37 research outputs found

    Performance assessment and analysis of development and operations based automation tools for source code management

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    Development and operations (DevOps), an accretion of automation tools, efficiently reaches the goals of software development, test, release, and delivery in terms of optimization, speed and quality. Diverse set of alternative automation tools exist for different phases of software development, for which DevOps adopts several selection criteria to choose the best tool. This research paper represents the performance evaluation and analysis of automation tools employed in the coding phase of DevOps culture. We have taken most commonly followed source code management tools-BitBucket, GitHub actions, and GitLab into consideration. Current work assesses and analyzes their performance based on DevOps evaluation criteria that too are categorized into different dimensions. For the purpose of performance evaluation, weightage and overall score is assigned to these criteria based on existing renowned literature and industrial case study of TekMentors Pvt Ltd. On the ground of performance outcome, the tool with the highest overall score is realized as the best source code automation tool. This performance analysis or measure will be a great benefit to our young researchers/students to gain an understanding of the modus operandi of DevOps culture, particularly source code automation tools. As a part of future research, other dimensions of selection criteria can also be considered for evaluation purposes

    Three Mothers in Academia: Looking Inwards, Taking Stock, and Moving Forward

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    Grounded in relational cultural theory (RCT) as an approach for developing women’s sense of self and maintaining connections with one another and with all women across racial, ethnic, and age divides, three mothers in the academy come together to restory our experiences of being and becoming mothers while navigating the higher educational landscape. We focus on critical incidents (Farrell) to create our collective autoethnography. Critical incidents are events that are unplanned and unanticipated and allow one to think about “what happened, why it happened and what else could have been done to reach their goals” (Farrell 3). Sharing our experiences means prioritizing the stories that are often overlooked in higher education institutions, where whiteness and male superiority abound. Specifically, we focus on what it means to navigate institutional expectations, given the mothering norms and responsibilities facing women of colour, who already exist on the margins. Coming together across racial, ethnic, and age divides in the academy led us to disclose specific events that challenged our professional and mothering responsibilities. Although we differ in terms of ethnicity, age, as well as academic and marital status, we still discussed the challenging nature of balancing home and academic lives both before and during the pandemic. We conclude with implications that focus on specific strategies for ourselves as well as others in the academy to support and nurture the development of mothers in academia

    Sublinear Approximation Algorithm for Nash Social Welfare with XOS Valuations

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    We study the problem of allocating indivisible goods among nn agents with the objective of maximizing Nash social welfare (NSW). This welfare function is defined as the geometric mean of the agents' valuations and, hence, it strikes a balance between the extremes of social welfare (arithmetic mean) and egalitarian welfare (max-min value). Nash social welfare has been extensively studied in recent years for various valuation classes. In particular, a notable negative result is known when the agents' valuations are complement-free and are specified via value queries: for XOS valuations, one necessarily requires exponentially many value queries to find any sublinear (in nn) approximation for NSW. Indeed, this lower bound implies that stronger query models are needed for finding better approximations. Towards this, we utilize demand oracles and XOS oracles; both of these query models are standard and have been used in prior work on social welfare maximization with XOS valuations. We develop the first sublinear approximation algorithm for maximizing Nash social welfare under XOS valuations, specified via demand and XOS oracles. Hence, this work breaks the O(n)O(n)-approximation barrier for NSW maximization under XOS valuations. We obtain this result by developing a novel connection between NSW and social welfare under a capped version of the agents' valuations. In addition to this insight, which might be of independent interest, this work relies on an intricate combination of multiple technical ideas, including the use of repeated matchings and the discrete moving knife method. In addition, we partially complement the algorithmic result by showing that, under XOS valuations, an exponential number of demand and XOS queries are necessarily required to approximate NSW within a factor of (1−1e)\left(1 - \frac{1}{e}\right).Comment: 41 page

    Ruptured tubal pregnancy in an undiagnosed heterotopic pregnancy

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    Heterotopic pregnancy is rare obstetrical emergency the diagnosis of which is usually delayed. A high degree of suspicion is required to diagnose to reduce maternal morbidity and mortality. At the same time salvage of the intrauterine pregnancy can be done

    ECMO: a lifesaving modality in ARDS during puerperium

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    Acute respiratory distress syndrome (ARDS) is an uncommon condition encountered in pregnancy. The incidence of ARDS in pregnancy has been reported to be 1 in 6229 deliveries with mortality rates to range from 24% to 39% in pregnant patients. An essential component in management of ARDS involves good communication between the obstetrics team and critical care specialist and a fundamental understanding of mechanical ventilatory support. In critically ill patients where both cardiorespiratory support is required, Extracorporeal Membrane Oxygenation (ECMO) can be used to help maintain the vital functions. ECMO is a temporary cardio respiratory or respiratory support in critically ill patients who are unresponsive to conventional management.  In present case a young female with post-partum ARDS was successfully managed with extra corporeal membrane oxygenation (ECMO)

    Bhageerath: an energy based web enabled computer software suite for limiting the search space of tertiary structures of small globular proteins

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    We describe here an energy based computer software suite for narrowing down the search space of tertiary structures of small globular proteins. The protocol comprises eight different computational modules that form an automated pipeline. It combines physics based potentials with biophysical filters to arrive at 10 plausible candidate structures starting from sequence and secondary structure information. The methodology has been validated here on 50 small globular proteins consisting of 2–3 helices and strands with known tertiary structures. For each of these proteins, a structure within 3–6 Å RMSD (root mean square deviation) of the native has been obtained in the 10 lowest energy structures. The protocol has been web enabled and is accessible at

    Variable X/A divergence and male-mutation bias near and far from genes in Great Apes

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    <p>The slides are from a presentation at the annual meeting of Society of Molecular Biology and Evolution at Vienna, Austria from July 12-16, 2015. </p> <p> </p> <p>While the role of natural selection is shaping the patterns of diversity is widely known, its impact in shaping the patterns of divergence along the long evolutionary timescales, are not well studied. We show that patterns of divergence near and far from genes on the X and autosomes are consistent with natural selection reducing inter-species genetic divergence in neutral regions near genes. Furthermore, the effect of natural selection on linked neutral sites appears to be stronger on the X chromosome, potentially confounding assessments that compare neutral divergence rates between the X and autosomes.</p> <p> </p> <p> </p

    Health insurance coverage and out-of pocket expenditure: A study among rural and urban households of Faridabad, Haryana

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    Introduction: Catastrophic health spending is one of the major factors pushing people into poverty. Reducing “out-of-pocket expenditure (OOPE)” on health through health insurance coverage is an effective approach. The objectives of this study are (1) to estimate health insurance coverage among rural and urban households (HHs) and (2) to determine the proportion of income spent on health as OOPE among the selected HHs. Material and Methods: A cross-sectional study was conducted in rural and urban parts of district Faridabad, Haryana. A sample of 374 were taken from rural and urban areas. The unit of the study was HHs in both the areas. The proportion of income spent on health care (both direct and indirect expenses included) as OOPE was taken as outcome variable. Results: Health insurance coverage was higher among urban HHs (58.0%) as compared to the rural (38.5%). The rural population was availing of private consultation, laboratory, and pharmacy services to a greater extent than the urban; hence, they were spending a substantial proportion of their income on health-care services. The majority of the HHs in the rural and urban areas spent up to 20% of their income on health care. Conclusion: Universal health coverage without health insurance is unlikely

    Ruptured tubal pregnancy in an undiagnosed heterotopic pregnancy

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    Heterotopic pregnancy is rare obstetrical emergency the diagnosis of which is usually delayed. A high degree of suspicion is required to diagnose to reduce maternal morbidity and mortality. At the same time salvage of the intrauterine pregnancy can be done
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