Tapping line detection and rubber tapping pose estimation for natural rubber trees based on improved YOLOv8 and RGB-D information fusion by Yaya Chen, Hui Yang, Junxiao Liu, Zhifu Zhang, Xirui Zhang

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The Efectiveness of Using Interactive Learning Media in Enhancing Learning Motivation and Science Literacy of 6th Grade Elementary School Student on the Topic of World Continents by Efi Tasfiyatul Millah, Dede Trie Kurniawan, Yunus Abidin

“…Based on the research results, it can be concluded that the use of interactive learning media is effective in improving students' learning motivation and science literacy …”
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Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning by Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme

“…To further enhance control performance, a novel adaptive sigmoid-based proportional control mapping was introduced, dynamically adjusting control signals to allow precise control near neutral positions and rapid movements at higher activation levels, better aligning with natural user behaviors. …”
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A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Le... by Lee TF, Shiau JP, Chen CH, Yun WP, Wuu CS, Huang YJ, Yeh SA, Chen HC, Chao PJ

“…After preprocessing and standardization, LASSO was applied for feature selection. An ensemble learning model was developed based on multiple machine learning algorithms, with SHAP (Shapley additive explanations) used for interpretability.Results: The ensemble model achieved an AUC of 0.817, outperforming the best single model (AUC 0.711), demonstrating improved predictive accuracy and stability. …”
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Quantitative evaluation of color system of small and medium-sized cities based on color recognition of street view images: A case study of Feng County, China by Yu Ren, Yunya Guo, Ning Xu, Ke Liu, Xiaodong Xu

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A Multi-Spatial-Scale Ocean Sound Speed Profile Prediction Model Based on a Spatio-Temporal Attention Mechanism by Shuwen Wang, Ziyin Wu, Shuaidong Jia, Dineng Zhao, Jihong Shang, Mingwei Wang, Jieqiong Zhou, Xiaoming Qin

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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

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Active Technological Learning in Chemistry teaching in the high school context by Sebastião Luis da Silva Neto, Bruno Silva Leite

“…In this article, an analysis is carried out with an emphasis on identifying publications that provide support for exploring the implications in teaching and learning processes of pedagogical proposals based on the pillars of Active Technological Learning (ATL) in Chemistry education at the high school level. …”
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Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…The main methods of autonomous navigation are considered: visual (optical flow, visual odometry, visual SLAM), inertial (IMU-based), lidar (LiDAR SLAM), radar, radio frequency (UWB, Wi-Fi, BLE), as well as hybrid multi-sensor systems. …”
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Design of circularly polarized phosphorescence materials guided by transfer learning by Xu Liu, Yihan Zhang, Yifan Xie, Ledu Wang, Liyu Gan, Jialei Li, Jiahe Li, Hongli Zhang, Linjiang Chen, Weiwei Shang, Jun Jiang, Gang Zou

“…Herein, we propose a strategy to customized design of circularly polarized phosphorescent materials based on large language models and transfer learning methods, which not only enables efficient identification of suitable synthesis precursors, but also provides valuable guidance for experimental procedures. …”
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Power Indices in the Context of Social Learning Behaviour in Social Networks by Ruili Shi, Chunxiang Guo, Xin Gu

“…Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. …”
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Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

“…The proposed framework integrates three core innovations: (1) a context-aware masking strategy that reduces over-reliance on surface-level entity mentions by encouraging the model to leverage surrounding contextual cues, (2) a multi-task learning component that improves the model’s understanding of relative spatial and temporal information, and (3) a position-aware representation technique that restructures numerical data into token sequences that preserve structural integrity, addressing inherent limitations of subword tokenization in current language models. …”
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Model experimental study of filling property of ring-type geotextile tube by LAI Zhiqiang, XU Shuling, ZHAO Lianjun, Chen Lin, ZHANG Ming

“…The results were relatively accurate, with <italic>M</italic>_SE values of 5×10^-5, 3×10^-4, and2×10^-5, respectively.The counterclockwise filling mechanism operates as followsConclusionsUnder 12 different working conditions, when the tube bag is filled counterclockwise at a speed of 2.77 m/s, its average height after filling reaches its peak at 0.09 m, with a relatively uniform distribution of sediment particles inside the bag. Leveraging machine learning principles, the heights of the filled tube bags under three different filling methods—counterclockwise, radial, and vertical—were simulated and predicted using the random forest algorithm, based on experimentally measured heights. …”
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“Video Killed the Radio Star”: Transitioning from an Audio- to a Video-Based Exam in Hungarian Language Classes for International Medical Students by Gabriella Hild, Anna Dávidovics, Vilmos Warta, Timea Németh

“…The study suggests that the shift from audio- to video-based assessment can bridge classroom learning with real-world application, potentially serving as a model for other non-traditional study abroad settings in Languages Other Than English (LOTEs), especially as purely audio-based communication has become less prevalent in today’s world.…”
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Transformers for Vision: A Survey on Innovative Methods for Computer Vision by Balamurugan Palanisamy, Vikas Hassija, Arpita Chatterjee, Arpita Mandal, Debanshi Chakraborty, Amit Pandey, G. S. S. Chalapathi, Dhruv Kumar

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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…This novel approach integrates biophysical insights with machine learning, focusing on pharmacophoric properties such as charge, hydrogen bonding, hydrophobicity, and aromaticity.ResultsResults showed significant enrichment of true positive ligands—improving database enrichment by up to 54-fold compared to random selection—demonstrating the robustness of this approach across diverse proteins.ConclusionUnlike conventional structure-based or ligand-based screening methods, this work emphasizes the role of specific protein conformations in driving ligand binding, making the process highly interpretable and actionable for drug discovery. …”
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Boosting Degradation Representation Learning for Blind Image Super-Resolution by YUAN Jiang, MA Ji, ZHOU Dengwen

“…Firstly, an unsupervised implicit degradation representation learning method is designed based on contrastive learning, which can extract accurate degradation information without relying on sample queues. …”
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Ball Point Game: Playing or Learning Agile Project Management? by Maria Lydia Fioravanti, Gustavo M. N. Avellar, Bruna Oliveira Romeiro, Bruna Goncalves Rezende, Ellen Francine Barbosa, Ana M. Moreno

“…This paper presents an empirical evaluation of the Ball Point Game (BPG), a non-digital serious game designed to teach Agile project management principles. The evaluation is based on three case studies conducted with undergraduate students at the University of S&#x00E3;o Paulo, aiming to explore the following aspects: ability to compare traditional methods and Agile methods; educational effectiveness, particularly regarding player experience and perceived learning; and skills development or improvement. …”
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Machine learning in predicting firm performance: a systematic review by Yaseen Hezam, Hoa Luong, Lilian Anthonysamy

“…This study investigates the application of machine learning (ML) techniques in predicting firm performance, responding to the challenges posed by the large volumes of data required for accurate predictions. …”
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Geographic Information System - Modern Teaching Method in Business Administration by Irina Albăstroiu, Mihai Felea, Cristinel Vasiliu

“…Respondents also said they are open to introducing new teaching methods, in accordance with the university`s position for that matter.…”
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