74 research outputs found

    Domination number of a bipartite semigraph when it is a cycle

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    Semigraph is a generalization of graph, with two or more vertices on edges which allows multiplicity in every concept of graph when it comes to semigraph. When number of vertices on the edges are restricted to two the semigraph is a graph, so every graph is a semigraph. In this article we deal with the variety of bipartite semigraphs, namely bipartite, s-bipartite and e-bipartite and bounds for their domination number (adjacent domination number and end vertex adjacent domination number) in particular when the semigraph is a cycle and also about possible size of the bipartite sets when the bipartite semigraph is a cycle.Publisher's Versio

    Proactive cloud service assurance framework for fault remediation in cloud environment

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    Cloud resiliency is an important issue in successful implementation of cloud computing systems. Handling cloud faults proactively, with a suitable remediation technique having minimum cost is an important requirement for a fault management system. The selection of best applicable remediation technique is a decision making problem and considers parameters such as i) Impact of remediation technique ii) Overhead of remediation technique ii) Severity of fault and iv) Priority of the application. This manuscript proposes an analytical model to measure the effectiveness of a remediation technique for various categories of faults, further it demonstrates the implementation of an efficient fault remediation system using a rule-based expert system. The expert system is designed to compute an utility value for each remediation technique in a novel way and select the best remediation technique from its knowledgebase. A prototype is developed for experimentation purpose and the results shows improved availability with less overhead as compared to a reactive fault management system

    Prospective study of radiological and functional outcomes of humeral mid-shaft fractures by anterior bridge plating technique

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    Background: The humerus can be considered the most versatile bone in the human body. Can be successfully approached by a variety of methods for fracture fixation including functional bracing, plating (posterior, lateral, and anterior), and intramedullary nailing (antegrade and retrograde). Notably, many humeral fractures can be successfully managed conservatively due to the wide range of acceptability for reduction. Anterior bridge plating (ABP) which utilizes the minimally invasive approach popularly known as the minimally invasive percutaneous plate osteosynthesis (MIPPO) technique can be said to be the latest entrant in this list. The present study was undertaken to evaluate the efficacy of ABP. Methods: The study was carried out from July 2020 to July 2022 in DR. D. Y. Patil medical college and hospital, Nerul, Navi Mumbai, involving 32 patients who met the selection criteria and were operated at the tertiary care centre. Informed consent was obtained from all the patients for use of their clinical and imaging data. Ethical committee approval was taken. The assessment of the patients was done based on functional and radiological outcomes periodically. Results: Majority of patients belongs to age group 18-25 years (46.87%). Majority of side of injury were found right side (65.62%). In most of the cases, the extent of the displacement of fractures were 2-5 cm (71.87). Conclusions: In conclusion ABP is a very good technique in treating mid-shaft humeral fractures with minimal soft tissue dissection, smaller scars, and early return to overhead activities

    Role of CYP1B1, MYOC, OPTN and OPTC genes in adult-onset primary open-angle glaucoma: predominance of CYP1B1 mutations in Indian patients

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    Mutations in the CYP1B1, MYOC, OPTN, and WDR36 genes result in glaucoma. Given its expression in the optic nerve, it is likely a mutation in the OPTC gene is also involved in initiating glaucoma. This study was designed to evaluate the involvement of the CYP1B1, MYOC, OPTN, and OPTC genes in the etiology of adult-onset primary open-angle glaucoma (POAG) found in 251 Indian patients

    Genome sequence of the necrotrophic plant pathogen Pythium ultimum reveals original pathogenicity mechanisms and effector repertoire

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    Background: Pythium ultimum (P. ultimum) is a ubiquitous oomycete plant pathogen responsible for a variety of diseases on a broad range of crop and ornamental species. Results: The P. ultimum genome (42.8 Mb) encodes 15,290 genes and has extensive sequence similarity and synteny with related Phytophthora species, including the potato blight pathogen Phytophthora infestans. Whole transcriptome sequencing revealed expression of 86% of genes, with detectable differential expression of suites of genes under abiotic stress and in the presence of a host. The predicted proteome includes a large repertoire of proteins involved in plant pathogen interactions although surprisingly, the P. ultimum genome does not encode any classical RXLR effectors and relatively few Crinkler genes in comparison to related phytopathogenic oomycetes. A lower number of enzymes involved in carbohydrate metabolism were present compared to Phytophthora species, with the notable absence of cutinases, suggesting a significant difference in virulence mechanisms between P. ultimum and more host specific oomycete species. Although we observed a high degree of orthology with Phytophthora genomes, there were novel features of the P. ultimum proteome including an expansion of genes involved in proteolysis and genes unique to Pythium. We identified a small gene family of cadherins, proteins involved in cell adhesion, the first report in a genome outside the metazoans. Conclusions: Access to the P. ultimum genome has revealed not only core pathogenic mechanisms within the oomycetes but also lineage specific genes associated with the alternative virulence and lifestyles found within the pythiaceous lineages compared to the Peronosporaceae

    Tumor Biology and Immune Infiltration Define Primary Liver Cancer Subsets Linked to Overall Survival After Immunotherapy

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    Primary liver cancer is a rising cause of cancer deaths in the US. Although immunotherapy with immune checkpoint inhibitors induces a potent response in a subset of patients, response rates vary among individuals. Predicting which patients will respond to immune checkpoint inhibitors is of great interest in the field. In a retrospective arm of the National Cancer Institute Cancers of the Liver: Accelerating Research of Immunotherapy by a Transdisciplinary Network (NCI-CLARITY) study, we use archived formalin-fixed, paraffin-embedded samples to profile the transcriptome and genomic alterations among 86 hepatocellular carcinoma and cholangiocarcinoma patients prior to and following immune checkpoint inhibitor treatment. Using supervised and unsupervised approaches, we identify stable molecular subtypes linked to overall survival and distinguished by two axes of aggressive tumor biology and microenvironmental features. Moreover, molecular responses to immune checkpoint inhibitor treatment differ between subtypes. Thus, patients with heterogeneous liver cancer may be stratified by molecular status indicative of treatment response to immune checkpoint inhibitors

    Genetics and Pathogenesis of Diffuse Large B-Cell Lymphoma.

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    BACKGROUND: Diffuse large B-cell lymphomas (DLBCLs) are phenotypically and genetically heterogeneous. Gene-expression profiling has identified subgroups of DLBCL (activated B-cell-like [ABC], germinal-center B-cell-like [GCB], and unclassified) according to cell of origin that are associated with a differential response to chemotherapy and targeted agents. We sought to extend these findings by identifying genetic subtypes of DLBCL based on shared genomic abnormalities and to uncover therapeutic vulnerabilities based on tumor genetics. METHODS: We studied 574 DLBCL biopsy samples using exome and transcriptome sequencing, array-based DNA copy-number analysis, and targeted amplicon resequencing of 372 genes to identify genes with recurrent aberrations. We developed and implemented an algorithm to discover genetic subtypes based on the co-occurrence of genetic alterations. RESULTS: We identified four prominent genetic subtypes in DLBCL, termed MCD (based on the co-occurrence of MYD88L265P and CD79B mutations), BN2 (based on BCL6 fusions and NOTCH2 mutations), N1 (based on NOTCH1 mutations), and EZB (based on EZH2 mutations and BCL2 translocations). Genetic aberrations in multiple genes distinguished each genetic subtype from other DLBCLs. These subtypes differed phenotypically, as judged by differences in gene-expression signatures and responses to immunochemotherapy, with favorable survival in the BN2 and EZB subtypes and inferior outcomes in the MCD and N1 subtypes. Analysis of genetic pathways suggested that MCD and BN2 DLBCLs rely on "chronic active" B-cell receptor signaling that is amenable to therapeutic inhibition. CONCLUSIONS: We uncovered genetic subtypes of DLBCL with distinct genotypic, epigenetic, and clinical characteristics, providing a potential nosology for precision-medicine strategies in DLBCL. (Funded by the Intramural Research Program of the National Institutes of Health and others.).This research was supported by the Intramural Research Program of the NIH, Center for Cancer Research, National Cancer Institute and by a National Cancer Institute Strategic Partnering to Evaluate Cancer Signatures (SPECS II) grant (5U01CA157581-05). R.S. was supported by the Dr Mildred Scheel Stiftung fĂŒr Krebsforschung (Deutsche Krebshilfe). D.J.H. was a Kay Kendall Leukaemia Fund Intermediate research fellow. M.K. was supported by the National Institutes of Health Oxford-Cambridge Scholars Program and the Washington University in St. Louis Medical Scientist Training Progra

    Assessment of depression and anxiety in couples with infertility

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    Background: Infertility is considered a major setback for the couple and the increasing magnitude of infertility issues causes life crises with a wide range of sociocultural, emotional, physical, and financial problems. The study aims to assess the prevalence and severity of depression and anxiety in couples diagnosed with infertility and to determine the relationship, if any, between the severity of depression and anxiety with sociodemographic variables, duration, and treatment of infertility. Setting and Design: This is a descriptive observational study that was carried out in the outpatient department setting of a tertiary care hospital from January “2020 to December” 2020. Aims and Objectives: The study aims at assessing the prevalence and severity of depression and anxiety in couples diagnosed with infertility and determining the relationship, if any, between the severity of depressive and anxiety symptoms and the treatment received for infertility. Materials and Methods: Fifty couples (100 subjects) diagnosed with infertility fulfilling inclusion and exclusion criteria were assessed using specially designed pro forma and relevant scales for assessment. Detailed history regarding symptoms of infertility was taken, and patients were interviewed based on the International Statistical Classification of Diseases-10 criteria for depression and anxiety. Hamilton Depression Rating Scale and Hamilton Anxiety Rating Scale questionnaires were used to measure the severity of depressive and anxiety symptoms. Statistical Analysis: The collected data were coded and entered in a Microsoft Excel sheet. The data were analyzed using Statistical Packages for the Social Science version 21.0 software. The results are presented in a tabular and graphical format. For quantitative data, mean and standard deviation (SD), etc., were calculated. Qualitative data were represented in the form of frequency and percentage. The association between qualitative variables was assessed by Fisher's exact test. Quantitative data were represented using mean ± SD. Analysis of quantitative data between the two groups was done using an unpaired t-test if the data passed the “Normality test” and by Mann–Whitney test if the data failed the “Normality test.” P < 0.05 was taken as the level of significance. Results: A statistically significant was found between depression among wives and the support received from their respective spouses and a significant correlation was observed between the duration of infertility with the presence of depression and anxiety among couples (P < 0.01). A significant correlation was also observed between the duration of treatment of infertility with the presence of depression and anxiety among couples (P < 0.01). Conclusion: In our study, the prevalence and severity of depression and anxiety are found to be associated with the support received from the spouse and statistically significant correlation was found between the prevalence and severity of depression and anxiety and the duration of infertility and the duration of treatment. No statistically significant relationship was found with the age of the patient, education level, occupation, and number of early issues
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