Serum testosterone partially mediates the adverse effects of organophosphate pesticides exposure on growth indicators of children and adolescents by Zhenao Zhang, Xiaoya Sun, Jingyi Ren, Yadong Zhang, Rui Wen, Huanting Pei, Siqi Zhu, Bowen Yin, Ziyi Wang, Yuxia Ma

“…LCA identified three exposure patterns for OPP metabolites: High DMP-High DEP (N = 145), Low DMP-Low DEP (N = 689), and High DMP-Low DEP (N = 97). …”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…Deep learning models were trained on these selected wavelengths to directly learn patterns from the raw spectral data. The performance of these deep learning models was compared to traditional machine learning approaches. …”
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Efficient Sedimentary Facies Recognition Using Vision Transformer and Weakly Supervised Deep Multi-View Clustering by Hao Wu, Yu-Jie Dai, Xin-Yu Liu

“…First, we use ViT for feature extraction from sedimentary facies images, capturing global information through the self-attention mechanism, thereby enhancing the ability to recognize complex sedimentary facies patterns. Secondly, we introduce deep multi-view clustering, which integrates multi-angle features such as color, texture, and shape, improving the model’s robustness and classification accuracy. …”
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Research and analysis of the TCN-Multihead-Attention prediction model of landslide deformation in the Three Gorges Reservoir area, China by Huan Chen, Huan Chen, Yixuan Li, Yimin Liu

“…Compared with existing models, the TCN-Multihead-Attention model integrates dilated causal convolutions from TCN with multi-head attention to effectively fuse nonlinear interactions of multi-source environmental factors, capture long-term evolutionary trends, and accurately identify local mutation patterns, demonstrating superior reliability for landslide deformation forecasting in reservoir regions.…”
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Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment by Dilawar Shah, Mohammad Asmat Ullah Khan, Mohammad Abrar

“…The main goal is to produce synthetic mammograms that accurately reproduce the intrinsic patterns observed in real data, enhancing the current dataset. …”
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Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation. by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…<h4>Introduction</h4>Sleep disorders significantly disrupt normal sleep patterns and pose serious health risks. Traditional diagnostic methods, such as questionnaires and polysomnography, often require extensive time and are susceptible to errors. …”
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The functional near infrared spectroscopy applications in children with developmental diseases: a review by Jing Wang, Zhuo Zou, Haoyu Huang, Jinting Wu, Xianzhao Wei, Shuyue Yin, Yingjuan Chen, Yun Liu

“…Our synthesis uncovers distinct hemodynamic patterns associated with specific developmental disorders. …”
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Decoding vocal indicators of stress in laying hens: A CNN-MFCC deep learning framework by Suresh Neethirajan

“…This study leverages advanced Convolutional Neural Networks (CNNs) combined with Mel Frequency Cepstral Coefficients (MFCCs) to decode intricate vocalization patterns in laying hens experiencing acute environmental stress. …”
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Distinguishing Dyslexia, Attention Deficit, and Learning Disorders: Insights from AI and Eye Movements by Alae Eddine El Hmimdi, Zoï Kapoula

“…These findings suggest that specific terminology, such as “dyslexia”, may capture unique eye movement patterns, underscoring the importance of eye movement analysis as a diagnostic tool for understanding the complexity of these conditions. …”
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Bibliometric analysis of the use of pathological techniques in camel research by Ahmed Aljazzar

“…Methods: The study identified key research themes, assessed collaboration patterns, and highlighted gaps to guide future research efforts in camel pathology. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. The model was trained and evaluated on the National Basketball Association’s (NBA) SportVU tracking data, which includes over 32,000 possessions. …”
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Probing the functional impact of sequence variation on p53-DNA interactions using a novel microsphere assay for protein-DNA binding with human cell extracts. by Maher A Noureddine, Daniel Menendez, Michelle R Campbell, Omari J Bandele, Monica M Horvath, Xuting Wang, Gary S Pittman, Brian N Chorley, Michael A Resnick, Douglas A Bell

“…Using a set of 26 bona fide REs, we observed distinct binding patterns characteristic of transiently expressed wild type and mutant p53s. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What&#x2019;s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…The performance of multiple machine learning classifiers, including Random Forest (RF), Logistic Regression (LoR), LightGBM (LGBM), and K-Nearest Neighbor Classifier (KNC), is evaluated alongside neural network techniques such as Convolutional Neural Networks (CNN) and VGG-19. …”
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Bioinformatics&amp;#x2011;Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

“…Weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules. …”
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Transcriptome analysis revealed that ischemic post-conditioning suppressed the expression of inflammatory genes in lung ischemia-reperfusion injury by Liangen Lin, Congcong Sun, Yuanwen Ye, Peng Zhu, Keyue Pan, Linglong Chen

“…Among these, seven inflammation-related DEGs exhibited co-expression patterns with the Sham and IR groups, with notable downregulation of Cxcl1 and Cxcl6. …”
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Genetic Spectrum of Lithuanian Familial Hypercholesterolemia Patients by Urte Aliosaitiene, Rimante Cerkauskiene, Aleksandras Laucevicius, Migle Vilniskyte, Viktoras Sutkus, Antanas Mainelis, Birute Burnyte, Jurate Barysiene, Zaneta Petrulioniene

“…The subjects were divided into four groups according to the Dutch Lipid Clinic Network (DLCN) criteria (definite, probable, possible, and unlikely). …”
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Dual-Path Interactive U-Net for Unsupervised Hyperspectral Image Super-Resolution by Wenchen Deng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

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Inspiring Social Capital Through Community Green Space: Pathways and Implications by Lin YE, Shi HE, Yinghao LI, Zhaohui YAN, Lei HUANG

“…These institutional transformations have fundamentally reshaped social relationship patterns, eroding traditional kinship-based connections and resulting in fragmented community networks and a continuous decline in residents’ sense of belonging. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…The proposed approach achieved a high classification accuracy of 90.6% in distinguishing between left- and right-side motion patterns by employing features from both the time and frequency domains using a two-layer neural network. …”
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