A Combined PSO-LSTM Prediction Model for Dam Deformation by HAO Ze-jia, SHI Yu-qun, CHENG Bo-chao, HE Jin-ping

“…The specific methods included: constructing environmental variable factors based on the interaction mechanism between dam deformation and environmental variables; inputting deformation training sets to determine the range of hyperparameters to be optimized and training the network hyperparameters using the LSTM model; setting the particle position information as the hyperparameters to be optimized and using the PSO algorithm to optimize the LSTM hyperparameters; and outputting dam deformation predicted values at different prediction time points using the parameters obtained from training. …”
Get full text

What Competences Does the Regional Market of IT Specialists Want? Development and Approbation of Technology for Analysis of Current Vacancies in the Labor Market by A. E. Shukhman, L. S. Grishina, L. L. Legashev, D. I. Parfenov

“…The study is aimed at development and approbation of the technology for analysis of current vacancies for IT specialists for further designing the content of additional vocational educational programs. Modern machine learning techniques such as Natural Language Processing can be used for automatic position selection based on skills in vacancies. …”
Get full text

Cooperativity among short amyloid stretches in long amyloidogenic sequences. by Lele Hu, Weiren Cui, Zhisong He, Xiaohe Shi, Kaiyan Feng, Buyong Ma, Yu-Dong Cai

“…In this study, we combined machine learning and structure-based energy evaluation to examine and predict amyloidogenic segments. …”
Get full text

Predicting the thickness of alpine meadow soil on headwater hillslopes of the Qinghai-Tibet Plateau by Xiaole Han, Jintao Liu, Pengfei Wu, Zhenghong Yu, Xiao Qiao, Hai Yang

“…Using a linear mixed-effects model, we quantified uncertainty through within-site and between-site variance analysis, and compared the performance of deep learning (DL) with three traditional machine learning methods—random forest (RF), support vector machine (SVM), and artificial neural networks (ANN)—under three variable selection strategies: (1) all variables, (2) stepwise selection, and (3) a novel Boruta-based recursive method. …”
Get full text

What kind of matching groups makes students benefit more? The role of reviewer expertise and document quality within-groups by Zheng Zong, Christian D. Schunn

“…In addition, educators and researchers should consider the roles of both providing and receiving feedback based on the ability of matching groups. Future research could use questionnaires or experimental methods to examine student motivation and further determine the causal relationship between the relative benefits/risks of different matching groups on learning outcomes.…”
Get full text

Enhancing Preschool Spatial Skills: A Comprehensive Intervention Using Digital Games and Hands-On Activities by Ashley E. Lewis Presser, Emily Braham, Regan Vidiksis

“…Evidence continues to accumulate that gaining spatial skills helps overall mathematics achievement and that learning resources are needed in this field. This mixed-methods study is the third in a series of investigations that leverage a design-based implementation research approach to develop preschool resources to support spatial orientation with both hands-on and technology-based experiences. …”
Get full text

Language Support in a Student Laboratory for Chemistry in Secondary School by Sarah Kieferle, Silvija Markic

“…The learning set-tings are implemented and evaluated at the Ludwigsburg University of Education (Germany) using a cyclical approach based on Participatory Action Research. …”
Get full text

Conflict management training for future educators by N. A. Sokolova, N. V. Sivrikova, E. G. Chernikova, T. G. Ptashko, E. M. Harlanova, S. V. Roslyakova

“…The following methods were used to collect the empirical data: the Thomas test; an achievement test to assess conflict knowledge; practical tasks (cases); methodology “My Conflict Position” (by V. …”
Get full text

Transforming Education in Saudi Arabia: Unlocking Success Through Innovative Teaching by Muhammad Tanveer

“…This paper employs quantitative approach in evaluating the flipped classroom, project-based learning, blended learning, experiential learning, and technology integration in increasing students’ engagement. …”
Get full text

PEDAGOGICAL ASPECTS OF USING MODERN SPORTS EQUIPMENT FOR 17-20 YEAR OLD STUDENTS by Liudmyla V. Shuba, Victor A. Shuba, Victoria V. Shuba

“…For more effective mastering of the learning material we have added new themes to the theoretical base. …”
Get full text

Manajemen Kurikulum dalam Meningkatkan Mutu Pendidikan (Studi Kasus di SD Negeri Puncak 2) by Suharyanto H. Soro, Maman Suherman, Sisca Rachmawati, Yudah Ardiansyah

“…In the implementation phase, the use of active learning methods and the integration of technology are key factors in creating an engaging and effective learning process. …”
Get full text

A natural language processing approach to support biomedical data harmonization: Leveraging large language models. by Zexu Li, Suraj P Prabhu, Zachary T Popp, Shubhi S Jain, Vijetha Balakundi, Ting Fang Alvin Ang, Rhoda Au, Jinying Chen

“…Research in this area has been limited, primarily focusing on lexical matching and ontology-based semantic matching. We aimed to develop new methods, leveraging large language models (LLMs) and ensemble learning, to automate variable matching.…”
Get full text

Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…Traditional sensor-based techniques such as CO₂ concentration monitoring, passive infrared (PIR) sensors, radio frequency (RF) signals, and indirectly, smart meter data are examined alongside more innovative, vision-based approaches incorporating deep learning and computer vision. …”
Get full text

The request for assisted suicide – a challenging topic to teach in medical education. Project report on a compulsory elective course at the Aachen University Hospital by Scherg, Alexandra, Wegmann, Miriam, Biersching, Thekla, Fink, Daniel, Lemos, Martin, Elsner, Frank

“…Method: The course was initially offered to 15 students in a classroom-based format and entailed 120 minutes during which an introductory lecture and an interactive conversation with a simulated patient were held. …”
Get full text

Introduction to the theoretical and intellectual foundations of the cognitive acceleration strategy (constructivist cognitive theory as a model) by Al-Hawra Hussein Ashour, Malik Hamid Mohsen

“…This paves the way for the transition from teaching to learning, instills positive attitudes towards learning, and helps him understand the academic material that includes facts, information, and laws, especially by discouraging students from being inclined toward experimentation. …”
Get full text

Enhanced Black-Winged Kite Algorithm for Drone Coverage in Complex Fruit Farms by Jian Li, Shengliang Fu, Weijian Zhang, Haitao Fu, Xu Fang, Zheng Li

“…Initially, the task area is segmented using the Segment Anything Model (SAM) based on deep learning, and an environmental map is created through gridding. …”
Get full text

The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

“…The research findings demonstrated the significant imbalance in the frequency of responses: the most frequent answers belong to the “Infrastructure” category, while the least frequent ones belong to the categories of pedagogical aspects of digital transformation affecting changes in the educational content and methods for assessing educational outcomes. It is concluded that the respondents’ replies reflect the institutional position of school principals in the current educational system: a head of a government-funded school positions herself/himself as an administrative executor and a representative of the founder, rather than a leader of the teaching team. …”
Get full text

Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…This study aims to introduce deep learning models into the adverse drug reaction (ADR) signal detection and compare different methods.MethodsThe data are based on adverse events collected by Center for ADR Monitoring of Guangdong. …”
Get full text

ScaleViM-PDD: Multi-Scale EfficientViM with Physical Decoupling and Dual-Domain Fusion for Remote Sensing Image Dehazing by Hao Zhou, Yalun Wang, Wanting Peng, Xin Guan, Tao Tao

“…However, most existing learning-based dehazing methods lack physical interpretability, leading to weak generalization. …”
Get full text

Application of principles of cognitive psychology in teaching: Perspectives from undergraduate medical and dental students. by Ambreen Surti, Shaur Sarfaraz, Rabiya Ali, Mukhtiar Baig, Rehana Rehman

“…Furthermore, the integration of CP principles enhanced session interactivity, student engagement, attention, and retention. To optimize learning outcomes, institutions should consider adopting blended learning strategies, curricular innovations, and active learning methodologies (such as case-based, team-based, and problem-solving approaches) aligned with CP principles. …”
Get full text