Human motion capture data compression by Wang, Dian

“…This project uses two kinds of motion capture data as experiment materials, namely, data from Kinect and data from CMU database. …”
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Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer by Palafox, Marta, Monserrat, Laia, Bellet, Meritxell, Villacampa, Guillermo, Gonzalez-Perez, Abel, Oliveira, Mafalda, Brasó-Maristany, Fara, Ibrahimi, Nusaibah, Kannan, Srinivasaraghavan, Mina, Leonardo, Herrera-Abreu, Maria Teresa, Òdena, Andreu, Sánchez-Guixé, Mònica, Capelán, Marta, Azaro, Analía, Bruna, Alejandra, Rodríguez, Olga, Guzmán, Marta, Grueso, Judit, Viaplana, Cristina, Hernández, Javier, Su, Faye, Lin, Kui, Clarke, Robert B., Caldas, Carlos, Arribas, Joaquín, Michiels, Stefan, García-Sanz, Alicia, Turner, Nicholas C., Prat, Aleix, Nuciforo, Paolo, Dienstmann, Rodrigo, Verma, Chandra Shekhar, Lopez-Bigas, Nuria, Scaltriti, Maurizio, Arnedos, Monica, Saura, Cristina, Serra, Violeta

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Individual-fMRI-approaches reveal cerebellum and visual communities to be functionally connected in obsessive compulsive disorder by Kashyap, Rajan, Eng, Goi Khia, Bhattacharjee, Sagarika, Gupta, Bhanu, Ho, Roger, Ho, Cyrus S. H., Zhang, Melvyn, Mahendran, Rathi, Sim, Kang, Chen, Annabel Shen-Hsing

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Cardiovascular magnetic resonance before invasive coronary angiography in suspected non-ST-segment elevation myocardial infarction by Shanmuganathan, M, Nikolaidou, C, Burrage, MK, Borlotti, A, Kotronias, R, Scarsini, R, Banerjee, A, Terentes-Printzios, D, Pitcher, A, Gara, E, Langrish, J, Lucking, A, Choudhury, R, Luigi De Maria, G, Banning, A, Oxford Acute Myocardial Infarction (OxAMI) Study Investigators, Piechnik, SK, Channon, KM, Ferreira, VM

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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Cause-Specific Excess Mortality During the COVID-19 Pandemic (2020–2021) in 12 Countries of the C-MOR Consortium by Beeks, Victoria V., Achilleos, Souzana, Quattrocchi, Annalisa, Pallari, Chryso T., Critselis, Elena, Salameh, Pascale, Rahmanian Haghighi, Mohammad R., Rodriguez-Llanes, Jose M., Ambrosio, Giuseppe, Artemiou, Andreas, Gabel, John, Bennett, Catherine M., Cuthbertson, Joseph, Zimmermann, Claudia

“…Australia, Austria, Brazil, Cyprus, Georgia, Northern Ireland, Scotland and Slovenia, experienced increased crude cumulative cancer mortality during 2020 and/or 2021 compared to previous years. …”
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Tropical cyclones damage scenarios by Cheong, Charlotte Shi Qi

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Navigating an invisible labyrinth: the effect of involuntary bogus self-employment on female Greek-Cypriot educators’ job satisfaction and subjective well-being by Meletiadou, Eleni

“…The aim of this empirical study is to understand the impact of involuntary false self-employment on female educators’ job satisfaction and well-being in the public educational sector in Cyprus and unravel the barriers that mothers with school age children still face. …”
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Application of large language models in medicine by Liu, F, Zhou, H, Gu, B, Zou, X, Huang, J, Wu, J, Li, Y, Chen, SS, Hua, Y, Zhou, P, Liu, J, Mao, C, You, C, Wu, X, Zheng, Y, Clifton, L, Li, Z, Luo, J, Clifton, DA

Urban intensity parameterisation by Noor Azzy Zulkifli

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The effectiveness of agricultural extension in rice farming in Bantaeng Regency, Indonesia: Employing structural equation modeling in search for the effective ways in educating far... by Salam, Muslim, Jamil, Muhammad Hatta, Tenriawaru, A. Nixia, Kamarulzaman, Nitty Hirawaty, Syam, Siti Hardiyanti, Rahmadanih, ., Ramadhani, Anggun, Bidangan, Anny Melody, Muslim, Ahmad Imam, Bakheet Ali, Hamed Noralla, Ridwan, Muhammad

“…The sample size included 155 rice farmers, and the Structural Equation Modeling (SEM) was used to examine the rice farmer data. The results indicated that latent variables such as farmer engagement (FER), family resources (FRR), application of product inputs (APR) (β = 3.383), and crop management (CMR, β = −2.712)) all have a significant effect on the effectiveness of agricultural extension (EAR). …”
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Prognostic significance of pleural fluid microbiological positivity in pleural infection: a bicentric 10-year retrospective observational study by Wong, C, Fan, HC, Rahman, NM, Wong, JCC, Cheng, HS, Chiu, PH, Tong, CW, Miu, FPL, Yam, LYC

Investigating the impact of dietary guidelines transition on cardiometabolic risk profile: a forensic analysis using diet quality metrics by Sualeheen, Ayesha, Khor, Ban Hock, Lim, Jun Hao, Balasubramanian, Gaiyal Viliy, Chuah, Khun Aik, Yeak, Zu Wei, Chinna, Karuthan, Narayanan, Sreelakshmi Sankara, Sundram, Kalyana, Mat Daud, Zulfitri Azuan, Karupaiah, Tilakavati

“…We conducted a forensic analysis using DQ metrics to compare the Malaysian Dietary Guidelines (MDG-2020) with its former version (MDG-2010) in relation to cardiometabolic risk (CMR) for an adult Malaysian population. A DQ analysis of cross-sectional data from the Malaysia Lipid Study (MLS) cohort (n = 577, age: 20-65yrs) was performed using the healthy eating index-2015 (HEI-2015) framework in conformation with MDG-2020 (MHEI2020) and MDG-2010 (MHEI2010). …”
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P4-network : a networking infrastructure for intra-aircraft cabin wireless communication by Pham, Chau Khoa.

“…A machine-learning routing approach, Q-ROUTING, is employed to increase the data rates by combining several redundant commu-nication paths. …”
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Developing a digital phenotype to subdivide adult immunosuppressed COVID-19 outcomes within the English Primary Care Sentinel Network by Leston, M, Kar, D, Forbes, A, Jamie, G, Wimalaratna, R, Jiwani, G, Ordóñez-Mena, JM, Stewart, DE, Whitaker, H, Joy, M, Lee, LYW, Hobbs, FDR, de Lusignan, S

“…A clinically meaningful and computerised medical record (CMR) compatible method to subdivide immunosuppressed COVID-19 data is urgently needed. …”

Energy management of microgrids by Ju, Chengquan

“…All the proposed methodologies and algorithms throughout the research have been verified in MATLAB, with regards to different system topologies involving multiple data of RESs, ESSs and loads.…”
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Learning progressive joint propagation for human motion prediction by Cai, Yujun, Huang, Lin, Wang, Yiwei, Cham, Tat-Jen, Cai, Jianfei, Yuan, Junsong, Liu, Jun, Yang, Xu, Zhu, Yiheng, Shen, Xiaohui, Liu, Ding, Liu, Jing, Thalmann, Nadia Magnenat

“…Last, in order to incorporate a general motion space for high-quality prediction, we build a memory-based dictionary, which aims to preserve the global motion patterns in training data to guide the predictions.We evaluate the proposed method on two challenging benchmark datasets (Human3.6M and CMU-Mocap). …”
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关中方言的体貌系统 = The aspect of the Guanzhong dialect by 许丹明 Xu, Danming

“…Comrie 1976, Chen 2008). We found that Guanzhong has aspectual markers for Perfective, Experiential, Perfect, Progressive, Continuous, Initial, Completive, Delimitative, Iterative and Habitual. …”
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