Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors by Abderrahim Allal, Zakaria Lammouchi, Abderrahmane Khechekhouche, Naoui Mohamed, Khalid Alqunun, Amer Alghadhban, Ismail Marouani, Tawfik Guesmi

“…Induction motors, known for their reliability and efficiency, are widely used in various industrial applications. …”
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Within-species variation in the gut microbiome of medaka (Oryzias latipes) is driven by the interaction of light intensity and genetic background by Evangelista, Charlotte, Kamenova, Stefaniya, Diaz Pauli, Beatriz, Sandkjenn, Joakim, Vøllestad, Leif Asbjørn, Edeline, Eric, Trosvik, Pål, de Muinck, Eric Jacques

“…We observed significant differences in the gut microbiome composition and richness between the two lines, and this effect was mediated by light intensity. …”
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Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

“…Feature selection was performed using Recursive Feature Elimination and Backward Feature Elimination to enhance model efficiency. Hyperparameter tuning was applied to optimize classification performance, and k-fold cross-validation with statistical significance testing was used to assess generalization and validate model performance differences. …”
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13-valent Pneumococcal Conjugate Vaccine and Haemophilus Influenzae-Tetanus Toxoid Conjugate Vaccine in Patient with Systemic Juvenile Idiopathic Arthritis Receiving Tocilizumab: C... by Ekaterina I. Alekseeva, Dar’ya D. Van’kova, Tatyana M. Dvoryakovskaya, Kseniya B. Isaeva, Rina V. Denisova, Anna V. Mamutova, Aleksandra M. Chomahidze, Nikolay A. Mayanskiy, Natalya E. Tkachenko, Maria V. Kurdup, Tatyana V. Radygina, Irina V. Zubkova

“…Their clinical course differs: slight clinical presentation, reference ranges of laboratory tests of disease activity (ESR, C-reactive protein), significant changes in lungs and paranasal sinuses according to the computer tomography. …”
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Combination of suspect and nontarget screening with exposure assessment for per- and polyfluoroalkyl substance prioritization in Chinese municipal wastewater by Hongxin Mu, Ling Chen, Rong Zhou, Luyao Gu, Yue Yu, Jin Tang, Houhu Zhang, Hongqiang Ren, Bing Wu, Yuanqing Bu

“…In addition, there were significant regional differences in the PFAS risk distribution, and the PFAS risk in eastern China was higher than that in other regions. …”
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Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters by Tianning Yao, Liang Sun, Lin Geng, Yao Xu, Ziqi Xu, Kuntao Hu, Xing Chen, Pan Liao, Jin Wang

“…The results indicated significant differences in user needs across various functional spaces, with commercial-oriented areas emphasising environmental attractiveness and comfort, while transport-oriented spaces prioritised access efficiency and safety. …”
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Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines by Ting Wu, Duo Chen, Qiqi Chen, Rui Zhang, Wenyu Zhang, Yuejun Li, Ling Zhang, Hongyi Liu, Suiren Wan, Tianzi Jiang, Junpeng Zhang

“…The leave-one-subject-out cross-validation strategy was used to test the ability of this approach to overcome individual differences. The results revealed that the nodal degree performed best for left TLE versus healthy control and right TLE versus healthy control, with accuracy of 80.76% and 75.00%, respectively. …”
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Genetic selection for growth, wood quality and resin traits of potential Slash pine for multiple industrial uses by Xianyin Ding, Yini Zhang, Jiaming Sun, Zifeng Tan, Qinyun Huang, Shu Diao, Yadi Wu, Qifu Luan, Jingmin Jiang

“…This study aims to understand the genetic basis of key industrial traits in Slash pine (Pinus elliottii Engelm. var. elliottii) to enhance improvement efficiency. Detailed analyses were conducted on inter-family differences, genetic parameters, correlations, and breeding values (BVs) for growth, wood properties, and resin traits of Slash pine planted in Changle Forest Farm of Hangzhou, leading to the identification of elite families. …”
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Spatial and temporal characteristics of water conservation services and rapid response framework for water yield in key ecological zones of the Yiluo River basin by Junqiang Xu, Fan Wang, Chao Ren, Jianmin Bian, Tao Li, Zikai Ping

“…The high value of water conservation goes mainly in the forested mountainous areas of the upper reaches of the Yi River and concentrated in July–October, seasonal differences in the amount of water conservation are mainly influenced by precipitation (correlation of 0.79), and potential evapotranspiration determines its lower limit value. …”
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Identification of miRNAs Involved in Lipid Metabolism and Tuber Development in <i>Cyperus esculentus</i> L. by Yunfei Gao, Le Wang, Shanshan Cao, Liangyu Chen, Xueying Li, Weixuan Cong, Songnan Yang, Jian Zhang, Xiaojun Nie, Jun Zhang

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Clinical results of using a silver-containing preparation as part of an antimicrobial spacer in the treatment of periprosthetic hip joint infection by Svetlana A. Bozhkova, Magomed Sh. Gadzhimagomedov, Rashid M. Tikhilov, Vasily A. Artyukh, Alexander P. Antipov, Alexander V. Afanasyev, Sergey S. Toropov, Yulia V. Muravyeva

“…The differences were considered significant at p < 0.05. …”

Consumo energético, eficiencia de campo y cobertura vegetal en labranza-siembra de maíz en el Valle del Cauca, Colombia by Herrera G Oscar A., Chaparro O., Peña C. J.

“…SD showed well-known differences with regard to the other till-planting systems, concerning on ground vegetal cover conservation.&#13; &#13; Key words: Zea mays, cotton, tillage energy audit, live mulches.…”
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A STUDY OF THE EFFECTIVENESS OF DISTANCE LEARNING AT A MEDICAL UNIVERSITY IN UKRAINE by H.Yu. Morokhovets, Yu.V. Lysanets, O.M. Bieliaieva, S.A. Stetsenko, O.A. Shlykova

“…Experimental testing showed differences between the general impression of the organization of distance learning among students and the level of knowledge they acquired during distance learning. …”
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The effect of a new in-hospital trauma care model on the outcomes of severely injured trauma patients in the emergency department: a retrospective observational study in China by Qiu Zhao, Yue Zhao, Tingting Ke, Caili Lin, Yao Xu, Yuanyuan Xu, Shuli Liu, Xinqun Li

“…This study aimed to investigate whether a new in-hospital trauma care model can improve emergency care efficiency and enhance the prognosis of severely injured trauma patients. …”
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Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes by Jun Liu, Li Hua, Fei Wang, Ming Chen, Yinan Sun, Zhi Hu, Luqing Shu, Andong He, Mengxiao Liu, Qing Yang, Juan Zhu, Yinfeng Qian

“…Results Significant differences in diffusion parameters were found between benign and metastatic RLNs, except for αCTRW (p ≤ 0.022). …”
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Dietary Supplementation of an Organic Acid-Based Feed Attractant in Juvenile Largemouth Bass (<i>Micropterus salmoides</i>): Effects on Growth, Morphohistology, and Oxidative Stres... by Guohe Cai, Zhizhong Li, Miao Yu, Mingya Huang, Pengao Liu, Xiudan Tang, Qizhe Huang, Zhixue Guo, Yunzhang Sun

“…After 56 days of feeding, no significant differences were observed in final body weight (FBW) or whole-body composition (<i>p</i> > 0.05). …”
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Sleeping for two: a cross-sectional study on associations between objectively measured sleep during early to mid-pregnancy and maternal and fetal outcomes and inflammatory biomarke... by Caitlin Macdonald, Tryfonas Pitsillos, Anna-Karin Wikström, Alkistis Skalkidou, Peter Meerlo, Jocelien Olivier, Jelmer Prins, Inger Sundström Poromaa, Theodora Kunovac Kallak

“…Sleep groups did not differ in metabolic factors. Poor sleep was associated with an increased likelihood of requiring an emergency caesarean section (AOR = 1.86, 95% CI 1.13–3.05). …”
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Milk fatty acids and rumen composition as proxy measures of enteric methane by Timothy P. Bilton, Sharon M. Hickey, Arjan Jonker, Kathryn McRae, Melanie K. Hess, Benjamin J. Perry, Brooke Bryson, Hannah Henry, Wendy Bain, Fern Booker, Barry Veenvliet, Jacqueline Peers-Adams, Gerrard Pile, Erin Waller, Peter H. Janssen, Kathryn M. Tiplady, Peter Reid, Stefan Muetzel, Michael Agnew, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…Rumen samples were processed to generate VFA and metagenomic profiles of the rumen microbial community, and fatty acid profiles and mid-infrared spectra were generated for the milk samples. Although no differences in total fat, protein, and lactose percentages in the milk were found, the milk fatty acid profiles differed between methane selection lines, with higher PUFA and branched-chain fatty acids levels, and lower total SFA contents in ewes from the low-methane line. …”
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HIV-1 Gag-protease-driven replicative capacity influences T-cell metabolism, cytokine induction, and viral cell-to-cell spread by Omolara O. Baiyegunhi, Kensane Mthembu, Ann-Kathrin Reuschl, Doty Ojwach, Omotayo Farinre, Murunwa Maimela, Sheila Balinda, Matt Price, Madeleine J. Bunders, Marcus Altfeld, Clare Jolly, Jaclyn Mann, Thumbi Ndung’u

“…These findings highlight distinct biological differences between high and low RC viruses, providing valuable insights into the mechanisms that may underpin varying clinical outcomes. …”
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Effect of the diet level of whole-plant corn silage on the colonic microflora of Hezuo pigs by Qiaoli Yang, Longlong Wang, Pengfei Wang, Zunqiang Yan, Qiong Chen, Pengxia Zhang, Jie Li, Rui Jia, Yao Li, Xitong Yin, Shuangbao Gun

“…PICRUSt functional annotation indicated that the functions of cellular process and signaling were significantly increased in all WPCS-rationed groups, cancers, nervous system, immune system and environmental adaptation were all differed from groups I and II; three predominant pathways of translation, nucleotide metabolism and signal were only differed from the group II. …”
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