National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

Get full text

RETRACTED ARTICLE: Chinese English language learners’ vocabulary retention: Investigating the effectiveness of neuro/metacognitive and socio-cultural strategies by Wei Hu, Yipeng Luo

“…This suggests the efficacy of these innovative methods in enhancing English language learning, highlighting their potential for broader integration into EFL instruction.…”
Get full text

AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer by Yongcheng He, Xu Song, Hongping Wan, Xinghong Zhao

“…Results A novel deep learning model, termed AmpHGT, was developed based on heterogeneous graphs’ representation of peptides. …”
Get full text

Approaches to resource management of a modern university in the context of digitalisation by E. M. Akhmetshin, V. L. Vasilev

Get full text

METHODOLOGY OF PRACTICE-ORIENTED RESEARCH ACTIVITIES OF STUDENTS DURING PEDAGOGICAL INTERNSHIP: BUILDING NATIONAL IDENTITY IN MULTICULTURAL ENVIRONMENT by Tatyana L. Oskolova

“…Proposed investigation is based on formal requirements of national education including analysis of specific educational activities in ethnically and culturally diverse society.Methods. …”
Get full text

Exploring the Impact of Computer-Supported Input Flooding and Input Enhancement on EFL Learners' Collaborative Oral Performance in Blended and Virtual Classes by Mojtaba Khademi, Fatemeh hemmati, Farzaneh Khodabandeh, Malihe Mousavi

Get full text

Exploration of the relationships between the information and communication technology (ICT) and the education system in Morocco by Abdelkarim Taam, Amine Amar, Brahim Hmedna, Khalid Benabbes, El Menzhi Kaoutar, Rachid Daoudi, Adil El Makrani

“…These findings mean that teachers should always be ready and well-equipped, in terms of ICT competencies and positive attitude to provide ICT-based learning opportunities for students to improve their learning quality. …”
Get full text

An optimized support vector machine for lung cancer classification system by Mayowa O. Oyediran, Olufemi S. Ojo, Ibrahim A. Raji, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba, Oluwasegun Julius Aroba

“…The goal of thisresearch is to enhance machine learning to increase the precision and quality of lung cancer classification.MethodsThe dataset was obtained from an open-source database and was utilized for testing and training. …”
Get full text

Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…Regional GM volumes were quantified using voxel-based morphometry of MRI scans. Feature selection and classification were performed using the Random Forest machine learning algorithm, optimized to identify the most predictive GM regions.ResultsOut of 114 GM regions, eleven were selected as optimal predictors: left angular gyrus, frontal operculum, occipital fusiform gyrus, parietal operculum, postcentral gyrus, planum polare, superior temporal gyrus, and right hippocampus, orbital part of the inferior frontal gyrus, posterior cingulate gyrus, and posterior orbital gyrus. …”
Get full text

The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…Objective quantitative indicators of relevance of lexical units in everyday life situations are presented in frequency dictionaries; however, their role in the process of professionally oriented foreign language teaching has not been sufficiently studied.The purpose of the research is to increase the efficiency of the process of development of the English language lexical competence of students in IT fields by supporting and actively using electronic frequency dictionaries as additional means of the vocabulary expansion.Materials and methods of research include the analysis of the problem of development of the English language lexical competence of students of IT directions, modeling of the process of work with frequency dictionaries in the learning process, the practical implementation of the developed model, the pedagogical experiment and analysis of its results. …”
Get full text

Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction by Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd, Robert Talarico, Rami Abielmona

“…Background: Research comparing artificial intelligence and machine learning (AI/ML) methods with classical statistical methods applied to large population health databases is limited. …”
Get full text

Psychological security in the digital classroom by Larysa P. Zhuravlova, Liubov V. Pomytkina, Alla I. Lytvynchuk, Tetiana V. Mozharovska

“…Teachers with moderate online engagement (6-18 hours weekly) demonstrated the most positive associations with distance learning but paradoxically reported feeling less secure in this environment. …”
Get full text

Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…For sentiment analysis, the ITF-IDF approach achieved F1-scores of 0.74 and 0.79 for negative and positive sentiment classifications, respectively. In terms of price prediction, the proposed AM-LSTM model outperformed traditional statistical methods, as well as machine learning and deep learning baselines, achieving improvements in MAE ranging from 43.0 to 87.4%. …”
Get full text

Hybrid CNN-LSTM Model with Custom Activation and Loss Functions for Predicting Fan Actuator States in Smart Greenhouses by Gregorius Airlangga, Julius Bata, Oskar Ika Adi Nugroho, Boby Hartanto Pramudita Lim

“…Experimental results demonstrate the superior performance of the hybrid CNN-LSTM model, achieving an accuracy of 0.9992, precision of 0.9989, recall of 0.9996, and an F1 score of 0.9992, significantly outperforming traditional machine learning methods such as Random Forest and Gradient Boosting, as well as standalone CNN and LSTM architectures. …”
Get full text

IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network by Yuexu Jiang, Manish Sridhar Immadi, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

“…Our goal is to introduce a novel deep-learning method to predict ICI treatment responses in cancer patients. …”
Get full text

Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors by Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao

Get full text

Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…This study introduces an innovative machine learning-based fraud detection framework that incorporates sophisticated preprocessing methods like SMOTE-ENN for class imbalance mitigation, autoencoder for dimensionality reduction, and TOPSIS for optimal feature selection. …”
Get full text

Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level by Cristiana Abbafati, Luciano Nieddu, Giorgio Cattani, Maria Antonietta Reatini, Paola Ponzani

Get full text

Building resilience, emotional regulation, kindness, and critical thinking in the digital age: An evaluation of the Superpowers Program on Philippine kindergarteners by Rebekah Luo, Sundance Zhihong Sun, Emma Carter, Therese N Hopfenbeck

“…The program focused on developing 12 character strengths that every child needs to navigate their online and offline lives. Employing a mixed-methods approach, the study utilized a single-group pre-post design to evaluate teachers’ and parents’ perceived impact of the program on the development of four selected character strengths (resilience, emotional regulation, kindness and critical thinking), based on quantitative and qualitative data. …”
Get full text

Emerging practice in mental health patient and public involvement research advisory groups: a narrative review by Vanessa Pinfold, Abigail Burgess, Lisa Couperthwaite, Emma Garavini, John Gibson, Roya Kamvar, Alexandra Kenny, Tanya MacKay, Georgia Naughton, Rachel Temple

Get full text