UTERINE ARTERIOVENOUS MALFORMATION TRANSVAGINAL DOPPLER ULTRASONOGRAPHY: CASE REPORT

Uterine arteriovenous malformation (AVM) is a rare condition, with fewer than 100 cases reported in the literature. Despite it being rare, it is a potentially life-threatening condition. This case report describes a healthy 29-year-old patient, nulligravida, with an unremarkable medical history, came from gynaecologist for ultrasaound due to complain of irregular heavy PV bleeding. Transvaginal Doppler ultrasonography is a widely available, noninvasive and excellent diagnostic method. Transvaginal ultrasound (TVS) of the pelvis showed increased vascularity with multidirectional flow of the uterus and a prominent vessel, located on the posterior wall.KEYWORDS: Arteriovenous malformation; Primary infertility; Transvaginal ultrasound

UTERINE ARTERIOVENOUS MALFORMATION TRANSVAGINAL DOPPLER ULTRASONOGRAPHY: CASE REPORT

Uterine arteriovenous malformation (AVM) is a rare condition, with fewer than 100 cases reported in the literature. Despite it being rare, it is a potentially life-threatening condition. This case report describes a healthy 29-year-old patient, nulligravida, with an unremarkable medical history, came from gynaecologist for ultrasaound due to complain of irregular heavy PV bleeding. Transvaginal Doppler ultrasonography is a widely available, noninvasive and excellent diagnostic method. Transvaginal ultrasound (TVS) of the pelvis showed increased vascularity with multidirectional flow of the uterus and a prominent vessel, located on the posterior wall.KEYWORDS: Arteriovenous malformation; Primary infertility; Transvaginal ultrasound

Clinical and bacteriological correlates of whole blood interferon gamma (IFN-γ) in newly detected cases of pulmonary TB

AbstractObjectiveTo determine the relationship of the capacity to produce interferon gamma (IFN-γ) in whole blood, bacteriological, hematological, radiographic and clinical presentations in new, HIV seronegative cases of pulmonary tuberculosis (TB).Methods80 cases and 50 control subjects aged 15 years onwards, representative of Kasturba Hospital and Nursing schools of Wardha district of Maharashtra state in India were examined for their health condition with standard methodology.ResultsAmong these TB patients, 73.8% were Quantiferon-TB gold (QFT) positive with IFN-γ concentration as 0.35 IU or more and there was none in healthy controls. The mean IFN-γ concentrations varied between 9.58 IU (50-59 yrs) and 2.58 IU (⩾60 yrs), showing no trend. The differences in positivity and mean IFN-γconcentrations were statistically insignificant. Both the QFT positivity and IFN-γconcentrations were higher in normal lymphocyte percent as compared to below and above normal, but differences were not statistically significant.ConclusionsThe IFN-γconcentrations are not correlated with any of the predictors of disease severity studied, the levels are significantly higher in observation group as compared to healthy group

Pattern of Adolescent Growth Among the Brahmin Girls – Rural-Urban Variation

A cross-sectional study of adolescent growth was undertaken among the Brahmin girls residing in rural and urban areas of Sagar districts, Madhya Pradesh to evaluate the urban-rural differences. Six anthropometric measurements, such as weight, stature, sitting height, head circumference, upper arm circumference and chest girth are taken into consideration. Though the urban girls show consistently higher values of weight, stature, sitting height and chest girth than the rural girls, but in case of head circumference and upper arm circumference they show consistently lower values. The maximum increment occurs between the ages 13 and 14 years in all the six measurements in both rural and urban girls

Comparative Study of Various Treatments For Dairy Industry Wastewater

Abstract: -Dairy industries have shown tremendous growth in size and number in most countries of the world. These industries discharge wastewater which is characterized by high chemical oxygen demand, biological oxygen demand, nutrients, and organic and inorganic contents. Such wastewaters, if discharged without proper treatment, severely pollute receiving water bodies. In this article, the various recent advancements in the treatment of dairy wastewater have been discussed and stress is given on the lowest cost of the best possible treatment

Agricultural Productivity, Rural Poverty and Nutritional Security: A Micro Evidence of Inter-Linkages from Karnataka State

The inter-linkages amongst agricultural productivity, rural poverty and nutritional security have been analysed based on a study of Bagalkot district of Karnataka state using primary data for the agricultural year 2005-06 obtained from 120 farm households. The data have been processed using ratios, frequencies, percentages, regression analysis and probit model. Agricultural productivity has negatively and significantly influenced rural poverty at the farm level. Low agricultural productivity is the root cause of rural poverty. Household size and number of dependents therein have positively influenced rural poverty. Optimization of household size or increase in the number of earning members of the household would reduce poverty. Nutritional security is greatly influenced by the level of rural poverty. To upgrade the nutritional status of households, the study has suggested that effective poverty alleviation programmes aimed at enhancing agricultural productivity through transfer of productive assets instead of consumer goods to the poor, should be launched and effectively monitored. Agricultural credit being an important aspect of productivity, appropriate steps should be taken to increase the access of rural households to financial institutions

Macroscopic solvation of molecules in excited states: an MCSCF model including solvent polarization effects-I

An MCSCF model including the effects of solvent polarization is developed. The model is applied within the limitations of INDO approximations to look into the dominant effects of solvent polarization on the electronic structure in the excited states of a model system (e.g.nπ∗ states of H2CO). Important features of macroscopic solvation-induced reorganization of electron density and some consequence thereof are noted

Generalized h-index for Disclosing Latent Facts in Citation Networks

What is the value of a scientist and its impact upon the scientific thinking? How can we measure the prestige of a journal or of a conference? The evaluation of the scientific work of a scientist and the estimation of the quality of a journal or conference has long attracted significant interest, due to the benefits from obtaining an unbiased and fair criterion. Although it appears to be simple, defining a quality metric is not an easy task. To overcome the disadvantages of the present metrics used for ranking scientists and journals, J.E. Hirsch proposed a pioneering metric, the now famous h-index. In this article, we demonstrate several inefficiencies of this index and develop a pair of generalizations and effective variants of it to deal with scientist ranking and with publication forum ranking. The new citation indices are able to disclose trendsetters in scientific research, as well as researchers that constantly shape their field with their influential work, no matter how old they are. We exhibit the effectiveness and the benefits of the new indices to unfold the full potential of the h-index, with extensive experimental results obtained from DBLP, a widely known on-line digital library.Comment: 19 pages, 17 tables, 27 figure

Socioeconomic Inequalities in Childhood Undernutrition in India: Analyzing Trends between 1992 and 2005

India experienced a rapid economic boom between 1991 and 2007. However, this economic growth has not translated into improved nutritional status among young Indian children. Additionally, no study has assessed the trends in social disparities in childhood undernutrition in the Indian context. We examined the trends in social disparities in underweight and stunting among Indian children aged less than three years using nationally representative data.We analyzed data from the three cross-sectional rounds of National Family Health Survey of India from 1992, 1998 and 2005. The social factors of interest were: household wealth, maternal education, caste, and urban residence. Using multilevel modeling to account for the nested structure and clustering of data, we fit multivariable logistic regression models to quantify the association between the social factors and the binary outcome variables. The final models additionally included age, gender, birth order of child, religion, and age of mother. We analyzed the trend by testing for interaction of the social factor and survey year in a dataset pooled from all three surveys.While the overall prevalence rates of undernutrition among Indian children less than three decreased over the 1992-2005 period, social disparities in undernutrition over these 14 years either widened or stayed the same. The absolute rates of undernutrition decreased for everyone regardless of their social status. The disparities by household wealth were greater than the disparities by maternal education. There were no disparities in undernutrition by caste, gender or rural residence.There was a steady decrease in the rates of stunting in the 1992-2005 period, while the decline in underweight was greater between 1992 and 1998 than between 1998 and 2005. Social disparities in childhood undernutrition in India either widened or stayed the same during a time of major economic growth. While the advantages of economic growth might be reaching everyone, children from better-off households, with better educated mothers appear to have benefited to a greater extent than less privileged children. The high rates of undernutrition (even among the socially advantaged groups) and the persistent social disparities need to be addressed in an urgent and comprehensive manner

Multivariate statistical process control based on principal component analysis: implementation of framework in R

The interest in multivariate statistical process control (MSPC) has increased as the industrial processes have become more complex. This paper presents an industrial process involving a plastic part in which, due to the number of correlated variables, the inversion of the covariance matrix becomes impossible, and the classical MSPC cannot be used to identify physical aspects that explain the causes of variation or to increase the knowledge about the process behaviour. In order to solve this problem, a Multivariate Statistical Process Control based on Principal Component Analysis (MSPC-PCA) approach was used and an R code was developed to implement it according some commercial software used for this purpose, namely the ProMV (c) 2016 from ProSensus, Inc. (www.prosensus.ca). Based on used dataset, it was possible to illustrate the principles of MSPC-PCA. This work intends to illustrate the implementation of MSPC-PCA in R step by step, to help the user community of R to be able to perform it.FCT - Fundação para a Ciência e a Tecnologia(UID/CEC/00319/2013