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Synthesis and characterization of anti-infective agents Sharma, Monika; Sharma, Sonu; Arora, Neha; Sharma, Shreya; Matta, Yogesh; Sharma, Sharad
Journal of Applied Pharmaceutical Research Vol. 7 No. 4 (2019)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1018.787 KB) | DOI: 10.18231/j.joapr.2019.v.7.i.4.002

Abstract

Antifungal chemotherapy depends on bio-chemical alterations between fungi and mammals. Unlike bacteria, which are prokaryotes, both fungi and mammals are eukaryotes and the biochemical differences between them are not significant. However, there are some differences (in structure & metabolism) and focus is on these differences that act as targets for development of antifungal agents. The current recommendation of standard TB chemotherapy, called Directly observed treatment (DOTS) is a therapy of six month in which consists an first two-month phase of cure with four first-line drugs i.e. isoniazid, Rifampicin, Pyrazinamide, and Ethambutol. In this study large number of compounds is manufactured in which Most of the tested molecules showed maximum bacteriological growth inhibition at tested concentration. The combinations (7e, 7g, 7h, 7i and 7u) exhibited bacteriological growth inhibition at concentration of less than 40.0μg/ml against both microorganisms. Compounds (7o) showed growth of inhibition at 2.5μg/ml against both microorganisms. Additional challenging for all compounds at lower concentrations is mandatory to compare their activity through standard Streptomycin at its MIC to get exact MIC the manufactured combinations. Thus it can be concluded that designed 1, 3, 4-oxadiazole derivatives (7a-v) were manufactured successfully using planned synthetic outline. After manufactured the molecules were characterized using spectroscopy analysis and tested for the biological activity. All combinations showed anti-bacterial action at tested concentration against both gram positive and gram negative organisms and one of the compound 7o showed activity at concentration <2.5 μg/ml. Thus, these 1, 3, 4-oxadiazole results can then act as a potential principal for drug discovery of novel anti-infective agents.
Development, standardization of polyherbal formulation of analgesic ointment of plant Carum copticum, Mentha piperita, Cedrus deodara Sharma, Sharad; Sharma, Sonu; Pradhan, Pankaj; Pathak, Shailesh; Sharma, Monika
Journal of Applied Pharmaceutical Research Vol. 8 No. 1 (2020)
Publisher : Creative Pharma Assent

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.743 KB) | DOI: 10.18231/j.joapr.2019.v.8.i.1.004

Abstract

Ayurveda is one of the world’s oldest systems of medicine. It originated in India and has evolved there over thousands of years. The term “Ayurveda” combines then Sanskrit words ayur (life) andVeda (science or knowledge). Ayurveda means “the science of life. Medicinal plants and herbal drugs have played a key role in world health. According to world health organization (WHO), about 80% of the world population currently utilizes the herbal drugs. People are using herbal medicines from centuries for safety, efficacy, cultural acceptability, non-toxic, lesser side effects and easily available at affordable prices. In recent times, there has been a move in universal trend from synthetic to herbal medicine due to side effects of synthetic products. Herbal products may contain a single herb or combinations of several different herbs believed to have complementary and /synergistic effects. Some herbal products, including many traditional medicine formulations, also include animal products and minerals. Herbal products are sold as either raw plants or extracts of portions of the plant or in the form formulation i.e. tablet, capsule, syrup, cream and ointment etc. The different parts of plants with analgesic were taken up for the present study and investigated for the phytochemical screening and used for the formulation of analgesic ointment. Present study deals with formulation, Standardization, evaluation of ointment made from alcoholic extract and essential oil of different plants.
Moving objects detection based on histogram of oriented gradient algorithm chip for hazy environment Sharma, Monika; Kaswan, Kuldeep Singh; Yadav, Dileep Kumar
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp604-615

Abstract

The most important aspects of computer vision are moving object detection (MOD) and tracking. Many signal-processing applications use regional image statistics. Compute-intensive video and image processing with low latency and high throughput is done with field programmable gate array (FPGA) image processing. Local image statistics are used for edge identification and filtering. The histogram of oriented gradients (HoG) algorithm extracts local shape characteristics by equalizing histograms. The objective of the work is to design the hardware chip of the algorithm and perform the simulation in the Xilinx ISE 14.7 simulation environment. The performance of the chip is evaluated in Modelsim 10.0 simulation software to check its feasibility. The performance of the chip design is estimated on Viretx-5 FPGA and compared with the MATLAB-2020 image processing tool-based response time. This form of tracking typically deals with identifying, anchoring, and tracking images and videos. A mask made from a cut-out of the object can then determine the plane's coordinates depending on its position. This type of object tracking is frequently utilized in the field of augmented reality (AR). The algorithm is most suited for object detection using hardware controllers in haze and foggy environments.
Performance comparison of optical flow and background subtraction and discrete wavelet transform methods for moving objects Sharma, Monika; Kaswan, Kuldeep Singh; Yadav, Dileep Kumar
IAES International Journal of Robotics and Automation (IJRA) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v14i1.pp93-102

Abstract

Self-driving cars and other autonomous vehicles rely on systems that can recognize and follow objects. The ways help people make safe decisions and navigate by showing things like people, cars, obstacles, and traffic lights. Computer vision algorithms encompass both object detection and tracking. Different methods are specifically developed for picture or video analysis not only to identify items within the visual content but also to accurately determine their precise locations. This can operate independently as an algorithm or as a constituent of an item-tracking system. Object tracking algorithms can be used to follow objects over video frames, providing a contrasting approach. The research article focuses on the mathematical model simulation of optical flow, background subtraction, and discrete wavelet transform (DWT) methods for moving objects. The performance evaluation of the methods is done based on simulation response time, accuracy, sensitivity, and specificity doe several images in different environments. The DWT has shown optimal behavior in terms of the response time of 0.27 seconds, accuracy of 95.34 %, selectivity of 95.96 %, and specificity of 94.68 %.