Hastingsboyd3093

Criteria for the identification of suitable applicants for undergraduate and postgraduate medical education are greatly and ubiquitously discussed. Apart from the acquisition of theoretical knowledge and practical skills, certain personality traits are necessary for practicing the medical profession; however, little is known on the personality traits required for medical subspecialties. This study had two objectives 1)identification and evaluation of personality traits which are essential for performing anesthesiology and 2)establishment of ajob specification for anesthesiology.

We performed asurvey among German anesthesiologists using an online questionnaire. This questionnaire collected demographic data, such as age, gender, level of postgraduate education and 28personality traits from 5categories cognition, psychomotor, physical, sensory and social interactive properties. The participants were asked to rate the personality traits on a5-point Likert scale. Statistical analysis was performed using an ANOVA.

A total of 714 questionnaires were analyzed. selleck compound Social interactive skills and cognitive personality traits were considered as most important for aclinical career in anesthesiology. The three personality traits rated highest were ahigh decision-making ability, stress tolerance and speed of perception. Furthermore, ahigh apprehension, affability and patient-oriented behavior are needed.

Ajob specification describing important personality traits can be useful to advise both undergraduates and postgraduates on their medical career and for medical team simulation tasks. For the clinical practice in anesthesiology, for example, high social interactive and cognitive personality traits are required.

A job specification describing important personality traits can be useful to advise both undergraduates and postgraduates on their medical career and for medical team simulation tasks. For the clinical practice in anesthesiology, for example, high social interactive and cognitive personality traits are required.Near-infrared spectroscopy (NIRS) has been available in research and clinical practice for more than four decades. Recently, there have been numerous publications and substantial developments in the field. This article describes the clinical application of NIRS in relation to current guidelines, with a focus on pediatric and cardiac anesthesia. It discusses technical and physiological principles, pitfalls in clinical use and presents (patho)physiological influencing factors and derived variables, such as fractional oxygen extraction (FOE) and the cerebral oxygen index (COx). Recommendations for the interpretation of NIRS values in connection with influencing factors, such as oxygen transport capacity, gas exchange and circulation as well as an algorithm for cardiac anesthesia are presented. Limitations of the method and the lack of comparability of values from different devices as well as generally accepted standard values are explained. Technical differences and advantages compared to pulse oxymetry and transcranial Doppler sonography are illuminated. Finally, the prognostic significance and requirements for future clinical studies are discussed.Methods to evaluate the positional reproducibility of breath-hold irradiation mostly require manual operation. The purpose of this study is to propose a method to determine the reproducibility of breath-hold irradiation of lung tumors between fractions using non-artificial methods. This study included 13 patients who underwent terminal exhaled breath-hold irradiation for primary and metastatic lung cancer. All subjects received a prescribed dose of 60 Gy/8 fractions. The contours of the gross tumor volume (GTV) were extracted by threshold processing using treatment-planning computed tomography (CT) and cone-beam CT (CBCT), which was done just before the beginning of the treatment. The method proposed in this study evaluates the dice similarity coefficient (DSC) and Hausdorff distance (HD) by comparing two volumes, the GTVCTS (GTV obtained from treatment-planning CT) and GTVCBCT (GTV obtained from CBCT). The reference contours for DSC and HD are represented by GTVCTS. The results demonstrated good visual agreement for cases with a DSC of ~0.7. However, apparent misalignment occurred when the DSC was 2 mm in 3 out of 13 cases, and when the DSC was ~0.7, the HD was ~1 mm. In addition, cases with greater HD also demonstrated more significant variability. It was found that the DSC and HD evaluation methods for the positional reproducibility of breath-hold irradiation proposed in this study are straightforward and can be performed without the involvement of humans. Our study is of extreme significance in the field of radiation studies.A computational mutagenesis technique was used to characterize the structural effects associated with over 46 000 single and multiple amino acid variants of Aequorea victoria green fluorescent protein (GFP), whose functional effects (fluorescence levels) were recently measured by experimental researchers. For each GFP mutant, the approach generated a single score reflecting the overall change in sequence-structure compatibility relative to native GFP, as well as a vector of environmental perturbation (EP) scores characterizing the impact at all GFP residue positions. A significant GFP structure-function relationship (P less then 0.0001) was elucidated by comparing the sequence-structure compatibility scores with the functional data. Next, the computed vectors for GFP mutants were used to train predictive models of fluorescence by implementing random forest (RF) classification and tree regression machine learning algorithms. Classification performance reached 0.93 for sensitivity, 0.91 for precision and 0.90 for balanced accuracy, and regression models led to Pearson's correlation as high as r = 0.83 between experimental and predicted GFP mutant fluorescence. An RF model trained on a subset of over 1000 experimental single residue GFP mutants with measured fluorescence was used for predicting the 3300 remaining unstudied single residue mutants, with results complementing known GFP biochemical and biophysical properties. In addition, models trained on the subset of experimental GFP mutants harboring multiple residue replacements successfully predicted fluorescence of the single residue GFP mutants. The models developed for this study were accurate and efficient, and their predictions outperformed those of several related state-of-the-art methods.