Application of Machine Learning for Academic Outcome Prediction: A Methodological Comparative Study by Md. Wira Putra Dananjaya, Putu Gita Pujayanti

“…The models were evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R2) metrics. …”
Get full text

Funding the future: Nigeria's battle against poverty through government expenditure by Temitope Adebayo

“…This study investigates the effectiveness of government expenditure in combating the incidence of poverty in Nigeria from 1981 to 2022, employing a Vector Error Correction Model (VECM) framework. The research analyzes the relationship between poverty incidence and key variables including government expenditure, GDP per capita, Agricultural Credit Guarantee Scheme Fund (ACGSF), and gross enrollment ratio in secondary education. …”
Get full text

Environment attitudes and social influence of sustainable practices: a study on consumer behaviour in Zimbabwe by Reason Masengu, Patson Chawuruka, Chenjerai Muchenje

“…The model indicate higher prediction values for Q 2=0.339-0.366 and lower predicted mean squared error/mean absolute error (PMSE/MAE), indicating better prediction performance. …”
Get full text

Machine learning approaches for forecasting compressive strength of high-strength concrete by Mohammed Shaaban, Mohamed Amin, S. Selim, Islam M. Riad

Get full text

3D-modelling in amniotic fluid evaluation by V. A. Mudrov, A. K. Lyapunov, A. A. Mudrov, Y. K. Novikova

Get full text

Weighted Kappa for Interobserver Agreement and Missing Data by Matthijs J. Warrens, Alexandra de Raadt, Roel J. Bosker, Henk A. L. Kiers

Get full text

Neuropsychological and Academic Performance in Colombian Children with Attention-Deficit Hyperactivity Disorder: A Comparative Study with a Control Group by Daniel Landínez-Martínez, Diana Montoya-Londoño, Lorena Aguirre-Aldana, Carmen Dussán-Lubert, Carolina Robledo-Castro, Antonio Partida-Gutierrez de Blume

“…They showed deficits in IQ, metalinguistic skills, reading, writing, memory, attention, and executive function, with increased errors and heterogeneity across tasks. <b>Conclusions:</b> For future research, it is necessary to address ADHD through mixed-methods studies that enrich quantitative findings with the lived experiences of children and families affected by ADHD. …”
Get full text

HVDC converter simulation model with turn-off characteristics of series thyristors by Yupeng He, Yechun Xin, Guoqing Li, Tuo Wang, Shouqi Jiang, Weiru Wang, Yanxu Wang

Get full text

Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information by Fan Zhang, Li Fu, Weiwei Gao, Peihong Zhang, Jijun Zhao

Get full text

Near‐Real‐Time Monitoring of Global Terrestrial Water Storage Anomalies and Hydrological Droughts by Shaoxing Mo, Maike Schumacher, Albert I. J. M. vanDijk, Xiaoqing Shi, Jichun Wu, Ehsan Forootan

Get full text

Rapid determination of oil content of single peanut seed by near-infrared hyperspectral imaging by Shunting Zhang, Xue Li, Du Wang, Li Yu, Fei Ma, Xuefang Wang, Mengxue Fang, Huiying Lyu, Liangxiao Zhang, Zhiyong Gong, Peiwu Li

Get full text

Evaluating Mandarin tone pronunciation accuracy for second language learners using a ResNet-based Siamese network by Xiaolong Bu, Weitong Guo, Hongwu Yang, Xiaoyong Lu, Yanshan He, Hongwen Xu, Weining Kong

Get full text

«Out of sight, out of mind?», or Transferring adolescents with type 1 diabetes to an adult network by V. V. Platonov, Yu. L. Skorodok, E. V. Plotnikova, E. M. Patrakeeva, T. A. Dubinina

Get full text

Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

Get full text

Comprehensive training for young football players: Technical, physical, and psychological readiness for global competitions by Valerii Kyselov, Anna Sakhnenko, Vita Vorona, Iryna Skrypka, Larysa Yeremenko

Get full text

Attitudes and awareness of professionally active people on eye diseases prevention—a descriptive cross-sectional survey by Karina Mierczak, Anna Garus-Pakowska

“…A correlation was found between the level of awareness and education. Individuals with intermediate and higher education most frequently received satisfactory and good evaluations. …”
Get full text

Exploring the socioeconomic determinants of dietary diversity in rural Bangladesh: A longitudinal study. by Tayaba Cheragee Prachee, Md Rasel Biswas, Saiful Islam

“…We employed a Poisson fixed-effects regression model with robust standard errors to model the dietary diversity indicators, appropriate for the count nature of the data. …”
Get full text

Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer by Enes Erul MD, Yusuf Aktekin MD, Furkan Berk Danışman BSc, Şükrü Armanç Gümüştaş, Büşra Saraç Aktekin MD, Emre Yekedüz MD, Yüksel Ürün MD

“…The survey included three distinct sections: (1) Perceptions: Patients’ general views on AI’s impact in oncology; (2) Attitudes: Comfort level with AI performing medical tasks; (3) Concerns: Specific fears related to AI implementation (eg, diagnostic errors, data privacy, healthcare costs). Survey responses were summarized descriptively, and differences by age, gender, and education were analyzed using chi-square tests. …”
Get full text

Applying multivariate generalizability theory to compose and rank the evaluation scores of college teachers’ teaching ability by Desheng Yan, Guangming Li

Get full text

Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

Get full text