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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From node embedding to community embedding on graphs by Cavallari, Sandro

“…On such platforms, the users’ information is explicitly provided and most of the information is implicitly contained in the links between different users. In robotics, it is possible to achieve more a “human-like” movement of an artificial skeleton if we represent the interaction of each major joint rather than adopting an independent approach. …”
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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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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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Innovation and firm survival: the role of timing, funding, and networks by Gao, Ming

“…There is a large body of literature that provides empirical evidence for the debate regarding the positive and negative links between firms’ innovation and survival. While many studies have discussed how innovation influences firms’ survival, little has been done to explore how this relationship is shaped by other factors. …”
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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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Signal processing for cooperative cognitive radio networks by Rabiee, Ramtin

“…For example, cooperative spectrum sensing (CSS), which is suggested to solve the hidden terminal problem, entails two important parameters as the quality of reporting channels (links between secondary users and fusion center) and the number of cooperative users. …”
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Cell-free hemoglobin mediated oxidative stress is associated with acute kidney injury and renal replacement therapy in severe falciparum malaria: an observational study by Plewes, Katherine, Kingston, Hugh W.F., Ghose, Aniruddha, Maude, Richard J., Herdman, M. Trent, Leopold, Stije J., Ishioka, Haruhiko, Hasan, Md. Mahtab Uddin, Haider, Md. Shafiul, Alam, Shamsul, Piera, Kim A., Charunwatthana, Prakaykaew, Silamut, Kamolrat, Yeo, Tsin Wen, Faiz, Md. Abul, Lee, Sue J., Mukaka, Mavuto, Turner, Gareth D. H., Anstey, Nicholas M., Jackson Roberts II, L., White, Nicholas J., Day, Nicholas P. J., Hossain, Md. Amir, Dondorp, Arjen M.

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Physiological stress responses and meat quality of rabbits subjected to different road transportation and slaughter methods by Khadijah, Nakyinsige

“…This study describes the link between physiological stress responses to transport and slaughter to meat quality using rabbit as a model. …”
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Effects of nnav1.5 expression modulation on mhc I antigen processing machinery and invasion potential of breast cancer cells by Din, Ahmad Hafiz Murtadha Noor

“…Loss of immune surveillance enables cancer cells to metastasize hence this study is to explore the possible role of nNav1.5 in regulating the expression of immune components, MHC I antigen processing machinery (APM), which is deregulated in breast cancer. Several reports link VGSC and APM in neurons, but the correlation between nNav1.5 and APM in breast cancer is unknown. …”
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