Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit by Mengke Ma, Jiatong Liu, Caiyun Li, Yingxue Chen, Huishu Jia, Aijie Hou, Hongzeng Xu

“…A web-based application was developed, which could serve as an effective tool for clinicians in their risk assessment and clinical decision-making processes. Graphical abstract…”
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Physical training and sports among applicants for higher medical education as a fundamental component of their future military service: the predisposition of medical students to a... by О. М. Vlasenko, N. D. Kozak, I. V. Shcherbyna, D. O. Kozak, O. V. Dema

“…This indicator is a confirmation of the correct vector of development and popularization of physical training among students. …”
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A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data by Abhay Bindle, Preeti Singla, Sachin Sharma, Abdukodir Khakimov, Reem Ibrahim Alkanhel, Ammar Muthanna

“…This research enhances information retrieval by combining machine learning-based ranking with traditional methods, improving knowledge discovery and decision-making in telecommunications and technical document processing.…”
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Detection of Tomato Leaf Pesticide Residues Based on Fluorescence Spectrum and Hyper-Spectrum by Jiayu Gao, Xuhui Yang, Simo Liu, Yufeng Liu, Xiaofeng Ning

“…In this study, fluorescence spectrum acquisition and hyperspectral imaging processing of tomato leaf samples with and without pesticides were conducted, and spectral data from regions of interest of hyperspectral images were extracted. …”
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An Edge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With Integration of Mod... by Abdulmohsen Algarni, Zulfiqar Ahmad, Mohammed Alaa Ala'Anzy

“…We implemented the benchmark machine-learning models, i.e., Gradient Boosting Machine and Support Vector Machine, for performance comparison with the proposed modified machine-learning models. …”
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Inherent Trade-Offs Between the Conflicting Aspects of Designing the Compact Global Navigation Satellite System (GNSS) Anti-Interference Array by Xiangjun Li, Xiaoyu Zhao, Xiaozhou Ye, Zukun Lu, Feixue Wang, Peiguo Liu

“…First, we propose a novel null width analysis method based on the steering vector correlation coefficient (SVCC), elucidating the inverse regulatory mechanism between increasing the number of antennas and reducing antenna spacing on null width. …”
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Analysis of Microbiome for AP and CRC Discrimination by Alessio Rotelli, Ali Salman, Leandro Di Gloria, Giulia Nannini, Elena Niccolai, Alessio Luschi, Amedeo Amedei, Ernesto Iadanza

“…Digging deeper into the simplified data may help us better grasp the biological or ecological processes reflected in the OTU data. Transitioning from this exploration, the synergy of ML and synthetic data enrichment holds promise for advancing microbiome research. …”
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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…Logistic Regression, Random Forest and Support Vector Machine were the outperforming classifiers and proved their potential for classifying faults in electric power transmission lines.…”
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An Optimized Method for Single Cell Cloning of Human CAR-T Cells Based on FBS-Coated Plates by Mahdie Jafari, Shahriyar Abdoli, Masoud Moghaddam Pour, Mohammad Ali Shokrgozar, Zahra Sharifzadeh

“…Despite significant improvements in CAR-T cell production processes, the isolation and expansion of CAR-engineered T cells continue to pose significant challenges. …”
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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

“…The performance of transfer learning is evaluated in different ways: by using pre-trained AlexNet CNN model with Support Vector Machine (SVM) classifier, and fine-tuned AlexNet for extracting features and classification. …”
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Genetic algorithm optimization of ensemble learning approach for improved land cover and land use mapping: Application to Talassemtane National Park by Ali Azedou, Aouatif Amine, Isaya Kisekka, Said Lahssini

“…Using Sentinel-2 satellite imagery processed in Google Earth Engine (GEE), six spectral features and six vegetation indices were extracted. …”
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Improving the accuracy of remotely sensed TSS and turbidity using quality enhanced water reflectance by a statistical resampling technique by Kunwar Abhishek Singh, Dongryeol Ryu, Meenakshi Arora, Manoj Kumar Tiwari, Bhabagrahi Sahoo

“…The resampled spectral data and in-situ TSS and turbidity measurements were used to train four ML models: Partial Least Squares Regression (PLSR), Random Forest Regression (RFR), Extreme Gradient Boosting (XGBoost), and Support Vector Regression (SVR). Our approach improved the estimation accuracy of the TSS by 33% and turbidity by 28% compared to the input processed using the built-in Sentinel-2 cloud and cloud shadow masks. …”
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Designing a Four-Group Permutational Hybrid Feature Selection Scheme for Transient Stability Prediction Based on Multivariate Trajectory Data by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…The results show that FGPHFSS has a prediction accuracy of 99 % and a processing time of 101.819 milliseconds for TSP.…”
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Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity by Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammad-Reza Ansari-Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati

“…Conclusion While AI can enhance decision-making processes by providing real-time risk assessments, these tools must be used to augment—not replace—clinical judgment. …”
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Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique by Hasnain Iftikhar, Moiz Qureshi, Paulo Canas Rodrigues, Muhammad Usman Iftikhar, Javier Linkolk Lopez-Gonzales, Hasnain Iftikhar

“…First, it involved processing the original crude oil prices time series to address missing values, variance stabilization, and normalization. …”
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Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation by Tianbo Li, Lei Gao, Jiangning Wang

“…This was followed by GO/KEGG analyses and a PPI network construction. Support vector machine–recursive feature elimination (SVM-RFE) and the Boruta random forest algorithm distilled five biomarkers (DIS3L, EXOSC7, SDC1, STX11, SYT17). …”
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In-Depth Analysis of Ka-Band Integrated Commercial Beamformer Non-Idealities in Phased Array Calibration and Pattern Prediction Methods for 5G Scenarios by Jorge Calatayud Maeso, Xiaoliang Sun, Alfonso Tomas Muriel-Barrado, Fernando Rodriguez Varela, Pablo Sanchez-Olivares, Jose-Manuel Fernandez-Gonzalez, Manuel Sierra Castaner

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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

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Periodisation of Primary and Secondary Technical and Vocational Education Development in the Republic of Bashkortostan by T. M. Aminov, R. M. Asadullin

“…In the first model, the pedagogical process is presented as a complete system determined by specific historical conditions. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

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