Role of Early Clinical Exposure in Medical Education: Effectiveness of Its Transition from Onsite to Online Sessions during the Pandemic by Shobha C Ramachandra, Swetha N Kempegowda, Kusuma K Shivashankar, Abhijith Devaraju, Suma M Nataraj, Akila Prashant

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Causal association of obesity-related anthropometric traits with myopia and the mediating role of educational attainment: a Mendelian randomization study by Yi Lu, Can-Can Zhang, Run-Ting Ma, Yuan-Jing Li, Wen-Ping Li, Die-Wen-Jie Hu, Lian-Hong Zhou

“…As a supplement to previous observational studies, it provides strong evidence for the relationship between anthropometric traits and refractive errors and offers a theoretical basis for future measures to prevent and control myopia.…”
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Réhabiliter l’Homme avec la technologie by Stéphane Simonian

“…It this article, we puprose a "unifying" approach to the relationship between man and technology considering technology as a way to ennoble the human in that it has more specific (to interpret, understand, remedy of error, etc.), to release certain functional requirements to enable it being to the world and in the world. …”
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The medical student stressor questionnaire (MSSQ): validation and reliability in Turkish students by Funda Seher Özalp Ateş, Elif Akçay, Derya Gökmen, Süheyla Rahman

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Usability Evaluation of a Board Game for Learning Robotics of Care by Blanca Gonzalo-de Diego, Alexandra González-Aguña, Marta Fernández-Batalla, Enrique Monsalvo-San Macario, Andrea Sierra-Ortega, Roberto Barchino-Plata, María Lourdes Jiménez-Rodríguez, José María Santamaría-García

“…Over 90% found the instructions clear and error-free. RobotCareMaker^® allows teachers, professionals, and nursing students to integrate curricular competencies in novel topics such as care robotics. …”
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Multilingual competency and academic performance: a machine learning-based analysis of the 2022/2023 Somaliland national primary exam data by Jibril Abdikadir Ali, Mustafe Khadar Abdi, Tawakal Abdi Ali, Abdisalan Hassan Muse, Mukhtar Abdi Omar, Mukhtaar Axmed Cumar

“…Models were evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Squared Percentage Error (RMSPE), Root Mean Squared Logarithmic Error (RMSLE), and Relative Root Squared Error (RRSE) to assess predictive accuracy. …”
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QUALITY ANALYSIS OF PRACTICAL TRAINING IN VOCATIONAL AND TECHNICAL EDUCATION. CASE STUDY: ILFOV COUNTY, ROMANIA, ACADEMIC YEAR 2022-2023 by Florin Cristian CIOBĂNICĂ

“…The present research utilized an indirect survey through a questionnaire, as the advantages of this opinion-sampling tool include allowing subjects to think thoroughly before responding, reducing the disruptive influence of the surveyor, and minimizing errors in data recording and interpretation. The questionnaire was addressed to students in vocational and technical education with the aim of determining to what extent the respondents are satisfied with the practical training courses completed in the 2022-2023 school year. …”
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Visualization Analysis of Integrating College Sports Training and Psychology into Basketball Physical Education Teaching System Based on Image Recognition Algorithm by Junzhang Cheng, Lingtao Wen, Baolei Zhang

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Evaluating the role of AI-simulated patients compared with peer-to-peer learning models in the enhancement of medical education: is it beyond theoretical functionality? by Pegin Poulose

“…Introduction: This research study evaluated the effectiveness of utilising patients simulated through artificial intelligence (AI) for medical education, and the role of AI as a learning tool compared with traditional peer-to-peer formats. …”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…The model also shows superior reliability with an MCC of 0.923 and an AUC of 0.978. Low error rates, including MAE (0.11), MSE (0.05), and RMSE (0.22), highlight its accuracy and predictive precision. …”
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Fostering Nationalism among University Students in Indonesia: A Communal Perspective by Endang Purwaningsih, Blackson Kanukisya

“…The research seeks to understand how globalization influences nationalist sentiments, particularly in the context of the Indonesian educational system. The chosen methodology centers around implementing a Civic Education learning model, aiming to activate and enhance nationalism values among students. …”
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Gramática y producción textual: bases lingüísticas para la intervención didáctica | Grammar and Textual production: Linguistic Bases for Educational Intervention by Francisco Javier Perea Siller

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Trend Analysis and Prediction of Violence Against Women and Children Cases in Jakarta Based on the Victim’s Education Level Using ARIMA and SARIMA Method by Zaqi Kurniawan, Rizka Tiaharyadini, Arief Wibowo, Rusdah

“…Key variables included in the dataset are the data period, education level, and total number of victims Using three performance indicators—MAE (Mean Absolute Error), MAPE (Mean Absolute Percentage Error), and RMSE (Root Mean Square Error)—to assess model accuracy the ARIMA model performed better than the SARIMA model. …”
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Enhancing junior doctor confidence and competence in UGIB management: a three-cycle QIP using education, prescribing protocols and care bundles by Mareen Zachariah, Natalie Chan-Lam

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From classroom to clinic: evaluating a clinical pathology course to strengthen pathology report literacy of medical interns by Fariba Abbasi, Parvin Ayremlu, Zahra Niazkhani

“…This research offers valuable insights into improving medical education.…”
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Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study by Malik Mamoon Munir, Nabil Ahmed

“…The health care sector in Pakistan has not yet used social media effectively to raise awareness and provide education about diseases. Research on the impact social media can have on health care education in Pakistan may expand current efforts, engage a wider audience, and reduce the disease burden on health care facilities. …”
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The effectiveness of the educational package of happiness skills based on Islamic approach and comparison with Fordyce's happiness package on happiness, life satisfaction and anger... by Tayebe Vahdani Khorram, Fatemeh Fayyaz, j avad Eynypour

“…Table 1 shows the results of variance analysis with repeated measurementsTable 1Variance Analysis with Repeated Measurements to Investigate the Change of The Happiness Anger Control, The Life Satisfaction Variable in The Islamic Happiness Education Program Statistical power Effect SizeSig.Fmean of the squaresDegree of freedomSum of squares Effect sourceVariables0.980.490.000116.315725.2031.1444829.499Time  Happiness  0.430.1620.0813.27414.5491.144166.481Time*Group    44.4519.445864.326Error0.0630.0070.7280.12567.626167.626Group    541.355179203.041Error (group)0.9990.55 20.761569.1231.42810.387Time  Anger Control0.4440.147 2.94180.621.42114.808Time*Group    27.41324.207663.578Error0.2750.109 2.077318.3791318.379Group    153.286172605.867Error (group)0.4130.7120.000141.926116.5622233.123Time  Life satisfaction 0.1130.132.171116.562212.071Time*Group    6.0353494.526Error0.1920.0720.2661.3212.781231.598Group    175.351172980.963Time*p< 0/05According to the significant value obtained, the main effect of time has become significant for the variables of happiness, anger, and life satisfaction. …”
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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

“…Results indicate that XGBoost outperformed all other models, achieving the highest cross-validated accuracy (90.66 %), F1 Score (90.72), and one of the lowest error values (Mean Square Error (MSE) = 9.34, Log Loss = 0.26). …”
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Implicit theory of personality as a prerequisite for pedagogical intuitions development by Yulia M. Garipova

“…Since the sample was not large, the author of this article does not deny the possible error in the results of the study. However, it should be noted that the sample of the study will be increased several times to confirm the results obtained.As a result of the study, significant results were obtained on two scales of the questionnaire of implicit theories and learning objectives by C. …”
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From Data to Decisions based on AI-Driven Insights: Intelligent Evaluation of English Translation Pedagogy in Higher Education under Interval Complex Neutrosophic Set by Hongmiao Yuan

“…In the wake of rapid technological advancements, higher education institutions are increasingly exploring artificial intelligence (AI) for enhanced language pedagogy. …”
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