Focus on environmental risks and migration: causes and consequences

Environmental change poses risks to societies, including disrupting social and economic systems such as migration. At the same time, migration is an effective adaptation to environmental and other risks. We review novel science on interactions between migration, environmental risks and climate change. We highlight emergent findings, including how dominant flows of rural to urban migration mean that populations are exposed to new risks within destination areas and the requirement for urban sustainability. We highlight the issue of lack of mobility as a major issue limiting the effectiveness of migration as an adaptation strategy and leading to potentially trapped populations. The paper presents scenarios of future migration that show both displacement and trapped populations over the incoming decades. Papers in the special issue bring new insights from demography, human geography, political science and environmental science to this emerging field.

How do people perceive, understand, and anticipate responding to flash flood risks and warnings? Results from a public survey in Boulder, Colorado, USA

This study investigates flash flood forecast and warning communication, interpretation, and decision making, using data from a survey of 418 members of the public in Boulder, Colorado, USA. Respondents to the public survey varied in their perceptions and understandings of flash flood risks in Boulder, and some had misconceptions about flash flood risks, such as the safety of crossing fast-flowing water. About 6% of respondents indicated consistent reversals of US watch-warning alert terminology. However, more in-depth analysis illustrates the multi-dimensional, situationally dependent meanings of flash flood alerts, as well as the importance of evaluating interpretation and use of warning information along with alert terminology. Some public respondents estimated low likelihoods of flash flooding given a flash flood warning; these were associated with lower anticipated likelihood of taking protective action given a warning. Protective action intentions were also lower among respondents who had less trust in flash flood warnings, those who had not made prior preparations for flash flooding, and those who believed themselves to be safer from flash flooding. Additional analysis, using open-ended survey questions about responses to warnings, elucidates the complex, contextual nature of protective decision making during flash flood threats. These findings suggest that warnings can play an important role not only by notifying people that there is a threat and helping motivate people to take protective action, but also by helping people evaluate what actions to take given their situation.

Students’ perception of privacy risks in using social networking sites for learning: a study of Uganda Christian University

Although social networking sites (SNSs) present a great deal of opportunities to support learning, the privacy risk is perceived by learners as a friction point that affects their full use for learning. Privacy risks in SNSs can be divided into risks that are posed by the SNS provider itself and risks that result from user’s social interactions. Using an online survey questionnaire, this study explored the students’ perception of the benefits in using social networking sites for learning purposes and their perceived privacy risks. A sample of 214 students from Uganda Christian University in Africa was studied. The results show that although 88 % of participants indicated the usefulness of SNSs for learning, they are also aware of the risks associated with these sites. Most of the participants are concerned with privacy risks such as identity theft, cyber bullying, and impersonation that might influence their online learning participation in SNSs.

Interactions between climate change and land use change on biodiversity: attribution problems, risks, and opportunities

Global change drivers are known to interact in their effects on biodiversity, but much research to date ignores this complexity. As a consequence, there are problems in the attribution of biodiversity change to different drivers and, therefore, our ability to manage habitats and landscapes appropriately. Few studies explicitly acknowledge and account for interactive (i.e., nonadditive) effects of land use and climate change on biodiversity. One reason is that the mechanisms by which drivers interact are poorly understood. We evaluate such mechanisms, including interactions between demographic parameters, evolutionary trade-offs and synergies and threshold effects of population size and patch occupancy on population persistence. Other reasons for the lack of appropriate research are limited data availability and analytical issues in addressing interaction effects. We highlight the influence that attribution errors can have on biodiversity projections and discuss experimental designs and analytical tools suited to this challenge. Finally, we summarize the risks and opportunities provided by the existence of interaction effects. Risks include ineffective conservation management; but opportunities also arise, whereby the negative impacts of climate change on biodiversity can be reduced through appropriate land management as an adaptation measure. We hope that increasing the understanding of key mechanisms underlying interaction effects and discussing appropriate experimental and analytical designs for attribution will help researchers, policy makers, and conservation practitioners to better minimize risks and exploit opportunities provided by land use-climate change interactions.

Commodity risks and the cross-section of equity returns

The article examines whether commodity risk is priced in the cross-section of global equity returns. We employ a long-only equally-weighted portfolio of commodity futures and a term structure portfolio that captures phases of backwardation and contango as mimicking portfolios for commodity risk. We find that equity-sorted portfolios with greater sensitivities to the excess returns of the backwardation and contango portfolio command higher average excess returns, suggesting that when measured appropriately, commodity risk is pervasive in stocks. Our conclusions are robust to the addition to the pricing model of financial, macroeconomic and business cycle-based risk factors.

Climatic risks and impacts in South Asia: extremes of water scarcity and excess

This paper reviews the current knowledge of climatic risks and impacts in South Asia associated with anthropogenic warming levels of 1.5°C to 4°C above pre-industrial values in the 21st century. It is based on the World Bank Report “Turn Down the Heat, Climate Extremes, Regional Impacts and the Case for Resilience” (2013). Many of the climate change impacts in the region, which appear quite severe even with relatively modest warming of 1.5–2°C, pose significant hazards to development. For example, increased monsoon variability and loss or glacial meltwater will likely confront populations with ongoing and multiple challenges. The result is a significant risk to stable and reliable water resources for the region, with increases in peak flows potentially causing floods and dry season flow reductions threatening agriculture. Irrespective of the anticipated economic development and growth, climate projections indicate that large parts of South Asia’s growing population and especially the poor are likely to remain highly vulnerable to climate change.

Il/legitimate risks? Occupational health and safety and the public in Britain, c. 1960-2015

The last 20 years have seen the emergence of a popular climate of antipathy towards occupational health and safety regulation within the UK, particularly within the mainstream British media. The governance of health and safety has thus in recent years become an increasingly visible and contested public and political issue. The extent of this contestation, and its impact on the State’s governance of health and safety in the workplace and beyond, is explained and historicized within this chapter. Why has public rhetoric about health and safety apparently become so important in framing the ways in which the State could legitimately act in recent years? The chapter demonstrates how since 1960 the State remained a significant player – one among many, admittedly – and that while its roles in managing health and safety had long been bounded by a number of factors, a variable that emerged with particular saliency over the last 20 years has been a mediated notion of ‘public opinion’. This focus serves to remind us of the ways in which State action has at certain moments been pushed in particular directions by factors beyond formal mechanisms of rule.

Bayesian Estimation of the Logistic Positive Exponent IRT Model

A Bayesian inference approach using Markov Chain Monte Carlo (MCMC) is developed for the logistic positive exponent (LPE) model proposed by Samejima and for a new skewed Logistic Item Response Theory (IRT) model, named Reflection LPE model. Both models lead to asymmetric item characteristic curves (ICC) and can be appropriate because a symmetric ICC treats both correct and incorrect answers symmetrically, which results in a logical contradiction in ordering examinees on the ability scale. A data set corresponding to a mathematical test applied in Peruvian public schools is analyzed, where comparisons with other parametric IRT models also are conducted. Several model comparison criteria are discussed and implemented. The main conclusion is that the LPE and RLPE IRT models are easy to implement and seem to provide the best fit to the data set considered.

Prediction in Multilevel Logistic Regression

The purpose of this article is to present a new method to predict the response variable of an observation in a new cluster for a multilevel logistic regression. The central idea is based on the empirical best estimator for the random effect. Two estimation methods for multilevel model are compared: penalized quasi-likelihood and Gauss-Hermite quadrature. The performance measures for the prediction of the probability for a new cluster observation of the multilevel logistic model in comparison with the usual logistic model are examined through simulations and an application.

Classification of Parkinson’s Disease using MultiPass Lvq,Logistic Model Tree,K-Star for Audio Data set : Classification of Parkinson Disease using Audio Dataset

Parkinson's disease (PD) is a degenerative illness whose cardinal symptoms include rigidity, tremor, and slowness of movement. In addition to its widely recognized effects PD can have a profound effect on speech and voice.The speech symptoms most commonly demonstrated by patients with PD are reduced vocal loudness, monopitch, disruptions of voice quality, and abnormally fast rate of speech. This cluster of speech symptoms is often termed Hypokinetic Dysarthria.The disease can be difficult to diagnose accurately, especially in its early stages, due to this reason, automatic techniques based on Artificial Intelligence should increase the diagnosing accuracy and to help the doctors make better decisions. The aim of the thesis work is to predict the PD based on the audio files collected from various patients.Audio files are preprocessed in order to attain the features.The preprocessed data contains 23 attributes and 195 instances. On an average there are six voice recordings per person, By using data compression technique such as Discrete Cosine Transform (DCT) number of instances can be minimized, after data compression, attribute selection is done using several WEKA build in methods such as ChiSquared, GainRatio, Infogain after identifying the important attributes, we evaluate attributes one by one by using stepwise regression.Based on the selected attributes we process in WEKA by using cost sensitive classifier with various algorithms like MultiPass LVQ, Logistic Model Tree(LMT), K-Star.The classified results shows on an average 80%.By using this features 95% approximate classification of PD is acheived.This shows that using the audio dataset, PD could be predicted with a higher level of accuracy.

No consensus on gestational diabetes mellitus screening regimes in Sweden : pregnancy outcomes in relation to different screening regimes 2011 to 2012, a cross-sectional study

Background: Although associated adverse pregnancy outcomes, no international or Swedish consensus exists that identifies a cut-off value or what screening method to use for definition of gestational diabetes mellitus. This study investigates the following: i) guidelines for screening of GDM; ii) background and risk factors for GDM and selection to OGTT; and iii) pregnancy outcomes in relation to GDM, screening regimes and levels of OGTT 2 hour glucose values. Methods: This cross-sectional and population-based study uses data from the Swedish Maternal Health Care Register (MHCR) (2011 and 2012) combined with guidelines for GDM screening (2011-2012) from each Maternal Health Care Area (MHCA) in Sweden. The sample consisted of 184, 183 women: 88, 140 in 2011 and 96,043 in 2012. Chi-square and two independent samples t-tests were used. Univariate and multivariate logistic regression analyses were performed. Results: Four screening regimes of oral glucose tolerance test (OGTT) (75 g of glucose) were used: A) universal screening with a 2-hour cut-off value of 10.0 mmol/L; B) selective screening with a 2-hour cut-off value of 8.9 mmol/L; C) selective screening with a 2-hour cut-off value of 10.0 mmol/L; and D) selective screening with a 2-hour cut-off value of 12.2 mmol/L. The highest prevalence of GDM (2.9%) was found with a 2-hour cut-off value of 8.9 mmol/L when selective screening was applied. Unemployment and low educational level were associated with an increased risk of GDM. The OR was 4.14 (CI 95%: 3.81-4.50) for GDM in obese women compared to women with BMI <30 kg/m(2). Women with non-Nordic origin presented a more than doubled risk for GDM compared to women with Nordic origin (OR = 2.24; CI 95%: 2.06-2.43). Increasing OGTT values were associated with increasing risks of adverse pregnancy outcomes. Conclusions: There was no consensus regarding screening regimes for GDM from 2011 through 2012 when four different regimes were applied in Sweden. Increasing levels of OGTT 2-hour glucose values were strongly associated with adverse pregnancy outcomes. Based on these findings, we suggest that Sweden adopts the recent recommendations of the International Association of Diabetes and Pregnancy Study Group (IADPSG) concerning the performance of OGTT and the diagnostic criteria for GDM.

Diabetes mellitus : magnitude das hospitalizações na rede pública do Brasil, 1999-2001

Contexto: O diabetes mellitus (DM) é uma causa importante de morbimortalidade nas sociedades ocidentais devido à carga de sofrimento, incapacidade, perda de produtividade e morte prematura que provoca. No Brasil, seu impacto econômico é desconhecido. Objetivos: Dimensionar a participação do DM nas hospitalizações da rede pública brasileira (1999-2001), colaborando na avaliação dos custos diretos. Especificamente, analisar as hospitalizações (327.800) e os óbitos hospitalares (17.760) por DM como diagnóstico principal (CID-10 E10-E14 e procedimento realizado) e estimar as hospitalizações atribuíveis ao DM, incluindo as anteriores e aquelas por complicações crônicas (CC) e condições médicas gerais (CMG). Métodos: A partir de dados do Sistema de Informação Hospitalar do Sistema Único de Saúde (SIH/SUS) (37 milhões de hospitalizações), foram calculados indicadores por região de residência do paciente e sexo (ajustados por idade pelo método direto, com intervalos de confiança de 95%), faixas etárias, médias de permanência e de gastos por internação e populacional em US$. Realizou-se regressão logística múltipla para o desfecho óbito. As prevalências de DM foram combinadas aos riscos relativos de hospitalização por CC e CMG (metodologia do risco atribuível) e somadas às internações por DM como diagnóstico principal. Utilizou-se análise de sensibilidade para diferentes prevalências e riscos relativos. Resultados: Os coeficientes de hospitalizações e de óbitos hospitalares e a letalidade por DM como diagnóstico principal atingiram respectivamente 6,4/104hab., 34,9/106hab. e 5,4%. As mulheres apresentaram os coeficientes mais elevados, porém os homens predominaram na letalidade em todas as regiões. O gasto médio (US$ 150,59) diferiu significativamente entre as internações com e sem óbito, mas a média de permanência (6,4 dias) foi semelhante. O gasto populacional equivaleu a US$ 969,09/104hab. As razões de chances de óbito foram maiores para homens, pacientes ≥75 anos, e habitantes das regiões Nordeste e Sudeste. As hospitalizações atribuíveis ao DM foram estimadas em 836,3 mil/ano (49,3/104hab.), atingindo US$ 243,9 milhões/ano (US$ 14,4 mil/104hab.). DM como diagnóstico principal (13,1%), CC (41,5%) e CMG (45,4%) responderam por 6,7%, 51,4% e 41,9% respectivamente dos gastos. O valor médio das internações atribuíveis (US$ 292) situou-se 36% acima das não-atribuíveis. As doenças vasculares periféricas apresentaram a maior diferença no valor médio entre hospitalizações atribuíveis e não-atribuíveis (24%), porém as cardiovasculares destacaram-se em quantidade (27%) e envolveram os maiores gastos (37%). Os homens internaram menos (48%) que as mulheres, porém com gasto total maior (53%). As internações de pacientes entre 45-64 anos constituíram o maior grupo (45%) e gastos (48%) enquanto os pacientes com ≥75, os maiores coeficientes de hospitalização (350/104hab.) e de despesa (US$ 93,4 mil/104hab.). As regiões mais desenvolvidas gastaram o dobro (/104hab.) em relação às demais. Considerações Finais e Recomendações: As configurações no consumo de serviços hospitalares foram semelhantes às de países mais desenvolvidos, com importantes desigualdades regionais e de sexo. O gasto governamental exclusivamente com hospitalizações atribuíveis ao DM foi expressivo (2,2% do orçamento do Ministério da Saúde). A ampliação de atividades preventivas poderia diminuir a incidência do DM, reduzir a necessidade de internações, minimizar as complicações e minorar a severidade de outras condições médicas mais gerais.

Dynamics of micro-entrepeneurial activities

This paper generates and organizes stylized facts related to the dynamics of selfemployment activities in Brazil. The final purpose is to help the design of policies to assist micro-entrepreneurial units. The 'first part of the paper uses as a main tool of analysis transitional data constructed from household surveys. The longitudinal information used covers three transition horizons: 1-month, 12-month and 5-year periods. Quantitative flows analysis assesses the main origins, destinies and various types of risks assumed by microentrepreneurial activities. Complementarily, logistic regressions provides evidence on the main characteristics and resources of micro-entrepreneurial units. In particular, we use the movements from self-employment to employer activities as measures of entrepreneurial success. We also use these transitions as measures of employment creation intensity within the self-employed segment.The second part of the paper explores various data sources. First, we attempt to analyze the life-cycle trajectories and determinants of self-employment. We use cohort data constructed from PME and qualitative data on financial and work history factors related to the opening of small bussiness from the informal firms survey implemented during 1994. Second, we apply a standart Mincerian wage equation approach to self-employment profits. This exerci se attempts to capture the correlation patterns between micro-entrepreneurial performance and a variety of firms leveI variables present in the 1994 Informal Survey. Finally, we use a a survey on the poor enterpreneurs of Rocinha favela as a laboratory to study poor entrepreneurs resources and behavior.In sum, the main questions pursued in the paper are: i) who are the Brazilian selfemployed?; ii) in particular: what is relative importance among the self-employed of subsistence activities versus those activities with growth and capital accumulation potential?; iii) what are the main static and dynamic determinants ofmicro-entrepreneurial success?; iv) what is the degree ofrisk associated with micro-entrepreneurial activities in Brazil?; v) What is the life-cycle profile of self-employment?; vi) what are the main constraints on poor entrepreneurs activities?.

Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens

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