bluuebunny/crossref_metadata_2025 huggingface dataset:
Maintaining Dimension's History in Data Warehouses Effectively
Authors: Atay Canan Eren , Garani Georgia
Published: May 2019

A data warehouse is considered a key aspect of success for any decision support system. Research on temporal databases have produced important results in this field, and data warehouses, which store historical data, can clearly benefit from such studies. A slowly changing dimension is a dimension in which any of its attributes in a data warehouse can change infrequently over time. Although different solutions have been proposed, each has its own particular disadvantages. The authors propose the Object-Relational Temporal Data Warehouse (O-RTDW) model for the slowly changing dimensions in this research work. Using this approach, it is possible to keep track of the whole history of an object in a data warehouse efficiently. The proposed model has been implemented on a real data set and tested successfully. Several limitations implied in other solutions, such as redundancy, surrogate keys, incomplete historical data, and creation of additional tables are not present in our solution.
A Method of Sanitizing Privacy-Sensitive Sequence Pattern Networks Mined From Trajectories Released
Authors: Zhang Haitao , Zhu Yunhong
Published: May 2019

Mobility patterns mined from released trajectories can help to allocate resources and provide personalized services, although these also pose a threat to personal location privacy. As the existing sanitization methods cannot deal with the problems of location privacy inference attacks based on privacy-sensitive sequence pattern networks, the authors proposed a method of sanitizing the privacy-sensitive sequence pattern networks mined from trajectories released by identifying and removing influential nodes from the networks. The authors conducted extensive experiments and the results were shown that by adjusting the parameter of the proportional factors, the proposed method can thoroughly sanitize privacy-sensitive sequence pattern networks and achieve the optimal values for security degree and connectivity degree measurements. In addition, the performance of the proposed method was shown to be stable for multiple networks with basically the same privacy-sensitive node ratio and be scalable for batches of networks with different sensitive nodes ratios.
Entrepreneurial Success Measures and Factors for Sustainable Entrepreneurship
Authors: Meshram Sachin A. , Rawani A. M.
Published: May 2019

Entrepreneurship has become an important component for the development of productivity and economic growth. The contribution of the entrepreneurship and Small and Medium Enterprises (SMEs) to the economy has attracted the attention of researchers and policy makers in both developed and transition economies. With this in consideration, based on the literature review, the authors have tried to explore and summarize criteria of entrepreneurship success measure. Understanding of these success measures will help organizations to adopt appropriate implementation strategies leading to success of entrepreneurship and SMEs. This article also presents a review of some popular models of entrepreneurship and SME success. An attempt is made here to highlight the factors consider in various models. Based on the factors identified authors have developed conceptual study model which will ultimately help to understand unique characteristics of the model.
Performance Improvement Tool Towards the Medicines Manufacturing Pharmaceutical Companies Under Sustainable Practices
Authors: Sahu Kaminee , Kohli Seema
Published: May 2019

It is observed that the pollution of hospitals is escalated due to the propagation of diseases across the world. The medicine production companies are known as pharmaceutical companies; reserve the different kinds of drug stocks to be supplied to their partners. It is investigated that presently, the patient deaths are hiked due to the delay in drug delivery to hospitals by pharmaceutical companies. It became necessary for pharmaceutical companies to map own supply chain practices, so that the death cases of patients can be eliminated. Pharmaceutical companies are seeking the decision support model with computing technique, which can improve their future performance. The authors propose a model which includes sustainable practices i.e., green, agile, resilient, flexible delivery of medicines. This proposal model is value-added with a weak and strong sustainable practices identification technique. This research deals with an application of a fuzzy-based Incentre of Centroid technique on proposed sustainability and is an assessment model for identifying the ill and strong chief indices, so that pharmaceutical companies can improve performance. An empirical research case of a pharmaceutical firm is presented to exhibit the real-life application of the research work.
Generations on New Technologies in Retail Banking in the Context of Knowledge Economy
Authors: Kieżel Małgorzata , Stefańska Magdalena
Published: May 2019

Together with development of innovative technology, retail banks increasingly and more frequently apply it to create and provide customers value. Such trends are justified in the article, considering the development of information society as well as progressing diversity in customers' preferences. The differences are increasingly stronger, especially if consumers' age representing different generations. The purpose of the article is to identify and evaluate the scope of use of retail banking products based on innovative technologies by customers in total, and while taking into account belonging to three various generations. According to the results of the research, security, lower price and growth of the comfort of use are the key factors to encourage the customers to use innovative solutions in banking. The most important barriers in that area are the costs that occur together with products based on advanced technologies and perceived risk of using unknown earlier services. However, acceptance of technologically advanced products by a wide range of customers depends on generation.
Prosumers
Authors: Fanea-Ivanovici Mina
Published: May 2019

During the current digital (r)evolution, consumer and producer roles have started to converge, with consumers becoming value creators and, to a certain extent, producers. This phenomenon is particularly enhanced on online platforms and social networks, especially in creative-cultural industries. The goal of this research is to discuss the role of the prosumer in the film industry in the context of crowdfunded projects, with a focus on the Romanian experience. Through an empirical analysis of successful filmmaking crowdfunding projects, the backers' role in the film production process is investigated. The eight cases analysed within this research represent the quasi-totality of the successfully crowdfunded filmmaking projects via Romanian crowdfunding platforms. The research reveals that the active involvement of backers-consumers into the film production process represents one of the most valuable rewards offered in exchange for the highest financial contributions, with the majority of successful filmmaking projects including it in their reward strategy. According to the research findings, filmmakers understand that, on the one hand, fans can financially contribute more by being provided with such an opportunity, and that, on the other hand, prosumers can use their skills and expertise and translate them into creative input, execution, assessment, and testing of the project. The author posits that the opportunity to become producer in a film is an incentive to financially (and additionally non-financially) contribute to the project, thus increasing the odds of the project to be successful. Such conclusion can improve the reward scheme in crowdfunded filmmaking projects as well as their rate of success.
Transformational Leadership and Innovative Work Behavior in an IT Department of a Public Organization in the Kingdom of Bahrain
Authors: Al-Shammari Minwir M , Khalifa Noof Y
Published: May 2019

The purpose of this study is to provide an understanding of the role that transformational leadership plays in innovative work behavior of employees in an IT department of a public organization in Bahrain. An online questionnaire hyperlink was sent to 127 randomly chosen employees. The completed and submitted questionnaires were 98, at a response rate of 77%. Results of the Spearman rank correlation tests indicated that there were significant relationships between transformational factors and employees' innovative behavior, except for the idealized influence factor that showed no significant relationships. Furthermore, the study found significant relationships between innovative behaviors and employee demographic variables (gender and academic qualification). Managers need to react positively to the innovative efforts of employees and provide them with resources and rewards needed for innovation.
Transformational Leadership and Occupational Self-Efficacy in Software Product Line Institutionalization
Authors: Choi Youngkeun
Published: May 2019

A software product line is a new development methodology for the specific needs and a prescribed way. The whole institutionalization of new development methodology involves a transformational leadership and individual self-efficacy to acquire new knowledge and to effectively initiate, launch, and manage SPLs. For this study data was collected from 352 employees in Korean companies through a survey method and uses SPSS 18.0 for hierarchical regression analysis. The results show that charisma, inspirational motivation, intellectual stimulation, and individualized consideration increase their occupational self-efficacy affecting the software product line performance of software developers positively in turn. This is the first study to show leadership type and clearly identify how this leadership type influences software product line performance through self-efficacy. The propositions that this study presents provide conceptual insights for managers who seek to leadership type which increases software product line performance.
Mobile Learning Technologies as a Means of Maintaining Education Delivery In Crisis Situations
Authors: Baytiyeh Hoda
Published: May 2019

The disruption of education services during major crises poses a challenge for international agencies, governments, schools, and communities. The article demonstrates a potential role for mobile technologies in supporting continuity of education delivery during temporary school closures caused by such crises. Discussing how school administrators can reduce the impact on students, this article describes an interactive online educational environment and outlines the advantages of available mobile learning devices for this purpose. With proper training, teachers can integrate mobile learning tools in both classroom activities and out-of-classroom learning. The article will be of interest to educational policy makers and school administrators with responsibility for ensuring continued education delivery in the aftermath of major crises.
Educating Digital Citizens Through Curricular Incorporation
Authors: Cassells Laetitia , Dlamini Nolwandle Nono
Published: May 2019

With the increased focus on e-education and closing the digital divide through access to ICT's in South Africa, foundation and secondary school curricula are increasingly becoming the location for ICT integration. There is however no overt focus on introducing digital wellness and digital citizenship education information into the curriculum, leaving students vulnerable in terms of information seeking, use, and production even with infrastructure access being available. This treats the problem of the digital divide in South Africa as a purely access-based issue, ignoring the influence of information poverty and digital citizenship on the digital divide. Through examining the existing curriculum this article attempts to suggest a possible integration of these topics within the existing curricular structure.
A Complete Validated Learning Analytics Framework
Authors: Tlili Ahmed , Essalmi Fathi , Jemni Mohamed , Kinshuk Professor , Chen Nian-Shing
Published: May 2019

Advances in technology have given the learning analytics (LA) area further potential to enhance the learning process by using methods and techniques that harness educational data. However, the lack of guidelines on what should be taken into considerations during application of LA hinders its full adoption. Therefore, this article investigates the issues that should be considered during the design of LA experience from the data use perspective. The results obtained present a validated LA framework which is composed of eighteen validated key issues that should be considered by various stakeholders in their contexts to enhance designing LA experiences. This framework can also be used by researchers and practitioners to learn more about LA and its designing issues.
Teachers' and Students' Perspectives on Good Teaching Using Technology in Elementary Classrooms
Authors: Han Insook , Han Seungyeon , Shin Won Sug
Published: May 2019

This article describes good teaching with technology from both teachers' and students' perspectives through analyzing two distinctive cases of teaching practices with technology in K-12 settings. Data was generated from teacher interviews, classroom observation, student interviews, and student reflection journals. From the analysis of these data, the authors identified four categories of behavior that were considered emblematic of good teaching with technology: deliberate instructional design, enhanced engagement, adaptive instruction, and a respectful learning environment. In addition, while teachers restructured the curriculum and integrated technologies in a way that was more meaningful for students, teachers' beliefs were embedded in their approaches towards instructional design and teaching practices, which resulted in the seamless integration of technology with sound pedagogy in a content-specific way. The results of the study provided practical guidelines for good teaching with technology and implications on what role technology should take in teaching practices.
A Synchronous Pedagogy to Improve Online Student Success
Authors: Hogan Robert P. , Devi Mohini
Published: May 2019

Despite continuous advances in the Internet and educational technology, the primary online pedagogy remains asynchronous chat, posted learning materials, and video clips. Blended learning was one approach universities have added to improve student success in online courses. The purpose of this 3-year pilot study was to evaluate the benefit of fusing weekly video classes within an online doctoral program as an alternative to on-campus classes. The sessions incorporated an interactive, student-centered pedagogy formulated to strengthen research and writing skills, increase student motivation, and reduce isolation. The level of student-student and student-teacher interaction was equivalent to face-to-face learning. Findings indicated that student satisfaction, motivation, skills, and scholarship increased. As personal bonds developed among students and faculty, student isolation decreased. The results of this preliminary study suggest that online video classes may be a cost-effective alternative to blended learning.
Predicting the Severity of Open Source Bug Reports Using Unsupervised and Supervised Techniques
Authors: Pushpalatha M N  , Mrunalini M
Published: May 2019

The severity of the bug report helps for the bug triagers to prioritize the handling of bug reports for giving more importance to high critical bugs than less critical bugs, since the inexperienced developers and new users can make mistakes while assigning the severity. The manual labeling of severity is labor-intensive and time-consuming. In this article, both unsupervised and supervised learning algorithms are used to automate the prediction of bug report severity. Because the data was unlabeled, the Gaussian Mixture Model is used to group similar kinds of bug reports. The result is labeled data with the severity level given for each bug reports. Then, the training of classifiers is performed to predict the severity of new bug reports submitted by the user using Multinomial Naïve Bayes Classifier, Logistic Regression Classifier and Stochastic Gradient Descent Classifier. Using these methods, around 85% accuracy is obtained. More accurate predictions can be done using the authors approach.
Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation
Authors: Dahane Miloud , Abdi Mustapha Kamel , Bouneffa Mourad , Ahmad Adeel , Basson Henri
Published: May 2019

Software evolution control mostly relies on the better structure of the inherent software artifacts and the evaluation of different qualitative factors like maintainability. The attributes of changeability are commonly used to measure the capability of the software to change with minimal side effects. This article describes the use of the design of experiments method to evaluate the influence of variations of software metrics on the change impact in developed software. The coupling metrics are considered to analyze their degree of contribution to cause a change impact. The data from participant software metrics are expressed in the form of mathematical models. These models are then validated on different versions of software to estimate the correlation of coupling metrics with the change impact. The proposed approach is evaluated with the help of a set of experiences which are conducted using statistical analysis tools. It may serve as a measurement tool to qualify the significant indicators that can be included in a Software Maintenance dashboard.
Corporate Social Responsibility Reporting in the Online News Letters of ExxonMobil and SPDC in Nigeria
Authors: Dikeocha Chijioke
Published: May 2019

This study seeks to find out whether energy corporations that operate in Nigeria provide adequate information about their corporate social responsibility, and whether these programmes are available on their managed online media platforms. For this reason, the study investigates how two energy corporations have engaged the online newsletter platform to share information concerning their CSR performance. The research employs a content analysis method. The population of the study comprises all online newsletters published by these corporations from January 2013 to August 2014. There are recognized similarities and difference in their use of online newsletters to share information concerning their corporate social responsibility to their various stakeholders. The study recommended that: ExxonMobil (Nigeria) and SPDC (Nigeria) should make effort to be consistent in their online newsletter publication. SPDC (Nigeria) should de-emphasise the frightening account of oil theft and spillage and focus more on human capacity development of persons within their host communities.
Financial Education and Inclusion
Authors: Patiño Omar Alonso , Gutiérrez Laura Marcela Patiño
Published: May 2019

Financial education is one of the aspects of economic development in countries that have been given great importance in recent years. It is considered that a country that increases the levels of financial literacy is a country that has a greater proportion of people who are banking and with this, the banking sector is dynamic and as a consequence the economy in general. Given this, banks have a great responsibility to develop alternatives that favor a greater percentage of the population using their services for which they should consider, not only the quality of services but also the interest charged for their loans and the retribution that has the money placed by each of its clients.
Necrotizing sarcoid granulomatosis: A case report
Authors: Correia Sofia O. , Pereira Daniel , Maia José Miguel , Cipriano Ana Sofia , França Maria Manuela , Ribeiro Rosa
Published: May 2019

We report a case of a 22-year-old man with persistent cough and sarcoidosis-like changes in computed tomography scan. An extensive differential diagnosis is discussed and its evolution and treatment is presented.
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa
Authors: Adeola Abiodun Morakinyo , Botai Joel Ondego , Mukarugwiza Olwoch Jane , De W. Rautenbach Hannes C.J. , Adisa Omolola Mayowa , De Jager Christiaan , Botai Christina M. , Aaron Mabuza
Published: May 2019

There has been a conspicuous increase in malaria cases since 2016/2017 over the three malaria-endemic provinces of South Africa. This increase has been linked to climatic and environmental factors. In the absence of adequate traditional environmental/climatic data covering ideal spatial and temporal extent for a reliable warning system, remotely sensed data are useful for the investigation of the relationship with, and the prediction of, malaria cases. Monthly environmental variables such as the normalised difference vegetation index (NDVI), the enhanced vegetation index (EVI), the normalised difference water index (NDWI), the land surface temperature for night (LSTN) and day (LSTD), and rainfall were derived and evaluated using seasonal autoregressive integrated moving average (SARIMA) models with different lag periods. Predictions were made for the last 56 months of the time series and were compared to the observed malaria cases from January 2013 to August 2017. All these factors were found to be statistically significant in predicting malaria transmission at a 2-months lag period except for LSTD which impact the number of malaria cases negatively. Rainfall showed the highest association at the two-month lag time (r=0.74; P<0.001), followed by EVI (r=0.69; P<0.001), NDVI (r=0.65; P<0.001), NDWI (r=0.63; P<0.001) and LSTN (r=0.60; P<0.001). SARIMA without environmental variables had an adjusted R2 of 0.41, while SARIMA with total monthly rainfall, EVI, NDVI, NDWI and LSTN were able to explain about 65% of the variation in malaria cases. The prediction indicated a general increase in malaria cases, predicting about 711 against 648 observed malaria cases. The development of a predictive early warning system is imperative for effective malaria control, prevention of outbreaks and its subsequent elimination in the region.
Modelling youth pregnancy in continental Portugal through geographically weighted regression
Authors: David João , Cabral Pedro
Published: May 2019

Youth pregnancy, a global public health problem with important social, educational and economic impact, has mostly been studied in the least developed countries. However, this condition also affects the industrialized countries. This article presents a youth pregnancy study at the municipality level in continental Portugal based on geographically weighted regression. The results indicate that youth pregnancy rates can be explained by several variables: i) proportion (%) of social security beneficiaries; ii) number of households without amenities; iii) the rate of those prematurely leaving school; iv) the unemployment rates of youths and females, ceteris paribus. In addition, it was found that the beneficiaries of social security had a higher impact on youth pregnancy in the southern part of the country, and in the Centre too; that households without amenities had a higher impact along the central coast and in the South; that rates of those leaving school prematurely had a higher influence in the North and the Interior than in the rest of the country; and that youth and female unemployment rates were more widespread in the Centre, particularly along the coast. Overall, the model identified a strong association of explanatory variables with youth pregnancy rates in the country as a whole, except in the Porto metropolitan area. These findings may help health planners to define policies to mitigate this important social problem.
Understanding how distance to facility and quality of care affect maternal health service utilization in Kenya and Haiti: A comparative geographic information system study
Authors: Gao Xing , Kelley David Wayne
Published: May 2019

In 2000, the United Nations established eight Millennium Development Goals (MDG) to combat worldwide poverty, disease, and lack of primary education. Goal number five aimed to reduce the maternal mortality ratio by three quarters and provide universal access to reproductive healthcare services by 2015. While there has been some progress, MDG 5 fell far short of target goals, highlighting the necessity of further improvement in global maternal health. Using Geographic Information Systems (GIS), this study aims to understand how distance to facility and quality of care, which are components of access, affect maternal service utilization in two of the world’s poorest countries, Haiti and Kenya. Furthermore, this study examines how this relationship may change or hold between urban and rural regions. Data from the United States Agency for International Development Demographic and Health Survey and Service Provision Assessment were linked spatially in a GIS model, drawing comparisons among distance to facility, quality of care, and maternal health service utilization. Results show that in both rural and urban regions, access to maternal health service and maternal health service utilization share a similar spatial pattern. In urban regions, pockets of maternal health disparities exist despite close distance to facility and standard quality of care. In rural regions, there are areas with long distances to facilities and low quality of care, resulting in poor maternal service usage. This study highlights the usefulness of GIS as a tool to evaluate disparities in maternal healthcare provision and usage.
Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network
Authors: Ahangarcani Mehrdad , Farnaghi Mahdi , Shirzadi Mohammad Reza , Pilesjö Petter , Mansourian Ali
Published: May 2019

Leptospirosis is a zoonotic disease found wherever human is in direct or indirect contact with contaminated water and environment. Considering the increasing number of cases of this disease in the northern part of Iran, identifying areas characterized by high disease incidence risk can help policy-makers develop strategies to prevent its further spread. This study presents an approach for generating predictive risk maps of leptospirosis using spatial statistics, environmental variables and machine learning. Moran's I demonstrated that the distribution of leptospirosis cases in the study area in Iran was highly clustered. Pearson’s correlation analysis was conducted to examine the type and strength of relationships between climate and topographical factors and incidence of the disease. To handle the complex and nonlinear problems involved, machine learning based on the support vector machine classification algorithm and multilayer perceptron neural network was exploited to generate annual and monthly predictive risk maps of leptospirosis distribution. Performance of both models was evaluated using receiver operating characteristic curve and Kappa coefficient. The output results demonstrated that both models are adequate for the prediction of the probability of leptospirosis incidence.
Japan Aerospace Exploration Agency’s public-health monitoring and analysis platform: A satellite-derived environmental information system supporting epidemiological study
Authors: Oyoshi Kei , Mizukami Yosei , Kakuda Ryosuke , Kobayashi Yusuke , Kai Hiroki , Tadono Takeo
Published: May 2019

Since the 1970s, Earth-observing satellites collect increasingly detailed environmental information on land cover, meteorological conditions, environmental variables and air pollutants. This information spans the entire globe and its acquisition plays an important role in epidemiological analysis when in situ data are unavailable or spatially and/or temporally sparse. In this paper, we present the development of Japan Aerospace Exploration Agency’s (JAXA) Public-health Monitoring and Analysis Platform available from JAXA, a user-friendly, web-based system providing environmental data on shortwave radiation, rainfall, soil moisture, the normalized difference vegetation index, aerosol optical thickness, land surface temperature and altitude. This system has been designed so that users should be able to download and utilize data without the need for additional data processing. The website allows interactive exchange and users can request data for a specific geographic location and time using the information gained for epidemiological analysis.
Spatial clusters of life expectancy and association with cardiovascular disease mortality and cancer mortality in the contiguous United States: 1980-2014
Authors: Amin Raid W. , Steinmetz Julia
Published: May 2019

The average life expectancy varies greatly from county to county in USA and there are also spatial variations in the county mortality rates for cardiovascular disease (CVD) and cancer, the top two causes of death. An association between these two groups of diseases has not been identified by cluster analysis previously. The main objective in this study was to investigate and quantify the associations between mortality due to CVD, cancer mortality and life expectancy based on US county data between 1980 and 2014. Regression analysis was used to adjust life expectancy for the mortality due to CVD and that due to cancer. In addition to the spatial life expectancy trends, we also studied existing trends over time with the software JOINPOINT to see how life expectancy is influenced by changes in mortality due to CVD and cancer mortality. The study setting was the 48 contiguous US states, while participants were 3,100 counties and their populations of all ages during the period 1980-2014. The main outcomes are spatial clusters of unusually low or high levels of life expectancy in addition to identifying which county level life expectancy locations were significantly associated with mortality due to CVD and/or cancer. Life expectancy has been improving steadily from 1980 to 2014, but the rate of increase per year (indicated by variation of the trend slope) changed significantly at five joinpoints, the latest of which occurred in 2010 when the slope changed from 0.29 (1980-1982) to 0.03 (2010-2014). Our results reveal that there are significant, purely spatial clusters in some geographical areas where life expectancy rates are significantly higher (or lower) than in the rest of the contiguous US. It is also shown that there is a significant association between the life expectancy level and the corresponding CVD mortality, and there is also a significant association between life expectancy level and the corresponding overall cancer mortality. The general trends (regression slopes) over time for the USA in life expectancy mortality, CVD mortality and cancer mortality have changed significantly after 2009-2010.
Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate
Authors: McGill Erin , Berke Olaf , Peregrine Andrew S. , Weese J. Scott
Published: May 2019

Dirofilaria immitis is the causal agent of heartworm, a mosquito-borne parasite that primarily infects domestic and wild canids. The infection is endemic in parts of Canada, and Ontario has been identified as the province where the majority of heartworm infections occur. Test results for blood samples submitted by veterinary clinics for the years 2007-2016 were used to conduct a spatial risk analysis of heartworm among domestic dogs in Ontario. The geographic extent of the apparent heartworm prevalence was examined through smoothed choropleth maps for all 49 census division regions. Furthermore, the regions were assessed for local clusters in apparent prevalence using the flexible spatial scan statistic. Three clusters were found and located in western, southern and eastern Ontario, respectively. A spatial Poisson regression model for heartworm prevalence among pet dog populations in southern Ontario census divisions was fit to determine the association between human population size, heartworm development units (HDUs), climate moisture index (CMI), precipitation and directions, east or north, with heartworm infection. The model identified the spatial distribution of HDUs and CMI as positively associated with heartworm infection and therefore important predictors of the infection. In contrast, human population size, increasing northern latitude and drier areas were negatively associated with heartworm infection. The east direction and precipitation were not significant.
A Decade of Hip Injuries in National Collegiate Athletic Association Football Players: An Epidemiologic Study Using National Collegiate Athletic Association Surveillance Data
Authors: Makovicka Justin L. , Chhabra Anikar , Patel Karan A. , Tummala Sailesh V. , Hartigan David E.
Published: May 2019

Context

The complex, high-energy nature of football puts players at risk for hip injuries.

Objective

To analyze National Collegiate Athletic Association (NCAA) Injury Surveillance Program data for men's football hip injuries from 2004–2005 through 2013–2014.

Design

Descriptive epidemiologic study.

Setting

National Collegiate Athletic Association football teams.

Patients or Other Participants

Data on collegiate football players was provided by the NCAA Injury Surveillance System from 2004–2005 through 2013–2014.

Main Outcome Measure(s)

The incidence, risk factors, rates, and distribution of hip injuries over the 10-year period from 2004–2005 through 2013–2014 were determined. Rates and distribution of injuries were analyzed by injury type, time loss, event type, time of season, recurrence, mechanism of injury, player position, and if surgery was required. Injury rate ratios were calculated to compare rates between event types and by time of season.

Results

A total of 1618 hip injuries occurred during 3 121 380 athlete-exposures (AEs), resulting in an overall hip injury rate of 5.18 per 10 000 AEs. Adductor strains (38.63%) were the most common type, followed by hip-flexor strains (28.55%) and hip contusions (18.23%). Players were 3.56 (95% confidence interval [CI] = 3.19, 3.98) times more likely to sustain a hip injury during competitions compared with practices. They were 2.37 (95% CI = 2.15, 2.62) and 3.56 (95% CI = 2.49, 5.08) times more likely to sustain a hip injury during the preseason than in-season or the postseason, respectively.

Conclusions

During the 10-year period, NCAA football players sustained higher rates of hip injuries during competitions and the preseason. The majority were noncontact injuries, resulted in time loss of less than 6 days, and did not require surgery. The injuries varied with player position and occurred most often to defensive backs. Muscle strains were the most frequent group of hip injuries, while adductor strains, hip-flexor strains, and hip contusions were the most common injury types.
Insulinoma presenting as complex partial seizures
Authors: Lingudu Brahmanandam , Bongi Vivekanand , Ayyagari Mythili , Venkata Subrahmanyam Kandregula Appala
Published: May 2019

We describe a 42-year-old male patient who presented with recurrent left focal seizures with altered sensorium refractory to polytherapy with antiepileptic drugs and recurrent hypoglycemic episodes. Whipple's triad was documented. Insulin, C-peptide levels were elevated, and insulin-glucose ratio was more than 0.3 confirming the endogenous hyperinsulinism. Magnetic resonance imaging (MRI) abdomen revealed mass in the tail and distal body of the pancreas. Interictal electroencephalography showed generalized slow wave activity in delta range. MRI brain was normal. Excision of tumor was done. Histopathology confirmed the insulinoma. The patient had no recurrence of seizures during follow-up.
Uma Partida em qualquer Porto, Um Navegar por Mares Loucos...
Authors: Londero Mário Francis Petry , Paulon Simone Mainieri
Published: May 2019

O artigo reflete sobre a escuta clínica a partir de uma pesquisa-intervenção participativa e avaliativa das práticas de cuidado em saúde mental na rede de atenção básica, realizada na região metropolitana do estado do Rio Grande do Sul. Sustentado no método cartográfico, o estudo foi desenvolvido com grupos de interesse, stakeholders, que reuniram usuários, trabalhadores e gestores da rede de atenção psicossocial de cada um dos seis municípios participantes. As narrativas extraídas de cenas cotidianas de um dos municípios pesquisados são apresentadas com a finalidade de destacar as dificuldades que tanto os trabalhadores como a comunidade têm em acolher os sofrimentos psíquicos expressos na discursividade psicótica. Ao final, aponta-se o quanto a clínica da reforma psiquiátrica teria a aprender com as experimentações desviantes que a loucura e as pesquisas participativas podem ofertar quando operadas sob uma ética da diferença.
Psicologia e Direitos das Crianças e dos Adolescentes na Assistência Social
Authors: Macêdo Orlando Júnior Viana , Alberto Maria de Fátima Pereira
Published: May 2019

O presente artigo objetiva analisar a atuação dos psicólogos na Política Nacional de Assistência Social (PNAS) para garantir os direitos de crianças e dos adolescentes. Participaram deste estudo seis gestores da Política Nacional de Assistência Social e onze profissionais de Psicologia. Para analisar as entrevistas dos gestores, recorreu-se à análise de conteúdo e para analisar os dados oriundos das entrevistas com os profissionais de Psicologia, ao software Alceste. Dados empíricos revelaram, por parte dos gestores, uma concepção de que é papel da Psicologia uma atuação na Proteção Social Básica fundamentada em tecnologias oriundas de um modelo clínico individualizante; enquanto que, na Proteção Social Especial, é seu papel uma atuação pautada numa perspectiva psicossocial. A partir das falas dos profissionais de Psicologia, percebeu-se que, em sua atuação, eles se deparam com vários aspectos da Política Nacional de Assistência Social que limitam sua atuação profissional, a saber: despreparo dos gestores e dos outros técnicos; pouco envolvimento de alguns profissionais; e desarticulação da rede de assistência social. Os participantes do estudo destacam questões técnicas da atuação, ocultando a dimensão política, o que pode comprometer a contribuição da Psicologia na efetivação dos direitos das crianças e dos adolescentes.
Modos de Ser e Trabalhar de Caminhoneira: Estratégia de Viver a Vida
Authors: Boff Daiane , Melz Rodrigo Luís , Grisci Carmem Ligia Iochins
Published: May 2019

O estudo destaca a estratégia de viver a vida de caminhoneira, suportado nas noções de trabalho imaterial e vida líquida. Caminhoneiras atuantes no transporte rodoviário de cargas de longo percurso e duração participaram da pesquisa exploratória por meio de entrevistas semiestruturadas. A análise do conteúdo apontou que a caminhoneira desempenha atividades que se aproximam da noção de trabalho imaterial e possibilitou estender a noção de estratégia tomada de Bauman à vida cotidiana. Seu dia a dia remete à vida líquida; remete à indistinção entre tempo/espaço de trabalho e vida; ao percurso e cenário que extrapolam a boleia; aos elementos culturais associados à estrada. Entre truques e traquejos, a estratégia de viver a vida concentra-se em reinícios indolores que demandam manter o jogo curto e o itinerário minimamente reconhecível. Para prosseguir na profissão, em perspectiva gradiente, a caminhoneira contempla facetas do turista, andarilho e jogador, conforme metáforas apresentadas por Bauman.
Hoe structureren burgers hun opvattingen over culturele vraagstukken? Stelsels van culturele opvattingen onder aanhangers van populistisch radicaal-rechtse partijen
Authors: Daenekindt Stijn , de Koster Willem , van der Waal Jeroen
Published: May 2019

Social scientists generally agree that all individuals structure their cultural attitudes in the same unidimensional fashion. However, various populist radical right parties remarkably combine moral progressiveness with conservatism regarding immigration-related issues. This suggests that the structuring of cultural attitudes among the electorate may also be more complex than typically assumed. Applying Correlational Class Analysis to representative survey data, we uncover three cultural belief systems. For individuals adhering to an integrated one, all cultural attitudes are interdependent, as typically assumed. However, we also uncover two alternative belief systems: intermediate and partitioned. In the latter, positions on one cultural attitude (e.g., ethnocentrism) are barely related to positions on others (e.g., rejecting Islam or opposing homosexuality). The existence of multiple cultural belief systems challenges the widely-held assumption that all people organize their cultural attitudes similarly. Both political party agenda’s and individuals’ education level and religion appear key to understanding variation in belief systems.
Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations
Authors: Georgoulias Aristeidis K. , van der A Ronald J. , Stammes Piet , Boersma K. Folkert , Eskes Henk J.
Published: May 2019

Abstract. In this work, a ∼21-year global dataset
from four different satellite sensors with a mid-morning overpass
(GOME/ERS-2, SCIAMACHY/ENVISAT, GOME-2/Metop-A, and GOME-2/Metop-B) is
compiled to study the long-term tropospheric NO2 patterns and trends.
The Global Ozone Monitoring Experiment (GOME) and GOME-2 data are “corrected” relative to the SCanning Imaging Absorption spectroMeter for
Atmospheric CHartographY (SCIAMACHY) data to
produce a self-consistent dataset that covers the period April 1996–September 2017. The
highest tropospheric NO2 concentrations are seen over urban,
industrialized, and highly populated areas and over ship tracks in the
oceans. Tropospheric NO2 has generally decreased during the last 2 decades over the industrialized and highly populated regions of the western world (a total decrease of the order of ∼49 % over the
US, the Netherlands, and the UK; ∼36 % over Italy and
Japan; and ∼32 % over Germany and France) and increased over
developing regions (a total increase of ∼160 % over China
and ∼33 % over India). It is suggested here that linear
trends cannot be used efficiently worldwide for such long periods.
Tropospheric NO2 is very sensitive to socioeconomic changes (e.g., environmental
protection policies, economic recession, warfare, etc.) which
may cause either short-term changes or even a reversal of the trends. The
application of a method capable of detecting the year when a reversal of
trends happened shows that tropospheric NO2 concentrations switched
from positive to negative trends and vice versa over several regions around
the globe. A country-level analysis revealed clusters of countries that
exhibit similar positive-to-negative or negative-to-positive trend reversals,
while 29 out of a total of 64 examined megacities and large urban
agglomerations experienced a trend reversal at some point within the last
2 decades.
A portable dual-smog-chamber system for atmospheric aerosol field studies
Authors: Kaltsonoudis Christos , Jorga Spiro D. , Louvaris Evangelos , Florou Kalliopi , Pandis Spyros N.
Published: May 2019

Abstract. Smog chamber experiments using ambient air as a starting point can improve
our understanding of the evolution of atmospheric particulate matter at
timescales longer than those achieved by traditional laboratory experiments.
These types of studies can take place under more realistic environmental
conditions addressing the interactions among multiple pollutants. The use of
two identical smog chambers, with the first serving as the baseline chamber
and the second as the perturbation chamber (in which addition or removal of
pollutants, addition of oxidants, change in the relative humidity, etc.),
can facilitate the interpretation of the results in such inherently complex
experiments. The differences of the measurements in the two chambers can be
used as the basis for the analysis of the corresponding chemical or physical
processes of ambient air. A portable dual-smog-chamber system was developed using two identical
pillow-shaped smog chambers (1.5 m3 each). The two chambers are
surrounded by UV lamps in a hexagonal arrangement yielding a total
JNO2 of 0.1 min−1. The system can be easily disassembled and
transported, enabling the study of various atmospheric environments.
Moreover, it can be used with natural sunlight. The results of test
experiments using ambient air as the starting point are discussed as examples of
applications of this system.
No S.C.A.R.E. Protocol: A Streamlined Safety Protocol
Authors: Jenkins Tyler James , Snowden Ryan D. , Smucker Joseph , Hsu Wellington K. , Riew K. Dan , Sasso Rick C.
Published: May 2019

Introduction:

Despite the proven success of anterior cervical surgery (ACS) postoperative issues can arise, with retropharyngeal hematoma (RH) being one of the most feared. A recent USA Today article highlighted the failed management and subsequent death of patients developing RH after ACS. The article calls into question the safety of performing ACS in an outpatient setting.

Methods:

We tested the knowledge of 20 healthcare professionals (4 surgeons, 16 ancillary providers) regarding ways to minimize the post-ACS complications. We used a multiple-choice and fill-in-the-blank test. We then developed a No S.C.A.R.E. safety protocol and after teaching the same professionals, re-administered the examination to assess improvement.

Results:

We identified large gaps in knowledge between spine surgeons and other providers (92.3% versus 31.2%) on preintervention testing. Postintervention testing showed significant improvement in nonsurgeon scores (31.2% to 86.1%, P < 0.01). Improvement was also seen in provider confidence after completion of the education module.

Conclusion:

Previous studies demonstrate that the incidence of RH necessitating evacuation after ACS is extremely small (<1%). For rare complications, healthcare teams may benefit from educational modules and standardized protocols. After implementation of our No S.C.A.R.E. protocol, provider knowledge and confidence markedly improved. We recommend similar education modules and protocols be used at other institutions performing ACS.
Presentación
Authors: Fuentes Codera Maximiliano
Published: May 2019

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Revisores 2013 y 2014
Authors: Revista Editor
Published: May 2019

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Complicity and Responsibility in the Aftermath of the Pinochet Regime: The Case of "El Mocito"
Authors: Lazzara Michael J.
Published: May 2019

Forty years after the Pinochet regime, the theme of civilian complicity is just beginning to be discussed publicly in Chile. This lecture will emphasize the importance of this little-discussed topic by examining the case of Jorgelino Vergara, known in Chile as El Mocito, a man who as an adolescent served coffee to the ex-head of Pinochet’s secret police, General Manuel Contreras, and carried out other horrifying tasks in the torture center located at number 8800 Simón Bolívar Street. Accused in 2007 of killing well-known Communist leader Víctor Díaz, Vergara emerged from a clandestine life and testified in court to clear his own name. Thanks to his testimony, 74 former secret police agents were convicted and the remains of three disappeared militants were found. Despite these positive developments, Vergara’s truth has had limits. How does the accomplice construct his truth? How does society approach and frame the truth of the accomplice? To answer these questions, this talk will compare representations of El Mocito in film, print journalism, and on television. What political and ethical questions arise from these very different framings of complicity?