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Showing 1,241 - 1,260 results of 5,106 for search '((((rates OR rates) OR rates) OR rates) OR gate) and patterns', query time: 0.14s Refine Results
  1. 1241

    The Current Status and Influencing Factors of Multiple Chronic Conditions among the Elderly Aged 60 and above in Gansu Province by ZHU Xianshang, ZENG Hongyu, LYU Fengli, WANG Jiancheng

    Published 2025-04-01
    “…In the end, 19 038 valid questionnaires were collected, and the effective questionnaire recovery rate was 95.19%. Results The prevalence rate of chronic diseases among the elderly in Gansu Province was 74.78% (14 236/19 038), and the incidence rate of multiple chronic conditions was 38.97% (7 419/19 038). …”
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  2. 1242

    A Linear Differentiation Scheme for Camouflaged Target Detection using Convolution Neural Networks by Jagadesh Sambbantham, Gomathy Balasubramanian, Rajarathnam, Mohit Tiwari

    Published 2023-12-01
    “…The pattern distributions are monotonous due to similar pixels and non-contrast regions. …”
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  3. 1243

    Identifying patterns of health care utilisation among physical elder abuse victims using Medicare data and legally adjudicated cases: protocol for case–control study using data lin... by Tony Rosen, Yuhua Bao, Yiye Zhang, Sunday Clark, Katherine Wen, Alyssa Elman, Philip Jeng, Elizabeth Bloemen, Daniel Lindberg, Richard Krugman, Jacquelyn Campbell, Ronet Bachman, Terry Fulmer, Karl Pillemer, Mark Lachs

    Published 2021-02-01
    “…Preliminary research suggests elder abuse victims may have different patterns of healthcare utilisation than other older adults, with increased rates of emergency department use, hospitalisation and nursing home placement. …”
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  4. 1244
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  8. 1248

    Impaired degree centrality and effective connectivity contributed to deficits in cognition and depression in patients with temporal lobe epilepsy by Bailing Qin, Shujun Su, Xuemei Chen, Yuting Sun, Qin Zhou, Huoyou Hu, Lu Qin, Jinou Zheng

    Published 2025-07-01
    “…Using degree centrality (DC), effective connectivity (EC), and multivariate pattern analysis (MVPA), we aimed to reveal alterations in brain networks and investigate neurofunctional symptoms in TLE patients. …”
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    Optimizing the automated recognition of individual animals to support population monitoring by Tijmen A. deLorm, Catharine Horswill, Daniella Rabaiotti, Robert M. Ewers, Rosemary J. Groom, Jessica Watermeyer, Rosie Woodroffe

    Published 2023-07-01
    “…Abstract Reliable estimates of population size and demographic rates are central to assessing the status of threatened species. …”
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  12. 1252

    Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

    Published 2025-05-01
    “…A major challenge for sports coaches and analysts is to identify critical elements of athletes’ movement patterns. A potentially relevant tool is machine learning, useful because of its ability to extract patterns from data. …”
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  13. 1253

    The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

    Published 2025-06-01
    “…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. …”
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  14. 1254
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    Ex Vivo Comparison of a UV-Polymerizable Methacrylate Adhesive versus an Inverting Pattern as the Second Layer of a Two-Layer Hand-Sewn Jejunal Anastomosis in Horses: A Pilot Study by Augustin Lenoir, Bertrand R. M. Perrin, Olivier M. Lepage

    Published 2021-01-01
    “…Several methods are available to reduce the rate of adhesions in the postoperative period, such as the use of serosal barriers. …”
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  20. 1260

    Response of land cover to multi-scale spatial effects in complex karst mountainous areas by Qingqing Dai, Zhongfa Zhou, Denghong Huang, Yue Yang, Huanhuan Lu, Ya Li

    Published 2025-12-01
    “…This study reveals the influence of spatial scale effects on land cover classification in karst regions from the perspectives of landscape patterns and topographic complexity. The research indicates:(1) When the spatial resolution increases from 5m to 30m, the study area exhibits trends of reduced landscape fragmentation, concentrated land use distribution, and decreased landscape heterogeneity;(2) Scale effects vary among land cover types, with the variations in PD, LSI and AI for construction land exceeding those of the corresponding indices for other land cover types;(3) The decline rates of PD in low and high topographic complexity areas are 49.87% and 37.69% respectively, LSI decline rates are 31.88% and 8.81%, and AI decline rates are 23.70% and 11.32%.…”
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