Visible-infrared person re-identification with region-based augmentation and cross modality attention by Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu

“…Existing models mainly focus on compensating for modality-specific information to reduce modality variation. However, these methods often introduce interfering information and lead to higher computational overhead when generating the corresponding images or features. …”
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Tracking the North American Asian Longhorned Beetle Invasion With Genomics by Mingming Cui, Amanda D. Roe, Brian Boyle, Melody Keena, Yunke Wu, W. Evan Braswell, Michael T. Smith, Ben Gasman, Juan Shi, Marion Javal, Geraldine Roux, Jean J. Turgeon, Richard Hamelin, Ilga Porth

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Enhancing wheat genomic prediction by a hybrid kernel approach by Jaime Cuevas, Jose Crossa, Jose Crossa, Abelardo Montesinos-López, Johannes W. R. Martini, Guillermo Sebastiáń Gerard, Jaime Ortegón, Susanne Dreisigacker, Velu Govindan, Paulino Pérez-Rodríguez, Carolina Saint Pierre, Leonardo Abdiel Crespo Herrera, Osval A. Montesinos-López, Paolo Vitale

“…This study integrates genomic and pedigree data by leveraging advanced modeling techniques, aiming to enhance the predictive performance of genomic selection models by capturing complex genetic relationships through the interaction of both matrices and exploring the utility of non-linear methods, such as kernel matrices. …”
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Differences in Coronary Heart Disease and Stroke Incidence Among Single‐Race and Multiracial Asian and Pacific Islander Subgroups in Hawaii and California: A Retrospective Cohort S... by Yihe G. Daida, Ana Gabriela Rosales, Timothy B. Frankland, Adrian Matias Bacong, Beth Waitzfelder, Jiang Li, Joseph Keawe'aimoku Kaholokula, Latha Palaniappan, Stephen P. Fortmann

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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Abstract Background Variation in perioperative care persists globally. …”
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Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach by Waqar Khan, Muhammad Usama, Muhammad Shahbaz Khan, Oumaima Saidani, Hussam Al Hamadi, Noha Alnazzawi, Mohammed S. Alshehri, Jawad Ahmad

“…The model integrates a Transformer-based encoder, Convolutional Neural Networks (CNNs), and Variational Autoencoder-Long Short-Term Memory (VAE-LSTM) networks to enhance anomaly detection capabilities. …”
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Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties by Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

“…Three signal reconstruction methods, that is, Bayesian wavelet multiscale decomposition, probabilistic principal component analysis, and auto-associative kernel regression, were seamlessly integrated to address the noise, high dimensionality, and correlation in the sensed multivariate vibration data for accurate fault prediction. …”
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Fluorescence and Hyperspectral Sensors for Nondestructive Analysis and Prediction of Biophysical Compounds in the Green and Purple Leaves of <i>Tradescantia</i> Plants by Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, Werner Camargos Antunes, José Alexandre M. Demattê, Marcos Rafael Nanni

“…These methods offer a good strategy for promoting sustainability in future agricultural practices across a broad range of plant species, supporting cell biology and material analyses.…”
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Plasma Metabolic Outliers Identified in Estonian Human Knockouts by Ketian Yu, Estonian Biobank Research Team, Karol Estrada, Tõnu Esko, Mart Kals, Tiit Nikopensius, Jaanika Kronberg, Urmo Võsa, Arthur Wuster, Lorenzo Bomba

“…<b>Background/Objectives:</b> Metabolomics, in combination with genetic data, is a powerful approach to study the biochemical consequences of genetic variation. We assessed the impact of human gene knockouts (KOs) on the metabolite levels of Estonia Biobank (EstBB) participants and integrated the results with electronic health record data. …”
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A Quantitative Monitoring Study of Environmental Factors Activating Caihua and Wooden Heritage Cracks in the Palace Museum, Beijing, China by Xiang He, Hong Li, Yilun Liu, Binhao Wu, Mengmeng Cai, Xiangna Han, Hong Guo

“…However, due to limited data acquisition methods and quantitative analysis models, the stability and risks of defects such as cracks during environmental changes remain unclear. …”
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Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach by Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, Hangyue Liu, David Casillas-Pérez, Andreas Helwig, Salvin S. Prasad, Jorge Pérez-Aracil, Prabal Datta Barua, Sancho Salcedo-Sanz

“…This study introduces a novel D3Net model for half-hourly EP prediction, integrating Seasonal-Trend decomposition using LOESS (STL) and Variational Mode Decomposition (VMD) with Multi-Layer Perceptron (MLP), Random Forest Regression (RFR), and Tabular Neural Network (TabNet). …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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Exploring the relationship between climate change, air pollutants and human health: Impacts, adaptation, and mitigation strategies by Gibson Owhoro Ofremu, Babatunde Yusuf Raimi, Samuel Omokhafe Yusuf, Beatrice Akorfa Dziwornu, Somtochukwu Godfrey Nnabuife, Adaeze Mary Eze, Chisom Assumpta Nnajiofor

“…This paper conveys a comprehensive review of scientific literature to explore the relationship between climate change, air pollutants, and human health. The integral relationship between climate change and health is complex and has a significant impact on every facet of human life. …”
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PIFRNet: Position Information Guided Feature Reconstruction Network for Salient Object Detection in Remote Sensing Images by Zhen Wang, Ruixiang Li, Xiaotian Wang, Nan Xu, Zhuhong You

“…To address multiscale object variation, the Multiscale Attention Mechanism adaptively aggregates information across scales, improving detection robustness for objects of all sizes. …”
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Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. …”
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Breeding for resistance to maize streak virus: challenges, progress and future directions: a review by Malven Mushayi, Malven Mushayi, Hussein Shimelis, John Derera, John Derera, Seltene Abady Tesfamariam

“…Finally, the review highlights the conventional and modern breeding methods, innovations and prospects for MSV resistance breeding. …”
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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

“…Grade, International Federation of Gynecology and Obstetrics (FIGO) stage, platelet-to-lymphocyte ratio, red blood cell distribution width-coefficient of variation, triglycerides, and human epididymal protein 4 were identified as independent prognostic factors. …”
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Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads by Chenyuan He, He Yang, Zhouyu Zhang, Hai Wang, Yingfeng Cai, Long Chen, Can Zhong, Yiqun Zhang

“…Specifically, the detection stream adopts an enhanced YOLOv10+ network equipped with a frequency-aware fusion module (FreqFusion) in the neck to improve semantic–spatial alignment and robustness to texture variation. The segmentation stream introduces GAL-DeepLabv3+plus, which integrates a Dense Atrous Spatial Pyramid Pooling (DenseASPP) module and a Graph Attention Layer (GAL) into the standard DeepLabv3+ architecture, thereby enhancing contextual reasoning and boundary refinement. …”
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Context makes a difference: a qualitative study exploring how to implement a multifactorial falls prevention intervention in the community by Sara Vandervelde, Bernadette Dierckx de Casterlé, Ellen Vlaeyen, Johan Flamaing, Sien Valy, Goedele Belaen, Koen Milisen

“…The context is critical to understand variation in implementation and clinical outcomes. …”
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Oceanographic and trophodynamic underpinnings of anchovy success in the northern California Current by Kelsey Swieca, Kelsey Swieca, Su Sponaugle, Su Sponaugle, Moritz S. Schmid, Jami Ivory, Robert K. Cowen

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