A note on Life Office Models

1992 ◽  
Vol 44 ◽  
pp. 64-72 ◽  
Author(s):  
A. S. Macdonald
Keyword(s):  
Flexible Model

AbstractA brief description is given of some problems encountered in designing a model office program. The key to an effective and flexible model lies in the structure which the model imposes on the data. An example of a model used for research is described.

Trial of a New Diabetes Education Model: Closing the Gap in Health Disparity for People with Diabetes

2021 ◽  
pp. 193229682110014
Author(s):  
Thomas W. Martens ◽  
Janet S. Lima ◽  
Elizabeth A. Johnson ◽  
Jessica A. Conry ◽  
Jennifer J. Hoppe ◽  
...  
Keyword(s):  
Diabetes Care ◽  
Patient Population ◽  
Diabetes Education ◽  
Quality Measures ◽  
Healthcare Barriers ◽  
Clinic Setting ◽  
Closing The Gap ◽  
Education Model ◽  
Flexible Model ◽  
Improve Diabetes Care

Background: Quality measures relating to diabetes care in America have not improved between 2005 and 2016, and have plateaued even in areas that outperform national statistics. New approaches to diabetes care and education are needed and are especially important in reaching populations with significant barriers to optimized care. Methods: A pilot quality improvement study was created to optimize diabetes education in a clinic setting with a patient population with significant healthcare barriers. Certified Diabetes Care and Education Specialists (CDCES) were deployed in a team-based model with flexible scheduling and same-day education visits, outside of the traditional framework of diabetes education, specifically targeting practices with underperforming diabetes quality measures, in a clinic setting significantly impacted by social determinants of health. Results: A team-based and flexible diabetes education model decreased hemoglobin A1C for individuals participating in the project (and having a second A1C measured) by an average of −2.3%, improved Minnesota Diabetes Quality Measures (D5) for clinicians participating in the project by 5.8%, optimized use of CDCES, and reduced a high visit fail rate for diabetes education. Conclusions: Diabetes education provided in a team-based and flexible model may better meet patient needs and improve diabetes care metrics, in settings with a patient population with significant barriers.

Effect of Complexity of the Second Response on Reaction Time to the First Response in the Psychological Refractory Period Paradigm

1987 ◽  
Vol 64 (3_suppl) ◽  
pp. 1075-1080 ◽  
Author(s):  
Craig J. Chamberlin
Keyword(s):  
Reaction Time ◽  
Refractory Period ◽  
Psychological Refractory Period ◽  
Parallel Model ◽  
Relative Complexity ◽  
Central Processing ◽  
Psychological Refractory Period Paradigm ◽  
First Response ◽  
Grouping Effect ◽  
Flexible Model

An attempt to distinguish serial from parallel models of central processing was made by manipulating the relative complexity of R2 and observing the effect of this manipulation on RT1 in the Psychological Refractory Period paradigm. 14 subjects performed under two conditions, either a simple or complex R2. Experimental controls were used to prevent a possible grouping effect of responses. The results did not support a parallel model of central processing but did support a serial view. Implications of results, combined with previous findings, for a more flexible model of central processing were discussed.

scholarly journals A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia

2018 ◽  
Vol 15 (11) ◽  
pp. 2516 ◽  
Author(s):  
Wei Zhang ◽  
Phil McManus ◽  
Elizabeth Duncan
Keyword(s):  
High Heat ◽  
The Past ◽  
Urban Heat ◽  
Research Gap ◽  
Heat Vulnerability ◽  
Very High ◽  
Flexible Model ◽  
General Indicator ◽  
Sydney Australia

Assessing and mapping urban heat vulnerability has developed significantly over the past decade. Many studies have mapped urban heat vulnerability with a census unit-based general indicator (CGI). However, this kind of indicator has many problems, such as inaccurate assessment results and lacking comparability among different studies. This paper seeks to address this research gap and proposes a raster-based subdividing indicator to map urban heat vulnerability. We created a raster-based subdividing indicator (RSI) to map urban heat vulnerability from 3 aspects: exposure, sensitivity and adaptive capacity. We applied and compared it with a raster-based general indicator (RGI) and a census unit-based general indicator (CGI) in Sydney, Australia. Spatial statistics and analysis were used to investigate the performance among those three indicators. The results indicate that: (1) compared with the RSI framework, 67.54% of very high heat vulnerability pixels were ignored in the RGI framework; and up to 83.63% of very high heat vulnerability pixels were ignored in the CGI framework; (2) Compared with the previous CGI framework, a RSI framework has many advantages. These include more accurate results, more flexible model structure, and higher comparability among different studies. This study recommends using a RSI framework to map urban heat vulnerability in the future.

Beta-Splines: A Flexible Model

2007 ◽  
pp. 133-142
Author(s):  
Sambhunath Biswas ◽  
Brian C. Lovell
Keyword(s):  
Flexible Model

scholarly journals Modeling User's Non-Functional Preferences for Personalized Service Ranking

2021 ◽  
Author(s):  
Rozita Mirmotalebi
Keyword(s):  
Web Services ◽  
Web Service ◽  
Functional Properties ◽  
User Modeling ◽  
User Profiles ◽  
Different Types ◽  
The Right ◽  
Service Ranking ◽  
Implicit And Explicit ◽  
Flexible Model

As the number of web services is increasing on the web, selecting the proper web service is becoming a more and more difficult task. How to make the selection results from a list of services more customized towards users’ personal preferences and help users identify the right services for their personal needs becomes especially important under this context. In this thesis, we propose a novel User Modeling approach to generate user profiles on their non-functional preferences on web services, and then apply the generated profiles to the ranking process in order to make personalized selection results. The User Modeling system is based on both implicit and explicit information from the user. Also, this is a flexible model to include different types of non-functional properties. We performed experiments using a real web service dataset with values on various non-functional properties to show the accuracy of our system.

scholarly journals A Matrix-Variate t Model for Networks

2021 ◽  
Vol 4 ◽  
Author(s):  
Monica Billio ◽  
Roberto Casarin ◽  
Michele Costola ◽  
Matteo Iacopini
Keyword(s):  
Network Analysis ◽  
Measurement Errors ◽  
Statistical Treatment ◽  
Centrality Measures ◽  
Random Errors ◽  
Inference Procedure ◽  
Financial Firms ◽  
The Matrix ◽  
Different Sources ◽  
Flexible Model

Networks represent a useful tool to describe relationships among financial firms and network analysis has been extensively used in recent years to study financial connectedness. An aspect, which is often neglected, is that network observations come with errors from different sources, such as estimation and measurement errors, thus a proper statistical treatment of the data is needed before network analysis can be performed. We show that node centrality measures can be heavily affected by random errors and propose a flexible model based on the matrix-variate t distribution and a Bayesian inference procedure to de-noise the data. We provide an application to a network among European financial institutions.

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