Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment by Ihtisham Bukhari, Ihtisham Bukhari, Mengxue Li, Guangyuan Li, Jixuan Xu, Pengyuan Zheng, Xiufeng Chu, Xiufeng Chu

“…Additionally, we discussed the current challenges of data harmonization and algorithm interpretability for studying LC-IME.…”
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Fault Detection and Isolation Strategy for Brake Actuation Units of High-Speed Trains Under Variable Operating Conditions by Jingxian Ding, Tianyu Xia, Xinzhou Wu, Shize Zheng, Tianyi Wang

“…Firstly, the structural composition and working principle of the BAU were introduced, and its typical failure modes and effects were analyzed. …”
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AN ORDER-P TENSOR MULTIPLICATION WITH CIRCULANT STRUCTURE by Itsar Mangngiri, Qonita Qurrota A’yun, Wasono Wasono

“…Finally, based on the obtained results, an algorithm is constructed in MATLAB to calculate the -product.…”
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Determination of disintegration time using formulation data for solid dosage oral formulations via advanced machine learning integrated optimizer models by Mohammed Ghazwani, Umme Hani

“…Data preprocessing involved Min-Max normalization, outlier detection via Elliptic Envelope, and feature selection using Conditional Mutual Information, with hyperparameters optimized through the Water Cycle Algorithm. Performance was assessed using R², RMSE, and MAE across train, validation, and test sets, with 95% confidence intervals confirming robust predictions. …”
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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree. by Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong

“…Based on such a feature representation, the gradient boosting decision tree algorithm is introduced to predict protein interaction class. …”
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Dynamic Efficiency Analysis of Airborne Cross-Eye Jamming Operations by Sun Jiandong, Chen Jiabei, Gong Songtao, Xu Zhiwei, You Shixun

“…Additionally, it introduces a vector guidance algorithm incorporating physical constraints to model and assess the combat effectiveness of cross-eye jamming in dynamic operational scenarios. …”
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Occupant-Centric Visual Comfort Assessment and Optimization of Passive Solar Façade Shading Systems through View-Based Analysis of Daylight Glare Probability, View Content, and Spa... by Martin Ivanov, Jun Sato

“…The methodology employs first-person interior views analyzed through advanced computational techniques—daylight glare probability, image segmentation and power spectrum analysis—to objectively assess visual comfort, view content and spatial frequency composition. The proposed framework employs an adaptive optimization algorithm that iteratively generates and refines shading device configurations, effectively balancing glare reduction, external visibility, and visual complexity. …”
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Research on Adaptive Drilling Control Technology Based on Coal Rock Traits During the Drilling Process by Bin Liang, Guang Li, Guangpeng Shan

“…Based on the characteristics of the drilling electrohydraulic control system, a rotary adaptive controller based on a self-resistant control algorithm and a feed adaptive controller based on sliding mode variable structure control were designed. …”
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Determination of metallization degree of pre-reduced chromite with image and rietveld analysis by Leino T., Taskinen P., Eric R.H.

“…Rietveld refinement and phase composition analysis was performed with PANalytical’s X’Pert HighScore Plus software from the XRPD (X-ray powder diffraction) data. …”
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Study on Lacticaseibacillus casei TCS fermentation kinetic models and high-density culture strategy by Chen Chen, Tianyu Guo, Di Wu, Jingyan Shu, Ningwei Huang, Huaixiang Tian, Haiyan Yu, Chang Ge

“…This study employed an artificial neural network (ANN) and genetic algorithms (GA) to determine the ideal composition of the proliferation medium for Lactobacillus casei TCS. …”
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A Step-by-Step Harmonization Process for Nutritional Epidemiology Purposes: A Methodological Work of the Collaborative PROMED-COG Pooled Cohorts Study by Federica Prinelli, Silvia Conti, Claire T. McEvoy, Caterina Trevisan, Stefania Maggi, Giuseppe Sergi, Marianna Noale

“…Retrospective nutritional data harmonization was performed considering three main nutritional exposures such as body composition (weight and circumference), undernutrition (by combining phenotypic and etiologic criteria), and dietary habits (through food frequency questionnaires). …”
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Molecular endotypes in sepsis: integration of multicohort transcriptomics based on RNA sequencing by Kengo Mekata, Michihito Kyo, Modong Tan, Nobuaki Shime, Nobuyuki Hirohashi

“…The coagulopathic endotype exhibited upregulated coagulation signaling, along with an increased monocyte and neutrophil composition, although the adaptive endotype demonstrated enhanced adaptive immune cell responses, marked by elevated T and B cell compositions. …”
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Optimization of process parameters in Nano-particle mixed EDM of hardened die steel AISI H13 using RSM and GA by Tasfia Saba, AKM Nurul Amin, Sanjida Islam, Maisha Rahman Chaity, Noshin Tasnim Tuli, Adib Bin Rashid

“…Optimization was conducted utilizing Response Surface Methodology (RSM) and Genetic Algorithm (GA). The execution of a test run facilitated a comparison between the actual outcomes and the optimized results. …”
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Machine-learning synergy in high-entropy alloys: A review by Sally Elkatatny, Walaa Abd-Elaziem, Tamer A. Sebaey, Moustafa A. Darwish, Atef Hamada

“…Subsequently, this review discusses various ML models, including supervised and unsupervised algorithms, focusing on guiding readers through algorithm selection and model evaluation. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…The characteristics of microbial composition at various body sites of individuals from different regions remain largely unexplored. …”
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A study of adaptive population sizing in a self-adaptive differential evolution by Haldi Budiman, Shir Li Wang, Theam Foo Ng, Amr S. Ghoneim, Haidi Ibrahim, Bahbibi Rahmatullah

“…The effect of these two parameters on population sizing adaptation is evaluated using 26 benchmark single-objective unconstrained optimization functions consisting of unimodal, multimodal, hybrid, and composition functions. SAEDE-EP is compared against 18 state-of-the-art evolutionary algorithms on 10 functions from the 100-Digit Challenge on CEC 2019 single-objective real parameter optimization. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

“…First, a hybrid feature selection method, termed ANOVA-Sine Cosine Algorithm (AVSCA), was developed by integrating analysis of variance (ANOVA) with the Sine Cosine Algorithm (SCA) to extract spectral fingerprint information of wheat flour. …”
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Reassessment of Plio-Quaternary aquifer mineralization (Sidi Mansour plain, Southern Tunisia): a machine learning approach by Zohra Kraiem, Kamal Zouari, Aissa Hleimi, Houda Derbel Fetoui

“…The backpropagation neural network model results (10:4:1) indicated high accuracy of the trained algorithm, as confirmed by a cross-validation test (high accuracy [88.89%], specificity [100%], and R2 [0.9687]). …”
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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…Finally, we discuss new perspectives and solutions for research into microbial resistance through algorithm optimization, dataset expansion, and interdisciplinary collaboration. …”
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TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data by Qingrong Shen, Xiaoqian Fan, Yangyang Sun, Hao Gao, Xiaoquan Su

“…Abstract Background 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis due to its cost-effectiveness and lower data requirements compared to metagenomic whole-genome sequencing (WGS). …”
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