by Mulugeta W/mariam Beyen, Gizachew Abdissa Bulto, Eshetu Ejeta Chaka, Bikila Tefera Debelo, Ephrem Yohannes Roga, Negash Wakgari, Kababa Temesgen Danusa, Daniel Belema Fekene
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by Paul S. R. Goods, Alannah K. McKay, Brendyn Appleby, David Veli, Peter Peeling, Denise Jennings
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by Justin Zobel, Felisa J. Vázquez-Abad, Pauline Lin
Machine learning is widely used for personalisation, that is, to tune systems with the aim of adapting their behaviour to the responses of humans. This tuning relies on quantified features that capture the human actions, and also on objective functions—that is, proxies – that are intended to represent desirable outcomes. However, a learning system’s representation of the world can be incomplete or insufficiently rich, for example if users’... Читать дальше...
by Xiangjun Yang, Lu Li, Wuyun Zhao, Xuan Li, Yongsong Mu, Maohan Chen, Xiaoqiang Wu
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by Xiaofei Pan, Buhui Qiu
Using comprehensive flood data from China, we find a significant, negative impact of flooding on firm performance, which is mainly driven by unexpected flooding. We use multiple identification strategies to address endogeneity concerns and find that the documented impact of flooding on firm performance is likely causal. The impact is more pronounced for firms with more tangible asset investment, firms located in cities with low government quality, firms facing tight financial constraints... Читать дальше...
by Xiaona Wang, Jun Chen, Hui Xiong, Xuhui Yu
ObjectiveTo systematically review the relationship between genotypes and clinical phenotypes of Familial exudative vitreoretinopathy (FEVR) to support risk estimation and therapeutic decisions.
DesignSystematic review with meta-analysis.
Data sourcesThe data of our study were collected from PubMed, Embase, Web of Science, Cochrane, CBM, China National Knowledge Infrastructure (CNKI), WAN FANG and VIP databases since inception to August 2021. Читать дальше...
by Chenyun Miao, Yun Chen, Xiaojie Fang, Ying Zhao, Ruye Wang, Qin Zhang
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by Yongjie Wang, Yuan Liu, Yuqun Hu
With the development of information technology, improving the efficiency of public services with the help of the Internet has become an important work of local governments. However, under different institutional environments, the impact mechanism of Internet development on the supply efficiency of government public services is still unclear. Based on China’s interprovincial panel data from 2011 to 2019, this paper constructs a threshold effect model, sets... Читать дальше...
by Hayato Taniguchi, Aimi Ohya, Hidehiro Yamagata, Masayuki Iwashita, Takeru Abe, Ichiro Takeuchi
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by Alemu Lemma, Woredaw Minichil, Endalamaw Salelew, Jinenus Tadesa, Habtamu Kerebih, Kabtamu Nigussie, Demeke Demilew, Shegaye Shumet
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by Hassan Salame, Rashad Nawfal, Jad Kassem, Remy Mckey, Ali Kassem, Nayef AlKhalil, Mohamad Saleh, Ali H. Abdel Sater, Ali Ibrahim, Linda Abou-Abbas, Oussaima Eldbouni, Hoda Khatoun, Bassam Matar
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by Wytze J. Vlietstra, Rein Vos, Erik M. van Mulligen, Guido W. Jenster, Jan A. Kors
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by Paula K. Edelson, Michala R. Sawyer, Kathryn J. Gray, David E. Cantonwine, Thomas F. McElrath, Mark Phillippe
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by Rekib Ahmed, Anup Saikia
Railways are an indispensable component of sustainable transportation systems, but also exact a toll on wildlife. Wild Asian elephants are often killed by trains in Assam, India, where we assess temporal variations in the occurrences of elephant-train collisions (ETCs) and casualties during 1990–2018. This study also assesses spatially varying relationships between elephant-train collision (ETC) rates and elephant and train densities in the adjoining 10 km2 grid... Читать дальше...
by Xiao Liu, Randy Seevers, Hongyi Lin
Information and Communication Technologies (ICTs) applications have become a vital part for MICE industry. MICE higher education is expected to provide their graduates with essential management knowledge and ICTs operational skills to meet the industry demands on the rise. This empirical study investigates the perceptions of employability skills for MICE management in the context of ICTs. Based on the questionnaire (n = 95), an initial 16 employability... Читать дальше...
by Shengyue Chen, Zhenyu Zhang, Juanjuan Lin, Jinliang Huang
Accurate and sufficient water quality data is essential for watershed management and sustainability. Machine learning models have shown great potentials for estimating water quality with the development of online sensors. However, accurate estimation is challenging because of uncertainties related to models used and data input. In this study, random forest (RF), support vector machine (SVM), and back-propagation neural network (BPNN)... Читать дальше...
by Momodou Jasseh, Anne J. Rerimoi, Georges Reniers, Ian M. Timæus
ObjectiveTo assess whether an adapted Demographic and Health Survey (DHS) like cross-sectional household survey with full pregnancy histories can demonstrate the validity of health and demographic surveillance (HDSS) data by producing similar population structural characteristics and childhood mortality indicators at two HDSS sites in The Gambia–Farafenni and Basse.
MethodsA DHS-type survey was conducted of 2,580 households in the Farafenni HDSS... Читать дальше...
by Xinyi Chen, Beatriz Munoz, Harran Mkocha, Charlotte A. Gaydos, Laura Dize, Thomas C. Quinn, Sheila K. West
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by Chloe R. McDonald, Aleksandra Leligdowicz, Andrea L. Conroy, Andrea M. Weckman, Melissa Richard-Greenblatt, Michelle Ngai, Clara Erice, Kathleen Zhong, Sophie Namasopo, Robert O. Opoka, Michael T. Hawkes, Kevin C. Kain
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by Boyan Tang, Tingting Tan, Yating Chen, Zongli Hu, Qiaoli Xie, Xiaohui Yu, Guoping Chen
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by Chris Morgan, Emilie Knight, Kirsten Bomblies
Genome duplication, which leads to polyploidy, poses challenges to the meiotic segregation of the now-multiple homologous chromosome copies. Genome scan data showed previously that adaptation to polyploid meiosis in autotetraploid Arabidopsis arenosa is likely multigenic, involving genes encoding interacting proteins. But what does this really mean? Functional follow-up studies to genome scans for multigenic traits remain rare in most systems... Читать дальше...
by Yu Wang, Fengzhu Sun, Wei Lin, Shuqin Zhang
Confounding factors exist widely in various biological data owing to technical variations, population structures and experimental conditions. Such factors may mask the true signals and lead to spurious associations in the respective biological data, making it necessary to adjust confounding factors accordingly. However, existing confounder correction methods were mainly developed based on the original data or the pairwise Euclidean distance,... Читать дальше...
by Chintan J. Joshi, Wenfan Ke, Anna Drangowska-Way, Eyleen J. O’Rourke, Nathan E. Lewis
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by Fabian Fröhlich, Peter K. Sorger
Ordinary differential equation (ODE) models are widely used to study biochemical reactions in cellular networks since they effectively describe the temporal evolution of these networks using mass action kinetics. The parameters of these models are rarely known a priori and must instead be estimated by calibration using experimental data. Optimization-based calibration of ODE models on is often challenging, even for low-dimensional problems. Multiple hypotheses... Читать дальше...
Ioka Dominates Nietes In Return Fight, Wins By Commanding Unanimous Decision Earlier today in Tokyo, Japan, reigning WBO junior-bantamweight champion ... more
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