Artificial Intelligence in Nursing Education: A Cross-sectional UTAUT Analysis Study by Latifah H Alenazi

“…Materials and Methods: A cross-sectional study was conducted at one of the oldest and most prominent universities, collecting data from April to May 2022. …”
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Analysis of Learner Types According to Self-Efficacy and Team-Member Exchange: Using K-means Clustering by Mi-Jin Ra, Min-Jung Jin

“…Methods: A convenience sample of undergraduate students from an aviation service department was recruited, yielding 65 valid responses. …”

External validation of a serum tumor marker algorithm for early prediction of no durable benefit to immunotherapy in metastastic non-small cell lung carcinoma by Milou M. F. Schuurbiers, Freek A. van Delft, Hendrik Koffijberg, Maarten J. IJzerman, Kim Monkhorst, Marjolijn J. L. Ligtenberg, Daan van den Broek, Huub H. van Rossum, Michel M. van den Heuvel

“…As previously shown, the STOP model, a machine learning model based on serum tumor markers, is capable of identifying non-responders after 6 weeks of ICIs. …”
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Optimising standard setting in medical education: The critical role of the assessment committee by Zaw Phyo, Titi Savitri Prihatiningsih, Ye Phyo Aung, Tun Tun Naing

“…They all appreciate the integration of standard setting in the outcome-based curriculum, recognising its positive impact on student quality and accreditation standards. …”
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Association between composite dietary antioxidant index and cognitive function impairment in the elderly: evidence from NHANES 2011–2014 by Yingying Qian, Qiang Liu, Tianlang Li

“…ObjectiveAntioxidant-rich diets are posited as protective factors against cognitive function impairment. …”
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Teachers’ pedagogical improvement who participate in the training and specialization of doctors in Venezuela by Felicia Pérez Moya, Nilzer Agramonte Vargas, Silvia Enríquez Vilaplana, Maribel Torres Cobas

“…<br /><strong>Methods:</strong> a descriptive, pedagogical research was carried out. …”
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Low-cost, synthetic model for training and simulation of open and semi-open rhinoplasty by Arthur Antunes Coimbra Pinheiro Pacífico, Bárbara Matos de Carvalho Borges, Anna Letícia Silveira Parnaíba, Marco Antônio de Lucena Furtado, Samy Lima Carneiro, Mateus Pinheiro Fernandes Feitosa Arrais, Davi Sousa Garcia

“…The exposed model can positively impact the learning process of rhinoplasty, revealing itself as an accessible and helpful tool for training in various stages of the technique of this complex surgery.…”
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Enhancing Cognitive Function through Physical Education: The Impact of Physical Education Activity on Attention and Focus by Matteo Giuriato, Nicola Lovecchio

“…The aim is to evaluate whether increasing physical education hours, with an emphasis on cognitive tasks and team-based activities, could positively influence students' executive functions. …”
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Examining the Efficacy of Post-Primary Nutritional Education Interventions as a Preventative Measure for Diet-Related Diseases: A Scoping Review by Kevin Mullaney, Louise Mylotte, Amanda McCloat

“…In total, 50 studies were selected for analysis, which were then further categorised into five key intervention approaches: knowledge and behaviour-focused programmes, DRD-specific interventions, gamified or interactive learning methods, peer-led or externally facilitated programmes, and school food environment modifications. …”
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Teaching Procedural Skills: Integrating Educational Theory Into Practice by Christopher J. Smith, Cory Rohlfsen, Jana Wardian, Khalid Sahak

“…Learner reactions (Kirkpatrick level 1) were assessed via course evaluation. Learning and behavior (Kirkpatrick level 2) were evaluated via attitudinal and knowledge-based questions. …”
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الثقافة المعلوماتیة لطلاب مدارس المتفوقین فى العلوم والتکنولوجیا Stem فى مصر ودور النظام التعلمی بتلک المدارس فى تعزیزها : دراسة میدانیة... by د. اشرف البسیونى مصطفى رداد

“…The aim of this study is to explore the level of informatics culture andresearch capabilities of STEM students in Egypt and to clarify the role of theeducational system in promoting informatics culture. The study was based ondescriptive analytical method. The questionnaire was used as a main tool for datacollection. …”
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FEATURES OF THE FOREIGN LANGUAGES TEACHERS AND LECTURERS TRAINING IN US HIGHER EDUCATION INSTITUTIONS by Zinukova Nataliia, Korobeinikova Tetiana, Perevorska Olena

“…It is argued that the process of modernization of professional language education in the USA takes place according to the principles of variability and pluralism, and this is what determines the spread of mixed methods of foreign language learning, where traditional and innovative methods are combined. …”
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Prediction of Chlorophyll-a Concentration Distribution Using Generative Adversarial Network (GAN) Algorithm on Processed Remote Sensing Images by Wattaqwa Amira Zul’Ilmi, Jaya Indra, Iqbal Muhammad

“…The “Ocean Color” remote sensing technique for estimating chlorophyll-a concentration as a parameter of the water quality has several weaknesses, such as cloud obstruction, water depth, and wave reflections that obscure the image. Therefore, deep learning methods with Generative Adversarial Network (GAN), especially Pix2PixHD can be an alternative for predicting chlorophyll-a distribution. …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

“…The results indicate that this model offers superior performance in learning attack patterns, enhancing detection accuracy, and reducing false positives. …”
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Prediction of Lubrication Performance of Hyaluronic Acid Aqueous Solutions Using a Bayesian-Optimized BP Network by Xia Li, Feng Guo

“…This framework can be used as a screening tool for HA-based lubricants. The integration of machine learning with biotribology may offer opportunities to improve data-driven approaches to analyzing complex fluid behavior, where traditional models have limitations.…”
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Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks by Yu Qian, Wang Sizhe, Tao Yixin

“…Overall, this research highlights the power of graph-based deep learning approaches for anti-money laundering (AML) applications, demonstrating how structural and relational dependencies within financial networks can be leveraged to enhance detection accuracy.…”
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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

“…Sentiment classification using a BERT model achieved 91% accuracy for positive and negative classes. Relationships between Twitter-obtained features and BIST indices were analyzed using machine learning methods such as linear regression, Lasso regression, random forest, and XGBoost. …”
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Effectiveness of virtual reality application technology for mathematical creativity by Flavia Aurelia Hidajat

“…Ninety-six students followed learning-based VR in mathematics education in Jakarta, Indonesia. …”
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ANALYSIS OF THE READINESS OF A SECONDARY SCHOOL FOR THE SYSTEMATIC APPLICATION OF A HUMOROUS APPROACH by Vladislav A. Dokuchaev

“…They can be used to update the educational system, introduce new approaches to learning based on the active use of pedagogical communication.…”
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Assessment of computer and statistical literacy levels among medical students by N. Yu. Dmitrieva

“…Assessing the level of statistical literacy of medical students in the context of the transition from clinical medicine to evidence-based medicine and the increased need for doctors who can correctly interpret data presented in various scientific sources and conduct their own research.Materials and methods. …”
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