Search results for "project"
showing 10 items of 3466 documents
Does predictability matter? Effects of cue predictability on neurocognitive mechanisms underlying prospective memory
2015
Prospective memory (PM) represents the ability to successfully realize intentions when the appropriate moment or cue occurs. In this study, we used event-related potentials (ERPs) to explore the impact of cue predictability on the cognitive and neural mechanisms supporting PM. Participants performed an ongoing task and, simultaneously, had to remember to execute a pre-specified action when they encountered the PM cues. The occurrence of the PM cues was predictable (being signalled by a warning cue) for some participants and was completely unpredictable for others. In the predictable cue condition, the behavioural and ERP correlates of strategic monitoring were observed mainly in the ongoing…
Regional Disparities and Spatial Dependence of Bankruptcy in Spain
2021
Firm survival, bankruptcy, and turnaround are of great interest nowadays. Bankruptcy is the ultimate resource for a company to survive when it is affected by a severe decline. Thus, determinants of firm turnaround and survival in the context of bankruptcy are of interest to researchers, managers, and policy-makers. Prior turnaround literature has broadly studied firm-specific factors for turnaround success. However, location-specific factors remain relatively unstudied despite their increasing relevance. Thus, this paper aims to evaluate the existence of spatial dependence on the outcome of the bankruptcy procedure. Economic geography and business literature suggest that location matters an…
Learning from Implicit Learning Literature: Comment on Shea, Wulf, Whitacre, and Park (2001)
2003
International audience; In their analysis of complex motor skill learning, Shea, Wulf, Whitacre, and Park (2001) have overlooked one of the most robust conclusions of the experimental studies on implicit learning conducted during the last decade--namely that participants usually learn things that are different from those that the experimenter expected them to learn. We show that the available literature on implicit learning strongly suggests that the improved performance in Shea et al.'s Experiments 1 and 2 (and similar earlier experiments, e.g., Wulf & Schmidt, 1997) was due to the exploitation of regularities in the target pattern different from those on which the postexperimental intervi…
'It's like a Sentence before the Sentence' - Exploring the Pains and Possibilities of Waiting for Imprisonment
2020
This article explores the implications of the ‘imprisonment queue’ in Norway. Based on interview data (N = 200), we show that while interviewees waiting to serve their sentences enjoy certain benefits such as being able to prepare for or negotiate the terms of their imprisonment, they also suffer from uncertainty and powerlessness. The suspension of their lives while they wait hinders them in pursuing their ground projects, things that really matter to them. This peculiar phenomenon has not received attention from prison scholars generally, as well as scholars writing on Nordic Exceptionalism specifically. This article addresses that gap and poses questions about the relative mildness of th…
A GEM-TPC in twin configuration for the Super-FRS tracking of heavy ions at FAIR
2018
The GEM-TPC [1] described herein will be part of the standard beam-diagnostics equipment of the Super-FRS [2] . This chamber will provide tracking information for particle identification at rates up to 1 MHz on an event-by-event basis. The key requirements of operation for these chambers are: close to 100% tracking efficiency under conditions of high counting rate, spatial resolution below 1 mm and a superb large dynamic range covering projectiles from Z=1 up to Z=92. The current prototype consists of two GEM-TPCs inside a single vessel, which are operating independently and have electrical drift fields in opposite directions. The twin configuration is done by flipping one of the GEM-TPCs o…
Encuentro de saberes: Huellas de memoria pluriversa y descolonización de la Universidad contemporánea
2018
This paper studies the Encounter of Knowledge as a project that, by welcoming mestres and mestras of ancestral knowledge into universities, contributes to decolonize higher education, broadening its field of memory. Based on a systematization exercise, we established a theoretical dialogue with Bajtin and Bejamin. Based on the participation of four mestres -Lucely Pío, raicera del Cerrado, Mãe Lu and Tata Mutá Imé, religious leaders of Candomblé and the political leader and shaman Álvaro Tukano of the Tukano nation- we show how the project promotes in the contemporary Brazilian university a space of mnemic pluriversity, capable of activating diverse narrative planes (biographical, political…
Kierunki modernizacji sieci kolejowej
2017
Opracowanie przedstawia kierunki modernizacji sieci kolejowej Polski w latach 2003-2017. Długość sieci kolejowej w kraju ulega zmniejszeniu. Zachodzi proces likwidacji linii i zawieszenia przewozów kolejowych. W kraju modernizowane są główne linie magistralne. Na modernizację składają się: wymiana torów, przebudowa trakcji elektrycznej i wprowadzenie nowoczesnych systemów sterowania ruchem i sygnalizacji (ECTS). Przebudowie ulęgają linie kolejowe o znaczeniu tranzytowym zaliczane do europejskiego układu połączeń kolejowych w ruchu pasażerskim (umowa AGC) i towarowym (umowa AGTC). Projekty modernizacji linii kolejowych są finansowane ze środków europejskich i krajowych. Główne źródła finanso…
Application of selected supervised classification methods to bank marketing campaign
2016
Supervised classification covers a number of data mining methods based on training data. These methods have been successfully applied to solve multi-criteria complex classification problems in many domains, including economical issues. In this paper we discuss features of some supervised classification methods based on decision trees and apply them to the direct marketing campaigns data of a Portuguese banking institution. We discuss and compare the following classification methods: decision trees, bagging, boosting, and random forests. A classification problem in our approach is defined in a scenario where a bank’s clients make decisions about the activation of their deposits. The obtained…
Improving Scalable K-Means++
2021
Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means‖ type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces produced by the random projection method for the initialization. The proposed methods are scalable and can be run in parallel, which make them suitable for initializing large-scale problems. In the experiments, comparison of the proposed methods to the K-means++ and K-means‖ methods is conducted using an extensive set of reference and synthetic large-scale datasets. Concerning the latter, a novel high-dimensional clustering data generation …
Improvements and applications of the elements of prototype-based clustering
2018
Clustering or cluster analysis is an essential part of data mining, machine learning, and pattern recognition. The most popularly applied clustering methods are partitioning-based or prototype-based methods. Prototype-based clustering methods usually have easy implementability and good scalability. These methods, such as K-means clustering, have been used for different applications in various fields. On the other hand, prototype-based clustering methods are typically sensitive to initialization, and the selection of the number of clusters for knowledge discovery purposes is not straightforward. In the era of big data, in high-velocity, ever-growing datasets, which can also be erroneous, outl…