Policy Analysis of Leading University of undergraduate education by Applying Multidimensional Analysis Model

2017 ◽  
Vol 30 (1) ◽  
pp. 35-70
Author(s):  
Mi Young Kang
Keyword(s):  
Policy Analysis ◽  
Undergraduate Education ◽  
Multidimensional Analysis ◽  
Analysis Model

scholarly journals Low level of plasminogen increases risk for mortality in COVID-19 patients

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
David Della-Morte ◽  
Francesca Pacifici ◽  
Camillo Ricordi ◽  
Renato Massoud ◽  
Valentina Rovella ◽  
...  
Keyword(s):  
Fasting Blood Glucose ◽  
Multidimensional Analysis ◽  
Strongly Correlated ◽  
Analysis Model ◽  
Inflammatory Parameters ◽  
Number Of Patients ◽  
Caucasian Patients ◽  
Low Levels ◽  
Organ Dysfunctions

AbstractThe pathophysiology of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and especially of its complications is still not fully understood. In fact, a very high number of patients with COVID-19 die because of thromboembolic causes. A role of plasminogen, as precursor of fibrinolysis, has been hypothesized. In this study, we aimed to investigate the association between plasminogen levels and COVID-19-related outcomes in a population of 55 infected Caucasian patients (mean age: 69.8 ± 14.3, 41.8% female). Low levels of plasminogen were significantly associated with inflammatory markers (CRP, PCT, and IL-6), markers of coagulation (D-dimer, INR, and APTT), and markers of organ dysfunctions (high fasting blood glucose and decrease in the glomerular filtration rate). A multidimensional analysis model, including the correlation of the expression of coagulation with inflammatory parameters, indicated that plasminogen tended to cluster together with IL-6, hence suggesting a common pathway of activation during disease’s complication. Moreover, low levels of plasminogen strongly correlated with mortality in COVID-19 patients even after multiple adjustments for presence of confounding. These data suggest that plasminogen may play a pivotal role in controlling the complex mechanisms beyond the COVID-19 complications, and may be useful both as biomarker for prognosis and for therapeutic target against this extremely aggressive infection.

Managerial recruitment and attrition: A policy analysis model

1978 ◽  
Vol 23 (1) ◽  
pp. 49-60 ◽  
Author(s):  
Nathaniel J. Mass
Keyword(s):  
Policy Analysis ◽  
Analysis Model

scholarly journals Advancing Discussion of Federal Faith-based Social Service Policies through Overview and Application of Established Health Services Research Models

10.18060/1952 ◽  
2012 ◽  
Vol 13 (3) ◽  
pp. 484-509
Author(s):  
Michelle D. Garner
Keyword(s):  
Policy Analysis ◽  
Social Workers ◽  
Social Services ◽  
Analysis Model ◽  
Services Research ◽  
Federal Policies ◽  
Faith Based ◽  
Narrow Scope ◽  
Equity Policy ◽  
Service Policies

Since the 1990s, federal policies have allowed public funds to support social services provided through pervasively faith-based organizations (FBOs). Public and academic discourse on these policies tends to be marked by limited data, narrow scope, and the lack of an appropriate analytic framework to adequately consider and critique the merits of the policies, as social workers are compelled to do. The goals of this study are to identify, and preliminarily apply, an established policy analysis model appropriate for use with FBO policy in order to progress discussion. Health service researchers Aday, Begley, Lairson, and Balkrishnan (2004) provide a theoretically based policy analysis framework, which is appropriate for this task and for use by social workers. Their effectiveness, efficiency, and equity policy analysis model is presented along with data and analysis intended to help frame and progress productive discussions on FBO policies within and beyond the profession.

Conjoining an Input-Output Model and a Policy Analysis Model: A Case Study of the Regional Economic Effects of Expanding a Port Facility

1981 ◽  
Vol 13 (8) ◽  
pp. 1029-1038 ◽  
Author(s):  
B H Stevens ◽  
G I Treyz ◽  
J K Kindahl
Keyword(s):  
Policy Analysis ◽  
Simulation Models ◽  
Economic Effects ◽  
Input Output ◽  
Analysis Model ◽  
General Applicability ◽  
Distinctive Features ◽  
The Cost ◽  
Port Facility

A 484-sector Massachusetts static input-output (MIO) model is conjoined with the Massachusetts Economic Policy Analysis (MEPA) model which includes supply relationships, industrial location responses to changing costs, and a production function allowing substitution among inputs. This makes it possible to draw upon the distinctive features of both models. The technique is demonstrated by a study that analyzes the effect on the Massachusetts economy of the expansion of a container port facility at Boston. The approach presented here has general applicability to policy analysis and planning studies that require both the detailed regional interindustry interactions captured by a disaggregated input-output model and the cost, price, supply, location, and demand interdependencies which are endogenous in the best regional forecasting and policy simulation models.

scholarly journals Establishment and application of Competitive Intelligence System in Mobile Devices

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Anass El haddadi ◽  
Bernard Dousset ◽  
Ilham Berrada
Keyword(s):  
Mobile Devices ◽  
Decision Problem ◽  
Information Environment ◽  
Multidimensional Analysis ◽  
Competitive Intelligence ◽  
Analysis Model ◽  
Intelligence System ◽  
Strategic Responsiveness ◽  
Long Range Planning ◽  
Competitive Intelligence System

The strategy concept has changed dramatically: from a long range planning to strategic planning then to strategic responsiveness. This response implies moving from a concept of change to a concept of continuous evolution. In our context, the competitive intelligence system presented aims to improve decision‐making in all aspects of business life, particularly for offensive and innovative decisions. In the paper we present XPlor EveryWhere, our competitive intelligence system based on a multidimensional analysis model for mobile devices. The objective of this system is to capture the information environment in all dimensions of a decision problem, with the exploitation of information by analyzing the evolution of their interactions.

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