avo analysis is a technique which is widely used in industry and is applied on seismic prestack data. results from changes in seismic wave reflection amplitude versus offset can be used in extracting elastic properties and hence lithology and reservoirs pore fluid identification. before performing avo analysis studies, processing steps should be ensured that changes in reflection amplitude are ...

We review the definition of evolvability as it appears on the literature. In particular, the concept of software evolvability is compared with other system quality attributes, such as adaptability, maintainability and modifiability.

Hojviri wrote his book Kashf al-Mahjub under the influence of sectarian and social developments and challenges in society and on the basis of his intellectual and religious backgrounds. Following an epistemological approach this article attempts to discuss his views on monotheism and some related issues, such as divine essence, attributes and vision. Moreover, epistemological analysis of Hojvir...

This paper incorporates a rich set of physical water quality attributes, as well as site and household characteristics, into a model of recreational lake usage in Iowa. Our analysis shows individuals are responsive to physical water quality measures. Willingness-to-pay estimates are reported based on improvements in these measures.

In today's healthcare system, there is an imbalance between what patients expect of caregivers' care and their perception of the care they get. How is it possible to reduce this imbalance? The aim of this paper was to describe attributes associated with meaningful encounters in the Swedish healthcare system based on patients' and caregivers' written narratives and to note the differences and si...

Varietal purity and proportions of grains with brown spots, fissured grains, chalky grains andwhole grains in a rice sample are important grain quality attributes influencing consumers'preference and price but little information exist on how these grain quality attributes are affectedby biophysical factors and pre-harvest practices. Several authors have studied in isolation theeffect of biophys...

We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable and face semantic drift because the learning task is under-constrained. This is primarily because they ignore the strong interactions that often exist between scene categories, such as the common attributes shared across categories as well as the a...

In this paper, we discover and annotate visual attributes for the COCO dataset. With the goal of enabling deeper object understanding, we deliver the largest attribute dataset to date. Using our COCO Attributes dataset, a fine-tuned classification system can do more than recognize object categories – for example, rendering multi-label classifications such as “sleeping spotted curled-up cat” ins...