673 research outputs found

    A linear model for leaf area measurement to screen potential leaf material for herbal drug in Adhatoda vasica L.

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    Leaf area is an important parameter in physiology and agronomy studies. Linear models for leaf area measurement are developed for plant species as a nondestructive method. The plant Adhatoda vasica L. (a medicinal plant) was selected and the leaves of this plant were used for development of linear model for leaf area using Leaf Area Meter (LAM) software. Planimetric parameters (length, length2, width and width2) and gravimetric (dry weight and water content) parameters are considered for the development of linear model for this plant species. Single factor ANOVA and linear correlations were worked out using these parameters and leaf area. The plant was showed significant relationship with the parameters studied. The best correlation as represented by regression coefficient (R2) was used and improved R2 is worked out. It is observed that with increase in leaf area, water content is also increased and showed best correlation with the leaf area. Thus water content can be taken as a parameter for developing linear model for leaf area is concluded

    Studies on the maturation and spawning of grey mullets of a reservoir fishery in Okhamandal (Gulf of Kutch) with special reference to rural development along the coast

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    Grey mullets formed S7% of the annual marine fish production during 1984-87 from the reservoirs of a solar saltworks along the Okhamandal coast of the Gulf of Kutch. Mugil cephalus (23.0%), Mugil macrolepis (35.03%), Mugil parsia (1.29?-^), Mugil tade (0.629%) and Mugil car/natus (40.06%) formed the composition of the catch- Maturing specimens of Mugil cephalus. Mugil macrolepis and Mugil parsia were observed in the catch. In view of the excellent prospects of aquaculture of this highly esteemed group of fishes, and considering the limited seed resources of 1,64 million per annum from the natural sources, a study of the gonadial development and spawning of the commercially important species was undertaken. Based on the data, experiments to indues the development and spawning were also conducted. Conditioning and prevention of diseases from infection due to injury wore major problems. Both Mugil macrolepis and Mugil parsia responded to pituitary hormone Injections, developed ovaries and spawned in 7 days and 37 days respectively. The prospects of rural development through mullet culture in the coastal areas of Kutch are discussed

    Eptifibatide induced profound thrombocytopenia in a patient with pelvic malignancy: A case report

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    ► Eptifibatide is associated with profound thrombocytopenia and thrombosis secondary to a HITT-like mechanism associated with drug-dependant antibodies. ► Caution with eptifibatide use is needed in those pre-disposed to hypercoaguability, particularly those with an underlying malignancy

    Analysis and Implementation of Malicious Node in AODV Routing Protocol

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    The Mobile Ad-hoc Network (MANET) is constructed based on wireless medium and it is of self organizing behaviour. MANET is easy to establish and having dynamic topology. The mobile Ad-hoc networks are vulnerable to various networks attacks because MANET operational environment is open and dynamic or live. MANET uses the Routing protocols for data transfer. Two different types of Routing protocols are available: Table Driven and On Demand Routing Protocols. Malicious node is the one type of mobile node but its work is completely different compared to normal Mobile nodes. Malicious nodes have capability to change or remove Routing Information. It also sends or advertises the fake Route Request to attract user’s data. Malicious node disturbs the Network to carry correct flow of operation. It is responsible for attacks on the existing normal mobile nodes and creates receiver collision, limited transmission power, false misbehaviour etc. Malicious or selfish node carries attacks on the networks so it directly effects to the routing Performance. The objective of this work is to check Network performance in malicious environment and provide prevention for the attack. Throughput and Delay are analysed for Denial of Service (DoS) attack and prevention scenarios. Keywords: MANET, AODV, Selfish Node, DoS Attack, Routing Protocol

    An Experimental Study of the Learnability of Congestion Control

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    When designing a distributed network protocol, typically it is infeasible to fully define the target network where the protocol is intended to be used. It is therefore natural to ask: How faithfully do protocol designers really need to understand the networks they design for? What are the important signals that endpoints should listen to? How can researchers gain confidence that systems that work well on well-characterized test networks during development will also perform adequately on real networks that are inevitably more complex, or future networks yet to be developed? Is there a tradeoff between the performance of a protocol and the breadth of its intended operating range of networks? What is the cost of playing fairly with cross-traffic that is governed by another protocol? We examine these questions quantitatively in the context of congestion control, by using an automated protocol-design tool to approximate the best possible congestion-control scheme given imperfect prior knowledge about the network. We found only weak evidence of a tradeoff between operating range in link speeds and performance, even when the operating range was extended to cover a thousand-fold range of link speeds. We found that it may be acceptable to simplify some characteristics of the network—such as its topology—when modeling for design purposes. Some other features, such as the degree of multiplexing and the aggressiveness of contending endpoints, are important to capture in a model.National Science Foundation (U.S.) (Grant CNS-1040072

    Effect of music on post-exercise recovery rate in young healthy individuals

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    Background: Music has been used in exercise classes for many decades. The role of music in increasing the exercise performance is well recognized but there is very little information about effect of music on post-exercise recovery time.Methods: The present study was conducted to see the effect of musical sounds on post-exercise recovery time following moderate exercise with Harvard step test in young healthy volunteers. 30 young healthy volunteers (17 males, 13 females) aged between 17 to 20 years were recruited for the study. Pulse rate, systolic BP, diastolic BP were recorded prior to exercise in lying down position. The participants were subjected to moderate exercise by Harvard step test for 3 minutes on 3 consecutive days. They were allowed to rest in silence on 1st day, rest with hearing slow music on 2nd day and rest with hearing fast music on 3rd day. During the post-exercise relaxation time PR, SBP and DBP were measured immediately and after every 1 min. until the parameters returned to resting values. Data was statistically analysed using ANOVA test and 0.05 level of significance was set prior to the study.Results: The result showed that with slow music, recovery time of pulse rate (5.2 ± 2.1), systolic blood pressure (3.9 ± 1.1) and diastolic blood pressure (3.2 ± 1.7) were significantly faster as compared to both no music and fast music.Conclusion: The study concluded that music hastens post-exercise recovery and slow music has greater relaxation effect than fast or no music.
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