Showing 61 - 80 results of 981 for search 'learning (conservation OR construction) (programmes OR programs)', query time: 0.12s Refine Results
  1. 61

    Methodology and content for the design of basketball coach education programs: a systematic review by Josep Alemany-Iturriaga, Josep Alemany-Iturriaga, Josep Alemany-Iturriaga, Julio Calleja-González, Jeisson Mosquera-Maturana, Álvaro Velarde-Sotres, Álvaro Velarde-Sotres, Álvaro Velarde-Sotres

    Published 2025-06-01
    “…Additionally, training should incorporate digital tools and informal learning opportunities, with blended learning emerging as the most effective methodology for this purpose.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/view/CRD420251000058, PROSPERO CRD420251000058…”
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    Article
  2. 62

    The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning by Cunlin Li, Cunlin Li, Shiyu Zhang, Shiyu Zhang, Baojun Yang, Baojun Yang

    Published 2025-01-01
    “…The findings of this study provide crucial insights and valuable guidance for developing national environmental conservation policies and programs.…”
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    Article
  3. 63

    Liquid crystal based programmable active materials by Ruijie Wang, Zihan Lei, Jinghua Jiang, Chenhui Peng

    Published 2025-05-01
    “…Abstract Active materials are of great interest to a broad spectrum of scientists, including those in physics, biology, materials science, engineering, and biomedical engineering. Learning how to control active materials in a programmable manner could open opportunities for designing smart materials and micromachines. …”
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    Article
  4. 64

    Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia by Demoze Wondimu Debero, Ephrem Girma Sinesilassie

    Published 2024-01-01
    “…This study extends the body of knowledge related to construction time performance, and it contributes valuable insights that inform the implementation of machine learning model for construction time prediction.…”
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    Article
  5. 65

    The Effect of Play-Based Learning Program on the Development of Health Culture among Kindergarten Children during the Coronavirus Pandemic by Dilan Kamaran Muhammed Tahir, Seema Ahmed Ali

    Published 2024-04-01
    “…The research tools consist of the construction of pictorial scale of health concepts for kindergarten children, an intelligence test (Johan, 1976), and the construction of a supported learning program through using games. …”
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  6. 66

    The Journey from Past to Present by Larissa Jõgi

    Published 2023-10-01
    “…The focus of this paper is on the development of andragogy as an academic discipline and andragogy programmes at Tallinn University. It also reviews the development of adult education in Estonia and outlines empirical findings from previous research related to the learning experiences and the professional identity of students and graduates of andragogy programmes. …”
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    Article
  7. 67

    Design of Experimental Problem Solving-Based Learning Program to Improve Mental Model and to Enhance Mental-Modeling Ability by S. Supriyatman, A. Suhandi, D. Rusdiana, A. Samsudin, F. C. Wibowo, J. Mansyur

    Published 2018-11-01
    “…Mental model construction is the “core” of meaningful learning and along with MMA (modeling) become a keyword to understand the key concepts in the science learning. …”
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  8. 68
  9. 69

    Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming by Zuo Zhang, Mengwei Zhang, Xiangxiang Song, Zhi Li

    Published 2025-05-01
    “…In this study, we constructed an analytical framework that leveraged road network image recognition, multi-scale influence factors analysis, and predictions using codeless visual programming. …”
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  10. 70
  11. 71

    Peculiarities of the pedagogical situation at the training of bachelors on the direction 08.03.01 «Construction» on the example of discipline of specialization by Nelli I. Taraseeva

    Published 2018-03-01
    “…For the efficient operation of the system “lecturer” – “student” it is necessary to have highly qualified lecturers and modern material and technical equipment for the educational process.The goal of this work is to perform the analysis of the current teaching situation; on the example of the profile discipline to develop a learning algorithm and its implementation in accordance with the laws of the didactics of Bachelors in 08.01.03 construction direction “Highways”.Materials and methods: the methods of research consist in studying the basics of Didactics (learning theory) with positions of interdisciplinary areas of knowledge, such as general theory and graph sys tems, familiarizing with the functioning laws of the learning process, pedagogical technologies of domestic and foreign researchers. …”
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  12. 72

    Learning-Free Unsupervised Extractive Summarization Model by Myeongjun Jang, Pilsung Kang

    Published 2021-01-01
    “…In this study, we propose a model called Learning Free Integer Programming Summarizer (LFIP-SUM), which is an unsupervised extractive summarization model. …”
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  13. 73

    Sentient Intercultural Self-Efficacy: Constructing Intercultural Competence in Health Sciences students by DEBBIE ÁLVAREZ-CRUCES, JUAN MANSILLA-SEPÚLVEDA, ALEJANDRA NOCETTI-DE-LA-BARRA

    Published 2025-04-01
    “…However, the strong influence of validscientific evidence, combined with vicarious learning, causes a setback in achieving the construction. …”
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    Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer by Le Wang, Xi Chen, Lei Song, Hua Zou

    Published 2023-01-01
    “…The prognostic cell death signature (CDS) was constructed with an integrative machine learning procedure, including 10 methods, using TCGA, GSE14764, GSE26193, GSE26712, GSE63885, and GSE140082 datasets. …”
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  16. 76

    Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning by Feng Lu, Yingying Liu, Zhen Chen, Shuning Chen, Weidong Liang, Fuzhou Hua, Maolin Zhong, Lifeng Wang

    Published 2025-07-01
    “…However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingly implicated in SCI pathology. …”
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  17. 77

    Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer by Longpeng Li, Longpeng Li, Jinfeng Zhao, Yaxin Wang, Zhibin Zhang, Wanquan Chen, Jirui Wang, Yue Cai

    Published 2025-01-01
    “…The prognostic signature (PCDRS) were constructed by the best combination of 101 machine learning algorithm combinations, and the C-index of PCDRS was compared with 30 published signatures. …”
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    Article
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