Introducing computational thinking to second and third graders. Programming whole paths outperforms step-by-step navigation in maze tasks by Frank Reinhold, Priska Sprenger, Gunnar Staniczek

“…Our study underpins that Scratch-based block programming combined with robot-like real-world devices is a promising way to utilize CT in (early) primary education—and deepens our knowledge about how students engage in relevant learning activities.…”
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Robust Corner Detection Using Local Extrema Differences by Reza Yazdi, Hassan Khotanlou, Hosna Khademfar

“…Corner detection, crucial for many computer vision tasks due to corner's distinct structural properties, often relies on traditional intensity-based detectors developed before 2000. This paper introduces a novel intensity-based corner detector that surpasses existing methods by solely analyzing pixel intensity within a 3×3 neighborhood. …”
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The Effect of Pictorial versus Linguistic Context on Iranian EFL Learners’ Reading Comprehension by Mohammad Reza Khodadust, Sheida Ahmadi Navareh, Fatemeh Faramarzi Kohnehshahri

“…Objective: The objective of this study was to comparatively examine the effects of pictorial versus linguistic context on Iranian EFL learners’ reading comprehension. Methods: The study involved 60 female EFL learners from the Abidar Private Language Institute during the spring term of 2022 in Sanandaj, Iran; they were selected based on their scores from the Nelson Proficiency Test. …”
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Development and Validation of a Dynamic Prediction Model for Massive Hemorrhage in Trauma by Chengyu Guo, Maolin Tian, Minghui Gong, Fei Pan, Hui Han, Chunping Li, Tanshi Li

“…This study developed and validated a group of dynamic prediction models based on vital sign time-series data and a deep-learning algorithm to assist medical staff in the early diagnosis and dynamic prediction of a future massive hemorrhage in trauma.…”
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Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study. by Mei Chen, Tingting Zhang, Shibin Wang

“…Given the scarcity of annotated data, current deep learning methods face challenges in the field of document-level chemical-disease relation extraction, making it difficult to achieve precise relation extraction capable of identifying relation types and comprehensive extraction tasks that identify relation-related factors. …”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…First, features of user's opinions are extracted based on three methods: (1) Backward Feature Selection; (2) High Correlation Filter; and (3) Low Variance Filter. …”
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Elevated few-shot network intrusion detection via self-attention mechanisms and iterative refinement. by Congyuan Xu, Yong Zhan, Guanghui Chen, Zhiqiang Wang, Siqing Liu, Weichen Hu

“…To overcome these challenges, this paper proposes a novel elevated few-shot network intrusion detection method based on self-attention mechanisms and iterative refinement. …”
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Educational effectiveness of cognitive and metacognitive strategies on educational self-destructive behaviors and negative self-evaluation thinking in Arabic lessons by Ali Nourihamid Altome, Mohammad hassani, Masoumeh Talebi

“…Idris et al, (2022) investigated the use of cognitive and metacognitive strategies in foreign language learning. The results showed that cognitive and metacognitive strategies have a positive and significant effect on learning a foreign language (French). …”
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Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions by Eui-Jin Kim, Ho-Chul Park, Seung-Woo Ham, Seung-Young Kho, Dong-Kyu Kim

“…In this study, we propose and compare two learning-based frameworks for detecting vehicles: the aggregated channel feature (ACF), which is based on human-made features, and the faster region-based convolutional neural network (Faster R-CNN), which is based on data-driven features. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Our effort will improve patient care and well-being by creating an anomaly detection system based on machine learning specifically for medical images and providing timely treatments and notifications. …”
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Qualitative evaluation of the feasibility of a national whole-school program for reducing school violence and improving school climate in Chile by Verónica López, Claudia Carrasco-Aguilar, Pamela Jervis, Javier Torres-Vallejos, María Teresa Ramírez, Juan Pablo Álvarez González, Amanda Franulic

“…This policy included a focus on school climate (convivencia escolar) and mental health through a nationwide intervention program now called the Learning to Live Together Program (Programa A Convivir se Aprende), designed using a whole-school approach.MethodsThis study presents the results of a large-scale qualitative evaluation of the initial feasibility of the program, framed in a mixed-methods design. …”
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Prediction of pathological complete response to neoadjuvant chemoimmunotherapy in non–small cell lung cancer using 18F-FDG PET radiomics features of primary tumour and lymph nodes... by Xingbiao Liu, Zhilin Ji, Libo Zhang, Linlin Li, Wengui Xu, Qian Su

“…The clinical features were screened using univariate and multivariate analyses. Machine learning models were developed using the random forest method, leading to the establishment of one clinical feature model, one primary tumour radiomics model, and two fusion radiomics models. …”
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Physical fitness predicts post-esophagectomy complications after chemoradiotherapy: a pilot study by Chien-Hung Chiu, Wei-Yang Chang, Lan-Yan Yang, Yin-Kai Chao, Wei-Hsun Chen, Yun-Hen Liu, Ya-Tzu Tsao, Yu-Ling Chang, Shu-Chun Huang

“…Additionally, AV̇P, EqO2nadir, and hand grip strength emerged as the key predictors of major post-esophagectomy complications in the tree-based learning analysis, which showed a sensitivity of 0.448, specificity of 0.977, and accuracy of 76.4%, with false negative and false positive rates of 55.2% and 2.3%. …”
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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation by Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang

“…ObjectiveThis study aimed to develop a machine learning model tool for identifying postoperative patients with major bleeding based on the electronic medical record system. …”
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‘I felt I belonged’: A qualitative study of role modelling and team integration as key drivers of primary care career choice by Eva Pfarrwaller, Camille Laurent, Johanna Sommer, Anne Baroffio, Dagmar M. Haller, Hubert Maisonneuve

“…Primary care physicians supervising these placements can influence students’ career decisions through role modelling and by creating supportive learning environments.Objectives This qualitative study aimed to identify factors contributing to role modelling and students’ sense of integration during placements and their influence on career decisions, with a focus on primary care.Methods Semi-structured interviews were conducted with postgraduate trainees selected based on interest in primary care, exploring their experiences during undergraduate clinical placements and factors influencing career choices. …”
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Improving and supporting quality of care in Dutch nursing homes: a quantitative study by Bellis van den Berg, Marrit B. Zuure, Paulien Vermunt, Mariëlle Zondervan-Zwijnenburg, Mirella Minkman

“…A multilevel model demonstrated that the themes Learning and improvement, Responsive workforce and Use of resources were statistically significant associated with positive care outcomes. …”
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Exploring the mediating role of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) in the association between obesity and sleep-disor... by Ying Cui, Ziyi Cheng

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Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election by Rhoma Cahyanti, Desiana Nurul Maftuhah, Aris Budi Santoso, Indra Budi

“…To predict the sentiment, four different machine-learning methods were used and compared to each other. …”
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Enhancing security in electromagnetic radiation therapy using fuzzy graph theory by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…Secure communication protocols demonstrated 98% confidentiality and 96% integrity rates, surpassing conventional methods. Risk assessment coverage increased to 92% with reduced false positives. …”
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The Sociology of Digital Classroom: An Analytic Autoethnograhy on Interaction Problems by Muhittin Şahin

“…The learning environment of the learners in the classroom is also affected by the technology adopted. …”
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