Awareness and prevalence of metabolic syndrome among high-risk individuals attending internal medicine clinics across Jordan

Purpose: To examine the prevalence and awareness of metabolic syndrome (MetS) in high-risk individuals attending 30 internal medicine clinics in Amman, Jordan, and also to evaluate the various factors associated with increased risk of MetS among them. Methods: This retrospective cross-sectional study was carried out across Amman, Jordan from October to December 2014. During the study period, 900 high-risk individuals (with hypertension, diabetes, central obesity and/or dyslipidemia) were recruited from thirty internal medicine clinics in Amman, Jordan. Data collection forms were filled based on patient interview and medical case file. Results: The prevalence of MetS among high-risk individuals was around 40 % (361/900), with around 79 % (284/361) of MetS patients unaware of their condition. Older age, lower income and family history of premature cardiovascular diseases were associated with a higher prevalence of MetS. Conclusion: Although MetS was found to be highly prevalent among high-risk individuals in this study, the awareness of the condition in this group is very poor. These findings support the need for educational programs that involve both health care providers and patients. These programs should especially target those at risk of MetS, in order to improve awareness of the concept of MetS.

Parental views of antibiotic use in children with upper respiratory tract infections in Jordan

Purpose: To assess the knowledge, attitudes and practices of parents towards antibiotics use for upper respiratory tract infections (URTIs) in Jordan. Methods: A cross-sectional study was carried out at 10 private outpatients’ pediatric clinics across Amman-Jordan from September to December 2013. During the study period, 1329 parents of young children who fulfilled the inclusion criteria and agreed to participate were interviewed, and completed a validated structured questionnaire. Results: A large proportion of parents (903, 68 %) believed that weather change was the main cause of acute URTIs in their children. Although 1098 (82.8 %) of parents were aware that the recurrent use of antibiotics leads to a decrease in effectiveness due to bacterial resistance, 859 (64.6 %) of the respondents reported that they would give antibiotics without prescription. Fathers (135, 40.2 %), were significantly more aware that URTIs follow its natural course without antibiotic administration compared to mothers (N = 327, 32.9 %), respectively (p = 0.005). Conclusion: There is a lack of adequate parental knowledge concerning the use and misuse of antibiotics in children in Jordan. National publicity campaign should be mounted to improve awareness. Furthermore, existing laws should be enforced to prevent parents from purchasing antibiotics over-thecounter (OTC).

O reordenamento político e cultural do povo kokama : a reconquista da língua e do território além das fronteiras entre o Brasil e o Peru

Tese (doutorado)—Universidade de Brasília, Instituto de Letras, Departamento de Linguística, Português e Línguas Clássicas, Programa de Pós-Graduação em Linguística, 2016.

Interventions for reducing extinction risk in chytridiomycosis-threatened amphibians

Wildlife diseases pose an increasing threat to biodiversity and are a major management challenge. A striking example of this threat is the emergence of chytridiomycosis. Despite diagnosis of chytridiomycosis as an important driver of global amphibian declines 15 years ago, researchers have yet to devise effective large-scale management responses other than biosecurity measures to mitigate disease spread and the establishment of disease-free captive assurance colonies prior to or during disease outbreaks. We examined the development of management actions that can be implemented after an epidemic in surviving populations. We developed a conceptual framework with clear interventions to guide experimental management and applied research so that further extinctions of amphibian species threatened by chytridiomycosis might be prevented. Within our framework, there are 2 management approaches: reducing Batrachochytrium dendrobatidis (the fungus that causes chytridiomycosis) in the environment or on amphibians and increasing the capacity of populations to persist despite increased mortality from disease. The latter approach emphasizes that mitigation does not necessarily need to focus on reducing disease-associated mortality. We propose promising management actions that can be implemented and tested based on current knowledge and that include habitat manipulation, antifungal treatments, animal translocation, bioaugmentation, head starting, and selection for resistance. Case studies where these strategies are being implemented will demonstrate their potential to save critically endangered species.

Enhancement of ‘dry’ proton conductivity by self-assembled nanochannels in all-solid polyelectrolytes

Proton transport has been recognized as an essential process in many biological systems, as well as electrochemical devices including fuel cells and redox flow batteries. In the present study, we address the pressing need for solvent-free proton conducting polymer electrolytes for high-temperature PEM fuel cell applications by developing a novel all-solid polyelectrolyte membrane with a self-assembled proton-channel structure. We show that this self-assembled nanostructure endows the material with exciting ‘dry’ proton conductivity at elevated temperatures, as high as 0.3 mS cm−1 at 120 °C, making it an attractive candidate for high-temperature PEM fuel cell applications. Based on the combined investigation of solid-state NMR, FTIR and conductivity measurements, we propose that both molecular design and nano-scale structures are essential for obtaining highly conductive anhydrous proton conductors.

Theoretical study of quantum capacitance and associated delay in armchair-edge graphene nanoribbons

This work presents a comprehensive investigation of the quantum capacitance and the associated effects on the carrier transit delay in armchair-edge graphene nanoribbons (A-GNRs) based on semi-analytical method. We emphasize on the realistic analysis of bandgap with taking edge effects into account by means of modified tight binding (TB) model. The results show that the edge effects have significant influence in defining the bandgap which is a necessary input in the accurate analyses of capacitance. The quantum capacitance is discussed in both nondegenerate (low gate voltage) and degenerate (high gate voltage) regimes. We observe that the classical capacitance limits the total gate (external) capacitance in the degenerate regime, whereas, quantum capacitance limits the external gate capacitance in the nondegenerate regime. The influence of gate capacitances on the gate delay is studied extensively to demonstrate the optimization of switching time. Moreover, the high-field behavior of a GNR is studied in the degenerate and nondegenerate regimes. We find that a smaller intrinsic capacitance appears in the channel due to high velocity carrier, which limits the quantum capacitance and thus limit the gate delay. Such detail analysis of GNRs considering a realistic model would be useful for the optimized design of GNR-based nanoelectronic devices.

Dirichlet process mixture models with pairwise constraints for data clustering

The Dirichlet process mixture (DPM) model, a typical Bayesian nonparametric model, can infer the number of clusters automatically, and thus performing priority in data clustering. This paper investigates the influence of pairwise constraints in the DPM model. The pairwise constraint, known as two types: must-link (ML) and cannot-link (CL) constraints, indicates the relationship between two data points. We have proposed two relevant models which incorporate pairwise constraints: the constrained DPM (C-DPM) and the constrained DPM with selected constraints (SC-DPM). In C-DPM, the concept of chunklet is introduced. ML constraints are compiled into chunklets and CL constraints exist between chunklets. We derive the Gibbs sampling of the C-DPM based on chunklets. We further propose a principled approach to select the most useful constraints, which will be incorporated into the SC-DPM. We evaluate the proposed models based on three real datasets: 20 Newsgroups dataset, NUS-WIDE image dataset and Facebook comments datasets we collected by ourselves. Our SC-DPM performs priority in data clustering. In addition, our SC-DPM can be potentially used for short-text clustering.

The role of middle class in economic development: what do cross-country data show?

This paper investigates the channels through which the middle class may matter for consumption growth. Using several different middle-class measures and a panel of 105 developing countries spanning the period 1985-2013, we find that a larger middle class influences consumption growth primarily through higher levels of human capital accumulation. There is also a significant direct effect of middle-class size on consumption growth, which is more pronounced in the latter half of the sample, the 2000-2013 period.

Guidelines for developing and reporting machine learning predictive models in biomedical research : a multidisciplinary view

BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the inherent complexity of machine learning methods, they are prone to misuse. Because of the flexibility in specifying machine learning models, the results are often insufficiently reported in research articles, hindering reliable assessment of model validity and consistent interpretation of model outputs.

OBJECTIVE: To attain a set of guidelines on the use of machine learning predictive models within clinical settings to make sure the models are correctly applied and sufficiently reported so that true discoveries can be distinguished from random coincidence.

METHODS: A multidisciplinary panel of machine learning experts, clinicians, and traditional statisticians were interviewed, using an iterative process in accordance with the Delphi method.

RESULTS: The process produced a set of guidelines that consists of (1) a list of reporting items to be included in a research article and (2) a set of practical sequential steps for developing predictive models.

CONCLUSIONS: A set of guidelines was generated to enable correct application of machine learning models and consistent reporting of model specifications and results in biomedical research. We believe that such guidelines will accelerate the adoption of big data analysis, particularly with machine learning methods, in the biomedical research community.

Predicamento de seguridad yemení

Con el inicio del periodo Post-Guerra Fría el Sistema Internacional comienza a experimentar un incremento en el fortalecimiento de su componente social; la Sociedad de Estados alcanza un mayor nivel de homogenización, el estado, unidad predominante de esta, comienzan atravesar una serie de transformaciones que obedecerán a una serie de cambios y continuidades respecto al periodo anterior. Desde la perspectiva del Realismo Subalterno de las Relaciones Internacionales se destacan el proceso de construcción de estado e inserción al sistema como las variables que determinan el sentimiento de inseguridad experimentado por las elites estatales del Tercer Mundo; procesos que en el contexto de un nuevo y turbulento periodo en el sistema, tomara algunas características particulares que darán un sentido especifico al sentimiento de inseguridad y las acciones a través de las cuales las elites buscan disminuirlo. La dimensión externa del sentimiento de inseguridad, el nuevo papel que toma la resistencia popular como factor determinante del sentimiento de inseguridad y de la cooperación, así como del conflicto, entre los miembros de la Sociedad Internacional, la inserción como promotor de estrategias de construcción de Estado, son alguno de los temas puntuales, que desde la perspectiva subalterna, parecen salir a flote tras el análisis del sistema en lo que se ha considerado como el periodo Post-Guerra Fría. En este sentido Yemen, se muestra como un caso adecuado no solo para poner a prueba las postulados de la teoría subalterna, veinte años después de su obra más prominente (The third world security Predicament), escrita por M. Ayoob, sino como un caso pertinente que permite acercarse más a la comprensión del papel del Tercer Mundo al interior de la Sociedad Internacional de Estados.

Cardiorespiratory fitness and cardiometabolic risk factors in schoolchildren from Colombia: The FUPRECOL Study

The objectives of this study are to investigate the association between cardiorespiratory fitness and cardiovascular risk factors in schoolchildren and to evaluate the degree of association between overall and abdominal adiposity and cardiorespiratory fitness. A total of 1,875 children and adolescents attending public schools in Bogota, Colombia (56.2% girls; age range of 9–17.9 years). A cardiovascular risk score (Z-score) was calculated and participants were divided into tertiles according to low and high levels of overall (sum of the skinfold thicknesses) and abdominal adiposity. Schoolchildren with a high level of overall adiposity demonstrated significant differences in seven of the 10 variables analyzed (i.e. systolic and diastolic blood pressure, triglycerides, triglycerides/HDL-c ratio, total cholesterol, glucose and cardiovascular risk score). Schoolchildren with high levels of both overall and abdominal adiposity and low cardiorespiratory fitness had the least favorable cardiovascular risk factors score. These findings may be relevant to health promotion in Colombian youth.

Determinación del comportamiento del riesgo cardiovascular en paciente postrasplante hepatico en Fundacion Cardioinfantil

El trasplante hepático es una opción terapéutica para enfermedad hepática avanzada cada vez más frecuente en Colombia. La sobrevida del 80% a 5 años conlleva a un aumento del riesgo cardiovascular y de eventos cardiovasculares, por esta razón esta investigación determina el comportamiento del riesgo cardiovascular en los pacientes con trasplante hepático de la Fundación Cardioinfantil, realizado en 3 años de seguimiento . Lo encontrado en esta investigación es que existe un aumento del riesgo cardiovascular a tres años en pacientes post trasplante hepático, estadísticamente significativo, principalmente secundario a hipertensión, diabetes e hipertrigliceridemia. El aumento es mayor a lo descrito en la población general, y similar a otros pacientes trasplantados, en un periodo de 5 años

El discurso del codesarrollo y la ideología poscolonial: La perpetuación de la migración desde África del Sahel hacia Francia

La cercanía geográfica y los vínculos históricos existentes entre Francia y África mantienen hasta la actualidad unas relaciones enmarcadas en un escenario de cooperación entre ambos. Sin embargo, el creciente número de migrantes de 1999 a 2013 desde las antiguas excolonias francesas, Malí y Senegal, llevó a Francia a impulsar una serie de herramientas para el codesarrollo, es decir, un conjunto de estrategias para que el migrante fuera un vector de desarrollo no solo para Francia sino para sus países de orígen. En ese sentido, este artículo pretende evaluar el codesarrollo como una herramienta discursiva de la política exterior francesa –a través del método de análisis del discurso de Teun van Dijk– en la cual ha prevalecido el poscolonialismo como una ideología que refleja una relación poder-conocimiento.

Comparison of Photovoltaic panel’s standard and simplified models

Shockley diode equation is basic for single diode model equation, which is overly used for characterizing the photovoltaic cell output and behavior. In the standard equation, it includes series resistance (Rs) and shunt resistance (Rsh) with different types of parameters. Maximum simulation and modeling work done previously, related to single diode photovoltaic cell used this equation. However, there is another form of the standard equation which has not included Series Resistance (Rs) and Shunt Resistance (Rsh) yet, as the Shunt Resistance is much bigger than the load resistance and the load resistance is much bigger than the Series Resistance. For this phenomena, very small power loss occurs within a photovoltaic cell. This research focuses on the comparison of two forms of basic Shockley diode equation. This analysis describes a deep understanding of the photovoltaic cell, as well as gives understanding about Series Resistance (Rs) and Shunt Resistance (Rsh) behavior in the Photovoltaic cell. For making estimation of a real time photovoltaic system, faster calculation is needed. The equation without Series Resistance and Shunt Resistance is appropriate for the real time environment. Error function for both Series resistance (Rs) and Shunt resistances (Rsh) have been analyzed which shows that the total system is not affected by this two parameters' behavior.

Different Parameters Variation Analysis of a PV Cell

The paper states an introduction, description and implementation of a PV cell under the variation of parameters. Analysis and observation of a different parameters variation of a PV cell are discussed here. To obtain the model for the purpose of analyzing an equivalent circuit with the consisting parameters a photo current source, a series resistor, a shunt resistor and a diode is used. The fundamental equation of PV cell is used to study the model and to analyze and best fit observation data. The model can be used in measuring and understanding the behaviour of photovoltaic cells for certain changes in PV cell parameters. A numerical method is used to analyze the parameters sensitivity of the model to achieve the expected result and to understand the deviation of changes in different parameters situation at various conditions respectively. The ideal parameters are used to study the models behaviour. It is also compared the behaviour of current-voltage and power-voltage by comparing with produced maximum power point though it is a challenge to optimize the output with real time simulation. The whole working process is also discussed and an experimental work is also done to get the closure and insight about the produced model and to decide upon the validity of the discussed model.