Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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Interannual variability in thermal state of the upper mixed layer in the Bering Sea in winter by V. A. Luchin

“…A statistically significant linear trend to warming is detected for the time coefficient of the 1st EOF in the period of 1958–2022. …”
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Exploring the biodiversity of cetacean communities along the western North Atlantic Ocean shelf-break by Samara Haver, Peter Corkeron, Annamaria DeAngelis, Simone Baumann-Pickering, Danielle Cholewiak, Genevieve Davis, Kaitlin Frasier, Natalie Posdaljian, Macey Kadifa, Alba Solsona-Berga, Annabel Westell, Sofie Van Parijs

“…Passive acoustic monitoring (PAM) is a tool for observing ocean environments, and coupled with species-specific detectors and classifiers can provide information about cetacean communities. …”
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A 20 m spatial resolution peatland extent map of Alaska by Mark J. Lara, Roger Michaelides, Duncan Anderson, Wenqu Chen, Emma C. Hall, Caroline Ludden, Aiden I. G. Schore, Umakant Mishra, Sarah N. Scott

“…Ground-data were used to train machine learning classifiers to detect peatlands using a fusion of Sentinel-1 (Dual-polarized Synthetic Aperture Radar), Sentinel-2 (Multi-Spectral Imager), and derivatives from the Arctic Digital Elevation Model (ArcticDEM), that were spatially constrained by a peatland suitability model. …”
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Adaptive Outdoor Cleaning Robot with Real-Time Terrain Perception and Fuzzy Control by Raul Fernando Garcia Azcarate, Akhil Jayadeep, Aung Kyaw Zin, James Wei Shung Lee, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…A 128-channel LiDAR sensor captures signal intensity images, which are processed by a ResNet-18 convolutional neural network to classify floor types as wood, smooth, or rough. Simultaneously, pitch angles from an onboard IMU detect terrain inclination. …”
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Location-Aware Ambient Sound Model Adaptation for On-Device Human Activity Recognition in Living Spaces by Cheolhwan Lee, Homin Kang, Soon Ju Kang

“…Human activity recognition (HAR) using sound-based approaches provides a non-intrusive and practical solution for detecting and classifying human activities in real-world environments. …”
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Urban Landscape Recovery and LULC Analysis: A Deep Learning Approach to Post-Extreme Rainfall Impacts in Dubai by X. Hong

“…By integrating Sentinel-2-derived land use and land cover (LULC) data to refine the training dataset, a high-accuracy U-Net model was developed through transfer learning that effectively classified pre- and post-rainfall LULC. Post-rainfall LULC change detections indicate that 23.8 km² of land was flooded, which is equivalent to about 10 times the area of Downtown Dubai. …”
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Events and event records (scoring and penalties) across temporal units in elite judo contests: implications for tactical preparation by Xurxo Dopico-Calvo, Luis Santos, Eduardo Carballeira, Xian Mayo, Bayram Ceylan, Jožef Simenko, Marta Sevilla-Sanchez, Eliseo Iglesias-Soler

“…Conclusion: This research provides comprehensive insights into the dynamics of elite judo contests, informing professionals on the nuanced strategies needed for male and female judo athletes. …”
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Genomic evolution, antimicrobial resistance, and dissemination of global Serratia spp. unveil increasing species diversity and carbapenemae‑resistance: A retrospective and genomic... by Wentao Zhu, Xi Chen, Hong Shen, Ming Wei, Li Gu, Qian Liu

“…These resistant isolates were first identified in 1970, sporadically detected before 2010, and have increased rapidly since 2011. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The purpose of HAR is to recognize, detect and classify human activities. Human activity recognition is one of the important technologies for monitoring a person's dynamism so that it can be utilized in various ways. …”
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Alterations to water quality and quantity elicit similar stream fish functional trait responses in three North American rivers by N.S. Santee, K.W. Conway, W.H. Nowlin, D. Smith, J.S. Perkin

“…Fishes using gravel substrates declined as flows were depleted and polluted, but increased after flow homogenization caused by dam construction, perhaps because of altered sediment dynamics. Although the magnitudes and thresholds for change in strategist richness we identify here are specific to the rivers we studied, the emergent themes of consistency in responsiveness and directionality suggest (1) the strategists richness metric and (2) traits related to trophic ecology, life history, and habitat use might be useful indicators for detecting and measuring ecological change in other river systems.…”
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Enhancing the Precision of Mangrove Area Estimation by Incorporating Canopy Gaps in UAV Methodologies by M. A. Muqorrabin, R. Alwi, N. Nurdin, N. Nurdin

“…Conducted in the Lantebung & Untia Mangrove Tourism Area, South Sulawesi, Indonesia, the research employed UAV-based high-resolution RGB imagery to classify mangrove species and detect canopy gaps. Field validation and OBIA classification were used to improve accuracy, resulting in a refined methodology for calculating mangrove area while accounting for canopy gaps. …”
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Unravelling interdisciplinary interactions and researcher migration across the evolution of perovskite solar cell research through comprehensive bibliometrics by Jun-Seok Yeo, A-Ram Kim

“…We initially identified individuals who published 10 or more HCPs between 2009 and 2021, classifying them as PeSC highly cited researchers (PeSC-HCRs). …”
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Milking System Changeover and Effects Thereof on the Occurrence of Intramammary Infections in Dairy Cows by Pauline Katthöfer, Svenja Woudstra, Yanchao Zhang, Nicole Wente, Franziska Nankemann, Julia Nitz, Jan Kortstegge, Volker Krömker

“…Pathogen species were detected using matrix-assisted laser desorption ionisation time-of-flight, and the infection dynamics were analysed using two Poisson regression models. …”
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Radiation situation on the territories of the Leningrad Region affected by the Chernobyl accident by G. Ya. Bruk, A. B. Bazyukin, A. A. Bratilova, O. A. Istorik, L. A. Eremina

“…In accordance with this Directive, in the Leningrad region 29 settlements were classified as zones of radioactive contamination. This article describes the dynamics of changes in the radiation situation and its current state in the territories of the Leningrad Region affected by the Chernobyl accident. …”
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Population genetic analysis of clinical Mycobacterium abscessus complex strains in China by Xiangchen Li, Xiangchen Li, Yelei Zhu, Yewei Lu, Kunyang Wu, Yang Che, Xiaomeng Wang, Weixin Wang, Junli Gao, Junshun Gao, Zhengwei Liu, Zhengwei Liu, Zhuxian Zhou

“…An acquired erm(46) gene, likely obtained via phage-mediated horizontal gene transfer, was detected in one MabA strain.ConclusionThis study provides key genetic insights into the dynamics of MABC in China. …”
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Comparative analysis of information on radiation accidents in the Russian Federation in 2010–2022 by A. V. Gromov, R. R. Akhmatdinov, A. M. Biblin, O. E. Tutelyan

“…In five regions, a range of more than 50 cases was detected; the coefficient of variation in the number of radiation accidents between sources exceeded 33% in 53 subjects. …”
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Safety of creatine supplementation: a scientometrics analysis on the impact of the ‘Creatine For Health’ initiative and introduction to CREAS by Diego A. Bonilla, Drew E. Gonzalez, Gustavo Humeres, Jisun Chun, Kelly Hines, Adriana Gil, Richard B. Kreider

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Una red neuronal binaria para la identificación de mecanismos isomorfos. // A binary Neural network for identifying isomorphic mechanisms. by G. Galán Marín, J. M. del Castillo Granados

“…Some authors have<br />concluded that, in the general case, the traditional methods of detecting kinematic chain isomorphism have<br />been not found to be an efficient solution of the kinematic chain isomorphism problem, classified as NP-hard.…”
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