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  • 1
    Online Resource
    Online Resource
    Science Publishing Corporation ; 2018
    In:  International Journal of Engineering & Technology Vol. 7, No. 2.20 ( 2018-04-18), p. 41-
    In: International Journal of Engineering & Technology, Science Publishing Corporation, Vol. 7, No. 2.20 ( 2018-04-18), p. 41-
    Abstract: The Series and Shunt units don’t have a typical dc link. So their control systems not exactly as same as the traditional UPQC control strategies.This device can improve power quality and composes power electronic series which was in MV/LV Substation, alongside a few electronic-shunt units associated near the end users.Additionally, the increment in power quality can be given to the users we require the shunt units.It reduces the disturbances for all customers that supply main series unit. It provides the customerwith the shunt units. A proposed solution model of LV grid is 400-KVA is considered as steady-state performance and functionalizing units. Outcomes acquired under enduring state conditions justify the design picked and great gadget execution.  
    Type of Medium: Online Resource
    ISSN: 2227-524X
    URL: Issue
    Language: Unknown
    Publisher: Science Publishing Corporation
    Publication Date: 2018
    detail.hit.zdb_id: 2661563-0
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  • 2
    Online Resource
    Online Resource
    Technoscience Academy ; 2022
    In:  International Journal of Scientific Research in Science and Technology
    In: International Journal of Scientific Research in Science and Technology, Technoscience Academy
    Abstract: In the ordinary cleaning application there are three phases of cleaning the floor which incorporates first the general of floors. The subsequent stage is to apply some water for example wet the floor region and rub it with wipe or material to clean the surface. The third stage is to evaporate the floor. There is a need of such machine which will do this in a solitary stroke with additional effectiveness and less endeavors.. Self-loader floor cleaner is a framework that empowers cleaning of the floor by the assistance of profoundly settled and quickly functionalized electronic and mechanical control framework. Current venture work focuses to involve self-loader floor cleaner for huge floor in house-hold purposes and office floors. The cleaning intention is explicitly done by nonstop relative movement between a scrubber and the floor surface. During the cleaning and moving activity of vehicle an impetus instrument, for example, driven haggles wheels for the dry following on the floor surface to be cleaned, pull of residue is completed by vacuum siphon, scouring activity is finished by the scrubber coordinating water towards backside. Ideally, a sweeper component is mounted on the body sent by drive instrument and worked with such control framework for advance clearing of a flotsam and jetsam loaded floor surface. The new self-loader floor cleaner will save enormous expense of work in future. The fundamental benefit of this item is that it will be savvy. Over this paper depicts plan, manufacture and gathering of Three of every One Floor Cleaner.
    Type of Medium: Online Resource
    ISSN: 2395-602X , 2395-6011
    Language: English
    Publisher: Technoscience Academy
    Publication Date: 2022
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  • 3
    Online Resource
    Online Resource
    Institute of Advanced Engineering and Science ; 2015
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 5, No. 5 ( 2015-10-01), p. 1158-
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 5, No. 5 ( 2015-10-01), p. 1158-
    Abstract: 〈 div class="WordSection1" 〉 〈 p 〉 Assessing the performance of an educational institute is a prime concern in an educational scenario. Educational Data Mining (EDM) considers several tasks originated from an educational context. One of the tasks identified is providing feedback for supporting instructors, administrators, teachers, course authors in decision making and thereby enable them to take appropriate remedial action. In this research, we have developed a prototype Neural Network Model which is trained to predict the performance of an educational institution. A Multilayer Perceptron Neural Network (MLP) model had been developed for this proposed research. The network is trained by back propagation algorithm. Data was obtained from a well-defined questionnaire consisting of 14 questions in the domains namely Academic Schedule, International Exposure, Jobs and Internship, Quality of the college, and Life at Campus. The results of these questions have been taken as inputs and performance of the institute has been considered as the output. To, validate the results generated by the network, statistical techniques have been used for the purpose. In this proposed research performance of an educational institution has been predicted. The results generated by the Neural Network and the statistical techniques have been compared in this research and it is observed that, both the methods have generated accurate results. The results have been considered based on the Normalized System Error (NSE) values of the network. A prototype Neural Network model has been developed to assess the performance of an educational institution. 〈 /p 〉 〈 strong 〉 〈 /strong 〉 〈 /div 〉
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2015
    detail.hit.zdb_id: 2667127-X
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  • 4
    In: JAMA, American Medical Association (AMA), Vol. 326, No. 17 ( 2021-11-02), p. 1690-
    Type of Medium: Online Resource
    ISSN: 0098-7484
    RVK:
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2021
    detail.hit.zdb_id: 2958-0
    detail.hit.zdb_id: 2018410-4
    SSG: 5,21
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  • 5
    In: Nature, Springer Science and Business Media LLC, Vol. 599, No. 7883 ( 2021-11-04), p. 114-119
    Abstract: The B.1.617.2 (Delta) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in the state of Maharashtra in late 2020 and spread throughout India, outcompeting pre-existing lineages including B.1.617.1 (Kappa) and B.1.1.7 (Alpha) 1 . In vitro, B.1.617.2 is sixfold less sensitive to serum neutralizing antibodies from recovered individuals, and eightfold less sensitive to vaccine-elicited antibodies, compared with wild-type Wuhan-1 bearing D614G. Serum neutralizing titres against B.1.617.2 were lower in ChAdOx1 vaccinees than in BNT162b2 vaccinees. B.1.617.2 spike pseudotyped viruses exhibited compromised sensitivity to monoclonal antibodies to the receptor-binding domain and the amino-terminal domain. B.1.617.2 demonstrated higher replication efficiency than B.1.1.7 in both airway organoid and human airway epithelial systems, associated with B.1.617.2 spike being in a predominantly cleaved state compared with B.1.1.7 spike. The B.1.617.2 spike protein was able to mediate highly efficient syncytium formation that was less sensitive to inhibition by neutralizing antibody, compared with that of wild-type spike. We also observed that B.1.617.2 had higher replication and spike-mediated entry than B.1.617.1, potentially explaining the B.1.617.2 dominance. In an analysis of more than 130 SARS-CoV-2-infected health care workers across three centres in India during a period of mixed lineage circulation, we observed reduced ChAdOx1 vaccine effectiveness against B.1.617.2 relative to non-B.1.617.2, with the caveat of possible residual confounding. Compromised vaccine efficacy against the highly fit and immune-evasive B.1.617.2 Delta variant warrants continued infection control measures in the post-vaccination era.
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
    RVK:
    RVK:
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 120714-3
    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 6
    In: Frontiers in Plant Science, Frontiers Media SA, Vol. 13 ( 2022-12-6)
    Abstract: Climate change across the globe has an impact on the occurrence, prevalence, and severity of plant diseases. About 30% of yield losses in major crops are due to plant diseases; emerging diseases are likely to worsen the sustainable production in the coming years. Plant diseases have led to increased hunger and mass migration of human populations in the past, thus a serious threat to global food security. Equipping the modern varieties/hybrids with enhanced genetic resistance is the most economic, sustainable and environmentally friendly solution. Plant geneticists have done tremendous work in identifying stable resistance in primary genepools and many times other than primary genepools to breed resistant varieties in different major crops. Over the last two decades, the availability of crop and pathogen genomes due to advances in next generation sequencing technologies improved our understanding of trait genetics using different approaches. Genome-wide association studies have been effectively used to identify candidate genes and map loci associated with different diseases in crop plants. In this review, we highlight successful examples for the discovery of resistance genes to many important diseases. In addition, major developments in association studies, statistical models and bioinformatic tools that improve the power, resolution and the efficiency of identifying marker-trait associations. Overall this review provides comprehensive insights into the two decades of advances in GWAS studies and discusses the challenges and opportunities this research area provides for breeding resistant varieties.
    Type of Medium: Online Resource
    ISSN: 1664-462X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2687947-5
    detail.hit.zdb_id: 2613694-6
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  • 7
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-06-21)
    Abstract: Breakthrough infections with SARS-CoV-2 Delta variant have been reported in doubly-vaccinated recipients and as re-infections. Studies of viral spread within hospital settings have highlighted the potential for transmission between doubly-vaccinated patients and health care workers and have highlighted the benefits of high-grade respiratory protection for health care workers. However the extent to which vaccination is preventative of viral spread in health care settings is less well studied. Here, we analysed data from 118 vaccinated health care workers (HCW) across two hospitals in India, constructing two probable transmission networks involving six HCWs in Hospital A and eight HCWs in Hospital B from epidemiological and virus genome sequence data, using a suite of computational approaches. A maximum likelihood reconstruction of transmission involving known cases of infection suggests a high probability that doubly vaccinated HCWs transmitted SARS-CoV-2 between each other and highlights potential cases of virus transmission between individuals who had received two doses of vaccine. Our findings show firstly that vaccination may reduce rates of transmission, supporting the need for ongoing infection control measures even in highly vaccinated populations, and secondly we have described a novel approach to identifying transmissions that is scalable and rapid, without the need for an infection control infrastructure.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2615211-3
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