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1. Imaging ultrafast electronic domain fluctuations with X-ray speckle visibility

Author: Hua, N., Sun, Y., Rao, P., Hagström, N. Zhou, Stoychev, B. K., Lamb, E. S., Madhavi, M., Botu, S. T., Jeppson, S., Clémence, M., McConnell, A. G., Huang, S. -W., Zerdane, S., Mankowsky, R., Lemke, H. T., Sander, M., Esposito, V., Kramer, P., Zhu, D., Sato, T., Song, S., Fullerton, E. E., Shpyrko, O. G., Kukreja, R., and Gerber, S.
Subjects: Condensed Matter - Strongly Correlated Electrons
Abstract: Speckle patterns manifesting from the interaction of coherent X-rays with matter offer a glimpse into the dynamics of nanoscale domains that underpin many emergent phenomena in quantum materials. While the dynamics of the average structure can be followed with time-resolved X-ray diffraction, the ultrafast evolution of local structures in nonequilibrium conditions have thus far eluded detection due to experimental limitations, such as insufficient X-ray coherent flux. Here we demonstrate a nonequilibrium speckle visibility experiment using a split-and-delay setup at an X-ray free-electron laser. Photoinduced electronic domain fluctuations of the magnetic model material Fe$_{3}$O$_{4}$ reveal changes of the trimeron network configuration due to charge dynamics that exhibit liquid-like fluctuations, analogous to a supercooled liquid phase. This suggests that ultrafast dynamics of electronic heterogeneities under optical stimuli are fundamentally different from thermally-driven ones.
Published: 2024

2. Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

Author: Aamir, M., Acar, B., Adamov, G., Adams, T., Adloff, C., Afanasiev, S., Agrawal, C., Ahmad, A., Ahmed, H. A., Akbar, S., Akchurin, N., Akgul, B., Akgun, B., Akpinar, R. O., Aktas, E., AlKadhim, A., Alexakhin, V., Alimena, J., Alison, J., Alpana, A., Alshehri, W., Dominguez, P. Alvarez, Alyari, M., Amendola, C., Amir, R. B., Andersen, S. B., Andreev, Y., Antoszczuk, P. D., Aras, U., Ardila, L., Aspell, P., Avila, M., Awad, I., Aydilek, O., Azimi, Z., Pretel, A. Aznar, Bach, O. A., Bainbridge, R., Bakshi, A., Bam, B., Banerjee, S., Barney, D., Bayraktar, O., Beaudette, F., Beaujean, F., Becheva, E., Behera, P. K., Belloni, A., Bergauer, T., Besancon, M., Bylund, O. Bessidskaia, Bhatt, L., Bhowmil, D., Blekman, F., Blinov, P., Bloch, P., Bodek, A., Boger, a., Bonnemaison, A., Bouyjou, F., Brennan, L., Brondolin, E., Brusamolino, A., Bubanja, I., Perraguin, A. Buchot, Bunin, P., Misura, A. Burazin, Butler-nalin, A., Cakir, A., Callier, S., Campbell, S., Canderan, K., Cankocak, K., Cappati, A., Caregari, S., Carron, S., Carty, C., Cauchois, A., Ceard, L., Cerci, S., Chang, P. J., Chatterjee, R. M., Chatterjee, S., Chattopadhyay, P., Chatzistavrou, T., Chaudhary, M. S., Chauhan, A., Chen, J. A., Chen, J., Chen, Y., Cheng, K., Cheung, H., Chhikara, J., Chiron, A., Chiusi, M., Chokheli, D., Chudasama, R., Clement, E., Mendez, S. Coco, Coko, D., Coskun, K., Couderc, F., Crossman, B., Cui, Z., Cuisset, T., Cummings, G., Curtis, E. M., D'Alfonso, M., D-hler-ball, J., Dadazhanova, O., Damgov, J., Das, I., DasGupta, S., Dauncey, P., Mendes, A. David Tinoco, Davies, G., Davignon, O., DeLa, P. deBarbaroC., DeSilva, M., DeWit, A., Debbins, P., Defranchis, M. M., Delagnes, E., Devouge, P., Dewangan, C., DiGuglielmo, G., Diehl, L., Dilsiz, K., Dincer, G. G., Dittmann, J., Dragicevic, M., Du, D., Dubinchik, B., Dugad, S., Dulucq, F., Dumanoglu, I., Duran, B., Dutta, S., Dutta, V., Dychkant, A., Dünser, M., Edberg, T., Ehle, I. T., Berni, A. El, Elias, F., Eno, S. C., Erdogan, E. N., Erkmen, B., Ershov, Y., Ertorer, E. Y., Extier, S., Eychenne, L., Fedar, Y. E., Fedi, G., De Almeida, J. P. Figueiredo De De Sá Sousa, Alves, B. A. Fontana Santos Santos, Frahm, E., Francis, K., Freeman, J., French, T., Gaede, F., Gandhi, P. K., Ganjour, S., Garcia-Bellido, A., Gastaldi, F., Gazi, L., Gecse, Z., Gerwig, H., Gevin, O., Ghosh, S., Gill, K., Gleyzer, S., Godinovic, N., Goek, M., Goettlicher, P., Goff, R., Golunov, A., Gonultas, B., Martínez, J. D. González, Gorbounov, N., Gouskos, L., Gray, A., Gray, L., Grieco, C., Groenroos, S., Groner, D., Gruber, A., Grummer, A., Grönroos, S., Guilloux, F., Guler, Y., Gungordu, A. D., Guo, J., Guo, K., Guler, E. Gurpinar, Gutti, H. K., Guvenli, A. A., Gülmez, E., Hacisahinoglu, B., Halkin, Y., Machado, G. Hamilton Ilha, Hare, H. S., Hatakeyama, K., Heering, A. H., Hegde, V., Heintz, U., Hinton, N., Hinzmann, A., Hirschauer, J., Hitlin, D., Hos, İ., Hou, B., Hou, X., Howard, A., Howe, C., Hsieh, H., Hsu, T., Hua, H., Hummer, F., Imran, M., Incandela, J., Iren, E., Isildak, B., Jackson, P. S., Jackson, W. J., Jain, S., Jana, P., Jaroslavceva, J., Jena, S., Jige, A., Jordano, P. P., Joshi, U., Kaadze, K., Kafizov, A., Kalipoliti, L., Tharayil, A. Kallil, Kaluzinska, O., Kamble, S., Kaminskiy, A., Kanemura, M., Kanso, H., Kao, Y., Kapic, A., Kapsiak, C., Karjavine, V., Karmakar, S., Karneyeu, A., Kaya, M., Topaksu, A. Kayis, Kaynak, B., Kazhykarim, Y., Khan, F. A., Khudiakov, A., Kieseler, J., Kim, R. S., Klijnsma, T., Kloiber, E. G., Klute, M., Kocak, Z., Kodali, K. R., Koetz, K., Kolberg, T., Kolcu, O. B., Komaragiri, J. R., Komm, M., Kopsalis, I., Krause, H. A., Krawczyk, M. A., Vinayakam, T. R. Krishnaswamy, Kristiansen, K., Kristic, A., Krohn, M., Kronheim, B., Krüger, K., Kudtarkar, C., Kulis, S., Kumar, M., Kumar, N., Kumar, S., Verma, R. Kumar, Kunori, S., Kunts, A., Kuo, C., Kurenkov, A., Kuryatkov, V., Kyre, S., Ladenson, J., Lamichhane, K., Landsberg, G., Langford, J., Laudrain, A., Laughlin, R., Lawhorn, J., Dortz, O. Le, Lee, S. W., Lektauers, A., Lelas, D., Leon, M., Levchuk, L., Li, A. J., Li, J., Li, Y., Liang, Z., Liao, H., Lin, K., Lin, W., Lin, Z., Lincoln, D., Linssen, L., Litomin, A., Liu, G., Liu, Y., Lobanov, A., Lohezic, V., Loiseau, T., Lu, C., Lu, R., Lu, S. Y., Lukens, P., Mackenzie, M., Magnan, A., Magniette, F., Mahjoub, A., Mahon, D., Majumder, G., Makarenko, V., Malakhov, A., Malgeri, L., Mallios, S., Mandloi, C., Mankel, A., Mannelli, M., Mans, J., Mantilla, C., Martinez, G., Massa, C., Masterson, P., Matthewman, M., Matveev, V., Mayekar, S., Mazlov, I., Mehta, A., Mestvirishvili, A., Miao, Y., Milella, G., Mirza, I. R., Mitra, P., Moccia, S., Mohanty, G. B., Monti, F., Moortgat, F., Murthy, S., Music, J., Musienko, Y., Nabili, S., Nayak, S., Nelson, J. W., Nema, A., Neutelings, I., Niedziela, J., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Obraztsov, S., Ochando, C., Ogul, H., Olsson, J., Onel, Y., Ozkorucuklu, S., Paganis, E., Palit, P., Pan, R., Pandey, S., Pantaleo, F., Papageorgakis, C., Paramesvaran, S., Paranjpe, M. M., Parolia, S., Parsons, A. G., Parygin, P., Paulini, M., Paus, C., Peñaló, K., Pedro, K., Pekic, V., Peltola, T., Peng, B., Perego, A., Perini, D., Petrilli, A., Pham, H., Pierre-Emile, T., Podem, S. K., Popov, V., Portales, L., Potok, O., Pradeep, P. B., Pramanik, R., Prosper, H., Prvan, M., Qasim, S. R., Qu, H., Quast, T., Trivino, A. Quiroga, Rabour, L., Raicevic, N., Rajpoot, H., Rao, M. A., Rapacz, K., Redjeb, W., Reinecke, M., Revering, M., Roberts, A., Rohlf, J., Rosado, P., Rose, A., Rothman, S., Rout, P. K., Rovere, M., Rumerio, P., Rusack, R., Rygaard, L., Ryjov, V., Sadivnycha, S., Sahin, M. Ö., Sakarya, U., Salerno, R., Saradhy, R., Saraf, M., Sarbandi, K., Sarkisla, M. A., Satyshev, I., Saud, N., Sauvan, J., Schindler, G., Schmidt, A., Schmidt, I., Schmitt, M. H., Sculac, A., Sculac, T., Sedelnikov, A., Seez, C., Sefkow, F., Selivanova, D., Selvaggi, M., Sergeychik, V., Sert, H., Shahid, M., Sharma, P., Sharma, R., Sharma, S., Shelake, M., Shenai, A., Shih, C. W., Shinde, R., Shmygol, D., Shukla, R., Sicking, E., Silva, P., Simsek, C., Simsek, E., Sirasva, B. K., Sirois, Y., Song, S., Song, Y., Soudais, G., Sriram, S., StJacques, R. R., StahlLeiton, A. G., Steen, A., Stein, J., Strait, J., Strobbe, N., Su, X., Sukhov, E., Suleiman, A., Cerci, D. Sunar, Suryadevara, P., Swain, K., Syal, C., Tali, B., Tanay, K., Tang, W., Tanvir, A., Tao, J., Tarabini, A., Tatli, T., Taylor, R., Taysi, Z. C., Teafoe, G., Tee, C. Z., Terrill, W., Thienpont, D., Thomas, R., Titov, M., Todd, C., Todd, E., Toms, M., Tosun, A., Troska, J., Tsai, L., Tsamalaidze, Z., Tsionou, D., Tsipolitis, G., Tsirigoti, M., Tu, R., Polat, S. N. Tural, Undleeb, S., Usai, E., Uslan, E., Ustinov, V., Vernazza, E., Viahin, O., Viazlo, O., Vichoudis, P., Vijay, A., Virdee, T., Voirin, E., Vojinovic, M., Voytishin, N., Vámi, T. Á., Wade, A., Walter, D., Wang, C., Wang, F., Wang, J., Wang, K., Wang, X., Wang, Y., Wang, Z., Wanlin, E., Wayne, M., Wetzel, J., Whitbeck, A., Wickwire, R., Wilmot, D., Wilson, J., Wu, H., Xiao, M., Yang, J., Yazici, B., Ye, Y., Yetkin, T., Yi, R., Yohay, R., Yu, T., Yuan, C., Yuan, X., Yuksel, O., YushmanoV, I., Yusuff, I., Zabi, A., Zareckis, D., Zarubin, A., Zehetner, P., Zghiche, A., Zhang, C., Zhang, D., Zhang, H., Zhang, J., Zhang, Z., Zhao, X., Zhong, J., Zhou, Y., and Zorbilmez, Ç.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transverse and longitudinal granularity. The active media are silicon sensors and scintillator tiles readout by SiPMs and the absorbers are a combination of lead and Cu/CuW in the electromagnetic section, and steel in the hadronic section. The shower reconstruction method is based on graph neural networks and it makes use of a dynamic reduction network architecture. It is shown that the algorithm is able to capture and mitigate the main effects that normally hinder the reconstruction of hadronic showers using classical reconstruction methods, by compensating for fluctuations in the multiplicity, energy, and spatial distributions of the shower's constituents. The performance of the algorithm is evaluated using test beam data collected in 2018 prototype of the CMS HGCAL accompanied by a section of the CALICE AHCAL prototype. The capability of the method to mitigate the impact of energy leakage from the calorimeter is also demonstrated., Comment: Prepared for submission to JINST
Published: 2024

3. Global-in-time energy stability: a powerful analysis tool for the gradient flow problem without maximum principle or Lipschitz assumption

Author: Sun, J., Wang, H., Zhang, H., Qian, X., and Song, S.
Subjects: Mathematics - Numerical Analysis
Abstract: Before proving (unconditional) energy stability for gradient flows, most existing studies either require a strong Lipschitz condition regarding the non-linearity or certain $L^{\infty}$ bounds on the numerical solutions (the maximum principle). However, proving energy stability without such premises is a very challenging task. In this paper, we aim to develop a novel analytical tool, namely global-in-time energy stability, to demonstrate energy dissipation without assuming any strong Lipschitz condition or $L^{\infty}$ boundedness. The fourth-order-in-space Swift-Hohenberg equation is used to elucidate the theoretical results in detail. We also propose a temporal second-order accurate scheme for efficiently solving such a strongly stiff equation. Furthermore, we present the corresponding optimal $L^2$ error estimate and provide several numerical simulations to demonstrate the dynamics.
Published: 2024

4. The Effect of Quantization in Federated Learning: A R\'enyi Differential Privacy Perspective

Author: Kang, Tianqu, Liu, Lumin, He, Hengtao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract: Federated Learning (FL) is an emerging paradigm that holds great promise for privacy-preserving machine learning using distributed data. To enhance privacy, FL can be combined with Differential Privacy (DP), which involves adding Gaussian noise to the model weights. However, FL faces a significant challenge in terms of large communication overhead when transmitting these model weights. To address this issue, quantization is commonly employed. Nevertheless, the presence of quantized Gaussian noise introduces complexities in understanding privacy protection. This research paper investigates the impact of quantization on privacy in FL systems. We examine the privacy guarantees of quantized Gaussian mechanisms using R\'enyi Differential Privacy (RDP). By deriving the privacy budget of quantized Gaussian mechanisms, we demonstrate that lower quantization bit levels provide improved privacy protection. To validate our theoretical findings, we employ Membership Inference Attacks (MIA), which gauge the accuracy of privacy leakage. The numerical results align with our theoretical analysis, confirming that quantization can indeed enhance privacy protection. This study not only enhances our understanding of the correlation between privacy and communication in FL but also underscores the advantages of quantization in preserving privacy., Comment: 6 pages, 5 figures, submitted to 2024 IEEE MeditCom
Published: 2024

5. Hidden domain boundary dynamics towards crystalline perfection

Author: Mangu, A., Stoica, V. A., Zheng, H., Yang, T., Zhang, M., Wang, H., Nguyen, Q. L., Song, S., Das, S., Meisenheimer, P., Donoway, E., Chollet, M., Sun, Y., Turner, J. J., Freeland, J. W., Wen, H., Martin, L. W., Chen, L. -Q., Gopalan, V., Zhu, D., Cao, Y., and Lindenberg, A. M.
Subjects: Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: A central paradigm of non-equilibrium physics concerns the dynamics of heterogeneity and disorder, impacting processes ranging from the behavior of glasses to the emergent functionality of active matter. Understanding these complex mesoscopic systems requires probing the microscopic trajectories associated with irreversible processes, the role of fluctuations and entropy growth, and the timescales on which non-equilibrium responses are ultimately maintained. Approaches that illuminate these processes in model systems may enable a more general understanding of other heterogeneous non-equilibrium phenomena, and potentially define ultimate speed and energy cost limits for information processing technologies. Here, we apply ultrafast single shot x-ray photon correlation spectroscopy to resolve the non-equilibrium, heterogeneous, and irreversible mesoscale dynamics during a light-induced phase transition. This approach defines a new way of capturing the nucleation of the induced phase, the formation of transient mesoscale defects at the boundaries of the nuclei, and the eventual annihilation of these defects, even in systems with complex polarization topologies. A non-equilibrium response spanning >10 orders of magnitude in timescales is observed, with multistep behavior similar to the plateaus observed in supercooled liquids and glasses. We show how the observed time-dependent long-time correlations can be understood in terms of the stochastic dynamics of domain walls, encoded in effective waiting-time distributions with power-law tails. This work defines new possibilities for probing the non-equilibrium and correlated dynamics of disordered and heterogeneous media.
Published: 2024

6. Design, Synthesis, Antifungal and Antibacterial Activities of Novel Difluoromethyl Pyrazole Derivatives

Author: Xu, H., Yu, L., Tan, B., Song, S., Wu, S., Tan, S., Li, P., and Mu, B.
Published: 2024
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7. Design, Synthesis, and Bioassay Evaluation of Novel 4-Chromanone-Derived Compounds Incorporating Acylhydrazone Moiety

Author: Li, P., Song, S., Yang, M., Yu, L., Tang, C., and Wang, X.
Published: 2024
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8. J-Shaped Relationship Between Weight-Adjusted-Waist Index and Cardiovascular Disease Risk in Hypertensive Patients with Obstructive Sleep Apnea: A Cohort Study

Author: Zhao J, Cai X, Hu J, Song S, Zhu Q, Shen D, Yang W, Luo Q, Yao X, Zhang D, Hong J, and Li N
Subjects: hypertensive, obstructive sleep apnea, weight-adjusted-waist index, cardiovascular disease, visceral obesity, Specialties of internal medicine, RC581-951
Abstract: Jianwen Zhao,1– 5,&ast; Xintian Cai,1– 5,&ast; Junli Hu,1– 5 Shuaiwei Song,1– 5 Qing Zhu,1– 5 Di Shen,1– 5 Wenbo Yang,1– 5 Qin Luo,1– 5 Xiaoguang Yao,1– 5 Delian Zhang,1– 5 Jing Hong,1– 5 Nanfang Li1– 5 1Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People’s Republic of China; 2Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People’s Republic of China; 3NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People’s Republic of China; 4Key Laboratory of Xinjiang Uygur Autonomous Region ”Hypertension Research Laboratory”, Urumqi, Xinjiang, 830001, People’s Republic of China; 5Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Nanfang Li, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, No. 91 Tianchi Road, Urumuqi, Xinjiang, 830001, People’s Republic of China, Tel +86 8564818, Email lnanfang2016@sina.comBackground: A newly introduced obesity-related index, the weight-adjusted-waist index (WWI), emerges as a promising predictor of cardiovascular disease (CVD). Given the known synergistic effects of hypertension and obstructive sleep apnea (OSA) on cardiovascular risk, we aimed to explore the relationship between the WWI and CVD risk specifically within this high-risk cohort.Methods: A total of 2265 participants with hypertension and OSA were included in the study. Multivariate Cox regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD events. The restricted cubic spline (RCS) was used to further evaluate the nonlinear dose-response relationship.Results: During a median follow-up period of 6.8 years, 324 participants experienced a CVD event. Multivariate Cox regression analysis revealed that compared to the reference group, the HRs for the second, third, and fourth groups were 1.12 (95% CI, 0.79– 1.59), 1.35 (95% CI, 0.96– 1.89), and 1.58 (95% CI, 1.13– 2.22), respectively. Moreover, RCS analysis illustrated a clear J-shaped relationship between the WWI and CVD risk, particularly notable when WWI exceeded 11.5 cm/, signifying a significant increase in CVD risk.Conclusion: There was a J-shaped relationship between WWI and CVD in hypertensive patients with OSA, especially when the WWI was greater than 11.5 cm/, the risk of CVD was significantly increased.Keywords: hypertensive, obstructive sleep apnea, weight-adjusted-waist index, cardiovascular disease, visceral obesity
Published: 2024

9. Study of the Epidemiological and Mechanistic Differences Between Carbapenem-Resistant Klebsiella pneumoniae Infections in Children and Adults

Author: Zhou J, Song S, Xue S, Zhu Y, Xu B, Ma P, Lv Y, and Kang H
Subjects: children, adults, klebsiella pneumoniae, carbapenemases, drug resistance mechanisms., Infectious and parasitic diseases, RC109-216
Abstract: Jiajia Zhou,1,2,&ast; Shuang Song,2,3,&ast; Senlin Xue,2 Yingxing Zhu,3 Boyin Xu,4 Ping Ma,2,3 Yanguan Lv,1 Haiquan Kang2,3 1The Huai’an Maternity and Child Clinical College of Xuzhou Medical University, Huai’an, People’s Republic of China; 2Medical Technology School, Xuzhou Medical University, Xuzhou, People’s Republic of China; 3Department of Clinical Laboratory, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of China; 4Department of Infection Control, Affiliated Hospital of Nantong University, Nantong, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Haiquan Kang, Department of Clinical Laboratory, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, People’s Republic of China, Tel +86-516 85802759, Email hqk811029@163.com Yanguan Lv, The Huai’an Maternity and Child Clinical College of Xuzhou Medical University, Huai’an, 223001, People’s Republic of China, Tel +86-517 89687770, Email lvyanguan@163.comBackground: The emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP) has garnered international concern due to its significant antibiotic resistance. Notably, children exhibit distinct resistance mechanisms compared to adults, necessitating a differential approach to antibiotic selection. A thorough analysis of CRKP’s epidemiology and drug resistance mechanisms is essential for establishing a robust foundation for clinical anti-infection strategies and precise prevention and control measures.Methods: This study involved the collection of 31 non-repetitive strains from pediatric and adult patients at a tertiary hospital in China, spanning from July 2016 to July 2022, testing for resistance genes, antimicrobial susceptibility, and homology analysis.Results: Infants (0– 1 year) were the largest pediatric CRKP group, with 61.3% of cases. The neonatal intensive care unit (NICU) and pediatrics were the main departments affected. Adults with CRKP had a mean age of 67 years, with the highest prevalence in neurology and emergency ICU. Antimicrobial susceptibility testing revealed that adult CRKP strains exhibited higher resistance to amikacin, ciprofloxacin, cotrimoxazole, and aztreonam compared to pediatric strains. Conversely, pediatric strains showed a higher rate of resistance to ceftazidime/avibactam. The predominant resistance genes identified were blaNDM-5 in children (58.1%) and blaKPC-2 in adults (87.1%), with over 93% of both groups testing positive for extended-spectrum beta-lactamase (ESBL) genes. Multilocus Sequence Typing (MLST) indicated ST2735 and ST11 as the predominant types in children and adults, respectively. Pulsed-field gel electrophoresis (PFGE) identified clonal transmission patterns of ST11 blaKPC-2 and ST15 blaOXA-232 across both age groups. Notably, this study reports the first instance of ST1114-type CRKP co-producing blaNDM-5 and blaOXA-181 in the NICU.Conclusion: This study reveals distinct resistance mechanisms and epidemiology in CRKP from children and adults. The identified clonal transmission patterns emphasize the need for improved infection control to prevent the spread of resistant strains.Keywords: children, adults, Klebsiella pneumoniae, carbapenemases, drug resistance mechanisms
Published: 2024

10. Effectiveness of Spironolactone in Reducing Osteoporosis and Future Fracture Risk in Middle-Aged and Elderly Hypertensive Patients

Author: Song S, Cai X, Hu J, Zhu Q, Shen D, Ma H, Zhang Y, Ma R, Yang W, Hong J, Zhang D, and Li N
Subjects: hypertensive, spironolactone, aldosterone, osteoporosis, frax score, Therapeutics. Pharmacology, RM1-950
Abstract: Shuaiwei Song,1– 5,&ast; Xintian Cai,1– 5,&ast; Junli Hu,1– 5 Qing Zhu,1– 5 Di Shen,1– 5 Huimin Ma,1– 5 Yingying Zhang,1– 5 Rui Ma,1– 5 Wenbo Yang,1– 5 Jing Hong,1– 5 Delian Zhang,1– 5 Nanfang Li1– 5 1Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People’s Republic of China; 2Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People’s Republic of China; 3NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, 830001, People’s Republic of China; 4Key Laboratory of Xinjiang Uygur Autonomous Region ”Hypertension Research Laboratory”, Urumqi, Xinjiang, 830001, People’s Republic of China; 5Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Nanfang Li, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, No. 91 Tianchi Road, Urumqi, Xinjiang, 830001, People’s Republic of China, Tel +86 8,564,818, Email lnanfang2016@sina.comObjective: While the role of aldosterone in bone metabolism is well established, the specific effects of the widely used aldosterone antagonist, spironolactone, on bone health are not fully understood. This study aimed to investigate the effects of spironolactone on osteoporosis and future fracture risk in middle-aged and elderly hypertensive patients, revealing its potential benefits for bone health.Methods: Propensity score matching was employed in this study to create matched groups of spironolactone users and non-users at a 1:4 ratio. We investigated the association between spironolactone use and the risk of osteoporosis using multivariate logistic regression analysis. Furthermore, we conducted multivariate linear regression analysis to explore the relationship between cumulative dosage and the FRAX score. Subgroup analysis was also performed to assess the effects under different stratification conditions.Results: In both pre-match and post-match analyses, multivariable logistic regression revealed a significant reduction in the risk of osteoporosis in the spironolactone usage group (pre-match: odds ratios [OR] 0.406, 95% confidence interval [CI], 0.280– 0.588; post-match: OR 0.385, 95% CI, 0.259– 0.571). Furthermore, post-match multivariable linear regression demonstrated a clear negative correlation between cumulative spironolactone dosage and the FRAX score. Subgroup analyses consistently supported these findings.Conclusion: This study offers evidence supporting the significant positive impact of the antihypertensive drug spironolactone on bone health, resulting in a substantial reduction in the risk of osteoporosis and future fractures in hypertensive patients. Future research should consider conducting large-scale, multicenter, randomized controlled trials to further investigate the long-term effects of spironolactone on bone health in hypertensive patients.Keywords: hypertensive, spironolactone, aldosterone, osteoporosis, FRAX score
Published: 2024

11. Client Selection for Federated Policy Optimization with Environment Heterogeneity

Author: Xie, Zhijie and Song, S. H.
Subjects: Computer Science - Machine Learning
Abstract: The development of Policy Iteration (PI) has inspired many recent algorithms for Reinforcement Learning (RL), including several policy gradient methods that gained both theoretical soundness and empirical success on a variety of tasks. The theory of PI is rich in the context of centralized learning, but its study under the federated setting is still in the infant stage. This paper investigates the federated version of Approximate PI (API) and derives its error bound, taking into account the approximation error introduced by environment heterogeneity. We theoretically prove that a proper client selection scheme can reduce this error bound. Based on the theoretical result, we propose a client selection algorithm to alleviate the additional approximation error caused by environment heterogeneity. Experiment results show that the proposed algorithm outperforms other biased and unbiased client selection methods on the federated mountain car problem and the Mujoco Hopper problem by effectively selecting clients with a lower level of heterogeneity from the population distribution.
Published: 2023

12. Study on the Design Method of Urban Renewal Based on Carbon Emissions and Carbon Sinks Calculation: A Case Study of Environmental Improvement Project of Suzhou Industrial Investment Science and Technology Innovation Park

Author: Zhang, L., Cai, Y. Q., Song, S. D., Sun, L. L., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Papadikis, Konstantinos, editor, Zhang, Cheng, editor, Tang, Shu, editor, Liu, Engui, editor, and Di Sarno, Luigi, editor
Published: 2024
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13. Performance assessment of helicon wave heating and current drive in EXL-50 spherical torus plasmas

Author: Qiao, G. J., Luo, D., Song, S. D., Dong, J. Q., Shi, Y. J., Li, J. C., Du, D., Peng, Y. K. Martin, Liu, M. S., and team, EXL-50
Subjects: Physics - Plasma Physics
Abstract: Analysis of helicon wave heating and current drive capability in EXL-50 spherical torus plasmas has been conducted. It is found that the driven current increases with the launched parallel refractive index $n_{||}$ and peaks around $n_{||} = 4.0$ when the frequency of the helicon wave is between 300~MHz and 380~MHz. The helicon wave current drive efficiency shows a relatively stable upward trend with increasing plasma temperature. Moreover, the driven current decreases as the plasma density increases. We also analyzed the current drive with helicon waves of 150~MHz and 170~MHz and found that the driven current at a lower frequency was lower than that at a higher frequency. A positive proportional relationship exists between the driven current and $n_{||}$. Besides, as $n_{||}$ increases, the profile of the driven current becomes wider. Finally, the effect of the scrape-off layer (SOL) region on the helicon wave current drive was also investigated.
Published: 2022

14. The Application of 2d Mxene Nanosheet -Based Thermosensitive Gel Delivery System Loaded with Cisplatin and Imiquimod for Lung Cancer

Author: Ma Y, Jiang T, Zhang R, Liu F, Song S, Zhang H, Huang J, and He Z
Subjects: 2d mxene, drug delivery system, hydrogel, lung cancer, Medicine (General), R5-920
Abstract: Yuwei Ma,1,2,&ast; Tao Jiang,1,2,&ast; Rong Zhang,1 Fei Liu,3 Shilong Song,1,2 Huijun Zhang,4 Jingwen Huang,1 Zelai He1,2 1The First Affiliated Hospital of Bengbu Medical University & Tumor Hospital Affiliated to Bengbu Medical University, Bengbu, 233004, People’s Republic of China; 2Department of Radiation Oncology, the First Affiliated Hospital of Bengbu Medical University & Tumor Hospital Affiliated to Bengbu Medical University, Bengbu, 233004, People’s Republic of China; 3Anhui Province Key Laboratory of Clinical and Preclinical Research in Respiratory Disease, Molecular Diagnosis Center, Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Bengbu Medical University, Bengbu, 233004, People’s Republic of China; 4Department of Cardiothoracic Surgery, Huashan Hospital of Fudan University, Shanghai, 200040, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zelai He; Jingwen Huang, Email hezelai@alumni.sjtu.edu.cn; he.ze.lai@163.com; byyfyhjw@163.comIntroduction: Lung cancer’s high incidence and dismal prognosis with traditional treatments like surgery and radiotherapy necessitate innovative approaches. Despite advancements in nanotherapy, the limitations of single-treatment modalities and significant side effects persist. To tackle lung cancer effectively, we devised a temperature-sensitive hydrogel-based local injection system with near-infrared triggered drug release. Utilizing 2D MXene nanosheets as carriers loaded with R837 and cisplatin (DDP), encapsulated within a temperature-sensitive hydrogel-forming PEG-MXene@DDP@R837@SHDS (MDR@SHDS), we administered in situ injections of MDR@SHDS into tumor tissues combined with photothermal therapy (PTT). The immune adjuvant R837 enhances dendritic cell (DC) maturation and tumor cell phagocytosis, while PTT induces tumor cell apoptosis and necrosis by converting light energy into heat energy.Methods: Material characterization employed transmission electron microscopy, X-ray photoelectron spectroscopy, phase transition temperature, and near-infrared thermography. In vitro experiments assessed Lewis cell proliferation and apoptosis using CCK-8, Edu, and TUNEL assays. In vivo experiments on C57 mouse Lewis transplant tumors evaluated the photothermal effect via near-infrared thermography and assessed DC maturation and CD4+/CD8+ T cell ratios using flow cytometry. The in vivo anti-tumor efficacy of MDR@SHDS was confirmed by tumor growth curve recording and HE and TUNEL staining of tumor sections.Results: The hydrogel exhibited excellent temperature sensitivity, controlled release properties, and high biocompatibility. In vitro experiments revealed that MDR@SHDS combined with PTT had a greater inhibitory effect on tumor cell proliferation compared to MDR@SHD alone. Combining local immunotherapy, chemotherapy, and PTT yielded superior anti-tumor effects than individual treatments.Conclusion: MDR@SHDS, with its simplicity, biocompatibility, and enhanced anti-tumor effects in combination with PTT, presents a promising therapeutic approach for lung cancer treatment, offering potential clinical utility.Keywords: 2D Mxene, drug delivery system, hydrogel, lung cancer
Published: 2024

15. Progress in the Study of the Role and Mechanism of HTRA1 in Diseases Related to Vascular Abnormalities

Author: Song S, Li X, Xue X, Dong W, and Li C
Subjects: htra1, vascular anomalies, cerebral small vessel disease, amd, tumor, Medicine (General), R5-920
Abstract: Shina Song,1,2 Xiaofeng Li,1 Xuting Xue,3 Wenping Dong,2 Changxin Li1 1Department of Neurology, The First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 2Department of Geriatrics, General Hospital of TISCO, Taiyuan, People’s Republic of China; 3Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, The First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of ChinaCorrespondence: Wenping Dong, Department of Geriatrics, General Hospital of TISCO, North Street, Xinhualing District, Taiyuan, Shanxi Province, 030009, People’s Republic of China, Tel +86 13703581782, Email tgzyydwp@163.com Changxin Li, Department of Neurology, The First Hospital of Shanxi Medical University, Jiefangnan Road 85, Taiyuan, Shanxi Province, 030001, People’s Republic of China, Tel +86 13834635428, Email dslcxyx@126.comAbstract: High temperature requirement A1 (HTRA1) is a member of the serine protease family, comprising four structural domains: IGFBP domain, Kazal domain, protease domain and PDZ domain. HTRA1 encodes a serine protease, a secreted protein that is widely expressed in the vasculature. HTRA1 regulates a wide range of physiological processes through its proteolytic activity, and is also involved in a variety of vascular abnormalities-related diseases. This article reviews the role of HTRA1 in the development of vascular abnormalities-related hereditary cerebral small vessel disease (CSVD), age-related macular degeneration (AMD), tumors and other diseases. Through relevant research advances to understand the role of HTRA1 in regulating signaling pathways or refolding, translocation, degradation of extracellular matrix (ECM) proteins, thus directly or indirectly regulating angiogenesis, vascular remodeling, and playing an important role in vascular homeostasis, further understanding the mechanism of HTRA1’s role in vascular abnormality-related diseases is important for HTRA1 to be used as a therapeutic target in related diseases.Keywords: HTRA1, vascular anomalies, cerebral small vessel disease, AMD, tumor
Published: 2024

16. Extensive Stage Small-Cell Lung Cancer with Cystic Brain Metastases: A Report of Two Cases

Author: Cai F, Wu D, Liu J, Song S, Li J, Zheng Z, and Xu L
Subjects: es-sclc, immunotherapy, cystic bms, cross-line immunotherapy, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Fei Cai,1,2,&ast; Di Wu,3,&ast; Junling Liu,1 Shuxi Song,1 Jingyu Li,1 Zhendong Zheng,1 Long Xu1 1Department of Oncology, General Hospital of Northern Theater Command, Shenyang, Liaoning, People’s Republic of China; 2Beifang Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 3Department of Diagnostic Radiology, General Hospital of Northern Theater Command, Shenyang, Liaoning, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhendong Zheng; Long Xu, Department of Oncology, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110000, People’s Republic of China, Email gcp_zzd@sina.com; doctorxul@163.comObjective: Cystic brain metastases (BMs) are rare in small cell lung cancer (SCLC), and there are limited data on the treatment and prognosis of cystic BMs. Whole brain radiotherapy has been the mainstay for BMs since several years. Immune checkpoint inhibitors in extensive stage small cell lung cancer (ES-SCLC) have been shown to be suitable for patients who experienced better overall survival and progress-free survival and have been approved as the first-line treatment for ES-SCLC. In this report, we described two ES-SCLC patients developed cystic BMs after immunotherapy, after which the patients continued to treat the primary lesion with immune checkpoint inhibitors and the cystic BMs with radiotherapy.Case Description: Two male patients were diagnosed with ES-SCLC at the first admission and were subsequently treated with immunotherapy plus platinum therapy, during which cystic BMs developed. One patient received whole brain radiotherapy and the other received whole brain radiotherapy and Gamma knife radiosurgery (GKRS). Immunotherapy was continued after the brain lesions were controlled. It has been 33 months since the first patient was diagnosed and is now in stable condition. The other patient achieved an overall survival of 30 months.Conclusion: This report describes two patients with cystic brain metastases in ES-SCLC. Whole brain radiotherapy has a good effect on local control of cystic brain metastases in small cell lung cancer and can significantly improve the symptoms of patients. At the same time, we treat immunotherapy as the first-line treatment, and then perform cross-immunotherapy after disease progression, combined with anti-vascular targeting drugs. The patient did not develop severe iRAEs.Keywords: ES-SCLC, immunotherapy, cystic BMs, cross-line immunotherapy
Published: 2024

17. Augmented Deep Unfolding for Downlink Beamforming in Multi-cell Massive MIMO With Limited Feedback

Author: Ma, Yifan, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Information Theory
Abstract: In limited feedback multi-user multiple-input multiple-output (MU-MIMO) cellular networks, users send quantized information about the channel conditions to the associated base station (BS) for downlink beamforming. However, channel quantization and beamforming have been treated as two separate tasks conventionally, which makes it difficult to achieve global system optimality. In this paper, we propose an augmented deep unfolding (ADU) approach that jointly optimizes the beamforming scheme at the BSs and the channel quantization scheme at the users. In particular, the classic WMMSE beamformer is unrolled and a deep neural network (DNN) is leveraged to pre-process its input to enhance the performance. The variational information bottleneck technique is adopted to further improve the performance when the feedback capacity is strictly restricted. Simulation results demonstrate that the proposed ADU method outperforms all the benchmark schemes in terms of the system average rate., Comment: This paper has been accepted by IEEE GLOBECOM, Rio de Janeiro, Brazil, Dec. 2022
Published: 2022

18. Intelligent Reflecting Surface-Aided Maneuvering Target Sensing: True Velocity Estimation

Author: Xie, Lei, Yu, Xianghao, and Song, S. H.
Subjects: Electrical Engineering and Systems Science - Signal Processing
Abstract: Maneuvering target sensing will be an important service of future vehicular networks, where precise velocity estimation is one of the core tasks. To this end, the recently proposed integrated sensing and communications (ISAC) provides a promising platform for achieving accurate velocity estimation. However, with one mono-static ISAC base station (BS), only the radial projection of the true velocity can be estimated, which causes serious estimation error. In this paper, we investigate the estimation of the true velocity of a maneuvering target with the assistance of an intelligent reflecting surface (IRS). We propose an efficient velocity estimation algorithm by exploiting the two perspectives from the BS and IRS to the target. We propose a two-stage scheme where the true velocity can be recovered based on the Doppler frequency of the BS-target link and BS-IRS-target link. Experimental results validate that the true velocity can be precisely recovered and demonstrate the advantage of adding the IRS.
Published: 2022

19. Robotic abdominoperineal resection for T4b rectal cancer using the da Vinci SP platform

Author: Picciariello, A., Kim, H. J., Choi, G.-S., and Song, S. H.
Published: 2023
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20. Precision USPIO-PEG-SLex Nanotheranostic Agent Targeted Photothermal Therapy for Enhanced Anti-PD-L1 Immunotherapy to Treat Immunotherapy Resistance

Author: Li T, Guo L, Li J, Mu X, Liu L, Song S, Luo N, Zhang Q, Zheng B, and Jin G
Subjects: immunotherapy resistance, immune checkpoint blockade, nanotheranostic agent, photothermal therapy, enhancing efficacy, Medicine (General), R5-920
Abstract: Ting Li,1,&ast; Lianshan Guo,2,&ast; Jiaxu Li,3,&ast; Xingyu Mu,4 Lijuan Liu,1 Shulin Song,1 Ningbin Luo,1 Qi Zhang,5 Bin Zheng,1 Guanqiao Jin1 1Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, 530021, People’s Republic of China; 2Department of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, People’s Republic of China; 3Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, College of Chemistry and Materials, Graduate School, Nanning Normal University, Nanning, 530001, People’s Republic of China; 4Department of Nuclear Medicine, Affiliated Hospital of Guilin Medical University, Guilin, 541001, People’s Republic of China; 5Laboratory Animal Center, Guangxi Medical University, Nanning, 530021, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Guanqiao Jin, Email jinguanqiao77@gxmu.edu.cnBackground: The anti-Programmed Death-Ligand 1 (termed aPD-L1) immune checkpoint blockade therapy has emerged as a promising treatment approach for various advanced solid tumors. However, the effect of aPD-L1 inhibitors limited by the tumor microenvironment makes most patients exhibit immunotherapy resistance.Methods: We conjugated the Sialyl Lewis X with a polyethylene glycol-coated ultrasmall superparamagnetic iron oxide (USPIO-PEG) to form UPS nanoparticles (USPIO-PEG-SLex, termed UPS). The physicochemical properties of UPS were tested and characterized. Transmission electron microscopy and ICP-OES were used to observe the cellular uptake and targeting ability of UPS. Flow cytometry, mitochondrial membrane potential staining, live-dead staining and scratch assay were used to verify the in vitro photothermal effect of UPS, and the stimulation of UPS on immune-related pathways at the gene level was analyzed by sequencing. Biological safety analysis and pharmacokinetic analysis of UPS were performed. Finally, the amplification effect of UPS-mediated photothermal therapy on aPD-L1-mediated immunotherapy and the corresponding mechanism were studied.Results: In vitro experiments showed that UPS had strong photothermal therapy ability and was able to stimulate 5 immune-related pathways. In vivo, when the PTT assisted aPD-L1 treatment, it exhibited a significant increase in CD4+ T cell infiltration by 14.46-fold and CD8+ T cell infiltration by 14.79-fold, along with elevated secretion of tumor necrosis factor-alpha and interferon-gamma, comparing with alone aPD-L1. This PTT assisted aPD-L1 therapy achieved a significant inhibition of both primary tumors and distant tumors compared to the alone aPD-L1, demonstrating a significant difference.Conclusion: The nanotheranostic agent UPS has been introduced into immunotherapy, which has effectively broadened its application in biomedicine. This photothermal therapeutic approach of the UPS nanotheranostic agent enhancing the efficacy of aPD-L1 immune checkpoint blockade therapy, can be instructive to address the challenges associated with immunotherapy resistance, thereby offering potential for clinical translation.Keywords: immunotherapy resistance, immune checkpoint blockade, nanotheranostic agent, photothermal therapy, enhancing efficacy
Published: 2024

21. The Association of Hematological Parameters in Early and Middle Pregnancy with the Risk of Gestational Diabetes Mellitus

Author: Duo Y, Song S, Qiao X, Zhang Y, Xu J, Zhang J, Peng Z, Chen Y, Nie X, Sun Q, Yang X, Wang A, Sun W, Fu Y, Dong Y, Lu Z, Yuan T, and Zhao W
Subjects: hematological parameters, gestational diabetes mellitus, inflammation, insulin resistance, prospective study, Specialties of internal medicine, RC581-951
Abstract: Yanbei Duo,1 Shuoning Song,1 Xiaolin Qiao,2 Yuemei Zhang,3 Jiyu Xu,4 Jing Zhang,5 Zhenyao Peng,6 Yan Chen,2 Xiaorui Nie,2 Qiujin Sun,7 Xianchun Yang,7 Ailing Wang,8 Wei Sun,4 Yong Fu,1 Yingyue Dong,1 Zechun Lu,8 Tao Yuan,1,&ast; Weigang Zhao1,&ast; 1Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Obstetrics, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 3Department of Obstetrics, Haidian District Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 4Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Laboratory, Haidian District Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 6Department of Dean’s Office, Haidian District Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 7Department of Clinical Laboratory, Beijing Chaoyang District Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 8National Center for Women and Children’s Health, China CDC, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Tao Yuan; Weigang Zhao, Email t75y@sina.com; xiehezhaoweigang@163.comObjective: Gestational diabetes mellitus (GDM) is a condition of glucose intolerance, which may be accompanied with inflammation. The levels of hematological parameters during pregnancy can reflect inflammatory conditions in pregnant women. This study aims to describe the dynamic change of blood cell parameters from the first trimester (6– 12 weeks of gestation) to the second trimester (24– 28 weeks of gestation) and to investigate the associations of these biomarkers with the risk of GDM.Methods: This study was a prospective double-center study conducted in Beijing, China (clinical trial number: NCT03246295). Hematological parameters were tested four times during the follow-up. Logistic regression analysis and Receiver Operating Characteristic (ROC) curve analysis were used to explore the association and predictive ability of hematological parameters for GDM.Results: There were 258 of 1027 pregnant women in our study developed GDM. Among the 1027 pregnant women, white blood cells (WBC) gradually increased, and red blood cells (RBC), hemoglobin (HGB), and platelet (PLT) tended to decrease from the first trimester to second trimester. After adjusting for confounding factors, higher levels of RBC, HGB, and PLT in both early and middle pregnancy were positively associated with GDM risk, whereas the level of WBC was associated with GDM risk only in early pregnancy. WBC, RBC, HGB, and PLT in early and middle pregnancy were all correlated with fasting insulin (FINS) in early pregnancy.Conclusion: Higher levels of hematological parameters in early and middle pregnancy were associated with glucose metabolism in early pregnancy and the subsequent risk of GDM.Keywords: hematological parameters, gestational diabetes mellitus, inflammation, insulin resistance, prospective study
Published: 2024

22. Application of Multidimensional Quality Management Tools in the Management of Medical Adverse Events

Author: Yuan B, Song S, Tang X, and Ma Z
Subjects: multidimensional quality management tools, adverse events, management system, patient safety, Public aspects of medicine, RA1-1270
Abstract: Bei Yuan, Shibei Song, Xiao Tang, Zhanqiang Ma Medical Department, The Second People’s Hospital of Guizhou Province (Guizhou Province Mental Health Center), Guizhou, Guiyang, 550001, People’s Republic of ChinaCorrespondence: Zhanqiang Ma, Medical Department, The Second People’s Hospital of Guizhou Province (Guizhou Province Mental Health Center), Guizhou, Guiyang, 550001, People’s Republic of China, Tel +86-13017432067, Email 13017432067@163.comPurpose: This study aims to investigate the impact of multidimensional quality management tools in establishing a medical adverse event management system, with the aim of continuously improving medical quality and safety while ensuring patient well-being.Methods: This study introduces risk management theories, such as the “Gray Rhino Theory”, and employs quality management tools like the Plan-Do-Check-Act (PDCA) cycle, Quality Control Circle (QCC), and Root Cause Analysis (RCA), to provide relevant quality management education and training to employees. This approach facilitates the establishment of a medical adverse event management system that encourages reporting and fosters a blame-free reporting culture, while simultaneously implementing quality management across the entire process. The regular utilization of the QCC facilitates ongoing quality improvement. Furthermore, for sentinel events and patient harm incidents with educational values, the study employs the Incident Decision Tree (IDT) to determine appropriate actions. Additionally, the hospital initiates RCA for system-wide improvements, focusing on areas such as management, institutional processes, and environmental aspects. Moreover, an internal medical quality improvement case competition is organized, with outstanding cases being selected to participate in the multidimensional quality management competition organized by the National Quality Management Alliance.Results: The study reveals a significant improvement in employees’ awareness of adverse events, the percentage of employees reporting adverse events increased significantly from 39.15% in 2019 to 49.77% in 2022, P=0.002. Furthermore, the adverse event reporting rate has risen significantly from 2.78% (2019) to 5.96% (2022), P=0.002. Additionally, each department has been able to utilize QCC or RCA tools for quality improvement, thereby further reinforcing the development of a patient safety culture.Conclusion: Multidimensional quality management tools play a crucial role in establishing a hospital’s adverse event management system, promoting continuous improvement in medical quality, ensuring patient safety, and effectively implementing a culture of patient safety.Keywords: multidimensional quality management tools, adverse events, management system, patient safety
Published: 2024

23. Photoplethysmography for Assessing Microcirculation in Hypertensive Patients After Taking Antihypertensive Drugs: A Review

Author: Hu Y, Hu A, and Song S
Subjects: capillary network, microcirculation, hypertension, ppg, arteriovenous anastomosis, Medicine (General), R5-920
Abstract: Yanchun Hu,1 Anming Hu,2 Shenju Song3 1Department of Orthopaedics, the Fifth People’s Hospital of Jinan, Jinan, People’s Republic of China; 2Taishan College, Shandong University, Jinan, People’s Republic of China; 3Department of Nursing, the Fifth People’s Hospital of Jinan, Jinan, People’s Republic of ChinaCorrespondence: Yanchun Hu, Department of Orthopaedics, the Fifth People’s Hospital of Jinan, No. 24297 of Jingshi Road, Jinan, 250022, People’s Republic of China, Tel +86 531 87198016, Email huyanchun@21cn.comAbstract: High blood pressure (BP) is a common disease and is associated with many chronic diseases. Measuring BP is essential for the treatment and management of many diseases, and therefore there is a growing need for a non-invasive, sleeveless and continuous BP monitoring device. With the development of technology, pulse waveform analysis using photoplethysmography (PPG) has become more feasible for evaluating BP. This study aimed to evaluate the changes of vascular elasticity and blood volume over time by using the characteristic parameters extracted by PPG. We reviewed the latest progress and literature on the observation of capillary network characteristics in hypertensive and non-hypertensive patients by PPG, the influence of different drugs on microcirculation characteristics in hypertensive patients with PPG, and further explored the key relationship between microcirculation and hypertension. We found that the PPG waveform produced by the fingertips of hypertensive patients is very different from that of healthy people, and the PPG waveform changes significantly during diastolic period after antihypertensive treatment. With the rapid development of medical technology, people can get more intuitive microcirculation image data, which provides beneficial help for the comprehensive understanding of hypertension.Keywords: capillary network, microcirculation, hypertension, PPG, arteriovenous anastomosis
Published: 2024

24. Enhancing Quantitative Analysis of Xenobiotics in Blood Plasma through Cross-Matrix Calibration and Bayesian Hierarchical Modeling

Author: Nipunika H. Godage, Song S. Qian, Erasmus Cudjoe, and Emanuela Gionfriddo
Subjects: Analytical chemistry, QD71-142
Published: 2023
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25. Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges

Author: Xie, Lei, Song, S. H., Eldar, Yonina C., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: With the development of innovative applications that demand accurate environment information, e.g., autonomous driving, sensing becomes an important requirement for future wireless networks. To this end, integrated sensing and communication (ISAC) provides a promising platform to exploit the synergy between sensing and communication, where perceptive mobile networks (PMNs) were proposed to add accurate sensing capability to existing wireless networks. The well-developed cellular networks offer exciting opportunities for sensing, including large coverage, strong computation and communication power, and most importantly networked sensing, where the perspectives from multiple sensing nodes can be collaboratively utilized for sensing the same target. However, PMNs also face big challenges such as the inherent interference between sensing and communication, the complex sensing environment, and the tracking of high-speed targets by cellular networks. This paper provides a comprehensive review on the design of PMNs, covering the popular network architectures, sensing protocols, standing research problems, and available solutions. Several future research directions that are critical for the development of PMNs are also discussed.
Published: 2022

26. GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection

Author: He, Hengtao, Kosasih, Alva, Yu, Xianghao, Zhang, Jun, Song, S. H., Hardjawana, Wibowo, and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: Efficient massive/ultra-massive multiple-input multiple-output (MIMO) detection algorithms with satisfactory performance and low complexity are critical to meet the high throughput and ultra-low latency requirements in 5G and beyond communications, given the extremely large number of antennas. In this paper, we propose a low-complexity graph neural network (GNN) enhanced approximate message passing (AMP) algorithm, AMP-GNN, for massive/ultra-massive MIMO detection. The structure of the neural network is customized by unfolding the AMP algorithm and introducing the GNN module for multiuser interference cancellation. Numerical results will show that the proposed AMP-GNN significantly improves the performance of the AMP detector and achieves comparable performance as the state-of-the-art deep learning-based MIMO detectors but with reduced computational complexity. Furthermore, it presents strong robustness to the change of the number of users., Comment: 6 pages, 5 figures, Accepted by IEEE WCNC 2023
Published: 2022

27. FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence

Author: Xie, Zhijie and Song, S. H.
Subjects: Computer Science - Machine Learning
Abstract: As a distributed learning paradigm, Federated Learning (FL) faces the communication bottleneck issue due to many rounds of model synchronization and aggregation. Heterogeneous data further deteriorates the situation by causing slow convergence. Although the impact of data heterogeneity on supervised FL has been widely studied, the related investigation for Federated Reinforcement Learning (FRL) is still in its infancy. In this paper, we first define the type and level of data heterogeneity for policy gradient based FRL systems. By inspecting the connection between the global and local objective functions, we prove that local training can benefit the global objective, if the local update is properly penalized by the total variation (TV) distance between the local and global policies. A necessary condition for the global policy to be learn-able from the local policy is also derived, which is directly related to the heterogeneity level. Based on the theoretical result, a Kullback-Leibler (KL) divergence based penalty is proposed, which, different from the conventional method that penalizes the model divergence in the parameter space, directly constrains the model outputs in the distribution space. Convergence proof of the proposed algorithm is also provided. By jointly penalizing the divergence of the local policy from the global policy with a global penalty and constraining each iteration of the local training with a local penalty, the proposed method achieves a better trade-off between training speed (step size) and convergence. Experiment results on two popular Reinforcement Learning (RL) experiment platforms demonstrate the advantage of the proposed algorithm over existing methods in accelerating and stabilizing the training process with heterogeneous data.
Published: 2022
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28. Graph Neural Networks for Wireless Communications: From Theory to Practice

Author: Shen, Yifei, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract: Deep learning-based approaches have been developed to solve challenging problems in wireless communications, leading to promising results. Early attempts adopted neural network architectures inherited from applications such as computer vision. They often yield poor performance in large scale networks (i.e., poor scalability) and unseen network settings (i.e., poor generalization). To resolve these issues, graph neural networks (GNNs) have been recently adopted, as they can effectively exploit the domain knowledge, i.e., the graph topology in wireless communications problems. GNN-based methods can achieve near-optimal performance in large-scale networks and generalize well under different system settings, but the theoretical underpinnings and design guidelines remain elusive, which may hinder their practical implementations. This paper endeavors to fill both the theoretical and practical gaps. For theoretical guarantees, we prove that GNNs achieve near-optimal performance in wireless networks with much fewer training samples than traditional neural architectures. Specifically, to solve an optimization problem on an $n$-node graph (where the nodes may represent users, base stations, or antennas), GNNs' generalization error and required number of training samples are $\mathcal{O}(n)$ and $\mathcal{O}(n^2)$ times lower than the unstructured multi-layer perceptrons. For design guidelines, we propose a unified framework that is applicable to general design problems in wireless networks, which includes graph modeling, neural architecture design, and theory-guided performance enhancement. Extensive simulations, which cover a variety of important problems and network settings, verify our theory and the effectiveness of the proposed design framework.
Published: 2022

29. Communication-Efficient Federated Distillation with Active Data Sampling

Author: Liu, Lumin, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Machine Learning
Abstract: Federated learning (FL) is a promising paradigm to enable privacy-preserving deep learning from distributed data. Most previous works are based on federated average (FedAvg), which, however, faces several critical issues, including a high communication overhead and the difficulty in dealing with heterogeneous model architectures. Federated Distillation (FD) is a recently proposed alternative to enable communication-efficient and robust FL, which achieves orders of magnitude reduction of the communication overhead compared with FedAvg and is flexible to handle heterogeneous models at the clients. However, so far there is no unified algorithmic framework or theoretical analysis for FD-based methods. In this paper, we first present a generic meta-algorithm for FD and investigate the influence of key parameters through empirical experiments. Then, we verify the empirical observations theoretically. Based on the empirical results and theory, we propose a communication-efficient FD algorithm with active data sampling to improve the model performance and reduce the communication overhead. Empirical simulations on benchmark datasets will demonstrate that our proposed algorithm effectively and significantly reduces the communication overhead while achieving a satisfactory performance., Comment: 6 pages, 4 figures, To be appeared in IEEE ICC 2022
Published: 2022

30. Performance Assessment of Helicon Wave Heating and Current Drive in EXL-50 Spherical Torus Plasmas

Author: Qiao, G. J., Luo, D., Song, S. D., Dong, J. Q., Shi, Y. J., Li, Jingchun, Du, D., Peng, Y. K. Martin, and Liu, M. S.
Published: 2023
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31. Enhanced charge density wave with mobile superconducting vortices in La1.885Sr0.115CuO4

Author: Wen, J.-J., He, W., Jang, H., Nojiri, H., Matsuzawa, S., Song, S., Chollet, M., Zhu, D., Liu, Y.-J., Fujita, M., Jiang, J. M., Rotundu, C. R., Kao, C.-C., Jiang, H.-C., Lee, J.-S., and Lee, Y. S.
Published: 2023
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32. Characterization of photoinduced normal state through charge density wave in superconducting YBa$_2$Cu$_3$O$_{6.67}$

Author: Jang, H., Song, S., Kihara, T., Liu, Y., Lee, S. -J., Park, S. -Y., Kim, M., Kim, H. -D., Coslovich, G., Nakata, S., Kubota, Y., Inoue, I., Tamasaku, K., Yabashi, M., Lee, H., Song, C., Nojiri, H., Keimer, B., Kao, C. -C., and Lee, J. -S.
Subjects: Condensed Matter - Superconductivity, Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons
Abstract: The normal state of high-Tc cuprates has been considered one of the essential topics in high-temperature superconductivity research. However, compared to the high magnetic fields study of it, understanding a photoinduced normal state remains elusive. Here, we explore a photoinduced normal state of YBa$_2$Cu$_3$O$_{6.67}$ (YBCO) through a charge density wave (CDW) with time-resolved resonant soft x-ray scattering, as well as a high-magnetic field x-ray scattering. In the non-equilibrium state in which people predict a quenched superconducting state based on the previous optical spectroscopies, we experimentally observed a similar analogy to the competition between superconductivity and CDW shown in the equilibrium state. We further observe that the broken pairing states in the superconducting CuO$_2$ plane via the optical pump lead to nucleation of three-dimensional CDW precursor correlation, revealing that the photoinduced CDW is similar to phenomena shown under magnetic fields. Ultimately, these findings provide a critical clue that the characteristics of the photoinduced normal state show a solid resemblance to those under magnetic fields in equilibrium conditions., Comment: 22 pages, 5 figures and Supplementary Materials with 6 pages, 9 figures
Published: 2022
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33. Sound absorption performance of composite structures from a kind of lightweight ceramic foam with perforated plate

Author: Liu, P.S., Song, S., and Sun, J.X.
Published: 2023
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34. Perceptive Mobile Network with Distributed Target Monitoring Terminals: Leaking Communication Energy for Sensing

Author: Xie, Lei, Wang, Peilan, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: Integrated sensing and communication (ISAC) creates a platform to exploit the synergy between two powerful functionalities that have been developing separately. However, the interference management and resource allocation between sensing and communication have not been fully studied. In this paper, we consider the design of perceptive mobile networks (PMNs) by adding sensing capability to current cellular networks. To avoid the full-duplex operation, we propose the PMN with distributed target monitoring terminals (TMTs) where passive TMTs are deployed over wireless networks to locate the sensing target (ST). We jointly optimize the transmit and receive beamformers towards the communication user terminals (UEs) and the ST by alternating-optimization (AO) and prove its convergence. To reduce computation complexity and obtain physical insights, we further investigate the use of linear transceivers, including zero forcing and beam synthesis (B-syn). Our analysis revealed interesting physical insights regarding interference management and resource allocation between sensing and communication: 1) instead of forming dedicated sensing signals, it is more efficient to redesign the communication signals for both communication and sensing purposes and "leak" communication energy for sensing; 2) the amount of energy leakage from one UE to the ST depends on their relative locations., Comment: This paper has been submitted to the IEEE for possible publication
Published: 2021

35. Capturing potential: Leveraging grass carp behavior Ctenopharyngodon idella for enhanced removal

Author: Acre, Matthew R., Hessler, Tyler M., Bonjour, Sophia M., Roberts, James J., Colborne, Scott F., Brenden, Travis O., Nathan, Lucas R., Broaddus, Dustin W., Vandergoot, Christopher S., Mayer, Christine M., Qian, Song S., Hunter, Robert D., Brown, Ryan E., and Calfee, Robin D.
Published: 2024
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36. Systemic Inflammation Response Index as a Predictor of Stroke Risk in Elderly Patients with Hypertension: A Cohort Study

Author: Cai X, Song S, Hu J, Wang L, Shen D, Zhu Q, Yang W, Luo Q, Hong J, and Li N
Subjects: systemic inflammation response index, stroke, elderly, hypertension, inflammation, cohort study, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Xintian Cai,1,&ast; Shuaiwei Song,1,&ast; Junli Hu,2 Lei Wang,2 Di Shen,1 Qing Zhu,2 Wenbo Yang,2 Qin Luo,2 Jing Hong,2 Nanfang Li2 1Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Nanfang Li, Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, No. 91 Tianchi Road, Urumqi, Xinjiang, 830001, People’s Republic of China, Tel +86 8564818, Email lnanfang2016@sina.comObjective: This study aimed to evaluate the relationship between the systemic inflammation response index (SIRI) and the risk of stroke and its subtypes in elderly patients with hypertension and to explore its predictive accuracy and any potential effect modifiers.Methods: The study included 4749 participants with no history of stroke at baseline. Cox regression was used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CIs). Interaction tests and subgroup analyses were conducted. The predictive performance of various inflammatory indicators for stroke was compared using the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI).Results: During a median follow-up period of 3.2 years, 640 strokes were recorded, of which 526 were ischemic and the remainder hemorrhagic. After adjustment for confounders, compared to the reference group, the HRs (95% CI) of stroke were 1.28 (95% CI, 1.01– 1.64) and 1.46 (95% CI, 1.14– 1.88) for participants in the second and third tertiles, respectively. We observed interactions between SIRI and homocysteine levels (< 15 vs. ≥ 15 μmol/L) (p for interaction = 0.014) on ischemic stroke risk. Furthermore, the AUC, NRI, and IDI analyses demonstrated that SIRI exhibited better predictive value for stroke risk when compared to other indicators. Similar results were observed for both ischemic and hemorrhagic strokes.Conclusion: Elevated SIRI levels were significantly associated with the risk of stroke and its subtypes in elderly patients with hypertension, suggesting its potential as a promising indicator for stroke risk in this population. However, larger prospective studies are needed to confirm these findings.Keywords: systemic inflammation response index, stroke, elderly, hypertension, inflammation, cohort study
Published: 2023

37. Benefit of Nasal Douche in COVID-19 Patients with Recurrence of Positive SARS-CoV-2 Viral RNA

Author: Liao X, Guan Y, Lin Z, Tang Q, Ma Z, Wu S, Wang X, Dong J, Zhang L, Deng J, Liao Z, Yang S, Wang C, Song S, Yi H, Asakawa T, and Lu H
Subjects: covid-19, nasal douche, re-positive, rt-pcr, Infectious and parasitic diseases, RC109-216
Abstract: Xuejiao Liao,1,&ast; Yuan Guan,1,2,&ast; Zixun Lin,1 Qingrong Tang,3 Zhenghua Ma,1 Shuting Wu,1 Xiaobin Wang,1 Jingke Dong,1 Liping Zhang,1 Jiayu Deng,1 Zhonghui Liao,1,4 Sumei Yang,1,4 Cheng Wang,1,4 Shuo Song,1 Hongyang Yi,1 Song Wu,5 Tetsuya Asakawa,6 Hongzhou Lu1 1Institute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People’s Hospital of Shenzhen, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, People’s Republic of China; 2Department of Epidemiology, School of Public Health Fudan University, Shanghai, People’s Republic of China; 3The First Hospital of Changsha, Infectious Diseases Department, Changsha, People’s Republic of China; 4School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China; 5Department of Central Laboratory, South China Hospital, Medical School, Shenzhen University, Shenzhen, People’s Republic of China; 6Institute of Neurology, National Clinical Research Center for Infectious Diseases, the Third People’s Hospital of Shenzhen, Shenzhen, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Hongzhou Lu, Institute for Hepatology, National Clinical Research Center for Infectious Disease, The Third People’s Hospital of Shenzhen, The Second Hospital Affiliated with the School of Medicine, Southern University of Science and Technology, No. 29 Bulan Road, Long Gang District, Shenzhen, Guangdong, 518112, People’s Republic of China, Email luhongzhou@fudan.edu.cn Tetsuya Asakawa, Institute of Neurology, National Clinical Research Center for Infectious Diseases, the Third People’s Hospital of Shenzhen, No. 29 Buji Bulan Road, Shenzhen, Guangdong, 518112, People’s Republic of China, Email asakawat1971@gmail.comPurpose: The purpose was to review relevant clinical data and formulate recommendations supporting the use of saline as a simple rinse for an early reassuring intervention to reduce the occurrence of re-positive COVID-19 patients.Methods: We conducted a single-centre retrospective cohort study, which enrolled patients with confirmed re-testing positive COVID-19 during 7– 60 days after discharge from Third People’s Hospital of Shenzhen. By one-to-two propensity score matching for age and sex, the control group of those not re-testing positive during the same period served as matched control.Results: A total of 223 patients were included in our study, 94 in re-positive group and 129 in non-re-positive group. The result shows that the rates of nasal douche treatment in the non-re-positive group were considerably higher than that of the re-positive group. And the Ct value of nasal douche group increased faster than that of non-nasal douche group after the Ct value reaching ≥ 35. Further analysis revealed that the higher the Ct value at the time of readmission, the shorter the time of average Ct values to reach ≥ 35.Conclusion: These findings suggest that nasal douche is beneficial to shorten the time of virus nucleic acid turning negative, thereby reducing the incidence of re-positive. The prevention and control of epidemics focuses on re-positive patients with Ct values < 35.Keywords: COVID-19, nasal douche, re-positive, RT-PCR
Published: 2023

38. Characterization of ST11 and ST15 Carbapenem-Resistant Hypervirulent Klebsiella pneumoniae from Patients with Ventilator-Associated Pneumonia

Author: Song S, Zhao S, Wang W, Jiang F, Sun J, Ma P, and Kang H
Subjects: klebsiella pneumoniae, hypervirulent, carbapenem-resistant, ventilator-associated pneumonia, Infectious and parasitic diseases, RC109-216
Abstract: Shuang Song,1,2,&ast; Shulong Zhao,2,&ast; Wei Wang,1 Fei Jiang,2 Jingfang Sun,2 Ping Ma,1,2 Haiquan Kang2 1Medical Technology School, Xuzhou Medical University, Xuzhou, People’s Republic of China; 2Department of Clinical Laboratory, Affiliated Hospital of Xuzhou Medical University, Xuzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Haiquan Kang, Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People’s Republic of China, Tel +86-516 85802759, Email hqk811029@163.com Ping Ma, Medical Technology School, Xuzhou Medical University, Department of Laboratory Medicine, Xuzhou, People’s Republic of China, Tel +86-516 85807017, Email pingm62@aliyun.comBackground: The prevalence of carbapenem-resistant hypervirulent Klebsiella pneumoniae (hv-CRKP) is a serious public threat globally. Here, we performed clinical, molecular, and phenotypic monitoring of hv-CRKP strains isolated from the intensive care unit (ICU) to offer evidence for prevention and control in hospitals.Methods: Data analysis of ICU patients suffering from ventilator-associated pneumonia (VAP) because of hv-CRKP infection, admitted at the Chinese Teaching Hospital between March 2019 and September 2021 was performed. Patients’ antibiotic-resistance genes, virulence-associated genes, and capsular serotypes of these isolates were detected. Homology analysis of the strains was performed by MLST and PFGE. Six different strains were tested for their virulence traits using the serum killing test and the Galleria mellonella infection assay. For whole genome sequencing, KP3 was selected as a representative strain.Results: Clinical data of 19 hv-CRKP-VAP patients were collected and their hv-CRKP were isolated, including 10 of ST11-KL64, 4 of ST15-KL112, 2 of ST11-KL47, 1 of ST15-KL19, 1 of ST17-KL140, and 1 of ST48-KL62. Four ST15 and 8 ST11 isolates revealed high homology, respectively. Most strains carried the carbapenemase gene blaKPC-2 (14/19, 73.68%), followed by blaOXA-232 (4/19, 21.05%). All strains were resistant to almost all the antibiotics except polymyxin and tigacycline. Ten patients were treated with polymyxin or tigacycline based on their susceptibility results, and unfortunately 6 patients died. All strains exhibited a hyper-viscous phenotype, and the majority (17/19, 89.47%) of them contained rmpA and rmpA2. The serum killing test showed that KP9 was resistant to normal healthy serum, others were intermediately or highly sensitive. G. mellonella larvae infection assay suggested that the strains in this study were hypervirulent.Conclusion: This study highlights the dominant strain and molecular epidemiology of hv-CRKP in a hospital in China. We should pay more attention to the effect of hv-CRKP on VAP, strengthen monitoring and control transmission.Keywords: Klebsiella pneumoniae, hypervirulent, carbapenem-resistant, ventilator-associated pneumonia
Published: 2023

39. Outage and Finite-SNR DMT Analysis for IRS-aided MIMO Systems: How Large IRSs Need to Be?

Author: Zhang, Xin, Yu, Xianghao, and Song, S. H.
Subjects: Computer Science - Information Theory
Abstract: Intelligent reflecting surfaces (IRSs) are promising enablers for high-capacity wireless communication systems by constructing favorable channels between the transmitter and receiver. However, general, accurate, and tractable outage analysis for IRS-aided multiple-input-multiple-output (MIMO) systems is not available in the literature. In this paper, we first characterize the mutual information (MI) of IRS-aided MIMO systems by capitalizing on large random matrix theory (RMT). Based on this result, a closed-form approximation for the outage probability is derived and a gradient-based algorithm is proposed to minimize the outage probability with statistical channel state information (CSI). We also investigate the diversity-multiplexing tradeoff (DMT) with the finite signal-to-noise ratio (SNR). Based on these theoretical results, we further study the impact of the IRS size on system performance. In the high SNR regime, we provide closed-form expressions for the ergodic mutual information (EMI) and outage probability as a function of the IRS size, which analytically reveal that the benefit of increasing the IRS size saturates quickly. Simulation results validate the accuracy of the theoretical analysis and confirm the increasing cost for deploying larger IRSs to improve system performance. For example, for an IRS-aided MIMO system with 20 antennas at both the transmitter and receiver, we need to double the size of the IRS to increase the throughout from 90% to 95% of its maximum value., Comment: This paper has been accepted by IEEE J. Sel. Topics Signal Process., Special Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-aided 6G Networks
Published: 2021
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40. Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach

Author: He, Hengtao, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: Cell-free massive MIMO is one of the core technologies for future wireless networks. It is expected to bring enormous benefits, including ultra-high reliability, data throughput, energy efficiency, and uniform coverage. As a radically distributed system, the performance of cell-free massive MIMO critically relies on efficient distributed processing algorithms. In this paper, we propose a distributed expectation propagation (EP) detector for cell-free massive MIMO, which consists of two modules: a nonlinear module at the central processing unit (CPU) and a linear module at each access point (AP). The turbo principle in iterative channel decoding is utilized to compute and pass the extrinsic information between the two modules. An analytical framework is provided to characterize the asymptotic performance of the proposed EP detector with a large number of antennas. Furthermore, a distributed iterative channel estimation and data detection (ICD) algorithm is developed to handle the practical setting with imperfect channel state information (CSI). Simulation results will show that the proposed method outperforms existing detectors for cell-free massive MIMO systems in terms of the bit-error rate and demonstrate that the developed theoretical analysis accurately predicts system performance. Finally, it is shown that with imperfect CSI, the proposed ICD algorithm improves the system performance significantly and enables non-orthogonal pilots to reduce the pilot overhead., Comment: 31 Pages, 8 Figures, 2 Tables. This paper has been submitted to the IEEE for possible publication. arXiv admin note: substantial text overlap with arXiv:2108.07498
Published: 2021

41. Enhanced charge density wave with mobile superconducting vortices in La$_{1.885}$Sr$_{0.115}$CuO$_4$

Author: Wen, J. -J., He, W., Jang, H., Nojiri, H., Matsuzawa, S., Song, S., Chollet, M., Zhu, D., Liu, Y. -J., Fujita, M., Jiang, J. M., Rotundu, C. R., Kao, C. -C., Jiang, H. -C., Lee, J. -S., and Lee, Y. S.
Subjects: Condensed Matter - Superconductivity, Condensed Matter - Strongly Correlated Electrons
Abstract: Superconductivity in the cuprates is found to be intertwined with charge and spin density waves. Determining the interactions between the different types of order is crucial for understanding these important materials. Here, we elucidate the role of the charge density wave (CDW) in the prototypical cuprate La$_{1.885}$Sr$_{0.115}$CuO$_4$, by studying the effects of large magnetic fields ($H$) up to 24 Tesla. At low temperatures ($T$), the observed CDW peaks reveal two distinct regions in the material: a majority phase with short-range CDW coexisting with superconductivity, and a minority phase with longer-range CDW coexisting with static spin density wave (SDW). With increasing magnetic field, the CDW first grows smoothly in a manner similar to the SDW. However, at high fields we discover a sudden increase in the CDW amplitude upon entering the vortex-liquid state. Our results signify strong coupling of the CDW to mobile superconducting vortices and link enhanced CDW amplitude with local superconducting pairing across the $H-T$ phase diagram., Comment: 7 pages, 3 figures
Published: 2021

42. Cell-Free Massive MIMO for 6G Wireless Communication Networks

Author: He, Hengtao, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: The recently commercialized fifth-generation (5G) wireless communication networks achieved many improvements, including air interface enhancement, spectrum expansion, and network intensification by several key technologies, such as massive multiple-input multiple-output (MIMO), millimeter-wave communications, and ultra-dense networking. Despite the deployment of 5G commercial systems, wireless communications is still facing many challenges to enable connected intelligence and a myriad of applications such as industrial Internet-of-things, autonomous systems, brain-computer interfaces, digital twin, tactile Internet, etc. Therefore, it is urgent to start research on the sixth-generation (6G) wireless communication systems. Among the candidate technologies for such systems, cell-free massive MIMO which combines the advantages of distributed systems and massive MIMO is considered as a key solution to enhance the wireless transmission efficiency and becomes the international frontier. In this paper, we present a comprehensive study on cell-free massive MIMO for 6G wireless communication networks, especially from the signal processing perspective. We focus on enabling physical layer technologies for cell-free massive MIMO, such as user association, pilot assignment, transmitter and receiver design, as well as power control and allocation. Furthermore, some current and future research problems are highlighted., Comment: 28 pages, 4 figures, 4 tables, Accepted by Journal of Communications and Information Networks
Published: 2021

43. Learn to Communicate with Neural Calibration: Scalability and Generalization

Author: Ma, Yifan, Shen, Yifei, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning
Abstract: The conventional design of wireless communication systems typically relies on established mathematical models that capture the characteristics of different communication modules. Unfortunately, such design cannot be easily and directly applied to future wireless networks, which will be characterized by large-scale ultra-dense networks whose design complexity scales exponentially with the network size. Furthermore, such networks will vary dynamically in a significant way, which makes it intractable to develop comprehensive analytical models. Recently, deep learning-based approaches have emerged as potential alternatives for designing complex and dynamic wireless systems. However, existing learning-based methods have limited capabilities to scale with the problem size and to generalize with varying network settings. In this paper, we propose a scalable and generalizable neural calibration framework for future wireless system design, where a neural network is adopted to calibrate the input of conventional model-based algorithms. Specifically, the backbone of a traditional time-efficient algorithm is integrated with deep neural networks to achieve a high computational efficiency, while enjoying enhanced performance. The permutation equivariance property, carried out by the topological structure of wireless systems, is furthermore utilized to develop a generalizable neural network architecture. The proposed neural calibration framework is applied to solve challenging resource management problems in massive multiple-input multiple-output (MIMO) systems. Simulation results will show that the proposed neural calibration approach enjoys significantly improved scalability and generalization compared with the existing learning-based methods., Comment: submitted to IEEE Transactions on Wireless Communications. arXiv admin note: text overlap with arXiv:2108.01529
Published: 2021

44. Investigation of the effectiveness of non-inductive `multi-harmonic' electron cyclotron current drive through modeling multi-pass absorptions in the EXL-50 spherical tokamak

Author: Banerjee, D., Song, S. D., Xie, H. S., Liu, B., Wang, M. Y., Liu, W. J., Chen, B., Han, L., Luo, D., Song, Y. Y., Petrov, Yu. V., Song, X. M., Liu, M. S., Harvey, R. W., Shi, Y. J., Peng, Y. K. M., and team, the EXL50
Subjects: Physics - Plasma Physics
Abstract: The effectiveness of multiple electron cyclotron resonance (ECR) harmonics has been thoroughly investigated in context of high current drive efficiency, generally observed in fully non-inductive operation of the low aspect ratio EXL-50 spherical tokamak (ST) powered by electron cyclotron (EC) waves. The Fokker-Plank equation is numerically solved to obtain electron distribution function, under steady state of the relativistic nonlinear Coulomb collision and quasi-linear diffusion operators, for calculating plasma current driven by the injected EC wave. For the extra-ordinary EC wave, simulation results unfold a mechanism by which electrons moving around the cold second harmonic ECR layer strongly resonate with higher harmonics via the relativistic Doppler shifted resonance condition. This feature is in fact evident above a certain value of input EC wave power in simulation, indicating it to be a non-linear phenomenon. Similar to the experimental observation, high efficiency in current drive (over 1 A/W) has indeed been found in simulation for a typical low density ($\sim 1\times10^{18}~m^{-3}$), low temperature ($\lesssim 100$ eV) plasma of EXL-50 by taking into account multi-pass absorptions in our simulation model. However, such characteristic is not found in the ordinary EC-wave study for both single-pass and multi-pass simulations, suggesting it as inefficient in driving current on our ST device., Comment: 22 pages, 15 figures. Submitted to the Nuclear Fusion journal
Published: 2021

45. Bias for the Trace of the Resolvent and Its Application on Non-Gaussian and Non-centered MIMO Channels

Author: Zhang, Xin and Song, S. H.
Subjects: Computer Science - Information Theory
Abstract: The mutual information (MI) of Gaussian multi-input multi-output (MIMO) channels has been evaluated by utilizing random matrix theory (RMT) and shown to asymptotically follow Gaussian distribution, where the ergodic mutual information (EMI) converges to a deterministic quantity. However, with non-Gaussian channels, there is a bias between the EMI and its deterministic equivalent (DE), whose evaluation is not available in the literature. This bias of the EMI is related to the bias for the trace of the resolvent in large RMT. In this paper, we first derive the bias for the trace of the resolvent, which is further extended to compute the bias for the linear spectral statistics (LSS). Then, we apply the above results on non-Gaussian MIMO channels to determine the bias for the EMI. It is also proved that the bias for the EMI is $-0.5$ times of that for the variance of the MI. Finally, the derived bias is utilized to modify the central limit theory (CLT) and calculate the outage probability. Numerical results show that the modified CLT significantly outperforms previous methods in approximating the distribution of the MI and improves the accuracy for the outage probability evaluation., Comment: This paper has been accepted by Transactions on Information Theory
Published: 2021

46. Distributed Expectation Propagation Detection for Cell-Free Massive MIMO

Author: He, Hengtao, Wang, Hanqing, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: In cell-free massive MIMO networks, an efficient distributed detection algorithm is of significant importance. In this paper, we propose a distributed expectation propagation (EP) detector for cell-free massive MIMO. The detector is composed of two modules, a nonlinear module at the central processing unit (CPU) and a linear module at the access point (AP). The turbo principle in iterative decoding is utilized to compute and pass the extrinsic information between modules. An analytical framework is then provided to characterize the asymptotic performance of the proposed EP detector with a large number of antennas. Simulation results will show that the proposed method outperforms the distributed detectors in terms of bit-error-rate., Comment: 6 pages, 5 figures, 2 tables, Accepted by IEEE Globecom 2021
Published: 2021

47. Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation

Author: Ma, Yifan, Shen, Yifei, Yu, Xianghao, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning
Abstract: Channel estimation and beamforming play critical roles in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. However, these two modules have been treated as two stand-alone components, which makes it difficult to achieve a global system optimality. In this paper, we propose a deep learning-based approach that directly optimizes the beamformers at the base station according to the received uplink pilots, thereby, bypassing the explicit channel estimation. Different from the existing fully data-driven approach where all the modules are replaced by deep neural networks (DNNs), a neural calibration method is proposed to improve the scalability of the end-to-end design. In particular, the backbone of conventional time-efficient algorithms, i.e., the least-squares (LS) channel estimator and the zero-forcing (ZF) beamformer, is preserved and DNNs are leveraged to calibrate their inputs for better performance. The permutation equivariance property of the formulated resource allocation problem is then identified to design a low-complexity neural network architecture. Simulation results will show the superiority of the proposed neural calibration method over benchmark schemes in terms of both the spectral efficiency and scalability in large-scale wireless networks., Comment: submitted to IEEE Globecom 2021
Published: 2021

48. AI Empowered Resource Management for Future Wireless Networks

Author: Shen, Yifei, Zhang, Jun, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract: Resource management plays a pivotal role in wireless networks, which, unfortunately, leads to challenging NP-hard problems. Artificial Intelligence (AI), especially deep learning techniques, has recently emerged as a disruptive technology to solve such challenging problems in a real-time manner. However, although promising results have been reported, practical design guidelines and performance guarantees of AI-based approaches are still missing. In this paper, we endeavor to address two fundamental questions: 1) What are the main advantages of AI-based methods compared with classical techniques; and 2) Which neural network should we choose for a given resource management task. For the first question, four advantages are identified and discussed. For the second question, \emph{optimality gap}, i.e., the gap to the optimal performance, is proposed as a measure for selecting model architectures, as well as, for enabling a theoretical comparison between different AI-based approaches. Specifically, for $K$-user interference management problem, we theoretically show that graph neural networks (GNNs) are superior to multi-layer perceptrons (MLPs), and the performance gap between these two methods grows with $\sqrt{K}$., Comment: Meditcom 2021
Published: 2021

49. Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature

Author: Jaffe, Sabrina, Qian, Song S., Mayer, Christine M., Kocovsky, Patrick M., and Gouveia, Ana
Published: 2024
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50. IRS-aided MIMO Systems over Double-scattering Channels: Impact of Channel Rank Deficiency

Author: Zhang, Xin, Yu, Xianghao, Song, S. H., and Letaief, Khaled B.
Subjects: Computer Science - Information Theory
Abstract: Intelligent reflecting surfaces (IRSs) are promising enablers for next-generation wireless communications due to their reconfigurability and high energy efficiency in improving poor propagation condition of channels, e.g., limited scattering environment. However, most existing works assumed full-rank channels requiring rich scatters, which may not be available in practice. To analyze the impact of rank-deficient channels and mitigate the ensued performance loss, we consider a large-scale IRS-aided MIMO system with statistical channel state information (CSI), where the double-scattering channel is adopted to model rank deficiency. By leveraging random matrix theory (RMT), we first derive a deterministic approximation (DA) of the ergodic rate with low computational complexity and prove the existence and uniqueness of the DA parameters. Then, we propose an alternating optimization algorithm for maximizing the DA with respect to phase shifts and signal covariance matrices. Numerical results will show that the DA is tight and our proposed method can effectively mitigate the performance loss induced by channel rank deficiency., Comment: This paper has been accepted to IEEE Wireless Communications and Networking Conference, Austin, TX, USA, Apr. 2022
Published: 2021

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