102 research outputs found

    Publications Pattern and Collaborations Trend in Webology Journal during 2010-2019: A Bibliometric Analysis

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    The present study analyses the papers published in Webology journal from 2010 to 2019. The parameters used in the study were: distribution of articles, Authorship Patterns, Collaboration Index (CI), Degree of Collaboration (DC), Collaboration Coefficient (CC), Modified Collaboration Coefficient (MCC), Growth Rate, Lotka’s law, distribution of references and length of references. The study reveals that a total of 138 scholarly papers have been published by LIS professionals across the world. Iran ranked first among the researchers of different countries. The study reveals that the highest number of articles appeared during 2019 and has the maximum Collaboration Index, Collaboration Coefficient, and Modified Collaboration Coefficient. The majority of the contributions received from two authored publications with 28.14% and have an average collaboration of 0.89 which means a presence of good collaboration. A total of 4097 references were observed, where the year 2019 has the highest references (914, 22.31%)

    Cryo-capacitation changes during cryopreservation of swamp buffalo spermatozoa

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    Cryopreservation of sperm cells induces cryo-capacitation like changes. These changes are associated with reduced survival of sperm cells in the female reproductive tract that ultimately associate with poor fertility. The present study was designed with the objective to investigate the cryo-capacitation changes in relation to acrosomal status, transaminases activities, sperm membrane protein and cholesterol content in swamp buffalo spermatozoa. Results revealed that the total mean incidences of acrosome reacted spermatozoa and the mean activity of ALT and AST were significantly higher after equilibration and freezing. The mean level of sperm membrane protein and cholesterol was significantly lower after equilibration and freezing. It may be concluded from the present study that cryopreservation induces capacitation-like changes in swamp buffalo spermatozoa

    Effectiveness of Action in India to Reduce Exposure of Gyps Vultures to the Toxic Veterinary Drug Diclofenac

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    Contamination of their carrion food supply with the non-steroidal anti-inflammatory drug diclofenac has caused rapid population declines across the Indian subcontinent of three species of Gyps vultures endemic to South Asia. The governments of India, Pakistan and Nepal took action in 2006 to prevent the veterinary use of diclofenac on domesticated livestock, the route by which contamination occurs. We analyse data from three surveys of the prevalence and concentration of diclofenac residues in carcasses of domesticated ungulates in India, carried out before and after the implementation of a ban on veterinary use. There was little change in the prevalence and concentration of diclofenac between a survey before the ban and one conducted soon after its implementation, with the percentage of carcasses containing diclofenac in these surveys estimated at 10.8 and 10.7%, respectively. However, both the prevalence and concentration of diclofenac had fallen markedly 7–31 months after the implementation of the ban, with the true prevalence in this third survey estimated at 6.5%. Modelling of the impact of this reduction in diclofenac on the expected rate of decline of the oriental white-backed vulture (Gyps bengalensis) in India indicates that the decline rate has decreased to 40% of the rate before the ban, but is still likely to be rapid (about 18% year−1). Hence, further efforts to remove diclofenac from vulture food are still needed if the future recovery or successful reintroduction of vultures is to be feasible

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    Not AvailableThe effect of freezing on cryosurvival of yak semen.Not Availabl

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    Not AvailableThe effect of freezing on cryosurvival of yak sperm.Not Availabl

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    Not AvailableOccurence of male and female calves in relation to the time of parturition was observedNot Availabl

    Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach

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    We consider the problem of optimizing the stationary performance of a discrete time linear system affected by a disturbance and subject to probabilistic input and state constraints. More precisely, the goal is to design a disturbance compensator which optimally shapes the stationary state distribution so as to best satisfy the given control specifications. To this purpose, we formulate a chance-constrained program with the compensator parametrization as optimization vector. Chance-constrained programs are generally hard to solve and a possible way to tackle them is to resort to the so-called scenario approach. In our set-up, however, the scenario approach is not directly applicable since the stationary state process depends on disturbance realizations of infinite extent. Our contribution is then to provide a new scenario-based methodology, where the stationary state process is approximated and constraints are suitably tightened so as to retain the chance-constrained feasibility guarantees of the scenario solution. Design of a periodic compensator of a cyclostationary disturbance can be embedded in our framework, as illustrated in an energy management numerical example. (C) 2019 Elsevier Ltd. All rights reserved

    A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints

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    We consider a linear system affected by an additive stochastic disturbance and address the design of a finite horizon control policy that is optimal according to some cost criterion and accounts also for probabilistic constraints on both the input and state variables. The resulting policy can be implemented over a receding horizon according to the model predictive control strategy. Such a possibility, however, is hampered by the fact that a feasibility issue may arise when recomputing the policy. Infeasibility indeed can occur if the disturbance has unbounded support and the state is required to remain in a bounded set. In this paper, we propose a solution to this issue that is based on the introduction of a constraint relaxation that becomes effective only when the original problem turns out to be unfeasible. This is obtained via a cascade of two probabilistically-constrained optimization problems where, in the first one, performance is neglected and the policy is designed to fully recover feasibility or – if this is not possible – to determine the minimum level of relaxation which is needed to recover feasibility; in the second step, such a minimum relaxation level is imposed while optimally (re-)tuning the control policy parameters. Both problems are solved through a computationally tractable scenario-based scheme using a finite number of disturbance realizations and providing an approximate solution that satisfies with high confidence the original probabilistic constraints of the cascade

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    Not AvailableThe book gives details on rearing, production and management of Arunachali breed of yakNot Availabl
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