Showing 381 - 400 results of 6,112 for search 'sampling decision', query time: 0.16s Refine Results
  1. 381

    The relationship of teachers’ ideas about children’s participation with their support of children’s opinions and involvement in decision-making by Liudmila M. Ursulenko

    Published 2024-12-01
    “…To analyze the relationship between the ideas of Russian teachers about children’s participation and the level of their support for children’s opinions and participation in decision-making. Sampling. 42 teachers from 30 preschool groups participated in the study. …”
    Get full text
    Article
  2. 382
  3. 383

    Improper arterial catheter blood sampling method affects hemoglobin test results: A cautionary tale by Jinle Wang, Huihui Jiang, Qingqing Bi, Kegang Tian, Xiaofeng Mu, Lei Zhang

    Published 2025-08-01
    “…Arterial catheter blood sampling is widely used among critically ill patients to minimize repeated punctures; however, improper techniques may lead to misleading laboratory results. …”
    Get full text
    Article
  4. 384

    A comparative analysis in monitoring 24-hour urinary copper in wilson disease: sampling on or off treatment? by Isabelle Mohr, Patrick Lamade, Christophe Weber, Viola Leidner, Sebastian Köhrer, Alexander Olkus, Matthias Lang, Andrea Langel, Patrischia Dankert, Melanie Greibich, Silke Wolf, Holger Zimmer, Patrick Michl, Aurélia Poujois, Karl Heinz Weiss, Uta Merle

    Published 2025-01-01
    “…Conclusion Off-therapy 24 h-UCE reflects the “free” copper pool more accurately than does urinary sampling. The study shows discordant results for both sampling methods in approximately half of the patients, revealing that interpretation of 24 h-UCE with respect to chelator-dosing decisions should be performed with caution.…”
    Get full text
    Article
  5. 385

    Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

    Published 2024-08-01
    “…For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
    Get full text
    Article
  6. 386

    Analysis of Factors Associated with Wus's Decision to Use an IUD in the Working Area of the Maja Public Health Center, Lebak Regency in 2024 by Indah Mulia Herwisdiane, Wayan Aryawati, Fitri Ekasari, Indah Mulia Herwisdiane, Dhiny Easter Yanti

    Published 2024-10-01
    “…The population in the study, namely women of childbearing age in the Maja Health Center Working Area, numbered 9,394 and a sample of 369 people using the cluster random sampling technique . …”
    Get full text
    Article
  7. 387

    A Novel Automated Decision-Making Process for Analysis of Ions and Organic Materials in Drinking Water by Javanbakht T.

    Published 2023-06-01
    “…The optimization results for drinking water samples could be applied in science and engineering based on the concentrations of their ions and organic materials with the automated decision-making process for their distinction from undrinkable water.…”
    Get full text
    Article
  8. 388

    Impact SMM And BL On Purchase Decision For Brand Love K-Pop Treasure Music Albums by Christivany Christivany, Dedi Iskamto

    Published 2024-02-01
    “…The number of research samples was 400 samples using the non-probability sample method. …”
    Get full text
    Article
  9. 389

    Learn to Make Decision with Small Data for Autonomous Driving: Deep Gaussian Process and Feedback Control by Wenqi Fang, Shitian Zhang, Hui Huang, Shaobo Dang, Zhejun Huang, Wenfei Li, Zheng Wang, Tianfu Sun, Huiyun Li

    Published 2020-01-01
    “…There are some learning methods, such as reinforcement learning which automatically learns the decision. However, it usually requires large volume of samples. …”
    Get full text
    Article
  10. 390

    Channel preferences and attitudes of domestic buyers in purchase decision processes of high-value electronic devices by Krisztina Taralik, Tamás Kozák, Zsolt Molnár

    Published 2023-06-01
    “…Contribution & Value Added: Although the sample is not representative, it provides insight into how Hungarian respondents can be segmented based on technological readiness and how this affects their channel preferences during the customer journey through purchase decisions regarding electronic devices.         …”
    Get full text
    Article
  11. 391

    THE USAGE OF METRIC FEATURES IN PREDICTION WITH DECISION TREES DEMONSTRATED ON THE TASK OF FOREST COVER TYPE CLASSIFICATION by Victor V. Kitov

    Published 2017-09-01
    “…Methods of classification by nature of decision-making divide on methods using global optimization (all training samples are used), and local optimization (only samples in the neighbourhood of the studied object are used). …”
    Get full text
    Article
  12. 392

    Decision-making in wildlife forensics: comparing complex and simple cases at the Wyoming Game and Fish Laboratory by Kimberly M. Frazier, Tasha L. Bauman

    Published 2025-03-01
    “…Both cases highlight several decision making points throughout to determine the number of samples to collect, if the samples contain biological material, the extraction methods to be used, and how to proceed with downstream analyses. …”
    Get full text
    Article
  13. 393

    A Decısıon Model Based on Artıfıcıal Intellıgence for Dısease Predıctıon And Patıent Treatment Process Plannıng by Serkan Derici, Nuri Özgür Doğan

    Published 2025-08-01
    “… Purpose: The aim of this study is to determine which patients are at risk of lung cancer with a sample of 1000 people living in China and a data set consisting of 20 variables. …”
    Get full text
    Article
  14. 394

    The application of financing and dividend decision techniques in practice among Ghanaian chief financial officers (CFOs) by Anthony Owusu-Ansah, Nene Lartey Addico, Godfred Amewu

    Published 2023-12-01
    “…We use a survey approach to investigate how managers in a frontier market apply financing and dividend decision techniques in practice. 15 firm characteristics were grouped into paired subgroups for a two-sample t-test analysis that generated statistical differences, economic significance levels and ranking for each technique investigated. …”
    Get full text
    Article
  15. 395

    People’s knowledge of and attitudes toward abortion laws before and after the Dobbs v. Jackson decision by Kristen N. Jozkowski, Xiana Bueno, Ronna C. Turner, Brandon L. Crawford, Wen-Juo Lo

    Published 2023-12-01
    “…Nearly half of that sample (42.2%) completed the survey prior to the decision announcement. …”
    Get full text
    Article
  16. 396
  17. 397

    Clinical decision support for pharmacologic management of treatment-resistant depression with augmented large language models by Roy H. Perlis, Pilar F. Verhaak, Joseph Goldberg, Cristina Cusin, Michael Ostacher, Gin S. Malhi, Carlos A. Zarate, Richard C. Shelton, Dan V. Iosifescu, Mauricio Tohen, Manish Kumar Jha, Martha Sajatovic, Michael Berk

    Published 2025-12-01
    “…Model output was compared to expert rankings, as well as to those of a convenience sample of community clinicians and an additional group of expert clinicians. …”
    Get full text
    Article
  18. 398

    Applications of Decomposed Theory of Planned Behaviour in Making Decision to Adopt a Career in Social Entrepreneurship by Lucia DURAC, Liliana Mihaela MOGA

    Published 2023-05-01
    “…The research compares the determinants that underlie the decision to launch a social enterprise based on a comprehensive sample of 142 Romanian social entrepreneurs and their evaluations of social entrepreneurial career intentions. …”
    Get full text
    Article
  19. 399
  20. 400

    An approach for crop recommendation with uncertainty quantification based on machine learning for sustainable agricultural decision-making by Md. Sakib Bin Alam, Vatcharaporn Esichaikul, Aiman Lameesa, Shams Forruque Ahmed, Amir H. Gandomi

    Published 2025-06-01
    “…This raises concerns about the reliability of the decision support systems for crop recommendation. To address this, we propose an ensemble ML framework incorporating entropy-based uncertainty quantification. …”
    Get full text
    Article