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  1. 1781

    GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

    Published 2024-11-01
    “…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
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  2. 1782

    Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

    Published 2025-05-01
    “…In this way, the hereby adopted methodology was evolved into an efficient lake management tool by providing managers the means for integrated sustainable water resources management while contributing to saving valuable image pre-processing time.…”
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  3. 1783

    State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

    Published 2025-05-01
    “…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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  4. 1784

    Mapping stakeholders, services, data, and the information system for adolescent health in the West Bank by Aisha Shalash, Maysaa Nemer, Niveen Abu-Rmeileh, Mohammad Kittaneh, Dervla Kelly, Khalifa Elmusharaf

    Published 2025-05-01
    “…In conflict-affected regions like the West Bank, fragmented service delivery, inconsistent data collection, and lack of coordination between providers undermine the effectiveness of health services. An efficient health information system ensures accurate data collection, stakeholder integration, and evidence-based decision-making. …”
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  5. 1785

    Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

    Published 2025-02-01
    “…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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  6. 1786

    LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

    Published 2025-06-01
    “…A novel SEAM attention module is proposed to refine the features that represent both the spatial and channel information by leveraging the features from the Simple Attention Module (SimAM) and Efficient Channel Attention (ECA) mechanism. The HSM-EIoU loss function is also proposed to accurately detect a small traffic light by amplifying the loss for hard-sample objects. …”
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  7. 1787

    Blue energy recovery in the Atacama Desert using electrochemical ion pumping devices: a Chilean perspective on salinity gradient energy by Felipe M. Galleguillos Madrid, Sebastián Salazar-Avalos, Markus Bergendahl, Javier Quispe, Norman Toro, Galvarino Casanueva-Yáñez, Alvaro Soliz

    Published 2025-08-01
    “…Among these, blue energy, referring to the power generated from the mixing of waters with different salinities, has emerged as a promising yet underutilized source. This perspective presents a comprehensive synthesis of recent advances in electrochemical harvesting systems, with a particular focus on Mixing Entropy Batteries (MEBs) as efficient, membrane-free devices for salinity gradient energy recovery. …”
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  8. 1788

    Effects of Fagopyrum dibotrys rhizoma meal supplementation on productive performance, egg quality, egg nutritional value, and serum biochemical parameters of Shanma laying ducks by Pingwen Xiong, Pingwen Xiong, Pingwen Xiong, Gaoxiang Ai, Gaoxiang Ai, Jiang Chen, Jiang Chen, Wenjing Song, Wenjing Song, Weide Su, Weide Su, Dongyou Yu, Qiongli Song, Qiongli Song, Chuanhui Xu, Chuanhui Xu, Zhiheng Zou, Zhiheng Zou, Qipeng Wei, Qipeng Wei, Xiaolian Chen, Xiaolian Chen, Lizhen Hu, Lizhen Hu

    Published 2025-08-01
    “…However, 3% FDRM addition increased the serum blood urea nitrogen content (p < 0.05), indicating reduced the dietary protein utilization efficiency.DiscussionWith the rapid development of the economy and the continuous improvement of people’s living standards, people have raised higher demands for the nutritional and high quality of eggs. …”
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  9. 1789

    RUL Prediction for Lithium Battery Systems in Fuel Cell Ships Based on Adaptive Modal Enhancement Networks by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Jiaxin Luo, Lei Han, Junting Lang, Weixin Zhao

    Published 2025-02-01
    “…As an auxiliary power source in fuel cell systems, the prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is crucial for enhancing the reliability and efficiency of fuel cell ships. …”
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  10. 1790

    Techno-Economic Feasibility and Optimal Design Approach of Grid-Connected Hybrid Power Generation Systems for Electric Vehicle Battery Swapping Station by Lumbumba Taty-Etienne Nyamayoka, Lesedi Masisi, David Dorrell, Shuo Wang

    Published 2025-03-01
    “…The aim is to evaluate the viability of this hybrid power supply system as an alternative energy source, focusing on its cost-effectiveness. An optimal control model is developed to minimize the total life cycle cost of the proposed system while reducing the reliance on the utility grid and maximizing system reliability, measured by loss of power supply probability. …”
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  11. 1791

    Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations by M. Qamar, M. Khan, A.S. Alqahtani, M.Y. Malik

    Published 2025-03-01
    “…The physical characteristics of nonlinear PDEs are converted into nonlinear coupled ODEs utilizing the right similarity variables. These transformed non-dimensionless equations are resolved utilizing the bvp4c Lobatto IIIA technique via Matlab software. …”
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  12. 1792

    How Rich is Platelet Rich Plasma? A Simple Preparation Method of PRP and Its Quality According to Various Classification Systems by Felice FAIZAL, Balachandra NAMBIAR, Raja CHATTERJEE, Praveer RANJAN

    Published 2020-09-01
    “…Background: platelets are a rich source of various growth factors and hence platelet rich plasma (PRP) is being used therapeutically in the field of dermatology, orthopaedics and dentistry with promising results. …”
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  13. 1793

    Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

    Published 2025-01-01
    “…With the advancement of artificial intelligence (AI) and machine learning, the diagnostic efficiency of LNs is further enhanced. This study evaluates the performance of ultrasound-based AI applications in the classification of benign and malignant LNs. …”
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  14. 1794

    A model for predicting marine shale gas sweet spots based on relative sea-level changes and its application by Hongyan Wang, Zhensheng Shi, Xi Yang, Qun Zhao, Changmin Guo

    Published 2025-06-01
    “…Gas-bearing shales have become a major source of future natural gas production worldwide. …”
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  15. 1795
  16. 1796

    Cell density quantification of high resolution Nissl images of the juvenile rat brain by Julie Meystre, Jean Jacquemier, Olivier Burri, Csaba Zsolnai, Nicolas Frank, João Prado Vieira, Ying Shi, Ying Shi, Rodrigo Perin, Daniel Keller, Henry Markram, Henry Markram

    Published 2024-12-01
    “…The pipeline improved the efficiency and reliability of cell density quantification while accurately assigning cortical layer boundaries. …”
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  17. 1797

    A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

    Published 2024-12-01
    “…Optimizing the operational efficiency of compressor stations within pipeline networks is an effective way to reduce energy consumption and carbon emissions during transportation. …”
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  18. 1798

    Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

    Published 2025-06-01
    “…The balanced and concentrated sub-basins are conducive to the formation of abundant water resources and efficient settlement spatial structure. Basin terrain is an important factor influencing the human settlement environment in a basin, and the impact mode on the quality of the human settlement environment in a basin is “weak monomer, strong synergy”. …”
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  19. 1799

    Carbon-carbon triple bond cleavage and reconstitution to achieve aryl amidation using nitrous acid esters by Zi-Ying Wang, Shoujun Wang, Nan-Nan Dai, Yao Xiao, Yu Zhou, Wen-Chan Tian, Dongru Sun, Qiang Li, Yong Wang, Wen-Ting Wei

    Published 2025-01-01
    “…Nitrous acid ester serves as both a radical source and a hydrogen atom transfer (HAT) reagent to functionalize and utilize the two carbon atoms of the C–C triple bond. …”
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  20. 1800

    Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

    Published 2025-03-01
    “…A unified cost function is proposed, combining fuel economy and system durability through a weighting coefficient, based on a comprehensive model of the hydrogen consumption and degradation characteristics of fuel cells and batteries. Utilizing the dynamic programming (DP) algorithm, the total cost is optimized to derive the optimal weighting factors and component sizing, effectively addressing the multi-objective optimization problem and balancing efficiency and durability. …”
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