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Vaghela, Jitendra H.,Shah, Jigna H.,Patel, Jaladhi H.,Purohit, Bhargav M. The Korean Dental Society of Anesthsiology 2020 Journal of Dental Anesthesia and Pain Medicine Vol.20 No.1
Background: Surgical extraction of third molars is associated with postoperative pain and swelling at the extraction site. Pain is commonly managed using non-steroidal anti-inflammatory drugs (NSAIDs). Postoperative pain is usually moderate to severe in the first 12 h postoperatively and lasts for 3-5 days. However, with NSAIDs, these symptoms usually subside within 24 h. Diclofenac sodium and etodolac are NSAIDs, more selectively cyclooxygenase-2 inhibitors, with good analgesic efficacies. Methods: We compared the safety and analgesic efficacy of diclofenac sodium with etodolac peroral after surgical extraction of third molars in a double-blind, double-dummy, parallel-group study. The subjective pain improvement and pain relief after 2, 6, 24, 48, and 72 h using the visual analogue scale were measured as the study outcome. Results: Etodolac was equivalent to diclofenac sodium in pain alleviation at all postoperative time periods. No significant differences were found between diclofenac sodium and etodolac groups (P > 0.05). Both study medications were well tolerated and safe with mild adverse effects in only a few participants. Conclusion: Diclofenac sodium and etodolac are comparable in terms of analgesic efficacy and safety after surgical removal of third molars.
Hitensinh Vaghela,Vikas Lakhera,Kunal Bhatt,Biswanath Sarkar 한국초전도저온공학회 2021 초전도와 저온공학 Vol.23 No.4
The Cable in Conduit Conductor (CICC) configurations are designed, tested and realized to make high field superconducting (SC) magnets. The evolution of CICC design makes it challenging to forecast thermo-hydraulic behavior. A common objective of thermo-hydraulic studies is to obtain the most reliable predictive correlation for friction factor in CICC geometries and to reduce the dependency on the experiment. So far, only the void fraction and Reynolds number have been considered in the predictive correlations in an explicit way. In the present paper, the CICC twisting pattern dependency, called tortuosity (), on the pressure drop prediction, has been assessed through a numerical simulation approach. The CICC twisting pattern with 6+1 petals (solid conductor in the present study) with different twisting pitches is mimicked in the numerical simulation for the range 100 ≤ Re ≤10000 and 1 < < 1.08 and a correlation for friction factor, f, has been proposed as a function of Re and .
Hitensinh Vaghela,Vikas Lakhera,Kunal Bhatt,Biswanath Sarkar 한국초전도저온학회 2021 한국초전도저온공학회논문지 Vol.23 No.4
The Cable in Conduit Conductor (CICC) configurations are designed, tested and realized to make high field superconducting(SC) magnets. The evolution of CICC design makes it challenging to forecast thermo-hydraulic behavior. A common objective ofthermo-hydraulic studies is to obtain the most reliable predictive correlation for friction factor in CICC geometries and to reducethe dependency on the experiment. So far, only the void fraction and Reynolds number have been considered in the predictivecorrelations in an explicit way. In the present paper, the CICC twisting pattern dependency, called tortuosity ( ), on the pressuredrop prediction, has been assessed through a numerical simulation approach. The CICC twisting pattern with 6+1 petals (solidconductor in the present study) with different twisting pitches is mimicked in the numerical simulation for the range 100 ≤ Re≤10000 and 1 < < 1.08 and a correlation for friction factor, f, has been proposed as a function of Re and .
Dynamic Modeling and Validation of PEM Fuel Cell via System Identification Approach
Pinagapani Arun Kumar,Mani Geetha,Chandran K. R.,Pandian Karthik,Sawantmorye Eshwar,Vaghela Purvil 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
The key issues with non-renewable energy resources are the harmful pollutants they produce. They also pose serious threat to human life and lead to severe atmospheric devastation. Hence, they become non-viable for future generations. With the innovation of fuel cell technology, these diffi culties are wiped out. Fuel Cell technology is considered as the most effi cient and environmental friendly type of energy production. Among the diff erent types of fuel cells, Proton-Exchange Membrane Fuel Cell (PEMFC) is the most distributed type and are widespread in the market, because of its lower operating temperature, reliable performance to frequent load changes, higher effi ciency and good power density. This work primarily focuses on the dynamic modeling and simulation of PEMFC. A voltage model for PEMFC is developed based on experimental data. Estimation of the system model is done by using system identifi cation toolbox in MATLAB. Validation of the estimated model is performed by comparing the estimated model response with fi rst principle nonlinear PEMFC model and with a diff erent real time data.