82 research outputs found

    Different Avenues of Capital Market (Secondary Market) Available for Investing in Market of Yamuna Nagar

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    Within the financial sector, the term "financial markets" is often used to refer just to the markets that are used to raise finance: for long-term finance, the Capital markets; for short-term finance, the Money markets. Capital markets which to consist of: [1] Stock markets, which provide financing through the issuance of shares or common stock, and enable the subsequent trading thereof. [2] Bond markets, which provide financing through the issuance of bonds, and enable the subsequent trading thereof. [3] Commodity markets, which facilitate the trading of commodities. [4] Money markets, which provide short-term debt financing and investment. [5] Derivatives markets, which provide instruments for the management of financial risk. [6]Foreign exchange markets, which facilitate the trading of foreign exchange. [7] Spot market. This study aims to analyze the different avenues of Capital Market (Secondary Market) available for investment In the market of Yamuna Nagar. It intends to know the number of instruments available in Secondary Capital Market and the type of investing instruments prefer by the investors with Risk and Return analysis. Research methodology is descriptive in nature

    ESTIMATION OF SERUM COPPER AND ZINC LEVEL IN PATIENTS WITH ORAL SUB MUCOUS FIBROSIS AND ORAL SQUAMOUS CELL CARCINOMA

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    Trace elements are receiving too much attention as they are found to be significantly altered in head and neck, lung and breast carcinomas, and there is need to develop sensitive, specific and faster tests as an aid in the early diagnosis of the primary tumor and its recurrence or malignant transformation in premalignant states.Aim: To estimate serum copper and zinc levels in Oral Submucous Fibrosisand oral squamous cell carcinoma patients. Methodology: Sera of OSCC (n = 10) and OSMF (n = 10) patients and of healthy controls was analysed for the estimation of Cu and Zn using atomic absorption spectrophotometry. Results: There was an increase in sera levels of Cu while those of Zn were decreased in both Oral Submucous fibrosis and Oral Squamous Cell Carcinoma patients as compared to the healthy controls. Conclusion: It could be concluded that there is an alteration of sera levels of these trace elements which can be helpful in early detection and management in OSMF and OSCC patients

    Speeding Up Technology-Independent Timing Optimization by Network Partitioning

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    Abstract Technology-independenttiming optimizationis an importantproblem in logic synthesis. Although many promising techniques have been proposed in the past, unfortunately they are quite slow and thus impractical for large networks. In this paper, we propose DE-PART, a delay-basedpartitioner-cum-optimizer, which purports to solve this problem. Given a combinational logic network that is to be optimized for timing, DEPART divides it into sub-networks using timing information and a constraint on the maximum number of gates allowed in a single sub-network. These sub-networks are then dispatched, one by one, to a standard timing optimizer. The optimized sub-networks are re-glued, generating an optimized network. The challenge is how to partition the original network into sub-networks so that the nal solution quality after partitioning and optimization is comparable to that from the timing optimizer. We propose a partitioning technique that is timing-driven and is simple yet e ective. We compare DEPART with speed up 21 , a state-of-the-art timing optimization tool, and with various partitioning techniques such as min-cut based and region growing, on a suite of large industrial and ISCAS circuits. On more than half of the benchmarks, DEPART yields run-time improvements of 20 to 450 times over a normal invocation of speed up the overall average improvement being 8 times, without compromising the solution quality m uch. Min-cut and region growing partitioning schemes, not being timing-driven, perform poorly in terms of the nal circuit delay

    Avirulence effector discovery in a plant galling and plant parasitic arthropod, the Hessian fly (Mayetiola destructor)

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    Citation: Aggarwal R, Subramanyam S, Zhao C, Chen M-S, Harris MO, et al. (2014). Avirulence Effector Discovery in a Plant Galling and Plant Parasitic Arthropod, the Hessian Fly (Mayetiola destructor). PLoS ONE 9(6): e100958. doi:10.1371/journal.pone.0100958Highly specialized obligate plant-parasites exist within several groups of arthropods (insects and mites). Many of these are important pests, but the molecular basis of their parasitism and its evolution are poorly understood. One hypothesis is that plant parasitic arthropods use effector proteins to defeat basal plant immunity and modulate plant growth. Because avirulence (Avr) gene discovery is a reliable method of effector identification, we tested this hypothesis using high-resolution molecular genetic mapping of an Avr gene (vH13) in the Hessian fly (HF, Mayetiola destructor), an important gall midge pest of wheat (Triticum spp.). Chromosome walking resolved the position of vH13, and revealed alleles that determine whether HF larvae are virulent (survive) or avirulent (die) on wheat seedlings carrying the wheat H13 resistance gene. Association mapping found three independent insertions in vH13 that appear to be responsible for H13-virulence in field populations. We observed vH13 transcription in H13-avirulent larvae and the salivary glands of H13-avirulent larvae, but not in H13-virulent larvae. RNA-interference-knockdown of vH13 transcripts allowed some H13-avirulent larvae to escape H13-directed resistance. vH13 is the first Avr gene identified in an arthropod. It encodes a small modular protein with no sequence similarities to other proteins in GenBank. These data clearly support the hypothesis that an effector-based strategy has evolved in multiple lineages of plant parasites, including arthropods

    Genomic analysis of a 1 Mb region near the telomere of Hessian fly chromosome X2 and avirulence gene vH13

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    BACKGROUND: To have an insight into the Mayetiola destructor (Hessian fly) genome, we performed an in silico comparative genomic analysis utilizing genetic mapping, genomic sequence and EST sequence data along with data available from public databases. RESULTS: Chromosome walking and FISH were utilized to identify a contig of 50 BAC clones near the telomere of the short arm of Hessian fly chromosome X2 and near the avirulence gene vH13. These clones enabled us to correlate physical and genetic distance in this region of the Hessian fly genome. Sequence data from these BAC ends encompassing a 760 kb region, and a fully sequenced and assembled 42.6 kb BAC clone, was utilized to perform a comparative genomic study. In silico gene prediction combined with BLAST analyses was used to determine putative orthology to the sequenced dipteran genomes of the fruit fly, Drosophila melanogaster, and the malaria mosquito, Anopheles gambiae, and to infer evolutionary relationships. CONCLUSION: This initial effort enables us to advance our understanding of the structure, composition and evolution of the genome of this important agricultural pest and is an invaluable tool for a whole genome sequencing effort

    Vaccination Status and Outcome of Patients at a Dedicated COVID-19 Centre, Delhi, India: A Retrospective Study

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    Introduction: Coronavirus Disease-2019 (COVID-19) vaccine provides strong protection against transmission, serious illness, hospitalisation, and death. As India carried out robust vaccination drive covering more than two third of its population, the study was aimed to highlight the effects of vaccination status of patient on the outcome of COVID-19 infection. Aim: To describe the relation of vaccination with disease severity and its outcome during the third wave of COVID-19. Materials and Methods: It was a single-centre retrospective, cross-sectional study conducted in a dedicated COVID-19 Hospital (Guru Tegh Bahadur Hospital) in Delhi, India. A total of 257 patients were admitted between 10th January 2022 to 9th February 2022, and 246 were included in the study. For each individual, demographic, and clinical data was collected. Vaccination data was extracted via the CoWin platform which included vaccine type, as well as date of administration. The profile of patients was established based on clinical examination, laboratory data, nursing record and radiological record during the course of hospitalisation. The clinical outcome was described as discharge, length of hospital stays, and in-hospital death in relation to the vaccination status. Statistical analysis was done using Statistical Package for the Social Sciences (SPSS), version 22.0. Results: Total of 246 patients were divided into three groups- 97 were fully vaccinated, 46 were partially vaccinated and 103 were unvaccinated. Both vaccinated and unvaccinated groups had similar percentage of co-morbidities i.e. 61.3% vs 63.5%. Those who were fully vaccinated were more likely to maintain saturation at room air 30.9% vs 26.1% vs 3.9%, had lesser requirements of mechanical ventilation (6.2% vs 15.2% vs 21.4%), shorter duration of hospital stay (4.2 vs 5.3 vs 7.2 days), and lesser mortality (9.3% vs 21.7% vs 33%) as compared to the partially vaccinated and unvaccinated patients respectively. Conclusion: The beneficial effect of the vaccination was observed in severity, mortality, morbidity, and lesser number of hospitalisations. Hence, vaccination coverage was critical in reducing the severity in reducing the and the hospitalisation in third wave of COVID-19

    A BAC-based physical map of the Hessian fly genome anchored to polytene chromosomes

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    <p>Abstract</p> <p>Background</p> <p>The Hessian fly (<it>Mayetiola destructor</it>) is an important insect pest of wheat. It has tractable genetics, polytene chromosomes, and a small genome (158 Mb). Investigation of the Hessian fly presents excellent opportunities to study plant-insect interactions and the molecular mechanisms underlying genome imprinting and chromosome elimination. A physical map is needed to improve the ability to perform both positional cloning and comparative genomic analyses with the fully sequenced genomes of other dipteran species.</p> <p>Results</p> <p>An FPC-based genome wide physical map of the Hessian fly was constructed and anchored to the insect's polytene chromosomes. Bacterial artificial chromosome (BAC) clones corresponding to 12-fold coverage of the Hessian fly genome were fingerprinted, using high information content fingerprinting (HIFC) methodology, and end-sequenced. Fluorescence <it>in situ </it>hybridization (FISH) co-localized two BAC clones from each of the 196 longest contigs on the polytene chromosomes. An additional 70 contigs were positioned using a single FISH probe. The 266 FISH mapped contigs were evenly distributed and covered 60% of the genome (95,668 kb). The ends of the fingerprinted BACs were then sequenced to develop the capacity to create sequenced tagged site (STS) markers on the BACs in the map. Only 3.64% of the BAC-end sequence was composed of transposable elements, helicases, ribosomal repeats, simple sequence repeats, and sequences of low complexity. A relatively large fraction (14.27%) of the BES was comprised of multi-copy gene sequences. Nearly 1% of the end sequence was composed of simple sequence repeats (SSRs).</p> <p>Conclusion</p> <p>This physical map provides the foundation for high-resolution genetic mapping, map-based cloning, and assembly of complete genome sequencing data. The results indicate that restriction fragment length heterogeneity in BAC libraries used to construct physical maps lower the length and the depth of the contigs, but is not an absolute barrier to the successful application of the technology. This map will serve as a genomic resource for accelerating gene discovery, genome sequencing, and the assembly of BAC sequences. The Hessian fly BAC-clone assembly, and the names and positions of the BAC clones used in the FISH experiments are publically available at <url>http://genome.purdue.edu/WebAGCoL/Hfly/WebFPC/</url>.</p

    Branching ratios of radiative transitions in O VI

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    We study the branching ratios of the allowed and forbidden radiative transitions among the first few (9) fine structure levels of O VI using relativistic coupled cluster theory. We find irregular patterns for a number of transitions with in nn-complexes with n4n\le4. We have used the exisiting values of the allowed electric dipole (E1E1) transition as a benchmark of our theory. Good agreement with the existing values establish accuracies of not only the theoretical method but the basis function as well. In general the electric quadrupole (E2E2) transition probabilities are greater in magnitude than magnetic dipole (M1M1) transition probabilities, whereas for medium atomic transition frequencies they are of the same order of magnitude. On the other hand if the transitions involved are between two fine structure components of the same term, then the M1M1 transition probability is more probable than that of E2E2. We have analyzed these trends with physical arguments and order of magnitude estimations. The results presented here in tabular and graphical forms are compared with the available theoretical and observed data. Graphical analysis helps to understand the trends of electric and magnetic transitions for the decay channels presented here. Our calculated values of the lifetimes of the excited states are in very good agreement with the available results.Comment: Submitted to J. Phys. B, March 200

    Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

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    The Global Burden of Diseases, Injuries and Risk Factors 2017 includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. METHODS: We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting
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