De la Tartarie à l'Asie centrale : le coeur d'un continent dans l'histoire des idées entre la cartographie et la géopolitique

Résumé: Relevant du domaine des représentations, cette thèse porte sur la reconstitution du processus relatif à l'invention des notions liées au «coeur du continent » asiatique, distinguant deux phases: avant et après l'apparition de la dénomination Asie centrale. Partant de l'idée que dans le processus de création de cet objet d'investigation deux actes restent primordiaux - le découpage d'un continuum géographique et culturel et la nomination des parties extraites cette étude cherche à reconstituer selon quels critères et en fonction de quelles justifications et de quels arguments, il a été possible de parvenir, via des mots, à créer les notions centre-asiatiques, afin de faire valoir des «choses» en les représentant verbalement ou graphiquement comme réelles. Cette optique invite, dans une perspective d'histoire des sciences, à travers des images changeantes, à interroger l'Asie centrale en tant qu'objet d'étude, tel qu'il a été historiquement inventé, construit et représenté par les voyageurs et les scientifiques, sans négliger l'analyse du processus politique qui a réussi à insérer des lignes-frontières dans cet espace. Cette investigation aidera à mieux comprendre le sens épistémologique des expressions relatives à l'Asie centrale, souvent imprégnées d'une vision eurocentriste, lors de la progression des connaissances sur la région, en faisant revivre des courants de pensées multiples afin de pouvoir saisir la logique du développement des idées et comprendre quel rôle ces limites centre-asiatiques inventées, qui ne sont que la codification temporelle de certaines données, jouent dans les investigations scientifiques. Abstract: This dissertation proposes a reconstitution of the process of construction of the concepts relating to the Asia's «Heart of the Continent». It is divided into two parts: I: before the invention of the Central. Asia concept, from Antiquity until nineteenth century; II: the notion after this event. The study is mainly devoted to an epistemologic analysis of the arguments used during the delineation and the designation of this space

Medical geography and phthisic immunity in the high altitudes: The origins of a Therapeutic hypothesis

Medical geography expanded considerably in the 19 th century. Its expansion was aided by a Neo-Hippocratic trend in medical thinking, progress in statistics and hygiene, and an overall vision of geography formulated early in the century by French and German geographers inspired by Alexander von Humboldt. By tracing out the process that prompted certain « doctor-geographers » to put forth the hypothesis of immunity phthisis in elevated regions, this article seeks to show how various trends in medical geography led to the establishment of the « altitude cure » as a treatment for tuberculosis.

Automatic Mapping and Classification of Spatial Environmental Data

The paper deals with the development and application of the generic methodology for automatic processing (mapping and classification) of environmental data. General Regression Neural Network (GRNN) is considered in detail and is proposed as an efficient tool to solve the problem of spatial data mapping (regression). The Probabilistic Neural Network (PNN) is considered as an automatic tool for spatial classifications. The automatic tuning of isotropic and anisotropic GRNN/PNN models using cross-validation procedure is presented. Results are compared with the k-Nearest-Neighbours (k-NN) interpolation algorithm using independent validation data set. Real case studies are based on decision-oriented mapping and classification of radioactively contaminated territories.

Enhanced-reality video fluorescence: a real-time assessment of intestinal viability.

OBJECTIVE: Our aim was to evaluate a fluorescence-based enhanced-reality system to assess intestinal viability in a laparoscopic mesenteric ischemia model. MATERIALS AND METHODS: A small bowel loop was exposed, and 3 to 4 mesenteric vessels were clipped in 6 pigs. Indocyanine green (ICG) was administered intravenously 15 minutes later. The bowel was illuminated with an incoherent light source laparoscope (D-light-P, KarlStorz). The ICG fluorescence signal was analyzed with Ad Hoc imaging software (VR-RENDER), which provides a digital perfusion cartography that was superimposed to the intraoperative laparoscopic image [augmented reality (AR) synthesis]. Five regions of interest (ROIs) were marked under AR guidance (1, 2a-2b, 3a-3b corresponding to the ischemic, marginal, and vascularized zones, respectively). One hour later, capillary blood samples were obtained by puncturing the bowel serosa at the identified ROIs and lactates were measured using the EDGE analyzer. A surgical biopsy of each intestinal ROI was sent for mitochondrial respiratory rate assessment and for metabolites quantification. RESULTS: Mean capillary lactate levels were 3.98 (SD = 1.91) versus 1.05 (SD = 0.46) versus 0.74 (SD = 0.34) mmol/L at ROI 1 versus 2a-2b (P = 0.0001) versus 3a-3b (P = 0.0001), respectively. Mean maximal mitochondrial respiratory rate was 104.4 (±21.58) pmolO2/second/mg at the ROI 1 versus 191.1 ± 14.48 (2b, P = 0.03) versus 180.4 ± 16.71 (3a, P = 0.02) versus 199.2 ± 25.21 (3b, P = 0.02). Alanine, choline, ethanolamine, glucose, lactate, myoinositol, phosphocholine, sylloinositol, and valine showed statistically significant different concentrations between ischemic and nonischemic segments. CONCLUSIONS: Fluorescence-based AR may effectively detect the boundary between the ischemic and the vascularized zones in this experimental model.

Morphing Romania and Moldova Province

"Morphing Romania and the Moldova Province" gives a short insight of cartograms. Digital cartograms provide potential to move away from classical visualization of geographical data and benefit of new understanding of our world. They introduce a human vision instead of a planimetric one. By applying the Gastner-Newman algorithm for generating density-equalising cartograms to Romania and its Moldova province we can discuss the making of cartograms in general.

Automatic Decision-Oriented Mapping of Pollution Data

The paper deals with the development and application of the methodology for automatic mapping of pollution/contamination data. General Regression Neural Network (GRNN) is considered in detail and is proposed as an efficient tool to solve this problem. The automatic tuning of isotropic and an anisotropic GRNN model using cross-validation procedure is presented. Results are compared with k-nearest-neighbours interpolation algorithm using independent validation data set. Quality of mapping is controlled by the analysis of raw data and the residuals using variography. Maps of probabilities of exceeding a given decision level and ?thick? isoline visualization of the uncertainties are presented as examples of decision-oriented mapping. Real case study is based on mapping of radioactively contaminated territories.