The theory of constraints is an approach to production planning and control that emphasizes on the constraints to increase throughput by effectively managing constraint resources. One application in theory of constraints is product mix decision. Product mix influences the performance measures in multi-product manufacturing system. This paper presents an alternative approach by using of goal pro...

Introduction: Brain functional performance is a collection of outstanding mental processing that provides a framework for achieving goals based on targeted behaviors. Disorders in executive functions make it difficult for a person to perform everyday tasks. One of the phenomena highlighted in various media is the violence that adolescents welcome with the production of violent movies. This stud...

In a programming project, it is easy to lose track of which files need to be reprocessed or recompiled after a change is made in some part of the source. Make provides a simple mechanism for maintaining up-to-date versions of programs that result from many operations on a number of files. It is possible to tell Make the sequence of commands that create certain files, and the list of files that ...

The efficiency–accuracy trade-off of approximate computing spans a diverse array of techniques at both the hardware and software levels. While this diversity is key to the success of approximation research, it also entails considerable complexity in developing and validating new approximation techniques. Researchers must relate their ideas to a vast body of work on approximate computing and inv...

We propose React(C ), an expressive programming language for stochastic modeling and simulation in systems biology that is based on biochemical reactions with constraints. We prove that React(C ) can express the stochastic π-calculus, in contrast to previous rule-based programming languages, and further illustrate the high expressiveness of React(C ). We present a stochastic simulator for React...

introduction mycobacterium tuberculosis (mtb) is one of the most common causes of disseminated granulomatous diseases especially in developing countries. case presentation we present a patient who had an unusual type of tuberculosis who was misdiagnosed with some other common diseases such as infective endocarditis and collagen vascular diseases. pathological examination helped us to make decis...

This paper focuses on the use of Atmospheric Dispersion and Impact Assessment Modeling (ADIAM) in nuclear emergency management. As a complement to field measurements, these tools participate in emergency decision support regarding the assessment of impacted areas and population protection countermeasures. This paper aims to study how this expertise is used during crisis situation and question t...

ABR sources react to network feedback by adjusting their transmission rates. Most schemes fall into one of two types depending on what is fed back and where control decision is made. Explicit Congestion Notification schemes allow sources to make control decisions but only with incomplete information on congestion. Explicit Rate schemes use more accurate congestion information but make the contr...