Component models and service creation

Author(s):  
Peter Schoo
1991 ◽  
Vol 8 (1) ◽  
pp. 109-127
Author(s):  
Zaidi Sattar

The present paper is a contribution to the building blocks of an investmentmodel within the framework of an integrated macroeconomic model of anIslamic economy. Investment behavior in the model is guided by an Islamicethicalvalue system and profit-sharing financial contracts. The typical firm’sinvestment decision is believed to emerge from a dynamic inter-temporalmaximization exercise within an infinite time horizon. The method of Calculusof Variations is applied to arrive at the optimal investment and employmentcriteria for the firm. The result is then incorporated into a macroeconomicmodel to study the behavior of key endogenous variables like national incomeand the rate of profit-share. Comparative statics exercised within a generalequilibrium framework reveal the potency of monetary policy but the neutralityof fiscal policy with respect to output and employment.IntroductionThe past decade has witnessed a tremendous outpouring of interest aswell as effort in the formalization of economic models based on profit-sharingfinancial arrangements as an Islamic alternative to the conventional interestbasedeconomic system. Several macroeconomic models for interest-freeeconomies have been proposed (Anwar 1987; Habibi 1987; Metwally 1981& 1983). The rigor of an integrated approach to such macroeconomic modelhgdepends on the rigor of the component models, namely, the consumption,investment, monetary, and fiscal relationships. Economists have writtenextensively on different aspects of consumer behavior in Islamic societies.Kahf (1978) and Khan (1984), among others, have contributed to the conceptualand analytical formulation of the consumption function under ...


Author(s):  
Ashwini Gautam ◽  
Chris Fuller ◽  
James Carneal

This work presents an extensive analysis of the properties of distributed vibration absorbers (DVAs) and their effectiveness in controlling the sound radiation from the base structure. The DVA acts as a distributed mass absorber consisting of a thin metal sheet covering a layer of acoustic foam (porous media) that behaves like a distributed spring-mass-damper system. To assess the effectiveness of these DVAs in controlling the vibration of the base structures (plate) a detailed finite elements model has been developed for the DVA and base plate structure. The foam was modeled as a poroelastic media using 8 node hexahedral elements. The structural (plate) domain was modeled using 16 degree of freedom plate elements. Each of the finite element models have been validated by comparing the numerical results with the available analytical and experimental results. These component models were combined to model the DVA. Preliminary experiments conducted on the DVAs have shown an excellent agreement between the results obtained from the numerical model of the DVA and from the experiments. The component models and the DVA model were then combined into a larger FE model comprised of a base plate with the DVA treatment on its surface. The results from the simulation of this numerical model have shown that there has been a significant reduction in the vibration levels of the base plate due to DVA treatment on it. It has been shown from this work that the inclusion of the DVAs on the base plate reduces their vibration response and therefore the radiated noise. Moreover, the detailed development of the finite element model for the foam has provided us with the capability to analyze the physics behind the behavior of the distributed vibration absorbers (DVAs) and to develop more optimized designs for the same.


2021 ◽  
Author(s):  
Michael D. Hunter ◽  
S. Mason Garrison ◽  
S. Alexandra Burt ◽  
Joseph L. Rodgers

2021 ◽  
Vol 1 ◽  
pp. 2631-2640
Author(s):  
Santosh Maurya ◽  
Tezuka Shin ◽  
Kentaro Watanabe ◽  
Hiroshi Nakagoe

AbstractThis research investigates service creation in/after effect of coronavirus pandemic targeting the essential business environment. It follows prevention through design approach to facilitate business owners to maintain their business environments at low COVID contraction risks, for both customers and staff. The effectiveness of recommended prevention practices (like social distancing and hand-sanitising) is uncertain at public workplaces, simply due to inevitable workers and customers interactions. Such uncertainty, especially in cases of retail stores and hospitals, raises a need for the design of services and support systems for common/necessary public business activities to reduce the burden on people involved. This research investigates the risk-related metrics to realise such digital services, focussing on three types: congestion at the work environment, disinfection of store area/objects, and sanitisation of people and staffs involved. Based on this, a digital technology-based service COVSAFE was created and tested through a proof-of-concept implementation for a supermarket business environment. This implementation and its evaluations highlight the bottlenecks/challenges for realising this system in everyday scenarios.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kevin Raeder ◽  
Timothy J. Hoar ◽  
Mohamad El Gharamti ◽  
Benjamin K. Johnson ◽  
Nancy Collins ◽  
...  

AbstractAn ensemble Kalman filter reanalysis has been archived in the Research Data Archive at the National Center for Atmospheric Research. It used a CAM6 configuration of the Community Earth System Model (CESM), several million observations per day, and the Data Assimilation Research Testbed (DART). The data saved from this global, $$\sim 1^\circ $$ ∼ 1 ∘ resolution, 80 member ensemble span 2011–2019. They include ensembles of: sub-daily, real world, atmospheric forcing for use by all of the nonatmospheric models of CESM; weekly, CAM6, restart file sets; 6 hourly, prior hindcast estimates of the assimilated observations; 6 hourly, land model, plant growth variables, and 6 hourly, ensemble mean, gridded, atmospheric analyses. This data can be used for hindcast studies and data assimilation using component models of CESM; CAM6, CLM5, CICE5, POP2. MOM6, MOSART, and CISM; and non-CESM Earth system models. This large dataset (~ 120 Tb) has a unique combination of a large ensemble, high frequency, and multiyear time span, which provides opportunities for robust statistical analysis and use as a machine learning training dataset.


Assessment ◽  
2020 ◽  
pp. 107319112097338
Author(s):  
Naheed Ahmed

Background: Hate crimes against Muslim Americans have increased exponentially in the past 20 years, but there is currently no scale for measuring perceived anti-Muslim discrimination in the United States. To fill this gap, this study used a mixed-method approach to develop scales for measuring perceived anti-Muslim discrimination. Method: Qualitative data informed the development and validation of the 19-item Societal Anti-Muslim Discrimination Index and the 9-item Interpersonal Anti-Muslim Discrimination Index. Quantitative data ( N = 347) were collected from Muslim Americans using an online survey and used to assess the anti-Muslim indexes. Results: Qualitative data contributed to the refinement scale items. Quantitative results indicated one-component models and modest to high reliability of the Interpersonal Anti-Muslim Discrimination Index (.77) and Societal Anti-Muslim Discrimination Index (.88) scales. Discussion: Study results established the validity of these novel scales for measuring the distinct facets of anti-Muslim discrimination not captured by the Everyday Discrimination Index. These scales will facilitate research on anti-Muslim discrimination and the health implications of this form of religious-based discrimination.


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