The system of atmosphere, land, ice and ocean in the region near the 79N Glacier in northeast Greenland: synthesis and key findings from the Greenland Ice Sheet–Ocean Interaction (... by T. Kanzow, T. Kanzow, A. Humbert, A. Humbert, T. Mölg, M. Scheinert, M. Braun, H. Burchard, F. Doglioni, P. Hochreuther, M. Horwath, O. Huhn, M. Kappelsberger, J. Kusche, E. Loebel, K. Lutz, B. Marzeion, B. Marzeion, R. McPherson, M. Mohammadi-Aragh, M. Mohammadi-Aragh, M. Möller, M. Möller, C. Pickler, M. Reinert, M. Rhein, M. Rhein, M. Rückamp, M. Rückamp, J. Schaffer, J. Schaffer, M. Shafeeque, M. Shafeeque, S. Stolzenberger, R. Timmermann, J. Turton, J. Turton, C. Wekerle, O. Zeising

“…Observations and models employed in this study are consistent in terms of melt rates occurring below the floating ice tongue. Our results suggest that the multidecadal warming of Atlantic Intermediate Water flowing into the cavity below the ice tongue – supplied by the recirculating branch of the West Spitsbergen Current in Fram Strait – is the main driver of the recent major increase in basal melt rates. …”
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Development of approaches to the evaluation of pharmacotherapy effectiveness for chronic hepatitis C by I. A. Narkevich, E. A. Tsitlionok

“…Objective: to analyse the consumption pattern of antiviral therapy (AVT) for chronic hepatitis C on the example of an infectious hospital.Material and methods. …”
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Levels and types of physical activity in Russia according to the ESSE-RF study: is there a trace of the COVID-19 pandemic? by M. B. Kotova, S. A. Maksimov, S. A. Shalnova, A. V. Kontsevaya, Yu. A. Balanova, A. E. Imaeva, V. A. Kutsenko, G. A. Muromtseva, N. S. Karamnova, S. E. Evstifeeva, A. V. Kapustina, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. D. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radjabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, E. A. Naumova, A. A. Keskinov, V. S. Yudin, S. M. Yudin, O. M. Drapkina

“…Compared to the urban population, rural residents have higher physical activity rates (23,9 vs 20,3%, p<0,001). The proportion of people with high physical activity is also higher among people with higher income levels (p<0,001). …”
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Valley-filling Potential Evaluation of Urban Public Charging Stations Based on Price Incentive by Dawei SU, Yihui FAN, Tianhui ZHAO, Hongjin PAN, Youhui HUANG, Gang WANG, Yongyong JIA

“…Then, the typical load characteristic indicators including valley-period and flat-period load rates are proposed, and the charging load valley-filling potential evaluation parameters are introduced to carry out valley-filling potential evaluation of urban public charging stations. …”
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Gut Microbiota Contribute to Heterosis for Growth Trait and Muscle Nutrient Composition in Hybrid Largemouth Bass (<i>Micropterus salmoides</i>) by Jixiang Hua, Qingchun Wang, Yifan Tao, Hui Sun, Siqi Lu, Yan Zhuge, Wenhua Chen, Kai Liu, Jie He, Jun Qiang

“…Growth, digestive enzyme activity, and muscle nutrient composition were compared between the hybrid groups (NC and CN) and the purebred groups (NN and CC), and the gut microbiota was investigated. The heterosis rates of body length, body height, and body thickness in hybrid largemouth bass were statistically significant. …”
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Timing matters! Academic assessment changes throughout the day by Carmelo M. Vicario, Michael A. Nitsche, Chiara Lucifora, Pietro Perconti, Mohammad A. Salehinejad, Mohammad A. Salehinejad, Mohammad A. Salehinejad, Francesco Tomaiuolo, Simona Massimino, Alessio Avenanti, Alessio Avenanti, Massimo Mucciardi

“…Our results demonstrate a Gaussian distribution of passing rates throughout the day, with a significant peak at midday. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Coping and positive mental health in Canada among youth and adults: findings from a population-based nationally representative survey by Mihojana Jhumi, Laura L. Ooi, Karen C. Roberts, Melanie Varin

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Evaluating the efficacy of Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis (iBEAT-OA) in the community: a study protocol for a randomised controlled trial by Abhishek Abhishek, Sameer Akram Gohir, Paul Greenhaff, Ana M. Valdes

“…The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). …”
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Subjective Performance Expectations From and Demographic and Categorical Differences in the Acceptance of Virtual Reality or AI Technologies in Rehabilitation Programs: Cross-Secti... by Guido Waldmann, Dominik Raab

“…A significant rank correlation was observed for 103 out of 105 pairwise comparisons of the therapeutic fields, with distinct patterns of effects sizes within the chosen categories. …”
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Autism spectrum disorder – the fight of the public against a disease it fails to understand by Minahel Ahmed, Eman Sikandar, Arysha Javid

“…Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. …”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…Moreover, in RPD patients, the Unified Parkinson’s Disease Rating Scale Part III score showed a negative correlation with the left ALPS index and with AI. …”
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Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management.…”
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Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition by A. Pohle, K. Stevens, R. Hoffmann, A. Immenhauser, A. Immenhauser

“…We used comparative Bayesian phylogenetic tools to reconstruct ancestral states and phenotypic evolutionary rates of these geochemical data based on trees inferred from morphological data. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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