Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

“…Each review will be grouped into a sentiment class which is divided into positive and negative classes. This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…To address this, we employed the Levenberg–Marquardt Algorithm (LMA) as a deterministic optimization method to estimate the magnetic source’s position and parameters, as well as machine earning (ML) algorithms, which consist of a Fully Connected Neural Network (FCNN). …”
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Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods by Reihanesadat Khatami, Mohammadsadegh Faghihi, Hannanesadat Khatami, Mahmoud Yousefifard, Seyedhesamoddin Khatami

“…We tested these methods on a dataset related to mortality prediction in myocardial infarction (MI) using machine learning models, assessing how well they reconstructed sensitivity and specificity. …”
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Piloting the informed health choices resources in Barcelona primary schools: A mixed methods study. by Laura Samsó Jofra, Pablo Alonso-Coello, Esther Cánovas Martínez, Carol de Britos Marsal, Ana Gallego Iborra, Ena Pery Niño de Guzman Quispe, Giordano Pérez-Gaxiola, Carolina Requeijo, Marta Roqué I Figuls, Sarah Rosenbaum, Karla Salas-Gama, Iratxe Urreta-Barallobre, Laura Martínez García

“…For this purpose, the IHC learning resources were developed for primary school children. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Research data is administrative data of 225 students who have taken the NST-based school readiness test conducted by TK Ar-Rasyid in 2012-2018. …”
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Standardizing course assessment in competency-based higher education: an experience report by Hector Vargas, Emanuel Arredondo, Ruben Heradio, Luis de la Torre

“…The second study employed a between-groups design, examining the perceptions of 109 instructors from various faculties, including Law, Economic and Administrative Sciences, Philosophy, and Education, among others.ResultsThe within-group study emphasized the need for better course assessment and alignment of learning objectives with competencies. It found a positive correlation between C-A&M and the effective implementation of CBE in university courses. …”
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Understanding Perspectives and Practices of "Learning through Play" in East African Refugee and Host-Country Schools by Abraha Asfaw, Silvia Diazgranados, Betty Akullu Ezati, Jonathan Kwok, Christina Raphael, Anne Smiley, Peter Ssenkusu

“…We used ethnographic methods to study these schools for 14-20 days in order to learn from their existing play-based teaching and learning practices. …”
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Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis by M. Bonfanti-Gris, A. Herrera, M. P. Salido Rodríguez-Manzaneque, F. Martínez-Rus, G. Pradíes

“…Abstract Background This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies. …”
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Systematic review: Barcode link modules for interactive science and math learning in Indonesian High Schools by Fransiska Romana Febrianti, Mohammad Masykuri, Endang Susilowati

“…Researchers found that the barcode link-based module had a positive impact on learning. Most of the research articles were found in national journals, and most of the research was conducted on the islands of Java and Sulawesi. …”
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A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

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Graph-Enhanced Deep Learning With Character Similarity Mining for Automated NOTAM Correction in Aviation Systems by Bing Dong, Haoran Yao, Chuang Luo, Ruichao Yang, Ziyue Wang

“…During the masking stage of the CKBERT model, both positive and negative samples of knowledge graph triples were generated and integrated into multi-hop comparative learning. …”
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Ultrasound combined with serological markers for predicting neonatal necrotizing enterocolitis: a machine learning approach by Yi Yang, Shoulan Zhou, Xiaomin Liu, Yanhong Zhang, Liping Lin, Chenhan Zheng, Xiaohong Zhong

“…This study aimed to develop and validate a machine learning (ML) model integrating ultrasound and serological markers to improve NEC prediction in neonates.MethodsThis retrospective, case-control study included 191 neonates (cases with Bell's stage ≥ II NEC and matched controls) admitted to a tertiary NICU. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…This study proposes a multi-task learning (MTL) framework inspired by the coarse-to-fine processing mechanism of the human brain to address these challenges. …”
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Promoting Peer Interaction and Acceptance Among Students with Special Needs Through an Experiential Learning Program by Hsiu-Ming Lin, Szu-Yin Chu, Wen-Hsuan Chang, I-Hsuan Lo, Hsin-Ting Peng

“…Based on Kolb’s ExL theory, this study explores how the ExL Prog fosters experiential learning, reflection, and mutual growth through activities that enhance interpersonal skills, promote empathy, and create an inclusive classroom environment where students with and without special needs deepen their understanding and acceptance of one another. …”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…Traditional signature-based detection methods often struggle to cope with advanced evasion techniques such as polymorphism, metamorphism, encryption, and stealth, which are commonly employed by cybercriminals. …”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

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A Machine Learning Tool for Determining the Required Sample Size for GEV Fitting in Climate Applications by R. J. Matear, P. Jyoteeshkumar Reddy

“…Achieving such quantities will require extensive climate downscaling simulations, potentially aided by ML‐based downscaling methods to increase the ensemble size.…”
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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

“…We introduce a novel in-context learning (ICL) prompt paradigm that selects high-similarity samples as positive and negative prompts, enabling the model to effectively learn and generalize knowledge. …”
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Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning by Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu

“…However, there is currently a lack of CKD prognostic prediction models based on transcriptomics and machine learning.MethodsUtilizing weighted correlation network analysis (WGCNA) and random forest algorithms in GSE137570, three core gene sets of different sizes were constructed, which were externally validated in GSE66494 and GSE180394, and evaluated for their predictive performance in GSE45980 by receiver operating characteristic (ROC) curves. …”
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Cultural openness and desire to learn in relation to ethnocultural empathy among university students in multilingual contexts by Beatriz Peña-Acuña, Carmen M. Toscano-Fuentes, Patricia Flor-Arasil

“…The statistical analyses employed included Spearman’s correlation coefficient, the Mann-Whitney U test, and linear regression.ResultsResults revealed a strong positive correlation between cultural openness, desire to learn, and empathy. …”
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