Editorial Luc
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منابع مشابه
Comments of the Reviewers and the Editorial Committee (noted Literally and Subdivided into Different Points) Response of Authors and Changes with Specific Reference to the Revised
Title: Physician reports of medication use with explicit intention of hastening the end of life in the absence of explicit patient request in general practice in Belgium
متن کاملMoran–Flavoured Tests with Nuisance Parameters: Examples
In this paper I illustrate the use of general conditions, derived by Pinkse (1999), under which Moran–flavoured tests for spatial correlation and spatial cross–correlation have a limiting normal distribution in the presence of nuisance parameters in six frequently encountered spatial models. The conditions are weaker than those in related work by other authors and the class of nuisance paramete...
متن کاملDesign and application of a bioluminescent biosensor for detection of toxicity using Huh7-CMV-luc cell line
Cell-based biosensors (CBBs) are becoming important tools for biosecurity applications and rapid diagnostics in food microbiology for their unique capability of detecting hazardous materials. Pollutants, such as heavy metals and chemicals, are now considered as a global threat and are associated with detrimental health outcomes. Fast and accurate detection of pollutants is essential to reduce t...
متن کاملThe BNVKI is sponsored by AHOLD and by BOLESIAN
BOARD BNVKI: EDITORIAL BOARD: Joost Kok (chair) Floris Wiesman (Editor in Chief) Rineke Verbrugge (member) Jaap van den Herik Wiebe van der Hoek (member) Bart de Boer Yao-Hua Tan (member) Shan-Hwei Nienhuys-Cheng Floris Wiesman (member) Cees Witteveen Luc DeHaspe (member) Antal van den Bosch (section editor) Walter Daelemans (member) Joris Van Looveren (editor Belgium) Bas Zinsmeister (member) ...
متن کاملUsing Post-Classification Enhancement in Improving the Classification of Land Use/Cover of Arid Region (A Case Study in Pishkouh Watershed, Center of Iran)
Classifying remote sensing imageries to obtain reliable and accurate LandUse/Cover (LUC) information still remains a challenge that depends on many factors suchas complexity of landscape especially in arid region. The aim of this paper is to extractreliable LUC information from Land sat imageries of the Pishkouh watershed of centralarid region, Iran. The classical Maximum Likelihood Classifier ...
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