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    Analysis of Preanalytical Errors in Clinical Biochemistry Laboratory of a Tertiary Care Hospital: A Retrospective Study by Dhanalakshmi Balasundararaj, M Senthil Prabhu, S Thilagarajan, Kathiravan Rajendran

    Published 2024-12-01
    “…Among the pre-analytical errors, haemolysis accounted for 806 (53.6%), clotted samples 256 (17%), delta check 217 (14.4%), insufficient sample 129 (8.6%), contamination 74 (4.9%), identification error 14 (0.9%), sample without request form 3 (0.2%) while missing samples, billing error, inappropriate tube, delay in transport and wrong test selection accounted for <3 (0.1%). …”
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  9. 349

    Morpho-biological study of the grain sorghum collection of the fsbsi «ARC «Donskoy» by A. A. Kalyuzhny, P. I. Kostylev, V. V. Kovtunov

    Published 2024-11-01
    “…The current paper has presented the estimation results of the grain sorghum varieties and samples in a collection nursery. The purpose of the study was to analyze the collection material of grain sorghum and select the best variety samples for breeding work. …”
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  10. 350

    Antibiogram Study of Bacterial Pathogen from Tilapia Fish in Bangladesh by Sume Begum, Md. Salauddin, Md. Khaled Hossain, Mst. Deloara Begum

    Published 2019-04-01
    “…A serial dilution was prepared with the stated sample and at the amount of 0.1 ml was plated on nutrient agar, differential also specific media respectively. …”
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    Influenza virus drug resistance: a time-sampled population genetics perspective. by Matthieu Foll, Yu-Ping Poh, Nicholas Renzette, Anna Ferrer-Admetlla, Claudia Bank, Hyunjin Shim, Anna-Sapfo Malaspinas, Gregory Ewing, Ping Liu, Daniel Wegmann, Daniel R Caffrey, Konstantin B Zeldovich, Daniel N Bolon, Jennifer P Wang, Timothy F Kowalik, Celia A Schiffer, Robert W Finberg, Jeffrey D Jensen

    Published 2014-02-01
    “…Results reveal a striking consistency amongst the three estimation procedures developed, showing strongly increased selection pressure in the presence of drug treatment. …”
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  15. 355

    Effect of Sampling Orientation on The Mechanical Properties of Glass Fiber Reinforced Epoxy Nanocomposites by Gökhan Demircan

    Published 2024-02-01
    “…Remarkably, results showed up to a 3.91% increase in values from samples in the third zone, particularly on the vacuum outlet side. …”
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  16. 356

    Assessment of new self-fertile breeding samples of lucerne (Medicago sativa L.) by Н. В. Башкірова, А. О. Глибовець

    Published 2014-03-01
    “…The results obtained are allowed to select in hotbed of pre-strain testing samples with high levels of self-fertility, seed yield 0,24-0,29 t/ha, herbage for three mowing - 63,2-67,7 t/ha, high dry matters content, which will be used in future breeding process…”
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  17. 357

    Overcoming Data Imbalance in Risk Management: A Comparative Study of Sampling Methods by Arya Wijna Astungkara, Achmad Pratama Rifai

    Published 2025-06-01
    “…This paper presents a comparative study of eight sampling methods—Random Undersampling (RUS), Random Oversampling (ROS), Edited Nearest Neighbor (ENN), One-Sided Selection (OSS), SMOTE, ADASYN, SMOTEENN, and SMOTETomek—across three imbalanced datasets: Taiwanese Bankruptcy Prediction, IBM HR Analytics Employee Attrition, and Loan Prediction. …”
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  18. 358

    Logitwise Distillation Network: Improving Knowledge Distillation via Introducing Sample Confidence by Teng Shen, Zhenchao Cui, Jing Qi

    Published 2025-02-01
    “…Specifically, LDN introduces three key innovations: (1) weighted class means that prioritize high-confidence samples, (2) adaptive feature selection based on logit ranking, and (3) positive–negative sample adjustment (PNSA) to reverse error-prone supervision. …”
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    A Method for Auto Generating a Remote Sensing Building Detection Sample Dataset Based on OpenStreetMap and Bing Maps by Jiawei Gu, Chen Ji, Houlin Chen, Xiangtian Zheng, Liangbao Jiao, Liang Cheng

    Published 2025-07-01
    “…To evaluate its effectiveness, we selected three publicly available datasets—WHU, INRIA, and DZU—and conducted three types of experiments using the following four representative object detection models: SSD, Faster R-CNN, DETR, and YOLOv11s. …”
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