Circadian rhythm of hot flashes and activity levels among prostate cancer patients on androgen deprivation therapy

Abstract

Background: Modifiable risk factors contribute to the pathogenesis of cardiovascular disease (CVD) and erectile dysfunction (ED). We aimed to compare the knowledge about the contribution of modifiable risk factors to the pathogenesis of CVD and ED. The impact of patients’ having modifiable risk factors on the awareness of their negative influence on the development of CVD and ED was examined.

Methods: To this multicenter cohort study, we included 417 patients with CHD who had been hospitalized in the cardiology or cardiac surgery department during the previous six weeks and underwent cardiac rehabilitation in one of the five centers. Knowledge about modifiable risk factors was collected. ED was assessed by an abridged IIEF-5 questionnaire. Comparisons between groups were conducted using the Student’s t-test, Mann–Whitney U test, and Kruskal–Wallis test. Relationships were analyzed with Spearman's rank correlation coefficient.

Results: The mean number of correctly identified risk factors for CVD was significantly higher than those for ED (3.71?±?1.87 vs. 2.00?±?1.94; p?<?.0001). Smoking was the most recognized risk factor both for CVD and ED. Dyslipidemia was least frequently identified as a risk factor for CVD. Sedentary lifestyle was the only risk factor whose incidence did not affect the level of patient knowledge.

Conclusions: Cardiac patients with ED know more about risk factors for CVD than ED. It is necessary to include information about the negative impact of modifiable risk factors on sexual health into education programs promoting healthy lifestyles in men with cardiovascular diseases.     

Traces of “I”: Concepts of Subjectivity in Polish Literature of the Last Century

This study investigates the police reports on the peasants during the early years of the New Economic Policy as the new Soviet state attempted to establish a working relationship with rural Russia through a variety of organizations, chief among these the police. As the government sought to determine the meaning of the NEP, the police in rural Russia attempted to provide the central authorities with accurate information on economic, social, and political conditions in the countryside and to establish a positive relationship with the peasantry. In the process, the police came to understand the peasantry well and demonstrated a complex appreciation of the realities of rural Russia rather than a simple proto-Stalinist worldview. Utilizing the data from the police, the Bolshevik regime in the period to Lenin’s death also demonstrated some willingness to accept a deal with the peasantry and moderate its approach—a flexibility reflected in its change from confiscation to razverstka, and again from razverstka to a single tax, and then even to modify the tax levy to reflect peasant constructs of what was “right” to pay. This flexibility emerged in large measure because the police were returning to an earlier view of the peasants as rational beings, rather than incorrigible irrational enemies.     

Prediction in trend-renewal processes for repairable systems

Some problems of point and interval prediction in a trend-renewal process (TRP) are considered. TRP’s, whose realizations depend on a renewal distribution as well as on a trend function, comprise the non-homogeneous Poisson and renewal processes and serve as useful reliability models for repairable systems. For these processes, some possible ideas and methods for constructing the predicted next failure time and the prediction interval for the next failure time are presented. A method of constructing the predictors is also presented in the case when the renewal distribution of a TRP is unknown (and consequently, the likelihood function of this process is unknown). Using the prediction methods proposed, simulations are conducted to compare the predicted times and prediction intervals for a TRP with completely unknown renewal distribution with the corresponding results for the TRP with a Weibull renewal distribution and power law type trend function. The prediction methods are also applied to some real data.     

Bias of the lse estimator of the first order autoregressive model under tukey contamination

Results of an exhaustive study of the bias of the least square estimator (LSE) of an first order autoregression coefficient α in a contaminated Gaussian model are presented. The model describes the following situation. The process is defined as X_t = α X_t-1 + Y_t . Until a specified time T, Y_t are iid normal N(0, 1). At the moment T we start our observations and since then the distribution of Y_t, t≥T, is a Tukey mixture T(εσ) = (1 – ε)N(0,1) + εN(0, σ²). Bias of LSE as a function of α and ε, and σ² is considered. A rather unexpected fact is revealed: given α and ε, the bias does not change montonically with σ (“the magnitude of the contaminant”), and similarly, given α and σ, the bias is not growing with ε (“the amount of contaminants”).     

Small-Sample Quantile Estimators in a Large Nonparametric Model

The large nonparametric model in this note is a statistical model with the family ? of all continuous and strictly increasing distribution functions. In the abundant literature of the subject, there are many proposals for nonparametric estimators that are applicable in the model. Typically the kth order statistic X _k:n is taken as a simplest estimator, with k = [nq], or k = [(n + 1)q], or k = [nq] + 1, etc. Often a linear combination of two consecutive order statistics is considered. In more sophisticated constructions, different L-statistics (e.g., Harrel–Davis, Kaigh–Lachenbruch, Bernstein, kernel estimators) are proposed. Asymptotically the estimators do not differ substantially, but if the sample size n is fixed, which is the case of our concern, differences may be serious. A unified treatment of quantile estimators in the large, nonparametric statistical model is developed.     

Public relations role in a global competition “to sell” alternative political and socio-economic models of market economy

This article extends the transitional public relations approach to international public relations research. The arguments are presented that public relations strategies and instruments were and are further on used in that competition to promote, and sometimes impose certain political and socio-economic models of market economy. The main global players, first of the United States, but most recently also China are trying to “sell” their own model not only in the former socialist/communist but also in developing countries. On the other hand, the campaign to promote European social model has just been initiated by the European Parliament.     

Optimal Nonparametric Quantile Estimators. Towards a General Theory. A Survey

“Nonparametric” in the title is used to say that observations X ₁,…,X _n come from an unknown distribution F ∈ ? with ? being the class of all continuous and strictly increasing distribution functions. The problem is to estimate the quantile of a given order q ∈ (0,1) of the distribution F. The class ? of distributions is very large; it is so large that even X _nq:n , where nq is an integer, may be very poor estimator of the qth quantile. To assess the performance of estimators no properties based on moments may be used: expected values of estimators should be replaced by their medians, their variances—by some characteristics of concentration of distributions around the median. If an estimator is median-biased for one of distributions, the bias of the estimator may be infinitely large for other distributions. In the note optimal estimators with respect to various criteria of optimality are presented. The pivotal function F(T) of the estimator T is introduced which enables us to apply the classical statistical approach.     

One-Sample One-Sided Student T-Test Under Contaminants

A paradoxical behavior of the t-test under ε-contamination is presented. The paradox consists in that under a fixed distribution of contaminants an increasing of the probability of the appearance of a contaminant may decrease the violation of the size of the test! A simple explanation of the phenomenon is given. It is revealed which contaminants make the test conservative and which make it liberal: it appears that, in spite of the established opinion, conservatism or liberalism of the test depends not so much on the tails of the contaminating distribution as on where its support is located.     

Economics and public relations in a time of downturn: Dismal science,unseen history,and the need for dialogue

The major originating event of this special section was the ongoing crisis that continues to cast a shadow of financial depression across the globe and has led to calls for a radical rethink of economics. In this introduction we attempt to contextualize the special section's theme and articles with a view to sparking a deeper and longer dialogue – one that emphasizes the potential for positive disciplinary exchanges – between economics and public relations. As fields, they have been respectively characterized as the dismal science and the unseen history. In order to avoid such offspring as a dismal history of economics and an unseen science of public relations, we argue that the two need both to learn from, and to appreciate, each other. In the meantime, there is another crisis stalking public relations, and it is the possibility that the recent poor history of economics might be the imminent future of public relations.