Search results for "EURA"
showing 10 items of 3336 documents
"Meni voimisteluhuumassa se reissu" : tapaustutkimus Oulun Voimisteluseuran naisvoimistelijoiden motiiveista osallistua kansainväliseen Gymnaestrada-…
2017
Laari, E. 2017. ”Meni voimisteluhuumassa se reissu”: tapaustutkimus Oulun Voimisteluseu- ran naisvoimistelijoiden motiiveista osallistua kansainväliseen Gymnaestrada-tapahtumaan. Liikuntatieteellinen tiedekunta, Jyväskylän yliopisto, liikunnan yhteiskuntatieteiden pro gradu -tutkielma, 75 s., 2 liitettä. Suomessa on järjestetty jo yli vuosisadan ajan voimistelun suurtapahtumia. Niin kansalliset kuin kansainvälisetkin suurtapahtumat, kuten Gymnaestrada, ovat olleet suosittuja suomalais- voimistelijoiden keskuudessa. Tutkimuskiinnostus näitä tapahtumia ja niihin osallistuvia voi- mistelijoita kohtaan on kuitenkin ollut melkein olematonta. Tämän tutkimuksen tarkoituksena oli selvittää, miksi n…
Urheilutapahtuman vapaaehtoistyö uuden yhteisöllisyyden ilmentäjänä? : tapauksena vuoden 2003 jääkiekon MM-kisat
2004
It's Sad but I Like It The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons
2016
Emotion-related areas of the brain, such as the medial frontal cortices, amygdala, and striatum, are activated during listening to sad or happy music as well as during listening to pleasurable music. Indeed, in music, like in other arts, sad and happy emotions might co-exist and be distinct from emotions of pleasure or enjoyment. Here we aimed at discerning the neural correlates of sadness or happiness in music as opposed those related to musical enjoyment. We further investigated whether musical expertise modulates the neural activity during affective listening of music. To these aims, 13 musicians and 16 non-musicians brought to the lab their most liked and disliked musical pieces with a …
Decoding brain activities of literary metaphor comprehension: An event-related potential and EEG spectral analysis
2022
Novel metaphors in literary texts (hereinafter referred to as literary metaphors) seem to be more creative and open-ended in meaning than metaphors in non-literary texts (non-literary metaphors). However, some disagreement still exists on how literary metaphors differ from non-literary metaphors. Therefore, this study explored the neural mechanisms of literary metaphors extracted from modern Chinese poetry by using the methods of Event-Related Potentials (ERPs) and Event-Related Spectral Perturbations (ERSPs), as compared with non-literary conventional metaphors and literal expressions outside literary texts. Forty-eight subjects were recruited to make the semantic relatedness judgment afte…
From monitoring to sharing of attention in dyadic interaction: The affordances of gaze data to better understand social aspects of remote collaborati…
2020
This paper aims to better understand the social aspects of collaborative problem solving (CPS) through studying joint attention behaviour (JAB) in an online game–like environment. To capture these behaviours and exemplify how ‘jointness’ is achieved in CPS in remote dyadic interaction, event-related measures are utilised based on the following multiple interaction data: (1) individuals’ gaze data from CPS task completion and (2) automatically generated log files (i.e. chats and actions) from dyadic interactions. The results give empirical evidence of the detached, individualistic attention experiences (i.e. monitoring and common attention) and of bidirectional relations (i.e. mutual and sha…
Disability, Health-Related Quality of Life and Mortality in Lumbar Spine Fusion Patients : A 5-Year Follow-Up and Comparison With a Population Sample
2022
Study Design: Prospective follow-up study. Objectives: We aimed to assess the effect of lumbar spine fusion (LSF) on disability, health-related quality of life and mortality in a 5-year follow-up, and to compare these results with the general population. Methods: 523 consecutive LSF operations were included in a prospective follow-up. Disability was assessed by the Oswestry Disability Index (ODI), and HRQoL by the 36-item Short Form (SF-36) questionnaire using the physical and mental summary scores (PCS and MCS). The patients were compared with an age-, sex-, and residential area matched general population cohort. Results: The preoperative ODI in the patients was 46 (SD 16), and the change …
Noninvasive Ventilation in Critically Ill Patients
2015
Since its first application in the late 1980s, noninvasive ventilation (NIV) has been the first-line intervention for certain forms of acute respiratory failure. NIV may be delivered through the patient's mouth, nose, or both using noninvasive intermittent positive pressure ventilation or continuous positive airway pressure. When applied appropriately, NIV may reduce morbidity and mortality and may avert iatrogenic complications and infections associated with invasive mechanical ventilation. This article provides physicians and respiratory therapists with a comprehensive, practical guideline for using NIV in critical care. © 2015 Elsevier Inc.
Automatic image‐based identification and biomass estimation of invertebrates
2020
Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. We describe a robot-enabled image-based identificat…
The Truth is Out There : Focusing on Smaller to Guess Bigger in Image Classification
2023
In Artificial Intelligence (AI) in general and in Machine Learning (ML) in particular, which are important and integral components of modern Industry 4.0, we often deal with uncertainty, e.g., lack of complete information about the objects we are classifying, recognizing, diagnosing, etc. Traditionally, uncertainty is considered to be a problem especially in the responsible use of AI and ML tools in the smart manufacturing domain. However, in this study, we aim not to fight with but rather to benefit from the uncertainty to improve the classification performance in supervised ML. Our objective is a kind of uncertainty-driven technique to improve the performance of Convolutional Neural Netwo…