The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning by Fei Gao, Fei Teng, Yuxiang Wan, Qiaoli Zhang, Jinchang Huang

“…Gene set enrichment analysis further delineated the pathways and biological processes enriched in the module hub genes, offering mechanistic insights into HCC. …”
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Aerodynamic Optimization Method for Propeller Airfoil Based on DBO-BP and NSWOA by Changjing Guo, Zhiling Xu, Xiaoyan Yang, Hao Li

“…To address the issues of tedious optimization processes, insufficient fitting accuracy of surrogate models, and low optimization efficiency in drone propeller airfoil design, this paper proposes an aerodynamic optimization method for propeller airfoils based on DBO-BP (Dum Beetle Optimizer-Back-Propagation) and NSWOA (Non-Dominated Sorting Whale Optimization Algorithm). …”
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A pan-crop metagenomic exploration of microbial communities linked to pesticide and xenobiotic degradation pathways in agricultural microbiomes by Ratna Prabha, Mahesh K. Samota, M. K. Verma, Shailendra Gupta, Anil Rai, S. C. Dubey, D. P. Singh

“…For different kinds of xenobiotics components, biodegradation and associated metabolism were analyzed and numerous gene and enzymes associated with these processes were identified. Statistical and computational analyses revealed several significant pathways, including benzoate degradation, central meta-cleavage pathway, salicylate and gentisate catabolism, and phenylacetyl-CoA catabolic pathway. …”
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FACTORS OF SOCIAL AND PSYCHOLOGICAL ADAPTATION OF TEENAGERS TO EDUCATION IN SUVOROV MILITARY SCHOOL by M. V. Ivanova, V. V. Savelyev

“…The research is summative. Statistical processing is carried out using the computer programs STATISTICA 6.0 and MS Excel; the method of multiple regression analysis is used to highlight the personal factors influencing the level of adaptation of pupils of the Suvorov military school. …”
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Moving towards a successful medical-psycho-pedagogical centre: Analytical study of management aspects by A. Kasmi, B. Touri, K. Khennou, H. Baba

“…To collect the information, the directors of these centres were invited to fill in the questionnaire sent by the Google Forms platform, via the e-mail addresses of each centre. The results were processed with IBM SPSS 29.Results and scientific novelty. …”
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RSLpred2: An Integrated Web Server for the Annotation of Rice Proteome Subcellular Localization Using Deep Learning by Naveen Duhan, Rakesh Kaundal

“…The RSLpred2 tool will help the researchers understand many organelle-specific functions, cellular processes, and regulatory mechanisms essential for plant growth, development, and response to environmental stimuli. …”
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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks by Thangadurai Anbazhagan, Balamurugan Rangaswamy

“…ESNs, while effective in processing temporal sequences, are highly sensitive to hyperparameter settings such as spectral radius, input scaling, and sparsity, which directly impact stability, memory retention, and predictive Classification Accuracy (CA). …”
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The Function of Large Vessels in Normal-Weight and Overweight Children With Psoriasis During Methotrexate Therapy by Nikolay N. Murashkin, Olga V. Kogevnikova, Alexander I. Materikin

“…Our aim was to study the effect of systemic cytostatic therapy with methotrexate on the remodelling processes of large vessels in children with psoriasis who have normal and increased body mass index. …”
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Proteomics and machine learning: Leveraging domain knowledge for feature selection in a skeletal muscle tissue meta-analysis by Alireza Shahin-Shamsabadi, John Cappuccitti

“…Omics techniques, such as proteomics, contain crucial data for understanding biological processes, but they remain underutilized due to their high dimensionality. …”
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Associations between meeting 24h movement behavior guidelines and cognition, gray matter volume, and academic performance in children and adolescents: a systematic review by Bo Liu, Peng Shi, Teng Jin, Xiaosu Feng

“…The screening and data extraction processes were conducted by two researchers. This study used the Joanna Briggs Institute checklist for methodological quality assessment and the Grading of Recommendations Assessment, Development, and Evaluation system for the evaluation of the level of evidence. …”
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Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…Functioning as a critical conduit between computer vision and natural language processing, this task holds profound importance in advancing video comprehension. …”
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Digiral marketplaces and their effect to corporates’ business models and structures by Sergey N. Lavrov, Sergey V. Neklyudov

“…The beginning of the era of digitalization is considered to be the 20s of the XX century, when electronic computers were invented, the accelerated development and implementation of which later captured all types of economic activity. …”
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Current Status and Research Trend on Ecological Migration of Radionuclides and Radiation Dose Assessment by LIU Senlin, WU Renjie, ZHANG Xinyu, LI Jinfeng

“…In terms of radionuclide migration, this paper systematically reviews the transport processes and migration models of radionuclides from source term release to atmospheric, terrestrial, surface water (rivers, lakes, etc.), groundwater, and marine environments. …”
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Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Due to the rapid proliferation of social media and online reviews, the accurate identification and classification of controversial texts has emerged as a significant challenge in the field of natural language processing. However, traditional text-classification methodologies frequently encounter critical limitations, such as feature sensitivity and inadequate generalization capabilities. …”
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Comparative framework for analyzing distance metrics in high-dimensional spaces by Дмитро Чернишов, Михайло Козюберда

“…This contributes to more accurate and efficient analytical processes across various fields, including machine learning, data mining, and pattern recognition. …”
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The viral and cellular microRNA targetome in lymphoblastoid cell lines. by Rebecca L Skalsky, David L Corcoran, Eva Gottwein, Christopher L Frank, Dong Kang, Markus Hafner, Jeffrey D Nusbaum, Regina Feederle, Henri-Jacques Delecluse, Micah A Luftig, Thomas Tuschl, Uwe Ohler, Bryan R Cullen

“…Furthermore, targets of EBV miRNAs are involved in multiple cellular processes that are directly relevant to viral infection, including innate immunity, cell survival, and cell proliferation. …”
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Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN by Saravanakumar Pichumani, T. V. P. Sundararajan, S. M. Ramesh

“…Finally, a Federated Learning environment with heterogeneous sensor nodes positioned across the network is considered for performing secure data aggregation. The processing power of each sensor node and size of training data packets can be heterogeneous. …”
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Motor Improvement-Related Regional Cerebral Blood Flow Changes in Parkinson’s Disease in Response to Antiparkinsonian Drugs by Soutarou Taguchi, Nachi Tanabe, Jun-ichi Niwa, Manabu Doyu

“…The SPECT data were processed using Statistical Parametric Mapping 2, the easy Z-score Imaging System, and voxel-based Stereotactic Extraction Estimation. …”
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Atmospheric Photochemical Oxidation of 4-Nitroimidazole by Nayan Kondapalli, Oliver Cernero, Aaron Welch, Aaron W. Harrison

“…Their strong absorption in the near-UV (300–400 nm) makes photochemistry a critical aspect of their atmospheric processing. This study investigates both the direct near-UV photochemistry and hydroxyl radical (OH) oxidation of 4-nitroimidazole (4-NI). …”
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Intrinsic Disorder and Phase Separation Coordinate Exocytosis, Motility, and Chromatin Remodeling in the Human Acrosomal Proteome by Shivam Shukla, Sean S. Lastorka, Vladimir N. Uversky

“…Further analysis of functional enrichment identified associations between disordered regions overlapping with SCOP domains and critical acrosomal processes, including vesicle trafficking, membrane fusion, and enzymatic activation. …”
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