A Visualization Analysis of Hotspots And Frontiers of Cardiovascular Diseases With Frailty Based On CiteSpace

Cardiovascular diseases(CVD) and frailty are common health problems among the elderly. This research aims to investigate the hotspots and frontiers of the field of cardiovascular diseases with frailty. Data of publications between 2000 and 2021 was collected from the Web of Science(WoS) and CiteSpace was used for analysing the hotspots and frontiers of cardiovascular diseases with frailty research from high-impact countries, institutions, authors, cited-references, cited-journals, high-frequency keywords and burst keywords. The results showed that the United States, England and Canada were the leading countries in research of cardiovascular diseases with frailty. Other countries and regions lagged behind these developed countries. There is a need to establish cooperation between developed countries and developing countries. Research hotspots focused on frailty in the elderly with CVD, exercise intervention, assessment for CVD patients with frailty, quality of life and common diseases related to CVD with frailty. The frontier fields include care and intervention of CVD patients with frailty, social frailty and validation of CVD with frailty.

CoxBase: an Online Platform for Epidemiological Surveillance, Visualization, Analysis, and Typing of Coxiella burnetii Genomic Sequences

Q fever is a zoonotic disease that is a source of active epidemiological concern due to its persistent threat to public health. In this project, we have identified areas in the field of Coxiella research, especially regarding public health and genomic analysis, where there is an inadequacy of resources to monitor, organize, and analyze genomic data from C. burnetii .

Gridlines approach for dynamic analysis in speech ultrasound data: A multimodal app

Having access to efficient technologies is essential for the accurate description and analysis of articulatory speech patterns. In the area of tongue ultrasound studies, the visualization/analysis processes generally require a solid knowledge of programming languages as well as a deep understanding of articulatory phenomena. This demands the use of a variety of programs for an efficient use of the data collected. In this paper we introduce a multimodal app for visualizing and analyzing tongue contours: UVA—Ultrasound Visualization and Analysis. This app combines the computational power of R and the interactivity of Shiny web apps to allow users to manipulate and explore tongue ultrasound data using cutting-edge methods. One of the greatest strengths of the app is that it has the capability of being modified to adapt to users’ needs. This has potential as an innovative tool for diverse academic and industry audiences.

Real-time monitoring of the prototype design of electric system by the ubidots platform

<span>In this paper, a prototype DC electric system was practically designed. The idea of the proposed system was derived from the microgrid concept. The system contained two houses each have a DC generator and load that consists of four 12 V DC lamps. Each house is controlled fully by Arduino UNO microcontroller to work in Island mode or connected it with the second house or main electric network. House operating mode depends on the power generated by its source and the availability of the main network. Under all operating cases, the minimum price of electricity consumption should satisfy as possible. Information between the houses about the operating mode and the main network state was exchanging wirelessly with the help of the RF-HC12. This information uploaded to the Ubidots platform by the Wi-Fi-ESP8266 included in the node MCU microcontroller. This platform has several advantages such as capture, visualization, analysis, and management of data. The system was examined for different cases to verify its working by varying the load in each building. All tested states showed that the houses transfer from one mode to another automatically with high reliability and minimum energy cost. The information about the main grid states and the sources of the houses were monitored and stored at the Ubidots platform.</span>

A web application for visualization, analysis, and processing of agricultural monitoring spatial-temporal data

The paper discusses some features of the client and server implementation of a web application for visualization, analysis, and processing of spatial-temporal data using the react JavaScript library and the organization of a software infrastructure for convenient development using the Redux library. Architectural solutions for building the system are presented. Further development plans are described.