OBJECTIVE To assess the prevalence of diabetes mellitus (DM) and associated factors among HIV-infected adults in northwest Ethiopia. DESIGN Hospital-based cross-sectional study. SETTING HIV clinic of the University of Gondar Hospital, Ethiopia. PARTICIPANTS All HIV-infected adults who visited the HIV clinic from December 2013 to the end of February 2014 were the source population. MEASU...

Many scientific studies measure different types of high-dimensional signals or images from the same subject, producing multivariate functional data. These functional measurements carry different types of information about the scientific process, and a joint analysis that integrates information across them may provide new insights into the underlying mechanism for the phenomenon under study. Mot...

Long-term shortages in the blood supply perpetuate increased morbidity and mortality from treatable diseases. However, how much people are motivated to donate was less studied, especially among university students. This study aimed determine effectiveness of online intervention for knowledge, attitude, self-efficacy towards donation undergraduate A pre-and post-test conducted Four hundred stude...

The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words–binary-parse-structurewith headword annotation. The model, its probabilistic parametrization, and a set of experiments meant to evaluate its p...

We address the inference of discrete-state models for tree-structured data. Our aim is to introduce parametric multitype branching processes that can be efficiently estimated on the basis of data of limited size. Each generation distribution within this macroscopic model is modeled by a partially directed acyclic graphical model. The estimation of each graphical model relies on a greedy algorit...

This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal problems based on such are generally non-convex and difficult solve online. In this paper, we propose a model that combines Hammerstein-Wiener with input convex neural networks, which have recently been proposed in field learning. An important feature is resulting effectiv...

objective: diabetes is a chronic disease that causes severe side effects in patients. according to the previous studies, the incidence of depression and anxiety is higher among patients with diabetes type 2. the present study was conducted with the aim of examining the effectiveness of mindfulness-based stress reduction program and conscious yoga on depression, anxiety and stress in patients wi...