Invariance of the trait emotional intelligence construct across populations and sociodemographic variables

Cultural, linguistic and sociodemographic peculiarities may influence trait Emotional Intelligence (trait EI). An instrument capable of assessing trait EI in different populations can foster cross-cultural research and make an important contribution to the construct's nomological network. Accordingly, the present study aimed to examine the relationship between trait EI and key sociodemographic variables through univariate analyses of variance and tests of multigroup measurement equivalence. We used datasets Trait Emotional Intelligence Questionnaire (TEIQue-SF) datasets from four countries. Collectively, these datasets comprised 2228 participants, 23% from Brazil, 15% from Chile, 23% from Italy, and 39% from the United Kingdom. The sociodemographic variables that we used for trait EI comparisons were gender, age, educational level, civil and occupational status. Our results indicated significant global trait EI differences across countries for civil status, occupation, educational attainment, and age. Measurement invariance across the datasets was acceptable, especially for age, gender and education. In conclusion, the present psychometric evidence supports the suitability of the TEIQue-SF for the accurate assessment of trait EI in transcultural research

Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models

The performance of a Glaucoma assessment system is highly affected by the number of labelled images used during the training stage. However, labelled images are often scarce or costly to obtain. In this paper, we address the problem of synthesising retinal fundus images by training a Variational Autoencoder and an adversarial model on 2357 retinal images. The innovation of this approach is in synthesising retinal images without using previous vessel segmentation from a separate method, which makes this system completely independent. The obtained models are image synthesizers capable of generating any amount of cropped retinal images from a simple normal distribution. Furthermore, more images were used for training than any other work in the literature. Synthetic images were qualitatively evaluated by 10 clinical experts and their consistency were estimated by measuring the proportion of pixels corresponding to the anatomical structures around the optic disc. Moreover, we calculated the mean-squared error between the average 2D-histogram of synthetic and real images, obtaining a small difference of x-4. Further analysis of the latent space and cup size of the images was performed by measuring the Cup/Disc ratio of synthetic images using a state-of-the-art method. The results obtained from this analysis and the qualitative and quantitative evaluation demonstrate that the synthesised images are anatomically consistent and the system is a promising step towards a model capable of generating labelled images

Retinal Image Synthesis and Semi-supervised Learning for Glaucoma Assessment.

Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labelled database and a large unlabelled database, the goal is to train a powerful classifier. In this paper, we trained a retinal image synthesizer and a semi-supervised learning method for automatic glaucoma assessment using an adversarial model on a small glaucoma-labelled and large unlabelled database. Various studies have shown that glaucoma can be monitored by analyzing the optic disc and its surroundings, for that reason the images used in this work were automatically cropped around the optic disc. The novelty of this work is to propose a new retinal image synthesizer and a semi-supervised learning method for glaucoma assessment based on the Deep Convolutional Generative Adversarial Networks (DCGAN). In addition, and to the best of the authors' knowledge, this system is trained on an unprecedented number of publicly available images (86926 images). This system, hence, is not only able to generate images synthetically but to provide labels automatically. Synthetic images were qualitatively evaluated using t-SNE plots of features associated with the images and their anatomical consistency were estimated by measuring the proportion of pixels corresponding to the anatomical structures around the optic disc. The resulting image synthesizer is able to generate realistic (cropped) retinal images and, subsequently, the glaucoma classi?er is able to classify them into glaucomatous and normal with high accuracy (AUC= 0.9017). The obtained retinal image synthesizer and the glaucoma classi?er could be used then to generate an unlimited number of cropped retinal images with glaucoma labels

Dirac Equation with Spin Symmetry for the Modified P\"oschl-Teller Potential in DD-dimensions

We present solutions of the Dirac equation with spin symmetry for vector and scalar modified P\"oschl-Teller potential within framework of an approximation of the centrifugal term. The relativistic energy spectrum is obtained using the Nikiforov-Uvarov method and the two-component spinor wavefunctions are obtain are in terms of the Jacobi polynomials. It is found that there exist only positive-energy states for bound states under spin symmetry, and the energy levels increase with the dimension and the potential range parameter $\alpha$.Comment: 9 pages and 1tabl

May measurement month 2018: an analysis of blood pressure screening in the Philippines.

Building on the gains of May Measurement Month 2017 (MMM17), the Philippine Society of Hypertension once again took part in MMM18 to raise awareness of high blood pressure (BP) in the country and to harness opportunistic BP screening in detecting unaware hypertensive individuals and referring them for treatment. We followed the standard MMM18 protocol designed by the International Society of Hypertension, utilizing convenience sampling with volunteer investigators, taking three sitting BP measurements of volunteer adults (≥18 years). Basic data on demographic, lifestyle, and environmental factors were also taken. We analysed 177 176 screened individuals from the Philippines. Of these, 29.1% (51 527) had also participated in MMM17, whereas 68.8% (121 893) were new screenees; and 14.2% (25 232) had their BP taken for the first time ever. After multiple imputation, 39.0% (69 126) were hypertensive. Of these, 50.3% (34 795) were aware they were hypertensive. 49.9% (34 491) were on antihypertensive medication, 58.0% (20 010) of whom had controlled BP <140/90 mmHg. Only 28.9% of all participants with hypertension had controlled BP. Systolic BPs and diastolic BPs were significantly higher in the overweight and obese, in those receiving antihypertensive medications, in patients with diabetes, and significantly lower in pregnant women. MMM18 has again shown that opportunistic BP screening, harnessing volunteers, is a pragmatic public health measure to improve awareness and treatment rates of raised BP

Molecular basis for DNA repair synthesis on short gaps by mycobacterial Primase-Polymerase C

Cells utilise specialized polymerases from the Primase-Polymerase (Prim-Pol) superfamily to maintain genome stability. Prim-Pol’s function in genome maintenance pathways including replication, repair and damage tolerance. Mycobacteria contain multiple Prim-Pols required for lesion repair, including Prim-PolC that performs short gap repair synthesis during excision repair. To understand the molecular basis of Prim-PolC’s gap recognition and synthesis activities, we elucidated crystal structures of pre- and post-catalytic complexes bound to gapped DNA substrates. These intermediates explain its binding preference for short gaps and reveal a distinctive modus operandi called Synthesis-dependent Template Displacement (STD). This mechanism enables Prim-PolC to couple primer extension with template base dislocation, ensuring that the unpaired templating bases in the gap are ushered into the active site in an ordered manner. Insights provided by these structures establishes the molecular basis of Prim-PolC’s gap recognition and extension activities, while also illuminating the mechanisms of primer extension utilised by closely related Prim-Pols

Pulmonary cystic disease in HIV positive individuals in the Democratic Republic of Congo: three case reports

Pulmonary emphysema and bronchiectasis in HIV seropositive patients has been described in the presence of injection drug use, malnutrition, repeated opportunistic infections, such as Pneumocytis jirovici pneumonia and Mycobacterium tuberculosis infection, and has been linked to the presence of HIV virus in lung tissue. Given the high burden of pulmonary infections and malnutrition among people living with HIV in resource poor settings, these individuals may be at increased risk of developing pulmonary emphysema, potentially reducing the long term benefit of antiretroviral therapy (ART) if initiated late in the course of HIV infection

Identification of Nontuberculous Mycobacteria in Drinking Water in Cali, Colombia

Nontuberculous mycobacteria (NTM) are ubiquitous microorganisms naturally resistant to antibiotics and disinfectants that can colonize drinking water supply systems. Information regarding the spread of NTM in specifically South America and Colombia is limited. We aimed to identify and characterize NTM present in tap water samples from Cali, Colombia. Drinking water samples and faucet biofilm swabs were collected in 18 places, including the city’s three main water treatment plants (WTPs). Filter-trapped material and eluates (0.45 μm) from swab washes were plated in 7H11 agar plates. Suspected colonies were evaluated microscopically, and NTM species were identified based on the rpoB gene. Antibiotic susceptibility testing was also performed. Fifty percent (9/18) of sampling points were positive for NTM (including two WTPs), from which 16 different isolates were identified: Mycobacterium mucogenicum (8/16), M. phocaicum (3/16), M. chelonae (2/16), M. mageritense (2/16), and M. fortuitum (1/16), all rapidly growing mycobacteria. A susceptibility profile was obtained from 68.75% (11/16) of the isolates. M. chelonae was the most resistant species. All NTM isolated are potentially responsible for human diseases; our findings might provide a baseline for exploring NTM transmission dynamics and clinical characterization, as well as potential associations between NTM species found in drinking water and isolates from patients

Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer's disease and aortic dissection = Processus à haut degré d’intégration pour l’étude de troubles cardiovasculaires : exemples de médecine de précision appliquée à la maladie d’Alzheimer et à la dissection aortique

For precision medicine to be implemented through the lens of in silico technology, it is imperative that biophysical research workflows offer insight into treatments that are specific to a particular illness and to a particular subject. The boundaries of precision medicine can be extended using multiscale, biophysics-centred workflows that consider the fundamental underpinnings of the constituents of cells and tissues and their dynamic environments. Utilising numerical techniques that can capture the broad spectrum of biological flows within complex, deformable and permeable organs and tissues is of paramount importance when considering the core prerequisites of any state-of-the-art precision medicine pipeline. In this work, a succinct breakdown of two precision medicine pipelines developed within two Virtual Physiological Human (VPH) projects are given. The first workflow is targeted on the trajectory of Alzheimer's Disease, and caters for novel hypothesis testing through a multicompartmental poroelastic model which is integrated with a high throughput imaging workflow and subject-specific blood flow variability model. The second workflow gives rise to the patient specific exploration of Aortic Dissections via a multi-scale and compliant model, harnessing imaging, computational fluid-dynamics (CFD) and dynamic boundary conditions. Results relating to the first workflow include some core outputs of the multiporoelastic modelling framework, and the representation of peri-arterial swelling and peri-venous drainage solution fields. The latter solution fields were statistically analysed for a cohort of thirty-five subjects (stratified with respect to disease status, gender and activity level). The second workflow allowed for a better understanding of complex aortic dissection cases utilising both a rigid-wall model informed by minimal and clinically common datasets as well as a moving-wall model informed by rich datasets. / Pour que la médecine actuelle puisse profiter de la technologie in silico, il est impératif que les flux de recherche biophysique offrent un aperçu précis des traitements spécifiques à une maladie particulière et à un sujet particulier. Les limites de la médecine peuvent être repoussées à l’aide de flux de travail multi-échelles, centrés sur la biophysique, qui tiennent compte des constituants fondamentaux des cellules et des tissus, et de leurs environnements dynamiques. L’utilisation de techniques numériques permettant de capter le large spectre des flux biologiques au sein d’organes et de tissus complexes, déformables et perméables est d’une importance capitale lorsqu’il s’agit d’examiner les conditions essentielles de tout pipeline médical de précision de pointe. Dans ce travail, une analyse succinte de deux pipelines de médecine de précision développés dans le cadre de deux projets VPH (Virtual Physiological Human) est donnée. Le premier flux de travail se concentre sur la trajectoire de la maladie d’Alzheimer et permet de tester de nouvelles hypothèses au moyen d’un modèle poroélastique à plusieurs compartiments qui est intégré à un flux de travail d’imagerie à haut débit et à un modèle de variabilité du débit sanguin spécifique au sujet. Le deuxième flux de travail donne lieu à l’exploration spécifique des dissections aortiques chez le patient par le biais d’un modèle multi-échelle conforme, exploitant l’imagerie, la dynamique des fluides computationnelle (CFD) et les conditions limites dynamiques. Les résultats relatifs au premier flux de travail comprennent certains des principaux extrants du cadre de modélisation multiporoélastique et la représentation des zones de gonflement péri-artériel et de solution de drainage périveineux. Ces dernières zones de solutions ont été analysées statistiquement sur une cohorte de trente-cinq sujets (stratifiés en fonction de l’état pathologique, du sexe et du niveau d’activité). Le deuxième flux de travail a permis de mieux comprendre les cas complexes de dissection aortique à l’aide d’un modèle à parois rigides fondé sur des ensembles de données minimales et cliniquement communes et d’un modèle à parois mobiles reposant sur de riches données