Developing Healthcare Complaints Analysis Tool for Health System: A Cross‐Sectional Study by Ali Vafaee Najar, Damoon Gorji, Hoorang Nazari Ardabili, Maryam Pourshirazi, Elaheh Houshmand

“…Conclusions Providing medical centers with such a system by the ministry of health and mandatory reporting of complaints may lead to coding complaints, measure the severity of complaints, service monitoring and organizational learning.…”
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A New Website Fingerprinting Method for Tor Hidden Service by Zihang Hui, Jiangtao Zhai, Shengxian Wang, Weijie Ji

“…This method not only deals with the homepage, but also considers the features of sub-pages in depth, which can effectively improve the performance of the model in closed-world and open-world scenarios through deep textual and time-series feature learning. The experimental results show that compared with existing state-of-the-art techniques, the proposed method exhibits better performance in terms of key performance metrics.…”
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How to Turn Trust into Non-material Asset of Higher Education by G. Zborovsky, P. Ambarova

“…If the trust level is low, the effectiveness of learning and teaching decreases greatly. Distrust destroys creative and innovative potential of educational communities. …”
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Mom Knows More than a Little Ghost: Children’s Attributions of Beliefs to God, the Living, and the Dead by Dawoon Jung, Euisun Kim, Sung-Ho Kim

“…This study suggests that children are not predisposed to view dead agents as possessing a disembodied and supernatural mind, highlighting the importance of cultural learning in the development of such religious concepts.…”
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DEVELOPMENT OF A SCIENTIFIC LITERACY INSTRUMENT BASED ON RIAU MALAY ETHNOSCIENCE IN SCIENCE SUBJECTS by Delfa Vioni Amalia, Aldeva Ilhami, Sa’diyatul Fuadiyah, Afdhal Kusumanegara

“…One effort that can be made to improve students' science literacy is by incorporating local wisdom into learning assessments. The aim of this research is to determine the validity, practicality, and effectiveness of a science literacy instrument based on Riau Malay ethnoscience. …”
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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

“…To address this issue, we propose a detection method based on stacked ensemble learning that combines convolutional neural network (CNN) and extreme gradient boosting (XGBoost) to detect spoofing signals in the GPS data received by UAVs. …”
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The Nested Knowledge System of TPACK: A Case Study on Physics Teachers' Educational Resource Selection and Integration by Bassel Chazbeck, Zalpha Ayoubi

“…Moreover, the context of the teaching-learning process reshapes the teacher's knowledge about students' understanding, which is the only knowledge that shows inconsistency between intended and operational practice. …”
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Topic Detection and Tracking Techniques on Twitter: A Systematic Review by Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad-Ali Balafar, Cina Motamed

“…We also address deep learning-based methods.…”
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Ontology-based prompt tuning for news article summarization by A. R. S. Silva, Y. H. P. P. Priyadarshana

“…Despite the progress in natural language processing (NLP) and machine learning, existing methods often rely on extractive summarization, which lacks the ability to generate coherent and contextually rich summaries. …”
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Human-Inspired Gait and Jumping Motion Generation for Bipedal Robots Using Model Predictive Control by Zhen Xu, Jianan Xie, Kenji Hashimoto

“…Currently, methods based on hybrid zero dynamics and reinforcement learning have been employed to enhance the walking and hopping capabilities of humanoid robots; however, model predictive control (MPC) presents two significant advantages: it can adapt to more complex task requirements and environmental conditions, and it allows for various walking and hopping patterns without extensive training and redesign. …”
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Wavelet Correlation Feature Scale Entropy and Fuzzy Support Vector Machine Approach for Aeroengine Whole-Body Vibration Fault Diagnosis by Cheng-Wei Fei, Guang-Chen Bai

“…Through the diagnoses of four vibration fault modes and the comparison of the analysis results by four methods (SVM, FSVM, WESE-SVM, WCFSE-FSVM), it is shown that the WCFSE-FSVM method is characterized by higher learning ability, higher generalization ability and higher anti-noise ability than other methods in aeroengine whole-vibration fault analysis. …”
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Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction by Alberto Gonzalez-Sanchez, Juan Frausto-Solis, Waldo Ojeda-Bustamante

“…The results show that ANNs are more consistent in the best attribute subset composition between the learning and the training stages, obtaining the lowest average RRSE (86.04%), lowest average RMAE (8.75%), and the highest average correlation factor (0.63).…”
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Body Surface Potential Mapping: A Perspective on High‐Density Cutaneous Electrophysiology by Ruben Ruiz‐Mateos Serrano, Dario Farina, George G. Malliaras

“…To mitigate this, two strategies are outlined: observational transformations that reconstruct signal sources for intuitive comprehension, and machine learning‐driven diagnostics. BSP mapping offers significant advantages in cutaneous electrophysiology with respect to classic electrophysiological recordings and is expected to expand into broader clinical domains in the future.…”
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Application Study of Sigmoid Regularization Method in Coke Quality Prediction by Shaohong Yan, Hailong Zhao, Liangxu Liu, Qiaozhi Sang, Peng Chen, Jie Li

“…A regularized network training method based on Sigmoid function is designed considering that redundancy of network structure may lead to the learning of undesired noise, in which weights having little impact on performance and leading to overfitting are removed in terms of computational complexity and training errors. …”
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Surgical procedures and techniques in robot-assisted retrograde para-aortic lymphadenectomy by Xinyou Wang, Jing Na, Ya Li, Shichao Han, Jun Wang

“…Precise surgical techniques contribute to standardizing and optimizing surgical procedures, thereby facilitating the learning process. Trial registration: No trial involve.…”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…Version 5 of You Only Look Once (YOLO), a precisely optimized learning model, has undergone extensive testing on steel strip datasets, providing effective solutions for recognition and detection in industry environments. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Future research will explore edge computing, multi-agent reinforcement learning, and real-time data integration to further enhance scalability and adaptability.…”
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Autonomous Landing Guidance for Quad-UAVs Based on Visual Image and Altitude Estimation by Lingxia Mu, Shaowei Cao, Youmin Zhang, Xielong Zhang, Nan Feng, Yuan Zhang

“…A double-layered nested marker is designed to ensure that the marker can be captured both in high and low altitudes. A deep learning-based marker detection method is designed where the intersection of union is replaced by the normalized Wasserstein distance in the computation of non-maximum suppression to improve the detection accuracy. …”
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Emotional responses of college students to filtered fluorescent lighting in a classroom (v3) by Hon K. Yuen, Anna L. Wood, Jane E. Krentel, Robert A. Oster, Anthony D. Cunningham, Gavin R. Jenkins

“…# Background Classroom lighting, usually bright fluorescent light, can significantly influence the learning environment and emotions of students. # Objective To assess the emotional impact of classroom lighting on students during an academic year…”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. Common examples of PLQ penalties include least squares, Huber, Vapnik, 1-norm, and their asymmetric generalizations. …”
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