A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. …”
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Deep fusion approach: Combining hyperspectral imaging and ground penetrating radar for accurate cornfield soil moisture mapping by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…These outcomes highlight the effectiveness of the 1DCNN-ANN in handling complex datasets and its consistent success in refining model accuracy and reliability.…”
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Enhanced AUV Autonomy Through Fused Energy-Optimized Path Planning and Deep Reinforcement Learning for Integrated Navigation and Dynamic Obstacle Detection by Kaijie Zhang, Yuchen Ye, Kaihao Chen, Zao Li, Kangshun Li

“…Ultimately, it enhances AUV operational performance and autonomy in complex maritime scenarios.…”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

“…The movement trajectories of biological objects can be represented by time series exhibiting a complex multicomponent structure and non-stationary dynamics, thus limiting the effectiveness of conventional correlation and spectral time series analysis methods. …”
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An Innovative Method of Monitoring Cotton Aphid Infestation Based on Data Fusion and Multi-Source Remote Sensing Using Unmanned Aerial Vehicles by Chenning Ren, Bo Liu, Zhi Liang, Zhonglong Lin, Wei Wang, Xinzheng Wei, Xiaojuan Li, Xiangjun Zou

“…Although the traditional remote sensing method with a single data source improves the monitoring efficiency to a certain extent, it has limitations with regard to reflecting the complex distribution characteristics of aphid pests and accurate identification. …”
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A PSO-CNN-LSTM Model for Seismic Facies Analysis: Methodology and Applications by Luyao Liao, Huailai Zhou, Junping Liu, Jie Zhou, Donghang Zhang, Jian Wang

“…The established intelligent waveform classification workflow validates PSO-CNN-LSTM model&#x2019;s robustness and offers an efficient solution for seismic facies analysis, particularly in complex geological settings.…”
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從工具示能性與關係行動主體之觀點 探討偏鄉教育系統賦能策略之研究 Investigating the Construction of Empowerment Action Models in Remote Educational Systems Through the Lenses of Tool Affordance and Relational Age... by 陳佩英 Peiying Chen, 洪琴雯 Chin-Wen Hung

“…Conclusion In conclusion, the complex problems embedded in rural schools in terms of structure and system still require policy support. …”
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Toward Integrative Biomechanical Models of Osteochondral Tissues: A Multilayered Perspective by Bruna Silva, Marco Domingos, Sandra Amado, Juliana R. Dias, Paula Pascoal-Faria, Ana C. Maurício, Nuno Alves

“…Through critical comparison of existing mathematical models, the viscoelastic model is suggested as a pragmatic starting point for modeling articular cartilage zones, the tidemark, and the calcified cartilage layer, as it captures essential time-dependent behaviors such as creep and stress relaxation while ensuring computational efficiency for initial coupling studies. On the other hand, a linear elastic model was identified as an optimal starting point for both the subchondral bone plate and the subchondral trabecular bone, reflecting their dense and stiff nature, and providing a coherent framework for early-stage multilayer integration. …”
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Comparative Physicochemical and Pharmacotechnical Evaluation of Three Topical Gel-Cream Formulations by Ramona Pârvănescu, Cristina Trandafirescu, Adina Magdalena Musuc, Emma Adriana Ozon, Daniela C. Culita, Raul-Augustin Mitran, Cristina-Ionela Stănciulescu, Codruța Șoica

“…In the context of modern dermocosmetic development, multifunctional topical gel-cream formulations must be efficient for both therapeutic efficacy and cosmetic applications. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…By combining blockchain’s decentralized storage capabilities with DRL’s dynamic optimization potential, the system demonstrates a scalable and efficient approach for distributed data analysis in complex scenarios.…”
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The role of intersectionality in shaping participant engagement with health research through digital methods: findings from a qualitative study by Cherish Boxall, Felicity L. Bishop, Nisreen A. Alwan, Shaun Treweek, Gareth Griffiths, Nnenna Ekeke, John McGavin, Jane Thorp, Katherine Bradbury

“…The third theme uncovered the complex ways participants established trust in research, relying on multi-channel trust makers. …”
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Age-related differences in eye blink-related neural activity and functional connectivity during driving by Emad Alyan, Stefan Arnau, Stephan Getzmann, Julian Elias Reiser, Melanie Karthaus, Edmund Wascher

“…Driving is a complex task that requires effective neural processing and coordination, which degrade with aging. …”
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A Dual-Source Deep Learning Model for Mapping Wet Anabranches in Braided Rivers on the Tibetan Plateau by Xiaolu Liu, Xiaoyi Ma, Shuai Qin, Tang Liu, Chenghu Zhou

“…Dynamically monitoring these rivers is crucial for understanding the unique sedimentary processes and hydrodynamic patterns of the plateau. However, the complex network of water channels and sandbars, coupled with frequent cloud cover, intricate terrain, and numerous branches in the plateau region, poses significant challenges to traditional monitoring and extraction methods. …”
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Structurally engineered monolithic catalyst for enhanced sunlight-driven degradation of ciprofloxacin in contaminated water systems by Iqra Mazhar, Muhammad Afzaal, Muhammad Altaf, Manzar Sohail, Raja Shahid Ashraf, Abdul-Sattar Nizami

“…The sunlight-assisted photocatalytic degradation efficiency of optimized catalyst exhibited maximum of 78% removal in 70 min, twice the efficiency of pure ZnO/Ni/GF (37%). …”
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Acute coronary syndrome in patients with prior coronary artery bypass grafting. Literature review by O. L. Barbarash, R. S. Tarasov, V. I. Ganyukov

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Comprehensive thermal properties, kinetic, and thermodynamic analyses of biomass wastes pyrolysis via TGA and Coats-Redfern methodologies by Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, Obadiah Maube

“…The results identified three distinct pyrolysis stages: drying, devolatilization, and char formation, with macadamia nutshell demonstrating the highest thermal reactivity and efficient devolatilization characteristics, reflected by its lowest initial devolatilization temperature (175 °C) and highest peak temperature (380 °C). …”
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METHOD AND SYSTEM FOR ASSESSING OF SPORTSMAN’S PHYSIOLOGICAL RESERVES DURING PHYSICAL EXERCISES by Nguyen Mau Thach, Nguyen Trong Tuyen, Tran Trong Huu

“…For achievement of the aim the tasks were formulated and solved using methods of biomedical research and engineering, mathematical processing and analysis of the diagnostically valuable parameters. Results. The complex of the biomedical parameters reflecting sportsman’s body metabolism in condition of physical exercises is formed. …”
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Study on Heat Transfer of Fluid in a Porous Media by VOF Method with Fractal Reconstruction by Shuai Liu, Qingyong Zhu, Wenjun Xu

“…This research is significant because understanding heat transfer in these complex porous media is essential for optimizing energy systems, enhancing thermal management in industrial processes, and improving the efficiency of phase-change-based technologies. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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