Studies that estimate the effects of exposure to a possibly harmful agent often compare exposed subjects who received varied doses with matched controls who received zero dose. If the doses are measured with error, then one may wish to use the fallible doses to estimate a linear relationship between the unobserved true dose and the observed response. If one is willing to assume that the dose er...

The increasing use of Geographic Information System applications has generated a strong interest in the assessment of data quality. As an example of quantitative raster data, we analyzed errors in Digital Terrain Models (DTM). Errors might be classified as systematic (strongly dependent on the production methodology) and random. The present work attempts to locate some types of randomly distrib...

Background: Medication errors are considered to be the most significant safety threatening factors for the patients in hospital, to which many factors contribute. Objectives: This study was conducted to determine the role of associated factors in the incidence of medication errors in the psychiatric ward of Razi Hospital in Tabriz from the perspectives of nurses in 2017. Methods: In this desc...

Modeling pavement performance by combining field and experimental data The accurate prediction of pavement performance is important for efficient management of the surface transportation infrastructure. By reducing the error of the pavement deterioration prediction, agencies can obtain significant budget savings through timely intervention and accurate planning. The goal of this research was to...

PURPOSE China is urbanizing rapidly, and the prevalence of myopia is high. This study was conducted to identify the reasons for observed differences in the prevalence of myopia among urban versus rural Chinese children. METHODS All children with uncorrected acuity of 6/12 or worse and a 50% random sample of children with vision better than 6/12 at all secondary schools in mixed rural-urban Li...

In the learning parities with noise problem —well-studied in learning theory and cryptography— we have access to an oracle that, each time we press a button, returns a random vector a ∈ GF(2) together with a bit b ∈ GF(2) that was computed as a ·u+η, where u ∈ GF(2) is a secret vector, and η ∈ GF(2) is a noise bit that is 1 with some probability p. Say p = 1/3. The goal is to recover u. This ta...

BACKGROUND Although there has been a considerable reduction in the infective causes of ocular morbidity, the global burden of blindness has not significantly altered for over a decade. OBJECTIVES To find the extent of ocular morbidity in different subgroups of the rural population and to study the factors associated with ocular morbidity. MATERIALS AND METHODS A cross-sectional study was co...

In this work, we define a new notion of weakly Random-Self-Reducibile cryptosystems and show how it can be used to implement secure Oblivious Transfer. We also show that two recent (Post-quantum) cryptosystems (based on Learning with errors and Approximate Integer GCD) can be considered as weakly Random-Self-Reducible.

In MIST 2012 conference Singh et al [21] presented lattice based forward-secure identity based encryption schemes based on LWE assumption in the random oracle model as well as in the standard model. In this paper we propose lattice based forward-secure identity based encryption scheme with shorter ciphertext in the random oracle model. We have reduced size of the ciphertext C from (m(i+ 2)+ 1)×...

We study a scheme of Bai and Galbraith (CT-RSA’14), also known as TESLA. TESLA was thought to have a tight security reduction from the learning with errors problem (LWE) in the random oracle model (ROM). Moreover, a variant using chameleon hash functions was lifted to the quantum random oracle model (QROM). However, both reductions were later found to be flawed and hence it remained unresolved ...