Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis by Jie Yang, Ping-Ting Li, Sheng-Ying Xi

“…Results The analysis identified 47 common DEGs between breast cancer and endometriosis. Functional assessment of these genes revealed their involvement in critical biological processes including cell cycle regulation, oxidative stress response, and secretory granule and recycling endosome dynamics. …”
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Leveraging artificial intelligence for diagnosis of children autism through facial expressions by Mahmood A. Mahmood, Leila Jamel, Nazik Alturki, Medhat A. Tawfeek

“…ResNet152 reached the highest accuracy rate of 89% when functioning independently. This paper develops a hybrid deep-learning model by integrating ResNet152 with Vision Transformers (ViT) to achieve better classification performance. …”
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Comparison of CNN-Based Architectures for Detection of Different Object Classes by Nataliya Bilous, Vladyslav Malko, Marcus Frohme, Alina Nechyporenko

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Physical Education Teacher’s Continuing Professional Development Affects the Physiological and Cognitive Well-Being of School-Age Children by Francesca Latino, Generoso Romano, Francesco Tafuri

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You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization by Mohamed Shili, Osama Sohaib, Salah Hammedi

“…The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…MMI couplers, based on self-imaging multimode waveguides, are very compact integrated optical components that can perform many different splitting and recombining functions. The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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Attention-Based Batch Normalization for Binary Neural Networks by Shan Gu, Guoyin Zhang, Chengwei Jia, Yanxia Wu

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The Influence of Music Producing and Creativity on Computational Thinking in Primary School Children by Nardie Fanchamps, Emily Van Gool, Anna Folkertsma, Kim De Meyst

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Enhancing Sea Ice Concentration Resolution in a Northern Sea Route Strait Using a Generative Adversarial Network by M. L. Rocha, A. H. Lynch, K. J. Bergen

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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…Machine learning and SHAP methodology provide nuanced analysis of how urban environments impact residents’ emotions. …”
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End-to-End Optimization for a Compact Optical Neural Network Based on Nanostructured 2 × 2 Optical Processors by Caiyue Zhao, Jiguang Wang, Simei Mao, Xuanyi Liu, Wai Kin Victor Chan, H. Y. Fu

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A novel UHPLC-HRMS method for simultaneous determination of 20 amino metabolites and proteins in lymphoma patients’ cells and serum by Mei Zhang, Qingkun Ma, Han Zhao, Ge Sun, Tenghua Zhao, Yuqing Wang, Shiji Chen, Lele Jia, Yixiang Song, Yanling Mu

“…Ultimately, a machine learning model was established to predict lymphoma with accuracy rate of 93.68%. …”
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Semi-automated data collection from electronic health records in a stroke unit in Brazil by Raquel Franco Zambom Valêncio, Juli Thomaz de Souza, Fernanda Cristina Winckler, Gabriel Pinheiro Modolo, Natalia Cristina Ferreira, Silmeia Garcia Zanati Bazan, Marcos Christiano Lange, Carlos Clayton Macedo de Freitas, Sergio Alberto Rupp de Paiva, Rogério Carvalho de Oliveira, Gustavo José Luvizutto, Rodrigo Bazan

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Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters by Tianning Yao, Liang Sun, Lin Geng, Yao Xu, Ziqi Xu, Kuntao Hu, Xing Chen, Pan Liao, Jin Wang

“…The results indicated significant differences in user needs across various functional spaces, with commercial-oriented areas emphasising environmental attractiveness and comfort, while transport-oriented spaces prioritised access efficiency and safety. …”
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Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification by Jiale Zhang, Baohua Zhang, Dongyang Wu

“…To further enhance modality-shared representation differentiation, we introduce two loss functions: the Meta-Sample Coupling loss (MSCloss) and the Meta-Sample Testing loss (MTloss). …”
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PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy by Yuguang Li, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu, Zhen Tian

“…Proteins perform different biological functions through binding with various molecules which are mediated by a few key residues and accurate prediction of such protein binding residues (PBRs) is crucial for understanding cellular processes and for designing new drugs. …”
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Characterization of key genes and immune cell infiltration associated with endometriosis through integrating bioinformatics and experimental analyses by Ying Peng, Xiangdong She, Ying Peng

“…The protein–protein network (PPI) was constructed. Four machine learning methods, including LASSO, SVM-RFE, random forest, and Boruta, were applied to identify the key genes associated with EM. …”
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Fuzzy rank fusion of deep neural networks for weed identification in groundnut crop by Akshay Dheeraj, Rajnish Kumar Chaturvedi, Sapna Nigam, Md. Ashraful Haque, Sudeep Marwaha

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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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Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach by Jin Zhang, Zhongji Jiang, Jiali Jin, Gaohaer Kadeerhan, Hong Guo, Dongwen Wang

“…Machine learning-based feature selection was applied to identify potential biomarkers and therapeutic targets. …”
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