Dental students’ perceptions of integrating online learning in the dental curriculum by Banan Al-Natour, Rima Safadi, Abed Al-Hadi Hamasha, Reema Karasneh, Mohammad A. Alkandari, Sarah A. Hamasha

“…Conclusion Despite the positive attitude of undergraduate dental students towards online learning, many improvements are required. …”
Get full text

Learning curve of transanal minimally invasive surgery for rectal neoplasm by Xingwang Li, Xingwang Li, Shaoqing Guo, Kunhou Yao, Zheng Ge, Zheng Ge, Yuewei Li, Junhong Hu, Hongping Xia, Hongping Xia, Hongping Xia

“…The learning curve of TAMIS was obtained using the cumulative sum (CUSUM) analysis, and the optimal number of surgeries was determined based on the peak value of the curve, Clinical indicators such as operative time, intraoperative blood loss, positive rate of circumferential margin, length of postoperative hospital stay, and incidence of postoperative complications were compared at different stages.ResultsAll 58 patients successfully underwent TAMIS. …”
Get full text

Distance Learning Systems and thei Development Using the Cognitive Mechanisms by A. S. Aleshchenko, V. M. Trembach, Т. G. Trembach

“…The paper deals with electronic distance learning systems and explores the possibility of using cognitive mechanisms for the development of educational technologies.Materials and methods. …”
Get full text

The Views of University Students on Gamification-Enhanced Online Learning Experiences by Özcan Erkan Akgün, Murat Topal

“…The aim of this study is to examine the opinions of students who have a gamification-enhanced online learning experiences to find clues about the design of online learning environments based on gamification. …”
Get full text

Formation and peculiarities of advertising campaign by Yu.O. Golovchuk, L.V. Dibchuk

“…Brands combine powerful messages based on a well-researched idea and effective delivery methods that impact their audience. …”
Get full text

Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

“…This study aims to analyze the interrelationships among variables influencing scientific outputs and to identify the most effective machine learning algorithms for predicting their scientific, social, and economic impacts.Methodology: The current research is applied in purpose and descriptive in method, utilizing a scientometric approach. …”
Get full text

A Modified Differential Evolution for Source Localization Using RSS Measurements by Yunjie Tao, Lincan Li, Shengming Chang

“…To overcome these limitations, this paper proposes a novel enhancement of DE by integrating opposition-based learning (OBL) principles. The proposed method introduces an adaptive scaling factor that dynamically balances global exploration and local exploitation during the evolutionary process, coupled with a penalty-augmented cost function to effectively utilize boundary information while eliminating explicit constraint handling. …”
Get full text

SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Additionally, benchmarking against machine learning-based approaches will establish its position as a robust tool in genomic research.…”
Get full text

A Portable UV-LED/RGB Sensor for Real-Time Bacteriological Water Quality Monitoring Using ML-Based MPN Estimation by Andrés Saavedra-Ruiz, Pedro J. Resto-Irizarry

“…Bacteriological water quality monitoring is of utmost importance for safeguarding public health against waterborne diseases. Traditional methods such as membrane filtration (MF), multiple tube fermentation (MTF), and enzyme-based assays are effective in detecting fecal contamination indicators, but their time-consuming nature and reliance on specialized equipment and personnel pose significant limitations. …”
Get full text

Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis by Yanghuang Zheng, Yuelin Du, Biao Zhang, Helin Zhang, Panfeng Shang, Zizhen Hou

Get full text

Tropical Cyclone Size Prediction and Development of An Error Correction Method by Guo Ruichen, Xu Jing, Wang Yuqing

Get full text

Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

Get full text

Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Therefore, the CT-based ML achieved good predictive results in predicting immune infiltration in ccRCC, with the ExtraTrees machine learning algorithm being optimal. …”
Get full text

APPLICATION OF THE SYNTHETIC ANALYTICAL STRUCTURAL METHOD TO IMPROVE THE READING SKILLS by Idris Idris, Moh. Tahir, Syamsuddin Syamsuddin, Gusti Ketut Alit Suputra, Nuraini Nuraini, Nur Hakim, Gazali Gazali

“…Purpose – This study aims to evaluate the implementation of the Structural Analytic Synthetic (SAS) method in teaching beginning reading within the context of 21st-century skills, particularly during online learning environments prompted by the COVID-19 pandemic. …”
Get full text

Key Insights into Factors that Shape the Ideal EDI Learning Experiences of Canadian Academic Librarians by Maria King

“…The researchers identified four key insights as a result of their research that added to previous literature on this topic; the importance of personal identity and positionality in shaping learning experiences, the importance of seeing learning in the context of accumulated learning journeys rather than single activities, the dynamics of different types of learning including informal learning and those beyond professional contexts, and lastly that academic institutions themselves shape individuals learning experiences.  …”
Get full text

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

Get full text

Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach by Ali A. Darwish, Arie Nakhmani

Get full text

N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning by Juliana Manrique-Cordoba, Miguel Ángel de la Casa-Lillo, José María Sabater-Navarro

“…The method extends the Douglas–Peucker algorithm by incorporating velocity and orientation alongside position, enabling more precise trajectory simplification. …”
Get full text

Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

“…Accurate prediction of protein-ligand complex structures is a crucial step in structure-based drug design. Traditional molecular docking methods exhibit limitations in terms of accuracy and sampling space, while relying on machine-learning approaches may lead to invalid conformations. …”
Get full text

Deep learning with Bayesian Hyperparameter Optimization for Precise Electrocardiogram Signals Delineation by Annisa Darmawahyuni, Winda Kurnia Sari, Nurul Afifah, Siti Nurmaini, Jordan Marcelino, Rendy Isdwanta

“…The study resulted in the development of 40 models, with the best model achieving a 99.285 accuracy, 94.5% sensitivity, 99.6% specificity, and 94.05% precision. The ECG delineation-based deep learning with BHO shows its excellence for localization and position of the onset, peak, and offset of ECG waveforms. …”
Get full text