Effective type label-based synergistic representation learning for biomedical event trigger detection by Hao, Anran, Yuan, Haohan, Hui, Siu Cheung, Su, Jian

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An evidence-based serious game app for public education on antibiotic use and resistance: randomized controlled trial by Huang, Zhilian, Ow, Jing Teng, Tang, Wern Ee, Chow, Angela

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Electrochemical kinetic energy harvesting mediated by ion solvation switching in two-immiscible liquid electrolyte by Lee, Donghoon, Song, You-Yeob, Wu, Angyin, Li, Jia, Yun, Jeonghun, Seo, Dong-Hwa, Lee, Seok Woo

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Metasurface-enabled broadband multidimensional photodetectors by Jiang, Hao, Chen, Yinzhu, Guo, Wenyu, Zhang, Yan, Zhou, Rigui, Gu, Mile, Zhong, Fan, Ni, Zhenhua, Lu, Junpeng, Qiu, Cheng-Wei, Gao, Weibo

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Energy-efficient video streaming over wireless networks by Chuah, Seong Ping

“…Meanwhile, datarate capacity of wireless links increases exponentially as wireless radio technology evolves from 2G to 4G. …”
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Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

“…Conversely, non-rationality is characterized by a) informal or sub-symbolic processing instead of one based on formal representations; b) associative, habitual reactions rather than step by step deduction or optimization; c) lack of explicit goals or their link to decision making. Human species is the only one capable of consistent rationality, but the scale and gravity of human non-rationality are far greater than often suspected. …”
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Genetic analysis of normal human phenotypes within the people of the British Isles by Meena, D

“…</p> <p>The last part of this thesis provides new insights into the field of olfactory perception and argues for the potential link between neurological disorders and olfactory impairment. …”

Effectiveness of digital education on communication skills among medical students : systematic review and meta-analysis by the digital health education collaboration by Kyaw, Bhone Myint, Posadzki, Pawel, Paddock, Sophie, Car, Josip, Campbell, James, Car, Lorainne Tudor

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Uncertainties of glacial isostatic adjustment model predictions in North America associated with 3D structure by Li, Tanghua, Wu, Patrick, Wang, Hansheng, Steffen, Holger, Khan, Nicole S., Engelhart, Simon E., Vacchi, Matteo, Shaw, Timothy Adam, Peltier, W. Richard, Horton, Benjamin Peter

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Longitudinal assessment of antibiotic resistance gene profiles in gut microbiomes of infants at risk of eczema by Loo, Evelyn Xiu Ling, Zain, Amanda, Yap, Gaik Chin, Purbojati, Rikky Wenang, Drautz-Moses, Daniela Isabel, Koh, Yanqing Michelle, Chong, Yap Seng, Tan, Kok Hian, Gluckman, Peter D., Yap, Fabian, Eriksson, Johan Gunnar, Tham, Elizabeth, Shek, Lynette Pei-Chi, Kjelleberg, Staffan, Schuster, Stephan Christoph, Banerjee, Ritu, Lee, Bee Wah

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A Brewster route to Cherenkov detectors by Lin, Xiao, Hu, Hao, Easo, Sajan, Yang, Yi, Shen, Yichen, Yin, Kezhen, Blago, Michele Piero, Kaminer, Ido, Zhang, Baile, Chen, Hongsheng, Joannopoulos, John, Soljačić, Marin, Luo, Yu

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Identification of genetic effects underlying type 2 diabetes in South Asian and European populations by Loh, Marie, Zhang, Weihua, Ng, Hong Kiat, Schmid, Katharina, Lamri, Amel, Tong, Lin, Meraj Ahmad, Lee, Jung-Jin, Ng, Maggie C. Y., Petty, Lauren E., Spracklen, Cassandra N., Takeuchi, Fumihiko, Md. Tariqul Islam, Jasmine, Farzana, Kasturiratne, Anuradhani, Muhammad Kibriya, Mohlke, Karen L., Paré, Guillaume, Prasad, Gauri, Mohammad Shahriar, Chee, Miao Ling, de Silva, H. Janaka, Engert, James C., Gerstein, Hertzel C., Mani, K. Radha, Sabanayagam, Charumathi, Vujkovic, Marijana, Wickremasinghe, Ananda R., Wong, Tien Yin, Yajnik, Chittaranjan S., Salim Yusuf, Habibul Ahsan, Bharadwaj, Dwaipayan, Anand, Sonia S., Below, Jennifer E., Boehnke, Michael, Bowden, Donald W., Chandak, Giriraj R., Cheng, Ching-Yu, Kato, Norihiro, Mahajan, Anubha, Sim, Xueling, McCarthy, Mark I., Morris, Andrew P., Kooner, Jaspal S., Saleheen, Danish, Chambers, John C.

“…The loci are enriched for regulatory features, including DNA methylation and gene expression in relevant tissues, and highlight CHMP4B, PDHB, LRIG1 and other genes linked to adiposity and glucose metabolism. A polygenic risk score based on South Asian-derived summary statistics shows ~4-fold higher risk for T2D between the top and bottom quartile. …”
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Short-wave infrared cavity resonances in a single GeSn nanowire by Kim, Youngmin, Assali, Simone, Joo, Hyo-Jun, Koelling, Sebastian, Chen, Melvina, Luo, Lu, Shi, Xuncheng, Burt, Daniel, Ikonic, Zoran, Nam, Donguk, Moutanabbir, Oussama

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Outcome assessment for out-of-hospital cardiac arrest patients in Singapore and Japan with initial shockable rhythm by Okada, Yohei, Shahidah, Nur, Ng, Yih Yng, Chia, Michael Y. C., Gan, Han Nee, Leong, Benjamin S. H., Mao, Desmond R., Ng, Wei Ming, Irisawa, Taro, Yamada, Tomoki, Nishimura, Tetsuro, Kiguchi, Takeyuki, Kishimoto, Masafumi, Matsuyama, Tasuku, Nishioka, Norihiro, Kiyohara, Kosuke, Kitamura, Tetsuhisa, Iwami, Taku, Ong, Marcus Eng Hock

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Predicting glaucoma progression using deep learning framework guided by generative algorithm by Hussain, Shaista, Chua, Jacqueline, Wong, Damon, Lo, Justin, Kadziauskiene, Aiste, Asoklis, Rimvydas, Barbastathis, George, Schmetterer, Leopold, Yong, Liu

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Energy transfer driven brightening of MoS2 by ultrafast polariton relaxation in microcavity MoS2/hBN/WS2 heterostructures by Hu, Zehua, Krisnanda, Tanjung, Fieramosca, Antonio, Zhao, Jiaxin, Sun, Qianlu, Chen, Yuzhong, Liu, Haiyun, Luo, Yuan, Su, Rui, Wang, Junyong, Watanabe, Kenji, Taniguchi, Takashi, Eda, Goki, Wang, Renshaw Xiao, Ghosh, Sanjib, Dini, Kevin, Sanvitto, Daniele, Liew, Timothy Chi Hin, Xiong, Qihua

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High-quality semiconductor fibres via mechanical design by Wang, Zhixun, Wang, Zhe, Li, Dong, Yang, Chunlei, Zhang, Qichong, Chen, Ming, Gao, Huajian, Wei, Lei

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AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

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Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community by Zhang, Chengyu, Sánchez, Benjamín J., Li, Feiran, Cheng, Eiden Wei Quan, Scott, William T., Liebal, Ulf W., Blank, Lars M., Mengers, Hendrik G., Anton, Mihail, Rangel, Albert Tafur, Mendoza, Sebastián N., Zhang, Lixin, Nielsen, Jens, Lu, Hongzhong, Kerkhoven, Eduard J.

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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…Since the existing methods show either low accuracy in derived parameters of the PV array or too much complexity in their calculation, in Chapter 3, we proposed a Chebyshev functional link neural network (CFLNN) to model the PV module. …”
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