Mother's Autonomy and Child Welfare: A New Measure and Some New Evidence

We construct a new, direct measure of female autonomy in household decision-making by creating an index from the principal components of a variety of household variables on which mother of a child takes decision. We then examine its impacts on her child’s secondary education in Mexico and find that the children of Mexican mothers with greater autonomy in domestic decision making have higher enrolment in and lower probability of dropping out of secondary school. We use the relative proximity of spousal parents as instruments for relative autonomy to ameliorate the potential endogeneity between autonomy and welfare outcomes. We argue that omitted variables that may drive education and autonomy are likely to be uncorrelated with the ones driving location choice of families given the migration patterns in Mexico. However, the positive autonomy effect is weaker and non-existent for older children and for girls suggesting that gender-directed conditional cash transfer policies may not necessarily hasten educational and gender transition in the process of development.instrumental variable, education, principal component, female empowerment

Mother's Autonomy and Child Welfare: A New Measure and Some New Evidence

We construct a new, direct measure of female autonomy in household decision-making by creating an index from the principal components of a variety of household variables on which mother of a child takes decision. We then examine its impacts on her child's secondary education in Mexico and find that the children of Mexican mothers with greater autonomy in domestic decision making have higher enrolment in and lower probability of dropping out of secondary school. We use the relative proximity of spousal parents as instruments for relative autonomy to ameliorate the potential endogeneity between autonomy and welfare outcomes. We argue that omitted variables that may drive education and autonomy are likely to be uncorrelated with the ones driving location choice of families given the migration patterns in Mexico. However, the positive autonomy effect is weaker and non-existent for older children and for girls suggesting that gender-directed conditional cash transfer policies may not necessarily hasten educational and gender transition in the process of development.Female Empowerment, Principal Component, Education, Instrumental Variable

Induced Anticlinic Ordering and Nanophase Segregation of Bow-Shaped Molecules in a Smectic Solvent

Recent experiments indicate that doping low concentrations of bent-core molecules into calamitic smectic solvents can induce anticlinic and biaxial smectic phases. We have carried out Monte Carlo (MC) simulations of mixtures of rodlike molecules (hard spherocylinders with length/breadth ratio $L_{\rm rod}/D = 5$) and bow- or banana-shaped molecules (hard spherocylinder dimers with length/breadth ratio $L_{ban}/D = 5$ or 2.5 and opening angle $\psi$) to probe the molecular-scale organization and phase behavior of rod/banana mixtures. We find that a low concentration (3%) of $L_{ban}/D = 5$ dimers induces anticlinic (SmC$_A$) ordering in an untilted smectic (SmA) phase for $100^\circ \le \psi < 150^\circ$. For smaller $\psi$, half of each bow-shaped molecule is nanophase segregated between smectic layers, and the smectic layers are untilted. For $L_{ban}/D = 2.5$, no tilted phases are induced. However, with decreasing $\psi$ we observe a sharp transition from {\sl intralamellar} nanophase segregation (bow-shaped molecules segregated within smectic layers) to {\sl interlamellar} nanophase segregation (bow-shaped molecules concentrated between smectic layers) near $\psi = 130^\circ$. These results demonstrate that purely entropic effects can lead to surprisingly complex behavior in rod/banana mixtures.Comment: 5 pages Revtex, 7 postscript figure

Phase Behavior of Bent-Core Molecules

Recently, a new class of smectic liquid crystal phases (SmCP phases) characterized by the spontaneous formation of macroscopic chiral domains from achiral bent-core molecules has been discovered. We have carried out Monte Carlo simulations of a minimal hard spherocylinder dimer model to investigate the role of excluded volume interations in determining the phase behavior of bent-core materials and to probe the molecular origins of polar and chiral symmetry breaking. We present the phase diagram as a function of pressure or density and dimer opening angle $\psi$. With decreasing $\psi$, a transition from a nonpolar to a polar smectic phase is observed near $\psi = 167^{\circ}$, and the nematic phase becomes thermodynamically unstable for $\psi < 135^{\circ}$. No chiral smectic or biaxial nematic phases were found.Comment: 4 pages Revtex, 3 eps figures (included

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images

Background and objective Celiac Disease (CD) is characterized by gluten intolerance in genetically predisposed individuals. High disease prevalence, absence of a cure, and low diagnosis rates make this disease a public health problem. The diagnosis of CD predominantly relies on recognizing characteristic mucosal alterations of the small intestine, such as villous atrophy, crypt hyperplasia, and intraepithelial lymphocytosis. However, these changes are not entirely specific to CD and overlap with Non-Celiac Duodenitis (NCD) due to various etiologies. We investigated whether Artificial Intelligence (AI) models could assist in distinguishing normal, CD, and NCD (and unaffected individuals) based on the characteristics of small intestinal lamina propria (LP). Methods Our method was developed using a dataset comprising high magnification biopsy images of the duodenal LP compartment of CD patients with different clinical stages of CD, those with NCD, and individuals lacking an intestinal inflammatory disorder (controls). A pre-processing step was used to standardize and enhance the acquired images. Results For the normal controls versus CD use case, a Support Vector Machine (SVM) achieved an Accuracy (ACC) of 98.53%. For a second use case, we investigated the ability of the classification algorithm to differentiate between normal controls and NCD. In this use case, the SVM algorithm with linear kernel outperformed all the tested classifiers by achieving 98.55% ACC. Conclusions To the best of our knowledge, this is the first study that documents automated differentiation between normal, NCD, and CD biopsy images. These findings are a stepping stone toward automated biopsy image analysis that can significantly benefit patients and healthcare providers

Shadow Sovereign Ratings for Unrated Developing Countries

Summary We predict sovereign ratings for developing countries that do not have risk ratings from agencies such as Fitch, Moody's, and Standard and Poor's. Ratings are important in determining the volume and cost of capital flows to developing countries through international bond, loan, and equity markets. Sovereign rating also acts as a ceiling for the foreign currency rating of sub-sovereign borrowers and can be important for their access to international debt and equity capital. We generate shadow ratings for several developing countries that have never been rated and find that unrated countries are not always at the bottom of the rating spectrum. Several of them are projected to have a "B" or higher rating, in a similar range to that of the emerging market economies with capital market access.developing countries sovereign rating country risk development finance