961 resultados para General Game Playing


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O Geocaching é um jogo, criado pela Groundspeak, que consiste em esconder e encontrar objetos geolocalizados conhecidos como geocaches. A busca das geocaches é na realidade uma aventura que promove a vivência de novas experiências, o convívio entre utilizadores, a descoberta de novos espaços na natureza, a realização de jogos em tempo e cenário real, entre outros. Existem geocaches espalhadas por todo o mundo e milhares de utilizadores estão já registados no jogo. Além de passatempo, o Geocaching consegue ser uma ferramenta de marketing digital, quer para a própria Groundspeak, mas também para diferentes empresas/instituições por todo o mundo normalmente associadas à localização das geocaches. A Groundspeak é, naturalmente, a mais beneficiada uma vez que, praticamente sem investir em publicidade, conseguiu que o jogo tenha cada vez mais adeptos. A sua divulgação é essencialmente feita pelos próprios utilizadores, quer através da comunicação direta com um não utilizador, quer através de redes sociais, de eventos organizados, mas também através de outras empresas que desenvolveram aplicações com funcionalidades extra que permitem ao utilizador uma melhor experiência. O objetivo desta dissertação foi o de demonstrar como é que o Geocaching pode ser usado como uma ferramenta de Marketing Digital. Inicialmente, foi analisada a questão do Marketing Digital e das suas ferramentas, focando o Geocaching e a sua dimensão no mundo, explicando os diferentes tipos de caches e de que forma as mesmas podem ser utilizadas como ferramentas de marketing. Como elemento de validação, foi concebida, desenvolvida e validada uma wherigo (um tipo de geocache), que consiste num jogo virtual onde o progresso do jogador depende das tarefas realizadas e da sua movimentação geolocalizada. A wherigo criada no âmbito do projeto é um meio de marketing digital, de divulgação do Castelo de Santa Maria da Feira, realizada de uma forma interativa e divertida, através de questionários, desafios e fantasia. O jogo incita a percorrer os jardins que rodeiam o Castelo bem como o interior do mesmo e permite ainda o acesso dos jogadores ao Castelo com desconto de geocacher na aquisição do ingresso. Os objetivos propostos inicialmente foram completamente cumpridos, sendo que o jogo já se encontra disponível para ser jogado por geocachers e foi por eles avaliado muito positivamente.

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Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

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Between March and July 1996, a focalized epidemic outbreak of cutaneous leishmaniasis in General Vedia, province of Chaco, associated to the gallery forest of the Oro river was verified. The incidence rate in the area, which was 0-2/000 cases in preceding years, reached 8/000 cases in 1996. The risk of symptomatic infection was similar between sexes, but was different when analizing the different age groups by sex, suggesting a greater relative importance of the peridomestic transmission for the females and of the transmission in the subtropical forest for the males. Specimens of Lutzomyia intermedia, a species already incriminated as a vector of Leishmaniasis in other provinces of northern Argentina, were captured and identified in the focus locality in May 1996. The possible causes of the outbreak related to the climatic variables and the vector abundance are analyzed and the results in the framework of possible preventive and control activities are discussed.

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This work presents the results of the detection of antibodies (immunoglobulin G) for subtypes I and VI of VEE viruses complex (Togaviridae family) in people from the General Belgrano island, Formosa province (Argentina). The prevalence of neutralizing (NT) antibodies for subtype VI was from 30% to 70% and the prevalence of antibodies inhibitory of hemagglutination (HI) was of 0% in the first and second inquiry respectively. For the subtype IAB the prevalence of NT antibodies was from 13% to 3.6%, similar to the prevalence total for both subtypes. HI antibodies were not detected in any inquiries for any subtype. It was observed that both subtypes circulate simultaneously, while subtype VI remains constant with some peaks, subtype I was found in low level.

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In today’s healthcare paradigm, optimal sedation during anesthesia plays an important role both in patient welfare and in the socio-economic context. For the closed-loop control of general anesthesia, two drugs have proven to have stable, rapid onset times: propofol and remifentanil. These drugs are related to their effect in the bispectral index, a measure of EEG signal. In this paper wavelet time–frequency analysis is used to extract useful information from the clinical signals, since they are time-varying and mark important changes in patient’s response to drug dose. Model based predictive control algorithms are employed to regulate the depth of sedation by manipulating these two drugs. The results of identification from real data and the simulation of the closed loop control performance suggest that the proposed approach can bring an improvement of 9% in overall robustness and may be suitable for clinical practice.

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Dentro dos vários processos de Intervenção Precoce, elegemos o brincar, enquanto ato sempre presente na criança. Na revisão de literatura verifica-se uma quase inexistência de estudos de Intervenções centradas no jogo em crianças institucionalizadas desde os 0 anos. Assim, partimos de duas questões fulcrais: quais os riscos associados à institucionalização prolongada e precoce, e de que modo o jogo e o brincar potenciam o desenvolvimento e a aprendizagem da criança em risco biológico e sociocultural. O presente estudo tem como objetivo promover, através de um estudo de caso, a relação do lúdico com o desenvolvimento e a aprendizagem, imprescindíveis numa criança em situação de institucionalização. Partimos da problemática da institucionalização infantil, expondo os diversos trabalhos apresentados pela revisão bibliográfica relativamente aos riscos associados à condição de institucionalização. Os diversos estudos sublinham que, efetivamente, não será a única solução para as crianças em risco, apontando para a legislação atual que prevê o acolhimento familiar como solução viável e mais ajustada às necessidades das crianças. Apresentamos ainda a teoria do desenvolvimento de Vygotsky como fundamento teórico-prático deste trabalho de intervenção centrada no brincar.

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Os Lares de Infância e Juventude têm como objetivo defender o superior interesse das crianças, desempenhando um papel fundamental no acompanhamento do seu desenvolvimento. Este dever concretiza-se substancialmente na definição e acompanhamento dos seus projetos de vida. Neste sentido, as práticas dos profissionais devem ir ao encontro das reais necessidades dos seus atores, numa ação adequada, desenhada e concertada, tendo sempre como principio básico o respeito pelas idiossincrasias de cada criança e jovem. O presente Relatório tem como objetivo apresentar o desenho e desenvolvimento de um projeto de intervenção psicossocial e relação de ajuda com crianças em acolhimento institucional, intitulado “Heróis de Palmo e Meio. A intervenção psicossocial e a relação de ajuda no acolhimento institucional”. Este projeto teve como grande finalidade a “Participação das crianças e das suas famílias na construção dos seus projetos de vida com base na compreensão da institucionalização”. Priorizando as necessidades e respeitando o critério de urgência, foram desenhados dois subprojectos com duas crianças e suas famílias, tentando sempre responder às suas necessidades individuais. Foram definidos alguns objetivos gerais comuns, assim como objetivos específicos, estratégias e ações adequadas a cada um dos subprojectos. Os resultados deste projeto revelam-se significativos, já que permitiram, quer às crianças, quer às famílias, desenvolver um processo de reflexão e consciencialização em torno da sua história de vida, compreensão da sua realidade e participação ativa no projeto de vida dos filhos, o que veio facilitar o caminho inicial do processo da mudança.

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Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers. Methods: A prospective cohort study of adult general practice attendees in six European countries and Chile followed up over 6 months. We recruited 10,045 attendees between April 2003 to February 2005. 6193 European and 2462 Chilean attendees recorded AUDIT scores below 8 in men and 5 in women at recruitment and were used in modelling risk. 38 risk factors were measured to construct a risk model for the development of hazardous drinking using stepwise logistic regression. The model was corrected for over fitting and tested in an external population. The main outcome was hazardous drinking defined by an AUDIT score >= 8 in men and >= 5 in women. Results: 69.0% of attendees were recruited, of whom 89.5% participated again after six months. The risk factors in the final predictAL model were sex, age, country, baseline AUDIT score, panic syndrome and lifetime alcohol problem. The predictAL model's average c-index across all six European countries was 0.839 (95% CI 0.805, 0.873). The Hedge's g effect size for the difference in log odds of predicted probability between safe drinkers in Europe who subsequently developed hazardous alcohol use and those who did not was 1.38 (95% CI 1.25, 1.51). External validation of the algorithm in Chilean safe drinkers resulted in a c-index of 0.781 (95% CI 0.717, 0.846) and Hedge's g of 0.68 (95% CI 0.57, 0.78). Conclusions: The predictAL risk model for development of hazardous consumption in safe drinkers compares favourably with risk algorithms for disorders in other medical settings and can be a useful first step in prevention of alcohol misuse.

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Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.

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This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

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The authors analyzed 704 transthoracic echocardiographic (TTE) examinations, performed routinely to all admitted patients to a general 16-bed Intensive Care Unit (ICU) during an 18-month period. Data acquisition and prevalence of abnormalities of cardiac structures and function were assessed, as well as the new, previously unknown severe diagnoses. A TTE was performed within the first 24 h of admission on 704 consecutive patients, with a mean age of 61.5+/-17.5 years, ICU stay of 10.6+/-17.1 days, APACHE II 22.6+/-8.9, and SAPS II 52.7+/-20.4. In four patients, TTE could not be performed. Left ventricular (LV) dimensions were quantified in 689 (97.8%) patients, and LV function in 670 (95.2%) patients. Cardiac output (CO) was determined in 610 (86.7%), and mitral E/A in 399 (85.9% of patients in sinus rhythm). Echocardiographic abnormalities were detected in 234 (33%) patients, the most common being left atrial (LA) enlargement (n=163), and LV dysfunction (n=132). Patients with these alterations were older (66+/-16.5 vs 58.1+/-17.4, p<0.001), presented a higher APACHE II score (24.4+/-8.7 vs 21.1+/-8.9, p<0.001), and had a higher mortality rate (40.1% vs 25.4%, p<0.001). Severe, previously unknown echocardiographic diagnoses were detected in 53 (7.5%) patients; the most frequent condition was severe LV dysfunction. Through a multivariate logistic regression analysis, it was determined that mortality was affected by tricuspid regurgitation (p=0.016, CI 1.007-1.016) and ICU stay (p<0.001, CI 1-1.019). We conclude that TTE can detect most cardiac structures in a general ICU. One-third of the patients studied presented cardiac structural or functional alterations and 7.5% severe previously unknown diagnoses.

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BACKGROUND: The detection of psychosocial distress is a significant communication problem in Southern Europe and other countries. Work in this area is hampered by a lack of data. Because not much is known about training aimed at improving the recognition of psychosocial disorders in cancer patients, we developed a basic course model for medical oncology professionals. METHODS: A specific educational and experiential model (12 hours divided into 2 modules) involving formal teaching (ie, journal articles, large-group presentations), practice in small groups (ie, small-group exercises and role playing), and discussion in large groups was developed with the aim of improving the ability of oncologists to detect emotional disturbances in cancer patients (ie, depression, anxiety, and adjustment disorders). RESULTS: A total of 30 oncologists from 3 Southern European countries (Italy, Portugal, and Spain) participated in the workshop. The training course was well accepted by most participants who expressed general satisfaction and a positive subjective perception of the utility of the course for clinical practice. Of the total participants, 28 physicians (93.3%) thought that had they been exposed to this material sooner, they would have incorporated the techniques received in the workshop into their practices; 2 participants stated they would likely have done so. Half of the doctors (n = 15) believed that their clinical communication techniques were improved by participating in the workshop, and the remaining half thought that their abilities to communicate with cancer patients had improved. CONCLUSIONS: This model is a feasible approach for oncologists and is easily applicable to various oncology settings. Further studies will demonstrate the effectiveness of this method for improving oncologists skills in recognizing emotional disorders in their patients with cancer.

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OBJECTIVE: The objective of the study was to develop a model for estimating patient 28-day in-hospital mortality using 2 different statistical approaches. DESIGN: The study was designed to develop an outcome prediction model for 28-day in-hospital mortality using (a) logistic regression with random effects and (b) a multilevel Cox proportional hazards model. SETTING: The study involved 305 intensive care units (ICUs) from the basic Simplified Acute Physiology Score (SAPS) 3 cohort. PATIENTS AND PARTICIPANTS: Patients (n = 17138) were from the SAPS 3 database with follow-up data pertaining to the first 28 days in hospital after ICU admission. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: The database was divided randomly into 5 roughly equal-sized parts (at the ICU level). It was thus possible to run the model-building procedure 5 times, each time taking four fifths of the sample as a development set and the remaining fifth as the validation set. At 28 days after ICU admission, 19.98% of the patients were still in the hospital. Because of the different sampling space and outcome variables, both models presented a better fit in this sample than did the SAPS 3 admission score calibrated to vital status at hospital discharge, both on the general population and in major subgroups. CONCLUSIONS: Both statistical methods can be used to model the 28-day in-hospital mortality better than the SAPS 3 admission model. However, because the logistic regression approach is specifically designed to forecast 28-day mortality, and given the high uncertainty associated with the assumption of the proportionality of risks in the Cox model, the logistic regression approach proved to be superior.

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Background: Sexually transmitted infections (STIs) present a major public health concern and a global cause of illness in both industrialized and developing countries. Portugal is no exception, with an increasing incidence of STIs, and one of the highest prevalences of HIV in Europe. Reduced risk perceptions among men who have sex with men (MSM) and a consequent high-risk sexual behaviour have been increasingly reported throughout the world. Objectives: To characterize the population of MSM attending a STI clinic in Lisbon, and to assess practice of condom use among these patients. Methods: Records of all MSM patients who attended the STI clinic from 2008 to 2011 were reviewed to study demographic characteristics, sexual behaviours, and leading diagnoses in this population. Results: Of a total of 389 patients, 108 MSM were identified (27.8%), mostly Portuguese men with high school or above education, aged 17 to 61 years (medium age of 32.4 years). More than half of the patients (52.8%) reported more than one sexual partner in the past 6 months (19.4% more than 5 partners), and only a third consistently used condom. A history of sex with sex workers was mentioned in 9.2%. The most prevalent diagnoses were syphilis (45.6%) and condylomata acuminata (38.9%). The prevalence of HIV infection in this subgroup of patients was significantly higher than in the rest of the population (47.2% vs. 14.9%). Inconsistent condom use increased over the years (36.4% in 2008, 66.7% in 2011), and these patients revealed a greater number of sexual partners than condom users (60.4% vs. 50%). However, 38.9% of condom users presented with early syphilis, suggesting inadequate use of this barrier method. Among HIV patients, almost half of them (49%) had sex with more than one partner in the previous six months, and 47.1% did not use the condom during all sexual practices. Of these, 45.8% were not on antiretroviral therapy. Conclusions: High-risk sexual behaviours (inconsistent use of condom and multiple partners) are increasingly prevalent in this MSM subpopulation, despite previous educational programmes. The high incidence of risk behaviours among HIV infected patients is particularly worrisome, and must be addressed with innovative interventions and population-based prevention strategies.