Background: Logic models are tools to evaluate the effectiveness of programs. In 2013, the National Institute of Nursing Research (NINR) Logic Model for Center Sustainability was developed.
Purpose: The purpose of this paper is to describe the process of revision and implementation of the NINR Logic Model across a continuum of NINR Exploratory Centers and Centers of Excellence.
Methods: The process for incorporating common data elements for symptom, self-management, biomarker science and precision health in the logic model is outlined. Information about the NINR Logic Model was gleaned from the National Institutes of Health Reporter, annual NINR Center Directors meetings, and from individual Center Directors.
Findings: Centers utilized the model for funding applications and to guide Core administration, evaluation, Center sustainability, and/or other Center metrics.
Discussion: The revised NINR Logic Model for Center Sustainability can be a useful tool for planning and implementing center activities for center impact and sustainability.
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http://dx.doi.org/10.1016/j.outlook.2018.09.001 | DOI Listing |
Sci Rep
December 2024
Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth.
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December 2024
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Hydrogen-based electric vehicles such as Fuel Cell Electric Vehicles (FCHEVs) play an important role in producing zero carbon emissions and in reducing the pressure from the fuel economy crisis, simultaneously. This paper aims to address the energy management design for various performance metrics, such as power tracking and system accuracy, fuel cell lifetime, battery lifetime, and reduction of transient and peak current on Polymer Electrolyte Membrane Fuel Cell (PEMFC) and Li-ion batteries. The proposed algorithm includes a combination of reinforcement learning algorithms in low-level control loops and high-level supervisory control based on fuzzy logic load sharing, which is implemented in the system under consideration.
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December 2024
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, 600127, Chennai, India.
In the current scenario, decision-making models are essential for analyzing real-world problems. To address the dynamic nature of these problems, fuzzy decision-making models have been proposed by various researchers. However, an advanced technique is needed to assess uncertainty in real-time complex situations.
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December 2024
Centre for Sustainable Materials and Surface Metamorphosis, Chennai Institute of Technology, Chennai, 600069, Tamilnadu, India.
This study investigates the production of graphene-enhanced polyethylene terephthalate glycol (G-PETG) components using fused deposition modeling (FDM) and evaluates their mechanical properties, contributing to the advancement of additive manufacturing. Trials demonstrated notable improvements in mechanical performance, with optimal printing parameters identified using the Spice Logic Analytical Hierarchy Process (AHP). The effectiveness of this methodology is further compared with the Fuzzy Analytic Hierarchy Process (FAHP) combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).
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December 2024
Department of Mathematics, Ghazni University, Ghazni, Afghanistan.
The current manuscript presents a mathematical model of dengue fever transmission with an asymptomatic compartment to capture infection dynamics in the presence of uncertainty. The model is fuzzified using triangular fuzzy numbers (TFNs) approach. The obtained fuzzy-fractional dengue model is then solved and analyzed through fuzzy extension of modified residual power series algorithm, which utilizes residual power series along with Laplace transform.
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