[Prevalence, knowledge and control of arterial hypertension in vulnerable neighborhoods of Argentina: A Cross-sectional Study]. / Estudio de prevalencia, conocimiento y control de la hipertensión arterial en barrios vulnerables de Argentina.

INTRODUCTION: Hypertension (HTN) represents the primary individual risk factor, contributing significantly to the global burden of cardiovascular diseases (CVD). In our country, epidemiological research has highlighted substantial variations in the prevalence of these risk factors across different populations. However, there is a lack of epidemiological studies assessing exclusive cardiovascular risk factors within vulnerable neighborhoods characterized by extremely limited economic resources, sociocultural challenges, and inadequate healthcare access. METHODS: A multicenter cross-sectional observational study was conducted among individuals residing in economically deprived and marginalized communities, including informal settlements and underprivileged neighborhoods. Simple random sampling of households was employed. Blood pressure measurements, anthropometric assessments, and epidemiological, economic, and sociocultural questionnaires were administered. Results encompass prevalence rates, awareness levels, and blood pressure control across diverse regions. Logistic regression was utilized to identify independent variables influencing primary outcomes. RESULTS: A total of 989 participants were analyzed. The overall prevalence of hypertension was 48.2%. About 82% had a body mass index (BMI) >25. Approximately 45.3% had less than 6 years of formal education. Independent association was established between education levels below 6 years and higher hypertension prevalence. Among hypertensive individuals, 44% were unaware of their condition, with only 17.2% achieving control, correlated with having health insurance and a higher educational background. Merely 24% were receiving combined therapy. CONCLUSION: The prevalence of hypertension within vulnerable neighborhoods is alarmingly high, surpassing rates in other social strata. Knowledge, treatment, and control levels of hypertension are suboptimal, comparable to other populations. Inadequate use of combination therapy was observed. This study underscores the urgent need for targeted interventions addressing cardiovascular risk factors in poor areas to mitigate the burden of CVD.

Active and passive microrheology with large tracers in hard colloids.

The dynamics of a tracer particle in a bath of quasi-hard colloidal spheres is studied by Langevin dynamics simulations and mode coupling theory (MCT); the tracer radius is varied from equal to up to seven times larger than the bath particles radius. In the simulations, two cases are considered: freely diffusing tracer (passive microrheology) and tracer pulled with a constant force (active microrheology). Both cases are connected by linear response theory for all tracer sizes. It links both the stationary and transient regimes of the pulled tracer (for low forces) with the equilibrium correlation functions; the velocity of the pulled tracer and its displacement are obtained from the velocity auto-correlation function and the mean squared displacement, respectively. The MCT calculations give insight into the physical mechanisms: At short times, the tracer rattles in its cage of neighbours, with the frequency increasing linearly with the tracer radius asymptotically. The long-time tracer diffusion coefficient from passive microrheology, which agrees with the inverse friction coefficient from the active case, arises from the transport of transverse momentum around the tracer. It can be described with the Brinkman equation for the transverse flow field obtained in extension of MCT, but cannot be recovered from the MCT kernel coupling to densities only. The dynamics of the bath particles is also studied; for the unforced tracer the dynamics is unaffected. When the tracer is pulled, the velocity field in the bath follows the prediction of the Brinkman model, but different from the case of a Newtonian fluid.

Modeling of post-traumatic epilepsy and experimental research aimed at its prevention

Research on the prevention of post-traumatic epilepsy (PTE) has seen remarkable advances regarding its physiopathology in recent years. From the search for biomarkers that might be used to indicate individual susceptibility to the development of new animal models and the investigation of new drugs, a great deal of knowledge has been amassed. Various groups have concentrated efforts in generating new animal models of traumatic brain injury (TBI) in an attempt to provide the means to further produce knowledge on the subject. Here we forward the hypothesis that restricting the search of biomarkers and of new drugs to prevent PTE by using only a limited set of TBI models might hamper the understanding of this relevant and yet not preventable medical condition.

Modeling of post-traumatic epilepsy and experimental research aimed at its prevention.

Research on the prevention of post-traumatic epilepsy (PTE) has seen remarkable advances regarding its physiopathology in recent years. From the search for biomarkers that might be used to indicate individual susceptibility to the development of new animal models and the investigation of new drugs, a great deal of knowledge has been amassed. Various groups have concentrated efforts in generating new animal models of traumatic brain injury (TBI) in an attempt to provide the means to further produce knowledge on the subject. Here we forward the hypothesis that restricting the search of biomarkers and of new drugs to prevent PTE by using only a limited set of TBI models might hamper the understanding of this relevant and yet not preventable medical condition.

Dynamics and friction of a large colloidal particle in a bath of hard spheres: Langevin dynamics simulations and hydrodynamic description.

The analysis of the dynamics of tracer particles in a complex bath can provide valuable information about the microscopic behavior of the bath. In this work, we study the dynamics of a forced tracer in a colloidal bath by means of Langevin dynamics simulations and a theory model within continuum mechanics. In the simulations, the bath is comprised of quasihard spheres with a volume fraction of 50% immersed in a featureless quiescent solvent, and the tracer is pulled with a constant small force (within the linear regime). The theoretical analysis is based on the Navier-Stokes equation, where a term proportional to the velocity arises from coarse-graining the friction of the colloidal particles with the solvent. As a result, the final equation is similar to the Brinkman model, although the interpretation is different. A length scale appears in the model, k_{0}^{-1}, where the transverse momentum transport crosses over to friction with the solvent. The effective friction coefficient experienced by the tracer grows with the tracer size faster than the prediction from Stokes's law. Additionally, the velocity profiles in the bath decay faster than in a Newtonian fluid. The comparison between simulations and theory points to a boundary condition of effective partial slip at the tracer surface. We also study the fluctuations in the tracer position, showing that it reaches diffusion at long times, with a subdiffusive regime at intermediate times. The diffusion coefficient, obtained from the long-time slope of the mean-squared displacement, fulfills the Stokes-Einstein relation with the friction coefficient calculated from the steady tracer velocity, confirming the validity of the linear response formalism.

TomoEED: fast edge-enhancing denoising of tomographic volumes.

Summary: TomoEED is an optimized software tool for fast feature-preserving noise filtering of large 3D tomographic volumes on CPUs and GPUs. The tool is based on the anisotropic nonlinear diffusion method. It has been developed with special emphasis in the reduction of the computational demands by using different strategies, from the algorithmic to the high performance computing perspectives. TomoEED manages to filter large volumes in a matter of minutes in standard computers. Availability and implementation: TomoEED has been developed in C. It is available for Linux platforms at http://www.cnb.csic.es/%7ejjfernandez/tomoeed. Supplementary information: Supplementary data are available at Bioinformatics online.

Análisis multiciiterio del estado de las pasturs de la hacienda Ganadera garcíía abajo en corinto (cauca, Colombia) / Multi-critera annalysis of grasses of the fam livestock garcia abajo in corrinto (cauca, Colombia)

La evaluación de pasturas utilizando criterios múltiples constituye una herramienta de importancia para la toma de decisiones en el manejo de sistemas ganaderos sostenibles. El objetivo fue construir un índice de estado con base en indicadores productivos y biológicos de los componentes herbáceo y leñoso para tipificar 50 potreros de una explotación ganadera de la Hacienda García Abajo, departamento del Cauca, Colombia. Se levantó información de nueve variables que describen factores incidentes en la producción (área de potreros, edad de la pastura, topografía, árboles y cobertura de dosel), la composición botánica (leguminosas, arvenses, especies de gramíneas) e indicadores de cantidad y calidad de las pasturas (biomasa forrajera y color). Siete de estas variables fueron medidas y calificadas con los uso de una herramienta multicriterio. Mediante estadística multivariada se realizó una tipología de potreros. El conglomerado C1 agrupa los 17 potreros con mayor tiempo de establecimiento, mientras C2 corresponde al de menor cantidad de potreros, los cuales son pasturas jóvenes. C3 agrupa el mayor número de potreros (25), los que a su vez tienen la mayor extensión promedio. C2 fue el conglomerado con mayor producción de biomasa y el que presentó menor porcentaje de vegetación espontánea. En conclusión, el análisis multicriterio para evaluar pasturas permite tomar decisiones y realizar juicios fundamentados sobre diferentes valoraciones, lo cual hace que el diagnóstico sea más acertado y mejor la formulación de soluciones con base en referentes endógenos, a fin de ir mejorando progresivamente el manejo de la finca.

Evaluation of pasture, based on a multicriteria approach, is an important issue for decision making in the design of sustainable farming systems. The aim was to build a state index, based on production and biological indicators of pasture in 50 paddocks of a farm estate Garcia Abajo, located on department of Cauca, Colombia. Nine variables describing incidents factors in production factors (area of pasture, pasture age, topography, trees and canopy cover), the botanical composition (legumes, weeds, grass species) and indicators of quantity and quality of pastures (forage biomass and color) was measured and ranked with the use of a multi-criteria tool. Using multivariate statistics, a typology of pastures was performed. The C1 cluster groups the 17 paddocks longer listing, while C2 corresponds to fewer paddocks, which are young pastures. C3 contains the largest number of pastures (25), which in turn have the largest area averages. C2 fuel conglomerate highest biomass production, and has the lowest percentage of spontaneous vegetation. In conclusion, the multi-criteria analysis to evaluate pastures allows the decision maker to make judgments based on different ratings, which makes diagnosis and formulating solutions, based on endogenous concerning more successful.

[Pulmonary silicoproteinosis. A case of prolonged survival]. / Silicoproteinosis pulmonar. Un caso con supervivencia prolongada

Alveolar silicoproteinosis is a very rare form of silicosis that can develop after a latency period of between a few months and 5 years after the first exposure to silica, and courses invariably, with rapid deterioration of lung function, without an effective response to treatment. Because of its rarity and its unique outcome, the case is presented of a 55 year old woman, diagnosed with alveolar silicoproteinosis in our hospital, who improved by removing the occupational exposure to silica dust and remains stable with no radiological or lung function worsening four years after diagnosis of the disease. To our knowledge, this is the first case of alveolar silicoproteinosis that had a good outcome.

Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction.

Modern computers are equipped with powerful computing engines like multicore processors and GPUs. The 3DEM community has rapidly adapted to this scenario and many software packages now make use of high performance computing techniques to exploit these devices. However, the implementations thus far are purely focused on either GPUs or CPUs. This work presents a hybrid approach that collaboratively combines the GPUs and CPUs available in a computer and applies it to the problem of tomographic reconstruction. Proper orchestration of workload in such a heterogeneous system is an issue. Here we use an on-demand strategy whereby the computing devices request a new piece of work to do when idle. Our hybrid approach thus takes advantage of the whole computing power available in modern computers and further reduces the processing time. This CPU+GPU co-processing can be readily extended to other image processing tasks in 3DEM.

A matrix approach to tomographic reconstruction and its implementation on GPUs.

Electron tomography allows elucidation of the molecular architecture of complex biological specimens. Weighted backprojection (WBP) is the standard reconstruction method in the field. In this work, three-dimensional reconstruction with WBP is addressed from a matrix perspective by formulating the problem as a set of sparse matrix-vector products, with the matrix being constant and shared by all the products. This matrix approach allows efficient implementations of reconstruction algorithms. Although WBP is computationally simple, the resolution requirements may turn the tomographic reconstruction into a computationally intensive problem. Parallel systems have traditionally been used to cope with such demands. Recently, graphics processor units (GPUs) have emerged as powerful platforms for scientific computing and they are getting increasing interest. In combination with GPU computing, the matrix approach for WBP exhibits a significant acceleration factor compared to the standard implementation.