975 resultados para Intelligent Virtual Agents


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T O THE E DITOR-Besides viruses, Mycoplasma pneumoniae and Chlamydia pneumoniae are common causes of community-acquired respiratory infections (CARI) in children. However, the causal agent of CARI remains unknown in many cases [ 1]. Growing evidence suggests that Chlamydia-related bacteria might have a pathogenic role in humans [ 2, 3]. Parachlamydia acanthamoebae and Protochlamydia naegleriophila have been detected in respiratory clinical samples [ 4, 5], and the role of Parachlamydia acanthamoebae in pneumonia is supported by in vitro studies and animal models [ 6]. Rhabdochlamydia crassificans and Rhabdochlamydia porcellionis are intracellular pathogens of arthropods that also belong to the Chlamydiales order [ 7, 8]. A recent analysis suggests that Rhabdochlamydia species might affect morbidity and mortality in premature newborns [ 9], but their role ...

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CMS (Sistema Gestor de Continguts) és una tecnologia en ple auge que permet implantar solucions web d'una manera senzilla, econòmica i amb un fàcil manteniment per part dels usuaris que en fan ús. Aquest projecte és un estudi que pretén analitzar i escollir el millor CMS dirigit a comerç electrònic d'entre el ventall existent actualment al mercat, creant un document que serveixi de referent o guia a qualsevol persona interessada en implantar un sistema d'aquestes característiques. A més, es centrarà a la programació d'un component instal·lable pel CMS escollit que permeti introduir-nos a la creació d'extensions i ens formi en l'àmbit de la programació web. Aquest component el podrem afegir al CMS i permetrà realitzar compres escanejant codis amb el telèfon mòbil.

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Con este TFM se muestra un laboratorio virtual de química a través de diversos experimentos para la preparación de disoluciones en función de sus expresiones de concentración.

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Treball de creació d'una aplicació per a dispositiu mòbil amb sistema operatiu Android que incorpora intel·ligència artificial per permetre a l'usuari el reconeixement d'espècies d'aus de Catalunya.

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BACKGROUND: "Virtual" autopsy by postmortem computed tomography (PMCT) can replace medical autopsy to a certain extent but has limitations for cardiovascular diseases. These limitations might be overcome by adding multiphase PMCT angiography. OBJECTIVE: To compare virtual autopsy by multiphase PMCT angiography with medical autopsy. DESIGN: Prospective cohort study. (ClinicalTrials.gov: NCT01541995) SETTING: Single-center study at the University Medical Center Hamburg-Eppendorf, Hamburg, Germany, between 1 April 2012 and 31 March 2013. PATIENTS: Hospitalized patients who died unexpectedly or within 48 hours of an event necessitating cardiopulmonary resuscitation. MEASUREMENTS: Diagnoses from clinical records were compared with findings from both types of autopsy. New diagnoses identified by autopsy were classified as major or minor, depending on whether they would have altered clinical management. RESULTS: Of 143 eligible patients, 50 (35%) had virtual and medical autopsy. Virtual autopsy confirmed 93% of all 336 diagnoses identified from antemortem medical records, and medical autopsy confirmed 80%. In addition, virtual and medical autopsy identified 16 new major and 238 new minor diagnoses. Seventy-three of the virtual autopsy diagnoses, including 32 cases of coronary artery stenosis, were identified solely by multiphase PMCT angiography. Of the 114 clinical diagnoses classified as cardiovascular, 110 were confirmed by virtual autopsy and 107 by medical autopsy. In 11 cases, multiphase PMCT angiography showed "unspecific filling defects," which were not reported by medical autopsy. LIMITATION: These results come from a single center with concerted interest and expertise in postmortem imaging; further studies are thus needed for generalization. CONCLUSION: In cases of unexpected death, the addition of multiphase PMCT angiography increases the value of virtual autopsy, making it a feasible alternative for quality control and identification of diagnoses traditionally made by medical autopsy. PRIMARY FUNDING SOURCE: University Medical Center Hamburg-Eppendorf.

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Com o crescimento do mercado de dispositivos móveis e uma previsão de aumento significativo do turismo em São Vicente, este trabalho apresenta a conceção e o desenvolvimento de uma aplicação Android para prover e gerir roteiros turísticos a partir de uma abordagem distribuída com o armazenamento de dados na nuvem com a plataforma virtual. O aumento dos turistas na cidade promoverá o turismo regional e a visitação aos pontos turísticos da cidade do Mindelo. A dificuldade na localização dos pontos turísticos pode ser um problema para os turistas, devido à falta de informações, sinalizações e de serviços para atender a demanda. O uso de aplicações para dispositivos móveis vai ao encontro desta necessidade, permitindo o desenvolvimento de inúmeras aplicações turísticas. Neste contexto, este trabalho apresenta o estudo e o desenvolvimento de uma aplicação para dispositivos móveis, com sistema operativo Android, que serve como a informação virtual da cidade do Mindelo. Por meio da aplicação o turista pode se localizar no mapa, permite buscar rapidamente os pontos turísticos, ver o itinerário da linha do turismo, seus pontos de paragem e obter informações detalhadas de cada ponto turístico. Esta aplicação utiliza sistemas de localização geográfica, mapas, comunicação de dados e base de dados.

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BACKGROUND: Virtual reality (VR) simulators are widely used to familiarize surgical novices with laparoscopy, but VR training methods differ in efficacy. In the present trial, self-controlled basic VR training (SC-training) was tested against training based on peer-group-derived benchmarks (PGD-training). METHODS: First, novice laparoscopic residents were randomized into a SC group (n = 34), and a group using PGD-benchmarks (n = 34) for basic laparoscopic training. After completing basic training, both groups performed 60 VR laparoscopic cholecystectomies for performance analysis. Primary endpoints were simulator metrics; secondary endpoints were program adherence, trainee motivation, and training efficacy. RESULTS: Altogether, 66 residents completed basic training, and 3,837 of 3,960 (96.8 %) cholecystectomies were available for analysis. Course adherence was good, with only two dropouts, both in the SC-group. The PGD-group spent more time and repetitions in basic training until the benchmarks were reached and subsequently showed better performance in the readout cholecystectomies: Median time (gallbladder extraction) showed significant differences of 520 s (IQR 354-738 s) in SC-training versus 390 s (IQR 278-536 s) in the PGD-group (p < 0.001) and 215 s (IQR 175-276 s) in experts, respectively. Path length of the right instrument also showed significant differences, again with the PGD-training group being more efficient. CONCLUSIONS: Basic VR laparoscopic training based on PGD benchmarks with external assessment is superior to SC training, resulting in higher trainee motivation and better performance in simulated laparoscopic cholecystectomies. We recommend such a basic course based on PGD benchmarks before advancing to more elaborate VR training.

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This work describes the characteristics of a representative set of seven different virtual laboratories (VLs) aimed for science teaching in secondary school. For this purpose, a 27-item evaluation model that facilitates the characterization of the VLs was prepared. The model takes into account the gaming features, the overall usability, and also the potential to induce scientific literacy. Five of the seven VLs were then tested with two larger and highly heterogenic groups of students, and in two different contexts – biotechnology and physics, respectively. It is described how the VLs were received by the students, taking into account both their motivation and their self-reported learning outcome. In some cases, students’ approach to work with the VLs was recorded digitally, and analyzed qualitatively. In general, the students enjoyed the VL activities, and claimed that they learned from them. Yet, more investigation is required to address the effectiveness of these tools for significant learning.

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In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences and which agents are better adapted to the environment. These aspects are included in the decision making process. Agent interactions are modelled using the concept of an ecosystem in which each robot is a species, resulting in emergent behaviour of the whole set of agents. One of the most important features of this approach is its high adaptability. Unlike some other learning techniques, this approach does not need to start a whole exploitation process when the environment changes. All this is exemplified by means of experiments run on a simulator. In addition, the algorithm developed was applied as applied to several teams of robots in order to analyse the impact of heterogeneity in these systems

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Between 2007 and 2009, aggressions by security agents of nightclubs on clients increased from 6% to 10% among community violence situations encountered at the Violence Medical Unit (VMU) at the Lausanne University Hospital in Switzerland. Most victims were young men who had been drinking alcohol before the assault. About one quarter (25.7%) presented with one or several fractures, all of them in the head area. (For more details, refer to the previous article "When nightclub security agents assault clients" published in 2012(1).) Following this first study, we performed a second qualitative study in order to bring more information about the context and highlight victims' behaviors and experiences. Four themes emerged: how the assault began; the assault itself; third-party involvement; and the psychological state of victims when they consulted the VMU. The findings of this second study complemented the statistical results of the first study by showing under what circumstances security agents of nightclubs respond with physical violence to situations they consider a threat to security. Furthermore, the study described consequences for the victims that could be quite serious. Our findings support the need for nightclubs to improve selection and training of security staff.

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Peroxisome proliferator-activated receptors (PPARs) are nuclear hormone receptors controlling the expression of genes involved in lipid homeostasis. PPARs activate gene transcription in response to a variety of compounds including hypolipidemic drugs as well as natural fatty acids. From the plethora of PPAR activators, Scatchard analysis of receptor-ligand interactions has thus far identified only four ligands. These are the chemotactic agent leukotriene B4 and the hypolipidemic drug Wy 14,643 for the alpha-subtype and a prostaglandin J2 metabolite and synthetic antidiabetic thiazolidinediones for the gamma-subtype. Based on the hypothesis that ligand binding to PPAR would induce interactions of the receptor with transcriptional coactivators, we have developed a novel ligand sensor assay, termed coactivator-dependent receptor ligand assay (CARLA). With CARLA we have screened several natural and synthetic candidate ligands and have identified naturally occurring fatty acids and metabolites as well as hypolipidemic drugs as bona fide ligands of the three PPAR subtypes from Xenopus laevis. Our results suggest that PPARs, by their ability to interact with a number of structurally diverse compounds, have acquired unique ligand-binding properties among the superfamily of nuclear receptors that are compatible with their biological activity.

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The treatment of multiple myeloma has undergone significant changes in the recent past. The arrival of novel agents, especially thalidomide, bortezomib and lenalidomide, has expanded treatment options and patient outcomes are improving significantly. This article summarises the discussions of an expert meeting which was held to debate current treatment practices for multiple myeloma in Switzerland concerning the role of the novel agents and to provide recommendations for their use in different treatment stages based on currently available clinical data. Novel agent combinations for the treatment of newly diagnosed, as well as relapsed multiple myeloma are examined. In addition, the role of novel agents in patients with cytogenetic abnormalities and renal impairment, as well as the management of the most frequent side effects of the novel agents are discussed. The aim of this article is to assist in treatment decisions in daily clinical practice to achieve the best possible outcome for patients with multiple myeloma.