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  1. 14441

    Improved sap flow prediction: A comparative deep learning study based on LSTM, BiLSTM, LRCN, and GRU with stem diameter data by Amora Amir, Marya Butt

    Published 2025-12-01
    “…Unlike existing studies that rely on multi-variable environmental data from large-scale datasets such as SAPFLUXNET, COCO or KAGGLE this research is based on in-house experimental data collected in close collaboration with a sensor developer and farmers. …”
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    Article
  2. 14442

    Nitrate-nitrogen dynamics in response to forestry harvesting and climate variability: 4 years of UV nitrate sensor data in a shallow gravel aquifer by B. Wilkins, T. Johns, S. Mager

    Published 2025-07-01
    “…These findings have implications for forestry land management and the understanding of inorganic nitrogen dynamics in groundwater in response to rainfall recharge. …”
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  3. 14443

    Toward a European tort law of data protection: The case law of the Court of Justice of the European Union and its impact on national tort laws by Novović Miloš, Bubalo Lana

    Published 2025-01-01
    “…The paper examines the provisions governing non-material damage resulting from violations of the right to personal data protection under the General Data Protection Regulation (GDPR), as well as their interpretation in the case law of the Court of Justice of the European Union (CJEU). …”
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  4. 14444

    A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

    Published 2025-08-01
    “…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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  5. 14445

    Opportunities amid complexities in returning genetic results to black precision medicine research participants: Interview themes in context with open all of us data by Rachele M. Hendricks-Sturrup, Nora Emmott, Maryam Nafie, Stephanie Argetsinger, Lauren Edgar, Tracey Johnson-Glover, Kurt D. Christensen

    Published 2025-01-01
    “…Themes were placed into context with Data Browser content, focusing on genes and their respective alleles with frequencies ≥0.10 in African ancestry populations in All of Us. …”
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    Article
  6. 14446

    Method selection affects the estimates of residency and site fidelity in bottlenose dolphins: testing sensitivity and performance of different methods using mark-resight data by Israel Huesca-Domínguez, Eduardo Morteo, Luis Gerardo Abarca-Arenas, Brian C. Balmer, Tara M. Cox, Christian A. Delfín-Alfonso, Isabel C. Hernández-Candelario

    Published 2024-11-01
    “…Also, although the residency categories proposed by Möller, Allen & Harcourt (2002) (DOI 10.1071/AM02011) did not perform as well, these seemed to fit better when dealing with data gaps across spatial and temporal scales. Our results contribute to the ongoing discussion on methodological implications for the interpretation of ecological patterns, facilitating a nuanced understanding of population dynamics, aiding scientists, and conservation agencies in making informed decisions for bottlenose dolphin populations worldwide.…”
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  7. 14447

    The Suicide-Risk Factor – Data Query Tool (SURF-DQT): easy and handy access to the exhaustive base of highest evidence suicide risk factors by C.-E. Notredame, M. Ford, N. Jabari, O. Bhuiyan, S. Richard-Devantoy

    Published 2024-12-01
    “…The Suicide Risk-Factor – Data Query Tool (SURF-DTQ) is a web application that collates organized data and helps with meta-analysis of suicidality data. …”
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    Article
  8. 14448

    A TRIM Family-Based Strategy for TRIMCIV Target Prediction in a Pan-Cancer Context with Multi-Omics Data and Protein Docking Integration by Yisha Huang, Jiajia Xuan, Jiayan Liang, Xixi Liu, Yonglei Luo, Xuejuan Gao, Wanting Liu

    Published 2025-06-01
    “…Learning from the functional and structural interaction features between 718 experimentally validated TRIM–target pairs, two types of SVM-based binary models were independently trained using proteomic and transcriptomic data. Our models achieved robust prediction performance in cancers utilizing a fair feature space and circumventing hypothetical non-interacting pairs. …”
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    Article
  9. 14449

    Geographic disparities and temporal trends in Clostridium difficile Enterocolitis mortality among United States adults from 1999 to 2020 using CDC data by Hafsa Shahid, Alia Iftikhar, Fatima Sial

    Published 2025-08-01
    “…This study analyzes CDC data from 1999 to 2020 to assess long-term mortality trends and identify disparities. …”
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  10. 14450

    Random Forest-Based Machine Learning Model Design for 21,700/5 Ah Lithium Cell Health Prediction Using Experimental Data by Sid-Ali Amamra

    Published 2025-03-01
    “…In this research, the use of machine learning techniques for predicting the state of health (SoH) of 5 Ah—21,700 lithium-ion cells were explored; data from an experimental aging test were used to build the prediction model. …”
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  11. 14451

    Offering zero-rated content in the shadow of net neutrality by Giuseppe Colangelo, Valerio Torti

    Published 2021-04-01
    “… In the recent Telenor case, the EU Court of Justice has for the first time interpreted the relationship between net neutrality regulation and zero-rating offers, considering the former incompatible with the offer of packages in which data traffic generated by certain applications does not count towards the consumption of the data volume purchased and whereby, once that data volume has been used up, end-users may continue to use those applications without restriction, while other applications are blocked or slowed. …”
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  12. 14452
  13. 14453
  14. 14454

    Network log analysis with SQL-on-Hadoop by Si-yu ZHANG, Kai-da JIANG, Jian-wen WEI, Xuan LUO, Hai-yang WANG

    Published 2014-10-01
    “…With the rapid expansion of network bandwidth,devices and applications,log management is facing the challenge of exploding data volumes.Log analysis platform built on SQL-on-Hadoop is capable of storing and querying hundreds of billions of log entries effectively.Columnar and compressed data formats for Hadoop are benchmarked with real-world multi-TB dataset.Conditional and statistical querying efficiency of Hive and Impala is tested.With gzipped parquet format,log data can be compressed by 80%,and querying with impala is 5 times faster.On this platform,six security incident analysis and detection applications are already deployed.…”
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  15. 14455

    Conventional Near-Infrared Spectroscopy and Hyperspectral Imaging: Similarities, Differences, Advantages, and Limitations by Daniel Cozzolino

    Published 2025-06-01
    “…Specifically, NIR-HSI systems provide spatial information and spectral data, while conventional NIR spectroscopy provides spectral information from a single point. …”
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  16. 14456

    Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

    Published 2023-02-01
    “…This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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  17. 14457

    Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

    Published 2021-04-01
    “…Digitalization spreads day by day around the world; thus, the amount of data collected is on the rise. An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. …”
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  18. 14458

    Transformer-Based Single-Cell Language Model: A Survey by Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng

    Published 2024-12-01
    “…In addition, increasing studies based on transformers have been proposed to model single-cell data. In this review, we attempt to systematically summarize the single-cell language models and applications based on transformers. …”
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  19. 14459
  20. 14460

    Achieving more sustainable agricultural production: investigating the impact of agricultural machinery services on fertilizer reduction based on survey data from wheat farmers by Chenyang Liu, Wei Guo, Ling Xin

    Published 2025-07-01
    “…This study investigates the impact of AMS on fertilizer application intensity (FAI) among wheat farmers, aiming to understand whether and how AMS contribute to more sustainable fertilizer use.MethodsWe use survey data collected from 926 wheat farmers across five provinces in the North China Plain. …”
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