A critical review on keeta visha: an ayurvedic approach

Indian system of medicine plays an important part in health care system all over India. Ayurveda is an ancient Indian system of medicine having eight important branches. Agad tantra is among one of them which deals with toxicological conditions and their management. Sage Susruta in Kalpasthaana of his work Susruta Samhita, and Sage Vaagbhata in Uttaratantra of his work Ashtaanga Hrdaya, and in other classics and regional texts have narrated regarding the origin of Visha and Keeta Visha. There are several types of Keeta Visha described. Among animal poisoning, Acharayas have described different creatures (Sarpa, Keeta, and Luta) responsible for life threatening situations. The importance of Keeta Visha is more because it causes severe manifestations in the human being, even death also. Acharya Suhsruta described Keeta Visha under Jangama Visha and explained 67 varieties of Keeta under 4 groups. According to its variety diagnosis and treatment of Keeta Visha is found to be very difficult because these varieties are not yet correctly identified and besides, regional variations of these Keetas manifests very differently

Anlytical study based on issues of Routing & Security in Wireless sensor networks

Wireless Sensor Networks (WSN) are receiving significant importance in the present scenario owing to their unlimited potential and world wide applications. The routes in the network are determined by the most secured and energy efficient routing protocols and these energy efficient routing protocols employed for WSNs are the Hierarchical or cluster based routing protocols that are essential for path computation in sensor networks. Since most of the hierarchical routing protocols aim to be developed as energy efficient, the security issues are not given much importance most of the times. But in certain applications such as military or battle field the data is to be maintained secret while communicating between sensor nodes and basin so security issues are also required to be focused in developing routing protocols. Keeping in view above in this paper we intend to present the various security issues involved while designing the hierarchical routing protocol for a specific WSN and the design challenges while studying different hierarchical based routing protocols. Keywords- Wireless Sensor Networks (WSNs), Hierarchical routing, Securityissues

Evaluation of antidepressant activity of hydro-alcoholic extract of rhizomes of Nardostachys jatamansi DC per se and in combination with fluoxetine in wistar albino rats and swiss albino mice

Background: Depression is a common mental disorder results due to deficiency of neurotransmitter in the brain. Various medicinal properties of jatamansi are mentioned in Ayurveda. This study evaluated effect of hydro-alcoholic extract of rhizomes of Nordostachys jatamansi DC per se and in combination with fluoxetine in wistar albino rats and swiss albino mice.Methods: Animals of either sex were selected and randomly divided in test group. Jatamansi extract 10:1 and fluoxetine hydrochloride dissolved in distilled water were used. Animals were tested for forced swimming test, tail suspension test and locomotor after given test drug. Results were compared with control and analysed.Results: Nardostachys jatamansi DC, when given to rats showed dose dependent increase in number of rotation during forced swimming test in rats. During forced swimming test in glass jar statistically significant decrease in immobility was observed. Nardostachys jatamansi DC, when given to mice dose dependent statistically significant decrease in immobility time, swimming time and climbing observed. When given along with combination of fluoxetine it shows statistically significant difference in result, confirmed that it can have synergistic antidepressant activity. When used for locomotor activity in mice none of the test drugs significantly increase or decrease the locomotor activity.Conclusions: Jatamansi showed antidepressant like property in various tests conducted on rats and mice. It showed statistically significant result with increasing dose and had synergic effect when given along with fluoxetine

Transfer-Recursive-Ensemble Learning for Multi-Day COVID-19 Prediction in India using Recurrent Neural Networks

The current COVID-19 pandemic has put a huge challenge on the Indian health infrastructure. With more and more people getting affected during the second wave, the hospitals were over-burdened, running out of supplies and oxygen. In this scenario, prediction of the number of COVID-19 cases beforehand might have helped in the better utilization of limited resources and supplies. This manuscript deals with the prediction of new COVID-19 cases, new deaths and total active cases for multiple days in advance. The proposed method uses gated recurrent unit networks as the main predicting model. A study is conducted by building four models that are pre-trained on the data from four different countries (United States of America, Brazil, Spain and Bangladesh) and are fine-tuned or retrained on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. Each of the four models then give a multiple days ahead predictions using recursive learning method for the Indian test data. The final prediction comes from an ensemble of the predictions of the combination of different models. This method with two countries, Spain and Brazil, is seen to achieve the best performance amongst all the combinations as well as compared to other traditional regression models.Comment: 8 pages, 7 figure

Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach

We are interested in image manipulation via natural language text -- a task that is useful for multiple AI applications but requires complex reasoning over multi-modal spaces. We extend recently proposed Neuro Symbolic Concept Learning (NSCL), which has been quite effective for the task of Visual Question Answering (VQA), for the task of image manipulation. Our system referred to as NeuroSIM can perform complex multi-hop reasoning over multi-object scenes and only requires weak supervision in the form of annotated data for VQA. NeuroSIM parses an instruction into a symbolic program, based on a Domain Specific Language (DSL) comprising of object attributes and manipulation operations, that guides its execution. We create a new dataset for the task, and extensive experiments demonstrate that NeuroSIM is highly competitive with or beats SOTA baselines that make use of supervised data for manipulation.Comment: EMNLP 2023 (long paper, main conference

India

This article surveys significant legal developments in India during the year 2014

Mechanical design of the optical modules intended for IceCube-Gen2

IceCube-Gen2 is an expansion of the IceCube neutrino observatory at the South Pole that aims to increase the sensitivity to high-energy neutrinos by an order of magnitude. To this end, about 10,000 new optical modules will be installed, instrumenting a fiducial volume of about 8 km3. Two newly developed optical module types increase IceCube’s current sensitivity per module by a factor of three by integrating 16 and 18 newly developed four-inch PMTs in specially designed 12.5-inch diameter pressure vessels. Both designs use conical silicone gel pads to optically couple the PMTs to the pressure vessel to increase photon collection efficiency. The outside portion of gel pads are pre-cast onto each PMT prior to integration, while the interiors are filled and cast after the PMT assemblies are installed in the pressure vessel via a pushing mechanism. This paper presents both the mechanical design, as well as the performance of prototype modules at high pressure (70 MPa) and low temperature (−40∘C), characteristic of the environment inside the South Pole ice

The next generation neutrino telescope: IceCube-Gen2

The IceCube Neutrino Observatory, a cubic-kilometer-scale neutrino detector at the geographic South Pole, has reached a number of milestones in the field of neutrino astrophysics: the discovery of a high-energy astrophysical neutrino flux, the temporal and directional correlation of neutrinos with a flaring blazar, and a steady emission of neutrinos from the direction of an active galaxy of a Seyfert II type and the Milky Way. The next generation neutrino telescope, IceCube-Gen2, currently under development, will consist of three essential components: an array of about 10,000 optical sensors, embedded within approximately 8 cubic kilometers of ice, for detecting neutrinos with energies of TeV and above, with a sensitivity five times greater than that of IceCube; a surface array with scintillation panels and radio antennas targeting air showers; and buried radio antennas distributed over an area of more than 400 square kilometers to significantly enhance the sensitivity of detecting neutrino sources beyond EeV. This contribution describes the design and status of IceCube-Gen2 and discusses the expected sensitivity from the simulations of the optical, surface, and radio components