by Hsuan-An Chen, Shuo-Ting Hsu, Ming-Ju Hsieh, Shyh-Shyong Sim, Sheng-En Chu, Wen-Shuo Yang, Yu-Chun Chien, Yao-Cheng Wang, Bin-Chou Lee, Edward Pei-Chuan Huang, Hao-Yang Lin, Matthew Huei-Ming Ma, Wen-Chu Chiang, Jen-Tang Sun
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by Elena Biffi, Zachary Turple, Jessica Chung, Alessandro Biffi
IntroductionCerebral Small Vessel Disease (CSVD), a progressive degenerative disorder of small caliber cerebral vessels, represents a major contributor to stroke and vascular dementia incidence worldwide. We sought to conduct a systematic review of the role of retinal biomarkers in diagnosis and characterization of CSVD.
MethodsWe conducted a systematic review of MEDLINE, PubMed, Scopus, the Cochrane Library Database, and Web of Science. Читать дальше...
by Elisa Garuglieri, Jenny Marie Booth, Marco Fusi, Xinyuan Yang, Ramona Marasco, Tumeka Mbobo, Emanuela Clementi, Luciano Sacchi, Daniele Daffonchio
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by Kazunori Shimizu, Yaichi Kawakatsu, Ken-ichi Kurotani, Masahiro Kikkawa, Ryo Tabata, Daisuke Kurihara, Hiroyuki Honda, Michitaka Notaguchi
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by Kota Mameno, Takahiro Kubo
The abandonment of irrigated paddy land has increased in Japan, which can cause a decline in food security and biodiversity. Despite the importance of individual decisions, most studies have only examined regional or community-based determinants of paddy land abandonment. This study aimed to uncover the socio-economic determinants affecting individual landowners’ decisions to abandon paddy land, using Japanese agricultural census data (2005, 2010, and 2015) composed... Читать дальше...
by Shuyan Sheng, Wenzhuo Su, Deshen Mao, Conghan Li, Xinyang Hu, Wanyu Deng, Yong Yao, Yongsheng Ji
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by Tae Won Lee, Wooram Bae, Seongmin Kim, Jungyoon Choi, Eunjin Bae, Ha Nee Jang, Se-Ho Chang, Dong Jun Park
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by Shuo Yang, Wei He, Lu Zhao, Yaochuan Mi
BackgroundThis study aimed to compare the efficacies of sodium-glucose cotransporter 2 (SGLT-2) inhibitors, glucagon-like peptide 1 (GLP-1) agonists, and dipeptidyl peptidase 4 (DPP-4) inhibitors on kidney outcomes in patients with type 2 diabetes using network meta-analysis.
MethodsPubMed, EMBASE, and CENTRAL were searched for studies published up to September 28, 2020. Randomized clinical trials enrolling participants with type 2 diabetes were included... Читать дальше...
by Lucas D. Fernandes, Angelica S. Mata, Wesley A. C. Godoy, Carolina Reigada
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by Yvonne J. Kuipers, Roxanne Bleijenbergh, Laura Van den Branden, Yannic van Gils, Sophie Rimaux, Charlotte Brosens, Astrid Claerbout, Eveline Mestdagh
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by Nan Sun, Xiabo Li, Fan Luo, Liang Xiao
The objective of this paper is to examine the representativeness of charcoal taxa at archeological sites in northern China. We carried out standardized laboratory compression tests on 168 samples representing 21 taxa charred at four different temperatures to characterize the mechanical properties of common taxa in temperate China. The results indicate that significant fragmentation differences occur between taxa. Ring-porous/semi-ring-porous taxa... Читать дальше...
by Andrew G. Cheetham, Susan Plunkett, Preston Campbell, Jacob Hilldrup, Bonnie G. Coffa, Stan Gilliland III, Steve Eckard
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by Patrick C. Stone, Christina Chu, Chris Todd, Jane Griffiths, Anastasia Kalpakidou, Vaughan Keeley, Rumana Z. Omar, Victoria Vickerstaff
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by Gabrielle N. Gaultier, Eli B. Nix, Joelle Thorgrimson, Douglas Boreham, William McCready, Marina Ulanova
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by The PLOS ONE Editors
by Chenyang Lin, Yuxin Tong, Yaying Bai, Zixi Zhao, Wenxiang Quan, Zhaorui Liu, Jiuju Wang, Yanping Song, Ju Tian, Wentian Dong
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by Sangjun Son, Yong-chan Park, Minyong Cho, U. Kang
How can we accurately and efficiently decompose a tensor stream? Tensor decomposition is a crucial task in a wide range of applications and plays a significant role in latent feature extraction and estimation of unobserved entries of data. The problem of efficiently decomposing tensor streams has been of great interest because many real-world data dynamically change over time. However, existing methods for dynamic tensor decomposition sacrifice the accuracy too much... Читать дальше...
by Ambachew W. Hailu, Abraham Degarege, Beyene Petros, Damien Costa, Yonas Yimam Ayene, Ven-ceslas Villier, Abdelmounaim Mouhajir, Loic Favennec, Romy Razakandrainibe, Haileeysus Adamu
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by Nadia N. Abuelezam, Kristina L. Greenwood, Sandro Galea, Raed Al-Naser
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by Min Kyu Yang, Ho-Seok Sa, Namju Kim, Hyun Sun Jeon, Joon Young Hyon, Hokyung Choung, Sang In Khwarg
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by Daisuke Furukawa, Yoshitaka Yamanaka, Hajime Kasai, Takashi Urushibara, Tomokazu Ishiwata, Sachiyo Muranishi
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by Jazmin Cruz, James Yang
A previously developed joint-space metabolic energy expenditure (MEE) model includes subject-specific parameters and was validated using level walking gait data. In this work, we determine how well this joint-space model performs during various walking grades (-8%, 0%, and 8%) at 0.8 m·s ⁻1 and 1.3 m·s ⁻1 using published gait data in the literature. In response to those results, we formulate an optimization problem and solve it through the particle swam method plus... Читать дальше...
by Hiu-Lam Ngai, Xiao Yang, Adrian Jun Chu, Rachel Harper, Alice B. J. E. Jacobsen, David Tai-Wai Lau, Ho-Yin Yu, Hung-Kay Lee, Pang-Chui Shaw
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