Search results for "Ink"
showing 10 items of 4279 documents
Kehittyvä, kansainvälistyvä, kaupallistuva ja kommunikoiva matkailu-Suomi : tiedusteluretki itsenäisen Suomen matkailuelinkeinojen alkutaipaleeseen e…
1996
Musiikki ihmisten yhdistäjänä ja erottajana : näkökulmina musiikkimaku sekä musiikillinen identiteetti
2012
Sanotaan, että makumieltymyksiä on yhtä paljon kuin ihmisiäkin. Kaikkien maussa löytyy sekä omia erityispiirteitä että yhteneviä ajatuksia muiden kanssa. Halusin selvittää sitä, miten ihmisten makumieltymykset muodostuvat ja miten ne eroavat toisistaan. Miten habitus ja identiteetti liittyvät musiikkiin? Toimiiko musiikki ihmisten erottajana mutta samalla myös yhdistäjänä? Herättääkö musiikki tunteita ja jos niin millaisia? Näihin jokaiseen kysymykseen pyrin löytämään vastauksen kirja- sekä haastatteluaineiston avulla. Valitsin aiheeksi musiikin, sillä se koskettaa ja kiinnosta minua paljon. Halusin myös tuoda tämän tutkimuksen sosiologian kentälle, sillä vastaavia töitä saisi alallani olla…
Modeling the atomic and electronic structure of nanoparticle-ligand interfaces
2013
Failure Rate, Marginal Bone Loss, and Pink Esthetic with Socket-Shield Technique for Immediate Dental Implant Placement in the Esthetic Zone. A Syste…
2021
Simple Summary The socket-shield technique has been proposed for preserving the bone ridge and surrounding soft tissues with immediate implantation in the extraction socket, maintaining the buccal wall fragment of the dental root. However, the socket-shield technique has not been compared with the conventional technique for immediate dental implant placement in the esthetic zone regarding the failure rate, marginal bone loss, and pink esthetic. Therefore, it is necessary to develop a systematic review and meta-analysis that provides evidence associated with the prognosis when using the socket-shield technique compared to the conventional technique. Abstract Aim: To compare the failure rate,…
Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition
2021
AbstractPrevious researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Cortical electroencephalography (EEG) oscillations act as coordinators to connect different brain regions, and various assemblies of oscillations can form different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of EEG oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli…
Change in body image among depressed adult outpatients after a dance movement therapy group treatment
2018
Abstract This study reports on the body image of depressed psychiatric outpatients, and the impact thereon of a dance movement therapy (DMT) group. Body image is perceived as a tri-partite construct consisting of image-properties, body-self, and body memory. Depressed patients in an outpatient mental health service participated in a DMT group treatment consisting of twelve 90-min long sessions in groups of 4–7 patients. Patients (N = 18) responded to a structured Body Image Assessment (BIA) before and after the treatment. Initially, the depressed patients’ body image was characterized by fragmentation, distortions, and shallowness of body awareness. The DMT group treatment aimed to offer th…
Personality Traits and Changes in Health Behaviors and Depressive Symptoms during the COVID-19 Pandemic: A Longitudinal Analysis from Pre-pandemic to…
2021
The COVID-19 pandemic and social distancing measures targeting the transmission of the virus impacted everyday life in 2020. This study investigated pre- to in-pandemic changes in health behaviors and depressive symptoms during the COVID-19 pandemic and the role of personality traits in these changes in Finland. Data from a larger population-based cohort study of 51–59-year-old Finnish women were used (n = 358). Self-reported questionnaires gathered information about depressive symptoms, eating behavior, physical activity, and alcohol consumption before the pandemic time, at the onset, and at the end of the COVID-19 emergency conditions. Information about personality traits (extraversion an…
Lukiolaisten masentuneisuus, koettu avuntarve, tyytyväisyys opiskeluterveydenhuoltoon ja sen käyttö : Uudenmaan ja Pohjanmaan maakuntien, suomen- ja …
2011
Lukiolaisten masentuneisuus, koettu avuntarve, tyytyväisyys opiskeluterveydenhuoltoon ja sen käyttö - Uudenmaan ja Pohjanmaan maakuntien, suomen- ja ruotsinkielisten kieliryhmien ja sukupuolten vertailua Elina Kangas Terveyskasvatuksen pro gradu –tutkielma Jyväskylän yliopisto, Liikunta- ja terveystieteiden tiedekunta, Terveystieteiden laitos Kevät 2011 134 sivua, 2 liitettä Ohjaaja: LitT Jorma Tynjälä Tässä tutkimuksessa tarkasteltiin kieliryhmittäin Uudenmaan ja Pohjanmaan alueilla lukiolaisten masennusoireilun esiintyvyyttä, koettua avuntarvetta, opiskeluterveydenhuollon palvelujen käyttöä ja tyytyväisyyttä näihin palveluihin. Tutkimusaineistona käytettiin kouluterveyskyselyjä vuosilta 2…
Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization
2021
Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder (MDD) patients and healthy controls (HC) when freely listening to music. Constrained tensor factorization not only preserve…
Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression
2021
To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…