Psychometric analysis of ProQOL-BR in nursing: building hospital safety and protection.

Objectives: to analyze the psychometric properties of the ProQOL-BR instrument in hospital nursing professionals.

Methods: a methodological study to validate the ProQOL-BR. Confirmatory factor analysis, assessment of local and global adjustment quality, Pearson hypothesis testing and Cronbach's alpha internal consistency analysis were used.

Stochastic Volatility Models with Skewness Selection.

This paper expands traditional stochastic volatility models by allowing for time-varying skewness without imposing it. While dynamic asymmetry may capture the likely direction of future asset returns, it comes at the risk of leading to overparameterization. Our proposed approach mitigates this concern by leveraging sparsity-inducing priors to automatically select the skewness parameter as dynamic, static or zero in a data-driven framework.

Consensus on Screening, Diagnosis, and Staging Tools for Prostate Cancer in Developing Countries: A Report From the First Prostate Cancer Consensus Conference for Developing Countries (PCCCDC).

Purpose: To generate and present the survey results on critical issues relevant to screening, diagnosis, and staging tools for prostate cancer (PCa) focused on developing countries.

Methods: A total of 36 of 300 questions concern the main areas of interest of this paper: (1) screening, (2) diagnosis, and (3) staging for various risk levels of PCa in developing countries. A panel of 99 international multidisciplinary cancer experts voted on these questions to create recommendations for screening, diagnosing, and staging tools for PCa in areas of limited resources discussed in this manuscript.

Treatment of Localized and Locally Advanced, High-Risk Prostate Cancer: A Report From the First Prostate Cancer Consensus Conference for Developing Countries.

Purpose: To generate and present survey results on important issues relevant to treatment and follow-up of localized and locally advanced, high-risk prostate cancer (PCa) focusing on developing countries.

Methods: A panel of 99 PCa experts developed more than 300 survey questions of which 67 questions concern the main areas of interest of this article: treatment and follow-up of localized and locally advanced, high-risk PCa in developing countries. A larger panel of 99 international multidisciplinary cancer experts voted on these questions to create the recommendations for treatment and follow-up of localized and locally advanced, high-risk PCa in areas of limited resources discussed in this article.

Biological effects of an oxyphytosterol generated by β-Sitosterol ozonization.

β-Sitosterol (βSito) is the most abundant phytosterol found in vegetable oils, grains such as wheat, beans, and corn, and in many phytosterol-enriched foods. It is prone to oxidation by reactive oxygen species, such as ozone, leading to the formation of oxyphytosterols. A better understanding regarding the biological effects and mechanism of action of oxyphytosterols is required since the beneficial and adverse side effects of these compounds on human health remain highly controversial.

Characterization of oxyphytosterols generated by β-sitosterol ozonization.

β-Sitosterol (βSito) is the most abundant phytosterol found in elevated concentrations in vegetable oils, nuts, seeds, cereals, fruits, and in many phytosterol-enriched foods. Although the benefits, there is a concern in terms of food quality and health due to the increasing consumption of phytosterols and the possible adverse side effects of their oxidation products, oxyphytosterols. βSito has a similar structure to cholesterol, with an unsaturated double bond at C5-C6, which is susceptible to oxidation by reactive oxygen species like ozone, generating oxyphytosterols.

Development and validation of an instrument to assess the knowledge of general practitioners and pediatricians about photoprotection and solar radiation.

Background: The knowledge of general practitioners about photoprotection is unknown.

Objectives: To develop and validate an instrument to evaluate the knowledge of general practitioners and pediatricians about photoprotection, gauging the knowledge of these professionals.

Methods: The study followed the steps: (1) Literature identification and item elaboration related to the theme; (2) Content validation; (3) Apparent validation; (4) Construct validation: internal consistency analysis and discriminatory analysis; (5) Reliability analysis.

Endovascular treatment of acute gastrointestinal bleeding from a large splenic artery pseudoaneurysm: case report and literature review.

Pseudoaneurysm of the splenic artery is a rare entity, with little more than 150 cases described in the literature. Pancreatitis is the most common etiology, followed by trauma. In contrast with true aneurysms, pseudoaneurysms are frequently symptomatic, with a 47% risk of rupture and 90% mortality if left untreated.

Endovascular treatment for the common femoral artery: is there a challenger to open surgery?

Common femoral artery (CFA) atherosclerotic lesions currently remain one of the last limitations for adoption of endovascular repair as the first-line treatment. The bulky, eccentric, heavily calcified character of the CFA plaques, frequent involvement of the femoral bifurcation, easy surgical accessibility and last but not least, favorable long-term outcomes still make CFA disease treatment part of the surgical domain. In the last 5 years, improvement of the endovascular equipment and technical skills of the operators have led to an increase in percutaneous CFA procedures.

Evaluation of carbon nanotubes network toxicity in zebrafish (Danio rerio) model.

This is a detailed in vivo study of the biological response to carbon nanotubes network as probed by the zebrafish model. First, we prepared pristine carbon nanotubes (CNTs) by methanol chemical vapor deposition in the presence of Mn and Co as catalysts, followed by purification in acid, which furnished curved tubes with diameters lying between 10 and 130 nm. The CNT network consisted of pristine CNTs dispersed in water in the presence of a surfactant.

A neural network based intelligent predictive sensor for cloudiness, solar radiation and air temperature.

Accurate measurements of global solar radiation and atmospheric temperature,as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight and portable sensor was developed, using artificial neural network models as the time-series predictor mechanisms. These have been identified with the aid of a procedure based on the multi-objective genetic algorithm.