Integration of ground-penetrating radar and microgravimetric methods to map shallow caves

Ground-penetrating radar (GPR) and microgravimetric surveys have been conducted in the southern Jura mountains of western Switzerland in order to map subsurface karstic features. The study site, La Grande Rolaz cave, is an extensive system in which many portions have been mapped. By using small station spacing and careful processing for the geophysical data, and by modeling these data with topographic information from within the cave, accurate interpretations have been achieved. The constraints on the interpreted geologic models are better when combining the geophysical methods than when using only one of the methods, despite the general limitations of two-dimensional (2D) profiling. For example, microgravimetry can complement GPR methods for accurately delineating a shallow cave section approximately 10 X 10 mt in size. Conversely, GPR methods can be complementary in determining cavity depths and in verifying the presence of off-line features and numerous areas of small cavities and fractures, which may be difficult to resolve in microgravimetric data.

Pharmaceutical care in an inpatient pediatric intensive care unit: an international multicentric study

Introduction Pediatric intensive care patient represent a population athigh risk for drug-related problems. Our objective is to describe drugrelated problems and intervention of four decentralized pharmacists inpediatric and cardiac intensive care unit.Materials & Methods Multicentric, descriptive and prospectivestudy over a six-month period (August 1st 2009-January 31st 2010).Drug-related problems and clinical interventions were compiled infour pediatric centers using a tool developed by the Socie´te´ Franc¸aisede Pharmacie Clinique. Data concerning patients, drugs, intervention,documentation, approval (if needed), and estimated impact werecompiled. The four pharmacists participating were from Belgium (B),France (F), Quebec (Q) and Switzerland (S).Results A total of 996 interventions were collected: 129 (13%) in B,238 (24%) in F, 278 (28%) in Q and 351 (35%) in S. These interventionstargeted 269 patients (median 22 month-old, 52% male): 69(26%) in B, 88 (33%) in F, 56 (21%) in Q and in S. These data werecollected during 28 non consecutive days in the clinical unit in B, 59days in F, 42 days in Q and 63 days in S. The main drug-relatedproblems were inappropriate administration technique (293, 29%),untreated indication (254, 25%) and supra therapeutic dosage (106,11%). The pharmacist's interventions concerned mainly administrationmode optimization (223, 22%), dose adjustment (200, 20%) andtherapeutic monitoring (164, 16%). The three major drug classesleading to interventions were anti-infectives for systemic use (233,23%) and alimentary tract and metabolism drugs (218, 22%). Interventionsconcerned mainly residents and all clinical staff (209, 21%).Among the 879 (88%) interventions requiring a physician's approval,731 (83%) were accepted. Interventions were considered as having amoderate (51%) or major (17%) clinical impact. Among the interventionsprovided, 10% were considered to have an economicalpositive impact. Differences and similarities between countries willbe presented at the poster session.Discussion & Conclusion Decentralized pharmacist at patient bedsideis a pre-requisite for pharmaceutical care. There are limitedstudies comparing the activity of clinical pharmacists betweencountries. This descriptive study illustrates the ability of clinicalpharmacist to identify and solve drug-related problems in pediatricintensive care unit in four different francophone countries.

Selection methods regulate evolution of cooperation in digital evolution.

A key, yet often neglected, component of digital evolution and evolutionary models is the 'selection method' which assigns fitness (number of offspring) to individuals based on their performance scores (efficiency in performing tasks). Here, we study with formal analysis and numerical experiments the evolution of cooperation under the five most common selection methods (proportionate, rank, truncation-proportionate, truncation-uniform and tournament). We consider related individuals engaging in a Prisoner's Dilemma game where individuals can either cooperate or defect. A cooperator pays a cost, whereas its partner receives a benefit, which affect their performance scores. These performance scores are translated into fitness by one of the five selection methods. We show that cooperation is positively associated with the relatedness between individuals under all selection methods. By contrast, the change in the performance benefit of cooperation affects the populations' average level of cooperation only under the proportionate methods. We also demonstrate that the truncation and tournament methods may introduce negative frequency-dependence and lead to the evolution of polymorphic populations. Using the example of the evolution of cooperation, we show that the choice of selection method, though it is often marginalized, can considerably affect the evolutionary dynamics.

Cross validation of experts versus registration methods for target localization in deep brain stimulation.

In the last five years, Deep Brain Stimulation (DBS) has become the most popular and effective surgical technique for the treatent of Parkinson's disease (PD). The Subthalamic Nucleus (STN) is the usual target involved when applying DBS. Unfortunately, the STN is in general not visible in common medical imaging modalities. Therefore, atlas-based segmentation is commonly considered to locate it in the images. In this paper, we propose a scheme that allows both, to perform a comparison between different registration algorithms and to evaluate their ability to locate the STN automatically. Using this scheme we can evaluate the expert variability against the error of the algorithms and we demonstrate that automatic STN location is possible and as accurate as the methods currently used.

Nouvelles méthodes pour le diagnostic des infections liées aux implants [New methods for the diagnosis of implant-associated infections]

For successful treatment of prosthetic joint infection, the identification of the infecting microorganism is crucial. Cultures of synovial fluid and intraoperative periprosthetic tissue represent the standard method for diagnosing prosthetic joint infection. Rapid and accurate diagnostic tools which can detect a broad range of causing microorganisms and their antimicrobial resistance are increasingly needed. With newer diagnostic techniques, such as sonication of removed implants, microcalorimetry, molecular methods and mass spectrometry, the sensitivity has been significantly increased. In this article, we describe the conventional and newer diagnostic techniques with their advantages and potential future applications.