196,325 research outputs found
È possibile oggi la filosofia? : lezioni al Collège de France 1958-1959 e 1960-1961
No full textTraduttori: A. Pinotti per il corso 1958-1959 (“La filosofia oggi”) e relative Appendici pp. 1-143, F. Paracchini per il corso 1960-1961 (“L’ontologia cartesiana e l’ontologia d’oggi”) e dell’“Abbozzo di una redazione” pp. 145-28
Dissection of genetic associations with language-related traits in population-based cohorts
No full textThe author was supported by the Wellcome Trust [076566/Z/05/Z]; [075491/Z/04] and the Medical Research Council [G0800523/86473].Recent advances in the field of language-related disorders have led to the identification of candidate genes for specific language impairment (SLI) and dyslexia. Replication studies have been conducted in independent samples including population-based cohorts, which can be characterised for a large number of relevant cognitive measures. The availability of a wide range of phenotypes allows us to not only identify the most suitable traits for replication of genetic association but also to refine the associated cognitive trait. In addition, it is possible to test for pleiotropic effects across multiple phenotypes which could explain the extensive comorbidity observed across SLI, dyslexia and other neurodevelopmental disorders. The availability of genome-wide genotype data for such cohorts will facilitate this kind of analysis but important issues, such as multiple test corrections, have to be taken into account considering that small effect sizes are expected to underlie such associations.Peer reviewe
Evoluzione e prospettive nel settore dei GIS: l'integrazione con le tecniche di telerilevamento
No full textPF-CNR "RAISA", Sottoprogetto 1, Area Problema 1.3, pubblicazione 306
FAST AND RELIABLE FACIAL LANDMARKS LOCALIZATION IN NON FRONTAL IMAGES
No full textThe goal of this paper is to introduce a pipeline able to precisely and rapidly localize a set of facial landmarks on a face image. The proposed method is also able to estimate the pose of the face portrayed on the image independently from its orientation and it is robust to partial occlusions. This method is based on an optimized version of Part Mixture Model, it is able to fit a facial landmarks configuration to faces dealing with out-of-plane rotations and is suitable for real time processing. Moreover, the proposed method also uses a double scale approach to speed up the pose estimation phase and a posteriori configuration regularization based on Principal Component Analysis (PCA)
Visual Odometry from Omnidirectional Images for Intelligent Transportation
No full textIn this article we use omnidirectional images obtained from equirectangular panoramas of Google MapsTM to estimate camera egomotion. The systems was also tested using a 360 camera. The goal is to provide an effective and accurate positioning system for indoor environments or in urban canyons where GPS signal could be absent. We reformulated classical Computer Vision geometrical constraints for pin-hole cameras, like epipolar and trifocal tensor, to omnidirectional cameras obtaining new and effective equations to accurately reconstruct the camera path using couples or triplets of omnidirectional images. Tests have been performed on straight and curved paths to validate the presented approaches
The capacity of periodontal gel to occupy the spaces inside the periodontal pockets using computational fluid dynamic
No full textThe aim of the current work is to demonstrate the capacity of a new periodontal gel to occupy the spaces inside the periodontal pockets through Computational Fluid Dynamic (CFD). The test gel consists of two resorbable medical grade polymers (PEO, Poly Ethylen Oxide and HPMC, Hydroxy Propyl Metyl Cellulose), Type I Collagen, SAP (Vitamin C), and PBS (Saline Solution), while the control gel is 14% doxyclin controlled release gel, which is used for treating periodontal pockets with probing ≥5 mm after scaling and root plaining. The study examined the fluid dynamic analysis (Computational Fluid Dynamic-CFD) of two different gels, used in dentistry to treat periodontitis, in relation to both the geometry of the periodontal pocket and the function of two different types of needles that are used to distribute the preparation. The periodontal pocket was determined by reading DICOM images taken from the patient's CAT scan. The results show that the H42® gel comes out uniformly compared to the other gel. Moreover, it is possible to observe how the rheological properties of the gel allow the fluid to spread evenly within the periodontal pocket in relation to the geometry of the needle. In particular, H42® gel exits in a constant way both from the first and the second exit. In fact, it was observed that by changing the geometry of the needle or the type of periodontal gel, the distribution of the gel inside the pocket was no longer homogeneous. Thus, having the correct rheological properties and correct needle geometries both speeds up the gel and optimizes the pressure distribution. Currently, the literature is still lacking, therefore further studies will be needed to confirm these results
Preparation, structural characterization and electrical conductivity of BiSrY1−xCexCuO5+y
No full text
Hyperspectral X-ray denoising: Model-based and data-driven solutions
No full textIn this paper we deal with the problem of hyperspectral X-Ray image denoising. In particular, we compare a classical model-based Wiener filter solution with a data-driven methodology based on a Convolutional Autoencoder. A challenging aspect is related to the specific kind of 2D signal we are processing: it presents mixed dimensions information since on the vertical axis there is the pixels position while, on the abscissa, there are the different wavelengths associated to the acquired X-Ray spectrum. The goal is to approximate the denoising function using a learning-from-data approach and to verify its capability to emulate the Wiener filter using a much less demanding approach in terms of signal and noise statistical knowledge. We show that, after training, the CNN is able to properly restore the 2D signal with results very close to the Wiener filter, honouring the proper signal shape
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