Carp genetic resources for aquaculture in Asia

There are over 1 300 species of cyprinids in Asia, which form an important part of the worldÆs aquatic biodiversity. Aquaculture and capture fisheries involving cyprinids are a vital part of the livelihoods of many millions of people in this region. The production of carps from aquaculture in Asia constitutes over half of world finfish aquaculture production. Further growth in human populations will increase the demand for carps as food, but may also threaten wild populations. This publication focuses on carp genetic resources for aquaculture in major carp producing countries of Asia viz., Bangladesh, China, India, Indonesia, Thailand and Vietnam, describing the species of importance, our current knowledge of the genetics of these species and genetic improvement of these species for aquaculture.Carp, Fish culture, Aquaculture, Genetic resources, Fishery resources, Asia,

Some studies on the species of Criconematids (Nematoda: Tylenchida) from Hilly Districts of Nepal

A nematological survey was conducted in three hilly districts – Bhaktapur, Kavre and Dhading surrounding capital city of Nepal ranging the altitudes between 1340m to 1540m. Randomly collected soil samples from vegetable fields processed through Cobb’s sieving and decantation method yielded various tylenchid nematodes. Among six species of criconematid nematodes found associated with vegetable crops, four species viz. Hemicriconemoides mangiferae Siddiqi, 1961, Criconemoides brevistylus Singh and Khera, 1976, Discocriconemella retroversa Sauer and Winoto, 1975 and Hemicycliophora arenaria Raski, 1958 are described here with their morphometric data along with localities and host plants and illustrated with photomicrographs

First report on four species of predatorynematodes, mononchids (Nematoda : Mononchida) from Nepal

A nematological survey was conducted for free and plant nematodes affecting economically important vegetable crops grown in Bhaktapur and Kavre, hilly districts of Nepal with altitudes ranging between 1315m to 1500m which revealed various plant parasitic nematodes along with four species of predatory nematodes belonging to the order Mononchida. These species were Mononchus aquaticus Coetzee, 1968, Iotonchus indicus Jairajpuri 1969, Mylonchulus contractus Jairajpuri, 1970 and Parahandronchus shakili (Jairajpuri, 1969) Mulvey, 1978. The measurements, descriptions, remarks and illustrations along with habitat and locality of these predatory nematodes are provided. These species are the first report from Nepal

Optimization of Product Mix in Cold Rolling Steel Industry Using Product Portfolio Matrix and Multi Objective Goal Programming Model

This paper aims to develop an optimum product mix for monthly saleable steel in cold rolling steel industry ( JSW) which is one of the leading cold rolling , galvanizing and colour coating  house in India. The company is going for the production of 45000mt per month and aiming for maximum EBIDTA and maximum utilization of all main line. Out of 13 products selected for optimization company aim is to decide monthly production tonnage of each selected product. This is done by making product portfolio matrix which shows which products are more convenient for production considering market attractiveness and competitive position factors by taking opinion of marketing and operation expert’s. Further Multi objective linear programming approach is applied for getting solution of optimal product mix. After getting results by both approach it is compared with actual figures of company and final production figures of all 13 products are freeze for maximum EBIDTA and maximum utilization of plant Keywords: Product portfolio matrix, cold rolling, galvanizing, market attractiveness factors, competitive position factors

Braess's Paradox in Wireless Networks: The Danger of Improved Technology

When comparing new wireless technologies, it is common to consider the effect that they have on the capacity of the network (defined as the maximum number of simultaneously satisfiable links). For example, it has been shown that giving receivers the ability to do interference cancellation, or allowing transmitters to use power control, never decreases the capacity and can in certain cases increase it by $\Omega(\log (\Delta \cdot P_{\max}))$, where $\Delta$ is the ratio of the longest link length to the smallest transmitter-receiver distance and $P_{\max}$ is the maximum transmission power. But there is no reason to expect the optimal capacity to be realized in practice, particularly since maximizing the capacity is known to be NP-hard. In reality, we would expect links to behave as self-interested agents, and thus when introducing a new technology it makes more sense to compare the values reached at game-theoretic equilibria than the optimum values. In this paper we initiate this line of work by comparing various notions of equilibria (particularly Nash equilibria and no-regret behavior) when using a supposedly "better" technology. We show a version of Braess's Paradox for all of them: in certain networks, upgrading technology can actually make the equilibria \emph{worse}, despite an increase in the capacity. We construct instances where this decrease is a constant factor for power control, interference cancellation, and improvements in the SINR threshold ($\beta$), and is $\Omega(\log \Delta)$ when power control is combined with interference cancellation. However, we show that these examples are basically tight: the decrease is at most O(1) for power control, interference cancellation, and improved $\beta$, and is at most $O(\log \Delta)$ when power control is combined with interference cancellation

On the fourth-order accurate compact ADI scheme for solving the unsteady Nonlinear Coupled Burgers' Equations

The two-dimensional unsteady coupled Burgers' equations with moderate to severe gradients, are solved numerically using higher-order accurate finite difference schemes; namely the fourth-order accurate compact ADI scheme, and the fourth-order accurate Du Fort Frankel scheme. The question of numerical stability and convergence are presented. Comparisons are made between the present schemes in terms of accuracy and computational efficiency for solving problems with severe internal and boundary gradients. The present study shows that the fourth-order compact ADI scheme is stable and efficient

The STAR Photon Multiplicity Detector

Details concerning the design, fabrication and performance of STAR Photon Multiplicity Detector (PMD) are presented. The PMD will cover the forward region, within the pseudorapidity range 2.3--3.5, behind the forward time projection chamber. It will measure the spatial distribution of photons in order to study collective flow, fluctuation and chiral symmetry restoration.Comment: 15 pages, including 11 figures; to appear in a special NIM volume dedicated to the accelerator and detectors at RHI

Managerial judgment and forecast combination: An experimental study

This paper examines the role of managerial judgment in forming a final forecast, or judging the achievability of a critical level of sales, when multiple forecasts or opinions are available to the decision maker. Several factors that can help improve the quality of human intervention are identified and incorporated in a decision aid. Experimental results show that aided combination can help the decision maker exploit her relevant private information and mitigate the generally observed negative effects of human intervention. Further, the results suggest that emphasizing expected sales, even when the organization is primarily interested in go/no-go decisions, helps improve performance. Several suggestions for future research are presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47133/1/11002_2004_Article_BF00993954.pd

Group testing with Random Pools: Phase Transitions and Optimal Strategy

The problem of Group Testing is to identify defective items out of a set of objects by means of pool queries of the form "Does the pool contain at least a defective?". The aim is of course to perform detection with the fewest possible queries, a problem which has relevant practical applications in different fields including molecular biology and computer science. Here we study GT in the probabilistic setting focusing on the regime of small defective probability and large number of objects, $p \to 0$ and $N \to \infty$. We construct and analyze one-stage algorithms for which we establish the occurrence of a non-detection/detection phase transition resulting in a sharp threshold, $\bar M$, for the number of tests. By optimizing the pool design we construct algorithms whose detection threshold follows the optimal scaling $\bar M\propto Np|\log p|$. Then we consider two-stages algorithms and analyze their performance for different choices of the first stage pools. In particular, via a proper random choice of the pools, we construct algorithms which attain the optimal value (previously determined in Ref. [16]) for the mean number of tests required for complete detection. We finally discuss the optimal pool design in the case of finite $p$