An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production by Pramod N. Belkhode, Shrikant M. Awatade, Chander Prakash, Sagar D. Shelare, Deepali Marghade, Sameer Sheshrao Gajghate, Muhamad M. Noor, Milon Selvam Dennison

“…Physics-Informed Neural Networks (PINNs) successfully predict reaction pathways and intermediate states, minimizing synthesis errors by 25%. Variational Autoencoders (VAEs) generate novel material configurations, improving photocatalytic efficiency by up to 15%. …”
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Examining malaria treatment and prevention spending efficiency in malaria-endemic countries, 2000–2020 by Angela E. Apeagyei, Ian Cogswell, Nishali K. Patel, Kevin O’Rourke, Golsum Tsakalos, Joseph L. Dieleman

“…This development has made it more important than ever to understand what constitutes efficient spending on malaria. Methods Data from various sources, including disaggregated data on malaria spending from the WHO Global Malaria Programme, National Health Accounts, and the Global Burden of Disease 2021 study was used in this study. …”
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Cost-Effective Detection of SNPs and Structural Variations in Full-Length Genes of Wheat and Sunflower Using Multiplex PCR and Rapid Nanopore Kit by Ekaterina Polkhovskaya, Evgeniy Moskalev, Pavel Merkulov, Ksenia Dudnikova, Maxim Dudnikov, Ivan Gruzdev, Yakov Demurin, Alexander Soloviev, Ilya Kirov

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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This study proposes a small target detection algorithm for UAV aerial images using a ConvMixer detection head based on the improved YOLOv7-tiny to address the problems of missed detection and false detection caused by significant variations in target scale, densely distributed small-sized targets and complex backgrounds in UAV aerial images.MethodsFirst, the activation function LeakyReLU is replaced with SiLU to compensate for the limited nonlinear expression of LeakyReLU and to enhance convergence speed and model generalization during training. …”
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The impact of DRG reimbursement system on appropriate techniques of traditional Chinese medicine—evidence from pilot cities with traditional Chinese medicine hospitals in China by Jin Zhang, Yana Zhou, Dan Han, Chen Zhang, Yajuan Xiong

“…It is recommended that policymakers consider the compatibility of DRG with TCM methods to ensure fairness and efficiency.…”
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Study on the Leakage Diagnosis of a Chilled Water Pipeline Network System Based on Pressure Variation Rate Analysis for Climate Change Mitigation by Xuan Zhou, Fei Liu, Lisheng Luo, Shiman Peng, Junlong Xie

“…Such leakages reduce system lifespan, raise maintenance costs, and degrade operational efficiency. To overcome the limitations of current methods, such as insufficient interpretability and computational complexity in leak localization, this paper proposes a novel leakage diagnosis and localization scheme based on pressure variation rate analysis in closed chilled water pipeline networks. …”
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Accuracy and cost comparison of 3D-printed guides in complex spinal deformity correction: direct vs indirect design by Wei Yang, Wei Yang, Wei Yang, Wei Guo, Wei Guo, Wen-Jun Wu, Rong Ma, Zemin Wang, Honglai Zhang, Wanzhong Yang, Zhaohui Ge, Zhaohui Ge

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Optimizing Black Soldier Fly (Hermetia illucens) production: effects of substrate variation on biomass, nutritional quality, hatchability, fecundity, and frass quality by Erick O. Ogello, Nicholas O. Outa, Mavindu Muthoka, Fredrick Juma, Fredrick Juma, Jan Hoinkis

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Quantifying the Spatiotemporal Variations of Soil Nitrogen Fixation or Absorption from Soybean, Cotton, and Maize Planted Fields to Support Sustainable Agriculture Practices by José Bofana, Raul Domingos Mussane, Rosalina Armando Tamele, Ana Cristina Costa, Barreta Savanguane, Ivans Popinsky, António F. Matusse

“…Laboratory analysis employed the Kjeldahl method to determine total soil nitrogen levels. The Inverse Distance Weighted (IDW) method was used for mapping the spatial total soil nitrogen distribution. …”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…This work introduces the Aggregated Vertical Projection Clustering (APC) method, which applies K-means clustering to partition the data into k groups based on porosity. …”
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Assessment of Variations in HAPS Scores, CaMK II Expression Levels, and Prognostic Outcomes Among AP Patients with Diverse Disease Severities by Yu L, Zhao H, Cheng Y, Fang Z

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A Numerical Approach to Calculate the Radiation Efficiency of Baffled Planar Structures Using the Far Field by Mario A. GONZÁLEZ-MONTENEGRO, Roberto JORDAN, Arcanjo LENZI, Jorge P. ARENAS

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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems by K. Rajaram, R. Kannan

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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…To address the challenges posed by complex texture variations and surface modifications across road pavements, in this study, an enhanced method for pavement-type identification is proposed. …”
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Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning With Adaptive Quantization and Differential Privacy by Emre Ardic, Yakup Genc

“…To address both privacy and communication efficiency, we combine differential privacy (DP) and adaptive quantization methods. …”
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Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

“…Deep learning methods are categorized into one-stage detectors (e.g., YOLO, SSD, FCOS, CenterNet), two-stage detectors (e.g., Faster R-CNN, Mask R-CNN), transformer-based detectors (e.g., DETR, Swin Transformer), and GAN-based methods, highlighting architectural trade-offs concerning speed, accuracy, and practical deployment. …”
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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…Quantitative assessment yielded 98.57% F1-score and 98.77% overall accuracy with moderate computational resources (2.25M parameters, 1.11G FLOPs), demonstrating significant improvements over existing methods. The proposed workflow achieves a balance between classification accuracy and processing efficiency, making it suitable for large-scale urban tree inventory applications.…”
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An Investigation on Natural Window Ventilation: Improving Indoor Air Quality and Energy Efficiency in an Office Building by Emine Şen, Touraj Ashrafian

“…This paper aims to investigate natural ventilation occupant-control methods to improve indoor air quality and increase building energy efficiency considering clean air intake levels and indoor air temperature levels. …”
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UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation by Chunyu Yuan, Dongfang Zhao, Sos S. Agaian

“…Evaluations on the ISIC2017 and ISIC2018 datasets demonstrate that UCM-NetV2 outperforms existing methods in accuracy and com- putational efficiency, achieving up to 67 times faster inference speeds than U-Net and requiring less than 0.04 GFLOPs. …”
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Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency by Zogaj Gani, Ismaili Florie, Idrizi Ermira, Luma Artan

“…Web application security is a critical aspect of modern cybersecurity, necessitating efficient and reliable vulnerability detection mechanisms. …”
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