Protocol for FLIP pilot study

This protocol includes a training guide to assist researchers in cataloguing food ingredients through use of the Food Label Information Program (FLIP) interface and database. It includes steps for downloading the “Food Collector App” which can scan information (including both text and image) on food labels. A step by step process is outlined for entering the data for compilation and analysis. Examples are provided for tinned food such as fruit and vegetables, and dry food packaging such as cereals

Protocol for FLIP study of project IDRC 108167 scaling-up and evaluating salt reduction policies and programs in Latin American countries

This guide assists researchers in cataloguing food ingredients by using the Food Label Information Program (FLIP) interface and database. It includes steps for downloading the “Food Collector App” which can scan information (including both text and image) on food labels. A step by step process is outlined for entering the data for compilation and analysis. Examples are provided for tinned food such as fruit and vegetables, and dry food packaging such as cereals

FLIP-LAC user guide

This is version 6.4 of the FLIP-LAC manual. The Food Labeling Information Program for Latin America (FLIP-LAC) for data collection and registration is a smartphone-based technology developed by the University of Toronto, Canada. The FLIP iPhone app is meant for quickly capturing a limited amount of information about a food product - most importantly the product barcode and photos of product. Once this information is captured, the data and the photos are later uploaded to the FLIP website where the rest of the data entry can be completed based on photos of the product

Guía para la presentación de anteproyectos de tesis en la licenciatura de Química.

Para la Universidad Autónoma de Chiriquí y en particular para la Escuela de Química la investigación es una necesidad cuyo objetivo final es el de beneficiar e impactar con los resultados a la sociedad a la cual nos debemos. El documento que a continuación se desarrolla pretende ser una guía para los estudiantes y docentes de la licenciatura de la Escuela de Química de la Universidad Autónoma de Chiriquí, en el proceso de elaboración del anteproyecto de investigación, también llamado protocolo de investigación.Para la Universidad Autónoma de Chiriquí y en particular para la Escuela de Química la investigación es una necesidad cuyo objetivo final es el de beneficiar e impactar con los resultados a la sociedad a la cual nos debemos. El documento que a continuación se desarrolla pretende ser una guía para los estudiantes y docentes de la licenciatura de la Escuela de Química de la Universidad Autónoma de Chiriquí, en el proceso de elaboración del anteproyecto de investigación, también llamado protocolo de investigación

Non BPS noncommutative vortices

We construct exact vortex solutions to the equations of motion of the Abelian Higgs model defined in non commutative space, analyzing in detail the properties of these solutions beyond the BPS point. We show that our solutions behave as smooth deformations of vortices in ordinary space time except for parity symmetry breaking effects induced by the non commutative parameter $\theta$.Comment: 17 pages, 5 figure

Maternal Serum Meteorin Levels and the Risk of Preeclampsia

BACKGROUND: Meteorin (METRN) is a recently described neutrophic factor with angiogenic properties. This is a nested case-control study in a longitudinal cohort study that describes the serum profile of METRN during different periods of gestation in healthy and preeclamptic pregnant women. Moreover, we explore the possible application of METRN as a biomarker. METHODS AND FINDINGS: Serum METRN was measured by ELISA in a longitudinal prospective cohort study in 37 healthy pregnant women, 16 mild preeclamptic women, and 20 healthy non-pregnant women during the menstrual cycle with the aim of assessing serum METRN levels and its correlations with other metabolic parameters. Immunostaining for METRN protein was performed in placenta. A multivariate logistic regression model was proposed and a classifier model was formulated for predicting preeclampsia in early and middle pregnancy. The performance in classification was evaluated using measures such as sensitivity, specificity, and the receiver operating characteristic (ROC) curve. In healthy pregnant women, serum METRN levels were significantly elevated in early pregnancy compared to middle and late pregnancy. METRN levels are significantly lower only in early pregnancy in preeclamptic women when compared to healthy pregnant women. Decision trees that did not include METRN levels in the first trimester had a reduced sensitivity of 56% in the detection of preeclamptic women, compared to a sensitivity of 69% when METRN was included. CONCLUSIONS: The joint measurements of circulating METRN levels in the first trimester and systolic blood pressure and weight in the second trimester significantly increase the probabilities of predicting preeclampsia

Cell walls of the dimorphic fungal pathogens Sporothrix schenckii and Sporothrix brasiliensis exhibit bilaminate structures and sloughing of extensive and intact layers

This work was supported by the Fundação Carlos Chagas de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), grants E-26/202.974/2015 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), grants 229755/2013-5, Brazil. LMLB is a senior research fellow of CNPq and Faperj. NG acknowledged support from the Wellcome Trust (Trust (097377, 101873, 200208) and MRC Centre for Medical Mycology (MR/N006364/1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

Analyzing multitarget activity landscapes using protein-ligand interaction fingerprints: interaction cliffs.

This is the original submitted version, before peer review. The final peer-reviewed version is available from ACS at http://pubs.acs.org/doi/abs/10.1021/ci500721x.Activity landscape modeling is mostly a descriptive technique that allows rationalizing continuous and discontinuous SARs. Nevertheless, the interpretation of some landscape features, especially of activity cliffs, is not straightforward. As the nature of activity cliffs depends on the ligand and the target, information regarding both should be included in the analysis. A specific way to include this information is using protein-ligand interaction fingerprints (IFPs). In this paper we report the activity landscape modeling of 507 ligand-kinase complexes (from the KLIFS database) including IFP, which facilitates the analysis and interpretation of activity cliffs. Here we introduce the structure-activity-interaction similarity (SAIS) maps that incorporate information on ligand-target contact similarity. We also introduce the concept of interaction cliffs defined as ligand-target complexes with high structural and interaction similarity but have a large potency difference of the ligands. Moreover, the information retrieved regarding the specific interaction allowed the identification of activity cliff hot spots, which help to rationalize activity cliffs from the target point of view. In general, the information provided by IFPs provides a structure-based understanding of some activity landscape features. This paper shows examples of analyses that can be carried out when IFPs are added to the activity landscape model.M-L is very grateful to CONACyT (No. 217442/312933) and the Cambridge Overseas Trust for funding. AB thanks Unilever for funding and the European Research Council for a Starting Grant (ERC-2013- StG-336159 MIXTURE). J.L.M-F. is grateful to the School of Chemistry, Department of Pharmacy of the National Autonomous University of Mexico (UNAM) for support. This work was supported by a scholarship from the Secretariat of Public Education and the Mexican government

Control of star formation by supersonic turbulence

Understanding the formation of stars in galaxies is central to much of modern astrophysics. For several decades it has been thought that stellar birth is primarily controlled by the interplay between gravity and magnetostatic support, modulated by ambipolar diffusion. Recently, however, both observational and numerical work has begun to suggest that support by supersonic turbulence rather than magnetic fields controls star formation. In this review we outline a new theory of star formation relying on the control by turbulence. We demonstrate that although supersonic turbulence can provide global support, it nevertheless produces density enhancements that allow local collapse. Inefficient, isolated star formation is a hallmark of turbulent support, while efficient, clustered star formation occurs in its absence. The consequences of this theory are then explored for both local star formation and galactic scale star formation. (ABSTRACT ABBREVIATED)Comment: Invited review for "Reviews of Modern Physics", 87 pages including 28 figures, in pres