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- 저자 : Raosaheb (검색결과 4 건)
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Analytical comparison of optimal replacement policies for uncertain parameters
Raosaheb V. Latpate,Babasaheb K. Thorve 한국신뢰성학회 2018 International Journal of Reliability and Applicati Vol.19 No.1
In this study we present a two replacement policies, first based on the number of down times, k of the system such that the long run expected reward per unit time is maximized and second is based on number of failures, N of component 1 such that long run expected reward per unit time is maximized. For the first policy system can be replaced when the number of down times for the system reaches k and for the second policy system can be replaced when number of failure of the component 1 reaches to N . We consider a cold standby system with identical components and failure rate of components are relatively large (overloaded system). Triangular fuzzy numbers are used to represent failure and repair rates as they allow expert opinion, linguistic variables, operating conditions, uncertainty and imprecision in information, to be incorporated into system model. It is assumed that the working time and repair time for the component have independent exponential distribution. The expression for long run expected reward per unit time for a renewal cycle is derived and illustrated proposed policies with numerical examples and simulation study. Also compare two policies by using simulation method.
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Ajinath Nanasaheb Jadhav,Pooja Raosaheb Tarte 대한구강악안면외과학회 2019 대한구강악안면외과학회지 Vol.45 No.4
Objectives: Medically compromised patients often fear required dental surgical procedures that can increase the risk of medical emergency when combined with reduced tolerance for stress. A stress reduction protocol (SRP) helps doctors minimize treatment-related stress and improves patient management with minimum complications. Diabetes and co-morbid hypertension carry 4-fold risk of aggravation of cardiovascular emergencies and 7.2-fold risk of mortality. Diabetic neuropathy can result in difficult diagnosis of myocardial infarction and reduces chances of surviving a myocardial infarction compared with a non-diabetic person. The aim of the study was to assess the feasibility of a protocol for management of patients having both diabetes and hypertension who required minor oral surgery to minimize the rate of cardiovascular emergencies. Materials and Methods: A prospective study was conducted in 140 patients having both diabetes and hypertension who required minor oral surgical procedures. A systematic approachable protocol was designed for management of such patients. Results: Among 140 patients, 6 patients (4.3%) had cardiovascular complications, while 3 patients (1 with syncope and 2 with hypertension) did not require any intervention other than observation. Two patients were managed with aspirin and nitroglycerin, and 1 patient had possible myocardial infarction (overall incidence 0.7%) with chest pain, S-T segment elevation on electrocardiogram, and troponin level of 0.60 ng/mL. Conclusion: The proposed protocol helps to improve management of patients having both diabetes and hypertension. We recommend that patients with uncontrolled diabetes and uncontrolled hypertension and/or patients having history of cardiovascular complication should be treated in a medical facility with a readily available cardiology unit. This facilitates prompt response to emergency and instant implementation of treatment, helping to reduce morbidity and mortality.
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The Role of High-throughput Transcriptome Analysis in Metabolic Engineering
Jens Nielsen,Ana Paula Oliveira,Kiran Raosaheb Patil,Michael C. Jewett 한국생물공학회 2005 Biotechnology and Bioprocess Engineering Vol.10 No.5
The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied in strain improvement programs in an attempt to identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns. This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehen-sively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more ef-fective strategies to rewire the cellular control elements for metabolic engineering.
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The Role of High-throughput Transcriptome Analysis in Metabolic Engineering
Jewett, Michael C.,Oliveira, Ana Paula,Patil, Kiran Raosaheb,Nielsen, Jens The Korean Society for Biotechnology and Bioengine 2005 Biotechnology and Bioprocess Engineering Vol.10 No.5
The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.
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