The Effect of Reflective Thinking Based Practices on Retention Scores: A Mixed-Meta Method by Emrah Cinkara, Cihan Salma, Veli Batdi

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The Effect of Reflective Thinking Based Practices on Retention Scores: A Mixed-Meta Method by Emrah Cinkara, Cihan Salma, Veli Batdi

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The Effect of Reflective Thinking Based Practices on Retention Scores: A Mixed-Meta Method by Emrah Cinkara, Cihan Salma, Veli Batdi

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Attitude and Challenges of Indian Medical Undergraduate Students in Learning Ophthalmology at Puducherry, Southern India: A Mixed-method Study by VS Naggalakshmi, Lalithambigai Chellamuthu, K Srikanth, V Jyothi

“…Further, to explore the experiences, perceived factors influencing learning and suggestions for improvement in teaching and learning ophthalmology among medical undergraduate students at Puducherry, Southern India. …”
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A Titanium Alloy Defect Detection Method Based on Optical–Acoustic Image Fusion by Mingzhen Wang, Yang Zhao, Yufeng Huang, Gang Zhao

“…To address this limitation, this paper proposes a titanium alloy defect detection method based on optical–acoustic image fusion. A detection system was developed to achieve comprehensive and precise inspection of titanium alloys by integrating advanced deep learning-based optical testing technology, reliable C-scan ultrasonic detection technology, and information fusion techniques. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…The task for SRR in this model is image-based. Specifically, the purpose of a novel and robust hybrid feature extraction module is to capture individual characteristics, relative positional information, and group-level cues, which are used to construct relation nodes and group nodes. …”
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Orbital Analysis of a Dual Asteroid System Explorer Based on the Finite Element Method by Linli Su, Wenyu Feng, Lie Yang, Zichen Fan, Mingying Huo, Naiming Qi

“…By introducing the application of the finite element method, detailed analysis of spacecraft orbit characteristics, and a stability characterization method based on a cloud model, this paper systematically explores the logic and structure of spacecraft orbit planning in a dual asteroid system.…”
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The effectiveness of e-learning in focused cardiac ultrasound training: a prospective controlled study by Johannes Ruppert, Rebecca Krüger, Sebastian Göbel, Susanna Wolfhard, Liv-Annebritt Lorenz, Andreas Michael Weimer, Roman Kloeckner, Elias Waezsada, Holger Buggenhagen, Julia Weinmann-Menke, Johannes Matthias Weimer

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Integrative analysis of gene expression and DNA methylation through one‐class logistic regression machine learning identifies stemness features in medulloblastoma by Hao Lian, Yi‐Peng Han, Yu‐Chao Zhang, Yang Zhao, Shan Yan, Qi‐Feng Li, Bao‐Cheng Wang, Jia‐Jia Wang, Wei Meng, Jian Yang, Qin‐Hua Wang, Wei‐Wei Mao, Jie Ma

“…Here, we employed a trained stemness index model based on an existent one‐class logistic regression (OCLR) machine‐learning method to score MB samples; we then obtained two stemness indices, a gene expression‐based stemness index (mRNAsi) and a DNA methylation‐based stemness index (mDNAsi), to perform an integrated analysis of MB stemness in a cohort of primary cancer samples (n = 763). …”
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External validation of the Oncotype DX breast cancer recurrence score nomogram and development and validation of a novel machine learning-based model to predict postoperative overa... by Dongdong Wang, Xinfeng Wang, Xin Yang

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Land-sea Clutter Classification Method Based on Multi-channel Graph Convolutional Networks by Can LI, Zengfu WANG, Xiaoxuan ZHANG, Quan PAN

“…This classification process involves discriminating whether each azimuth-range cell in the Range-Doppler (RD) map is overland or sea. Traditional deep learning methods for this task require extensive, high-quality, and class-balanced labeled samples, leading to long training periods and high costs. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The proposed method effectively captures the dynamic evolution of fractures and provides reliable spatial positioning of fracture endpoints, offering a valuable tool for real-time monitoring and early warning of potential rock mass instabilities. …”
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Relationship between Classroom Management Practice and Student’s Critical Thinking Skills at Higher Education Level by Quratul Ain Hina, Mahek Arshad, Sidra Munir

“…However none of the above mentioned effect was statistically significant. Teachers need to learn how to manage positive learning environment. …”
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UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network by XIE Jia, LIU Feng, KE Yanguo, YIN Zhen, RUAN Wei, YAO Jinming

“…A protection method for ultra-high voltage direct current transmission lines based on generalized regression neural network (GRNN) is proposed to address the issues of easy rejection and long fault detection time in ultra-high voltage direct current protection. …”
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The legacy of attending a sustainably friendly school: Ysgol San Sior, a place of possibilities for a sustainable world by Diane Boyd, Naomi McLeod, Ian Jones

“…Our research also indicates how the seamless Welsh curriculum builds on the foundational base of early childhood, through primary and beyond, to inform all areas of lifelong learning and nurtures a strong sense of self and being Welsh. …”
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The Effectiveness of Project-Based Differentiated Learning in Improving Descriptive Writing Skills : A Study of Elementary School Students by Nur Istiqomah, Tri Wintolo Apoko

“…In addition, qualitative results showed that students had positive perceptions of this learning method. This study provides recommendations for elementary school teachers to consider project-based differentiated learning for more effective teaching and contribute to increasing students' motivation and confidence in learning.…”
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The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning by David M. Hannon, Jaffar David Abbas Syed, Bairbre McNicholas, Michael Madden, John G. Laffey

“…The decision to perform prone positioning was based on the criteria in the PROSEVA study. …”
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Improving Pairs Trading Strategies Using Two-Stage Deep Learning Methods and Analyses of Time (In)variant Inputs for Trading Performance by Wei-Lun Kuo, Wei-Che Chang, Tian-Shyr Dai, Ying-Ping Chen, Hao-Han Chang

“…When the portfolio is significantly over- (under-)priced measured by another predetermined stop-loss threshold, we close the position to stop loss. This paper develops a two-stage deep learning method to improve the investment performance of a PTS. …”
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Sentiment Analysis on the PT Pertamina Corruption Case using IndoBERT and RCNN Methods by Wildan Jaya Kusoema, Ichsan Ibrahim

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Integrating virtual reality and problem-based learning in STEM education: A contextual approach to enhance mathematical literacy through cultural heritage by Munzid Mahendra, Nanik Asriyah Ismawati, Adi Nur Cahyono

“…Students also provided positive feedback regarding the developed learning program. …”
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