Search results for "Ink"

Modernség, progresszió, Ady Endre és az Ady-Rákosi vita : egy konfliktusos eszmetörténeti pozíció természete és következményei

2008

  This work can be placed on the borderline of literary history and the history of ideas. It aims to position the famous Hungarian poet of the early 20th century, Endre Ady, on the intellectual map of his age, and to point out his place within the relationships of literary modernity and intellectual-social progressivism; it describes the fixation, form and temporal change of the poet's unique position, and shows the human and intellectual consequences of this position, as it relates to a dispute which lasted for half a year, and only seemingly was of a literary nature. The work consists of three major parts. The first is an overview of the mainly intellectual-ideological aspect of the more …

Le Clos de Vougeot (Côte-d’Or) : nouvelles observations sur les matériaux de construction et la chronologie du bâti médiéval

2009

Mithilfe sehr unterschiedlicherMethoden hat es sich diese Arbeit vor allem zur Aufgabe gemacht, bestimmte Phasen der Baugeschichte des Clos de Vougeot zu verstehen, um die Organisation und die Entwicklungen eines Zisterzienserhofsin Hinsicht auf diesozialen und historischen Wandlungen besser zu verstehen. Diese Studie bot ebenfalls Gelegenheit, die geologischen Eigenschaften der im Clos de Vougeot eingebrachten Baumaterialien genauestens zu untersuchen und neue Erkenntnisse zum Bau dieser Gebäude zu gewinnen und zu präzisieren.

Imagen popular de la ciencia transmitida por los cómics

2007

En este trabajo nos centraremos en el análisis crítico de la imagen popular de la ciencia transmitida por los cómics existentes en el mercado (en la medida que hagan referencia al trabajo científico).

Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

2023

Funding Information: We wish to thank the reviewers and editors for the useful comments to improve the paper a lot. We thank Dr. Hiroshi Morioka for the useful discussion at the beginning of the project. L.P. was funded in part by the European Research Council (No. 678578 ). A.H. was supported by a Fellowship from CIFAR, and the Academy of Finland. The authors acknowledge the computational resources provided by the Aalto Science-IT project, and also wish to thank the Finnish Grid and Cloud Infrastructure (FGCI) for supporting this project with computational and data storage resources. | openaire: EC/H2020/678578/EU//HRMEG Resting-state magnetoencephalography (MEG) data show complex but stru…

The role of the hippocampal theta activity in classical eyeblink conditioning in rabbits

2009

Hämäläinen vai Khyamyalyaynen? : inkerinsuomalaisten paluumuuttajien nimien muutoksista

2005

Perinnöllinen etunimi – suvun arvokasta perintöä

2013

Lukemissujuvuus neljännellä luokalla : mitä taustataitoja sujuva lukeminen edellyttää?

2011

Tutkimuksen tarkoituksena oli selvittää, miten sujuvasti neljännen luokan oppilaat lukevat, ja millaisia taustataitoja sujuva lukeminen edellyttää. Tutkimukseen osallistui 85 neljännen luokan oppilasta. Oppilaat tekivät erilaisia kielellisiä ja kognitiivisia taitoja mittaavia tehtäväsarjoja, joiden tuloksia verrattiin lukemistestien tuloksiin. Lukemissujuvuuden muuttujina tutkimuksessa käytettiin sanojen ja epäsanojen lukemista sekä kahden lyhyen tekstin lukemiseen käytettyä aikaa. Tehtäväsarjojen avulla tutkittiin nopean sarjallisen nimeämisen, artikulaationopeuden, prosessointinopeuden, yleisen kykytason ja visuaalisen tunnistamisen yhteyttä lukemistesteissä menestymiseen. Tutkimusaihe on…

Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition

2018

Background Preprocessed Event-related potential (ERP) data are usually organized in multi-way tensor, in which tensor decomposition serves as a powerful tool for data processing. Due to the limitation of computation burden for multi-way data and the low algorithm performance of stability and efficiency, multi-way ERP data are conventionally reorganized into low-order tensor or matrix before further analysis. However, the reorganization may hamper mode specification and spoil the interaction information among different modes. New method In this study, we applied a fifth-order tensor decomposition to a set of fifth-order ERP data collected by exerting proprioceptive stimulus on left and right…

Signal dimension estimation in BSS models with serial dependence

2022

Many modern multivariate time series datasets contain a large amount of noise, and the first step of the data analysis is to separate the noise channels from the signals of interest. A crucial part of this dimension reduction is determining the number of signals. In this paper we approach this problem by considering a noisy latent variable time series model which comprises many popular blind source separation models. We propose a general framework for the estimation of the signal dimension that is based on testing for sub-sphericity and give examples of different tests suitable for time series settings. In the inference we rely on bootstrap null distributions. Several simulation studies are…