64 research outputs found

    Modelling EU agriculture’s regional disparities under the national accounting system’s approach. The impact of the new economic and environmental challenges

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    The performance farming is a new bet for the EU in the context of the present’s major climate and economic challenges. This paper aims at defining a model of agricultural competitiveness for the EU and its application for the evaluation of regional agricultural performance, in relation to the global competitiveness index, using the theory of catastrophes. The objectives of the analysis are: to evaluate the current growth theories in agriculture, to conceptualize a new model of agricultural performance improvement (RAP), to test the model and to obtain the relevant working tools after its application. The used methods are: the study of the general models of growth in agriculture; the dynamic analysis of the Eurostat data on agricultural performance and Member States’ data published in the National Accounts System; the conceptualization of the RAP (Regional Agricultural Performance) growth model; the statistical testing of the model, its connectivity with global competitiveness indexes and climate change; the hypotheses’ building in order to eliminate the climate transformations influences according to the catastrophe theorem’s results; and providing a viable and sustainable tool for the national strategy for agriculture’s forecasting changes to the Member States. The novelty element brought by the present proposed model is that of quantification in a broader and special way of the impact of environmental changes on the performing agricultural output in terms of National Accounting System

    The Effect of Electronic Feedback on Anesthesia Providers\u27 Timely Preoperative Antibiotic Administration

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    The growing presence of electronic anesthesia record keeping and perioperative informatics systems is contributing to a database of valuable information that can significantly improve patient care and patient outcomes. Efforts such as the National Surgical Quality Improvement Project and the Surgical Care Improvement Project have analyzed quality measures that directly correlate to patient outcomes. Several of these quality indicators are influenced by the performance of anesthesia providers’ activities in the perioperative period. These programs promote timely administration of preoperative antibiotics. One of their guidelines states that preoperative antibiotic should be given within an hour prior to surgical incision. Surgical site infections are the most common postoperative complication. Reducing postoperative complications can reduce health care costs, and postoperative morbidity and mortality rates. The purpose of this project was to utilize an electronic feedback mechanism to improve anesthesia providers’ documentation of timely preoperative antibiotic administration. Electronic feedback reminders in the form of screensaver dashboards displaying updated departmental timely antibiotic percentage metrics for the day, the past week, and the past month were displayed for 16 weeks. Text messages were delivered once a week for 6 weeks showing an anesthesia providers’ prior average one week on time antibiotic along with an equivalent department on time average. The measures were effective in improving the documentation of timely antibiotic administration

    Large-scale database modeling: Developing XML schema

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    This thesis is concerned with the team efforts to develop a large database to track medical information. A large XML schema is developed from the Extended ER diagram to capture key and foreign key constraints. The strong types of XML schema were also used to assert patterns and domain constraints. These constraints will be used to aid the recognition of medical forms

    Environmental Decision-making utilizing a Web GIS to Monitor Hazardous Industrial Emissions in the Valencian community of Spain

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    Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Air pollution is a critical issue in contemporary times. For this reason, officials and environmental managers are in need of suitable tools for visualization, manipulation and analysis of environmental data. Environmental concerns in Europe have encouraged the European Environmental Agency (EEA) to create the European Pollutant Release and Transfer Register (E-PRTR). The E-PRTR is vital and valuable because society will benefit if the data are used to improve monitoring and consequently advance environmental management. However, the data are not accessible in an interoperable way, which complicates their use and does not allow for a contribution to environmental monitoring. This paper describes a Web GIS system developed for the monitoring of industrial emissions using environmental data released by the EEA. Four research objectives are addressed: (1) design and create an interoperable spatial database to store environmental data, (2) develop a Web GIS to manipulate the spatial database, facilitate air pollution monitoring and enhance risk assessment, (3) implement OGC standards to provide data interoperability and integration into a Web GIS, (4) create a model to simulate distribution of air pollutants and assess a population’s exposure to industrial emissions. The proposed approach towards interoperability is an adoption of servicebased architecture for implementation of a three-tier Web GIS application. This system’s prototype is developed using open source tools for the Valencian Community of Spain

    The Impact Of The Development Of ICT In Several Hungarian Economic Sectors

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    As the author could not find a reassuring mathematical and statistical method in the literature for studying the effect of information communication technology on enterprises, the author suggested a new research and analysis method that he also used to study the Hungarian economic sectors. The question of what factors have an effect on their net income is vital for enterprises. At first, the author studied some potential indicators related to economic sectors, then those indicators were compared to the net income of the surveyed enterprises. The resulting data showed that the growing penetration of electronic marketplaces contributed to the change of the net income of enterprises to the greatest extent. Furthermore, among all the potential indicators, it was the only indicator directly influencing the net income of enterprises. With the help of the compound indicator and the financial data of the studied economic sectors, the author made an attempt to find a connection between the development level of ICT and profitability. Profitability and productivity are influenced by a lot of other factors as well. As the effect of the other factors could not be measured, the results – shown in a coordinate system - are not full but informative. The highest increment of specific Gross Value Added was produced by the fields of ‘Manufacturing’, ‘Electricity, gas and water supply’, ‘Transport, storage and communication’ and ‘Financial intermediation’. With the exception of ‘Electricity, gas and water supply’, the other economic sectors belong to the group of underdeveloped branches (below 50 percent). On the other hand, ‘Construction’, ‘Health and social work’ and ‘Hotels and restaurants’ can be seen as laggards, so they got into the lower left part of the coordinate system. ‘Agriculture, hunting and forestry’ can also be classified as a laggard economic sector, but as the effect of the compound indicator on the increment of Gross Value Added was less significant, it can be found in the upper left part of the coordinate system. Drawing a trend line on the points, it can be made clear that it shows a positive gradient, that is, the higher the usage of ICT devices, the higher improvement can be detected in the specific Gross Value Added

    Comparison of Graph Databases and Relational Databases When Handling Large-Scale Social Data

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    Over the past few years, with the rapid development of mobile technology, more people use mobile social applications, such as Facebook, Twitter and Weibo, in their daily lives, and there is an increasing amount of social data. Thus, finding a suitable storage approach to store and process the social data, especially for the large-scale social data, should be important for the social network companies. Traditionally, a relational database, which represents data in terms of tables, is widely used in the legacy applications. However, a graph database, which is a kind of NoSQL databases, is in a rapid development to handle the growing amount of unstructured or semi-structured data. The two kinds of storage approaches have their own advantages. For example, a relational database should be a more mature storage approach, and a graph database can handle graph-like data in an easier way. In this research, a comparison of capabilities for storing and processing large-scale social data between relational databases and graph databases is applied. Two kinds of analysis, the quantitative research analysis of storage cost and executing time and the qualitative analysis of five criteria, including maturity, ease of programming, flexibility, security and data visualization, are taken into the comparison to evaluate the performance of relational databases and graph databases when handling large-scale social data. Also, a simple mobile social application is developed for experiments. The comparison is used to figure out which kind of database is more suitable for handling large-scale social data, and it can compare more graph database models with real-world social data sets in the future research

    Influence Of Developer Sentiment And Stack Overflow Developers On Open Source Project Success: An Empirical Examination

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    The collaborative effort of software developers around the world produces Open Source Software (OSS) products, and most importantly, the source code of the software product is shared publicly. A recent survey of 1300 IT professionals by Black Duck Software showed that the percentage of companies using open source software grew from 42% to 78% between 2010 and 2015. There has been a significant increase in the formation of self-organizing virtual teams to produce open source software products and services. The current literature does not address the factors affecting the success of open source projects through the lens of self-organizing virtual teams and the sentiment among the developers and the sentiment among software developers. This phenomenon suggests a need to understand how successful project teams are created in a virtual collaborative environment. This research investigates how successful virtual teams are formed through the influence of an online developer community. The focus of this research is to assess how the online developer community, Stack Overflow (SO), influences the success of open source projects. More precisely, the study empirically tests the influence of the SO community on successful Github (GH) projects. The investigation also empirically examines how the ties among the software developers in the SO community initiate the self-creation of OSS project teams. The research also explores the perception of the developers about open source projects. Furthermore, the study probes the impact of OSS artifacts, namely “feature” and “patch” requests, on open source projects. The findings indicate that the perception of the developers in the SO community, prior ties among the developers in the community, and the artifact type of the project are the factors that influence the success of OSS projects. The research discusses the implications of the outcomes concerning self-organizing open source project teams

    Examination of Regional Transit Service Under Contracting: A Case Study in the Greater New Orleans Region, Research Report 10-09

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    Many local governments and transit agencies in the United States face financial difficulties in providing adequate public transit service in individual systems, and in providing sufficient regional coordination to accommodate transit trips involving at least one transfer between systems. These difficulties can be attributed to the recent economic downturn, continuing withdrawal of the state and federal funds that help support local transit service, a decline in local funding for transit service in inner cities due to ongoing suburbanization, and a distribution of resources that responds to geographic equity without addressing service needs. This study examines two main research questions: (1) the effect of a “delegated management” contract on efficiency and effectiveness within a single transit system, and (2) the effects of a single private firm—contracted separately by more than one agency in the same region—on regional coordination, exploring the case in Greater New Orleans. The current situation in New Orleans exhibits two unique transit service conditions. First, New Orleans Regional Transit Authority (RTA) executed a “delegated management” contract with a multinational private firm, outsourcing more functions (e.g., management, planning, funding) to the contractor than has been typical in the U.S. Second, as the same contractor has also been contracted by another transit agency in an adjacent jurisdiction—Jefferson Transit (JeT), this firm may potentially have economic incentives to improve regional coordination, in order to increase the productivity and effectiveness of its own transit service provision. Although the limited amount of available operation and financial data has prevented us from drawing more definitive conclusions, the findings of this multifaceted study should provide valuable information on a transit service contracting approach new to the U.S.: delegated management. This study also identified a coherent set of indices with which to evaluate the regional coordination of transit service, the present status of coordination among U.S. transit agencies, and barriers that need to be resolved for regional transit coordination to be successful
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