Effects of a 12-Week Semi-Immersive Virtual Reality-Based Exercise Program on the Quality of Life of Older Adults Across Different Age Groups: A Randomized Controlled Trial by Li-Ting Wang, Yu-Wen Wang

“…Aging may affect quality of life (QOL). This study aimed to evaluate the impact of semi-immersive VR-based exercise on the QOL of young-old and middle-old adults. …”
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Generative Image Steganography via Encoding Pose Keypoints by Yi Cao, Wentao Ge, Chengsheng Yuan, Quan Wang

“…Each generated sequence is drawn as a keypoint connectivity graph, which serves as input with an original image to a trained pose-guided person image generation model (DPTN-TA) to generate an image with the target pose. …”
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Feature Fusion Model Using Transfer Learning and Bidirectional Attention Mechanism for Plant Pipeline Leak Detection by Yujin Han, Yourak Choi, Jonghyuk Lee, Ji-Hoon Bae

“…The aging of power plant pipelines has led to significant leaks worldwide, causing environmental damage, human safety risks, and economic losses. …”
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Interviews with multimedia comics creators—how Hannah Berry, Lance Dann and Tom McNally use audio drama to move their work into new areas of storytelling by Alex Fitch

“…Each aspect is designed to complement each other to tell a larger story within the science-fictional world of the narrative, aimed at introducing children to ideas of kindness and resilience, and first created during Covid lockdowns. …”
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Improved Localization and Recognition of Handwritten Digits on MNIST Dataset with ConvGRU by Yalin Wen, Wei Ke, Hao Sheng

“…Video location prediction for handwritten digits presents unique challenges in computer vision due to the complex spatiotemporal dependencies and the need to maintain digit legibility across predicted frames, while existing deep learning-based video prediction models have shown promise, they often struggle with preserving local details and typically achieve clear predictions for only a limited number of frames. In this paper, we present a novel video location prediction model based on Convolutional Gated Recurrent Units (ConvGRU) that specifically addresses these challenges in the context of handwritten digit sequences. …”
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A Comparative Study of Convolutional Neural Network and Transformer Architectures for Drone Detection in Thermal Images by Gian Gutierrez, Juan P. Llerena, Luis Usero, Miguel A. Patricio

“…However, drone detection in thermal imaging is a challenging task due to specific factors such as thermal noise, temperature variability, or cluttered environments. …”
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A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

“…To address these challenges, a decentralized, federated learning framework has been proposed for early pneumonia detection in chest X-ray images with a 5-client architecture. …”
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Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors by Abdulrahman Alkurdi, Jean Clore, Richard Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

“…The effectiveness of feature-based and end-to-end machine learning models for anxiety detection was evaluated under varying conditions of Gaussian noise. By adding synthetic Gaussian noise to a well-known open access affective states dataset collected with commercially available wearable devices (WESAD), a performance baseline was established using the original dataset. …”
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Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting by Yujun Cao, Yubiao Yue, Xiaoming Ma, Di Liu, Rongkai Ni, Haihua Liang, Zhenzhang Li

“…Importantly, we developed a free smartphone app to help the public and healthcare professionals detect mpox more conveniently.…”
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Features of biology and cultivation of pikeperch (Sander lucioperca Linnaeus, 1758). Thematic bibliography by M. Simon, O. Polishchuk

“…Purpose. To provide a thematic bibliographic list of scientific publications that highlight the peculiarities of the biology and cultivation of pikeperch (Sander lucioperca Linnaeus, 1758) in Ukraine and the world.Accordingly, to combine classical and modern scientific works of domestic and foreign scientists. …”
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Improvements for the Planning Process in the Scrum Method by Miroslav Žáček, Adéla Hamplová, Jan Tyrychtr, Ivan Vrana

“…The implementation of the BeCoMe method in a real-world case study demonstrated significant improvements in task completion rates and overall project efficiency. …”
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Clinical Features and Rehabilitation Needs in Patients with Neuroinvasive West Nile Virus Infection: A Retrospective Analysis in an Area of High Incidence by Maria Chiara Maccarone, Francesco Piccione, Marina Munari, Noemi Faccin, Gianluca Regazzo, Luisa Barzon, Stefano Masiero

“…Given the scarcity of research on the rehabilitative needs of patients with WNV infection, this study aims to fill a critical gap by assessing the rehabilitation needs of a real-world cohort of WNND patients. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Leveraging self-supervised learning, DI-MDE does not require ground truth depth labels, making it scalable and applicable to real-world environments. Experimental results on standard datasets such as SUN RGB-D and KITTI demonstrate that our method achieves state-of-the-art performance, significantly improving depth prediction accuracy in dynamic scenes. …”
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An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

“…To address these challenges, we propose CrawlMLLM, a framework using multi-modal large language models to simulate human web browsing. …”
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Fibromyalgia syndrome—a bodily distress disorder/somatic symptom disorder? by Winfried Häuser, Mary-Ann Fitzcharles, Peter Henningsen

“…Objectives:. The review aims to line out the new perspectives introduced by the 11th version of the International Classification of Diseases (ICD 11) of the World Health Organization (WHO). …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

“…This study addresses this gap by employing an artificial neural network (ANN) methodology based on Francine Shapiro’s Adaptive Information Processing (AIP) model. …”
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Estimating the influential impact share of reducing household energy consumption across different sectors aimed at increasing cumulative profits in Iran: A non-linear programming o... by Ali Abbasi Godarzi, Khadijeh Abdi Rokni

“… Energy intensity is one of the most important energy feature that has a dramatic value in energy system of Iran. Indeed, Iran is one of the most energy intensive countries in the world and its main reason is related to high energy consumption in household section. …”
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FD-YOLO: A YOLO Network Optimized for Fall Detection by Hoseong Hwang, Donghyun Kim, Hochul Kim

“…The proposed Fall Detection YOLO (FD-YOLO) network, developed by integrating the Swin Transformer and GAM into YOLOv9, achieved a high mAP@0.5 score of 0.982 and recorded only 134 missed fall incidents, demonstrating optimal performance. …”
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Integrating Radar-Based Obstacle Detection with Deep Reinforcement Learning for Robust Autonomous Navigation by Nabih Pico, Estrella Montero, Maykoll Vanegas, Jose Miguel Erazo Ayon, Eugene Auh, Jiyou Shin, Myeongyun Doh, Sang-Hyeon Park, Hyungpil Moon

“…This study presents an approach to autonomous navigation for wheeled robots, combining radar-based dynamic obstacle detection with a BiGRU-based deep reinforcement learning (DRL) framework. …”
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Reliability-Based Design of Solid and Nail-jointed I-Section of Nigerian-Grown African Birch (<i>Anogeissus leiocarpus</i>) Timber Column by U.N. Wilson, A.A. Adedeji, F.O.P. Oriola, J.A. Alomaja, J.E. Sani

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