Showing 18,821 - 18,840 results of 21,111 for search 'Data analysis learning', query time: 0.39s Refine Results
  1. 18821

    Developing a structural model of academic self-concept based on emotional regulation and differentiation with the mediating role of achievement goals in students by meheri bostani, abdollah mafakher, Hossein Mahdian

    Published 2025-03-01
    “…The findings indicate that the proposed model is appropriately fit with the data. The results of path analysis showed that 78% of the variance of achievement goals and 67% of the variance of academic self-concept are explained by academic self-concept, emotional regulation, differentiation, and achievement goals. …”
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    Article
  2. 18822

    Interprofessional education in geriatric medicine: towards best practice. A controlled before–after study of medical and nursing students by Sanja Thompson, Kiloran Metcalfe, Katy Boncey, Clair Merriman, Lorna Catherine Flynn, Gaggandeep Singh Alg, Harriet Bothwell, Carol Forde-Johnston, Elizabeth Puffett, Caroline Hardy, Liz Wright, James Beale

    Published 2020-01-01
    “…Students’ expectations, experience, learning points and the influence on the understanding of IP collaboration, as well as their readiness to participate in such education again were investigated.Design A controlled before–after study (2014/2015, 2015/2016) with data collected immediately before and after the intervention period. …”
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    Article
  3. 18823

    Investigating the relationship between human capital and innovation with the mediating role of knowledge sharing and social media networking in iranian creative companies by Hashem Atapour, Afshin Hamdipour, Sahar Safipour

    Published 2024-12-01
    “…Out of the distributed questionnaires, 233 were returned fully completed, enabling a substantial dataset for analysis. The collected data were analyzed using SPSS and SmartPLS software, facilitating both descriptive and path analysis.Findings: The descriptive analysis revealed that the research data adhered to normal distribution parameters. …”
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    Article
  4. 18824

    The value of a combined model based on ultra-radiomics and multi-modal ultrasound in the benign-malignant differentiation of C-TIRADS 4A thyroid nodules: a prospective multicenter... by Shuai Cui, Qifan Liu, Hailong Wang, Husha Li, Wei Li, Chenlong Li, Leilei Bi, Yang Mu, Wenjing Guo, Jundong Yao, Zhoulong Zhang

    Published 2025-05-01
    “…ObjectiveTo establish a combined model based on ultrasound radiomics combined with multimodal ultrasound and evaluate its value in diagnosing benign and malignant nodules classified as Chinese-Thyroid Imaging Report and Data System (C-TIRADS) 4A.MethodsProspective collection of data from 446 patients with thyroid nodules classified as C-TIRADS 4A between December 2023 and August 2024. …”
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    Article
  5. 18825

    Exploring meso- and macro-level contextual factors associated with inequalities in program adoption during statewide scale-up of TransformUs Primary, a whole-school physical activi... by Elly Ganakas, Jo Salmon, Jiani Ma, Karen E. Lamb, Lisa Barnett, Adrian Bauman, Amanda Telford, Nicola D. Ridgers, Anna Timperio, Harriet Koorts

    Published 2025-08-01
    “…Methods Descriptive statistics (number and %) and chi-squared tests were used to assess differences in contextual characteristics between adopting and non-adopting schools (Aim 1). A time-series analysis of daily data was used to explore associations between the number of dissemination events promoting program awareness (e.g., media, newsletters), macro-level policy events (e.g., education department policies), COVID-19-related remote/on-site learning periods, school term dates (i.e., during/outside of school term) and program adoption (i.e., the number of TransformUs Primary registrations per day) (Aim 2). …”
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    Article
  6. 18826

    Dampak Implementasi Pengintegrasian Kurikulum Terhadap Mutu Pembelajaran: Analisis Kasus MTs Sains Karimiyyah Kebasen by Tia Mugi Winasih, Nur Fuadi

    Published 2024-11-01
    “…In this research, a qualitative approach is used, a descriptive type of analysis, which will provide a description of narrative data related to the process of adopting an adaptation model for the integration of the independent curriculum and the Egyptian Al-Azhar curriculum in religious learning activities at MTs Ilmu Al-Karimiyyah Kebasen. …”
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    Article
  7. 18827

    FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things by Nikhil B. Gaikwad, Smith K. Khare, Dinesh Mendhe, Hasan Mir, Sokol Kosta, U. Rajendra Acharya

    Published 2025-01-01
    “…The developed adaptive DNN IP cores with 16-bits require 680 nanoseconds with a power consumption of 309 milliwatts for a single inference with a speed of 1.47 mega samples per second. Our analysis shows that the decentralization of intelligence in the IP core reduces data size from 96.25% to 98.75%. …”
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    Article
  8. 18828

    Implementation of an intervention to scale up coverage of pneumonia management in children younger than 5 years in a north Indian district: protocol for a quasi-experimental, mixed... by Shamim Qazi, Sarmila Mazumder, Naveen Garg, Yasir Bin Nisar, Barsha Gadapani Pathak, Tarun Madhur

    Published 2025-07-01
    “…This implementation study aims to achieve a high population-based coverage of pneumonia treatment for under 5 yearold children in the Palwal district of India.Method and analysis This implementation study uses a quasi-experimental pre-post design and a mixed-methods approach, conducted in three phases: (i) formative research, (ii) model optimisation through iterative testing in a learning block and (iii) scale-up and concurrent evaluation. …”
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  9. 18829
  10. 18830

    Effects of Job Stress on Teachers Productivity in Primary Schools of Katuna Town Council in Kabale District. by Faida, Elias

    Published 2024
    “…Data analysis will involve the use of descriptive analysis involving the use of frequencies, tables, graphs, and pie charts. …”
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    Thesis
  11. 18831

    Work intensification and occupational fatigue on nurses: a cross-sectional and correlational study by Serkan Güngör, Betül Sönmez

    Published 2025-01-01
    “…Conversely, a negative correlation was found with recovery, except for intensified skill-related learning demands. Regression analysis revealed that demographic and occupational characteristics of nurses other than age, work intensification, acute fatigue, and intershift recovery explained 59.8% of chronic fatigue. …”
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    Article
  12. 18832

    Sources of Knowledge Acquisition in the Education System from the Point of View of Excellent Teachers and Employees in the Field of Knowledge Enhancement in Lorestan Province by Ehsan Geraei, Afsaneh Abdoli, Rezvan Shiri

    Published 2024-12-01
    “…This study aims to identify the sources of knowledge acquisition in the education system from the viewpoint of distinguished teachers and employees working in the field of knowledge enhancement in Lorestan Province.Methodology: This applied research adopts a qualitative approach. Data were collected through semi-structured interviews and analyzed using qualitative content analysis. …”
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    Article
  13. 18833

    Closing the artificial intelligence skills gap in construction: competency insights from a systematic review by Lovelin Ifeoma Obi, Innocent Chigozie Osuizugbo, Bankole Osita Awuzie

    Published 2025-09-01
    “…The findings reveal eight core AI skill domains: Data Literacy and Management, AI and Machine Learning Fundamentals, Programming and Computation, Digital Collaboration Tools, AI-Driven Decision Making, Cybersecurity Awareness, Change Management and Adaptability, and Communication and Collaboration. …”
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    Article
  14. 18834

    Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study by Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

    Published 2025-02-01
    “…We used a customized deep learning–based natural language processing (NLP) pipeline to extract clinical information from EHR data, focusing on cognition-related symptoms, primary caregiver relation, and medication usage. …”
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    Article
  15. 18835

    Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation by Qiong Zhou, Rui Wang

    Published 2025-07-01
    “…Additionally, the integration of deep learning algorithms in the context of big data has the potential to enhance our understanding of resistance mechanisms in silico, ultimately aiming to overcome resistance challenges and improve patient survival outcomes.…”
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    Article
  16. 18836

    The influence of science and technology on the foundation phase policies of the BRICS associate countries: A comparative study by Julia Correia, Deon Vos, Louw De Beer

    Published 2025-08-01
    “…Data was gathered from policy documents, curricula and academic literature. …”
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    Article
  17. 18837

    Determinants of employee engagement and job satisfaction in a local municipality by Nkosinathi G. Masuku, Elriza Esterhuyzen, Mpolokeng G. Ramajoe

    Published 2025-06-01
    “…Descriptive and inferential statistical analysis, including a confirmatory factor analysis, were used to analyse the data. …”
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    Article
  18. 18838

    Effectiveness of the P5 Program in the Merdeka Curriculum to Increase the Creativity and Independence of Class V Elementary School Students by Abdul Muin, Siti Maisaroh, Wandri Ramadhan, Jamiu Temitope Sulaimon

    Published 2024-06-01
    “…Quantitative data analysis indicated positive changes in students’ comprehension of Pancasila values. …”
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    Article
  19. 18839
  20. 18840

    Automotive navigation for mobile robots: Comprehensive review by Mayar Abdullah Taleb, Gyula Korsoveczki, Géza Husi

    Published 2025-09-01
    “…This paper will give special attention to algorithms incorporating machine learning and real-time data analysis to manage dynamic obstacles better; also, it will explore the adaptability and scalability of these algorithms in simulated environments of varying complexity and size, preparing them for real-world applicability. …”
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    Article