Showing 2,801 - 2,820 results of 48,762 for search '"informant"', query time: 0.10s Refine Results
  1. 2801

    Knowledge of Mainland Chinese about Stroke and Its Prevention: Risk Factors, Warning Signs, Emergency Response and Information Access by Zhenyi LI, Peng WANG, Alice Y M JONES, Elizabeth DEAN

    Published 2015-08-01
    “…Objective:To examine the knowledge of mainland Chinese about stroke, specifically, its risk factors, warning signs, emergency response, and information access. Such information will help inform health education campaigns for stroke prevention in China.Methods:A standardized cross-sectional questionnaire study on stroke knowledge was conducted. …”
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    Article
  2. 2802

    Developing Guidelines for Conducting Stigma Research With Transgender and Nonbinary Individuals: Protocol for Creation of a Trauma-Informed Approach to Research by Augustus Klein, Sarit A Golub, Danielle Berke, Elijah Castle

    Published 2025-01-01
    “…Conducting stigma research is critical for generating accurate information about HIV epidemiology, risk and protective factors, and intervention strategies for transgender and nonbinary individuals. …”
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  3. 2803

    A Decentralized Storage and Security Engine (DeSSE) Using Information Fusion Based on Stochastic Processes and Quantum Mechanics by Gerardo Iovane, Riccardo Amatore

    Published 2025-01-01
    “…Then, the puzzling is a unit of Information Fusion and Inverse Information Fusion, while the crypto agility component is a frontier component based on Quantum Computing, which gives a stochastic dynamic to the information and, in particular, to its data fragments. …”
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    Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses. by Wenshi Gu

    Published 2025-01-01
    “…These findings highlight the effectiveness and potential of linguistically informed prompt design in enhancing the translation accuracy of complex sentence structures. …”
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    Article
  6. 2806

    Investigating processes to support and improve informed financial consent in Australian cancer services: an implementation process mapping study and analysis by Natalie Taylor, Elizabeth Kennedy, Carolyn Mazariego, Raylene Cox, Kate Whittaker, Megan Varlow

    Published 2025-02-01
    “…An aggregated process map that highlights the key components of IFC processes discussed was created and includes strategies such as centralised points of contact, consolidated information delivery, reiteration of information by others or at various time-points and the use of follow-up appointments to revisit the financial impact of treatment. …”
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    Presentation of Novel Multiple Regression Model for Accounting Information Quality, Corporate Investment, and Moderating Role of Ownership Structure in Companies by Mahsa Amiran, Abdorreza Asadi, Maryam Oladi

    Published 2022-01-01
    “…At the same time, there is no effect of capital structure on accounting information quality and firms’ investment decisions. …”
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    Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach by Cheng Cheng, Elayaraja Aruchunan, Muhamad Hifzhudin Noor Aziz

    Published 2025-01-01
    “…Abstract A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. …”
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  13. 2813

    Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information and Their Application in Complex Decision-Making by Shahzaib Ashraf, Shakoor Ahmad, Muhammad Naeem, Muhammad Riaz, Md. Ashraful Alam

    Published 2022-01-01
    “…In this article, we proposed an extended EDAS (Evaluation based on Distance from Average Solution) method based on the single-valued neutrosophic (SVN) Aczel-Alsina aggregation information. The fundamental concept of a single-valued neutrosophic (SVN) set is a universal mathematical tool for effectively managing uncertain and imprecise information. …”
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    Prediction of Cisplatin‐Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information by Kaori Ambe, Yuka Aoki, Miho Murashima, Chiharu Wachino, Yuto Deki, Masaya Ieda, Masahiro Kondo, Yoko Furukawa‐Hibi, Kazunori Kimura, Takayuki Hamano, Masahiro Tohkin

    Published 2025-01-01
    “…We aimed to develop a predictive model for Cis‐AKI using patient clinical information based on an interpretable machine learning algorithm. …”
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