High-fidelity Simulation of Jet Noise from Rectangular Nozzles

This Phase II project validated a state-of-the-art LES model, coupled with a Ffowcs Williams-Hawkings (FW-H) far-field acoustic solver, to support the development of advanced engine concepts. These concepts include innovative flow control strategies to attenuate jet noise emissions. The end-to-end LES/ FW-H noise prediction model was demonstrated and validated by applying it to rectangular nozzle designs with a high aspect ratio. The model also was validated against acoustic and flow-field data from a realistic jet-pylon experiment, thereby significantly advancing the state of the art for LES

IMPACT OF TANNERIES ON GROUND WATER CONTAMINATION IN UNNAO DISTRICT

Attempt is made to understand the impact of tanneries on ground water quality of Unnao. Study was undertaken to evaluate physico-chemical parameters and chromium, lead iron concentration in ground water near tannery industries. The results revealed that only two parameters fluoride and chromium are present in slight high concentration than permissible limit. Ground water quality % sample compliance / violation with respect to BIS standard were also studied

Evaluating NIST Metric for English to Hindi Language Using ManTra Machine Translation Engine

Abstract: Evaluation of MT is required for Indian languages because the same MT is not works in Indian language as in European languages due to the language structure. So, there is a great need to develop appropriate evaluation metric for the Indian language MT. The present research work aims at studying the Evaluation of Machine Translation Evaluation's NIST metric for English to Hindi for tourism domain using the output of ManTra, a translation system. Machine Translation Evaluation has been widely recognized by the Machine Translation community. The main objective of MT is to break the language barrier in a multilingual nation like India

Base Flow Model Validation

A method was developed of obtaining propulsive base flow data in both hot and cold jet environments, at Mach numbers and altitude of relevance to NASA launcher designs. The base flow data was used to perform computational fluid dynamics (CFD) turbulence model assessments of base flow predictive capabilities in order to provide increased confidence in base thermal and pressure load predictions obtained from computational modeling efforts. Predictive CFD analyses were used in the design of the experiments, available propulsive models were used to reduce program costs and increase success, and a wind tunnel facility was used. The data obtained allowed assessment of CFD/turbulence models in a complex flow environment, working within a building-block procedure to validation, where cold, non-reacting test data was first used for validation, followed by more complex reacting base flow validation

Space Propulsion Design and Analysis

This software provides an improved methodology for predicting launcher base pressure and heat loads for RSRM (Reusable Solid Rocket Motor) launchers by accounting for complex anisotropic stress/strains and variable turbulent Prandtl and Schmidt numbers. A "building block" approach to turbulence model development, and validation has been applied for improved missile/launcher base region analysis. Modifications to existing kappa - epsilon turbulence models and application of scalar variance models are incorporated into a RANS-based method for aeropropulsive flow modeling, directly related to base flow methodology. (RANS stands for Reynolds-averaged Navier-Stokes.) The models are applied in a RANS solver framework and can improve analysis of other complex flow fields. The enhanced models provide a more accurate predictive capability for improving the design and analysis of RSRM launcher configuration. The kappa - epsilon model enhancements have been shown to improve the capability for predicting turbulence effects in base blow environments. The scalar variance models have been assessed over a wide range of flow configurations to improve prediction of turbulent scalar mixing

Ensemble quantum-information processing by NMR: implementation of gates and the creation of pseudopure states using dipolar coupled spins as qubits

Quantum-information processing is carried out using dipolar coupled spins and high-resolution nuclear magnetic resonance (NMR). The systems chosen are the dipolar coupled methyl protons of CH3CN partially oriented in a liquid crystalline matrix yielding a two-qubit system and dipolar coupled 13C and methyl protons of 13CH3CN also partially oriented in the liquid crystalline matrix, yielding a three-qubit system. The dipolar coupled protons of oriented CH3 group are chemically and magnetically identical and their eigenstates can be divided into a set of quartet states (symmetric A) and a pair of doublet (E) states. We describe here a method for selectively retaining the magnetization of the symmetric states, yielding two and three qubit systems. We create pseudopure states using single-quantum-transition selective pulses and implement two- and three-qubit gates using one- and two-dimensional NMR

Toward quantum information processing by nuclear magnetic resonance: pseudopure states and logical operations using selective pulses on an oriented spin <SUP>3/2</SUP> nucleus

Nuclear magnetic resonance spectroscopy has demonstrated significant experimental progress toward the development of quantum computations. The developments so far have taken place mainly through the use of spin ½ nuclei. In this paper we describe the use of a spin math nucleus, oriented in a liquid crystal matrix for the creation of pseudopure states and the implementation of a complete set of two-qubit reversible logic gates using single-quantum transition-selective pulses, extending the range of practice of NMR toward quantum computation

Russel’s score and diabetes mellitus type 2 “finding the association”: a cross sectional study from one of the districts in Bihar, India

Background: Diabetes has been on the rise since last decade or so with prevalence rate changing as more research is being done. India is one of the most burdened country from diabetes specially type 2. With changing life style other diseases are also on the rise and evidence is being generated to find tangible association. One such disease is periodontitis. As evidence from the State of Bihar for association between periodontitis and diabetes mellitus is negligible this study was conducted to find the same.Methods: A cross sectional observational study in community settings was done for three months on 200 diabetic willing participants. Data was generated using a semi structured pretested questionnaire. Data analysis was done using SPSS version 22.0 and statistical measures of central tendency like mean, mode, median and standard deviation were used.  For establishing association chi square tests were used. P values<0.05 were considered to be statistically significant.Results: 61.5% of the participants were male while 65.5% were from rural area. The study population was on an average on the older side with a mean age of 52±12.15 and on the bulky size with a BMI of 28.85±4.08. Authors got the average Russel’s score to be 1.1±1.79. The mean blood sugar level for fasting was 146.40±59.99 and post prandial levels was 211.59±82.49. A Russel score category of established periodontal disease and terminal disease was present in 77.5% of participants having an altered fasting blood sugar level. Majority of the males had established periodontal disease and terminal disease. Patients with elevated postprandial blood sugar levels had more established periodontal disease and terminal disease.Conclusions: Oral health is definitely associated with diabetes mellitus type 2 and its other factors like duration, glycaemic control, blood sugar levels etc. Public awareness regarding this is minimal. More research and awareness regarding this will help in keeping the diabetic population healthy