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Showing 1,101 - 1,120 results of 2,814 for search '(( resources selection functions ) OR (( source OR sources) selection functions ))', query time: 0.31s Refine Results
  1. 1101

    Przyswajanie zawczasu niezbędnych umiejętności, czyli o funkcji socjalizacyjno-przygotowawczej dawnych zabawek dziecięcych by Dorota Żołądź-Strzelczyk, Katarzyna Kabacińska-Łuczak

    Published 2022-10-01
    “…Based on the interpretations resting on selected source materials, it can be concluded that the socialization function of the toy was, albeit indirectly, known to many philosophers and pedagogues. …”
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    Article
  2. 1102

    Synthesizing the Academic Administrators’ Competencies: Developing of a Model by Homa Rahmani, Asadollah Khadivi

    Published 2025-03-01
    “…The results of this study offer important insights into the competencies required for university managers and can serve as a valuable resource for universities seeking to improve their selection process for management positions.…”
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    Article
  3. 1103

    Systemic reviews and meta-analysis of the use of midodrine in hepatorenal syndrome by Prem Balaji Reddy Lankapothu, Shrinidhi B., Satish Kumar M., Magesh Kumar S.

    Published 2024-09-01
    “…Data sources. Articles were sourced from Google Scholar and PubMed using inclusion and exclusion criteria. …”
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  4. 1104

    A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

    Published 2025-02-01
    “…A simple yet effective resource allocation model is incorporated to address the potential computational resource waste associated with dual populations, enhancing the resource utilization. …”
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  5. 1105

    Crop pangenomes by A. Yu. Pronozin, M. K. Bragina, E. A. Salina

    Published 2021-03-01
    “…The published genomes of agricultural plants proved to be a valuable tool for studing gene functions and for marker-assisted and genomic selection. …”
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    Article
  6. 1106

    Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm by S. Balamurali, M. Kathirvelu, SatheeshKumar Palanisamy, Ines Hilali Jaghdam

    Published 2025-07-01
    “…NSPL-HCS enhances essential WSN operations, including the creation of cluster, cluster head selection, data compression, data transmission, and data reconstruction. …”
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    Article
  7. 1107

    PROBLEMS OF MUNICIPAL FINANCE MANAGEMENT ON THE EXAMPLE OF THE REPUBLIC OF KARELIA by Lyubov S. Fedotkina, Nikolay V. Levkin

    Published 2024-12-01
    “…Municipal finance management is one of the main functions of local self-government and consists in the distribution of budgetary funds optimally and expediently, observing the targeted use, while increasing the revenue part of the budget. …”
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  8. 1108
  9. 1109

    A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

    Published 2025-06-01
    “…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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    Article
  10. 1110

    Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

    Published 2024-12-01
    “…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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  11. 1111

    Transcranial optogenetic brain modulator for precise bimodal neuromodulation in multiple brain regions by Hyogeun Shin, Min-Ho Nam, Seung Eun Lee, Soo Hyun Yang, Esther Yang, Jin Taek Jung, Hyun Kim, Jiwan Woo, Yakdol Cho, Youngsam Yoon, Il-Joo Cho

    Published 2024-11-01
    “…Abstract Transcranial brain stimulation is a promising technology for safe modulation of brain function without invasive procedures. Recent advances in transcranial optogenetic techniques with external light sources, using upconversion particles and highly sensitive opsins, have shown promise for precise neuromodulation with improved spatial resolution in deeper brain regions. …”
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  12. 1112

    Algorithmic Support of Adaptive Automatic Control Systems with Data Compression by V. V. Alekseev, E. M. Antonyuk, I. E. Varshavskiy

    Published 2020-12-01
    “…The exponential growth of measurement information caused by ongoing complication of technical and production facilities necessitates the development of improved or brand new information and measurement systems, including those performing adaptive automatic control functions. Automatic criteria-based selection and reduction of measurement information continuously supplied by multi-parameter sources characterizing the objects under study require algorithms ensuring reconfiguration of automatic control systems during operation. …”
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  13. 1113
  14. 1114

    MODERN DENTAL ALLOYS: STATUS OF THE ISSUE by V.D. Kindii

    Published 2024-12-01
    “…An analysis of modern available domestic and foreign sources of literature concerning dental alloys, their properties and areas of application was carried out. …”
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  15. 1115

    Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

    Published 2024-09-01
    “…The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. …”
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    Article
  16. 1116

    Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

    Published 2025-03-01
    “…Vernacular cultural resources, though not formally recognized as institutionalized heritage, hold intrinsic developmental capacity. …”
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    Article
  17. 1117

    Single-Port Superluminescent-Diode Gain-Chip for Tunable Single-Wavelength and Dual-Wavelength Blue-Laser by Mahmoud N. Eliwa, Abdullah A. Alatawi, Jorge A. Holguin-Lerma, Omar Alkhazragi, Islam Ashry, Tien Khee Ng, Boon S. Ooi

    Published 2021-01-01
    “…Here, we report on achieving a widely tunable and reconfigurable blue laser source using a single-port gain medium based on an InGaN/GaN superluminescent diode (SLD). …”
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  18. 1118

    YAREN: Humanoid Torso Robot Platform for Research, Social Interaction, and Educational Applications by Daniela Sanchez-Orozco, Rhandall Valdez, Yandri Uchuari, Marcelo Fajardo-Pruna, Luis Cavazos Quero, Redhwan Algabri, Emiliano Quinones Yumbla, Francisco Yumbla

    Published 2025-01-01
    “…Based on our proposed open-source design, YAREN can be expanded to perform diverse interactive functions for social and educational purposes, promoting the research and development of humanoid robots. …”
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  19. 1119
  20. 1120

    Heat treatment control technology of high-strength steel gears based on support vector machine by Yanzhong Wang, Libin Zhang, Yulu Su, Hai Liu, HaiLong Yang, Yanyan Chen

    Published 2025-03-01
    “…At the present stage, the method of multi-parameter multi-level combination test block trial production is often used, but its production cycle is long, and the waste of human and material resources is serious. In this study, with the help of machine learning, a support vector machine prediction model of gear tissue distribution is constructed based on heat treatment parameters, and the radial basis functions kernel function is selected as the kernel function of the support vector machine to improve the accuracy of model prediction by optimizing the kernel parameters. …”
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