An evaluation of knowledge, attitude and perception about adverse drug reactions and pharmacovigilance among intern doctors in a medical college teaching hospital of Sangli

Background: Underreporting of various adverse drug reactions (ADRs) by consultants is a common incurable problem. National pharmacovigilance program is one of the ongoing programs to monitor the adverse drug reactions & reporting at the earliest to the nearby AMCs. As medical interns are budding doctors, the focus of this study was to evaluate the knowledge, attitude and perception about ADRs and pharmacovigilance in them.Methods: A cross section questionnaire-based study was conducted after approval by our institutional ethics committee pretested and validated questions consisting of 20 questions (knowledge, attitude, perception) were administrated to medical interns. The filled questionnaires were collected and analysed.Results: In our study, medical interns have fair enough idea about ADR and pharmacovigilance. In knowledge domain they were aware of term ADRs (100%), pharmacovigilance (72.6%). In attitude domain majority of interns (80.6%) known availability of ADR forms, compulsory of pharmacovigilance unit (90.3%). In perception domain very poor response from interns, not even a single intern had reported any ADR filled form and they don’t know meaning of re-challenge and de-challenge, very few interns (9.7%) know how to manage the ADRs in emergency conditions.Conclusions: Under reporting problem can be improved by doing more teaching activities at undergraduate level and intern’s level including various workshops, CMEs, problem-based teaching of adverse reactions in their curriculum. These exercises will improve their reporting frequency and sensitize the interns from the undergraduate days itself in their upcoming clinical practice in community

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

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

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

Variation in viscous fingering pattern morphology due to surfactant-mediated interfacial recognition events

The study of the formation of finger-like patterns during displacement of a viscous fluid by a less viscous one is of technological importance. The morphology of the viscous-finger patterns generated is a function of many parameters such as the flow rate, difference in viscosities of the two fluids and the interfacial tension. We demonstrate herein that the morphology of patterns formed during viscous fingering in a Hele-Shaw cell during displacement of paraffin oil by aqueous solutions of the surfactant sodium dodecyl sulphate (SDS), is extremely sensitive to interfacial tension variation brought about by complexation of divalent cations with the surfactant SDS. The variation in morphology of the patterns formed has been quantified by measuring the fractal dimensions of structures formed in a radial Hele-Shaw cell as well as the average finger width in a linear Hele-Shaw cell. This technique shows promise for studying other interfacial phenomena in chemistry such as biorecognition as well as dynamic processes occurring at interfaces

Memory Centric Characterization and Analysis of SPEC CPU2017 Suite

In this paper we provide a comprehensive, memory-centric characterization of the SPEC CPU2017 benchmark suite, using a number of mechanisms including dynamic binary instrumentation, measurements on native hardware using hardware performance counters and OS based tools. We present a number of results including working set sizes, memory capacity consumption and, memory bandwidth utilization of various workloads. Our experiments reveal that the SPEC CPU2017 workloads are surprisingly memory intensive, with approximately 50% of all dynamic instructions being memory intensive ones. We also show that there is a large variation in the memory footprint and bandwidth utilization profiles of the entire suite, with some benchmarks using as much as 16 GB of main memory and up to 2.3 GB/s of memory bandwidth. We also perform instruction execution and distribution analysis of the suite and find that the average instruction count for SPEC CPU2017 workloads is an order of magnitude higher than SPEC CPU2006 ones. In addition, we also find that FP benchmarks of the SPEC 2017 suite have higher compute requirements: on average, FP workloads execute three times the number of compute operations as compared to INT workloads.Comment: 12 pages, 133 figures, A short version of this work has been published at "Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering