Author: "Kang K" / Publisher: springer - Searchworks@Jio Institute Digital Library Search Results

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372 results on '"Kang K"'

1. Measurement of electrons from open heavy-flavor hadron decays in Au+Au collisions at <math> <msqrt> <msub> <mi>s</mi> <mi>NN</mi> </msub> </msqrt> </math> $$ \sqrt{s_{\textrm{NN}}} $$ = 200 GeV with the STAR detector

Author: Abdulhamid, M., Aboona, B., Adam, J., Adamczyk, L., Adams, J., Aggarwal, I., Aggarwal, M., Ahammed, Z., Anderson, D., Aschenauer, E., Aslam, S., Atchison, J., Bairathi, V., Baker, W., Ball Cap, J., Barish, K., Bellwied, R., Bhagat, P., Bhasin, A., Bhatta, S., Bielcik, J., Bielcikova, J., Brandenburg, J., Cai, X., Caines, H., Calderón de la Barca Sánchez, M., Cebra, D., Ceska, J., Chakaberia, I., Chaloupka, P., Chan, B., Chang, Z., Chatterjee, A., Chen, D., Chen, J., Chen, Z., Cheng, J., Cheng, Y., Choudhury, S., Christie, W., Chu, X., Crawford, H., Csanád, M., Dale-Gau, G., Das, A., Daugherity, M., Deppner, I., Dhamija, A., Carlo, L., Didenko, L., Dixit, P., Dong, X., Drachenberg, J., Duckworth, E., Dunlop, J., Engelage, J., Eppley, G., Esumi, S., Evdokimov, O., Ewigleben, A., Eyser, O., Fatemi, R., Fazio, S., Feng, C., Feng, Y., Finch, E., Fisyak, Y., Flor, F., Fu, C., Gagliardi, C., Galatyuk, T., Geurts, F., Ghimire, N., Gibson, A., Gopal, K., Gou, X., Grosnick, D., Gupta, A., Guryn, W., Hamed, A., Han, Y., Harabasz, S., Harasty, M., Harris, J., Harrison-Smith, H., He, W., He, X., He, Y., Herrmann, N., Holub, L., Hu, C., Hu, Q., Hu, Y., Huang, H., Huang, S., Huang, T., Huang, X., Huang, Y., Humanic, T., Isenhower, D., Isshiki, M., Jacobs, W., Jalotra, A., Jena, C., Jentsch, A., Ji, Y., Jia, J., Jin, C., Ju, X., Judd, E., Kabana, S., Kabir, M., Kagamaster, S., Kalinkin, D., Kang, K., Kapukchyan, D., Keane, D., Kelsey, M., Khyzhniak, Y., Kikoła, D., Kimelman, B., Kincses, D., Kisel, I., Kiselev, A., Knospe, A., Ko, H., Kosarzewski, L., Kramarik, L., Kumar, L., Kumar, S., Kunnawalkam Elayavalli, R., Lacey, R., Landgraf, J., Lauret, J., Lebedev, A., Lee, J., Leung, Y., Lewis, N., Li, C., Li, W., Li, X., Li, Y., Li, Z., Liang, X., Liang, Y., Licenik, R., Lin, T., Lisa, M., Liu, C., Liu, F., Liu, G., Liu, H., Liu, L., Liu, T., Liu, X., Liu, Y., Liu, Z., Ljubicic, T., Llope, W., Lomicky, O., Longacre, R., Loyd, E., Lu, T., Lukow, N., Luo, X., Ma, L., Ma, R., Ma, Y., Magdy, N., Mallick, D., Margetis, S., Markert, C., Matis, H., Mazer, J., McNamara, G., Mi, K., Mioduszewski, S., Mohanty, B., Mondal, M., Mooney, I., Mukherjee, A., Nagy, M., Nain, A., Nam, J., Nasim, M., Neff, D., Nelson, J., Nemes, D., Nie, M., Niida, T., Nishitani, R., Nonaka, T., Odyniec, G., Ogawa, A., Oh, S., Okubo, K., Page, B., Pak, R., Pan, J., Pandav, A., Pandey, A., Pani, T., Paul, A., Pawlik, B., Pawlowska, D., Perkins, C., Pluta, J., Pokhrel, B., Posik, M., Protzman, T., Prozorova, V., Pruthi, N., Przybycien, M., Putschke, J., Qin, Z., Qiu, H., Quintero, A., Racz, C., Radhakrishnan, S., Raha, N., Ray, R., Reed, R., Ritter, H., Robertson, C., Robotkova, M., Rosales Aguilar, M., Roy, D., Roy Chowdhury, P., Ruan, L., Sahoo, A., Sahoo, N., Sako, H., Salur, S., Sato, S., Schmidke, W., Schmitz, N., Seck, F-J., Seger, J., Seto, R., Seyboth, P., Shah, N., Shanmuganathan, P., Shao, T., Sharma, M., Sharma, N., Sharma, R., Sharma, S., Sheikh, A., Shen, D., Shen, K., Shi, S., Shi, Y., Shou, Q., Si, F., Singh, J., Singha, S., Sinha, P., Skoby, M., Smirnov, N., Söhngen, Y., Song, Y., Srivastava, B., Stanislaus, T., Stefaniak, M., Stewart, D., Stringfellow, B., Su, Y., Suaide, A., Sumbera, M., Sun, C., Sun, X., Sun, Y., Surrow, B., Sweger, Z., Szymanski, P., Tamis, A., Tang, A., Tang, Z., Tarnowsky, T., Thomas, J., Timmins, A., Tlusty, D., Todoroki, T., Tomkiel, C., Trentalange, S., Tribble, R., Tribedy, P., Truhlar, T., Trzeciak, B., Tsai, O., Tsang, C., Tu, Z., Tyler, J., Ullrich, T., Underwood, D., Upsal, I., Buren, G., Vanek, J., Vassiliev, I., Verkest, V., Videbæk, F., Voloshin, S., Wang, F., Wang, G., Wang, J., Wang, X., Wang, Y., Wang, Z., Webb, J., Weidenkaff, P., Westfall, G., Wielanek, D., Wieman, H., Wilks, G., Wissink, S., Witt, R., Wu, J., Wu, X., Wu, Y., Xi, B., Xiao, Z., Xie, G., Xie, W., Xu, H., Xu, N., Xu, Q., Xu, Y., Xu, Z., Yan, G., Yan, Z., Yang, C., Yang, Q., Yang, S., Yang, Y., Ye, Z., Yi, L., Yip, K., Yu, Y., Zbroszczyk, H., Zha, W., Zhang, C., Zhang, D., Zhang, J., Zhang, S., Zhang, W., Zhang, X., Zhang, Y., Zhang, Z., Zhao, F., Zhao, J., Zhao, M., Zhou, C., Zhou, J., Zhou, S., Zhou, Y., Zhu, X., Zurek, M., and Zyzak, M.
Abstract: We report a new measurement of the production of electrons from open heavy-flavor hadron decays (HFEs) at mid-rapidity (|y| < 0.7) in Au+Au collisions at s NN $$ \sqrt{s_{\textrm{NN}}} $$ = 200 GeV. Invariant yields of HFEs are measured for the transverse momentum range of 3.5 < p T < 9 GeV/c in various configurations of the collision geometry. The HFE yields in head-on Au+Au collisions are suppressed by approximately a factor of 2 compared to that in p + p collisions scaled by the average number of binary collisions, indicating strong interactions between heavy quarks and the hot and dense medium created in heavy-ion collisions. Comparison of these results with models provides additional tests of theoretical calculations of heavy quark energy loss in the quark-gluon plasma.
Published: 2023

2. Erratum to: Evidence of Mass Ordering of Charm and Bottom Quark Energy Loss in Au+Au Collisions at RHIC

Author: Abdallah, M., Aboona, B., Adam, J., Adamczyk, L., Adams, J., Adkins, J., Aggarwal, I., Aggarwal, M., Ahammed, Z., Anderson, D., Aschenauer, E., Atchison, J., Bai, X., Bairathi, V., Baker, W., Ball Cap, J., Barish, K., Bellwied, R., Bhagat, P., Bhasin, A., Bhatta, S., Bielcik, J., Bielcikova, J., Brandenburg, J., Cai, X., Caines, H., Barca Sánchez, M., Cebra, D., Chakaberia, I., Chaloupka, P., Chan, B., Chang, Z., Chatterjee, A., Chattopadhyay, S., Chen, D., Chen, J., Chen, X., Chen, Z., Cheng, J., Cheng, Y., Choudhury, S., Christie, W., Chu, X., Crawford, H., Csanád, M., Daugherity, M., Deppner, I., Dhamija, A., Carlo, L., Didenko, L., Dixit, P., Dong, X., Drachenberg, J., Duckworth, E., Dunlop, J., Engelage, J., Eppley, G., Esumi, S., Evdokimov, O., Ewigleben, A., Eyser, O., Fatemi, R., Fawzi, F., Fazio, S., Feng, C., Feng, Y., Finch, E., Fisyak, Y., Francisco, A., Fu, C., Gagliardi, C., Galatyuk, T., Geurts, F., Ghimire, N., Gibson, A., Gopal, K., Gou, X., Grosnick, D., Gupta, A., Guryn, W., Hamed, A., Han, Y., Harabasz, S., Harasty, M., Harris, J., Harrison, H., He, S., He, W., He, X., He, Y., Heppelmann, S., Herrmann, N., Hoffman, E., Holub, L., Hu, C., Hu, Q., Hu, Y., Huang, H., Huang, S., Huang, T., Huang, X., Huang, Y., Humanic, T., Isenhower, D., Isshiki, M., Jacobs, W., Jena, C., Jentsch, A., Ji, Y., Jia, J., Jiang, K., Jin, C., Ju, X., Judd, E., Kabana, S., Kabir, M., Kagamaster, S., Kalinkin, D., Kang, K., Kapukchyan, D., Kauder, K., Ke, H., Keane, D., Kelsey, M., Khyzhniak, Y., Kikoła, D., Kimelman, B., Kincses, D., Kisel, I., Kiselev, A., Knospe, A., Ko, H., Kosarzewski, L., Kramarik, L., Kumar, L., Kumar, S., Elayavalli, R., Kwasizur, J., Lacey, R., Lan, S., Landgraf, J., Lauret, J., Lebedev, A., Lee, J., Leung, Y., Lewis, N., Li, C., Li, W., Li, X., Li, Y., Li, Z., Liang, X., Liang, Y., Licenik, R., Lin, T., Lin, Y., Lisa, M., Liu, F., Liu, H., Liu, T., Liu, X., Liu, Y., Ljubicic, T., Llope, W., Longacre, R., Loyd, E., Lu, T., Lukow, N., Luo, X., Ma, L., Ma, R., Ma, Y., Magdy, N., Mallick, D., Margetis, S., Markert, C., Matis, H., Mazer, J., McNamara, G., Mioduszewski, S., Mohanty, B., Mondal, M., Mooney, I., Mukherjee, A., Nagy, M., Nain, A., Nam, J., Nasim, Md., Nayak, K., Neff, D., Nelson, J., Nemes, D., Nie, M., Niida, T., Nishitani, R., Nonaka, T., Nunes, A., Odyniec, G., Ogawa, A., Oh, S., Okubo, K., Page, B., Pak, R., Pan, J., Pandav, A., Pandey, A., Pani, T., Paul, A., Pawlik, B., Pawlowska, D., Perkins, C., Pluta, J., Pokhrel, B., Porter, J., Posik, M., Protzman, T., Prozorova, V., Pruthi, N., Przybycien, M., Putschke, J., Qin, Z., Qiu, H., Quintero, A., Racz, C., Radhakrishnan, S., Raha, N., Ray, R., Reed, R., Ritter, H., Robotkova, M., Romero, J., Roy, D., Chowdhury, P., Ruan, L., Sahoo, A., Sahoo, N., Sako, H., Salur, S., Sato, S., Schmidke, W., Schmitz, N., Seck, F.J., Seger, J., Seto, R., Seyboth, P., Shah, N., Shanmuganathan, P., Shao, M., Shao, T., Sharma, R., Sheikh, A., Shen, D., Shen, K., Shi, S., Shi, Y., Shou, Q., Sichtermann, E., Sikora, R., Singh, J., Singha, S., Sinha, P., Skoby, M., Smirnov, N., Söhngen, Y., Solyst, W., Song, Y., Srivastava, B., Stanislaus, T., Stewart, D., Stringfellow, B., Suaide, A., Sumbera, M., Sun, C., Sun, X., Sun, Y., Surrow, B., Sweger, Z., Szymanski, P., Tang, A., Tang, Z., Tarnowsky, T., Thomas, J., Timmins, A., Tlusty, D., Todoroki, T., Tomkiel, C., Trentalange, S., Tribble, R., Tribedy, P., Tripathy, S., Truhlar, T., Trzeciak, B., Tsai, O., Tsang, C., Tu, Z., Ullrich, T., Underwood, D., Upsal, I., Buren, G., Vanek, J., Vassiliev, I., Verkest, V., Videbæk, F., Voloshin, S., Wang, F., Wang, G., Wang, J., Wang, P., Wang, X., Wang, Y., Wang, Z., Webb, J., Weidenkaff, P., Westfall, G., Wielanek, D., Wieman, H., Wissink, S., Witt, R., Wu, J., Wu, X., Wu, Y., Xi, B., Xiao, Z., Xie, G., Xie, W., Xu, H., Xu, N., Xu, Q., Xu, Y., Xu, Z., Yan, G., Yan, Z., Yang, C., Yang, Q., Yang, S., Yang, Y., Ye, Z., Yi, L., Yip, K., Yu, Y., Zbroszczyk, H., Zha, W., Zhang, C., Zhang, D., Zhang, J., Zhang, S., Zhang, Y., Zhang, Z., Zhao, F., Zhao, J., Zhao, M., Zhou, C., Zhou, J., Zhou, Y., Zhu, X., Zurek, M., and Zyzak, M.
Published: 2023

3. The impact of social and cultural atmosphere on ethnic minority groups’ online entrepreneurship intention: A multi‑group analysis on the gender gap

Author: LI, L, Kang, K, LI, L, and Kang, K
Published: 2023

4. Two-particle angular correlations in e + e − collisions to hadronic final states in two reference coordinates at Belle

Author: Chen, Y.C., Lee, Y.J., Chang, P., Adachi, I., Aihara, H., Said, S., Asner, D., Atmacan, H., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Bodrov, D., Bonvicini, G., Borah, J., Bozek, A., Bračko, M., Branchini, P., Budano, A., Campajola, M., Červenkov, D., Chang, M.C., Chekelian, V., Cheon, B., Chilikin, K., Cho, H., Cho, K., Cho, S.J., Choi, S.K., Choi, Y., Choudhury, S., Cinabro, D., Das, S., Pietro, G., Dhamija, R., Capua, F., Dingfelder, J., Doležal, Z., Dong, T., Epifanov, D., Ferber, T., Ferlewicz, D., Fulsom, B., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Graziani, E., Gu, T., Hadjivasiliou, C., Hayasaka, K., Hayashii, H., Hedges, M., Herrmann, D., Hou, W.S., Hsu, C.L., Inami, K., Ipsita, N., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W., Jang, E.J., Jia, S., Jin, Y., Joo, K., Kang, K., Karyan, G., Kawasaki, T., Kiesling, C., Kim, C., Kim, D., Kim, K.H., Kim, Y.K., Kodyš, P., Korobov, A., Korpar, S., Kovalenko, E., Križan, P., Krokovny, P., Kumar, M., Kumar, R., Kumara, K., Kwon, Y.J., Lam, T., Lange, J., Lee, S., Li, J., Li, L., Li, Y., Gioi, L., Libby, J., Lin, C.W., Lieret, K., Liventsev, D., Masuda, M., Matsuda, T., Maurya, S., Meier, F., Merola, M., Miyabayashi, K., Mizuk, R., Mohanty, G., Mrvar, M., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, M., Nisar, N., Nishida, S., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlova, G., Pardi, S., Park, H., Park, S.H., Patra, S., Paul, S., Pedlar, T., Pestotnik, R., Piilonen, L., Podobnik, T., Prencipe, E., Prim, M., Rout, N., Russo, G., Sandilya, S., Sangal, A., Santelj, L., Savinov, V., Schnell, G., Schwanda, C., Seidl, R., Seino, Y., Senyo, K., Sevior, M., Shapkin, M., Sharma, C., Shen, C., Shiu, J.G., Solovieva, E., Starič, M., Stottler, Z., Strube, J., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, K., Uno, S., Urquijo, P., Tonder, R., Varner, G., Vinokurova, A., Vossen, A., Waheed, E., Wang, E., Wang, M.Z., Wang, X., Watanabe, M., Watanuki, S., Won, E., Yan, W., Yang, S., Yin, J., Yuan, C., Yusa, Y., Zhai, Y., Zhang, Z., Zhilich, V., and Zhukova, V.
Abstract: We present the analysis of two-particle angular correlations using coordinate systems defined with the conventional beam axis and the event thrust axis. We propose the latter as a good representation for the correlation structure interpretation in the e + e − collision system. The e + e − collisions to hadronic final states at center-of-mass energies of s $$ \sqrt{s} $$ = 10.52 GeV and 10.58 GeV are recorded by the Belle detector at KEKB. In this paper, results on the first dataset are supplementary to the previous Belle publication [1]. At the same time, the latter is the first two-particle correlation measurement at collision energy on the Υ(4S) resonance and is sensitive to its decay products. Measurements are reported as a function of the charged-particle multiplicity. Finally, a qualitative understanding of the correlation structure is discussed using a combination of Monte Carlo simulations and experimental data.
Published: 2023

5. Measurement of two-photon decay width of χ c2(1P) in γγ → χ c2(1P) → J/ψγ at Belle

Author: Seino, Y., Hayasaka, K., Uehara, S., Adachi, I., Aihara, H., Said, S., Asner, D., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Bodrov, D., Bonvicini, G., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T., Budano, A., Campajola, M., Červenkov, D., Chang, M.C., Chang, P., Chekelian, V., Chen, A., Cheon, B., Chilikin, K., Cho, H., Cho, K., Cho, S.J., Choi, S.K., Choi, Y., Choudhury, S., Cinabro, D., Das, S., Pietro, G., Dhamija, R., Capua, F., Dingfelder, J., Doležal, Z., Dong, T., Epifanov, D., Ferber, T., Ferlewicz, D., Fulsom, B., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Graziani, E., Hadjivasiliou, C., Hayashii, H., Hou, W.S., Hsu, C.L., Inami, K., Ipsita, N., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W., Jang, E.J., Jia, S., Jin, Y., Joo, K., Kakuno, H., Kang, K., Karyan, G., Kawasaki, T., Kiesling, C., Kim, C., Kim, D., Kim, K.H., Kim, Y.K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., Križan, P., Krokovny, P., Kumar, M., Kumar, R., Kumara, K., Lam, T., Lange, J., Lee, S., Li, C., Li, J., Li, L., Li, Y., Li Gioi, L., Libby, J., Lieret, K., Masuda, M., Matsuda, T., Matvienko, D., Maurya, S., Meier, F., Merola, M., Miyabayashi, K., Miyata, H., Mizuk, R., Mohanty, G., Mrvar, M., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N., Nishida, S., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, H., Park, S.H., Patra, S., Paul, S., Pedlar, T., Pestotnik, R., Piilonen, L., Podobnik, T., Prencipe, E., Prim, M., Rout, N., Russo, G., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Senyo, K., Sevior, M., Shapkin, M., Sharma, C., Shen, C., Shiu, J.G., Singh, J., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z., Strube, J., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, K., Uno, S., Tonder, R., Varner, G., Vinokurova, A., Waheed, E., Wang, E., Wang, M.Z., Wang, X., Watanabe, M., Watanuki, S., Won, E., Yabsley, B., Yan, W., Yang, S., Yin, J., Yuan, C., Yusa, Y., Zhai, Y., Zhang, Z., Zhilich, V., Zhukova, V., and Zhulanov, V.
Subjects: Nuclear and High Energy Physics
Abstract: We report the measurement of the two-photon decay width of χc2(1P) in two-photon processes at the Belle experiment. We analyze the process γγ → χc2(1P) → J/ψγ, J/ψ → ℓ+ℓ− (ℓ = e or μ) using a data sample of 971 fb−1 collected with the Belle detector at the KEKB e+e− collider. In this analysis, the product of the two-photon decay width of χc2(1P) and the branching fraction is determined to be $$ {\Gamma}_{\gamma \gamma}\left({\chi}_{c2}(1P)\right)\mathcal{B}\left({\chi}_{c2}(1P)\to J/\psi \gamma \right)\mathcal{B}\left(J/\psi \to {\ell}^{+}{\ell}^{-}\right)=14.8\pm 0.3\left(\textrm{stat}.\right)\pm 0.7\left(\textrm{syst}.\right) $$ Γ γγ χ c 2 1 P B χ c 2 1 P → J / ψγ B J / ψ → ℓ + ℓ − = 14.8 ± 0.3 stat . ± 0.7 syst . eV, which corresponds to Γγγ(χc2(1P)) = 653 ± 13(stat.) ± 31(syst.) ± 17(B.R.) eV, where the third uncertainty is from $$ \mathcal{B} $$ B (χc2(1P) → J/ψγ) and $$ \mathcal{B} $$ B (J/ψ → ℓ+ℓ−).
Published: 2023

6. Evidence of Mass Ordering of Charm and Bottom Quark Energy Loss in Au+Au Collisions at RHIC

Author: STAR Collaboration, Abdallah, M. S., Aboona, B. E., Adam, J., Adamczyk, L., Adams, J. R., Adkins, J. K., Aggarwal, I., Aggarwal, M. M., Ahammed, Z., Anderson, D. M., Aschenauer, E. C., Atchison, J., Bai, X., Bairathi, V., Baker, W., Cap, J. G. Ball, Barish, K., Bellwied, R., Bhagat, P., Bhasin, A., Bhatta, S., Bielcik, J., Bielcikova, J., Brandenburg, J. D., Cai, X. Z., Caines, H., Sánchez, M. Calderón de la Barca, Cebra, D., Chakaberia, I., Chaloupka, P., Chan, B. K., Chang, Z., Chatterjee, A., Chattopadhyay, S., Chen, D., Chen, J., Chen, J. H., Chen, X., Chen, Z., Cheng, J., Cheng, Y., Choudhury, S., Christie, W., Chu, X., Crawford, H. J., Csanád, M., Daugherity, M., Deppner, I. M., Dhamija, A., Di Carlo, L., Didenko, L., Dixit, P., Dong, X., Drachenberg, J. L., Duckworth, E., Dunlop, J. C., Engelage, J., Eppley, G., Esumi, S., Evdokimov, O., Ewigleben, A., Eyser, O., Fatemi, R., Fawzi, F. M., Fazio, S., Feng, C. J., Feng, Y., Finch, E., Fisyak, Y., Francisco, A., Fu, C., Gagliardi, C. A., Galatyuk, T., Geurts, F., Ghimire, N., Gibson, A., Gopal, K., Gou, X., Grosnick, D., Gupta, A., Guryn, W., Hamed, A., Han, Y., Harabasz, S., Harasty, M. D., Harris, J. W., Harrison, H., He, S., He, W., He, X. H., He, Y., Heppelmann, S., Herrmann, N., Hoffman, E., Holub, L., Hu, C., Hu, Q., Hu, Y., Huang, H., Huang, H. Z., Huang, S. L., Huang, T., Huang, X., Huang, Y., Humanic, T. J., Isenhower, D., Isshiki, M., Jacobs, W. W., Jena, C., Jentsch, A., Ji, Y., Jia, J., Jiang, K., Jin, C., Ju, X., Judd, E. G., Kabana, S., Kabir, M. L., Kagamaster, S., Kalinkin, D., Kang, K., Kapukchyan, D., Kauder, K., Ke, H. W., Keane, D., Kelsey, M., Khyzhniak, Y. V., Kikoła, D. P., Kimelman, B., Kincses, D., Kisel, I., Kiselev, A., Knospe, A. G., Ko, H. S., Kosarzewski, L. K., Kramarik, L., Kumar, L., Kumar, S., Elayavalli, R. Kunnawalkam, Kwasizur, J. H., Lacey, R., Lan, S., Landgraf, J. M., Lauret, J., Lebedev, A., Lee, J. H., Leung, Y. H., Lewis, N., Li, C., Li, W., Li, X., Li, Y., Li, Z., Liang, X., Liang, Y., Licenik, R., Lin, T., Lin, Y., Lisa, M. A., Liu, F., Liu, H., Liu, T., Liu, X., Liu, Y., Ljubicic, T., Llope, W. J., Longacre, R. S., Loyd, E., Lu, T., Lukow, N. S., Luo, X. F., Ma, L., Ma, R., Ma, Y. G., Magdy, N., Mallick, D., Margetis, S., Markert, C., Matis, H. S., Mazer, J. A., McNamara, G., Mioduszewski, S., Mohanty, B., Mondal, M. M., Mooney, I., Mukherjee, A., Nagy, M. I., Nain, A. S., Nam, J. D., Nasim, Md., Nayak, K., Neff, D., Nelson, J. M., Nemes, D. B., Nie, M., Niida, T., Nishitani, R., Nonaka, T., Nunes, A. S., Odyniec, G., Ogawa, A., Oh, S., Okubo, K., Page, B. S., Pak, R., Pan, J., Pandav, A., Pandey, A. K., Pani, T., Paul, A., Pawlik, B., Pawlowska, D., Perkins, C., Pluta, J., Pokhrel, B. R., Porter, J., Posik, M., Protzman, T., Prozorova, V., Pruthi, N. K., Przybycien, M., Putschke, J., Qin, Z., Qiu, H., Quintero, A., Racz, C., Radhakrishnan, S. K., Raha, N., Ray, R. L., Reed, R., Ritter, H. G., Robotkova, M., Romero, J. L., Roy, D., Chowdhury, P. Roy, Ruan, L., Sahoo, A. K., Sahoo, N. R., Sako, H., Salur, S., Sato, S., Schmidke, W. B., Schmitz, N., Seck, F-J., Seger, J., Seto, R., Seyboth, P., Shah, N., Shanmuganathan, P. V., Shao, M., Shao, T., Sharma, R., Sheikh, A. I., Shen, D. Y., Shen, K., Shi, S. S., Shi, Y., Shou, Q. Y., Sichtermann, E. P., Sikora, R., Singh, J., Singha, S., Sinha, P., Skoby, M. J., Smirnov, N., Söhngen, Y., Solyst, W., Song, Y., Srivastava, B., Stanislaus, T. D. S., Stewart, D. J., Stringfellow, B., Suaide, A. A. P., Sumbera, M., Sun, C., Sun, X. M., Sun, X., Sun, Y., Surrow, B., Sweger, Z. W., Szymanski, P., Tang, A. H., Tang, Z., Tarnowsky, T., Thomas, J. H., Timmins, A. R., Tlusty, D., Todoroki, T., Tomkiel, C. A., Trentalange, S., Tribble, R. E., Tribedy, P., Tripathy, S. K., Truhlar, T., Trzeciak, B. A., Tsai, O. D., Tsang, C. Y., Tu, Z., Ullrich, T., Underwood, D. G., Upsal, I., Van Buren, G., Vanek, J., Vassiliev, I., Verkest, V., Videbæk, F., Voloshin, S. A., Wang, F., Wang, G., Wang, J. S., Wang, P., Wang, X., Wang, Y., Wang, Z., Webb, J. C., Weidenkaff, P. C., Westfall, G. D., Wielanek, D., Wieman, H., Wissink, S. W., Witt, R., Wu, J., Wu, X., Wu, Y., Xi, B., Xiao, Z. G., Xie, G., Xie, W., Xu, H., Xu, N., Xu, Q. H., Xu, Y., Xu, Z., Yan, G., Yan, Z., Yang, C., Yang, Q., Yang, S., Yang, Y., Ye, Z., Yi, L., Yip, K., Yu, Y., Zbroszczyk, H., Zha, W., Zhang, C., Zhang, D., Zhang, J., Zhang, S., Zhang, Y., Zhang, Z. J., Zhang, Z., Zhao, F., Zhao, J., Zhao, M., Zhou, C., Zhou, J., Zhou, Y., Zhu, X., Zurek, M., and Zyzak, M.
Subjects: Physics and Astronomy (miscellaneous), High Energy Physics::Phenomenology, FOS: Physical sciences, High Energy Physics::Experiment, Nuclear Experiment (nucl-ex), Nuclear Experiment, Engineering (miscellaneous)
Abstract: Partons traversing the strongly interacting medium produced in heavy-ion collisions are expected to lose energy depending on their color charge and mass. We measure the nuclear modification factors for charm- and bottom-decay electrons, defined as the ratio of yields, divided by the number of binary nucleon–nucleon collisions, in $$\sqrt{s_{\textrm{NN}}}=200$$ s NN = 200 GeV Au+Au collisions to p+p collisions ($$R_{\textrm{AA}}$$ R AA ), or in central to peripheral Au+Au collisions ($$R_{\textrm{CP}}$$ R CP ). We find the bottom-decay electron $$R_{\textrm{AA}}$$ R AA and $$R_{\textrm{CP}}$$ R CP to be significantly higher than those of charm-decay electrons. Model calculations including mass-dependent parton energy loss in a strongly coupled medium are consistent with the measured data. These observations provide evidence of mass ordering of charm and bottom quark energy loss when traversing through the strongly coupled medium created in heavy-ion collisions.
Published: 2022

7. Erratum to: Combined analysis of Belle and Belle II data to determine the CKM angle ϕ 3 using B+ → D( <math> <msubsup> <mi>K</mi> <mi>S</mi> <mn>0</mn> </msubsup> </math> $$ {\textrm{K}}_{\textrm{S}}^0 $$ h+h − )h+ decays

Author: Abudinén, F., Aggarwal, L., Ahmed, H., Aihara, H., Akopov, N., Said, S., Aloisio, A., Anh Ky, N., Asner, D., Atmacan, H., Aushev, V., Ayad, R., Babu, V., Bacher, S., Baehr, S., Bahinipati, S., Bambade, P., Banerjee, Sw., Bansal, S., Baudot, J., Becker, J., Behera, P., Belous, K., Bennett, J., Bernlochner, F., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bianchi, F., Bilka, T., Biswas, D., Bobrov, A., Bodrov, D., Bonvicini, G., Borah, J., Bozek, A., Bračko, M., Branchini, P., Briere, R., Browder, T., Budano, A., Bussino, S., Campajola, M., Cao, L., Casarosa, G., Cecchi, C., Červenkov, D., Cheema, P., Chekelian, V., Chen, A., Cheon, B., Chilikin, K., Chirapatpimol, K., Cho, H.E., Cho, S.J., Choi, S.K., Choi, Y., Choudhury, S., Cinabro, D., Corona, L., Cunliffe, S., Czank, T., Das, S., Dattola, F., Cruz-Burelo, E., Marino, G., Maurya, S., Nardo, G., Nuccio, M., Pietro, G., Sangro, R., Destefanis, M., Dey, S., Yta-Hernandez, A., Dhamija, R., Canto, A., Doležal, Z., Domínguez Jiménez, I., Dong, T., Dorigo, M., Dossett, D., Dubey, S., Dujany, G., Eliachevitch, M., Epifanov, D., Feichtinger, P., Ferlewicz, D., Fillinger, T., Fiore, S., Fodor, A., Forti, F., Fulsom, B., Gabrielli, A., Ganiev, E., Garcia-Hernandez, M., Gaur, V., Gaz, A., Giordano, R., Giri, A., Glazov, A., Godang, R., Goldenzweig, P., Golob, B., Gradl, W., Graziani, E., Greenwald, D., Gu, T., Guan, Y., Gudkova, K., Guilliams, J., Hadjivasiliou, C., Halder, S., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hazra, S., Heredia de la Cruz, I., Hershenhorn, A., Higuchi, T., Hill, E., Hou, W.S., Hsu, C.L., Iijima, T., Inami, K., Ishikawa, A., Iwasaki, M., Jacobs, W., Jang, E.J., Jin, Y., Junkerkalefeld, H., Kaliyar, A., Kang, K., Karl, R., Karyan, G., Kato, Y., Ketter, C., Kiesling, C., Kim, C.H., Kim, D., Kim, K.H., Kim, Y.K., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Korpar, S., Kovalenko, E., Kraetzschmar, T., Križan, P., Krokovny, P., Kuhr, T., Kumar, J., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.J., Lacaprara, S., Lai, Y.T., Licata, C., Lanceri, L., Lange, J., Leboucher, R., Lee, S., Leitl, P., Li, J., Li, S., Gioi, L., Libby, J., Lieret, K., Liptak, Z., Liu, Q., Liventsev, D., Longo, S., Lueck, T., Lyu, C., Maggiora, M., Maiti, R., Maity, S., Manfredi, R., Manoni, E., Marcello, S., Martini, A., Massaccesi, L., Masuda, M., Matsuoka, K., Matvienko, D., McKenna, J., Meier, F., Merola, M., Metzner, F., Milesi, M., Miller, C., Miyabayashi, K., Mizuk, R., Mohanty, G., Molina-Gonzalez, N., Moser, H.G., Mueller, F., Murphy, C., Mussa, R., Nakamura, K., Nakano, T., Nakao, M., Naruki, M., Narwal, D., Natochii, A., Nayak, L., Nayak, M., Nazaryan, G., Nisar, N., Nishida, S., Nishimura, K., Onishchuk, Y., Ono, H., Oskin, P., Pakhlova, G., Paladino, A., Panta, A., Paoloni, E., Parham, K., Park, S.H., Passeri, A., Pathak, A., Patra, S., Pestotnik, R., Piilonen, L., Podobnik, T., Pokharel, S., Polat, L., Praz, C., Prell, S., Prencipe, E., Prim, M., Purwar, H., Rabusov, A., Rados, P., Raiz, S., Reiter, S., Remnev, M., Ripp-Baudot, I., Rizzo, G., Rizzuto, L., Robertson, S., Röhrken, M., Roney, J., Rostomyan, A., Rout, N., Sahoo, D., Sanders, D., Sandilya, S., Santelj, L., Sato, Y., Savinov, V., Scavino, B., Schnell, G., Schueler, J., Schwartz, A., Seino, Y., Selce, A., Senyo, K., Sevior, M., Shapkin, M., Sharma, C., Shillington, T., Shwartz, B., Sibidanov, A., Simon, F., Singh, J., Soffer, A., Solovieva, E., Spataro, S., Spruck, B., Stefkova, S., Stottler, Z., Stroili, R., Sumisawa, K., Sutcliffe, W., Suzuki, S., Tabata, M., Takizawa, M., Tanida, K., Tenchini, F., Tiwary, R., Tonelli, D., Torassa, E., Trabelsi, K., Uchida, M., Ueda, I., Uglov, T., Uno, K., Uno, S., Ushiroda, Y., Vahsen, S., Tonder, R., Varvell, K., Vinokurova, A., Vitale, L., Wakeling, H., Wang, E., Wang, M.Z., Wang, X., Warburton, A., Watanuki, S., Werbycka, O., Wessel, C., Won, E., Yabsley, B., Yan, W., Ye, H., Yoshihara, K., Yusa, Y., Zani, L., Zhai, Y., Zhang, Y., Zhilich, V., Zhou, Q., Zhou, X., and Zhukova, V.
Published: 2022

8. Combined analysis of Belle and Belle II data to determine the CKM angle ϕ 3 using B + → D( <math> <msubsup> <mi>K</mi> <mi>S</mi> <mn>0</mn> </msubsup> </math> $$ {K}_S^0 $$ h + h − )h + decays

Author: Abudinén, F., Aggarwal, L., Ahmed, H., Aihara, H., Akopov, N., Said, S., Aloisio, A., Anh Ky, N., Asner, D., Atmacan, H., Aushev, V., Ayad, R., Babu, V., Bacher, S., Baehr, S., Bahinipati, S., Bambade, P., Banerjee, Sw., Bansal, S., Baudot, J., Becker, J., Behera, P., Belous, K., Bennett, J., Bernlochner, F., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bianchi, F., Bilka, T., Biswas, D., Bobrov, A., Bodrov, D., Bonvicini, G., Borah, J., Bozek, A., Bračko, M., Branchini, P., Briere, R., Browder, T., Budano, A., Bussino, S., Campajola, M., Cao, L., Casarosa, G., Cecchi, C., Červenkov, D., Cheema, P., Chekelian, V., Chen, A., Cheon, B., Chilikin, K., Chirapatpimol, K., Cho, H.E., Cho, S.J., Choi, S.K., Choi, Y., Choudhury, S., Cinabro, D., Corona, L., Cunliffe, S., Czank, T., Das, S., Dattola, F., Cruz-Burelo, E., Marino, G., Maurya, S., Nardo, G., Nuccio, M., Pietro, G., Sangro, R., Destefanis, M., Dey, S., Yta-Hernandez, A., Dhamija, R., Canto, A., Doležal, Z., Domínguez Jiménez, I., Dong, T., Dorigo, M., Dossett, D., Dubey, S., Dujany, G., Eliachevitch, M., Epifanov, D., Feichtinger, P., Ferlewicz, D., Fillinger, T., Fiore, S., Fodor, A., Forti, F., Fulsom, B., Gabrielli, A., Ganiev, E., Garcia-Hernandez, M., Gaur, V., Gaz, A., Giordano, R., Giri, A., Glazov, A., Godang, R., Goldenzweig, P., Golob, B., Gradl, W., Graziani, E., Greenwald, D., Gu, T., Guan, Y., Gudkova, K., Guilliams, J., Hadjivasiliou, C., Halder, S., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hazra, S., Heredia de la Cruz, I., Hershenhorn, A., Higuchi, T., Hill, E., Hou, W.S., Hsu, C.L., Iijima, T., Inami, K., Ishikawa, A., Iwasaki, M., Jacobs, W., Jang, E.J., Jin, Y., Junkerkalefeld, H., Kaliyar, A., Kang, K., Karl, R., Karyan, G., Kato, Y., Ketter, C., Kiesling, C., Kim, C.H., Kim, D., Kim, K.H., Kim, Y.K., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Korpar, S., Kovalenko, E., Kraetzschmar, T., Križan, P., Krokovny, P., Kuhr, T., Kumar, J., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.J., Lacaprara, S., Lai, Y.T., Licata, C., Lanceri, L., Lange, J., Leboucher, R., Lee, S., Leitl, P., Li, J., Li, S., Gioi, L., Libby, J., Lieret, K., Liptak, Z., Liu, Q., Liventsev, D., Longo, S., Lueck, T., Lyu, C., Maggiora, M., Maiti, R., Maity, S., Manfredi, R., Manoni, E., Marcello, S., Martini, A., Massaccesi, L., Masuda, M., Matsuoka, K., Matvienko, D., McKenna, J., Meier, F., Merola, M., Metzner, F., Milesi, M., Miller, C., Miyabayashi, K., Mizuk, R., Mohanty, G., Molina-Gonzalez, N., Moser, H.G., Mueller, F., Murphy, C., Mussa, R., Nakamura, K., Nakano, T., Nakao, M., Naruki, M., Narwal, D., Natochii, A., Nayak, L., Nayak, M., Nazaryan, G., Nisar, N., Nishida, S., Nishimura, K., Onishchuk, Y., Ono, H., Oskin, P., Pakhlova, G., Paladino, A., Panta, A., Paoloni, E., Parham, K., Park, S.H., Passeri, A., Pathak, A., Patra, S., Pestotnik, R., Piilonen, L., Podobnik, T., Pokharel, S., Polat, L., Praz, C., Prell, S., Prencipe, E., Prim, M., Purwar, H., Rabusov, A., Rados, P., Raiz, S., Reiter, S., Remnev, M., Ripp-Baudot, I., Rizzo, G., Rizzuto, L., Robertson, S., Röhrken, M., Roney, J., Rostomyan, A., Rout, N., Sahoo, D., Sanders, D., Sandilya, S., Santelj, L., Sato, Y., Savinov, V., Scavino, B., Schnell, G., Schueler, J., Schwartz, A., Seino, Y., Selce, A., Senyo, K., Sevior, M., Shapkin, M., Sharma, C., Shillington, T., Shwartz, B., Sibidanov, A., Simon, F., Singh, J., Soffer, A., Solovieva, E., Spataro, S., Spruck, B., Stefkova, S., Stottler, Z., Stroili, R., Sumisawa, K., Sutcliffe, W., Suzuki, S., Tabata, M., Takizawa, M., Tanida, K., Tenchini, F., Tiwary, R., Tonelli, D., Torassa, E., Trabelsi, K., Uchida, M., Ueda, I., Uglov, T., Uno, K., Uno, S., Ushiroda, Y., Vahsen, S., Tonder, R., Varvell, K., Vinokurova, A., Vitale, L., Wakeling, H., Wang, E., Wang, M.Z., Wang, X., Warburton, A., Watanuki, S., Werbycka, O., Wessel, C., Won, E., Yabsley, B., Yan, W., Ye, H., Yoshihara, K., Yusa, Y., Zani, L., Zhai, Y., Zhang, Y., Zhilich, V., Zhou, Q., Zhou, X., and Zhukova, V.
Abstract: We present a measurement of the Cabibbo-Kobayashi-Maskawa unitarity triangle angle ϕ 3 (also known as γ) using a model-independent Dalitz plot analysis of B + → D ( K S 0 $$ {K}_S^0 $$ h + h − )h +, where D is either a D 0 or D ¯ $$ \overline{D} $$ 0 meson and h is either a π or K. This is the first measurement that simultaneously uses Belle and Belle II data, combining samples corresponding to integrated luminosities of 711 fb −1 and 128 fb −1, respectively. All data were accumulated from energy-asymmetric e + e − collisions at a centre-of-mass energy corresponding to the mass of the Υ(4S) resonance. We measure ϕ 3 = (78.4 ± 11.4 ± 0.5 ± 1.0)°, where the first uncertainty is statistical, the second is the experimental systematic uncertainty and the third is from the uncertainties on external measurements of the D-decay strong-phase parameters.
Published: 2022

9. Search for the Dark Photon in B-0 -> A ' A ', A ' -> e(+)e(-), mu(+)mu(-), and pi(+)pi(-) decays at Belle

Author: Park, S.-H., Kwon, Y.-J., Behera, P., Lee, I. S., Lee, S. C., Li, C. H., Li, J., Li, L. K., Li, Y. B., Li Gioi, L., Libby, J., Lieret, K., Liptak, Z., Bennett, J., Liventsev, D., Luo, T., MacNaughton, J., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Bessner, M., Mizuk, R., Mohanty, G. B., Mohanty, S., Mori, T., Moser, H.-G., Mrvar, M., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Bhardwaj, V., Nayak, L., Nayak, M., Niiyama, M., Nisar, N. K., Nishida, S., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Bhuyan, B., Pakhlova, G., Pardi, S., Park, C. W., Park, H., Patra, S., Paul, S., Pedlar, T. K., Pestotnik, R., Piilonen, L. E., Podobnik, T., Bilka, T., Popov, V., Prencipe, E., Prim, M. T., Ritter, M., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sakai, Y., Sandilya, S., Biswal, J., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Seino, Y., Senyo, K., Sevior, M. E., Bonvicini, G., Shapkin, M., Sharma, C., Shen, C. P., Shiu, J.-G., Sokolov, A., Solovieva, E., Stanič, S., Starič, M., Stottler, Z. S., Strube, J. F., Bozek, A., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Bračko, M., Uno, S., Urquijo, P., Vahsen, S. E., Van Tonder, R., Varner, G., Varvell, K. E., Vinokurova, A., Vorobyev, V., Waheed, E., Wang, C. H., Adachi, I., Browder, T. E., Wang, E., Wang, M.-Z., Wang, P., Watanabe, M., Watanuki, S., Wehle, S., Won, E., Xu, X., Yabsley, B. D., Yan, W., Campajola, M., Yang, S. B., Ye, H., Yelton, J., Yin, J. H., Yusa, Y., Zhang, Z. P., Zhilich, V., Zhukova, V., Zhulanov, V., Belle Collaboration, Cao, L., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B. G., Chilikin, K., Cho, H. E., Aihara, H., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Al Said, S., Di Capua, F., Dingfelder, J., Doležal, Z., Dong, T. V., Eidelman, S., Epifanov, D., Ferlewicz, D., Fulsom, B. G., Garg, R., Gaur, V., Asner, D. M., Garmash, A., Giri, A., Goldenzweig, P., Guan, Y., Gudkova, K., Hadjivasiliou, C., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Atmacan, H., Hedges, M. T., Hernandez Villanueva, M., Hou, W.-S., Hsu, C.-L., Huang, K., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Aushev, T., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jaegle, I., Jang, E.-J., Jeon, H. B., Jia, S., Jin, Y., Joo, C. W., Joo, K. K., Ayad, R., Kang, K. H., Karyan, G., Kawasaki, T., Kiesling, C., Kim, D. Y., Kim, K.-H., Kim, S. H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Babu, V., Konno, T., Korpar, S., Kotchetkov, D., Križan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumara, K., Lalwani, K., Belle, Collaboration, Campajola, M., De Nardo, G., Di Capua, F., Merola, M., Pardi, S., Russo, G., and Et, Al.
Subjects: pair production [photon], e+-e- Experiment, Nuclear and High Energy Physics, Particle physics, pair production [charged particle], B physic, mass [photon], BELLE, QC770-798, annihilation [electron positron], 01 natural sciences, Dark photon, Prime (order theory), B physics, KEKB, KEK-B, decay modes [B0], Nuclear and particle physics. Atomic energy. Radioactivity, 0103 physical sciences, decay rate [photon], ddc:530, hidden sector [photon], pair production [electron], pair production [muon], 010306 general physics, Physics, e+-e- Experiments, 010308 nuclear & particles physics, Branching fraction, Order (ring theory), Resonance, decay modes [photon], mass [Higgs particle], Belle detector, 3. Good health, pair production [B], Rare decay, pair production [pi], Beyond Standard Model, dark photon, Higgs boson, electroproduction [Upsilon(10570)], colliding beams [electron positron], High Energy Physics::Experiment, branching ratio: upper limit [B0], experimental results
Abstract: We present a search for the dark photon A′ in the B0 → A′A′ decays, where A′ subsequently decays to e+e−, μ+μ−, and π+π−. The search is performed by analyzing 772 × 106$$ B\overline{B} $$ B B ¯ events collected by the Belle detector at the KEKB e+e− energy-asymmetric collider at the ϒ(4S) resonance. No signal is found in the dark photon mass range 0.01 GeV/c2 ≤ mA′ ≤ 2.62 GeV/c2, and we set upper limits of the branching fraction of B0 → A′A′ at the 90% confidence level. The products of branching fractions, $$ \mathrm{\mathcal{B}}\left({B}^0\to A^{\prime }A^{\prime}\right)\times \mathrm{\mathcal{B}}{\left(A\prime \to {e}^{+}{e}^{-}\right)}^2 $$ ℬ B 0 → A ′ A ′ × ℬ A ′ → e + e − 2 and $$ \mathrm{\mathcal{B}}\left({B}^0\to A^{\prime }A^{\prime}\right)\times \mathrm{\mathcal{B}}{\left(A\prime \to {\mu}^{+}{\mu}^{-}\right)}^2 $$ ℬ B 0 → A ′ A ′ × ℬ A ′ → μ + μ − 2 , have limits of the order of 10−8 depending on the A′ mass. Furthermore, considering A′ decay rate to each pair of charged particles, the upper limits of $$ \mathrm{\mathcal{B}}\left({B}^0\to A^{\prime }A^{\prime}\right) $$ ℬ B 0 → A ′ A ′ are of the order of 10−8–10−5. From the upper limits of $$ \mathrm{\mathcal{B}}\left({B}^0\to A^{\prime }A^{\prime}\right) $$ ℬ B 0 → A ′ A ′ , we obtain the Higgs portal coupling for each assumed dark photon and dark Higgs mass. The Higgs portal couplings are of the order of 10−2–10−1 at $$ {m}_{h\prime}\simeq {m}_{B^0} $$ m h ′ ≃ m B 0 ± 40 MeV/c2 and 10−1–1 at $$ {m}_{h\prime}\simeq {m}_{B^0} $$ m h ′ ≃ m B 0 ± 3 GeV/c2.
Published: 2021

10. Waste bio-tar based N-doped porous carbon for supercapacitors under dual activation: performance, mechanism, and assessment

Author: Jixiu Jia, Yuxuan Sun, Zhidan Liu, Ziyun Liu, Lili Huo, Kang Kang, Yanan Zhao, Lixin Zhao, Teng Xie, Maojiong Cao, and Zonglu Yao
Subjects: Bio-tar, Dual activation, Techno-economic assessment, Porous carbon, N-doping, Supercapacitors, Environmental sciences, GE1-350, Agriculture
Abstract: Abstract Bio-tar extra-produced from biomass pyrolysis is prone to pose a threat to environment and human health. A novel N-doped porous electrode from bio-tar was produced under dual-activation of urea and KOH in this study. One-pot dual-activation played significant roles in N-functional group and micro-mesoporous structure, which resulted in the carbon material with the highest of nitrogen content (4.08%) and the special surface area (1298.26 m2·g−1). Specifically, the potential mechanisms of pore formation and N-doping in the one-pot dual-activation strategy were also proposed as a consequence, the one-pot dual-activated carbon material displayed excellent electrochemical performance with the highest capacitance of 309.5 F·g−1 at 0.5 A·g−1, and the unipolar specific capacitance remained with cyclic characteristics of 80.1% after 10,000 cycles in two-electrode symmetric system. Furthermore, the one-pot dual-activation strategy could create a profit of $1.64–$2.38 per kilogram of bio-tar processed without considering the initial investment and labor costs, which provides new perspectives for the utilization of waste bio-tar. Graphical Abstract
Published: 2023
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11. Measurement of the central exclusive production of charged particle pairs in proton-proton collisions at <math> <msqrt> <mi>s</mi> </msqrt> </math> $$ \sqrt{s} $$ = 200 GeV with the STAR detector at RHIC

Author: STAR Collaboration, Adam, J., Adamczyk, L., Adams, J. R., Adkins, J. K., Agakishiev, G., Aggarwal, M. M., Ahammed, Z., Alekseev, I., Anderson, D. M., Aparin, A., Aschenauer, E. C., Ashraf, M. U., Atetalla, F. G., Attri, A., Averichev, G. S., Bairathi, V., Barish, K., Behera, A., Bellwied, R., Bhasin, A., Bielcik, J., Bielcikova, J., Bland, L. C., Bordyuzhin, I. G., Brandenburg, J. D., Brandin, A. V., Butterworth, J., Caines, H., S��nchez, M. Calder��n de la Barca, Cebra, D., Chakaberia, I., Chaloupka, P., Chan, B. K., Chang, F-H., Chang, Z., Chankova-Bunzarova, N., Chatterjee, A., Chen, D., Chen, J. H., Chen, X., Chen, Z., Cheng, J., Cherney, M., Chevalier, M., Choudhury, S., Christie, W., Chu, X., Crawford, H. J., Csan��d, M., Daugherity, M., Dedovich, T. G., Deppner, I. M., Derevschikov, A. A., Didenko, L., Dong, X., Drachenberg, J. L., Dunlop, J. C., Edmonds, T., Elsey, N., Engelage, J., Eppley, G., Esha, R., Esumi, S., Evdokimov, O., Ewigleben, A., Eyser, O., Fatemi, R., Fazio, S., Federic, P., Fedorisin, J., Feng, C. J., Feng, Y., Filip, P., Finch, E., Fisyak, Y., Francisco, A., Fulek, L., Gagliardi, C. A., Galatyuk, T., Geurts, F., Gibson, A., Gopal, K., Grosnick, D., Guryn, W., Hamad, A. I., Hamed, A., Harabasz, S., Harris, J. W., He, S., He, W., He, X. H., Heppelmann, S., Herrmann, N., Hoffman, E., Holub, L., Hong, Y., Horvat, S., Hu, Y., Huang, H. Z., Huang, S. L., Huang, T., Huang, X., Humanic, T. J., Huo, P., Igo, G., Isenhower, D., Jacobs, W. W., Jena, C., Jentsch, A., JI, Y., Jia, J., Jiang, K., Jowzaee, S., Ju, X., Judd, E. G., Kabana, S., Kabir, M. L., Kagamaster, S., Kalinkin, D., Kang, K., Kapukchyan, D., Kauder, K., Ke, H. W., Keane, D., Kechechyan, A., Kelsey, M., Khyzhniak, Y. V., Kiko��a, D. P., Kim, C., Kimelman, B., Kincses, D., Kinghorn, T. A., Kisel, I., Kiselev, A., Kisiel, A., Kocan, M., Kochenda, L., Kosarzewski, L. K., Kramarik, L., Kravtsov, P., Krueger, K., Mudiyanselage, N. Kulathunga, Kumar, L., Elayavalli, R. Kunnawalkam, Kwasizur, J. H., Lacey, R., Lan, S., Landgraf, J. M., Lauret, J., Lebedev, A., Lednicky, R., Lee, J. H., Leung, Y. H., Li, C., Li, W., Li, X., Li, Y., Liang, Y., Licenik, R., Lin, T., Lin, Y., Lisa, M. A., Liu, F., Liu, H., Liu, P., Liu, T., Liu, X., Liu, Y., Liu, Z., Ljubicic, T., Llope, W. J., Longacre, R. S., Lukow, N. S., Luo, S., Luo, X., Ma, G. L., Ma, L., Ma, R., Ma, Y. G., Magdy, N., Majka, R., Mallick, D., Margetis, S., Markert, C., Matis, H. S., Mazer, J. A., Minaev, N. G., Mioduszewski, S., Mohanty, B., Mondal, M. M., Mooney, I., Moravcova, Z., Morozov, D. A., Nagy, M., Nam, J. D., Nasim, Md., Nayak, K., Neff, D., Nelson, J. M., Nemes, D. B., Nie, M., Nigmatkulov, G., Niida, T., Nogach, L. V., Nonaka, T., Nunes, A. S., Odyniec, G., Ogawa, A., Oh, S., Okorokov, V. A., Page, B. S., Pak, R., Pandav, A., Panebratsev, Y., Pawlik, B., Pawlowska, D., Pei, H., Perkins, C., Pinsky, L., Pint��r, R. L., Pluta, J., Porter, J., Posik, M., Pruthi, N. K., Przybycien, M., Putschke, J., Qiu, H., Quintero, A., Radhakrishnan, S. K., Ramachandran, S., Ray, R. L., Reed, R., Ritter, H. G., Roberts, J. B., Rogachevskiy, O. V., Romero, J. L., Ruan, L., Rusnak, J., Sahoo, N. R., Sako, H., Salur, S., Sandweiss, J., Sato, S., Schmidke, W. B., Schmitz, N., Schweid, B. R., Seck, F., Seger, J., Sergeeva, M., Seto, R., Seyboth, P., Shah, N., Shahaliev, E., Shanmuganathan, P. V., Shao, M., Shen, F., Shen, W. Q., Shi, S. S., Shou, Q. Y., Sichtermann, E. P., Sikora, R., Simko, M., Singh, J., Singha, S., Smirnov, N., Solyst, W., Sorensen, P., Spinka, H. M., Srivastava, B., Stanislaus, T. D. S., Stefaniak, M., Stewart, D. J., Strikhanov, M., Stringfellow, B., Suaide, A. A. P., Sumbera, M., Summa, B., Sun, X. M., Sun, X., Sun, Y., Surrow, B., Svirida, D. N., Szymanski, P., Tang, A. H., Tang, Z., Taranenko, A., Tarnowsky, T., Thomas, J. H., Timmins, A. R., Tlusty, D., Tokarev, M., Tomkiel, C. A., Trentalange, S., Tribble, R. E., Tribedy, P., Tripathy, S. K., Tsai, O. D., Tu, Z., Ullrich, T., Underwood, D. G., Upsal, I., Van Buren, G., Vanek, J., Vasiliev, A. N., Vassiliev, I., Videb��k, F., Vokal, S., Voloshin, S. A., Wang, F., Wang, G., Wang, J. S., Wang, P., Wang, Y., Wang, Z., Webb, J. C., Weidenkaff, P. C., Wen, L., Westfall, G. D., Wieman, H., Wissink, S. W., Witt, R., Wu, Y., Xiao, Z. G., Xie, G., Xie, W., Xu, H., Xu, N., Xu, Q. H., Xu, Y. F., Xu, Y., Xu, Z., Yang, C., Yang, Q., Yang, S., Yang, Y., Yang, Z., Ye, Z., Yi, L., Yip, K., Zbroszczyk, H., Zha, W., Zhang, D., Zhang, S., Zhang, X. P., Zhang, Y., Zhang, Z. J., Zhang, Z., Zhao, J., Zhong, C., Zhou, C., Zhu, X., Zhu, Z., Zurek, M., and Zyzak, M.
Subjects: Nuclear and High Energy Physics, Proton, Hadron, FOS: Physical sciences, 01 natural sciences, High Energy Physics - Experiment, Nuclear physics, Pomeron, High Energy Physics - Experiment (hep-ex), Pion, Hadron-Hadron scattering (experiments), 0103 physical sciences, Invariant mass, lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, Nuclear Experiment (nucl-ex), 010306 general physics, Nuclear Experiment, Physics, 010308 nuclear & particles physics, Roman pot, Charged particle, Forward physics, lcsh:QC770-798, High Energy Physics::Experiment, Diffraction, STAR detector
Abstract: We report on the measurement of the Central Exclusive Production of charged particle pairs $h^{+}h^{-}$ ($h = \pi, K, p$) with the STAR detector at RHIC in proton-proton collisions at $\sqrt{s} = 200$ GeV. The charged particle pairs produced in the reaction $pp\to p^\prime+h^{+}h^{-}+p^\prime$ are reconstructed from the tracks in the central detector, while the forward-scattered protons are measured in the Roman Pot system. Differential cross sections are measured in the fiducial region, which roughly corresponds to the square of the four-momentum transfers at the proton vertices in the range $0.04~\mbox{GeV}^2 < -t_1 , -t_2 < 0.2~\mbox{GeV}^2$, invariant masses of the charged particle pairs up to a few GeV and pseudorapidities of the centrally-produced hadrons in the range $|\eta, Comment: Published in Journal of High Energy Physics
Published: 2020

12. First measurement of the CKM angle ϕ 3 with B ± → D( <math> <msubsup> <mi>K</mi> <mi>S</mi> <mn>0</mn> </msubsup> </math> $$ {K}_{\mathrm{S}}^0 $$ π + π − π 0) K ± decays

Author: Resmi, P., Libby, J., Trabelsi, K., Adachi, I., Aihara, H., Al Said, S., Asner, D., Aulchenko, V., Aushev, T., Babu, V., Badhrees, I., Bakich, A., Beleño, C., Bennett, J., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bozek, A., Bračko, M., Campajola, M., Červenkov, D., Chen, A., Cheon, B., Cho, H., Cho, K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Dash, N., Nardo, G., Capua, F., Carlo, S., Doležal, Z., Dong, T., Eidelman, S., Epifanov, D., Fast, J., Ferber, T., Fulsom, B., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Guan, Y., Hayasaka, K., Hayashii, H., Hou, W.S., Huang, K., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W., Jeon, H., Jin, Y., Joffe, D., Kaliyar, A., Kang, K., Karyan, G., Kawasaki, T., Kiesling, C., Kim, D., Kim, K., Kim, S., Kinoshita, K., Kodyš, P., Kotchetkov, D., Krǐzan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, R., Kuzmin, A., Kwon, Y.J., Lee, S., Li, Y., Lieret, K., Liventsev, D., Lu, P.C., Luo, T., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyabayashi, K., Mizuk, R., Mohanty, G., Moon, H., Nakano, T., Nakao, M., Nath, K., Nayak, M., Niiyama, M., Nisar, N., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Pakhlov, P., Pakhlova, G., Pal, B., Pardi, S., Park, H., Pedlar, T., Pestotnik, R., Piilonen, L., Prencipe, E., Prim, M., Ritter, M., Röhrken, M., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Schwartz, A., Seino, Y., Senyo, K., Sevior, M., Shebalin, V., Shen, C., Shiu, J.G., Shwartz, B., Solovieva, E., Starič, M., Stottler, Z., Strube, J., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Uno, S., Usov, Y., Tonder, R., Varner, G., Vinokurova, A., Vorobyev, V., Vossen, A., Wang, B., Wang, C., Wang, M.Z., Wang, X., Watanuki, S., Won, E., Yang, S., Ye, H., Zhang, Z., Zhilich, V., and Zhukova, V.
Abstract: We present the first model-independent measurement of the CKM unitarity triangle angle ϕ 3 using B ± → D( K S 0 $$ {K}_{\mathrm{S}}^0 $$ π + π − π 0) K ± decays, where D indicates either a D 0 or D ¯ $$ \overline{D} $$ 0 meson. Measurements of the strong-phase difference of the D → K S 0 $$ {K}_{\mathrm{S}}^0 $$ π + π − π 0 amplitude obtained from CLEO-c data are used as input. This analysis is based on the full Belle data set of 772 × 106 B B ¯ $$ \overline{B} $$ events collected at the Υ(4S) resonance. We obtain ϕ 3 = ( 5.7 − 8.8 + 10.2 $$ {5.7}_{-8.8}^{+10.2} $$ ±3.5±5.7) ° and the suppressed amplitude ratio r B = 0.323±0.147±0.023±0.051. Here the first uncertainty is statistical, the second is the experimental systematic, and the third is due to the precision of the strong-phase parameters measured from CLEO-c data. The 95% confidence interval on ϕ 3 is (−29.7, 109.5) ° , which is consistent with the current world average.
Published: 2019

13. Evidence of a structure in $$\bar{K}^{0} \Lambda _{c}^{+}$$ <math><mrow><msup><mrow><mover><mrow><mi>K</mi></mrow><mrow><mo>¯</mo></mrow></mover></mrow><mn>0</mn></msup><msubsup><mi>Λ</mi><mrow><mi>c</mi></mrow><mo>+</mo></msubsup></mrow></math> consistent with a charged $$\Xi _c(2930)^{+}$$ <math><mrow><msub><mi>Ξ</mi><mi>c</mi></msub><msup><mrow><mo>(</mo><mn>2930</mn><mo>)</mo></mrow><mo>+</mo></msup></mrow></math> , and updated measurement of $$\bar{B}^{0} \rightarrow \bar{K}^{0} \Lambda _{c}^{+} \bar{\Lambda }_{c}^{-}$$ <math><mrow><msup><mrow><mover><mrow><mi>B</mi></mrow><mrow><mo>¯</mo></mrow></mover></mrow><mn>0</mn></msup><mo>→</mo><msup><mrow><mover><mrow><mi>K</mi></mrow><mrow><mo>¯</mo></mrow></mover></mrow><mn>0</mn></msup><msubsup><mi>Λ</mi><mrow><mi>c</mi></mrow><mo>+</mo></msubsup><msubsup><mover><mrow><mi>Λ</mi></mrow><mrow><mo>¯</mo></mrow></mover><mrow><mi>c</mi></mrow><mo>-</mo></msubsup></mrow></math> at Belle

Author: Li, Y., Shen, C., Adachi, I., Aihara, H., Al Said, S., Asner, D., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bahinipati, S., Ban, Y., Bansal, V., Behera, P., Beleño, C., Bhardwaj, V., Bhuyan, B., Biswal, J., Bobrov, A., Bozek, A., Bračko, M., Browder, T., Cao, L., Červenkov, D., Chang, P., Chekelian, V., Chen, A., Cheon, B., Chilikin, K., Cho, K., Choi, S.K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Dash, N., Carlo, S., Dingfelder, J., Doležal, Z., Dong, T., Drásal, Z., Eidelman, S., Epifanov, D., Fast, J., Fulsom, B., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Gelb, M., Giri, A., Goldenzweig, P., Golob, B., Haba, J., Hayasaka, K., Hirose, S., Hou, W.S., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W., Jaegle, I., Jeon, H., Jia, S., Jin, Y., Joo, K., Kaliyar, A., Kang, K., Kato, Y., Kawasaki, T., Kim, D., Kim, J., Kim, S., Kinoshita, K., Kodyš, P., Korpar, S., Kotchetkov, D., Križan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kwon, Y.J., Lange, J., Lee, I., Lee, S., Li, L., Li Gioi, L., Libby, J., Liventsev, D., Luo, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Moon, H., Mori, T., Mussa, R., Nakano, E., Nanut, T., Nath, K., Natkaniec, Z., Nayak, M., Nisar, N., Nishida, S., Nishimura, K., Ogawa, K., Okuno, S., Ono, H., Pakhlov, P., Pakhlova, G., Pal, B., Pardi, S., Park, H., Paul, S., Pedlar, T., Pestotnik, R., Piilonen, L., Popov, V., Prencipe, E., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M., Shibata, T.A., Shiu, J.G., Solovieva, E., Starič, M., Strube, J., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Usov, Y., Hulse, C., Tonder, R., Varner, G., Varvell, K., Vorobyev, V., Waheed, E., Wang, B., Wang, C., Wang, M.Z., Wang, P., Wang, X., Watanuki, S., Widmann, E., Won, E., Ye, H., Yelton, J., Yin, J., Yuan, C., Yusa, Y., Zhang, Z., Zhilich, V., Zhukova, V., and Zhulanov, V.
Abstract: We report evidence for the charged charmed-strange baryon $$\Xi _{c}(2930)^+$$ Ξc(2930)+ with a signal significance of 3.9$$\sigma $$ σ with systematic errors included. The charged $$\Xi _{c}(2930)^+$$ Ξc(2930)+ is found in its decay to $$K_{S}^{0} \Lambda _{c}^+$$ KS0Λc+ in the substructure of $$\bar{B}^{0} \rightarrow K^{0}_{S} \Lambda _{c}^{+} \bar{\Lambda }_{c}^{-}$$ B¯0→KS0Λc+Λ¯c- decays. The measured mass and width are $$[2942.3 \pm 4.4 ({\mathrm{stat.}}) \pm {1.5}({\mathrm{syst.}})]$$ [2942.3±4.4(stat.)±1.5(syst.)] MeV/$$c^{2}$$ c2 and $$[14.8 \pm 8.8({\mathrm{stat.}}) \pm {2.5}({\mathrm{syst.}})]$$ [14.8±8.8(stat.)±2.5(syst.)] MeV, respectively, and the product branching fraction is $$\mathcal{B}(\bar{B}^{0} \rightarrow \Xi _c(2930)^{+} \bar{\Lambda }_{c}^{-}) \mathcal{B}(\Xi _c(2930)^{+}\rightarrow \bar{K}^{0} \Lambda _{c}^{+})=[2.37 \pm 0.51 ({\mathrm{stat.}})\pm 0.31({\mathrm{syst.}})]\times 10^{-4}$$ B(B¯0→Ξc(2930)+Λ¯c-)B(Ξc(2930)+→K¯0Λc+)=[2.37±0.51(stat.)±0.31(syst.)]×10-4 . We also measure $$\mathcal{B}(\bar{B}^{0} \rightarrow \bar{K}^{0} \Lambda _{c}^{+} \bar{\Lambda }_{c}^{-}) = [3.99 \pm 0.76({\mathrm{stat.}}) \pm 0.51({\mathrm{syst.}})] \times 10^{-4}$$ B(B¯0→K¯0Λc+Λ¯c-)=[3.99±0.76(stat.)±0.51(syst.)]×10-4 with greater precision than previous experiments, and present the results of a search for the charmonium-like state Y(4660) and its spin partner, $$Y_{\eta }$$ Yη , in the $$\Lambda _{c}^{+}\bar{\Lambda }_{c}^{-}$$ Λc+Λ¯c- invariant mass spectrum. No clear signals of the Y(4660) or $$Y_{\eta }$$ Yη are observed and the 90% credibility level (C.L.) upper limits on their production rates are determined. These measurements are obtained from a sample of $$(772\pm 11)\times 10^{6} B\bar{B}$$ (772±11)×106BB¯ pairs collected at the $$\Upsilon (4S)$$ Υ(4S) resonance by the Belle detector at the KEKB asymmetric energy electron-positron collider.
Published: 2018

14. Inclusive study of bottomonium production in association with an $$\eta $$ <math><mi>η</mi></math> meson in $$e^+e^-$$ <math><mrow><msup><mi>e</mi><mo>+</mo></msup><msup><mi>e</mi><mo>-</mo></msup></mrow></math> annihilations near $$\varUpsilon (5S)$$ <math><mrow><mi>Υ</mi><mo>(</mo><mn>5</mn><mi>S</mi><mo>)</mo></mrow></math>

Author: Tamponi, U., Guido, E., Mussa, R., Adachi, I., Aihara, H., Said, S., Asner, D., Atmacan, H., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bakich, A., Bansal, V., Barberio, E., Behera, P., Berger, M., Bhardwaj, V., Bhuyan, B., Biswal, J., Bondar, A., Bozek, A., Bračko, M., Browder, T., Červenkov, D., Chen, A., Cheon, B., Chilikin, K., Cho, K., Choi, Y., Cinabro, D., Cunliffe, S., Czank, T., Dash, N., Carlo, S., Doležal, Z., Drásal, Z., Eidelman, S., Epifanov, D., Fast, J., Ferber, T., Fulsom, B., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Gelb, M., Goldenzweig, P., Haba, J., Hara, T., Hayasaka, K., Hayashii, H., Hedges, M., Hou, W.S., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jaegle, I., Jeon, H., Jin, Y., Joo, K., Julius, T., Kang, K., Kawasaki, T., Kichimi, H., Kim, D., Kim, H., Kim, J., Kim, K., Kim, S., Kinoshita, K., Kodyš, P., Korpar, S., Kotchetkov, D., Križan, P., Kroeger, R., Krokovny, P., Kulasiri, R., Kwon, Y.J., Lee, I., Lee, S., Li, L., Li, Y., Gioi, L., Libby, J., Liventsev, D., Luo, T., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Mohanty, G., Moon, H., Mori, T., Nanut, T., Nath, K., Natkaniec, Z., Nayak, M., Nisar, N., Nishida, S., Okuno, S., Ono, H., Onuki, Y., Pakhlov, P., Pakhlova, G., Pal, B., Park, H., Paul, S., Pedlar, T., Pestotnik, R., Piilonen, L., Ritter, M., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M., Shebalin, V., Shen, C., Shibata, T.A., Shimizu, N., Shiu, J.G., Shwartz, B., Sokolov, A., Solovieva, E., Starič, M., Strube, J., Sumiyoshi, T., Takizawa, M., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uehara, S., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Hulse, C., Varner, G., Vinokurova, A., Vorobyev, V., Vossen, A., Wang, B., Wang, C., Wang, M.Z., Wang, P., Wang, X., Watanabe, M., Watanabe, Y., Widmann, E., Won, E., Ye, H., Yuan, C., Yusa, Y., Zakharov, S., Zhang, Z., Zhilich, V., Zhukova, V., Zhulanov, V., and Zupanc, A.
Abstract: We study bottomonium production in association with an $$\eta $$ η meson in $$e^+e^-$$ e+e- annihilations near the $$\varUpsilon (5S)$$ Υ(5S) , at a centre-of-mass energy of $$\sqrt{s}=10.866$$ s=10.866 GeV. The results are based on the 121.4 fb$$^{-1}$$ -1 data sample collected by the Belle experiment at the asymmetric-energy KEKB collider. Only the $$\eta $$ η meson is reconstructed and the missing-mass spectrum of $$\eta $$ η candidates is investigated. We observe the $$e^+e^-\rightarrow \eta \varUpsilon _J(1D)$$ e+e-→ηΥJ(1D) process and find evidence for the $$e^+e^-\rightarrow \eta \varUpsilon (2S)$$ e+e-→ηΥ(2S) process, while no significant signals of $$\varUpsilon (1S)$$ Υ(1S) , $$h_b(1P)$$ hb(1P) , nor $$h_b(2P)$$ hb(2P) are found. Cross sections for the studied processes are reported.
Published: 2018

15. Evidence of charged $\Xi_{c}(2930)$ and updated measurement of $B^{0} \to K^{0} \Lambda_{c}^{+} \bar{\Lambda}_{c}^{-}$ at Belle

Author: Li, Y. B., Shen, C. P., Bahinipati, S., Mussa, R., Nakano, E., Nanut, T., Nath, K. J., Natkaniec, Z., Nayak, M., Nisar, N. K., Nishida, S., Nishimura, K., Ogawa, K., Ban, Y., Okuno, S., Ono, H., Pakhlov, P., Pakhlova, G., Pal, B., Pardi, S., Park, H., Paul, S., Pedlar, T. K., Pestotnik, R., Bansal, V., Piilonen, L. E., Popov, V., Prencipe, E., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Santelj, L., Sanuki, T., Behera, P., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M. E., Shibata, T.-A., Shiu, J.-G., Beleño, C., Solovieva, E., Starič, M., Strube, J. F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Bhardwaj, V., Uglov, T., Unno, Y., Uno, S., Usov, Y., Van Hulse, C., Van Tonder, R., Varner, G., Varvell, K. E., Vorobyev, V., Waheed, E., Bhuyan, B., Wang, B., Wang, C. H., Wang, M.-Z., Wang, P., Wang, X. L., Watanuki, S., Widmann, E., Won, E., Ye, H., Yelton, J., Biswal, J., Yin, J. H., Yuan, C. Z., Yusa, Y., Zhang, Z. P., Zhilich, V., Zhukova, V., Zhulanov, V., Belle Collaboration, Bobrov, A., Bozek, A., Adachi, I., Bračko, M., Browder, T. E., Cao, L., Červenkov, D., Chang, P., Chekelian, V., Chen, A., Cheon, B. G., Chilikin, K., Cho, K., Aihara, H., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Dash, N., Di Carlo, S., Dingfelder, J., Doležal, Z., Dong, T. V., Al Said, S., Drásal, Z., Eidelman, S., Epifanov, D., Fast, J. E., Fulsom, B. G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Gelb, M., Asner, D. M., Giri, A., Goldenzweig, P., Golob, B., Haba, J., Hayasaka, K., Hirose, S., Hou, W.-S., Iijima, T., Inami, K., Inguglia, G., Aushev, T., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jaegle, I., Jeon, H. B., Jia, S., Jin, Y., Joo, K. K., Ayad, R., Kaliyar, A. B., Kang, K. H., Kato, Y., Kawasaki, T., Kim, D. Y., Kim, J. B., Kim, S. H., Kinoshita, K., Kodyš, P., Korpar, S., Babu, V., Kotchetkov, D., Križan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kwon, Y.-J., Lange, J. S., Lee, I. S., Lee, S. C., Li, L. K., Badhrees, I., Li Gioi, L., Libby, J., Liventsev, D., Luo, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Moon, H. K., and Mori, T.
Subjects: asymmetry [energy], BELLE, annihilation [electron positron], electroproduction [Xi/c(2930)], spin, width [mass], branching ratio [Y(4660)], KEK-B, (Lambda/c+ Antilambda/c+) [mass spectrum], branching ratio: measured [B0], mass: measured [Xi/c(2930)], branching ratio [Xi/c(2930)], ddc:530, structure, Nuclear Experiment, +K0%28S%29+Lambda%2Fc%2B%22">Xi/c(2930) --> K0(S) Lambda/c+, +K0%28S%29+Lambda%2Fc%2B+Antilambda%2Fc%2B%22">B0 --> K0(S) Lambda/c+ Antilambda/c+, hadronic decay [Xi/c(2930)], energy [electron positron], pair production [B], baryon, electroproduction [Upsilon(10570)], colliding beams [electron positron], upper limit [branching ratio], High Energy Physics::Experiment, experimental results
Abstract: We report evidence for the charged charmed-strange baryon $\Xi_{c}(2930)$ with a signal significance of 3.9$\sigma$. The charged $\Xi_{c}(2930)$ is found in its decay to $K_{S}^{0} \Lambda_{c}$ in the substructure of $B^{0} \to K^{0}_{S} \Lambda_{c}^{+} \bar{\Lambda}_{c}^{-}$ decays. The measured mass and width are $[2942.3 \pm 4.4 (\rm stat.) \pm 1.6(\rm syst.)]$~MeV/$c^{2}$ and $[14.8 \pm 8.8(\rm stat.) \pm 7.1(\rm syst.)]$~MeV, respectively, and the product branching fraction is ${\cal B}(B^{0} \to \Xi_{c}^{+}(2930) \bar{\Lambda}_{c}^{-}) {\cal B}(\Xi_{c}^{+}(2930)\to K^{0} \Lambda_{c}^{+})=[2.28 \pm 0.49(\rm stat.) \pm 0.29(\rm syst.)]\times 10^{-4}$. We also measure ${\cal B}(B^{0} \to K^{0} \Lambda_{c}^{+} \bar{\Lambda}_{c}^{-}) = [3.84 \pm 0.73(\rm stat.) \pm 0.48(\rm syst.)] \times 10^{-4}$ with greater precision than previous experiments, and present the results of a search for the charmonium-like state $Y(4660)$ and its spin partner, $Y_{\eta}$, in the $\Lambda_{c}^{+}\bar{\Lambda}_{c}^{-}$ invariant mass spectrum. No clear signals of the $Y(4660)$ or $Y_{\eta}$ are observed and the 90\% credibility level (C.L.) upper limits on their production rates are determined. These measurements are obtained from a sample of $(772\pm11)\times 10^{6} B\bar{B}$ pairs collected at the $\Upsilon(4S)$ resonance by the Belle detector at the KEKB asymmetric energy electron-positron collider.
Published: 2018
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16. Search for B decays to final states with the eta(c) meson

Author: Center for Neutrino Physics, Vinokurova, A., Kuzmin, A., Eidelman, S., Abdesselam, A., Adachi, I., Aihara, H., Arinstein, K., Asner, D. M., Aushev, T., Ayad, R., Bakich, A. M., Bansal, V., Bhardwaj, V., Bhuyan, B., Bobrov, A., Bondar, A., Bozek, A., Bracko, M., Browder, T. E., Chekelian, V., Cheon, B. G., Chilikin, K., Chistov, R., Cho, K., Choi, S-K., Choi, Y., Cinabro, D., Dingfelder, J., Dolezal, Z., Drasal, Z., Drutskoy, A., Dutta, D., Epifanov, D., Farhat, H., Fast, J. E., Ferber, T., Gaur, V., Gabyshev, N., Garmash, A., Gillard, R., Goh, Y. M., Golob, B., Haba, J., Hayasaka, K., Hayashii, H., He, X. H., Hou, W-S, Inami, K., Ishikawa, A., Itoh, R., Iwasaki, Y., Joffe, D., Julius, T., Kang, K. H., Kato, E., Kiesling, C., Kim, D. Y., Kim, H. J., Kim, J. H., Kim, K. T., Kim, M. J., Kim, S. H., Kim, Y. J., Kinoshita, K., Ko, B. R., Kodys, P., Korpar, S., Krizan, P., Krokovny, P., Kuhr, T., Kumita, T., Kwon, Y-J., Lange, J. S., Gioi, L. Li, Libby, J., Liventsev, D., Lukin, P., Matvienko, D., Miyabayashi, K., Miyake, H., Miyata, H., Mohanty, G. B., Moll, A., Mori, T., Mussa, R., Nakano, E., Nakao, M., Natkaniec, Z., Ng, C., Nisar, N. K., Nishida, S., Ogawa, S., Okuno, S., Olsen, S. L., Pakhlov, P., Pakhlova, G., Park, C. W., Park, H., Pedlar, T. K., Pestotnik, R., Petric, M., Piilonen, Leo E., Ribezl, E., Ritter, M., Rostomyan, A., Sakai, Y., Sandilya, S., Santel, D., Santelj, L., Sanuki, T., Sato, Y., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Semmler, D., Senyo, K., Seon, O., Sevior, M. E., Shebalin, V., Shen, C. P., Shibata, T. A., Shiu, J-G., Shwartz, B., Sibidanov, A., Simon, F., Sohn, Y. -S., Sokolov, A., Solovieva, E., Stanic, S., Staric, M., Steder, M., Sumihama, M., Sumiyoshi, T., Tamponi, U., Tatishvili, G., Teramoto, Y., Uchida, M., Uglov, T., Unno, Y., Uno, S., Van Hulse, C., Vanhoefer, P., Varner, G., Vorobyev, V., Wagner, M. N., Wang, C. H., Wang, M-Z., Wang, P., Watanabe, Y., Williams, K. M., Won, E., Yamaoka, J., Yashchenko, S., Yook, Y., Zhang, Z. P., Zhulanov, V., Zupanc, A., Center for Neutrino Physics, Vinokurova, A., Kuzmin, A., Eidelman, S., Abdesselam, A., Adachi, I., Aihara, H., Arinstein, K., Asner, D. M., Aushev, T., Ayad, R., Bakich, A. M., Bansal, V., Bhardwaj, V., Bhuyan, B., Bobrov, A., Bondar, A., Bozek, A., Bracko, M., Browder, T. E., Chekelian, V., Cheon, B. G., Chilikin, K., Chistov, R., Cho, K., Choi, S-K., Choi, Y., Cinabro, D., Dingfelder, J., Dolezal, Z., Drasal, Z., Drutskoy, A., Dutta, D., Epifanov, D., Farhat, H., Fast, J. E., Ferber, T., Gaur, V., Gabyshev, N., Garmash, A., Gillard, R., Goh, Y. M., Golob, B., Haba, J., Hayasaka, K., Hayashii, H., He, X. H., Hou, W-S, Inami, K., Ishikawa, A., Itoh, R., Iwasaki, Y., Joffe, D., Julius, T., Kang, K. H., Kato, E., Kiesling, C., Kim, D. Y., Kim, H. J., Kim, J. H., Kim, K. T., Kim, M. J., Kim, S. H., Kim, Y. J., Kinoshita, K., Ko, B. R., Kodys, P., Korpar, S., Krizan, P., Krokovny, P., Kuhr, T., Kumita, T., Kwon, Y-J., Lange, J. S., Gioi, L. Li, Libby, J., Liventsev, D., Lukin, P., Matvienko, D., Miyabayashi, K., Miyake, H., Miyata, H., Mohanty, G. B., Moll, A., Mori, T., Mussa, R., Nakano, E., Nakao, M., Natkaniec, Z., Ng, C., Nisar, N. K., Nishida, S., Ogawa, S., Okuno, S., Olsen, S. L., Pakhlov, P., Pakhlova, G., Park, C. W., Park, H., Pedlar, T. K., Pestotnik, R., Petric, M., Piilonen, Leo E., Ribezl, E., Ritter, M., Rostomyan, A., Sakai, Y., Sandilya, S., Santel, D., Santelj, L., Sanuki, T., Sato, Y., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Semmler, D., Senyo, K., Seon, O., Sevior, M. E., Shebalin, V., Shen, C. P., Shibata, T. A., Shiu, J-G., Shwartz, B., Sibidanov, A., Simon, F., Sohn, Y. -S., Sokolov, A., Solovieva, E., Stanic, S., Staric, M., Steder, M., Sumihama, M., Sumiyoshi, T., Tamponi, U., Tatishvili, G., Teramoto, Y., Uchida, M., Uglov, T., Unno, Y., Uno, S., Van Hulse, C., Vanhoefer, P., Varner, G., Vorobyev, V., Wagner, M. N., Wang, C. H., Wang, M-Z., Wang, P., Watanabe, Y., Williams, K. M., Won, E., Yamaoka, J., Yashchenko, S., Yook, Y., Zhang, Z. P., Zhulanov, V., and Zupanc, A.
Abstract: We report a search for B decays to selected final states with the eta (c) meson: B (+/-) -> K (+/-) eta (c) pi (+) pi (-), B-+/- -> K-+/-eta(c)pi(+)pi(-), B-+/- -> K-+/-eta(c)eta and B-+/- -> K-+/-eta(c)pi(0). The analysis is based on 772 x 10(6) B (B) over bar pairs collected at the gamma(4S) resonance with the Belle detector at the KEKB asymmetric-energy e (+)e (-) collider. We set 90% confidence level upper limits on the branching fractions of the studied B decay modes, independent of intermediate resonances, in the range (0.6-5.3) x 10(-4). We also search for molecular-state candidates in the D-0 (D) over bar*(0) - (D) over bar (0) D*(0), D-0 (D) over bar (0) + (D) over bar (0) D-0 and D*(0) (D) over bar*(0) + D*(0) (D) over bar*(0) D*(0) combinations, neutral partners of the Z(3900)(+/-) and Z(4020)(+/-), and a poorly understood state X(3915) as possible intermediate states in the decay chain, and set 90% confidence level upper limits on the product of branching fractions to the mentioned intermediate states and decay branching fractions of these states in the range (0.6-6.9) x 10(-5).
Published: 2015

17. Shear-banding instabilities

Author: Dhont, J.K.G., Kang, K., Lettinga, M.P., and Briels, W.J.
Subjects: Condensed Matter::Soft Condensed Matter, gradient banding, vorticity banding, ddc:530, shear banding, shear instabilities
Abstract: Gradient-banding and vorticity-banding instabilities, as well as a shear-induced instability due to shear-gradient induced mass transport will be discussed. Various scenarios that underly these instabilities are addressed and simple constitutive relations that allow for a (semi-) quantitative analysis are proposed. A relatively simple constitutive equation that has been proposed some time ago is reviewed, which captures a number of the experimentally observed gradient-banding phenomena. This constitutive equation is based on the usual formal expansion of the stress tensor with respect to gradients in the flow velocity, but now including the second order term. The second order term is necessary to describe the relatively large spatial gradients within the interface between the two bands. The resulting simple constitutive equation is shown to give rise to stationary gradient-banded states, where the shear rates within the bands are constant, it describes stress selection under controlled rate conditions and explains why banding can not occur under controlled stress conditions. The simple constitutive equation does not include coupling to concentration, which may give rise to banding also under controlled stress conditions. Two examples of mechanisms that lead to the strong shear thinning that is necessary for gradient banding are discussed: (i) transient forces due to entanglements in polymer systems, and (ii) critical slowing down. The latter mechanism is shown to be important for a worm-like micellar system. The mechanism that leads to vorticity banding is still under debate. Vorticity banding of fd-virus suspensions within the two-phase isotropic-nematic coexistence will be discussed. Experiments on the kinetics of banding and particle-tracking experiments lead to a recently proposed mechanism for the vorticity-banding instability, where the instability is identified as an elastic instability similar to the polymer-Weissenberg effect. The role of polymer chains in the classic Weissenberg effect is now played by inhomogeneities formed during the initial stages of phase separation. For other systems than fd-virus suspensions that exhibit vorticity banding, the inhomogeneities general have a different origin, like in weakly aggregated colloids and worm-like micellar systems where the inhomogeneities are the colloidal aggregates and the worms, respectively. An instability that has been discovered some time ago, which is an instability due to shear-gradient induced mass transport is also discussed. The coupling between shear-gradients and mass transport has been formally introduced through a shear-rate dependent chemical potential, of which the microscopic origin was not explained. It will be shown that the microscopic origin of this coupling is related to the shear-induced distortion of the pair-correlation function. Contrary to the stationary gradient-banded and vorticity-banded state, it is not yet known what the stationary state is when this shear-concentration-coupling instability occurs.
Published: 2010

18. The language game

Author: Danylak, R, Kang, K, Danylak, R, and Kang, K
Abstract: With rise of the computer since the 1950's there has been a constant evolution for ways to further enable calculating capacities. It is ironic, that a machine derived with such thoughtful and sophisticated process mathematically, has found a key and increasingly dominant expression in games, which has a reputation for a lack of seriousness. Games continue to rise as a very popular form of interaction. The paper examines the notion of language as a game to partly explain the phenomenon. The paper reflects upon the philosophical writings of Wittgenstein who proposed that language is a game. In addition semiotic analysis, a linguistic meta-tool, will be applied to a game with the aim of shedding light on the usefulness of semiotics in user interaction design. © 2014 Springer International Publishing Switzerland.
Published: 2014

19. Test of lepton flavor universality and search for lepton flavor violation in B -> Kll decays

Author: Li, Y., Li, Y. B., Shen, C. P., Adachi, I., Aihara, H., Asner, D. M., Atmacan, H., Aulchenko, V., Ayad, R., Babu, V., Badhrees, I., Bakich, A. M., Behera, P., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bracko, M., Browder, T. E., Campajola, M., Cao, L., Cervenkov, D., Chang, P., Chen, A., Cheon, B. G., Chilikin, K., Cho, H. E., Cho, K., Choi, S. -K., Choi, Y., Cinabro, D., Cunliffe, S., De Nardo, G., Di Capua, F., Di Carlo, S., Dolezal, Z., Dong, T. V., Eidelman, S., Fast, J. E., Ferber, T., Ferlewicz, D., Fulsom, B. G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grube, B., Hara, T., Hayasaka, K., Hayashii, H., Hou, W. -S., Hsu, C. -L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jia, S., Jin, Y., Joo, K. K., Kang, K. H., Karyan, G., Kichimi, H., Kim, C. H., Kim, D. Y., Kim, S. H., Kinoshita, K., Kodys, P., Korpar, S., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kuzmin, A., Kwon, Y. -J., Lalwani, K., Lange, J. S., Lee, I. S., Lee, S. C., Lewis, P., Li, C. H., Li, L. K., Gioi, L. Li, Libby, J., Lieret, K., Liventsev, D., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Mussa, R., Nakao, M., Nath, K. J., Nayak, M., Niiyama, M., Nisar, N. K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, H., Park, S. -H., Patra, S., Paul, S., Pedlar, T. K., Pestotnik, R., Piilonen, L. E., Podobnik, T., Popov, V., Prencipe, E., Prim, M. T., Roehrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Santelj, L., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M. E., Shiu, J. -G., Shwartz, B., Sokolov, A., Solovieva, E., Stanic, S., Staric, M., Stottler, Z. S., Sumihama, M., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Van Tonder, R., Varner, G., Vinokurova, A., Wang, C. H., Wang, M. -Z., Wang, X. L., Watanabe, M., Won, E., Yang, S. B., Ye, H., Yelton, J., Yin, J. H., Yuan, C. Z., Zhang, Z. P., Zhilich, V., Zhukova, V., and Zhulanov, V.
Subjects: flavour changing neutral currents, flavor physics, fcnc interaction, e(+)-e(-) experiments, b physics
Abstract: We present measurements of the branching fractions for the decays B -> K mu(+)mu(-) and B -> Ke(+)e(-), and their ratio (R-K), using a data sample of 711 fb(-1) that contains 772 x 10(6) B (B) over bar events. The data were collected at the Gamma(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider. The ratio RK is measured in five bins of dilepton invariant-mass-squared (q(2)): q(2) is an element of (0.1, 4.0), (4.00, 8.12), (1.0, 6.0), (10.2, 12.8) and (> 14.18) GeV2/c(4), along with the whole q(2) region. The R-K value for q(2) is an element of (1.0, 6.0) GeV2/c(4) is 1.03(-0.24)(+0.28) +/- 0.01. The first and second uncertainties listed are statistical and systematic, respectively. All results for R-K are consistent with Standard Model predictions. We also measure CP-averaged isospin asymmetries in the same q(2) bins. The results are consistent with a null asymmetry, with the largest difference of 2.6 standard deviations occurring for the q(2) is an element of (1.0, 6.0) GeV2/c(4) bin in the mode with muon final states. The measured differential branching fractions, dB/dq(2), are consistent with theoretical predictions for charged B decays, while the corresponding values are below the expectations for neutral B decays. We have also searched for lepton-flavor-violating B -> K mu(+/-)e(-/+) decays and set 90% confidence-level upper limits on the branching fraction in the range of 10(-8) for B+ -> K+ mu(+/-)e(-/+), and B-0 -> K-0 mu(+/-) e(-/+) modes.

20. First measurement of the CKM angle phi(3) with B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays

Author: Li, Y., Li, Y. B., Shen, C. P., Adachi, I., Aihara, H., Asner, D. M., Atmacan, H., Aulchenko, V., Ayad, R., Babu, V., Badhrees, I., Bakich, A. M., Behera, P., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bracko, M., Browder, T. E., Campajola, M., Cao, L., Cervenkov, D., Chang, P., Chen, A., Cheon, B. G., Chilikin, K., Cho, H. E., Cho, K., Choi, S. -K., Choi, Y., Cinabro, D., Cunliffe, S., De Nardo, G., Di Capua, F., Di Carlo, S., Dolezal, Z., Dong, T. V., Eidelman, S., Fast, J. E., Ferber, T., Ferlewicz, D., Fulsom, B. G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grube, B., Hara, T., Hayasaka, K., Hayashii, H., Hou, W. -S., Hsu, C. -L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jia, S., Jin, Y., Joo, K. K., Kang, K. H., Karyan, G., Kichimi, H., Kim, C. H., Kim, D. Y., Kim, S. H., Kinoshita, K., Kodys, P., Korpar, S., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kuzmin, A., Kwon, Y. -J., Lalwani, K., Lange, J. S., Lee, I. S., Lee, S. C., Lewis, P., Li, C. H., Li, L. K., Gioi, L. Li, Libby, J., Lieret, K., Liventsev, D., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Mussa, R., Nakao, M., Nath, K. J., Nayak, M., Niiyama, M., Nisar, N. K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, H., Park, S. -H., Patra, S., Paul, S., Pedlar, T. K., Pestotnik, R., Piilonen, L. E., Podobnik, T., Popov, V., Prencipe, E., Prim, M. T., Roehrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Santelj, L., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M. E., Shiu, J. -G., Shwartz, B., Sokolov, A., Solovieva, E., Stanic, S., Staric, M., Stottler, Z. S., Sumihama, M., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Van Tonder, R., Varner, G., Vinokurova, A., Wang, C. H., Wang, M. -Z., Wang, X. L., Watanabe, M., Won, E., Yang, S. B., Ye, H., Yelton, J., Yin, J. H., Yuan, C. Z., Zhang, Z. P., Zhilich, V., Zhukova, V., and Zhulanov, V.
Subjects: cp-violation, e plus -e- experiments, ckm angle gamma, flavor physics, b physics, cp violation
Abstract: We present the first model-independent measurement of the CKM unitarity triangle angle phi(3) using B-+/--> D(K-S(0)pi(+)pi(-)pi(0)) K-+/- decays, where D indicates either a D-0 or (D) over bar (0) meson. Measurements of the strong-phase difference of the D -> K-S(0)pi(+)pi(-)pi(0) amplitude obtained from CLEO-c data are used as input. This analysis is based on the full Belle data set of 772 x 10(6)B (B) over bar events collected at the gamma(4S) resonance. We obtain phi(3) = (5.7(-8.8)(+10.2)+/- 3.5 +/- 5.7)(degrees) and the suppressed amplitude ratio r(B) = 0.323 +/- 0.147 +/- 0.023 +/- 0.051. Here the first uncertainty is statistical, the second is the experimental systematic, and the third is due to the precision of the strong-phase parameters measured from CLEO-c data. The 95% confidence interval on phi(3) is (-29.7, 109.5)(degrees), which is consistent with the current world average.

21. Evidence of a structure in (K)over-bar(0)Lambda(+)(c) consistent with a charged Xi(c)(2930)(+), and updated measurement of (B)over-bar(0) -> (K)over-bar(0)Lambda(+)(c) (Lambda)over-bar(c)(-) at Belle

Author: Li, Y. B., Shen, C. P., Adachi, I., Aihara, H., Al Said, S., Asner, D. M., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bahinipati, S., Ban, Y., Bansal, V., Behera, P., Beleno, C., Bhardwaj, V., Bhuyan, B., Biswal, J., Bobrov, A., Bozek, A., Bracko, M., Browder, T. E., Cao, L., Cervenkov, D., Chang, P., Chekelian, V., Chen, A., Cheon, B. G., Chilikin, K., Cho, K., Choi, S. -K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Dash, N., Di Carlo, S., Dingfelder, J., Dolezal, Z., Dong, T. V., Drasal, Z., Eidelman, S., Epifanov, D., Fast, J. E., Fulsom, B. G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Gelb, M., Giri, A., Goldenzweig, P., Golob, B., Haba, J., Hayasaka, K., Hirose, S., Hou, W. -S., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jaegle, I., Jeon, H. B., Jia, S., Jin, Y., Joo, K. K., Kaliyar, A. B., Kang, K. H., Kato, Y., Kawasaki, T., Kim, D. Y., Kim, J. B., Kim, S. H., Kinoshita, K., Kodys, P., Korpar, S., Kotchetkov, D., Krizan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kwon, Y. -J., Lange, J. S., Lee, I. S., Lee, S. C., Li, L. K., Li Gioi, L., Libby, J., Liventsev, D., Luo, T., Matvienko, D., Merola, M., Miyata, H., Mizuk, R., Moon, H. K., Mori, T., Mussa, R., Nakano, E., Nanut, T., Nath, K. J., Natkaniec, Z., Nayak, M., Nisar, N. K., Nishida, S., Nishimura, K., Ogawa, K., Okuno, S., Ono, H., Pakhlov, P., Pakhlova, G., Pal, B., Pardi, S., Park, H., Paul, S., Pedlar, T. K., Pestotnik, R., Piilonen, L. E., Popov, V., Prencipe, E., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M. E., Shibata, T. -A., Shiu, J. -G., Solovieva, E., Staric, M., Strube, J. F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Usov, Y., Van Hulse, C., Van Tonder, R., Varner, G., Varvell, K. E., Vorobyev, V., Waheed, E., Wang, B., Wang, C. H., Wang, M. -Z., Wang, P., Wang, X. L., Watanuki, S., Widmann, E., Won, E., Ye, H., Yelton, J., Yin, J. H., Yuan, C. Z., Yusa, Y., Zhang, Z. P., Zhilich, V., Zhukova, V., and Zhulanov, V.
Subjects: diquark picture, High Energy Physics::Experiment, package, Nuclear Experiment, baryons
Abstract: We report evidence for the charged charmed-strange baryon Xi(c)(2930)(+) with a signal significance of 3.9 sigma with systematic errors included. The charged Xi(c)(2930)(+) is found in its decay to K-S(0)Lambda(+)(c) in the substructure of (B) over bar (0) -> K-S(0)Lambda(+)(c)(Lambda) over bar (-)(c) decays. The measured mass and width are [2942.3 +/- 4.4(stat.) +/- 1.5(syst.)] MeV/c(2) and [14.8 +/- 8.8(stat.) +/- 2.5(syst.)] MeV, respectively, and the product branching fraction is B((B) over bar (0) -> Xi(c)(2930)(+)(Lambda) over bar (-)(c)) B(Xi(c)(2930)(+) -> (K) over bar (0)(S)Lambda(+)(c)) = [2.37 +/- 0.51(stat.) +/- 0.31 (syst.)] x 10(-4). We also measure B((B) over bar (0) -> (K) over bar (0)(S)Lambda(+)(c)(Lambda) over bar (-)(c)) = [3.99 +/- 0.76(stat.) +/- 0.51(syst.)] x 10(-4) with greater precision than previous experiments, and present the results of a search for the charmonium-like state Y (4660) and its spin partner, Y-eta, in the Lambda(+)(c)(Lambda) over bar (-)(c) invariant mass spectrum. No clear signals of the Y (4660) or Y-eta are observed and the 90% credibility level (C.L.) upper limits on their production rates are determined. Thesemeasurements are obtained from a sample of (772 +/- 11) x 10(6) B (B) over bar pairs collected at the Upsilon(4S) resonance by the Belle detector at the KEKB asymmetric energy electron-positron collider.

22. Observation of a new structure near 10.75 GeV in the energy dependence of the e(+)e(-)-> Upsilon (nS)pi(+)pi(-) (n=1, 2, 3) cross sections

Author: Mizuk, R., Bondar, A., Adachi, I, Aihara, H., Asner, D. M., Aulchenko, V, Aushev, T., Ayad, R., Badhrees, I, Bahinipati, S., Bakich, A. M., Behera, P., Beleno, C., Berger, M., Bhardwaj, V, Bilka, T., Biswal, J., Bozek, A., Bracko, M., Browder, T. E., Campajola, M., Cao, L., Cervenkov, D., Chen, A., Cheon, B. G., Chilikin, K., Cho, H. E., Cho, K., Choi, S-K, Choi, Y., Cinabro, D., Cunliffe, S., Dash, N., De Nardo, G., Di Capua, F., Di Carlo, S., Dolezal, Z., Dong, T. V., Eidelman, S., Epifanov, D., Fast, J. E., Ferber, T., Fulsom, B. G., Gaur, V, Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grzymkowska, O., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hou, W-S, Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W. W., Jin, Y., Joffe, D., Joo, K. K., Kang, K. H., Karyan, G., Kawasaki, T., Kichimi, H., Kim, D. Y., Kim, H. J., Kim, K. T., Kim, S. H., Kinoshita, K., Kodys, P., Korpar, S., Kotchetkov, D., Krizan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, R., Kuzmin, A., Lange, J. S., Lee, J. Y., Lee, S. C., Li, L. K., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Luo, T., MacNaughton, J., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyata, H., Mohanty, G. B., Mori, T., Mussa, R., Nakano, T., Nakao, M., Nath, K. J., Natkaniec, Z., Nayak, M., Niiyama, M., Nisar, N. K., Nishida, S., Nishimura, K., Ogawa, S., Olsen, S. L., Ono, H., Onuki, Y., Oskin, P., Ostrowicz, W., Pakhlov, P., Pakhlova, G., Pal, B., Pang, T., Pardi, S., Park, S-H, Paul, S., Pedlar, T. K., Pestotnik, R., Piilonen, L. E., Popov, V, Prencipe, E., Ritter, M., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Sanuki, T., Savinov, V, Schneider, O., Schnell, G., Schueler, J., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M. E., Shebalin, V, Shen, C. P., Shiu, J-G, Shwartz, B., Sokolov, A., Solovieva, E., Staric, M., Strube, J. F., Sumihama, M., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Trabelsi, K., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Usov, Y., Vahsen, S. E., Van Tonder, R., Varner, G., Vinokurova, A., Wang, B., Wang, C. H., Wang, M-Z, Wang, P., Won, E., Yang, S. B., Ye, H., Yuan, C. Z., Yusa, Y., Zhang, Z. P., Zhilich, V, and Zhukova, V
Subjects: spectroscopy, e plus -e- experiments, radiative-corrections, quarkonium
Abstract: We report a new measurement of the e(+)e(-)-> Upsilon(nS)pi(+)pi(-) (n = 1, 2, 3) cross sections at energies from 10.52 to 11.02 GeV using data collected with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider. We observe a new structure in the energy dependence of the cross sections; if described by a Breit-Wigner function its mass and width are found to be M= open="(10752.7 +/- 5.9-1.1+0.7 MeV/c2 and Gamma)" open (">35.5-11.3 0.5em -3.3+17.6+3.9 MeV, where the first error is statistical and the second is systematic. The global significance of the new structure including systematic uncertainty is 5.2 standard deviations. We also find evidence for the e(+)e(-)-> Upsilon (1S)pi(+)pi(-) process at the energy 10.52 GeV, which is below the B (B) over bar threshold.

23. Porous Organic Cage-Based Quasi-Solid-State Electrolyte with Cavity-Induced Anion-Trapping Effect for Long-Life Lithium Metal Batteries.

Author: Qin WM, Li Z, Su WX, Hu JM, Zou H, Wu Z, Ruan Z, Cai YP, Li K, and Zheng Q
Abstract: Porous organic cages (POCs) with permanent porosity and excellent host-guest property hold great potentials in regulating ion transport behavior, yet their feasibility as solid-state electrolytes has never been testified in a practical battery. Herein, we design and fabricate a quasi-solid-state electrolyte (QSSE) based on a POC to enable the stable operation of Li-metal batteries (LMBs). Benefiting from the ordered channels and cavity-induced anion-trapping effect of POC, the resulting POC-based QSSE exhibits a high Li + transference number of 0.67 and a high ionic conductivity of 1.25 × 10 -4 S cm -1 with a low activation energy of 0.17 eV. These allow for homogeneous Li deposition and highly reversible Li plating/stripping for over 2000 h. As a proof of concept, the LMB assembled with POC-based QSSE demonstrates extremely stable cycling performance with 85% capacity retention after 1000 cycles. Therefore, our work demonstrates the practical applicability of POC as SSEs for LMBs and could be extended to other energy-storage systems, such as Na and K batteries., (© 2024. The Author(s).)
Published: 2024
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24. GhMAC3e is involved in plant growth and defense response to Verticillium dahliae.

Author: Han Z, Qiu Y, Pan T, Wang L, Wang J, and Liu K
Subjects: Ascomycota physiology, Indoleacetic Acids metabolism, Plant Growth Regulators metabolism, Gene Silencing, Stress, Physiological genetics, Verticillium, Gossypium genetics, Gossypium microbiology, Gossypium growth & development, Gene Expression Regulation, Plant, Plant Diseases microbiology, Plant Diseases genetics, Plant Diseases immunology, Plant Proteins genetics, Plant Proteins metabolism, Disease Resistance genetics, Plants, Genetically Modified, Arabidopsis genetics, Arabidopsis microbiology
Abstract: Key Message: GhMAC3e expression was induced by various stresses and hormones. GhMAC3e may regulate plant growth by influencing auxin distribution, and play important roles in Verticillium wilt resistance via mediating SA signaling. The MOS4-Associated Complex (MAC) is a highly conserved protein complex involved in pre-mRNA splicing and spliceosome assembly, which plays a vital role in plant immunity. It comprises key components such as MOS4, CDC5, and PRL1. MAC3A/B, as U-box E3 ubiquitin ligases, are crucial for various plant processes including development, stress responses, and disease resistance. However, their roles in cotton remain largely unknown. In this study, we first cloned the GhMAC3e gene from cotton and explored its biological functions by using virus-induced gene silencing (VIGS) in cotton and transgenic overexpression in Arabidopsis. The results showed that GhMAC3e is ubiquitously expressed in cotton tissues and could be induced by salt stress, Verticillium dahliae (VD) infection, PEG, ABA, ETH, GA3, MeJA, and SA. Silencing GhMAC3e retarded primary stem growth and reduced biomass of cotton coupled with the reduced auxin content in the petioles and veins. Silencing GhMAC3e up-regulated expression of cell growth-related genes GhXTH16 and Gh3.6, while down-regulated GhSAUR12 expression. Ectopic expression of GhMAC3e in Arabidopsis significantly enhanced its resistance to Verticillium wilt (VW) in terms of decreased pathogen biomass and lowered plant mortality. Overexpression of GhMAC3e dramatically upregulated AtPR1 by around 15 fold and more than 262 fold under basal and VD inoculation condition, respectively. This change was not associated with the expression of GhNPR1. In conclusion, GhMAC3e may not only regulate plant growth by influencing auxin distribution and growth-related gene expression, but also play important roles in VW resistance via mediating SA signaling independent of NPR1 transcription level., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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25. Integrative analysis of multiple cell death model for precise prognosis and drug response prediction in gastric cancer.

Author: Su W, Shi X, Wen X, Li X, Zhou J, Zhou Y, Ren F, and Kang K
Abstract: Background: Gastric cancer (GC) is a common upper gastrointestinal tumor. However, the evaluation of prognosis and treatment response in patients with gastric cancer remains a challenge. Programmed cell death (PCD) is one of the important terminal paths for the cells of metazoans, and is involved in a variety of biological events that include morphogenesis, maintenance of tissue homeostasis, and elimination of harmful cells. The objective of this project is to investigate the predictive significance of cell death pathways and create prognostic signatures associated to cell death, with the purpose of forecasting prognosis and providing guidance for the treatment of gastric cancer., Methods: Gene transcription profiles and corresponding clinical data of gastric cancer patients were collected from The Cancer Genome Atlas (TCGA-STAD, n = 448) and the Gene Expression Comprehensive Database (GSE84437, n = 483). Thirteen types of cell death-related genes, including apoptosis, necroptosis, pyroptosis, ferroptosis, autophagy, cuprotosis, parthanatos, entotic cell death, netotic cell death, lysosome-dependent cell death, alkaliptosis, oxeiptosis, and disulfidptosis, were analysed. Cell death-related genes associated with prognosis were identified in the TCGA-STAD training cohort using Lasso-Cox regression to generate a risk score. Patients were categorized into high and low-risk groups based on the median risk score for survival difference analysis. Cell death-related genes associated with prognosis were identified in the TCGA-STAD training cohort using Lasso-Cox regression to generate a risk score. Additionally, the response to immunotherapy in the high-risk and low-risk groups was calculated using the oncoPredict algorithm. Futhermore, the model genes were validated in the GEO validation set., Results: A total of 324 differential programmed cell death (PCD)-related genes were identified, and 65 were selected through single-factor Cox analysis. Six PCD-related genes were ultimately identified by Lasso regression to construct a prognostic risk score model. The log-rank test revealed that patients in the high-risk group had inferior survival time compared with those in the low-risk group. The area under the ROC curve (AUC) for the training group at years 1, 3, and 5 were 0.684, 0.713, 0.743, respectively, while the AUC for the validation cohort at years 1, 3, and 5 were 0.695, 0.704, and 0.707, respectively. Unsupervised clustering identified potential subtypes included in the model, and a survival difference was also observed between the two subgroups. Multifactor Cox results, combined with clinical information, demonstrated that the prognostic risk score can serve as an independent prognostic factor, irrespective of other clinical features., Conclusion: By comprehensively analyzing multiple cell death patterns, we have established a novel model that accurately forecasts the clinical prognosis and drug sensitivity of gastric cancer. It was found that all 12 representative drugs may not be suitable for patients in high-risk groups., (© 2024. The Author(s).)
Published: 2024
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26. International comparison and insights on sustainable competitiveness of water industry management models: evidences from France and China.

Author: Zhang W, Deng B, Yang X, and Tian K
Subjects: China, France, Conservation of Natural Resources, Models, Theoretical, Industry, Water, Sustainable Development
Abstract: The sustainability of water industry management model is one of the essential means to achieve sustainable utilization of water resources. Based on existing research on the sustainability of water industry, this study explores the factors affecting the sustainable competitiveness of water industry management model. It constructs a more complete sustainable competitiveness evaluation indicator system. Evidences taken from France and China were selected as the references for the study, and the principal component analysis was used to evaluate the overall sustainable competitiveness and main component dimensions. It is found through this study that the overall competitiveness indicator in the sustainable water industry management model and the sub-dimensional competitiveness indicators in resource support, development base, and environmental impact of water industry of France are better than those of China. China is more competitive in social inclusion, technological innovation, and sustainability of water industry. Based on the research results, this study provides insights into solving the existing issues in the sustainable development of China's water industry to support how China can adjust its water industry management model to improve its sustainable competitiveness., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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27. Genome Analysis and Safety Assessment of Achromobacter marplatensis Strain YKS2 Strain Isolated from the Rumen of Yaks in China.

Author: Li D, Han S, Zhang K, Xu G, Zhang H, Chen F, Wang L, Liu Q, Guo Z, Zhang J, and Li J
Subjects: Animals, Mice, Cattle microbiology, China, Probiotics administration & dosage, Male, Rumen microbiology, Genome, Bacterial, Achromobacter genetics, Achromobacter isolation & purification, Gastrointestinal Microbiome
Abstract: Achromobacter marplatensis strain YKS2 isolated from the yak rumen has the feature of producing cellulose. This study aims to analyze the genome and safety of strain YKS2 in vivo, considering its future research and application prospects. The genome of strain YKS2 was sequenced and used for genomic in silico studies. The administration of strain YKS2 in three doses was carried out on mice for 3 days of oral and 7 days of clinical observation tests. The BW, FI, organ indices, gut microbiota, and histological appearances of organs and intestines, along with hematological parameters and serum biochemistry, were measured in mice. The chromosome size of strain YKS2 was 6,588,568 bp, with a GC content of 65.27%. The 6058 coding sequences of strain YKS2 without plasmid were predicted and annotated and have multiple functions. The mice in all groups were alive, with good mental states and functional activities. Compared with the control group, there was no significant difference in the three dose groups on BW, FI, hematological parameters (WBC, LYM, etc.), and serum biochemistry (ALB, ALT, etc.). No abnormalities were observed in the main visceral organs, intestinal tissue, and V/C value in groups. However, the IEL number of duodenum and gut microbiota diversity (Shannon's index) in the high-dose group was significantly higher than in the control group (p < 0.05). Besides, the low dose of strain YKS2 also significantly affected the bacterial abundance of Firmicutes, Actinobacteria, and desulphurizing Bacteroidetes at the phylum level. There was no significant effect at genus levels in groups. In conclusion, the study revealed the genome and potential functional genes of strain YKS2, which is beneficial to understanding the features of the A. marplatensis strain and proved strain YKS2 to be without acute toxicity to mice. However, a long-term feeding toxicity experiment in vivo should be performed to further ensure its potential application value strain in the animal industry., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2024
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28. Radiomics nomogram based on dual-energy CT-derived iodine maps: evaluation of mucosal healing in patients with Crohn's disease.

Author: Li J, Zhang L, Tang W, Zhang Y, Zhang L, Yu M, and Li K
Published: 2024
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29. Photo-Energized MoS 2 /CNT Cathode for High-Performance Li-CO 2 Batteries in a Wide-Temperature Range.

Author: Hu T, Lian W, Hu K, Li Q, Cui X, Yao T, and Shen L
Abstract: Li-CO 2 batteries are considered promising energy storage systems in extreme environments such as Mars; however, severe performance degradation will occur at a subzero temperature owning to the sluggish reaction kinetics. Herein, a photo-energized strategy adopting sustainable solar energy in wide working temperature range Li-CO 2 battery was achieved with a binder-free MoS 2 /carbon nanotube (CNT) photo-electrode as cathode. The unique layered structure and excellent photoelectric properties of MoS 2 facilitate the abundant generation and rapid transfer of photo-excited carriers, which accelerate the CO 2 reduction and Li 2 CO 3 decomposition upon illumination. The illuminated battery at room temperature exhibited high discharge voltage of 2.95 V and mitigated charge voltage of 3.27 V, attaining superior energy efficiency of 90.2% and excellent cycling stability of over 120 cycles. Even at an extremely low temperature of - 30 °C, the battery with same electrolyte can still deliver a small polarization of 0.45 V by the photoelectric and photothermal synergistic mechanism of MoS 2 /CNT cathode. This work demonstrates the promising potential of the photo-energized wide working temperature range Li-CO 2 battery in addressing the obstacle of charge overpotential and energy efficiency., (© 2024. The Author(s).)
Published: 2024
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30. The divergence of DHN-derived melanin pathways in Metarhizium robertsii.

Author: Xie L, Liu Y, Zhang Y, Chen K, Yue Q, Wang C, Dun B, Xu Y, and Zhang L
Subjects: Naphthols metabolism, Fungal Proteins metabolism, Fungal Proteins genetics, Ultraviolet Rays, Metarhizium metabolism, Metarhizium genetics, Melanins metabolism, Melanins biosynthesis, Saccharomyces cerevisiae metabolism, Saccharomyces cerevisiae genetics, Biosynthetic Pathways
Abstract: The important role of dihydroxynaphthalene-(DHN) melanin in enhancing fungal stress resistance and its importance in fungal development and pathogenicity are well-established. This melanin also aids biocontrol fungi in surviving in the environment and effectively infecting insects. However, the biosynthetic origin of melanin in the biocontrol agents, Metarhizium spp., has remained elusive due to the complexity resulting from the divergence of two DHN-like biosynthetic pathways. Through the heterologous expression of biosynthetic enzymes from these two pathways in baker's yeast Saccharomyces cerevisiae, we have confirmed the presence of DHN biosynthesis in M. roberstii, and discovered a novel naphthopyrone intermediate, 8, that can produce a different type of pigment. These two pigment biosynthetic pathways differ in terms of polyketide intermediate structures and subsequent modification steps. Stress resistance studies using recombinant yeast cells have demonstrated that both DHN and its intermediates confer resistance against UV light prior to polymerization; a similar result was observed for its naphthopyrone counterpart. This study contributes to the understanding of the intricate and diverse biosynthetic mechanisms of fungal melanin and has the potential to enhance the application efficiency of biocontrol fungi such as Metarhizium spp. in agriculture., (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
Published: 2024
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31. Unraveling the role of bisphenol A in osteosarcoma biology: insights into prognosis and immune microenvironment modulation.

Author: Shiyao L, Yao K, Jun L, Yichen L, Tingxiao Z, Longtao Y, Hong Z, and Kai Z
Abstract: Background: Bisphenol A (BPA) is a common environmental pollutant, and its specific mechanisms in cancer development and its impact on the tumor immune microenvironment are not yet fully understood., Methods: Transcriptome data from osteosarcoma (OS) patients were downloaded from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. BPA-related genes were identified through the Comparative Toxicogenomics Database (CTD), yielding 177 genes. Differentially expressed genes were analyzed using the GSE162454 dataset from the Tumor Immune Single Cell Hub 2 (TISCH2). We constructed the prognostic model using univariate Cox regression and LASSO analysis. The model was validated using the GSE16091 dataset. GO, KEGG, and GSEA analyses were performed to investigate the mechanisms of BPA-related genes., Results: A total of 15 BPA-related genes were identified as differentially expressed in OS. Univariate Cox regression and LASSO analysis identified four key prognostic genes (FOLR1, MYC, ESRRA, VEGFA). The prognostic model exhibited strong predictive performance with area under the curve (AUC) values of 0.89, 0.6, and 0.79 for predicting 1-, 2-, and 3-year survival, respectively. External validation using the GSE16091 dataset confirmed the model's high accuracy with AUC values exceeding 0.88. Our results indicated that the prognosis of the high-risk population is generally poorer, which may be associated with alterations in the tumor immune microenvironment. In the high-risk group, immune cells showed predominantly low expression levels, while immune checkpoint genes were significantly overexpressed, along with markedly elevated tumor purity. These findings revealed a correlation between upregulation of BPA-related genes and formation of an immunosuppressive microenvironment, leading to unfavorable patient outcomes., Conclusion: Our study highlighted the significant association of BPA with OS biology, particularly in its potential role in modulating the tumor immune microenvironment. We offered a fresh insight into the influence of BPA on cancer development, thus providing valuable insights for future clinical interventions and treatment strategies., (© 2024. The Author(s).)
Published: 2024
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32. Standardizing norms for 1286 colored pictures in Cantonese.

Author: Zhong J, Huang W, Kang K, Duñabeitia JA, Pliatsikas C, and Zhang H
Subjects: Humans, Female, Male, Adult, Young Adult, Photic Stimulation, Pattern Recognition, Visual physiology, Psycholinguistics methods, Language
Abstract: This study established psycholinguistic norms in Cantonese for a set of 1286 colored pictures sourced from several picture databases, including 750 colored line drawings from MultiPic (Duñabeitia et al., 2018) and 536 photographs selected for McRae et al. (2005) concepts. The pictures underwent rigorous normalization processes. We provided picture characteristics including name and concept agreement, familiarity, visual complexity, and frequency of modal responses. Through correlational analyses, we observed strong interrelationships among these variables. We also compared the current Cantonese norming to other languages and demonstrated similarity and variations among different languages. Additionally, we embraced the multilingual diversity within the current sample, and found that higher Cantonese proficiency but lower non-native language proficiency were associated with better spoken picture naming. Last but not least, we validated the predictive power of normed variables calculated from typed responses to spoken picture naming, and the consistency between typed and spoken responses. The present norming provides a timely and valuable alternative for researchers in the field of psycholinguistics, especially those studying Cantonese production and lexical retrieval. All raw data, analysis scripts, and final norming results are available online as psycholinguistic norms for Cantonese in the following link at the Open Science Framework: https://osf.io/dz9j6/?view_only=a452d8a56c92430b9dedf21ac26b1bc1 ., (© 2024. The Psychonomic Society, Inc.)
Published: 2024
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33. Mendelian randomization demonstrates a causal link between peripheral circulating acylcarnitines and intracranial aneurysms.

Author: Wang Y, Xie K, Wang J, Chen F, Li X, and Zhang L
Subjects: Humans, Genome-Wide Association Study, Male, Female, Hypertension blood, Hypertension genetics, Mendelian Randomization Analysis, Intracranial Aneurysm blood, Intracranial Aneurysm genetics, Carnitine analogs & derivatives, Carnitine blood
Abstract: Intracranial aneurysm (IA) is the most prevalent type of cerebral vascular disease causing life-threatening subarachnoid hemorrhages (SAH). A long-term vascular structure remodeling is considered as the main pathophysiological feature of IAs. However, the causal factors triggering the pathophysiological process are not clear. Recently, the abnormalities of peripheral circulating proteins and metabolites have been found in IAs patients and associated with the ruptures. We comprehensively investigated the potential causal relationship between blood metabolites and proteins and IAs using the mendelian randomization (MR) analysis. We applied two-sample MR to explore the potential causal association between peripheral circulating metabolites (191 blood metabolites) and proteins (1398 proteins) and IAs using data from the FinnGen study and the GWAS datasets published by Bakker et al. We identified palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine as causal contributors of IAs and ruptures. Further two-step mediation MR analysis suggested that hypertension as one of the contributors of IAs and ruptures mediated the causal relationship between palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine and IAs. Together, our study demonstrates that blood metabolic palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine are causally linked to the formation and rupture of IAs. Hypertension partially mediates the causal effects., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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34. Disulfidptosis-related long non-coding RNA signature predicts the prognosis, tumor microenvironment, immunotherapy, and antitumor drug options in colon adenocarcinoma.

Author: Wang K, Yu J, Xu Q, Peng Y, Li H, Lu Y, and Ouyang M
Abstract: This study aims to investigate the role and prognostic significance of long non-coding RNAs (lncRNAs) associated with disulfidptosis in colon adenocarcinoma (COAD). The TCGA database's clinical data and transcriptome profiles were employed. Analysis of previous studies identified 10 disulfidptosis-related genes (DRGs). We used these genes to construct a signature that could independently and accurately predict the prognosis of patients with COAD. The Kaplan-Meier (K-M) curve analysis showed that the lower-risk group had a better prognosis. With the help of multivariate Cox regression analysis, the risk score produced from the patient's signature might independently predict the outcomes. Utilizing a nomogram, the receiver operating characteristic (ROC) curve, and principal component analysis (PCA), the signature's predictive ability was also confirmed. It's interesting to note that immunotherapy, especially PD-1 immune checkpoint suppression, was more likely to benefit low-risk patients. The IC50 levels for certain anticancer agents were lower in the high-risk group. Finally, qRT-PCR analyses in colon cancer cell lines revealed elevated levels of lncRNAs CASC9, ZEB1-AS1, ATP2A1-AS1, SNHG7, AL683813.1, and AP003555.1, and reduced levels of FAM160A1-DT and AC112220.2, compared to normal cell lines. This signature offers insights into prognosis, tumor microenvironment, and options for immunotherapy and antitumor drugs in patients with COAD., (© 2024. The Author(s).)
Published: 2024
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35. Design and validation a minimally invasive robotic surgical instrument with decoupled pose and multi-DOF.

Author: Yang Y, Zhang H, Kong K, Su H, and Li J
Subjects: Humans, Algorithms, Surgical Instruments, Robotic Surgical Procedures methods, Robotic Surgical Procedures instrumentation, Minimally Invasive Surgical Procedures instrumentation, Minimally Invasive Surgical Procedures methods, Equipment Design
Abstract: High-performance miniature surgical instruments play an important role in complicated minimally invasive surgery (MIS). Based on in-depth analysis of the requirements of MIS and the characteristics of the existing minimally invasive surgical instruments, a multiple degrees of freedom (DOF) robotic surgical instrument with decoupled pose was proposed. Firstly, the design concept of the pose decoupling instrument was described in detail, and its physical structure, transmission structure, and mechanical properties were designed and analyzed. A surgical instrument control algorithm based on the master-slave mode was established. Finally, a physical prototype was developed, and its motion ranges of joints, load capacity, and suture operation performance were comprehensively evaluated, which confirmed the effectiveness of the proposed minimally invasive robotic surgical instrument., (© 2024. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.)
Published: 2024
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36. Revolutionizing T3-4N0-2M0 gastric cancer staging with an innovative pathologic N classification system.

Author: Yin K, Jin X, Pan Y, Zi M, Zheng Y, Ma Y, Pang C, Liu K, Chen J, Wei Y, Liu D, Cheng X, and Yuan L
Subjects: Humans, Male, Female, Middle Aged, Aged, Prognosis, Kaplan-Meier Estimate, Lymphatic Metastasis, Lymph Node Ratio, Proportional Hazards Models, Retrospective Studies, Adult, Stomach Neoplasms pathology, Stomach Neoplasms classification, Stomach Neoplasms mortality, Neoplasm Staging methods, SEER Program, Lymph Nodes pathology
Abstract: Background: The current pathologic N (pN) classification exhibits limitations in the prognostic stratification of patients with pT3-4N0-2M0 gastric cancer (GC). Therefore, this study aimed to develop and validate a new lymph nodal staging method based on the number of examined lymph nodes (ELNs) and lymph node ratio (LNR)., Methods: Data from 7883 patients with pT3-4N0-2M0 GC were collected from the Surveillance, Epidemiology, and End Results (SEER) database and Zhejiang Cancer Provincial Hospital. Optimal cutoff values for ELNs and LNR were determined using X-tile software. Kaplan-Meier methods, Log-rank tests, and Cox regression analyses were employed in this study. Patients were categorized into 3 new pN stages: new pN0 (pN0 with ELNs of >16), new pN1 (pN0 with ELNs of ≤16 or pN1-2 with LNR of ≤0.15), and new pN2 (pN1-2 with LNR of >0.15). The prognostic predictive power of both current and new pN staging was evaluated using the Akaike information criterion (AIC), Bayesian information criterion, concordance index (C-index), and receiver operating characteristic curve., Results: The new pN classification exhibited excellent performance in Kaplan-Meier survival analysis. After adjusting for confounding factors, the new pN staging emerged as an independent prognostic indicator in patients with GC. In the SEER cohort, the new pN staging demonstrated enhanced prognostic prediction accuracy over the American Joint Committee on Cancer pN staging (AIC: 75578.85 vs 75755.06; C-index: 0.642 vs 0.630; P < .001). Similar findings were validated in the Chinese cohort., Conclusion: This study developed and validated an improved pN classification for patients with pT3-4N0-2M0 GC. Surgeons should consider ELNs and LNR when assessing postoperative prognosis in patients with GC., Competing Interests: Declaration of competing interest The authors declare no competing interests., (Copyright © 2024. Published by Elsevier Inc.)
Published: 2024
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37. Hepatic Symbiotic Bacterium L. reuteri FLRE5K1 Inhibits the Development and Progression of Hepatocellular Carcinoma via Activating the IFN-γ/CXCL10/CXCR3 Pathway.

Author: Zhang N, Ye S, Wang X, Wang K, Zhong F, Yao F, Liu J, Huang B, Xu F, and Wang X
Subjects: Animals, Mice, Symbiosis, Mice, Inbred C57BL, Humans, Liver microbiology, Liver metabolism, Male, Signal Transduction, Carcinoma, Hepatocellular microbiology, Liver Neoplasms microbiology, Interferon-gamma metabolism, Probiotics, Receptors, CXCR3 metabolism, Chemokine CXCL10 metabolism, Chemokine CXCL10 genetics, Limosilactobacillus reuteri physiology
Abstract: Symbiotic bacteria participate in the formation of the structure and function of the tissues and organs in which they live, and play an essential role in maintaining the balance between health and disease. Lactobacillus reuteri FLRE5K1 was isolated from the liver of healthy mice and proved to be a probiotic with anti-melanoma activity in previous studies. The relationship between hepatic symbiotic probiotics and hepatocellular carcinoma (HCC) has not been reported yet. In the present study, L. reuteri FLRE5K1 was initially confirmed to successfully enter the liver after being administered by gavage, and the efficacy of probiotic feeding on HCC and its potential mechanism of inhibiting tumor progression were investigated by an orthotopic liver cancer model established. The results showed that L. reuteri FLRE5K1 significantly reduced the tumor formation rate and inhibited tumor growth in mice. From the perspective of mechanism, activation of the IFN-γ/CXCL10/CXCR3 pathway, as well as its positive feedback on the secretion of IFN-γ, induced the polarization of Th0 cell to Th1 cells and inhibited the differentiation of Tregs, which played a key role in the inhibitory effect of L. reuteri FLRE5K1 on the development and progression of HCC., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2024
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38. Lipoprotein (a)-Related Inflammatory Imbalance: A Novel Horizon for the Development of Atherosclerosis.

Author: Qin T, Ma TY, Huang K, Lu SJ, Zhong JH, and Li JJ
Subjects: Humans, Animals, Risk Factors, Lipoprotein(a) metabolism, Lipoprotein(a) blood, Atherosclerosis metabolism, Atherosclerosis immunology, Inflammation metabolism
Abstract: Purpose of Review: The primary objective of this review is to explore the pathophysiological roles and clinical implications of lipoprotein(a) [Lp(a)] in the context of atherosclerotic cardiovascular disease (ASCVD). We seek to understand how Lp(a) contributes to inflammation and arteriosclerosis, aiming to provide new insights into the mechanisms of ASCVD progression., Recent Findings: Recent research highlights Lp(a) as an independent risk factor for ASCVD. Studies show that Lp(a) not only promotes the inflammatory processes but also interacts with various cellular components, leading to endothelial dysfunction and smooth muscle cell proliferation. The dual role of Lp(a) in both instigating and, under certain conditions, mitigating inflammation is particularly noteworthy. This review finds that Lp(a) plays a complex role in the development of ASCVD through its involvement in inflammatory pathways. The interplay between Lp(a) levels and inflammatory responses highlights its potential as a target for therapeutic intervention. These insights could pave the way for novel approaches in managing and preventing ASCVD, urging further investigation into Lp(a) as a therapeutic target., (© 2024. The Author(s).)
Published: 2024
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39. CircSorbs1 regulates myocardial regeneration and reduces cancer therapy-related cardiovascular toxicity through the Mir-99/GATA4 pathway.

Author: Huang K, Huang D, Li Q, Zeng J, Qin T, Zhong J, Zhong Z, and Lu S
Abstract: Due to the cancer therapy-related cardiovascular toxicity, heart failure following cancer therapy has a significant mortality rate. Gene-targeted therapy promotes the re-entry of existing cardiomyocytes into the cell cycle to achieve myocardial regeneration, which is a promising strategy for preventing and treating heart failure after myocardial infarction. Circular RNAs (circRNAs) are considered as potential targets for myocardial regeneration due to their strong stability, resistance to degradation, and potential role in heart development and cardiovascular diseases. By comparing the myocardial tissue of mice in the sham operation group and the Doxorubicin therapy group (DOX), we observed a significant decrease in Cirsorbs expression in the DOX group. Cirsorbs was predominantly localized in cardiomyocytes and exhibited high conservation. Subsequent investigations revealed that Cirsorbs could promote myocardial proliferation and inhibit myocardial apoptosis. Mechanistic studies further demonstrated that Cirsorbs could bind to miR99 and reduce its expression level. Meanwhile, miR99 was found to bind to GATA4 mRNA and decrease its expression level. The binding of Cirsorbs to miR99 alleviated the repression of miR99, thereby enhancing GATA4 expression and the transcription of downstream cyclin A2 and cyclin E1. This, in turn, increased cardiomyocyte proliferation and reduced apoptosis. In conclusion, Cirsorbs holds promise as an effective target for myocardial regeneration in reducing cancer therapy-related cardiovascular toxicity., (© 2024. The Author(s).)
Published: 2024
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40. Research on energy storage capacity optimization of rural household photovoltaic system considering energy storage sharing.

Author: Wang W and Kang K
Subjects: Solar Energy, Rural Population, Electric Power Supplies, Family Characteristics
Abstract: With the promotion of the photovoltaic (PV) industry throughout the county, the scale of rural household PV continues to expand. However, due to the randomness of PV power generation, large-scale household PV grid connection has a serious impact on the safe and stable operation of the distribution network. Based on this background, this paper considers three typical scenarios, including household PV without energy storage, household PV with distributed energy storage, and household PV with centralized energy storage. Then, a calculation model for PV local consumption rate and annual net cost under different scenarios is constructed. Combined with a natural village in Shandong Province, the PV local consumption rate and annual net cost under three scenarios are compared and analyzed, and the potential of energy storage sharing in reducing storage capacity and improving PV local consumption is explored. The results show that configuring energy storage for household PV can significantly improve the power self-balancing capability. When meeting the same PV local consumption, household PV centralized energy storage can achieve smaller energy storage configuration and lower cost compared to household PV distributed energy storage. Finally, suggestions are proposed to further promote the development of household PV energy storage system. The research results can provide reference for improving the local consumption of rural household PV and accelerating the application of household PV energy storage system., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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41. N6-methyladenosine-driven miR-143/145-KLF4 circuit orchestrates the phenotypic switch of pulmonary artery smooth muscle cells.

Author: Kang K, Sun C, Li H, Liu X, Deng J, Chen S, Zeng L, Chen J, Liu X, Kuang J, Xiang J, Cheng J, Liao X, Lin M, Zhang X, Zhan C, Liu S, Wang J, Niu Y, Liu C, Liang C, Zhu J, Liang S, Tang H, and Gou D
Subjects: Animals, Mice, Rats, Phenotype, Male, Hypertension, Pulmonary metabolism, Hypertension, Pulmonary genetics, Hypertension, Pulmonary pathology, Muscle, Smooth, Vascular metabolism, Mice, Inbred C57BL, Vascular Remodeling genetics, Rats, Sprague-Dawley, Humans, Kruppel-Like Factor 4 metabolism, MicroRNAs genetics, MicroRNAs metabolism, Pulmonary Artery metabolism, Kruppel-Like Transcription Factors metabolism, Kruppel-Like Transcription Factors genetics, Myocytes, Smooth Muscle metabolism, Adenosine analogs & derivatives, Adenosine metabolism, Methyltransferases metabolism, Methyltransferases genetics
Abstract: Pulmonary hypertension (PH) is characterized by vascular remodeling predominantly driven by a phenotypic switching in pulmonary artery smooth muscle cells (PASMCs). However, the underlying mechanisms for this phenotypic alteration remain incompletely understood. Here, we identified that RNA methyltransferase METTL3 is significantly elevated in the lungs of hypoxic PH (HPH) mice and rats, as well as in the pulmonary arteries (PAs) of HPH rats. Targeted deletion of Mettl3 in smooth muscle cells exacerbated hemodynamic consequences of hypoxia-induced PH and accelerated pulmonary vascular remodeling in vivo. Additionally, the absence of METTL3 markedly induced phenotypic switching in PASMCs in vitro. Mechanistically, METTL3 depletion attenuated m 6 A modification and hindered the processing of pri-miR-143/145, leading to a downregulation of miR-143-3p and miR-145-5p. Inhibition of hnRNPA2B1, an m 6 A mediator involved in miRNA maturation, similarly resulted in a significant reduction of miR-143-3p and miR-145-5p. We demonstrated that miR-145-5p targets Krüppel-like factor 4 (KLF4) and miR-143-3p targets fascin actin-bundling protein 1 (FSCN1) in PASMCs. The decrease of miR-145-5p subsequently induced an upregulation of KLF4, which in turn suppressed miR-143/145 transcription, establishing a positive feedback circuit between KLF4 and miR-143/145. This regulatory circuit facilitates the persistent suppression of contractile marker genes, thereby sustaining PASMC phenotypic switch. Collectively, hypoxia-induced upregulation of METTL3, along with m 6 A mediated regulation of miR-143/145, might serve as a protective mechanism against phenotypic switch of PASMCs. Our results highlight a potential therapeutic strategy targeting m 6 A modified miR-143/145-KLF4 loop in the treatment of PH., (© 2024. The Author(s).)
Published: 2024
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42. Clinical and diagnostic characteristics of Hashimoto's encephalopathy: a single-center, retrospective study.

Author: Lee JJ, Park SM, Park KI, Kang K, Lee WW, Kim BK, Kim YS, and Yoo I
Abstract: Background and Purpose: Diagnosing Hashimoto's encephalopathy (HE) is challenging. In contrast to other types of autoimmune encephalitis, HE shows an excellent response to steroid treatment. We aimed to investigate the rates of antithyroid antibodies (ATAs) and probable HE in patients with unexplained mental dysfunction and compare the clinical characteristics between the good- and poor-outcome groups., Methods: We retrospectively reviewed the medical records and electroencephalography (EEG) and neuroimaging findings of patients admitted to the Department of Neurology of our hospital from March 1, 2006, to February 28, 2023. Using our proposed diagnostic criteria for probable HE, we compared the clinical characteristics between the good- and poor-outcome groups. We also investigated the rates of ATA positivity and probable HE., Results: In total, 198 patients exhibited altered mentation, rapidly progressive cognitive decline, or myoclonus. ATA tests were performed on 86 patients, and the detection rates of ATAs and probable HE were 29.1% and 25.6%, respectively. Of the 22 patients enrolled, the good- and poor-outcome groups comprised 19 and 3 patients, respectively. Clinical seizures occurred in seven patients. Nonconvulsive status epilepticus on EEG was observed in six patients, all of whom were intractable to antiepileptic drugs. Nineteen of 21 patients (90.5%) treated with immunosuppressants showed good outcomes., Conclusions: HE is a rare clinical disorder, but not as rare as previously thought. When HE is suspected, steroids should be considered the first-line treatment. Early diagnosis and adequate treatment are critical to achieve good outcomes in HE., (© 2024. The Author(s).)
Published: 2024
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43. Genome editing in plants using the TnpB transposase system.

Author: Li Q, Wang Y, Hou Z, Zong H, Wang X, Zhang YE, Wang H, Chen H, Wang W, and Duan K
Abstract: The widely used clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated nuclease (Cas) system is thought to have evolved from IS200/IS605 transposons. TnpB proteins, encoded by one type of IS200/IS605 transposon, are considered to be the evolutionary ancestors of Cas12 nucleases, which have been engineered to function as RNA-guided DNA endonucleases for genome editing in bacteria and human cells. TnpB nucleases, which are smaller than Cas nucleases, have been engineered for use in genome editing in animal systems, but the feasibility of this approach in plants remained unknown. Here, we obtained stably transformed genome-edited mutants in rice ( Oryza sativa ) by adapting three recently identified TnpB genome editing vectors, encoding distinct TnpB nucleases (ISAam1, ISDra2, and ISYmu1), for use in plants, demonstrating that the hypercompact TnpB proteins can effectively edit plant genomes. ISDra2 and ISYmu1 precisely edited their target sequences, with no off-target mutations detected, showing that TnpB transposon nucleases are suitable for development into a new genome editing tool for plants. Future modifications improving the genome-editing efficiency of the TnpB system will facilitate plant functional studies and breeding programs., Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-024-00172-6., Competing Interests: Conflict of interestKang Duan, Haitao Chen, Yongqiang Wang, and Xuping Wang are listed as inventors on a patent application related to this work filed by the Sanjie Institute of Forage, Yangling 712100, China., (© The Author(s) 2024.)
Published: 2024
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44. Reduction in Serum Concentrations of Uremic Toxins Driven by Bifidobacterium Longum Subsp. Longum BL21 is Associated with Gut Microbiota Changes in a Rat Model of Chronic Kidney Disease.

Author: Dong Y, Gai Z, Han M, Xu J, and Zou K
Abstract: Gut microbiota dysbiosis and consequent impairment of gut barrier function, culminating in elevated levels of uremic toxins, are prevalent in chronic kidney disease (CKD) patients. These toxins, notably indoxyl sulphate (IS), indole-3-acetic acid (IAA), and trimethylamine oxide (TMAO), are implicated in a spectrum of CKD-related complications, including cardiovascular disease, bone and mineral disorders, and inflammation. The specific impacts of various probiotics on these CKD manifestations remain unexplored. This study delved into the potential of dietary probiotic interventions, particularly Bifidobacterium longum subsp. longum BL21, to modulate gut microbiota and mitigate metabolic disorders in a CKD rat model. Over a six-week period, we administered a dietary regimen of BL21 and conducted comprehensive analyses, including serum uremic toxin quantification and 16S rRNA gene sequencing, to systematically profile gut microbial alterations at the phylogenetic level. Our findings reveal that BL21 intervention significantly ameliorated CKD-induced disruptions in gut microbial populations, enhancing both microbial richness and the relative abundance of key taxa. Importantly, BL21 appeared to exert its beneficial effects by modulating the abundance of crucial species such as Barnesiella and Helicobacter. Functionally, the intervention markedly normalized serum levels of IS, IAA, and TMAO, while potentially attenuating p-cresol sulphate (PCS) and p-cresol glucuronide (PCG) concentrations. Consequently, BL21 demonstrated efficacy in regulating gut microbiota and curtailing the accumulation of uremic toxins. Our results advocate for the utilization of BL21 as a dietary intervention to diminish serum uremic toxins and re-establish gut microbiota equilibrium at the phylogenetic level, underscoring the promise of probiotic strategies in the management of CKD., (© 2024. The Author(s).)
Published: 2024
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45. Genetic dissection of Brassica napus seed vigor after aging.

Author: Ding Y, Hou D, Yin Y, Chen K, He J, Yan S, Li H, Xiong Y, Zhou W, and Li M
Subjects: Chromosome Mapping, Hybrid Vigor, Haploidy, Gene Expression Regulation, Plant, Plant Breeding, Brassica napus genetics, Brassica napus growth & development, Brassica napus physiology, Quantitative Trait Loci, Seeds growth & development, Seeds genetics, Phenotype
Abstract: Key Message: Stable and novel QTLs that affect seed vigor under different storage durations were discovered, and BnaOLE4, located in the interval of cqSW-C2-3, increased seed vigor after aging. Seed vigor is an important trait in crop breeding; however, the underlying molecular regulatory mechanisms governing this trait in rapeseed remain largely unknown. In the present study, vigor-related traits were analyzed in seeds from a doubled haploid (DH) rapeseed (Brassica napus) population grown in 2 different environments using seeds stored for 7, 5, and 3 years under natural storage conditions. A total of 229 quantitative trait loci (QTLs) were identified and were found to explain 3.78%-17.22% of the phenotypic variance for seed vigor-related traits after aging. We further demonstrated that seed vigor-related traits were positively correlated with oil content (OC) but negatively correlated with unsaturated fatty acids (FAs). Some pleiotropic QTLs that collectively regulate OC, FAs, and seed vigor, such as uq.A8, uq.A3-2, uq.A9-2, and uq.C3-1, were identified. The transcriptomic results from extreme pools of DH lines with distinct seed vigor phenotypes during accelerated aging revealed that various biological pathways and metabolic processes (such as glutathione metabolism and reactive oxygen species) were involved in seed vigor. Through integration of QTL analysis and RNA-Seq, a regulatory network for the control of seed vigor was constructed. Importantly, a candidate (BnaOLE4) from cqSW-C2-3 was selected for functional analysis, and transgenic lines overexpressing BnaOLE4 showed increased seed vigor after artificial aging. Collectively, these results provide novel information on QTL and potential candidate genes for molecular breeding for improved seed storability., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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46. A ferroptosis-related signature predicts the clinical diagnosis and prognosis, and associates with the immune microenvironment of lung cancer.

Author: Zhou H, Zhou X, Zhu R, Zhao Z, Yang K, Shen Z, and Sun H
Abstract: Targeting ferroptosis-related pathway is a potential strategy for treatment of lung cancer (LC). Consequently, exploration of ferroptosis-related markers is important for treating LC. We collected LC clinical data and mRNA expression profiles from TCGA and GEO database. Ferroptosis-related genes (FRGs) were obtained through FerrDB database. Expression analysis was performed to obtain differentially expressed FRGs. Diagnostic and prognostic models were constructed based on FRGs by LASSO regression, univariate, and multivariate Cox regression analysis, respectively. External verification cohorts GSE72094 and GSE157011 were used for validation. The interrelationship between prognostic risk scores based on FRGs and the tumor immune microenvironment was analyzed. Immunocytochemistry, Western blotting, and RT-qPCR detected the FRGs level. Eighteen FRGs were used for diagnostic models, 8 FRGs were used for prognostic models. The diagnostic model distinguished well between LC and normal samples in training and validation cohorts of TCGA. The prognostic models for TCGA, GSE72094, and GSE157011 cohorts significantly confirmed lower overall survival (OS) in high-risk group, which demonstrated excellent predictive properties of the survival model. Multivariate Cox regression analysis further confirmed risk score was an independent risk factor related with OS. Immunoassays revealed that in high-risk group, a significantly higher proportion of Macrophages_M0, Neutrophils, resting Natural killer cells and activated Mast cells and the level of B7H3, CD112, CD155, B7H5, and ICOSL were increased. In conclusion, diagnostic and prognostic models provided superior diagnostic and predictive power for LC and revealed a potential link between ferroptosis and TIME., (© 2024. The Author(s).)
Published: 2024
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47. Establishing a machine learning model based on dual-energy CT enterography to evaluate Crohn's disease activity.

Author: Li J, Xie G, Tang W, Zhang L, Zhang Y, Zhang L, Wang D, and Li K
Abstract: Objectives: The simplified endoscopic score of Crohn's disease (SES-CD) is the gold standard for quantitatively evaluating Crohn's disease (CD) activity but is invasive. This study aimed to develop and validate a machine learning (ML) model based on dual-energy CT enterography (DECTE) to noninvasively evaluate CD activity., Methods: We evaluated the activity in 202 bowel segments of 46 CD patients according to the SES-CD score and divided the segments randomly into training set and testing set at a ratio of 7:3. Least absolute shrinkage and selection operator (LASSO) was used for feature selection, and three models based on significant parameters were established based on logistic regression. Model performance was evaluated using receiver operating characteristic (ROC), calibration, and clinical decision curves., Results: There were 110 active and 92 inactive bowel segments. In univariate analysis, the slope of spectral curve in the venous phases (λ HU -V) has the best diagnostic performance, with an area under the ROC curve (AUC) of 0.81 and an optimal threshold of 1.975. In the testing set, the AUC of the three models established by the 7 variables to differentiate CD activity was 0.81-0.87 (DeLong test p value was 0.071-0.766, p > 0.05), and the combined model had the highest AUC of 0.87 (95% confidence interval (CI): 0.779-0.959)., Conclusions: The ML model based the DECTE can feasibly evaluate CD activity, and DECTE parameters provide a quantitative analysis basis for evaluating specific bowel activities in CD patients., Critical Relevance Statement: The machine learning model based on dual-energy computed tomography enterography can be used for evaluating Crohn's disease activity noninvasively and quantitatively., Key Points: Dual-energy CT parameters are related to Crohn's disease activity. Three machine learning models effectively evaluated Crohn's disease activity. Combined models based on conventional and dual-energy CT have the best performance., (© 2024. The Author(s).)
Published: 2024
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48. Degradation of the emerging brominated flame retardant tetrabromobisphenol S using organo-montmorillonite supported nanoscale zero-valent iron.

Author: Qin C, Wu J, Lu X, Gu C, Guo Y, Hu G, Chen M, Xia K, Wang H, and Xie M
Subjects: Polybrominated Biphenyls chemistry, Bentonite chemistry, Flame Retardants, Iron chemistry
Abstract: The widespread occurrence of emerging brominated flame retardant tetrabromobisphenol S (TBBPS) has become a major environmental concern. In this study, a nanoscale zero-valent iron (nZVI) impregnated organic montmorillonite composite (nZVI-OMT) was successfully prepared and utilized to degrade TBBPS in aqueous solution. The results show that the nZVI-OMT composite was very stable and reusable as the nZVI was well dispersed on the organic montmorillonite. Organic montmorillonite clay layers provide a strong support, facilitate well dispersion of the nZVI chains, and accelerate the overall TBBPS transformation with a degradation rate constant 5.5 times higher than that of the original nZVI. Four major intermediates, including tribromobisphenol S (tri-BBPS), dibromobisphenol S (di-BBPS), bromobisphenol S (BBPS), and bisphenol S (BPS), were detected by high-resolution mass spectrometry (HRMS), indicating sequential reductive debromination of TBBPS mediated by nZVI-OMT. The effective elimination of acute ecotoxicity predicted by toxicity analysis also suggests that the debromination process is a safe and viable option for the treatment of TBBPS. Our results have shown for the first time that TBBPS can be rapidly degraded by an nZVI-OMT composite, expanding the potential use of clay-supported nZVI composites as an environmentally friendly material for wastewater treatment and groundwater remediation., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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49. Study on the secondary oxidation behavior and microscopic characteristics of oxidized coal gangue.

Author: Wang C, Xin H, Wang D, Qi Z, Zhang K, Zhang W, and Hou Z
Subjects: Spectroscopy, Fourier Transform Infrared, Spontaneous Combustion, Oxidation-Reduction, Coal
Abstract: Spontaneous combustion of coal gangue (CG) hills has caused varieties of secondary disasters that seriously endanger the ecological environment of the world. The emission law of index gases and their oxidation kinetics during the secondary oxidation process of CG with different ranks of oxidation were studied by using the temperature programmed device and online mass spectrometer (MS). Fourier transform infrared spectroscopy (FTIR) was used to reveal the changes of the CG internal active functional groups. The results showed that the energy required for the combustion of CG with low rank of pre-oxidation was significantly lower than that of the raw sample. However, as the oxidation rank increased, due to amounts of volatile components were released in the process of oxidation reaction, the CG in the combustion process of the emission of index gases and its oxygen consumption rate gradually reduced; the rapid oxidation stage shifted to the direction of the high temperature. In this study, the risk of spontaneous combustion of CG after oxidation at 80 ℃ under 3% oxygen concentration was the strongest. The results of this paper are of great guiding significance for exploring the spontaneous combustion characteristics of CG hills and their prevention by traditional covering method., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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50. A coupling model based on spatial characteristics and evolution of terrestrial ecosystem carbon storage: a case study of Hanzhong.

Author: Yuan B, Hou K, Li Y, and Sun P
Subjects: China, Carbon, Carbon Sequestration, Models, Theoretical, Global Warming, Ecosystem
Abstract: Ecosystem carbon storage (ECS) is a critical consideration in reducing the impact of global warming and tackling environmental challenges, positioning it at the forefront of contemporary research. Due to the significant differences in the influence of land usage patterns on ECS in various policy contexts and China's commitment to attaining a carbon-neutral status, a model simulating different scenarios is needed to analyze the spatiotemporal characteristics and evolutionary process of carbon storage in terrestrial ecosystems accurately. To address this challenge, this study established a coupling model of "Geographical analysis -Evolution analysis -Predicting (GEP)" for assessing ecosystem ECS and analyzing its spatial characteristics and evolutionary patterns and projecting the spatial distribution of ECS under various developmental scenarios, which analyzed variations in ECS across different levels of magnitude and delineated the changing areas across a range of varying scenarios in the future additionally. The outcomes suggested that the ECS decreased by 1.17 × 10 6 t from 1990 to 2020, which pertaining to the utilization transfer of land in the area, whose change in ECS levels with a positive trend. It is predicted that the ECS will grow by 1.15 × 10 6 t and 1.44 × 10 6 t, in 2030 and 2060 compared with 2020 within the framework of natural development scenario (NDS), while within the framework of ecological protection scene (EPS), ECS will increase significantly, increasing by 3.06 × 10 6 t and 4.44 × 10 6 t. There will be more areas where ECS increases within the framework of EPS, by comparing with the NDS. This study offers a comprehensive analysis of Hanzhong City's carbon storage trends, demonstrating its significant impact on climate change mitigation and serving as a predictive model for similar regions, which underscores the importance of localized carbon management strategies, offering valuable insights for local governments in formulating effective climate adaptation and mitigation policies., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Published: 2024
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