Neural Image Compression and Explanation by Xiang Li, Shihao Ji

“…Explaining the prediction of deep neural networks (DNNs) and semantic image compression are two active research areas of deep learning with a numerous of applications in decision-critical systems, such as surveillance cameras, drones and self-driving cars, where interpretable decision is critical and storage/network bandwidth is limited. …”
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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…The urgent requirement to monitor and identify unmanned aerial systems (UASs) within restricted airspace has become increasingly critical. Traditional methods fail to detect low-observable (LO) UASs effectively, thus presenting considerable threats in defense and civil sectors. …”
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Detecting emotional disorder with eye movement features in sports watching by Wei Qiang, Wei Qiang, Lin Yang, Xucheng Zhang, Na Liu, Yanyong Wang, Jipeng Zhang, Yixin Long, Weiwei Xu, Wei Sun

“…However, their adoption for long-term monitoring remains limited due to reliance on fixed testing formats and active user participation. This study introduces a novel approach utilizing common ball game videos–table tennis–to implicitly capture eye movement trajectories and identify EmD through natural viewing behavior.MethodsAn eye movement data collection system was developed using VR glasses to display sports videos while recording participants' eye movements. …”
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GCOANet: A gradient consistency constraints semi-supervised network for optical image-assisted SAR despeckling by Yang Yang, Jun Pan, Jiangong Xu, Zhongli Fan, Zeming Geng, Junli Li

“…Synthetic Aperture Radar (SAR), as an active remote sensing technology with all-weather and all-time capabilities, plays an essential role in environmental monitoring and disaster management. …”
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Using actigraphy to assess sleep characteristics by G. A. Trusov, A. V. Korobeinikova, L. V. Getmantseva, S. Yu. Bakoev, A. N. Lomov, A. A. Keskinov, V. S. Yudin

“…This has led to the development of circadian medicine, which focuses on using knowledge of physiological rhythms to optimize treatment and  diagnostic methods. Our article highlights the  role of  actigraphy, a non-invasive method for assessing sleep-wake cycles, in the study and diagnosis of  sleep. …”
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Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study by Jiani Liu, Xin Zhang, Wei Li, Francis Manyori Bigambo, Dandan Wang, Xu Wang, Beibei Teng

“…The Shapley additive explanation (SHAP) method was subsequently employed to prioritize factor importance and refine the final model. …”
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Pengembangan Media Pembelajaran berbasis Website Berdasarkan Gaya Belajar dan Prinsip Universal Design of Learning (UDL) untuk Mata Pelajaran Desain Grafis Percetakan di SMK Negeri... by Yafie Arbian Cipto, Admaja Dwi Herlambang, Faizatul Amalia

“…The development of this learning media uses the waterfall method with the stages of analysis, design, implementation, and testing. …”
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Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies by Hannah Riley Knight, Marie Kim, Nisha Kannan, Hannah Taylor, Hailey Main, Emily Azcue, Aaron Esser-Kahn

“…To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer research questions and address clinical applications. …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…However, recent studies have shown that the activation functions of neurons in a network exhibit asymmetry for different categories, which results in the learning of task-irrelevant features while attempting to learn task-related features (called “feature contamination”). …”
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THE EFFECT OF THERAPEUTIC RIDING ON SOME MOTOR SKILLS IN CHILDREN WITH ASPERGER'S SYNDROME by N. Gencheva, D. Stefanova, M. Angelcheva

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Cuproptosis-related signature and immune infiltration in age-related macular degeneration by Chen Li, Yi-Cheng Lu, Ming-Xuan Chen

“…RESULTS: Six genes, including ATP7A, DBT, VEGFA, UBE2D3, CP, SLC31A1, were screened as cuproptosis-signature in AMD via three machine learning methods. Next, SLC31A1 and VEGFA was selected as hub genes by performance evaluation in an external dataset GSE160011, further analysis showed that SLC31A1 and VEGFA were associated with pathways related to immune signaling and immune function, which were then observed in relation to infiltrating immune cells. …”
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Reduced threat-safety discrimination and generally enhanced generalization responses in adversity exposed youth with emerging psychiatric symptoms by Zhiling Qiao, Celine Samaey, Lise Jennen, Victor Mazereel, Davy Vancampfort, Bart Boets, Ruud van Winkel

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Enhanced Collaborative Filtering: Combining Autoencoder and Opposite User Inference to Solve Sparsity and Gray Sheep Issues by Lamyae El Youbi El Idrissi, Ismail Akharraz, Aziza El Ouaazizi, Abdelaziz Ahaitouf

“…Inspired by the remarkable success of deep learning across a multitude of application areas, we have integrated deep learning techniques into our proposed method to effectively address the aforementioned challenges. …”
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Optimizing treatment for depression in primary care using psychotherapy versus antidepressant medication in a low-resource setting: protocol for the OptimizeD randomized controlled... by Julia R. Pozuelo, Anuja Lahiri, Rahul S. P. Singh, Arvind Kushwah, Mimansa Khanduri, Akanksha Shukla, Azaz Khan, Sruthi G., Varun Shende, Yashika Parashar, Yashwant K. Mehra, Anant Bhan, Ronald C. Kessler, Daisy R. Singla, John A. Naslund, Karmel W. Choi, Pim Cuijpers, Robert DeRubeis, Mohammad M. Herzallah, Chunling Lu, Jordan W. Smoller, Tyler J. VanderWeele, Abhijit R. Rozatkar, Tamonud Modak, Michelle Melwyn Joel, Debasis Biswas, Shubham Atal, Umay Kulsum, Steven D. Hollon, Vikram Patel

“…Methods We plan to randomize 1,500 patients with moderate to severe depression (defined as a Patient Health Questionnaire [PHQ-9] score ≥ 10) from primary healthcare settings in Bhopal, India, with equal allocation either to a culturally adapted behavioral activation therapy delivered by trained counselors (Healthy Activity Program) or to antidepressant medication (fluoxetine). …”
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Strategies for enhancing the quality of virtual education: perspectives of medical sciences faculty and students - a qualitative study by Maryam Saeedi, Marzieh Panahi

“…Data were collected via semi-structured individual and focus group interviews and analyzed using the Graneheim and Lundman method. Results The findings revealed two main categories: instructor-related strategies, including regular and scheduled teaching, engaging content design, alignment with in-person learning, effective virtual assessment, standardized assignments, active student engagement, and constructive interaction with students; and managerial/organizational strategies, including monitoring faculty teaching quality, empowering faculty members, supporting low-income students, and improving infrastructure. …”
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Optimizing the strategy of new media content distribution using fuzzy logic by Jianhua Qi, Jing Lin

“…Experimental results show that the fuzzy logic optimization strategy is significantly better than the traditional method in key performance indicators such as click-through rate (CTR), distribution success rate, and system response time, especially during the user active period, the CTR improvement is particularly obvious. …”
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An Educative Systemic Solution to COVID-19 Pandemic by Francisco Atl Aceves-Bernal, Jorge Rojas-Ramírez, Francisco Javier Aceves-Hernández

“…A Sustainable Systemic Health diploma course has been created and taught online during the 2020-2021 scholar year to students who learned about the following themes: 1- Health in Mexico and the world, 2- Food and Nutrition, 3- Physical Activity, 4- Hygienic Habits, 5- Systemic Health, and 6- Final work, where the students wrote a personal Healthy Habits Handbook, with the purpose of helping them to apply the healthy recommendations of this diploma course. …”
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Perception of Space in the Traditional and Virtual Classroom by T. G. Nikitina

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Validity and Reliably Test: An Analysis of Students’ Comprehension and Skill in Applied Physics by Melly Angglena, Fhandy Pandey

“…Factors supporting this improvement include students active engagement in the learning process, the use of technology in simulations, and more interactive and contextual teaching methods. …”
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A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…Several sections, e.g., data acquisition, learning model, hidden layers, nodes, activation function, and data bandwidth, are designed to make the RNN‐based learning method establish the overall dynamic model of the robot manipulators. …”
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