PHYTOCHEMICAL SCREENING AND ANTIOXIDANT POTENTIAL OF PTEROCARPUS SANTALINUS L.F. PLANT PARTS

Objective: Oxidation is a normal process in many biological metabolisms in living beings, but in this technology era radiation, pollution, irregular life style, and unhealthy diet leads to excessive oxidation resulting in imbalance between antioxidants and free radicals in body called oxidative stress, which may result in cardiac problems, diabetes, and carcinogenic diseases. Therefore, exploration of natural antioxidants in flora and fauna is becoming important. In this motive a phytochemical study was taken up on various parts of Pterocarpus santalinus L.f. plant belonging to Leguminosae family to check the presence of antioxidant activity (AA). Methods: The leaves, flowers, fruits, and roots of this plant were extracted with six different organic solvents from polar to non-polar. To estimate the AA of these extracts, four types of antioxidant tests were done on them, namely, α, α – Diphenyl – β – Picryl - Hydrazyl free radical scavenging activity (DPPH RSA) assay, relative reducing power (RRP) assay, Ferric thiocyanate (FTC) assay, and β - carotene bleaching assay with Butylated Hydroxy Toluene (BHT) as synthetic standard. Results: In extraction, Me extracts showed highest yields. Qualitative phytochemical screening has revealed many bioactive components in the Me and Et extracts of plant parts majorly. In DPPH RSA assay, Me extracts of leaves showed RSA activity almost equal to reference standard. In RRP assay, Me floral extracts showed AA higher than standard. FTC and β – Carotene assays showed that Me sample extracts possess good AA than BHT. In FTC assay, lower absorption values specify high AA, whereas in β – Carotene assay, high absorption values indicate high AA of the sample extracts. Conclusion: Among six solvents methanol showed highest extraction efficiency and also revealed highest number of phytochemicals in its extracts. These four AA assays revealed that the methanol extracts of all plant parts, that is., leaves, roots, fruits, and flowers possess better AA compared other solvent extracts

Spoof detection using time-delay shallow neural network and feature switching

Detecting spoofed utterances is a fundamental problem in voice-based biometrics. Spoofing can be performed either by logical accesses like speech synthesis, voice conversion or by physical accesses such as replaying the pre-recorded utterance. Inspired by the state-of-the-art \emph{x}-vector based speaker verification approach, this paper proposes a time-delay shallow neural network (TD-SNN) for spoof detection for both logical and physical access. The novelty of the proposed TD-SNN system vis-a-vis conventional DNN systems is that it can handle variable length utterances during testing. Performance of the proposed TD-SNN systems and the baseline Gaussian mixture models (GMMs) is analyzed on the ASV-spoof-2019 dataset. The performance of the systems is measured in terms of the minimum normalized tandem detection cost function (min-t-DCF). When studied with individual features, the TD-SNN system consistently outperforms the GMM system for physical access. For logical access, GMM surpasses TD-SNN systems for certain individual features. When combined with the decision-level feature switching (DLFS) paradigm, the best TD-SNN system outperforms the best baseline GMM system on evaluation data with a relative improvement of 48.03\% and 49.47\% for both logical and physical access, respectively

Proposed drug interventions for SARS CoV 2 infection

As the pandemic has already taken lots of lives across the globe, there’s an urgent need for finding treatment options that might help in protection of infected people by either slowing or preventing the progression of the disease. It’s important to understand the structure of virus, the mechanism by which it enters the host cell, replicates and infects other cells causing progression of the disease. This article focuses on use of already available and approved drugs for treatment of corona virus based on their mechanism of action and the structure and the life cycle of the virus.

Security in 5G Networks: A Systematic Analysis of High-Speed Data Connections

Maximum user systems on 5G networks will now not be consumer phones or computers, but IoT device. Via 2021, there might be about 30 billion such devices. The quantity of attacks on the IoT is growing. Device protection is terrible and malware distribution is without problems scalable. Protection has ended up the primary challenge in many telecommunications industries these days as risks may have high outcomes. especially, because the center and enable technologies might be related to the 5G network, the confidential information will pass at all layers in destiny Wi-Fi structures. Even with modern-day 4G networks, now not each operator succeeds in securely configuring the center network and protecting it from all angles. As SDN and NFV are carried out for network cutting in 5G, the administration will become even extra difficult. Flexibility in 5G networks comes at the fee of multiplied complexity and high bandwidth communication settings to monitor. 5G will offer broadband access anywhere, entertain better person mobility, and permit connectivity of a large number of devices in an ultra- reliable and low-priced manner. Furthermore, we present protection solutions to those demanding situations and future instructions for secure 5G systems

Configuring and Implementing IPS Solutions for IoT Devices using NST

The necessity to ensure that Internet of Things (IoT) networks are secure is one of the biggest issues that has arisen as a result of the growing demand for technology that uses the IoT. Considering how many gadgets are linked to the internet, safeguarding their networks is a growing worry. Due to the IoT's network's complexity and resource constraints, traditional intrusion detection systems encounter a number of problems. The main objectives of this project are to design, develop, and evaluate a hybrid level placement method for an IDS based on multi- agent systems, BC technology (Block-Chain), and DL algorithms (Deep Learning). The breakdown of data administration, data collection, analysis, and reaction into its component parts reveals the overall system design. The National Security Laboratory's knowledge discovery and data mining dataset is used to test the system as part of the validation procedure. These results demonstrate how deep learning algorithms are effective at identifying risks at the network and transport levels. The experiment shows that deep learning techniques function well when used to find intrusions in a network environment for the Internet of Things

Dynamics of Crossover from a Chaotic to a Power Law State in Jerky Flow

We study the dynamics of an intriguing crossover from a chaotic to a power law state as a function of strain rate within the context of a recently introduced model which reproduces the crossover. While the chaotic regime has a small set of positive Lyapunov exponents, interestingly, the scaling regime has a power law distribution of null exponents which also exhibits a power law. The slow manifold analysis of the model shows that while a large proportion of dislocations are pinned in the chaotic regime, most of them are pushed to the threshold of unpinning in the scaling regime, thus providing insight into the mechanism of crossover.Comment: 5 pages, 3 figures. In print in Phy. Rev. E Rapid Communication

Performance Evaluation of wide Bandwidth RF Signal Generator Chip

The work in this paper is to give an overview of the compact wide band RF signal generator board design, emphasizing on the analyses and evaluation of the performance characteristics corresponding to the output signal purity and stability. The paper describes the design aspects involved in developing a reliable RF generating source which includes details regarding the factors that have taken care for optimum output power, spectral purity and noise performance. The simulation results obtained from the tool given by Maxim integrated are used as reference to evaluate the actual board when it is realised. These results are shown here for reference. Design aspects such as the power supply, noise filtering, loop filter component selection board layout consideration along with easy and compact form factor is considered. The board contains not only the signal generator device but also an FPGA from Xilinx to control the device, to make the board more useful for future applications; the board also has an SDRAM and an USB controller. This paper mainly concentrates on to MAX2870 signal generator and simulation results obtained by EE-Sim tool. Since the actual board is still in the process of being developed, the comparison of the actual performance to the simulation performance may not be possible at this point of time but definitely is in pipeline

EFFECT OF BALA SIDDHA TAILA MATRA BASTI AND YONI PICHU IN ACHIEVING SUKHPRASAVA: A CASE STUDY

Background: A primigravida female patient of age 22 years came to NIA Prasuti ward on date 25th August 2019 with chief complaint of Amenorrhea since 9 months and labor pain since morning with no history of leaking and bleeding per vaginal. Methodology: The patient first visited NIA OPD on 2nd April 2019 for routine Antenatal check up with 5th months of pregnancy. Thereafter she was regularly visiting NIA Prasutitantra OPD for her routine ANC check up and was given routine Ayurvedic anetanatal medications like Mukta Shukti Bhasma and Shatawari churna with milk, Punarnawa Mandoor with buttermilk. She also followed all prenatal advice given to her time to time. The patient had not reported any complication related to pregnancy, or medical problems and side-effects of medications during her course of pregnancy. Patient had given Bala siddha Taila Matra Basti from 37 weeks of gestation twice a week up to the delivery and Bala siddha Taila Yoni Pichu during her active phase of labor up to full dilatation of cervix. Result: A full term normal delivery with right medio-lateral episiotomy with vertex presentation delivered an alive healthy male child of weight 2.7kg on 25th August 2019 at 2:00pm

A CRITICAL ANALYSIS OF SOUMANASYAM GARBHADHARANANAM SHRESTAM

World Health Organization defines the health as a State of physical, psychological, social and spiritual wellbeing, not merely the absence of disease, the same thought of holistic approach of health conceived some centuries ago by the oriental intellectuals especially Ayurvedic classics with the beautiful definition : Samadosha samagnicha samadhatu malakriya, Prasannathmendriya mana: swasthaithiabhidheeyate†which shows the in depth foresight towards physiological as well as psychological state in maintaining the positive health. The mental equilibrium is also needed for conception (Garbhavakranti), development of the foetus (Garbhavridhi).The present paper attempts to analyze and establish the role of Mano samyata in Garbhavakranti (conception), Garbhinicharya (antenatal care) and Garbhavridhi (fetal development) through the immune –Nervous –Endocrine orchestra