A Web-Based Transformation System for Massive Scientific Data

2006 ◽  
pp. 104-114 ◽  
Author(s):  
Shi Feng ◽  
Jie Song ◽  
Xuhui Bai ◽  
Daling Wang ◽  
Ge Yu
Keyword(s):  
Scientific Data ◽  
Transformation System ◽  
Web Based

DIAL: A Web-Based Interoperable Scientific Data Distribution System

1999 ◽  
pp. 301-312 ◽  
Author(s):  
Liping Di ◽  
R. Suresh ◽  
K. Doan ◽  
Doug Ilg ◽  
Ken McDonald
Keyword(s):  
Distribution System ◽  
Data Distribution ◽  
Scientific Data ◽  
Web Based

scholarly journals Idea Management Systems as a Tool for Goals’ Setting & Achieving and Decision Making: Global Research Results

2021 ◽  
Vol 129 ◽  
pp. 05008
Author(s):  
Elina Mikelsone ◽  
Tatjana Volkova ◽  
Aivars Spilbergs ◽  
Elita Liela
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Idea Generation ◽  
Value Added ◽  
Scientific Data ◽  
Web Based ◽  
Ongoing Research ◽  
Research Results ◽  
Idea Management

Research background: the authors have explored that there are different idea management system (IMS) application types that could be used both locally and globally for diverse reasons and expected outcomes. There is ongoing research on how IMS could be applied for manageable idea management process. But there is a question – how do these IMS types help to set and achieve goals, and improve decision making? Purpose of the article: The article aims to clarify how an external and mixed web-based IMS could be used during COVID19 time for distance idea generation sessions, as well as, to solve complex issues such as decision making, goals’ setting and reaching them based on different idea generation sources and critical reflection on those ideas of evaluators. Methods: Literature review (data collection: systematic data collection from scientific data bases; data analysis: content analysis). The survey of n>400 enterprises with web-based IMS experience globally (data collection: a survey; data analysis: statistics). Findings & Value added: this paper explores how different types of web-based IMS could be applied as a tool and support system for decision making processes in general, decisions towards goal setting and its outreach. The research results provide also a practical contribution - it could help to choose the most appropriate IMS application type to reach estimated goals and to empower decision making.

scholarly journals Data Browser Matsch | Mazia: Web Application to access microclimatic time series of an ecological research site

2021 ◽  
Vol 7 ◽  
Author(s):  
Martin Palma ◽  
Alessandro Zandonai ◽  
Luca Cattani ◽  
Johannes Klotz ◽  
Giulio Genova ◽  
...  
Keyword(s):  
Time Series ◽  
Web Application ◽  
Scientific Data ◽  
Time Range ◽  
Ecological Research ◽  
Data Accessibility ◽  
Web Based ◽  
South Tyrol ◽  
Research Site ◽  
User Friendly

Easily accessible data is an essential requirement for scientific data analysis. The Data Browser Matsch | Mazia was designed to provide a fast and comprehensible solution to access, visualize and download the microclimatic measurements of the IT 25 LT(S)ER Match | Mazia research site in South Tyrol, Northern Italy, with the overall aim to provide straightforward data accessibility and enhance dissemination. Data Browser Matsch | Mazia is a user-friendly web-based application to visualize and download micrometeorological and biophysical time series of the Long-Term Socio-Ecological Research site Matsch | Mazia in South Tyrol, Italy. It is designed both for the general public and researchers. The Data Browser Matsch | Mazia drop-down menus allow the user to query the InfluxDB database in the backend by selecting the measurements, time range, land use and elevation. Interactive Grafana dashboards show dynamic graphs of the time series.

Hospital-acquired infections in ageing Vietnamese population: current situation and solution

MedPharmRes ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 1-10
Author(s):  
Nguyen Thi Thu Hoai ◽  
Nguyen Ngoc Thuy Giang ◽  
Huynh Van An
Keyword(s):  
Fungal Infections ◽  
Scientific Data ◽  
Current Status ◽  
Parasitic Infections ◽  
Limited Information ◽  
Web Based ◽  
Hospital Acquired Infection ◽  
Vietnamese Population ◽  
Tract Infections ◽  
Hospital Acquired

Hospital-acquired infection (HAI) is a growing problem all around the world particularly for countries with aging and high-density population such as Vietnam. In this review, we summarized the current status of HAIs in Vietnam regarding types of infection, rates of infection, hospital-stay duration and cost of treatment, and provided an overview with suggestions on strategies in combating these infections especially in Vietnamese settings. From quite dispersed and varied data reported in English and Vietnamese, we have seen HAI rates of less than 10%. Over the years, the HAIs in Vietnam remained quite stable and even slightly decreased in recent years. Among all HAIs, respiratory tract infections are the most common, occurring in up to 80% of cases. Most Vietnamese statistical data on the etiology of HAIs focused on bacterial HAIs, mostly Candidiasis, whereas limited information was found on fungal infections, nosocomial viral and other parasitic infections. The most important HAI causative pathogens in Vietnamese hospitals include Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae, Staphylococcus aureus and Candida species. There is absolutely few scientific data, but web-based information on HAIs treatment cost and measures to control the infections were found. Works are reported to be implemented to control HAIs in Vietnam at both national and hospital level. However, further improvement in controlling HAIs in Vietnam should be considered.

scholarly journals Sistem Pakar dalam Menganalisis Gangguan Jiwa Menggunakan Metode Certainty Factor

2021 ◽  
pp. 227-232
Author(s):  
Rafi Septiawan Putra ◽  
Y Yuhandri
Keyword(s):  
Expert System ◽  
Mental Disorders ◽  
Scientific Data ◽  
Problem Solver ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Certainty Level ◽  
And Behavior ◽  
Attitudes And Behavior

People with Mental Disorders (ODGJ) as a trigger for people who suffer from disorders of thought, feeling and behavior cause changes in attitudes and behavior that hinder normal human functioning. Mental disorders as a syndrome characterized by a change in a person's behavior that will be associated with symptoms such as difficulties or disorders, as well as psychological functions and behavior that are not confident in dealing with people but can also be with that person. An expert system is an intelligent computer technology that is based on solving problems using inferential knowledge and procedures. As a problem solver, expert systems will also find it easier to make decisions or policies like humans do. This study aims to produce an expert system that is used to analyze mental disorders who can make similar decisions, as well as psychiatric specialists. The data processed in this study is scientific data on mental disorders ranging from types of mental illness, early symptoms of disease and patient diagnosis data by mental health specialists, then the data is processed using the Certainty Factor method and displayed in the form of a web-based application using the PHP programming language. and MySQL databases. The results obtained from testing the expert system using the Certainty Factor method show that there is a match between the results of an expert diagnosis of depression with a certainty level of 73%. An expert system for analyzing mental disorders using the Certainty Factor method can make it easier for sufferers to understand the type of mental disorder they are experiencing.

scholarly journals Decentralized provenance-aware publishing with nanopublications

2016 ◽  
Vol 2 ◽  
pp. e78 ◽  
Author(s):  
Tobias Kuhn ◽  
Christine Chichester ◽  
Michael Krauthammer ◽  
Núria Queralt-Rosinach ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Semantic Web ◽  
Digital Age ◽  
Scientific Data ◽  
Data Publishing ◽  
Top Down ◽  
Web Based ◽  
Level Data ◽  
Scientific Datasets ◽  
Scientific Results ◽  
Archive Data

Publication and archival of scientific results is still commonly considered the responsability of classical publishing companies. Classical forms of publishing, however, which center around printed narrative articles, no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. In this article, we propose to design scientific data publishing as a web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used as a low-level data publication layer to serve the Semantic Web in general. Our evaluation of the current network shows that this system is efficient and reliable.

scholarly journals The application of External and Mixed Idea Management Systems during COVID19 time

2021 ◽  
Vol 92 ◽  
pp. 01032
Author(s):  
Elina Mikelsone ◽  
Tatjana Volkova ◽  
Aivars Spilbergs ◽  
Elita Liela
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Management System ◽  
Idea Generation ◽  
Value Added ◽  
Scientific Data ◽  
Management Systems ◽  
Web Based ◽  
Idea Management

Research background: Authors have explored that there are different idea management system application types that could be used both locally and globally. But there is the question – how organizations can benefit from these systems during COVID19? Purpose of the article: The article aims to clarify how external and mixed web-based idea management systems could be used during COVID19 time for distance idea generation sessions, as well to solve complex problems with different idea generation sources and evaluators Methods: Literature review (data collection: systematically data collection from scientific data bases; data analysis: content analysis). Survey of n>400 enterprises with web-based IMS experience (data collection: survey; data analysis: statistics). Case studies (data collection: web-based idea management system creator secondary data; data analysis: content analysis). Findings & Value added: External and mixed web-based idea management systems are great tools during COVID19 time for distance idea generation sessions as well to solve serious problems with different idea generation sources and evaluators. These tools could be used by private, public organizations, as well by higher education institutions and research institutions as an innovation actor under the Triple Helix Model. By involving all these organizations in the idea management process the innovation potential is increasing.

scholarly journals Practise Patterns and Perceptions of Chest Health Care Providers on Electronic Cigarette Use: An In-Depth Discussion and Report of Survey Results

2017 ◽  
Vol 13 (2) ◽  
pp. 72-77 ◽  
Author(s):  
Stephen R. Baldassarri ◽  
Geoffrey L. Chupp ◽  
Frank T. Leone ◽  
Graham W. Warren ◽  
Benjamin A. Toll
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Electronic Cigarettes ◽  
Scientific Data ◽  
Care Providers ◽  
Web Based ◽  
Provider Perceptions ◽  
Chest Physician ◽  
Health Community ◽  
Survey Results

Introduction: The emergence of electronic cigarettes (ECs) has become a growing phenomenon that has sharply split opinion among the public health community, physicians, and lawmakers.Aims: We sought to determine chest physician perceptions regarding ECs.Methods: We conducted a web-based survey of 18,000 American College of Chest Physician (CHEST) members to determine health care provider experiences with EC users and to characterise provider perceptions regarding ECs.Results/Findings: There were 994 respondents. Eighty-eight per cent reported that patients had asked their opinion of ECs, and 31% reported EC use among at least 10% of their patients. More disagreed than agreed (41% vs. 21%) that patients could improve their health by switching from tobacco smoking to daily EC use. Respondents were split on whether ECs promote tobacco cessation (32% agree vs. 33% disagree).Conclusions: Current perceptions of ECs are variable among providers. More than 1/3 of respondents felt that EC's could be used for smoking cessation for smokers who failed prior quit attempts with approved therapies. However, many respondents were not convinced that ECs will reduce harms from tobacco use. There is an urgent need to generate additional high quality scientific data regarding ECs to inform chest physicians, health professionals, and the general public.

Web-Based Virtual Seismic Monitoring for Pipelines

2013 ◽  
Author(s):  
Douglas J. Nyman ◽  
Robert L. Nigbor
Keyword(s):  
Ground Motion ◽  
Ground Motions ◽  
Strong Motion ◽  
Seismic Monitoring ◽  
Scientific Data ◽  
Soil Conditions ◽  
Pipeline System ◽  
Web Based ◽  
Motion Data ◽  
Liquefaction Hazard

Strong motion seismic monitoring systems are often installed at critical industrial facilities located in areas of moderate to high seismicity. The objective of seismic monitoring is to facilitate post-earthquake evaluation and emergency action by providing rapid detection of seismic events and associated data, alarms, and information. Seismic monitoring can play a similar role for pipelines, especially considering the added geohazard risks along right-of-ways that might include landslides, fault crossings, and liquefaction hazard areas. Because of spatial distribution, seismic monitoring for pipelines is more complex than that required for a site-specific facility. In recent years, graphical software known as “ShakeMap,” developed by U.S. Geological Survey (USGS), has been used to rapidly estimate and distribute the distribution and intensity of earthquake ground motions from an earthquake. The ShakeMap solution for ground motions takes into account the distance from the earthquake source, the rock and soil conditions at sites, and variations in the propagation of seismic waves due to complexities in the structure of the Earth’s crust. ShakeMap ground motion data is available for automatic download from the USGS for potentially damaging earthquakes, e.g., Magnitude 5 and greater, within minutes after the event. USGS’ ShakeMap provides the opportunity to implement web-based systems to conduct automatic seismic monitoring for cross-county pipelines or networks of pipelines. A monitoring website can be equipped with a seismic database of fragilities that characterize geohazard vulnerabilities along pipeline right-of-ways as well as support facilities. Website software can be used to process the ground motion data to assess the threat to the pipeline system, advise pipeline controllers on the need for shutdown, and guide post-earthquake inspection on a prioritized basis. Drawing from the authors’ recent seismic monitoring experience for the Trans-Alaska Pipeline and other lifeline facilities, a conceptual plan for web-based seismic monitoring for pipelines is presented. The choice of a software platform can range from the use of open-source software available from USGS (ShakeCast) to custom software making direct use of gridded data downloads. Regardless of implementation strategy, the most convincing point to be made is that a seismic monitoring system need not require the installation of seismic instruments and the associated commitment to maintenance and hands-on seismology; instead it makes use of publicly available scientific data for rapid post-earthquake assessment.

scholarly journals Decentralized provenance-aware publishing with nanopublications

2016 ◽  
Author(s):  
Tobias Kuhn ◽  
Christine Chichester ◽  
Michael Krauthammer ◽  
Núria Queralt-Rosinach ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Semantic Web ◽  
Digital Age ◽  
Scientific Data ◽  
Data Publishing ◽  
Top Down ◽  
Web Based ◽  
Level Data ◽  
Scientific Datasets ◽  
Scientific Results ◽  
Archive Data

Publication and archival of scientific results is still commonly considered the responsability of classical publishing companies. Classical forms of publishing, however, which center around printed narrative articles, no longer seem well-suited in the digital age. In particular, there exist currently no efficient, reliable, and agreed-upon methods for publishing scientific datasets, which have become increasingly important for science. In this article, we propose to design scientific data publishing as a Web-based bottom-up process, without top-down control of central authorities such as publishing companies. Based on a novel combination of existing concepts and technologies, we present a server network to decentrally store and archive data in the form of nanopublications, an RDF-based format to represent scientific data. We show how this approach allows researchers to publish, retrieve, verify, and recombine datasets of nanopublications in a reliable and trustworthy manner, and we argue that this architecture could be used as a low-level data publication layer to serve the Semantic Web in general. Our evaluation of the current network shows that this system is efficient and reliable.

Sign in / Sign up

Export Citation Format

Share Document