Políticas públicas para el desarrollo productivo de Entre Ríos : Asimetrías y proceso de convergencia en la región Centro Argentina

115 p.Trabajo fin de Máster dirigdo por Sebastián Rovira y co-directora, Graciela Mingo. En la actualidad existen nuevas configuraciones territoriales, conformadas por unidades político administrativas sub-nacionales que presentan características comunes, las cuales, se integran a través de acuerdos provinciales en miras de consolidar su estructura económica, vigorizando sus fortalezas a través del aprovechamiento de la sinergia conjunta que le permita intensificar las ventajas que presenta cada uno de los integrantes y al mismo tiempo tratar de disuadir las debilidades existentes en base a una política integral para implementar estrategias de desarrollo sostenible; y es en este marco donde se circunscribe la Región Centro de la República Argentina, objeto de estudio de esta tesis.  Por otro lado, las heterogeneidades productivas provocan diferentes resultados en cuanto al desarrollo económico de una región. Se parte del pensamiento que para forjar de manera armónica el desarrollo sostenible del territorio se deberá focalizar en la consecución del progreso técnico, orientándose en el  desarrollo y fortalecimiento de sectores productores de bienes que contengan una elevada proporción de investigación, desarrollo e innovaciones.  A partir del enfoque global de la políticas públicas en Argentina ‐ y la región en particular‐, junto con el análisis de datos estadísticos, relacionados con el Producto Bruto Geográfico (periodo 1993 ‐2008) y datos del Censo Económico Nacional 2004, de cada una de las provincias que componen la Región Centro Argentina, se pretende determinar cuáles son las actividades económicas principales que forman la estructura productiva de la Región, para establecer si el sector económico principal de  la provincia de Entre Ríos es la explotación de los productos primarios y una industria manufacturera ligada a dichas actividades, las que generan, en relación a sus pares, un menor valor agregado en sus productos, y sea ésta la razón por la cual la región ha quedado rezagada. Al mismo tiempo se realiza un análisis comparativo que permite determinar el grado de competitividad que ofrece la región en su conjunto y cada provincia que la compone, en forma particular, tratando de establecer las heterogeneidades propias de cada territorio para ser subsanas con políticas específicas y dirigidas a corregir las asimetrías existentes.

RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures

The RepeatsDB database (URL: https://repeatsdb.org/) provides annotations and classification for protein tandem repeat structures from the Protein Data Bank (PDB). Protein tandem repeats are ubiquitous in all branches of the tree of life. The accumulation of solved repeat structures provides new possibilities for classification and detection, but also increasing the need for annotation. Here we present RepeatsDB 3.0, which addresses these challenges and presents an extended classification scheme. The major conceptual change compared to the previous version is the hierarchical classification combining top levels based solely on structural similarity (Class > Topology > Fold) with two new levels (Clan > Family) requiring sequence similarity and describing repeat motifs in collaboration with Pfam. Data growth has been addressed with improved mechanisms for browsing the classification hierarchy. A new UniProt-centric view unifies the increasingly frequent annotation of structures from identical or similar sequences. This update of RepeatsDB aligns with our commitment to develop a resource that extracts, organizes and distributes specialized information on tandem repeat protein structures.Facultad de Ciencias ExactasInstituto de Biotecnologia y Biologia Molecula

Integrando saberes: experiencias de gestión internacional en gobiernos subnacionales

El presente libro es una obra colectiva que reúne trabajos sobre gestión internacional de provincias argentinas y constituye el resultado de la práctica profesional de los autores. Es un trabajo que se enmarca en la disciplina de las Relaciones Internacionales y se organiza en torno a siete capítulos que recorren diversas aristas de la gestión internacional de las provincias argentinas a través del análisis de casos.Universidad Nacional de Rosari

Muscle MRI in a large cohort of patients with oculopharyngeal muscular dystrophy

Background and objective: Oculopharyngeal muscular dystrophy (OPMD) is a genetic disorder caused by an abnormal expansion of GCN triplets within the PABPN1 gene. Previous descriptions have focused on lower limb muscles in small cohorts of patients with OPMD, but larger imaging studies have not been performed. Previous imaging studies have been too small to be able to correlate imaging findings to genetic and clinical data. Methods: We present cross-sectional, T1-weighted muscle MRI and CT-scan data from 168 patients with genetically confirmed OPMD. We have analysed the pattern of muscle involvement in the disease using hierarchical analysis and presented it as heatmaps. Results of the scans were correlated with genetic and clinical data. Results: Fatty replacement was identified in 96.7% of all symptomatic patients. The tongue, the adductor magnus and the soleus were the most commonly affected muscles. Muscle pathology on MRI correlated positively with disease duration and functional impairment. Conclusions: We have described a pattern that can be considered characteristic of OPMD. An early combination of fat replacement in the tongue, adductor magnus and soleus can be helpful for differential diagnosis. The findings suggest the natural history of the disease from a radiological point of view. The information generated by this study is of high diagnostic value and important for clinical trial development

Diet as a moderator in the association of sedentary behaviors with inflammatory biomarkers among adolescents in the HELENA study

AIM: To assess if a healthy diet might attenuate the positive sedentary-inflammation relation, whereas an unhealthy diet may increase the effect of sedentary behaviors on inflammatory biomarkers. METHODS: In 618 adolescents (13-17 years) of the European HELENA study, data were available on body composition, a set of inflammation markers, and food intake assessed by a self-administered computerized 24 h dietary recall for 2 days. A 9-point Mediterranean diet score and an antioxidant-rich diet z-score were used as dietary indices and tested as moderators. A set of low-grade inflammatory characteristics was used as outcome: several cytokines in an inflammatory ratio (IL-6, IL-10, TNF-α, TGFβ-1), C-reactive protein, three cell-adhesion molecules (sVCAM-1, sICAM-1, sE-selectin), three cardiovascular risk markers (GGT, ALT, homocysteine) and three immune cell types (white blood cells, lymphocytes, CD3). Sedentary behaviors were self-reported and analyzed as total screen time. Multiple linear regression analyses tested moderation by diet in the sedentary behaviors-inflammation association adjusted for age, sex, country, adiposity (sum of six skinfolds), parental education, and socio-economic status. RESULTS: Both diet scores, Mediterranean and antioxidant-rich diet, were significant protective moderators in the effect of sedentary behaviors on alanine-transaminase enzyme (P = 0.014; P = 0.027), and on the pro/anti-inflammatory cytokine ratio (P = 0.001; P = 0.004), but not on other inflammatory parameters. CONCLUSION: A higher adherence to the Mediterranean diet or an antioxidant-rich diet may attenuate the onset of oxidative stress signs associated by sedentary behaviors, whereas a poor diet seems to increase inflammation

Do dietary patterns determine levels of vitamin B6, folate, and vitamin B12 intake and corresponding biomarkers in European adolescents? The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study

OBJECTIVES: To determine dietary patterns (DPs) and explain the highest variance of vitamin B6, folate, and B12 intake and related concentrations among European adolescents. METHODS: A total of 2173 adolescents who participated in the Healthy Lifestyle in Europe by Nutrition in Adolescence study met the eligibility criteria for the vitamin B intake analysis (46% boys) and 586 adolescents for the biomarkers analysis (47% boys). Two non-consecutive, 24-h, dietary recalls were used to assess the mean intakes. Concentrations were measured by chromatography and immunoassay testing. A reduced rank regression was applied to elucidate the combined effect of food intake of vitamin B and related concentrations. RESULTS: The identified DPs (one per vitamin B intake and biomarker and by sex) explained a variability between 34.2% and 23.7% of the vitamin B intake and between 17.2% and 7% of the biomarkers. In the reduced rank regression models, fish, eggs, cheese, whole milk and buttermilk intakes were loaded positively for vitamin B intake in both sexes; however, soft drinks and chocolate were loaded negatively. For the biomarkers, a higher variability was observed in the patterns in terms of food loads such as alcoholic drinks, sugars, and soft drinks. Some food items were loaded differently between intakes and biomarkers such as fish products, which was loaded positively for intakes but negatively for plasma folate in girls. CONCLUSIONS: The identified DPs explained up to 34.2% and 17.2% of the variability of the vitamin B intake and plasma concentrations, respectively, in European adolescents. Further studies are needed to elucidate the factors that determine such patterns

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R2 increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase