Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection by Wang Guiqiang, Chen Junbao, Li Chengzhang, Lu Shuo

“…The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. …”
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Wheat Yield, Biomass, and Radiation Interception and Utilization Under Conservation Tillage: Greater Response to Drip Fertigation Compared to Intensive Tillage by Yuechao Wang, Jinxiao Song, Wen Li, Tingting Yan, Depeng Wang, Jianfu Xue, Zhiqiang Gao

“…To conclude, our findings underscore the critical need to optimize water and nitrogen management strategies to maximize yield under conservation tillage systems.…”
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Realization approaches for constructing energy self-sufficient wastewater treatment plants: a review by Xinyue Song, Peng Li, Bo Zhang, Kaifeng Yu, Dong Zhang, Yiliang He

“…Despite promising progress, further empirical studies are necessary to verify these strategies under varying conditions and to explore optimized approaches for future energy-neutral wastewater management.…”
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Investigation of Ionic Conductivity of Electrolytes for Anode-Free Lithium-Ion Batteries by Impedance Spectroscopy by Azhar Abdrakhmanova, Alfira Sabitova, Binur Mussabayeva, Bulbul Bayakhmetova, Zhanna Sharipkhan, Elmira Yermoldina

“…Despite this advantage, they often experience rapid capacity degradation and a limited cycle life. Optimizing electrolyte formulations—particularly through the use of specific additives, solvents, and lithium salts—is essential to improving these systems. …”
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Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation by Sara Asadi, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Javier Senent-Aparicio

“…Precise streamflow forecasting in river systems is crucial for water resources management and flood risk assessment. …”
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CLIP-BCA-Gated: A Dynamic Multimodal Framework for Real-Time Humanitarian Crisis Classification with Bi-Cross-Attention and Adaptive Gating by Shanshan Li, Qingjie Liu, Zhian Pan, Xucheng Wu

“…Hierarchical learning rate scheduling and multidimensional data augmentation further optimize feature fusion for real-time multiclass classification. …”
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A Hybrid Attention Framework Integrating Channel–Spatial Refinement and Frequency Spectral Analysis for Remote Sensing Smoke Recognition by Guangtao Cheng, Lisha Yang, Zhihao Yu, Xiaobo Li, Guanghui Fu

“…In recent years, accelerated global climate change has precipitated an increased frequency of wildfire events, with their devastating impacts on ecological systems and human populations becoming increasingly significant. …”
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Load and velocity boundaries of oil-based superlubricity using 1,3-diketone by Yuyang Yuan, Tobias Amann, Yuwen Xu, Yan Zhang, Jingfu Chen, Chenqing Yuan, Ke Li

“…Abstract The clarification of the critical operating conditions and the failure mechanism of superlubricity systems is of great significance for seeking appropriate applications in industry. …”
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Simulation study of heat transfer behaviour of turbulent two-phase flow in a 3D cubic shell and tube heat exchanger using water and different nanofluids by Ali Khaleel Kareem, Athraa Hameed Alabbasi, Ali M. Mohsen

“…Overall, this study furnishes valuable insights for optimizing heat transfer performance in such systems.…”
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An ensemble-driven machine learning framework for enhanced water quality classification by Preet Singh, Taniya Hasija, Salil Bharany, Hafiza Nazra Tun Naeem, B. Chinna Rao, Seada Hussen, Ateeq Ur Rehman

“…Its accurate definition helps identify health risks, optimize resource consumption, and feed sustainable practices. …”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

“…Precise localization of temperature-sensing patches in images is achieved by optimizing the YOLOV3 algorithm with a binary k-means clustering algorithm and an attention mechanism. …”
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Controlling the Brantas river: construction and impact of Japan-supported irrigation infrastructure on the agricultural economy and the environment in East Java by Nawiyanto, Sarkawi B. Husain, Wisnu, Mohamad Nai’m

“…Additionally, while acknowledging sacrifices incurred during the construction process and the environmental consequences of their operations, it is evident that the Japan-supported irrigation infrastructure effectively tamed the ferocity of the river and optimized its benefits, significantly improving the livelihoods of many people. …”
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Effect of Far-Red Light and Nutrient Solution Formulas on Calendula Production in a Plant Factory by Maitree Munyanont, Na Lu, Thanit Ruangsangaram, Michiko Takagaki

“…To optimize calendula cultivation in PFALs, this study investigates the effects of far-red (FR) light and nutrient solution modification on calendula growth, flowering, and nutrient use efficiency (NUE). …”
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Advancing soil mapping and management using geostatistics and integrated machine learning and remote sensing techniques: a synoptic review by Sunshine A. De Caires, Chaney St Martin, Melissa A. Atwell, Fuat Kaya, Glorious A. Wuddivira, Mark N. Wuddivira

“…Although advancements in variogram estimation and kriging techniques have optimized sampling strategies, and improved prediction accuracy, challenges persist in computational efficiency and uncertainty quantification. …”
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“BRAINSTORM” OF SUSTAINABLE DEVELOPMENT INDEXES AND INDICATORS (ON THE EXAMPLE OF THE VOLGA BASIN) by N. V. Kostina, G. S. Rozenberg, G. E. Kudinova, A. G. Rozenberg, M. V. Pyrsheva

“…For the remaining areas optimally use a mixed strategy A + B for sustainable development.…”
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Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

“…This review examines the multidimensional mechanisms by which AI enables and optimizes these processes: (1) AI-powered predictive models, integrated with machine learning algorithms (MLAs), Industry 4.0, and other advanced digital systems, support real-time monitoring and control of intelligent bioreactors, allowing for accurate forecasting of cultivation yields and market demand. (2) AI facilitates in-depth analysis of gene regulatory networks and key metabolic pathways, enabling precise control over the biosynthesis of targeted compounds. (3) AI-based spectral imaging and image recognition techniques enable rapid and reliable identification, classification, and quality assessment of active components. (4) AI accelerates the transition from mass production to the development of personalized medical and functional nutritional products. …”
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Dynamic Behavior of Lighting GFRP Pole Under Impact Loading by Mahmoud T. Nawar, Ahmed Elbelbisi, Mostafa E. Kaka, Osama Elhosseiny, Ibrahim T. Arafa

“…These findings underscore the importance of optimizing pole geometry to enhance crashworthiness. …”
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Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms by Weixiong Chen, Yu Tian, Yingjie Wang, Lili Feng, Mannan Abdul, Shuangshuang Li, Wenxian Li, Yuan Han

“…AI-powered robots show great potential as assistive tools for optimizing intubation maneuvers, whereas clinical decision-making (e.g., determining the necessity of intubation) remains under the supervision of physicians.…”
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A Comparative Investigation into Training Intensity Distribution for Elite Athletes: Systematic Review by Nagpal Manish, Malhotra Nitesh

“… Background: Endurance sports demand a finely-tuned balance between training intensity and volume to optimize athletic performance. Training Intensity Distribution has become a critical training parameter in endurance sports, potentially eliciting superior physiological adaptations and improving overall performance outcomes. …”
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Circular economy strategies in supply chain management: an evaluation framework for airport operators by Maria Sartzetaki, Triantafyllia Karampini, Aristi Karagkouni, Evaggelos Drimpetas, Dimitrios Dimitriou

“…The transition from linear to circular economic systems represents a critical step towards achieving global sustainability goals. …”
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