Modeling of plate flexure satisfying normal stress conditions at the plate surfaces

Modeling of plate flexure, based on cubic variation of inplane displacements and quartic variation of the normal displacement has been discussed. Displacement functions satisfy the zero shear stress condition at top and bottom surfaces of the plate. The normal stress condition at the surfaces of the plate and the elemental equilibrium eqUlltions are enforced through the use of the Lagrangian multipliers in the variational procedure used. Several new models are available as special cases in this formulation. An illustrative example of a simply-supported plate subjected to sinusoidal loading is included to indicate relative merits of the special cases

SIMULTANEOUS METHOD FOR THE ESTIMATION OF BEDAQUILINE AND DELAMANID IN HUMAN PLASMA USING HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY

Objective: A specific, simple and sensitive high-performance liquid chromatographic method for the estimation of Bedaquiline (BDQ) and Delamanid (DLM) in human plasma was developed. Methods: The method involved deproteinization and further extracted the analyte using Solid Phase Extraction (SPE) cartridge and analysed using C18 column with the wavelength set at 231 nm. The isocratic mobile phase consisted of 10 mmol ammonium acetate buffer containing 0.25% acetic acid and 0.02% trifluoroacetic acid and acetonitrile in the ratio of 20:80(v/v). The validation parameters were evaluated. The method was applied to estimate plasma BDQ and DLM collected from five MDR-TB patients. Results: Well resolved peaks of BDQ and DLM at retention times of 5.4 and 2.6 min were obtained respectively. The calibration curve was linear over a range of 0.01–10.0 µg/ml for both BDQ and DLM. The intra-and inter-day relative standard deviations for standards were below 10%. The recoveries for BDQ ranged from 101% to 107% and 98% to 107 % for DLM respectively. Conclusion: A specific and sensitive method for simultaneous determination of BDQ and DLM in plasma using high-performance liquid chromatography was developed. This method can be used in clinical studies to evaluate drug exposure

Comparative Study of Industrial and Consumer Sales Communications Process: Through Print Advertisements

Mass Communication

QUANTITATION OF METFORMIN IN URINE BY RP-HPLC METHOD AND ITS APPLICATION IN PHARMACOKINETICS

Objective: To develop and validate an easy and sensitive HPLC method for quantitation of metformin in urine. Methods: The technique involved deproteinisation of urine sample with methanol and analysis of the supernatant the usage of Zorbax 300–SCX, 4.6 X 150 mm ID, 5 µm particle size and UV detection at a wavelength of 233 nm. Results: The assay was specific for metformin and linear from 1.25 to 50.0μg/ml. The relative standard deviation of intra-and inter-day assays was lesser than 7%. The recovery of metformin from urine ranged from 97-103%. Conclusion: An easy and sensitive HPLC approach for quantitation of metformin in urine had been developed. Due to its simplicity in sample preparation and instrumentation, this technique can be used for pharmacokinetic studies of metformin in urine samples

On randomness of compressed data using non-parametric randomness tests

Four randomness tests were used to test the outputs (compressed files) of four lossless compressions algorithms: JPEG-LS and JPEG-2000 algorithms are image-dedicated algorithms, while 7z and Bzip2 algorithms are generalpurpose algorithms. The relationship between the result of randomness tests and the compression ratio was investigated. This paper reports the important relationship between the statistical information behind these tests and the compression ratio. It shows that, this statistical information almost the same at least, for the four lossless algorithms under test. This information shows that 50 % of the compressed data are grouping of runs, 50% of it has positive signs when comparing adjacent values, 66% of the files containing turning points, and using Cox-Stuart test, 25% of the file give positive signs, which reflects the similarity aspects of compressed data. When it comes to the relationship between the compression ratio and these statistical information, the paper shows also, that, the greater values of these statistical numbers, the greater compression ratio we get

Electronic Theses and Dissertations and Academia: A Preliminary Study From India

This paper outlines the current state of doctoral theses collections in India, their usage, problems with access, and the academic and research community’s attitude towards digital archiving and electronic publishing in Indian universities

Electronic Theses and Dissertations and Academia: A Preliminary Study From India

This paper outlines the current state of doctoral theses collections in India, their usage, problems with access, and the academic and research community’s attitude towards digital archiving and electronic publishing in Indian universities

An Improved Video Object Segmentation and Tracking based on Features using Threshold Filtering Technique

Video object segmentation and tracking is significant research topic in a video surveillance application. Recently, many researches has been developed for video object segmentation and detection, however, the video object segmentation based on features like shape, texture, intensity was not efficiently performed. In this paper, an Improved Threshold Filtered Video Object Detection and Tracking (ITFVODT) framework is designed for efficient video object segmentation based on their features like shape, texture, intensity and tracking of moving objects. ITFVODT framework initially takes video file as input. Then, ITFVODT framework segments the video frames based on shape, texture, intensity of image. After the object segmentation, filtering technique is applied for tracking the video objects. Filtering technique is used in ITFVODT framework for improving the video quality by reducing mean square error. Finally, ITFVODT framework performed the video objects detection task with help of Thresholding technique which in turn improves the video object detection accuracy. The proposed ITFVODT framework using video images obtained from Internet Archive 501(c) (3) for conducting experiment. The performance of ITFVODT framework is tested with the metrics such as object segmentation accuracy, Peak Signal to Noise Ratio, object tracking accuracy, Mean Square Error and object detection accuracy of moving video object frames. Experimental analysis shows that the ITFVODT framework is able to improve the video object segmentation accuracy by 12% and also improve video object detection accuracy by 17% when compared to the state-of-the-art works