Increased prevalence of premature ejaculation in men with metabolic syndrome

This prospective study aimed to investigate the relationship between metabolic syndrome (Met S) and premature ejaculation (PE) among men. The study included 300 consecutive male patients (53.6 y?±?8.7) who attended the urology clinic (December 2013–September 2014), mostly complaining of renal/ureteric calculi. A diagnostic approach was undertaken to include demographics, clinical features and laboratory investigations of the study subjects. Both erectile function and PE were evaluated using the International Index of Erectile Function (abridged form, IIEF-5) and Premature Ejaculation Diagnostic Tool (PEDT) questionnaires, respectively. Results identified 182 (60.7%) men had Met S. Prevalence of PE was significantly higher in the subjects with Met S than the controls (35.2% vs 7.6%, p?< 0.001). Patients with Met S and PE had significantly higher PEDT scores (15.4 vs 6.7), smaller waist circumference (108.3?cm vs 111.5?cm) and higher fasting blood sugar (187?mg% vs 161?mg%) than those with no PE (p?p?=?0.047 and <0.001, respectively) with PE in Met S. In conclusion, PE has a high prevalence in Met S. Patients with Met S should be questioned about PE. Both ED and systolic hypertension may be associated with PE. Prevention of Met S should be considered, and this may be of help to decrease the prevalence of PE.     

Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis

Using micro data from the 2010 National Survey on Households’ Budget, Consumption and Standard of Living, this study aims to investigate main factors contributing to poverty distribution, one of the most severe socioeconomic problems in Tunisia. To this end, we use a multilevel Logit model and a multilevel mixed linear model to simultaneously analyze the micro-level (household) and macro-level (governorate) factors that might affect the household poverty status. Household size, household composition, occupation, education levels, the gender of the household head and the number of earner by household variables were assessed at the micro-level. Unemployment rate, poverty rate, industrial and agriculture parts and the migration are included to control the effect of contextual effects. Our findings showed that the likelihood of household being poor is positively and significantly related to household size, more children and lower education level. Extreme poverty is more likely to occur in rural than urban areas. Macro-level analyses indicated that greater neighbourhood unemployment rate was associated with higher odds of poverty, while greater industrial agglomeration and migration balance were associated with reduced odds of poverty.     

On Ehrhart polynomials and probability calculations in voting theory

In voting theory, analyzing the frequency of an event (e.g. a voting paradox), under some specific but widely used assumptions, is equivalent to computing the exact number of integer solutions in a system of linear constraints. Recently, some algorithms for computing this number have been proposed in social choice literature by Huang and Chua (Soc Choice Welfare 17:143–155 2000) and by Gehrlein (Soc Choice Welfare 19:503–512 2002; Rev Econ Des 9:317–336 2006). The purpose of this paper is threefold. Firstly, we want to do justice to Eugène Ehrhart, who, more than forty years ago, discovered the theoretical foundations of the above mentioned algorithms. Secondly, we present some efficient algorithms that have been recently developed by computer scientists, independently from voting theorists. Thirdly, we illustrate the use of these algorithms by providing some original results in voting theory. Helpful comments by Philippe Clauss and his team are gratefully acknowledged.     

Multidimensional Analysis of Water Poverty in MENA Region: An Empirical Comparison with Physical Indicators

It is not easy to determine whether water is really scarce in the physical sense or whether it is available, but people cannot get access to it, or use it better. This paper reviews selected physical water scarcity indicators, and criticisms made against them on several grounds. Under the premise that the water scarcity issue is inherently multidimensional, a composite Water Poverty Index has been developed, to complement the traditional physical water indicators. In this paper we propose some technical refinements based on principal component analysis, in order to improve the method of calculation of the index. Using the proposed methodology, the present paper assesses the applicability of the index for the MENA region, by comparing the situation of oil-rich and water-poor countries (Gulf States) with that of lower-income yet water-rich countries (Horn of Africa states).     

Cinematic Terrorism: Deleuze,ISIS and Delirium

This paper will use the concept of time-image discussed by Gille Deleuze in Cinema 1 and Cinema 2 as a heuristic tool for thinking about the Internet films of the Islamic State (ISIS). By considering that ISIS films primarily operate on two different axes: a time-image that presents a recollection of a mythic past, and a movement-image that reverses roles of power and sovereignty with a Western antagonist through mimesis, I discover that although we are unable to consider the ISIS films strictly as documentary, they are nonetheless not representational either. Within this context, I will argue that ISIS films may be experienced as actualizations of a global schizophrenic delirium. The ISIS films demonstrate what Deleuze describes as the “powers of the false.” They show a reality that is unbearable to witness. In the same way that the Marquis de Sade exhibited in life and fiction a physical violence and perversion that were symptomatic of the chaotic and brutal realities of the French Revolution, ISIS itself, and not only its film productions, becomes the foci of a symptomatic and cinematic realization of the failures of our globalized society in the post-Cold War/Arab Spring era. We experience the unbearable violence in the form of schizophrenic delirium, as if this violence is being performed somewhere else, by someone else, to someone else. These forms of spatial and temporal shifts, detachments, and interchanges are emphasized by the arrival of war refugees to the Western world from Syria, Iraq, and Afghanistan. In this process of becoming the Other, there is no escaping the delirium of Otherness.     

The Cultural Specificity of Management Constructs: An Empirical Examination

The management literature reports on numerous studies examining relationships among the variables of job satisfaction and organizational commitment, and more recently organizational character, organizational citizenship behavior, and propensity for participative decision making. The present study empirically examines relationships among these constructs among Egyptian managers. Although general support was demonstrated for the previously validated scales, the evidence suggests that these constructs are culturally specific and must be redefined, especially in emerging countries. Further, findings support some, but not all of the conclusions typically reached in existing studies of Western managers. This revised version was published online in August 2006 with corrections to the Cover Date.     

Shrinkage estimation in lognormal regression model for censored data

We introduce in this paper, the shrinkage estimation method in the lognormal regression model for censored data involving many predictors, some of which may not have any influence on the response of interest. We develop the asymptotic properties of the shrinkage estimators (SEs) using the notion of asymptotic distributional biases and risks. We show that if the shrinkage dimension exceeds two, the asymptotic risk of the SEs is strictly less than the corresponding classical estimators. Furthermore, we study the penalty (LASSO and adaptive LASSO) estimation methods and compare their relative performance with the SEs. A simulation study for various combinations of the inactive predictors and censoring percentages shows that the SEs perform better than the penalty estimators in certain parts of the parameter space, especially when there are many inactive predictors in the model. It also shows that the shrinkage and penalty estimators outperform the classical estimators. A real-life data example using Worcester heart attack study is used to illustrate the performance of the suggested estimators.     

Deciphering the Relationship Between Internal Migration and Regional Disparities in Tunisia

This study analyses the key factors that shape inter-governorates migration in Tunisia, focusing mainly on the role of demographic, geographical and socio-economic factors in driving migration flows. It uses basic and extended gravity models, as well as Poisson pseudo-maximum-likelihood model for modeling migration data to assess the relative importance of distance, job market characteristics and economic variables. The main findings reveal that inter-governorate migrations in Tunisia are affected by high population size at the origin and destination locations, high unemployment rate at the origin and low unemployment rate at the destination. The results suggest also that migration flows are negatively affected by high job vacancies and the annual average per capita household expenditure at the origin.     

Probabilities of electoral outcomes: from three-candidate to four-candidate elections

The main purpose of this paper is to compute the theoretical likelihood of some electoral outcomes under the impartial anonymous culture in four-candidate elections by using the last versions of software like LattE or Normaliz. By comparison with the three-candidate case, our results allow to analyze the impact of the number of candidates on the occurrence of these voting outcomes.

     

Equation-solving estimator based on the general n-step MHDR algorithm

Markov chain Monte Carlo (MCMC) methods provide an important means to simulate from almost any probability density. To approximate non-standard discrete distributions, the equation-solving MCMC estimator was developed as an alternative to the classical frequency estimator. The used simulation scheme is the Metropolis–Hastings (M–H) algorithm. Recently, this estimator has been extended to the specific context of 2-step Metropolis-Hastings with delayed rejection (MHDR) algorithm, which allowed a considerable reduction in asymptotic variance. In this paper, we propose an adaptation of equation-solving estimator to the case of general n-step MHDR sampler. The aim is to further improve the precision. An application to a Bayesian hypothesis test problem shows the high performance, in terms of accuracy, of the equation-solving estimator, based on a MHDR algorithm with more than two stages.