980 research outputs found

    Alzheimer's disease: metallobiology and its counteraction by utilizing characteristic inhibitors

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    Alzheimer's sickness (AD), is an irreversible, reformist neurodegenerative problem which is driving reason for dementia in the senior individual’s causes passing generally inside 7-10 years after determination. Neurodegeneration is surprising characteristics of Alzheimer’s patients happens as a result of neuron harm and dysfunctioning of synaptic transmission. Primarily the cortical zones of mind get influenced which is liable for memory and other mental capacities at last prompts intellectual decrease. Misfolding of Aβ peptide because of oligomerization advanced by Cu2+, Zn2+, Fe2+ions brings about age of oxidative pressure. To forestall age of oxidative pressure by utilizing metal chelators or utilization of bioactive particles of characteristic cause to restrain aggragation of (Aβ) peptide the viable method to forestall Alzheimer’s illness. Key words: dementia, neurodegeneration, chelators, oxidative stress &nbsp

    Bibliography (Part - 3) The publications by the staff of Central Marine Fisheries Research Institute 1991-1995

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    The publications by the staff of Central Marine Fisheries Research Institute; Bibliograph

    Differential Hallmarks of Celiac Versus Non-Celiac Gluten Sensitivity

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    Non-celiac gluten sensitivity (NCGS) is an intestinal tissue transglutaminase (TG2)- and IgE-independent form of GS. NCGS is approximately 6× more prevalent than the classical celiac disease (CD), and its incidence is on the rise. Because of its high relative prevalence and striking resemblance to other forms of GS, there is a greater need to develop new and accurate diagnostic assays to facilitate its definitive diagnosis. As the presence of serum anti-gliadin antibodies (AGA) in the absence of TG2 antibodies is suggestive of NCGS, several reports have recommended AGA immunoassays for differential diagnosis. Although AGA immunoassays are in general suitable for diagnostic purpose, to corroborate NCGS and to distinguish it from CD, a simultaneous use of CD-specific diagnostics, i.e., TG2 antibody-based assay, is also required. Due to lower accuracy of AGA assays than those of TG2-based ones, there will always be a chance (estimated to 5–10%) of misdiagnosing NCGS. Moreover, AGA-based diagnostics would not take into consideration the fact that NCGS is potentially triggered by not only gluten but also other molecules such as fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPs). Therefore, a second generation of assays needs to be developed to differentiate NCGS from CD with high accuracy

    Gene Expression in the Preattachment Bovine Embryo-regulation by Retinoic Acid and in Vitro Culture System

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    Veterinary Biomedical Science

    Polarimetric Models of Circumstellar Discs Including Aggregate Dust Grains

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    The work conducted in this thesis examines the nature of circumstellar discs by investigating irradiance and polarization of scattered light. Two circumstellar discs are investigated. Firstly, H-band high contrast imaging data on the transitional disc of the Herbig Ae/Be star HD169142 are presented. The images were obtained through the polarimetric differential imaging (PDI) technique on the Very Large Telescope (VLT) using the adaptive optics system NACO. Our observations use longer exposure times, allowing us to examine the edges of the disc. Analysis of the observations shows distinct signs of polarization due to circumstellar material, but due to excessive saturation and adaptive optics errors further information on the disc could not be inferred. The HD169142 disc is then modelled using the 3D radiative transfer code Hyperion. Initial models were constructed using a two disc structure, however recent PDI has shown the existence of an annular gap. In addition to this, the annular gap is found not to be devoid of dust. This then led to the construction of a four-component disc structure. Estimates of the mass of dust in the gap (2:10 106 M ) are made as well as for the planet ( 1:53 105 M (0:016MJupiter)) suspected to be responsible for causing the gap. The predicted polarization was also estimated for the disc, peaking at 14 percent. The use of realistic dust grains (ballistic aggregate particles) in Monte Carlo code is also examined. The fortran code DDSCAT is used to calculate the scattering properties for aggregates which are used to replace the spherical grain models used by the radiative transfer code Hyperion. Currently, Hyperion uses four independent elements to de ne the scattering matrix, therefore the use of rotational averaging and a 50/50 percent population of grains and their enantiomers were explored to reduce the number of contributing scattering elements from DDSCAT. A python script was created to extract the scattering data from the DDSCAT output les and to apply a size distribution to the data. The second circumstellar disc investigated is the debris disc of the M dwarf star AU Mic. The disc was modelled, using the radiative transfer code Hyperion, based on F606W (HST) and JHK0-band (Keck II) scattered light observations and F606Wband polarized light observations. Initially, the disc is modelled as a two component structure using two grain types: compact silicate grains and porous dirty ice water. Both models are able to reproduce the observed SED and the F606W and H-band surface brightness pro les, but are unable to t the observed F606W degree of polarization. Therefore, a more complex/realistic grain model was examined (ballistic aggregate particles). In addition, recent millimetre observations suggest the existence of a planetesimal belt < 3 AU from the central star. This belt is included in the BAM2 model and was successful in fitting the observed SED, F606W and H-band surface brightness and F606W polarization. These results demonstrate the limitations of spherical grain models and indicate the importance of modelling more realistic dust grains

    Predicting and Recovering Link Failure Localization Using Competitive Swarm Optimization for DSR Protocol in MANET

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    Portable impromptu organization is a self-putting together, major construction-less, independent remote versatile hub that exists without even a trace of a determined base station or government association. MANET requires no extraordinary foundation as the organization is unique. Multicasting is an urgent issue in correspondence organizations. Multicast is one of the effective methods in MANET. In multicasting, information parcels from one hub are communicated to a bunch of recipient hubs all at once, at a similar time. In this research work, Failure Node Detection and Efficient Node Localization in a MANET situation are proposed. Localization in MANET is a main area that attracts significant research interest. Localization is a method to determine the nodes’ location in the communication network. A novel routing algorithm, which is used for Predicting and Recovering Link Failure Localization using a Genetic Algorithm with Competitive Swarm Optimization (PRLFL-GACSO) Algorithm is proposed in this study to calculate and recover link failure in MANET. The process of link failure detection is accomplished using mathematical modelling of the genetic algorithm and the routing is attained using the Competitive Swarm optimization technique. The result proposed MANET method makes use of the CSO algorithm, which facilitates a well-organized packet transfer from the source node to the destination node and enhances DSR routing performance. Based on node movement, link value, and endwise delay, the optimal route is found. The main benefit of the PRLFL-GACSO Algorithm is it achieves multiple optimal solutions over global information. Further, premature convergence is avoided using Competitive Swarm Optimization (CSO). The suggested work is measured based on the Ns simulator. The presentation metrix are PDR, endwise delay, power consumption, hit ratio, etc. The presentation of the proposed method is almost 4% and 5% greater than the present TEA-MDRP, RSTA-AOMDV, and RMQS-ua methods. After, the suggested method attains greater performance for detecting and recovering link failure. In future work, the hybrid multiway routing protocols are presented to provide link failure and route breakages and liability tolerance at the time of node failure, and it also increases the worth of service aspects, respectively

    Bovine cumulus-granulosa cells contain biologically active retinoid receptors that can respond to retinoic acid

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    Retinoids, a class of compounds that include retinol and its metabolite, retinoic acid, are absolutely essential for ovarian steroid production, oocyte maturation, and early embryogenesis. Previous studies have detected high concentrations of retinol in bovine large follicles. Further, administration of retinol in vivo and supplementation of retinoic acid during in vitro maturation results in enhanced embryonic development. In the present study, we hypothesized that retinoids administered either in vivo previously or in vitro can exert receptor-mediated effects in cumulus-granulosa cells. Total RNA extracted from in vitro cultured cumulus-granulosa cells was subjected to reverse transcription polymerase chain reaction (RT-PCR) and mRNA expression for retinol binding protein (RBP), retinoic acid receptor alpha (RARalpha), retinoic acid receptor beta (RARbeta), retinoic acid receptor gamma (RARgamma), retinoid X receptor alpha (RXRalpha), retinoid X receptor beta (RXRbeta), retinaldehyde dehydrogenase-2 (RALDH-2), and peroxisome proliferator activated receptor gamma (PPARgamma). Transcripts were detected for RBP, RARalpha, RARgamma, RXRalpha, RXRbeta, RALDH-2, and PPARgamma. Expression of RARbeta was not detected in cumulus-granulosa cells. Using western blotting, immunoreactive RARalpha, and RXRbeta protein was also detected in bovine cumulus-granulosa cells. The biological activity of these endogenous retinoid receptors was tested using a transient reporter assay using the pAAV-MCS-betaRARE-Luc vector. Addition of 0.5 and 1 micro molar all-trans retinoic acid significantly (P < 0.05) increased the activity of the pAAV-MCS-betaRARE-Luc reporter compared to cells transfected with the control reporter lacking a retinoic acid response element. Addition of 5 or 10 micro molar all-trans retinol stimulated a mild increase in reporter activity, however, the increase was not statistically significant. Based on these results we conclude that cumulus cells contain endogenously active retinoid receptors and may also be competent to synthesize retinoic acid using the precursor, retinol. These results also indirectly provide evidence that retinoids administered either in vivo previously or in vitro may have exerted a receptor-mediated effect on cumulus-granulosa cells

    DESIGN AND DEVELOPMENT OF NOVEL FLOOD DETECTION SYSTEM USING IOT

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    Devastating floods have emerged as a problem for urban planners and decision-makers in recent years due to an increasing frequency of unprecedented rainfall events all over the world. Flood is a Hazardous phenomenon by which world is encountering from several years. Flooding is a natural calamity that is drawing attention from all around the world due to its detrimental effects on civilization. Because flood events change unlikely, efforts must be done to lessen their impact. Dams are very important, because they are especially used to provide hydroelectricity and for irrigation. As a result, numerous dams have been built in possible locations over the years. Due to the numerous danger considerations connected to the presence of such dams, it has become imperative to create an effective monitoring and management system for the opening of the shutters, hence ensuring a safe water level in dams. Dam management errors can result in man-made calamities. Water levels can alter because of abrupt changes in the levels of nearby lakes or rivers that are connected to it, or because of an abundance of rain in catchment area. Hence in this work, design and implementation of novel flood detection using IoT (Internet of Things) is presented. In this work, GSM module (Global System for Mobile communication) and Thing speak platforms are used to alert the people during floods. This system can effectively detect the flood and loss of lives and property damages can be reduced
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