Data Analysis Research Papers - Academia.edu (original) (raw)

In 2003, the John A. Hartford Foundation Institute for Geriatric Nursing (Hartford Institute), in collaboration with the American Association of Colleges of Nursing, conducted a survey of baccalaureate schools of nursing in the United States to compare gerontological content to baseline data collected by the Hartford Institute in 1997. Since last surveyed in 1997, baccalaureate nursing programs have been the recipients of substantial new resources and initiatives focused on gerontological curriculum enhancement. While these initiatives are ongoing, and some are in an early stage of development, resurveying baccalaureate programs was seen as a means of taking a midcourse "pulse" as to the effectiveness of these efforts. Data suggest that there has been a fundamental shift in baccalaureate curriculum toward incorporation of a greater amount of gerontological content, integration of gerontological content in a greater number of nursing courses, and more diversity of clinical ...

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- Program Evaluation, Nursing, Geriatrics, Gerontology

We have performed a search for bursts of gravitational waves associated with the very bright Gamma Ray Burst GRB030329, using the two detectors at the LIGO Hanford Observatory. Our search covered the most sensitive frequency range of the LIGO detectors (approximately 80-2048 Hz), and we specifically targeted signals shorter than ≃150 ms. Our search algorithm looks for excess correlated power between the two interferometers and thus makes minimal assumptions about the gravitational waveform. We observed no candidates with gravitational wave signal strength larger than a pre-determined threshold. We report frequency dependent upper limits on the strength of the gravitational waves associated with GRB030329. Near the most sensitive frequency region, around ≃250 Hz, our root-sum-square (RSS) gravitational wave strain sensitivity for optimally polarized bursts was better than hRSS≃6×10 −21 Hz −1/2 . Our result is comparable to the best published results searching for association between gravitational waves and GRBs.

- by Alessandra San Jose
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- Engineering, Quantum Physics, Organic Chemistry, Astrophysical Plasma
- by vijayakumar karuppsamy
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- Quantum Physics, Data Analysis, High Energy Physics, High Frequency

This study examined the association between childhood sexual abuse (CSA) and parenting outcomes including parenting stress, feelings of competence and discipline strategies. Maternal depression and current partner violence were hypothesized to be mediators of the association between CSA and parenting. This study is based on secondary data analysis of archived data. The participants were 263 primiparous mothers (107 with a history of CSA and 156 comparison mothers recruited from a prenatal clinic prior to the birth of their first child. Mothers were interviewed twice: once when they were between 28 and 32 weeks gestation and again when their child was between 2 and 4 years of age. During the first interview, women were asked about childhood experiences of sexual abuse. During their second interview, they were asked about current symptoms of pathology and experiences with partner violence and parenting beliefs and practices. Structural Equation Modeling indicated that the relationship...

- by Pamela Schuetze
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- Pathology, Psychology, Social Work, Domestic Violence

Thunderstorms and the lightning that they produce are inherently interesting phenomena that have intrigued scientists and mankind in general for many years. The study of thunderstorms has rapidly advanced during the past century and many efforts have been made towards understanding lightning, thunderstorms and their consequences. Recent observations of optical phenomena above an active lightning discharge along with the availability of modern technology both for data collection and data analysis have renewed interest in the field of thunderstorms and their consequences in the biosphere. In this paper, we review the electrification processes of a thunderstorm, lightning processes and their association with global electric circuit and climate. The upward lightning discharge can cause sprites, elves, jets, etc. which are together called transient luminous events.

- by Rajesh Singh
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- Geophysics, Data Analysis, Ionosphere, Electromagnetic Waves

Purpose -Utilizing data envelopment analysis (DEA), this paper seeks to examine the performance of 20 Indian B-Schools, separating their profitability and marketability. The technique allows one to identify those management institutions which are able to utilize their resources in a most efficient way such that the overall goals of the organization are satisfied and total outcome maximized. If a management institution means to be effective in developing professionals who are going to be competent leaders and managers, then it would be useful to know the performance of the management institutes. However, measuring the performance of management institutes has received very little attention compared with other industries because it is difficult to measure its output. Design/methodology/approach -A DEA model is used to evaluate the relative efficiency of a group of decision-making units (DMUs) in their use of multiple inputs to produce multiple outputs where the form of production is neither known nor specified as in the case of parametric approach. Findings -The paper ranks management institutes from various points of stakeholders. The main findings are how much of the benefit from ranking of the B-Schools is credited because of its efficiency in converting the inputs to outputs. Does the ranking of any institution depend on scale of operations (scale efficiency) or is it only based on technical efficiency? Technical efficiencies are identified with failures to achieve best possible output levels and/or usage of excessive amounts of inputs. Practical implications -As Indian management schools widely publicize job offers with six figure salaries, managerial value addition, national ranking etc. provide an important impression about the management institutions. However, the reported results of experiments on input and output measures do not seem to differ between the ten best run institutes and the next ten institutes in terms of scale efficiency. Originality/value -The paper is one of the few written from the Indian perspective.

- by roma Performance
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- Data Analysis, TQM, Business and Management, Profitability

This research is the first step in building an
efficient Decision Support System (DSS) which employs
Data Mining (DM) predictive, classification, clustering,
and association rules techniques. This step considers
finding groups of members in the dataset that are very
different from each other, and whose members are very
similar to each other, therefore one DM task is applied
which is clustering task. The main objective of the
proposed research is to enhance the performance of one
of the most well-known popular clustering algorithms
(K-mean) to produce near-optimal decisions for telcos
churn prediction and retention problems. Due to its
performance in clustering massive data sets. The final
clustering result of the k-mean clustering algorithm
greatly depends upon the correctness of the initial
centroids, which are selected randomly. This research
will be followed by a serious of researches targeting the
main objective which is an efficient DSS which will be
applied on customer banking data. In this research a
new method is proposed for finding the better initial
centroids to provide an efficient way of assigning the
data points to suitable clusters with reduced time
complexity. The proposed algorithm is successfully
developed an applied on customer banking data, and
the evaluation results are presented.

- by Ahmed Bahgat I El Seddawy and +1
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- Data Mining, Data Analysis

Integrating geological concepts, such as relative positions and proportions of the different lithofacies, is of highest importance in order to render realistic geological patterns. The truncated plurigaussian simulation method provides a way of using both local and conceptual geological information to infer the distributions of the facies and then those of hydraulic parameters. The method (Le Loc'h and Galli 1994) is based on the idea of truncating at least two underlying multi-Gaussian simulations in order to create maps of categorical variable. In this manuscript we show how this technique can be used to assess contaminant migration in highly heterogeneous media. We illustrate its application on the biggest contaminated site of Switzerland. It consists of a contaminant plume located in the lower fresh water Molasse on the western Swiss Plateau. The highly heterogeneous character of this formation calls for efficient stochastic methods in order to characterize transport processes.

- by Olivier Jaquet
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- Data Analysis, Fluid Dynamics, Ground Water, Simulation Methods

Esta tesis desarrolla el modelo de un sistema para la toma de decisiones y mejora continua que toda organización o industria debería de poseer; tomando como punto crítico la gestión cuantitativa de información. En este trabajo monográfico el modelo propuesto se implementa en las granjas de porcicultura, ubicadas en Nicaragua, de la compañia AGANORSA. La tesis incluye como base los conocimientos desarrollados por Russell Ackoff, Edwards Deming, y Eliyahu Goldratt. Además de utilizar métodos cuantitativos como el cálculo de capacidad instalada, la modelación y simulación de procesos, análisis de factibilidad de escenarios, y otros.

The present paper describes a pilot and follow-up study of the preliminary development of a new tool to screen for Asperger Syndrome (AS) and related social and communication conditions (the CAST: Childhood Asperger Syndrome Test) in children aged 4-11 years, in a non-clinical setting. Pilot Study: Parents of 13 children with AS and 37 typically developing children completed the CAST. There were significant differences in mean scores, with the AS sample mean of 21.08 (range 15 -31) and the typical sample mean of 4.73 (range 0 -13). The Pilot was used to establish preliminary cut-off scores for the CAST. Main Study: Parents of 1150 primary-school-age children were sent the CAST, with 199 responders and 174 taking part in the full data analysis. Results suggest that compared to other tools currently available, the CAST may be useful for identifying children at risk for AS and related conditions, in a mainstream non-clinical sample.

- by Patrick Bolton
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- Psychology, Cognitive Science, Epidemiology, Autism

Over the last century, large-scale water development of the upper Rio Grande in the U.S. and Mexico, and of the Rio Conchos in Mexico, has resulted in progressive channel narrowing of the lower Rio Grande in the Big Bend region. We used methods operating at multiple spatial and temporal scales to analyze the rate, magnitude, and processes responsible for channel narrowing. These methods included: hydrologic analysis of historic stream gage data, analysis of notes of measured discharges, historic oblique and aerial photograph analysis, and stratigraphic and dendrogeomorphic analysis of inset floodplain deposits. Our analyses indicate that frequent large floods between 1900 and the mid-1940s acted as a negative feedback mechanism and maintained a wide, sandy, multi-threaded river. Declines in mean and peak flow in the mid-1940s resulted in progressive channel narrowing. Channel narrowing has been temporarily interrupted by occasional large floods that widened the channel, however, channel narrowing has always resumed. After large floods in 1990 and 1991, the active channel width of the lower Rio Grande has narrowed by 36-52%. Narrowing has occurred by the vertical accretion of fine-grained deposits on top of sand and gravel bars, inset within natural levees. Channel narrowing by vertical accretion occurred simultaneously with a rapid invasion of non-native riparian vegetation (Tamarix spp., Arundo donax) which created a positive feedback and exacerbated the processes of channel narrowing and vertical accretion. In two floodplain trenches, we measured 2.75 and 3.5 m of vertical accretion between 1993 and 2008. In some localities, nearly 90% of bare, active channel bars were converted to vegetated floodplain during the same period. Upward shifts of stage-discharge relations occurred resulting in over-bank flooding at lower discharges, and continued vertical accretion despite a progressive reduction in stream flow. Thus, although the magnitude of the average annual flood was reduced between 40 and 50%, over-bank flooding continued. These changes reflect a shift in the geomorphic nature of the Rio Grande from a wide, laterally unstable, multi-thread river, to a laterally stable, single-thread channel with cohesive, vertical banks, and few active in-channel bars.

- by John Schmidt
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- Geology, Geomorphology, Data Analysis, Invasive Species
- by Peri Rosenfeld
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- Program Evaluation, Nursing, Data Analysis, Faculty Development

Bluetooth is one of the most prevalent technologies available on mobile phones. One of the key questions how to harness this technology in an educational manner in universities and schools. This paper is about a Bluetooth quizzing system which will be used to administer quizzes to students of a university. The Bluetooth quizzing application consists of a server and client mobile Android application. It will utilize a queuing system to allow many clients to connect simultaneously to the server. When clients connect, they can register or choose the option to complete a quiz that the lecturer selected. Results are automatically sent when quiz is done from the client application. Data analysis can then be done to review the progress of students.

Women in contemporary Western society have increased options, resources, and opportunities to access a greater array of tourism and leisure choices. Yet the freedoms women have to consume these choices, and to access satisfying leisure and travel experiences, may be constrained by their social and gendered location as females. Leisure-based research has shown that women tend to be more highly and intensely constrained in their leisure pursuits, particularly when these activities are undertaken out of the home or in the outdoors. Little research, however, has explored how constraints impact on women's experiences in a tourism context, especially when they travel "solo." This article presents results of a qualitative, exploratory study of 40 Australian women's experiences of solo travel. In-depth interviews with these women reveal that constraints do exist and exert influence on their lives and travel experiences in a myriad of ways. Four interlinking categories of constraint were identified through a grounded approach to data analysis: sociocultural, personal, practical, and spatial. Further definition of these categories evolved, depending on where the women were situated in their travel experience (i.e., "pretravel" or "during travel"). The women's solo travel constraints will be presented and defined in this article, and practical implications for the tourism industry will also be discussed.

- by Erica Wilson
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- Data Analysis, Tourism, Boolean Satisfiability, Exploratory Study

TFM. A distancia de casi 45 años de las elecciones democráticas de 1977, el abstencionismo electoral continúa siendo un fenómeno que concierne decenas de millones de ciudadanos españoles. En este trabajo se quiere investigar sobre las características de este fenómeno, sobre su relación con aspectos políticos y socio-económicos y sobre sus efectos en los resultados electorales. Para realizar este objetivo se han utilizado dos enfoques diferentes. El primero consiste en el análisis agregado, es decir el examen de los datos electorales desde 1977 hasta 2019. En esta fase se ha analizado el nivel de participación electoral diferenciandolo por unidad territorial y tipo de elecciones, y se ha observado como han cambiado los resultados de los diferentes partidos según el nivel de abstención. El segundo enfoque consiste en el análisis individual, que se fundamenta en un examen de encuestas de opinión donde se relaciona el comportamiento electoral con características socio-económicas y opiniones políticas. Herramientas de visualización de datos y test estadísticas han sido utilizadas para permitir la individuación de patrones y relaciones significativas. En el análisis agregado se ha observado que las unidades territoriales más abstencionistas son las insulares y costeras y que el abstencionismo en las elecciones generales beneficía el Partido Popular. En el análisis individual se ha verificado como el tener un nivel de estudios primarios, una edad superior a los 60 años, el tener una opinión negativa hacia la situación política y económica y auto-ubicarse hacia el centro político tienen un efecto positvo en el abstencionismo electoral.

- by Molly Ott
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- Data Analysis, Governance, Sampling, Context Effect
- by Iveta Hlouchova
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- Data Analysis, Security, Privatization

Data analytics (DA) is the process of examining data sets in order to draw conclusions
about the information they contain, increasingly with the aid of specialized systems and
software. Data analytics technologies and techniques are widely used in commercial industries to
enable organizations to make more-informed business decisions and by scientists and researchers
to verify or disprove scientific models, theories and hypotheses. (Rouse and Stedman, 2016).
This project will seek to discover the applicability of DA within higher education and
specifically, the usability of DA to the University of the West Indies (UWI). By using DA, the
UWI can achieve many business outcomes and be more responsive to their target market.

- by Kumar Hinds
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- Data Analysis, Data Analytics, Big Data

This paper seeks to (re)think what constitutes records within an ethnographic archive by making visible the challenges that our external IE team faced as we entered the records archived by the internal IE team that we were invited to support in the documentation and analysis of a developing Instructional Development project. Although both teams shared a common conceptual logic-of-inquiry – Interactional Ethnography – It became evident that there were limits to certainty (Green & Baker 2007) that led us to (re)examine why some particular records were archived and what they were records of.

- by Judith L Green
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- Ethnography, Higher Education, Qualitative methodology, Data Analysis
- by Joel Padilla
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- Business Administration, Mathematics, Statistics, Data Analysis

A collection of fast and very fast R functions written in R or C++.

- by Μιχαήλ Τσαγρής and +1
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- Bioinformatics, Applied Mathematics, Statistics, Multivariate Statistics

After the researchers took to the field to conduct research on the theme of the collection of information under study, then the next step is to analyze the research information. Moleong (2007, p. 247) stated that the process of analysis begins by reviewing research information throughout the research information available from various sources, from interviews, observations written in the notes field, and study documents. The research information after being read, studied, and analyzed the data reduction is then performed by abstracting. Abstraction is a researcher trying to make a summary of the core, the process, and the statements that need to be maintained so that it remains within it. The next step is to construct the abstraction results in the units. The units are then categorized. At the time of the categorization of the units do the coding process. The final stage of the analysis is to conduct examination of the validity of the research information. After examination of the validity of research information, while the researcher to interpret the data into a substantive theory with a particular method.

- by Triyosi Girinda Puri
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- Statistics, Qualitative methodology, Applied Statistics, Data Analysis
- by Orhan TÜRK
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- Data Analysis, Internal Combustion Engines

T.C KARADENİZ TEKNİK ÜNİVERSİTESİ FEN FAKÜLTESİ İSTATİSTİK VE BİLGİSAYAR BİLİMLERİ LİSANS BİTİRME ÇALIŞMASI

Kaynak olarak kullanılan metnin, sayfanın veya kısmın ilgili çalışmada kaynak olarak belirtilmesi rica olunur.

- by Kadir TURAN
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- Data Mining, Data Analysis, Python Programming

To uncover qualitative and quantitative patterns in a data set is a challenging task for research in the area of machine learning and data analysis. Due to the complexity of real-world data, high-order (polythetic) patterns or event associations, in addition to first-order class-dependent relationships, have to be acquired. Once the patterns of different orders are found, they should be represented in a form appropriate for further analysis and interpretation. In this paper, we propose a novel method to discover qualitative and quantitative patterns (or event associations) inherent in a data set. It uses the adjusted residual analysis in statistics to test the significance of the occurrence of a pattern candidate against its expectation. To avoid exhaustive search of all possible combinations of primary events, techniques of eliminating the impossible pattern candidates are developed. The detected patterns of different orders are then represented in an attributed hypergraph which is lucid for pattern interpretation and analysis. Test results on artificial and real-world data are discussed toward the end of the paper.

- by Andrew Wong
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- Machine Learning, Graph Theory, Motor Learning, Data Analysis

This study exploits a unique policy environment and a large panel dataset to evaluate the impact of school crowding on student achievement in Wake County, NC. We also estimate the effects of two education policy initiatives that are often used to address crowding: multi-track year-round calendars and mobile classrooms. We estimate a multi-level fixed effects model to identify effects that are not confounded by other school, family, and individual characteristics. Results suggest that severely crowded schools have a negative impact on reading achievement but have no discernable impact on math achievement. Both mobile classrooms and year-round calendars are found to have a small negative impact on achievement in the absence of crowding, but a positive impact in crowded schools, though these policies are only able to partially offset the negative impact of crowding.

- by Steven McMullen
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- Economics, Data Analysis, Education Policy, Applied Economics

Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective. The method extends the Bayesian Lasso quantile regression by allowing different penalization parameters for different regression coefficients. Inverse gamma prior distributions are placed on the penalty parameters. We treat the hyperparameters of the inverse gamma prior as unknowns and estimate them along with the other parameters. A Gibbs sampler is developed to simulate the parameters from the posterior distributions. Through simulation studies and analysis of a prostate cancer dataset, we compare the performance of the BALQR method proposed with six existing Bayesian and non-Bayesian methods. The simulation studies and the prostate cancer data analysis indicate that the BALQR method performs well in comparison to the other approaches.

- by Keming Yu
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- Mathematics, Econometrics, Statistics, Data Analysis

The notion of “success” is narrowly defined and appropriated within an educational context. Typically limited to objective measures of organizational productivity, effectiveness, and efficiency, “successful” principal practices, we argue, engender action and attention to a broader array of issues and interrelationships. In this study, we conducted an exploratory case study drawing from interviews with five superintendents and three principals to probe broader definitions of successful school leadership. Data analysis revealed three themes to guide further research on successful leadership practice: capillarity of leadership actions, principals’ positionality in relation to members of the school community, and principals’ actions as moral ends.

- by Khaula Murtadha
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- Data Analysis, Case Studies, Best Practices, Organizational Effectiveness

Error! Bookmark not defined. 1 Introduction 2 Methodology 2.1 Poverty calculation in Australia 2.2 Spatial Microsimulation 3 Data 3.1 Census of Population and Housing 3.2 Survey of Income and Housing (SIH) 3.3 The use of Census and SIH data in SpatialMSM 4 Combining Survey and Census: Are they telling us the same thing? 4.1 Distribution of income among persons 4.2 Distribution of income among children 5 Implications for simulated poverty estimates 5.1 Which poverty line? 5.2 Differences in poverty rates 5.3 Validity 6 Conclusion Reference

- by Riyana Miranti
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- Data Analysis, Child Welfare, Income Distribution, Spatial Microsimulation

Background: The organizational context in which healthcare is delivered is thought to play an important role in mediating the use of knowledge in practice. Additionally, a number of potentially modifiable contextual factors have been shown to make an organizational context more amenable to change. However, understanding of how these factors operate to influence organizational context and knowledge use remains limited. In particular, research to understand knowledge translation in the long-term care setting is scarce. Further research is therefore required to provide robust explanations of the characteristics of organizational context in relation to knowledge use. Aim: To develop a robust explanation of the way organizational context mediates the use of knowledge in practice in long-term care facilities. Design: This is longitudinal, in-depth qualitative case study research using exploratory and interpretive methods to explore the role of organizational context in influencing knowledge translation. The study will be conducted in two phases. In phase one, comprehensive case studies will be conducted in three facilities. Following data analysis and proposition development, phase two will continue with focused case studies to elaborate emerging themes and theory. Study sites will be purposively selected. In both phases, data will be collected using a variety of approaches, including non-participant observation, key informant interviews, family perspectives, focus groups, and documentary evidence (including, but not limited to, policies, notices, and photographs of physical resources). Data analysis will comprise an iterative process of identifying convergent evidence within each case study and then examining and comparing the evidence across multiple case studies to draw conclusions from the study as a whole. Additionally, findings that emerge through this project will be compared and considered alongside those that are emerging from project one. In this way, pattern matching based on explanation building will be used to frame the analysis and develop an explanation of organizational context and knowledge use over time. An improved understanding of the contextual factors that mediate knowledge use will inform future development and testing of interventions to enhance knowledge use, with the ultimate aim of improving the outcomes for residents in long-term care settings.

- by Alison Hutchinson
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- Long Term Care, Data Analysis, Case Study Research, Implementation Science

An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments. We present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.

- by Sergey Nikolenko
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- Sociology, Ethnic Studies, Mathematics, Computer Science

This paper deals with Faculty Performance Assessment from student perspective using Statistical Analysis and Mining techniques.Performance of a faculty depends on a number of parameters (77 parameters as identified) and the performance assessment of a faculty/faculties are broadly carried out by the Management Body,the Student Community,Self and Peer faculties of the organization.The parameters act as performance indicators for an individual and group and subsequently can impact on the decision making of the stakeholders. The idea proposed in this research is to perform an analysis of faculty performance considering student feedback which can directly or indirectly impact management’s decision, teaching standards and norms set by the educational institute, understand certain patterns of faculty motivation, satisfaction, growth and decline in future. The analysis depends on many factors, encompassing student’s feedback, organizational feedback, institutional support in terms of finan...

- by Chandrani Singh
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- Data Analysis, Mining, Data Engineering, Performance Prediction

In our previous study we have shown that identification of bacteria species with the use of Fresnel diffraction patterns is possible with high accuracy and at low cost. Fresnel diffraction patterns were recorded with the optical system with converging spherical wave illumination. Obtained experimental results have shown that colonies of specific bacteria species generate unique diffraction signatures. Features used for building classification models and thus for identification were simply mean value and standard deviation calculated of pixel intensities within regions of interest called rings. This work presents new, interpretable features denoting morphological and textural properties of the Fresnel diffraction patterns and their verification with the use of the statistical analysis workflow specially developed for bacteria species identification. As data set of bacteria species diffraction patterns it is very important to find features that differentiate species in the best manner. This task includes two steps. The first is finding and extracting new, interpretable features that can potentially be better for bacteria species differentiation than the ones used before. While the second one is deciding which of them are the best for identification purposes. The new features are calculated basing on normalized diffraction patterns and central statistical moments. For the verification the analysis workflow based on ANOVA for feature selection, LDA, QDA and SVM models for classification and identification and CV, sensitivity and specificity for performance assessment of the identification process, are applied. Additionally, the Fisher divergence method also known as signal to noise ratio (SNR) for feature selection was exploited.

- by Igor Buzalewicz
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- Engineering, Data Analysis, Statistical Analysis, Biology

As modern information systems become increasingly business-and safety-critical, it is extremely important to improve both the trust that a user places in a system and their understanding of the risks associated with making a decision. This paper presents the STRAPP framework, a generic framework that supports both of these goals through the use of personalised provenance reasoning engines and state-of-art risk assessment techniques. We present the high-level architecture of the framework, and describe the process of systematically modelling system provenance with the W3C PROV provenance data model. We discuss the business drivers behind the concept of personalizing provenance information, and describe the STRAPP approach to enabling this through a user-adaptive system style. We discuss using data provenance for risk management and treatment in order to evaluate risk levels, and discuss the use of CORAS to develop a risk reasoning engine representing core classes and relationships. Finally, we demonstrate the initial implementation of our personalised provenance system in the context of the Rolls-Royce Equipment Health Management, and discuss its operation, the lessons we have learnt through our research and implementation (both technical and in business), and our future plans for this project.

- by Charles Dibsdale
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- Data Analysis, Cognition, Risk, Web Services

‫م‬ . ‫م‬ . ‫ثابت‬ ‫حسان‬ ‫ثابت‬ ‫م‬ . ‫م‬ . ‫جاسم‬ ‫عبدالعالي‬ ‫ياسر‬ ‫اإلدارية‬ ‫و‬ ‫المالية‬ ‫العلوم‬ ‫كلية‬ ‫اإلدارية‬ ‫و‬ ‫المالية‬ ‫العلوم‬ ‫كلية‬ ‫المحاسبة‬ ‫قسم‬ ‫المحاسبة‬ ‫قسم‬ ‫جيهان‬ ‫جامعة‬ / ‫أربيل‬ -‫اق‬ ‫العر‬ ‫جيهان‬ ‫جامعة‬ / ‫أربيل‬ -‫اق‬ ‫العر‬ ‫الملخص‬ : ‫و‬ ‫العالمية‬ ‫المالية‬ ‫األزمة‬ ‫تداعيات‬ ‫من‬ ‫التقليل‬ ‫في‬ ‫اإلقتصادي‬ ‫التنوع‬ ‫دور‬ ‫اسة‬ ‫در‬ ‫الى‬ ‫البحث‬ ‫يهدف‬ ‫عالميأ‬ ‫النفط‬ ‫أسعار‬ ‫إنخفاض‬ ‫بعد‬ ً ‫خصوصا‬ , ‫من‬ ‫تقوض‬ ‫أن‬ ‫شأنها‬ ‫من‬ ‫اإلقتصادية‬ ‫التحديات‬ ‫هذه‬ ‫أن‬ ‫حيث‬ ‫على‬ ‫كبير‬ ‫بشكل‬ ‫إعتماده‬ ‫بسبب‬ ‫المحلي‬ ‫اإلقتصاد‬ ‫في‬ ‫ار‬ ‫اإلستقر‬ ‫النفطية‬ ‫ات‬ ‫الصادر‬ . ‫باقي‬ ‫إهمال‬ ‫الى‬ ‫أدى‬ ‫مما‬ ‫عليها‬ ‫اقي‬ ‫العر‬ ‫اإلقتصاد‬ ‫إعتماد‬ ‫و‬ ‫الطبيعية‬ ‫ات‬ ‫الثرو‬ ‫توفر‬ ‫مشكلة‬ ‫البحث‬ ‫يتناول‬ ً ‫جدا‬ ‫كبير‬ ‫بشكل‬ ‫النفط‬ ‫ات‬ ‫صادر‬ ‫على‬ ‫للدولة‬ ‫العامة‬ ‫نة‬ ‫از‬ ‫المو‬ ‫إعتماد‬ ‫الى‬ ‫أدى‬ ‫الذي‬ ‫و‬ ‫الخاصة‬ ‫و‬ ‫العامة‬ ‫القطاعات‬ ‫غير‬ ‫اإلنخفاض‬ ‫بسبب‬ ‫كبير‬ ‫عجز‬ ‫حصول‬ ‫وبالتالي‬ ‫لسد‬ ‫اض‬ ‫اإلقتر‬ ‫الى‬ ‫اق‬ ‫العر‬ ‫إضطر‬ ‫مما‬ ً ‫عالميا‬ ‫للنفط‬ ‫المتوقع‬ ‫العجز‬ ‫ذلك‬ ‫من‬ ‫جزء‬ . ‫البحث‬ ‫يفترض‬ ‫تقليل‬ ‫في‬ ‫يساعد‬ ‫أن‬ ‫شأنه‬ ‫من‬ ‫كفوء‬ ‫و‬ ‫ال‬ ّ ‫فع‬ ‫بشكل‬ ‫اإلقتصادي‬ ‫التنوع‬ ‫محددات‬ ‫تطبيق‬ ‫إن‬ ‫أثار‬ ‫و‬ ‫النفط‬ ‫إنخفاض‬ ‫العالمية‬ ‫المالية‬ ‫األزمة‬ ‫اإلقتصادية‬ ‫التحديات‬ ‫اجهة‬ ‫مو‬ ‫على‬ ‫ة‬ ‫القدر‬ ‫بالتالي‬ ‫و‬ ‫إقتصادية‬ ‫ببيئة‬ ً ‫نسبيا‬ ‫ة‬ ‫مستقر‬ . ‫التحديات‬ ‫اجهة‬ ‫مو‬ ‫على‬ ‫اق‬ ‫العر‬ ‫تساعد‬ ‫أن‬ ‫شأنها‬ ‫من‬ ‫التي‬ ‫و‬ ‫المهمة‬ ‫النتائج‬ ‫من‬ ‫العديد‬ ‫الى‬ ‫الباحث‬ ‫توصل‬ ‫تقدمها‬ ‫التي‬ ‫الخدمات‬ ‫و‬ ‫للمنتجات‬ ‫قيمة‬ ‫إضافة‬ ‫و‬ ‫ات‬ ‫للصادر‬ ‫اإلقتصادي‬ ‫التنوع‬ ‫يز‬ ‫تعز‬ ‫خالل‬ ‫من‬ ‫اإلقتصادية‬ ‫النفطية‬ ‫غير‬ ‫االخرى‬ ‫القطاعات‬ , ‫وتحويل‬ ‫العام‬ ‫القطاع‬ ‫من‬ ً ‫بدال‬ ‫الخاص‬ ‫القطاع‬ ‫الى‬ ‫الوظيفي‬ ‫التوجه‬ . ‫المفتاحية‬ ‫الكلمات‬ : ‫اإلقتصادي‬ ‫التنوع‬ , ‫المالية‬ ‫األزمة‬ , ‫اإلقتصادية‬ ‫التحديات‬ , ‫النفط‬ ‫أسعار‬

- by Yaser Jasim
- •
- Economics, Data Analysis

Sporothrix schenckii isolates of fixed and lymphocutaneous clinical forms from Mexico (MX), Guatemala (GT), and Colombia (CO) as well as environmental isolates from MX were studied by analyzing their phenotypic characteristics (conidial length, thermotolerance by percent growth inhibition [GI] at 35 and 37°C, median lethal dose [LD 50 ]) and genotypic characteristics (by random amplified polymorphic DNA [RAPD] analysis-PCR). A significant difference (P < 0.01) in the mean conidial length of S. schenckii clinical isolates from CO (x ‫؍‬ 4.03 ؎ 1.04 m) compared with those of clinical isolates from MX (x ‫؍‬ 2.06 ؎ 0.53 m) and GT (x ‫؍‬ 2.68 ؎ 0.83 m) was observed. The lowest thermotolerance, as determined by measurement of percent GI, was exhibited by isolates from CO at 35°C (x ‫؍‬ 50.1% ؎ 15.9%) and 37°C (x ‫؍‬ 72.7% ؎ 10.9%). In general, the highest virulence, as determined by measurement of the LD 50 for mice, was observed for the MX environmental isolates. RAPD analysis-PCR with 10-mer primers OPBG-01, OPBG-14, and OPBG-19 generated 52 reproducible bands.

- by M. Reyes-Montes and +1
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- Colombia, Data Analysis, Principal Component Analysis, Clinical Microbiology
- by MOHD SHAH
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- Data Analysis, Microstrip Antenna, Impedance Matching, Dielectric Constant

Purpose: To retrospectively assess the performance of MR imaging in the evaluation and triage of pregnant patients presenting with acute abdominal or pelvic pain. Method and materials: MRI studies of pregnant patients who were referred for acute abdominal pain between 2001 and 2007 were included. MR images were retrospectively reviewed and compared with surgical and pathologic findings and clinical follow-up data. Analysis of imaging findings included evaluation of the visceral organs, bowel and mesentery, appendix (for presence of appendicitis), ovaries (detection and adnexal masses were evaluated), focal inflammation, presence of abscesses, and any other abnormal findings. Results: A total of 118 pregnant patients were included. MR findings were inconclusive in 2 patients and were positive for acute appendicitis in 11 patients (n = 9 confirmed by surgery, n = 2 improved without surgery). One patient with inconclusive MR had surgically confirmed appendicitis; the other patient with inconclusive MR had surgically confirmed adnexal torsion. Other surgical/interventional diagnoses suggested by MR imaging were adnexal torsion (n = 4), abscess (n = 4), acute cholecystitis (n = 1), and gastric volvulus (n = 1). Two patients with MR diagnosis of torsion improved without surgery. One patient with MR diagnosis of abscess had biliary cystadenoma at surgery. The rest of the MR diagnoses above were confirmed surgically or interventionally. MR imaging was normal in 67 patients and demonstrated medically treatable etiology in 28 patients: adnexal lesions (n = 9), urinary pathology (n = 6), cholelithiasis (n = 4), degenerating fibroid (n = 3), DVT (n = 2), hernia (n = 1), colitis (n = 1), thick terminal ileum (n = 1), rectus hematoma (n = 1). Three of these patients had negative surgical exploration and one had adnexal mass excision during pregnancy. Other patients were discharged with medical treatment. The sensitivity, specificity, accuracy, positive predictive values (ppv), and negative predictive values (npv) of MR imaging for acute appendicitis, and surgical/ interventional diagnoses were 90.0% vs. 88.9%, 98.1% vs. 95.0%, 97.5% vs. 94.1%, 81.8% vs. 76.2%, 99.1% vs. 97.9%, respectively. Conclusion: MR imaging is an excellent modality for diagnosis of acute appendicitis and exclusion of diseases requiring surgical/interventional treatment. Therefore MR imaging is useful for triage of pregnant patients with acute abdominal and pelvic pain.

- by Randy Ernst
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- Gastroenterology, Data Analysis, Magnetic Resonance Imaging, Nuclear medicine

A model of the multibeam echosounding process was developed. This model has now been used as the basis for the application of a model inversion technique, with the aim of analyzing midwater multibeam echosounder data, for fisheries... more

- by Arthur Sale
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- Data Mining, Signal Processing, Data Analysis, Underwater Acoustics

Adaptive radial-based direction sampling (ARDS) algorithms are specified for Bayesian analysis of models with nonelliptical, possibly, multimodal target distributions. A key step is a radial-based transformation to directions and distances. After the transformations a Metropolis-Hastings method or, alternatively, an importance sampling method is applied to evaluate generated directions. Next, distances are generated from the exact target distribution by means of the numerical inverse transformation method. An adaptive procedure is applied to update the initial location and covariance matrix in order to sample directions in an efficient way.

- by Herman Van Dijk and +3
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- Economics, Econometrics, Data Analysis, Economic Growth

Make a foundation library from all of the SQL Server servers of your company, either grouped or by function like Production, QA, DRP, Corporate, Branch, Development, Test, on subjects like tables, views, columns, constraints and defaults... more

- by Jose Aguilar
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- Information Systems, Software Engineering, Computer Engineering, Database Systems

The aim of this study was to assess Australian girls' beliefs and feelings about menarche and menstruation using both quantitative and qualitative methodologies. Eighty-seven Grade 6 girls were interviewed and completed questionnaires, including both self-report and projective measures, relating to pubertal status, attitudes to and knowledge about menstruation. Results showed knowledge to be limited, with evidence of incorrect and negative myths about menstruation. Attitudes to menstruation were characterized by embarrassment, discomfort, and ambivalence about growing up. Themes in story completion tasks further reflected these attitudes, along with shame and anxiety, linked periods with incapacity or illness, and expressed the norm of periods as events which require the use of deception and denial as coping strategies. Mature problem-solving approaches to the hypothetical situations in the stories were rare. Factor analysis of the attitudinal and knowledge data revealed four factors — Comfort through Knowledge; Negative Feelings: Discomfort through Knowledge; and Independence — which were discussed in terms of the ambivalent social construction placed on menstruation.

- by Susan Moore
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- Psychology, Research Methodology, Coping Strategies, Qualitative methodology

Formalin as a fixative has no practical substitutes, but is toxic and potentially carcinogenic, so caution of its use in hospitals and elsewhere is mandatory. In our hospital, preservation of surgical specimens into formalin to be transferred to pathology labs was replaced by under-vacuum sealing (UVS) tissues into plastic bags and preservation at 4°C until transfer. Data analysis showed UVS processing to be superior in terms of staff satisfaction and of gross anatomic preservation; no problems in terms of technical feasibility or histopathologic preservation were encountered. Formalin was confined to pathology labs while its use on hospital premises was vastly reduced.

- by Gianni Bussolati
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- Pathology, Surgery, Data Analysis, Medicine
- by Omer Rana
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- Information Retrieval, Artificial Intelligence, Visualization, Decision Making