Prognostic utility of plasma neutrophil gelatinase-associated lipocalin in patients with acute heart failure: The NGAL EvaLuation Along with B-type NaTriuretic Peptide in acutely decompensated heart failure (GALLANT) trial

Neutrophil gelatinase-associated lipocalin (NGAL) is a measure of acute kidney injury. Renal dysfunction portends significant risk after discharge from acute heart failure (AHF). Thus, a sensitive marker of renal injury might also help to risk stratify HF patients

Statistical inference of the Burr Type III distribution under joint progressively Type-II censoring

The joint censoring technique is essential when the study's objective is to assess the relative benefits of products in relation to their service times. To reduce the cost and duration of the experiment, progressive censoring has gained a lot of attention in recent years. This article examines the statistical inference for the Burr Type III distribution using a joint progressive Type II censoring method on two samples. For model parameters, both the maximum likelihood and Bayesian methods are considered. Next, approximate confidence intervals are obtained based on the observed information matrix. Confidence intervals are also obtained using the procedures of Bootstrap-P and Bootstrap-T. Bayesian estimators are provided for symmetric and asymmetric loss functions. The Bayesian estimators cannot be produced in closed forms; hence, we compute the Bayesian estimators and the related credible intervals using the Markov chain Monte Carlo method. To evaluate the performance of the estimators, we conduct comprehensive simulation experiments. Finally, for purposes of illustration, we analyze two real data sets

Documentation of Farming Management with GIS and ArcView: A Case Study for Agricultural Research Station of Faculty of Agriculture, Ferdowsi University of Mashhad, Iran

Abstract\ud This survey was conducted for base documentation of farm management with GIS and ArcView based on a 5-year data of the agricultural research station of faculty of Agriculture, Ferdowsi University of Mashhad, Iran as a case study. Soil properties and water quality were determined and the necessary data were recorded and analyzed by Excel, ArcView and ArcMap. Then, data (2003-08) available on farming practices were transformed to the appropriate maps. Maps for water resources and quality, soil suitability and farming practices and management (e.g. type of crops, rotation etc) were drawn. This is a prototype database and could be expended for and applied to large farming operations. Based on the result of soil and water analysis water quality of this farm is suitable to medium, texture of soil is medium to heavy with a relatively deep profile and permeability. Soil suitability classes were II and IIs. \ud \ud Keywords: Spatial information, Database, Geographic information system, Precision farmin