Showing 2,781 - 2,800 results of 3,155 for search '((((gate OR rates) OR rates) OR rates) OR rate) and patterns', query time: 0.14s Refine Results
  1. 2781

    Cervical malignant peripheral nerve sheath tumors: A case report and literature review by SUN Shuohui, LIU Qinyao, MA Junli, LI Xiao, WANG Zhifa

    Published 2024-08-01
    “…As a kind of tumor with a high degree of malignancy, the recurrence rate of MPNST is determined by the design of surgical method, the size of resection, and whether to further radiotherapy and chemotherapy after surgery.…”
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    Article
  2. 2782

    Optimization of off-centered lens parameters in high-power stimulated Brillouin-scattering phase-conjugation mirror by Hongli Wang, Hongli Wang, Chaoshuai Liu, Tianrun Jiang, Kaiyang Li

    Published 2025-07-01
    “…This study can provide valuable experimental references for the application of SBS-PCMs in high power and high-repetition rate laser systems.…”
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    Article
  3. 2783

    SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

    Published 2025-04-01
    “…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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    Article
  4. 2784
  5. 2785

    TIME SERIES MODELING OF NATURAL GAS FUTURE PRICE WITH FUZZY TIME SERIES CHEN, LEE AND TSAUR by Dodi Devianto, Aulia Zuardin, Maiyastri Maiyastri

    Published 2022-12-01
    “…The three FTS methods have good performance of accuracy for this time series data, where FTS Tsaur as fuzzy times series approach with average based method shows the best results with the smallest error rate to the data of natural gas future price.…”
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    Article
  6. 2786

    Cancer incidence over the last decade in Omsk and Orenburg regions: a descriptive study by N. G. Shirlina, A. S. Vyaltsin, V. L. Stasenko, A. V. Klimushkin

    Published 2020-06-01
    “…Average long-term standardized incidence rate of malignancies in Omsk and Orenburg regions was 276,5 0/0000 and 273,0 0/0000, respectively. …”
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    Article
  7. 2787

    Theoretical Regulations and Institutional Features of Financing Arts by N. A. Burakov, O. A. Slavinskaya

    Published 2018-12-01
    “…There have been confirmed such symptoms of Baumol’s cost disease as: labor productivity in cultural organizations lagging behind the average regional rate, super-inflationary growth for ticket prices in theaters, and catch-up wage growth in the theater in relation to the average wage level in the region. …”
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    Article
  8. 2788

    A Compact Penta-Band Low-SAR Antenna Loaded with Split-Ring Resonator for Mobile Applications by M. Manikandan, S. Karthigai Lakshmi

    Published 2022-01-01
    “…The antenna is also analyzed for the SAR (specific absorption rate) values, and it was found to be less than 2 W/kg for 10 g volume of tissue. …”
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    Article
  9. 2789

    Eradication Therapy - Recent Trend in Research by Heung Up Kim

    Published 2020-09-01
    “…However, as drug exposure increases, the resistance rate to some antibiotics increases, and the pattern of antibiotic resistance varies from region to region. …”
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    Article
  10. 2790

    MODERN ACHIEVEMENTS IN EARLY NEONATAL FEEDING OF PRETERM INFANTS by L.I. Zakharova, N.S. Kol'tsova

    Published 2010-09-01
    “…Using a special formula with prebiotics on this category of infants, therefore, provides optimal rate of body weight growth and models protein lipid metabolism in blood serum after the anabolic pattern. …”
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    Article
  11. 2791

    AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

    Published 2025-01-01
    “…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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    Article
  12. 2792

    Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

    Published 2025-05-01
    “…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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    Article
  13. 2793

    A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

    Published 2025-06-01
    “…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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    Article
  14. 2794

    Effects of Splitting Airfoil’s Aspect Ratio on the Control of Separation and Loss Distribution in a Distortion Generator by M. Hassani, M. Bazazzadeh, M. D. Manshadi

    Published 2022-01-01
    “…It has appeared that combined loss pattern of the triple arrangement of the airfoils can be reconstructed from dual arrangement, and it can be reproduced from a single pattern in a hierarchical process. …”
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    Article
  15. 2795
  16. 2796

    Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts by ChuXia Tan, Yuan Liu, Lijun Li, Ying Li, Pingting Yang, Yinglong Duan, Xingxing Wang, Huiyi Zhang, Jingying Wang, Honglian Zhang

    Published 2025-07-01
    “…Results The overall detection rate of HUA was 22.8%, and the level of serum uric acid increased significantly with age. …”
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    Article
  17. 2797

    Hymecromone Administration in Real Clinical Practice: Results of the Prospective Multicentre Observational Study in the Republic of Kazakhstan by A. V. Nersesov, D. A. Kaybullaeva, V. S. Rakhmetova, I. A. Lozinskaya, A. K. Kurmangalieva, V. S. Ayupova, A. B. Orazbaeva, A. K. Kanabaeva, Yu. O. Shulpekova

    Published 2022-01-01
    “…A visual analogue scale and RAPID questionnaire were used to characterise biliary pain; severity of associated symptoms, bowel habit and a quality of life according the SF-12 were also assessed. A rate of a ≥50 % reduction in symptom severity was used as a primary efficacy criterion; a rate of a ≥10 improvement in the SF-12 quality of life score was used as a secondary efficacy criterion. …”
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    Article
  18. 2798

    Full-Color LCD Microdisplay System Based on OLED Backlight Unit and Field-Sequential Color Driving Method by Sungho Woo, Dae-Hwan Kim, Yoon Soo Han, Byeong-Dae Choi

    Published 2011-01-01
    “…The field-sequential driving frequency was set to 255 Hz to allow each of the RGB colors to be generated without color mixing at the given display frame rate. A prototype FSC LCD microdisplay system consisting of a 0.7′′ LCD microdisplay panel and the 0.76′′ OLED BLU successfully exhibited color display and moving picture images using the FSC driving method.…”
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  19. 2799

    Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

    Published 2025-05-01
    “…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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    Article
  20. 2800

    CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

    Published 2025-04-01
    “…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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    Article