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Showing 261 - 280 results of 3,330 for search '((( success OR source) selection functions ) OR ( sources detection functions ))', query time: 0.35s Refine Results
  1. 261

    How to set-up an effective Sacral Neuromodulation service by Franco Marinello, MD,PhD.

    Published 2024-12-01
    “…This article gives an overview of the main logistic fields to successfully set up a comprehensive and correct SNM provision.…”
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    Article
  2. 262

    Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

    Published 2025-06-01
    “…In real-world scenarios, raw multi-source data are generally unlabeled and inherently contain multi-view noise and feature redundancy, leading to extensive research on unsupervised multi-view feature selection. …”
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    Article
  3. 263

    The Coach's Role in Understanding the Athletes' Condition: Maximizing Communication Functions by Eko Purnomo, Siti Aisyah, Hartono Hadjarati, Adek Cerah Kurnia Azis, I Kadek Suardika, Nina Jermaina, Nurkhoiroh Nurkhoiroh, Agus Gumilar

    Published 2024-06-01
    “…To conduct this research on the coach's role in understanding athletes' condition and maximizing communication functions, a selective study approach will be employed. …”
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    Article
  4. 264

    Multi-Strategy Enhanced Parrot Optimizer: Global Optimization and Feature Selection by Tian Chen, Yuanyuan Yi

    Published 2024-10-01
    “…The ECPO incorporates a sophisticated strategy selection mechanism that allows individuals to retain successful behaviors from prior iterations and shift to alternative strategies in case of update failures. …”
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    Article
  5. 265

    Normal T cell selection occurs in CD205-deficient thymic microenvironments. by William E Jenkinson, Kyoko Nakamura, Andrea J White, Eric J Jenkinson, Graham Anderson

    Published 2012-01-01
    “…The array of peptides utilized for positive selection appears to play a key role in shaping TCR repertoire and influencing T cell functionality. …”
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    Article
  6. 266

    Research on multi-source heterogeneous data fusion system based on device object model by Chen Yunqi

    Published 2025-01-01
    “…Analyze the main electromechanical equipment and attribute information of the mine, establish a unified equipment object model, and develop equipment sensor monitoring data configuration systems for multiple protocols such as PLC, OPC, and TCP. It has functions such as online visualization configuration of equipment object attribute information, autonomous selection of collection protocols, and adaptive configuration of distributed parsing services. …”
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    Article
  7. 267

    Whey Proteins and Bioactive Peptides: Advances in Production, Selection and Bioactivity Profiling by Anna Luparelli, Daniela Trisciuzzi, William Matteo Schirinzi, Leonardo Caputo, Leonardo Smiriglia, Laura Quintieri, Orazio Nicolotti, Linda Monaci

    Published 2025-05-01
    “…It was originally considered a dairy industry waste, but upon its chemical characterization, it was found to be a precious source of bioactive components, growing in popularity as nutritional and functional food ingredients. …”
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    Article
  8. 268

    Mechanisms and therapeutic implications of selective autophagy in nonalcoholic fatty liver disease by Suwei Jin, Yujia Li, Tianji Xia, Yongguang Liu, Shanshan Zhang, Hongbo Hu, Qi Chang, Mingzhu Yan

    Published 2025-01-01
    “…Aim of review: This review aims to summarize the types, functions, and dynamics of selective autophagy that are of particular importance in the initiation and progression of NAFLD. …”
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    Article
  9. 269

    An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

    Published 2018-01-01
    “…Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.…”
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  10. 270
  11. 271

    The dynamics of sea otter prey selection under population growth and expansion by Clinton B. Leach, Benjamin P. Weitzman, James L. Bodkin, Daniel Esler, George G. Esslinger, Kimberly A. Kloecker, Daniel H. Monson, Jamie N. Womble, Mevin B. Hooten

    Published 2024-12-01
    “…Sea otter populations have been particularly successful in Glacier Bay, Alaska, a protected tidewater glacier fjord with a diverse and productive nearshore habitat. …”
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    Article
  12. 272

    Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

    Published 2025-01-01
    “…Inonotus obliquus is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. …”
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    Article
  13. 273

    A Model for ITSM Software Selection using Fuzzy TOPSIS Approach by Saeed Rouhani, Mohammad Ali Shahhosseini, Ahad Zare Ravasan, Elham Rahmanianfar

    Published 2013-12-01
    “…In order toimplement an ITSM projects successfully in an organization, it isessential to select a suitable ITSM solution. …”
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    Article
  14. 274

    Exploiting TCR Repertoire Analysis to Select Therapeutic TCRs for Cancer Immunotherapy by Ursule M. Demaël, Thunchanok Rirkkrai, Fatma Zehra Okus, Andreas Tiffeau-Mayer, Hans J. Stauss

    Published 2025-08-01
    “…Immune checkpoint inhibition approaches aim to block negative regulatory pathways that limit the function of endogenous T cells, while adoptive cell therapy produces therapeutic T cells with high functionality and defined cancer specificity. …”
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  15. 275
  16. 276

    Hg selective adsorption on polypropylene-based hollow fiber grafted with polyacrylamide by Changkun Liu, Jizhen Jia, Ji’an Liu, Xiaoyan Liang

    Published 2018-02-01
    “…A novel polypropylene hollow fiber membrane with a new function of selective adsorption of mercury ions in aqueous solutions was successfully prepared. …”
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    Article
  17. 277

    Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

    Published 2025-04-01
    “…Regression is a fundamental task in machine learning, and neural networks have been successfully employed in many applications to identify underlying regression patterns. …”
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    Article
  18. 278

    Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

    Published 2025-02-01
    “…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. …”
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  19. 279

    ANTHOCYANIN AS NATURAL COLORANT: A REVIEW by Winda Nurtiana

    Published 2019-11-01
    “…Today, natural colorant is consumer’s selection because it has functional function. One of natural colorant is anthocyanin. …”
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  20. 280

    Using machine learning techniques for DSP software performance prediction at source code level by Weihua Liu, Erh-Wen Hu, Bogong Su, Jian Wang

    Published 2021-01-01
    “…Therefore, we propose a new algorithm called MAX/MIN algorithm to select the best-predicted execution time. To validate the new model, we measure experimentally the execution time of a set of functions selected from PHY DSP Benchmark and run them on TIC64 DSP processor. …”
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