Res-LK-SLR: A Residual Network Based on Large Kernels and Shapelet-Level Representations for Spatial Infrared Spot Target Discrimination by Huiying Liu, Jiarong Wang, Weijun Zhong, Haitao Nie, Xiaotong Deng, Jiaqi Sun, Ming Zhu, Ming Wei

“…Current research is primarily based on idealized simulation datasets, resulting in a performance gap when applied to actual applications. To address these issues, firstly, we construct a simulation dataset tailored to the challenges of actual scenarios. …”
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Reflection on High-Quality Development of Smart Health Data by Weixuan Wang, Shaomei Shang, Zhiwen Wang, Luxia Zhang, Lin Ma, Na Li, Junhui Wu, Xu Zhang, Lan Li, Qimin Zhan

“…China's aging population is large in size and is growing rapidly, causing a huge gap in the geriatric care resources. The smart geriatric care service based on health data has become an effective means to solve the geriatric care problem in China. …”
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AI-driven drug discovery and repurposing using multi-omics for myocardial infarction and heart failure by Ziad Sabry, Harkirat Singh Arora, Sriram Chandrasekaran, Zhong Wang

“…Yet, drug discovery for these conditions faces significant challenges due to the complexity and heterogeneity of their underlying pathology. …”
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Engaging Students in Audiovisual Coding Through Interactive MATLAB GUIs by Carlos Cuevas, Carlos Cortes, Narciso Garcia

“…Traditional educational methods in higher education, such as lectures and hands-on exercises, often struggle to fully engage students or address the complexities inherent in audiovisual signal coding. This gap underscores the need for innovative educational tools that not only foster deeper understanding but also enhance student engagement within the university setting. …”
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HOF•CH₃CN—The Most Potent Oxygen Transfer Agent for a Large Variety of Organic Molecules by Shlomo Rozen

“…The complex of hypofluorous acid with acetonitrile—HOF•CH₃CN—is the only substance possessing a truly electrophilic oxygen. …”
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Unveiling size-selective host-guest interaction of photoresponsive nanorings with carbon nanotubes and fullerenes by Saswathy R., Mohamad Akbar Ali

“…The photoresponsivity of [6]CPPDs, particularly in complexes involving the (5,5) nanotube, was found to be superior to that of [6]CPPAs, with a notably narrow band gap of 2.99 eV. …”
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Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration by Hao Li, Qi Long, Xu Yang, Xiang Ju, Haitao Li, Zhongming Liu, Dehua Xiong, Xiongying Duan, Minfu Liao

“…Considering the influence of contact gap on electric field distortion, an adaptive switching strategy is designed to quantify the dynamic relationship among operation times, insulation strength degradation, and electric field distortion. …”
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Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…These algorithms aim to address the challenges of feature selection, computational complexity, and disease classification accuracy. H-GMRA outperforms traditional methods by identifying minimal feature sets with high dependency ratios. …”
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Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model by Md. Mithun Hossain, Sanjara, Md. Shakil Hossain, Sudipto Chaki, Md. Saifur Rahman, A. B. M. Shawkat Ali

“…Traditional methods are limited by the complexity of mental health-related texts, which contain specialized terminology and domain-specific nuances. …”
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Machine Learning-Powered Smart Healthcare Systems in the Era of Big Data: Applications, Diagnostic Insights, Challenges, and Ethical Implications by Sita Rani, Raman Kumar, B. S. Panda, Rajender Kumar, Nafaa Farhan Muften, Mayada Ahmed Abass, Jasmina Lozanović

“…It explores the principal challenges of data heterogeneity, privacy, computational complexity, and advanced methods such as federated learning (FL) and edge computing. …”
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Economic growth without carbon emission: Comparative perspectives on solar, wind, hydroelectric, nuclear, and geothermal energy by Rongrong Li, Qiang Wang, Sailan Hu

“…However, the relationship with CO2 emissions varies: solar, wind, and geothermal significantly reduce emissions, while hydroelectric and nuclear energy are associated with higher emissions due to infrastructure complexities. Threshold regression analysis further identifies nonlinear effects moderated by geopolitical risk. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

“…This paper aims to address that gap by providing a comprehensive review of ML and DL methodologies for detecting depression on social media. …”
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FishPoll – a serious game about sharing moving fish stocks under climate change by Charlotte Teresa Weber, Charlotte Teresa Weber, Michaela Aschan, Timo Szczepanska, Petter Olsen, Petter Olsen

“…To address this, we introduce FishPoll, an innovative serious game designed to simulate the complexities of quota negotiations under changing ecological conditions in a fictional scenario. …”
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Socio-economic factors boosting the effectiveness of marine protected areas: A Bayesian network analysis by Antonio Di Cintio, Jose Antonio Fernandes-Salvador, Riikka Puntila-Dodd, Igor Granado, Federico Niccolini, Fabio Bulleri

“…Our work sheds light on the complexity of the interactions among the different factors underpinning the effectiveness of MPAs and supports the growth process of MPAs at the global level on the pathway towards the sustainable exploitation of marine living resources.…”
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Enhanced Position-Aided Beam Prediction Using Real-World Data and Enhanced-Convolutional Neural Networks by Ahmed Abd El Moaty Mohamed Gouda, Ehab K. I. Hamad, Aziza I. Hussein, M. Mourad Mabrook, A. A. Donkol

“…This research fills the existing gap between the simulated aid beam alignment and real-world position beam aided alignment, which can be useful in improving beamforming in the upcoming wireless networks.…”
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PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

“…RSA employs orthogonal large-kernel convolutions to capture anisotropic spatial features for arbitrarily oriented targets, while RCA dynamically adjusts the kernel scales based on content complexity, effectively addressing scale variations and intraclass diversity. …”
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Hybrid Machine Learning and Reinforcement Learning Framework for Adaptive UAV Obstacle Avoidance by Wojciech Skarka, Rukhseena Ashfaq

“…Interdisciplinary approaches combining robotics, AI, and aeronautics are suggested to improve UAV performance in complex environments.…”
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Design and refinement of a clinical trial staffing model within the evolving landscape of oncology clinical trials by Ellen Siglinsky, Hannah Phan, Silviya Meletath, Amber Neal, David E. Gerber, Asal Rahimi, Erin L. Williams

“…Results: Further investigation identified increasing complexity of trial screening, which had not been accounted for in the initial model. …”
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Detection and phylogenetic analysis of contemporary H14N2 Avian influenza A virus in domestic ducks in Southeast Asia (Cambodia) by Jurre Y. Siegers, Michelle Wille, Sokhoun Yann, Songha Tok, Sarath Sin, Sokha Chea, Alice Porco, Sreyem Sours, Vutha Chim, Samban Chea, Kimtuo Chhel, Sothyra Tum, San Sorn, Makara Hak, Peter Thielen, Vijaykrishna Dhanasekaran, Erik A. Karlsson

“…Avian influenza virus (AIV) in Asia is a complex system with numerous subtypes and a highly porous wild birds-poultry interface. …”
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FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI by Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi

“…Existing registration methods, primarily developed for superior-quality adult data, are not well-suited for addressing these complexities. To bridge this gap, we introduce FetDTIAlign, a deep learning approach tailored to fetal brain dMRI, enabling accurate affine and deformable registration. …”
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