326 research outputs found

    Histological and immunological correlates of suspected leprosy lesions

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    Thirty-two subjects with suspected leprosy lesions were investigated to assess various modalities of sensibility and sweatfunction and these were correlated with immunological and histological parameters. It was found that pain and temperature, mediated by small unmyelinated fibres were impaired in the early lesions. Impairment of sweat function was seen only when one of the modalities of sensibility was also affected Antibodies specific to a protein (35 kDa) antigen and phenolic glycolipid 1 of Mycobacterium leprae were positive in nine and 12 cases respectively, while 15 of the 31 biopsies revealed the presence of mycobacterial antigens in these lesions. The implications of these findings are discussed

    Synthesis of peptidyl ureas using p-​nitrophenyl (9-​fluorenylmethoxycarbonylamino)​methylcarbamate derivatives

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    Carbamates Fmoc-​NHCHRNHCO2C6H4NO2-​p (Fmoc is 9-​fluorenylmethoxycarbonyl, R is an amino acid side chain) were prepd. using isocyanates derived from Fmoc-​amino acid azides and p-​nitrophenol in the presence of an equimolar quantity of N-​ethyldiisopropylamine. The carbamates were coupled with amino acid ester hydrochlorides to afford dipeptidyl ureas

    MW-​enhanced high-​speed deprotection of Boc group using p-​TsOH and concomitant formation of N-​Me-​amino acid benzyl ester p-​TsOH salts

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    A high-​speed, complete deprotection of Boc group from Boc (Boc = tert-​butoxycarbonyl) amino acids and protected peptide esters employing p-​TsOH in toluene under microwave irradn. is found to be complete in 30 s. The deprotection can be carried out in methanol and acetonitrile also. Under the present conditions, C-​peptide benzyl esters and O-​benzyl ethers have been found to be stable. This has permitted us to carry out the synthesis of [Leu]​enkephalin employing the Boc​/Bzl-​group strategy. Further more, it has been found that both Nα-​Fmoc (Fmoc = 9-​fluorenylmethyloxycarbonyl) and Nα-​Z (Z = benzyloxycarbonyl) groups are completely stable. The present conditions can be extended for the concomitant removal of the Boc group and the formation of C-​benzyl amino acid esters as well. This has been utilized for the synthesis of N-​Me amino acid benzyl esters starting from Boc-​N-​Me amino acids in a single step

    Effect of Curing On the Strength Behaviour of Lime-Fly Ashexpansive Soil Mixes

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    Expansive soils occupying almost 3 lakh km2 in the Indian subcontinent found to be highly problematic due to their extensive swelling and shrinkage nature. This rapid volume change leads to upliftment of foundations, differential settlements, heaving, rutting, etc. on the overlying structures. Concerning with the above problems an effective, economical and long-term method lime stabilisation was selected. In this work it is attempted to study the effect of curing period on the strength behaviour expansive soil treated with lime and fly ash by conducting triaxial shear (UU) test for 0, 3, 7, 14, 28 days with some twenty different proportions

    Bearing Capacity of A Strip Footing Resting On Treated And Untreated Soils

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    Expansive soils are highly susceptible to volumetric changes leading to rapid loss in the bearing capacity of footings resting on them. Among several techniques available to treat expansive soils, lime or fly ash stabilization gained prominence during the past few decades due to its abundance and adaptability. Chemical stabilization is widely used to treat expansive soils as it develops base exchange and cementation processes between clay particles.When expansive soils are treated with chemicals, it is essential to obtain the load-settlement response of footing resting on stabilized ground. In this study, Finite Element Analysis is performed using the commercial software, PLAXIS 2D, to obtain the load-settlement response of a strip footing resting on untreated and treated expansive soil. The bearing capacity of strip footing resting on treated soil is found to be about 150% higher than that of footing resting on untreated soil

    IMPACT OF ACTIVE COMPOUNDS ISOLATED FROM BANANA (MUSA SP. VAR. NANJANGUD RASABALE) FLOWER AND PSEUDOSTEM TOWARDS CYTOPROTECTIVE AND DNA PROTECTION ACTIVITIES

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    Objective: The present study was designed to evaluate for cytoprotective and DNA protective properties of the compounds isolated from ethanol extract of banana flower (EF) and ethanol extract of banana pseudostem (EE).Methods: The four active compounds viz., umbelliferone (C1) andlupeol (C2) from EF and stigmasterol (C3) and β-sitosterol (C4) from EE were isolated by activity-guided repeated fractionation through silica gel column chromatography. The isolated compounds were evaluated for cytoprotective on erythrocytes and pTZ57R/T plasmid DNA protection against hydroxyl radicals.Results: The study revealed that the compounds (C1-C4) at a concentration of 1 mg/ml exhibited 90% protection on erythrocytes membrane oxidation and also protect the pTZ57R/T plasmid DNA damage induced by hydroxyl radicals.Conclusion: These results endorse an insight for a strong chemical basis to the alleged beneï¬cial role of EF and EE in reducing oxidative stress conditions.Â

    An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods

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    As a contribution to reproducible research, this paper presents a framework and a database to improve the development, evaluation and comparison of methods for gait recognition from Motion Capture (MoCap) data. The evaluation framework provides implementation details and source codes of state-of-the-art human-interpretable geometric features as well as our own approaches where gait features are learned by a modification of Fisher's Linear Discriminant Analysis with the Maximum Margin Criterion, and by a combination of Principal Component Analysis and Linear Discriminant Analysis. It includes a description and source codes of a mechanism for evaluating four class separability coefficients of feature space and four rank-based classifier performance metrics. This framework also contains a tool for learning a custom classifier and for classifying a custom query on a custom gallery. We provide an experimental database along with source codes for its extraction from the general CMU MoCap database

    THE CURRENT STATUS AND PERSPECTIVES FOR THE EMERGING PANDEMIC: COVID-19

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    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the extremely communicable viral infection coronavirus disease 19 (covid-19). Initially the virus was found at Wuhan, china which spread across the world exponentially and in a very short span. This outbreak has turned out to be a global health crisis and recently WHO regarded it as pandemic. The origin of the virus is predicted as either the natural selection in animal host prior to the transfer of the pathogen from animals to humans or the natural selection in humans and following transfer. Nevertheless, there is an extensive spread of virus by human to human transfer in the form of droplets. A few antiviral drugs are at the stage of clinical trials to eradicate the covid-19. In this review, a comprehensive approach is put forth to scrutinise the etiology, pathogenicity and transmission of SARS CoV-2. The review also deliberates broadly on the diagnosis and status of therapeutic treatment developed. It also focuses on the preventive and controlling measures from different sectors of the society. The review covers the details reported in 70 studies which were chosen after keyword searches carried out leading to over 884 resulting articles

    Resource Management in Fog Networking of Cloud Computing using KNN Algorithm

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    It is necessary to deploy any application in Cloud environment to reduce the investment cost, maintenance cost and licence of hardware/software. Keeping these benefits, it is advised to go for cloud computing environment for any application deployment. The major challenge in this environment is fault tolerance of resources to support for continuous availability of resources to client for working. Especially in IoT applications, we use Fog networking connecting to cloud computing. In this scenario, it is advised to use KNN (K- Nearest Neighbour) resource identification and allocation algorithm to increase the throughput to user requirement. We are presenting an approach to allocate the required resources with optimal distance resource allocation, so as to improve the throughput of user requirement
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