Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…This study proposes an optimized energy consumption prediction model based on accelerometer sensor data and deep learning techniques. In this study, a model architecture integrating Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (Bi-LSTM) network, and an attention mechanism is constructed, with a focus on optimizing local feature extraction, temporal modeling, and dynamic weight allocation capabilities. …”
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Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

“…Objective: The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. …”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Our objective was to evaluate the sensitivity, specificity, and accuracy of a machine learning (ML) algorithm using publicly available data to predict medical device recalls by the FDA. …”
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COMMUNICATION BARRIERS ENCOUNTERED BY ERASMUS STUDENTS AT THE UNIVERSITY OF ORADEA: CHALLENGES AND ADAPTATION STRATEGIES by Amalia-Ana STURZA, Simona-Veronica ABRUDAN CACIORA

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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. Because of its importance in this field, this survey aims to provide a background for researchers interested in detecting malware in drones, discuss recent approaches, depict a taxonomy of constructing approaches, identify existing problems, and explore trends in future work.…”
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Understanding Primary School Students’ Knowledge and Attitudes Towards Water Management: Insights from Environmental Education by Oana Irimia, Claudia Tomozei, Mirela Panainte-Lehadus, Dana Chitimus, Florin Nedeff, Narcis Barsan, Emilian Mosnegutu, Diana Mirila

“…Interactive and practical educational programs, along with the involvement of parents and the community, enhance learning and create connections between school and daily life. …”
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Rethinking scenario building for sustainable futures: mobilizing conscientização, social learning and knowledge co-production by Danilo Borja, Jan Daněk, Julia C. Assis, Antonella Gorosábel, Carolyn Lundquist, Isabel Rosa, Fabio Rubio Scarano, Nino Tavares Amazonas, Silas C. Principe, Rob Alkemade, Adnan Arshad, Sandra Benavides-Gordillo, Rafael Cavalcanti Lembi, Tássia Rayane Ferreira Chagas, Diana Isabel Clavijo Rojas, Lara Cornejo-Denman, Viviane Dib, Simon Ferrier, Edberto Moura Lima, Luis Filipe Lopes, Matheus Camargo Silva Mancini, Juan Andrés Martínez-Lanfranco, Wladimir Moya, Julia Niemeyer, Unai Pascual, Alice Ramos de Moraes, Mercy Funke Salami, Carla Rivera Rebella, Fábio H. C. Sanches, Priyanka Sarkar, Juliana Siqueira-Gay, Raísa Romênia Silva Vieira, Catalina Zuluaga Rodríguez, Carlos Alfredo Joly, Rafael C. Borges

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Durability prediction of sustainable marine concrete under freeze-thaw cycles using multi-objective machine learning models by Aïssa Rezzoug, Ali H. AlAteah, Sadiq Alinsaif, Sahar A. Mostafa

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Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …”
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Design Educational Bag in Basics of Image Processing by Ghada Tahir Qasim

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Assessing the UNESCO community capacity building initiative: a case study from the historic city of Vigan, Philippines by Wanling Jian

“…The findings and lessons learned provide guidelines for future capacity-building program designs targeting local communities at both World Heritage sites and places of cultural significance.…”
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DEVELOPMENT OF A PROJECT BASED ONLINE LEARNING MODEL TO IMPROVE THE SKILLS AND ABILITIES OF ACTORS FOR STUDENTS by Welly Suryandoko

“…This study describes the development process and feasibility of project-based online learning development to improve actorship abilities and skills for students of the Sendratasik Education Study Program, Faculty of Language and Arts, Surabaya State University. …”
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Psychometric properties of a questionnaire assessing the extent of integration in a problem-based learning curriculum by Marwan F. Abu-Hijleh, Salah Eldin Kassab, Soumaya Allouch, Raja Mahamade Ali, Noor Al-Wattary, Michail Nomikos, Abdel Halim Salem, Mohamed H. Shehata, Reginald P. Sequeira

“…The four factors were: Planned Curriculum (3 items), Delivered Curriculum (10 items), Assessed Curriculum (4 items) and Learned Curriculum (7 items). The factor loadings of the items ranged from 0.61 to 0.84 with strong correlations between the four latent factors (constructs). …”
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European stakeholders’ perspectives on achieving more sustainable wheat cultivation across different pedoclimatic zones by Alicia Morugán-Coronado, Javier Calatrava, Laura Meno, Laura Meno, Flora Alonso-Vega, Flora Alonso-Vega, Eija Pouta, Annika Tienhaara, Stefan Schrader, David-Alexander Bind, Hilde Wustenberghs, Sander Fleerakkers, David Fernández-Calviño, David Fernández-Calviño, María Dolores Gómez-López

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Harnessing machine learning for transmembrane pressure prediction in MBR systems during textile wastewater treatment by Onaira Zahoor, Sher Jamal Khan, Muhammad Usama, Henry J. Tanudjaja, Noreddine Ghaffour, Muhammad Saqib Nawaz

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Applying virtual reality to sail education: an innovative strategy to enhance knowledge learning for student novices by Shan Zhao, Fa Ji, Fa Ji

“…The sail education program consisted of 12 sessions over 6 weeks. Sailing knowledge test was developed from an official manual by American Sailing Association to assess outcomes of learning in overall performance, sailboat structure, sailing skills, and navigation rules. …”
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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

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Using the CIPP Model to elicit perceptions of health professions faculty and students about virtual learning by Sakineh Gerayllo, Mohammadali Vakili, Leila Jouybari, Zahra Moghadam, Ali Jafari, Alireza Heidari

“…No significant difference was observed between professors and students except for the input construct. Students responded significantly differently according to their age and educational level on the product construct, and significantly differently according to their faculty and marital status on each of the CIPP constructs. …”
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Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning by Yuntai Wang, Yuntai Wang, Yilin Li, Lu Zhou, Yihuan Yuan, Chuanfei Liu, Zimeng Zeng, Yuanqi Chen, Qi He, Zhuoze Wu

“…BackgroundAlzheimer’s disease (AD) progression is characterized by persistent neuroinflammation, where pyroptosis—an inflammatory programmed cell death mechanism—has emerged as a key pathological contributor. …”
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Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning by Deyu WANG, Defu ZHU, Biaobiao YU, Chen WANG

“…Support Vector Machine (SVM), Extreme Learning Machine (ELM) and Light Gradient Boosting Machine (LightGBM) were used to construct the model for predicting the strength of gently inclined pillars. …”
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