Search results for "DC"
showing 10 items of 5463 documents
Common variants at VRK2 and TCF4 conferring risk of schizophrenia
2011
To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Common sequence variants have recently joined rare structural polymorphisms as genetic factors with strong evidence for association with schizophrenia. Here we extend our previous genome-wide association study and meta-analysis (totalling 7 946 cases and 19 036 controls) by examining an expanded set of variants using an enlarged follow-up sample (up to 10 260 cases and 23 500 controls). In addition to previously reported alleles in the major histocompatibility complex region, near neurogranin (NRGN) and in an intron of transcription factor 4 (TCF4), we find two novel variants show…
The embodied self, the pattern theory of self, and the predictive mind
2018
Do we have to presuppose a self to account for human self-consciousness? If so, how should we characterize the self? These questions are discussed in the context of two alternatives, i.e., the no-self position held by \(\textit {Metzinger (2003, 2009)}\) and the claim that the only self we have to presuppose is a narrative self \(\textit {(Dennett, 1992; Schechtman, 2007; Hardcastle, 2008)}\) which is primarily an abstract entity. In contrast to these theories, I argue that we have to presuppose an embodied self, although this is not a metaphysical substance, nor an entity for which stable necessary and jointly sufficient conditions can be given. Self-consciousness results from an integrati…
La reconnaissance de son image chez l'enfant et l'animal
1992
Le problème de la reconnaissance de son image a passionné et intrigué de tout temps les psychologues de l'enfant qui ont recueilli de très nombreuses observations naturalistes. Ce problème a aussi fait l'objet de diverses recherches expérimentales qui ouvrent de nouvelles perspectives sur la manière d'aborder ce thème. On trouvera dans cet ouvrage une sélection de recherches expérimentales et une présentation de points de vue théoriques qui nous ont paru le mieux illustrer les conceptions actuelles des psychologues sur ce thème. Les principales contributions de la psychologie de langue française à l'étude du problème de la reconnaissance de soi, tant d'un point de vue théorique que expérime…
Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning
2014
International audience; Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using only…
Looking ahead in games research
2021
This thematic issue presents a number of emerging scholarships into the study of digital gaming. The articles are based on a 2019 symposium on game studies hosted by the Digital Games Research section of ECREA. As the phenomena related to digital gaming keep on evolving and emerging, so must research keep up with the times and constantly challenge itself. Whether speaking about validating previously developed research methods, imagining totally new ones, or even challenging the whole philosophy of science on which research is being done, there is a constant need for reappraisal and introspection within games research. As a cultural medium that has become deeply embedded into the social fabr…
The hidden burden of severe asthma: from patient perspective to new opportunities for clinicians
2020
Severe asthma is an important topic in respiratory diseases, due to its high impact on morbidity and mortality as well as on health-care resources. The many challenges that still exist in the management of the most difficult-to-treat forms of the disease, and the acknowledgement of the existence of unexplored areas in the pathophysiological mechanisms and the therapeutic targets represent an opportunity to gather experts in the field with the immediate goals to summarize current understanding about the natural history of severe asthma and to identify gaps in knowledge and research opportunities, with the aim to contribute to improved medical care and health outcomes. This article is a conse…
Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory
2021
The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…
Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer
2021
The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e., emulation. While emulators emerged as fast surrogate models of simulators, the accuracy-speedup trade-offs are still to be analyzed when the emulation concept is applied to experimental data. We evaluated the possibility of approximating the SFM-like SIF output directly based…
Self-employment duration in urban and rural locations
2009
Previous research has shown that local environment is important for self-employment. Self-employment dynamics varies between areas characterized by different labour market conditions, entrepreneurial tradition and other structural factors. Alternation between different labour market states (self-employment, paid-employment, non-employment) is also likely to increase if employment opportunities remain low in local labour market markets. This paper analyses the factors influencing the duration of self-employment spells in Finland with a large registered-based data set from the period of 1987-2002. It is evident that rates of exit out of self-employment and the length of self-employment spells…
A Multi-Projector Calibration Method for Virtual Reality Simulators with Analytically Defined Screens
2017
The geometric calibration of projectors is a demanding task, particularly for the industry of virtual reality simulators. Different methods have been developed during the last decades to retrieve the intrinsic and extrinsic parameters of projectors, most of them being based on planar homographies and some requiring an extended calibration process. The aim of our research work is to design a fast and user-friendly method to provide multi-projector calibration on analytically defined screens, where a sample is shown for a virtual reality Formula 1 simulator that has a cylindrical screen. The proposed method results from the combination of surveying, photogrammetry and image processing approac…