Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…At the same time, the receptive field is expanded by combining the Receptive Field Block (RFB) module, the ability to capture multi-scale features is enhanced, and the Global Attention Mechanism (GAM)-Attention mechanism is introduced to enhance the recognition ability of local features. …”
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EPICS: error-preserved and interpolation-corrected surrogate-assisted particle swarm optimization for complex optimization by Tongbang Jiang, Jeng-Shyang Pan, Shu-Chuan Chu, Chaoli Sun, Václav Snášel

“…Simulations indicate EPICS presents a promising searching ability for complex optimization, especially for high-dimensions. …”
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GLClick: Interactive Segmentation Combining Global and Local Features by Jiaying Tang, Hongyuan Wang, Zongyuan Ding, Zihao Xin

“…However, the limited receptive field of CNNs restricts their ability to capture long-range semantic relationships. …”
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WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning by Juan José Romero Marras, Luis De la Torre, Dictino Chaos García

“…However, training warehouse operators presents a significant challenge due to the complexity of logistics processes and the need for efficient and engaging learning methods. Training in logistics operations requires practical experience and the ability to adapt to real-world scenarios, which can result in high training costs. …”
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Balance assessment with decreased base of support for children with disabilities by Guilherme M. Cesar, Madison Giebler, Thad W. Buster, Judith M. Burnfield

“…Conclusion Our findings support the practical and efficient use of a single balance task to assess balance ability in children with disabilities.…”
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The Contribution of Simulated Patients to Undergraduate Medical Education: A Pathway to Educational Excellence by Paulo Oom

“…They are also essential in training the ability to communicate efficiently with patients and work as a team. …”
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Detection of Apple Leaf Gray Spot Disease Based on Improved YOLOv8 Network by Siyi Zhou, Wenjie Yin, Yinghao He, Xu Kan, Xin Li

“…In the realm of apple cultivation, the efficient and real-time monitoring of Gray Leaf Spot is the foundation of the effective management of pest control, reducing pesticide dependence and easing the burden on the environment. …”
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Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

“…However, the accuracy of probabilistic attribution models has been limited by the ability to differentiate isolates based upon just 7 MLST genes. …”
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Phytochemical-mediated efferocytosis and autophagy in inflammation control by Asma Vafadar, Amir Tajbakhsh, Fatemeh Hosseinpour-Soleimani, Amir Savardshtaki, Mohammad Hashem Hashempur

“…Moreover, the interplay between autophagy and efferocytosis is crucial for inflammation control, as autophagy enhances the ability of phagocytic cells. Efficient efferocytosis, in turn, regulates autophagic pathways, fostering a balanced cellular environment. …”
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Advancing the design of gold nanomaterials with machine-learned potentials by Kithma Sajini, Caroline Desgranges, Jerome Delhommelle

“…The design of nanomaterials with optimal properties hinges on our ability to understand and control their structure-function relationship, which has remained a challenge so far. …”
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Harnessing hybrid perception on multi-scale features for hand-foot-mouth disease multi-region prediction based on Seq2Seq. by Bingbing Lei, Xuanjun Zhu, Tao Zhou, Yuxi Zhang

“…Additionally, the model performs well on single-region data from a city in southern China, confirming its strong generalization ability.…”
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Automating Attack and Defense Strategies in Cybersecurity by Ionut LATES, Catalin BOJA

“…Organizations can enhance the efficiency and accuracy of their cybersecurity assessment process by using a Cyber Range scenario automation platform. …”
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Computed tomography radiomics of intratumoral and peritumoral microenvironments for identifying the invasiveness of subcentimeter lung adenocarcinomas by Yu-Qiang Zuo, Qing Liu, Tie-Zhi Li, Zhi-Hong Gao, Xu Yang, Yu-Ling Yin, Ping-Yong Feng, Zuo-Jun Geng

“…Conclusions The CT features-based predictive model had limited ability to differentiate the invasiveness in subcentimeter LAC nodules. …”
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Tea seedlings growth promotion by widely distributed and stress-tolerant PGPR from the acidic soils of the Kangra valley by Rishu Thakur, Praveen Rahi, Ashu Gulati, Arvind Gulati

“…Five highly efficient PGPR also showed robust growth under different abiotic stresses under controlled conditions. …”
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Research on X-Ray Weld Defect Detection of Steel Pipes by Integrating ECA and EMA Dual Attention Mechanisms by Guanli Su, Xuanhe Su, Qunkai Wang, Weihong Luo, Wei Lu

“…Secondly, the Efficient Channel Attention (ECA) attention mechanism is embedded before the Spatial Pyramaid Pooling Fast (SPPF) layer to enhance the model’s ability to extract small targets and key features. …”
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Prediction of Temperature Distribution with Deep Learning Approaches for SM1 Flame Configuration by Gökhan Deveci, Özgün Yücel, Ali Bahadır Olcay

“…The training and validation processes for both models were conducted using 80% of the CFD data for training and 20% for testing, which helped assess their ability to generalize new input conditions. In the secondary approach, similar to the first approach, studies were conducted with different deep learning models, namely Res-Net, Efficient Net, and Inception Net, to evaluate model performance. …”
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Comprehensive Review on Evaporative Cooling and Desiccant Dehumidification Technologies for Agricultural Greenhouses by Fakhar Abbas, Muhammad Sultan, Muhammad Wakil Shahzad, Muhammad Farooq, Hafiz M. U. Raza, Muhammad Hamid Mahmood, Uzair Sajjad, Zhaoli Zhang

“…The results show that the MEC system effectively reduces the ambient temperature up to the ideal range while maintaining the humidity ratio, and both dehumidification systems effectively reduce the humidity level and improve evaporative cooling efficiency. The integrated systems and hybrid systems have the ability to increase energy efficiency and controlled climatic stability in greenhouses. …”
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Effect of Cutting Phenological Stage, Chemical Treatments, and Substrate on Rooting Softwood Cuttings of Tree Peony by Dongli Li, Fangyun Cheng, Xiwen Tao, Yuan Zhong

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Dynamic Connectivity Hub: Multiple ISPs Smart Aggregation for Optimized IoT Connectivity by Hany Ali, Mohamed A. Abouelatta, Khaled Y. Youssef

“…Extensive simulations demonstrate that the DCH outperforms traditional static ISP models in terms of latency reduction, cost efficiency, and resilience to outages. Validation through MATLAB simulations highlights the DCH’s ability to outperform baseline models by demonstrating a 50% reduction in latency, a 25% improvement in data rate allocation, and a 20% reduction in operational costs compared to traditional static models. …”
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FGA-Corn: an integrated system for precision pesticide application in center leaf areas using deep learning vision by Zhongqiang Song, Zhongqiang Song, Wenqiang Li, Xuehang Song, Shun Li

“…Building on the YOLOv8n framework, a more efficient GHG2S backbone generated by HGNetV2 enhanced with GhostConv and SimAM is proposed for feature extraction. …”
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