Snake Venom Phospholipase A2 and its Natural Inhibitors

Rahul Shrivastava,Mohammad Yasir,Ruchi Khare,Manish Kumar Tripath,Rahul Shrivastava 한국생약학회 2020 Natural Product Sciences Vol.26 No.4

Snakebite is a severe medical, economic, and social problem across the world, mostly in the tropical and subtropical area. These regions of the globe have typical of the world's venomous snakes present where access to prompt treatment is limited or not available. Snake venom is a complex mixture of toxin proteins like neurotoxin and cardiotoxin, and other enzymes like phospholipase A2 (PLA2), haemorrhaging, transaminase, hyaluronidase, phosphodiesterase, acetylcholinesterase, cytolytic and necrotic toxins. Snake venom shows a wide range of biological effects like anticoagulation or platelet aggregation, hemolysis, hypotension and edema. Phospholipase A2 is the principal constituent of snake venom; it catalyzes the hydrolysis of the sn-2 position of membrane glycerophospholipids to liberate arachidonic acid, which is the precursor of eicosanoids including prostaglandins and leukotrienes. The information regarding the structure and function of the phospholipase A2 enzyme may help in treating the snakebite victims. This review article constitutes a brief description of the structure, types, mechanism occurrence, and tests of phospholipase A2 and role of components of medicinal plants used to inhibit phospholipase A2.

Performance of Overall Gain in the Network by Varying Antenna Transmission Power with the Different Pause Time

Surabhi Shrivastava,Laxmi Shrivastava 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.3

The characteristic of changing topology without a fixed infrastructure and lacking of any centralization is mobile adhoc networking (MANET).The communication between mobile nodes uses multihop wireless links. In the network; nodes act as router and forwarding data packets to other nodes behaving as intermediate node. Routing protocols plays an important role to facilitate communication within the network. In this paper we have compared different transmission power by varying antenna height. Simulation results shown in AODV routing protocol in term of the metrics: Throughput, Average end to end delay, Average jitter. The results are showing various changes due to change in the selected parameters, which are performance parameters of the network.

Real-time label-free quantitative fluorescence microscopy-based detection of ATP using a tunable fluorescent nano-aptasensor platform

Shrivastava, Sajal,Sohn, Il-Yung,Son, Young-Min,Lee, Won-Il,Lee, Nae-Eung The Royal Society of Chemistry 2015 Nanoscale Vol.7 No.46

<▼1><P>Although real-time label-free fluorescent aptasensors based on nanomaterials are increasingly recognized as a useful strategy for the detection of target biomolecules with high fidelity, the lack of an imaging-based quantitative measurement platform limits their implementation with biological samples.</P></▼1><▼2><P>Although real-time label-free fluorescent aptasensors based on nanomaterials are increasingly recognized as a useful strategy for the detection of target biomolecules with high fidelity, the lack of an imaging-based quantitative measurement platform limits their implementation with biological samples. Here we introduce an ensemble strategy for a real-time label-free fluorescent graphene (Gr) aptasensor platform. This platform employs aptamer length-dependent tunability, thus enabling the reagentless quantitative detection of biomolecules through computational processing coupled with real-time fluorescence imaging data. We demonstrate that this strategy effectively delivers dose-dependent quantitative readouts of adenosine triphosphate (ATP) concentration on chemical vapor deposited (CVD) Gr and reduced graphene oxide (rGO) surfaces, thereby providing cytotoxicity assessment. Compared with conventional fluorescence spectrometry methods, our highly efficient, universally applicable, and rational approach will facilitate broader implementation of imaging-based biosensing platforms for the quantitative evaluation of a range of target molecules.</P></▼2>

IMPACT OF UV RADIATION SENSITIVITY ON DERMATOPHYTES (Microsporum boullardii)

Shrivastava, J.N.,Satsangi, G.P.,Jain, Shradha Korean Society of Photoscience 2002 Journal of Photosciences Vol.9 No.2

An experiment has been conducted to measure the impact of UV radiation sensitivity on dermatophytes (Microsporum boullardii) by different UV radiation exposure time interval (1 min, 2 min 5 min, 10 min and 20 min) in degradation of keratin (Feather) in growth promoting substances of protein, cysteine, cystine and methionine from 7 to 28 days of incubation period. Mutant strain caused maximum weight loss with 1 minutes of UV radiation exposure at 21 day and mutant strain became immune in sensitivity at 14 days for decomposition of feathers. Maximum protein caused at 21st days with 20 minutes U.V radiation exposure and immune sensitivity had deducted with other UV radiation exposure time. On 28 days, mutant strains became immune with all exposure times, Whereas maximum methionine caused at 21st days with 20 minutes UV radiation exposure. Maximum cysteine caused at $14^{th}$ day with 5 minutes UV radiation exposure and mutant strain showed immune response at all time periods. Cystine production was also followed by cysteine at 21 day and also showed complete immune response with 1 and 2 minutes UV radiation exposure at7 and 14 days. Thus mutant strain of Microspornm boullardii can be used as a biotechnological tool for production of growth promoting substances.

ON SOME NEW RESULTS INVOLVING DOUBLE AND TRIPLE HYPERGEOMETRIC FUNCTIONS

Shrivastava, B.M. Department of Mathematics 1976 Kyungpook mathematical journal Vol.16 No.2

Effect of thymus extract on the activation of cytotoxic and accessory functions of tumor-associated macrophages

Shrivastava, Pratima,Singh, Sukh Mahendra,Singh, Nisha Kyung Hee Oriental Medicine Research Center 2004 Oriental pharmacy and experimental medicine Vol.4 No.1

The present investigation was under taken to study whether the tumor-associated macrophages (TAM) of Daltons lymphoma (DL), a spontaneous transplantable murine T cell lymphoma can be activated to tumoricidal state by crude thymus extract. Intraperitoneal administration of thymus extract to DL-bearing mice resulted in activation of TAM with an enhanced IL-1, TNF and antigen presenting ability. It was found that treatment with thymus extract could also enhance the phagocytic and cytotoxic activity of TAM. However, only a marginal increase in arginase activity was observed. Till date to the best of our knowledge the effect of crude thymus extract on the activation of tumor associated macrophages has not been investigated, this study provides a new piece of information in the area of thymus therapy.

New Data Driven Scheme for Real-Time Power System Transient Stability Assessment

Shrivastava Divya Rishi,Siddiqui Shahbaz A.,Verma Kusum 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3

A computational efficient and precise approach for real-time power system transient stability assessment (TSA), with post disturbance synchronized data is proposed in this paper. An empirical wavelet transform (EWT), Teager Kaiser energy changes (TKE) and Random Forest (RF) based new scheme is proposed to assess TSA. Based on the generator bus frequency and angles, a novel Robust Transient Stability Index (RTSI) is proposed to capture real-time status of power network. The EWT is utilized to decompose the proposed multi-component index into various intrinsic mode functions (modes). Subsequently, instantaneous energy change within each mode is calculated using Teager–Kaiser energy operator (TKEO). The energy changes in each mode defines decision boundary between transient stable and unstable operating scenario. Finally, for each mode, standard deviation of these energy changes is obtained to measure the variations in energy change about mean value. The Random Forest classification scheme is developed to obtain the TSA in real-time. The developed classifier predicts TSA using standard deviation of these energy changes. Simulation results and comparison with relevance minimum redundancy arithmetic, deep imbalanced learning framework and improved support vector machine methods demonstrates capability of the proposed scheme.

우크라이나 기업인들의 고군분투

RASHI SHRIVASTAVA 중앙일보에스 2022 Forbes Korea = 포브스 코리아 Vol.2022 No.4

Wormhole Attack in Mobile Ad-hoc Network : A Survey

Akansha Shrivastava,Rajni Dubey 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7

Security is the one of the major issue that exists in Mobile Ad hoc network. Mobile Ad hoc network is infrastructure less network so it is vulnerable to several security attacks that are on different layers. Wormhole attack is one of the serious routing attack on network layer. This paper focuses on the wormhole attack, its classification and the modes by which they are launched. This paper summarizes various detection techniques proposed for wormhole attack and also present the effect of wormhole attack on various performance parameters.

Genetic Based Hesitation Information Mining for Profitability Management

Prateek Shrivastava,Akhilesh Tiwari 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6

Traditional Association Rule Mining has been extensively used to discover interesting rules or relationships between items in large databases but it has limitations that it solely deals with the items or products that are sold but avoids the items that are nearly sold. These nearly sold things carry hesitation data since customers are indecisive to shop for them. In this paper, with the help of vague set theory, we describe that item’s hesitation information is precious knowledge for the design of profitable selling strategies. This work proposed Genetic Algorithm based on evolution principles that has found its strong base in mining or maximize the rules for the items that customers mostly hesitate to purchase or has a high percentage of hesitation because of some reasons like price of an item, quality of an item, etc. Fitness function, crossover, and mutation are the main parameters involved in Genetic Algorithm which we used in our work. This work describes that if the reason of giving up the items is identified and resolved, we can easily remove this hesitation status of a customer and considering newly evolved rules as the interesting ones for boosting the sales of the item.