ReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data. by Brett A McKinney, Bill C White, Diane E Grill, Peter W Li, Richard B Kennedy, Gregory A Poland, Ann L Oberg

“…For gene-gene interactions, gwak-Relief-F outperforms all comparison methods at ranking relevant genes in all but the highest fold change/highest signal situations where it performs similarly. The gwak-Relief-F algorithm outperforms Random Forests for detecting relevant genes in all simulation experiments. …”
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Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Colleen Farrelly, MS, Matthew J. Budoff, MD, Bradley Erickson, MD, PhD, Jeremy D. Collins, MD, Michael J. Blaha, MD, Tim Leiner, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, Jennifer Rozenblit, PhD, Deepa Sarkar, PhD, Gunnar Carlsson, PhD

“…Topological data analysis can evaluate coronary atherosclerosis in novel ways using variations in the cover and filtration functions of the algorithm, highlighting new ways to characterize calcified and noncalcified plaques. …”
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A Robust joint coverless image steganography scheme based on two independent modules by Chang Ren, Bin Wu

“…Moreover, our scheme exhibits strong security against detection by multiple steganalysis tools and excellent practicality in practical communication. …”
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Bayesian Time-Domain Ringing Suppression Approach in Impulse Ultrawideband Synthetic Aperture Radar by Xinhao Xu, Wenjie Li, Haibo Tang, Longyong Chen, Chengwei Zhang, Tao Jiang, Jie Liu, Xingdong Liang

“…Building on this analysis, we propose a Bayesian ringing suppression algorithm based on sparse optimization. The method effectively enhances imaging quality while balancing the trade-off between ringing suppression and image fidelity. …”
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Barriers and facilitators to cervical cancer screening in the Eastern Mediterranean Region: a systematic review by Ramin Rezapour, Mohammad Saadati, Hassan Sarsour, Lamia Mahmoud, Moradali Zareipour, Soma Khezri

“…Although screening is recommended as the early detection policy to enable timely intervention, women across the region face diverse factors that either facilitate or hinder their participation in screening programmes. …”
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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…The second phase employed the same algorithms alongside sequential ensemble methods—XG Boost, AdaBoostM1, and Gradient Boosting—using an average voting algorithm for binary classification. …”
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Research on water body information extraction and monitoring in high water table mining areas based on Google Earth Engine by Anya Zhong, Zhen Wang, Yulong Gen

“…This study addressed technical bottlenecks in applying traditional water indices in mining areas, such as spectral interference from coal slag, under-detection of small water bodies, and misclassification of agricultural fields. …”
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Disrupted fetal carbohydrate metabolism in children with autism spectrum disorder by Serena B. Gumusoglu, Brandon M. Schickling, Donna A. Santillan, Lynn M. Teesch, Mark K. Santillan

“…Abstract Background Despite the power and promise of early detection and treatment in autism spectrum disorder (ASD), early-life biomarkers are limited. …”
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Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

“…Although several semi‐automated and fully automated spike‐sorting algorithms have been developed, their classification accuracy often proves insufficient. …”
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Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response by Jingjing Shao, Tianye Zhao, Jibin Liu, Peipei Kang, Peipei Kang

“…Various machine learning algorithms indicated that MRPL17 is particularly associated with patient prognosis and responses to immunotherapy. …”
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Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System by Yaohui Wang, Sheng Guo, Jinliang Zhang, Hongbo Ding, Bo Zhang, Ao Cao, Xiaohu Sun, Guangxin Zhang, Shihe Tian, Yongxu Chen, Jixuan Ma, Guangrong Chen

“…A deep vision-based recognition system, enhanced by an improved YOLOv5 algorithm and multi-feature fusion, was employed for real-time object detection and pose estimation. …”
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AI‐Powered Advancements in Food Analysis and Safety: Ensuring Quality, Protection, and Precision in Modern Food Systems: A Review by Ammar B. Altemimi, Farhang Hameed Awlqadr, Raqad R. Al‐Hatim, Syamand Ahmed Qadir, Mohammed N. Saeed, Aryan Mahmood Faraj, Tablo H. Salih, Hala S. Mahmood, Mohammad Ali Hesarinejad, Francesco Cacciola

“…The role of AI in contaminant detection and spoilage prediction is underlined. One of the applications is using near‐infrared spectroscopy on a machine learning algorithm sample to determine if it contains any adulterants in olive oil. …”
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Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation by Luda Zhao, Yihua Hu, Fei Han, Zhenglei Dou, Shanshan Li, Yan Zhang, Qilong Wu

“…Comparative experiments between the proposed point cloud DA algorithm and the current state‐of‐the‐art algorithms in point cloud detection and single object tracking tasks demonstrate that the proposed method can improve the network performance obtained from unaugmented datasets by over 17.3% and 17.9%, surpassing SOTA performance of current point cloud DA algorithms.…”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

“…A dynamic time sharding storage strategy is proposed for 2 Hz high-frequency data streams, combined with an improved run length encoding compression algorithm (RLE-X), to achieve a stable write throughput of ≥ 1 000 data streams per second and a storage space compression rate of over 85%. …”
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A Preprocessing Pipeline for Pupillometry Signal from Multimodal iMotion Data by Jingxiang Ong, Wenjing He, Princess Maglanque, Xianta Jiang, Lawrence M. Gillman, Ashley Vergis, Krista Hardy

“…The pipeline involves artifact removal, outlier detection using advanced methods such as the Median Absolute Deviation (MAD) and Moving Average (MA) algorithm filtering, interpolation of missing data using the Piecewise Cubic Hermite Interpolating Polynomial (PCHIP), and mean pupil diameter calculation through linear regression, as well as normalization of mean pupil diameter and integration of the pupil diameter dataset with facial expression data. …”
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A Deep Learning Biomimetic Milky Way Compass by Yiting Tao, Michael Lucas, Asanka Perera, Samuel Teague, Timothy McIntyre, Titilayo Ogunwa, Eric Warrant, Javaan Chahl

“…An algorithm is proposed that combines the YOLOv8m-seg model and normalised second central moments to calculate the MW orientation angle. …”
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A Study of NEWS Vital Signs in the Emergency Department for Predicting Short- and Medium-Term Mortality Using Decision Tree Analysis by Serena Sibilio, Gianni Turcato, Bastiaan Van Grootven, Marta Ziller, Francesco Brigo, Arian Zaboli

“…Early detection of clinical deterioration in emergency department (ED) patients is critical for timely interventions. …”
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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

“…To refine predictor selection, we applied a random forest algorithm. The top 10 variables, including admission to the surgical department, EGFR, hemoglobin, and others, were incorporated into a logistic regression-based prediction model. …”
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Neural network classification of Barnes maze search strategy utilization by Scott Ferguson, Coral Hahn-Townsend, Benoit Mouzon, Salina Yathiraj, Giovanni Brunetti, Nicole Saltiel, Cillian E. Lynch, Michael Mullan, Fiona Crawford

“…We have developed a machine learning algorithm to automatically quantify search strategy utilization in an unbiased manner. …”
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Identification and validation of genes related to stem cells and telomere maintenance mechanisms as biomarkers for breast cancer by Shuang Zhen, Lifeng Huang, Qiannan Zhu, Rui Chen, Jue Wang, Xiaoming Zha

“…Differential expression profiling, protein-protein interaction (PPI) network construction, and Molecular Complex Detection (MCODE) were conducted. Biomarker candidates were identified using the least absolute shrinkage and selection operator (LASSO) algorithm, followed by pathway enrichment and immunological analyses. …”
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