Showing 181 - 200 results of 1,803 for search 'Evaluation Group for Analysis of Data', query time: 0.18s Refine Results
  1. 181

    Phenotypic Characterization, Evaluation, and Classification of Cassava (Manihot esculenta Crantz) Accessions in Ethiopia by Berhanu Bilate Daemo, Derbew Belew Yohannes, Tewodros Mulualem Beyene, Wosene Gebreselassie Abtew

    Published 2023-01-01
    “…In conclusion, the various analyses performed indicated the existence of sufficient genetic variability for the characteristics evaluated, which could be attributed to the dissimilar genetic backgrounds of the evaluated accessions. …”
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    Article
  2. 182
  3. 183

    Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance by Jianyou Zhao, Jing Liu, Liping Yang, Ping He

    Published 2018-01-01
    “…The analysis results demonstrated that the correlation coefficients of the three groups of data were greater than 0.5 and that each subjective evaluation was significantly correlated with its corresponding objective metric. …”
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    Article
  4. 184
  5. 185

    Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma by Miaodong Wang, Qin He, Zeshan Chen, Yijue Qin

    Published 2025-01-01
    “…We synthesized the multiomics data of patients with STAD using 10 clustering methods, construct a consensus machine learning-driven signature (CMLS)-related prognostic models by combining 10 machine learning methods, and evaluated the prognosis models using the C-index. …”
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    Article
  6. 186

    Evaluating the impact of an electronic support system on clinical productivity and student satisfaction in dental education by Shaimaa Al Harthi

    Published 2024-12-01
    “…Materials and Methods: The system was implemented for the 2022–2023 academic year (test group), and the data were compared to the previous year data (control group). …”
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    Article
  7. 187

    Evaluation of the digital diabetes prevention programme pilot: uncontrolled mixed-methods study protocol by William Henley, Elizabeth Murray, Kerry Daff, Anthi Lavida, Jenny Irwin, Jonathan Valabhji

    Published 2019-05-01
    “…Qualitative data will be analysed using framework analysis, with data pertaining to implementation mapped onto the CFIR.Ethics and dissemination The study has received ethical approval from the Public Health England Ethics and Research Governance Group (reference R&D 324). …”
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    Article
  8. 188

    Evaluation of Urinary Tract Infection following Corticosteroid Therapy in Patients with Multiple Sclerosis Exacerbation by Aliyeh Bazi, Seyed Mohammad Baghbanian, Monireh Ghazaeian, Sahar Fallah, Narjes Hendoiee

    Published 2021-01-01
    “…Demographic data, duration of multiple sclerosis, urinary tract symptoms, the Expanded Disability Status Scale (EDSS) score, and urine data were analyzed. …”
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  9. 189
  10. 190

    Corneal nerve abnormalities in early-stage diabetic retinopathy evaluated by corneal confocal microscopy by Yi Zhou, Xiangchen Li, Suhan Shi, Ziwei Guo, Beibei Shan, Linlin Xu, Yixiao Li, Jianxin Guo

    Published 2025-01-01
    “…Spearman rank correlation or Pearson correlation analyses were used to evaluate the relationships. Results Compared to the control group, all parameters of corneal nerves in the case group were significantly reduced (all P < 0.001). …”
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  14. 194

    Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology by Hongjian Wang

    Published 2023-01-01
    “…This article first uses a real-time embedded system to understand the basic process of project investment and select 10 investment experts for risk assessment, risks, and causes of the risks through literature research and case analysis. Then, this paper establishes a model of fuzzy comprehensive evaluation of project investment risk through computer vision technology, real-time embedded systems, and neural network models in big data and artificial intelligence technology to realize the analysis and prediction of project investment risk. …”
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    Article
  15. 195

    ‘Underestimation of fall risks by older adults: The need for professional evaluation to identify home hazards’ by E.Y Ishigaki, A.S Passos, L.E.G Leme

    Published 2025-03-01
    “…A test-retest analysis was also conducted with 30 participants. Results: Results showed that older adults identified an average of 5.1 risk factors, whereas healthcare professionals identified 12.6 on average, indicating low to moderate agreement between the two groups. …”
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  16. 196

    Optimization, Characterisation and Evaluation of Biochar Obtained from Biomass of Invasive Weed Crotalaria burhia by Loveena Gaur and Poonam Poonia

    Published 2024-12-01
    “…The elemental analysis shows major concentrations of carbon, hydrogen, and oxygen as 57.77%, 6.123%, and 27.60%, respectively. …”
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    Perceptions and Motivations of Japanese Medical Students Regarding Course Evaluations: A Cultural Perspective by Suzuki S, Imafuku R, Kawakami C, Abe Y, Jego EH, Hidai C, Saiki T

    Published 2025-02-01
    “…The recorded discussion data were analyzed using a thematic analysis approach by applying Hofstede’s model of six cultural dimensions as a theoretical framework.Results: This study identified three main themes influencing student participation in course evaluations: their emotions, insufficient understanding of the evaluations’ significance, and logistics impacting student motivation. …”
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  19. 199

    Enhancing Preschool Language Acquisition Through Robotic Assistants: An Evaluation of Effectiveness, Engagement, and Acceptance by Santiago Berrezueta-Guzman, Maria Dolon-Poza

    Published 2025-01-01
    “…Results revealed that children interacting with the robot learned 23% more words than those taught through traditional methods, particularly in the early months of exposure. The data analysis, comprising quantitative evaluations of vocabulary learning and qualitative surveys of parents and teachers, highlighted increased engagement, ease of classroom integration, and strong acceptance of the robot. …”
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