Search results for "feature"

Effect of Enculturation on the Semantic and Acoustic Correlates of Polyphonic Timbre

2011

polyphonic timbre perception was investigated in a cross-cultural context wherein Indian and Western nonmusicians rated short Indian and Western popular music excerpts (1.5 s, n = 200) on eight bipolar scales. Intrinsic dimensionality estimation revealed a higher number of perceptual dimensions in the timbre space for music from one's own culture. Factor analyses of Indian and Western participants' ratings resulted in highly similar factor solutions. The acoustic features that predicted the perceptual dimensions were similar across the two participant groups. Furthermore, both the perceptual dimensions and their acoustic correlates matched closely with the results of a previous study perfor…

Acoustic, neural, and perceptual correlates of polyphonic timbre

2012

The interaction of temporal-aspectual features in modal polysemy: a case-study from Sicilian

2009

THE INTERACTION OF TEMPORAL-ASPECTUAL FEATURES IN MODAL POLYSEMY: A CASE-STUDY FROM SICILIAN. We intend to analyse a number of Sicilian constructions involving the modal vuliri “want” and the modal periphrasis aviri a “have to+ infinitive”. They are used to express both modal values and futurity (Sicilian, but not Italian, lacks a synthetic future). Our analysis is largely based on Cognitive Grammar, according to which modality is a strategy of grounding, involving different kinds of subjectification (Langacker 1991; Traugott 1989), variously grammaticalised in languages. The scalar nature of grammaticalisation processes (Heine et al. 1991) also accounts for the polysemous behaviour of moda…

Clinical characteristics and predictors of death among hospitalized patients infected with SARS‑CoV‑2 in Sicily, Italy: A retrospective observational…

2022

Since late December 2019, severe acute respiratory syndrome coronavirus 2 has spread across the world, which resulted in the World Health Organization declaring a global pandemic. Coronavirus disease 2019 (COVID-19) presents a highly variable spectrum with regard to the severity of illness. Most infected individuals exhibit a mild to moderate illness (81%); however, 14% have a serious disease and 5% develop severe acute respiratory distress syndrome (ARDS), requiring intensive care support. The mortality rate of COVID-19 continues to rise across the world. Data regarding predictors of mortality in patients with COVID 19 are still scarce but are being actively investigated. The present multi…

Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery.

2020

Nitrogen (N) is the main nutrient element that maintains productivity in forages

Automatic Influences of Priming on Prosocial Behavior

2013

Literature on the automaticity of social behavior indicates that in some circumstances, priming a concept automatically activates related behavioral schemas. Previous research studies have used priming techniques to increase willingness to help, but most of these have simply measured intention to engage in prosocial behavior rather than real helping behavior. Two different studies investigated the effect of priming the concept of prosocial behavior on real helping behavior. After priming prosociality through a scrambled sentences test, participants were shown to increase their donation rate after a direct request coming from an experimenter's confederate (study 1) and to spontaneously help …

The crater lake of Ilamatepec (Santa Ana) volcano, El Salvador: insights into lake gas composition and implications for monitoring

2019

We here present the first chemical characterization of the volcanic gas plume issuing from the Santa Ana crater lake, a hyper-acidic crater lake (pH of − 0.2 to 2.5) in north-western El Salvador. Our results, obtained during regular surveys in 2017 and 2018 using a Multi-GAS instrument, demonstrate a hydrous gas composition (H2O/SO2 ratios from 32 to 205) and SO2 as the main sulfur species (H2S/SO2 = 0.03–0.1). We also find that gas composition evolved during our investigated period, with the CO2/SO2 ratio decreasing by one order of magnitude from March 2017 (37.2 ± 9.7) to November 2018 (< 3). This compositional evolution toward more magmatic (SO2-rich) compositions is interpreted in the c…

A characterization of the real estate market

2017

Aim: The aim of the study is to identify and discuss important features of the real estate market with particular emphasis on their economic dimension, as well as to demonstrate cause and effect relationships between these features and the functioning of the market (mainly Polish conditions were taken into account). Design / Research methods: In the main, research and literature studies were carried out, which concerned two basic directions, i.e. identification of essential features of the real estate market from the point of view of their economic dimension, and showing the relationship between these features and the efficient operation of the market. Conclusions / findings: Research and a…

Kernel Feature Extraction Methods for Remote Sensing Data Analysis

2014

Technological advances in the last decades have improved our capabilities of collecting and storing high data volumes. However, this makes that in some fields, such as remote sensing several problems are generated in the data processing due to the peculiar characteristics of their data. High data volume, high dimensionality, heterogeneity and their nonlinearity, make that the analysis and extraction of relevant information from these images could be a bottleneck for many real applications. The research applying image processing and machine learning techniques along with feature extraction, allows the reduction of the data dimensionality while keeps the maximum information. Therefore, develo…

Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

2013

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions.