Search results for "EURA"

The forecasting of the roadside pollutant levels to evaluate traffic management measures in Palermo.

2015

The road transport has become the major source of environmental degradation in urban centres. It produces negative externalities (i.e. pollution, delay, etc.) that are usually connected with the queues of traffic flows and the congestion of the road network. The quantitative estimation of roadside pollutant levels is very complex. Many variables are involved such as the type of vehicle (characterized by different antipollution devices, used fuels, engine temperatures, maintenance level of engines, etc.), the different cinematic conditions of the flows, the urban/road network structure, the weather conditions, etc. Therefore it is important to develop scientific tools able to predict roadsid…

Avaimia sisäiseen vahvistumiseen : Elämän avaimet -koulutus ohjausinterventiona

2015

A Novel Pathophysiological Mechanism Contributing to Trigeminal Neuralgia

2016

Trigeminal neuralgia (TN) is a form of neuropathic pain that affects the fifth cranial nerve, the most widely distributed nerve in the head. Although TN has been associated with a variety of pathological conditions, neurovascular compression on the trigeminal nerve, as it exits the brain stem, is the most frequent reported cause. This compression provides a progressive demyelination of the nerve and a subsequent aberrant neural transmission. Although several studies have clarified some physiopathological mechanisms underlying TN, the molecular basis remains vague. Very recently the substitution of methionine 136 by valine (MET126Val) in sodium channel Nav1.6 in a case study of typical TN ha…

I geni neurali di tubulina nello sviluppo di P. lividus

2010

An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

2022

Efficient and scalable early diagnostic methods for knee osteoarthritis are desired due to the disease’s prevalence. The current automatic methods for detecting osteoarthritis using plain radiographs struggle to identify the subjects with early-stage disease. Tibial spiking has been hypothesized as a feature of early knee osteoarthritis. Previous research has demonstrated an association between knee osteoarthritis and tibial spiking, but the connection to the early-stage disease has not been investigated. We study tibial spiking as a feature of early knee osteoarthritis. Additionally, we develop a deep learning based model for detecting tibial spiking from plain radiographs. We collected an…

Helsingin liikuntaseurojen yhteistyömahdollisuudet kaupungin liikuntaviraston kanssa

2005

Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

Childhood physical activity as a labor market investment

2021

This study examined the role of physical activity and changes in physical activity levels during childhood in long‐term labor market outcomes. To address this important but under‐researched theme, the study utilized data drawn from longitudinal research, the Cardiovascular Risk in Young Finns Study (YFS), and from registries compiled by Statistics Finland. The study consisted of children aged 9 (n=1565) and 15 (n=2445) at the time their physical activity was measured. Labor market outcomes, including employment status, average employment months, and average unemployment months, were calculated from 1997 to 2010, when the participants were aged 20 to 48 years. Regression models were used to …

DL_Track : Automated analysis of muscle architecture from B-mode ultrasonography images using deep learning

2023

B-mode ultrasound is commonly used to image musculoskeletal tissues, but one major bottleneck is data analysis. Manual analysis is commonly deployed for assessment of muscle thickness, pennation angle and fascicle length in muscle ultrasonography images. However, manual analysis is somewhat subjective, laborious and requires thorough experience. We provide an openly available algorithm (DL_Track) to automatically analyze muscle architectural parameters in ultrasonography images or videos of human lower limb muscles.
 We trained two different neural networks (classic U-net [Ronneberger et al., 2021] and U-net with VGG16 [Simonyan & Zisserman, 2015] pretrained encoder) one to detect …

Nonlinear black-box models for short-term forecasting of air temperature in the town of Palermo

2011

Weather data are crucial to correctly design buildings and their heating and cooling systems and to assess their energy performances. In the intensely urbanized towns the effect of climatic parameters is further emphasized by the Urban Heat Island (UHI) phenomenon, known as the increase in the air temperature of urban areas, compared to the one measured in the extra-urban areas. The analysis of the heat island needs detailed local climate data which can be collected only by a dedicated weather monitoring system. The Department of Energy and Environmental Researches of the University of Palermo (Italy) has built up a weather monitoring system that works 24 hours per day and makes data availa…