An Epidemiological Review of the Impact of COVID-19 on Achilles Tendon Rupture Injuries, Experience from a Large London District General Hospital by Lena Al-Hilfi, Irrum Afzal, Sarkhell Radha, Mohamed Abdalla, Mohammed Al-Maiyah

“…As lockdown measures began to ease, hospitals experienced a high admission rate of patients presenting with Achilles Tendon Rupture [ATR]. …”
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…LSTM effectively captured short-term patterns but struggled with long-term dependencies, while GRU, though computationally efficient, exhibited higher error rates. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…Moreover, the combination of federated learning with basic neural network models like the Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Unit (GRU) is explored. The results indicate that integrating federated learning can greatly enhance satellite prediction, opening new possibilities for future orbital prediction and space technology development.…”
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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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Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis by Lil Meyer-Arndt, Rebekka Rust, Judith Bellmann-Strobl, Tanja Schmitz-Hübsch, Lajos Marko, Sofia Forslund, Michael Scheel, Stefan M. Gold, Stefan Hetzer, Friedemann Paul, Martin Weygandt

“…The fact that a machine learning model trained to associate fMRI fear response patterns with fear ratings in HPs predicts fear ratings from fMRI data across MS groups using an MVPA cross-decoding approach suggests that generic fear processing mechanisms substantially contribute to anxiety in MS.…”
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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…By testing simulated SECM samples, the method demonstrated a substantial reduction in the false-negative rate even with up to 75% cumulus cell contamination. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Discrepancies in tuberculosis burden estimates: North Korean defectors vs. official reports by Inho Jang, Heesang Han, Seungcheol Lee, Hyeongyeong Jeong, Rugyeom Lee, Yedham Kang, In-Hwan Oh, Seung Heon Lee, Seung Heon Lee

“…The proportion of extrapulmonary TB in NKDs was 36–46%, similar to South Korean patterns. The estimated and reported multidrug-resistant TB rates in NKDs were higher than in the control group, highlighting potential underreporting in North Korean data.ConclusionThere were large gaps in TB prevalence between NKD and native North Korean residents and between the estimated and reported TB burden within North Korea. …”
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Effectiveness of the sterile insect technique in controlling Aedes albopictus as part of an integrated control measure: evidence from a first small-scale field trial in Switzerland by Diego Parrondo Monton, Damiana Ravasi, Valentina Campana, Francesco Pace, Arianna Puggioli, Matteo Tanadini, Eleonora Flacio

“…Similar spatial trends were observed for hatch rates and adult females (P < 0.01). These findings highlight both the overall effectiveness of SIT and the influence of mosquito immigration on spatial patterns. …”
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Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

“…By integrating satellite cache states, user cache states, and multi-modal data attributes (including imagery, metadata, and temporal request patterns) into a unified Markov decision process (MDP), our approach pioneers the application of the multi-actor-attention-critic with parameter sharing (MAPPO) algorithm to ISTNs push tasks. …”
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Decoding Global Palates: Unveiling Cross-Cultural Flavor Preferences Through Online Recipes by Qing Zhang, David Elsweiler, Christoph Trattner

“…We examined flavor differences across China, the US, and Germany, as well as consistent flavor preference patterns using online recipes from prominent recipe portals. …”
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Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

“…Redundancy analysis demonstrated Anhui samples exhibited significantly higher antioxidant activity (DPPH and hydroxyl radical scavenging rates) than other regions, strongly correlating with stable low-temperature environments (annual mean temperature) and precipitation patterns. …”
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An epidemiological trend analysis of oral cancer in Korea from 2001 to 2021 by Hye-Sun Shin, Junho Choi, Yuyi Park, Uiseop Shin, Sangmyeong Kim, Dong-Hun Han

“…Age-standardized incidence and mortality rates were calculated using the direct method, with the 2000 Korean mid-year population as the standard. …”
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Trends in Antimicrobial Resistance of Canine Otitis Pathogens in the Iberian Peninsula (2010–2021) by Biel Garcias, Mar Batalla, Anna Vidal, Inma Durán, Laila Darwich

“…The AMR evolution also showed an increase in resistance patterns in <i>Proteus</i> spp. to doxycycline and <i>Streptococcus</i> spp. to amikacin. …”
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Revised Age Estimates for Northern Resident Killer Whales (Orcinus orca) Based on Observed Life‐History Events and Demographic Discounting by Andrew W. Bateman, Jessica MacLean, Eva Stredulinsky, Brianna Wright, Graeme Ellis, Thomas Doniol‐Valcroze, Chris Darimont, John K. B. Ford

“…Our age estimation approach incorporates new data from photo‐identification surveys into a framework that relies on accrued knowledge of demographic rates from known‐age individuals. We use Bayes' law to determine conditional probability distributions from age‐at‐event data, incorporating mathematical descriptions of demographic patterns parameterised from the data. …”
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Site‐Specific Impacts of Urbanisation on Annual Survival of a Forest Bird by Boglárka Bukor, Brett K. Sandercock, Karl L. Evans, Ivett Pipoly, Krisztina Sándor, András Liker, Gábor Seress

“…Survival probabilities decreased with bird age at both urban sites in most years, but such patterns were not detected at forest sites. Our results demonstrate that the impacts of aging on avian survival rates can diverge between urban and forest habitats, and that the demographic factors regulating urban populations can vary between locations. …”
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Intravesical BCG: A Double-Edged Sword? The Untold Story of Infection Risks by Orçun Barkay, Ercüment Keskin

“…<i>Background and Objectives:</i> Intravesical Bacillus Calmette-Guérin (BCG) therapy remains a cornerstone in the treatment of non-muscle-invasive bladder carcinoma due to its efficacy in reducing recurrence and progression rates. However, its use is associated with various complications—including urinary tract infections (UTIs)—which necessitates further exploration. …”
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