Assessment of Aspect Based Multidimensional Poverty in Urban Haryana

Purely monetary approach to poverty measurement does not provide a true picture of deprivations or wellbeingness of households. Aspects based poverty measurement using multiple dimensions of deprivation gives a more complete picture of poverty. In this investigation, the Multidimensional Poverty Index (MPI) has been used to study deprivations experienced in multiple dimensions of drinking water, sanitation and housing facilities in urban Haryana. For estimation of the poverty across the urban areas of Haryana, household level secondary data from 69th round of NSSO survey on selected indicators of drinking water, sanitation and housing facilities have been used. Based on MPI estimates the urban households in the district of Mewat have been found to be most deprived in reference to drinking water, sanitation and housing facilities in urban Haryana followed by Fatehabad, Rohtak, Mahendragarh, Jhajjar and Ambala

Report of a New Mammalian Tapeworm Moniezia govindae

The present communication deals with the report of a new mammalian tapeworm Moniezia (B) govindae n.sp. from Capra hircus (L) from Gangapur Dist. Aurangabad (M.S.). It comes closer to all the known species of the genus Moniezia [2] but differs from some characters like globular scolex, long neck, mature proglottids broder than long, testes 100-140 in numbers, cirrus pouch oval in shape. Ovary nut shaped, vagina posterior to cirrus pouch and vitelline gland post ovarian

Recent advances in functional neuroimaging analysis for cognitive neuroscience

Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the rich spatial and temporal data they provide are constantly evolving, and these new methods in turn allow new scientific questions to be asked about the brain. In this brief review, we highlight a handful of recent analysis developments that promise to further advance our knowledge about the working of the brain. These include (1) multivariate approaches to decoding the content of brain activity, (2) time-varying approaches to characterising states of brain connectivity, (3) neurobiological modelling of neuroimaging data, and (4) standardisation and big data initiatives.Peer reviewe

Histopathological Observation of the Intestine of Capra hircus (L.) Infected with Cotylophoron cotylophorum (Stiles et Goldberger, 1910)

The present investigation deals with the histopathological observation of the intestine of Capra hircus (L.) infected with the trematode parasites Cotylophoron cotylophorum [11] is having muscular sucker which is used for attachment to the intestine of host Capra hircus (L.). In T.S. of intestine of Capra hircus (L.), it has been observed that the Cotylophoron cotylophorum attached to the different layers of intestine and slowly damaged the hosts intestinal tissue and it destroys the intestinal epithelium of villi showing trematodes are highly destructing the intestine of Capra hircus (L.)

A domain adaptive stochastic collocation approach for analysis of MEMS under uncertainties

This work proposes a domain adaptive stochastic collocation approach for uncertainty quantification, suitable for effective handling of discontinuities or sharp variations in the random domain. The basic idea of the proposed methodology is to adaptively decompose the random domain into subdomains. Within each subdomain, a sparse grid interpolant is constructed using the classical Smolyak construction [S. Smolyak, Quadrature and interpo- lation formulas for tensor products of certain classes of functions, Soviet Math. Dokl. 4 (1963) 240–243], to approximate the stochastic solution locally. The adaptive strategy is governed by the hierarchical surpluses, which are computed as part of the interpolation procedure. These hierarchical surpluses then serve as an error indicator for each subdo- main, and lead to subdivision whenever it becomes greater than a threshold value. The hierarchical surpluses also provide information about the more important dimensions, and accordingly the random elements can be split along those dimensions. The proposed adaptive approach is employed to quantify the effect of uncertainty in input parameters on the performance of micro-electromechanical systems (MEMS). Specifically, we study the effect of uncertain material properties and geometrical parameters on the pull-in behavior and actuation properties of a MEMS switch. Using the adaptive approach, we resolve the pull-in instability in MEMS switches. The results from the proposed approach are verified using Monte Carlo simulations and it is demonstrated that it computes the required statistics effectively

TGFβ1 orchestrates renal fibrosis following Escherichia coli pyelonephritis

Renal scarring after pyelonephritis is linked to long-term health risks for hypertension and chronic kidney disease. Androgen exposure increases susceptibility to, and severity of, uropathogenic Escherichia coli (UPEC) pyelonephritis and resultant scarring in both male and female mice, while anti-androgen therapy is protective against severe urinary tract infection (UTI) in these models. This work employed androgenized female C57BL/6 mice to elucidate the molecular mechanisms of post-infectious renal fibrosis and to determine how these pathways are altered by the presence of androgens. We found that elevated circulating testosterone levels primed the kidney for fibrosis by increasing local production of TGFβ1 before the initiation of UTI, altering the ratio of transcription factors Smad2 and Smad3 and increasing the presence of mesenchymal stem cell (MSC)-like cells and Gli1 + activated myofibroblasts, the cells primarily responsible for deposition of scar components. Increased production of TGFβ1 and aberrations in Smad2:Smad3 were maintained throughout the course of infection in the presence of androgen, correlating with renal scarring that was not observed in non-androgenized female mice. Pharmacologic inhibition of TGFβ1 signaling blunted myofibroblast activation. We conclude that renal fibrosis after pyelonephritis is exacerbated by the presence of androgens and involves activation of the TGFβ1 signaling cascade, leading to increases in cortical populations of MSC-like cells and the Gli1 + activated myofibroblasts that are responsible for scarring