Theorizing community health governance for strengthening primary healthcare in LMICs

In recent years, community health governance structures have been established in many low and middle-income countries (LMICs) as part of decentralization policies aimed at strengthening primary healthcare systems. So far, most studies on these local structures either focus on measuring their impact on health outcome or on identifying the factors that affect their performance. In this paper we offer an alternative contribution that draws on a sociological interpretation of community health governance to improve understanding of how the government’s policy vision and instrumentation translate to interactions that take place within local spaces at field level. We study 13 Village Health Sanitation and Nutrition Committees (VHSNCs) in Karnataka, India, from 2016 to 2018 focusing on sanitation, nutrition and hygiene which remain impediments to improving primary healthcare amongst poor and marginalized communities. Three local governance mechanisms of horizontal coordination, demand for accountability and self-help help to explain improvements that have taken place at village level and contribute to the creation of a new theory of community health governance as evolving phenomenon that requires a constant process of learning from the field to strengthen policymaking

Analisis Faktor yang Mempengaruhi Tingkat Kesehatan Bank dengan Regresi Logit

The article aims to find the probability effects of bank's health level using CAMEL ratio analysis. The statistic method used to test on the research hypothesis was logit regression. The dependent variable used in this research was bank's health level and independent variables were CAMEL financial ratios consisting of CAR, NPL, ROA, ROE, LDR, and NIM. The report data were extracted from bank's financial from financial report, which had been published and accumulated by Infobank research bureau with valuation, based on bank Indonesia policy. The sample consisted of 60 healthy banks and 14 unhealthy banks in 2005 and 2006. The empirical result of this research indicates that the Non Performing Loan is the significant variable affecting bank health level

Superconductor Insulator Transition in Long MoGe Nanowires

Properties of one-dimensional superconducting wires depend on physical processes with different characteristic lengths. To identify the process dominant in the critical regime we have studied trans- port properties of very narrow (9-20 nm) MoGe wires fabricated by advanced electron-beam lithography in wide range of lengths, 1-25 microns. We observed that the wires undergo a superconductor -insulator transition that is controlled by cross sectional area of a wire and possibly also by the thickness-to-width ratio. Mean-field critical temperature decreases exponentially with the inverse of the wire cross section. We observed that qualitatively similar superconductor{insulator transition can be induced by external magnetic field. Some of our long superconducting MoGe nanowires can be identified as localized superconductors, namely in these wires one-electron localization length is much shorter than the length of a wire

Assessment of genetic variability and character association in okra genotypes for yield and contributing characters

A study of genetic diversity in 20 okra genotypes for 22 morphological and agronomic traits (13 quantita- tive and 9 qualitative) was laid out in randomized block design with three replications during 2015-16. The phenotyp- ic and genotypic variances, phenotypic (PCV) and genotypic coefficients of variation (GCV), heritability, genetic ad- vance of the characters were studied. The genotypes demonstrated wide range of variability for all characters. In this study PCV was higher than its corresponding GCV thus revealing the role of environmental factors. High heritability (h2b) was recorded for all characters except for days to first flowering (27.76%) and days to 50% flowering (34.67%) which have moderate values. Genetic advance in per cent of mean was high for all the characters ex- cept moderate for first flowering node (12.88%), fruit length (17.59%), fruit diameter (13.99%) as well as low for days to first flowering (1.69%) and days to 50% flowering (2.28%). The higher value of genetic advance indicates that selection of genotypes on the basis of these characters is desirable. Fruit yield showed positive and highly significant (at 1% level of significance) genotypic association with fruit diameter, number of fruits per plant, average fruit weight and number of seeds per pod. The genotypes, viz. Kashi Kranti, Kashi Satdhari, VROB-159, Punjab-8 and Kashi Mohini were found promising for most of the yield contributing traits. These genotypes could be used further in hybrid breeding programme

DOLPH: Diffusion Models for Phase Retrieval

Phase retrieval refers to the problem of recovering an image from the magnitudes of its complex-valued linear measurements. Since the problem is ill-posed, the recovery requires prior knowledge on the unknown image. We present DOLPH as a new deep model-based architecture for phase retrieval that integrates an image prior specified using a diffusion model with a nonconvex data-fidelity term for phase retrieval. Diffusion models are a recent class of deep generative models that are relatively easy to train due to their implementation as image denoisers. DOLPH reconstructs high-quality solutions by alternating data-consistency updates with the sampling step of a diffusion model. Our numerical results show the robustness of DOLPH to noise and its ability to generate several candidate solutions given a set of measurements