Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

“…Abstract This paper proposes an improved Pelican optimization algorithm (IPOA) based on comprehansive strategy for the parameter identification of photovoltaic models. …”
Get full text

GaitRGA: Gait Recognition Based on Relation-Aware Global Attention by Jinhang Liu, Yunfan Ke, Ting Zhou, Yan Qiu, Chunzhi Wang

“…Specifically, we introduce a Relational-aware Global Attention (RGA) module, which captures global structural information within gait sequences to enable more precise attention learning. Unlike traditional gait recognition methods that rely solely on local convolutions, we stack pairwise associations between each feature position in the gait silhouette and all other feature positions, along with the features themselves, using a shallow convolutional model to learn attention. …”
Get full text

Evaluating INSTALL as an instructional model to enhance EFL pre-service teachers’ TPACK: a case of three Indonesian universities by Maulana Mualim, Margana Margana, Agus Widyantoro, Hoang Huu Nguyen, Khristianto Khristianto, Faisal Faisal, Nisa Roiyasa

“…PurposeThis study investigates the effects of an instructional model incorporating inquiry-based, technology saturated, and flipped learning (INSTALL) on EFL pre-service teachers’ TPACK in Indonesia and finds out their responses about it.Design/approach/methodThis is an explanatory mixed method research where quantitative data were further explained by qualitative data. …”
Get full text

A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

“…Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to initialize the particle position matrix. …”
Get full text

Correlation Analysis of Misconceptions on Motivation, Learning Outcomes, and Critical Thinking Skills in Physics Learning by Nurul Afni, Abdul Halim, Evendi Evendi, Fitria Herliana, Lilia Halim

“…In contrast, the correlation is robust and significant in the positive direction between misconceptions and learning outcomes and between misconceptions and critical thinking skills. …”
Get full text

Effects of cooperative learning on students’ learning outcomes in physical education: a meta-analysis by Hulusi Boke, Yalin Aygun, Sakir Tufekci, Fatma Hilal Yagin, Burak Canpolat, Goktug Norman, Pablo Prieto-González, Luca Paolo Ardigò

“…This meta-analysis examines the effect of Cooperative Learning (CL) interventions, compared to traditional instructional methods, on students’ learning outcomes across affective, cognitive, physical, and social domains in physical education (PE). …”
Get full text

Comparative Study of Schoology and OpenLearning E-Learning Platforms for Enhancing English Skills by Rakhmadi Aris, Haryanti Yanti

“…Based on these results, the study recommends that the university implement an online learning policy focused on the Schoology framework while reconsidering other mandatory implementations of OpenLearning to provide students a more effective learning experience.…”
Get full text

A combined feature selection approach for malicious email detection based on a comprehensive email dataset by Han Zhang, Yong Shi, Ming Liu, Libo Chen, Songyang Wu, Zhi Xue

Get full text

Lessons on developing animated modules to introduce the sustainable development goals in undergraduate global health pedagogy by Obidimma Ezezika, Obidimma Ezezika, Kishif Fatima, Mona Jarrah, Umayangga Yogalingam, Mark McKee, Suzanne Sicchia

Get full text

Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This improvement also effectively reduced the rates of false positives and false negatives, resulting in more stable and reliable performance in rice disease detection tasks.ConclusionsThe rice leaf disease image generation method based on the improved CycleGAN model, as proposed in this study, effectively transforms images of healthy leaves into those depicting disease symptoms. …”
Get full text

The role of hope in bullying and cyberbullying prevention by Sameer Hinduja, Justin W. Patchin

Get full text

The uncertainty inherent to DEM simulations of interlocking particles by Lukas Maier, Michael Mitterlindner, Hadie Benabchiasli, Gregor Fasching, Stefan Radl

Get full text

Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach by Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades

“…The only exception was SMOTE, which showed a positive effect specifically with Bidirectional Encoder Representations from Transformers (BERT)-based models. …”
Get full text

Intelligent Structural Health Monitoring and Noncontact Measurement Method of Small Reservoir Dams Using UAV Photogrammetry and Anomaly Detection by Sizeng Zhao, Fei Kang, Lina He, Junjie Li, Yiqing Si, Yiping Xu

Get full text

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction by Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Derek Bivona, Libor Pastika, Ewa Sieliwonczyk, Boroumand Zeidaabadi, Paolo Inglese, Lara Curran, Ahran D. Arnold, Declan O'Regan, Zachary Whinnett, Kenneth C. Bilchick, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

Get full text

Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…<b>Background</b>: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. …”
Get full text

The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learnin... by Salim Salmi, Saskia Mérelle, Renske Gilissen, Rob van der Mei, Sandjai Bhulai

“…ResultsAccording to the machine learning model, helpers’ positive affirmations and expressing involvement contributed to improved scores of the help seekers. …”
Get full text

Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

Get full text

LAGNet: better electron density prediction for LCAO-based data and drug-like substances by Konstantin Ushenin, Kuzma Khrabrov, Artem Tsypin, Anton Ber, Egor Rumiantsev, Artur Kadurin

“…Abstract The electron density is an important object in quantum chemistry that is crucial for many downstream tasks in drug design. Recent deep learning approaches predict the electron density around a molecule from atom types and atom positions. …”
Get full text

Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot Study by Luis Perotti, Oskar Stamm, Hannah Strohm, Jürgen Jenne, Marc Fournelle, Nils Lahmann, Ursula Müller-Werdan

Get full text