Self-regulation of learning in Chilean primary school students: Validation of an instrument and differences by sex and grade by Fabiola Sáez Delgado, Javier Mella Norambuena, Marcela Bizama, Joan Gatica

“…However, despite its recognised value, the literature shows that it is still insufficiently rooted in schools and that students do not develop it automatically. The aim of this study was to validate an instrument for measuring self-regulation of learning in primary school students and to analyse differences in students’ self-regulation of learning processes by sex and grade. …”
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Detecting malicious code variants using convolutional neural network (CNN) with transfer learning by Nazish Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan, Farman Ali, Daehan Kwak

“…Malware presents a significant threat to computer networks and devices that lack robust defense mechanisms, despite the widespread use of anti-malware solutions. …”
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A Training-Free Infant Spontaneous Movement Assessment Method for Cerebral Palsy Prediction Based on Videos by Qingqiang Wu, Penglin Qin, Jiachen Kuang, Fan Wei, Zejiang Li, Ruping Bian, Chengcheng Han, Guanghua Xu

“…objective: Early diagnosis of infant cerebral palsy (CP) is very important for infant health. In this paper, we present a novel training-free method to quantify infant spontaneous movements for predicting CP. …”
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FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

“…At present, the existing false data injection attack (FDIA) detection methods for cyber-physical power system can not precisely obtain the location of the attack due to its limited ability of feature expression. …”
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Self‐Adaptive Reflectance Film for Passive Temperature Regulation in Diverse Environments by Shuo Yang, Sizhe Tang, Yufeng Cai, Zhiming Ye, Xiangbin Zou, Xueyu Yuan, Yujie Song, Bing Li, Dongyan Tang, Ming Liu

“…Designing a system capable of automatically switching between cooling and heating modes in response to changing ambient conditions presents several specific challenges that engineers and researchers are actively addressing. …”
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Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer by Xiuxiang Tan, Mika Rosin, Simone Appinger, Julia Campello Deierl, Konrad Reichel, Mariëlle Coolsen, Liselot Valkenburg-van Iersel, Judith de Vos-Geelen, Evelien J. M. de Jong, Jan Bednarsch, Bas Grootkoerkamp, Michail Doukas, Casper van Eijck, Tom Luedde, Edgar Dahl, Jakob Nikolas Kather, Shivan Sivakumar, Wolfram Trudo Knoefel, Georg Wiltberger, Ulf Peter Neumann, Lara R. Heij

“…This DL model can automatically detect tumor, stroma and lymphocytes on whole slide images (WSIs) of PDAC patients. …”
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Improved Iterative CD-Spline Approach for Building Boundary Regularization Using Airborne LiDAR Data by Renato Cesar dos Santos, Ayman F. Habib, Mauricio Galo

“…In the proposed strategy, the optimal contour is automatically selected by evaluating the number of CPs and minimizing the distance between the initially extracted and regularized contours. …”
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Identifying thermokarst lakes using deep learning and high-resolution satellite images by Kuo Zhang, Min Feng, Yijie Sui, Jinhao Xu, Dezhao Yan, Zhimin Hu, Fei Han, Earina Sthapit

“…Due to the typically small sizes and highly dynamic nature of thermokarst lakes, their identification in large regions remains challenging. This study presented a deep-learning model and applied it to high-resolution (1.2 m) satellite imagery to automatically delineate and inventory thermokarst lakes. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…A thorough analysis presented regional correlations between the geomorphological, geological and tectonic settings in Jordan. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…A thorough analysis presented regional correlations between the geomorphological, geological and tectonic settings in Jordan. …”
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Comparative Analysis of the Slope Stability Using Slide and Plaxis 2D Software: A Case Study of Tombel Pozzolan Quarry (South-West Cameroon) by Mambou Ngueyep Luc Leroy, Oscar Rodrigue Michel Kenmoe, Hervé Joël Tchognia Nkuissi, Sylvain Lawou Kouayep, Gael Nkenwoum Chebou, André Chéagé Chamgoué, Innoua Mohamadou

“…After the support has been introduced, and the new safety factor calculated, the support automatically increased the safety factor value from 0.87 to 1.51 by using Slide 2D and from 1.0 to 1.98 by using Plaxis 2D, which is from an unstable state to a very stable state.…”
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Lightning Damage Detection Method Using Autoencoder: A Case Study on Wind Turbines with Different Blade Damage Patterns by Takuto Matsui, Kazuki Matsuoka, Kazuo Yamamoto

“…It was suggested that the availability of wind turbines could be improved by employing this proposed method to remotely and automatically verify the soundness after lightning detection.…”
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Layering Public Park Histories: Uncovering the Effects of Restoration Idea[l]s in Post-War Urban Spaces in Germany and the U.S. by Laura Brannan Fretwell, Eliane Schmid

“… • Challenges the assumption that parks are automatically beneficial to the public. …”
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Data extraction from polymer literature using large language models by Sonakshi Gupta, Akhlak Mahmood, Pranav Shetty, Aishat Adeboye, Rampi Ramprasad

“…However, this process for large spans of text continues to be a challenge due to the specific nature and styles of scientific manuscripts. In this study, we present a framework to automatically extract polymer-property data from full-text journal articles using commercially available (GPT-3.5) and open-source (LlaMa 2) large language models (LLM), in tandem with the named entity recognition (NER)-based MaterialsBERT model. …”
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NEOntometrics - A Public Endpoint for Calculating Ontology Metrics by Reiz, Achim, Sandkuhl, Kurt

“…How do we compare two ontologies or assess their different versions? Automatically calculated ontology metrics offer a starting point for an objective assessment. …”
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A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets by Tianpeng Xie, Jingguo Zhu, Chunxiao Wang, Feng Li, Zhe Meng

“…LiDAR point clouds of reflective targets often contain significant noise, which severely impacts the feature extraction accuracy and performance of object detection algorithms. These challenges present substantial obstacles to point cloud processing and its applications. …”
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Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera by Kotoka Matsunaga, Katsutoshi Masai, Hideo Saito

“…Existing systems often rely on post-processing or require active user intervention, failing to provide intuitive, real-time insights. This study presents a system that instantly visualizes high-speed phenomena in slow-motion using an event camera. …”
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Frequency–Spatial–Temporal Domain Fusion Network for Remote Sensing Image Change Captioning by Shiwei Zou, Yingmei Wei, Yuxiang Xie, Xidao Luan

“…Remote Sensing Image Change Captioning (RSICC) has emerged as a cross-disciplinary technology that automatically generates sentences describing the changes in bi-temporal remote sensing images. …”
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Generic HTR Models for Medieval Manuscripts. The CREMMALab Project by Ariane Pinche

“…The goal here is not to explain how to build or improve a new HTR engine, nor to find a way to automatically align a preexisting corpus with an image to quickly create ground truths for training. …”
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Self-Healing Databases for Emergency Response Logistics in Remote and Infrastructure-Poor Settings by James McGarvey, Martha R. Grabowski, Buddy Custard, Steven Gabelein

“…<i>Methods:</i> This work explores this research gap by presenting a machine learning algorithm and self-healing database approach, describing its application in Arctic logistics and emergency response. …”
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