Medium-term load forecasting with Power Market Survey: GEPCO case study by Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, Syed Afraz Hussain Shah, Anzar Mahmood

“…The time horizon for MTLF ranges from a few weeks to one year and it has applications in energy management and planning. The deep-learning networks (DLNs), proposed in recent years, have a black-box nature, which reduces the interpretability of the results. …”
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The utilization of technology in environmental education by Hamida Nurul Azizah

“…Digital technology has enhanced connectivity between learners and the natural environment to create innovative digital learning tools. Therefore, the identified technology can be used to optimize the environmental education process. …”
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Biomimic models for in vitro glycemic index: Scope of sensor integration and artificial intelligence by Mohammed Salman C K, Muskan Beura, Archana Singh, Anil Dahuja, Vinayak B. Kamble, Rajendra P. Shukla, Sijo Joseph Thandapilly, Veda Krishnan

“…Non-enzymatic sensors offer superior stability and repeatability in complex matrices, enabling real-time glucose quantification across multiple timepoints without enzyme degradation constraints. Machine learning algorithms, both supervised and unsupervised, enhance predictive accuracy by elucidating complex relationships within digestion data. …”
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FEMALE GENITAL MUTILATION AND THE DEVELOPMENT OF THE GIRL CHILD IN AKPABUYO LOCAL GOVERNMENT AREA OF CROSS RIVER STATE, NIGERIA by NNANA OKOIOFEM, JULIANA JEROME ADIE, OMINI UBI UBI, RUNYI DANIEL JAMES

“…Extant literatures were reviewed in line with the topic under study. The social learning and symbolic interactionism theories were used as the theoretical framework for this study. …”
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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

“…Traditional machine learning models often lack transparency, which poses challenges for stakeholders who need to understand the factors leading to predictions. …”
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Artificial intelligence artificial muscle of dielectric elastomers by Dongyang Huang, Jiaxuan Ma, Yubing Han, Chang Xue, Mengying Zhang, Weijia Wen, Sheng Sun, Jinbo Wu

“…Establishing an AM material database is highly valuable, as seemingly minor material data can be correlated with descriptors and target values via machine learning. Through material data mining integrating materials science and data science, we can predict potential breakthroughs in AM materials. …”
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Integrative mindfulness-based infant parenting program: theoretical foundations and a novel intervention protocol by Or Burstein, Zipi Teshale Zevin, Ronny Geva, Ronny Geva

“…To adapt mindful parenting practice for implementation in pediatric care settings and the specific needs and challenges of parenting infants, the current study introduces a novel theoretical framework, combining mindfulness with elements from calming cycle theory, dialectical behavior therapy (DBT), trauma-informed care, emotion-focused therapy, schema therapy, and Vygotsky’s learning theory. These elements are not merely complementary but cardinal in meeting the diverse needs of parents during infancy, both in typical developmental contexts and following preterm birth, where additional stressors are often present. …”
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Enriching maritime vocational education with physical-sports activities by Marudut Bernadtua Simanjuntak, Marihot Simanjuntak, Vidya Selasdini, Meilinasari Nurhasanah Hutagaol, April Gunawan Malau, Susi Herawati, Pargaulan Dwikora Simanjuntak, Damoyanto Purba, Derma Watty Sihombing

“…Educators identified innovative curriculum strategies such as interdisciplinary integration and simulation-based learning. Cadets reported increased physical fitness, mental resilience, and readiness for maritime challenges, supported by tailored sports education programmes. …”
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Using Natural Language Processing Models to Automate Text Labelling: Categorising Semantic Density in Preservice Teachers' Lesson Observation Reports by Thato Senoamadi, Lee Rusznyak, Ritesh Ajoodha

“… Education researchers have long had to choose between studies that provide rich insight into teaching and learning in a particular context and insight into broad patterns revealed from large-scale studies. …”
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“There’s always somebody that you can identify with”: a qualitative study of patient perspectives on buprenorphine group medical visits by Mariya Masyukova, Benjamin T. Hayes, Teresa López-Castro, Aaron D. Fox

“…Conclusions Findings demonstrate that many persons with OUD taking BUP desire assistance with recovery skills, peer support, and learning about the risks and benefits of BUP. Group medical visits can efficiently deliver these services in primary care, but findings also emphasize that group counseling will be best received when voluntary and group members are committed and authentic.…”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…The outstanding performance demonstrates that Swin-MIQ possesses robust learning and generalization capabilities across all referenced distorted databases.…”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

“…Currently, the development of deep learning has had a positive impact on remote sensing image change detection tasks, but many current methods still face challenges in effectively processing global and local features, especially in the task of building change detection in high-resolution images containing complex scenes. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…The RFR algorithm integrates Bagging ensemble learning and random subspace theory to construct multiple decision trees and aggregate their predictions, thereby enhancing the model’s prediction accuracy and stability. …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…Abstract In this study, we combined state-of-the-art data modelling techniques (machine learning [ML] methods) and data from state-of-the-art low-cost particulate matter (PM) sensors (LCSs) to improve the accuracy of LCS-measured PM2.5 (PM with aerodynamic diameter less than 2.5 microns) mass concentrations. …”
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THE USING OF DIGITAL TOOLS IN THE PROJECT ACTIVITIES OF STUDENTS OF PEDAGOGICAL SPECIALTIES OF HIGHER EDUCATION INSTITUTIONS by Liudmyla Nezhyva, Svitlana Palamar, Nataliia Semenii

“…The main criteria for selecting digital tools were: simple interface (so students can master its functionality faster); compliance to the State Standard for Primary Education; didactic value; accessibility (the age of pupils and the ability to comprehend tasks developed with the help of the proposed digital tools were taken into account); technical and methodological support (present on all proposed digital resources, which facilitates understanding of their interface); very important criterion is the wide functionality on a free basis; the ability to adapt in various modern conditions during offline and online learning.  For increase studentsʼ readiness to use digital tools during project activities, the authors developed an methodology for using digital tools at each stage of work on projects and investigated their effectiveness. …”
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Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device by Yucheng Wang, Ruixi Huang, Wenyi Zhang, Dingyun Guo, Jiawei Zheng, Hexin Wang, Fobao Huang, Zhuoya Wang, He Guan

“…Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. Here, a modifying layer of polythiophene (P3HT) was incorporated onto the TCP thin film to enhance the resistive switching (RS) characteristics of the synaptic device, which exhibits excellent stability (103 endurance cycles and > 103 s retention time) and low energy consumption (~ 6.3 pJ for electrical stimulus and ~ 6 pJ for optical stimulus). …”
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Creative-Motivated Citizen Science After-School STEAM Programme for Motivating Actions Related to the Oceanic Microplastics Problem by Tomomi Sayuda, Haruyuki Kinoshita, Fumitoshi Kato, Miles Pennington

“…Our goals are to encourage long-term community cooperation in research, learning about MP issues, and thinking about local solutions through this community participatory CS programme. …”
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EXPLORING THE NEXUS BETWEEN WOMEN'S EMPOWERMENT PROGRAMS, EDUCATIONAL ATTAINMENT, AND AGE DIFFERENCES IN POVERTY ALLEVIATION IN NIGERIA by NNANA OKOI OFEM, TIKU ORU TAKIM, TANGBAN EGBE EBAGU, RITA NGOZI OKAFOR

“…Three theories were used to support the study which includes empowerment theory, participatory model and social learning theory. Findings reveals that educational empowerment Impact," underscores how varying educational levels among women significantly influence their participation in and perceived benefits from empowerment initiatives. …”
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Assessment of Student IPEC Competency Using Observer-Based Evaluation in Didactic Interprofessional Education Activities by Jacqueline Zeeman, Kimberly Sanders, Tia Belvin, Philip Rodgers

“…IPE competency requires multiple developmental experiences across diverse educational environments, including didactic and experiential learning. While literature outlines various IPE activities, gaps exist regarding IPE evaluation strategies with most published tools relying on self-evaluation. …”
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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

“…After recording the damping force signal and vibration data from the load cell and accelerometer caused by the metal appendage's impact, features such as vibration amplitude, damping time, wavelength, and force amplitude were retrieved. Three machine-learning techniques were then used to classify the objects' materials according to their damping rates. …”
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