Search results for "EURA"
showing 10 items of 3336 documents
Total and regional body adiposity increases during menopause : evidence from a follow‐up study
2022
For women, menopausal transition is a time of significant hormonal changes, which may contribute to altered body composition and regional adipose tissue accumulation. Excess adiposity, and especially adipose tissue accumulation in the central body region, increases women's risk of cardiovascular and metabolic conditions and affects physical functioning. We investigated the associations between menopausal progression and total and regional body adiposity measured with dual-energy X-ray absorptiometry and computed tomography in two longitudinal cohort studies of women aged 47–55 (n = 230 and 148, mean follow-up times 1.3 ± 0.7 and 3.9 ± 0.2 years, mean baseline BMI 25.5 kg/m2). We also examin…
Lynchin oireyhtymän syöpää ehkäisevä seuranta muuttuu geenikohtaiseksi
2020
Asetyylisalisyylihapon tehosta vakuuttavaa näyttöä ja rokote kehitteillä nonPeerReviewed
The acute effects of massage on muscle tone and perceived recovery
2008
Haakana, Piia 2008. The acute effects of massage on muscle tone and perceived recovery. Department of biology of physical activity, University of Jyväskylä. Bachelor’s thesis. 47 pp. The physiological effects of massage have been controversial in previous studies. There is one previous study on effects of massage on muscle tone but there were no effects during one month intervention. The purpose of this study was to determine the correlations between subcutaneous tissue and rectus femoris muscle thickness and muscle tone. The differences on muscle tone between groups that received massage immediately or one day after the resistance training were examined. The effects of massage on perceived…
Can Oscillatory Alpha-Gamma Phase-Amplitude Coupling be Used to Understand and Enhance TMS Effects?
2019
Recent applications of simultaneous scalp electroencephalography (EEG) and transcranial magnetic stimulation (TMS) suggest that adapting stimulation to underlying brain states may enhance neuroplastic effects of TMS. It is often assumed that longer-lasting effects of TMS on brain function may be mediated by phasic interactions between TMS pulses and endogenous cortical oscillatory dynamics. The mechanisms by which TMS exerts its neuromodulatory effects, however, remain unknown. Here, we discuss evidence concerning the functional effects on synaptic plasticity of oscillatory cross-frequency coupling in cortical networks as a potential framework for understanding the neuromodulatory effects o…
Orobanche centaurina Bertol. the correct name for O. kochii F.W. Schultz (Orobanchaceae)
2019
After the studying the original material of Orobanche centaurina Bertol. (Orobanchaceae) deposited in BOLO, a forgotten species described from Massa (Central Italy) parasitizing Centaurea paniculata L., and compared it with the type of O. kochii F.W. Schultz and with the types of others taxa actually considered synonyms of this, we concluded that the name of Bertoloni is the correct one for this species. Orobanche centaurina Bertol., nombre correcto para O. kochii F.W. Schultz (Orobanchaceae). Después de estudiar el material original de Orobanche centaurina Bertol. (Orobanchaceae) depo sitado en BOLO, una olvidada especie descrita de Massa (Italia central) parásita de Centaurea paniculata L…
Slight variations in components ratio affect odor pleasantness of a blending mixture
2009
International audience; Odors rely mainly on the perception of odorants mixtures but are commonly perceived as single undivided entities; nevertheless, the processes involved remain poorly explored. It has been reported that perceptual blending, based on configural olfactory processing, can lead odorant mixtures to give rise to an emergent odor quality not present in the components. Furthermore, very slight variations (just noticeable differences, jnd) in components concentrations were shown to be sufficient to modify the odor quality of a blending mixture. In the present study, we set out to examine whether jnd in components concentrations could also affect the odor pleasantness of a blend…
Resultados de la cirugía videotoracoscópica en el neumotórax espontáneo primario analizando la técnica de pleurodesis por abrasión versus la técnica …
2013
Presentamos en este trabajo nuestra experiencia acumulada en el tratamiento quirúrgico del neumotórax espontáneo primario mediante cirugía videotoracoscópica. Se ha elegido el neumotórax por tratarse de la patología benigna que, además de frecuente, ha sido la primera en beneficiarse de la VATS. Durante un periodo de dieciséis años (entre junio de 1994 y febrero de 2010) se realizaron 238 intervenciones por neumotórax espontáneo primario mediante VATS en 216 pacientes; en 115 procedimientos se escogió la abrasión pleural como método de pleurodesis, mientras que en 123 casos se llevó a cabo una técnica mixta consistente en pleurectomía apical combinada con abrasión del resto de la pleura par…
Power Line Monitoring through Data Integrity Analysis with Q-Learning Based Data Analysis Network
2022
To monitor and handle big data obtained from electrical, electronic, electro-mechanical, and other equipment linked to the power grid effectively and efficiently, it is important to monitor them continually to gather information on power line integrity. We propose that data transmission analysis and data collection from tools like digital power meters may be used to undertake predictive maintenance on power lines without the need for specialized hardware like power line modems and synthetic data streams. Neural network models such as deep learning may be used for power line integrity analysis systems effectively, safely, and reliably. We adopt Q-learning based data analysis network for anal…
Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit
2017
A cubic neural unit is a kind of a higher-order neural unit which can be used for prediction tasks among others, in the medical field. The example of the tasks includes monitoring cardiac behavior in real-time either for preemptive treatment, or for supporting a doctor to reach a more accurate diagnosis. We propose a predictive model which has been developed as an application in open source code with the aim to make it publicly accessible for research community and medical professionals and also to decrease the implementation cost. The proposed model uses sample-by-sample adaptation of the gradient descent method with error backpropagation. This paper presents an application of a cubic neur…