Search results for " FEA"
showing 10 items of 486 documents
Occurrence of two rare species from order Lampriformes: Crestfish Lophotus lacepede (Giorna, 1809) and scalloped ribbonfish Zu cristatus(Bonelli, 181…
2017
The bony fish Lophotus lacepede (Giorna, 1809) and Zu cristatus (Bonelli, 1819) are the two species rarely recorded within the Mediterranean basin, usually reported as accidentally captured in depth (mesopelagic) fishing operations. In the current work, we present the first record of L. lacepede and Z. cristatus in fishing catches from southwestern Tyrrhenian Sea. Moreover, in order to improve existent biological/ ecological knowledge, some bio-related aspects such as feeding aspect, sexual maturity and age estimate have been discussed.
Metaforas modes emuāros
2017
Lai gan metaforas pētījumi ir piesaistījuši daudzu zinātnieku uzmanību, metaforu lietojums modes emuāros nav daudz pētīts. Emuārs kā žanrs parādījās 2000.gadu sākumā un kopš tā laika ir izveidojušies dažādi emuāra veidi. Empīriskie dati ir ekscerpēti no modes emuāra The Blonde Salad. Pētījums ir izstrādāts, lai atbildētu uz pētījuma jautājumu - kāda metaforu funkcija dominē emuārā The Blonde Salad. Pētījuma mērķis ir noteikt avota domēnus, kas metaforiski raksturo modi izvēlētajā modes emuārā. Teorētiskā pētījuma daļa ir balstīta uz teorijām par metaforām, to funkcijām un iedalījumu tādu zinātnieku kā Lakofs, Džonsons, Gibs, Knovles, Mūns un Kovecses skatījumā. Empīŗiskais pētījums ir veikt…
Quill mites (Acari: Syringophilidae) from Aegithalos caudatus (Passeriformes: Aegithalidae)
2004
Three species of syringophilid mites (Acari: Syringophilidae) were collected from quills of Aegithalos caudatus (Passeriformes: Aegithalidae) in Poland, Picobia caudati sp. n. from body feathers, Dissonus scirpaceus Skoracki, 1999 from rectrices, and Syringophilopsis aegithali Bochkov et al., 2001 from secondaries.
Image classification based on 2D feature motifs
2013
The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…
Ai confini della paura. Due percorsi nella narrativa italiana contemporanea
2019
The article is a comparative study of two contemporary Italian novels ("Scherzetto" by Domenico Starnone and "Dalle rovine" by Luciano Funetta) and it is meant to highlight the peculiar narrative logic of two horror stories, also investigating the relationship between obscenity, fear, tension and pornography.
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.
Protective and Educational Effects of Physical Activity Practice on Mental Health in Young Age during COVID-19 Lockdown
2022
Background: The restrictions imposed by the COVID-19 pandemic have modified the lifestyle of young people, worsening their mental health. Although some countries were allowed to practice outdoor physical activity (PA) in cases of lockdown, the PA level in the general population decreased. The current study aims to assess the differences in fear of COVID-19, anxiety, neuroticism, and general self-efficacy between university students who practiced PA during the second wave of lockdown and those who did not practice any PA. Methods: The sample consisted of 276 university students (176 females, 63.8%; mean age: 22.13, SD: ±3.94) who answered an online questionnaire detecting life habits …
Effect of extended famine conditions on aerobic granular sludge stability in the treatment of brewery wastewater
2017
Results obtained from three aerobic granular sludge reactors treating brewery wastewater are presented. Reactors were operated for 60 d days in each of the two periods under different cycle duration: (Period I) short 6 h cycle, and (Period II) long 12 h cycle. Organic loading rates (OLR) varying from 0.7 kg COD m-3 d-1 to 4.1 kg COD m-3 d-1 were tested. During Period I, granules successfully developed in all reactors, however, results revealed that the feast and famine periods were not balanced and the granular structure deteriorated and became irregular. During Period II at decreased 12 h cycle time, granules were observed to develop again with superior structural stability compared to the…
Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music
2013
This study presents a method to analyze blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (tMRI) signals associated with listening to continuous music. Semi-blind independent component analysis (ICA) was applied to decompose the tMRI data to source level activation maps and their respective temporal courses. The unmixing matrix in the source separation process of ICA was constrained by a variety of acoustic features derived from the piece of music used as the stimulus in the experiment. This allowed more stable estimation and extraction of more activation maps of interest compared to conventional ICA methods.
Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition
2018
Background Preprocessed Event-related potential (ERP) data are usually organized in multi-way tensor, in which tensor decomposition serves as a powerful tool for data processing. Due to the limitation of computation burden for multi-way data and the low algorithm performance of stability and efficiency, multi-way ERP data are conventionally reorganized into low-order tensor or matrix before further analysis. However, the reorganization may hamper mode specification and spoil the interaction information among different modes. New method In this study, we applied a fifth-order tensor decomposition to a set of fifth-order ERP data collected by exerting proprioceptive stimulus on left and right…