Abstract This paper aims to identify performance differences between conventional European equity indices and ESG indices. Conventional are tools both institutional retail investors use understand the overall state of market, as well a benchmark for comparing investment decisions. or sustainability different from market can provide information about firm’s performance, they new constantly devel...

The main goal of this paper is to study statistical indices and evaluate AGC indices in power system which has large penetration of the WTGs. Increasing penetration of wind turbine generations, needs to study more about impacts of it on power system frequency control. Frequency control is changed with unbalancing real-time system generation and load . Also wind turbine generations have more flu...

Several prototypes for predicting the short-term market reaction to news based on text mining techniques have been developed. However, no detailed comparison of the systems and their performances is available thus far. This paper describes the main systems developed and presents a framework for comparing the approaches. The prototypes differ in the text mining methods applied and the data sets ...

AIM To examine the change in alcohol use parameters following a brief intervention (BI) based on the FRAMES protocol, compared to simple advice (SA), in a community setting in North India. METHOD Ninety male subjects, 20-45 years old, with an AUDIT score between 8 and 24, consented to participate in this study. They were recruited from an earlier study on treatment, non-seeking, and allocated...

The determination of structural and nonstructural damage under earthquake excitations is usually considered as a key factor in performance-based seismic design (PBSD) methods is In this regard, various damage indices have been developed in recent years to quantitatively estimate structural damage. The aim of this study is to develop a simple method to evaluate performance levels of zipper-brace...

Many indices for evaluation of features have been considered. Applied to single features they allow for filtering irrelevant attributes. Algorithms for selection of subsets of features also remove redundant features. Hashing techniques enable efficient application of feature relevance indices to selection of feature subsets. A number of such methods have been applied to artificial and real-worl...