Search results for "AIV"
showing 10 items of 375 documents
A New Technique for Vibration-Based Diagnostics of Fatigued Structures Based on Damage Pattern Recognition via Minimization of Misclassification Prob…
2017
Vibration-based diagnostics provide various methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response. Research in vibration-based damage recognition has been rapidly expanding over the last few years. The basic idea behind this technology is that modal parameters (notably frequencies, mode shapes, and modal damping) are functions of the physical properties of the structure (mass, damping, and stiffness). Therefore, changes in the physical properties will cause detectable changes in the modal properties. In investigations, many techniques were applied to recognize damage in structural and mechanical systems, b…
L’interprétation des sources altimédiévales par les praticiens du droit et les érudits de l’Ancien Régime : l’exemple de David Hoüard
2012
International audience
Diet quality and academic achievement : A prospective study among primary school children
2017
Purpose Poor diet quality may impair academic achievement in children, but such evidence is limited. Therefore, we investigated the associations of healthy diet in Grade 1 assessed by Mediterranean Diet Score (MDS), Baltic Sea Diet Score (BSDS), and Finnish Children Healthy Eating Index (FCHEI) with academic achievement in Grades 1–3 in children. Methods The participants were 161 Finnish children who were 6–8 years old in Grade 1 and attended in a large ongoing physical activity and dietary intervention study. Dietary factors were assessed using 4-day food records, and MDS, BSDS, and FCHEI were calculated. Academic achievement was assessed by reading fluency, reading comprehension, and arit…
Neuromagnetic studies of attention in children and youth: Role of exercise and impact on cognitive competence
2023
Tarkkaavuus on monella tavoin yhteydessä elimistömme sisäisiin ja ulkoisiin tekijöihin aivojen kehityksen aikana, jolloin aivot muovautuvat voimakkaasti. Tässä väitöskirjassa tutkitaan tarkkaavuutta kahdesta eri näkökulmasta: millä tavoin oma toimintamme vaikuttaa tarkkaavuuteen ja toisaalta miten tarkkaavuus moduloi muita kognitiivisia toimintoja. Tarkemmin sanottuna väitöskirjassa tutkitaan fyysisen aktiivisuuden ja aerobisen kunnon yhteyksiä ennakoivan tarkkaavuuden ja modaliteettien välisen tarkkaavuuden suuntaamisen aivoperustaan 13-17-vuotiailla nuorilla. Lisäksi väitöskirjassa tutkitaan millä tavoin tarkkaavuus vaikuttaa puheäänteiden ja ei-kielellisten äänteiden käsittelyyn aivoissa…
Brain, cognition and physically active lifestyle in healthy ageing
2018
Normal ageing is accompanied by profound changes in brain structure and declines in the automatic processing of sensory stimuli, which in turn lead to altered cognitive performance. However, behaviour and lifestyle factors, such as physical activity, may help to maintain the brain’s structural connectivity and function, as well as cognitive functioning in old age. Study I examined the effects of age on the brain’s capability to detect changes in somatosensory stimuli by recording event-related potentials (ERPs) in response to electrical stimulation of different fingers in young and older adults. The results of Study I show that somatosensory mismatch response (sMMR) was attenuated in amplit…
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
2021
Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…