Cannonsharp2292

. A toxic culture that affects impartiality and independence, as well as the need to invest in bureaucratic systems may make in impractical for some institutions to undertake CQI.

Accreditation is a key feature of many medical education systems, helping to ensure that programs teach and assess learners according to applicable standards, provide optimal learning environments, and produce professionals who are competent to practise in challenging and evolving health care systems. Although most medical education accreditation systems apply similar standards domains and process elements, there can be substantial variation among accreditation systems at the level of design and implementation. A discussion group at the 2013 World Summit on Outcomes-Based Accreditation examined best practices in health professional education accreditation systems and identified that the literature examining the effectiveness of different approaches to accreditation is scant. Although some frameworks for accreditation design do exist, they are often specific to one phase of the medical education continuum.

This paper attempts to define a framework for the operational design of medical education accreditatis is appropriate provided that is it tailored to the needs of local contexts. Our framework is intended to provide guidance to administrators, policy-makers, and educators regarding different approaches to medical education accreditation and their applicability and appropriateness in local contexts.

A dominant methodology in contemporary clinical neuroscience is the use of dimensional self-report questionnaires to measure features such as psychological traits (e.g., trait anxiety) and states (e.g., depressed mood). These dimensions are then mapped to biological measures and computational parameters. Researchers pursuing this approach tend to equate a symptom inventory score (plus noise) with some latent psychological trait.

We argue this approach implies weak, tacit, models of traits that provide fixed predictions of individual symptoms, and thus cannot account for symptom trajectories within individuals. This problem persists because (1) researchers are not familiarized with formal models that relate internal traits to within-subject symptom variation and (2) rely on an assumption that trait self-report inventories accurately indicate latent traits. To address these concerns, we offer a computational model of trait depression that demonstrates how parameters instantiating a given trait remain stable while manifest symptom expression varies predictably. We simulate patterns of mood variation from both the computational model and the standard self-report model and describe how to quantify the relative validity of each model using a Bayesian procedure.

Ultimately, we would urge a tempering of a reliance on self-report inventories and recommend a shift towards developing mechanistic trait models that can explain within-subject symptom dynamics.

Ultimately, we would urge a tempering of a reliance on self-report inventories and recommend a shift towards developing mechanistic trait models that can explain within-subject symptom dynamics.

Hypertension is a multifactorial disease where numerous constitutive, genetic and environmental factors interplay. Among the constitutive factors, age is a major determent continuously reported to be associated with a significant increase in the prevalence of hypertension. In addition to age, Helicobacter pylori (H. pylori) infection was also shown to be associated. On the other hand, Vitamin D (Vit D) plays an important role against the development of hypertension. In the current study, we investigated whether H. pylori interacts with Vit D levels to influence hypertension.

This cross-sectional study was conducted on seven hundred eighty-two "a priori" healthy individuals equally divided according to hypertension status. To study the association between Vit D, H. pylori and hypertension, a multivariate logistic regression model was used while correcting for different confounding factors. Power analysis was also performed.

Approximately half of the participants were hypertensive and had Vit D insufficiecy.

H. pylori infection and Vit D deficiency could predict hypertension. The odds of hypertension development were double when the participants were negative for H. selleck chemicals pylori infection and had vitamin D deficiency.

Over the last several years there has been a growing interest in the use of radiopharmaceuticals labeled with metallic radionuclides, especially isotopes of copper (Cu). Cu has a unique set of radionuclides with potential application not only for diagnostic imaging but also for applications in targeted radionuclide therapy.

To review the methods and routes used for the production of Cu radionuclides in compact medical cyclotrons (Ep<20 MeV) using solid targets.

The cyclotron production of Cu radionuclides using solid targets has proven to be very efficient. The large number of compact medical cyclotrons distributed worldwide, and the high target yields in the production of Cu radionuclides achieved at these energies, form a potential network of distribution to satisfy the growing demand for these radionuclides, especially 64Cu.

The cyclotron production of Cu radionuclides using solid targets has proven to be very efficient. The large number of compact medical cyclotrons distributed worldwide, and the high target yields in the production of Cu radionuclides achieved at these energies, form a potential network of distribution to satisfy the growing demand for these radionuclides, especially 64Cu.The treatment of ccRCC by targeting hypoxia-inducible factor HIF-2α is currently a direct and effective method. Studies have shown that HIF-2α and c-Myc cooperate to promote ccRCC tumor progression, and the overexpression of c-Myc is related to the progress and drug resistance of most human cancers. Although HIF-2α and c-Myc are important drug targets, their dual inhibitors are still lacking. We used virtual screening tools (mainly including molecular docking and MM-GBSA technology) to obtain some well-listed compounds that can potentially target HIF-2α and c-Myc and used molecular dynamics simulations to study their binding with these protein systems. Using a structure-based screening scheme, a batch of top-ranking compounds were selected, and their binding affinities were predicted of these compounds were performed. Representative compound C93106, C43257, and C41580 all showed good comprehensive binding score. Our results indicate that the target compounds can all form key interactions with the active site of the protein, and 30 ns molecular dynamic simulation of the complex system indicates a stable binding conformation.