Showing 161 - 180 results of 905 for search 'transition (errors OR error)', query time: 0.12s Refine Results
  1. 161

    Do hospital-to-home transitions work for older adults with multiple long-term conditions including dementia? A realist review by Lauren Lawson, Matthew Cooper, Clare Tolley, Annette Hand, Hamde Nazar

    Published 2025-07-01
    “…Frequent transitions increase the risk of errors, miscommunication, and treatment delays, compromising patient safety and leading to potentially increased mortality, morbidity, and preventable readmissions. …”
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    Article
  2. 162

    Construction of a new class of (2k, k, 1) convolutional codes by Cheng-chang ZHENG, Wan-quan PENG, Bo WEI

    Published 2014-06-01
    “…Simulation results show that, the (2k,k,1) convolutional codes present some advantages over the traditional one in error correction performance and decoding speed.…”
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    Article
  3. 163

    Transitioning from Analog to Digitalization of Essential Vaccination for Travellers through National Immunization Management System (NIMS) at the Points of Entry in Pakistan by Dr Nadia Noreen

    Published 2025-03-01
    “…It enhances data accuracy, reduces manual errors, and provides timely access to critical information for decision-making and issuance of digital certificates to passengers with achievement in terms of better validity, and reliability. …”
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    Article
  4. 164

    Factors Associated with Nursing Intention of Discharged Patients With Drainage Tubes During Transitional Care: a Case–Control Study by Ding X, Jiao W, Gong X, Sun Y, Sang L, Yu M

    Published 2025-03-01
    “…Bivariate analysis was conducted to examine the relevance of the variables showing significant differences.Results: Excluding 5 questionnaires (logic errors), 141 respondents were enrolled in this analysis (effective accomplished ratio=96.58%). …”
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    Article
  5. 165

    Methodology for determining passengers correspondence by public transport from electronic tickets validation operations by A. I. Fadeev, S. Alhusseini

    Published 2022-06-01
    “…It was proved that passenger correspondence calculated using the developed methodology statistically corresponds to the general set of transit passenger ridership within acceptable errors. …”
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    Article
  6. 166

    Real-Time TECS Gain Tuning Using Steepest Descent Method for Post-Transition Stability in Unmanned Tilt-Rotor eVTOLs by Choonghyun Lee, Ngoc Phi Nguyen, Sangjun Bae, Sung Kyung Hong

    Published 2025-06-01
    “…The proposed method integrates gain adaptation directly into the TECS loop, optimizing control actions based on instantaneous flight states such as altitude and energy-rate errors. This enables improved responsiveness to nonlinear dynamics during the critical post-transition phase. …”
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  7. 167

    Effects of Coverage Area Treatment, Spatial Analysis Unit, and Regression Model on the Results of Station-Level Demand Modeling of Urban Rail Transit by Hongtai Yang, Chaojing Li, Xuan Li, Jinghai Huo, Yi Wen, Emma G. P. Sexton, Yugang Liu

    Published 2021-01-01
    “…Direct ridership models can predict station-level urban rail transit ridership. Previous research indicates that the direct modeling of urban rail transit ridership uses different coverage overlapping area processing methods (such as naive method or Thiessen polygons), area analysis units (such as census block group and census tract), and various regression models (such as linear regression and negative binomial regression). …”
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  11. 171

    Transitional care quality indicators to assess quality of care following hospitalisation for chronic obstructive pulmonary disease and heart failure: a systematic review protocol by Faith Michael, Sera Whitelaw, Harriette GC Van Spall

    Published 2019-12-01
    “…We will screen all studies published between January 1990 and October 2019 that test an intervention that aims to improve the hospital-to-home transition for patients with COPD and/or HF; and measure at least one process (eg, medication errors), clinical (eg, hospital readmissions) or patient-reported (eg, health-related quality of life) outcome which will serve as a transitional care quality indicator . …”
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  14. 174

    Simulation of silicon wafers heating during rapid thermal processing using “UBTO 1801” unit by J. A. Solovjov, V. A. Pilipenko, V. P. Yakovlev

    Published 2020-11-01
    “…With that, the wafer temperature prediction error in compliance with developed mathematical model makes less than 2.3 %. …”
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  15. 175

    Tracing socio-economic transformations and quality of life in peri-urban villages of Durgapur Municipal Corporation (India) during 2011–2023 by Subrata Haldar, Somnath Mandal, Subhasis Bhattacharya, Suman Paul

    Published 2025-06-01
    “…By the systematic sampling method, the study considered 830 households with 10% marginal error and 20% non-sampling for the primary survey. …”
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  16. 176

    Locational Marginal Pricing: A Fundamental Reconsideration by Leigh Tesfatsion

    Published 2024-01-01
    “…However, this entails a serious many-to-one benefit/cost measurement error: namely, the valuation of this next unit by a market participant or system operator will typically depend strongly on the dynamic attributes of the path of power injections and/or withdrawals (MW) used to implement its delivery at b during T. …”
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  17. 177

    Temporal Logic for Programmable Logic Controllers by Natalia Olegovna Garanina, Igor Sergeevich Anureev, Vladimir Evgenyevich Zyubin, Sergey Mikhailovich Staroletov, Tatiana Victorovna Liakh, Andrey Sergeevich Rozov, Sergei Petrovich Gorlatch

    Published 2020-12-01
    “…., ensuring the absence of design errors in a system with respect to requirements. Control systems are usually based on industrial controllers, also known as Programmable Logic Controllers (PLCs). …”
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  18. 178

    Full Envelope Control of Over-Actuated Fixed-Wing Vectored Thrust eVTOL by Emmanuel Enenakpogbe, James F. Whidborne, Linghai Lu

    Published 2024-11-01
    “…The control allocation allocates the overall control demand (virtual controls) to individual redundant effectors while performing control error minimisation, control channel prioritisation and control effort minimisation. …”
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  19. 179
  20. 180

    Short-Term Prediction of Origin–Destination Passenger Flow in Urban Rail Transit Systems with Multi-Source Data: A Deep Learning Method Fusing High-Dimensional Features by Huanyin Su, Shanglin Mo, Huizi Dai, Jincong Shen

    Published 2024-10-01
    “…Short-term origin–destination (OD) passenger flow forecasting is crucial for urban rail transit enterprises aiming to optimise transportation products and increase operating income. …”
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