Transitioning to telehealth due to COVID-19: Maintaining model fidelity in a home visiting program for parents of vulnerable infants.
Sign Up to like & getrecommendations! Published in 2021 at "Infant mental health journal"
DOI: 10.1002/imhj.21963
Abstract: Maintaining treatment fidelity when implementing evidence-based interventions is a significant challenge. The inability to deliver in-person services due to the COVID-19 pandemic critically challenged the foundation of implementation fidelity for home visiting programs across the… read more here.
Keywords: fidelity; program; home visiting; due covid ... See more keywords
Interobserver agreement and procedural fidelity: An odd asymmetry
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Behavior Analysis"
DOI: 10.1002/jaba.961
Abstract: We examined articles with experiments published in the Journal of Applied Behavior Analysis and in Behavior Analysis in Practice from 2017 through 2021 to determine how frequently procedural fidelity was assessed. When procedural fidelity was… read more here.
Keywords: procedural fidelity; interobserver agreement; fidelity; agreement procedural ... See more keywords
Strengthening the procedural fidelity research-to-practice loop in animal behavior.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the experimental analysis of behavior"
DOI: 10.1002/jeab.780
Abstract: Procedural fidelity is the extent to which components of an intervention are implemented as designed. Procedural fidelity is measured as a dependent variable and manipulated as an independent variable. In research and practice, procedural-fidelity data… read more here.
Keywords: procedural fidelity; practice; fidelity; animal behavior ... See more keywords
Fidelity of implementing a competency-based nursing programme during the COVID-19 pandemic: A case study.
Sign Up to like & getrecommendations! Published in 2023 at "Nursing open"
DOI: 10.1002/nop2.1677
Abstract: AIM The study describes the fidelity of implementing a competency-based nursing education (CBNE) programme during the COVID-19 pandemic in a low-resource setting. DESIGN A descriptive case study research design integrating mixed methods underpinned by the… read more here.
Keywords: fidelity implementing; fidelity; implementing competency; competency based ... See more keywords
Fidelity and IPS: does quality of implementation predict vocational outcomes over time for organizations treating persons with severe mental illness in the Netherlands?
Sign Up to like & getrecommendations! Published in 2020 at "Social Psychiatry and Psychiatric Epidemiology"
DOI: 10.1007/s00127-020-01890-0
Abstract: Individual placement and support (IPS) is an evidence-based supported employment intervention. Quality of IPS implementation is assessed using a validated fidelity scale. Previous studies found a positive association between fidelity and employment outcomes at a… read more here.
Keywords: fidelity employment; fidelity; implementation; time ... See more keywords
Metamodeling for high dimensional design problems by multi-fidelity simulations
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-017-1655-y
Abstract: Multi-fidelity metamodeling provides an efficient way to approximate expensive black-box problems by utilizing the samples of multiple fidelities. While it still faces the challenge of “curse-of-dimensionality” when used in approximating high dimensional problems. On the… read more here.
Keywords: high dimensional; fidelity; dimensional problems; multi fidelity ... See more keywords
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02248-0
Abstract: In computational simulation, a high-fidelity (HF) model is generally more accurate than a low-fidelity (LF) model, while the latter is generally more computationally efficient than the former. To take advantages of both HF and LF… read more here.
Keywords: fidelity surrogate; basis function; mfs rbf; model ... See more keywords
Adaptive infill sampling criterion for multi-fidelity gradient-enhanced kriging model
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02493-8
Abstract: Multi-fidelity surrogate (MFS) method is very promising for the optimization of complex problems. The optimization capability of MFS can be improved by infilling samples in the optimization process. Furthermore, once the gradient information is provided,… read more here.
Keywords: fidelity; multi fidelity; model; infill sampling ... See more keywords
A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02575-7
Abstract: This paper presents a multi-fidelity RBF (radial basis function) surrogate-based optimization framework (MRSO) for computationally expensive multi-modal optimization problems when multi-fidelity (high-fidelity (HF) and low-fidelity (LF)) models are available. The HF model is expensive and… read more here.
Keywords: fidelity; based optimization; multi fidelity; optimization ... See more keywords
A multi-fidelity Bayesian optimization approach based on the expected further improvement
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02772-4
Abstract: Sampling efficiency is important for simulation-based design optimization. While Bayesian optimization (BO) has been successfully applied in engineering problems, the cost associated with large-scale simulations has not been fully addressed. Extending the standard BO approaches… read more here.
Keywords: fidelity; bayesian optimization; fidelity bayesian; multi fidelity ... See more keywords
Adaptive multi-fidelity sparse polynomial chaos-Kriging metamodeling for global approximation of aerodynamic data
Sign Up to like & getrecommendations! Published in 2021 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-021-02895-2
Abstract: The multi-fidelity metamodeling method can dramatically improve the efficiency of metamodeling for computationally expensive engineering problems when multiple levels of fidelity data are available. In this paper, an efficient and novel adaptive multi-fidelity sparse polynomial… read more here.
Keywords: global approximation; multi fidelity; fidelity; sparse polynomial ... See more keywords