46 research outputs found

    Subtyping of Dengue Viruses using Return Time Distribution based Appproach

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    Dengue virus (DENV) is the causative agent of Dengue Hemorrhagic Fever and Dengue Shock Syndrome, and continues to represent a major public health hazard. DENVs are antigenically classified in four serotypes and each serotype is further divided into respective genotypes. The association between DENV subtypes and the kind & severity of disease caused by them is known. Experimental and computational approaches for subtyping are routinely used for the purpose of diagnosis and treatment of DENV, in addition to the study of phylodynamics. All virus-specific molecular subtyping tools make use of sequence alignments at backend. But as the volume of molecular data increases, alignment-dependent methods become computationally intensive. Hence, the need for alternative efficient approaches for subtyping of viruses becomes apparent. Recently, the concept of Return time distribution (RTD) was proposed and validated for alignment-free clustering and molecular phylogeny. The RTD-based approach is extended here for the subtyping of DENVs. 
Subtyping methodology involves compilation of curated genomic data of known subtypes, computing RTD of these sequences at different levels of k-mers, derivation a distance matrix and clustering. The subtype of the unknown is predicted based on its clustering with known subtypes.
Dataset consisting of 1359 DENV genomes with sequence identity (>92%) were clustered using the RTD based approach at k=5. Serotype specific clades, despite geographical and temporal variation in the dataset, were observed with 100% accuracy. The method was also found to be efficient in terms of time and implementation, apart from accuracy in the subtyping of DENV

    Development of Single-Phase Microbial Cementation Method and to Investigate its Efficacy on Bearing Capacity, UCS, and Permeability of Sandy Soils

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    Microbially induced calcite precipitation (MICP) is a method based on collaborative knowledge of microbiology, chemistry and geotechnical engineering. The objective of this study was to investigate the increase of the bearing capacity and the unconfined compressive strength (UCS) as well as the reduction of the permeability of sandy soil using MICP. Experiments were carried out using Bacillus Pasteurii, on three different types of sand. The admixture of bacterial culture and cementation (BCC) solution all-in-one with sand by single-phase injection was applied to induce cementation. Three samples of the selected sand were treated with varied concentrations of BCC solution, ranging from 0.05 to 0.2 L/kg, with a curing period of 3, 7 and 14 days. The test results indicated an enhancement of 55% in UCS for sand treated with a BCC content of 0.05 to 0.2 L/Kg and a reduction of 40% in permeability for untreated sand with an effective diameter of 0.5 mm treated with 0.2 L/kg of BCC solution after 14 days of curing. The results of a plate load test (PLT) on MICP treated sand showed an increase in the ultimate bearing capacity (qu) by about 2.95 to 5.8 times and a 1.7 to 3.31-fold reduction in settlement corresponding to the same load applied on untreated footing. Further investigation of the size and shape of the bearing plate on bearing capacity and settlement was carried out through a plate load test. The higher and more favorable results shown by a rectangular plate compared to a circular plate indicate that the first is preferable

    A Case Study of Furunculosis following an Ayurvedic Oil Massage, Sudation Therapy, and Lessons to Learn

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    India has a long history of using sudation therapy and oil massage as Ayurvedic treatments. However, nothing is known about its side effects, and just two studies have identified side effects as cutaneous adverse drug reactions brought on by Ayurvedic oil massage. We are presenting the example of a 72-year-old adult man who visited our hospital and had his right knee massaged with Nirgudi oil followed by sudation therapy. Erythema, papules, itchiness, and scorching pain were some of his symptoms. However, these sensations only partially abated once we quit sudation therapy. Our investigation demonstrates that a Nirgudi oil massage or sudation causes the skin reaction associated with furunculosis. This case report illustrates the necessity of being aware of Panchakarma-related consequences and suggests that medical practitioners, patients, and product makers take into account the likelihood of such a reaction following Nirgudi oil massage and sudation therapy as a precaution

    Reliability Stress-Strength Models for Dependent Observations with Applications in Clinical Trials

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    We consider the applications of stress-strength models in studies involving clinical trials. When studying the effects and side effects of certain procedures (treatments), it is often the case that observations are correlated due to subject effect, repeated measurements and observing many characteristics simultaneously. We develop maximum likelihood estimator (MLE) and uniform minimum variance unbiased estimator (UMVUE) of the reliability which in clinical trial studies could be considered as the chances of increased side effects due to a particular procedure compared to another. The results developed apply to both univariate and multivariate situations. Also, for the univariate situations we develop simple to use lower confidence bounds for the reliability. Further, we consider the cases when both stress and strength constitute time dependent processes. We define the future reliability and obtain methods of constructing lower confidence bounds for this reliability. Finally, we conduct simulation studies to evaluate all the procedures developed and also to compare the MLE and the UMVUE

    Testing the equality of several binomial proportions to a prespecified standard

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    Testing the equality of several binomial proportions was first proposed by Pearson (1900) and the discussion of this test can be found in standard statistics books. In this article we consider testing the equality of several binomial proportions to a known standard. For testing such a hypothesis against a two sided alternative, an intuitive test statistic and its null distribution have been mentioned in Rohatgi (1976). Here we study the non-null distribution of that statistic and provide a simple way of calculating the approximate power via a moment approximation method (MAM). A procedure of constructing simultaneous confidence intervals is also given here. Additionally, we propose test statistics for testing the above null hypothesis against one sided alternative hypotheses. We give simple methods of obtaining the p-value and the power for these test statistics. Finally, two examples are given to illustrate the techniques.Homogeneity of binomial proportions Moment approximation

    Multiple Use One-Sided Hypotheses Testing in Univariate Linear Calibration

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    Consider a normally distributed response variable, related to an explanatory variable through the simple linear regression model. Data obtained on the response variable, corresponding to known values of the explanatory variable (i.e., calibration data), are to be used for testing hypotheses concerning unknown values of the explanatory variable. We consider the problem of testing an unlimited sequence of one sided hypotheses concerning the explanatory variable, using the corresponding sequence of values of the response variable and the same set of calibration data. This is the situation of multiple use of the calibration data. The tests derived in this context are characterized by two types of uncertainties: one uncertainty associated with the sequence of values of the response variable, and a second uncertainty associated with the calibration data. We derive tests based on a condition that incorporates both of these uncertainties. The solution has practical applications in the decision limit problem. We illustrate our results using an example dealing with the estimation of blood alcohol concentration based on breath estimates of the alcohol concentration. In the example, the problem is to test if the unknown blood alcohol concentration of an individual exceeds a threshold that is safe for driving
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