2,777 research outputs found

    Deepsea prawns

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    From the beginning of this century, large varieties of prawns belonging to the families Penaeidae, Pasiphaeidae, Oplophoridae and Pandalidae have been reported from the west and east coast of India, particularly from southern regions beyond the continental shelf (Alcock 1901, 1906; de Man 1911, 1920; Calman, 1939; John and Kurian, 1959; Kurian 1964; George, 1966; George and Rao 1966; Suseelan and Mohamed, 1968 and Suseelan 1974, 1989). However, existence of some of these species in commercially exploitable concentrations in these deeper waters has been brought to light only recently. Silas (1969) and Mohamed and Suseelan (1973) gave general accounts on the distribution and relative abundance of common species of prawns of the shelf-edge and upper continental slope of the southwest coast. Detailed review on deep-sea fisheries of India has been given recently by Rao (2009). First account on the deep-sea crustacean fishery carried out by commercial prawn trawlers along Kerala coast were given by Rajan et al. (2001) and Nandakumar et al. (2001)

    Ring homomorphisms on H(G)

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    It is shown that a ring homomorphism on H(G), the algebra of analytic functions on a regular region G in the complex plane, is either linear or conjugate linear provided that the ring homomorphism takes the identity function into a nonconstant function

    Species Metapenaeus monoceros

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    Metapenaeus monoceros, (Fabricius 1798) the ‘brown shrimp’ is a commercially important prawn in the backwaters and estuaries, and up to about 100 m depth in the sea. Many have worked on different aspects of this species as it contributes to the fishery in many countries bordering the Arabian Sea. Notable among them are George (1959, 1970, 1974), George et al. (1963, 1988), Mohamed and Rao (1971), Rao (1973a), Subrahmanyam (1965, 1967a, 1973), Kuttyamma (1973), Rao and Krishnamoorthi (1990), Nalini (1976), Lalithadevi (1988), Nandakumar and Srinath (1999) and Dineshbabu (2006). Rao (1985, 1988a, 1988b, 1988c, 1988d, 1989, 1993c, 1994) studied the fishery and biology of the species along the Kakinada coast while Nandakumar (1998, 2000, 2001a, 2001b, 2004) studied the biology and fishery of the species at Cochin. Sukumaran et al. (1993) gave a comprehensive account on the fishery, biology and population dynamics of the resource on an all-India basis

    An application of Nienhuys-Thiemann's theorem to Ring derivations on H(G)

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    AbstractIn this paper as an application of Nienhuys-Thiemann's theorem we show that a ring derivation on H(G), the algebra of analytic functions on a region G, is linear

    FIGURE 1. Rotala dhaneshiana A. Habit. B. A in Rotala dhaneshiana, a new species of Lythraceae from India

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    FIGURE 1. Rotala dhaneshiana A. Habit. B. A portion of flowering twig. C. Bract. D. Single flower. E. Floral tube cut-opened showing pistil, stamens, petals and epicalyx-lobes. F. Stamens—abaxial and adaxial views. G. Mature fruit enclosed in floral tube. H. Capsule. I. Seeds. Drawings by T. Shaju from live specimens.Published as part of Ratheesh Narayanan, M. K., Sunil, C. N., Shaju, T., Nandakumar, M. K., Sivadasan, M. & Alfarhan, A. H., 2014, Rotala dhaneshiana, a new species of Lythraceae from India, pp. 227-232 in Phytotaxa 188 (4) on page 228, DOI: 10.11646/phytotaxa.188.4.5, http://zenodo.org/record/514745

    Privacy-Aware State Estimation based on Obfuscated Transformation and Differential Privacy: With applications to smart grids and supply chain economics

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    With the emergence of many modern automated systems around us that rely heavily on the private data collected from individuals, the problem of privacy-preserving data analysis is now gaining a significant attention in the field of systems and control. In this thesis, we investigate the privacy concerns of these systems arising in the process of state estimation - a well known and a widely studied concept in systems and control. Our work draws motivation from smart grids and supply chain economics, and hence, we study two different privacy problems in the context of state estimation and rely on cryptography to solve these challenges.In the first problem, we study the privacy challenges of state estimation in smart grids. Smart grids promise a more reliable, efficient, economically viable, and an environment-friendly electricity infrastructure for the future. State estimation in smart grids plays a vital role in system monitoring, reliable operation, automation, and grid stabilization. However, the power consumption data collected from the users during estimation can be privacy-sensitive. Furthermore, the topology of the grid can be exploited by malicious entities during state estimation to launch attacks without getting detected. Motivated by the essence of a secure state estimation process, we propose a weighted-least-squares estimation carried out batch-wise at repeated intervals where the resource-constrained clients utilize a malicious cloud for computation services. We exploit a highly efficient and verifiable obfuscation-based cryptographic solution to perform the computations of the estimation process securely in the presence of a malicious adversary. Simulation results demonstrate a high level of obscurity both in time and frequency domain making it difficult for the malicious adversary to interpret information about the original power consumption data of the consumers and the grid topology from the obfuscated datasets. Our second problem deals with the challenge of protecting a dynamical supply chain model while releasing the state sequences generated by the model for data aggregation to an external possible adversary. Releasing state samples generated by a dynamical system model with high accuracy for data aggregation and other statistical purposes can also be used for reverse engineering and estimating sensitive model parameters. Upon identification of the system model, the adversary may even use it for predicting sensitive data in the future. Hence, preserving a confidential dynamical process model is crucial for the survival of many industries. Motivated by the need to protect the system model as a trade secret, we propose a mechanism based on differential privacy to render such model identification techniques ineffective while preserving the utility of the state samples for data aggregation purposes. We deploy differential privacy by generating noise according to the sensitivity of the query and adding it to the state vectors at each time instant. We derive analytical expressions to quantify the bound on the sensitivity function and estimate the minimum noise level required to guarantee differential privacy. Furthermore, we present numerical analysis and characterize the privacy-utility trade-off that arises when deploying differential privacy. Simulation results demonstrate that through differential privacy, we achieve acceptable privacy level sufficient to mislead the adversary while still managing to retain high utility level of the state samples for data aggregation. Mechanical Engineering | Systems and Contro

    FACTORS INFLUENCING LITTER TRAITS AND BODY WEIGHT UPTO 12 WEEKS AMONG TEMPERATE RABBIT BREEDS IN HUMID TROPICS

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    [EN] High prolificacy and fast growth rate make rabbit an ideal meat animal for the developing countries. Present investigation was aimed at analysing the prolificacy and growth rate among temperate breeds of rabbits namely, New Zealand White, Grey Giant and Soviet Chinchilla, under humid tropics of Kerala, India. The effects of breed and sire on litter traits and the effects of breed, sire and sex on body weight traits were analysed. Data from 172 kindlings showed an average litter size at birth of 4.38 and litter weight at birth of 228 g. Breed effects were significan! (P<0.05) on litter size and litter weight at weaning. The highest litter size at weaning was obtained in Grey Giant (1 .96), followed by New Zealand White (1.87) and the lowest in Soviet Chinchilla (1.18). The litter weights al weaning were 1084, 1074 and 708 g for Grey Giant, New Zealand White and Soviet Chinchilla, respectively. Pre-weaning mortality was found to be modulated by breed to a significan! level (P s 0.05) with New Zealand White having the lowest pre-weaning mortality. Body weights al six weeks and twelve weeks averaged 612 g and 1168 g, respectively. Body weight at 12 weeks of age was significantly (P<0.05) influenced by sire. The effects of breed and sex on body weight traits was found to be non-significan!.[FR] Sa forte prolificité et sa grande vitesse de croissance fon! du lapin !'animal idéal pour la production de viande dans les pays en voie de développement. Cette étude analyse la prolificité et la vitesse de croissance en clima! tropical humide du Kérala en lnde, de races classiquement utilisées sous clima! tempéré, !elles que NéoZélandais Blancs (NZB), Géant Gris (GG) et Chinchilla Soviétique (CS). Les effets de la race et du pére sur les caractéristiques de la portée, puis ceux de la race, du pére et du sexe sur les poids vifs, ont été analysés. Les données provenant de 172 mise bas montrent une taille de portée moyenne a la naissance de 4,38 lapereaux pour un poids mayen de 228 g. Les effets de la race sont significatifs (P<0,05) sur la taille de la portée et son poids au sevrage. Les tailles de portée au sevrage sont les suivantes: GG 1,96 - NZB 1,87 et es 1,18. Les poids de portées au sevrage sont 1084, 1074 et 708 g pour les 3 races respectivement. La mortalité avant sevrage est influencée par la race a un niveau significatif (Ps0,05), les NZBayant la plus basse. Les poids vifs moyens a 6 et 12 semaines sont respectivement de 612 et 1168 g. Le poids vif a 12 semaines est significativement influencé (Ps0,05) par le pére; mais les effets de la race et du sexe sur les poids vifs ne sont pas significatifs.Marykutty, T.; Nandakumar, P. (2000). FACTORS INFLUENCING LITTER TRAITS AND BODY WEIGHT UPTO 12 WEEKS AMONG TEMPERATE RABBIT BREEDS IN HUMID TROPICS. World Rabbit Science. 08(2). https://doi.org/10.4995/wrs.2000.421SWORD08

    Influence of immunopotentiators on the antiporin immunoglobulin G subclass: distribution and protective immunity against murine salmonellosis

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    To improve the immune potential of porin (a pore-forming protein of Salmonella sp.), different immunopotentiators such as Freund's complete adjuvant (FCA), lipopolysaccharide (LPS) and polyoxydonium (PO) were evaluated by studying the nature of the protective immune response induced against murine Salmonellosis. The nontoxic, synthetic heteropolymer polyoxydonium was as good as LPS at inducing antiporin immunoglobulin G (IgG) antibodies and protective immunity. Analysis of the antiporin IgG subclass pattern revealed a preferential increase in a particular subclass based on the immunopotentiator used. Porin, alone or emulsified in FCA, elicited predominantly antiporin IgG1 antibodies, whereas LPS preferentially evoked antiporin IgG2a, IgG2b and IgG3 antibodies. Polyoxydonium induced a clear shift towards antiporin IgG2b antibodies. The significance of these antiporin IgG subclass antibodies in protection against murine Salmonellosis was studied by passive immunization and by analysing the infected mouse sera

    Initial Results of monoPolyTM Silicon Solar Cells at SERIS

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    10.1109/PVSC.2018.85481062018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC1991-199
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