The Influence of Naqshbandi Thariqah Wirid Practice on the Development of Students’ Learning Character and Cognitive Skills by Razif Artnesa Facxy, Mokh. Iman Firmansyah, Risris Hari Nugraha

“… The decline in student motivation and discipline in learning after the Covid-19 pandemic has become one of the major challenges in Islamic boarding school-based educational institutions. …”
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Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…Specifically, we employ spectral augmentation self-supervised learning and dynamic concept contrastive learning to achieve open-world graph learning guided by pseudo-labels, and construct hard positive sample pairs to enhance the network’s focus on potential positive pairs. …”
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Analysis of ability to listen to descriptive text through the implementation of the learning team’s strategy student by Ruth C Paath

“…The data analysis technique is inductive based on the facts obtained in the learning process and then constructed according to its type. …”
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EXPLORATION OF THE USE OF DIGITAL STORYTELLING IN SOCIAL STUDIES LEARNING: A BIBLIOMETRIC ANALYSIS STUDY by Muhammad Rijal Fadli, Imam Santosa, Khusnul Fatonah, Harlinda Syofyan, Vjollca Jonuzi

“…This study aims to fill this gap by exploring publication patterns, research trends, and collaborations related to the use of digital storytelling in elementary school social studies learning. Methodology – This study uses a quantitative method with a bibliometric analysis design to identify publication patterns, research trends, and collaboration networks based on quantitative data from journals and scientific articles. …”
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Application of machine learning in soil heavy metals pollution assessment in the southeastern Tibetan plateau by Yan Li, Yilong Yu, Shiyuan Ding, Wenjing Dai, Rongguang Shi, Gaoyang Cui, Xiaodong Li

“…This study applies a machine learning approach based on the self-organizing map hyper-clustering, alongside advanced methodologies such as Positive Matrix Factorization (PMF), Incremental Spatial Autocorrelation, and Bivariate Local Indicators of Spatial Association (BiLISA), to analyze the ecological risk of soil HMs in representative watersheds of the southeastern Tibetan Plateau, focusing on spatial pattern clustering, pollutant source identification, and interaction risk assessment. …”
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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…The proposed technique involves the use of 16 deep-learning models to obtain enhanced performance based on accuracy, recall, specificity, and precision, offering new potential for detecting kidney abnormalities. …”
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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Furthermore, a machine learning regression model is deployed at the base station to augment the precision of fire detection. …”
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Attention-GANs: An Advanced GNSS Data Augmentation Method for Improved NLOS/LOS Classification by S. Nie, H. Yang

“…Using the UrbanNav dataset, we validate our approach by training various ML classifiers on augmented data and comparing their performance against conventional methods. Experimental results demonstrate that our approach effectively mitigates data imbalance, improves classification accuracy, and enhances GNSS positioning robustness in complex urban environments.…”
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Knowledge acquisition and student perceptions of three teaching methods: a randomized trial of live, flipped, and interactive flipped classrooms by Omar Al-Karadsheh, Huda Abutayyem, Ayeh Saidi, Abdelrahman Shqaidef

“…Abstract Background Traditional lecture-based learning has been the cornerstone of dental education; however, active learning strategies such as flipped classrooms are gaining popularity for their potential to enhance student engagement and performance. …”
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GPE-DNeRF:Neural radiance field method for surface geological bodies reconstruction by Xinyi Wang, Weihua Hua, Xiuguo Liu, Peng Li, Guohe Li

“…We propose an enhanced method, GPE-DNeRF, which integrates depth information with Gaussian positional encoding to achieve high-quality reconstruction of geological surfaces. …”
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A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

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The Influence of Javanese-Arabic Translation Methods by Tafsir Al-Jalalain towards the Students’ Mastery in Nahwu by Andini Cita Damayulfi, Mochammad Firdaus, Faisol Mahmud Adam Ibrahim

“…Based on the findings, the Javanese-Arabic translation method was recommended to be applied in Islamic boarding schools with Kitab Kuning (Yellow Book) learning system, especially for Islamic Boarding Schools in Java.…”
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Talent Management Pattern Finding with a Succession Approach Using the Met-asynthesis Method by Ali tavakoli, maryam majidi, Alireza Afsharnejad, gholamreza amjadi

“…The research approach used is exploratory, the research strategy includes action research, and the methodology appropriate to this research is the meta-synthesis method based on the Sandelowski and Barso (2007) approach. …”
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Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model by David Kappel, Sen Cheng

“…However, the link between context-dependent neural codes and context-dependent renewal is not fully understood.MethodsWe use a deep neural network-based reinforcement learning agent to study the learning dynamics that occur during spatial learning and context switching in a simulated ABA extinction and renewal paradigm in a 3D virtual environment.ResultsDespite its simplicity, the network exhibits a number of features typically found in the CA1 and CA3 regions of the hippocampus. …”
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Online Education in the Republic of Karelia in the New Realities of Society Development by O. V. Potasheva, A. N. Bykova

“…Studying the regional experience of using online educational platforms during the period of distance learning for schoolchildren and identifying the features of new realities on the formation of human capital.Materials and methods. …”
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Durian Kawan Aceh Selatan تطبيق طريقة الغناء لترقية قدرة الطلبة على حفظ التصريف بمعهد روضة السنة الولية by Suhaimi Suhaimi, Abdullah Abdullah, Firli Sukmawati

“…The results of student responses to the application of this method were positive, where researchers obtained 72% positive responses and 28% negative responses. …”
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Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF by Long Qian, Xinchuang Lin, Xiaoguang Niu, Qihai Huang, Leilei Li, Guangyi Guo, Zexin Wang, Ruizhi Chen

“…However, for vehicle navigation applications in the Global Navigation Satellite System (GNSS)-denied scenario such as parking lot and tunnel, it is quite difficult to maintain robust and continuous positioning based on consumer-grade sensors. In this paper, a novel method is proposed for accurate vehicular dead-reckoning based only on a smartphone inertial measurement unit. …”
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A Multihead Attention Deep Learning Algorithm to Detect Amblyopia Using Fixation Eye Movements by Dipak P. Upadhyaya, MS, Gokce Cakir, MD, Stefano Ramat, PhD, Jeffrey Albert, PhD, Aasef Shaikh, MD, PhD, Satya S. Sahoo, PhD, Fatema Ghasia, MD

“…Objective: To develop an attention-based deep learning (DL) model based on eye movements acquired during a simple visual fixation task to detect amblyopic subjects across different types and severity from controls. …”
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A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

“…POI data play an important role in various location-based services, including navigation, positioning, and local search applications. …”
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