Platform Technology for Extended Reality Biofeedback Training Under Operant Conditioning for Functional Limb Weakness: Protocol for the Coproduction of an at-Home Solution (React2H... by Anirban Dutta, Abhijit Das

“… BackgroundFunctional neurological disorder (FND), including functional movement disorders (FMDs), arises from disruptions in the perception-action cycle, where maladaptive cognitive learning processes reduce the sense of agency and motor control. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…To address this issue and enhance the accuracy and operational efficiency of power transformer fault diagnosis models, this paper presents a novel fault diagnosis model that integrates Neighborhood Component Analysis (NCA) and k-Nearest Neighbor (KNN) learning, with the incorporation of correction factors.MethodsThe methodology begins by introducing a correction factor into the objective function of the NCA algorithm to reduce the impact of sample imbalance on model training. …”
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Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Pr... by Linda Marie Rinehart, Justin Anker, Amanda Unruh, Nikki Degeneffe, Paul Thuras, Amie Norden, Lilly Hartnett, Matt Kushner

“…ResultsWhile the development of the digital intervention was successful, the timeline was approximately double that projected (1 vs 2 years) due to false starts and inefficiencies that we describe, including lessons learned. Functional testing of the newly developed digital intervention showed that, on average, patients rated the user experience in the upper (favorable) 20% of the response scales. …”
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Programa pedagógico basado en juegos sociomotrices para el desarrollo de las funciones ejecutivas en preescolares (Pedagogical program based on sociomotor games for the development... by Diana Milena Bedoya Salazar, Cesar Augusto Mazuera Quiceno, Ángela Patricia Arteaga

“…Finally, it was evidenced that the transversal pedagogical program supported on socio-motor games enhanced executive functioning, which has a direct relationship with better cognitive, socio-affective and learning processes. …”
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Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

“…By employing a novel multi-scale loss function and a new similarity measure, the framework effectively learns ship patterns by minimizing sample distances within the same category and maximizing distances between samples of different categories. …”
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An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data by Huiyu Zhao, Chuang Miao, Yidi Zhu, Yijun Shu, Xiangsong Wu, Ziming Yin, Xiao Deng, Wei Gong, Ziyi Yang, Weiwen Zou

“…The ensemble learning strategy is employed to fuse multi-modality data and obtain the final classification result. …”
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A Survey on Waveform Design for Radar-Communication Convergence by Ashoka Chakravarthi Mahipathi, Bethi Pardhasaradhi, Purushottama Lingadevaru, Pathipati Srihari, John D'Souza, Linga Reddy Cenkeramaddi

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Enhancing Atmospheric Turbulence Phase Screen Generation with an Improved Diffusion Model and U-Net Noise Generation Network by Hangning Kou, Min Wan, Jingliang Gu

“…The model effectively captures the statistical distribution of turbulence phase screens using small training datasets. A refined loss function incorporating the structure function enhances accuracy. …”
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Effects of opium on hippocampal-dependent memory, antioxidant enzyme levels, oxidative stress markers, and histopathological changes of rat hippocampus by Ebrahim Abbasi, Fatemeh Mirzaei, Sodabeh Mashayekhi, Iraj Khodadadi, Alireza Komaki, Nafiseh Faraji, Seyed Alireza Vafaii

“…Opium also impaired memory and learning in animals (P < 0.05). Conclusion: Opium consumption has a detrimental effect on hippocampus function and structure.…”
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KOMUNITAS BELAJAR “QARYAH THAYYIBAH” DALAM PERSPEKTIF PENDIDIKAN PEMBEBASAN PAULO FREIRE. by Nurul Fatimah Risa Tri Rahmawati

“…From the data obtained in the study, showed that the learning process is applied in Qaryah Thayyibah based learning community agreement includes planning, implementation, and evaluation, the companion function only as a facilitator. …”
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AN ANALYSIS OF AMERICAN SLANGS AND IDIOM USED IN THE SHAWSHANK REDEMPTION MOVIE by Nofra Utama, Erni Erni, M Syarfi

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Vascular-related biological stress, DNA methylation, allostatic load and domain-specific cognition: an integrated machine learning and causal inference approach by Reem Waziry, Olajide A Williams, Henning Tiemeier, Caleb Miles

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Sharpening Students’ 21st Century Skills through Project-Based Learning in an EFL Context at Abdelhamid Ibn Badis University, Algeria by Rafik El Amine Ghobrini

“… In a fast-changing and dynamic world, students are bound to acquire core competencies to be able to function effectively in the 21st century. This research targets the implementation of Project based learning that aligns with the demands of the new technological-oriented era. …”
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Integrating Group Setup Time Deterioration Effects and Job Processing Time Learning Effects with Group Technology in Single-Machine Green Scheduling by Na Yin, Hongyu He, Yanzhi Zhao, Yu Chang, Ning Wang

“…We study single-machine group green scheduling considering group setup time deterioration effects and job-processing time learning effects, where the setup time of a group is a general deterioration function on its starting setup time and the processing time of a job is a non-increasing function on its position. …”
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The Influence of School Culture on the Motivation of High School Students in Yogyakarta by Ahmad Chandra Jaya, Eni Agustina, Agus Basuki, Putri Luthfiyah Zahra, Listriasa Jihad Insani

“…Background on school culture is one factor that influences students to increase learning motivation. A healthy school culture provides opportunities for school members to function optimally, work efficiently, be full of vitality, have high spirits, and be able to continue to grow. …”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…The first stage uses binary classification to identify road segments with potential crash occurrences, applying a customized loss function to tackle data imbalance. The second stage predicts crash frequency, also utilizing a customized loss function for count data. …”
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Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture by Ruiheng Li, Wenjie Hong, Ruiming Wu, Yan Wang, Xiaohan Wu, Zhongtian Shi, Yifei Xu, Zixu Han, Chunli Lv

“…Furthermore, this paper also conducts ablation experiments on different loss functions. The results of this research provide a new method for wheat spike counting and disease detection, fully reflecting the application value of deep learning in precision agriculture. …”
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Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…This process, termed cost function minimization using COA-jDE in a reinforcement learning framework, enhances GFM performance by adaptively adjusting virtual inertia and damping. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Background N6-methyladenine (6mA) is an important DNA methylation modification that serves a crucial function in various biological activities. Accurate prediction of 6mA sites is essential for elucidating its biological function and underlying mechanism. …”
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Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels by Tadbhagya Kumar, Anuj Kumar, Anuj Kumar, Pinaki Pal

“…Effects of various model hyperparameters, such as relative weighting of different terms in the loss function and dimensionality of the AE latent space, on the accuracy of Phy-ChemNODE are assessed. …”
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