Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

“…Nowadays, there is a boom in implementing machine learning (ML) approaches in solving various structural engineering problems. This research aims to present a novel data-driven predictive framework for the SS of RCDBs using an explainable ML approach and incorporating a large database compilation of 950 experimental specimens with different web reinforcement. …”
Get full text

Planning and Evaluation of Bioequivalence Studies of Enalapril Products by D. P. Romodanovsk, A. L. Khokhlov, A. E. Miroshnikov

“…Over the past years we have accumulated a sufficient pool of data in the Russian Federation which make it possible to identify many differences, difficulties and errors associated with bioequivalence studies (especially those of highly variable drugs). …”
Get full text

Incidence and complications of orthopaedic screw protrusion by Rasi Mizori, Mueed Ijaz, Mohamed Hashem, Ruben Doyle, Yasser Al Omran, Omar Musbahi

“…It calls for further research on the medico-legal and economic impacts of screw length errors and the need for better surgical practices.…”
Get full text

Behavioral Modeling of SiC MOSFET Static and Dynamic Characteristics Based on Particle Swarm Optimization Algorithm by Zhibo Zhu, Yang Zhao, Wei Yan

“…A pulse testing experimental circuit is constructed to validate the accuracy of the dynamic model, compared with the sample model and experimental results, the errors of the behavioral model are less than 3%. This study provides valuable insights for MOSFET modeling and optimization, contributing to the dynamic analysis and reliability research of electronic circuits.…”
Get full text

Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design by Abdulkadir Memduhoğlu

“…In the image-to-text evaluation, GPT-4o analyzed maps containing deliberate cartographic errors to assess its ability to identify issues and suggest improvements. …”
Get full text

GIOS ONLINE PLATFORM AS A TOOL FOR OVERCOMING LEARNING LOSSES IN MATHEMATICS by Daryna V. Vasylieva, Tetiana L. Hodovaniuk

“…The sudden change in the learning format and the unpreparedness of the education system led to learning losses of students. The most researched and documented learning losses are the ones in mathematics, reading, and science. …”
Get full text

EDITORIAL by Abubakar Munir

“…From addressing drug resistance and medication errors to ensuring equitable access to cutting-edge treatments, our collective responsibility is to surmount these hurdles and strive for the betterment of healthcare worldwide. …”
Get full text

A comparative study of total quality management in healthcare from provider and patient perspectives at Al-Mouwasat University Hospital by Areej Eissa, Fatmah Al-Tarrab, Ezat Kasem, Yasser Al Zaim, Ali Hmidoush, Joudy Salloum, Jamal Ataya

Get full text

Theories of language learning

“…Ineke van de Craats examines the impact of the mother tongue on second language acquisition, discussing three models: Contrastive Analysis, Interlanguage Hypothesis, and Creative Construction Hypothesis, emphasizing how native language influences learning strategies and errors. Simona Pekarek Doehler stresses the significance of social interaction in language acquisition, proposing that effective learning occurs in social contexts where cognitive and linguistic skills are developed collaboratively. …”
Get full text

Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification by Syed Mohammed Shafi, Sathiya Kumar Chinnappan

“…This hybrid approach enhances the model’s ability to distinguish between different types of lung diseases and reduces diagnostic errors compared to existing methods.…”
Get full text

Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…The need for mandatory verification of information provided by artificial intelligence is emphasized, given the errors and hallucinations committed by Google Gemini when compiling the list of scientific articles. …”
Get full text

Efficiently Automating Covering Array Generation: A Model Checking and Metaheuristic Algorithm Approach by Sajad Esfandyari, Davar Giveki, Amir Rastegarnia, Ali Farzamnia, Hua Zheng

“…Combinatorial testing is employed to identify errors that arise from the interaction among subsystems, with covering arrays being the most crucial type of combinatorial testing. …”
Get full text

Saliqa in Classical Arabic During the Jahiliyyah Era by Omar Adeeb Shaker Jnaidi

“…I hope to succeed in answering them in this research.…”
Get full text

Quantitative assessment of lugers’ nutrition in the annual training cycle by Małgorzata Bagińska, Małgorzata Morawska-Tota, Łukasz Tota

“…Conclusions: The tested lugers did not meet the demand for most of the components in the competition and transition periods. The dietary errors shown in the study group may affect sports performance. …”
Get full text

The Impact of Competitive and Collaborative Environments on Vocational Students’ Competitive Attitudes, Task Motivation, and Adaptability: A Multilevel Structural Equation Modeling... by Cheng Ma, Bo-Ching Chen

“…With the rapid changes in external environments, cognitive adaptability has become crucial for vocational students’ personal growth and career development. However, previous research has predominantly focused on traditional single-level effects, overlooking the multilevel impacts of school climates. …”
Get full text

Wearable Device versus Polysomnography for the Assessment of Sleep Characteristics in Patients with Sleep Disorders by Kankanok Attawiboon, Wish Banhiran, Phawin Keskool, Wattanachai Chotinaiwattarakul, Sarin Rungmanee

“…Results: Data from 55 patients (33 males, 22 females) were analyzed, with four patients excluded due to data errors. The mean differences between WD and PSG for SE (%) and light sleep were 8.4±23.8 and 43.6±26.4, respectively, both statistically significantly (p<0.05). …”
Get full text

KRAS Mutations as Predictive Biomarkers for First-Line Immune Checkpoint Inhibitor Monotherapy in Advanced NSCLC: A Systematic Review and Meta-Analysis by Filip Marković, Jelena Milin-Lazović, Nikola Nikolić, Aleksa Golubović, Mihailo Stjepanović, Milica Kontić

“…Recent research suggests a link between KRAS mutations and the effectiveness of ICIs, as KRAS-driven tumors may possess unique immunogenic features that influence the tumor microenvironment. …”
Get full text

Q-factor Estimation Method Based on Time-varying Wavelet by Daming GE, Jianguo SONG

Get full text

VR Co-Lab: A Virtual Reality Platform for Human–Robot Disassembly Training and Synthetic Data Generation by Yashwanth Maddipatla, Sibo Tian, Xiao Liang, Minghui Zheng, Beiwen Li

“…This research introduces a virtual reality (VR) training system for improving human–robot collaboration (HRC) in industrial disassembly tasks, particularly for e-waste recycling. …”
Get full text

Determining the Performance Quality of Combine Harvesters Operating by M. E. Chaplygin, E. V. Zhalnin

“…(Conclusion) It has been established that the use of a two-chamber sampler will ensure separate sequential sampling behind a header, a threshing unit, and a chopping spreader, while excluding sequential overlapping of errors. It has been revealed that the proposed scheme for sampling a grain losses resulting from the working units of a combine harvester will reduce the total number of samplers used - no more than 7 in each replication, regardless of the width of a threshing-and-separating unit or a header.…”
Get full text