ANTI-INFLAMMATORY AND ANTIBACTERIAL ACTIVITY OF JATROPHA CURCAS LINN.

Jatropha curcas Linn., a Bio-diesel plant known for various medicinal uses in folklore has been evaluated for few pharmacological aspects. The plant is being collected, dried and extracted by maceration method with ethanol and water. They were concentrated using vacuum distillation and the extracts were used for the evaluation of anti-inflammatory, analgesic and antibacterial activity using Formalin induced paw edema method, eddy’s hot plate method and disc diffusion method respectively. The analgesic and anti-inflammatory activity of bark water extract and leaf water extract was found significant at P<0.05 and P<0.001 respectively. The maximum analgesic effect was observed at 60min at 300mg/kg (i.p) and was similar to that of standard aspirin (50mg/kg). The edema inhibition effect was 100% for leaf water extract (300mg/kg) after 24hrs and was found effective when compared with standard Ibuprofen (50mg/kg). The antibacterial activity was also found effective at 10mg/ml

Plant Disease Identification Using Machine Learning Techniques

Plants have become a principle origin of energy and are a basic piece in the complexity to work out the problems of a worldwide temperature alteration. There are various kinds of infections which are available in plants. To identify these sicknesses design are needed to remember them. A symbolic strategy for this situation is the utilization of distant dig-out strategies that explore multi and hyper unearthly picture clutch. The strategy that accepts this methodology regularly utilize advanced picture preparing devices to execute their objective. In this paper, various machine learning techniques are handed-down for automatic detection and categorization of plant leaf diseases. It also covers survey on numerous diseases categorization techniques that can be handed-down for plant leaf disease identification. In the remain work back proliferation and head segment investigation are utilized to distinguish plant sicknesses. These calculations are gained from preparing management in neural organization. There is an issue of exactness in these calculation

On the &#960;<SUP>2</SUP>S + &#960;<SUP>2</SUP>S pathways toward [n]-prismanes

Empirical force field calculations indicate that1c,2c and3c rather than1a,2a and3a are more favourable precursors for photocycloadditions to give [5]-, [6]- and [7]-prismane respectively

Controlling of Home Appliances Using Internet of Things

In this new millennium of modern technology, everything is getting automated. Manual work is replaced by machines which reduced the burden on human beings. Nowadays humans have made internet an integral part of their everyday life without which they are helpless. Internet of Things (IoT) is a network of networks in which each object is identified by a unique identity that allows devices to connect, sensed and controlled remotely across a network infrastructure. In this paper we focus on controlling of home appliances by using internet of things. The devices connected to the cloud server are controlled by admin by giving commands. The controlling can be done by using Arduino. This whole system using Internet of Things (IoT) will be used to control home appliances from anywhere in the world by using internet connection. The system designed is economical and can be expanded as it allows connection and controlling of a number of different devices. Internet of Things (IoT) is an emergingtechnology that is making our world a global village. An IoT based Home automation is also one of such examples. In IoT based home automation various things such as lighting, home appliances, computers etc., all are connected to the Internet and allowing user to monitor and control things regardless of time and location constraint. This paper uses ThingSpeak IoT Platform for controlling home appliances through internet. The proposed system presented in this paper is used for controlling of home appliances through Internet of Things(IoT)

A Novel Security Scheme against Spyware using Sequence Selection of CAPTCHA as Graphical Password

our proposed work will be founded on Click-based graphical secret word plans require a client to tap on an arrangement of focuses on one or more exhibited foundation pictures. With Pass Points, clients make a secret word by clicking five requested focuses anyplace on the given picture. To sign in, clients should accurately rehash the succession of snaps, with every snap falling inside of a satisfactory resilience of the first point. To actualize this angle, alongside a plan changing over the client entered graphical secret key into a cryptographic check key, a "vigorous discretization" plan. It comprised of three covering lattices (imperceptible to the client) used to figure out if the snap purposes of a login endeavor were sufficiently close to the first indicates be acknowledged

Evidence regarding patient compliance with incentive spirometry interventions after cardiac, thoracic and abdominal surgeries: A systematic literature review

Reducing postoperative pulmonary complications by improving postoperative lung expansion and ventilation is a primary goal after major thoracic surgeries, and can directly impact morbidity and downstream health care costs. Although deep breathing exercises, with or without devices, have demonstrated efficacy, the evidence regarding the utility of incentive spirometry has been inconclusive. Accordingly, this comprehensive literature search and review examined selected randomized controlled trials investigating several aspects of incentive spirometry interventions

Leiomyosarcoma of the inferior vena cava: a case report and review of the literature

A 68-year-old white female presented with two years of progressively worsening dyspnea. Echocardiography revealed a large right atrial mass and partial obstruction of the inferior vena cava. Further imaging revealed a cystic dense mass in the inferior vena cava and right atrium. Immunohistochemical stains were consistent with leiomyosarcoma. Intraoperatively, the tumor was noted to originate from the posterior aspect of the inferior vena cava. The patient underwent successful resection of the mass. Adjuvant radiation therapy was completed. The patient's dyspnea gradually improved and she continues to remain disease free five years post-resection

CMFRI Marine Fisheries Policy Series No-4; Indian Marine Fisheries Code: Guidance on a Marine Fisheries Management Model for India

India’s marine fisheries are at a turning point; the rapid increase in yields witnessed during the first 60 years of independence has slowed down and the scope for increase in yields from new unexploited and underexploited fish stocks and grounds seems limited. The situation calls for urgent measures to sustain the production close to the target potential yield of 4.41 million tonnes. These measures would mean implementation of science based fisheries management and regulations. Although much has been accomplished by way of research and development in marine fisheries in India, the transformation and implementation of the outcome of these studies into effective management of marine fisheries resources of the country has been a shortcoming so far. The FAO brought out the Code of Conduct for Responsible Fisheries (FAO-CCRF) in 1995 to serve as a guidance for countries for a sound and effective management of fisheries resources. This FAO-CCRF has not been put into practice in India, althrough there are some compliances. Scientists of the CMFRI and CIFT, two of India’s major fisheries research institutes, have come together to develop a guidance on how the code can be put into practice in the country. Aptly named as Indian Marine Fisheries Code (IMFC), it is expected to give an impetus to bring about a sea change in the manner in which marine fisheries is managed in the country. The IMFC explains in detail each sub-article of the FAOCCRF and provides information on how the article can be implemented and by whom. The IMFC further proposes several new bodies which are necessary to place fisheries management in the country on an unassailable footing. It is expected that all fisheries management bodies in the country, both at central and state levels would find the IMFC as a useful guidance for the future

Diversity study of leaf volatile oil constituent of Piper species based on GC/ MS and spatial distribution

Ten wild Piper species of Western Ghats were studied for leaf volatile oil constituents using GC/MS. The total number of major components (≥ 1%) in different species varied from 5 to 10. The leaf oil was rich in sesquiterpenoids. The most abundant compounds in Piper leaf oil of Western Ghats were β-Caryophyllene, Nerolidol and β - Elemene. Different accessions of P. nigrum collected from different parts of Western Ghats were used to study the spatial diversity of aroma with the help of DIVA GIS. The results indicated that the latitudinal influence was strong in aroma diversity. Total number of components varied from 17 to 73, while the major components found were 10 in P. nigrum leaves. The diversity index of the total component was 2.87. &nbsp

High temperatures and low soil moisture synergistically reduce switchgrass yields from marginal field sites and inhibit fermentation

‘Marginal lands’ are low productivity sites abandoned from agriculture for reasons such as low or high soil water content, challenging topography, or nutrient deficiency. To avoid competition with crop production, cellulosic bioenergy crops have been proposed for cultivation on marginal lands, however on these sites they may be more strongly affected by environmental stresses such as low soil water content. In this study we used rainout shelters to induce low soil moisture on marginal lands and determine the effect of soil water stress on switchgrass growth and the subsequent production of bioethanol. Five marginal land sites that span a latitudinal gradient in Michigan and Wisconsin were planted to switchgrass in 2013 and during the 2018–2021 growing seasons were exposed to reduced precipitation under rainout shelters in comparison to ambient precipitation. The effect of reduced precipitation was related to the environmental conditions at each site and biofuel production metrics (switchgrass biomass yields and composition and ethanol production). During the first year (2018), the rainout shelters were designed with 60% rain exclusion, which did not affect biomass yields compared to ambient conditions at any of the field sites, but decreased switchgrass fermentability at the Wisconsin Central–Hancock site. In subsequent years, the shelters were redesigned to fully exclude rainfall, which led to reduced biomass yields and inhibited fermentation for three sites. When switchgrass was grown in soils with large reductions in moisture and increases in temperature, the potential for biofuel production was significantly reduced, exposing some of the challenges associated with producing biofuels from lignocellulosic biomass grown under drought conditions