Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…Demographic characteristics，initial vital signs，laboratory data，functional scores，and complications within the initial 24⁃hour of ICU admission were collected. …”
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The Negative Regulatory Role of Transcriptional Regulator H-NS on the Type VI Secretion System in Acinetobacter baumannii by Zhang Y, Zhou H, Kong J, Hu P, Zhang Y, Cao J, Zhou B

“…RT-qPCR results indicated that H-NS functions as a negative regulator of the T6SS-related gene hcp in A. baumannii. …”
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Development of an efficient heterologous protein expression platform in Aspergillus niger through genetic modification of a glucoamylase hyperproducing industrial strain by Fufan Gou, Dandan Liu, Chaohui Gong, Kefen Wang, Xingji Wang, Yefu Chen, Qian Liu, Chaoguang Tian

“…To address these limitations, this study genetically engineered a chassis strain based on an industrial glucoamylase-producing A. niger strain AnN1 for constructing the improved heterologous protein expression. …”
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Validation of the Russian-language version of Ankylosing Spondylitis Quality of Life (ASQoL) questionnaire by L. D. Vorobyova, T. V. Dubinina, A. O. Sablina, A. B. Demina, E. V. Ilinykh, K. V. Sakharova, I. A. Andrianova, T. V. Korotaeva, L. V. Ivanova

“…Assessment of patient reported outcomes included an assessment of spinal pain, night spinal pain, spinal pain during the day using a numerical rating scale, patient’s global assessment of health, assessment of functional status using BASFI index and health related quality of life (HRQoL) using EQ-5D, SF-36 and ASQoL questionnaires. …”
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A randomized trial of adapted versus standard versions of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction implemented via facilitation and delivered by communi... by Allison G. Harvey, Emma R. Agnew, Rafael Esteva Hache, Julia M. Spencer, Marlen Diaz, Estephania Ovalle Patino, Anne Milner, Lu Dong, Amy M. Kilbourne, Daniel J. Buysse, Catherine A. Callaway, Laurel D. Sarfan

“…TSC’s benefits for functional impairment and psychiatric symptoms were mediated by improvements in sleep and circadian problems. …”
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Bioinformatics Analysis Identifies Lipid Droplet‐Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer by Vijayalakshmi N. Ayyagari, Miao Li, Paula Diaz‐Sylvester, Kathleen Groesch, Teresa Wilson, Ejaz M. Shah, Laurent Brard

“…From the same pool of survival‐associated DE‐LDAGs, a six‐gene diagnostic model was constructed using LASSO, ROC analysis, and logistic regression. …”
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MicroRNA analysis of porcine muscle tissue involved in phosphoinositol metabolism by Yuxiao Xie, Yuxiao Xie, Wenjie Cheng, Meilin Hao, Lan-lan Yi, Jun-hong Zhu, Yan-guang Zhao, Sumei Zhao

“…The target genes corresponding to the differentially expressed miRNAs were subjected to functional annotation, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genomes (KEGG) pathway enrichment analysis.Results241 known conserved miRNAs sequences and 20 novel miRNAs in the Diannan small ear pigs library and known conserved miRNAs sequences and 22 novel miRNAs in the Landrace pigs library were identified. …”
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Interfered long non-coding RNA HELLPAR or up-regulated microRNA-448 inhibits nasopharyngeal carcinoma progression via suppression of ADAM10 by Wenjuan Zhu, Qi Yang, Huijun Yang, Mingtao Qian, Yan Ji, Jianyong Liu

“…Mechanistically, HELLPAR functioned as a competitive endogenous RNA (ceRNA) by binding to miR-448, thereby downregulating its RNA expression. …”
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A comparative genomic study across 396 liver biopsies provides deep insight into FGF21 mode of action as a therapeutic agent in metabolic dysfunction‐associated steatotic liver dis... by Shifang Tang, Jürgen Borlak

“…Fibroblast growth factor (FGF21)‐based therapies are effective in lowering hepatic fat content and fibrosis resolution; yet, its molecular functions remain uncertain. To gain insight into FGF21 mode of action (MoA), we investigated the transcriptomes of MASLD liver biopsies in relation to FGF21 expression. …”
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Rumen DNA virome and its relationship with feed efficiency in dairy cows by Xiaohan Liu, Yifan Tang, Hongyi Chen, Jian-Xin Liu, Hui-Zeng Sun

“…Conclusions This study constructed a comprehensive rumen DNA virome profile for Holstein dairy cows, elucidating the structural and functional complexity of rumen viruses, the roles of AMGs, and vOTU-hMAG linkages. …”
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Ardisia japonica (Thunb.) Blume and Lespedeza cuneata G. Don may treat chronic obstructive pulmonary disease by targeting HK2 and PTAFR by Xian Luo, Zheng Hang Ge, Shan Luo, Bo Li, Xun Zhou, Yi Yang, Yong Jiang, Tao Tan, Ke Lin Wang

“…Key genes were then confirmed through gene expression analysis in the GSE124180 and GSE42057 datasets. A nomogram was constructed based on these genes to assess COPD risk, followed by validation. …”
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Pharmacoeconomic analysis of the use of tocilizumab in therapy for rheumatoid arthritis:imitation simulation by Dmitry Vladimirovich Goryachev, Sh F Erdes, E L Nasonov

“…A model was constructed, which simulated the progression of functional incompetence in RA patients seeking medical advice in health care facilities of Russia. …”
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The role and mechanism of CLEC7A in regulating PD-L1 to promote ovarian cancer growth by CHEN Yao, SUN Sibai, XU Jun, HE Jie

“…In CLEC7A high-expressing tumor tissues， the proportion of CD8⁺T cells decreased， while the proportion of MDSCs increased， and the functionality of MDSCs was enhanced （all <i>P &lt; </i>0.05）. …”
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Comprehensive analysis of glycometabolism-related genes reveals PLOD2 as a prognostic biomarker and therapeutic target in gastric cancer by Wanchun Ye, Xiaolei Zhang, Zhongjie Tang, Yufeng Hu, Yuanliang Zheng, Yuping Yuan

“…Glycometabolism-related genes were identified and analyzed using machine learning algorithms to construct a prognostic model. Functional assays, immune profiling, and pathway enrichment analyses were performed to explore the roles of these genes in tumor progression, immune-modulatory effects, and drug resistance. …”
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Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis by Hang Chen, Biao Wu, Biao Wu, Kunyu Guan, Liang Chen, Kangjie Chai, Maoji Ying, Dazhi Li, Weicheng Zhao

“…Following this, differential expression analysis and functional evaluations were carried out, after which various machine learning approaches were employed to determine significant diagnostic genes for atherosclerosis. …”
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Network Pharmacology and In Vitro Experimental Validation Reveal the Anti-Inflammatory and Anti-Apoptotic Effects of Lotus Leaf Extract in Treating Inflammatory Diarrhea in Pigs by Yu Zheng, Jiana Zheng, Jiao Wang, Junxin Li, Jiali Liu, Bohan Zheng, Qinjin Li, Xiaohong Huang, Zhaoyan Lin

“…Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were conducted based on the genes shared between disease and LLE targets. …”
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation by Han Chen, Han Chen, Enguang Chen, Enguang Chen, Ting Cao, Feifan Feng, Min Lin, Xuan Wang, Yu Xu

“…A diagnostic nomogram was constructed and its performance assessed via ROC analysis. …”
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miR-34-5p mediates 20E-induced autophagy in the fat body of Bombyx mori by targeting Atg1 by Huili Qiao, Ziqian Tong, Yuanzhuo Wang, Juanjuan Yang, Yanyan Sun, Huixuan Shi, Zhuo Liu, Jianping Duan, Dandan Li, Yunchao Kan

“…Expression and functional analyses were conducted to identify 20E-responsive miRNAs. …”
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Experimental Study on the Acceleration Amplification Ratio of Cable Terminations for Electric Power Facilities by Bub-Gyu Jeon, Sung-Jin Chang, Sung-Wan Kim, Dong-Uk Park, Nakhyun Chun

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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…Furthermore, the ablation studies elucidate the functional disparities among various network architectures. …”
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