[Illustrations de Scènes et tableaux tirés d'Atala] / [Non identifié] ; Chateaubriand, aut. du texte

Comprend : [Pl. 1 en reg. p.12 :] Atala délivre Chactas. [Cote : Res m Y2 867/Microfilm R 122331] ; [Pl. 2 en reg. p.12 :] Chactas cueille un chaste baiser sur les lèvres d'Atala. [Cote : Res m Y2 867/Microfilm R 122331] ; [Pl. 3 en reg. p.12 :] Atala panse la blessure de Chactas. [Cote : Res m Y2 867/Microfilm R 122331] ; [Pl. 4 en reg. p.12 :] Le Père Aubry rencontre Atala et Chactas. [Cote : Res m Y2 867/Microfilm R 122331] ; [Pl. 5 en reg. p.12 :] Chactas dépose une Rose sur le front d'Atala endormie. [Cote : Res m Y2 867/Microfilm R 122331] ; [Pl. 6 en reg. p.12 :] La communion d'Atala. [Cote : Res m Y2 867/Microfilm R 122331]

Improving Satellite Image Based Forest Inventory by Using A Priori Site Quality Information

Summary

[Illustrations de Génie du Christianisme ou beautés de la religion chrétienne] / A.Villerey, grav. ; Dambrun, grav. [et al...]; Chateaubriand, aut. du texte

Comprend : [Tome I. Frontispice : la Foi chrétienne commandant aux Arts et aux travaux des hommes.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome I. Pl. en reg. p.110 : Chapitre XI. L'extrême-onction.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome I. Pl. en reg. p.319 : Livre V. Partie I. On se console par la douleur.] L'une apportoit son enfant mort, l'autre son enfant vivant (...) Elle mettoient ensuite leurs enfants sur une branche de catalpa, et les balançoient ensemble, en chantant des airs de leurs pays. Hélas! ces jeux maternels, qui souvent endormoient l'innocence, ne pouvoient réveiller la mort! [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome II. Pl. en reg. p.239 : Partie II. Livre IV. Les passions. Amélie décidée à rentrer au couvent.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome II. Pl. en reg. p.250 : Partie II. Livre IV. Les passions. Chateaubriand guettant la fenêtre d'Amélie au couvent.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome III. Pl. en reg. p.368 : Partie III. Livre VI. La mort d'Atala. Le Père Aubry et Chactas enterrent Atala.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome III. Pl. en reg. p.372 : Partie III. Livre VI. Chactas pleure sur la tombe d'Atala.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome IV. Pl. en reg. p.167 : Partie IV. Livre III. Chapitre VI. Vue générale du Clergé. Un moine Trappiste.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635] ; [Tome IV. Pl. en reg. p.217 : Partie IV. Livre III. Chapitre VI. Vue générale du Clergé. Un missionnaire remonte le Rio de la Plata pour évangéliser les Indiens.] [Cote : Res D 5716/Microfilm R 122368 à 122370 et R 132635]

A fast 3D approach for coronary MRA.

Two-dimensional (2D)-breath-hold coronary magnetic resonance angiography (MRA) has been shown to be a fast and reliable method to depict the proximal coronary arteries. Recent developments, however, allow for free-breathing navigator gated and navigator corrected three-dimensional (3D) coronary MRA. These 3D approaches have potential for improved signal-to-noise ratio (SNR) and allow for the acquisition of adjacent thin slices without the misregistration problems known from 2D approaches. Still, a major impediment of a 3D acquisition is the increased scan time. The purpose of this study was the implementation of a free-breathing navigator gated and corrected ultra-fast 3D coronary MRA technique, which allows for scan times of less than 5 minutes. Twelve healthy adult subjects were examined in the supine position using a navigator gated and corrected ECG triggered ultra-fast 3D interleaved gradient echo planar imaging sequence (TFE-EPI). A 3D slab, consisting of 20 slices with a reconstructed slice thickness of 1.5 mm, was acquired with free-breathing. The diastolic TFE-EPI acquisition block was preceded by a T2prep pre-pulse, a diaphragmatic navigator pulse, and a fat suppression pre-pulse. With a TR of 19 ms and an effective TE of 5.4 ms, the duration of the data acquisition window duration was 38 ms. The in-plane spatial resolution was 1.0-1.3 mm*1.5-1.9 mm. In all cases, the entire left main (LM) and extensive portions of the left anterior descending (LAD) and right coronary artery (RCA) could be visualized with an average scan time for the entire 3D-volume data set of 2:57 +/- 0:51 minutes. Average contiguous vessel length visualized was 53 +/- 11 mm (range: 42 to 75 mm) for the LAD and 84 +/- 14 mm (range: 62 to 112 mm) for the RCA. Contrast-to-noise between coronary blood and myocardium was 5.0 +/- 2.3 for the LM/LAD and 8.0 +/- 2.9 for the RCA, resulting in an excellent suppression of myocardium. We present a new approach for free-breathing 3D coronary MRA, which allows for scan times superior to corresponding 2D coronary MRA approaches, and which takes advantage of the enhanced SNR of 3D acquisitions and the post-processing benefits of thin adjacent slices. The robust image quality and the short average scanning time suggest that this approach may be useful for screening the major coronary arteries or identification of anomalous coronary arteries. J. Magn. Reson. Imaging 1999;10:821-825.

The Cave by José Saramago: Platonic image versus metaphysics

The cave by José Saramago has as a certain reference the image of the cave of book VII of Plato's Republic and, however, Saramago is not an idealistic or metaphysical writer. This article, taking advantage of the applicability with which Plato endowed his image, defends the urge to be open to the messages sent by the earth, by matter, the urge not to become prisoners in the golden caves of the Western society and, finally, the urge to find our freedom in Nature, phýsis, and not far or beyond, metá, it.

The "image" of the cave and the constant temptation to correct Plato: Benjamin Jowettt as an example

Translations of the first chapters of Book VII of Plato's Republic, in which he introduces the well-known image of the cave, eikón, reveals an astonishing and intriguing variety of interpretations of this image: "allegory", "myth", "fable", "parable", "simile" and "comparison", to cite but a few. Taking as an example the work by Benjamin Jowett, the Victorian translator of Plato, remarkable for its textual accuracy and by means of a close analysis of the terms related to the image, this paper insists on the need to neither interpret nor correct the great ideal philosopher, in this case revealing some evident contradictions that arise when this advice is not followed and pointing out the occasional use of terms extraneous to the Platonic lexicon such as "allegory".

[Illustrations de Il Petrarcha] / [Non identifié] ; Pétrarque, aut. du texte

Comprend : [Frontispice : cariatides, putti et éléments d'architecture. Aigle avec devise : Semper Eadem.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fleuron en reg. folio i ii : portraits de Pétrarque et de Laure, en bas-reliefs sur une urne antique.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Carte en reg. folio i iiiii : carte de la région de Valclusa.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. folio X ij : le triomphe de l'Amour ou Cupidon. Laure et Pétrarque.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. en reg. p.181 : le triomphe de la Chasteté.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. p.185 : le triomphe de la Mort.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. p.191 : le triomphe de la Gloire.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. en reg. p.204 : le triomphe du Temps.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. p.206 : le triomphe de la Divinité ou de l'Eternité. La Sainte Trinité, le Père, le Christ et le Saint-Esprit. Les Elus.] [Cote : Res p Yd 113/Microfilm R 13186] ; [Fig. p.216 : marque de l'imprimeur (?). Aigle et devise latine.] [Cote : Res p Yd 113/Microfilm R 13186]

Urinalysis and pre-renal acute kidney injury: time to move on.

Urinary indices are classically believed to allow differentiation of transient (or pre-renal) acute kidney injury (AKI) from persistent (or acute tubular necrosis) AKI. However, the data validating urinalysis in critically ill patients are weak. In the previous issue of Critical Care, Pons and colleagues demonstrate in a multicenter observational study that sodium and urea excretion fractions as well as urinary over plasma ratios performed poorly as diagnostic tests to separate such entities. This study confirms the limited diagnostic and prognostic ability of urine testing. Together with other studies, this study raises more fundamental questions about the value, meaning and pathophysiologic validity of the pre-renal AKI paradigm and suggests that AKI (like all other forms of organ injury) is a continuum of injury that cannot be neatly divided into functional (pre-renal or transient) or structural (acute tubular necrosis or persistent).

Public-domain software for root image analysis

In the search for high efficiency in root studies, computational systems have been developed to analyze digital images. ImageJ and Safira are public-domain systems that may be used for image analysis of washed roots. However, differences in root properties measured using ImageJ and Safira are supposed. This study compared values of root length and surface area obtained with public-domain systems with values obtained by a reference method. Root samples were collected in a banana plantation in an area of a shallower Typic Carbonatic Haplic Cambisol (CXk), and an area of a deeper Typic Haplic Ta Eutrophic Cambisol (CXve), at six depths in five replications. Root images were digitized and the systems ImageJ and Safira used to determine root length and surface area. The line-intersect method modified by Tennant was used as reference; values of root length and surface area measured with the different systems were analyzed by Pearson's correlation coefficient and compared by the confidence interval and t-test. Both systems ImageJ and Safira had positive correlation coefficients with the reference method for root length and surface area data in CXk and CXve. The correlation coefficient ranged from 0.54 to 0.80, with lowest value observed for ImageJ in the measurement of surface area of roots sampled in CXve. The IC (95 %) revealed that root length measurements with Safira did not differ from that with the reference method in CXk (-77.3 to 244.0 mm). Regarding surface area measurements, Safira did not differ from the reference method for samples collected in CXk (-530.6 to 565.8 mm²) as well as in CXve (-4231 to 612.1 mm²). However, measurements with ImageJ were different from those obtained by the reference method, underestimating length and surface area in samples collected in CXk and CXve. Both ImageJ and Safira allow an identification of increases or decreases in root length and surface area. However, Safira results for root length and surface area are closer to the results obtained with the reference method.

Predicting body weight from body measurements of pre-pubertal Ayshire heifers

Selostus: Hiehojen elopainon määrittäminen mittauksin alkukasvatusvaiheessa

Advanced Kernel Methods For Remote Sensing Image Classification

Résumé Suite aux recentes avancées technologiques, les archives d'images digitales ont connu une croissance qualitative et quantitative sans précédent. Malgré les énormes possibilités qu'elles offrent, ces avancées posent de nouvelles questions quant au traitement des masses de données saisies. Cette question est à la base de cette Thèse: les problèmes de traitement d'information digitale à très haute résolution spatiale et/ou spectrale y sont considérés en recourant à des approches d'apprentissage statistique, les méthodes à noyau. Cette Thèse étudie des problèmes de classification d'images, c'est à dire de catégorisation de pixels en un nombre réduit de classes refletant les propriétés spectrales et contextuelles des objets qu'elles représentent. L'accent est mis sur l'efficience des algorithmes, ainsi que sur leur simplicité, de manière à augmenter leur potentiel d'implementation pour les utilisateurs. De plus, le défi de cette Thèse est de rester proche des problèmes concrets des utilisateurs d'images satellite sans pour autant perdre de vue l'intéret des méthodes proposées pour le milieu du machine learning dont elles sont issues. En ce sens, ce travail joue la carte de la transdisciplinarité en maintenant un lien fort entre les deux sciences dans tous les développements proposés. Quatre modèles sont proposés: le premier répond au problème de la haute dimensionalité et de la redondance des données par un modèle optimisant les performances en classification en s'adaptant aux particularités de l'image. Ceci est rendu possible par un système de ranking des variables (les bandes) qui est optimisé en même temps que le modèle de base: ce faisant, seules les variables importantes pour résoudre le problème sont utilisées par le classifieur. Le manque d'information étiquétée et l'incertitude quant à sa pertinence pour le problème sont à la source des deux modèles suivants, basés respectivement sur l'apprentissage actif et les méthodes semi-supervisées: le premier permet d'améliorer la qualité d'un ensemble d'entraînement par interaction directe entre l'utilisateur et la machine, alors que le deuxième utilise les pixels non étiquetés pour améliorer la description des données disponibles et la robustesse du modèle. Enfin, le dernier modèle proposé considère la question plus théorique de la structure entre les outputs: l'intègration de cette source d'information, jusqu'à présent jamais considérée en télédétection, ouvre des nouveaux défis de recherche. Advanced kernel methods for remote sensing image classification Devis Tuia Institut de Géomatique et d'Analyse du Risque September 2009 Abstract The technical developments in recent years have brought the quantity and quality of digital information to an unprecedented level, as enormous archives of satellite images are available to the users. However, even if these advances open more and more possibilities in the use of digital imagery, they also rise several problems of storage and treatment. The latter is considered in this Thesis: the processing of very high spatial and spectral resolution images is treated with approaches based on data-driven algorithms relying on kernel methods. In particular, the problem of image classification, i.e. the categorization of the image's pixels into a reduced number of classes reflecting spectral and contextual properties, is studied through the different models presented. The accent is put on algorithmic efficiency and the simplicity of the approaches proposed, to avoid too complex models that would not be used by users. The major challenge of the Thesis is to remain close to concrete remote sensing problems, without losing the methodological interest from the machine learning viewpoint: in this sense, this work aims at building a bridge between the machine learning and remote sensing communities and all the models proposed have been developed keeping in mind the need for such a synergy. Four models are proposed: first, an adaptive model learning the relevant image features has been proposed to solve the problem of high dimensionality and collinearity of the image features. This model provides automatically an accurate classifier and a ranking of the relevance of the single features. The scarcity and unreliability of labeled. information were the common root of the second and third models proposed: when confronted to such problems, the user can either construct the labeled set iteratively by direct interaction with the machine or use the unlabeled data to increase robustness and quality of the description of data. Both solutions have been explored resulting into two methodological contributions, based respectively on active learning and semisupervised learning. Finally, the more theoretical issue of structured outputs has been considered in the last model, which, by integrating outputs similarity into a model, opens new challenges and opportunities for remote sensing image processing.

Altered brain mechanisms of emotion processing in pre-manifest Huntington's disease.

Huntington's disease is an inherited neurodegenerative disease that causes motor, cognitive and psychiatric impairment, including an early decline in ability to recognize emotional states in others. The pathophysiology underlying the earliest manifestations of the disease is not fully understood; the objective of our study was to clarify this. We used functional magnetic resonance imaging to investigate changes in brain mechanisms of emotion recognition in pre-manifest carriers of the abnormal Huntington's disease gene (subjects with pre-manifest Huntington's disease): 16 subjects with pre-manifest Huntington's disease and 14 control subjects underwent 1.5 tesla magnetic resonance scanning while viewing pictures of facial expressions from the Ekman and Friesen series. Disgust, anger and happiness were chosen as emotions of interest. Disgust is the emotion in which recognition deficits have most commonly been detected in Huntington's disease; anger is the emotion in which impaired recognition was detected in the largest behavioural study of emotion recognition in pre-manifest Huntington's disease to date; and happiness is a positive emotion to contrast with disgust and anger. Ekman facial expressions were also used to quantify emotion recognition accuracy outside the scanner and structural magnetic resonance imaging with voxel-based morphometry was used to assess the relationship between emotion recognition accuracy and regional grey matter volume. Emotion processing in pre-manifest Huntington's disease was associated with reduced neural activity for all three emotions in partially separable functional networks. Furthermore, the Huntington's disease-associated modulation of disgust and happiness processing was negatively correlated with genetic markers of pre-manifest disease progression in distributed, largely extrastriatal networks. The modulated disgust network included insulae, cingulate cortices, pre- and postcentral gyri, precunei, cunei, bilateral putamena, right pallidum, right thalamus, cerebellum, middle frontal, middle occipital, right superior and left inferior temporal gyri, and left superior parietal lobule. The modulated happiness network included postcentral gyri, left caudate, right cingulate cortex, right superior and inferior parietal lobules, and right superior frontal, middle temporal, middle occipital and precentral gyri. These effects were not driven merely by striatal dysfunction. We did not find equivalent associations between brain structure and emotion recognition, and the pre-manifest Huntington's disease cohort did not have a behavioural deficit in out-of-scanner emotion recognition relative to controls. In addition, we found increased neural activity in the pre-manifest subjects in response to all three emotions in frontal regions, predominantly in the middle frontal gyri. Overall, these findings suggest that pathophysiological effects of Huntington's disease may precede the development of overt clinical symptoms and detectable cerebral atrophy.