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3. Dietary intake and glutamine-serine metabolism control pathologic vascular stiffness

Author

Rachedi, Nesrine S., Tang, Ying, Tai, Yi-Yin, Zhao, Jingsi, Chauvet, Caroline, Grynblat, Julien, Akoumia, Kouamé Kan Firmin, Estephan, Leonard, Torrino, Stéphanie, Sbai, Chaima, Ait-Mouffok, Amel, Latoche, Joseph D., Al Aaraj, Yassmin, Brau, Frederic, Abélanet, Sophie, Clavel, Stephan, Zhang, Yingze, Guillermier, Christelle, Kumar, Naveen V.G., Tavakoli, Sina, Mercier, Olaf, Risbano, Michael G., Yao, Zhong-Ke, Yang, Guangli, Ouerfelli, Ouathek, Lewis, Jason S., Montani, David, Humbert, Marc, Steinhauser, Matthew L., Anderson, Carolyn J., Oldham, William M., Perros, Frédéric, Bertero, Thomas, and Chan, Stephen Y.

Published
2024
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8. eIF4A controls translation of estrogen receptor alpha and is a therapeutic target in advanced breast cancer

Author

Boyer, Jacob A., primary, Sharma, Malvika, additional, Dorso, Madeline, additional, Mai, Nicholas, additional, Amor, Corina, additional, Reiter, Jason M., additional, Kannan, Ram, additional, Gadal, Sunyana, additional, Xu, Jianing, additional, Miele, Matthew, additional, Zhuoning, Li, additional, Chen, Xiaoping, additional, Chang, Qing, additional, Pareja, Fresia, additional, Worland, Stephan, additional, Warner, Douglas, additional, Sperry, Sam, additional, Chiang, Gary G., additional, Thompson, Peggy A., additional, Yang, Guangli, additional, Ouerfelli, Ouathek, additional, De Stanchina, Elisa, additional, Wendel, Hans G., additional, Rosen, Ezra Y., additional, Chandarlapaty, Sarat, additional, and Rosen, Neal, additional

Published
2024
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11. A comparative study on the tax and fee reduction policies for sustainable development: Empirical analysis from the world’s three major economies in tackling COVID-19

Author

Ma Yujuan, Yang Guangli, and Li Bo

Subjects
tax reduction and fee reduction, economic growth rate, employment rate, tax system reform, COVID-19, Environmental sciences, GE1-350
Abstract

The global COVID-19 epidemic in 2020 has caused a significant drop in many countries’ employment rates and economies. Numerous countries have implemented a number of tax and fee reduction policies in response to the COVID-19 epidemic. This essay analyzes the tax and fee policies and results of the three largest economies in the world—China, the United States, and Japan—in response to COVID-19 between 2020 and 2021. We will first compare the effects of tax and fee reduction policies horizontally across China, the US, and Japan. The second step is to compare the effects of tax and fee reduction policies. According to the study, China, the United States and Japan have each implemented separate tax and fee policies in response to COVID-19. The United States primarily provides corporate income tax, personal income tax relief, and increased social welfare and subsidies that reduce the tax burden of enterprises, stimulate the vitality of enterprises, increase the disposable income of residents, stimulate consumption, and thus promote economic growth; Japan primarily provides income tax, consumption tax and business tax relief to reduce the cost of consumption for residents, increase corporate profits and cash flow, restore economic growth and stabilize employment. China primarily provides tax relief for VAT, corporate income tax and social security funds. It indirectly lowers the selling price of products, reduces the operating costs of enterprises, increases personal disposable income, stimulates consumption, promotes the growth of business performance and plays a certain role in curbing inflation. Based on the empirical analysis of the impact of different tax and fee reduction policies on the economy and employment in China, the United States and Japan, it is of some relevance for other countries. Therefore, in response to COVID-19 or major emergencies, each country can formulate targeted tax and fee reduction measures based on its own national conditions to support economic growth and stable employment.

Published
2022
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12. Redirecting raltitrexed from cancer cell thymidylate synthase to Mycobacterium tuberculosis phosphopantetheinyl transferase

Author

Singh, Amrita, primary, Ottavi, Samantha, additional, Krieger, Inna, additional, Planck, Kyle, additional, Perkowski, Andrew, additional, Kaneko, Takushi, additional, Davis, Andrew M., additional, Suh, Christine, additional, Zhang, David, additional, Goullieux, Laurent, additional, Alex, Alexander, additional, Roubert, Christine, additional, Gardner, Mark, additional, Preston, Marian, additional, Smith, Dave M., additional, Ling, Yan, additional, Roberts, Julia, additional, Cautain, Bastien, additional, Upton, Anna, additional, Cooper, Christopher B., additional, Serbina, Natalya, additional, Tanvir, Zaid, additional, Mosior, John, additional, Ouerfelli, Ouathek, additional, Yang, Guangli, additional, Gold, Ben S., additional, Rhee, Kyu Y., additional, Sacchettini, James C., additional, Fotouhi, Nader, additional, Aubé, Jeffrey, additional, and Nathan, Carl, additional

Published
2024
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15. Wind Profile Estimation for K-Band Doppler Radar Based on Mutual Convolution Cost Function Method

Author

Tan, Zaixing, Yang, Guangli, Wang, Siye, Wang, Lijun, Fan, Yvxin, Wang, Rui, and Luo, Yong

Abstract

At present, K-band Doppler radar has been proposed for detecting the motion state of atmospheric turbulence and obtaining wind velocity and direction. However, the echo signal of the turbulence is often interfered with strong noise, and there are multiple spectral peaks in the power spectrum, which greatly affect the overall detection accuracy of the radar. Traditional wind profile estimation methods directly analyze the coherent accumulation (CA) signal using a cost function, which is susceptible to clutter and noise during the selection of the candidate spectral peaks. To overcome the shortcomings of traditional methods under the condition of low signal-to-noise ratio (SNR) and multiple peaks, in this article, we propose a novel method based on the mutual convolution cost function (MCCF), which utilizes the mutual convolution and the complex least mean square (MCLMS) method to filter the CA signal, and then generates a cost function to select the optimal spectral peaks in the space-time Doppler window. This systematically solves the problem of turbulence echoes being interfered with strong noise and multiple peaks. Finally, the commonly used methods are compared with the proposed method, and the statistical results of these methods are verified by using LIDAR data. The results indicate that the proposed method can improve the SNR by 2–4 dB and improve the overall correlation coefficient (CC) by about 10% of the radar.

Published
2024
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23. Supplementary Methods and Figures S1 to S7 from CSF1/CSF1R Signaling Inhibitor Pexidartinib (PLX3397) Reprograms Tumor-Associated Macrophages and Stimulates T-cell Infiltration in the Sarcoma Microenvironment

Author

Fujiwara, Tomohiro, primary, Yakoub, Mohamed A., primary, Chandler, Andrew, primary, Christ, Alexander B., primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Rajasekhar, Vinagolu K., primary, Yoshida, Aki, primary, Kondo, Hiroya, primary, Hata, Toshiaki, primary, Tazawa, Hiroshi, primary, Dogan, Yildirim, primary, Moore, Malcolm A.S., primary, Fujiwara, Toshiyoshi, primary, Ozaki, Toshifumi, primary, Purdue, Ed, primary, and Healey, John H., primary

Published
2023
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24. Data from CSF1/CSF1R Signaling Inhibitor Pexidartinib (PLX3397) Reprograms Tumor-Associated Macrophages and Stimulates T-cell Infiltration in the Sarcoma Microenvironment

Author

Fujiwara, Tomohiro, primary, Yakoub, Mohamed A., primary, Chandler, Andrew, primary, Christ, Alexander B., primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Rajasekhar, Vinagolu K., primary, Yoshida, Aki, primary, Kondo, Hiroya, primary, Hata, Toshiaki, primary, Tazawa, Hiroshi, primary, Dogan, Yildirim, primary, Moore, Malcolm A.S., primary, Fujiwara, Toshiyoshi, primary, Ozaki, Toshifumi, primary, Purdue, Ed, primary, and Healey, John H., primary

Published
2023
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25. Supplementary Figure from Dual Fluorescence Isogenic Synthetic Lethal Kinase Screen and High-Content Secondary Screening for MUC16/CA125-Selective Agents

Author

Rao, Thapi D., primary, Xu, Mengyao, primary, Eng, Stephanie, primary, Yang, Guangli, primary, Manson, Robin, primary, Rosales, Nestor, primary, Kumar, Raj, primary, Veillard, Irva E., primary, Zhou, Qin, primary, Iasonos, Alexia, primary, Ouerfelli, Ouathek, primary, Djaballah, Hakim, primary, Spriggs, David R., primary, and Yeku, Oladapo O., primary

Published
2023
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26. Data from Dual Fluorescence Isogenic Synthetic Lethal Kinase Screen and High-Content Secondary Screening for MUC16/CA125-Selective Agents

Author

Rao, Thapi D., primary, Xu, Mengyao, primary, Eng, Stephanie, primary, Yang, Guangli, primary, Manson, Robin, primary, Rosales, Nestor, primary, Kumar, Raj, primary, Veillard, Irva E., primary, Zhou, Qin, primary, Iasonos, Alexia, primary, Ouerfelli, Ouathek, primary, Djaballah, Hakim, primary, Spriggs, David R., primary, and Yeku, Oladapo O., primary

Published
2023
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27. Supplementary Table 4 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules

Author

Singh, Kamini, primary, Lin, Jianan, primary, Lecomte, Nicolas, primary, Mohan, Prathibha, primary, Gokce, Askan, primary, Sanghvi, Viraj R., primary, Jiang, Man, primary, Grbovic-Huezo, Olivera, primary, Burčul, Antonija, primary, Stark, Stefan G., primary, Romesser, Paul B., primary, Chang, Qing, primary, Melchor, Jerry P., primary, Beyer, Rachel K., primary, Duggan, Mark, primary, Fukase, Yoshiyuki, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Viale, Agnes, primary, de Stanchina, Elisa, primary, Stamford, Andrew W., primary, Meinke, Peter T., primary, Rätsch, Gunnar, primary, Leach, Steven D., primary, Ouyang, Zhengqing, primary, and Wendel, Hans-Guido, primary

Published
2023
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28. Supplementary Table 2 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules

Author

Singh, Kamini, primary, Lin, Jianan, primary, Lecomte, Nicolas, primary, Mohan, Prathibha, primary, Gokce, Askan, primary, Sanghvi, Viraj R., primary, Jiang, Man, primary, Grbovic-Huezo, Olivera, primary, Burčul, Antonija, primary, Stark, Stefan G., primary, Romesser, Paul B., primary, Chang, Qing, primary, Melchor, Jerry P., primary, Beyer, Rachel K., primary, Duggan, Mark, primary, Fukase, Yoshiyuki, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Viale, Agnes, primary, de Stanchina, Elisa, primary, Stamford, Andrew W., primary, Meinke, Peter T., primary, Rätsch, Gunnar, primary, Leach, Steven D., primary, Ouyang, Zhengqing, primary, and Wendel, Hans-Guido, primary

Published
2023
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29. Supplementary figure S4 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules

Author

Singh, Kamini, primary, Lin, Jianan, primary, Lecomte, Nicolas, primary, Mohan, Prathibha, primary, Gokce, Askan, primary, Sanghvi, Viraj R., primary, Jiang, Man, primary, Grbovic-Huezo, Olivera, primary, Burčul, Antonija, primary, Stark, Stefan G., primary, Romesser, Paul B., primary, Chang, Qing, primary, Melchor, Jerry P., primary, Beyer, Rachel K., primary, Duggan, Mark, primary, Fukase, Yoshiyuki, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Viale, Agnes, primary, de Stanchina, Elisa, primary, Stamford, Andrew W., primary, Meinke, Peter T., primary, Rätsch, Gunnar, primary, Leach, Steven D., primary, Ouyang, Zhengqing, primary, and Wendel, Hans-Guido, primary

Published
2023
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30. Supplementary Table 1 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules

Author

Singh, Kamini, primary, Lin, Jianan, primary, Lecomte, Nicolas, primary, Mohan, Prathibha, primary, Gokce, Askan, primary, Sanghvi, Viraj R., primary, Jiang, Man, primary, Grbovic-Huezo, Olivera, primary, Burčul, Antonija, primary, Stark, Stefan G., primary, Romesser, Paul B., primary, Chang, Qing, primary, Melchor, Jerry P., primary, Beyer, Rachel K., primary, Duggan, Mark, primary, Fukase, Yoshiyuki, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Viale, Agnes, primary, de Stanchina, Elisa, primary, Stamford, Andrew W., primary, Meinke, Peter T., primary, Rätsch, Gunnar, primary, Leach, Steven D., primary, Ouyang, Zhengqing, primary, and Wendel, Hans-Guido, primary

Published
2023
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31. Supplementary Methods and Figure Legends from Novel D761Y and Common Secondary T790M Mutations in Epidermal Growth Factor Receptor–Mutant Lung Adenocarcinomas with Acquired Resistance to Kinase Inhibitors

Author

Balak, Marissa N., primary, Gong, Yixuan, primary, Riely, Gregory J., primary, Somwar, Romel, primary, Li, Allan R., primary, Zakowski, Maureen F., primary, Chiang, Anne, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Kris, Mark G., primary, Ladanyi, Marc, primary, Miller, Vincent A., primary, and Pao, William, primary

Published
2023
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32. Supplementary Table 3 from Targeting eIF4A-Dependent Translation of KRAS Signaling Molecules

Author

Singh, Kamini, primary, Lin, Jianan, primary, Lecomte, Nicolas, primary, Mohan, Prathibha, primary, Gokce, Askan, primary, Sanghvi, Viraj R., primary, Jiang, Man, primary, Grbovic-Huezo, Olivera, primary, Burčul, Antonija, primary, Stark, Stefan G., primary, Romesser, Paul B., primary, Chang, Qing, primary, Melchor, Jerry P., primary, Beyer, Rachel K., primary, Duggan, Mark, primary, Fukase, Yoshiyuki, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Viale, Agnes, primary, de Stanchina, Elisa, primary, Stamford, Andrew W., primary, Meinke, Peter T., primary, Rätsch, Gunnar, primary, Leach, Steven D., primary, Ouyang, Zhengqing, primary, and Wendel, Hans-Guido, primary

Published
2023
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33. Supplementary Figures 1-3 from Novel D761Y and Common Secondary T790M Mutations in Epidermal Growth Factor Receptor–Mutant Lung Adenocarcinomas with Acquired Resistance to Kinase Inhibitors

Author

Balak, Marissa N., primary, Gong, Yixuan, primary, Riely, Gregory J., primary, Somwar, Romel, primary, Li, Allan R., primary, Zakowski, Maureen F., primary, Chiang, Anne, primary, Yang, Guangli, primary, Ouerfelli, Ouathek, primary, Kris, Mark G., primary, Ladanyi, Marc, primary, Miller, Vincent A., primary, and Pao, William, primary

Published
2023
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43. Reducing social security contribution rate on the financial performance of state-owned and non-state-owned manufacturing industries in the post-epidemic era.

Author

Zhang, Liangchen and Yang, Guangli

Subjects
*FINANCIAL performance, *SOCIAL security, *SMALL business, *PENSION trusts, *INSURANCE premiums
Abstract

Social insurance is an essential component of a contemporary social security system since it protects people's fundamental well-being, but it also incurs a heavy cost for businesses. If social security costs are excessively high, business profitability will suffer, and innovation will be discouraged. The most affected companies would be those in labor-intensive industries and medium-sized enterprises. Chinese businesses have suffered severe losses as a result of the COVID-19 outbreak. Given the circumstance, China enacted additional tax cuts and preferential social insurance premium plans. This article suggests a lower ratio of contribution as a strategy to cut the cost of social insurance premiums for businesses, given the growth of the social security fund in recent years and the proportion of participants to recipients in pension funds. It would be possible to increase firm profitability and lessen the impact of COVID-19 on industries by minimizing this operation burden. In order to compare the financial performance of state-owned manufacturers (SOMs) to that of their non-state-owned peers, who have a lower ratio of contribution, this study uses a multiple regression model. The ratio of contributions was inversely correlated with an enterprise's financial performance. In other words, financial performance will improve as the ratio of contribution lowers; nevertheless, this effect is more pronounced in SOMs. The final section of this study proposed optimized approaches for social insurance premiums reform. [ABSTRACT FROM AUTHOR]

Published
2023
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