940 resultados para comprehensive quality requirements
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The worldwide antibiotic crisis has led to a renewed interest in phage therapy. Since time immemorial phages control bacterial populations on Earth. Potent lytic phages against bacterial pathogens can be isolated from the environment or selected from a collection in a matter of days. In addition, phages have the capacity to rapidly overcome bacterial resistances, which will inevitably emerge. To maximally exploit these advantage phages have over conventional drugs such as antibiotics, it is important that sustainable phage products are not submitted to the conventional long medicinal product development and licensing pathway. There is a need for an adapted framework, including realistic production and quality and safety requirements, that allowsa timely supplying of phage therapy products for 'personalized therapy' or for public health or medical emergencies. This paper enumerates all phage therapy product related quality and safety risks known to the authors, as well as the tests that can be performed to minimize these risks, only to the extent needed to protect the patients and to allow and advance responsible phage therapy and research.
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Web services from different partners can be combined to applications that realize a more complex business goal. Such applications built as Web service compositions define how interactions between Web services take place in order to implement the business logic. Web service compositions not only have to provide the desired functionality but also have to comply with certain Quality of Service (QoS) levels. Maximizing the users' satisfaction, also reflected as Quality of Experience (QoE), is a primary goal to be achieved in a Service-Oriented Architecture (SOA). Unfortunately, in a dynamic environment like SOA unforeseen situations might appear like services not being available or not responding in the desired time frame. In such situations, appropriate actions need to be triggered in order to avoid the violation of QoS and QoE constraints. In this thesis, proper solutions are developed to manage Web services and Web service compositions with regard to QoS and QoE requirements. The Business Process Rules Language (BPRules) was developed to manage Web service compositions when undesired QoS or QoE values are detected. BPRules provides a rich set of management actions that may be triggered for controlling the service composition and for improving its quality behavior. Regarding the quality properties, BPRules allows to distinguish between the QoS values as they are promised by the service providers, QoE values that were assigned by end-users, the monitored QoS as measured by our BPR framework, and the predicted QoS and QoE values. BPRules facilitates the specification of certain user groups characterized by different context properties and allows triggering a personalized, context-aware service selection tailored for the specified user groups. In a service market where a multitude of services with the same functionality and different quality values are available, the right services need to be selected for realizing the service composition. We developed new and efficient heuristic algorithms that are applied to choose high quality services for the composition. BPRules offers the possibility to integrate multiple service selection algorithms. The selection algorithms are applicable also for non-linear objective functions and constraints. The BPR framework includes new approaches for context-aware service selection and quality property predictions. We consider the location information of users and services as context dimension for the prediction of response time and throughput. The BPR framework combines all new features and contributions to a comprehensive management solution. Furthermore, it facilitates flexible monitoring of QoS properties without having to modify the description of the service composition. We show how the different modules of the BPR framework work together in order to execute the management rules. We evaluate how our selection algorithms outperform a genetic algorithm from related research. The evaluation reveals how context data can be used for a personalized prediction of response time and throughput.
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We appreciate the thorough discussion provided by Professor Yuan Ding. His comments raise legitimate issues. In this response, we offer clarifications and suggest avenues for future research. Our response follows the structure of the discussant’s paper and elaborates on each point separately.
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We test for differences in financial reporting quality between companies that are required to file periodically with the SEC and those that are exempted from filing reports with the SEC under Rule 12g3-2(b). We examine three earnings quality measures: conservatism, abnormal accruals, and the predictability of earnings. Our results, for all three measures, show different financial reporting quality for companies that file with the SEC than for companies exempt from filing requirements. This paper provides empirical evidence of a link between filing with the SEC and financial reporting quality for foreign firms.
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To evaluate the effects of a comprehensive outpatient rehabilitation program in chronic heart failure (CHF) on quality of life (QoL) in relation to emotional status and clinical severity of disease.
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This evaluation was performed to assess the effects of a new, comprehensive outpatient rehabilitation program on generic and disease-specific quality of life related to exercise tolerance in stable chronic heart failure patients. Fifty-one patients (aged 59+/-11 years; 84% men) were treated for 12 weeks. Patients underwent optimized drug treatment, exercise training, and counseling and education. At baseline and at the end of the program, functional status, exercise capacity, and quality of life were assessed using the Medical Outcomes Study 36-item Short-Form Health Survey and the Minnesota Living with Heart Failure Questionnaire. Left ventricular ejection fraction and New York Heart Association functional class, as well as measures of physical fitness and walking distance covered in 6 minutes, improved significantly (by 11%-20% and by 58% on average, respectively). Physical functioning (effect size, 0.38; p<0.0001), role functioning (effect size, 0.17; p<0.05), and mental component score (effect size, 0.47; p<0.0001) on the questionnaire improved significantly. Disease-specific quality of life improved in sum score (effect size, 0.24; p<0.0001) and physical component score (effect size, 0.35; p<0.0001). The latter was inversely correlated to improvement in peak power output (r= -0.31; p<0.05). In patients with stable chronic heart failure, significant improvements in both generic and disease-specific quality of life related to improved exercise tolerance can be achieved within 12 weeks of comprehensive rehabilitation.
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Chronic heart failure (CHF) impairs quality of life (QoL) much stronger than other chronic diseases. The objective of this evaluation was to assess the effect of a new integrated comprehensive outpatients rehabilitation program on somatic parameters and quality of life in 51 patients with stable CHF. After rehabilitation, left ventricular ejection fraction, NYHA class, and parameters of sub-maximum and maximum exercise capacity improved significantly between 11 and 20%, and 6-minute walking distance by 58% on average (p < 0.0001). Non-disease specific QoL (Short Form-36 questionnaire) improved in only 2 of 8 subscales (physical functioning [effect size 0.38, p < 0.001], and role functioning [effect size 0.17, p < 0.05]), and a mental component score [effect size 0.47, p < 0.0001]. Disease-specific QoL (Minnesota Living with Heart Failure questionnaire) improved in terms of sum score [effect size 0.24, p < 0.0001], and physical component score [effect size 0.35, p < 0.0001]. Improvement in exercise capacity correlated significantly with improvements in parameters of disease-specific QoL.
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Modeling is an essential tool for the development of atmospheric emission abatement measures and air quality plans. Most often these plans are related to urban environments with high emission density and population exposure. However, air quality modeling in urban areas is a rather challenging task. As environmental standards become more stringent (e.g. European Directive 2008/50/EC), more reliable and sophisticated modeling tools are needed to simulate measures and plans that may effectively tackle air quality exceedances, common in large urban areas across Europe, particularly for NO2. This also implies that emission inventories must satisfy a number of conditions such as consistency across the spatial scales involved in the analysis, consistency with the emission inventories used for regulatory purposes and versatility to match the requirements of different air quality and emission projection models. This study reports the modeling activities carried out in Madrid (Spain) highlighting the atmospheric emission inventory development and preparation as an illustrative example of the combination of models and data needed to develop a consistent air quality plan at urban level. These included a series of source apportionment studies to define contributions from the international, national, regional and local sources in order to understand to what extent local authorities can enforce meaningful abatement measures. Moreover, source apportionment studies were conducted in order to define contributions from different sectors and to understand the maximum feasible air quality improvement that can be achieved by reducing emissions from those sectors, thus targeting emission reduction policies to the most relevant activities. Finally, an emission scenario reflecting the effect of such policies was developed and the associated air quality was modeled.
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Federal Highway Administration, Structures and Applied Mechanics Division, Washington, D.C.
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Cover title.
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"December 1988."--Cover.