Cost-effectiveness Study of Antihypertensive Drugs in Mumbai, India

Hypertension is a serious global public health problem. It accounts for 10% of all deaths in India and is the leading noncommunicable disease.1 Recent studies have shown that the prevalence of hypertension is 25% in urban and 10% in rural people in India.2 It exerts a substantial public health burden on cardiovascular health status and health care systems in India.3 Antihypertensive treatment effectively reduces hypertension-related morbidity and mortality.1 The cost of medications has always been a barrier to effective treatment

Tough Tables: Carefully Evaluating Entity Linking for Tabular Data

Table annotation is a key task to improve querying the Web and support the Knowledge Graph population from legacy sources (tables). Last year, the SemTab challenge was introduced to unify different efforts to evaluate table annotation algorithms by providing a common interface and several general-purpose datasets as a ground truth. The SemTab dataset is useful to have a general understanding of how these algorithms work, and the organizers of the challenge included some artificial noise to the data to make the annotation trickier. However, it is hard to analyze specific aspects in an automatic way. For example, the ambiguity of names at the entity-level can largely affect the quality of the annotation. In this paper, we propose a novel dataset to complement the datasets proposed by SemTab. The dataset consists of a set of high-quality manually-curated tables with non-obviously linkable cells, i.e., where values are ambiguous names, typos, and misspelled entity names not appearing in the current version of the SemTab dataset. These challenges are particularly relevant for the ingestion of structured legacy sources into existing knowledge graphs. Evaluations run on this dataset show that ambiguity is a key problem for entity linking algorithms and encourage a promising direction for future work in the field

SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems

Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. This task is a challenging problem for various reasons, including the lack of metadata (e.g., table and column names), the noisiness, heterogeneity, incompleteness and ambiguity in the data. The results of this task provide significant insights about potentially highly valuable tabular data, as recent works have shown, enabling a new family of data analytics and data science applications. Despite significant amount of work on various flavors of this problem, there is a lack of a common framework to conduct a systematic evaluation of state-of-the-art systems. The creation of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab) aims at filling this gap. In this paper, we report about the datasets, infrastructure and lessons learned from the first edition of the SemTab challenge

Occurrence of coexisting dendrite morphologies: immiscible fluid displacement in an anisotropic radial hele-shaw cell under a high flow rate regime

Viscous fingering morphologies during the displacement of a high viscosity fluid by a low viscosity immiscible fluid in a radial fourfold anisotropic Hele-Shaw cell are examined. By using the kerosene-glycerin system for which the µ/T ratio (µ being the relative viscosity and T the interfacial tension between the fluids) is about ten times higher than that for the commonly used air-glycerin system, we have been able to access the hitherto unexplored Nca 1 regime (capillary number Nca=Uµ/T, U being the advancing fingertip velocity). Within the anisotropy-dominated regime, and when flow rates are significantly high (capillary number well beyond Nca=1), a new phase is seen to evolve wherein the dendrites grow simultaneously along the channels and along the directions making an angle of 45° with the channels, both being kinetically driven. This new phase resembles the one observed in a miscible fluid system at all flow rates of the displacing fluid

Procalcitonin as a marker for the diagnosis of sepsis

Background: Quick diagnosis of sepsis in intensive care unit patients is challenging for physicians.Methods: The prospective study was conducted at our hospital. We studied the efficacy of procalcitonin as a marker of sepsis in 87 adults admitted to our intensive care unit with symptoms of systemic infection. The study samples included all patients aged above 18 years with acute sepsis. Statistical analyses were done using SPSS. PCT and various other relevant factors were measured in all study subjects. PCT levels of less than 0.1 ng/ml were considered negative; all other levels were considered positive.Results: PCT proved to be an excellent indicator of sepsis. Serum PCT levels predicts mortality in the present study.Conclusions: PCT is among the most promising sepsis markers capable of completing clinical signs and routine lab parameters suggestive of severe infection

Viscous fingering of miscible fluids in an anisotropic radial hele-shaw cell: coexistence of kinetic and surface-tension dendrite morphology types and an exploration of small-scale influences

The evolution of viscous fingering morphology is examined for the case of a system of miscible fluids in an anisotropic radial Hele-Shaw cell. It is shown that dendritic morphologies similar to the kinetic and surface-tension morphology types coexist for this case. The critical role of the means of introducing anisotropy in the Hele-Shaw cell is established, and an explanation of the pattern behavior is offered on the basis of shape discontinuities of the individual elements of the lattice used to induce anisotropy. The ramifications of such an explanation are experimentally verified by demonstrating a clear difference in the morphology evolution in two halves of a single Hele-Shaw cell, one half of which contains square lattice elements, and the other half of which contains circular lattice elements

A comparative study of efficacy of argyreia speciosa and orlistat for their anti-obesity action in high fat diet induced obese rats

Background: To compare the anti-obesity action of Argyreia speciosa root extract with standard anti-obesity drug orlistat. Healthy Sprague-Dawley rats (100-200g, n=50) were obtained from the animal house. Dose of Orlistat was 32.4mg/kg/day and Dose of Argyreia speciosa root was 500mg/kg/day.Methods: Food induced obesity model was used. Following parameters were evaluated: Total Cholesterol (mg/dl), Triglyceride (mg/dl), HDL-cholesterol (mg/dl), LDL cholesterol (mg/dl), atherogenic index, serum lipase (U/L). Analysis was done by one way ANOVA followed by post-hoc test and Graph Pad Prism version 5.00 was used for the analysis.Results: Total cholesterol, triglcerides, LDL cholesterol and Atherogenic index was significantly lesser in the rats fed with CD+O group and CD+ASE group than in the animals from CD group (p<0.05). It was also significantly lesser in the rats fed with CD+O+ASE than in the animals from CD group (p<0.05). HDL cholesterol was significantly greater in the rats fed with CD+O group and CD+ASE group than in the animals from CD group (p<0.05). It was also significantly greater in the rats fed with CD+O+ASE than in the animals from CD group (p<0.05).Conclusions: ASE significantly reduces total cholesterol (mg/dl), triglyceride (mg/dl), LDL cholesterol (mg/dl) and atherogenic index, it significantly increases HDL- cholesterol (mg/dl) and it is comparable to orlistat. Thus the anti-obesity action of ASE is comparable to orlistat