Could a satellite-based navigation system (GPS) be used to assess the physical activity of individuals on earth?

OBJECTIVES: To test whether the Global Positioning System (GPS) could be potentially useful to assess the velocity of walking and running in humans. SUBJECT: A young man was equipped with a GPS receptor while walking running and cycling at various velocity on an athletic track. The speed of displacement assessed by GPS, was compared to that directly measured by chronometry (76 tests). RESULTS: In walking and running conditions (from 2-20 km/h) as well as cycling conditions (from 20-40 km/h), there was a significant relationship between the speed assessed by GPS and that actually measured (r = 0.99, P < 0.0001) with little bias in the prediction of velocity. The overall error of prediction (s.d. of difference) averaged +/-0.8 km/h. CONCLUSION: The GPS technique appears very promising for speed assessment although the relative accuracy at walking speed is still insufficient for research purposes. It may be improved by using differential GPS measurement.

Prévalence des troubles de l'humeur dans la maladie de Parkinson traitée par stimulation cérébrale profonde [Prevalence of mood disorders in Parkinson's disease patients treated with subthalamic nucleus deep brain stimulation].

Subthalamic nucleus deep brain stimulation (STN-DBS) is a recognized treatment for advanced and severe forms of Parkinson's Disease. The procedure improves motor signs and often allows a reduction of the medication. The impact of the procedure on cognitive and neuropsychiatric signs of the disease is more debated and there is an international consensus for the need of a multidisciplinary evaluation of patients undergoing such programs, including a neuropsychiatric assessment. We present a review of the literature as well as the experience at our centre focused on the short and long term outcome on mood following STN-DBS.

Prevalence and genotyping of hepatitis C virus in blood donors in the state of Pará, Northern Brazil

Given the scarcity of epidemiological information on hepatitis C virus (HCV) infection in Northern Brazil, we determined the prevalence and genotypic frequency in blood donors in the state of Pará (PA). Blood samples from all of the blood donors at the Fundação HEMOPA (blood bank of PA) from 2004-2006 were screened for the presence of antibodies to anti-HCV and samples seroreactive to anti-HCV were further tested for HCV RNA using real-time PCR. In total, 116 HCV-RNA samples were genotyped, based on maximum likelihood phylogenetic analyses, using BioEdit, Modelgenerator, PHYML and FigTree software. The population consisted of 242,726 volunteers who donated blood from 2004-2006; the most common subgroup was males between the ages of 18-29 years old (37.30%). Within the whole group, 1,112 blood donors (0.46%) had indeterminate or positive serology; among these, 28.78% were males whose ages ranged from 18-29 years. A diagnosis of chronic HCV infection was confirmed for 304 donors (60.20% males; 66.45% were 30-49 years old), resulting in a prevalence of HCV RNA in 0.13% of the samples (304 of 242,726). HCV genotyping revealed a high frequency of genotype 1 (108/116) followed by genotype 3 (8/116). This study found HCV infection to be relatively infrequent in PA; genotype 1 was most commonly isolated. This information can help guide prevention and control policies aimed at efficient diagnosis and control measures.

Perspectives of auto-correcting lens distortions in mosaic-based underwater navigation

When unmanned underwater vehicles (UUVs) perform missions near the ocean floor, optical sensors can be used to improve local navigation. Video mosaics allow to efficiently process the images acquired by the vehicle, and also to obtain position estimates. We discuss in this paper the role of lens distortions in this context, proving that degenerate mosaics have their origin not only in the selected motion model or in registration errors, but also in the cumulative effect of radial distortion residuals. Additionally, we present results on the accuracy of different feature-based approaches for self-correction of lens distortions that may guide the choice of appropriate techniques for correcting distortions

Large-Area Photo-Mosaics Using Global Alignment and Navigation Data

Seafloor imagery is a rich source of data for the study of biological and geological processes. Among several applications, still images of the ocean floor can be used to build image composites referred to as photo-mosaics. Photo-mosaics provide a wide-area visual representation of the benthos, and enable applications as diverse as geological surveys, mapping and detection of temporal changes in the morphology of biodiversity. We present an approach for creating globally aligned photo-mosaics using 3D position estimates provided by navigation sensors available in deep water surveys. Without image registration, such navigation data does not provide enough accuracy to produce useful composite images. Results from a challenging data set of the Lucky Strike vent field at the Mid Atlantic Ridge are reported

Towards a real-time vision-based navigation system for a small-class UUV

This paper deals with the problem of navigation for an unmanned underwater vehicle (UUV) through image mosaicking. It represents a first step towards a real-time vision-based navigation system for a small-class low-cost UUV. We propose a navigation system composed by: (i) an image mosaicking module which provides velocity estimates; and (ii) an extended Kalman filter based on the hydrodynamic equation of motion, previously identified for this particular UUV. The obtained system is able to estimate the position and velocity of the robot. Moreover, it is able to deal with visual occlusions that usually appear when the sea bottom does not have enough visual features to solve the correspondence problem in a certain area of the trajectory

Infections cutanées causées par des mycobactéries à croissance rapide [Skin infections due to rapid-growing mycobacteria].

Rapid-growing mycobacteria (e.g. M. abscessus and M. chelonae) are emerging pathogens with various clinical manifestations. Among immunocompetent individuals, rapid-growing mycobacteria may be responsible of pulmonary, cutaneous, osteoarticular and postoperative infections, as well as lymphadenitis and catheter-associated infections. Among immunocompromised patients, disseminated infections are also observed. Diagnosis relies on specific microbiological investigations to confirm etiology and guide antibiotic treatment. The treatment requires a multi-disciplinary approach that includes specific long-term antibiotic treatment, surgical debridement and reduction of immunosuppression whenever possible.

Détermination per-opératoire de l'infiltration du myomètre par les carcinomes de l'endomètre: revue de l'expérience d'un centre (25 cas).

Contexte: Le consensus actuel sur les modalités de traitement des carcinomes de l'endomètre restreint les indications de lymphadénectomie pelvienne aux cas à risque de récidive élevé (©Cancer de l'endomètre, Collection Recommandations & référentiels, INCa, Boulogne-Billancourt, novembre 2010). Ce risque est évalué en combinant la biologie de la tumeur (type histologique, grade des carcinomes endométrioïdes) et le stade (degré d'infiltration du myomètre, atteinte du col). Le degré d'infiltration du myomètre peut être évalué en pré- ou per-opératoire par l'imagerie (IRM), l'examen extemporané de la pièce d'hystérectomie totale ou une combinaison de ces deux méthodes. Objectifs: Le but de ce travail était d'évaluer rétrospectivement la performance de l'examen extemporané dans l'évaluation de l'infiltration myométriale par les carcinomes de l'endomètre dans notre centre. Méthode: Les cas d'hystérectomie totale pour carcinome de l'endomètre enregistrés de 2009 à 2013 (février) (50 mois) ont été extraits du système informatique de notre Institut, les rapports d'examen analysés. Pour les 25 cas dans lesquels un examen extemporané a été réalisé, nous avons comparé l'infiltration du myomètre évaluée en per-opératoire (< 50%, > ou égal à 50%) et le stade pathologique définitif, selon la classification TNM 2009 (pT1a < 50%, pT1b > ou égal à 50%). Une infiltration > ou égale à 50% était considérée comme un résultat «positif», une infiltration < 50% comme un résultat «négatif». Résultats : Sur 25 cas, la sensibilité de l'examen extemporané était de 87,5% (6 cas pT1b sur 7 diagnostiqués lors de l'examen extemporané) et sa spécificité de 100%. La valeur prédictive négative était de 94,7% et la valeur prédictive positive de 100%. Une lymphadénectomie a été réalisée chez 10 patientes, dont 6 chez lesquelles l'examen extemporané avait montré une infiltration du myomètre > 50%. Dans ce groupe, le stade définitif était pN0 dans 66,7% et pN > 0 dans 33,3%. Discussion: Dans cette série, l'évaluation extemporanée de l'infiltration du myomètre par les carcinomes de l'endomètre avait une sensibilité de 87,5% et une spécificité de 100%. Ces résultats sont en accord avec ceux de grandes études récentes (Kumar S et al., Gynecol Oncol 2012;127:525-31). En comparaison, la performance de l'IRM dans la littérature est controversée. Conclusion: Dans cette courte série, limitée à un centre, l'examen extemporané se révèle performant pour guider le chirurgien dans les indications de lymphadénectomie pelvienne chez les patientes atteintes d'un carcinome de l'endomètre.

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasinglypopular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigationaladaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

A review of sensor fusion techniques for underwater vehicle navigation

This work provides a general description of the multi sensor data fusion concept, along with a new classification of currently used sensor fusion techniques for unmanned underwater vehicles (UUV). Unlike previous proposals that focus the classification on the sensors involved in the fusion, we propose a synthetic approach that is focused on the techniques involved in the fusion and their applications in UUV navigation. We believe that our approach is better oriented towards the development of sensor fusion systems, since a sensor fusion architecture should be first of all focused on its goals and then on the fused sensors

WMR navigation using local potential field corridors and narrow local occupancy grid perception

Path planning and control strategies applied to autonomous mobile robots should fulfil safety rules as well as achieve final goals. Trajectory planning applications should be fast and flexible to allow real time implementations as well as environment interactions. The methodology presented uses the on robot information as the meaningful data necessary to plan a narrow passage by using a corridor based on attraction potential fields that approaches the mobile robot to the final desired configuration. It employs local and dense occupancy grid perception to avoid collisions. The key goals of this research project are computational simplicity as well as the possibility of integrating this method with other methods reported by the research community. Another important aspect of this work consist in testing the proposed method by using a mobile robot with a perception system composed of a monocular camera and odometers placed on the two wheels of the differential driven motion system. Hence, visual data are used as a local horizon of perception in which trajectories without collisions are computed by satisfying final goal approaches and safety criteria