Analysis and Design of Visualization of Educational Institution database using Power BI Tool

Visualization of data set is a process of making understand the significance of data through visual context and part of data analytics where it2019;s executed after the data correction. Nowadays visualization is more useful in business intelligence and Analytics in every field, There are different techniques for visualizing the datasets, it may be in dynamic or interactive nature, and datasets can be visualized in different types of visuals insights, This paper deals with the interactive visualization of educational institution database using Microsoft Power BI Tool with different modules and this paper focuses on process model, operations of Microsoft Power BI, types of data sources available in Tool and its different related types of visual insights or context

Potential of Big Data Analytics in Bio-medical and Health Care Arena: An Exploratory Study

With the leveraging emerging big Data in every industry Big Data can amalgamate all data related to patient to get a complete view of patient to analyze and predict the outcomes Using big data analytics as tools It can enhance development in new drugs health care financing process and clinical approaches and extends a lots of benefits such as better health care quality and efficiency fraud detection and early disease detection by means of analytics of big data This paper provides a general survey of current progress and advances in research arena of big data bio-medical and health care and some major challenges of big data concept and characteristics this concerns includes big data from bio-medical and health care arena benefits of big data its applications and opportunities Methods and technology progress about big data in bio-medical and health care and challenges of big data in both bio-medical and healthcare are also discusse

Autopsy findings in deaths following severe acute respiratory syndrome coronavirus 2 vaccination

Background: Vaccination has emerged as an effective tool to prevent severe acute respiratory syndrome coronavirus 2 disease (COVID-19). Concerns regarding adverse effects of vaccine are one of the reasons for vaccine hesitancy. One way of addressing the concerns is by studying post-vaccination deaths. This article presents the autopsy findings of the six individuals who died within 6 weeks post-COVID-19 vaccinations. Methods: This was a retrospective study of autopsies done between January and June 2021 in recipients of COVID-19 vaccination. All the organs were preserved. After adequate fixation, the organs were grossed and sections were taken. Results: A total of 6 patients who died after receiving COVID-19 vaccine were autopsied during the study period. All six cases had received Covishield® vaccine. All the individuals were aged between 40 and 60 years, with four males and two females. The duration between vaccination and death ranged from 24 h to 11 days. Three cases had pathology in the kidney, two cases showed pathology in the heart and one case showed pulmonary oedema in both lungs. Conclusions: This article throws light on post-mortem findings of deaths associated with COVID-19 vaccination

Pharos:Collating protein information to shed light on the druggable genome

The ‘druggable genome’ encompasses several protein families, but only a subset of targets within them have attracted significant research attention and thus have information about them publicly available. The Illuminating the Druggable Genome (IDG) program was initiated in 2014, has the goal of developing experimental techniques and a Knowledge Management Center (KMC) that would collect and organize information about protein targets from four families, representing the most common druggable targets with an emphasis on understudied proteins. Here, we describe two resources developed by the KMC: the Target Central Resource Database (TCRD) which collates many heterogeneous gene/protein datasets and Pharos (https://pharos.nih.gov), a multimodal web interface that presents the data from TCRD. We briefly describe the types and sources of data considered by the KMC and then highlight features of the Pharos interface designed to enable intuitive access to the IDG knowledgebase. The aim of Pharos is to encourage ‘serendipitous browsing’, whereby related, relevant information is made easily discoverable. We conclude by describing two use cases that highlight the utility of Pharos and TCRD