In this paper we present our experiences from a decade of plug-in development in the jABC framework, that is characterized by rigorous application of simplicity principles in two dimensions. First, the scope of the pl...
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The regulatory impact of the mitochondria spatial distribution and enlargement in their oxidative power qo2 on tissue oxygenation of skeletal muscle during hypoxia were studied. Investigations were performed by mathem...
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Testing Software Product Lines is a very challenging task due to variability. Frequently, approaches such as combinatorial testing are used to generate representative sets of products for testing purposes instead of t...
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Background/Purpose: The myositis syndromes are rare systemic autoimmune diseases with poorly understood etiologies. We present the demographics, illness features and treatments of patients with juvenile dermatomyositi...
Background/Purpose: The myositis syndromes are rare systemic autoimmune diseases with poorly understood etiologies. We present the demographics, illness features and treatments of patients with juvenile dermatomyositis (JDM) who enrolled in a newly created national registry. Methods: Using a patient database from The Myositis Association and supplemental advertisements, a national registry of myositis patients was established. Between December 2010 and July 2012 questionnaires were mailed to 8847 myositis patients in the US and Canada. The questionnaire queried demographics, clinical features, environmental exposures, and quality of life. Descriptive statistics and multivariable logistic regression analysis were computed using GraphPad Prysm and SAS. Results: 1956 patients (22%) returned the questionnaire and consented to participate; 1806 who met probable or definite Bohan and Peter criteria for myositis were included (708 DM, 483 PM, 466 IBM, 139 JDM, 10 JPM); juvenile patients were diagnosed before age 18 years. Of the 139 JDM patients, the median age at diagnosis was 6.9 years and median disease duration at enrollment was 10.3 years. Most JDM patients were female (78%) and Non-Hispanic Caucasian (88%), and the remainder were Hispanic (6.5%), Asian (2.9%), multiple races (2.2%), and Black (0.7%). Patients or their parents often completed a graduate degree (23%) or college degree (29%). JDM patients were primarily diagnosed by a pediatric rheumatologist (48%), with adult and pediatric dermatologists (22%), pediatric neurologists and primary care physicians (11% each) diagnosing most of the remaining patients; 67% were under the care of a pediatric rheumatologist. JDM patients frequently had skin rashes as a major manifestation (86%); arthritis (35%) and dysphagia (32%) were also common, whereas lung disease (12%) was less frequent. An additional autoimmune disease was present in 18% of JDM patients, with JIA (8%) and SLE and celiac disease (3% each) the most frequ
Mobile devices like smartphones are getting increasingly important in our daily lifes. They are used in various environments and have to dynamically adapt themselves accordingly in order to provide an optimal runtime ...
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ISBN:
(纸本)9781450310956
Mobile devices like smartphones are getting increasingly important in our daily lifes. They are used in various environments and have to dynamically adapt themselves accordingly in order to provide an optimal runtime behavior. Naturally, adapting to continuously changing environmental conditions is a challenging task because mobile devices are always limited in their resources and have to adapt in realtime. In this paper, we introduce an approach that enables resource limited devices to adapt to changing conditions using dynamic software product lines techniques. Therefore, feature models are reduced to a specific hardware context before installing the adaptive mobile application on the device. This reduces the amount of possible configurations that are compatible with the device and, thereby, minimizes the costs and the duration of an adaptation during runtime. Copyright 2012 ACM.
In this paper, we show how to fully automatically infer semantic interfaces of data structures on the basis of systematic testing. Our semantic interfaces are a generalized form of Register Automata (RA), comprising p...
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This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical o...
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This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical optimization. The coupling uses a standardized XML format for exchange of differential-algebraic equations (DAE) models. OpenModelica supports export of models written in Modelica and the optimization language extension using this XML format, while CasADi supports import of models represented in this format. This allows users to define optimal control problems (OCP) using Modelica and optimization language specification, and solve the underlying model formulation using a range of optimization methods, including direct collocation and direct multiple shooting. The proposed solution has been tested on several industrially relevant optimal control problems, including a diesel-electric power train.
Complex Event Processing (CEP) is a popular method to monitor processes in several contexts, especially when dealing with incidents at distinct points in time. Specific temporal combinations of various events are ofte...
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Test drivers are an essential part of any practical active automata learning setup. These components to accomplish the translation of abstract learning queries into concrete system invocations while managing runtime d...
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In this paper we present a method and tool to fully automatically infer data-sensitive behavioral models of black-box systems in two coordinated steps: (1) syntactical analysis of the interface descriptions, here give...
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