Obstacle Avoidance in Healthy Adults and People With Multiple Sclerosis: Preliminary fNIRS Study by Fares Al-Shargie, Michael Glassen, John DeLuca, Soha Saleh

“…These results highlight the potential of integrating fNIRS-based cortical activation and connectivity measures with machine learning as biomarkers for MS-related impairments in cognitive-motor interaction. …”
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A novel mitochondrial autophagy and aging-related gene signature for predicting ovarian cancer by Hongyu Zhang, Qiaoying Jin, Huijuan Cao, Yunyun Wang, Yiling Zhao, Hongwen Zhu, Tiansheng Qin

“…In this study, we used multiple machine learning methods to identify 52 MiAg genes that were differentially expressed between OC and normal ovarian tissues. …”
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Graph Neural Network Determine the Ground State Structures of Boron or Nitride Substitute C₆₀ Fullerenes by Linwei Sai, Beiran Du, Li Fu, Sultana Akter, Chunmei Tang, Jijun Zhao

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Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…However, recent studies have shown that the activation functions of neurons in a network exhibit asymmetry for different categories, which results in the learning of task-irrelevant features while attempting to learn task-related features (called “feature contamination”). …”
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A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease by Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola

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Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS by Ling Gao, Tingting Liu, Xiaoyan Li

“…A comprehensive evaluation was performed by integrating functional enrichment analysis, immune cell infiltration analysis, and weighted gene co-expression network analysis (WGCNA). …”
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Immune Evasion Mechanism Mediated by ITPRIPL1 and Its Prognostic Implications in Glioma by Zou Xiaoyun, Ye Wenhao, Wu Huan, Yang Yuanyuan, Liu Changqing, Wen Hebao, Ma Caiyun

“…This included evaluating ITPRIPL1 expression levels in glioma, its association with clinicopathological features, prognostic significance, immune landscape, targeted drug sensitivity, and underlying biological functions. Ninety‐eight machine learning algorithm combinations were screened to identify the optimal predictive model. …”
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Protecting Industrial Control Systems From Shodan Exploitation Through Advanced Traffic Analysis by Sayed Reza Ghazinour Naeini, Alireza Shameli-Sendi, Masoume Jabbarifar

“…Unfortunately, this functionality has been exploited by hackers to pinpoint potential attack targets and their associated weaknesses. …”
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Bioinformatics analysis of shared biomarkers and immune pathways of preeclampsia and periodontitis by Fangyi Ruan, Yinan Wang, Xiang Ying, Yadan Liu, Jinghui Xu, Huanqiang Zhao, Yawei Zhu, Ping Wen, Xiaotian Li, Qiongjie Zhou, Hefeng Huang

“…Protein–protein interaction networks and machine learning methods were leveraged to identify shared hub genes. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…Methods DC-related biological functions and genes were identified using single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing. …”
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Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data by Erli Wu, Xuan Yin, Feng Liang, Xianqing Zhou, Jiamin Hu, Wanting Yuan, Feihan Gu, Jingxin Zhao, Ziyang Gao, Ming Cheng, Shouxiang Yang, Lei Zhang, Qingqing Wang, Qingqing Wang, Xiaoyu Sun, Xiaoyu Sun, Wei Shao, Wei Shao

“…By combining the bulk transcriptome and applying machine learning methods, we identified several potential ICD-related hub genes, which were then used to build diagnostic models. …”
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Predictive potential of cardiovascular risk factors and their associations with arterial stiffness in people of European and Korean ethnic groups by T. A. Brodskaya, V. A. Nevzorova, K. I. Shakhgeldyan, B. I. Geltser, D. A. Vrazhnov, Yu. V. Kistenev

“…Its predictive potential was realized only in combination with functional and metabolic status parameters of patients. …”
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Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under Treatment by Asma Poursoroush, Vida Abedi, Xiaoqin Huang, Jiang Li, Alireza Vafaei Sadr, Amy L. de Jongh Curry, Louis R. Pasquale, Michael V. Boland, Chris A. Johnson, Siamak Yousefi

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Investigating Digital Storytelling as a Tool of Improving/ Developing Information Literacy Skills by Maryam Khodabin, Mohammad Zerehsaz, Somaye Sadat Akhshik, Ghasem Azadi Ahmadabadi

“…Objective: Digital storytelling is an innovative tool and works as a promising activity to facilitate and develop learning in the postmodern society. Digital storytelling emphasizes the group process and people's experience in sharing stories, visual and verbal functions that are necessary for understanding language and thinking from the perspective of cognitive neuroscience. …”
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Optimal management of the acquiring and evaluating the competencies process of university students by G. A. Dorrer, A. G. Dorrer, G. M. Rudakova

“…At the same time, universities in accordance with the law “On Education in the Russian Federation” must also take into account the requirements of professional standards for the development of the students’ labor functions, required for work in the chosen profession. …”
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Rethinking timing residuals: advancing PET detectors with explicit TOF corrections by Stephan Naunheim, Stephan Naunheim, Luis Lopes de Paiva, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Yannick Kuhl, Stefan Gundacker, Stefan Gundacker, Florian Mueller, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz, Volkmar Schulz

“…PET is a functional imaging method that can visualize metabolic processes and relies on the coincidence detection of emitted annihilation quanta. …”
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Comprehensive analysis of lactylation-related gene and immune microenvironment in atrial fibrillation by Yazhe Ma, Youcheng Wang, Yuanjia Ke, Yuanjia Ke, Yuanjia Ke, Qingyan Zhao, Qingyan Zhao, Qingyan Zhao, Jie Fan, Yang Chen

“…Co-expression and WGCNA analyses identified lactylation- and immune-associated gene modules in AF. Functional enrichment analysis highlighted immune-related pathways such as T cell activation and neutrophil degranulation. …”
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Parents’ Educational Background and Child’s Learned Skills Are More Predictive for a Positive School Career than Earlier Parenting Behavior or Child’s Mental Health—Results from an... by Beate Muschalla, Ann-Katrin Job, Wolfgang Schulz

“…<b>Background/Objectives</b>: Developmental research has shown that mental health and functioning is determined by social background and child and family characteristics. …”
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Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le... by Jiajun Li, Nuo Xu, Leyin Hu, Jiayue Xu, Yifan Huang, Deqi Wang, Feng Chen, Yi Wang, Jiani Jiang, Yanggang Hong, Huajun Ye

“…Nevertheless, its comprehensive roles in pan-cancer progression, underlying biological functions, and potential as a predictor of immunotherapy response remains poorly understood. …”
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