Designing a model of academic adjustment based on educational engagement, the mediatory role of academic buoyancy in students of secondary school in Yazd province by Pouya Heydari, Alireza Manzari Tavakoli, Hamdollah Manzari Tavakoli, Amanallah Soltani

“…Methods: The method of the present research was applied in terms of purpose and correlational in terms of the nature of the data. …”
Get full text

La crisi en l’experiència educativa / La crise de l’expérience éducative La crisis en la experiencia educativa Crisis as part of the educational experience by Anna Gómez i Mundó

“…<br>In a concept of education that seeks crisis to promote growth as human beings, this paper sets out the aspects that, according to the author, tie the educational experience to the present reality in which they exist. We describe the composition of a quasi-discourse that tries to capture the crisis needed for learning. …”
Get full text

Aquatic Education for School Children: An Educational Expert Statement from the Nordic Consortium by Monika Haga, Arja Sääkslahti, Katarina Schenker, Tine Hedegaard Bruun, Julie Dalgaard Guldager, Þórdís Lilja Gísladóttir, Bára Berghamar Danielsen, Egil Galaaen Gjølme, Jon Sundan, Helgi Winther Olsen, Øyvind Bjerke

“…It also draws on a 2 1/2-day workshop where research and developmental activities and best practices in children’s aquatic education were presented and discussed. The data for this position statement were generated through presentations, discussions and comparisons of documents, and were analyzed using Eggebø’s (2020) collective qualitative analysis procedure. …”
Get full text

Multimodal artificial intelligence for subepithelial lesion classification and characterization: a multicenter comparative study (with video) by Jiao Li, Xiaojuan Jing, Qin Zhang, Xiaoxiang Wang, Li Wang, Jing Shan, Zhengkui Zhou, Lin Fan, Xun Gong, Xiaobin Sun, Song He

“…Abstract Background Subepithelial lesions (SELs) present significant diagnostic challenges in gastrointestinal endoscopy, particularly in differentiating malignant types, such as gastrointestinal stromal tumors (GISTs) and neuroendocrine tumors, from benign types like leiomyomas. …”
Get full text

Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environmentZenodo by Eliott Lumet, Thomas Jaravel, Mélanie C. Rochoux

“…Secondly, PPMLES reference data can be used to benchmark models of different levels of complexity, and to extract key information about the physical processes involved to inform more operational modeling approaches, for example through learning surrogate models.…”
Get full text

Coupled dopamine and insulin signaling mediated transgenerational and multigenerational inheritance of adaptive traits in Caenorhabditis elegans upon parental training with Salmone... by Bynedi Seshadhri Chinna Mounish, Balasubramanian Chellammal Muthubharathi, Thirumugam Gowripriya, Koilmani Emmanuvel Rajan, Krishnaswamy Balamurugan

“…Typhi. Taken together, the present study indicates that S. Typhi infection could generate transgenerational heritable dopaminergic modulations, which could possibly be the key signaling player in determining the decision-making ability of the host and also generate adaptive survival response, which could be mediated by the insulin-signaling pathway.IMPORTANCEAdaptation is a phenomenon by which an organism learns and develops a mechanism to respond to dynamic and challenging conditions. …”
Get full text

Bayesian adaptation in Poisson cognitive systems by Aleksander A. Solodov

“…One assumption about the Poisson nature of the events occurring at the input of the system was sufficient.The results of a computational experiment on the adaptive estimation of a random parameter with an unknown a priori distribution are presented.In conclusion it is noted that the further development of the study can be a detailed formulation of the mathematical properties of the elements of the cognitive system mentioned in the definition, formulation, solution and interpretation of new mathematical problems of analysis and synthesis.…”
Get full text

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study by Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

“…ObjectiveWe leveraged an ensemble machine learning method (light gradient boosting machine) to detect depressive symptoms entirely through passive sensing. …”
Get full text

Level Characteristics of Foreign Language Communicative Competence Development of Students for Technical Specialties by Anastasiia Ptushka

“…Research methods are the analysis and summarization of relevant scientific materials for the purpose of collecting and presenting results, as well as coming to the conclusions. …”
Get full text

Validación de un cuestionario para medir el Conocimiento Didáctico del Contenido en el profesorado de Educación Física (Validation of a questionnaire to measure Didactic Knowledge... by Alejandro Almonacid-Fierro, Sebastian Feu, Manuel Vizuete Carrizosa

“…The experts’ panel results indicate that the items present Aiken’s V values superior to .83. The exploratory factorial analysis suggested a seven-factor structure with a Cronbach’s Alpha of .90 for each subscale, and of .75 for the total scale. …”
Get full text

Transdisciplinary approach as a resource to develop student metacognitive skills in studying physical and engineering disciplines by A. B. Iskakova, K. A. Nurumzhanova

“…Introduction. The article presents the results of a study of the actual problem in applying a transdisciplinary approach as a modern educational resource that contributes to improving the efficiency and productivity of students’ learning outcomes based on increasing their cognitive activity, due to the purpose of forming metacognitive skills in the educational process.Aim. …”
Get full text

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis by Janne Kauttonen, Rebekah Rousi, Ari Alamäki

“…MethodsWe collected and analyzed web-based survey data from 1100 Finnish participants, presenting them with 8 AI use cases in health care: 5 (62%) noninvasive applications (eg, activity monitoring and mental health support) and 3 (38%) physical interventions (eg, AI-controlled robotic surgery). …”
Get full text

Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

“…Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, such as clinical notes, presents an opportunity to enhance predictive models for assessing emergency severity and to explore associations between patient characteristics and severity outcomes. …”
Get full text

Understanding mushroom farm environment using TinyML-based monitoring devices by Segun Adebayo, Halleluyah Oluwatobi Aworinde, Oluranti Olayinka Olufemi, Christian Okechukwu Osueke, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba

“…A Smart Environmental Monitoring System for Mushroom Farms is presented in this paper that makes use of advanced Tiny Machine Learning (TinyML) and Internet of Things (IoT) technologies for evaluating and controlling key parameters that impact the growth of mushrooms. …”
Get full text

Development of over 30-years of high spatiotemporal resolution air pollution models and surfaces for California by Jason G. Su, Eahsan Shahriary, Emma Sage, John Jacobsen, Katherine Park, Arash Mohegh

“…These machine learning LUR algorithms integrated comprehensive data sources, including traffic, land use, land cover, meteorological conditions, vegetation dynamics, and satellite data. …”
Get full text

THE MORAL AND ETHICAL POTENTIAL OF A FUTURE TEACHER’S PERSONALITY – THE FOUNDATION FOR THE PRODUCTIVITY OF THEIR PROFESSIONAL TRAINING by Krasiuk Iryna

“…The effectiveness of active forms and methods of forming the professional-moral orientation of future teachers has been confirmed, including discussions, ethical conversations, debates, and presentations, as well as technologies of personalityoriented learning, cooperation technologies, and creativity development (SCAMPER). …”
Get full text

A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment by S Jayanthi, Sodagudi Suhasini, N. Sharmili, E. Laxmi Lydia, V. Shwetha, Bibhuti Bhusan Dash, Mrinal Bachute

“…So, improving an intrusion detection system (IDS) for attack identification and detection using the IoHT method is fundamentally necessary. Deep learning (DL) has recently been applied in attack detection because it can remove and learn deeper features of known attacks and identify unknown attacks by analyzing network traffic for anomalous patterns. …”
Get full text

Educational potential of Russian senior citizens by Т. I. Kasyanova, L. I. Voronina, T. M. Rezer

“…The greatest objections were judgments that senior people were the brake of innovation (71.6%) and incapable of learning (77.1%). The respondents approved the planned measures to provide them with opportunities for additional education and more than half of respondents demonstrated readiness to receive education in various forms: at universities for people of the third aged, in retraining institutions, in courses of advanced training, etc. …”
Get full text

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

“…To assist medical personnel in intensive care units (ICU), we present the design of a network edge gateway that performs resource-efficient, real-time data analytics. …”
Get full text

Global research trends and hotspots in prognostic prediction models for pancreatic cancer: a bibliometric analysis by Siyuan Ouyang, Jing Zhang, Fuyao Liu, Qi Jiang, Wei Xing, Jie Chen, Jinggang Zhang

“…Most cases are diagnosed at advanced stages, complicating surgical resection and presenting significant challenges for clinical treatment. …”
Get full text