Enhancing and Generalizing Position-Velocity Tracking in Imperfect <italic>mm</italic>Wave Systems Using a Low-Complexity Neural Network by Deeb Assad Tubail, Mohammed Zourob, Salama Ikki

“…This work aims to enhance and generalize the joint position-velocity tracking process in millimeter wave (mmWave) systems that suffer from hardware impairments (HWIs), all while considering computational complexity. …”
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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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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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“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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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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Augmented reality in science learning: A systematic literature review by Z. Zufahmi, Fatchur Rohman, Murni Sapta Sari

“…Augmented Reality has been widely implemented at various levels of education and makes a positive contribution to learning. The positive impact of using AR can improve visualization, motivation, learning experience, and student personnel in science learning. …”
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Social-emotional learning in physical education classes at elementary schools by Mahmood Sindiani, Hadas Brodie Schroeder, Ayelet Dunsky

“…It underscores the importance of creating a positive and emotionally supportive learning environment, contributing significantly to students’ holistic development. …”
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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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Harnessing ICT for English Language Learning in Indonesia: Challenges and Opportunities by Aditya P. Nugraha, Fajar Duriat, Rusdayanti Rusdayanti

“…During the COVID-19 pandemic, online learning became mandatory, leading to the use of various apps, tools, and teaching methods to ensure the learning process continued. …”
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Motivation and Parental Supervision Improve Indonesian Language Learning Outcomes by Muhammad Agus Halim, Ni Wayan Rati

“…Based on the results of the large test of influence together on learning motivation and parental supervision on learning outcomes. …”
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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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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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The features of Chinese students’ integration into the learning environment of Russian universities by M. A. Galaguzova, A. V. Shvetsova, Wei Zhang

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Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“…Namely, the sequence of the planned actions makes up the scheme of the program, carried out in a logical order, scientifically based and strictly established. Based on the algorithmization follows the execution or the methodical application of the program and its evaluation, focused on the reverse connection. …”
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About the Usage of the Augmented Reality Technology in Mathematics and Physics Learning by Yu. Yu. Dyulicheva

“…The purpose of the work is the investigation of the modern approaches to augmented reality usage in mathematics and physics learning and the development of mobile application with graphical tips in the augmented reality mode for solving the dynamics typical problems.Materials and methods. …”
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DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

“…Methods: Our proposed DTC-m6Am model first represents RNA sequences by One-Hot coding to capture base-based features and provide structured inputs for subsequent deep learning models. …”
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Collaborative Writing Learning in Inquiry to Improve Critical Thinking Skills by Nurul Shofiah, Zulmy Faqihuddin Putera, Sripit Widiastuti

“…One effective approach to mastering academic writing is through inquiry-based collaborative learning. Hence, this study endeavors to delineate the procedures involved and gauge students' perceptions of inquiry-based collaborative writing in enhancing critical thinking skills within the Indonesian language curriculum. …”
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Learning curve of transanal minimally invasive surgery for rectal neoplasm by Xingwang Li, Xingwang Li, Shaoqing Guo, Kunhou Yao, Zheng Ge, Zheng Ge, Yuewei Li, Junhong Hu, Hongping Xia, Hongping Xia, Hongping Xia

“…The learning curve of TAMIS was obtained using the cumulative sum (CUSUM) analysis, and the optimal number of surgeries was determined based on the peak value of the curve, Clinical indicators such as operative time, intraoperative blood loss, positive rate of circumferential margin, length of postoperative hospital stay, and incidence of postoperative complications were compared at different stages.ResultsAll 58 patients successfully underwent TAMIS. …”
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