579,321 research outputs found
Trends of the Citizens of Mafraq Governorate towards the Causes of Economic Poverty
This study aimed to identify the attitudes of the citizens of Mafraq Governorate towards the economic causes of poverty. The study sample consisted of 408 participants representing (0.14%) of the population of the study, were selected randomly . To achieve the goal of the study, a questionnaire consisted of 56 items is used. Data were collected and analyzed using (SPSS). The study relied on the analytic and descriptive approach. Results showed the attitudes of Mafraq Governorateâs citizens towards the economic causes of poverty were high with a mean ( 4.02 â 5.00) in terms of "high prices compared to the family income", "low level of income", "lack of job opportunities because of favoritism and nepotism", " high prices in the market"," the disparity and inequality in fortune distribution and production resources" and "the stumbling of economic development programs". In light of studyâs results , the researcher provides a number of scientific and practical recommendations. The study aimed to identify the trends of the citizens of Mafraq Governorate about the causes of economic poverty, may be members of the population of the study (408) of the study population and representing a rate of (0.14%) of the nearly study population, were chosen in a manner random sample relative, but the purpose of the study was the use of a questionnaire Head of the referendum as a psychometric tool, and trends of the questionnaire (56), paragraph, and after data collection and discharged processed using the statistical program for Social Sciences (SPSS), and used the descriptive analysis and deductive methods in order to determine the extent of substantial differences. Study the following results showed: that the citizens of trends Mafraq Governorate about the causes of economic poverty (high) reaching the arithmetic average of the respondents (4.02: 5.00) in terms of "high prices compared to the family income," "low level of income," "lack of job opportunities because favoritism and nepotism "," high prices in the market "," the disparity and inequality in wealth distribution and production resources, "and" economic development programs stumble, "in light of the results of this study have been drafting a number of scientific and practical recommendations
A bibliometric analysis of missed nursing care research: Current themes and way forward
Background. Missed nursing care adversely affects nurse and patient outcomes in healthcare settings. Comprehensive bibliometric overview of research output in this field is limited, which restricts knowledge of this complex phenomenon in terms of research trends, authorâs productivity, and thematic focus of scientific publications. This study aims to examine publications on missed nursing care by conducting a comprehensive bibliometric analysis. Methods. A search was performed in the Scopus database to identify 276 published studies on missed nursing care from inception to 20th February 2022. A bibliometric approach was used to comprehensively analyse retrieved publications based on trend, thematic focus, and scientific production. The R based software was used for data analysis. Results. The result from this bibliometric analysis indicates that the first study performed on the concept of missed nursing care was published in 2006. The United States of America (USA) ranked first in number of publications, and the study by Ball et al. published in 2014 was the most cited paper among the documents analysed. The results also identified names of prolific authors such as Kalisch B.J., Ausserhofer D., Willis E., Papastavrou E., Schubert M., Palese A., Simon M., and Aiken L. H. and relevant institutions in this field. Trending keywords identified included âmissed nursing care,â âunfinished nursing care,â âpatient safety,â and âcare left undone.â In addition, thematic analysis showed emerging themes such as âneonatal intensive care unit,â âpatient satisfaction,â âhealth resources,â âfailure to maintain,â and âadverse events.â Conclusion. Findings from this study reveal a lack of bibliometric analysis in missed nursing care research. This study provides significant contribution by presenting a comprehensive overview on thematic focus, hotspots studies, and directions for future research in this field. Findings from this study can guide scholars in defining research focus and aspects of research on missed nursing care for future exploration
A job response time prediction method for production Grid computing environments
A major obstacle to the widespread adoption of Grid Computing in both the scientific
community and industry sector is the difficulty of knowing in advance a job submission running
cost that can be used to plan a correct allocation of resources.
Traditional distributed computing solutions take advantage of homogeneous and open
environments to propose prediction methods that use a detailed analysis of the hardware and
software components. However, production Grid computing environments, which are large and
use a complex and dynamic set of resources, present a different challenge. In Grid computing
the source code of applications, programme libraries, and third-party software are not always
available. In addition, Grid security policies may not agree to run hardware or software analysis
tools to generate Grid components models.
The objective of this research is the prediction of a job response time in production Grid
computing environments. The solution is inspired by the concept of predicting future Grid
behaviours based on previous experiences learned from heterogeneous Grid workload trace
data. The research objective was selected with the aim of improving the Grid resource usability
and the administration of Grid environments. The predicted data can be used to allocate
resources in advance and inform forecasted finishing time and running costs before submission.
The proposed Grid Computing Response Time Prediction (GRTP) method implements
several internal stages where the workload traces are mined to produce a response time
prediction for a given job. In addition, the GRTP method assesses the predicted result against
the actual target jobâs response time to inference information that is used to tune the methods
setting parameters.
The GRTP method was implemented and tested using a cross-validation technique to assess
how the proposed solution generalises to independent data sets. The training set was taken from
the Grid environment DAS (Distributed ASCI Supercomputer). The two testing sets were taken
from AuverGrid and Grid5000 Grid environments
Three consecutive tests assuming stable jobs, unstable jobs, and using a job type method to
select the most appropriate prediction function were carried out. The tests offered a significant
increase in prediction performance for data mining based methods applied in Grid computing
environments. For instance, in Grid5000 the GRTP method answered 77 percent of job
prediction requests with an error of less than 10 percent. While in the same environment, the most effective and accurate method using workload traces was only able to predict 32 percent of
the cases within the same range of error.
The GRTP method was able to handle unexpected changes in resources and services which
affect the job response time trends and was able to adapt to new scenarios. The tests showed
that the proposed GRTP method is capable of predicting job response time requests and it also
improves the prediction quality when compared to other current solutions
Where Is Science Going?
Do researchers produce scientific and technical knowledge differently than they did ten years ago? What will scientific research look like ten years from now? Addressing such questions means looking at science from a dynamic systems perspective. Two recent books about the social system of science, by Ziman and by Gibbons, Limoges, Nowotny, Schwartzman, Scott, and Trow, accept this challenge and argue that the research enterprise is changing. This article uses bibliometric data to examine the extent and nature of changes identified by these authors, taking as an example British research. We use their theoretical frameworks to investigate five characteristics of research said to be increasingly pervasive-namely, application, interdisciplinarity, networking, internationalization, and concentration of resources. Results indicate that research may be becoming more interdisciplinary and that research is increasingly conducted more in networks, both domestic and international; but the data are more ambiguous regarding application and concentration. CR - Copyright © 1996 Sage Publications, Inc
New Trends in Development of Services in the Modern Economy
The services sector strategic development unites a multitude of economic and managerial aspects and is one of the most important problems of economic management. Many researches devoted to this industry study are available. Most of them are performed in the traditional aspect of the voluminous calendar approach to strategic management, characteristic of the national scientific school. Such an approach seems archaic, forming false strategic benchmarks.
The services sector is of special scientific interest in this context due to the fact that the social production structure to the services development model attraction in many countries suggests transition to postindustrial economy type where the services sector is a system-supporting sector of the economy. Actively influencing the economy, the services sector in the developed countries dominates in the GDP formation, primary capital accumulation, labor, households final consumption and, finally, citizens comfort of living.
However, a clear understanding of the services sector as a hyper-sector permeating all spheres of human activity has not yet been fully developed, although interest in this issue continues to grow among many authors.
Target of strategic management of the industry development setting requires substantive content and the services sector target value assessment
Integration or regionalization: regional industrial specialization in Russia
The article is devoted to the trends and determinants of the transformation of Russian regions' industrial specialization during the period of economic
growth. Using the methodology of statistic and econometric analysis it is tested whether the tendency of diversification dominates the tendency of regionsâ
industrial specialization in 1997-2004 and whether there is a convergence of Russian regions' industrial structures. The considered factors of industries'
development in a particular location include the initial industrial structure, inter- and
intraregional technologic links between industries, quality of investment
climate, R&D potential, international competition
Possible climate change impacts on water resources availability in a large semi-arid catchment in Northeast Brazil.
The semiarid region of Northeast Brazil is characterized by water scarcity, vulnerability of natural resources, and pronounced climatic variability. An integrated model has been developed to simulate this complex situation with an emphasis on a large-scale representation of hydrological processes and on the sensitivity to climate change. Regional climate change scenarios were obtained by empirical downscaling with large-scale climate information from different GCMs which differ strongly in their projections for future precipitation. The results show that due to these differences, it is still impossible to give quantitative values of the water availability in a forecast sense, i.e. to assign probabilities to the simulated results. However, it becomes clear that efficient and ecologically sound water management is a key question for further development. The results show that, independent of the climate change, agriculture is more vulnerable to drought impacts in the case of rainfed compared to irrigated farming. However, the capacity of irrigation and water infrastructure to enhance resilience with respect to climatic fluctuations is significantly constrained in the case of a negative precipitation trend
Ibero-American Research on Local Development. An Analysis of Its Evolution and New Trends
Local development is a subject that arouses significant interest in the international scientific community in general, and in the Ibero-American one, in particular. The process of globalization has transformed the management of local development, altering the role that is played by local and regional entities, and it is the object of an important follow-up and analysis by academia. This research uses a bibliometric methodology and a fractional counting method, reviewing the 738 articles from the Scopus database in order to understand the state of Ibero-American research on local development, and analyze the scientific literature on the topic. The results show a significant increase in the number of publications in the 21st century, with Spain and Brazil leading the way. In addition, this research provides interesting results regarding the most influential authors on this topic, the most relevant journals, and the most important institutions and funding organizations. There are several areas of knowledge involved since local development is a transversal field, such as Social Science, environment, business, economics, and agriculture. A deep analysis of authorsâ keywords identified new trends, linking local development with tourism, education, geotourism, climate change, local sustainable development, social innovation, and creativity, which provides academia with potential new lines of research
Bridging the Climate Information Gap: A Framework for Engaging Knowledge Brokers and Decision Makers in State Climate Assessments
Large-scale analyses like the National Climate Assessment (NCA) contain a wealth of information critical to national and regional responses to climate change but tend to be insufficiently detailed for action at state or local levels. Many states now engage in assessment processes to meet information needs for local authorities. The goals of state climate assessments (SCAs) should be to provide relevant, actionable information to state and local authorities, and to generate primary sources, build networks and inform stakeholders. To communicate local climate impacts to decision makers, SCAs should express credibility, salience and legitimacy. They can provide information (e.g., case studies, data sets) and connect stakeholders to the NCA and its process. Based on our experience in the Vermont Climate Assessment (VCA), we present a framework to engage decision makers in SCAs using a fluid network of scientific experts and knowledge brokers to conduct subject area prioritization, data analysis and writing. The VCA addressed economic, environmental and social impacts of climate change at local scales to increase resiliency and manage risk. Knowledge brokers communicated VCA findings through their own stakeholder networks. We include a qualitative impact evaluation, and believe our framework for interaction among scientists, knowledge brokers and stakeholders to be an effective structure for SCAs and a transformative experience for students
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