338 research outputs found

    Implementation of AES using biometric

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    Mobile Adhoc network is the most advanced emerging technology in the field of wireless communication. MANETs mainly have the capacity of self-forming, self-healing, enabling peer to peer communication between the nodes, without relying on any centralized network architecture. MANETs are made applicable mainly to military applications, rescue operations and home networking. Practically, MANET could be attacked by several ways using multiple methods. Research on MANET emphasizes on data security issues, as the Adhoc network does not befit security mechanism associated with static networks. This paper focuses mainly on data security techniques incorporated in MANET. Also this paper proposes an implementation of Advanced Encryption Standard using biometric key for MANETs. AES implementation includes, the design of most robust Substitution-Box implementation which defines a nonlinear behavior and mitigates malicious attacks, with an extended security definition. The key for AES is generated using most reliable, robust and precise biometric processing. In this paper, the input message is encrypted by AES powered by secured nonlinear S-box using finger print biometric feature and is decrypted using the reverse process

    Experimental Investigation on performance of silica fumes as a soil stabilizer for oil contaminated strata

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    Oil leakage is an environmental issue unnoticed in the present time. The problem of oil leakage and oil contamination is main concern for petroleum harvesting countries. Oil contamination in soil creates health issues in the area surrounding it. The nutrients in the soil get reduced significantly due to oil contamination which makes the land not suitable for cultivation. The oil produces hydrocarbons which makes the civil structures weak and out at risk. The most harmful effects of oil contamination are excessive settlement of structures, breakage of underground pipes, etc. In this project, we are trying to study the effects of oil contamination in the soil and also to find a sustainable solution for it. The soil is contaminated in the percentage from 0 to 20% and the tests on index and engineering properties have been conducted to find the effect of engine oil. In order to stabilize the oil contaminated soil, we use silica fumes as a stabilizing agent. The optimum percentage of silica fume is chosen based on the tests of Index and Engineering properties conducted on the soil with silica fumes. The percentage of oil where the soil properties need stabilization is known and the soil is stabilized with the optimum silica fume percentage

    Incidence of congenital anomalies in Navodaya Medical College

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    Background: Congenital anomalies are defined as structural or functional anomalies including metabolic disorders, that occur during intrauterine life and can be identified antenatally, at birth or later in life. It accounts for 11% of neonatal deaths globally and accounts for 8–18% of perinatal deaths and 10–15% of neonatal deaths in India. Aims and objectives of the research were to study incidence and risk factors associated with congenital anomalies in Navodaya Medical College.Methods: The clinical study was done on 3008 patients over 1 year at Navodaya Medical College Hospital and Research Centre Thorough history, antenatal ultrasound, blood tests, new born babies were examined thoroughly by the paediatrician to detect the congenital malformation. If any internal congenital malformation were suspected further investigation like ultrasonography (USG), echocardiography (ECHO), X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) were done.Results: Out of 3008 cases, 40 babies had congenital anomalies, incidence is 1.3%, most commonly involved system is musculoskeletal system followed by cardiovascular system. Major risk factors associated are extremes of age, parity, lack of ante natal check-ups, no intake of folic acid, maternal diabetes mellitus.Conclusions: Congenital malformations though cannot be prevented totally but can be minimised and if detected early which reduces mental agony in mother and family. Prenatal counselling, periconceptional folate, anomaly scan, prenatal diagnosis reduces the incidence of neonatal and infant morbidity and mortalities in India

    Emulated Control System for a Nuclear Reactor

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    This paper discusses some of the instrumentation aspects of process control system developed for a nuclear power plant. Monitoring and controlling are the essential elements in the normal, abnormal and emergency operation of nuclear power plant. Through their sensors and transmitters, control systems measure process variables and inturn to control valves, motors and other electromechanical equipments of the nuclear plant. In this context, we have developed a Labview based such control system aimed at developing a real time system to deploy via IoT(Internet of Things). We represent here our conceptual design developed in Labview platform integrated with Arduino Uno microcontroller. The instrumentation and control system measures basic physical parameters like level, temperature and pressure using sensors. The monitoring and control of the temperature is done using virtual instrument software LabView, which acts as data acquisition module. It monitors performance and helps in controlling the nuclear plant operations to keep the process variables within the plant design limits and ensures the plant safety. The transmission of data from one end to another end is done through wireless technology ZigBee, to monitor and analyzeplant processes and equipment on the Labview platform

    10-[2-(Dimethyl­amino)eth­yl]-9-(4-methoxy­phen­yl)-3,3,6,6-tetra­methyl-3,4,6,7,9,10-hexa­hydro­acridine-1,8(2H,5H)-dione

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    In the title compound, C28H38N2O3, the central ring of the acridinedione system adopts a boat conformation, while one of the outer rings adopts a half-chair conformation and the conformation of the other outer ring is between a sofa and a half-chair. The acridinedione system is buckled, with an angle of 22.01 (3)°. The crystal packing comprises layers of mol­ecules laid parallel to the ac plane, being reinforced by an intermolecular C—H⋯O interaction

    Scavenger receptor-mediated delivery of muramyl dipeptide activates antitumor efficacy of macrophages by enhanced secretion of tumor-suppressive cytokines

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    We showed that muramyl dipeptide (MDP) conjugated to maleylated bovine serum albumin (MBSA) was internalized by macrophages (Mphi) through scavenger receptor (SCR)-mediated endocytosis, which leads to 50-fold higher cytotoxic activity against non-Mphi tumor cells compared with that elicited by free MDP-treated Mphi. The enhanced cytotoxic effect of MBSA-MDP was found to be a result of higher secretion of interleukin (IL)-1, IL-6, tumor necrosis factor alpha (TNF-alpha), and nitric oxide (NO) because the addition of antibodies directed against IL-1, IL-6, or TNF-alpha in combination with Mphi cultures totally abrogated the tumoricidal activity of MBSA-MDP. It is interesting to note that MBSA-MDP triggers the secretion of IL-12, whereas IL-10, a Mphi suppressor cytokine, could be detected only on free MDP treatment. The cytotoxic activity of MBSA-MDP was inhibited by indomethacin, indicating a regulatory role for prostaglandin E2 (PGE2). Efficient SCR-mediated intracellular delivery of MDP leading to elimination of cancer cells suggests the immunotherapeutic potential of this approach for treatment of neoplasia

    Cell-Type Specific Transcriptomic Profiling to Dissect Mechanisms of Differential Dendritogenesis

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    The establishment, maintenance and modulation of cell-type specific neural architectures are critically important to the formation of functional neural networks. At the neuroanatomical level, differential patterns of dendritic arborization directly impact neural function and connectivity, however the molecular mechanisms underlying the specification of distinct dendrite morphologies remain incompletely understood. To address this question, we analyzed global gene expression from purified populations of wild-type class I and class IV Drosophila melanogaster dendritic arborization (da) sensory neurons compared to wild-type whole larval RNA using oligo DNA microarray expression profiling. Herein we present detailed experimental methods and bioinformatic anal- yses to correspond with our data reported in the Gene Expression Omnibus under accession number GSE46154. We further provide R code to facilitate data accession, perform quality controls, and conduct bioinformatic analyses relevant to this dataset. Our cell-type specific gene expression datasets provide a valuable resource for guiding further investigations designed to explore the molecular mechanisms underlying differential patterns of neuronal patterning

    Scaling laws governing stochastic growth and division of single bacterial cells

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    Uncovering the quantitative laws that govern the growth and division of single cells remains a major challenge. Using a unique combination of technologies that yields unprecedented statistical precision, we find that the sizes of individual Caulobacter crescentus cells increase exponentially in time. We also establish that they divide upon reaching a critical multiple (\approx1.8) of their initial sizes, rather than an absolute size. We show that when the temperature is varied, the growth and division timescales scale proportionally with each other over the physiological temperature range. Strikingly, the cell-size and division-time distributions can both be rescaled by their mean values such that the condition-specific distributions collapse to universal curves. We account for these observations with a minimal stochastic model that is based on an autocatalytic cycle. It predicts the scalings, as well as specific functional forms for the universal curves. Our experimental and theoretical analysis reveals a simple physical principle governing these complex biological processes: a single temperature-dependent scale of cellular time governs the stochastic dynamics of growth and division in balanced growth conditions.Comment: Text+Supplementar
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