The Peculiarities of Functioning of the Infrastructure in the Russian Big Cities (Study in Sterlitamak

Directory of Open Access Journals (Sweden)

E V Frolova

2012-06-01

Full Text Available The development of the infrastructure in modern municipal entities is one of the most pressing problems of the Russian state. This article focuses on the analysis of the results of researches, which describe the characteristics of the infrastructure in big cities of Russia. The poor condition of urban roads, poor quality of health services, inefficient functioning of the culture and leisure complex - these problems are very important today for the population of big cities.

THE FUTURE OF AFRICAN CITIES

Directory of Open Access Journals (Sweden)

Muhammad al Najib Brimah

2008-07-01

Full Text Available Too much time is spent nowadays analyzing the symptoms of urban problems in Africa, without looking at the root causes of those problems. This paper addresses the future of African cities from an African perspective. Urbanization in the context of the west is an aberration because its roots are found in the industrial development of the west. When an African speaks his native tongue, the whole street becomes his neighborhood plaza, playground and the market, even though the western method of planning did not make provision for this. When he speaks the foreign colonial language he only sees the street and not the plaza, the playground, the market or the rest of the neighborhood. From a purely ecological perspective, shanties and their inhabitants are a good example of the new, green urban metabolism. Despite their sanitary and security failings, they often have a social vibrancy and ecological systems that get lost in most planned urban environments.

76 FR 38013 - Safety Zone; Big Sioux River From the Military Road Bridge North Sioux City to the Confluence of...

Science.gov (United States)

2011-06-29

...-AA00 Safety Zone; Big Sioux River From the Military Road Bridge North Sioux City to the Confluence of... Military Road Bridge in North Sioux City, South Dakota to the confluence of the Missouri River and... Big Sioux River from the Military Road Bridge in North Sioux City, SD at 42.52 degrees North, 096.48...

Assessing sanitary mixtures in East African cities

NARCIS (Netherlands)

Letema, S.C.

2012-01-01

The urbanisation of poverty and informality in East African cities poses a threat to environmental
health, perpetuates social exclusion and inequalities, and creates service gaps (UN-Habitat, 2008).
This makes conventional sanitation provision untenable citywide, giving rise to the

A profile of informal traders in four South African city central ...

African Journals Online (AJOL)

The situation in South African cities is no exception as the unemployment rate ... 1. INTRODUCTION. In developing countries, state resources and formal employment opportunities .... like labour-force surveys in resource- constrained African ...

Mapping Criminal Governance in African Cities | IDRC ...

International Development Research Centre (IDRC) Digital Library (Canada)

Mapping Criminal Governance in African Cities. This grant will allow the Institute for Security Studies (ISS), through its Organized Crime and Money Laundering Programme (OCML), to explore the causal links between weak state authority and the emergence of criminal governance ... Profile of crime markets in Dakar.

Managing Water for African Cities Johannesburg City Implementation Plan Environmental Component Appraisal Report

OpenAIRE

Damhaug, T.

2000-01-01

Årsliste 2000 This is an appraisal of the environmental component of the Johannesburg City Implementation Plan under the Habitat guided programme "Managing Water for African Cities". The objective of this appraisal was to ensure the conformity of the plan with the objectives of the Regional Project and South Africa's needs and to explore the availability of domestic resources (human, institutional, and financial) required for efficient project implementation. The environmental component wi...

Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

Directory of Open Access Journals (Sweden)

Rubén Pérez-Chacón

2018-03-01

Full Text Available New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent years, which can be used to extract consumption patterns for the purposes of energy and monetary savings. For this reason, new approaches and strategies are needed to analyze information in big data environments. This paper proposes a methodology to extract electric energy consumption patterns in big data time series, so that very valuable conclusions can be made for managers and governments. The methodology is based on the study of four clustering validity indices in their parallelized versions along with the application of a clustering technique. In particular, this work uses a voting system to choose an optimal number of clusters from the results of the indices, as well as the application of the distributed version of the k-means algorithm included in Apache Spark’s Machine Learning Library. The results, using electricity consumption for the years 2011–2017 for eight buildings of a public university, are presented and discussed. In addition, the performance of the proposed methodology is evaluated using synthetic big data, which cab represent thousands of buildings in a smart city. Finally, policies derived from the patterns discovered are proposed to optimize energy usage across the university campus.

Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance

Directory of Open Access Journals (Sweden)

Matthew Zook

2017-05-01

Full Text Available Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data (particularly derived from social media is applied uncritically to urban governance via the ideas and practices of “smart cities”. This essay reviews both the historical depth of central ideas within smart city governance —particular the idea that enough data/information/knowledge can solve society problems—but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning behind the goal of urban betterment is largely driven by technology advocates and neoliberalism rather than the strong social justice themes associated with earlier applications of data to cities. Geosocial media data and metrics derived from them can provide useful insight and policy direction. But one must be ever mindful that metrics don’t simply measure; in the process of deciding what is important and possible to measure, these data are simultaneously defining what cities are.

[Imitative urbanisation and the outward growth of African cities].

Science.gov (United States)

Badibanga, A

1985-01-01

The city with its modern infrastructure and surrounding squatter settlements is exogenous to Africa because of its organization, location, and original functions. Cities were founded in the colonial era and still are not often situated in the center of national territories but rather near a port, a border, or a source of raw materials. A primary purpose of cities was the exogenous 1 of providing a link between land and sea, raw materials and distant markets. The city of the natives was haphazardly constructed at the periphery of the European city. The barrier it once provided between African and colonist now serves to separate mass and elite. Shanty towns, 1 of the worst urban plagues and the most perfect reflection of the absolute poverty of some parts of African cities, seem to surge spontaneously in the immediate outskirts of cities. Neither their size nor their rapid growth was foreseen by urban planners. Urban overpopulation due to rapid natural increase and immigration resulting from the excessive openness to the exterior is the major problem of African urbanization in the late 20th century. According to the UN Food and Agriculture Organization (FAO), the population of cities with 5000 or more inhabitants increased from 23 million in 1960 to 75 million in 1980. Urbanization is increasing in Africa at the rate of 10%/year. Among the many causes of this dizzying urban growth, the rural exodus is 1 of the most important and itself is caused by a multitude of economic, social, and political factors. The principal economic cause is the difficulty of earning cash in the countryside and the presumed availability of employment in cities. Natural and geographic factors such as alternating rainy and dry seasons and serious droughts also favor abandonment of the countryside, at least temporarily. Famine resulting from food deficits caused by the disturbed equilibrium between population and resources and the diversion of arable lands to cash crops also favors massive

THE SUBSTANTIATION OF THE FUNCTIONAL TRANSMISSION EXPIDIENCY OF THE BIG CITIES TERRITORIES

Directory of Open Access Journals (Sweden)

KOVALІOV V. V.

2017-04-01

Full Text Available Raising of problem. When planning the further development of big cities, an unequivocal choice is made in favor of the principle of gradual consolidation and development based on existing conditions; priorities in this case are «filling» the building, as well as the transformation of existing abandoned areas of «brownfield» and their reuse. Purpose of the aricle. An analysis of the reasons for the need to reconstruct the urban environment, and the identification of possible directions for such reconstruction using the example of industrial areas of big cities. Conclusion. Given the current trends in the polyfunctionalization of urban areas, based on a systematic approach to assessing the conditions for the deployment of industrial enterprises, determining the effectiveness of their operation and calculating the efficiency of the use of the territory, a decision should be made on the expediency of the functional re-development of such territories.

Endotypes of difficult-to-control asthma in inner-city African American children.

Directory of Open Access Journals (Sweden)

K R Brown

Full Text Available African Americans have higher rates of asthma prevalence, morbidity, and mortality in comparison with other racial groups. We sought to characterize endotypes of childhood asthma severity in African American patients in an inner-city pediatric asthma population. Baseline blood neutrophils, blood eosinophils, and 38 serum cytokine levels were measured in a sample of 235 asthmatic children (6-17 years enrolled in the NIAID (National Institute of Allergy and Infectious Diseases-sponsored Asthma Phenotypes in the Inner City (APIC study (ICAC (Inner City Asthma Consortium-19. Cytokines were quantified using a MILLIPLEX panel and analyzed on a Luminex analyzer. Patients were classified as Easy-to-Control or Difficult-to-Control based on the required dose of controller medications over one year of prospective management. A multivariate variable selection procedure was used to select cytokines associated with Difficult-to-Control versus Easy-to-Control asthma, adjusting for age, sex, blood eosinophils, and blood neutrophils. In inner-city African American children, 12 cytokines were significant predictors of Difficult-to-Control asthma (n = 235. CXCL-1, IL-5, IL-8, and IL-17A were positively associated with Difficult-to-Control asthma, while IL-4 and IL-13 were positively associated with Easy-to-Control asthma. Using likelihood ratio testing, it was observed that in addition to blood eosinophils and neutrophils, serum cytokines improved the fit of the model. In an inner-city pediatric population, serum cytokines significantly contributed to the definition of Difficult-to-Control asthma endotypes in African American children. Mixed responses characterized by TH2 (IL-5 and TH17-associated cytokines were associated with Difficult-to-Control asthma. Collectively, these data may contribute to risk stratification of Difficult-to-Control asthma in the African American population.

Diffuse solar radiation estimation models for Turkey's big cities

International Nuclear Information System (INIS)

Ulgen, Koray; Hepbasli, Arif

2009-01-01

A reasonably accurate knowledge of the availability of the solar resource at any place is required by solar engineers, architects, agriculturists, and hydrologists in many applications of solar energy such as solar furnaces, concentrating collectors, and interior illumination of buildings. For this purpose, in the past, various empirical models (or correlations) have been developed in order to estimate the solar radiation around the world. This study deals with diffuse solar radiation estimation models along with statistical test methods used to statistically evaluate their performance. Models used to predict monthly average daily values of diffuse solar radiation are classified in four groups as follows: (i) From the diffuse fraction or cloudness index, function of the clearness index, (ii) From the diffuse fraction or cloudness index, function of the relative sunshine duration or sunshine fraction, (iii) From the diffuse coefficient, function of the clearness index, and (iv) From the diffuse coefficient, function of the relative sunshine duration or sunshine fraction. Empirical correlations are also developed to establish a relationship between the monthly average daily diffuse fraction or cloudness index (K d ) and monthly average daily diffuse coefficient (K dd ) with the monthly average daily clearness index (K T ) and monthly average daily sunshine fraction (S/S o ) for the three big cities by population in Turkey (Istanbul, Ankara and Izmir). Although the global solar radiation on a horizontal surface and sunshine duration has been measured by the Turkish State Meteorological Service (STMS) over all country since 1964, the diffuse solar radiation has not been measured. The eight new models for estimating the monthly average daily diffuse solar radiation on a horizontal surface in three big cites are validated, and thus, the most accurate model is selected for guiding future projects. The new models are then compared with the 32 models available in the

The African novel and the city: a reading of Zaynab Alkali's The ...

African Journals Online (AJOL)

This paper has explored the African novel in the light of the influence of city life to it. Zaynab Alkali's The Initiates was examined with a close look at how the city has influenced characters and happenings in the novel. The paper revealed that the city as presented by Alkali in The Initiates is corrupt and morally bankrupt.

Urbanising Big

DEFF Research Database (Denmark)

Ljungwall, Christer

2013-01-01

Development in China raises the question of how big a city can become, and at the same time be sustainable, writes Christer Ljungwall of the Swedish Agency for Growth Policy Analysis.......Development in China raises the question of how big a city can become, and at the same time be sustainable, writes Christer Ljungwall of the Swedish Agency for Growth Policy Analysis....

Urban transformations, migration and residential mobility patterns in African secondary cities

DEFF Research Database (Denmark)

Andreasen, Manja Hoppe; Agergaard, Jytte; Robert, Kiunsi

2017-01-01

Urban growth is a significant trend in Africa. Scholarly attention and urban planning efforts have focused disproportionately on the challenges of big cities, while small and medium-sized urban settlements are growing most rapidly and house the majority of urban residents. Small towns have received...

Anthropogenic Heat Flux in South African Cities: Initial estimates from the LUCY model

CSIR Research Space (South Africa)

Padayachi, Yerdashin R

2016-10-01

Full Text Available The anthropogenic heat fluxes (AHF) from buildings, transport and people are an essential component of the urban climate within cities. Presently limited information on the AHF in South African cities exists. This study quantifies the AHF in South...

Airborne psychotropic substances in eight Italian big cities: Burdens and behaviours

International Nuclear Information System (INIS)

Cecinato, Angelo; Balducci, Catia; Romagnoli, Paola; Perilli, Mattia

2012-01-01

Psychotropic substances were monitored in eight big cities of Italy over one year, starting in May 2010, in the frame of the Ariadrugs Project. Yearly average concentrations ranged from 0.02 ± 0.01 to 0.26 ± 0.11 ng/m 3 for cocaine, from 0.05 ± 0.05 to 0.96 ± 1.37 ng/m 3 for cannabinoids, from 16 ± 6 to 61 ± 28 ng/m 3 for nicotine, and from 1.0 ± 0.8 to 8 ± 7 ng/m 3 for caffeine. Palermo and Turin were the cities suffering the lowest and the highest psychotropic substance concentrations, respectively. Nicotine and cocaine exhibited trends less seasonally modulated than common air toxicants. Caffeine and cannabinoids peaked in winter dropping close to zero from May to August. In Rome, where various anthropic contours were investigated in February 2011, differences were observed both in net concentrations and ratios of psychotropic substances vs. regulated toxicants. Ambient drugs look as a consequence of addiction and their burdens give insights about the corresponding consumes. - Highlights: ► Psychotropic substances (PSs) were monitored in eight big Italian cities over one year. ► The site-to-site and year time modulations of PSs were investigated. ► The PSs contents in the air were plotted vs. air toxicants (O 3 , NO 2 , PM 10 , PAHs). ► The relationships among drug modulations and meteo-climatic variables were studied. ► The results were compared to those of previous investigations. - Both licit and illicit psychotropic substances modulate in space and time along Italy, resulting influenced by both the environmental and human contours.

TRESCIMO: European Union and South African smart city contextual dimension

CSIR Research Space (South Africa)

Coetzee, L

2015-12-01

Full Text Available the question is raised if insights into a South African Smart City can strengthen European initiatives. A need for inter-continental automated testing facilities such as those developed by TRESCIMO is identified through which integrated experiments can...

Data, BigData and smart cities. Considerations and case study on environmental monitoring

Directory of Open Access Journals (Sweden)

Giacomo Chiesa

2014-10-01

Full Text Available The growing interest in technologies and strategies for constructing smart cities and smart buildings promotes the spread of ICT solutions which often use large amounts of data. Nowadays, urban monitoring are often interrelated with the innovations introduced by BigData and the neologism “datization”, passing from the collection of a limited number of datapoints to the accumulation of as much data as possible, regardless of their future uses. The paper focuses on the production phase of data from the monitoring of environmental variables by using several measurement stations spread on the territory. The aim is to identify operational problems and possible solutions for a bottom-up construction of BigData datasets.

Big men playing football: Money, politics and foul play in the African game

OpenAIRE

Pannenborg, A.R.C.

2012-01-01

While the skills of players can be observed on pitches throughout Africa, the actions of those who run the game's administrative side are less visible. Based on anthropological fieldwork in Ghana and Cameroon, this study's main characters are rich and powerful men who take up positions within clubs and football associations. Through their involvement in football, these African "Big Men" convert symbolic, social and economic capital. In other words, they transform the game's popularity into st...

The concrete jungle: city stress and substance abuse among young adult African American men.

Science.gov (United States)

Seth, Puja; Murray, Colleen C; Braxton, Nikia D; DiClemente, Ralph J

2013-04-01

Substance use is prevalent among African American men living in urban communities. The impact of substance use on the social, psychological, and physical health of African American men has important public health implications for families, communities, and society. Given the adverse consequences of alcohol and drug abuse within communities of color, this study evaluated the relationship between city stress, alcohol consumption, and drug use among African American men. Eighty heterosexual, African American men, 18 to 29 years old, completed psychosocial risk assessments that assessed substance use and city stress. Multiple logistic regression analyses, controlling for age, indicated that participants reporting high levels of urban stress, relative to low levels of urban stress, were more likely to report a history of marijuana use (AOR = 5.19, p = .05), history of ecstasy and/or GHB use (AOR = 3.34, p = .04), having family/friends expressing strong concerns about their illicit drug use (AOR = 4.06, p = .02), and being unable to remember what happened the night before due to drinking (AOR = 4.98, p = .01). African American men living within the confines of a stressful urban environment are at increased risk for exposure to and utilization of illicit substances. Culturally competent public health interventions for substance use/abuse should address psychological factors, such as stress and neighborhood violence.

Medium- and long-term electric power demand forecasting based on the big data of smart city

Science.gov (United States)

Wei, Zhanmeng; Li, Xiyuan; Li, Xizhong; Hu, Qinghe; Zhang, Haiyang; Cui, Pengjie

2017-08-01

Based on the smart city, this paper proposed a new electric power demand forecasting model, which integrates external data such as meteorological information, geographic information, population information, enterprise information and economic information into the big database, and uses an improved algorithm to analyse the electric power demand and provide decision support for decision makers. The data mining technology is used to synthesize kinds of information, and the information of electric power customers is analysed optimally. The scientific forecasting is made based on the trend of electricity demand, and a smart city in north-eastern China is taken as a sample.

Spatial change as drivers of risk and vulnerability in South African cities: Spatial trends in the three metropolitan cities of Gauteng

CSIR Research Space (South Africa)

Pieterse, Amy

2016-07-01

Full Text Available Since 1994 the South African urban landscape has been changing as a result of fundamental social, economic and political transformations. Metropolitan cities, especially, face unique challenges because of the dynamism of urban populations. South...

Potential impacts of climate change on extreme precipitation over four African coastal cities

CSIR Research Space (South Africa)

Abiodun, BJ

2017-08-01

Full Text Available This study examines the impacts of climate change on characteristics of extreme precipitation events over four African coastal cities (Cape Town, Maputo, Lagos and Port Said) under two future climate scenarios (RCP4.5 and RCP8.5). Fourteen indices...

Bidirectional Relationships Between Parenting Processes and Deviance in a Sample of Inner-City African American Youth

Science.gov (United States)

Harris, Charlene; Vazsonyi, Alexander T.; Bolland, John M.

2016-01-01

The current study assessed for bidirectional relationships among supportive parenting (knowledge), negative parenting (permissiveness), and deviance in a sample (N = 5,325) of poor, inner-city African American youth from the Mobile Youth Survey (MYS) over 4 years. Cross-lagged path analysis provided evidence of significant bidirectional paths among parenting processes (knowledge and permissiveness) and deviance over time. Follow-up multigroup tests provided only modest evidence of dissimilar relationships by sex and by developmental periods. The findings improve our understanding of developmental changes between parenting behaviors and deviance during adolescence and extended current research of the bidirectionality of parent and child relationships among inner-city African American youth. PMID:28316460

Urban settlements' vulnerability to flood risks in African cities: A conceptual framework

Directory of Open Access Journals (Sweden)

Rafiu O. Salami

2017-02-01

Full Text Available In the recent past, the frequency and gravity of large-scale flood disasters have increased globally, resulting in casualties, destruction of property and huge economic loss. The destructive flood disaster devastating Louisiana, USA, is a recent example. Despite the availability of advanced technological capabilities for dealing with floods in developed nations, flood disasters continue to become more rampant and disastrous. Developing countries in Africa such as Benin, Ghana, Nigeria, Senegal and Sudan have recently experienced severe flooding, leaving a considerable number of human casualties and thousands displaced. In African cities, most vulnerable urban residents usually have lesser capacity and fewer resources to recover from the shocks of disaster as a result of the failure of governments to build human security for poor African residents. Many scholars have acknowledged the lack of appropriate vulnerability assessment frameworks and policies, questioning the efficiency and effectiveness of the tested models in Africa. The ability to accurately identify, measure and evaluate the various vulnerabilities of affected people and communities is a right step towards reducing disaster risk. This article aimed at developing a framework for assessing urban settlements’ vulnerability to flood risks in Africa. The framework is currently being tested to assess various dimensions of vulnerability drivers in three urban communities in Ibadan metropolis, the third largest city in Nigeria, focusing more on flood risk perceptions and behaviour of the risk bearers. It uses participatory and mixed method approaches to socially construct vulnerability of populations at risk. This model emanates from the evaluation of considerable relevant literature and an array of vulnerability assessment frameworks. It integrates some approaches that are applicable to African cities in a bid to create a versatile tool to assess, identify and mitigate the effects of

The role of households in solid waste management in East African capital cities

NARCIS (Netherlands)

Solomon, A.O.

2011-01-01

Solid Management is a concern in East African capital cities. The absence of managing solid waste is a serious problem. An ever bigger concern is the growing quantities of waste that are generatedat households level in informal settlements. In most cases proper safeguard measures are largely

Big Data for better urban life?: An exploratory study of critical urban issues in two Caribbean cities: Paramaribo (Suriname) and Port of Spain (Trinidad and Tobago)

NARCIS (Netherlands)

Pfeffer, K.; Verrest, H.; Poorthuis, A.

2015-01-01

Big Data is increasingly seen as important in studying the city. This pertains to both its methodological capacity and the societal implications it may have. In this article we draw on contemporary literature to discuss the potentials and challenges of Big Data for addressing pressing urban issues.

Distribution of Radiation Exposure from Natural Radiation in Big Cities

International Nuclear Information System (INIS)

Udiyani, P.M.; Ahmad, Yus R.

2000-01-01

The measurement of radiation exposure from the natural radiation in the big city in Java such as Jakarta, Bandung, Semarang, Yogyakarta, and Surabaya have be done. Based on radiation dose and population at the sample location, the dose collective and risk probability will be know. The maximal exposure at Yogyakarta is 0.291 mSv/year and the minimal exposure at Surabaya is 0.216 mSv/year. Collective dose at Jakarta is 1.649.526 men mSv/year; Bandung 124.844 men mSv/year; Semarang : 64.558 men mSv/year; Yogyakarta 136.188 men mSv/year; and Surabaya 145.152 men mSv/year. The person probability of radiation disease at jakarta is 16.49 person/year, Bandung is 1.24 person/year, Semarang 1.64 person/year, Yogyakarta is 1.36 person/year, and Surabaya is 1.45 person/year

Urbanisation, poverty and sexual behaviour: the tale of five African cities.

Science.gov (United States)

Greif, Meredith J; Dodoo, F Nii-Amoo; Jayaraman, Anuja

2011-01-01

The question of how urbanisation and poverty are linked in sub-Saharan Africa is an increasingly pressing one. The urban character of the HIV epidemic in sub-Saharan Africa exacerbates concern about the urbanisation - poverty relationship. Recent empirical work has linked urban poverty, and particularly slum residence, to risky sexual behaviour in Kenya's capital city, Nairobi. This paper explores the generalisability of these assertions about the relationship between urban poverty and sexual behaviour using Demographic and Health Survey data from five African cities: Accra (Ghana), Dar-es-Salaam (Tanzania), Harare (Zimbabwe), Kampala (Uganda) and Nairobi (Kenya). The study affirms that, although risky behaviour varies across the five cities, slum residents demonstrate riskier sexual behaviour compared with non-slum residents. There is earlier sexual debut, lower condom usage and more multiple sexual partners among women residing in slum households regardless of setting, suggesting a relatively uniform effect of urban poverty on sexual risk behaviour.

Urban morphological determinants of temperature regulating ecosystem services in African cities: the case of Dar es Salaam, Tanzania

Science.gov (United States)

Cavan, Gina; Lindley, Sarah; Kibassa, Deusdedit; Shemdoe, Riziki; Capuano, Paolo; De Paola, Francesco; Renner, Florian; Pauleit, Stephan

2013-04-01

Urban green structure provides important regulating ecosystem services, such as temperature and flood regulation, and thus, has the potential to increase the resilience of African cities to climate change. Green structures within urban areas are not only limited to discrete units associated with recreational parks, agricultural areas and open spaces: they also exist within zones which have other primary functions, such as church yards, along transport routes, and within residential areas. Differing characteristics of urban areas can be conceptualised and subsequently mapped through the idea of urban morphology types. Urban morphology types are classifications which combine facets of urban form and function. When mapped, UMT units provide biophysically relevant meso-scale geographical zones which can be used as the basis for understanding climate-related impacts and adaptations. For example, they support the assessment of urban temperature patterns and the temperature regulating services provided by urban green structures. There are some examples of the use of UMTs for assessing regulating ecosystem services in European cities but little similar knowledge is available in an African context. This paper outlines the concept of urban morphology types (UMTs) and how they were applied to African case study cities (Cavan et al., 2012). It then presents the methods used to understand temperature regulating ecosystem services across an example African case study city, including (i) a GIS-based assessment of urban green structures, and (ii) applying an energy balance model to estimate current and future surface temperatures under climate change projections. The assessment is carried out for Dar es Salaam, Tanzania. Existing evidence suggests increases in both mean and extreme temperatures in the city. Historical analysis of the number of hot days per year suggests a rise from a maximum of 47 days per year in the period 1961-87 to 72 days per year in 2003-2011 (Giugni et al

An Afrocentric Approach to Group Social Skills Training with Inner-City African American Adolescents.

Science.gov (United States)

Banks, Reginald; Hogue, Aaron; Liddle, Howard; Timberlake, Terri

1996-01-01

Compared the effectiveness for inner-city African-American youth (n=64) of two social-skills training curricula focusing on problem solving, anger management, and conflict resolution. Both the Afrocentric curriculum and the one that was merely culturally relevant yielded similar decreases in anger and increases in assertiveness and self-control.…

Mentoring in Schools: An Impact Study of Big Brothers Big Sisters School-Based Mentoring

Science.gov (United States)

Herrera, Carla; Grossman, Jean Baldwin; Kauh, Tina J.; McMaken, Jennifer

2011-01-01

This random assignment impact study of Big Brothers Big Sisters School-Based Mentoring involved 1,139 9- to 16-year-old students in 10 cities nationwide. Youth were randomly assigned to either a treatment group (receiving mentoring) or a control group (receiving no mentoring) and were followed for 1.5 school years. At the end of the first school…

Dating-Partner Preferences among a Group of Inner-City African-American High School Students.

Science.gov (United States)

Smith, Sherry P.

1996-01-01

Examines a set of characteristics that African American inner-city high school students may or may not value in a dating partner. A total of 80 students indicated how important they perceived certain qualities to be in a person they would like to date. The results are in contrast to the previous literature regarding dating-partner preferences…

The role of big five factors on predicting job crafting propensities amongst administrative employees in a South African tertiary institution

Directory of Open Access Journals (Sweden)

Clement Bell

2016-04-01

Full Text Available Orientation: Personality provides a foundation for understanding employee job behaviours. It determines and reflects how they respond to their work situations. There is a shortage of previous researches that have specifically dealt with the predictive role of personality on job crafting. Job crafting is also a significantly new concept in the South African work context. It has both positive and negative consequences on employee job behaviours. Research purpose: The present study investigated the role of big five factors on predicting job crafting propensities amongst administrative employees in Alice, South Africa. Motivation for the study: The present study aimed to determine the role of big five factors on predicting job crafting propensities amongst administrative employees. It was premised on previous research that the big five factors are associated with many employee job behaviours. Research approach, design and method: The present study employed a quantitative, crosssectional research design with a sample of 246 administrative employees in Alice, South Africa. A biographical questionnaire, a Big Five Inventory, and a job crafting questionnaire were used to collect data. Main findings: The findings showed that big five factors of Conscientiousness, Extraversion, Agreeableness, Openness to experience and Neuroticism play a significant role in predicting job crafting propensities. Practical implications: The present study suggests that big five factors of Conscientiousness, Extraversion, Agreeableness, Openness to experience and Neuroticism have a predictive role on job crafting behaviours. Managers of tertiary institutions can therefore consider these big five personalities to understand and predict the impacts of their job design strategies on administrative employees’ behaviours. Contribution: The contribution of the study was significant in that it contributed to research literature representing the influence of the big five factors in

City marketing: online communication plan for the city of Lisbon

OpenAIRE

Altrichter, Benjamin

2011-01-01

Mestrado em Marketing City Marketing represents marketing efforts of cities in order to attract more visitors. Today, we are confronted everyday with marketing campaigns in all different communication media promoting countries, cities or events. Cities are competing for visitors on a global scale, forcing them to adapt successful marketing strategies for gaining and retaining costumers. Yet, City Marketing still remains an unknown chapter for a big part of the general public an...

Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making

Directory of Open Access Journals (Sweden)

Bhagya Nathali Silva

2017-01-01

Full Text Available The concept of the smart city is widely favored, as it enhances the quality of life of urban citizens, involving multiple disciplines, that is, smart community, smart transportation, smart healthcare, smart parking, and many more. Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities. Therefore, in this paper, we propose a smart city framework based on Big Data analytics. The proposed framework operates on three levels: (1 data generation and acquisition level collecting heterogeneous data related to city operations, (2 data management and processing level filtering, analyzing, and storing data to make decisions and events autonomously, and (3 application level initiating execution of the events corresponding to the received decisions. In order to validate the proposed architecture, we analyze a few major types of dataset based on the proposed three-level architecture. Further, we tested authentic datasets on Hadoop ecosystem to determine the threshold and the analysis shows that the proposed architecture offers useful insights into the community development authorities to improve the existing smart city architecture.

Big data and urban governance

NARCIS (Netherlands)

Taylor, L.; Richter, C.; Gupta, J.; Pfeffer, K.; Verrest, H.; Ros-Tonen, M.

2015-01-01

This chapter examines the ways in which big data is involved in the rise of smart cities. Mobile phones, sensors and online applications produce streams of data which are used to regulate and plan the city, often in real time, but which presents challenges as to how the city’s functions are seen and

Exploring child prostitution in a major city in the West African region.

Science.gov (United States)

Hounmenou, Charles

2016-09-01

The study explored the characteristics of child prostitution in a major city in the West African region. A convenience sample of children in prostitution, specifically girls below age 18 (n=243), were recruited on 83 prostitution sites identified in Ouagadougou, the capital city of Burkina Faso. A survey instrument, consisting of 71 closed-ended question items, was used to explore various variables including profile of children in prostitution, factors of vulnerability to prostitution; prostitution practices, compensations and related issues in child prostitution. The findings show that most children in prostitution in the city were from Burkina Faso (63%) and Nigeria (30%), two countries that do not share borders. Most native respondents practiced prostitution for survival and to support their families. In contrast, all the respondents from Nigeria practiced prostitution as victims of international sex trafficking. An important finding was that 77% of the children in prostitution surveyed were educated. Among the respondents, there were similarities in the major life events that contributed to their situation of prostitution. These life events include early separation with parents, sexual abuse, foster care, and forced marriage. Implications for policy, practice and research are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Smart City trends and ambitions

NARCIS (Netherlands)

de Wijs, Lisanne; Witte, P.A.; de Klerk, Daniel; Geertman, S.C.M.

2017-01-01

Research into smart city projects and applications has been increasing in recent years (Meijer & Bolivar, 2015). The smart city concept is mostly considered from a technology-oriented perspective that stresses the usage of data technologies, big data and ICT to ‘smarten up’ cities. In contrast,

Big Data: You Are Adding to . . . and Using It

Science.gov (United States)

Makela, Carole J.

2016-01-01

"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…

Big Five Personality sebagai Prediktor Kreativitas dalam Meningkatkan Kinerja Angggota Dewan

Directory of Open Access Journals (Sweden)

Hardani Widhiastuti

2014-06-01

Full Text Available This study aimed to analyze the influence of the Big Five Personality Factors, which consists of Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness on the Creativity and its implications to the performance of City Council members of ‘S’ city within the period of 2009-2014. A total number of 36 legistators who were still active became the subjects of the research. Linear Regression Analysis of the two phases was used to analyze the collected data with SPSS 19. The results showed that for Extraversion, t valued 2,340 with sig. 0.026, for Agreeableness, t valued 2.760 with sig. 0,010 and for Conscientiousness, t valued 2,241 with sig. 0,033. Thus, all the three factors had significant and positive effect on creativity. In the two-stage regression test, the value of t was 2.431 with a sig. 0,020. In general, the Big Five Personality traits have made positive and significant effect on the creativity and performance of City Council members of the ‘S’ city. Keywords: Big Five Personality, creativity, performance, council

Making urban land markets work better in South African cities and towns: arguing the basis for access by the poor

CSIR Research Space (South Africa)

Napier, Mark

2007-05-01

Full Text Available Contemporary and historical state interventions in South African cities and towns have distorted urban land markets affecting especially the poor. This has resulted in market failure for less wealthy individuals and households in their attempts...

African Urban History: Past and Present Perspective | Fourchard ...

African Journals Online (AJOL)

History of cities in Africa is a recent field of research which interrogates – in the last two decades – the ways in which Africans shape the patterns of urbanisation and how urbanisation influences African social and cultural practices. The development of numerous case studies testifies to this new interest in African cities.

Privacy concerns in smart cities

NARCIS (Netherlands)

E.A. van Zoonen (Liesbet)

2016-01-01

textabstractIn this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring dimensions in

Firearm and nonfirearm homicide in 5 South African cities: a retrospective population-based study.

Science.gov (United States)

Matzopoulos, Richard G; Thompson, Mary Lou; Myers, Jonathan E

2014-03-01

We assessed the effectiveness of South Africa's Firearm Control Act (FCA), passed in 2000, on firearm homicide rates compared with rates of nonfirearm homicide across 5 South African cities from 2001 to 2005. We conducted a retrospective population-based study of 37 067 firearm and nonfirearm homicide cases. Generalized linear models helped estimate and compare time trends of firearm and nonfirearm homicides, adjusting for age, sex, race, day of week, city, year of death, and population size. There was a statistically significant decreasing trend regarding firearm homicides from 2001, with an adjusted year-on-year homicide rate ratio of 0.864 (95% confidence interval [CI] = 0.848, 0.880), representing a decrease of 13.6% per annum. The year-on-year decrease in nonfirearm homicide rates was also significant, but considerably lower at 0.976 (95% CI = 0.954, 0.997). Results suggest that 4585 (95% CI = 4427, 4723) lives were saved across 5 cities from 2001 to 2005 because of the FCA. Strength, timing and consistent decline suggest stricter gun control mediated by the FCA accounted for a significant decrease in homicide overall, and firearm homicide in particular, during the study period.

Risk-benefit evaluation of fish from Chinese markets: Nutrients and contaminants in 24 fish species from five big cities and related assessment for human health

Energy Technology Data Exchange (ETDEWEB)

Du, Zhen-Yu, E-mail: zdu@nifes.no [National Institute of Nutrition and Seafood Research (NIFES), N-5817 Bergen (Norway); Zhang, Jian [National Institute of Nutrition and Seafood Research (NIFES), N-5817 Bergen (Norway); Institute of Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, 100050 (China); Department of Biomedicine, University of Bergen (Norway); Wang, Chunrong; Li, Lixiang; Man, Qingqing [Institute of Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, 100050 (China); Lundebye, Anne-Katrine; Froyland, Livar [National Institute of Nutrition and Seafood Research (NIFES), N-5817 Bergen (Norway)

2012-02-01

The risks and benefits of fish from markets in Chinese cities have not previously been fully evaluated. In the present study, 24 common fish species with more than 400 individual samples were collected from markets from five big Chinese cities in 2007. The main nutrients and contaminants were measured and the risk-benefit was evaluated based on recommended nutrient intakes and risk level criteria set by relevant authorities. The comprehensive effects of nutrients and contaminants in marine oily fish were also evaluated using the data of two related human dietary intervention trials performed in dyslipidemic Chinese men and women in 2008 and 2010, respectively. The results showed that concentrations of contaminants analyzed including DDT, PCB{sub 7}, arsenic and cadmium were much lower than their corresponding maximum limits with the exception of the mercury concentration in common carp. Concentrations of POPs and n-3 LCPUFA, mainly EPA and DHA, were positively associated with the lipid content of the fish. With a daily intake of 80-100 g marine oily fish, the persistent organic pollutants in fish would not counteract the beneficial effects of n-3 LCPUFA in reducing cardiovascular disease (CVD) risk markers. Marine oily fish provided more effective protection against CVD than lean fish, particularly for the dyslipidemic populations. The risk-benefit assessment based on the present daily aquatic product intake in Chinese urban residents (44.9 and 62.3 g for the average values for all cities and big cities, respectively) indicated that fish, particularly marine oily fish, can be regularly consumed to achieve optimal nutritional benefits from n-3 LCPUFA, without causing significant contaminant-related health risks. However, the potential health threat from contaminants in fish should still be emphasized for the populations consuming large quantities of fish, particularly wild fish. - Highlights: Black-Right-Pointing-Pointer We collected 24 fish species with more than

Risk–benefit evaluation of fish from Chinese markets: Nutrients and contaminants in 24 fish species from five big cities and related assessment for human health

International Nuclear Information System (INIS)

Du, Zhen-Yu; Zhang, Jian; Wang, Chunrong; Li, Lixiang; Man, Qingqing; Lundebye, Anne-Katrine; Frøyland, Livar

2012-01-01

The risks and benefits of fish from markets in Chinese cities have not previously been fully evaluated. In the present study, 24 common fish species with more than 400 individual samples were collected from markets from five big Chinese cities in 2007. The main nutrients and contaminants were measured and the risk–benefit was evaluated based on recommended nutrient intakes and risk level criteria set by relevant authorities. The comprehensive effects of nutrients and contaminants in marine oily fish were also evaluated using the data of two related human dietary intervention trials performed in dyslipidemic Chinese men and women in 2008 and 2010, respectively. The results showed that concentrations of contaminants analyzed including DDT, PCB 7 , arsenic and cadmium were much lower than their corresponding maximum limits with the exception of the mercury concentration in common carp. Concentrations of POPs and n-3 LCPUFA, mainly EPA and DHA, were positively associated with the lipid content of the fish. With a daily intake of 80–100 g marine oily fish, the persistent organic pollutants in fish would not counteract the beneficial effects of n-3 LCPUFA in reducing cardiovascular disease (CVD) risk markers. Marine oily fish provided more effective protection against CVD than lean fish, particularly for the dyslipidemic populations. The risk–benefit assessment based on the present daily aquatic product intake in Chinese urban residents (44.9 and 62.3 g for the average values for all cities and big cities, respectively) indicated that fish, particularly marine oily fish, can be regularly consumed to achieve optimal nutritional benefits from n-3 LCPUFA, without causing significant contaminant-related health risks. However, the potential health threat from contaminants in fish should still be emphasized for the populations consuming large quantities of fish, particularly wild fish. - Highlights: ► We collected 24 fish species with more than 400 individual samples

Stroke Outreach in an Inner City Market: A Platform for Identifying African American Males for Stroke Prevention Interventions.

Science.gov (United States)

Sharrief, Anjail Zarinah; Johnson, Brenda; Urrutia, Victor Cruz

2015-01-01

There are significant racial disparities in stroke incidence and mortality. Health fairs and outreach programs can be used to increase stroke literacy, but they often fail to reach those at highest risk, including African American males. We conducted a stroke outreach and screening program at an inner city market in order to attract a high-risk group for a stroke education intervention. A modified Framingham risk tool was used to estimate stroke risk and a 10-item quiz was developed to assess stroke literacy among 80 participants. We report results of the demographic and stroke risk analyses and stroke knowledge assessment. The program attracted a majority male (70%) and African American (95%) group of participants. Self-reported hypertension (57.5%), tobacco use (40%), and diabetes (23.8%) were prevalent. Knowledge of stroke warning signs, risk factors, and appropriate action to take for stroke symptoms was not poor when compared to the literature. Stroke outreach and screening in an inner city public market may be an effective way to target a high-risk population for stroke prevention interventions. Stroke risk among participants was high despite adequate stroke knowledge.

Vertical landscraping, a big regionalism for Dubai.

Science.gov (United States)

Wilson, Matthew

2010-01-01

Dubai's ecologic and economic complications are exacerbated by six years of accelerated expansion, a fixed top-down approach to urbanism and the construction of iconic single-phase mega-projects. With recent construction delays, project cancellations and growing landscape issues, Dubai's tower typologies have been unresponsive to changing environmental, socio-cultural and economic patterns (BBC, 2009; Gillet, 2009; Lewis, 2009). In this essay, a theory of "Big Regionalism" guides an argument for an economically and ecologically linked tower typology called the Condenser. This phased "box-to-tower" typology is part of a greater Landscape Urbanist strategy called Vertical Landscraping. Within this strategy, the Condenser's role is to densify the city, facilitating the creation of ecologic voids that order the urban region. Delineating "Big Regional" principles, the Condenser provides a time-based, global-local urban growth approach that weaves Bigness into a series of urban-regional, economic and ecological relationships, builds upon the environmental performance of the city's regional architecture and planning, promotes a continuity of Dubai's urban history, and responds to its landscape issues while condensing development. These speculations permit consideration of the overlooked opportunities embedded within Dubai's mega-projects and their long-term impact on the urban morphology.

Profiling the vulnerabilities and risks of South African settlements

CSIR Research Space (South Africa)

Le Roux, Alize

2017-12-01

Full Text Available Cities, towns and settlements provide housing and livelihoods for a growing global population. Estimates indicate that in 2014, 54% of the world’s population and 40% of the population on the African continent were considered urban. African city...

Crops and Culture: Dispersal of African Millets to the Indian Subcontinent and its Cultural Consequences

Directory of Open Access Journals (Sweden)

Randi Haaland

2012-06-01

Full Text Available In this paper I will discuss the spread of African crops to the Indian subcontinent. The spread was probably related to the Indus civilizations trading network in the Indian Ocean during the late 3rd millennium BC. It was at this time African food plants, the so-called big millets were dispersed across the African savannah to the horn of Africa and further to the Indian sub-continent. The big millets were cultivated as monsoon summer crops complementing the existing barley/wheat winter crops. The African pot/porridge cuisine was added to wheat/barley oven/bread cuisine. Recent study in Nepal shows that the African crops are cultivated today on marginal agricultural land in the foothills of Himalaya. We will look at Nepal as an example of the production and consumption of African big millets. The crops are processed into porridge and beer, and this cuisine is a food tradition similar to the pot and porridge cuisine we find in sub-Saharan Africa.DOI: http://dx.doi.org/10.3126/dsaj.v5i0.6354 Dhaulagiri Journal of Sociology and Anthropology Vol. 5, 2011: 1-30

Building a Smarter University: Big Data, Innovation, and Analytics. Critical Issues in Higher Education

Science.gov (United States)

Lane, Jason E., Ed.

2014-01-01

The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at…

Prey species as possible sources of PBDE exposures for peregrine falcons (Falco peregrinus) nesting in major California cities.

Science.gov (United States)

Park, June-Soo; Fong, Alison; Chu, Vivian; Holden, Arthur; Linthicum, Janet; Hooper, Kim

2011-04-01

Our earlier findings indicate that (1) peregrine falcons (Falco peregrinus anatum Bonaparte) nesting in major California cities have among the highest polybrominated diphenyl ether (PBDE) levels in the world (max ∑PBDEs=100 ppm), and (2) Big City peregrines have higher levels and proportions of the higher-brominated congeners (hepta- to deca-BDEs) than do their Coastal counterparts. In this study we classified the prey species (n =185) from the remains of prey (feathers) at 38 peregrine nest sites over 25 years (1974-1998). We grouped the prey species into 15 categories based on diet and found distinctly different prey patterns for Big City vs. Coastal peregrines. Big City peregrines had a higher (almost three times) weight percentage intake of food waste-eating birds (e.g., rock pigeons, Columba livia) than Coastal peregrines. These differing prey patterns suggest diet as a potential source of the unusually high levels and proportions of higher-brominated PBDEs in Big City peregrines. The relative contributions of diet and dust (e.g., preening) exposure to PBDE patterns in Big City peregrines will be explored in future investigations. © Springer Science+Business Media, LLC 2010

The Evolution of a Big Idea: Why Don't We Know Anything about Africa?

Science.gov (United States)

Meyer, Michael James

2009-01-01

This article is about my experiences as a ninth grade history teacher trying to implement a "big idea" unit on ancient African history. My experiences as a first year teacher and also my experience in seeing this unit develop over three years are chronicled. I conclude that implementing a big idea strategy of instruction is possible in a…

Bridges to nowhere: hosts, migrants, and the chimera of social capital in three African cities.

Science.gov (United States)

Madhavan, Sangeetha; Landau, Loren B

2011-01-01

Interest in migrant social networks and social capital has grown substantially over the past several decades. The relationship between “host” and “migrant” communities remains central to these scholarly debates. Recently urbanized cities in Africa, which include large numbers of “native-born” or internal migrants, challenge basic presumptions about host/migrant distinctions informing many of these discussions. Using comparable survey data from Johannesburg, Maputo, and Nairobi, we examine 1) the nature of social connectedness in terms of residence and nativity characteristics; and 2) the relationship between residence and nativity characteristics and three measures of trust within and across communities. Our findings suggest that the host/migrant distinction may not be particularly revealing in African cities where domestic mobility, social fragmentation and the absence of bridging institutions result in relatively low levels of trust both within and across communities. These findings underscore the need for new concepts to study “communities of strangers” and how people strategize their social mobility in urban contexts.

the influence of the urban transport system in java on city fuel

African Journals Online (AJOL)

nick

2013-07-02

Jul 2, 2013 ... traffic jam, the use of space, environment conservation (exhaust ... road condition [9], road network patterns [4];. [10]. Data transportation system of the city and the ... cities, 4 big cities and 13 towns, not the city of. Jakarta, not ...

Water for cities

International Nuclear Information System (INIS)

Kajumulo Tibaijuka, A.

2003-01-01

Africa has entered the new Millennium with a sense of hope and renewed confidence. With widening and deepening of political reforms, economic liberalization and a strengthened civil society, an increasing number of African countries are striving towards economic recovery and sustainable development. But also Africa is a continent of paradox. Home to the world's longest river, the Nile, and the second largest freshwater lake, Lake Victoria. Africa has abundant water resources contributed by large rivers, vast stretches of wetlands and limited, but widely spread, groundwater. Yet only a limited number of countries are beneficiaries of this abundance. Fourteen African countries account for 80% of the total water available on the continent, while 12 of the countries together account for only 1% of water availability. Some 400 million people are estimated to be living in water-scarce condition today. Indeed my home country, Tanzania, claims over 40% of Africa's water resources from Lake Victoria, Lake Tanganaika and other major water bodies. Water in Africa is not only unfairly distributed by nature but, due to backward technology and underdevelopment, it remains also inadequately allocated by man. At the turn of the new Millennium, over 300 million people in Africa still do not have access to safe water. But perhaps nowhere is the challenge more complex and demanding than in the rapidly growing African cities. With an average growth rate of 5% per annum, Africa is the fastest urbanizing region in the world today. Between 1990 and 2020, in many of our life times, urban populations in Africa will rise fourfold from 138 to 500 million. The 'Water for African Cities Programme' is demonstrating, in seven African countries (Cote d'Ivoire, Ethiopia, Ghana, Kenya, Senegal, South Africa and Zambia), how to put in place an integrated urban water resource management strategy that could bring three key sectors -- urban, environment and water -- to work together. Tanzania is the

California condors spotted nesting in Big Spur | San Hose Mercury ...

African Journals Online (AJOL)

California condors spotted nesting in Big Spur. Associated Press San Hose Mercury News. Abstract. No Abstract. Vulture News Vol. 55, 2006: 59. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · AJOL African Journals Online. HOW TO USE AJOL.

Privacy concerns in smart cities

OpenAIRE

van Zoonen, Liesbet

2016-01-01

textabstractIn this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring dimensions in research about people's concerns about privacy: one dimensions represents that people perceive particular data as more personal and sensitive than others, the other dimension represents that people'...

THE CITYSCAPE IN THE CONTEMPORARY AFRIVCAN-AMERICAN URBAN NOVEL

Directory of Open Access Journals (Sweden)

Yuri Stulov

2013-10-01

Full Text Available This paper discusses the cityscape as an essential element of African American fiction. Since the time of Romanticism, the city has been regarded as the embodiment of evil forces which are alien to human nature and radiate fear and death. For decades, African-Americans have been isolated in the black ghettos of major American cities which were in many ways responsible for their personal growth or their failure. Often this failure is determined by their inability to find their bearings in a strange and alien world, which the city symbolizes. The world beyond the black ghetto is shown as brutal and terrifying, while the world inside is devoid of hope. Crime, vandalism, poverty, overcrowding, and social conflicts turn out to be the landmarks of big cities, because the people who migrate to them and make up most of their population are also the poorest and least adapted to urban life: they have lost their roots, and feel displaced in the anonymous urban society. A number of African-American novels depict protagonists who are unable to adapt to life in a big city, and end in degradation and misery. James Baldwin’s novels are among the most representative. His disordered and dislocated characters are products of the external world of the city of the machine age, and as such they are characteristic of all African-American fiction. This paper analyzes some of the recent black novels that reverberate with Baldwin’s ideas.

The Effect of Social Problem Solving Skills in the Relationship between Traumatic Stress and Moral Disengagement among Inner-City African American High School Students

Science.gov (United States)

Coker, Kendell L.; Ikpe, Uduakobong N.; Brooks, Jeannie S.; Page, Brian; Sobell, Mark B.

2014-01-01

This study examined the relationship between traumatic stress, social problem solving, and moral disengagement among African American inner-city high school students. Participants consisted of 45 (25 males and 20 females) African American students enrolled in grades 10 through 12. Mediation was assessed by testing for the indirect effect using the confidence interval derived from 10,000 bootstrapped resamples. The results revealed that social problem-solving skills have an indirect effect on the relationship between traumatic stress and moral disengagement. The findings suggest that African American youth that are negatively impacted by trauma evidence deficits in their social problem solving skills and are likely to be at an increased risk to morally disengage. Implications for culturally sensitive and trauma-based intervention programs are also provided. PMID:25071874

The Effect of Social Problem Solving Skills in the Relationship between Traumatic Stress and Moral Disengagement among Inner-City African American High School Students.

Science.gov (United States)

Coker, Kendell L; Ikpe, Uduakobong N; Brooks, Jeannie S; Page, Brian; Sobell, Mark B

2014-06-01

This study examined the relationship between traumatic stress, social problem solving, and moral disengagement among African American inner-city high school students. Participants consisted of 45 (25 males and 20 females) African American students enrolled in grades 10 through 12. Mediation was assessed by testing for the indirect effect using the confidence interval derived from 10,000 bootstrapped resamples. The results revealed that social problem-solving skills have an indirect effect on the relationship between traumatic stress and moral disengagement. The findings suggest that African American youth that are negatively impacted by trauma evidence deficits in their social problem solving skills and are likely to be at an increased risk to morally disengage. Implications for culturally sensitive and trauma-based intervention programs are also provided.

Smart Cities in Taiwan: A Perspective on Big Data Applications

OpenAIRE

Shiann Ming Wu; Tsung-chun Chen; Yenchun Jim Wu; Miltiadis Lytras

2018-01-01

In this paper, we discuss the concept of a smart city based on information and communication technology (ICT), analyze the objectives of smart city development in Taiwan, and explain the supporting technologies that make such development possible. Subsequently, we propose a hierarchical structure framework of smart city systems with levels of complexity ranging from low to high and interconnections and interactive relationships in five dimensions: the Internet of Things (IoT), cloud computing...

Use of MP3 players to increase asthma knowledge in inner-city African-American adolescents.

Science.gov (United States)

Mosnaim, Giselle S; Cohen, Marc S; Rhoads, Christopher H; Rittner, Sarah Stuart; Powell, Lynda H

2008-01-01

Low-income African-American adolescents suffer a disproportionate burden of asthma morbidity. To evaluate the ability of our intervention, the Adolescents' Disease Empowerment and Persistency Technology (ADEPT) for asthma, to increase asthma knowledge in our target population. This was a 14-week (2-week run-in and 12-week treatment) randomized, double-blind, placebo-controlled pilot study in which 28 inner-city African-American adolescents with asthma, between 10 and 18 years of age, were randomized to receive (1) celebrity asthma messages (experimental group), or (2) general health messages (control group) between music tracks on an MP3 player. The asthma messages were recorded by famous athletes, musicians, and other celebrities popular among this group of teenagers. Asthma knowledge, assessed by the ZAP Asthma Knowledge instrament, was collected pre- and post-intervention. Mean improvement in ZAP score was significantly higher in the experimental group (8.1%, SD 7.2%) than the control group (0.4%, SD 7.2%) (p = 0.05). These findings suggest that this may be an innovative and promising new approach to improving asthma outcomes in this difficult-to-reach population.

North African genetic variation of cytochrome and sulfotransferase ...

African Journals Online (AJOL)

in these genes have shown relevant ethnic differences among Sub-Saharan .... This cytochrome catalyzes a big amount of oxidative reactions of substances like ... with samples of European and African origin (because of the scarce data ...

Urban Big Data and Sustainable Development Goals: Challenges and Opportunities

Directory of Open Access Journals (Sweden)

Ali Kharrazi

2016-12-01

Full Text Available Cities are perhaps one of the most challenging and yet enabling arenas for sustainable development goals. The Sustainable Development Goals (SDGs emphasize the need to monitor each goal through objective targets and indicators based on common denominators in the ability of countries to collect and maintain relevant standardized data. While this approach is aimed at harmonizing the SDGs at the national level, it presents unique challenges and opportunities for the development of innovative urban-level metrics through big data innovations. In this article, we make the case for advancing more innovative targets and indicators relevant to the SDGs through the emergence of urban big data. We believe that urban policy-makers are faced with unique opportunities to develop, experiment, and advance big data practices relevant to sustainable development. This can be achieved by situating the application of big data innovations through developing mayoral institutions for the governance of urban big data, advancing the culture and common skill sets for applying urban big data, and investing in specialized research and education programs.

Dating Violence Perpetration and/or Victimization and Associated Sexual Risk Behaviors among a Sample of Inner-City African American and Hispanic Adolescent Females

Science.gov (United States)

Alleyne-Green, Binta; Coleman-Cowger, Victoria H.; Henry, David B.

2012-01-01

The purpose of this study is to examine the prevalence of physical and psychological dating violence victimization and perpetration reported by inner-city African American and Hispanic adolescent girls as well as associated risky sexual behaviors among this population. Participants in this study were 10th- and 11th-grade female students from seven…

On the Internet of Things, smart cities and the WHO Healthy Cities

Science.gov (United States)

2014-01-01

This article gives a brief overview of the Internet of Things (IoT) for cities, offering examples of IoT-powered 21st century smart cities, including the experience of the Spanish city of Barcelona in implementing its own IoT-driven services to improve the quality of life of its people through measures that promote an eco-friendly, sustainable environment. The potential benefits as well as the challenges associated with IoT for cities are discussed. Much of the 'big data' that are continuously generated by IoT sensors, devices, systems and services are geo-tagged or geo-located. The importance of having robust, intelligent geospatial analytics systems in place to process and make sense of such data in real time cannot therefore be overestimated. The authors argue that IoT-powered smart cities stand better chances of becoming healthier cities. The World Health Organization (WHO) Healthy Cities Network and associated national networks have hundreds of member cities around the world that could benefit from, and harness the power of, IoT to improve the health and well-being of their local populations. PMID:24669838

On the Internet of Things, smart cities and the WHO Healthy Cities.

Science.gov (United States)

Kamel Boulos, Maged N; Al-Shorbaji, Najeeb M

2014-03-27

This article gives a brief overview of the Internet of Things (IoT) for cities, offering examples of IoT-powered 21st century smart cities, including the experience of the Spanish city of Barcelona in implementing its own IoT-driven services to improve the quality of life of its people through measures that promote an eco-friendly, sustainable environment. The potential benefits as well as the challenges associated with IoT for cities are discussed. Much of the 'big data' that are continuously generated by IoT sensors, devices, systems and services are geo-tagged or geo-located. The importance of having robust, intelligent geospatial analytics systems in place to process and make sense of such data in real time cannot therefore be overestimated. The authors argue that IoT-powered smart cities stand better chances of becoming healthier cities. The World Health Organization (WHO) Healthy Cities Network and associated national networks have hundreds of member cities around the world that could benefit from, and harness the power of, IoT to improve the health and well-being of their local populations.

South African cities and Globalization

Directory of Open Access Journals (Sweden)

Céline Vacchiani-Marcuzzo

2010-09-01

Full Text Available Illustration 1 – Centre des affaires, Le CapAuteur : Céline Vacchiani-Marcuzzo.Born with colonial settlement patterns, the South-African urban system has experienced half a century of Apartheid. Under the effects of globalization, this urban system evolves as more developed urban systems and mature settlement patterns. This urbanization process (in the limits of functional urban agglomeration makes South Africa one of the most advanced countries in Africa in terms of urban growth. The world-...

Does activity fulfil aspiration? a contextual comparison of smart city applications in practice

NARCIS (Netherlands)

de Wijs, Lisanne; Witte, Patrick; de Klerk, Daniel; Geertman, Stan

2017-01-01

Research on smart city projects and applications has been increasing in recent years (Meijer and Bolivar 2015). The smart city concept is mostly considered from a technology-oriented perspective that stresses the use of data technologies, big data and ICT to ‘smarten up’ cities. In contrast,

Increasing nutrient use efficiency through improved feeding and manure manegement in urban and peri-urban livestock units of a West African city: A scenario analysis

NARCIS (Netherlands)

Diogo, V.; Schlecht, E.; Buerkert, A.; Rufino, M.C.; Wijk, van M.T.

2013-01-01

In many African cities urban and peri-urban agriculture (UPA) plays a major role in creating jobs and contributing to food security. However, many small-scale UPA systems are characterised by excessive nutrient inputs to the livestock unit and poor handling of manure. To assess the impact of

Big data analytics turning big data into big money

CERN Document Server

Ohlhorst, Frank J

2012-01-01

Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportuni

Towards a smart learning environment for smart city governance

OpenAIRE

Hammad, R.; Ludlow, D.; Computer Science and Creative Technology; Centre for Sustainable Planning

2016-01-01

Educational services provided to various stakeholders need to be actively developed to accommodate the diversity of learning models and to get the advantages of available resources (e.g. data) in smart cities governance. Despite the substantial literature on smart cities, for Technology-Enhanced Learning (TEL) and its related domains such as learning analytics and big data, little effort has been given to the creation of connectivity to smart cities governance to meet stakeholders’ demands, e...

Who's out there? A profile of informal traders in four South African ...

African Journals Online (AJOL)

A profile of informal traders in four South African city central business districts. ... Town and Regional Planning ... By using data gathered among street traders in four major metropolitan areas of South Africa, this article seeks to provide a current profile of individuals that are involved in street trading in South African cities.

Regional variation in smoking among African Americans.

Science.gov (United States)

King, G; Polednak, A P; Bendel, R

1999-08-01

The impact of geographic region and metropolitan residence on smoking prevalence among African Americans has not been adequately examined. This study analyzed 5 years of data from the National Health Interview Survey (1990-1994) on current smoking and regional variation among 16,738 African Americans. Results. Respondents in the West had the lowest unadjusted smoking prevalence rates and Midwest residents had the highest. Current smoking was lower among African Americans living in non-central cities than in central cities even after adjusting for several sociodemographic covariates. Multivariate logistic regression analysis revealed that black women in the South were significantly less likely to be smokers compared with any other gender/region group. These findings suggest the significance of gender and regional factors such as the social history of migration, social stress and racism, exposure to tobacco advertisement, variations in cultural influences, community structures, and coping strategies in under standing African American smoking behavior. Copyright 1999 American Health Foundation and Academic Press.

Education for the Creative Cities: Awareness Raising on Urban Challenges and Biocultural Preservation

Science.gov (United States)

Mammadova, Aida

2018-01-01

Creative Cities are facing the big challenges due to the demographical, environmental and economic issues. In this study we considered to create the educational fieldworks inside the creative city and raise the awareness in youth about the importance of the biocultural preservations to sustain the city's creativity and sustainability. Our…

Big Opportunities and Big Concerns of Big Data in Education

Science.gov (United States)

Wang, Yinying

2016-01-01

Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…

Mitigating the UHI: Considerations for Southern African cities

CSIR Research Space (South Africa)

Naidoo, Sasha

2016-12-01

Full Text Available Urbanisation in South Africa is expected to increase to 71.3 % in 2030 and reach nearly 80% by 2050, with the City of Johannesburg projected to surpass the 10 million population mark and emerge as a megacity by 2030. Urbanised cities generally have...

Extracting potential bus lines of Customized City Bus Service based on public transport big data

Science.gov (United States)

Ren, Yibin; Chen, Ge; Han, Yong; Zheng, Huangcheng

2016-11-01

Customized City Bus Service (CCBS) can reduce the traffic congestion and environmental pollution that caused by the increasing in private cars, effectively. This study aims to extract the potential bus lines and each line's passenger density of CCBS by mining the public transport big data. The datasets used in this study are mainly Smart Card Data (SCD) and bus GPS data of Qingdao, China, from October 11th and November 7th 2015. Firstly, we compute the temporal-origin-destination (TOD) of passengers by mining SCD and bus GPS data. Compared with the traditional OD, TOD not only has the spatial location, but also contains the trip's boarding time. Secondly, based on the traditional DBSCAN algorithm, we put forwards an algorithm, named TOD-DBSCAN, combined with the spatial-temporal features of TOD.TOD-DBSCAN is used to cluster the TOD trajectories in peak hours of all working days. Then, we define two variables P and N to describe the possibility and passenger destiny of a potential CCBS line. P is the probability of the CCBS line. And N represents the potential passenger destiny of the line. Lastly, we visualize the potential CCBS lines extracted by our procedure on the map and analyse relationship between potential CCBS lines and the urban spatial structure.

Classroom Questioning Tendencies from the Perspective of Big Data

Science.gov (United States)

Lu, Wang; Rongxiao, Cai

2016-01-01

We are now living in an era of big data. From the perspective of data analysis of classroom questioning, the paper chooses three districts in City B that have significant differences. These are educationally developed District D, less developed District F, and developing District M. The study uses the stratified sampling method to choose from…

African Journal of AIDS Research

African Journals Online (AJOL)

... anthropology, philosophy, health communication, media, cultural studies, public ... Exploring dual disclosures for men who have sex with men in Mpumalanga, ... Book Review: AIDS and Masculinity in the African City: Privilege, Inequality, ...

Big Five Personality Sebagai Prediktor Kreativitas Dalam Meningkatkan Kinerja Angggota Dewan

OpenAIRE

Widhiastuti, Hardani

2014-01-01

This study aimed to analyze the influence of the Big Five Personality Factors, which consists of Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness on the Creativity and its implications to the performance of City Council members of ‘S' city within the period of 2009-2014. A total number of 36 legistators who were still active became the subjects of the research. Linear Regression Analysis of the two phases was used to analyze the collected data with SPSS 1...

Southern African Journal of Anaesthesia and Analgesia - Vol 24, No ...

African Journals Online (AJOL)

An evaluation of personality traits associated with job satisfaction among South African anaesthetists using the Big Five Inventory · EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. P Kisten, H Kluyts, 9-15 ...

A Science Cloud for Smart Cities Research

DEFF Research Database (Denmark)

Heller, Alfred; Liu, Xiufeng; Gianniou, Panagiota

2017-01-01

, amongst many other things, the whole lifecycle of big data management and analytics for research activities. At the Centre for IT-Intelligent Smart Energy for Cities, we have therefore been developing a flexible infrastructure, based on open sourcetechnologies. This paper presents this solution and its...

Water resilient green cities in Africa Newsletter issue 1

DEFF Research Database (Denmark)

Liu, Li; Fryd, Ole; Jensen, Marina Bergen

2014-01-01

Flood and drought brought by climate change urge world cities to develop towards resiliency. Using green infrastructure and urban landscape for flood resilience is being implemented in, among other places, Denmark. African cities are vulnerable to flood and drought, with their fast urbanization a...

Towards Geo-spatial Information Science in Big Data Era

Directory of Open Access Journals (Sweden)

LI Deren

2016-04-01

Full Text Available Since the 1990s, with the advent of worldwide information revolution and the development of internet, geospatial information science have also come of age, which pushed forward the building of digital Earth and cyber city. As we entered the 21st century, with the development and integration of global information technology and industrialization, internet of things and cloud computing came into being, human society enters into the big data era. This article covers the key features (ubiquitous, multi-dimension and dynamics, internet+networking, full automation and real-time, from sensing to recognition, crowdsourcing and VGI, and service-oriented of geospatial information science in the big data era and addresses the key technical issues (non-linear four dimensional Earth reference frame system, space based enhanced GNSS, space-air and land unified network communication techniques, on board processing techniques for multi-sources image data, smart interface service techniques for space-borne information, space based resource scheduling and network security, design and developing of a payloads based multi-functional satellite platform. That needs to be resolved to provide a new definition of geospatial information science in big data era. Based on the discussion in this paper, the author finally proposes a new definition of geospatial information science (geomatics, i.e. Geomatics is a multiple discipline science and technology which, using a systematic approach, integrates all the means for spatio-temporal data acquisition, information extraction, networked management, knowledge discovering, spatial sensing and recognition, as well as intelligent location based services of any physical objects and human activities around the earth and its environment. Starting from this new definition, geospatial information science will get much more chances and find much more tasks in big data era for generation of smart earth and smart city . Our profession

78 FR 6316 - Big Blue Wind Farm, LLC, et al.; Notice of Effectiveness of Exempt Wholesale Generator Status

Science.gov (United States)

2013-01-30

... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. EG13-1-000, et al.] Big Blue Wind Farm, LLC, et al.; Notice of Effectiveness of Exempt Wholesale Generator Status Docket Nos. Big Blue Wind Farm, LLC EG13-1-000 Calpine Bosque Energy Center, LLC EG13-2-000 Homer City Generation, L.P...

South African Cities: A Social Geography.

Science.gov (United States)

Western, John

1986-01-01

Traces the history of the development of cities in South Africa, paying special attention to the development of urban social controls. Three eras are identified: (1) mercantilism, (2) imperialism, and (3) apartheid. Concludes that enormous human costs are entailed by these attempts at social engineering. (JDH)

THE STATE OF GREEN SPACES IN KUMASI CITY (GHANA: LESSONS FOR OTHER AFRICAN CITIES

Directory of Open Access Journals (Sweden)

Collins ADJEI MENSAH

2016-12-01

Full Text Available Integrating green spaces such as parks and gardens into the physical landscape of cities has been identified to enhance the health and wellbeing of urban dwellers. This paper assesses the state of green spaces in Kumasi city (Ghana, once known as the garden city of West Africa. Using a case study approach, a mixture of qualitative research techniques were employed whilst a set of eight themes were put together to guide the assessment. In all, green spaces were found to be in poor state. With the exception of conservation and heritage theme, the remaining seven themes that were used for the assessment all found the green spaces to be in poor state. It is therefore recommended that there should be an attitudinal change towards the maintenance of green spaces, the application of a collaborative governance approach, and priority giving to green spaces in all development agendas by city authorities.

Understanding the allure of big infrastructure: Jakarta’s Great Garuda Sea Wall Project

Directory of Open Access Journals (Sweden)

Emma Colven

2017-06-01

Full Text Available In response to severe flooding in Jakarta, a consortium of Dutch firms in collaboration with the Indonesian government has designed the 'Great Garuda Sea Wall' project. The master plan proposes to construct a sea wall to enclose Jakarta Bay. A new waterfront city will be built on over 1000 hectares (ha of reclaimed land in the shape of the Garuda, Indonesia’s national symbol. By redeveloping North Jakarta, the project promises to realise the world-class city aspirations of Indonesia’s political elites. Heavily reliant on hydrological engineering, hard infrastructure and private capital, the project has been presented by proponents as the optimum way to protect the city from flooding. The project retains its allure among political elites despite not directly addressing land subsidence, understood to be a primary cause of flooding. I demonstrate how this project is driven by a techno-political network that brings together political and economic interests, world-class city discourses, engineering expertise, colonial histories, and postcolonial relations between Jakarta and the Netherlands. Due in part to this network, big infrastructure has long constituted the preferred state response to flooding in Jakarta. I thus make a case for provincialising narratives that claim we are witnessing a return to big infrastructure in water management.

Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics.

Science.gov (United States)

Kotevska, Olivera; Kusne, A Gilad; Samarov, Daniel V; Lbath, Ahmed; Battou, Abdella

2017-01-01

Today's cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. Critical resources in these smart cities will be more rapidly deployed to regions in need, and those regions predicted to have an imminent or prospective need. For example, crime data analytics may be used to optimize the distribution of police, medical, and emergency services. However, as smart city services become dependent on data, they also become susceptible to disruptions in data streams, such as data loss due to signal quality reduction or due to power loss during data collection. This paper presents a dynamic network model for improving service resilience to data loss. The network model identifies statistically significant shared temporal trends across multivariate spatiotemporal data streams and utilizes these trends to improve data prediction performance in the case of data loss. Dynamics also allow the system to respond to changes in the data streams such as the loss or addition of new information flows. The network model is demonstrated by city-based crime rates reported in Montgomery County, MD, USA. A resilient network is developed utilizing shared temporal trends between cities to provide improved crime rate prediction and robustness to data loss, compared with the use of single city-based auto-regression. A maximum improvement in performance of 7.8% for Silver Spring is found and an average improvement of 5.6% among cities with high crime rates. The model also correctly identifies all the optimal network connections, according to prediction error minimization. City-to-city distance is designated as a predictor of shared temporal trends in crime and weather is shown to be a strong predictor of crime in Montgomery County.

Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

Science.gov (United States)

Kotevska, Olivera; Kusne, A. Gilad; Samarov, Daniel V.; Lbath, Ahmed; Battou, Abdella

2017-01-01

Today’s cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. Critical resources in these smart cities will be more rapidly deployed to regions in need, and those regions predicted to have an imminent or prospective need. For example, crime data analytics may be used to optimize the distribution of police, medical, and emergency services. However, as smart city services become dependent on data, they also become susceptible to disruptions in data streams, such as data loss due to signal quality reduction or due to power loss during data collection. This paper presents a dynamic network model for improving service resilience to data loss. The network model identifies statistically significant shared temporal trends across multivariate spatiotemporal data streams and utilizes these trends to improve data prediction performance in the case of data loss. Dynamics also allow the system to respond to changes in the data streams such as the loss or addition of new information flows. The network model is demonstrated by city-based crime rates reported in Montgomery County, MD, USA. A resilient network is developed utilizing shared temporal trends between cities to provide improved crime rate prediction and robustness to data loss, compared with the use of single city-based auto-regression. A maximum improvement in performance of 7.8% for Silver Spring is found and an average improvement of 5.6% among cities with high crime rates. The model also correctly identifies all the optimal network connections, according to prediction error minimization. City-to-city distance is designated as a predictor of shared temporal trends in crime and weather is shown to be a strong predictor of crime in Montgomery County. PMID:29250476

Managing for Results in America's Great City Schools. A Report of the Performance Measurement and Benchmarking Project

Science.gov (United States)

Council of the Great City Schools, 2008

2008-01-01

This report describes statistical indicators developed by the Council of the Great City Schools and its member districts to measure big-city school performance on a range of operational functions in business, finance, human resources and technology. The report also presents data city-by-city on those indicators. This is the second time that…

[Big Data and Public Health - Results of the Working Group 1 of the Forum Future Public Health, Berlin 2016].

Science.gov (United States)

Moebus, Susanne; Kuhn, Joseph; Hoffmann, Wolfgang

2017-11-01

Big Data is a diffuse term, which can be described as an approach to linking gigantic and often unstructured data sets. Big Data is used in many corporate areas. For Public Health (PH), however, Big Data is not a well-developed topic. In this article, Big Data is explained according to the intention of use, information efficiency, prediction and clustering. Using the example of application in science, patient care, equal opportunities and smart cities, typical challenges and open questions of Big Data for PH are outlined. In addition to the inevitable use of Big Data, networking is necessary, especially with knowledge-carriers and decision-makers from politics and health care practice. © Georg Thieme Verlag KG Stuttgart · New York.

How Big Are "Martin's Big Words"? Thinking Big about the Future.

Science.gov (United States)

Gardner, Traci

"Martin's Big Words: The Life of Dr. Martin Luther King, Jr." tells of King's childhood determination to use "big words" through biographical information and quotations. In this lesson, students in grades 3 to 5 explore information on Dr. King to think about his "big" words, then they write about their own…

21st Century South African Science Fiction

Directory of Open Access Journals (Sweden)

CARAIVAN LUIZA

2014-12-01

Full Text Available The paper analyses some aspects of South African science fiction, starting with its beginnings in the 1920s and focusing on some 21st century writings. Thus Lauren Beukes’ novels Moxyland (2008 and Zoo City (2010 are taken into consideration in order to present new trends in South African literature and the way science fiction has been marked by Apartheid. The second South African science fiction writer whose writings are examined is Henrietta Rose-Innes (with her novel Nineveh, published in 2011 as this consolidates women's presence in the SF world.

Semantic web approach for dealing with administrative boundary revisions: a case study of Dhaka City

OpenAIRE

Pervin, Shiuli

2013-01-01

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies. Dhaka City is the capital of Bangladesh and boundary revisions of Dhaka city refers to the changes of Dhaka city administrative boundary or jurisdiction over time. Dhaka is growing very fast in terms of population and area. So, government is redefining city boundaries and also making big units into several parts for better city management. Now, the challenge is ...

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision

DEFF Research Database (Denmark)

Lynggaard, Per; Skouby, Knud Erik

2016-01-01

The world is entering a new era, where Internet-of-Things (IoT), smart homes, and smart cities will play an important role in meeting the so-called big challenges. In the near future, it is foreseen that the majority of the world’s population will live their lives in smart homes and in smart cities...... the “smart” vision. This paper proposes a specific solution in the form of a hierarchical layered ICT based infrastructure that handles ICT issues related to the “big challenges” and seamlessly integrates IoT, smart homes, and smart city structures into one coherent unit. To exemplify benefits......% of the wastewater energy in a smart residential building. By letting the smart city infrastructure coordinate and control the harvest time and duration, it is possible to achieve considerable energy savings in the smart homes, and it is possible to reduce the peak-load for district heating plants....

Motivators, Barriers, and Facilitators to Weight Loss and Behavior Change Among African American Adults in Baltimore City: A Qualitative Analysis.

Science.gov (United States)

Coe, William H; Redmond, Leslie; Parisi, Jeanine M; Bowie, Janice V; Liu, Elizabeth Y; Ng, Tin Yee; Onyuka, Alberta M A; Cort, Marcia; Cheskin, Lawrence J

2017-01-01

African American adults achieve smaller amounts of weight loss than their white counterparts when exposed to the same intervention and are more likely to regain weight during long-term follow-up. To identify perceived motivators, barriers, and facilitators to weight loss and behavior change among African American adults. Two focus groups were conducted between April and May 2015 at an urban community health center in Baltimore City, Maryland. A total of 13 participants took part in the discussions. Eligible participants were obese (BMI 30+) African American adults aged 21-70 who had at least one obesity-related comorbidity. Discussion questions were designed to identify the personal, social, and environmental factors that influence weight loss and behavior change among urban minority populations. Statements were first classified as a motivator, barrier, or facilitator, then divided further as a personal, social, or environmental factor influencing weight loss and behavior change. Among the findings, several novel motivators (reducing or eliminating medication, improving physical intimacy) and barriers (personal transportation, lack of access to scales) emerged that were not previously characterized in the existing literature. This study was intended to provide preliminary evidence that may be used to guide the development of innovative and culturally relevant weight-loss interventions in the future. Results are applicable to similar urban minority populations. Copyright © 2017 National Medical Association. Published by Elsevier Inc. All rights reserved.

East African Medical Journal

African Journals Online (AJOL)

Paris, France, K. C. Takarinda, BSc, MSc, International Union Against Tuberculosis and Lung ... Kenya and T. Galgalo, MSc, African Field Epidemiology Network. ... times more likely to develop active TB than those ... isoniazid preventive therapy (IPT), intensified TB case ... The capital city, where this study took place, had a.

Internet of things technologies in smart cities

CSIR Research Space (South Africa)

Dlodlo, N

2016-05-01

Full Text Available at exploiting the most advanced technologies to support value-added services for the administration of the city and its citizens (Zanella, 2014). Smart cities worldwide live under a ‘data deluge” in which big data generated by people and sensors are processed... single ticket in the form of a smart card which can be loaded with money and is swiped at any point of entry into a transport system using Near Field Communication (NFC) technology to transmit information from the card to the reading machine and back...

Big Data, Big Problems: A Healthcare Perspective.

Science.gov (United States)

Househ, Mowafa S; Aldosari, Bakheet; Alanazi, Abdullah; Kushniruk, Andre W; Borycki, Elizabeth M

2017-01-01

Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the "Holy Grail" for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers. In this paper, we review the current Big Data trends with a specific focus on the inadvertent negative impacts that Big Data could have on healthcare, in general, and specifically, as it relates to patient and clinical care. Our study results show that although Big Data is built up to be as a the "Holy Grail" for healthcare, small data techniques using traditional statistical methods are, in many cases, more accurate and can lead to more improved healthcare outcomes than Big Data methods. In sum, Big Data for healthcare may cause more problems for the healthcare industry than solutions, and in short, when it comes to the use of data in healthcare, "size isn't everything."

Managing for Results in America's Great City Schools. A Report of the Performance Measurement and Benchmarking Project, Spring 2008

Science.gov (United States)

Council of the Great City Schools, 2008

2008-01-01

This report describes statistical indicators developed by the Council of the Great City Schools and its member districts to measure big-city school performance on a range of operational functions in business, finance, human resources and technology. The report also presents data city-by-city on those indicators. This is the second time that…

Helping African cities prepare for climate change

International Development Research Centre (IDRC) Digital Library (Canada)

agenda for adaptation to climate change in Ghana and Ethiopia. Local assembly ... Computer modelling is a major component of the URAdapt project. Results of ... communities within the city are chronically flood-prone, and residents report ...

Big Surveys, Big Data Centres

Science.gov (United States)

Schade, D.

2016-06-01

Well-designed astronomical surveys are powerful and have consistently been keystones of scientific progress. The Byurakan Surveys using a Schmidt telescope with an objective prism produced a list of about 3000 UV-excess Markarian galaxies but these objects have stimulated an enormous amount of further study and appear in over 16,000 publications. The CFHT Legacy Surveys used a wide-field imager to cover thousands of square degrees and those surveys are mentioned in over 1100 publications since 2002. Both ground and space-based astronomy have been increasing their investments in survey work. Survey instrumentation strives toward fair samples and large sky coverage and therefore strives to produce massive datasets. Thus we are faced with the "big data" problem in astronomy. Survey datasets require specialized approaches to data management. Big data places additional challenging requirements for data management. If the term "big data" is defined as data collections that are too large to move then there are profound implications for the infrastructure that supports big data science. The current model of data centres is obsolete. In the era of big data the central problem is how to create architectures that effectively manage the relationship between data collections, networks, processing capabilities, and software, given the science requirements of the projects that need to be executed. A stand alone data silo cannot support big data science. I'll describe the current efforts of the Canadian community to deal with this situation and our successes and failures. I'll talk about how we are planning in the next decade to try to create a workable and adaptable solution to support big data science.

Recht voor big data, big data voor recht

NARCIS (Netherlands)

Lafarre, Anne

Big data is een niet meer weg te denken fenomeen in onze maatschappij. Het is de hype cycle voorbij en de eerste implementaties van big data-technieken worden uitgevoerd. Maar wat is nu precies big data? Wat houden de vijf V's in die vaak genoemd worden in relatie tot big data? Ter inleiding van

Livermore Big Trees Park: 1998 summary results; TOPICAL

International Nuclear Information System (INIS)

Gallegos, G; MacQueen, D; Surano, K

1999-01-01

This report summarizes work conducted in 1998 by the Lawrence Livermore National Laboratory (LLNL) to determine the extent and origin of plutonium at concentrations above background levels at Big Trees Park in the city of Livermore. This summary includes the project background and sections that explain the sampling, radiochemical and data analysis, and data interpretation. This report is a summary report only and is not intended as a rigorous technical or statistical analysis of the data

Big Five personality traits, job satisfaction and subjective wellbeing in China.

Science.gov (United States)

Zhai, Qingguo; Willis, Mike; O'Shea, Bob; Zhai, Yubo; Yang, Yuwen

2013-01-01

This paper examines the effect of the Big Five personality traits on job satisfaction and subjective wellbeing (SWB). The paper also examines the mediating role of job satisfaction on the Big Five-SWB relationship. Data were collected from a sample of 818 urban employees from five Chinese cities: Harbin, Changchun, Shenyang, Dalian, and Fushun. All the study variables were measured with well-established multi-item scales that have been validated both in English-speaking populations and in China. The study found only extraversion to have an effect on job satisfaction, suggesting that there could be cultural difference in the relationships between the Big Five and job satisfaction in China and in the West. The study found that three factors in the Big Five--extraversion, conscientiousness, and neuroticism--have an effect on SWB. This finding is similar to findings in the West, suggesting convergence in the relationship between the Big Five and SWB in different cultural contexts. The research found that only the relationship between extraversion and SWB is partially mediated by job satisfaction, implying that the effect of the Big Five on SWB is mainly direct, rather than indirect via job satisfaction. The study also found that extraversion was the strongest predictor of both job satisfaction and SWB. This finding implies that extraversion could be more important than other factors in the Big Five in predicting job satisfaction and SWB in a "high collectivism" and "high power distance" country such as China. The research findings are discussed in the Chinese cultural context. The study also offers suggestions on the directions for future research.

Nigerian literary artists and protection of African values in the ...

African Journals Online (AJOL)

Thus, theseAfrican valuesmake lifemeaningful. Presently, the trend in Africa is the pursuance of nation-building and every person's sincere effort to uplift his living standard. Consequently there has been a rapid growth of cities and urban centers to the detriment of some most cherished African values such as a large family, ...

African American Male College Athletes' Narratives on Education and Racism

Science.gov (United States)

Singer, John N.

2016-01-01

This study presents narrative case study vignettes of three elite African American male football athletes at a major historically White institution of higher education with a big-time athletics department. More specifically, I draw from critical race theory to garner insight into their secondary schooling background, what education means to them,…

Healing in Herero culture and Namibian African independent churches

Directory of Open Access Journals (Sweden)

Selaelo T. Kgatla

2015-09-01

Full Text Available The current phenomenon of Namibian African Independent Churches (NAICs draws attention from various people in civil society in Namibia. Although the ministries of NAICs are engaged with activities which are unusual for Christian churches, such as healing the people, fighting against evil spirits and power, performing certain rituals, prophesying and leading the worship services with African Traditional Religion (ATR as a frame of reference in 21st century, they do have a very big influence on various aspects of society in Namibia, which cannot be ignored. This is because those activities are familiar to the everyday lives of Africans and in touch with their culture. With regards to this, this article focuses on the causes of integration or harmony between the Herero culture and the NAICs.

Foodscape gastropolis New York City

NARCIS (Netherlands)

Valk, van der A.J.J.

2016-01-01

Men slurp banana pudding from the hips of a black-latex-clad woman lying on atable in a room filled with liquid nitrogen smoke. This is just a single episode inthe culinary life of New York City (Parasecoli, 2009). Elsewhere, a long queue ofAfrican-Americans is patiently waiting for a soup kitchen

Knowledge about Inquiry: A Study in South African High Schools

Science.gov (United States)

Gaigher, Estelle; Lederman, Norman; Lederman, Judith

2014-01-01

This paper reports a study on South African learners' knowledge about scientific inquiry using the Views About Scientific Inquiry (VASI) Questionnaire. The sample consisted of 105 grade 11 learners from 7 schools across the socio-economic spectrum in a South African city. A rubric for scoring the VASI Questionnaire was developed and refined during…

Comparison of Liveable City of Three Cities in Indonesia through Index of Happiness Data from Social Media and Urban Structure

Science.gov (United States)

Munawir; Dewancker, B. J.; Koerniawan, M. D.

2018-05-01

Social media has contributed to providing information from the users. Users can expressing and sharing their thoughts and opinions on all kinds of topics and events freely. Twitter offers organizations fast and effective way to monitor the users’ feelings towards their mood in the cities. In twitter there are the big information data that be able to download freely, this study collected data from twitter and make the classification based on users’ tweets to categorize the index of happiness of the city. The urban structure data are collected from the urban guideline development from each city. The index of happiness becomes the prosperity level paradigm of a city, it becomes a tool to assess and compare how the city is liveable. This study will analyse from the users’ tweets on a regular basis in three cities of Indonesia, to the parameters of happiness that will be compared with the urban structure development. Based on data of the index of happiness from social media can offer better information for city planners and developers that can be used to improve planning and quality of life in the city and future of urban development.

Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

Directory of Open Access Journals (Sweden)

Ivana Semanjski

2016-11-01

Full Text Available It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations.

Urban Ecology in Cape Town: South African Comparisons and Reflections

Directory of Open Access Journals (Sweden)

Sarel S. Cilliers

2012-09-01

Full Text Available Little urban ecological research has been done in South Africa. The papers in the Ecology and Society special feature Urban Ecological and Social-Ecological Research in the City of Cape Town make, therefore, an important contribution to the development of urban ecology locally and globally. Different approaches have been used in the study of urban ecology of different urban areas in South Africa. Cape Town is situated in a biodiversity hotspot and is the only South African city which includes a national park. As a result the urban ecological studies were mainly driven by urban nature conservation concerns. In other cities such as Durban, open space planning and environmental management were the major issues which focused ecological studies on urban areas whereas other studies of urban areas in the Eastern Cape and North-West provinces included private and public open spaces and man-made habitats. We reflect on the Cape Town studies in a South African context and highlight conservation of biodiversity, protection of ecosystem services, management of control measures, and the conflict between humans and nature. A brief synthesis has also been given of South African urban ecological research in general.

Climate Change Adaptation in Urban Planning in African Cities

DEFF Research Database (Denmark)

Jørgensen, Gertrud; Herslund, Lise Byskov; Lund, Dorthe Hedensted

2014-01-01

Resilience of urban structures towards impacts of a changing climate is one of the emerging tasks that cities all over the world are facing at present. Effects of climate change take many forms, depending on local climate, spatial patterns, and socioeconomic structures. Cities are only just...... beginning to be aware of the task, and some time will pass before it is integrated into mainstream urban governance. This chapter is based on work in progress. It covers urban governance and planning aspects of climate change adaptation as studied in the CLUVA project (CLimate change and Urban Vulnerability...... in Africa), as well as some experiences from Denmark. Focus is on the responses and capacities of urban authorities, strengths and weaknesses of the efforts, data needs and possible ways forward. The chapter concludes that many adaptation activities are taking place in the CLUVA case cities...

Mechanisms of Vowel Variation in African American English.

Science.gov (United States)

Holt, Yolanda Feimster

2018-02-15

This research explored mechanisms of vowel variation in African American English by comparing 2 geographically distant groups of African American and White American English speakers for participation in the African American Shift and the Southern Vowel Shift. Thirty-two male (African American: n = 16, White American controls: n = 16) lifelong residents of cities in eastern and western North Carolina produced heed,hid,heyd,head,had,hod,hawed,whod,hood,hoed,hide,howed,hoyd, and heard 3 times each in random order. Formant frequency, duration, and acoustic analyses were completed for the vowels /i, ɪ, e, ɛ, æ, ɑ, ɔ, u, ʊ, o, aɪ, aʊ, oɪ, ɝ/ produced in the listed words. African American English speakers show vowel variation. In the west, the African American English speakers are participating in the Southern Vowel Shift and hod fronting of the African American Shift. In the east, neither the African American English speakers nor their White peers are participating in the Southern Vowel Shift. The African American English speakers show limited participation in the African American Shift. The results provide evidence of regional and socio-ethnic variation in African American English in North Carolina.

Collaboration with East African security organisations

DEFF Research Database (Denmark)

Nordby, Johannes Riber; Jacobsen, Katja L.

2012-01-01

of the concept. At the same time the three organisations represent different constellations of member nations and thus different national interests, and locally they have different legitimacy and political strength. Thus, when choosing collaboration partners for a security project it is not simply a question......When it comes to understanding the concept of security and the way fragile security situations should be solved, the difference is big. While EASF – the East African Standby Force – is a regular military force with a rather traditional, military perception of the concept of security, EAC (East...... African Community) and IGAD (Intergovernmental Authority on Development) have broader perceptions of the concept. According to EAC, security also concerns matters such as policy reform, legislation, education and infrastructure. IGAD considers food security and environmental and economic issues as part...

HTLV-I in the general population of Salvador, Brazil: a city with African ethnic and sociodemographic characteristics.

Science.gov (United States)

Dourado, Inês; Alcantara, Luiz C J; Barreto, Maurício L; da Gloria Teixeira, Maria; Galvão-Castro, Bernardo

2003-12-15

The city of Salvador has the highest prevalence of HTLV-I among blood donors in Brazil. To study the prevalence of HTLV-I among the general population of Salvador, 30 "sentinel surveillance areas" were selected for the investigation of various infectious diseases, and 1385 individuals within these areas were surveyed according to a simple random sample procedure. ELISA was used to screen plasma samples for antibodies to HTLV-I, and the positive samples were tested by a confirmatory assay (Western blotting). The overall prevalence of HTLV-I was 1.76% (23/1385). Infection rates were 1.2% for males and 2.0% for females. Specific prevalence demonstrated an increasing linear trend with age. No one younger than 13 years of age was infected. Multivariate analysis estimated adjusted odds ratios for the association of HTLV-I with age of 9.7 (3.3; 30.4) for females and 12.3 (1.47; 103.1) for males. Less education and income might be associated with HTLV-I infection in females. Phylogenetic analysis of the long terminal repeat fragments showed that most of the samples belonged to the Latin American cluster of the Transcontinental subgroup (Cosmopolitan subtype). For the entire city of Salvador, it is estimated that approximately 40000 individuals are infected with HTLV-I. Our results suggest multiple post-Colombian introductions of African HTLV-Ia strains in Salvador.

Highlight: Building a strong future for African-led HIV prevention ...

International Development Research Centre (IDRC) Digital Library (Canada)

The search for an HIV vaccine is shifting from labs in North America and Europe, to include a greater number of African institutions. African researchers are leading the charge. Based in cities at the centre of the epidemic, they are familiar with the affected populations, and are best placed to conduct testing of HIV candidate ...

Factors That Influence Breastfeeding Initiation Among African American Women.

Science.gov (United States)

Hinson, Tyonne D; Skinner, Asheley Cockrell; Lich, Kristen Hassmiller; Spatz, Diane L

2018-05-01

To examine cultural and socioenvironmental factors that affect breastfeeding initiation among African American women. Qualitative descriptive design and conventional content analysis. A large, inner-city, primary care center affiliated with a 500-bed children's hospital within a large, Northeastern U.S. city. Participants were 34 U.S.-born African American mothers of healthy term infants 0 to 3 months of age. Six focus groups were conducted using a 16-question, scripted interview guide. A number of complex factors that influenced breastfeeding initiation included certain cultural beliefs about sexuality, the influence of family and peer networks, information sources, intentions, and a variety of other barriers and facilitators. Our findings suggest that the decision to initiate breastfeeding is not solely determined by the woman within the African American community. Because this decision is contingent on multiple factors external to the woman, it is important to recognize the role that partners, grandmothers, communities, information sources, and health care providers/organizations play in women's decisions. Implementation of multilevel strategies is critical to increase breastfeeding initiation among African American mothers. Copyright © 2018 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses. Published by Elsevier Inc. All rights reserved.

Factors influencing HIV-risk behaviors among HIV-positive urban African Americans.

Science.gov (United States)

Plowden, Keith O; Fletcher, Audwin; Miller, J Lawrence

2005-01-01

Urban African Americans are disproportionately affected by HIV, the virus associated with AIDS. Although incidence and mortality appear to be decreasing in some populations, they continue to remain steady among inner-city African Americans. A major concern is the number of HIV-positive individuals who continue to practice high-risk behaviors. Understanding factors that increase risks is essential for the development and implementation of effective prevention initiatives. Following a constructionist epistemology, this study used ethnography to explore social and cultural factors that influence high-risk behaviors among inner-city HIV-positive African Americans. Leininger's culture care diversity and universality theory guided the study. Individual qualitative interviews were conducted with HIV-positive African Americans in the community to explore social and cultural factors that increase HIV-risky behaviors. For this study, family/kinship, economic, and education factors played a significant role in risky behaviors. Reducing HIV disparity among African Americans is dependent on designing appropriate interventions that enhance protective factors. Clinicians providing care to HIV-positive individuals can play a key role in reducing transmission by recognizing and incorporating these factors when designing effective prevention interventions.

BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework

OpenAIRE

Zhu, Yuqing; Zhan, Jianfeng; Weng, Chuliang; Nambiar, Raghunath; Zhang, Jinchao; Chen, Xingzhen; Wang, Lei

2014-01-01

Big Data is considered proprietary asset of companies, organizations, and even nations. Turning big data into real treasure requires the support of big data systems. A variety of commercial and open source products have been unleashed for big data storage and processing. While big data users are facing the choice of which system best suits their needs, big data system developers are facing the question of how to evaluate their systems with regard to general big data processing needs. System b...

The rehabilitation of housings in traditional centers of intermediate cities of Sancti Spiritus.

Directory of Open Access Journals (Sweden)

José Camilo Valdivia Cruz

2012-03-01

Full Text Available The intermediate cities play an intermediation role between the big urban areas and the wide rural areas; of those that are influence center. Their potentiating can take to more balanced and more sustainable territorial developments; for reasons of their own scale to develop viable projects regarding the big cities. However they should solve many derived problems of their inattention in aspects like: the strategic planning, the physical and urbanistic planning and the solution of the difficulties of the housing and the habitat. In Sancti Spiritus the traditional centers of the cities of medium scale, present a high physical deterioration of their residence bottom at the moment; process that has been increased progressively with the step of the years. The loss of constructions, of values, of lodging capacity, of the local potentialities and the lack of programs toward those cities attempts against the physical preservation of those urban centers. To order a politic toward the recovery of their values of identity and their lodging capacities with integrality approaches, progressivity and sustainability is framed as possible solutions to the problem that present those places, inside the priorities of the constructive programs of the country.

How Big Is Too Big?

Science.gov (United States)

Cibes, Margaret; Greenwood, James

2016-01-01

Media Clips appears in every issue of Mathematics Teacher, offering readers contemporary, authentic applications of quantitative reasoning based on print or electronic media. This issue features "How Big is Too Big?" (Margaret Cibes and James Greenwood) in which students are asked to analyze the data and tables provided and answer a…

Deploying 5G-technologies in smart city and smart home wireless sensor networks with interferences

DEFF Research Database (Denmark)

Lynggaard, Per; Skouby, Knud Erik

2015-01-01

communication in an Internet of Things (5G) contexts. In this paper we discuss some of the key challenges that exist in the smart city and smart home networks in the light of possible 5G-solutions. Focus is on deploying cognitive radio technologies (5G) which enables the smart city networks to support......Deploying 5G technologies in a combination of smart homes and smart city opens for a new ecosystem with big potentials. The potentials lie in the creation of an advanced ICT infrastructure with support for connected and entangled services possibilities including technologies for efficient...... interconnected infrastructure elements, to handle big-data from the smart homes, and to be compatible with existing infrastructures. The considered cognitive radio technology is based on pre-coded OFDM which offers the needed flexibility to deal with the key challenges found in the smart home networks. Thus...

Assessing vulnerability of urban African communities

DEFF Research Database (Denmark)

Karlsson Nyed, Patrik; Jean-Baptiste, Nathalie; Herslund, Lise Byskov

2014-01-01

East African cities are in the process of assessing their vulnerabilities to climate change, but face difficulties in capturing the complexity of the various facets of vulnerability. This holistic approach, captures four different dimensions of vulnerability to flooding - Assets, Institutions......, Attitudes and the Physical environment, with Dar es Salaam, Tanzania, as a case city. The methodology is actively involving the expertise of the stakeholders, and uses GIS to analyze and compile the data. The final output is presented as a comprehensible map, delineating the varying vulnerability...

Role of specific geographic landscapes in city break destinations

Directory of Open Access Journals (Sweden)

Štetić Snežana

2009-01-01

Full Text Available Urban tourist destinations or City Break destinations are representing one of main destination products on tourist market. City Break destinations are big cities, administrative, economic and political centers of states and regions. These cities are 'open' 24 hours per day, seven days in week. Inside these tourist destination we can find different range of products (culture, entertainment, recreation, leisure, history, modern infrastructure. In these destinations season is not present and it lasts trough out the year. Promotional campaigns in City Break destinations are truing to create distinguished images in tourists mind as also as on investors, consumers and future residents. They emphasize advantages that those cities are delivering to their consumers, but often we forget that all these cities are having specific geographic landscapes. In the era of limiting of mass tourism to preserve resources for future generations and emphasizing the importance of sustainable development for tourism perspectives, the importance of specific geographic landscapes inside urban destinations for their further development as tourist destinations an their overall development is slightly neglected.

Nursing Needs Big Data and Big Data Needs Nursing.

Science.gov (United States)

Brennan, Patricia Flatley; Bakken, Suzanne

2015-09-01

Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care. Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data. The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist. Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient. © 2015 Sigma Theta Tau International.

Are we achieving spatial transformation In South Africa? Can sub-city spatial indicators make a contribution?

CSIR Research Space (South Africa)

Maritz, Johan

2016-06-01

Full Text Available . These Indicators have been developed partly in collaboration with the South African Cities Network (SACN) to support the 2016 State of Cities Report’s (SACN, 2016) theme on spatial transformation....

BIG Data - BIG Gains? Understanding the Link Between Big Data Analytics and Innovation

OpenAIRE

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen

2017-01-01

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance for product innovations. Since big data technologies provide new data information practices, they create new decision-making possibilities, which firms can use to realize innovations. Applying German firm-level data we find suggestive evidence that big data analytics matters for the likelihood of becoming a product innovator as well as the market success of the firms’ product innovat...

Networking for big data

CERN Document Server

Yu, Shui; Misic, Jelena; Shen, Xuemin (Sherman)

2015-01-01

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It exa

Global fluctuation spectra in big-crunch-big-bang string vacua

International Nuclear Information System (INIS)

Craps, Ben; Ovrut, Burt A.

2004-01-01

We study big-crunch-big-bang cosmologies that correspond to exact world-sheet superconformal field theories of type II strings. The string theory spacetime contains a big crunch and a big bang cosmology, as well as additional 'whisker' asymptotic and intermediate regions. Within the context of free string theory, we compute, unambiguously, the scalar fluctuation spectrum in all regions of spacetime. Generically, the big crunch fluctuation spectrum is altered while passing through the bounce singularity. The change in the spectrum is characterized by a function Δ, which is momentum and time dependent. We compute Δ explicitly and demonstrate that it arises from the whisker regions. The whiskers are also shown to lead to 'entanglement' entropy in the big bang region. Finally, in the Milne orbifold limit of our superconformal vacua, we show that Δ→1 and, hence, the fluctuation spectrum is unaltered by the big-crunch-big-bang singularity. We comment on, but do not attempt to resolve, subtleties related to gravitational back reaction and light winding modes when interactions are taken into account

Network Analysis of Urban Traffic with Big Bus Data

OpenAIRE

Zhao, Kai

2016-01-01

Urban traffic analysis is crucial for traffic forecasting systems, urban planning and, more recently, various mobile and network applications. In this paper, we analyse urban traffic with network and statistical methods. Our analysis is based on one big bus dataset containing 45 million bus arrival samples in Helsinki. We mainly address following questions: 1. How can we identify the areas that cause most of the traffic in the city? 2. Why there is a urban traffic? Is bus traffic a key cause ...

Conventional energy supply and impacts in African cities; L'approvisionnement en energie traditionnelle et impacts dans les villes africaines

Energy Technology Data Exchange (ETDEWEB)

Dianka, M. [GAA/RPTES, Dakar (Senegal)

2002-03-01

Before discussing supplies of conventional energy in sub-Sahara, one must consider certain information and important facts. In each country, the supplies in conventional energy are moving within a holistic frame with inter sectoral links between energy and the other problems encountered by national economies: forestry, agriculture, livestock production, demography, urbanization, poverty. In this light, the author indicated it might be wise to take into account a few major facts that underlay the Urban Demand in Domestic Combustibles before devising sustainable solutions. It was explained that in most of the African countries located South of the Sahara, there was a trend toward greater urbanization and the movement of refugees. In large part, these trends are the result of poverty, conflicts, or the degradation of the environment. Therefore, it follows that energy consumption is concentrated in cities. In countries such as Burkina Faso or Zambia, a large proportion of urban dwellers still rely on biomass to meet their culinary needs, as well as heating and other tasks. Urbanization occurred in an anarchic manner, and the forests that used to encircle cities are fast disappearing, leaving in their wake pollution. In addition, the supply sources of biomass are farther than ever. Nowadays, the supply of wood energy for Dakar, the capital of Senegal, extends over an area covering 500 kilometres, rather than the 100 kilometres it required thirty years ago. Wood energy in cities is considered to be the major cause of deforestation. Health problems such as asthma are caused by the smoke emanating from the fires used to cook meals. A few solutions are beginning to emerge, linked to the presence of youth and women in the cities, as well as sufficient manpower to implement the solutions. 9 refs., 3 figs.

What Relates to the Big Five among South African University Students

African Journals Online (AJOL)

The primary goal of the present study was to test the reliability and validity of the NEO Five-Factor Inventory among South African University students. An additional goal of the study was to explore the factors that are related to personality traits. Research participants were three hundred and sixty-eight (103 male and 265 ...

Big Argumentation?

Directory of Open Access Journals (Sweden)

Daniel Faltesek

2013-08-01

Full Text Available Big Data is nothing new. Public concern regarding the mass diffusion of data has appeared repeatedly with computing innovations, in the formation before Big Data it was most recently referred to as the information explosion. In this essay, I argue that the appeal of Big Data is not a function of computational power, but of a synergistic relationship between aesthetic order and a politics evacuated of a meaningful public deliberation. Understanding, and challenging, Big Data requires an attention to the aesthetics of data visualization and the ways in which those aesthetics would seem to depoliticize information. The conclusion proposes an alternative argumentative aesthetic as the appropriate response to the depoliticization posed by the popular imaginary of Big Data.

Growing Informal Cities: Mobile Entrepreneurs and Inclusive Growth ...

International Development Research Centre (IDRC) Digital Library (Canada)

Even though migrants to and from cities in this region play a critical role in the ... In a larger sense, the project aims to build research and networking capacity, ... to the Southern African Development Community (SADC), and have an impact on ...

Do women in major cities experience better health? A comparison of chronic conditions and their risk factors between women living in major cities and other cities in Indonesia.

Science.gov (United States)

Christiani, Yodi; Byles, Julie E; Tavener, Meredith; Dugdale, Paul

2015-01-01

Inhabitants of rural areas can be tempted to migrate to urban areas for the type and range of facilities available. Although urban inhabitants may benefit from greater access to human and social services, living in a big city can also bring disadvantages to some residents due to changes in social and physical environments. We analysed data from 4,208 women aged >15 years old participating in the fourth wave of the Indonesia Family Life Survey. Chronic condition risk factors - systolic and diastolic blood pressure (SBP and DBP), body mass index (BMI), and tobacco use - among women in four major cities in Indonesia (Jakarta, Surabaya, Medan, and Bandung) were compared against other cities. Fractional polynomial regression models were applied to examine the association between living in the major cities and SBP, DBP, BMI, and tobacco use. The models were also adjusted for age, education, employment status, migration status, ethnic groups, and religion. The patterns of SBP, DBP, and BMI were plotted and contrasted between groups of cities. Chronic condition prevalence was higher for women in major cities than in contrasting cities (p<0.005). Living in major cities increased the risk of having higher SBP, DBP, BMI and being a current smoker. Chronic disease risk factors in major cities were evident from younger ages. Women residing in Indonesia's major cities have a higher risk of developing chronic conditions, starting at younger ages. The findings highlight the challenges inherent in providing long-term healthcare with its associated cost within major Indonesian cities and the importance of chronic disease prevention programmes targeting women at an early age.

Do women in major cities experience better health? A comparison of chronic conditions and their risk factors between women living in major cities and other cities in Indonesia

Directory of Open Access Journals (Sweden)

Yodi Christiani

2015-12-01

Full Text Available Background: Inhabitants of rural areas can be tempted to migrate to urban areas for the type and range of facilities available. Although urban inhabitants may benefit from greater access to human and social services, living in a big city can also bring disadvantages to some residents due to changes in social and physical environments. Design: We analysed data from 4,208 women aged >15 years old participating in the fourth wave of the Indonesia Family Life Survey. Chronic condition risk factors – systolic and diastolic blood pressure (SBP and DBP, body mass index (BMI, and tobacco use – among women in four major cities in Indonesia (Jakarta, Surabaya, Medan, and Bandung were compared against other cities. Fractional polynomial regression models were applied to examine the association between living in the major cities and SBP, DBP, BMI, and tobacco use. The models were also adjusted for age, education, employment status, migration status, ethnic groups, and religion. The patterns of SBP, DBP, and BMI were plotted and contrasted between groups of cities. Results: Chronic condition prevalence was higher for women in major cities than in contrasting cities (p<0.005. Living in major cities increased the risk of having higher SBP, DBP, BMI and being a current smoker. Chronic disease risk factors in major cities were evident from younger ages. Conclusions: Women residing in Indonesia's major cities have a higher risk of developing chronic conditions, starting at younger ages. The findings highlight the challenges inherent in providing long-term healthcare with its associated cost within major Indonesian cities and the importance of chronic disease prevention programmes targeting women at an early age.

Designing, developing, and facilitating smart cities urban design to IoT solutions

CERN Document Server

Tragos, Elias; Pöhls, Henrich; Kapovits, Adam; Bassi, Alessandro

2017-01-01

This book discusses how smart cities strive to deploy and interconnect infrastructures and services to guarantee that authorities and citizens have access to reliable and global customized services. The book addresses the wide range of topics present in the design, development and running of smart cities, ranging from big data management, Internet of Things, and sustainable urban planning. The authors cover - from concept to practice – both the technical aspects of smart cities enabled primarily by the Internet of Things and the socio-economic motivations and impacts of smart city development. The reader will find smart city deployment motivations, technological enablers and solutions, as well as state of the art cases of smart city implementations and services. · Provides a single compendium of the technological, political, and social aspects of smart cities; · Discusses how the successful deployment of smart Cities requires a unified infrastructure to support the diverse set of applications that can be ...

Topologically Consistent Models for Efficient Big Geo-Spatio Data Distribution

Science.gov (United States)

Jahn, M. W.; Bradley, P. E.; Doori, M. Al; Breunig, M.

2017-10-01

Geo-spatio-temporal topology models are likely to become a key concept to check the consistency of 3D (spatial space) and 4D (spatial + temporal space) models for emerging GIS applications such as subsurface reservoir modelling or the simulation of energy and water supply of mega or smart cities. Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research. General challenges, concepts, and techniques of big geo-spatial data management are presented. In this paper we introduce a sound mathematical approach for a topologically consistent geo-spatio-temporal model based on the concept of the incidence graph. We redesign DB4GeO, our service-based geo-spatio-temporal database architecture, on the way to the parallel management of massive geo-spatial data. Approaches for a new geo-spatio-temporal and object model of DB4GeO meeting the requirements of big geo-spatial data are discussed in detail. Finally, a conclusion and outlook on our future research are given on the way to support the processing of geo-analytics and -simulations in a parallel and distributed system environment.

Waldorf Education in an Inner-City Public School.

Science.gov (United States)

McDermott, Ray; And Others

1996-01-01

Reports on the achievement of the first Waldorf public elementary school in Milwaukee (Wisconsin). Early experience indicates that Waldorf pedagogy, with its emphasis on the natural rhythms of everyday life, is an effective model for predominantly African American children in an inner city. (SLD)

The ethics of smart cities and urban science.

Science.gov (United States)

Kitchin, Rob

2016-12-28

Software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and city services are becoming highly responsive to a form of data-driven urbanism that is the key mode of production for smart cities. At the heart of data-driven urbanism is a computational understanding of city systems that reduces urban life to logic and calculative rules and procedures, which is underpinned by an instrumental rationality and realist epistemology. This rationality and epistemology are informed by and sustains urban science and urban informatics, which seek to make cities more knowable and controllable. This paper examines the forms, practices and ethics of smart cities and urban science, paying particular attention to: instrumental rationality and realist epistemology; privacy, datafication, dataveillance and geosurveillance; and data uses, such as social sorting and anticipatory governance. It argues that smart city initiatives and urban science need to be re-cast in three ways: a re-orientation in how cities are conceived; a reconfiguring of the underlying epistemology to openly recognize the contingent and relational nature of urban systems, processes and science; and the adoption of ethical principles designed to realize benefits of smart cities and urban science while reducing pernicious effects.This article is part of the themed issue 'The ethical impact of data science'. © 2016 The Author(s).

Cities through the Prism of People's Spending Behavior.

Science.gov (United States)

Sobolevsky, Stanislav; Sitko, Izabela; Tachet des Combes, Remi; Hawelka, Bartosz; Murillo Arias, Juan; Ratti, Carlo

2016-01-01

Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data-anonymized records of bank card transactions collected in Spain by a big European bank, and propose a new classification scheme of cities based on the economic behavior of their residents. First, we study how individual spending behavior is qualitatively and quantitatively affected by various factors such as customer's age, gender, and size of his/her home city. We show that, similar to other socioeconomic urban quantities, individual spending activity exhibits a statistically significant superlinear scaling with city size. With respect to the general trends, we quantify the distinctive signature of each city in terms of residents' spending behavior, independently from the effects of scale and demographic heterogeneity. Based on the comparison of city signatures, we build a novel classification of cities across Spain in three categories. That classification exhibits a substantial stability over different city definitions and connects with a meaningful socioeconomic interpretation. Furthermore, it corresponds with the ability of cities to attract foreign visitors, which is a particularly remarkable finding given that the classification was based exclusively on the behavioral patterns of city residents. This highlights the far-reaching applicability of the presented classification approach and its ability to discover patterns that go beyond the quantities directly involved in it.

Cities through the Prism of People's Spending Behavior.

Directory of Open Access Journals (Sweden)

Stanislav Sobolevsky

Full Text Available Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data-anonymized records of bank card transactions collected in Spain by a big European bank, and propose a new classification scheme of cities based on the economic behavior of their residents. First, we study how individual spending behavior is qualitatively and quantitatively affected by various factors such as customer's age, gender, and size of his/her home city. We show that, similar to other socioeconomic urban quantities, individual spending activity exhibits a statistically significant superlinear scaling with city size. With respect to the general trends, we quantify the distinctive signature of each city in terms of residents' spending behavior, independently from the effects of scale and demographic heterogeneity. Based on the comparison of city signatures, we build a novel classification of cities across Spain in three categories. That classification exhibits a substantial stability over different city definitions and connects with a meaningful socioeconomic interpretation. Furthermore, it corresponds with the ability of cities to attract foreign visitors, which is a particularly remarkable finding given that the classification was based exclusively on the behavioral patterns of city residents. This highlights the far-reaching applicability of the presented classification approach and its ability to discover patterns that go beyond the quantities directly involved in it.

From reproduction to reinvention. Women's roles in African cities.

Science.gov (United States)

Simone, A

1995-01-01

African governments are expressing a new awareness that interventions focused on women's health, education, political participation, and human rights are essential to the control of population growth. Lacking, however, are formal models of innovative techniques for mobilizing endogenous resource bases and maximizing popular participation. Marginalized from social and economic development, African urban women have been able to elaborate new forms of social economies and reciprocal interaction that merit attention. In the shift from the household production and reproduction characteristic of parochial rural economies to the cross-circuitry of urban trade, women have facilitated the formation of interhousehold alliances and the sharing of opportunities and resources essential to urban survival. Because women tend to operate in informal contexts outside the realm of bureaucratic control, they have been able to improvise new forms of solidarity, information exchange, and income generation. Moreover, through their ability to link disparate households, compounds, and neighborhoods, women are evolving new processes of institutional reform that cut across territory, class position, and other forms of stratification.

Big data

DEFF Research Database (Denmark)

Madsen, Anders Koed; Flyverbom, Mikkel; Hilbert, Martin

2016-01-01

is to outline a research agenda that can be used to raise a broader set of sociological and practice-oriented questions about the increasing datafication of international relations and politics. First, it proposes a way of conceptualizing big data that is broad enough to open fruitful investigations......The claim that big data can revolutionize strategy and governance in the context of international relations is increasingly hard to ignore. Scholars of international political sociology have mainly discussed this development through the themes of security and surveillance. The aim of this paper...... into the emerging use of big data in these contexts. This conceptualization includes the identification of three moments contained in any big data practice. Second, it suggests a research agenda built around a set of subthemes that each deserve dedicated scrutiny when studying the interplay between big data...

Solar retinopathy in Benin City, Nigeria | Ukponmwan | West African ...

African Journals Online (AJOL)

West African Journal of Medicine. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 22, No 4 (2003) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register · Download this PDF file. The PDF file you selected should ...

Comparison of environmental performance for different waste management scenarios in East Africa: The case of Kampala City, Uganda

NARCIS (Netherlands)

Oyoo, R.; Leemans, R.; Mol, A.P.J.

2014-01-01

Poor waste flows management in East African cities has become an environmental and public health concerns to the city authorities and the general public. We assessed the environmental impacts of waste recycling in Kampala City, for four designed waste management scenarios, namely: (1) Scenario S1

Big data computing

CERN Document Server

Akerkar, Rajendra

2013-01-01

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book i

Gender Distrust and Intimate Unions among Low-Income Hispanic and African American Women

Science.gov (United States)

Estacion, Angela; Cherlin, Andrew

2010-01-01

This article investigates levels of generalized distrust of men among low-income non-Hispanic African American, Mexican, Puerto Rican, Dominican and non-Hispanic White women in a three-city survey. The results reveal substantial variation. Hispanics' overall levels of distrust are found to be higher than levels for either African Americans or…

Exploring the Causes of Underachievement of African American Boys: A Qualitative Descriptive Case Study

Science.gov (United States)

Ennis, Rosetta

2017-01-01

The qualitative descriptive case study explores the underachievement phenomenon of fourth-grade African American boys in New York City public elementary schools. Numerous studies have been conducted at the middle school through college levels. However, very little is known about the underachievement phenomenon of fourth-grade African American…

From big bang to big crunch and beyond

International Nuclear Information System (INIS)

Elitzur, Shmuel; Rabinovici, Eliezer; Giveon, Amit; Kutasov, David

2002-01-01

We study a quotient Conformal Field Theory, which describes a 3+1 dimensional cosmological spacetime. Part of this spacetime is the Nappi-Witten (NW) universe, which starts at a 'big bang' singularity, expands and then contracts to a 'big crunch' singularity at a finite time. The gauged WZW model contains a number of copies of the NW spacetime, with each copy connected to the preceding one and to the next one at the respective big bang/big crunch singularities. The sequence of NW spacetimes is further connected at the singularities to a series of non-compact static regions with closed timelike curves. These regions contain boundaries, on which the observables of the theory live. This suggests a holographic interpretation of the physics. (author)

BIG data - BIG gains? Empirical evidence on the link between big data analytics and innovation

OpenAIRE

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen

2017-01-01

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to support firms’ innovation process. Applying German firm-level data within a knowledge production function framework we find suggestive evidence that big data analytics is a relevant determinant for the likel...

Does the Short-Term Effect of Air Pollution Influence the Incidence of Spontaneous Intracerebral Hemorrhage in Different Patient Groups? Big Data Analysis in Taiwan

Science.gov (United States)

Chien, Ting-Ying; Ting, Hsien-Wei; Chan, Chien-Lung; Lai, K. Robert; Hung, Su-In

2017-01-01

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis to explore the impact of air pollution on the risk of sICH in patients of differing age and geographic location. 39,053 cases were included in this study; 14,041 in the Taipei region (Taipei City and New Taipei City), 5537 in Taoyuan City, 7654 in Taichung City, 4739 in Tainan City, and 7082 in Kaohsiung City. The results of correlation analysis indicated that there were two pollutants groups, the CO and NO2 group and the PM2.5 and PM10 group. Furthermore, variations in the correlations of sICH with air pollutants were identified in different age groups. The co-factors of the influence of air pollutants in the different age groups were explored using regression analysis. This study integrated Taiwan National Health Insurance data and air pollution data to explore the risk factors of sICH using big data analytics. We found that PM2.5 and PM10 are very important risk factors for sICH, and age is an important modulating factor that allows air pollutants to influence the incidence of sICH. PMID:29232865

Does the Short-Term Effect of Air Pollution Influence the Incidence of Spontaneous Intracerebral Hemorrhage in Different Patient Groups? Big Data Analysis in Taiwan.

Science.gov (United States)

Chien, Ting-Ying; Ting, Hsien-Wei; Chan, Chien-Lung; Yang, Nan-Ping; Pan, Ren-Hao; Lai, K Robert; Hung, Su-In

2017-12-10

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis to explore the impact of air pollution on the risk of sICH in patients of differing age and geographic location. 39,053 cases were included in this study; 14,041 in the Taipei region (Taipei City and New Taipei City), 5537 in Taoyuan City, 7654 in Taichung City, 4739 in Tainan City, and 7082 in Kaohsiung City. The results of correlation analysis indicated that there were two pollutants groups, the CO and NO₂ group and the PM 2.5 and PM 10 group. Furthermore, variations in the correlations of sICH with air pollutants were identified in different age groups. The co-factors of the influence of air pollutants in the different age groups were explored using regression analysis. This study integrated Taiwan National Health Insurance data and air pollution data to explore the risk factors of sICH using big data analytics. We found that PM 2.5 and PM 10 are very important risk factors for sICH, and age is an important modulating factor that allows air pollutants to influence the incidence of sICH.

Study of LBS for characterization and analysis of big data benchmarks

International Nuclear Information System (INIS)

Chandio, A.A.; Zhang, F.; Memon, T.D.

2014-01-01

In the past few years, most organizations are gradually diverting their applications and services to Cloud. This is because Cloud paradigm enables (a) on-demand accessed and (b) large data processing for their applications and users on Internet anywhere in the world. The rapid growth of urbanization in developed and developing countries leads a new emerging concept called Urban Computing, one of the application domains that is rapidly deployed to the Cloud. More precisely, in the concept of Urban Computing, sensors, vehicles, devices, buildings, and roads are used as a component to probe city dynamics. Their data representation is widely available including GPS traces of vehicles. However, their applications are more towards data processing and storage hungry, which is due to their data increment in large volume starts from few dozen of TB (Tera Bytes) to thousands of PT (Peta Bytes) (i.e. Big Data). To increase the development and the assessment of the applications such as LBS (Location Based Services), a benchmark of Big Data is urgently needed. This research is a novel research on LBS to characterize and analyze the Big Data benchmarks. We focused on map-matching, which is being used as pre-processing step in many LBS applications. In this preliminary work, this paper also describes current status of Big Data benchmarks and our future direction. (author)

Study on LBS for Characterization and Analysis of Big Data Benchmarks

Directory of Open Access Journals (Sweden)

Aftab Ahmed Chandio

2014-10-01

Full Text Available In the past few years, most organizations are gradually diverting their applications and services to Cloud. This is because Cloud paradigm enables (a on-demand accessed and (b large data processing for their applications and users on Internet anywhere in the world. The rapid growth of urbanization in developed and developing countries leads a new emerging concept called Urban Computing, one of the application domains that is rapidly deployed to the Cloud. More precisely, in the concept of Urban Computing, sensors, vehicles, devices, buildings, and roads are used as a component to probe city dynamics. Their data representation is widely available including GPS traces of vehicles. However, their applications are more towards data processing and storage hungry, which is due to their data increment in large volume starts from few dozen of TB (Tera Bytes to thousands of PT (Peta Bytes (i.e. Big Data. To increase the development and the assessment of the applications such as LBS (Location Based Services, a benchmark of Big Data is urgently needed. This research is a novel research on LBS to characterize and analyze the Big Data benchmarks. We focused on map-matching, which is being used as pre-processing step in many LBS applications. In this preliminary work, this paper also describes current status of Big Data benchmarks and our future direction

A Novel Location-Centric IoT-Cloud Based On-Street Car Parking Violation Management System in Smart Cities

OpenAIRE

Dinh, Thanh; Kim, Younghan

2016-01-01

Nowadays, in big cities, parking management is a critical issue from both the driver’s side and the city government’s side. From the driver’s side, how to find an available parking lot in a city is a considerable concern. As a result, smart parking systems recently have received great interest, both in academia and industry. From the city government’s side, how to manage and distribute such a limited public parking resource efficiently to give every visitor a fair chance of finding an on-stre...

Transport and geographical position of the big and average cities of the Ukrainian Black Sea region

Directory of Open Access Journals (Sweden)

S. O. Shulevskyi

2017-02-01

Full Text Available There were features of the transport and geographical position of large and average cities of the Ukrainian Black Sea region described in the article. The situation of cities in relation to the existing network of main types of transport connections like road, rail, water, aviation was analyzed. The location of cities in relation to regional centers, the regional center of Odessa, the capital of the country and the state border were characterized. The situation of cities in relation to international transport corridors and the international E-road network was examined. The cities with the most and least favorable transport and geographical location in the region were highlighted.

Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China

Directory of Open Access Journals (Sweden)

Ji Guo

2017-12-01

Full Text Available With the rapid economic growth and development, the problem of environmental pollution in China’s cities is becoming increasingly serious, and environmental pollution takes on a regional difference. There is, however, little comprehensive evaluation on the environmental performance and the regional difference of strictly-environmental-monitored cities in China. In this paper, the environmental performance of 109 strictly-environmental-monitored cities in China is evaluated in terms of natural performance, management performance, and scale performance by Data Envelopment Analysis (DEA, incorporating PM2.5 and PM10 as undesirable outputs. The empirical results show that: (1 At present, the natural performance is quite high, while the management performance is noticeably low for most cities. (2 The gap between the level of economic development and environmental protection among cities in China is large, and the scale efficiency of big cities is better than that of smaller cities. The efficiency value of large-scale cities such as Beijing, Shanghai, Guangzhou, Shenzhen, etc. is high, equaling 1; the value of smaller cities such as Sanmenxia, Baoding, Mudanjiang, and Pingdingshan is low, close to 0, indicating that big cities are characterized by high environmental efficiency. (3 From the perspective of region, the level of environmental performance in China is very uneven. For example, the environmental efficiency level of the Pan-Pearl River Delta region is superior to that of the Pan-Yangtze River region and the Bahia Rim region, whose values of environmental efficiency are 0.858, 0.658, and 0.622 respectively. The average efficiency of the Southern Coastal Economic Zone, Eastern Coastal Comprehensive Economic Zone, and the Comprehensive Economic Zone in the middle reaches of the Yangtze River is higher than that of other regions. Finally, corresponding countermeasures and suggestions are put forward. The method used in this paper is applicable

Vulnerability of wastewater infrastructure of coastal cities to sea level ...

African Journals Online (AJOL)

to sea level rise: A South African case study ... developing countries such as South Africa, and for their coastal cities. ... of the wastewater pipeline network is around 8 790 km and .... propensity for regional infrastructure to malfunction under.

'The big ole gay express': sexual minority stigma, mobility and health in the small city.

Science.gov (United States)

Keene, Danya E; Eldahan, Adam I; White Hughto, Jaclyn M; Pachankis, John E

2017-03-01

Recent research has examined how gay and bisexual men experience and navigate the variations in sexual minority stigma that exist across geographic contexts, with implications for their health. We extend this literature on stigma, mobility, and health by considering the unique and understudied setting of the small city. Drawing on semi-structured interviews (n = 29) conducted in two small US cities (New Haven and Hartford), we find that these small cities serve as both destinations and points of departure for gay and bisexual men in the context of stigma. New Haven and Hartford attracted gay and bisexual men from surrounding suburbs where sexual minority stigma was more prevalent and where there were fewer spaces and opportunities for gay life. Conversely, participants noted that these small cities did not contain the same identity affirming communities as urban gay enclaves, thus motivating movement from small cities to larger ones. Our data suggest these forms of mobility may mitigate stigma, but may also produce sexual health risks, thus drawing attention to small cities as uniquely important sites for HIV prevention. Furthermore, our analysis contributes to an understanding of how place, stigma and mobility can intersect to generate spatially distinct experiences of stigmatised identities and related health consequences.

Redefining smart city concept with resilience approach

Science.gov (United States)

Arafah, Y.; Winarso, H.

2017-06-01

The smart city concept originally aimed at dealing with various urban problems, in particular, those related to the urban environment and infrastructure, such as modeling transport flow in a city. As it developed, the concept is now widely used to accelerate the process of urban management by using IT technology and by the availability of big data. However, the smart city discourses are still debated. There is a number of critical literature on the discourses; some are more concerned with the use and development of information communication technology (ICT). ICT and modern technology are considered the key aspect of the smart city concept. Meanwhile, others emphasize the importance of the people who operate the technology. Very few, if any, literature emphasizes the importance of resilience in the smart city discourse. The city as a complex system should have the ability to be resilient, especially when technology fails either due to technical/man-made or natural disasters. This paper aims to redefine the smart city concept in urban planning through a literature study in the context of planning using a resilience approach. This paper describes and defines what the smart city concept is, what it means, as well as explains the relation and linkage of the importance of using resilience approach in defining the smart city. Factors of resilience will lead to a soft infrastructure approach, such as enhancement in many aspects, e.g. community capacity, social and human capital, knowledge inclusion, participation, social innovation, and social equity. Discussion and analysis are conducted through a deep literature study using systematic literature review methodology.

Portraits of South African Women in Lauren Beukes’ Writings

Directory of Open Access Journals (Sweden)

Caraivan Luiza

2016-12-01

Full Text Available The aim of this paper is to study some of Lauren Beukes’ feminine characters and to draw a parallel between them and some famous South African personalities presented in her non-fiction work Maverick: Extraordinary Women from South Africa’s Past. To this end, I will analyse three of her novels, Moxyland (2008, Zoo City (2010 and The Shining Girls (2012, in order to draw attention to the part played by South African women in Apartheid and post-Apartheid society.

Comments on Environmental and Sanitary Aspects of the Scorpionism by Tityus trivittatus in Buenos Aires City, Argentina

Directory of Open Access Journals (Sweden)

Adolfo Rafael de Roodt

2014-04-01

Full Text Available Deaths by venomous animals are medical emergencies that can lead to death and thus constitute sanitary problems in some regions of the world. In the South of America, the accidents by these animals are a common sanitary problem especially in warm, tropical or subtropical regions, related with rural work in several countries. Argentina is located in the extreme South of South America and a minor part of the continental surface is in tropical or subtropical regions, where most of the accidents by venomous animals happen. However, in the big cities in the center and South of the country, with no relation to rural work, scorpionism, mostly due to the synanthropic and facultative parthenogenetic scorpion Tityus trivittatus, has become a sanitary problem in the last few decades. This scorpion is present in the biggest cities of Argentina and in the last decades has killed over 20 children in provinces of the center and north of the country, mostly in big cities. In addition, it seems that this species is growing and spreading in new regions of the cities. In this revision, some characteristics of this scorpion regarding its habitat, spreading in Buenos Aires city, combat measures and available treatments are discussed.

African Journal of AIDS Research - Vol 17, No 1 (2018)

African Journals Online (AJOL)

The influence of lotteries on employees' workplace HIV testing behaviour · EMAIL ... Estimating risk factors for HIV infection among women in Mozambique using ... Book Review: AIDS and Masculinity in the African City: Privilege, Inequality, ...

The Eighth Vibration. Asmara and Dek’emhare, Cities of Work, Cities of Leisure

Directory of Open Access Journals (Sweden)

Gian Luca Podestà

2015-03-01

Full Text Available The case of Asmara was emblematic. In 1934 Asmara had a population of about 3,500 Italians and 12,000 Africans. In 1939 Italians had risen to 48,000 whilst Africans were 36,000. In just five years the total population had increased fivefold, whilst the proportion between Italians and indigenous people had been reversed. This was an unprecedented phenomenon, determined by the economic importance of the city as a logistic base for the war. Asmara became the financial hub of the new Italian empire, where all major Italian companies had opened branches, as well as the seat of hundreds of new business enterprises born after the conquest of Ethiopia. Social life in Asmara was pulsating just like that of any other European town. During the day the heart of the city throbbed with business, both in the street markets and in the new Italian districts, where the offices of trading and industrial companies could be found. At night, social life moved to the ever expanding number of entertainment and leisure facilities. New dancehalls, restaurants and bars were being opened everywhere. The working men’s clubs and numerous sports and recreational societies, supported by local government and by the PNF, organised the colonists’ free time. In Eritrea, near the strategic hubs where companies and the army had located their logistic bases, new urban agglomerates rose from scratch, such as Dek’emhare and Nefasit, with plenty of restaurants and clubs, patronised by military personnel, workers and by the Italian nouveaux riches who, as Indro Montanelli denounced in his book “XX Battaglione Eritrea” (20th Eritrean Battalion lived a upper-class lifestyle, which went against the Fascist imperial ethos, thus betraying the ideal purpose of the African wars.

Benchmarking Big Data Systems and the BigData Top100 List.

Science.gov (United States)

Baru, Chaitanya; Bhandarkar, Milind; Nambiar, Raghunath; Poess, Meikel; Rabl, Tilmann

2013-03-01

"Big data" has become a major force of innovation across enterprises of all sizes. New platforms with increasingly more features for managing big datasets are being announced almost on a weekly basis. Yet, there is currently a lack of any means of comparability among such platforms. While the performance of traditional database systems is well understood and measured by long-established institutions such as the Transaction Processing Performance Council (TCP), there is neither a clear definition of the performance of big data systems nor a generally agreed upon metric for comparing these systems. In this article, we describe a community-based effort for defining a big data benchmark. Over the past year, a Big Data Benchmarking Community has become established in order to fill this void. The effort focuses on defining an end-to-end application-layer benchmark for measuring the performance of big data applications, with the ability to easily adapt the benchmark specification to evolving challenges in the big data space. This article describes the efforts that have been undertaken thus far toward the definition of a BigData Top100 List. While highlighting the major technical as well as organizational challenges, through this article, we also solicit community input into this process.

Between mobility and immobility: undocumented African migrants living in the shadow of the Chinese state

NARCIS (Netherlands)

Lan, S.; Donggen Wang,; Shenjing He,

2016-01-01

With China’s accession to the World Trade Organization in 2001 and the enormous growth of Sino-African trade, Guangzhou, a mega city in South China, has become the Promised Land for many African migrants seeking wealth and fortune in the global economy. Differing from the previous generation of

Engaging African and Caribbean Immigrants in HIV Testing and Care in a Large US City: Lessons Learned from the African Diaspora Health Initiative.

Science.gov (United States)

Kwakwa, Helena A; Wahome, Rahab; Goines, Djalika S; Jabateh, Voffee; Green, Arraina; Bessias, Sophia; Flanigan, Timothy P

2017-08-01

The lifting in 2010 of the HIV entry ban eliminated an access point for HIV testing of the foreign-born. The African Diaspora Health Initiative (ADHI) was developed to examine alternative pathways to testing for African and Caribbean persons. The ADHI consists of Clinics Without Walls (CWW) held in community settings. HIV testing is offered to participants along with hypertension and diabetes screening. A survey is administered to participants. Descriptive data were analyzed using SAS 9.2. Between 2011 and 2015, 4152 African and Caribbean individuals participated in 352 CWW. Participants were mostly (67.7 %) African. HIV rates were lowest in Caribbean women (0.4 %) and highest in Caribbean men (8.4 %). Efforts to engage African and Caribbean communities in HIV testing are important given the elimination of the HIV entry ban and continued immigration to the US from areas of higher prevalence. The ADHI offers a successful model of engagement.

Big data, big knowledge: big data for personalized healthcare.

Science.gov (United States)

Viceconti, Marco; Hunter, Peter; Hose, Rod

2015-07-01

The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients. But in practice no model is ever entirely phenomenological or entirely mechanistic. We propose in this position paper that big data analytics can be successfully combined with VPH technologies to produce robust and effective in silico medicine solutions. In order to do this, big data technologies must be further developed to cope with some specific requirements that emerge from this application. Such requirements are: working with sensitive data; analytics of complex and heterogeneous data spaces, including nontextual information; distributed data management under security and performance constraints; specialized analytics to integrate bioinformatics and systems biology information with clinical observations at tissue, organ and organisms scales; and specialized analytics to define the "physiological envelope" during the daily life of each patient. These domain-specific requirements suggest a need for targeted funding, in which big data technologies for in silico medicine becomes the research priority.

Cities through the Prism of People’s Spending Behavior

Science.gov (United States)

Hawelka, Bartosz; Murillo Arias, Juan; Ratti, Carlo

2016-01-01

Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data–anonymized records of bank card transactions collected in Spain by a big European bank, and propose a new classification scheme of cities based on the economic behavior of their residents. First, we study how individual spending behavior is qualitatively and quantitatively affected by various factors such as customer’s age, gender, and size of his/her home city. We show that, similar to other socioeconomic urban quantities, individual spending activity exhibits a statistically significant superlinear scaling with city size. With respect to the general trends, we quantify the distinctive signature of each city in terms of residents’ spending behavior, independently from the effects of scale and demographic heterogeneity. Based on the comparison of city signatures, we build a novel classification of cities across Spain in three categories. That classification exhibits a substantial stability over different city definitions and connects with a meaningful socioeconomic interpretation. Furthermore, it corresponds with the ability of cities to attract foreign visitors, which is a particularly remarkable finding given that the classification was based exclusively on the behavioral patterns of city residents. This highlights the far-reaching applicability of the presented classification approach and its ability to discover patterns that go beyond the quantities directly involved in it. PMID:26849218

BigDataBench: a Big Data Benchmark Suite from Internet Services

OpenAIRE

Wang, Lei; Zhan, Jianfeng; Luo, Chunjie; Zhu, Yuqing; Yang, Qiang; He, Yongqiang; Gao, Wanling; Jia, Zhen; Shi, Yingjie; Zhang, Shujie; Zheng, Chen; Lu, Gang; Zhan, Kent; Li, Xiaona; Qiu, Bizhu

2014-01-01

As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises. Considering the broad use of big data systems, big data benchmarks must include diversity of data and workloads. Most of the state-of-the-art big data benchmarking efforts target evaluating specific types of applications or system software stacks, and hence they are not qualified for serving the purpo...

East and Central African Journal of Surgery

African Journals Online (AJOL)

cough, diphtheria and measles. These no longer reach epidemic proportions in Africa as they did 30 years ago. But against a background of over- population, war and malnutrition, malaria and the diarrhoea1 diseases take an increasing toll of African children. In the cities, the diseases associated with affluence and gluttony ...

Adapting South African Settlements to the Impacts of Climate Change

International Development Research Centre (IDRC) Digital Library (Canada)

Guidelines to assist with adaptation The project team will develop planning and design guidelines, known as the Green Book, ... the project team will: -review adaptation plans for South African cities with the goal of ... Institution Website.

Entrepreneurship and Interracial Dynamics: A Case Study of Self-Employed Africans and Chinese in Guangzhou, China

OpenAIRE

Zhou, Min; Xu, Tao; Shenasi, Shabnam

2015-01-01

Guangzhou is the most popular gateway city for African migration to China. Unlike stereotypical international migrants, Africans in Guangzhou are predominantly self-made entrepreneurs, doing business face-to-face with Chinese entrepreneurs who are predominantly internal migrants with truncated citizenship rights. African-Chinese encounters in local markets and residential neighborhoods offer a rare opportunity for studying interracial dynamics beyond the classic black-white dichotomy and trad...

Conociendo Big Data

Directory of Open Access Journals (Sweden)

Juan José Camargo-Vega

2014-12-01

Full Text Available Teniendo en cuenta la importancia que ha adquirido el término Big Data, la presente investigación buscó estudiar y analizar de manera exhaustiva el estado del arte del Big Data; además, y como segundo objetivo, analizó las características, las herramientas, las tecnologías, los modelos y los estándares relacionados con Big Data, y por último buscó identificar las características más relevantes en la gestión de Big Data, para que con ello se pueda conocer todo lo concerniente al tema central de la investigación.La metodología utilizada incluyó revisar el estado del arte de Big Data y enseñar su situación actual; conocer las tecnologías de Big Data; presentar algunas de las bases de datos NoSQL, que son las que permiten procesar datos con formatos no estructurados, y mostrar los modelos de datos y las tecnologías de análisis de ellos, para terminar con algunos beneficios de Big Data.El diseño metodológico usado para la investigación fue no experimental, pues no se manipulan variables, y de tipo exploratorio, debido a que con esta investigación se empieza a conocer el ambiente del Big Data.

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision.

Science.gov (United States)

Lynggaard, Per; Skouby, Knud Erik

2016-11-02

The world is entering a new era, where Internet-of-Things (IoT), smart homes, and smart cities will play an important role in meeting the so-called big challenges. In the near future, it is foreseen that the majority of the world's population will live their lives in smart homes and in smart cities. To deal with these challenges, to support a sustainable urban development, and to improve the quality of life for citizens, a multi-disciplinary approach is needed. It seems evident, however, that a new, advanced Information and Communications Technology ICT infrastructure is a key feature to realize the "smart" vision. This paper proposes a specific solution in the form of a hierarchical layered ICT based infrastructure that handles ICT issues related to the "big challenges" and seamlessly integrates IoT, smart homes, and smart city structures into one coherent unit. To exemplify benefits of this infrastructure, a complex IoT system has been deployed, simulated and elaborated. This simulation deals with wastewater energy harvesting from smart buildings located in a smart city context. From the simulations, it has been found that the proposed infrastructure is able to harvest between 50% and 75% of the wastewater energy in a smart residential building. By letting the smart city infrastructure coordinate and control the harvest time and duration, it is possible to achieve considerable energy savings in the smart homes, and it is possible to reduce the peak-load for district heating plants.

Overview of urban Growth Simulation: With examples from different cities

CSIR Research Space (South Africa)

Waldeck, L

2013-08-01

Full Text Available This presentation provides an overview of Urban Growth Simulation as a risk free means of assessing the future outcome of major policy and investment decisions with some examples of scenarios that were simulated in different South African cities....

BigDansing

KAUST Repository

Khayyat, Zuhair

2015-06-02

Data cleansing approaches have usually focused on detecting and fixing errors with little attention to scaling to big datasets. This presents a serious impediment since data cleansing often involves costly computations such as enumerating pairs of tuples, handling inequality joins, and dealing with user-defined functions. In this paper, we present BigDansing, a Big Data Cleansing system to tackle efficiency, scalability, and ease-of-use issues in data cleansing. The system can run on top of most common general purpose data processing platforms, ranging from DBMSs to MapReduce-like frameworks. A user-friendly programming interface allows users to express data quality rules both declaratively and procedurally, with no requirement of being aware of the underlying distributed platform. BigDansing takes these rules into a series of transformations that enable distributed computations and several optimizations, such as shared scans and specialized joins operators. Experimental results on both synthetic and real datasets show that BigDansing outperforms existing baseline systems up to more than two orders of magnitude without sacrificing the quality provided by the repair algorithms.

Trees in the small city retail business district: comparing resident and visitor perceptions

Science.gov (United States)

Kathleen L. Wolf

2005-01-01

Many small cities and towns are located near resource lands, and their central business districts serve both residents and visitors. Such quasi-rural retail centers face competitive challenges from regional shopping malls, online purchasing, and big box discount retailers. District merchants must strategically enhance their market...

Characterizing Big Data Management

Directory of Open Access Journals (Sweden)

Rogério Rossi

2015-06-01

Full Text Available Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: technology, people and processes. Hence, this article discusses these dimensions: the technological dimension that is related to storage, analytics and visualization of big data; the human aspects of big data; and, in addition, the process management dimension that involves in a technological and business approach the aspects of big data management.

Big science

CERN Multimedia

Nadis, S

2003-01-01

" "Big science" is moving into astronomy, bringing large experimental teams, multi-year research projects, and big budgets. If this is the wave of the future, why are some astronomers bucking the trend?" (2 pages).

Glocal Nollywood: The Politics of Culture, Identity, and Migration in African Films Set on American Shores

Directory of Open Access Journals (Sweden)

T. Omega Arthur

2017-09-01

Full Text Available Since its inception in 1992, Nollywood, the Nigerian film industry, has grown into a transnational cinema and the second largest film industry in the world thanks in large part to the popularity of the highly affective and dramatic narrative conventions the industry has perfected. In the last decade, Nollywood filmmakers have produced films that depict the African immigrant lived experience in American cities like New York City, Chicago, Los Angeles, and Atlanta. These films are glocal in nature; while set in the United States and featuring African characters, the films combine both local and global settings, cultural attitudes, identity politics, and the protean nature of everyday life in America. By examining the films Anchor Baby and Baby Oku in America, this article analyses how Nollywood filmmakers employ the industry’s affective and melodramatic narrative practices to show African immigrant characters’ complex emotional, epistemological, and phenomenological responses to both the urban spaces they inhabit and the African spaces they left behind.

Toward a Historical Archaeology of West African Borderlands

African Journals Online (AJOL)

user

Keywords: African History; Borderlands Studies; Historical Archaeology; ... Thus, the analysis of cultural heritage in the region has been .... In a similar development, ... arrived on the coast, West Africa was already linked by trade networks that ... For instance, in the ancient city of Badagry, the 'relics of the enslavement ...

Big bang and big crunch in matrix string theory

OpenAIRE

Bedford, J; Papageorgakis, C; Rodríguez-Gómez, D; Ward, J

2007-01-01

Following the holographic description of linear dilaton null Cosmologies with a Big Bang in terms of Matrix String Theory put forward by Craps, Sethi and Verlinde, we propose an extended background describing a Universe including both Big Bang and Big Crunch singularities. This belongs to a class of exact string backgrounds and is perturbative in the string coupling far away from the singularities, both of which can be resolved using Matrix String Theory. We provide a simple theory capable of...

Mindwaves: Story of How a Girl Constructs Higher Order, Verbal Linguistic Intelligence in a Multiple Intelligences Classroom.

Science.gov (United States)

Fluellen, Jerry

Howard Gardner and Jerome Bruner have given much to teachers who want to know how the minds of children grow. This story of a girl's construction of higher order, verbal linguistic intelligence is also theirs. Ideas they created have been cloned to fit a big city, public school classroom of African American 4th graders, each with a set of multiple…

Taking Boys out of the Hood: Exile as a Parenting Strategy for African American Male Youth

Science.gov (United States)

Richardson, Joseph B., Jr.; Van Brakle, Mischelle; St. Vil, Christopher

2014-01-01

Research indicates that inner-city neighborhood effects are correlated with school dropout, substance abuse, crime, violence, homicide, HIV risk related behaviors, and incarceration for adolescent African American males. Parents of adolescent African American males face many challenges as they try to keep their children safe in high-risk…

Relações hierárquicas entre os traços amplos do Big Five Hierarchical relationship between the broad traits of the Big Five

Directory of Open Access Journals (Sweden)

Cristiano Mauro Assis Gomes

2012-01-01

Full Text Available O modelo Big Five sustenta que a personalidade humana é composta por dezenas de fatores específicos. Apesar dessa diversidade, esses fatores confluem para cinco traços amplos que estão em um mesmo nível de hierarquia. O presente estudo apresenta uma hipótese alternativa, postulando níveis entre os traços amplos do modelo. Fizeram parte do estudo 684 estudantes do ensino fundamental e médio de uma escola particular de Belo Horizonte, MG, com idades entre 10 e 18 anos (m = 13,71 e DP= 2,11. Para medir os fatores do Big Five foi utilizado o Inventário de Características de Personalidade, anteriormente chamado de Inventário dos Adjetivos de Personalidade, de Pinheiro, Gomes e Braga (2009. O instrumento mensura oito polaridades das 10 polaridades presentes nos cinco traços amplos do Big Five. Dois modelos foram comparados via método path analysis: um modelo de quatro níveis hierárquicos e um modelo não hierárquico. O modelo hierárquico apresentou adequado grau de ajuste aos dados e mostrou-se superior ao modelo não hierárquico, que não se ajusta aos dados. Implicações são discutidas para o modelo Big Five.The Big Five model sustains that human personality is composed by dozens of specific factors. Despite of diversity, specific factors are integrated in five broad traits that are in the same hierarchical level. The current study presents an alternative hypothesis arguing that there are hierarchical levels between the broad traits of the model. Six hundred and eighty-four junior and high school level students from 10 to 18 years old (M = 13.71 and SD= 2.11 of a private school in the city of Belo Horizonte, Minas Gerais, Brazil participated in the study. The Big Five was measured by an Inventory of Personality Traits, initially named as Personality Adjective Inventory, elaborated by Pinheiro, Gomes and Braga (2009. This instrument measures eight polarities of the ten presented in the Big Five Model. Two models were compared

Bliver big data til big business?

DEFF Research Database (Denmark)

Ritter, Thomas

2015-01-01

Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge.......Danmark har en digital infrastruktur, en registreringskultur og it-kompetente medarbejdere og kunder, som muliggør en førerposition, men kun hvis virksomhederne gør sig klar til næste big data-bølge....

Big data uncertainties.

Science.gov (United States)

Maugis, Pierre-André G

2018-07-01

Big data-the idea that an always-larger volume of information is being constantly recorded-suggests that new problems can now be subjected to scientific scrutiny. However, can classical statistical methods be used directly on big data? We analyze the problem by looking at two known pitfalls of big datasets. First, that they are biased, in the sense that they do not offer a complete view of the populations under consideration. Second, that they present a weak but pervasive level of dependence between all their components. In both cases we observe that the uncertainty of the conclusion obtained by statistical methods is increased when used on big data, either because of a systematic error (bias), or because of a larger degree of randomness (increased variance). We argue that the key challenge raised by big data is not only how to use big data to tackle new problems, but to develop tools and methods able to rigorously articulate the new risks therein. Copyright © 2016. Published by Elsevier Ltd.

Basis for an innovative partnership. City utilities and Swisscom sign an agreement on energy services

International Nuclear Information System (INIS)

Aeberli, O.

1999-01-01

The seven big Swiss city utilities (IGSS) prepare themselves jointly to the liberalised energy market. Recently, they signed with a delegation of 'Swisscom Immobilien AG' (the building management subsidiary of the largest telecommunication company in Switzerland) an agreement on energy services. This is a win-win opportunity in the long term. Swisscom interest is to find one single competent and efficient partner for the seven cities. Today the company has to make business with 600 different electric utilities for the power supply to its 2000 buildings in Switzerland. The city utilities are interested in offering new energy services [de

Relationship between Air Pollutants and Economic Development of the Provincial Capital Cities in China during the Past Decade

Science.gov (United States)

Luo, Yunpeng; Chen, Huai; Zhu, Qiu'an; Peng, Changhui; Yang, Gang; Yang, Yanzheng; Zhang, Yao

2014-01-01

With the economic development of China, air pollutants are also growing rapidly in recent decades, especially in big cities of the country. To understand the relationship between economic condition and air pollutants in big cities, we analysed the socioeconomic indictorssuch as Gross Regional Product per capita (GRP per capita), the concentration of air pollutants (PM10, SO2, NO2) and the air pollution index (API) from 2003 to 2012 in 31 provincial capitals of mainland China. The three main industries had a quadratic correlation with NO2, but a negative relationship with PM10 and SO2. The concentration of air pollutants per ten thousand yuan decreased with the multiplying of GRP in the provinical cities. The concentration of air pollutants and API in the provincial capital cities showed a declining trend or inverted-U trend with the rise of GRP per capita, which provided a strong evidence for the Environmental Kuznets Curve (EKC), that the environmental quality first declines, then improves, with the income growth. The results of this research improved our understanding of the alteration of atmospheric quality with the increase of social economy and demonstrated the feasibility of sustainable development for China. PMID:25083711

Relationship between air pollutants and economic development of the provincial capital cities in China during the past decade.

Science.gov (United States)

Luo, Yunpeng; Chen, Huai; Zhu, Qiu'an; Peng, Changhui; Yang, Gang; Yang, Yanzheng; Zhang, Yao

2014-01-01

With the economic development of China, air pollutants are also growing rapidly in recent decades, especially in big cities of the country. To understand the relationship between economic condition and air pollutants in big cities, we analysed the socioeconomic indictors such as Gross Regional Product per capita (GRP per capita), the concentration of air pollutants (PM10, SO2, NO2) and the air pollution index (API) from 2003 to 2012 in 31 provincial capitals of mainland China. The three main industries had a quadratic correlation with NO2, but a negative relationship with PM10 and SO2. The concentration of air pollutants per ten thousand yuan decreased with the multiplying of GRP in the provincial cities. The concentration of air pollutants and API in the provincial capital cities showed a declining trend or inverted-U trend with the rise of GRP per capita, which provided a strong evidence for the Environmental Kuznets Curve (EKC), that the environmental quality first declines, then improves, with the income growth. The results of this research improved our understanding of the alteration of atmospheric quality with the increase of social economy and demonstrated the feasibility of sustainable development for China.

Life quality and living standards in big cities under conditions of high-rise construction development

Science.gov (United States)

Avdeeva, Elena; Averina, Tatiana; Kochetova, Larisa

2018-03-01

Modern urbanization processes occurring on a global scale inevitably lead to an increase in population density in large cities. People assess the state of life quality and living standards of megalopolises under conditions of high-rise construction development ambiguously. Using SWOT analysis, the authors distinguished positive and negative aspects of high-rise construction, highlighted threats to its development and its opportunities. The article considers the model of development of the city's industry and infrastructure, which enables determining the optimal volume of production by sectors and branches of city economy in order to increase its innovative, production and economic potential and business activity.

HARNESSING BIG DATA VOLUMES

Directory of Open Access Journals (Sweden)

Bogdan DINU

2014-04-01

Full Text Available Big Data can revolutionize humanity. Hidden within the huge amounts and variety of the data we are creating we may find information, facts, social insights and benchmarks that were once virtually impossible to find or were simply inexistent. Large volumes of data allow organizations to tap in real time the full potential of all the internal or external information they possess. Big data calls for quick decisions and innovative ways to assist customers and the society as a whole. Big data platforms and product portfolio will help customers harness to the full the value of big data volumes. This paper deals with technical and technological issues related to handling big data volumes in the Big Data environment.

Health Care Experiences and Perceived Barriers to Health Care Access: A Qualitative Study Among African Migrants in Guangzhou, Guangdong Province, China.

Science.gov (United States)

Lin, Lavinia; Brown, Katherine B; Yu, Fan; Yang, Jingqi; Wang, Jason; Schrock, Joshua M; Bodomo, Adams B; Yang, Ligang; Yang, Bin; Nehl, Eric J; Tucker, Joseph D; Wong, Frank Y

2015-10-01

Guangzhou, one of China's largest cities and a main trading port in South China, has attracted many African businessmen and traders migrating to the city for financial gains. Previous research has explored the cultural and economic roles of this newly emerging population; however, little is known about their health care experiences while in China. Semi-structured interviews and focus groups were used to assess health care experiences and perceived barriers to health care access among African migrants in Guangzhou, China. Overall, African migrants experienced various barriers to accessing health care and were dissatisfied with local health services. The principal barriers to care reported included affordability, legal issues, language barriers, and cultural differences. Facing multiple barriers, African migrants have limited access to care in Guangzhou. Local health settings are not accustomed to the African migrant population, suggesting that providing linguistically and culturally appropriate services may improve access to care for the migrants.

Big bang and big crunch in matrix string theory

International Nuclear Information System (INIS)

Bedford, J.; Ward, J.; Papageorgakis, C.; Rodriguez-Gomez, D.

2007-01-01

Following the holographic description of linear dilaton null cosmologies with a big bang in terms of matrix string theory put forward by Craps, Sethi, and Verlinde, we propose an extended background describing a universe including both big bang and big crunch singularities. This belongs to a class of exact string backgrounds and is perturbative in the string coupling far away from the singularities, both of which can be resolved using matrix string theory. We provide a simple theory capable of describing the complete evolution of this closed universe

Big data a primer

CERN Document Server

Bhuyan, Prachet; Chenthati, Deepak

2015-01-01

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

Malls in Zambia: Racialised retail expansion and South African ...

African Journals Online (AJOL)

ANBR

discourses on urban integration and equitable development and the realty of hard- ... conglomerations, African cities now unevenly mirrored the consumptive ..... (Harvey, 2003: 33-36), entailing large investments in rail and road networks. .... large camps, unlike the small traders who traded from their wagons and operated ...

The utilization characteristics of social facilities in the border area of Semarang city

Science.gov (United States)

Setioko, Bambang; Olivia, Deasy; Pandelaki, Edward E.; Murtini, Titien Woro

2017-06-01

The rapid growth of settlement in border areas is often considered as a problem of big cities in Indonesia, where people from rural areas prefer to move out and settle in the border areas of big cities due to the provision of better social facilities. Border areas generally do not receive adequate attention and are often overlooked by the local government. It is a common phenomenon in Indonesian cities, including in Semarang City. Increased number of settlements in the border areas in Semarang City is in linear with spontaneous urbanization processes which indicate the heterogeneity emerging of settlement areas. In the early stages of Semarang City spatial planning, the need for social facilities in border areas is included based on the regular standard which is commonly applied to the urban core. In a very short period, the numbers and types of existing social facilities are insufficient to fulfill the needs of the community. Nowadays, in the context of rapid urbanization, the growth of social facilities in border areas is very high. The intense growth of settlements in border areas is very high due to the low price of land in Demak Regency in compared to those of other areas in Semarang City. However, only a few developers involved social facilities as a part of housing estate construction. Consequently, most of the occupants utilize a limited number of social facilities provided by the municipal government, which are actually intended to serve the citizens of Semarang City. This research was conducted at Sendang Mulyo Village which is located in the border of Semarang municipal administrative area and included in Demak Regency. This paper discusses the utilization characteristics of social facilities in the border area of Semarang City, with the aim to get the trigger factors. The method analysis consisted of a statistical test and descriptive analysis. The utilization characteristics were formulated based on the relationship between neighborhood and human

The role of cities in climate change mitigation: A South African perspective

CSIR Research Space (South Africa)

Thambiran, Tirusha

2012-11-01

Full Text Available … • “The quality of air will be better than any other street in the Gulf and in the world, and that alone will bring you safety, health and happiness." Image source: http://inhabitat.com/lavas-winning-design-for-masdars-city-center/ Low carbon cities...

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision

Directory of Open Access Journals (Sweden)

Per Lynggaard

2016-11-01

Full Text Available The world is entering a new era, where Internet-of-Things (IoT, smart homes, and smart cities will play an important role in meeting the so-called big challenges. In the near future, it is foreseen that the majority of the world’s population will live their lives in smart homes and in smart cities. To deal with these challenges, to support a sustainable urban development, and to improve the quality of life for citizens, a multi-disciplinary approach is needed. It seems evident, however, that a new, advanced Information and Communications Technology ICT infrastructure is a key feature to realize the “smart” vision. This paper proposes a specific solution in the form of a hierarchical layered ICT based infrastructure that handles ICT issues related to the “big challenges” and seamlessly integrates IoT, smart homes, and smart city structures into one coherent unit. To exemplify benefits of this infrastructure, a complex IoT system has been deployed, simulated and elaborated. This simulation deals with wastewater energy harvesting from smart buildings located in a smart city context. From the simulations, it has been found that the proposed infrastructure is able to harvest between 50% and 75% of the wastewater energy in a smart residential building. By letting the smart city infrastructure coordinate and control the harvest time and duration, it is possible to achieve considerable energy savings in the smart homes, and it is possible to reduce the peak-load for district heating plants.

Microsoft big data solutions

CERN Document Server

Jorgensen, Adam; Welch, John; Clark, Dan; Price, Christopher; Mitchell, Brian

2014-01-01

Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all,

The Recreation Applications in Local Administrations: The Sample of Konya City

Directory of Open Access Journals (Sweden)

Murat KOÇYİĞİT

2014-08-01

Full Text Available The population increase in the big cities, the crowd and urbanization phenomenon’s cause changes in expectations of people as well. Anyone who lives in the big city and feels the atmosphere of metropolis culture, are desiring to have a healthier and greene r city atmosphere alongside with their increasing demands from technological developments, and ease in the transportation to increase in the living standards. They want to live with much amusement with joyful activities and healthier, through the shopping malls constructed at the city centers, movie houses and amusement centers and also playgrounds, walking trials and runways, parks and green fields for people to relax. People want to reach such centers and recreational fields not with long time, hour long voyages but immediately. They desire it to be close to his house, workplace. He wants to stop by a park, a recreational ground, picnic area even for a short time, to fish, blow off the daily steam, refresh, and relax. People want the recreational grounds t o be close to their houses, nursery, and school of their children. While the social activity grounds continues to increase in Konya, now big recreational grounds, parks, green grounds are being formed that can offer all those means to citizens. In this con text the aim of the working is, to examine the recreational applications made by Konya Metropolitan Municipality, by researching the facilities and application methods related with the recreation, to form the infrastructure of a study that can be model for the recreational applications in other Metropolis. In the study, the current recreational grounds constructed by the Konya Metropolitan Municipality have been examined and potential of the recreation areas has been investigated. The data of the research h ave been acquired through the context analysis method applied to observation and data. According to the findings of the research, the recreation areas constructed by Konya

Contemporary Journal of African Studies - Vol 1, No 1 (2013)

African Journals Online (AJOL)

African Lion Cities: Deflating the MDG success of East Asian Tigers to a Worldwide Success Story of Dense Urban Areas with Greater Capacity · EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. A Krauss, 105-110 ...

Summary big data

CERN Document Server

2014-01-01

This work offers a summary of Cukier the book: "Big Data: A Revolution That Will Transform How we Live, Work, and Think" by Viktor Mayer-Schonberg and Kenneth. Summary of the ideas in Viktor Mayer-Schonberg's and Kenneth Cukier's book: " Big Data " explains that big data is where we use huge quantities of data to make better predictions based on the fact we identify patters in the data rather than trying to understand the underlying causes in more detail. This summary highlights that big data will be a source of new economic value and innovation in the future. Moreover, it shows that it will

African American Perceptions about Crime in Cincinnati, Ohio since the 2001 Riots: Over a Decade Later

Directory of Open Access Journals (Sweden)

Derrick J. Jenkins, Sr. Ph.D.

2013-06-01

Full Text Available Introduction: In 1994, the city of Cincinnati, Ohio was named the most livable city in America by Places Rated Almanac (Clark, 1993. Couched within this distinction is the variance of perceived categorizations as the building blocks of a utopian-esque society such as a robust job market, low cost of living, affordable housing, highly educated populous, high arts and recreation and low crime rates. What happened within under a decade that transformed the national perception of the queen city from the most livable city in 1994 to the most recent and largest urban hot bed of racial and civil unrest since the Los Angeles riots? However, no study has explicitly assessed the perceptions of crime in Cincinnati, Ohio. The purpose of this study is to assess perceptions about crime in the local community since the 2001 Cincinnati riots. Methods: We surveyed 71 participants as part of a cross-sectional study designed to assess perception of crime in Cincinnati, Ohio. We conducted a questionnaire of a random sample of African American residents in Cincinnati, Ohio. The city of Cincinnati was chosen because of its large African American community and in part due to its long lasting history of police violence and riots in the African American community.  Analyses: Most participants felt the level of crime in Cincinnati, Ohio was a very serious problem. However, a large majority of both males (22.6% and females (10% believed crime in Cincinnati, Ohio was somewhat serious. The remaining respondents perceived crime in Cincinnati as serious (males: 16.1%, females: 12.5% or not at all serious (males 3.2%, females: 0%. A larger portion of the males (54.8% than females (40% responded that in the last 3- year’s crime in Cincinnati, Ohio relatively stayed the same.  Conclusion: The results indicate that there was little difference in African American perceptions of violence in Cincinnati in 2001 and 11 years later in 2012. Most people felt that violence in

Unjust waters. Climate change, flooding and the protection of poor urban communities. Experiences from six African cities

International Nuclear Information System (INIS)

2007-02-01

Floods are natural phenomena, but damage and losses from floods are the consequence of human action. The increasing climatic variability, storminess and more frequent flooding driven by climate change will affect poor urban communities far more than other people living in towns and cities. Although driven by human activities ranging from modernisation and development to land degradation by poor farmers and grazing flocks, climate change in Africa has uneven impacts, affecting the poor severely. Flooding in urban areas is not just related to heavy rainfall and extreme climatic events; it is also related to changes in the built-up areas themselves. Urbanisation aggravates flooding by restricting where floods waters can go, by covering large parts of the ground with roofs, roads and pavements, by obstructing sections of natural channels, and by building drains that ensure that water moves to rivers more rapidly than it did under natural conditions. As people crowd into African cities, these human impacts on urban land surfaces and drainage intensify. The proportions of small stream and river catchment areas that are urbanised will increase. As a result, even quite moderate storms now produce quite high flows in rivers because much more of the catchment area supplies direct surface runoff from its hard surfaces and drains. Where streams flow through a series of culverts and concrete channels, they cannot adjust to changes in the frequency of heavy rain as natural streams do. They often get obstructed by silt and urban debris, particularly when houses are built close to the channels. Such situations frequently arise where poor people build their shelters on low-lying flood plains, over swamps or above the tidewater on the coast. The effects of climate change are superimposed on these people-driven local land surface modifications. The links between changes in land use and in heavy rainfall patterns, the frequency and depth of flooding and the problems of the urban poor

South African volunteers' experiences of volunteering at the 2010 ...

African Journals Online (AJOL)

The purpose of this research was to study the phenomenon of volunteering through South African volunteers' experiences of volunteering at the 2010 FIFA World Cup, specifically in the City of Tshwane (COT) in the Tshwane Metropolitan Area (TMA). A qualitative research design was employed, with specific reference to ...

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision

OpenAIRE

Lynggaard, Per; Skouby, Knud Erik

2016-01-01

The world is entering a new era, where Internet-of-Things (IoT), smart homes, and smart cities will play an important role in meeting the so-called big challenges. In the near future, it is foreseen that the majority of the world’s population will live their lives in smart homes and in smart cities. To deal with these challenges, to support a sustainable urban development, and to improve the quality of life for citizens, a multi-disciplinary approach is needed. It seems evident, however, that...

Over 600 mobile base station measurements in Buenos Aires City, how far are general public limits?

International Nuclear Information System (INIS)

Aguirre, Anibal; Dalmas Di Giovanni, Norberto; Garcia Diaz, Javier; Douthat, Analia; Munoz, Claudio; Saint Nom, Roxana

2008-01-01

Full text: The general public worries about non ionizing radiation (NIR), produced by mobile base station aren't new, mainly in big cities like Buenos Aires where the amount of antennas of wide communication services (mobile, data links, FM Broadcasting, TV and others), are so considerable. Buenos Aires City has 3 million inhabitants in a surface of 203 km 2 and has about 700 mobile base stations between macro and micro cells. When public demand arrived to local government authorities, the first logical step was to promote a big measurement campaign to do a radiation map of the city. This measurement campaign has been done for two measurement teams, one with CITEFA NIR specialists and the other with ITBA NIR specialists, during 6 months. Local NRI measurement guidelines established that has to be taken between 12 and 16 points around NRI source in a 50 m or 100 m radius, depending on the neighbourhood buildings features (buildings located in the centre of the city aren't the same as a quiet house district). The obtained measured values had to be compared with Argentinean exposure limits, which are the same that ICNIRP limits. With over 7500 measured points in the entire city with wide band instruments (200 kHz-40 GHz), we have started our analysis. This information has been used by local authorities to upgrade a radiation map that can be consulted on the local government internet site. We have compared the obtained values with some international general public exposure limits. From this comparison we found that over 90% of measured points were under general public ICNIRP cell phone frequency limits, but the surprise was that, about 80% of them were below Russian limits (6 V/m) that are the strictest of the world. According to the obtained results and to provide a conclusion we could say that, if in a big city with a very high NIR sources density, we find a majority of lower limits values, this situation will be better in a little town with few NIR sources. However

The Impact of Oakland Freedom School's Summer Youth Program on the Psychosocial Development of African American Youth

Science.gov (United States)

Bethea, Sharon L.

2012-01-01

The present investigation considers the program outcomes of one community youth project, Leadership Excellence Inc., Oakland Freedom Schools. Oakland Freedom Schools are culturally relevant 6-week summer Language Arts enrichment programs for primarily inner-city African American youth aged 5 to 14 years. In this study, 79 African American youth…

African ancestry protects against Alzheimer's disease-related neuropathology.

Science.gov (United States)

Schlesinger, D; Grinberg, L T; Alba, J G; Naslavsky, M S; Licinio, L; Farfel, J M; Suemoto, C K; de Lucena Ferretti, R E; Leite, R E P; de Andrade, M P; dos Santos, A C F; Brentani, H; Pasqualucci, C A; Nitrini, R; Jacob-Filho, W; Zatz, M

2013-01-01

Previous studies in dementia epidemiology have reported higher Alzheimer's disease rates in African-Americans when compared with White Americans. To determine whether genetically determined African ancestry is associated with neuropathological changes commonly associated with dementia, we analyzed a population-based brain bank in the highly admixed city of São Paulo, Brazil. African ancestry was estimated through the use of previously described ancestry-informative markers. Risk of presence of neuritic plaques, neurofibrillary tangles, small vessel disease, brain infarcts and Lewy bodies in subjects with significant African ancestry versus those without was determined. Results were adjusted for multiple environmental risk factors, demographic variables and apolipoprotein E genotype. African ancestry was inversely correlated with neuritic plaques (P=0.03). Subjects with significant African ancestry (n=112, 55.4%) showed lower prevalence of neuritic plaques in the univariate analysis (odds ratio (OR) 0.72, 95% confidence interval (CI) 0.55-0.95, P=0.01) and when adjusted for age, sex, APOE genotype and environmental risk factors (OR 0.43, 95% CI 0.21-0.89, P=0.02). There were no significant differences for the presence of other neuropathological alterations. We show for the first time, using genetically determined ancestry, that African ancestry may be highly protective of Alzheimer's disease neuropathology, functioning through either genetic variants or unknown environmental factors. Epidemiological studies correlating African-American race/ethnicity with increased Alzheimer's disease rates should not be interpreted as surrogates of genetic ancestry or considered to represent African-derived populations from the developing nations such as Brazil.

Big Data en surveillance, deel 1 : Definities en discussies omtrent Big Data

NARCIS (Netherlands)

Timan, Tjerk

2016-01-01

Naar aanleiding van een (vrij kort) college over surveillance en Big Data, werd me gevraagd iets dieper in te gaan op het thema, definities en verschillende vraagstukken die te maken hebben met big data. In dit eerste deel zal ik proberen e.e.a. uiteen te zetten betreft Big Data theorie en

Smart Home and Smart City Solutions enabled by 5G, IoT, AAI and CoT Services

DEFF Research Database (Denmark)

Skouby, Knud Erik; Lynggaard, Per

2014-01-01

Future 5G technologies are expected to connect the world from the largest megacities to the smallest internet of things in an always online fashion. Such a connected hierarchy must combine the smart cities, the smart homes, and the internet of things into one large coherent infrastructure...... such as interconnected internet of things, smart homes with artificial intelligence, and a platform for new combined smart home and smart city services based on big-data....

Characterizing Big Data Management

OpenAIRE

Rogério Rossi; Kechi Hirama

2015-01-01

Big data management is a reality for an increasing number of organizations in many areas and represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial to facilitate the management of big data in any kind of organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management can be supported by these three dimensions: t...

Cities and Energy Consumption: a Critical Review

Directory of Open Access Journals (Sweden)

Carmela Gargiulo

2017-12-01

Full Text Available The relationship between cities and energy consumption has been of great interest for the scientific community for over twenty years. Most of the energy consumption, indeed, occurs in cities because of the high concentration of human activities. Thus, cities are responsible for a big share of carbon dioxide emissions (CO2. However, the debate on this topic is still open, mainly because of the heterogeneity of published studies in the selection, definition and measurement of the urban features influencing energy consumption and CO2 emissions, as well as in the choice of the energy sectors to be considered, in the territorial scale of analysis, and in the geographical distribution of the sample. Therefore, the goal of this research is to systematize and compare the approach, methodology and results of the relevant literature on the relationship between cities and energy consumption over the last twenty years. Furthermore, this critical review identifies the knowledge gap between what is known and what is still under debate and, based on that, it proposes a conceptual framework that will help to outline a new direction for future research and support local policy makers in the definition of strategies and actions that can effectively reduce urban energy use and CO2 emissions.

An Exploration of "Hyper-Local" Community-University Engagement in the Development of Smart Cities

Science.gov (United States)

Leigh, Elaine W.

2017-01-01

The use of big data in smart cities poses new questions about higher education and community-university engagement practices in addressing longstanding social and economic exclusion in urban communities. Drawing on transdisciplinary ideas in higher education, cultural theory, and science and technology studies, primary concerns in the era of big…

Mapping Criminal Governance in African Cities | CRDI - Centre de ...

International Development Research Centre (IDRC) Digital Library (Canada)

Researchers will consider areas of the two cities where organized criminal networks have usurped the role of the state or filled a gap resulting from the absence of state capacity; explore the question of legitimacy in areas where drug lords or community gangs have come to be considered more loyal to community interests ...

Exploring the Notion of the Family Friendly City

Science.gov (United States)

Provi Drianda, Riela

2018-05-01

There is a common perception that downtown areas will never attract families and big cities are not the best place to raise children. Particularly the downtown areas of cities been depicted as the place where criminals, prostitutes, drug-sellers, and other dangerous strangers live. People with children are more likely to look for the suburbs to find bigger housing with more affordable prices, cleaner air, richer nature, a slower lifestyle, and safer environment. However, living in the modern suburb is not always easy and cheap, especially for those who need to commute to the central city. Dealing with the long commutes can be stressful and it affects the health, happiness, and well-being of family members. As the number of modern families with both parents in the workforce is rising, the demand to live closer to the workplace is getting stronger and growing. In some parts of the world, more families increasingly want to live in the cities. This trend can be seen in the United States, Japan, Korea, and Canada. Being family-friendly has become increasingly important for modern cities as more millennial generation show the tendency to raise their families in the urban area. Moreover, it is predicted that two-thirds of world’s population will live in cities by 2030. To accommodate the growing population, in particular, those with children, modern cities should be developed to suit urban families. But what criteria and qualities make one city more family-friendly than another? What would a family-friendly city look like? To date, the number studies exploring the notion of the family-friendly city has been very limited. Most studies have been focusing on the notion of family-friendly dwellings, family-friendly workplaces, or child-friendly cities. This paper brings together and examines the dominant and recurring ideas about the family-friendly city represented in the relevant literature and current urban practices. This paper also questions whether the concept of the

Big Data in der Cloud

DEFF Research Database (Denmark)

Leimbach, Timo; Bachlechner, Daniel

2014-01-01

Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)......Technology assessment of big data, in particular cloud based big data services, for the Office for Technology Assessment at the German federal parliament (Bundestag)...

An analysis of cross-sectional differences in big and non-big public accounting firms' audit programs

NARCIS (Netherlands)

Blokdijk, J.H. (Hans); Drieenhuizen, F.; Stein, M.T.; Simunic, D.A.

2006-01-01

A significant body of prior research has shown that audits by the Big 5 (now Big 4) public accounting firms are quality differentiated relative to non-Big 5 audits. This result can be derived analytically by assuming that Big 5 and non-Big 5 firms face different loss functions for "audit failures"

Big Data is invading big places as CERN

CERN Multimedia

CERN. Geneva

2017-01-01

Big Data technologies are becoming more popular with the constant grow of data generation in different fields such as social networks, internet of things and laboratories like CERN. How is CERN making use of such technologies? How machine learning is applied at CERN with Big Data technologies? How much data we move and how it is analyzed? All these questions will be answered during the talk.

The big bang

International Nuclear Information System (INIS)

Chown, Marcus.

1987-01-01

The paper concerns the 'Big Bang' theory of the creation of the Universe 15 thousand million years ago, and traces events which physicists predict occurred soon after the creation. Unified theory of the moment of creation, evidence of an expanding Universe, the X-boson -the particle produced very soon after the big bang and which vanished from the Universe one-hundredth of a second after the big bang, and the fate of the Universe, are all discussed. (U.K.)

Solar retinopathy in Benin City, Nigeria | Ukponmwan | West African ...

African Journals Online (AJOL)

The case reports of three patients who were seen at the University of Benin Teaching Hospital Benin City with a diagnosis of solar maculopathy are presented. There was good visual recovery in two of the patients. This report shows the effect on the retina of direct sun gazing. The need to use protective filters is emphasized.

Small Big Data Congress 2017

NARCIS (Netherlands)

Doorn, J.

2017-01-01

TNO, in collaboration with the Big Data Value Center, presents the fourth Small Big Data Congress! Our congress aims at providing an overview of practical and innovative applications based on big data. Do you want to know what is happening in applied research with big data? And what can already be

Big data opportunities and challenges

CERN Document Server

2014-01-01

This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data.

Relationship between air pollutants and economic development of the provincial capital cities in China during the past decade.

Directory of Open Access Journals (Sweden)

Yunpeng Luo

Full Text Available With the economic development of China, air pollutants are also growing rapidly in recent decades, especially in big cities of the country. To understand the relationship between economic condition and air pollutants in big cities, we analysed the socioeconomic indictors such as Gross Regional Product per capita (GRP per capita, the concentration of air pollutants (PM10, SO2, NO2 and the air pollution index (API from 2003 to 2012 in 31 provincial capitals of mainland China. The three main industries had a quadratic correlation with NO2, but a negative relationship with PM10 and SO2. The concentration of air pollutants per ten thousand yuan decreased with the multiplying of GRP in the provincial cities. The concentration of air pollutants and API in the provincial capital cities showed a declining trend or inverted-U trend with the rise of GRP per capita, which provided a strong evidence for the Environmental Kuznets Curve (EKC, that the environmental quality first declines, then improves, with the income growth. The results of this research improved our understanding of the alteration of atmospheric quality with the increase of social economy and demonstrated the feasibility of sustainable development for China.

Food insecurity, overweight and obesity among low-income African-American families in Baltimore City: associations with food-related perceptions.

Science.gov (United States)

Vedovato, Gabriela M; Surkan, Pamela J; Jones-Smith, Jessica; Steeves, Elizabeth Anderson; Han, Eunkyung; Trude, Angela Cb; Kharmats, Anna Y; Gittelsohn, Joel

2016-06-01

To examine associations between food insecurity, excess body weight, psychosocial factors and food behaviours among low-income African-American families. Cross-sectional survey of participants in the baseline evaluation of the B'More Healthy Communities for Kids (BHCK) obesity prevention trial. We collected data on socio-economic factors, food source destinations, acquiring food, preparation methods, psychosocial factors, beliefs and attitudes, participation in food assistance programmes, anthropometry and food security. We used principal component analysis to identify patterns of food source destinations and logistic regression to examine associations. Fourteen low-income, predominantly African-American neighbourhoods in Baltimore City, MD, USA. Two hundred and ninety-eight adult caregiver-child (10-14 years old) dyads. Of households, 41·6 % had some level of food insecurity and 12·4 % experienced some level of hunger. Food-insecure participants with hunger were significantly more likely to be unemployed and to have lower incomes. We found high rates of excess body weight (overweight and obesity) among adults and children (82·8 % and 37·9 % among food insecure without hunger, 89·2 % and 45·9 % among food insecure with hunger, respectively), although there were no significant differences by food security status. Food source usage patterns, food acquisition, preparation, knowledge, self-efficacy and intentions did not differ by food security. Food security was associated with perceptions that healthy foods are affordable and convenient. Greater caregiver body satisfaction was associated with food insecurity and excess body weight. In this setting, obesity and food insecurity are major problems. For many food-insecure families, perceptions of healthy foods may serve as additional barriers to their purchase and consumption.

Big Data and Neuroimaging.

Science.gov (United States)

Webb-Vargas, Yenny; Chen, Shaojie; Fisher, Aaron; Mejia, Amanda; Xu, Yuting; Crainiceanu, Ciprian; Caffo, Brian; Lindquist, Martin A

2017-12-01

Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.

Big Data; A Management Revolution : The emerging role of big data in businesses

OpenAIRE

Blasiak, Kevin

2014-01-01

Big data is a term that was coined in 2012 and has since then emerged to one of the top trends in business and technology. Big data is an agglomeration of different technologies resulting in data processing capabilities that have been unreached before. Big data is generally characterized by 4 factors. Volume, velocity and variety. These three factors distinct it from the traditional data use. The possibilities to utilize this technology are vast. Big data technology has touch points in differ...

Social big data mining

CERN Document Server

Ishikawa, Hiroshi

2015-01-01

Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

Racial/Ethnic Disparities at the End of an HIV Epidemic: Persons Who Inject Drugs in New York City, 2011-2015.

Science.gov (United States)

Des Jarlais, Don C; Arasteh, Kamyar; McKnight, Courtney; Feelemyer, Jonathan; Tross, Susan; Perlman, David; Friedman, Samuel; Campbell, Aimee

2017-07-01

To examine whether racial/ethnic disparities persist at the "end of the HIV epidemic" (prevalence of untreated HIV infection New York City. We recruited 2404 PWID entering New York City substance use treatment in 2001 to 2005 and 2011 to 2015. We conducted a structured interview, and testing for HIV and herpes simplex virus 2 (HSV-2; a biomarker for high sexual risk). We estimated incidence by using newly diagnosed cases of HIV. Disparity analyses compared HIV, untreated HIV, HIV-HSV-2 coinfection, HIV monoinfection, and estimated HIV incidence among Whites, African Americans, and Latinos. By 2011 to 2015, Whites, African Americans, and Latino/as met both criteria of our operational "end-of-the-epidemic" definition. All comparisons that included HIV-HSV-2-coinfected persons had statistically significant higher rates of HIV among racial/ethnic minorities. No comparisons limited to HIV monoinfected persons were significant. "End-of-the-epidemic" criteria were met among White, African American, and Latino/a PWID in New York City, but elimination of disparities may require a greater focus on PWID with high sexual risk.

Cryptography for Big Data Security

Science.gov (United States)

2015-07-13

Cryptography for Big Data Security Book Chapter for Big Data: Storage, Sharing, and Security (3S) Distribution A: Public Release Ariel Hamlin1 Nabil...Email: arkady@ll.mit.edu ii Contents 1 Cryptography for Big Data Security 1 1.1 Introduction...48 Chapter 1 Cryptography for Big Data Security 1.1 Introduction With the amount

Data: Big and Small.

Science.gov (United States)

Jones-Schenk, Jan

2017-02-01

Big data is a big topic in all leadership circles. Leaders in professional development must develop an understanding of what data are available across the organization that can inform effective planning for forecasting. Collaborating with others to integrate data sets can increase the power of prediction. Big data alone is insufficient to make big decisions. Leaders must find ways to access small data and triangulate multiple types of data to ensure the best decision making. J Contin Educ Nurs. 2017;48(2):60-61. Copyright 2017, SLACK Incorporated.

Big Data Revisited

DEFF Research Database (Denmark)

Kallinikos, Jannis; Constantiou, Ioanna

2015-01-01

We elaborate on key issues of our paper New games, new rules: big data and the changing context of strategy as a means of addressing some of the concerns raised by the paper’s commentators. We initially deal with the issue of social data and the role it plays in the current data revolution...... and the technological recording of facts. We further discuss the significance of the very mechanisms by which big data is produced as distinct from the very attributes of big data, often discussed in the literature. In the final section of the paper, we qualify the alleged importance of algorithms and claim...... that the structures of data capture and the architectures in which data generation is embedded are fundamental to the phenomenon of big data....

The role of church youth in the transformation agenda of South African cities

Directory of Open Access Journals (Sweden)

Eugene Baron

2017-10-01

Full Text Available The churches in City of Tshwane have incredible youth capital. There is so much energy and passion that fill the concrete walls of the mushrooming churches. This article emerges from a research that was conducted to explore religious innovation and competition amidst demographic and social change among churches in the City of Tshwane. The data of the study suggest that the impetus behind most of the innovation and development in the churches is borne from the hearts and minds of the young people. The striking involvement of the youth in the congregations, their participation and also the reflection in the data in terms of youth agency highlight the concern on their involvement in urban, social change, with specific reference to the City of Tshwane. The article assesses the participation of the church youth in the transformation of the city.

Big Data in industry

Science.gov (United States)

Latinović, T. S.; Preradović, D. M.; Barz, C. R.; Latinović, M. T.; Petrica, P. P.; Pop-Vadean, A.

2016-08-01

The amount of data at the global level has grown exponentially. Along with this phenomena, we have a need for a new unit of measure like exabyte, zettabyte, and yottabyte as the last unit measures the amount of data. The growth of data gives a situation where the classic systems for the collection, storage, processing, and visualization of data losing the battle with a large amount, speed, and variety of data that is generated continuously. Many of data that is created by the Internet of Things, IoT (cameras, satellites, cars, GPS navigation, etc.). It is our challenge to come up with new technologies and tools for the management and exploitation of these large amounts of data. Big Data is a hot topic in recent years in IT circles. However, Big Data is recognized in the business world, and increasingly in the public administration. This paper proposes an ontology of big data analytics and examines how to enhance business intelligence through big data analytics as a service by presenting a big data analytics services-oriented architecture. This paper also discusses the interrelationship between business intelligence and big data analytics. The proposed approach in this paper might facilitate the research and development of business analytics, big data analytics, and business intelligence as well as intelligent agents.

Urban environmental and economic performance linked to sustainability: Evidence from big and medium size Chinese cities

NARCIS (Netherlands)

M.P. van Dijk (Meine Pieter); Z. Mingshun (Zhang)

2008-01-01

textabstractThis paper is based on research in Chinese cities. It addresses the issues related to urban environmental performance and sustainability in emerging Chinese cities. The result shows that: (1) To basically control the degradation of urban environment the minimum per capita GDP should be

Explosive growth in African combustion emissions from 2005 to 2030

International Nuclear Information System (INIS)

Liousse, C; Rosset, R; Assamoi, E; Criqui, P; Granier, C

2014-01-01

Emissions of gases and particles from the combustion of fossil fuels and biofuels in Africa are expected to increase significantly in the near future due to the rapid growth of African cities and megacities. There is currently no regional emissions inventory that provides estimates of anthropogenic combustion for the African continent. This work provides a quantification of the evolution of African combustion emissions from 2005 to 2030, using a bottom-up method. This inventory predicts very large increases in black carbon, organic carbon, CO, NO x , SO 2 and non-methane hydrocarbon emissions if no emission regulations are implemented. This paper discusses the effectiveness of scenarios involving certain fuels, specific to Africa in each activity sector and each region (western, eastern, northern and southern Africa), to reduce the emissions. The estimated trends in African emissions are consistent with emissions provided by global inventories, but they display a larger range of values. African combustion emissions contributed significantly to global emissions in 2005. This contribution will increase more significantly by 2030: organic carbon emissions will for example make up 50% of the global emissions in 2030. Furthermore, we show that the magnitude of African anthropogenic emissions could be similar to African biomass burning emissions around 2030. (paper)

Big Data Analytics An Overview

Directory of Open Access Journals (Sweden)

Jayshree Dwivedi

2015-08-01

Full Text Available Big data is a data beyond the storage capacity and beyond the processing power is called big data. Big data term is used for data sets its so large or complex that traditional data it involves data sets with sizes. Big data size is a constantly moving target year by year ranging from a few dozen terabytes to many petabytes of data means like social networking sites the amount of data produced by people is growing rapidly every year. Big data is not only a data rather it become a complete subject which includes various tools techniques and framework. It defines the epidemic possibility and evolvement of data both structured and unstructured. Big data is a set of techniques and technologies that require new forms of assimilate to uncover large hidden values from large datasets that are diverse complex and of a massive scale. It is difficult to work with using most relational database management systems and desktop statistics and visualization packages exacting preferably massively parallel software running on tens hundreds or even thousands of servers. Big data environment is used to grab organize and resolve the various types of data. In this paper we describe applications problems and tools of big data and gives overview of big data.

Strengthening African Union for African Integration: An African ...

African Journals Online (AJOL)

Log in or Register to get access to full text downloads. ... in the international state system and seek for African initiative in solving African problems. ... of the African Union by examining the efforts of African Leaders towards African integration, ...

Big Data in Transport Geography

DEFF Research Database (Denmark)

Reinau, Kristian Hegner; Agerholm, Niels; Lahrmann, Harry Spaabæk

for studies that explicitly compare the quality of this new type of data to traditional data sources. With the current focus on Big Data in the transport field, public transport planners are increasingly looking towards smart card data to analyze and optimize flows of passengers. However, in many cases...... it is not all public transport passengers in a city, region or country with a smart card system that uses the system, and in such cases, it is important to know what biases smart card data has in relation to giving a complete view upon passenger flows. This paper therefore analyses the quality and biases...... of smart card data in Denmark, where public transport passengers may use a smart card, may pay with cash for individual trips or may hold a season ticket for a certain route. By analyzing smart card data collected in Denmark in relation to data on sales of cash tickets, sales of season tickets, manual...

Big bang nucleosynthesis

International Nuclear Information System (INIS)

Boyd, Richard N.

2001-01-01

The precision of measurements in modern cosmology has made huge strides in recent years, with measurements of the cosmic microwave background and the determination of the Hubble constant now rivaling the level of precision of the predictions of big bang nucleosynthesis. However, these results are not necessarily consistent with the predictions of the Standard Model of big bang nucleosynthesis. Reconciling these discrepancies may require extensions of the basic tenets of the model, and possibly of the reaction rates that determine the big bang abundances

Construction of a groundwater-flow model for the Big Sioux Aquifer using airborne electromagnetic methods, Sioux Falls, South Dakota

Science.gov (United States)

Valder, Joshua F.; Delzer, Gregory C.; Carter, Janet M.; Smith, Bruce D.; Smith, David V.

2016-09-28

The city of Sioux Falls is the fastest growing community in South Dakota. In response to this continued growth and planning for future development, Sioux Falls requires a sustainable supply of municipal water. Planning and managing sustainable groundwater supplies requires a thorough understanding of local groundwater resources. The Big Sioux aquifer consists of glacial outwash sands and gravels and is hydraulically connected to the Big Sioux River, which provided about 90 percent of the city’s source-water production in 2015. Managing sustainable groundwater supplies also requires an understanding of groundwater availability. An effective mechanism to inform water management decisions is the development and utilization of a groundwater-flow model. A groundwater-flow model provides a quantitative framework for synthesizing field information and conceptualizing hydrogeologic processes. These groundwater-flow models can support decision making processes by mapping and characterizing the aquifer. Accordingly, the city of Sioux Falls partnered with the U.S. Geological Survey to construct a groundwater-flow model. Model inputs will include data from advanced geophysical techniques, specifically airborne electromagnetic methods.

Perceived Neighborhood Quality and HIV-related Stigma among African Diasporic Youth; Results from the African, Caribbean, and Black Youth (ACBY) Study.

Science.gov (United States)

Kerr, Jelani; Northington, Toya; Sockdjou, Tamara; Maticka-Tyndale, Eleanor

2018-01-01

Socio-environmental factors such as neighborhood quality are increasingly recognized drivers of HIV disparities. Additionally, HIV- related stigma heightens HIV vulnerability among youth in the African Diaspora. However, little research examines the intersection of neighborhood quality and HIV- related stigma. This study uses survey data (N=495) from African, Caribbean, and Black youth in a midsized city in Ontario, Canada to address this research deficit. Analysis of variance and multivariate ordinary least squares regressions were conducted to determine differences in HIV- related stigma by neighborhood quality, experiences of discrimination, HIV- knowledge, and demographic factors. Residents in more socially disordered neighborhoods (p<.05), males (p<.0001), African- Muslim youth (p<.01), and individuals with lower HIV- knowledge (p<.0001) endorsed stigmatizing beliefs more often. Addressing neighborhood disadvantage may have implications for HIV- related stigma. More research should be conducted to understand the impact of socio- environmental disadvantage and HIV- related stigma.

Climate Change Adaptation in Cities: the conditions for success. Feedback from Sub-Saharan Africa, South Africa, and Colombia

International Nuclear Information System (INIS)

Paugam, Anne; Henry, Alain

2014-11-01

Until recently, the actions to promote climate change adaptation have mainly taken the form of occasional projects for reducing vulnerabilities (infrastructures for rain drainage, early-warning systems, etc.). But for greater effective action, it is better to both develop real public policies dedicated to this theme and to incorporate this concern into the other sectoral policies and in national strategies. To this end, AFD launched three research projects to grasp a better understanding of the conditions needed for effective adaptation. The three studies look into the institutional, political, and social factors that make for success or failure in adaptation programs on a city scale. The cities studied were selected because they have initiated adaptation procedures that enable feedback not only on how adaptation has been taken into account within local priorities, but also on the implementation of strategies, which represents a relatively new research subject. The study Institutional Pathways for Local Climate Adaptation was produced by South African academics from the University of Cape Town and University of KwaZulu- Natal in 2012-2013. It identifies the political, institutional and social dimensions of effective adaptation at the municipal level, in three South African cities (Durban, Cape Town, Theewaterskloof). The 2014 study Understanding the Assessment and Reduction of Vulnerability to Climate Change in African Cities by the British research institute International Institute for Environment and Development (IIED) is more sociological and concerns social vulnerability to climate change in African cities, especially in poor neighborhoods (case studies in Kampala, Accra, and Dakar). Finally, in 2013 the Colombian research institute Fedesarrollo and the Institut de recherche et debat sur la gouvernance (IRG) produced the set of documents Ciudades y cambio climatico en Colombia, which contains an institutional analysis of climate change management in 11

The ethics of big data in big agriculture

OpenAIRE

Carbonell (Isabelle M.)

2016-01-01

This paper examines the ethics of big data in agriculture, focusing on the power asymmetry between farmers and large agribusinesses like Monsanto. Following the recent purchase of Climate Corp., Monsanto is currently the most prominent biotech agribusiness to buy into big data. With wireless sensors on tractors monitoring or dictating every decision a farmer makes, Monsanto can now aggregate large quantities of previously proprietary farming data, enabling a privileged position with unique in...

The big data-big model (BDBM) challenges in ecological research

Science.gov (United States)

Luo, Y.

2015-12-01

The field of ecology has become a big-data science in the past decades due to development of new sensors used in numerous studies in the ecological community. Many sensor networks have been established to collect data. For example, satellites, such as Terra and OCO-2 among others, have collected data relevant on global carbon cycle. Thousands of field manipulative experiments have been conducted to examine feedback of terrestrial carbon cycle to global changes. Networks of observations, such as FLUXNET, have measured land processes. In particular, the implementation of the National Ecological Observatory Network (NEON), which is designed to network different kinds of sensors at many locations over the nation, will generate large volumes of ecological data every day. The raw data from sensors from those networks offer an unprecedented opportunity for accelerating advances in our knowledge of ecological processes, educating teachers and students, supporting decision-making, testing ecological theory, and forecasting changes in ecosystem services. Currently, ecologists do not have the infrastructure in place to synthesize massive yet heterogeneous data into resources for decision support. It is urgent to develop an ecological forecasting system that can make the best use of multiple sources of data to assess long-term biosphere change and anticipate future states of ecosystem services at regional and continental scales. Forecasting relies on big models that describe major processes that underlie complex system dynamics. Ecological system models, despite great simplification of the real systems, are still complex in order to address real-world problems. For example, Community Land Model (CLM) incorporates thousands of processes related to energy balance, hydrology, and biogeochemistry. Integration of massive data from multiple big data sources with complex models has to tackle Big Data-Big Model (BDBM) challenges. Those challenges include interoperability of multiple

A Big Video Manifesto

DEFF Research Database (Denmark)

Mcilvenny, Paul Bruce; Davidsen, Jacob

2017-01-01

and beautiful visualisations. However, we also need to ask what the tools of big data can do both for the Humanities and for more interpretative approaches and methods. Thus, we prefer to explore how the power of computation, new sensor technologies and massive storage can also help with video-based qualitative......For the last few years, we have witnessed a hype about the potential results and insights that quantitative big data can bring to the social sciences. The wonder of big data has moved into education, traffic planning, and disease control with a promise of making things better with big numbers...

Identifying Dwarfs Workloads in Big Data Analytics

OpenAIRE

Gao, Wanling; Luo, Chunjie; Zhan, Jianfeng; Ye, Hainan; He, Xiwen; Wang, Lei; Zhu, Yuqing; Tian, Xinhui

2015-01-01

Big data benchmarking is particularly important and provides applicable yardsticks for evaluating booming big data systems. However, wide coverage and great complexity of big data computing impose big challenges on big data benchmarking. How can we construct a benchmark suite using a minimum set of units of computation to represent diversity of big data analytics workloads? Big data dwarfs are abstractions of extracting frequently appearing operations in big data computing. One dwarf represen...

Overview of urban growth simulation: With examples of results from three SA cities

CSIR Research Space (South Africa)

Waldeck, L

2013-11-01

Full Text Available This presentation provides an overview of Urban Growth Simulation as a risk free means of assessing the future outcome of major policy and investment decisions with some examples of scenarios that were simulated in different South African cities...

Applications of Big Data in Education

OpenAIRE

Faisal Kalota

2015-01-01

Big Data and analytics have gained a huge momentum in recent years. Big Data feeds into the field of Learning Analytics (LA) that may allow academic institutions to better understand the learners' needs and proactively address them. Hence, it is important to have an understanding of Big Data and its applications. The purpose of this descriptive paper is to provide an overview of Big Data, the technologies used in Big Data, and some of the applications of Big Data in educa...

Exploitation of the Urban African Novel for Women's Liberation in ...

African Journals Online (AJOL)

For instance, female characters like Esi the protagonist and her friend Opokuya, in spite of attempts to assert their independence and autonomy because of their economic empowerment as wage – earners in the city, still treasure the African traditional values of marriage. To corroborate the fact that foreign or nonindigenous ...

Big Data Semantics

NARCIS (Netherlands)

Ceravolo, Paolo; Azzini, Antonia; Angelini, Marco; Catarci, Tiziana; Cudré-Mauroux, Philippe; Damiani, Ernesto; Mazak, Alexandra; van Keulen, Maurice; Jarrar, Mustafa; Santucci, Giuseppe; Sattler, Kai-Uwe; Scannapieco, Monica; Wimmer, Manuel; Wrembel, Robert; Zaraket, Fadi

2018-01-01

Big Data technology has discarded traditional data modeling approaches as no longer applicable to distributed data processing. It is, however, largely recognized that Big Data impose novel challenges in data and infrastructure management. Indeed, multiple components and procedures must be

Vertical cities - the new form of high-rise construction evolution

Science.gov (United States)

Akristiniy, Vera A.; Boriskina, Yulia I.

2018-03-01

The article considers the basic principles of the vertical cities formation for the creation of a comfortable urban environment in conditions of rapid population growth and limited territories. As urban growth increases, there is a need for new concepts and approaches to urban space planning through the massive introduction of high-rise construction. The authors analyzed and systematized the list of high-tech solutions for arrangement the space of vertical cities, which are an integral part of the creation of the methodology for forming a high-rise buildings. Their concept differs in scale, presence of the big areas of public spaces, tendencies to self-sufficiency and sustainability, opportunity to offer the new unique comfortable environment to the population living in them.

Using City Branding as the Part of the Intersection Point of Modernization and Tradition. Case Study: Surakarta City (Solo, Indonesia

Directory of Open Access Journals (Sweden)

Nursanty Eko

2018-01-01

Full Text Available To recognize a city is part of a city branding effort. By recognizing the dwelling, the city's inhabitants are able to create a spatial space in accordance with their easily recognizable cultural identity. In city branding, the memory of a city space is often the main ingredient in strengthening the identity. The efforts to use place making forces at this time are often used to solve the failures in multi-cultural spaces. Evolution in history is part of dynamic space planning as part of the identity of a city.The purpose of this research is to reveal the relationship between the formation of tradition spaces that are able to function in a modern way. The pattern of this relationship will produce spatial planning patterns with special characters as well. Humans as space users play a very big role as a space builder, where the decisions they make are often based on the tradition they have used for generations.The methods used in this study are qualitative, deductive using the theories that have been there before. Field research is used as empirical data in the form of interviews, photographs and field observations was conducted in various existing city spaces in Solo with the purpose to discover the existence of distinctive spatial patterns based on the typical behavior that has been passed down continuously as a result of the cultural process. The resulting discovery is a significant pattern of relationships between humans and their decision-making abilities in city space. This decision is based on self-awareness as part of the space they occupy. In a group, this awareness is part of the tradition's heritage that continues to develop in accordance with the human intellectual development.

Comparative validity of brief to medium-length Big Five and Big Six personality questionnaires

NARCIS (Netherlands)

Thalmayer, A.G.; Saucier, G.; Eigenhuis, A.

2011-01-01

A general consensus on the Big Five model of personality attributes has been highly generative for the field of personality psychology. Many important psychological and life outcome correlates with Big Five trait dimensions have been established. But researchers must choose between multiple Big Five

The CCAA program aims to improve the capacity of African countries ...

International Development Research Centre (IDRC) Digital Library (Canada)

CCAA

of African countries to adapt to climate change in ways ... training. • Communications and networking ... in Cities of Portuguese-speaking Small Island Developing States – ... This includes training in topics core to addressing climate ... Program (ACCFP) to deepen Africa's capacity in policy, teaching .... and rural livelihoods.

Stereotype or reality: another look at alcohol and drug use among African American children.

Science.gov (United States)

Bass, L E; Kane-Williams, E

1993-01-01

The Center for Substance Abuse Prevention's Division of Communications Programs launched its Urban Youth Public Education Campaign in late 1990 to target African American youth in 14 cities with prevention messages about alcohol and other drugs. During the market research phase of the campaign, the Center sought to determine the extent inner city African American children are impacted by alcohol and other drugs and how widespread the use of these substances is among younger children. Is it rampant and universal, as some press accounts have it, or are the images portrayed by the news media, by popular movies, and by other communication outlets fueling harmful stereotypes? The campaign's market research consisted of in-depth reviews of the literature, of personal communications, conference proceedings, grant and contract reports, monographs, newspaper and magazine articles, and of national survey results, and the analysis of findings from focus groups conducted with 143 African American children living in several urban environments. Although information and conclusions gleaned from the market research revealed a longstanding trend of comparatively lower rates of alcohol and drug use by African American youth, also disclosed was a need for an expanded framework to address the problems of substance abuse within the African American community. An expanded framework acknowledges the dimension of substance use and abuse but also addresses three other dimensions--involvement, exposure, and victimization--that unfold as having major significance for this population of youth who live in urban, high-risk environments.

Big data need big theory too.

Science.gov (United States)

Coveney, Peter V; Dougherty, Edward R; Highfield, Roger R

2016-11-13

The current interest in big data, machine learning and data analytics has generated the widespread impression that such methods are capable of solving most problems without the need for conventional scientific methods of inquiry. Interest in these methods is intensifying, accelerated by the ease with which digitized data can be acquired in virtually all fields of endeavour, from science, healthcare and cybersecurity to economics, social sciences and the humanities. In multiscale modelling, machine learning appears to provide a shortcut to reveal correlations of arbitrary complexity between processes at the atomic, molecular, meso- and macroscales. Here, we point out the weaknesses of pure big data approaches with particular focus on biology and medicine, which fail to provide conceptual accounts for the processes to which they are applied. No matter their 'depth' and the sophistication of data-driven methods, such as artificial neural nets, in the end they merely fit curves to existing data. Not only do these methods invariably require far larger quantities of data than anticipated by big data aficionados in order to produce statistically reliable results, but they can also fail in circumstances beyond the range of the data used to train them because they are not designed to model the structural characteristics of the underlying system. We argue that it is vital to use theory as a guide to experimental design for maximal efficiency of data collection and to produce reliable predictive models and conceptual knowledge. Rather than continuing to fund, pursue and promote 'blind' big data projects with massive budgets, we call for more funding to be allocated to the elucidation of the multiscale and stochastic processes controlling the behaviour of complex systems, including those of life, medicine and healthcare.This article is part of the themed issue 'Multiscale modelling at the physics-chemistry-biology interface'. © 2015 The Authors.

Climate change induced risk analysis of Dar es Salaam city (Tanzania)

Science.gov (United States)

Topa, Maria Elena; Herslund, Lise; Cavan, Gina; Printz, Andreas; Simonis, Ingo; Bucchignani, Edoardo; Jean-Baptiste, Nathalie; Hellevik, Siri; Johns, Regina; Kibassa, Deusdedit; Kweka, Clara; Magina, Fredrick; Mangula, Alpha; Mbuya, Elinorata; Uhinga, Guido; Kassenga, Gabriel; Kyessi, Alphonce; Shemdoe, Riziki; Kombe, Wilbard

2013-04-01

CLUVA (CLimate change and Urban Vulnerability in Africa; http://www.cluva.eu/) is a 3 years project, funded by the European Commission in 2010. The main objective of CLUVA is to develop context-centered methods and knowledge to be applied to African cities to assess vulnerabilities and increase knowledge on managing climate related risks. The project estimates the impacts of climate changes in the next 40 years at urban scale and downscales IPCC climate projections to evaluate specific threats to selected African test cities. These are mainly from floods, sea-level rise, droughts, heat waves, and desertification. The project evaluates and links: social vulnerability; urban green structures and ecosystem services; urban-rural interfaces; vulnerability of urban built environment and lifelines; and related institutional and governance dimensions of adaptation. The multi-scale and multi-disciplinary qualitative, quantitative and probabilistic approach of CLUVA is currently being applied to selected African test cities (Addis Ababa - Ethiopia; Dar es Salaam - Tanzania; Douala - Cameroun; Ouagadougou - Burkina Faso; St. Louis - Senegal). In particular, the poster will present preliminary findings for the Dar es Salaam case study. Dar es Salaam, which is Tanzania's largest coastal city, is exposed to floods, coastal erosion, droughts and heat waves, and highly vulnerable to impacts as a result of ineffective urban planning (about 70% unplanned settlements), poverty and lack of basic infrastructure (e.g. lack of or poor quality storm water drainage systems). Climate change could exacerbate the current situation increasing hazard-exposure alongside the impacts of development pressures which act to increase urban vulnerability for example because of informal (unregulated) urbanization. The CLUVA research team - composed of climate and environmental scientists, risk management experts, urban planners and social scientists from both European and African institutions - has

Big Data and medicine: a big deal?

Science.gov (United States)

Mayer-Schönberger, V; Ingelsson, E

2018-05-01

Big Data promises huge benefits for medical research. Looking beyond superficial increases in the amount of data collected, we identify three key areas where Big Data differs from conventional analyses of data samples: (i) data are captured more comprehensively relative to the phenomenon under study; this reduces some bias but surfaces important trade-offs, such as between data quantity and data quality; (ii) data are often analysed using machine learning tools, such as neural networks rather than conventional statistical methods resulting in systems that over time capture insights implicit in data, but remain black boxes, rarely revealing causal connections; and (iii) the purpose of the analyses of data is no longer simply answering existing questions, but hinting at novel ones and generating promising new hypotheses. As a consequence, when performed right, Big Data analyses can accelerate research. Because Big Data approaches differ so fundamentally from small data ones, research structures, processes and mindsets need to adjust. The latent value of data is being reaped through repeated reuse of data, which runs counter to existing practices not only regarding data privacy, but data management more generally. Consequently, we suggest a number of adjustments such as boards reviewing responsible data use, and incentives to facilitate comprehensive data sharing. As data's role changes to a resource of insight, we also need to acknowledge the importance of collecting and making data available as a crucial part of our research endeavours, and reassess our formal processes from career advancement to treatment approval. © 2017 The Association for the Publication of the Journal of Internal Medicine.

Assessing Big Data

DEFF Research Database (Denmark)

Leimbach, Timo; Bachlechner, Daniel

2015-01-01

In recent years, big data has been one of the most controversially discussed technologies in terms of its possible positive and negative impact. Therefore, the need for technology assessments is obvious. This paper first provides, based on the results of a technology assessment study, an overview...... of the potential and challenges associated with big data and then describes the problems experienced during the study as well as methods found helpful to address them. The paper concludes with reflections on how the insights from the technology assessment study may have an impact on the future governance of big...... data....

Big data, big responsibilities

Directory of Open Access Journals (Sweden)

Primavera De Filippi

2014-01-01

Full Text Available Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. The analysis of such data is all the more valuable to the extent that it allows for specific patterns to be found and new correlations to be made between different datasets, so as to eventually deduce or infer new information, as well as to potentially predict behaviours or assess the likelihood for a certain event to occur. This article will focus specifically on the legal and moral obligations of online operators collecting and processing large amounts of data, to investigate the potential implications of big data analysis on the privacy of individual users and on society as a whole.

Adherence treatment factors in hypertensive African American women

Directory of Open Access Journals (Sweden)

Marie N Fongwa

2008-02-01

Full Text Available Marie N Fongwa1, Lorraines S Evangelista1, Ron D Hays2, David S Martins3, David Elashoff4, Marie J Cowan1, Donald E Morisky51University of California Los Angeles School of Nursing, Los Angeles, CA, USA; 2University of California Los Angeles School of Medicine, Division of General Internal Medicine and Health Services Research, Los Angeles, CA, USA; 3To Help Everyone Clinic Inc. Los Angeles, CA, USA; 4University of California Los Angeles Public Health, Los Angeles, CA, USA; 5University of California Los Angeles School of Public Health, CA, USABackground: Hypertension among African American women is of epidemic proportions. Nonadherence to treatment contributes to uncontrolled blood pressure in this population. Factors associated with adherence to treatment in African American women are unknown. The purpose of this study was to identify factors associated with adherence to hypertension treatment in African American women.Methods: Five audio-taped focus groups were conducted with hypertensive African American women, 35 years and older receiving treatment for hypertension from an inner-city free clinic. All transcripts from the tapes were analyzed for content describing adherence to treatment factors.Findings: Factors associated with adherence to treatment in hypertensive African American women were in three main categories including: beliefs about hypertension, facilitators of adherence to treatment, and barriers to adherence to treatment.Implications: The study supports the need for education on managing hypertension and medication side effects, early screening for depression in hypertensive African Americans, development of culturally sensitive hypertension educational material, and formation of support groups for promoting adherence to treatment among African American women with hypertension.Keywords: adherence, African American, hypertension treatment factors

PROBLEM OF ECOLOGICAL NETWORK DEVELOPMENT IN BIG CITIES, USING MOSCOW AS AN EXAMPLE

Directory of Open Access Journals (Sweden)

Boyko Valeriya Mikhaylovna

2014-09-01

Full Text Available Creating stable system of protected areas in the city is practically impossible. The optimal way out of this situation is, to our mind, connected with such ecosystem management strategy that ensures spontaneous development of preserved natural ecosystems with simultaneous effective urban planting. It should be noted that the problems of the recreational ecosystem exploitation, despite many years of research, are not fully solved, and, considering recreation in urban protected areas, especially in the city, get a new trend. It seems reasonable nowadays to try to shuffle off the burden of active recreation from forest ecosystems on buffer zones. These zones should be specially created or restored because of carrying out projects on ecological rehabilitation, planted areas or natural planted areas. For the staff of the protected area system it creates additional opportunities for shifting of forces in the solution of other problems on maintaining and restoring biodiversity.

Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities

Directory of Open Access Journals (Sweden)

Alex Adim Obinikpo

2017-11-01

Full Text Available With the advent of the Internet of Things (IoT concept and its integration with the smart city sensing, smart connected health systems have appeared as integral components of the smart city services. Hard sensing-based data acquisition through wearables or invasive probes, coupled with soft sensing-based acquisition such as crowd-sensing results in hidden patterns in the aggregated sensor data. Recent research aims to address this challenge through many hidden perceptron layers in the conventional artificial neural networks, namely by deep learning. In this article, we review deep learning techniques that can be applied to sensed data to improve prediction and decision making in smart health services. Furthermore, we present a comparison and taxonomy of these methodologies based on types of sensors and sensed data. We further provide thorough discussions on the open issues and research challenges in each category.

Comparative validity of brief to medium-length Big Five and Big Six Personality Questionnaires.

Science.gov (United States)

Thalmayer, Amber Gayle; Saucier, Gerard; Eigenhuis, Annemarie

2011-12-01

A general consensus on the Big Five model of personality attributes has been highly generative for the field of personality psychology. Many important psychological and life outcome correlates with Big Five trait dimensions have been established. But researchers must choose between multiple Big Five inventories when conducting a study and are faced with a variety of options as to inventory length. Furthermore, a 6-factor model has been proposed to extend and update the Big Five model, in part by adding a dimension of Honesty/Humility or Honesty/Propriety. In this study, 3 popular brief to medium-length Big Five measures (NEO Five Factor Inventory, Big Five Inventory [BFI], and International Personality Item Pool), and 3 six-factor measures (HEXACO Personality Inventory, Questionnaire Big Six Scales, and a 6-factor version of the BFI) were placed in competition to best predict important student life outcomes. The effect of test length was investigated by comparing brief versions of most measures (subsets of items) with original versions. Personality questionnaires were administered to undergraduate students (N = 227). Participants' college transcripts and student conduct records were obtained 6-9 months after data was collected. Six-factor inventories demonstrated better predictive ability for life outcomes than did some Big Five inventories. Additional behavioral observations made on participants, including their Facebook profiles and cell-phone text usage, were predicted similarly by Big Five and 6-factor measures. A brief version of the BFI performed surprisingly well; across inventory platforms, increasing test length had little effect on predictive validity. Comparative validity of the models and measures in terms of outcome prediction and parsimony is discussed.

Big Machines and Big Science: 80 Years of Accelerators at Stanford

Energy Technology Data Exchange (ETDEWEB)

Loew, Gregory

2008-12-16

Longtime SLAC physicist Greg Loew will present a trip through SLAC's origins, highlighting its scientific achievements, and provide a glimpse of the lab's future in 'Big Machines and Big Science: 80 Years of Accelerators at Stanford.'

Dual of big bang and big crunch

International Nuclear Information System (INIS)

Bak, Dongsu

2007-01-01

Starting from the Janus solution and its gauge theory dual, we obtain the dual gauge theory description of the cosmological solution by the procedure of double analytic continuation. The coupling is driven either to zero or to infinity at the big-bang and big-crunch singularities, which are shown to be related by the S-duality symmetry. In the dual Yang-Mills theory description, these are nonsingular as the coupling goes to zero in the N=4 super Yang-Mills theory. The cosmological singularities simply signal the failure of the supergravity description of the full type IIB superstring theory

Comparative Validity of Brief to Medium-Length Big Five and Big Six Personality Questionnaires

Science.gov (United States)

Thalmayer, Amber Gayle; Saucier, Gerard; Eigenhuis, Annemarie

2011-01-01

A general consensus on the Big Five model of personality attributes has been highly generative for the field of personality psychology. Many important psychological and life outcome correlates with Big Five trait dimensions have been established. But researchers must choose between multiple Big Five inventories when conducting a study and are…

Big data for health.

Science.gov (United States)

Andreu-Perez, Javier; Poon, Carmen C Y; Merrifield, Robert D; Wong, Stephen T C; Yang, Guang-Zhong

2015-07-01

This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.

Drinking water quality in Rohri City, Sindh, Pakistan | Shar | African ...

African Journals Online (AJOL)

Groundwater and surface water samples from Rohri city were analyzed for the presence of total coliform (TC), E. coli (Ec) and heterotrophic plate count (HPC). The samples were collected before and after storage. The bacteriological analysis was carried out by membrane filtration and spread plate count (SPC) technique.

Transnational business networks of African intermediaries in China: Practices of networking and the role of experiential knowledge

Directory of Open Access Journals (Sweden)

Müller, Angelo

2013-09-01

Full Text Available Chinese cities like Hong Kong, Guangzhou or Yiwu have become major ports of call for Sub-Saharan African traders active in the import-export trade of Chinese goods to Africa. This study highlights the role of African intermediaries in the city of Guangzhou, who work as negotiators within the Sino-African trade system. Between 2008 and 2011 33 case studies were conducted, using qualitative interviews and participatory observations. A qualitative network approach was used to investigate the intermediaries’ business practices as they build up multi-local economic relations. Different forms of knowledge embodied in the business practices were of special interest for this paper. Results show the importance of multi-local forms of organisation across different nations and ethnic boundaries as well as the relevance of experiential knowledge for the success of these organisational forms. The findings may open up a research perspective on the organisation of transnational migrant business networks.

The African Organization for Research and Training in Cancer: historical perspective.

Science.gov (United States)

Mohammed, S I; Williams, C K; Ndom, P; Holland, J F

2012-10-01

The African Organization for Research and Training in Cancer (aortic) is a bilingual (English and French) nonprofit organization dedicated to the promotion of cancer control and palliation in Africa. Its mission in respect to cancer control in Africa includes support of research and training;provision of relevant and accurate information on the prevention, early diagnosis, treatment, and palliation of cancer;promotion of public awareness about cancer and reduction of the stigma associated with it.In seeking to achieve its goal of cancer control in Africa, aortic strives to unite the continent and to make a positive impact throughout the region by collaboration with health ministries and global cancer organizations. The organization's key objectives are to further research relating to cancers prevalent in Africa, to support training programs in oncology for health care workers, to deal with the challenges of creating cancer control and prevention programs, and to raise public awareness of cancer in Africa. It also plans to organize symposia, workshops, meetings, and conferences that support its mission.Founded in September 1982, aortic was active only between 1983 (when its inaugural conference was held in the City of Lome, Togo, West Africa) and the late 1980s. The organization subsequently became inactive and moribund. In 2000, a group of expatriate African physicians and scientists joined in an effort with their non-African friends and colleagues to reactivate the dormant organization. Since its reactivation, aortic has succeeded in putting cancer on the public health agenda in many African countries by highlighting Africa's urgent need for cancer control and by holding meetings every two years in various African cities. National and international cancer control organizations worldwide have recognized the challenges facing Africa and have joined in aortic's mission.

Fog Computing: An Overview of Big IoT Data Analytics

Directory of Open Access Journals (Sweden)

Muhammad Rizwan Anawar

2018-01-01

Full Text Available A huge amount of data, generated by Internet of Things (IoT, is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by the cloud before explosion growth of IoT. Fog computing structure confronts those disruptions, with powerful complement functionality of cloud framework, based on deployment of micro clouds (fog nodes at proximity edge of data sources. Particularly big IoT data analytics by fog computing structure is on emerging phase and requires extensive research to produce more proficient knowledge and smart decisions. This survey summarizes the fog challenges and opportunities in the context of big IoT data analytics on fog networking. In addition, it emphasizes that the key characteristics in some proposed research works make the fog computing a suitable platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.

Pastry Filled With Horseradish. discomfort city – how to create it

Directory of Open Access Journals (Sweden)

Konstantin Lidin

2007-07-01

Full Text Available Huge urban agglomerations of the world become bigger and more numerous. In 2000 there were 16 giant cities with population more than 10 million people, and by 2015 their number will have grown up to 21. However the biggest share of the global urban population increase falls on relatively small places with population from 500,000 to 5 million people. Within 2000-2015 the tendencies will be similar.Global urbanization engrosses more and more countries and regions. Mankind keeps on growing irregularly – population increase is concentrated in cities.It is obvious why human masses gather in big cities: the life in such cities is more comfortable than in rural area. Of course, poverty and despondent imbecility of rural life looks less attractive than city apartment and rapid rhythm of life in a megapolis. Finally, it is desire for better comfort – accommodation, activity and reasonableness of living – that leads immigrants to the city. In some cases the number of immigrants is so big that city population increases several times within the life of one generation. In other words, there are more newcomers that the natives of the city. In this case the tendency towards «discomfortization » embraces the whole megapolis. In the urban development science such effect is called «degradation of urban environment ». Tokyo and London of the seventies-nineties of the last century can be examples of this. Vsevolod Ovchinnikov describes «the Oriental capital»: «Tokyo is a hypertrophied embodiment of the problems peculiar to megapolises in general and to an overpeopled insular country in particular. This paradoxical combination of tightness and chaos, density and dispersion… Tokyo citizens have a joke that even their dogs have to wag their tails not from side to side, but upward and downward». In addition to the problems of pure air and water, transport and noise there is a tremendous ugliness of urban development. Plenty of individual beautiful

Big Data: Implications for Health System Pharmacy.

Science.gov (United States)

Stokes, Laura B; Rogers, Joseph W; Hertig, John B; Weber, Robert J

2016-07-01

Big Data refers to datasets that are so large and complex that traditional methods and hardware for collecting, sharing, and analyzing them are not possible. Big Data that is accurate leads to more confident decision making, improved operational efficiency, and reduced costs. The rapid growth of health care information results in Big Data around health services, treatments, and outcomes, and Big Data can be used to analyze the benefit of health system pharmacy services. The goal of this article is to provide a perspective on how Big Data can be applied to health system pharmacy. It will define Big Data, describe the impact of Big Data on population health, review specific implications of Big Data in health system pharmacy, and describe an approach for pharmacy leaders to effectively use Big Data. A few strategies involved in managing Big Data in health system pharmacy include identifying potential opportunities for Big Data, prioritizing those opportunities, protecting privacy concerns, promoting data transparency, and communicating outcomes. As health care information expands in its content and becomes more integrated, Big Data can enhance the development of patient-centered pharmacy services.

Generalized formal model of Big Data

OpenAIRE

Shakhovska, N.; Veres, O.; Hirnyak, M.

2016-01-01

This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the “big data” term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It is described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System ...

BigWig and BigBed: enabling browsing of large distributed datasets.

Science.gov (United States)

Kent, W J; Zweig, A S; Barber, G; Hinrichs, A S; Karolchik, D

2010-09-01

BigWig and BigBed files are compressed binary indexed files containing data at several resolutions that allow the high-performance display of next-generation sequencing experiment results in the UCSC Genome Browser. The visualization is implemented using a multi-layered software approach that takes advantage of specific capabilities of web-based protocols and Linux and UNIX operating systems files, R trees and various indexing and compression tricks. As a result, only the data needed to support the current browser view is transmitted rather than the entire file, enabling fast remote access to large distributed data sets. Binaries for the BigWig and BigBed creation and parsing utilities may be downloaded at http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/. Source code for the creation and visualization software is freely available for non-commercial use at http://hgdownload.cse.ucsc.edu/admin/jksrc.zip, implemented in C and supported on Linux. The UCSC Genome Browser is available at http://genome.ucsc.edu.

Resistance Stories of African-Brazilian Women

Directory of Open Access Journals (Sweden)

Stela Nazareth Meneghel

2005-01-01

Full Text Available This study consists of an intervention using narrative workshops as a device to stimulate the empowerment of women. Ten women, victims of gender violence, took part in a workshop developed by non-governmental organization for African-Brazilian women Maria Mulher, which gives assistance to women living in Vila Cruzeiro do Sul, in the city of Porto Alegre. The main objective of the research was to debate questions related to gender and violence, making use of stories and histories related to the feminine, specifically African-Brazilian stories. Five meetings were held, where the women told and were told stories, took part in group discussions, experiences and rituals. The workshops gave those women a space where they could tell and hear stories, take part in the rituals of the orixás [African-Brazilian deities] of the black culture and tell their personal histories using those experiences. This intervention was an attempt at invoking different subjective experiences, and made it possible to empower the women who took part in the research, contributing for the rescue of the individual and collective memory of this group.

The Challenge of City-Level Data-Gathering for Implementing SDG 11 in Africa

Science.gov (United States)

Elias, P. O.

2017-12-01

Implementing sustainable development goal 11 in Africa which includes measuring and monitoring social and economic welfare indicators at the city-level requires data of the best quality. In recent years, there have been progress in national statistics and censuses survey yet data gathering in many African countries are not accurate, timely, disaggregated and widely usable. This often diminish the capability of governments to tackle urban development challenges, which are particularly exacerbated by inequality, poverty and uncontrolled development especially in cities. To support knowledge driven decisions and policies there is need to improve data-gathering systems about health, education, and safety, economy and poverty, land, housing and environment, trade and commerce, population and demography. Also, the underlying dynamics, processes, distributions, patterns, trends or disparities inherent in African cities require the breaking down of aggregated data into their component parts or smaller units, which underscores urban data revolution towards achieving SDG 11. In Africa, the process of bringing together diverse data communities to embrace a diverse range of data sources, tools, and innovative technologies, to provide disaggregated data for decision-making, service delivery and citizen engagement is still emerging. Several factors are inhibiting urban data revolution and need to be overturned before we can provide more evidence, more data and more certainty for decision makers towards achieving urban development targets and sustainable cities for Africa. The paper examines the challenge of city-level data-gathering for implementing SDG 11 in Africa. Specifically, it examines the role of cities in implementing SDG 11 in Africa and the need to disaggregate data at city-level; it assesses existing data sources, compilation and dissemination channels as well as the challenges of deploying innovative techniques and strategies including digital and social media

Big data-driven business how to use big data to win customers, beat competitors, and boost profits

CERN Document Server

Glass, Russell

2014-01-01

Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples-from Nate Silver to Copernicus, and Apple to Blackberry-to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehens

Big Game Reporting Stations

Data.gov (United States)

Vermont Center for Geographic Information — Point locations of big game reporting stations. Big game reporting stations are places where hunters can legally report harvested deer, bear, or turkey. These are...

Stalin's Big Fleet Program

National Research Council Canada - National Science Library

Mauner, Milan

2002-01-01

Although Dr. Milan Hauner's study 'Stalin's Big Fleet program' has focused primarily on the formation of Big Fleets during the Tsarist and Soviet periods of Russia's naval history, there are important lessons...

Alternative fuel news: Official publication of the clean cities network and the alternative fuels data center, Vol. 4, No. 1

Energy Technology Data Exchange (ETDEWEB)

NREL

2000-03-27

This issue of Alternative Fuel News contains information on the upcoming Clean Cities Conference to be held May 7--10, 2000 in San Diego, California. Highlighted in this issue is the success of the Clean Cities Program in creating clean corridors that permit fleets that serve multiple cities to purchase AFVs with confidence, knowing that fueling convenience and supply will not be a problem. Also look for articles on electric vehicles, transit buses; state and fuel provider enforcement; the Salt Lake and Greater Long Island Clean Cities coalitions, HEVs and fuel cells are a big hit at auto shows; DOE awards alternative fuel grants to 33 National Parks; and the Energy Policy Act (EPAct) Section 506 report.

Five Big, Big Five Issues : Rationale, Content, Structure, Status, and Crosscultural Assessment

NARCIS (Netherlands)

De Raad, Boele

1998-01-01

This article discusses the rationale, content, structure, status, and crosscultural assessment of the Big Five trait factors, focusing on topics of dispute and misunderstanding. Taxonomic restrictions of the original Big Five forerunner, the "Norman Five," are discussed, and criticisms regarding the

Big data challenges

DEFF Research Database (Denmark)

Bachlechner, Daniel; Leimbach, Timo

2016-01-01

Although reports on big data success stories have been accumulating in the media, most organizations dealing with high-volume, high-velocity and high-variety information assets still face challenges. Only a thorough understanding of these challenges puts organizations into a position in which...... they can make an informed decision for or against big data, and, if the decision is positive, overcome the challenges smoothly. The combination of a series of interviews with leading experts from enterprises, associations and research institutions, and focused literature reviews allowed not only...... framework are also relevant. For large enterprises and startups specialized in big data, it is typically easier to overcome the challenges than it is for other enterprises and public administration bodies....

Big Data and HPC collocation: Using HPC idle resources for Big Data Analytics

OpenAIRE

MERCIER , Michael; Glesser , David; Georgiou , Yiannis; Richard , Olivier

2017-01-01

International audience; Executing Big Data workloads upon High Performance Computing (HPC) infrastractures has become an attractive way to improve their performances. However, the collocation of HPC and Big Data workloads is not an easy task, mainly because of their core concepts' differences. This paper focuses on the challenges related to the scheduling of both Big Data and HPC workloads on the same computing platform. In classic HPC workloads, the rigidity of jobs tends to create holes in ...

Application research on big data in energy conservation and emission reduction of transportation industry

Science.gov (United States)

Bai, Bingdong; Chen, Jing; Wang, Mei; Yao, Jingjing

2017-06-01

In the context of big data age, the energy conservation and emission reduction of transportation is a natural big data industry. The planning, management, decision-making of energy conservation and emission reduction of transportation and other aspects should be supported by the analysis and forecasting of large amounts of data. Now, with the development of information technology, such as intelligent city, sensor road and so on, information collection technology in the direction of the Internet of things gradually become popular. The 3G/4G network transmission technology develop rapidly, and a large number of energy conservation and emission reduction of transportation data is growing into a series with different ways. The government not only should be able to make good use of big data to solve the problem of energy conservation and emission reduction of transportation, but also to explore and use a large amount of data behind the hidden value. Based on the analysis of the basic characteristics and application technology of energy conservation and emission reduction of transportation data, this paper carries out its application research in energy conservation and emission reduction of transportation industry, so as to provide theoretical basis and reference value for low carbon management.

Big Data as Governmentality

DEFF Research Database (Denmark)

Flyverbom, Mikkel; Madsen, Anders Koed; Rasche, Andreas

This paper conceptualizes how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. The concept of governmentality and four dimensions of an analytics of government are proposed as a theoretical framework to examine how big...... data is constituted as an aspiration to improve the data and knowledge underpinning development efforts. Based on this framework, we argue that big data’s impact on how relevant problems are governed is enabled by (1) new techniques of visualizing development issues, (2) linking aspects...... shows that big data problematizes selected aspects of traditional ways to collect and analyze data for development (e.g. via household surveys). We also demonstrate that using big data analyses to address development challenges raises a number of questions that can deteriorate its impact....

Boarding to Big data

Directory of Open Access Journals (Sweden)

Oana Claudia BRATOSIN

2016-05-01

Full Text Available Today Big data is an emerging topic, as the quantity of the information grows exponentially, laying the foundation for its main challenge, the value of the information. The information value is not only defined by the value extraction from huge data sets, as fast and optimal as possible, but also by the value extraction from uncertain and inaccurate data, in an innovative manner using Big data analytics. At this point, the main challenge of the businesses that use Big data tools is to clearly define the scope and the necessary output of the business so that the real value can be gained. This article aims to explain the Big data concept, its various classifications criteria, architecture, as well as the impact in the world wide processes.

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.

Science.gov (United States)

Huang, Xiuzhen; Jennings, Steven F; Bruce, Barry; Buchan, Alison; Cai, Liming; Chen, Pengyin; Cramer, Carole L; Guan, Weihua; Hilgert, Uwe Kk; Jiang, Hongmei; Li, Zenglu; McClure, Gail; McMullen, Donald F; Nanduri, Bindu; Perkins, Andy; Rekepalli, Bhanu; Salem, Saeed; Specker, Jennifer; Walker, Karl; Wunsch, Donald; Xiong, Donghai; Zhang, Shuzhong; Zhang, Yu; Zhao, Zhongming; Moore, Jason H

2015-01-01

Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your problems. While big data has had some outstanding successes, many are now beginning to see that it is not the Silver Bullet that it has been touted to be. Here our main concern is the overall impact of big data; the current manifestation of big data is constructing a Maginot Line in science in the 21st century. Big data is not "lots of data" as a phenomena anymore; The big data paradigm is putting the spirit of the Maginot Line into lots of data. Big data overall is disconnecting researchers and science challenges. We propose No-Boundary Thinking (NBT), applying no-boundary thinking in problem defining to address science challenges.

Big Egos in Big Science

DEFF Research Database (Denmark)

Andersen, Kristina Vaarst; Jeppesen, Jacob

In this paper we investigate the micro-mechanisms governing structural evolution and performance of scientific collaboration. Scientific discovery tends not to be lead by so called lone ?stars?, or big egos, but instead by collaboration among groups of researchers, from a multitude of institutions...

Big Data and Big Science

OpenAIRE

Di Meglio, Alberto

2014-01-01

Brief introduction to the challenges of big data in scientific research based on the work done by the HEP community at CERN and how the CERN openlab promotes collaboration among research institutes and industrial IT companies. Presented at the FutureGov 2014 conference in Singapore.

Men Do Matter: Ethnographic Insights on the Socially Supportive Role of the African American Uncle in the Lives of Inner-City African American Male Youth

Science.gov (United States)

Richardson, Joseph B., Jr.

2009-01-01

This article examines the role of the African American uncle as a vital yet overlooked form of social support and social capital in the lives of adolescent African American male sons living in single-female-headed households. Research rarely examines the affective roles and functions of men in Black families; moreover, poor urban Black male youth…

Challenges of Big Data Analysis.

Science.gov (United States)

Fan, Jianqing; Han, Fang; Liu, Han

2014-06-01

Big Data bring new opportunities to modern society and challenges to data scientists. On one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity, and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This article gives overviews on the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures. We also provide various new perspectives on the Big Data analysis and computation. In particular, we emphasize on the viability of the sparsest solution in high-confidence set and point out that exogeneous assumptions in most statistical methods for Big Data can not be validated due to incidental endogeneity. They can lead to wrong statistical inferences and consequently wrong scientific conclusions.

Slum, Development in Yogyakarta City 1970-2000

Directory of Open Access Journals (Sweden)

Djaka Marwasta

2016-07-01

Full Text Available Slum, a dwelling that is statutorily unfit for human habitation, is still the big problem in, especially, cities of developing countries. This article highlights the development of slums in Yogyakarta City along 1970-2000, and it’s merely focused on spatial and socio-ecological development. The aims of the study is to analyze the distribution and development process of slum dwellings. Distribution of slum area is taken from interpretation of time-series aerial photos. The change of extent and distribution of slum is analyzed using Geographic Information System. To obtain the socio-economic characteristics of slum dwellers, the survey method is chosen. The respondent are selected randomly among head of household that represent each settlement units. Quality of settlement are determined by total score of 15 selected variables. The result shows that the first category of slum was increased 74.4 hectares from year 1970 to 2000, the second category was increased 47.6 hectares, and the third was 131.1 hectares. Nevertheless, the process of slum development in Yogyakarta City includes in "continuous" type, which slowly and long period of creation. Densification and aging process is two of the main causes of slum expansion. Distribution of slum unit were driven by rivers that next to city center. According to this research, it’s found out that the slum dwellers are characterized by the new migrant who had low income and education, working in the informal sector, and renting the house.

Medium-Density Mixed Housing: sustainable design and construction of South African social housing

CSIR Research Space (South Africa)

Osman, A

2010-09-01

Full Text Available Medium-Density Mixed Housing (MDMH), of which social housing (SH) is one component, is perceived to have the capacity to contribute to the transformation of fragmented South African cities more than the massive roll-out of government subsidised ‘one-house...

Big data is not a monolith

CERN Document Server

Ekbia, Hamid R; Mattioli, Michael

2016-01-01

Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control throu...

Big universe, big data

DEFF Research Database (Denmark)

Kremer, Jan; Stensbo-Smidt, Kristoffer; Gieseke, Fabian Cristian

2017-01-01

, modern astronomy requires big data know-how, in particular it demands highly efficient machine learning and image analysis algorithms. But scalability is not the only challenge: Astronomy applications touch several current machine learning research questions, such as learning from biased data and dealing......, and highlight some recent methodological advancements in machine learning and image analysis triggered by astronomical applications....

Birth and death in cities in the developing world.

Science.gov (United States)

1995-06-01

City dwellers in Sub-Saharan Africa have increased roughly 600% in the last 35 years. Throughout the developing world, cities have expanded at a rate that has far outpaced rural population growth. Extensive data document lower fertility and mortality rates in cities than in rural regions. But slums, shantytowns, and squatters' settlements proliferate in many large cities. Martin Brockerhoff studies the reproductive and health consequences of urban growth, with an emphasis on maternal and child health. Brockerhoff reports that child mortality rates in large cities are highest among children born to mothers who recently migrated from rural areas or who live in low-quality housing. Children born in large cities have about a 30% higher risk of dying before they reach the age of 5 than those born in smaller cities. Despite this, children born to migrant mothers who have lived in a city for about a year have much better survival chances than children born in rural areas to nonmigrant mothers and children born to migrant mothers before or shortly after migration. Migration in developing countries as a whole has saved millions of children's lives. The apparent benefits experienced in the 1980s may not occur in the future, as cities continue to grow and municipal governments confront an overwhelming need for housing, jobs, and services. Another benefit is that fertility rates in African cities fell by about 1 birth per woman as a result of female migration from villages to towns in the 1980s and early 1990s. There will be an increasing need for donors and governments to concentrate family planning, reproductive health, child survival, and social services in cities, particularly in Sub-Saharan Africa, because there child mortality decline has been unexpectedly slow, overall fertility decline is not yet apparent in most countries, and levels of migration to cities are anticipated to remain high.

Poker Player Behavior After Big Wins and Big Losses

OpenAIRE

Gary Smith; Michael Levere; Robert Kurtzman

2009-01-01

We find that experienced poker players typically change their style of play after winning or losing a big pot--most notably, playing less cautiously after a big loss, evidently hoping for lucky cards that will erase their loss. This finding is consistent with Kahneman and Tversky's (Kahneman, D., A. Tversky. 1979. Prospect theory: An analysis of decision under risk. Econometrica 47(2) 263-292) break-even hypothesis and suggests that when investors incur a large loss, it might be time to take ...

Big Data and Chemical Education

Science.gov (United States)

Pence, Harry E.; Williams, Antony J.

2016-01-01

The amount of computerized information that organizations collect and process is growing so large that the term Big Data is commonly being used to describe the situation. Accordingly, Big Data is defined by a combination of the Volume, Variety, Velocity, and Veracity of the data being processed. Big Data tools are already having an impact in…

FORMATION OF EFFECTIVE STRATEGIES FOR RESIDANTIAL AREA RECONSTRUCTION OF BIG CITIES IN UKRAINE

Directory of Open Access Journals (Sweden)

BOLSHAKOV V. I.

2016-08-01

Full Text Available Purpose. One of the most main state socio-economic tasks is providing of population accessible, economical and energy-efficient habitation which conforms to modern requirements. Methodology. Exposure, on the basis of analysis of labours of known scientists in area of reconstruction of dwelling building, determinatives the system use of which will be instrumental in the decision of problem of providing of population accessible habitation. Findings. Conceptual positions are formulated on perfection of housing policy, taking into account changes which take place in an external and internal environment. Originality. Principles of planning of reconstruction and building of accessible habitation are offered taking into account the town-planning value of territories of the largest cities. Practical value. Realization of the offered principles at development of projects of complex reconstruction and second city land development will allow to save an existent housing fund, promote the level of comfort of existent habitation, shorten running expenses on his maintenance, to provide the increase of dwelling-place without developing new territories.

Simulation of Daylighting Conditions in a Virtual Underground City

Directory of Open Access Journals (Sweden)

Cristiano Merli Alcini

2015-06-01

Full Text Available From the Piranesi fantastic architectures to the animation movies and video games of the last thirty years, a new design approach has been introduced and developed: the design of the virtual space. Designing the "virtual" means experiencing a multidisciplinary approach where architecture, engineering, and urban planning meet the new horizons of information and communication technology. This study is focused on virtual space, which is an underground city. Mankind have always made and used underground environments: the possibilities of unlimited spaces to potential development, the reduced needs for raw materials for the construction and the protection from outdoor weather are some of the reasons that prompted humans to the realization of underground spaces in the past. These reasons and the availability of innovative technologies could encourage a breakthrough in the realization of new underground environments. A recent example is represented by the Underground City of Montreal (RÉSO. We present the architectural design of a virtual underground city, which is called Arch[ane], and its evaluation. The underground city is modular and the studied module is composed of eight floors with a total depth of 400 m and dimensions of 800 m × 800 m. The study comprises the evaluation of the effect of sunlight on each eight floors of the city. Daylighting simulations were performed considering different cities at different latitudes, days, and hours. The results have shown that the particular design of the underground city with skylights gives significant values of illuminance at a certain depth. Furthermore, the simulation results show how huge can be the potentialities of software to simulate extremely big environments.

Big data in Finnish financial services

OpenAIRE

Laurila, M. (Mikko)

2017-01-01

Abstract This thesis aims to explore the concept of big data, and create understanding of big data maturity in the Finnish financial services industry. The research questions of this thesis are “What kind of big data solutions are being implemented in the Finnish financial services sector?” and “Which factors impede faster implementation of big data solutions in the Finnish financial services sector?”. ...

Big data in fashion industry

Science.gov (United States)

Jain, S.; Bruniaux, J.; Zeng, X.; Bruniaux, P.

2017-10-01

Significant work has been done in the field of big data in last decade. The concept of big data includes analysing voluminous data to extract valuable information. In the fashion world, big data is increasingly playing a part in trend forecasting, analysing consumer behaviour, preference and emotions. The purpose of this paper is to introduce the term fashion data and why it can be considered as big data. It also gives a broad classification of the types of fashion data and briefly defines them. Also, the methodology and working of a system that will use this data is briefly described.

Socio-economic status and environmental problems affecting the fishermen along the river tributaries of Dagupan City

Directory of Open Access Journals (Sweden)

Sally A. Jarin

2018-02-01

Full Text Available This study was conducted to determine the socio-economic status of the fishermen along the river tributaries of Dagupan City and to study the environment problems affecting the fishermen along the river tributaries of Dagupan City. This study used a mixed method research design and utilized a survey questionnaire to gather response from 60 fishers selected through proportionate sampling. The fishermen along the tributaries of Dagupan City are mostly male, young adult with family of their own, attended primary education, and belong to big family size. All respondents owned houses made only of light materials. Shrimps and crabs were the most frequently caught species now compared to many small pelagic fishes before, when there were no aquaculture structures like fish pens and cages. Fishermen were limited to the ownership of passive fishing gears like gill nets, skylab, skyblue, and liftnet. Fishpen or cage structures were owned by big businessmen while the fishers served only as caretakers. The respondents are worried on the decrease of fish catch. It is recommended that the government of the City of Dagupan should continue its program in demolishing pen and cage structures to free the rivers from pollution of feed inputs. Management and economic measures should be considered in order to gain significant effect on income of the fishermen. In designing management systems which have income improvement as a goal, appropriate implementation, monitoring and evaluation initiatives should be conducted and taken cared of for sustainable income improvement of farmers in the community of Dagupan and, perhaps, wealth distribution.

Kibbutz Zafone--Big City U.S.A.: Thoughts on Parent-School-Child Interactions

Science.gov (United States)

Goldman, Richard; Champagne, David

1975-01-01

A discussion of a small community in northern Israel which asserts that a basic difference between kibbutz and a city is a total integration on the kibbutz of work, education, leisure, and living missing in most urban areas where parents must travel to work; several processes by which increased integration between parents' work and childrens'…

A Big Apple for Educators: New York City's Experiment with Schoolwide Performance Bonuses. Final Evaluation Report. Monograph

Science.gov (United States)

Marsh, Julie A.; Springer, Matthew G.; McCaffrey, Daniel F.; Yuan, Kun; Epstein, Scott; Koppich, Julia; Kalra, Nidhi; DiMartino, Catherine; Peng, Art

2011-01-01

In the 2007-2008 school year, the New York City Department of Education and the United Federation of Teachers jointly implemented the Schoolwide Performance Bonus Program in a random sample of the city's high-needs public schools. The program lasted for three school years, and its broad objective was to improve student performance through…

The competitive environment in the assurance industry : a South African case study de Villiers R.H.

OpenAIRE

De Villiers, Rihard Holmes.

2012-01-01

The assurance industry is fiercely competitive with intense rivalry among the Big Four assurance firms. Clients also exert extreme pricing pressure on audit fees to further strain profitability. Understanding and analysing the various drivers within the competitive assurance environment help an organisation to better combat the competitive forces and derive a strategy that will enable it to obtain a competitive advantage. This study analyses the competitive South African assurance environment...

Big data bioinformatics.

Science.gov (United States)

Greene, Casey S; Tan, Jie; Ung, Matthew; Moore, Jason H; Cheng, Chao

2014-12-01

Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. © 2014 Wiley Periodicals, Inc.

Changing the personality of a face: Perceived Big Two and Big Five personality factors modeled in real photographs.

Science.gov (United States)

Walker, Mirella; Vetter, Thomas

2016-04-01

General, spontaneous evaluations of strangers based on their faces have been shown to reflect judgments of these persons' intention and ability to harm. These evaluations can be mapped onto a 2D space defined by the dimensions trustworthiness (intention) and dominance (ability). Here we go beyond general evaluations and focus on more specific personality judgments derived from the Big Two and Big Five personality concepts. In particular, we investigate whether Big Two/Big Five personality judgments can be mapped onto the 2D space defined by the dimensions trustworthiness and dominance. Results indicate that judgments of the Big Two personality dimensions almost perfectly map onto the 2D space. In contrast, at least 3 of the Big Five dimensions (i.e., neuroticism, extraversion, and conscientiousness) go beyond the 2D space, indicating that additional dimensions are necessary to describe more specific face-based personality judgments accurately. Building on this evidence, we model the Big Two/Big Five personality dimensions in real facial photographs. Results from 2 validation studies show that the Big Two/Big Five are perceived reliably across different samples of faces and participants. Moreover, results reveal that participants differentiate reliably between the different Big Two/Big Five dimensions. Importantly, this high level of agreement and differentiation in personality judgments from faces likely creates a subjective reality which may have serious consequences for those being perceived-notably, these consequences ensue because the subjective reality is socially shared, irrespective of the judgments' validity. The methodological approach introduced here might prove useful in various psychological disciplines. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

The BigBOSS Experiment

Energy Technology Data Exchange (ETDEWEB)

Schelgel, D.; Abdalla, F.; Abraham, T.; Ahn, C.; Allende Prieto, C.; Annis, J.; Aubourg, E.; Azzaro, M.; Bailey, S.; Baltay, C.; Baugh, C.; /APC, Paris /Brookhaven /IRFU, Saclay /Marseille, CPPM /Marseille, CPT /Durham U. / /IEU, Seoul /Fermilab /IAA, Granada /IAC, La Laguna

2011-01-01

BigBOSS will obtain observational constraints that will bear on three of the four 'science frontier' questions identified by the Astro2010 Cosmology and Fundamental Phyics Panel of the Decadal Survey: Why is the universe accelerating; what is dark matter and what are the properties of neutrinos? Indeed, the BigBOSS project was recommended for substantial immediate R and D support the PASAG report. The second highest ground-based priority from the Astro2010 Decadal Survey was the creation of a funding line within the NSF to support a 'Mid-Scale Innovations' program, and it used BigBOSS as a 'compelling' example for support. This choice was the result of the Decadal Survey's Program Priorization panels reviewing 29 mid-scale projects and recommending BigBOSS 'very highly'.

Big game hunting practices, meanings, motivations and constraints: a survey of Oregon big game hunters

Science.gov (United States)

Suresh K. Shrestha; Robert C. Burns

2012-01-01

We conducted a self-administered mail survey in September 2009 with randomly selected Oregon hunters who had purchased big game hunting licenses/tags for the 2008 hunting season. Survey questions explored hunting practices, the meanings of and motivations for big game hunting, the constraints to big game hunting participation, and the effects of age, years of hunting...

Google BigQuery analytics

CERN Document Server

Tigani, Jordan

2014-01-01

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addit

Big data for dummies

CERN Document Server

Hurwitz, Judith; Halper, Fern; Kaufman, Marcia

2013-01-01

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it m

Childhood obesity policy: implications for African American girls and a nursing ecological model.

Science.gov (United States)

Reed, Monique

2013-01-01

In the United States there is a prevalence of obesity among ethnic groups, especially African American girls. The author in this column examines through an ecological lens selected American federal, state, and city policies and program interventions aimed at reducing obesity. Specifically, the eating behavior of African American girls is discussed as a population subset for which significant gaps are present in current obesity policy and implementation. Policy recommendations should include parents as research has shown a significant relationship in the eating behaviors of African American girls and their parents. Opportunities for nurses in practice and research to test the effectiveness of family and community level policy and program initiatives that address the ecological perspectives of the adolescent environment are discussed.

Urban environmental and economic performance linked to sustainability: Evidence from big and medium size Chinese cities

OpenAIRE

Dijk, Meine Pieter; Mingshun, Zhang

2008-01-01

textabstractThis paper is based on research in Chinese cities. It addresses the issues related to urban environmental performance and sustainability in emerging Chinese cities. The result shows that: (1) To basically control the degradation of urban environment the minimum per capita GDP should be about 1000 USD in China. This amount is only one third of that in the developed world; (2) The average share in GDP necessary for environmental investments is 2.9%. Such an amount would help to avoi...

Exploring complex and big data

Directory of Open Access Journals (Sweden)

Stefanowski Jerzy

2017-12-01

Full Text Available This paper shows how big data analysis opens a range of research and technological problems and calls for new approaches. We start with defining the essential properties of big data and discussing the main types of data involved. We then survey the dedicated solutions for storing and processing big data, including a data lake, virtual integration, and a polystore architecture. Difficulties in managing data quality and provenance are also highlighted. The characteristics of big data imply also specific requirements and challenges for data mining algorithms, which we address as well. The links with related areas, including data streams and deep learning, are discussed. The common theme that naturally emerges from this characterization is complexity. All in all, we consider it to be the truly defining feature of big data (posing particular research and technological challenges, which ultimately seems to be of greater importance than the sheer data volume.

Was there a big bang

International Nuclear Information System (INIS)

Narlikar, J.

1981-01-01

In discussing the viability of the big-bang model of the Universe relative evidence is examined including the discrepancies in the age of the big-bang Universe, the red shifts of quasars, the microwave background radiation, general theory of relativity aspects such as the change of the gravitational constant with time, and quantum theory considerations. It is felt that the arguments considered show that the big-bang picture is not as soundly established, either theoretically or observationally, as it is usually claimed to be, that the cosmological problem is still wide open and alternatives to the standard big-bang picture should be seriously investigated. (U.K.)

BIG DATA-DRIVEN MARKETING: AN ABSTRACT

OpenAIRE

Suoniemi, Samppa; Meyer-Waarden, Lars; Munzel, Andreas

2017-01-01

Customer information plays a key role in managing successful relationships with valuable customers. Big data customer analytics use (BD use), i.e., the extent to which customer information derived from big data analytics guides marketing decisions, helps firms better meet customer needs for competitive advantage. This study addresses three research questions: What are the key antecedents of big data customer analytics use? How, and to what extent, does big data customer an...

Big Data Analytics in Medicine and Healthcare.

Science.gov (United States)

Ristevski, Blagoj; Chen, Ming

2018-05-10

This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records data. We underline the challenging issues about big data privacy and security. Regarding big data characteristics, some directions of using suitable and promising open-source distributed data processing software platform are given.

The trashing of Big Green

International Nuclear Information System (INIS)

Felten, E.

1990-01-01

The Big Green initiative on California's ballot lost by a margin of 2-to-1. Green measures lost in five other states, shocking ecology-minded groups. According to the postmortem by environmentalists, Big Green was a victim of poor timing and big spending by the opposition. Now its supporters plan to break up the bill and try to pass some provisions in the Legislature

The Big Bang Singularity

Science.gov (United States)

Ling, Eric

The big bang theory is a model of the universe which makes the striking prediction that the universe began a finite amount of time in the past at the so called "Big Bang singularity." We explore the physical and mathematical justification of this surprising result. After laying down the framework of the universe as a spacetime manifold, we combine physical observations with global symmetrical assumptions to deduce the FRW cosmological models which predict a big bang singularity. Next we prove a couple theorems due to Stephen Hawking which show that the big bang singularity exists even if one removes the global symmetrical assumptions. Lastly, we investigate the conditions one needs to impose on a spacetime if one wishes to avoid a singularity. The ideas and concepts used here to study spacetimes are similar to those used to study Riemannian manifolds, therefore we compare and contrast the two geometries throughout.

Reframing Open Big Data

DEFF Research Database (Denmark)

Marton, Attila; Avital, Michel; Jensen, Tina Blegind

2013-01-01

Recent developments in the techniques and technologies of collecting, sharing and analysing data are challenging the field of information systems (IS) research let alone the boundaries of organizations and the established practices of decision-making. Coined ‘open data’ and ‘big data......’, these developments introduce an unprecedented level of societal and organizational engagement with the potential of computational data to generate new insights and information. Based on the commonalities shared by open data and big data, we develop a research framework that we refer to as open big data (OBD......) by employing the dimensions of ‘order’ and ‘relationality’. We argue that these dimensions offer a viable approach for IS research on open and big data because they address one of the core value propositions of IS; i.e. how to support organizing with computational data. We contrast these dimensions with two...

The feasibility of BRT corridor VI shelters in Semarang City

Science.gov (United States)

Purnomo, Andi; Setiawan, Moch Fathoni

2018-03-01

Like other big cities in Indonesia, Semarang City as the capital of Central Java Province also has various city problems, one of them is the transportation problem. Transportation problems arise due to increased mobility of society that is not in balanced with the public transportation facilities and infrastructure availability. In order to create a better transportation system, the local government of Semarang City held Trans Semarang bus rapid transit (BRT) which began operating in 2010. This study aims to analyze the feasibility of BRT Trans Semarang corridor VI shelters. This research uses descriptive critique technique. The results are expected to be considered in determining the right policy in creating a better transportation system. Based on observations made, the majority of BRT Trans Semarang corridor VI uses non-permanent shelters and is less feasible to be a BRT shelter. Thus, the local government is expected to improve the feasibility of BRT Trans Semarang shelter so that the sense of security and comfort can be obtained by users of BRT. In addition, the local government is also expected to maintain the quality of services provided. These services include ticket service, the condition of buses, speed and waiting time, as well as the placement and condition of shelters.

Medical big data: promise and challenges.

Science.gov (United States)

Lee, Choong Ho; Yoon, Hyung-Jin

2017-03-01

The concept of big data, commonly characterized by volume, variety, velocity, and veracity, goes far beyond the data type and includes the aspects of data analysis, such as hypothesis-generating, rather than hypothesis-testing. Big data focuses on temporal stability of the association, rather than on causal relationship and underlying probability distribution assumptions are frequently not required. Medical big data as material to be analyzed has various features that are not only distinct from big data of other disciplines, but also distinct from traditional clinical epidemiology. Big data technology has many areas of application in healthcare, such as predictive modeling and clinical decision support, disease or safety surveillance, public health, and research. Big data analytics frequently exploits analytic methods developed in data mining, including classification, clustering, and regression. Medical big data analyses are complicated by many technical issues, such as missing values, curse of dimensionality, and bias control, and share the inherent limitations of observation study, namely the inability to test causality resulting from residual confounding and reverse causation. Recently, propensity score analysis and instrumental variable analysis have been introduced to overcome these limitations, and they have accomplished a great deal. Many challenges, such as the absence of evidence of practical benefits of big data, methodological issues including legal and ethical issues, and clinical integration and utility issues, must be overcome to realize the promise of medical big data as the fuel of a continuous learning healthcare system that will improve patient outcome and reduce waste in areas including nephrology.

Medical big data: promise and challenges

Directory of Open Access Journals (Sweden)

Choong Ho Lee

2017-03-01

Full Text Available The concept of big data, commonly characterized by volume, variety, velocity, and veracity, goes far beyond the data type and includes the aspects of data analysis, such as hypothesis-generating, rather than hypothesis-testing. Big data focuses on temporal stability of the association, rather than on causal relationship and underlying probability distribution assumptions are frequently not required. Medical big data as material to be analyzed has various features that are not only distinct from big data of other disciplines, but also distinct from traditional clinical epidemiology. Big data technology has many areas of application in healthcare, such as predictive modeling and clinical decision support, disease or safety surveillance, public health, and research. Big data analytics frequently exploits analytic methods developed in data mining, including classification, clustering, and regression. Medical big data analyses are complicated by many technical issues, such as missing values, curse of dimensionality, and bias control, and share the inherent limitations of observation study, namely the inability to test causality resulting from residual confounding and reverse causation. Recently, propensity score analysis and instrumental variable analysis have been introduced to overcome these limitations, and they have accomplished a great deal. Many challenges, such as the absence of evidence of practical benefits of big data, methodological issues including legal and ethical issues, and clinical integration and utility issues, must be overcome to realize the promise of medical big data as the fuel of a continuous learning healthcare system that will improve patient outcome and reduce waste in areas including nephrology.

What is beyond the big five?

Science.gov (United States)

Saucier, G; Goldberg, L R

1998-08-01

Previous investigators have proposed that various kinds of person-descriptive content--such as differences in attitudes or values, in sheer evaluation, in attractiveness, or in height and girth--are not adequately captured by the Big Five Model. We report on a rather exhaustive search for reliable sources of Big Five-independent variation in data from person-descriptive adjectives. Fifty-three candidate clusters were developed in a college sample using diverse approaches and sources. In a nonstudent adult sample, clusters were evaluated with respect to a minimax criterion: minimum multiple correlation with factors from Big Five markers and maximum reliability. The most clearly Big Five-independent clusters referred to Height, Girth, Religiousness, Employment Status, Youthfulness and Negative Valence (or low-base-rate attributes). Clusters referring to Fashionableness, Sensuality/Seductiveness, Beauty, Masculinity, Frugality, Humor, Wealth, Prejudice, Folksiness, Cunning, and Luck appeared to be potentially beyond the Big Five, although each of these clusters demonstrated Big Five multiple correlations of .30 to .45, and at least one correlation of .20 and over with a Big Five factor. Of all these content areas, Religiousness, Negative Valence, and the various aspects of Attractiveness were found to be represented by a substantial number of distinct, common adjectives. Results suggest directions for supplementing the Big Five when one wishes to extend variable selection outside the domain of personality traits as conventionally defined.

Big Data Analytics and Its Applications

Directory of Open Access Journals (Sweden)

Mashooque A. Memon

2017-10-01

Full Text Available The term, Big Data, has been authored to refer to the extensive heave of data that can't be managed by traditional data handling methods or techniques. The field of Big Data plays an indispensable role in various fields, such as agriculture, banking, data mining, education, chemistry, finance, cloud computing, marketing, health care stocks. Big data analytics is the method for looking at big data to reveal hidden patterns, incomprehensible relationship and other important data that can be utilize to resolve on enhanced decisions. There has been a perpetually expanding interest for big data because of its fast development and since it covers different areas of applications. Apache Hadoop open source technology created in Java and keeps running on Linux working framework was used. The primary commitment of this exploration is to display an effective and free solution for big data application in a distributed environment, with its advantages and indicating its easy use. Later on, there emerge to be a required for an analytical review of new developments in the big data technology. Healthcare is one of the best concerns of the world. Big data in healthcare imply to electronic health data sets that are identified with patient healthcare and prosperity. Data in the healthcare area is developing past managing limit of the healthcare associations and is relied upon to increment fundamentally in the coming years.

Measuring the Promise of Big Data Syllabi

Science.gov (United States)

Friedman, Alon

2018-01-01

Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…

77 FR 27245 - Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN

Science.gov (United States)

2012-05-09

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N069; FXRS1265030000S3-123-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN AGENCY: Fish and... plan (CCP) and environmental assessment (EA) for Big Stone National Wildlife Refuge (Refuge, NWR) for...

The BigBoss Experiment

Energy Technology Data Exchange (ETDEWEB)

Schelgel, D.; Abdalla, F.; Abraham, T.; Ahn, C.; Allende Prieto, C.; Annis, J.; Aubourg, E.; Azzaro, M.; Bailey, S.; Baltay, C.; Baugh, C.; Bebek, C.; Becerril, S.; Blanton, M.; Bolton, A.; Bromley, B.; Cahn, R.; Carton, P.-H.; Cervanted-Cota, J.L.; Chu, Y.; Cortes, M.; /APC, Paris /Brookhaven /IRFU, Saclay /Marseille, CPPM /Marseille, CPT /Durham U. / /IEU, Seoul /Fermilab /IAA, Granada /IAC, La Laguna / /IAC, Mexico / / /Madrid, IFT /Marseille, Lab. Astrophys. / / /New York U. /Valencia U.

2012-06-07

BigBOSS is a Stage IV ground-based dark energy experiment to study baryon acoustic oscillations (BAO) and the growth of structure with a wide-area galaxy and quasar redshift survey over 14,000 square degrees. It has been conditionally accepted by NOAO in response to a call for major new instrumentation and a high-impact science program for the 4-m Mayall telescope at Kitt Peak. The BigBOSS instrument is a robotically-actuated, fiber-fed spectrograph capable of taking 5000 simultaneous spectra over a wavelength range from 340 nm to 1060 nm, with a resolution R = {lambda}/{Delta}{lambda} = 3000-4800. Using data from imaging surveys that are already underway, spectroscopic targets are selected that trace the underlying dark matter distribution. In particular, targets include luminous red galaxies (LRGs) up to z = 1.0, extending the BOSS LRG survey in both redshift and survey area. To probe the universe out to even higher redshift, BigBOSS will target bright [OII] emission line galaxies (ELGs) up to z = 1.7. In total, 20 million galaxy redshifts are obtained to measure the BAO feature, trace the matter power spectrum at smaller scales, and detect redshift space distortions. BigBOSS will provide additional constraints on early dark energy and on the curvature of the universe by measuring the Ly-alpha forest in the spectra of over 600,000 2.2 < z < 3.5 quasars. BigBOSS galaxy BAO measurements combined with an analysis of the broadband power, including the Ly-alpha forest in BigBOSS quasar spectra, achieves a FOM of 395 with Planck plus Stage III priors. This FOM is based on conservative assumptions for the analysis of broad band power (k{sub max} = 0.15), and could grow to over 600 if current work allows us to push the analysis to higher wave numbers (k{sub max} = 0.3). BigBOSS will also place constraints on theories of modified gravity and inflation, and will measure the sum of neutrino masses to 0.024 eV accuracy.

Application of a Time-Stratified Case-Crossover Design to Explore the Effects of Air Pollution and Season on Childhood Asthma Hospitalization in Cities of Differing Urban Patterns: Big Data Analytics of Government Open Data.

Science.gov (United States)

Kuo, Ching-Yen; Pan, Ren-Hao; Chan, Chin-Kan; Wu, Chiung-Yi; Phan, Dinh-Van; Chan, Chien-Lung

2018-03-31

Few studies have assessed the lagged effects of levels of different urban city air pollutants and seasons on asthma hospitalization in children. This study used big data analysis to explore the effects of daily changes in air pollution and season on childhood asthma hospitalization from 2001 to 2010 in Taipei and Kaohsiung City, Taiwan. A time-stratified case-crossover study and conditional logistic regression analysis were employed to identify associations between the risk of hospitalization due to asthma in children and the levels of air pollutants (PM 2.5 , PM 10 , O₃, SO₂, and NO₂) in the days preceding hospitalization. During the study period, 2900 children in Taipei and 1337 in Kaohsiung aged ≤15 years were hospitalized due to asthma for the first time. The results indicated that the levels of air pollutants were significantly associated with the risk of asthma hospitalization in children, and seasonal effects were observed. High levels of air pollution in Kaohsiung had greater effects than in Taipei after adjusting for seasonal variation. The most important factor was O₃ in spring in Taipei. In children aged 0-6 years, asthma was associated with O₃ in Taipei and SO₂ in Kaohsiung, after controlling for the daily mean temperature and relative humidity.

Application of a Time-Stratified Case-Crossover Design to Explore the Effects of Air Pollution and Season on Childhood Asthma Hospitalization in Cities of Differing Urban Patterns: Big Data Analytics of Government Open Data

Directory of Open Access Journals (Sweden)

Ching-Yen Kuo

2018-03-01

Full Text Available Few studies have assessed the lagged effects of levels of different urban city air pollutants and seasons on asthma hospitalization in children. This study used big data analysis to explore the effects of daily changes in air pollution and season on childhood asthma hospitalization from 2001 to 2010 in Taipei and Kaohsiung City, Taiwan. A time-stratified case-crossover study and conditional logistic regression analysis were employed to identify associations between the risk of hospitalization due to asthma in children and the levels of air pollutants (PM2.5, PM10, O3, SO2, and NO2 in the days preceding hospitalization. During the study period, 2900 children in Taipei and 1337 in Kaohsiung aged ≤15 years were hospitalized due to asthma for the first time. The results indicated that the levels of air pollutants were significantly associated with the risk of asthma hospitalization in children, and seasonal effects were observed. High levels of air pollution in Kaohsiung had greater effects than in Taipei after adjusting for seasonal variation. The most important factor was O3 in spring in Taipei. In children aged 0–6 years, asthma was associated with O3 in Taipei and SO2 in Kaohsiung, after controlling for the daily mean temperature and relative humidity.

Big data and educational research

OpenAIRE

Beneito-Montagut, Roser

2017-01-01

Big data and data analytics offer the promise to enhance teaching and learning, improve educational research and progress education governance. This chapter aims to contribute to the conceptual and methodological understanding of big data and analytics within educational research. It describes the opportunities and challenges that big data and analytics bring to education as well as critically explore the perils of applying a data driven approach to education. Despite the claimed value of the...

(Un-shackling the University in the City

Directory of Open Access Journals (Sweden)

Ulrike Kistner

2015-11-01

Full Text Available This article examines the relation between the University of Pretoria and the City of Tshwane, outlining seven different kinds of relation as they have taken shape historically. The first type relation between the University and the City presented here, establishes correspondences in public architecture at the height of apartheid modernity, between structures marking and shaping political convergences. The second type of relation is premised on the walling in and fencing off of the University from the City; the Metro musings exhibition inaugurating the ‘Capital Cities’ project looks across the divides thus cemented, from within the confines of the University. The third type of relation is that of ‘Community Engagement’ culminating in the annual Mandela Day activities, impelled by ideas on the Developmental State featuring in the National Development Plan. In the fourth type of relation, corporate models of municipal governance find common cause with the corporate management styles of the University, expressed in corporate partnerships combining a ‘University of Excellence’ with ‘the African City of Excellence’. The strategies envisaged for social intervention emerging from this ‘partnership’ form a sixth type of relation between the University and the City. In the process of pitting property and law against poverty and lawlessness, new civic challenges are emerging for transformative constitutionalism and for the University. In both arenas, this article concludes, what is at stake is a seventh type of relation between the University and the City – outside of the ‘legal’-‘illegal’ distinction. For the University, in particular, this would entail a productive idea of ‘dissensus’.

Thick-Big Descriptions

DEFF Research Database (Denmark)

Lai, Signe Sophus

The paper discusses the rewards and challenges of employing commercial audience measurements data – gathered by media industries for profitmaking purposes – in ethnographic research on the Internet in everyday life. It questions claims to the objectivity of big data (Anderson 2008), the assumption...... communication systems, language and behavior appear as texts, outputs, and discourses (data to be ‘found’) – big data then documents things that in earlier research required interviews and observations (data to be ‘made’) (Jensen 2014). However, web-measurement enterprises build audiences according...... to a commercial logic (boyd & Crawford 2011) and is as such directed by motives that call for specific types of sellable user data and specific segmentation strategies. In combining big data and ‘thick descriptions’ (Geertz 1973) scholars need to question how ethnographic fieldwork might map the ‘data not seen...

Political Mothering: Latina and African American Mothers in the Struggle for Educational Justice

Science.gov (United States)

Fuentes, Emma

2013-01-01

This article explores the process and impact of women organizing for educational justice in Northern California by documenting the efforts of a committed group of mothers who sought to address the disproportionate underachievement of Latino and African American students within their city's high school. Using a combined methodology of ethnography…

Big Data's Role in Precision Public Health.

Science.gov (United States)

Dolley, Shawn

2018-01-01

Precision public health is an emerging practice to more granularly predict and understand public health risks and customize treatments for more specific and homogeneous subpopulations, often using new data, technologies, and methods. Big data is one element that has consistently helped to achieve these goals, through its ability to deliver to practitioners a volume and variety of structured or unstructured data not previously possible. Big data has enabled more widespread and specific research and trials of stratifying and segmenting populations at risk for a variety of health problems. Examples of success using big data are surveyed in surveillance and signal detection, predicting future risk, targeted interventions, and understanding disease. Using novel big data or big data approaches has risks that remain to be resolved. The continued growth in volume and variety of available data, decreased costs of data capture, and emerging computational methods mean big data success will likely be a required pillar of precision public health into the future. This review article aims to identify the precision public health use cases where big data has added value, identify classes of value that big data may bring, and outline the risks inherent in using big data in precision public health efforts.

Big Data, indispensable today

Directory of Open Access Journals (Sweden)

Radu-Ioan ENACHE

2015-10-01

Full Text Available Big data is and will be used more in the future as a tool for everything that happens both online and offline. Of course , online is a real hobbit, Big Data is found in this medium , offering many advantages , being a real help for all consumers. In this paper we talked about Big Data as being a plus in developing new applications, by gathering useful information about the users and their behaviour.We've also presented the key aspects of real-time monitoring and the architecture principles of this technology. The most important benefit brought to this paper is presented in the cloud section.

Antigravity and the big crunch/big bang transition

Science.gov (United States)

Bars, Itzhak; Chen, Shih-Hung; Steinhardt, Paul J.; Turok, Neil

2012-08-01

We point out a new phenomenon which seems to be generic in 4d effective theories of scalar fields coupled to Einstein gravity, when applied to cosmology. A lift of such theories to a Weyl-invariant extension allows one to define classical evolution through cosmological singularities unambiguously, and hence construct geodesically complete background spacetimes. An attractor mechanism ensures that, at the level of the effective theory, generic solutions undergo a big crunch/big bang transition by contracting to zero size, passing through a brief antigravity phase, shrinking to zero size again, and re-emerging into an expanding normal gravity phase. The result may be useful for the construction of complete bouncing cosmologies like the cyclic model.

Antigravity and the big crunch/big bang transition

Energy Technology Data Exchange (ETDEWEB)

Bars, Itzhak [Department of Physics and Astronomy, University of Southern California, Los Angeles, CA 90089-2535 (United States); Chen, Shih-Hung [Perimeter Institute for Theoretical Physics, Waterloo, ON N2L 2Y5 (Canada); Department of Physics and School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287-1404 (United States); Steinhardt, Paul J., E-mail: steinh@princeton.edu [Department of Physics and Princeton Center for Theoretical Physics, Princeton University, Princeton, NJ 08544 (United States); Turok, Neil [Perimeter Institute for Theoretical Physics, Waterloo, ON N2L 2Y5 (Canada)

2012-08-29

We point out a new phenomenon which seems to be generic in 4d effective theories of scalar fields coupled to Einstein gravity, when applied to cosmology. A lift of such theories to a Weyl-invariant extension allows one to define classical evolution through cosmological singularities unambiguously, and hence construct geodesically complete background spacetimes. An attractor mechanism ensures that, at the level of the effective theory, generic solutions undergo a big crunch/big bang transition by contracting to zero size, passing through a brief antigravity phase, shrinking to zero size again, and re-emerging into an expanding normal gravity phase. The result may be useful for the construction of complete bouncing cosmologies like the cyclic model.

Antigravity and the big crunch/big bang transition

International Nuclear Information System (INIS)

Bars, Itzhak; Chen, Shih-Hung; Steinhardt, Paul J.; Turok, Neil

2012-01-01

We point out a new phenomenon which seems to be generic in 4d effective theories of scalar fields coupled to Einstein gravity, when applied to cosmology. A lift of such theories to a Weyl-invariant extension allows one to define classical evolution through cosmological singularities unambiguously, and hence construct geodesically complete background spacetimes. An attractor mechanism ensures that, at the level of the effective theory, generic solutions undergo a big crunch/big bang transition by contracting to zero size, passing through a brief antigravity phase, shrinking to zero size again, and re-emerging into an expanding normal gravity phase. The result may be useful for the construction of complete bouncing cosmologies like the cyclic model.

Big data: een zoektocht naar instituties

NARCIS (Netherlands)

van der Voort, H.G.; Crompvoets, J

2016-01-01

Big data is a well-known phenomenon, even a buzzword nowadays. It refers to an abundance of data and new possibilities to process and use them. Big data is subject of many publications. Some pay attention to the many possibilities of big data, others warn us for their consequences. This special

Data, Data, Data : Big, Linked & Open

NARCIS (Netherlands)

Folmer, E.J.A.; Krukkert, D.; Eckartz, S.M.

2013-01-01

De gehele business en IT-wereld praat op dit moment over Big Data, een trend die medio 2013 Cloud Computing is gepasseerd (op basis van Google Trends). Ook beleidsmakers houden zich actief bezig met Big Data. Neelie Kroes, vice-president van de Europese Commissie, spreekt over de ‘Big Data

Analisa Minat Wisata Museum Kota Bandung

Directory of Open Access Journals (Sweden)

Ani Solihat

2016-09-01

ABSTRACT Museum is a collection of historical objects as evidence that should be known by the public, especially the new generation as a study of the history. In Bandung there are a number of museums including the Geology Museum, Asian-African Museum, Mandala Wangsit Siliwangi Museum, Post Museum, Sri Baduga Museum, and Barli Museum. All six of the museum managed by the government and private parties. Until now the interest of tourists who come to the city of Bandung is just shopping, dining and tours of the city, it is not significant to the interests wisatawa education at the museum in the city of Bandung. Since 2014 Bandung many improvements done in various places, such as parks, Square Bandung, street like Braga as one of the attractions of the past, Dago, including the Asian-African region serve as a place Asian-African Conference ke- 50, it is one of the magnets increase the tourists to visit the city of Bandung. Increasing the tourists should have a great potential for the government of Bandung in increasing interest in the visit to the museum as a means of travel and history education. The purpose of this study was to identify how big tourist interest in visiting Bandung museums. The method used in this research is descriptive quantitative method, while respondents in this study is that Bandung tourists, which is in the area of shopping area, culinary tours, and city tours. The results showed that the interest  Bandung tourists is very low in visiting the museum in the Bandung city.  Keyword : Tourism, Consumer Interest, Museum Tours

Green Cabs vs. Uber in New York City

DEFF Research Database (Denmark)

Korsholm Poulsen, Lasse; Dekkers, Daan; Wagenaar, Nicolaas

2016-01-01

This paper reports on the process and outcomes of big data analytics of ride records for Green cabs and Uber in the outer boroughs of New York City (NYC), USA. Uber is a new entrant to the taxi market in NYC and is rapidly eating away market share from the NYC Taxi & Limousine Commission's (NYCTLC...... from April-September 2014 in New York excluding Manhattan and NYC's two airports. Tableau was used as the visual analytics tool, and PostgreSQL in combination with PostGIS was used as the data processing engine. Our findings show that the performance of Green cabs in isolated zip codes differ...

Methods and tools for big data visualization

OpenAIRE

Zubova, Jelena; Kurasova, Olga

2015-01-01

In this paper, methods and tools for big data visualization have been investigated. Challenges faced by the big data analysis and visualization have been identified. Technologies for big data analysis have been discussed. A review of methods and tools for big data visualization has been done. Functionalities of the tools have been demonstrated by examples in order to highlight their advantages and disadvantages.

Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis.

Science.gov (United States)

Wu, DengFeng; Mao, Hongyi

2017-01-01

Reform of drug procurement is being extensively implemented and expanded in China, especially in today's big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems. From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run. The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance. This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems.

Big data analytics methods and applications

CERN Document Server

Rao, BLS; Rao, SB

2016-01-01

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

The Big bang and the Quantum

Science.gov (United States)

Ashtekar, Abhay

2010-06-01

General relativity predicts that space-time comes to an end and physics comes to a halt at the big-bang. Recent developments in loop quantum cosmology have shown that these predictions cannot be trusted. Quantum geometry effects can resolve singularities, thereby opening new vistas. Examples are: The big bang is replaced by a quantum bounce; the `horizon problem' disappears; immediately after the big bounce, there is a super-inflationary phase with its own phenomenological ramifications; and, in presence of a standard inflation potential, initial conditions are naturally set for a long, slow roll inflation independently of what happens in the pre-big bang branch. As in my talk at the conference, I will first discuss the foundational issues and then the implications of the new Planck scale physics near the Big Bang.

Eco2 Cities : Ecological Cities as Economic Cities

OpenAIRE

Suzuki, Hiroaki; Dastur, Arish; Moffatt, Sebastian; Yabuki, Nanae; Maruyama, Hinako

2010-01-01

This book provides an overview of the World Bank's Eco2 cities : ecological cities as economic cities initiative. The objective of the Eco2 cities initiative is to help cities in developing countries achieve a greater degree of ecological and economic sustainability. The book is divided into three parts. Part one describes the Eco2 cities initiative framework. It describes the approach, be...

Big Bang baryosynthesis

International Nuclear Information System (INIS)

Turner, M.S.; Chicago Univ., IL

1983-01-01

In these lectures I briefly review Big Bang baryosynthesis. In the first lecture I discuss the evidence which exists for the BAU, the failure of non-GUT symmetrical cosmologies, the qualitative picture of baryosynthesis, and numerical results of detailed baryosynthesis calculations. In the second lecture I discuss the requisite CP violation in some detail, further the statistical mechanics of baryosynthesis, possible complications to the simplest scenario, and one cosmological implication of Big Bang baryosynthesis. (orig./HSI)

“Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities?

Directory of Open Access Journals (Sweden)

Alison Heppenstall

2016-01-01

Full Text Available Cities are complex systems, comprising of many interacting parts. How we simulate and understand causality in urban systems is continually evolving. Over the last decade the agent-based modeling (ABM paradigm has provided a new lens for understanding the effects of interactions of individuals and how through such interactions macro structures emerge, both in the social and physical environment of cities. However, such a paradigm has been hindered due to computational power and a lack of large fine scale datasets. Within the last few years we have witnessed a massive increase in computational processing power and storage, combined with the onset of Big Data. Today geographers find themselves in a data rich era. We now have access to a variety of data sources (e.g., social media, mobile phone data, etc. that tells us how, and when, individuals are using urban spaces. These data raise several questions: can we effectively use them to understand and model cities as complex entities? How well have ABM approaches lent themselves to simulating the dynamics of urban processes? What has been, or will be, the influence of Big Data on increasing our ability to understand and simulate cities? What is the appropriate level of spatial analysis and time frame to model urban phenomena? Within this paper we discuss these questions using several examples of ABM applied to urban geography to begin a dialogue about the utility of ABM for urban modeling. The arguments that the paper raises are applicable across the wider research environment where researchers are considering using this approach.

Exploiting big data for critical care research.

Science.gov (United States)

Docherty, Annemarie B; Lone, Nazir I

2015-10-01

Over recent years the digitalization, collection and storage of vast quantities of data, in combination with advances in data science, has opened up a new era of big data. In this review, we define big data, identify examples of critical care research using big data, discuss the limitations and ethical concerns of using these large datasets and finally consider scope for future research. Big data refers to datasets whose size, complexity and dynamic nature are beyond the scope of traditional data collection and analysis methods. The potential benefits to critical care are significant, with faster progress in improving health and better value for money. Although not replacing clinical trials, big data can improve their design and advance the field of precision medicine. However, there are limitations to analysing big data using observational methods. In addition, there are ethical concerns regarding maintaining confidentiality of patients who contribute to these datasets. Big data have the potential to improve medical care and reduce costs, both by individualizing medicine, and bringing together multiple sources of data about individual patients. As big data become increasingly mainstream, it will be important to maintain public confidence by safeguarding data security, governance and confidentiality.

Economical impact of the BIG/CC technology use on the sugar cane industry

Energy Technology Data Exchange (ETDEWEB)

Queiroz, L.C. de; Nascimento, M.J.M. do [Brascep Engenharia Ltda., Rio de Janeiro (Brazil)

1993-12-31

The use of biomass as primary fuel for power and steam production using modern conversion technology such as the Biomass Integrated Gas Turbine/Combined Cycle (BIG/CC) has both technical and commercial potential. Brazil is implementing a BIG/CC Demonstration Plant to burn wood from eucalyptus short rotation forest and to test sugar cane bagasse as feedstock. The purpose of this project is to demonstrate the commercial viability of using biomass as a feedstock for power generation, its suitability for applications in developing countries, and the possibilities it offers for commercial activities in regions which currently have a low level of economic activities. The purpose of this paper is to show the potential applicability of this technology in the sugar cane industries of Developing Countries such as Brazil. The same quantity of sugar cane already processed in each sugar mill can produce sizable quantities of electric power at competitive costs, in addition to the traditional products -- sugar and/or ethanol, which will cause an economical impact, duplicating the revenue of these industries. The application of the BIG/CC technology in the Sugar Cane Industry may lead to the following scenario in developing countries: (1) power shall be produced at very competitive prices by specialized private firms associated with sugar mills; (2) plant sizes will be smaller -- 15 to 100 MW -- when based on biomass, a compared to large fossil fuel plants now prevailing; (3) ethanol and sugar production costs will be reduced due to more efficient and economical processes and due to the additional revenue from power production; (4) becoming more competitive with gasoline, ethanol production tends to increase, which will influence the automobile industry and improve the quality of life in big cities.

Ethnic, racial and cultural identity and perceived benefits and barriers related to genetic testing for breast cancer among at-risk women of African descent in New York City.

Science.gov (United States)

Sussner, K M; Edwards, T A; Thompson, H S; Jandorf, L; Kwate, N O; Forman, A; Brown, K; Kapil-Pair, N; Bovbjerg, D H; Schwartz, M D; Valdimarsdottir, H B

2011-01-01

Due to disparities in the use of genetic services, there has been growing interest in examining beliefs and attitudes related to genetic testing for breast and/or ovarian cancer risk among women of African descent. However, to date, few studies have addressed critical cultural variations among this minority group and their influence on such beliefs and attitudes. We assessed ethnic, racial and cultural identity and examined their relationships with perceived benefits and barriers related to genetic testing for cancer risk in a sample of 160 women of African descent (49% self-identified African American, 39% Black-West Indian/Caribbean, 12% Black-Other) who met genetic risk criteria and were participating in a larger longitudinal study including the opportunity for free genetic counseling and testing in New York City. All participants completed the following previously validated measures: (a) the multi-group ethnic identity measure (including ethnic search and affirmation subscales) and other-group orientation for ethnic identity, (b) centrality to assess racial identity, and (c) Africentrism to measure cultural identity. Perceived benefits and barriers related to genetic testing included: (1) pros/advantages (including family-related pros), (2) cons/disadvantages (including family-related cons, stigma and confidentiality concerns), and (3) concerns about abuses of genetic testing. In multivariate analyses, several ethnic identity elements showed significant, largely positive relationships to perceived benefits about genetic testing for breast and/or ovarian cancer risk, the exception being ethnic search, which was positively associated with cons/disadvantages, in general, and family-related cons/disadvantages. Racial identity (centrality) showed a significant association with confidentiality concerns. Cultural identity (Africentrism) was not related to perceived benefits and/or barriers. Ethnic and racial identity may influence perceived benefits and barriers

Empathy and the Big Five

OpenAIRE

Paulus, Christoph

2016-01-01

Del Barrio et al. (2004) haben vor mehr als 10 Jahren versucht, eine direkte Beziehung zwischen Empathie und den Big Five herzustellen. Im Mittel hatten in ihrer Stichprobe Frauen höhere Werte in der Empathie und auf den Big Five-Faktoren mit Ausnahme des Faktors Neurotizismus. Zusammenhänge zu Empathie fanden sie in den Bereichen Offenheit, Verträglichkeit, Gewissenhaftigkeit und Extraversion. In unseren Daten besitzen Frauen sowohl in der Empathie als auch den Big Five signifikant höhere We...

Genetic evidence of African slavery at the beginning of the trans-Atlantic slave trade.

Science.gov (United States)

Martiniano, Rui; Coelho, Catarina; Ferreira, Maria Teresa; Neves, Maria João; Pinhasi, Ron; Bradley, Daniel G

2014-08-08

An archaeological excavation in Valle da Gafaria (Lagos, Portugal), revealed two contiguous burial places outside the medieval city walls, dating from the 15(th)-17(th) centuries AD: one was interpreted as a Leprosarium cemetery and the second as an urban discard deposit, where signs of violent, unceremonious burials suggested that these remains may belong to slaves captured in Africa by the Portuguese. We obtained random short autosomal sequence reads from seven individuals: two from the latter site and five from the Leprosarium and used these to call SNP identities and estimate ancestral affinities with modern reference data. The Leprosarium site samples were less preserved but gave some probability of both African and European ancestry. The two discard deposit burials each gave African affinity signals, which were further refined toward modern West African or Bantu genotyped samples. These data from distressed burials illustrate an African contribution to a low status stratum of Lagos society at a time when this port became a hub of the European trade in African slaves which formed a precursor to the transatlantic transfer of millions.

An Analysis of the Street-Children Phenomenon in the City of Isfahan

OpenAIRE

Seyed Alireza Afshani; Abbas Askari-Nodoushan; Mohammad Heydari; Mohammad Noorian Najafabadi

2013-01-01

Introduction   In nearly all big cities around the world, the phenomenon of street children is one of the contemporary social issues. During past several decades, there is an increase in the volume of street children phenomenon around the world. The rising number of street children has many pathological and consequential negative impacts for children, youth, families, and the society at the whole . According to 2000 UN report, the number of street children is estimated between 100 to140 milli...

Poverty and Depressed Mood among Urban African-American Adolescents: A Family Stress Perspective

Science.gov (United States)

Hammack, Phillip L.; Robinson, W. LaVome; Crawford, Isiaah; Li, Susan T.

2004-01-01

We examined the role of family stress as a mediator of the relationship between poverty and depressed mood among 1,704 low-income, inner-city African-American adolescents. Nearly half of participants (47%) reported clinically significant levels of depressive symptoms. Being female, reporting higher levels of family stress, and scoring higher on a…

African American community members sustain favorable blood pressure outcomes through 12-month telephone motivational interviewing (MI) maintenance

Science.gov (United States)

Community approaches offer promise for addressing disparities experienced by African Americans in hypertension prevalence, treatment, and control. HUB City Steps, a community-based participatory research lifestyle intervention, tracked participants through a 12-month MI maintenance phase following a...

Big domains are novel Ca²+-binding modules: evidences from big domains of Leptospira immunoglobulin-like (Lig) proteins.

Science.gov (United States)

Raman, Rajeev; Rajanikanth, V; Palaniappan, Raghavan U M; Lin, Yi-Pin; He, Hongxuan; McDonough, Sean P; Sharma, Yogendra; Chang, Yung-Fu

2010-12-29

Many bacterial surface exposed proteins mediate the host-pathogen interaction more effectively in the presence of Ca²+. Leptospiral immunoglobulin-like (Lig) proteins, LigA and LigB, are surface exposed proteins containing Bacterial immunoglobulin like (Big) domains. The function of proteins which contain Big fold is not known. Based on the possible similarities of immunoglobulin and βγ-crystallin folds, we here explore the important question whether Ca²+ binds to a Big domains, which would provide a novel functional role of the proteins containing Big fold. We selected six individual Big domains for this study (three from the conserved part of LigA and LigB, denoted as Lig A3, Lig A4, and LigBCon5; two from the variable region of LigA, i.e., 9(th) (Lig A9) and 10(th) repeats (Lig A10); and one from the variable region of LigB, i.e., LigBCen2. We have also studied the conserved region covering the three and six repeats (LigBCon1-3 and LigCon). All these proteins bind the calcium-mimic dye Stains-all. All the selected four domains bind Ca²+ with dissociation constants of 2-4 µM. Lig A9 and Lig A10 domains fold well with moderate thermal stability, have β-sheet conformation and form homodimers. Fluorescence spectra of Big domains show a specific doublet (at 317 and 330 nm), probably due to Trp interaction with a Phe residue. Equilibrium unfolding of selected Big domains is similar and follows a two-state model, suggesting the similarity in their fold. We demonstrate that the Lig are Ca²+-binding proteins, with Big domains harbouring the binding motif. We conclude that despite differences in sequence, a Big motif binds Ca²+. This work thus sets up a strong possibility for classifying the proteins containing Big domains as a novel family of Ca²+-binding proteins. Since Big domain is a part of many proteins in bacterial kingdom, we suggest a possible function these proteins via Ca²+ binding.

Distribution of causes of maternal mortality during delivery and post-partum: results of an African multicentre hospital-based study.

Science.gov (United States)

Thonneau, Patrick F; Matsudai, Tomohiro; Alihonou, Eusèbe; De Souza, Jose; Faye, Ousseynou; Moreau, Jean-Charles; Djanhan, Yao; Welffens-Ekra, Christiane; Goyaux, Nathalie

2004-06-15

To assess the maternal mortality ratio in maternity units of reference hospitals in large west African cities, and to describe the distribution of complications and causes of maternal deaths. Prospective descriptive study in twelve reference maternities located in three African countries (Benin, Ivory Coast, Senegal). Data (clinical findings at hospital entry, medical history, complications, type of surgery, vital status of the women at discharge) were collected from obstetrical and surgical files and from admission hospital registers. All cases of maternal deaths were systematically reviewed by African and European staff. Of a total of 10,515 women, 1495 presented a major obstetric complication with dystocia or inappropriate management of the labour phase as the leading cause. Eighty-five maternal deaths were reported, giving a global hospital-based maternal mortality ratio of 800/100,000. Hypertensive disorders were involved in 25/85 cases (29%) and post-partum haemorrhage in 13/85 cases (15%). Relatively few cases (14) of major sepsis were reported, leading to three maternal deaths. The results of this multicentre study confirm the high rates of maternal mortality in maternity units of reference hospitals in large African cities, and in addition to dystocia the contribution of hypertensive disorders and post-partum haemorrhage to maternal deaths.

Semantic Web Technologies and Big Data Infrastructures: SPARQL Federated Querying of Heterogeneous Big Data Stores

OpenAIRE

Konstantopoulos, Stasinos; Charalambidis, Angelos; Mouchakis, Giannis; Troumpoukis, Antonis; Jakobitsch, Jürgen; Karkaletsis, Vangelis

2016-01-01

The ability to cross-link large scale data with each other and with structured Semantic Web data, and the ability to uniformly process Semantic Web and other data adds value to both the Semantic Web and to the Big Data community. This paper presents work in progress towards integrating Big Data infrastructures with Semantic Web technologies, allowing for the cross-linking and uniform retrieval of data stored in both Big Data infrastructures and Semantic Web data. The technical challenges invo...

Quantum fields in a big-crunch-big-bang spacetime

International Nuclear Information System (INIS)

Tolley, Andrew J.; Turok, Neil

2002-01-01

We consider quantum field theory on a spacetime representing the big-crunch-big-bang transition postulated in ekpyrotic or cyclic cosmologies. We show via several independent methods that an essentially unique matching rule holds connecting the incoming state, in which a single extra dimension shrinks to zero, to the outgoing state in which it reexpands at the same rate. For free fields in our construction there is no particle production from the incoming adiabatic vacuum. When interactions are included the particle production for fixed external momentum is finite at the tree level. We discuss a formal correspondence between our construction and quantum field theory on de Sitter spacetime

Turning big bang into big bounce: II. Quantum dynamics

Energy Technology Data Exchange (ETDEWEB)

Malkiewicz, Przemyslaw; Piechocki, Wlodzimierz, E-mail: pmalk@fuw.edu.p, E-mail: piech@fuw.edu.p [Theoretical Physics Department, Institute for Nuclear Studies, Hoza 69, 00-681 Warsaw (Poland)

2010-11-21

We analyze the big bounce transition of the quantum Friedmann-Robertson-Walker model in the setting of the nonstandard loop quantum cosmology (LQC). Elementary observables are used to quantize composite observables. The spectrum of the energy density operator is bounded and continuous. The spectrum of the volume operator is bounded from below and discrete. It has equally distant levels defining a quantum of the volume. The discreteness may imply a foamy structure of spacetime at a semiclassical level which may be detected in astro-cosmo observations. The nonstandard LQC method has a free parameter that should be fixed in some way to specify the big bounce transition.

Scaling Big Data Cleansing

KAUST Repository

Khayyat, Zuhair

2017-07-31

Data cleansing approaches have usually focused on detecting and fixing errors with little attention to big data scaling. This presents a serious impediment since identify- ing and repairing dirty data often involves processing huge input datasets, handling sophisticated error discovery approaches and managing huge arbitrary errors. With large datasets, error detection becomes overly expensive and complicated especially when considering user-defined functions. Furthermore, a distinctive algorithm is de- sired to optimize inequality joins in sophisticated error discovery rather than na ̈ıvely parallelizing them. Also, when repairing large errors, their skewed distribution may obstruct effective error repairs. In this dissertation, I present solutions to overcome the above three problems in scaling data cleansing. First, I present BigDansing as a general system to tackle efficiency, scalability, and ease-of-use issues in data cleansing for Big Data. It automatically parallelizes the user’s code on top of general-purpose distributed platforms. Its programming inter- face allows users to express data quality rules independently from the requirements of parallel and distributed environments. Without sacrificing their quality, BigDans- ing also enables parallel execution of serial repair algorithms by exploiting the graph representation of discovered errors. The experimental results show that BigDansing outperforms existing baselines up to more than two orders of magnitude. Although BigDansing scales cleansing jobs, it still lacks the ability to handle sophisticated error discovery requiring inequality joins. Therefore, I developed IEJoin as an algorithm for fast inequality joins. It is based on sorted arrays and space efficient bit-arrays to reduce the problem’s search space. By comparing IEJoin against well- known optimizations, I show that it is more scalable, and several orders of magnitude faster. BigDansing depends on vertex-centric graph systems, i.e., Pregel

The ethics of big data in big agriculture

Directory of Open Access Journals (Sweden)

Isabelle M. Carbonell

2016-03-01

Full Text Available This paper examines the ethics of big data in agriculture, focusing on the power asymmetry between farmers and large agribusinesses like Monsanto. Following the recent purchase of Climate Corp., Monsanto is currently the most prominent biotech agribusiness to buy into big data. With wireless sensors on tractors monitoring or dictating every decision a farmer makes, Monsanto can now aggregate large quantities of previously proprietary farming data, enabling a privileged position with unique insights on a field-by-field basis into a third or more of the US farmland. This power asymmetry may be rebalanced through open-sourced data, and publicly-funded data analytic tools which rival Climate Corp. in complexity and innovation for use in the public domain.

Homogeneous and isotropic big rips?

CERN Document Server

Giovannini, Massimo

2005-01-01

We investigate the way big rips are approached in a fully inhomogeneous description of the space-time geometry. If the pressure and energy densities are connected by a (supernegative) barotropic index, the spatial gradients and the anisotropic expansion decay as the big rip is approached. This behaviour is contrasted with the usual big-bang singularities. A similar analysis is performed in the case of sudden (quiescent) singularities and it is argued that the spatial gradients may well be non-negligible in the vicinity of pressure singularities.

Rate Change Big Bang Theory

Science.gov (United States)

Strickland, Ken

2013-04-01

The Rate Change Big Bang Theory redefines the birth of the universe with a dramatic shift in energy direction and a new vision of the first moments. With rate change graph technology (RCGT) we can look back 13.7 billion years and experience every step of the big bang through geometrical intersection technology. The analysis of the Big Bang includes a visualization of the first objects, their properties, the astounding event that created space and time as well as a solution to the mystery of anti-matter.

Intelligent Test Mechanism Design of Worn Big Gear

Directory of Open Access Journals (Sweden)

Hong-Yu LIU

2014-10-01

Full Text Available With the continuous development of national economy, big gear was widely applied in metallurgy and mine domains. So, big gear plays an important role in above domains. In practical production, big gear abrasion and breach take place often. It affects normal production and causes unnecessary economic loss. A kind of intelligent test method was put forward on worn big gear mainly aimed at the big gear restriction conditions of high production cost, long production cycle and high- intensity artificial repair welding work. The measure equations transformations were made on involute straight gear. Original polar coordinate equations were transformed into rectangular coordinate equations. Big gear abrasion measure principle was introduced. Detection principle diagram was given. Detection route realization method was introduced. OADM12 laser sensor was selected. Detection on big gear abrasion area was realized by detection mechanism. Tested data of unworn gear and worn gear were led in designed calculation program written by Visual Basic language. Big gear abrasion quantity can be obtained. It provides a feasible method for intelligent test and intelligent repair welding on worn big gear.

[Big data in medicine and healthcare].

Science.gov (United States)

Rüping, Stefan

2015-08-01

Healthcare is one of the business fields with the highest Big Data potential. According to the prevailing definition, Big Data refers to the fact that data today is often too large and heterogeneous and changes too quickly to be stored, processed, and transformed into value by previous technologies. The technological trends drive Big Data: business processes are more and more executed electronically, consumers produce more and more data themselves - e.g. in social networks - and finally ever increasing digitalization. Currently, several new trends towards new data sources and innovative data analysis appear in medicine and healthcare. From the research perspective, omics-research is one clear Big Data topic. In practice, the electronic health records, free open data and the "quantified self" offer new perspectives for data analytics. Regarding analytics, significant advances have been made in the information extraction from text data, which unlocks a lot of data from clinical documentation for analytics purposes. At the same time, medicine and healthcare is lagging behind in the adoption of Big Data approaches. This can be traced to particular problems regarding data complexity and organizational, legal, and ethical challenges. The growing uptake of Big Data in general and first best-practice examples in medicine and healthcare in particular, indicate that innovative solutions will be coming. This paper gives an overview of the potentials of Big Data in medicine and healthcare.

Local adaptive capacity as an alternative approach in dealing with hydrometeorological risk at Depok Peri-Urban City

Science.gov (United States)

Fitrinitia, I. S.; Junadi, P.; Sutanto, E.; Nugroho, D. A.; Zubair, A.; Suyanti, E.

2018-03-01

Located in a tropical area, cities in Indonesia are vulnerable to hydrometeorological risks such as flood and landslide and thus become prone to the climate change effects. Moreover, peri-urban cities had double burden as the consequences of main city spill over and also lack of urban facilities in overcoming the disaster. In another perspective, the city has many alternative resources to recover, so its create urban resiliency. Depok city becomes a case study of this research regarding with its development following the impact of Jakarta growth. This research purposes to capture how the local city dwellers could anticipate and adaptive with flood and landslide with their own mitigation version. Through mix method and spatial analysis using GIS techniques, it derives the two comparison approach, the normative and alternative that had been done by the city dwellers. It uses a spatial analysis to have a big picture of Depok and its environmental changing. It also divided into 4 local group of communities as a representative of city dwellers regarding the characteristic of a settlement with their level of risk. The result found type or characteristic of settlement which influenced the local adaptive capacity, from the establishment of infrastructure, health fulfillment and social livelihood with different kind of methods.

From Big Data to Big Business

DEFF Research Database (Denmark)

Lund Pedersen, Carsten

2017-01-01

Idea in Brief: Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data. Solution: We (BDBB research group at C...

Delineation of the hydrogeologic framework of the Big Sioux aquifer near Sioux Falls, South Dakota, using airborne electromagnetic data

Science.gov (United States)

Valseth, Kristen J.; Delzer, Gregory C.; Price, Curtis V.

2018-03-21

The U.S. Geological Survey, in cooperation with the City of Sioux Falls, South Dakota, began developing a groundwater-flow model of the Big Sioux aquifer in 2014 that will enable the City to make more informed water management decisions, such as delineation of areas of the greatest specific yield, which is crucial for locating municipal wells. Innovative tools are being evaluated as part of this study that can improve the delineation of the hydrogeologic framework of the aquifer for use in development of a groundwater-flow model, and the approach could have transfer value for similar hydrogeologic settings. The first step in developing a groundwater-flow model is determining the hydrogeologic framework (vertical and horizontal extents of the aquifer), which typically is determined by interpreting geologic information from drillers’ logs and surficial geology maps. However, well and borehole data only provide hydrogeologic information for a single location; conversely, nearly continuous geophysical data are collected along flight lines using airborne electromagnetic (AEM) surveys. These electromagnetic data are collected every 3 meters along a flight line (on average) and subsequently can be related to hydrogeologic properties. AEM data, coupled with and constrained by well and borehole data, can substantially improve the accuracy of aquifer hydrogeologic framework delineations and result in better groundwater-flow models. AEM data were acquired using the Resolve frequency-domain AEM system to map the Big Sioux aquifer in the region of the city of Sioux Falls. The survey acquired more than 870 line-kilometers of AEM data over a total area of about 145 square kilometers, primarily over the flood plain of the Big Sioux River between the cities of Dell Rapids and Sioux Falls. The U.S. Geological Survey inverted the survey data to generate resistivity-depth sections that were used in two-dimensional maps and in three-dimensional volumetric visualizations of the Earth

Straight talk: HIV prevention for African-American heterosexual men: theoretical bases and intervention design.

Science.gov (United States)

Frye, Victoria; Bonner, Sebastian; Williams, Kim; Henny, Kirk; Bond, Keosha; Lucy, Debbie; Cupid, Malik; Smith, Stephen; Koblin, Beryl A

2012-10-01

In the United States, racial disparities in HIV/AIDS are stark. Although African Americans comprise an estimated 14% of the U.S. population, they made up 52% of new HIV cases among adults and adolescents diagnosed in 2009. Heterosexual transmission is now the second leading cause of HIV in the United States. African Americans made up a full two-thirds of all heterosexually acquired HIV/AIDS cases between 2005 and 2008. Few demonstrated efficacious HIV prevention interventions designed specifically for adult, African-American heterosexual men exist. Here, we describe the process used to design a theory-based HIV prevention intervention to increase condom use, reduce concurrent partnering, and increase HIV testing among heterosexually active African-American men living in high HIV prevalence areas of New York City. The intervention integrated empowerment, social identity, and rational choices theories and focused on four major content areas: HIV/AIDS testing and education; condom skills training; key relational and behavioral turning points; and masculinity and fatherhood.

Making big sense from big data in toxicology by read-across.

Science.gov (United States)

Hartung, Thomas

2016-01-01

Modern information technologies have made big data available in safety sciences, i.e., extremely large data sets that may be analyzed only computationally to reveal patterns, trends and associations. This happens by (1) compilation of large sets of existing data, e.g., as a result of the European REACH regulation, (2) the use of omics technologies and (3) systematic robotized testing in a high-throughput manner. All three approaches and some other high-content technologies leave us with big data--the challenge is now to make big sense of these data. Read-across, i.e., the local similarity-based intrapolation of properties, is gaining momentum with increasing data availability and consensus on how to process and report it. It is predominantly applied to in vivo test data as a gap-filling approach, but can similarly complement other incomplete datasets. Big data are first of all repositories for finding similar substances and ensure that the available data is fully exploited. High-content and high-throughput approaches similarly require focusing on clusters, in this case formed by underlying mechanisms such as pathways of toxicity. The closely connected properties, i.e., structural and biological similarity, create the confidence needed for predictions of toxic properties. Here, a new web-based tool under development called REACH-across, which aims to support and automate structure-based read-across, is presented among others.

The city of Arcávica and the Foundation of the Servitanus Monastery

Directory of Open Access Journals (Sweden)

Rafael Barroso Cabrera

2018-02-01

Full Text Available During the Visigothic period, the city of Arcavica was one of the three bishoprics placed in the present province of Cuenca, together with those of Segobriga and Valeria. With the exception of the signatures of Arcavica's prelates on Council minutes there is no direct mention of the city in the sources available. Even so, the importance of its archaeological site is reflected in the numerous remains found on the hill where the Roman-Celtiberian city of Ercavica used to lay. However important the city itself may be, archaeological research in this area is mainly focused on the problem of locating the Servitanus Monastery founded by the North-African abbot Donatus and his seventy monks. Its location in Arcavica, as the authors of the present article defend, is essential to interpret the remains found in this site and to understand a significant part of Spain's history that takes place during the crucial years of Leovigild's and Recared's reigns.

[Big data in official statistics].

Science.gov (United States)

Zwick, Markus

2015-08-01

The concept of "big data" stands to change the face of official statistics over the coming years, having an impact on almost all aspects of data production. The tasks of future statisticians will not necessarily be to produce new data, but rather to identify and make use of existing data to adequately describe social and economic phenomena. Until big data can be used correctly in official statistics, a lot of questions need to be answered and problems solved: the quality of data, data protection, privacy, and the sustainable availability are some of the more pressing issues to be addressed. The essential skills of official statisticians will undoubtedly change, and this implies a number of challenges to be faced by statistical education systems, in universities, and inside the statistical offices. The national statistical offices of the European Union have concluded a concrete strategy for exploring the possibilities of big data for official statistics, by means of the Big Data Roadmap and Action Plan 1.0. This is an important first step and will have a significant influence on implementing the concept of big data inside the statistical offices of Germany.

Big-Leaf Mahogany on CITES Appendix II: Big Challenge, Big Opportunity

Science.gov (United States)

JAMES GROGAN; PAULO BARRETO

2005-01-01

On 15 November 2003, big-leaf mahogany (Swietenia macrophylla King, Meliaceae), the most valuable widely traded Neotropical timber tree, gained strengthened regulatory protection from its listing on Appendix II of the Convention on International Trade in Endangered Species ofWild Fauna and Flora (CITES). CITES is a United Nations-chartered agreement signed by 164...

Characteristics of Health Educators Desired by Inner-City Health Clinic Patients: A Case Study

Science.gov (United States)

Price, James; Sidani, Jaime

2007-01-01

A group (n = 170) of inner-city, predominantly African American, health clinic patients were asked to identify the characteristics they desired in a new clinic health educator. A plurality (44%) of the patients perceived a bachelor's degree would be a sufficient level of education. The vast majority of patients claimed the sex of the health…

Big Data as Information Barrier

Directory of Open Access Journals (Sweden)

Victor Ya. Tsvetkov

2014-07-01

Full Text Available The article covers analysis of ‘Big Data’ which has been discussed over last 10 years. The reasons and factors for the issue are revealed. It has proved that the factors creating ‘Big Data’ issue has existed for quite a long time, and from time to time, would cause the informational barriers. Such barriers were successfully overcome through the science and technologies. The conducted analysis refers the “Big Data” issue to a form of informative barrier. This issue may be solved correctly and encourages development of scientific and calculating methods.

Big Data in Space Science

OpenAIRE

Barmby, Pauline

2018-01-01

It seems like “big data” is everywhere these days. In planetary science and astronomy, we’ve been dealing with large datasets for a long time. So how “big” is our data? How does it compare to the big data that a bank or an airline might have? What new tools do we need to analyze big datasets, and how can we make better use of existing tools? What kinds of science problems can we address with these? I’ll address these questions with examples including ESA’s Gaia mission, ...

Big Data in Medicine is Driving Big Changes

Science.gov (United States)

Verspoor, K.

2014-01-01

Summary Objectives To summarise current research that takes advantage of “Big Data” in health and biomedical informatics applications. Methods Survey of trends in this work, and exploration of literature describing how large-scale structured and unstructured data sources are being used to support applications from clinical decision making and health policy, to drug design and pharmacovigilance, and further to systems biology and genetics. Results The survey highlights ongoing development of powerful new methods for turning that large-scale, and often complex, data into information that provides new insights into human health, in a range of different areas. Consideration of this body of work identifies several important paradigm shifts that are facilitated by Big Data resources and methods: in clinical and translational research, from hypothesis-driven research to data-driven research, and in medicine, from evidence-based practice to practice-based evidence. Conclusions The increasing scale and availability of large quantities of health data require strategies for data management, data linkage, and data integration beyond the limits of many existing information systems, and substantial effort is underway to meet those needs. As our ability to make sense of that data improves, the value of the data will continue to increase. Health systems, genetics and genomics, population and public health; all areas of biomedicine stand to benefit from Big Data and the associated technologies. PMID:25123716

Main Issues in Big Data Security

Directory of Open Access Journals (Sweden)

Julio Moreno

2016-09-01

Full Text Available Data is currently one of the most important assets for companies in every field. The continuous growth in the importance and volume of data has created a new problem: it cannot be handled by traditional analysis techniques. This problem was, therefore, solved through the creation of a new paradigm: Big Data. However, Big Data originated new issues related not only to the volume or the variety of the data, but also to data security and privacy. In order to obtain a full perspective of the problem, we decided to carry out an investigation with the objective of highlighting the main issues regarding Big Data security, and also the solutions proposed by the scientific community to solve them. In this paper, we explain the results obtained after applying a systematic mapping study to security in the Big Data ecosystem. It is almost impossible to carry out detailed research into the entire topic of security, and the outcome of this research is, therefore, a big picture of the main problems related to security in a Big Data system, along with the principal solutions to them proposed by the research community.

The Criminal Justice Experience of African American Cocaine Users in Arkansas.

Science.gov (United States)

Zaller, Nickolas; Cheney, Ann M; Curran, Geoffrey M; Booth, Brenda M; Borders, Tyrone F

2016-10-14

African Americans are incarcerated at rates much higher than other racial and ethnic groups in the United States. We sought to qualitatively explore the relationships between ongoing involvement in the criminal justice system and continued drug use in a population of urban and rural African American cocaine users in a southern state. Semi-structured qualitative interviews were conducted among African American cocaine users in Arkansas between 2010 and 2012. Participants resided in both rural (two counties located in the eastern Arkansas Mississippi delta region) and urban (the county including the capital city of Little Rock) areas. Numerous important themes emerged from participants' narratives, including chronic involvement with the criminal justice system (being a "career criminal"), continued access to drugs while incarcerated, relapse, and reincarceration and lack of access to effective drug treatment. Conclusion/Importance: The themes which emerged from our data speak to the collective experience that many substance using populations in the United States face in dealing with the criminal justice system. Our findings highlight the need to better, more holistic ways of engaging African American substance users in community based substance use treatment and supportive services.

Harnessing the Power of Big Data to Improve Graduate Medical Education: Big Idea or Bust?

Science.gov (United States)

Arora, Vineet M

2018-06-01

With the advent of electronic medical records (EMRs) fueling the rise of big data, the use of predictive analytics, machine learning, and artificial intelligence are touted as transformational tools to improve clinical care. While major investments are being made in using big data to transform health care delivery, little effort has been directed toward exploiting big data to improve graduate medical education (GME). Because our current system relies on faculty observations of competence, it is not unreasonable to ask whether big data in the form of clinical EMRs and other novel data sources can answer questions of importance in GME such as when is a resident ready for independent practice.The timing is ripe for such a transformation. A recent National Academy of Medicine report called for reforms to how GME is delivered and financed. While many agree on the need to ensure that GME meets our nation's health needs, there is little consensus on how to measure the performance of GME in meeting this goal. During a recent workshop at the National Academy of Medicine on GME outcomes and metrics in October 2017, a key theme emerged: Big data holds great promise to inform GME performance at individual, institutional, and national levels. In this Invited Commentary, several examples are presented, such as using big data to inform clinical experience and provide clinically meaningful data to trainees, and using novel data sources, including ambient data, to better measure the quality of GME training.

A SWOT Analysis of Big Data

Science.gov (United States)

Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K.

2016-01-01

This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…

A survey of big data research

Science.gov (United States)

Fang, Hua; Zhang, Zhaoyang; Wang, Chanpaul Jin; Daneshmand, Mahmoud; Wang, Chonggang; Wang, Honggang

2015-01-01

Big data create values for business and research, but pose significant challenges in terms of networking, storage, management, analytics and ethics. Multidisciplinary collaborations from engineers, computer scientists, statisticians and social scientists are needed to tackle, discover and understand big data. This survey presents an overview of big data initiatives, technologies and research in industries and academia, and discusses challenges and potential solutions. PMID:26504265

Big Data in Action for Government : Big Data Innovation in Public Services, Policy, and Engagement

OpenAIRE

World Bank

2017-01-01

Governments have an opportunity to harness big data solutions to improve productivity, performance and innovation in service delivery and policymaking processes. In developing countries, governments have an opportunity to adopt big data solutions and leapfrog traditional administrative approaches

African Journals Online: Central African Republic

African Journals Online (AJOL)

African Journals Online: Central African Republic. Home > African Journals Online: Central African Republic. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register · Browse By Category · Browse Alphabetically · Browse By Country · List All Titles · Free to read Titles This ...

78 FR 3911 - Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN; Final Comprehensive...

Science.gov (United States)

2013-01-17

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R3-R-2012-N259; FXRS1265030000-134-FF03R06000] Big Stone National Wildlife Refuge, Big Stone and Lac Qui Parle Counties, MN; Final Comprehensive... significant impact (FONSI) for the environmental assessment (EA) for Big Stone National Wildlife Refuge...

Beyond Vulnerability Assessment: Impact of Developments toward Local Adaptive Capacity in Kemijen City Village, Semarang City

Science.gov (United States)

Jayanimitta, M. E.; Puspasari, D. A.; Widyahantari, R.; Kristina, D.; Ratnaningtyas, T.; Setionurjaya, A.; Anindita, Y. A.

2018-02-01

Vulnerability Assessment is usually used for assessing the ability of an area on facing disaster. In previous studies, the study of Vulnerability Assessment applied only quantitative method to show the vulnerability level. Therefore, this study attempts to add information reviews using qualitative method. Kemijen City Village is one of the administrative areas in the northern part of Semarang City affected by climate change. The residents have to adapt it by renovating and elevating their houses and other infrastructures to avoid floods. There are some development programs held by government, NGOs, and corporations such as Banger Polder Development, PLPBK, etc. It is interesting to know how big the vulnerability level of Kemijen on facing flood disasters, then how the projects can affect local adaptive capacity. To answer it, this research uses mixed-method approach. Vulnerability Assessment uses quantitative method by scoring indicators of Exposure, Sensitivity, and Adaptive Capacity, while the development impact uses qualitative method. The data were collected through interviews and FGD conducted in Joint Studio Course between Diponegoro University and University of Hawaii in October 2016. Non-physical programs such as community empowerment have more positive impacts on local adaptive capacity in Kemijen. Community participation is important for environmental sustainability that can not be done in a short time to educate the people.

Big domains are novel Ca²+-binding modules: evidences from big domains of Leptospira immunoglobulin-like (Lig proteins.

Directory of Open Access Journals (Sweden)

Rajeev Raman

Full Text Available BACKGROUND: Many bacterial surface exposed proteins mediate the host-pathogen interaction more effectively in the presence of Ca²+. Leptospiral immunoglobulin-like (Lig proteins, LigA and LigB, are surface exposed proteins containing Bacterial immunoglobulin like (Big domains. The function of proteins which contain Big fold is not known. Based on the possible similarities of immunoglobulin and βγ-crystallin folds, we here explore the important question whether Ca²+ binds to a Big domains, which would provide a novel functional role of the proteins containing Big fold. PRINCIPAL FINDINGS: We selected six individual Big domains for this study (three from the conserved part of LigA and LigB, denoted as Lig A3, Lig A4, and LigBCon5; two from the variable region of LigA, i.e., 9(th (Lig A9 and 10(th repeats (Lig A10; and one from the variable region of LigB, i.e., LigBCen2. We have also studied the conserved region covering the three and six repeats (LigBCon1-3 and LigCon. All these proteins bind the calcium-mimic dye Stains-all. All the selected four domains bind Ca²+ with dissociation constants of 2-4 µM. Lig A9 and Lig A10 domains fold well with moderate thermal stability, have β-sheet conformation and form homodimers. Fluorescence spectra of Big domains show a specific doublet (at 317 and 330 nm, probably due to Trp interaction with a Phe residue. Equilibrium unfolding of selected Big domains is similar and follows a two-state model, suggesting the similarity in their fold. CONCLUSIONS: We demonstrate that the Lig are Ca²+-binding proteins, with Big domains harbouring the binding motif. We conclude that despite differences in sequence, a Big motif binds Ca²+. This work thus sets up a strong possibility for classifying the proteins containing Big domains as a novel family of Ca²+-binding proteins. Since Big domain is a part of many proteins in bacterial kingdom, we suggest a possible function these proteins via Ca²+ binding.

New 'bigs' in cosmology

International Nuclear Information System (INIS)

Yurov, Artyom V.; Martin-Moruno, Prado; Gonzalez-Diaz, Pedro F.

2006-01-01

This paper contains a detailed discussion on new cosmic solutions describing the early and late evolution of a universe that is filled with a kind of dark energy that may or may not satisfy the energy conditions. The main distinctive property of the resulting space-times is that they make to appear twice the single singular events predicted by the corresponding quintessential (phantom) models in a manner which can be made symmetric with respect to the origin of cosmic time. Thus, big bang and big rip singularity are shown to take place twice, one on the positive branch of time and the other on the negative one. We have also considered dark energy and phantom energy accretion onto black holes and wormholes in the context of these new cosmic solutions. It is seen that the space-times of these holes would then undergo swelling processes leading to big trip and big hole events taking place on distinct epochs along the evolution of the universe. In this way, the possibility is considered that the past and future be connected in a non-paradoxical manner in the universes described by means of the new symmetric solutions

Precarious Projects: Conversions of (Biomedical) Knowledge in an East African City

Science.gov (United States)

Prince, Ruth J.

2014-01-01

This article explores the orientations of lay people in Kenya to science—specifically to biomedical knowledge about HIV—and their struggles to convert this knowledge into meaningful futures. In Kenya, the global response to the HIV-AIDS epidemic has resulted in a highly stratified landscape of intervention. Globally-funded treatment programs and clinical trials, focusing on HIV, channel transnational resources, expertise, and knowledge into specific sites—HIV clinics, NGOs, and research stations—inscribing these spaces as ‘global’ while leaving others decidedly ‘local.’ Rolled out in the form of ‘projects,’ these interventions offer resources and opportunities for a limited time only. Based on ethnographic fieldwork in the city of Kisumu, this article follows the circulation of biomedical knowledge through such projects and its conversion in ways beyond those imagined by policy-makers, as it meets the aspirations of city-dwellers and enters into local livelihoods. Mediated by nongovernmental organizations through workshops and certificates, this knowledge is both fragmentary and ephemeral. I explore the temporal and spatial implications of such knowledge for those who seek to attach themselves to it and shape their identities and futures in relation to it. PMID:24383753

2nd INNS Conference on Big Data

CERN Document Server

Manolopoulos, Yannis; Iliadis, Lazaros; Roy, Asim; Vellasco, Marley

2017-01-01

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.

African urban landscapes over time: Idiosyncrasies, expressions and contexts

DEFF Research Database (Denmark)

Sulas, Federica; Wynne-Jones, Stephanie

As new urban histories emerge from marginal regions, archetypal city models became increasingly untenable to capture the sheer variety of past urban expressions. A shift of focus from origin and (re-) evolution to forms, dynamics and properties is now challenging archaeological approaches...... to urbanism. Africa offers ample expressions of the intrinsic diversity of ancient urban phenomena with ‘unconventional’ urban forms found alongside model-like cities. Yet, past urban footprints are hard to trace on African ground due to visibility and recovery constraints: even prolonged urban sequences...... are often condensed into shallow stratigraphies. The risks of missing key information or simplifying urban trajectories are thus particularly acute. To illustrate the point, this paper develops a contextual and integrative approach to examine two very different urban landscapes (1st mill. AD). First, Aksum...

The ethics of biomedical big data

CERN Document Server

Mittelstadt, Brent Daniel

2016-01-01

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understan...

Scalable privacy-preserving big data aggregation mechanism

Directory of Open Access Journals (Sweden)

Dapeng Wu

2016-08-01

Full Text Available As the massive sensor data generated by large-scale Wireless Sensor Networks (WSNs recently become an indispensable part of ‘Big Data’, the collection, storage, transmission and analysis of the big sensor data attract considerable attention from researchers. Targeting the privacy requirements of large-scale WSNs and focusing on the energy-efficient collection of big sensor data, a Scalable Privacy-preserving Big Data Aggregation (Sca-PBDA method is proposed in this paper. Firstly, according to the pre-established gradient topology structure, sensor nodes in the network are divided into clusters. Secondly, sensor data is modified by each node according to the privacy-preserving configuration message received from the sink. Subsequently, intra- and inter-cluster data aggregation is employed during the big sensor data reporting phase to reduce energy consumption. Lastly, aggregated results are recovered by the sink to complete the privacy-preserving big data aggregation. Simulation results validate the efficacy and scalability of Sca-PBDA and show that the big sensor data generated by large-scale WSNs is efficiently aggregated to reduce network resource consumption and the sensor data privacy is effectively protected to meet the ever-growing application requirements.

A pilot study of gaseous pollutants' measurement (NO2, SO2, NH3, HNO3 and O3) in Abidjan, Côte d'Ivoire: contribution to an overview of gaseous pollution in African cities

Science.gov (United States)

Bahino, Julien; Yoboué, Véronique; Galy-Lacaux, Corinne; Adon, Marcellin; Akpo, Aristide; Keita, Sékou; Liousse, Cathy; Gardrat, Eric; Chiron, Christelle; Ossohou, Money; Gnamien, Sylvain; Djossou, Julien

2018-04-01

(ArcGIS software). Spatial distribution results emphasize the importance of the domestic fires source and the significant impact of the traffic emissions on the scale of the city. In addition, in this work we propose a first overview of gaseous SO2 and NO2 concentrations on the scale of several African cities by comparing literature to our values. The daily SO2 standard of World Health Organization (WHO) is exceeded in most of the cities reported in the overview, with concentrations ranging from 0.2 to 3662 µg m-3. Annual NO2 concentrations ranged from 2 to 175 µg m-3, which are lower than the WHO threshold. As a conclusion, this study constitutes an original database to characterize urban air pollution and a first attempt towards presenting a spatial distribution of the pollution levels at the scale of the metropolis of Abidjan. This work should draw the attention of the African public authorities to the necessity of building an air quality monitoring network in order to (1) to define national standards and to better control the pollutants emissions and (2) to investigate the impact on the health of the growing population in developing African countries.

Ethische aspecten van big data

NARCIS (Netherlands)

N. (Niek) van Antwerpen; Klaas Jan Mollema

2017-01-01

Big data heeft niet alleen geleid tot uitdagende technische vraagstukken, ook gaat het gepaard met allerlei nieuwe ethische en morele kwesties. Om verantwoord met big data om te gaan, moet ook over deze kwesties worden nagedacht. Want slecht datagebruik kan nadelige gevolgen hebben voor

Epidemiology in wonderland: Big Data and precision medicine.

Science.gov (United States)

Saracci, Rodolfo

2018-03-01

Big Data and precision medicine, two major contemporary challenges for epidemiology, are critically examined from two different angles. In Part 1 Big Data collected for research purposes (Big research Data) and Big Data used for research although collected for other primary purposes (Big secondary Data) are discussed in the light of the fundamental common requirement of data validity, prevailing over "bigness". Precision medicine is treated developing the key point that high relative risks are as a rule required to make a variable or combination of variables suitable for prediction of disease occurrence, outcome or response to treatment; the commercial proliferation of allegedly predictive tests of unknown or poor validity is commented. Part 2 proposes a "wise epidemiology" approach to: (a) choosing in a context imprinted by Big Data and precision medicine-epidemiological research projects actually relevant to population health, (b) training epidemiologists, (c) investigating the impact on clinical practices and doctor-patient relation of the influx of Big Data and computerized medicine and (d) clarifying whether today "health" may be redefined-as some maintain in purely technological terms.

Spatio-temporal distribution of Aedes aegypti (Diptera: Culicidae mitochondrial lineages in cities with distinct dengue incidence rates suggests complex population dynamics of the dengue vector in Colombia.

Directory of Open Access Journals (Sweden)

Jeiczon Jaimes-Dueñez

2015-04-01

Full Text Available Aedes aegypti is the primary vector of the four serotypes of dengue virus (DENV1-4, Chikungunya and yellow fever virus to humans. Previous population genetic studies have revealed a particular genetic structure among the vector populations in the Americas that suggests differences in the ability to transmit DENV. In Colombia, despite its high epidemiologic importance, the genetic population structure and the phylogeographic depiction of Ae. aegypti, as well as its relationship with the epidemiologic landscapes in cities with heterogeneous incidence levels, remains unknown. We conducted a spatiotemporal analysis with the aim of determining the genetic structure and phylogeography of Colombian populations of Ae. aegypti among cities with different eco-epidemiologic characteristics with regard to DENV.Mitochondrial cytochrome oxidase C subunit 1 (COI--NADH dehydrogenase subunit 4 (ND4 genes were sequenced and analyzed from 341 adult mosquitoes collected during 2012 and 2013 in the Colombian cities of Bello, Riohacha and Villavicencio, which exhibit low, medium and high levels of incidence of DENV, respectively. The results demonstrated a low genetic differentiation over time and a high genetic structure between the cities due to changes in the frequency of two highly supported genetic groups. The phylogeographic analyses indicated that one group (associated with West African populations was found in all the cities throughout the sampling while the second group (associated with East African populations was found in all the samples from Bello and in only one sampling from Riohacha. Environmental factors such as the use of chemical insecticides showed a significant correlation with decreasing genetic diversity, indicating that environmental factors affect the population structure of Ae. aegypti across time and space in these cities.Our results suggest that two Ae. aegypti lineages are present in Colombia; one that is widespread and related to a West

Big Data and Analytics in Healthcare.

Science.gov (United States)

Tan, S S-L; Gao, G; Koch, S

2015-01-01

This editorial is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare". The amount of data being generated in the healthcare industry is growing at a rapid rate. This has generated immense interest in leveraging the availability of healthcare data (and "big data") to improve health outcomes and reduce costs. However, the nature of healthcare data, and especially big data, presents unique challenges in processing and analyzing big data in healthcare. This Focus Theme aims to disseminate some novel approaches to address these challenges. More specifically, approaches ranging from efficient methods of processing large clinical data to predictive models that could generate better predictions from healthcare data are presented.

Big Data for Business Ecosystem Players

Directory of Open Access Journals (Sweden)

Perko Igor

2016-06-01

Full Text Available In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. Literature analysis is used to identify the state of the art of Big Data related research in the major domains of its use-namely, individual marketing, health treatment, work opportunities, financial services, and security enforcement. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Relationships between the domains and players were explained through new Big Data opportunities and threats and by players’ responsive strategies. System dynamics was used to visualize relationships in the provided model.

"Big data" in economic history.

Science.gov (United States)

Gutmann, Myron P; Merchant, Emily Klancher; Roberts, Evan

2018-03-01

Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data - population and environment - discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.

Big Data Knowledge in Global Health Education.

Science.gov (United States)

Olayinka, Olaniyi; Kekeh, Michele; Sheth-Chandra, Manasi; Akpinar-Elci, Muge

The ability to synthesize and analyze massive amounts of data is critical to the success of organizations, including those that involve global health. As countries become highly interconnected, increasing the risk for pandemics and outbreaks, the demand for big data is likely to increase. This requires a global health workforce that is trained in the effective use of big data. To assess implementation of big data training in global health, we conducted a pilot survey of members of the Consortium of Universities of Global Health. More than half the respondents did not have a big data training program at their institution. Additionally, the majority agreed that big data training programs will improve global health deliverables, among other favorable outcomes. Given the observed gap and benefits, global health educators may consider investing in big data training for students seeking a career in global health. Copyright © 2017 Icahn School of Medicine at Mount Sinai. Published by Elsevier Inc. All rights reserved.

GEOSS: Addressing Big Data Challenges

Science.gov (United States)

Nativi, S.; Craglia, M.; Ochiai, O.

2014-12-01

In the sector of Earth Observation, the explosion of data is due to many factors including: new satellite constellations, the increased capabilities of sensor technologies, social media, crowdsourcing, and the need for multidisciplinary and collaborative research to face Global Changes. In this area, there are many expectations and concerns about Big Data. Vendors have attempted to use this term for their commercial purposes. It is necessary to understand whether Big Data is a radical shift or an incremental change for the existing digital infrastructures. This presentation tries to explore and discuss the impact of Big Data challenges and new capabilities on the Global Earth Observation System of Systems (GEOSS) and particularly on its common digital infrastructure called GCI. GEOSS is a global and flexible network of content providers allowing decision makers to access an extraordinary range of data and information at their desk. The impact of the Big Data dimensionalities (commonly known as 'V' axes: volume, variety, velocity, veracity, visualization) on GEOSS is discussed. The main solutions and experimentation developed by GEOSS along these axes are introduced and analyzed. GEOSS is a pioneering framework for global and multidisciplinary data sharing in the Earth Observation realm; its experience on Big Data is valuable for the many lessons learned.

Big data for bipolar disorder.

Science.gov (United States)

Monteith, Scott; Glenn, Tasha; Geddes, John; Whybrow, Peter C; Bauer, Michael

2016-12-01

The delivery of psychiatric care is changing with a new emphasis on integrated care, preventative measures, population health, and the biological basis of disease. Fundamental to this transformation are big data and advances in the ability to analyze these data. The impact of big data on the routine treatment of bipolar disorder today and in the near future is discussed, with examples that relate to health policy, the discovery of new associations, and the study of rare events. The primary sources of big data today are electronic medical records (EMR), claims, and registry data from providers and payers. In the near future, data created by patients from active monitoring, passive monitoring of Internet and smartphone activities, and from sensors may be integrated with the EMR. Diverse data sources from outside of medicine, such as government financial data, will be linked for research. Over the long term, genetic and imaging data will be integrated with the EMR, and there will be more emphasis on predictive models. Many technical challenges remain when analyzing big data that relates to size, heterogeneity, complexity, and unstructured text data in the EMR. Human judgement and subject matter expertise are critical parts of big data analysis, and the active participation of psychiatrists is needed throughout the analytical process.

BIG DATA IN TAMIL: OPPORTUNITIES, BENEFITS AND CHALLENGES

OpenAIRE

R.S. Vignesh Raj; Babak Khazaei; Ashik Ali

2015-01-01

This paper gives an overall introduction on big data and has tried to introduce Big Data in Tamil. It discusses the potential opportunities, benefits and likely challenges from a very Tamil and Tamil Nadu perspective. The paper has also made original contribution by proposing the ‘big data’s’ terminology in Tamil. The paper further suggests a few areas to explore using big data Tamil on the lines of the Tamil Nadu Government ‘vision 2023’. Whilst, big data has something to offer everyone, it ...

Quantifying the Modern City: Emerging Technologies and Big Data for Active Living Research

Directory of Open Access Journals (Sweden)

Deepti Adlakha

2017-05-01

Full Text Available Opportunities and infrastructure for active living are an important aspect of a community’s design, livability, and health. Features of the built environment influence active living and population levels of physical activity, but objective study of the built environment influence on active living behaviors is challenging. The use of emerging technologies for active living research affords new and promising means to obtain objective data on physical activity behaviors and improve the precision and accuracy of measurements. This is significant for physical activity promotion because precise measurements can enable detailed examinations of where, when, and how physical activity behaviors actually occur, thus enabling more effective targeting of particular behavior settings and environments. The aim of this focused review is to provide an overview of trends in emerging technologies that can profoundly change our ability to understand environmental determinants of active living. It discusses novel technological approaches and big data applications to measure and track human behaviors that may have broad applications across the fields of urban planning, public health, and spatial epidemiology.

Big data in biomedicine.

Science.gov (United States)

Costa, Fabricio F

2014-04-01

The increasing availability and growth rate of biomedical information, also known as 'big data', provides an opportunity for future personalized medicine programs that will significantly improve patient care. Recent advances in information technology (IT) applied to biomedicine are changing the landscape of privacy and personal information, with patients getting more control of their health information. Conceivably, big data analytics is already impacting health decisions and patient care; however, specific challenges need to be addressed to integrate current discoveries into medical practice. In this article, I will discuss the major breakthroughs achieved in combining omics and clinical health data in terms of their application to personalized medicine. I will also review the challenges associated with using big data in biomedicine and translational science. Copyright © 2013 Elsevier Ltd. All rights reserved.

Big Data’s Role in Precision Public Health

Science.gov (United States)

Dolley, Shawn

2018-01-01

Precision public health is an emerging practice to more granularly predict and understand public health risks and customize treatments for more specific and homogeneous subpopulations, often using new data, technologies, and methods. Big data is one element that has consistently helped to achieve these goals, through its ability to deliver to practitioners a volume and variety of structured or unstructured data not previously possible. Big data has enabled more widespread and specific research and trials of stratifying and segmenting populations at risk for a variety of health problems. Examples of success using big data are surveyed in surveillance and signal detection, predicting future risk, targeted interventions, and understanding disease. Using novel big data or big data approaches has risks that remain to be resolved. The continued growth in volume and variety of available data, decreased costs of data capture, and emerging computational methods mean big data success will likely be a required pillar of precision public health into the future. This review article aims to identify the precision public health use cases where big data has added value, identify classes of value that big data may bring, and outline the risks inherent in using big data in precision public health efforts. PMID:29594091

Big inquiry

Energy Technology Data Exchange (ETDEWEB)

Wynne, B [Lancaster Univ. (UK)

1979-06-28

The recently published report entitled 'The Big Public Inquiry' from the Council for Science and Society and the Outer Circle Policy Unit is considered, with especial reference to any future enquiry which may take place into the first commercial fast breeder reactor. Proposals embodied in the report include stronger rights for objectors and an attempt is made to tackle the problem that participation in a public inquiry is far too late to be objective. It is felt by the author that the CSS/OCPU report is a constructive contribution to the debate about big technology inquiries but that it fails to understand the deeper currents in the economic and political structure of technology which so influence the consequences of whatever formal procedures are evolved.

Big data analytics with R and Hadoop

CERN Document Server

Prajapati, Vignesh

2013-01-01

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.

Big data in forensic science and medicine.

Science.gov (United States)

Lefèvre, Thomas

2018-07-01

In less than a decade, big data in medicine has become quite a phenomenon and many biomedical disciplines got their own tribune on the topic. Perspectives and debates are flourishing while there is a lack for a consensual definition for big data. The 3Vs paradigm is frequently evoked to define the big data principles and stands for Volume, Variety and Velocity. Even according to this paradigm, genuine big data studies are still scarce in medicine and may not meet all expectations. On one hand, techniques usually presented as specific to the big data such as machine learning techniques are supposed to support the ambition of personalized, predictive and preventive medicines. These techniques are mostly far from been new and are more than 50 years old for the most ancient. On the other hand, several issues closely related to the properties of big data and inherited from other scientific fields such as artificial intelligence are often underestimated if not ignored. Besides, a few papers temper the almost unanimous big data enthusiasm and are worth attention since they delineate what is at stakes. In this context, forensic science is still awaiting for its position papers as well as for a comprehensive outline of what kind of contribution big data could bring to the field. The present situation calls for definitions and actions to rationally guide research and practice in big data. It is an opportunity for grounding a true interdisciplinary approach in forensic science and medicine that is mainly based on evidence. Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Parsing the Gulf between Africans and African Americans

Directory of Open Access Journals (Sweden)

Ashly Nsangou

2018-02-01

Full Text Available The rise in African immigrants to the US provides an opportunity to assess relations between Africans and African Americans in college. An online survey of 322 current and recently-graduated college students (including 45 Africans, 160 African Americans, and 117 whites assessed respondents’ experiences of racism in US high schools and colleges. Semi-structured interviews of 30 students (10 African, 10 African American and 10 white students supplemented these data. Even within a sociopolitical context of more visible racial intolerance, Black intra-racial cohesion was absent. Although more first- and second-generation Africans (73% felt that they had been judged while living in the US compared to African Americans (34% or whites (20%, for 70–80% of respondents, this had occurred only in high school. Despite experiencing these judgments, Africans’ identity related more to their focus on education than their race, reflected in a higher proportion who felt intense family pressure to attend college (65% compared to African Americans (37% and whites (39%. Interview data confirmed previous reports in the literature that African Americans lack a sense of connection to Africans, attributed to Africans’ purported sense of superiority and disregard for African Americans’ ongoing struggle to end oppression. These mixed-methods data suggest that intermingling in the college environment has not resulted in first- and second-generation Africans and African Americans sharing a common in-group, race-based identity. We discuss the implications of overlooking ethnic distinctions due to presumptions of racial homogeneity that deprive Black individuals of their uniqueness.

NASA's Big Data Task Force

Science.gov (United States)

Holmes, C. P.; Kinter, J. L.; Beebe, R. F.; Feigelson, E.; Hurlburt, N. E.; Mentzel, C.; Smith, G.; Tino, C.; Walker, R. J.

2017-12-01

Two years ago NASA established the Ad Hoc Big Data Task Force (BDTF - https://science.nasa.gov/science-committee/subcommittees/big-data-task-force), an advisory working group with the NASA Advisory Council system. The scope of the Task Force included all NASA Big Data programs, projects, missions, and activities. The Task Force focused on such topics as exploring the existing and planned evolution of NASA's science data cyber-infrastructure that supports broad access to data repositories for NASA Science Mission Directorate missions; best practices within NASA, other Federal agencies, private industry and research institutions; and Federal initiatives related to big data and data access. The BDTF has completed its two-year term and produced several recommendations plus four white papers for NASA's Science Mission Directorate. This presentation will discuss the activities and results of the TF including summaries of key points from its focused study topics. The paper serves as an introduction to the papers following in this ESSI session.

Big Data Technologies

Science.gov (United States)

Bellazzi, Riccardo; Dagliati, Arianna; Sacchi, Lucia; Segagni, Daniele

2015-01-01

The so-called big data revolution provides substantial opportunities to diabetes management. At least 3 important directions are currently of great interest. First, the integration of different sources of information, from primary and secondary care to administrative information, may allow depicting a novel view of patient’s care processes and of single patient’s behaviors, taking into account the multifaceted nature of chronic care. Second, the availability of novel diabetes technologies, able to gather large amounts of real-time data, requires the implementation of distributed platforms for data analysis and decision support. Finally, the inclusion of geographical and environmental information into such complex IT systems may further increase the capability of interpreting the data gathered and extract new knowledge from them. This article reviews the main concepts and definitions related to big data, it presents some efforts in health care, and discusses the potential role of big data in diabetes care. Finally, as an example, it describes the research efforts carried on in the MOSAIC project, funded by the European Commission. PMID:25910540

Learning Freedom: Education, Elevation, and New York's African-American Community, 1827-1829

Science.gov (United States)

Hines, Michael

2016-01-01

Even though the black community of antebellum New York City lived in a society that marginalized them socially and economically, they were intent on pursuing the basic privileges of American citizenship. One tactic African Americans employed to this end was the tenacious pursuit of education, which leaders believed would act both as an aid in…

The Berlin Inventory of Gambling behavior - Screening (BIG-S): Validation using a clinical sample.

Science.gov (United States)

Wejbera, Martin; Müller, Kai W; Becker, Jan; Beutel, Manfred E

2017-05-18

Published diagnostic questionnaires for gambling disorder in German are either based on DSM-III criteria or focus on aspects other than life time prevalence. This study was designed to assess the usability of the DSM-IV criteria based Berlin Inventory of Gambling Behavior Screening tool in a clinical sample and adapt it to DSM-5 criteria. In a sample of 432 patients presenting for behavioral addiction assessment at the University Medical Center Mainz, we checked the screening tool's results against clinical diagnosis and compared a subsample of n=300 clinically diagnosed gambling disorder patients with a comparison group of n=132. The BIG-S produced a sensitivity of 99.7% and a specificity of 96.2%. The instrument's unidimensionality and the diagnostic improvements of DSM-5 criteria were verified by exploratory and confirmatory factor analysis as well as receiver operating characteristic analysis. The BIG-S is a reliable and valid screening tool for gambling disorder and demonstrated its concise and comprehensible operationalization of current DSM-5 criteria in a clinical setting.

Association Between Life Event Stressors and Low Birth Weight in African American and White Populations: Findings from the 2007 and 2010 Los Angeles Mommy and Baby (LAMB) Surveys.

Science.gov (United States)

Zhao, Yuan; Kershaw, Trace; Ettinger, Adrienne S; Higgins, Chandra; Lu, Michael C; Chao, Shin M

2015-10-01

We examined the association between life events stressors during pregnancy and low birth weight (LBW) among African Americans and Whites, while systematically controlling for potential confounders including individual characteristics and city-level variations and clustering. We analyzed data from 4970 women with singleton births who participated in the 2007 and 2010 Los Angeles Mommy and Baby Surveys. Multilevel logistic regression was used to assess the association between emotional, financial, spousal and traumatic stressors and LBW among African Americans and Whites. Potential confounders included were: the city-level Economic Hardship Index, maternal demographics, pre-pregnancy conditions, insurance, behavioral risk factors and social support. African Americans were significantly more likely to experience any domain of stressors during their pregnancy, compared to Whites (p stressors and LBW was significantly different between African Americans and Whites (p for interaction = 0.015). Experience of financial stressors during pregnancy was significantly associated with LBW among African Americans (adjusted odds ratio = 1.49; 95 % confidence interval = 1.01-2.22) but not Whites. Differential impact of financial stressors during pregnancy may contribute to racial disparities in LBW between African Americans and Whites. We showed that financial life event stressors, but not other domains of stressors, were more likely to impact LBW among African Americans than Whites. Initiatives aimed at mitigating the negative impacts of financial stress during pregnancy may contribute to reducing disparities in birth outcomes between African Americans and Whites.

Traffic information computing platform for big data

Energy Technology Data Exchange (ETDEWEB)

Duan, Zongtao, E-mail: ztduan@chd.edu.cn; Li, Ying, E-mail: ztduan@chd.edu.cn; Zheng, Xibin, E-mail: ztduan@chd.edu.cn; Liu, Yan, E-mail: ztduan@chd.edu.cn; Dai, Jiting, E-mail: ztduan@chd.edu.cn; Kang, Jun, E-mail: ztduan@chd.edu.cn [Chang' an University School of Information Engineering, Xi' an, China and Shaanxi Engineering and Technical Research Center for Road and Traffic Detection, Xi' an (China)

2014-10-06

Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

Traffic information computing platform for big data

International Nuclear Information System (INIS)

Duan, Zongtao; Li, Ying; Zheng, Xibin; Liu, Yan; Dai, Jiting; Kang, Jun

2014-01-01

Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users

Meeting Social Challenges in Developing Sustainable Environmental Infrastructures in East African Cities

NARCIS (Netherlands)

Oosterveer, P.J.M.; Spaargaren, G.

2010-01-01

The slum population in sub-Saharan Africa is expected to grow from 101 million in 1990 to 313 million in 2015. Modernizing sanitation therefore has to adapt to the context of cities with high densities of poor people under the conditions of absent or fragmented environmental infrastructures and

Fremtidens landbrug bliver big business

DEFF Research Database (Denmark)

Hansen, Henning Otte

2016-01-01

Landbrugets omverdensforhold og konkurrencevilkår ændres, og det vil nødvendiggøre en udvikling i retning af “big business“, hvor landbrugene bliver endnu større, mere industrialiserede og koncentrerede. Big business bliver en dominerende udvikling i dansk landbrug - men ikke den eneste...

Quantum nature of the big bang.

Science.gov (United States)

Ashtekar, Abhay; Pawlowski, Tomasz; Singh, Parampreet

2006-04-14

Some long-standing issues concerning the quantum nature of the big bang are resolved in the context of homogeneous isotropic models with a scalar field. Specifically, the known results on the resolution of the big-bang singularity in loop quantum cosmology are significantly extended as follows: (i) the scalar field is shown to serve as an internal clock, thereby providing a detailed realization of the "emergent time" idea; (ii) the physical Hilbert space, Dirac observables, and semiclassical states are constructed rigorously; (iii) the Hamiltonian constraint is solved numerically to show that the big bang is replaced by a big bounce. Thanks to the nonperturbative, background independent methods, unlike in other approaches the quantum evolution is deterministic across the deep Planck regime.

Gender-based discrimination as reflected in the laws of urinary segregation: Comparing facilities in South Africa’s major cities with those in East Coast cities in the United States of America

Directory of Open Access Journals (Sweden)

Renier Steyn

2014-01-01

Full Text Available International treaties, national legislation and local by-laws advocate the equal treatment of people of different genders, but there are still claims of gender-based discrimination. However, indicators of discrimination against women, including employment ratios and differences in income, show that great strides have been made in the recent past. These measures are, however, often biased. In this study a different, more exact and tangible method of detecting and describing discrimination is presented, based on the difference between the number of ablution facilities provided for each gender group in public spaces. Ablution facilities at airports, train stations and shopping centres in four major South African cities (N=128 were inspected. The same was done at six East Coast cities in the United States of America (USA; N=124. Medium to large differences in the respective number of facilities were found (eta2 .05 to .13 in South Africa, with women receiving fewer services than those for men. The same tendency was not found in the USA. These results suggest that, despite the progressive legislation and vigorous affirmative action applied in South Africa, South African women are still being discriminated against on a very concrete, tangible level.

Socio-spatial transformation in Africa: a framework to map the process and guide the planning of future cities

CSIR Research Space (South Africa)

Landman, K

2006-03-01

Full Text Available , the spatial environment is also transformed, in some cases almost overnight. Do these changes facilitate envisioned social change and what are their impacts and implications for future African cities? The purpose of this paper is to explore the relevance of a...

Big data processing in the cloud - Challenges and platforms

Science.gov (United States)

Zhelev, Svetoslav; Rozeva, Anna

2017-12-01

Choosing the appropriate architecture and technologies for a big data project is a difficult task, which requires extensive knowledge in both the problem domain and in the big data landscape. The paper analyzes the main big data architectures and the most widely implemented technologies used for processing and persisting big data. Clouds provide for dynamic resource scaling, which makes them a natural fit for big data applications. Basic cloud computing service models are presented. Two architectures for processing big data are discussed, Lambda and Kappa architectures. Technologies for big data persistence are presented and analyzed. Stream processing as the most important and difficult to manage is outlined. The paper highlights main advantages of cloud and potential problems.

African Journals Online: African Studies

African Journals Online (AJOL)

Items 51 - 56 of 56 ... Research Review of the Institute of African Studies. Please note: As of 2013 the Research Review of the Institute of African Studies is now publishing under the title Contemporary Journal of African Studies. You can view the CJAS pages on AJOL here: http://www.ajol.info/index.php/contjas/index.

Ethics and Epistemology in Big Data Research.

Science.gov (United States)

Lipworth, Wendy; Mason, Paul H; Kerridge, Ian; Ioannidis, John P A

2017-12-01

Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals.

Black versus Black: The Relationship among African, African American, and African Caribbean Persons.

Science.gov (United States)

Jackson, Jennifer V.; Cothran, Mary E.

2003-01-01

Surveyed people of African descent regarding relationships among African, African-American, and African-Caribbean persons, focusing on contact and friendship, travel to countries of the diaspora, cross-cultural communication, thoughts and stereotypes, and education. Most respondents had contacts with the other groups, but groups had preconceived…

Identifying Tourist Places of Interest Based on Digital Imprints: Towards a Sustainable Smart City

Directory of Open Access Journals (Sweden)

Luis Encalada

2017-12-01

Full Text Available As cities become increasingly complex, Information and Communication Technologies (ICTs bring smartness into organisations and communities, contributing to a more competitive tourism destination, i.e., smart tourism destinations. Enhanced information access coupled with a new kind of tourists avid for online content and predisposed to share information on social media, allows for a better understanding of tourist behaviour regarding their spatial distribution in urban destinations. Thus, smart tourism portrays individuals as information makers, refining the available alternatives for tracking their location. Big data analytics is a technology with the potential to develop Smart City services. From the analysis of the spatial distribution of tourists in the city of Lisbon based on data collected from the ‘Panoramio’ social network, we identify the most popular places in the city in a context of tourist visits. This new data largely contributes to understanding the consumption of space within urban tourist destinations and therefore enables us to differentiate the overcrowded places from the ones with potential to grow. This allows decision-makers to imagine new ways of planning and managing towards a sustainable ‘smart’ future.

Challenging the Concept of ''informal'' in Sub-Saharan African Cities

DEFF Research Database (Denmark)

Eskemose Andersen, Jørgen

2014-01-01

-modern (Folkers 2009, Hardoy 1990, Jenkins 2011, Nielsen 2008, Nguluma 2003, Mitlin, D. 2004, Koolhaas 2006). In 2003 the UN adopted a new terminology for what over decades used to be labelled as ‘informal’-, ‘squatter’-, ‘illegal’-, ‘unplanned’-, ‘spontaneous’ settlements, “shanty towns” with the term “slum” (UN...... habitat 2003). However, defining what slum implies is complex and this author consider the term as prejudiced and not covering the diversity most informal settlements represents Further the term stigmatises a remarkable share of any city population in SSA (Huchzermeyer 2011, Davis 2007, Harber 2011, Garau...

Victoria Stodden: Scholarly Communication in the Era of Big Data and Big Computation