Empowering Smallholder Farmers with UAV-Based Early Cotton Disease Detection Using AI by Halimjon Khujamatov, Shakhnoza Muksimova, Mirjamol Abdullaev, Jinsoo Cho, Cheolwon Lee, Heung-Seok Jeon

“…However, most state-of-the-art systems rely on multispectral or hyperspectral sensors, which are costly and inaccessible to smallholder farmers. This paper introduces CottoNet, a lightweight and efficient deep learning framework for detecting early-stage cotton diseases using only RGB images captured by unmanned aerial vehicles (UAVs). …”
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Spatially Varying Selection Amplifies Intrapopulation Differentiation Among Phenotypic Traits in the Rocky‐Shore Mussel, Mytilus californianus by Casey S. Richards, Diana Vera Cruz, Jason W. Shapiro, J. Timothy Wootton, Catherine A. Pfister

“…We investigated the spatial variability of biological responses in the intertidal bivalve Mytilus californianus to highlight the costs and trade‐offs of local adaptation and phenotypic plasticity across various functional traits in a dynamic environment, the marine intertidal. …”
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Instruments to assess knowledge about the prevention of pressure ulcers in intensive care units: A scoping review protocol by Ana Jorge Marques, José Alves, Catarina Marinheiro, Patrícia Coelho, Paulo Alves

“… Introduction: Pressure ulcers represent a significant healthcare challenge, impacting quality of life and increasing costs associated with care. Understanding the factors that influence prevention strategies is crucial for improving outcomes. …”
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Relevance of Targeting Oxidative Stress, Inflammatory, and Pro-Resolution Mechanisms in the Prevention and Management of Postoperative Atrial Fibrillation by Abir Attia, Kalai Mangai Muthukumarasamy, Doa’a G. F. Al-U’Datt, Roddy Hiram

“…Post-operative AF (POAF) is associated with important public health costs caused by increased hospitalization, frequent emergency room visits, and enhanced healthcare utilization, which altogether lead to a low quality of life for the patients. …”
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Context Is King: Large Language Models’ Interpretability in Divergent Knowledge Scenarios by Andrés Piñeiro-Martín, Francisco-Javier Santos-Criado, Carmen García-Mateo, Laura Docío-Fernández, María del Carmen López-Pérez

“…However, these models face knowledge cutoffs and costly updates, driving a new ecosystem for LLM-based applications that leverage interaction techniques to extend capabilities and facilitate knowledge updates. …”
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Spider mites collectively avoid plants with cadmium irrespective of their frequency or the presence of competitors by Godinho, Diogo Prino, Fragata, Inês, de la Masseliere, Maud Charlery, Magalhães, Sara

“…We show that individual spider mite females do not preferentially move to leaf tissues with or without cadmium, despite clear costs on their performance. However, in a set-up where 200 mites were simultaneously given the choice between four plants with or without cadmium, they collectively avoided plants with cadmium, irrespective of the proportion of plants with cadmium. …”
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Artificial Intelligence-Driven Identification of Favorable Geothermal Sites Based on Radioactive Heat Production: Case Study from Western Türkiye by Elif Meriç İlkimen, Cihan Çolak, Mahrad Pisheh Var, Hakan Başağaoğlu, Debaditya Chakraborty, Ali Aydın

“…Reliable, data-driven identification of geothermal reservoirs, particularly in crystalline basement terrains, is crucial for reducing exploration uncertainties and costs. In such geological settings, magnetic susceptibility, radioactive heat production, and seismic wave characteristics play a vital role in evaluating geothermal energy potential. …”
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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…These methods lead to innovative biodiesel development, costing less with lower sulfur content. Except for the economic profits, the reduction of environmental emissions in praxis confirms biodiesel appropriateness for more consumption than fossil blends. …”
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Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach by Sarah A. Alzakari, Salima Hassairi, Amel Ali Al. Hussan, Ridha Ejbali

“…This architecture not only enhances classification accuracy but also optimizes computational efficiency by utilizing deep networks with minimal parameters, which significantly reduces processing time and costs. Our experimental results demonstrate the superior performance of the DSWAE model, achieving precision rates of 94.5% for benign and 93.8% for malignant cases, with recall rates of 93.65% for benign and 96.2% for malignant cases. …”
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Home hospital as a disposition for older adults from the emergency department: Benefits and opportunities by Kei Ouchi, Shan Liu, Daniel Tonellato, Yonatan G. Keschner, Maura Kennedy, David M. Levine

“…Prior work suggests that home hospital care can reduce costs, maintain quality and safety, and improve patient experiences for select acutely ill adults who require hospital‐level care. …”
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The performance of electrocoagulation process for decolorization and COD removal of highly colored real grey water under variable operating conditions by Muhammad Rasool Al-Kilani, Khalid Bani-Melhem

“…Operating with Al electrodes at a current density of 5 mA/cm² led to substantial removal of COD (≥ 82 %) and color (≥ 97 %) while maintaining low operational costs. This study further supports the viability of EC as an effective method for treating grey water, even at high contaminant levels.…”
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An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering by Unmesh Shukla, Geetika Jain Saxena, Manish Kumar, Anil Singh Bafila, Amit Pundir, Sanjeev Singh

“…Medical experts employ electroencephalography (EEG) for analyzing the electrical activity in the brain to infer disorders. However, the time costs of human experts are very high, and the examination of EEGs by such experts, therefore, accounts for a plethora of medical resources. …”
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An intelligent bridge multi-dimension deflection IoT monitoring system based on laser datum and imaging by Dan Zhao, Huifeng Wang, Hao Du, Haoyi Cheng, Lu Peng, Yaru Liang, He Huang, Yunmeng Li

“…Applying this monitoring technology not only significantly improves the efficiency and accuracy of bridge structural health monitoring but also plays a crucial role in ensuring safe bridge operations, extending the service life of bridges, and reducing maintenance costs.…”
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Rapid vessel segmentation and reconstruction of head and neck angiograms from MR vessel wall images by Jin Zhang, Wen Wang, Jinhua Dong, Xiong Yang, Shuwei Bai, Jiaqi Tian, Bo Li, Xiao Li, Jianjian Zhang, Hangyu Wu, Xiaoxi Zeng, Yongqiang Ye, Shenghao Ding, Jieqing Wan, Ke Wu, Yufei Mao, Cheng Li, Na Zhang, Jianrong Xu, Yongming Dai, Feng Shi, Beibei Sun, Yan Zhou, Huilin Zhao

“…By streamlining 3D MR-VWI workflows, VWI Assistant addresses scalability challenges in vascular imaging, offering a practical tool for routine use and large-scale research, significantly improving workflow efficiency while reducing labor and time costs.…”
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Application of a Fiber Optic-Based SHM System to a Composite Aircraft Wing and Its Technological Maturity Evaluation by Gianvito Apuleo, Monica Ciminello, Lorenzo Pellone, Umberto Mercurio, Antonio Concilio

“…With the aim of controlling the structural state of the reference component, several targets may be addressed, including safety increase through a periodic update of the integrity level, maintenance costs reduction, for instance, by moving to an on-demand from the usual scheduled approach, and even design benefits by envisaging the possibility of modulating the safety coefficients due to an increased knowledge of the intimate structural system behavior. …”
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Dynamic Comparative Assessment of Long-Term Simulation Strategies for an Off-Grid PV–AEM Electrolyzer System by Roberta Caponi, Domenico Vizza, Claudia Bassano, Luca Del Zotto, Enrico Bocci

“…Among the various renewable-powered pathways for green hydrogen production, solar photovoltaic (PV) technology represents a particularly promising option due to its environmental sustainability, widespread availability, and declining costs. However, the inherent intermittency of solar irradiance presents operational challenges for electrolyzers, particularly in terms of stability and efficiency. …”
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Research on an Energy-Harvesting System Based on the Energy Field of the Environment Surrounding a Photovoltaic Power Plant by Bin Zhang, Binbin Wang, Hongxi Zhang, Abdelkader Outzourhit, Fouad Belhora, Zoubir El Felsoufi, Jia-Wei Zhang, Jun Gao

“…With the large-scale global deployment of photovoltaics (PV), traditional monitoring technologies face challenges such as wiring difficulties, high energy consumption, and high maintenance costs in remote or complex terrains, which limit long-term environmental sensing. …”
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Current and Future Diagnostics for Hepatitis C Virus Infection by Hussein Zilouchian, Omair Faqah, Md Alamgir Kabir, Dennis Gross, Rachel Pan, Shane Shaifman, Muhammad Awais Younas, Muhammad Abdul Haseeb, Emmanuel Thomas, Waseem Asghar

“…However, conventional diagnostic approaches available, such as enzyme immunoassays (EIAs) and polymerase chain reaction (PCR)-based methods, are often costly, time-intensive, and challenging to be implemented in resource-limited settings. …”
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Fine-Tuning Pre-Trained Large Language Models for Price Prediction on Network Freight Platforms by Pengfei Lu, Ping Zhang, Jun Wu, Xia Wu, Yunsheng Mao, Tao Liu

“…Various factors influence the formation and adjustment of network freight prices, including transportation costs, cargo characteristics, and policies and regulations. …”
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Efficient verifiable searchable encryption with search and access pattern privacy by Wu Axin, Feng Dengguo, Zhang Min, Chi Jialin, Zhang Yinghui

“…Unfortunately, the existing schemes that protect access and search patterns result in frequent communications and high computational costs. Furthermore, complex calculation processes also raise challenges for verifying search results. …”
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