Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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Attitude of patients and doctors of government health care system to the basic principles of medical ethics by E. P. Pukhova, O. Yu. Kutumova, D. O. Trufanov

“…Materials and methods. For the selection of respondents was used the representative sample based on gender and age of respondents (for the selection of patients), and by specialty of a medical workers (for doctors). …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…In terms of localization accuracy, the proposed method achieves an improvement of approximately 32.8% over other open source algorithms.…”
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Morphological divergence driven by predation environment within and between species of Brachyrhaphis fishes. by Spencer J Ingley, Eric J Billman, Mark C Belk, Jerald B Johnson

“…Our findings are important because they provide evidence that the same source of selection can drive similar phenotypic divergence independently at multiple divergence levels.…”
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Genome-wide identification and analysis of SmRR gene family in eggplant (Solanum melongena L.) and their response to abiotic stress and auxin by Wenjing Li, Hui Li, Yanyu Lin, Yutong Li, Xiaofang Xie, Xuefang Zheng, Weiren Wu, Yuanchang Zhou, Yan Zheng

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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

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Seismic loss analysis of buckling-restrained braced frames considering the effects of modeling uncertainties by A. M. Azimi, E. Khojastehfar

“…The variation of the modulus of elasticity and the yield strength constitute the sources of the uncertainties  for this study. The two-dimensional 4-, 8-, and 12-story frames ,selected from symmetrical three-dimensional structures, were studied. …”
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LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

“…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
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Dietary Jerusalem artichoke polysaccharide supplementation alters the growth performance, ruminal microbes and metabolites, muscle fatty acid and amino acid profiles in fattening l... by Cuihua Guo, Dongmei Ma, Chongyu Zhang, Yunpeng Wang, Farman Ullah, Xiaojun Wang, Yunkyoung Lee, Guiguo Zhang

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Identification and odor exposure regulation of odorant-binding proteins in Picromerus lewisi by Shan-Cheng Yi, Jia-Ling Yu, Sara Taha Abdelkhalek, Sara Taha Abdelkhalek, Zhi-Rong Sun, Man-Qun Wang

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Estimating fish stock biomass using a Bayesian state-space model: accounting for catchability change due to technological progress by Makoto Nishimoto, Yoshinori Aoki, Naoto Matsubara, Paul Hamer, Yuichi Tsuda

“…This model allows for the flexible integration of the timing and functional form of the uptake of technological innovations that are assumed to influence catchability. …”
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NaCl-induced soil stress regulates the diversity of soil bacteria and their ability to metabolize low molecular weight organic acids by Adhari Al-Kalbani, Daniel Menezes-Blackburn, Jinan Waladwadi, Said Al-Ismaily, Buthaina Al-Siyabi

“…This study demonstrated that soil salinity is a strong regulator of soil microbial diversity and function, as reflected by a marked decrease in the responsiveness of soil microbes to various root exudate carbon sources.…”
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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

“…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…Compared with the measured oxygen activation spectrum peak, the Gaussian function exhibited a high degree of morphological similarity. …”
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Evaluation of hypoxia-inducible factor-1α and urine non-transferrin-bound iron concentrations in cats with chronic kidney disease by Chien-Hui Chen, Chien-Hui Chen, Wei-Li Hsu, Pei-Shiue Jason Tsai, Chun-Fu Lai, Meng-Ting Wu, Ya-Jane Lee, Ya-Jane Lee

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Cognitive bias modification for social anxiety: protocol for a living systematic review of human studies and meta-analysis [version 2; peer review: 2 approved, 1 approved with rese... by Paulina Schenk, Virginia Chiocchia, Hossein Dehdarirad, Janna Hastings, Claire Stansfield, Toshi Furukawa, Simon E. Blackwell, Ava Homiar, Thomy Tonia, Per Carlbring, Kelvin Opiepie, Claire Friedrich, Simonne Wright, Susan Michie, Georgia Salanti, Richardson Mojica, James Thomas, Jaycee Kennett, Andrea Cipriani, Jennifer Potts

“…Cases of elevated distress and impaired functioning can lead to a clinical diagnosis of social anxiety disorder. …”
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Diagnostics and restorative treatment of accommodation astenopia from the position of applied methods, effectiveness and staging: systematic review by I. G. Ovechkin, D. A. Shavshina, E. I. Belikova

“…A systematic review was performed using the RSCI and PubMed databases, with the following search keywords: “accommodation”, “asthenopia”, “computer vision syndrome”, “quality of life”, “visual performance”. The sources were selected according to the criteria of prospective or retrospective studies. …”
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Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

“…Abstract Cellulose, one of the most versatile and abundant biopolymers in nature, has been employed by humans for thousands of years in diverse applications, such as renewable energy resources, structural materials, and fabric constituents. …”
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Stage-specific metabolic allocation: nutrient investment strategies during Lysiphlebia japonica Ashmead development by Tingting Zhou, Ningbo Huangfu, Li Wang, Junyu Luo, Jinjie Cui, Xiangzhen Zhu, Sumei Wan, Xueke Gao

“…Nutrients, particularly lipids and energy-related metabolites, play a critical role in shaping stage-specific growth and survival strategies in parasitic wasps.MethodsTo analyze the allocation patterns of metabolite resources during development of parasitoid wasps, the multi-omics analysis was employed to systematically investigate nutrient dynamics across three growth periods in Lysiphlebia japonica Ashmead, a major parasitoid of cotton aphid (Aphis gossypii Glover).ResultsHere, a total of 753 metabolites were detected by untargeted metabolomics, with numerous nutritionally critical compounds including amino acids, fatty acids and carbohydrates showed stage-specific variations. …”
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Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…We identified 290 selected regions and 332 genes across the Hotan sheep genome by using two widely adopted selective scanning detection methods (FST statistics and Piratio). Functional annotation and enrichment analysis of these genes identified 13 genes associated with the lambing rate, which were enriched in pathways such as the transforming growth factor-β signaling pathway (BMPR2, ID2, SMAD7, THBS1, and RBX1), renal cell carcinoma (PAK1, ELOC), inositol phosphate metabolism (PLCZ), non-homologous terminal junction (RAD50), ABC transporters (ABCC4), and the NET pathway (H2B, H4, and H2A). …”
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