792 resultados para Informed decisions
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The purpose of this research is design considerations for environmental monitoring platforms for the detection of hazardous materials using System-on-a-Chip (SoC) design. Design considerations focus on improving key areas such as: (1) sampling methodology; (2) context awareness; and (3) sensor placement. These design considerations for environmental monitoring platforms using wireless sensor networks (WSN) is applied to the detection of methylmercury (MeHg) and environmental parameters affecting its formation (methylation) and deformation (demethylation). ^ The sampling methodology investigates a proof-of-concept for the monitoring of MeHg using three primary components: (1) chemical derivatization; (2) preconcentration using the purge-and-trap (P&T) method; and (3) sensing using Quartz Crystal Microbalance (QCM) sensors. This study focuses on the measurement of inorganic mercury (Hg) (e.g., Hg2+) and applies lessons learned to organic Hg (e.g., MeHg) detection. ^ Context awareness of a WSN and sampling strategies is enhanced by using spatial analysis techniques, namely geostatistical analysis (i.e., classical variography and ordinary point kriging), to help predict the phenomena of interest in unmonitored locations (i.e., locations without sensors). This aids in making more informed decisions on control of the WSN (e.g., communications strategy, power management, resource allocation, sampling rate and strategy, etc.). This methodology improves the precision of controllability by adding potentially significant information of unmonitored locations.^ There are two types of sensors that are investigated in this study for near-optimal placement in a WSN: (1) environmental (e.g., humidity, moisture, temperature, etc.) and (2) visual (e.g., camera) sensors. The near-optimal placement of environmental sensors is found utilizing a strategy which minimizes the variance of spatial analysis based on randomly chosen points representing the sensor locations. Spatial analysis is employed using geostatistical analysis and optimization occurs with Monte Carlo analysis. Visual sensor placement is accomplished for omnidirectional cameras operating in a WSN using an optimal placement metric (OPM) which is calculated for each grid point based on line-of-site (LOS) in a defined number of directions where known obstacles are taken into consideration. Optimal areas of camera placement are determined based on areas generating the largest OPMs. Statistical analysis is examined by using Monte Carlo analysis with varying number of obstacles and cameras in a defined space. ^
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Menu analysis is the gathering and processing of key pieces of information to make it more manageable and understandable. Ultimately, menu analysis allows managers to make more informed decisions about prices, costs, and items to be included on a menu. The author discusses If labor as well as food casts need to be included in menu analysis and if managers need to categorize menu items differently when doing menu analysis based on customer eating patterns.
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Menu analysis is the gathering and processing of key pieces of information to make it more manageable and understand- able. Ultimately, menu analysis allows managers to make more informed decisions about prices, costs, and items to be included on a menu. The author discusses If labor as well as food casts need to be included in menu analysis and if managers need to categorize menu items differently when doing menu analysis based on customer eating patterns.
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Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and for the entire transportation system. Most existing advanced traveler information systems (ATIS) and advanced traffic management systems (ATMS) use instantaneous travel time values estimated based on the current measurements, assuming that traffic conditions remain constant in the near future. For more effective applications, it has been proposed that ATIS and ATMS should use travel times predicted for short-term future conditions rather than instantaneous travel times measured or estimated for current conditions. This dissertation research investigates short-term freeway travel time prediction using Dynamic Neural Networks (DNN) based on traffic detector data collected by radar traffic detectors installed along a freeway corridor. DNN comprises a class of neural networks that are particularly suitable for predicting variables like travel time, but has not been adequately investigated for this purpose. Before this investigation, it was necessary to identifying methods for data imputation to account for missing data usually encountered when collecting data using traffic detectors. It was also necessary to identify a method to estimate the travel time on the freeway corridor based on data collected using point traffic detectors. A new travel time estimation method referred to as the Piecewise Constant Acceleration Based (PCAB) method was developed and compared with other methods reported in the literatures. The results show that one of the simple travel time estimation methods (the average speed method) can work as well as the PCAB method, and both of them out-perform other methods. This study also compared the travel time prediction performance of three different DNN topologies with different memory setups. The results show that one DNN topology (the time-delay neural networks) out-performs the other two DNN topologies for the investigated prediction problem. This topology also performs slightly better than the simple multilayer perceptron (MLP) neural network topology that has been used in a number of previous studies for travel time prediction.
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The FIU Nature Preserve was established over thirty-five years ago as an environmental educational center where visitors could experience and learn about local south Florida ecosystems and organisms. This 16-acre facility in the heart of the MMC campus has recently become a popular outdoor fitness destination since the inauguration of a jogging path during Fall 2013. This study set out to quantify how many people visit the FIU Nature Preserve annually, who they are, and what they are doing there. It is also assessing the effect of the FIU Nature Preserve on the overall health of the university community since studies have found that physical activity and contact with nature are positively associated with good health. A pilot was completed during Fall 2014, and the study is on track to finish March 22, 2015. To measure current visitation, two types of surveys were done on seven days across seven weeks during the spring of 2015, visitation counts and in-person surveys. By understanding the reasons and ways people discover and embark on regular use of natural areas, land managers and policy makers can make more informed decisions. As human population and development continue to grow, new ways to integrate natural areas into our urban environment and our lifestyles must be found. In this way, natural resource conservation could be championed as a way for communities to promote physical activity and good health beyond simply using their intrinsic value.
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Supply Chain Simulation (SCS) is applied to acquire information to support outsourcing decisions but obtaining enough detail in key parameters can often be a barrier to making well informed decisions.
One aspect of SCS that has been relatively unexplored is the impact of inaccurate data around delays within the SC. The impact of the magnitude and variability of process cycle time on typical performance indicators in a SC context is studied.
System cycle time, WIP levels and throughput are more sensitive to the magnitude of deterministic deviations in process cycle time than variable deviations. Manufacturing costs are not very sensitive to these deviations.
Future opportunities include investigating the impact of process failure or product defects, including logistics and transportation between SC members and using alternative costing methodologies.
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Like many developed coastal cities, San Diego, California has strong geographic and recreational ties to the adjacent ocean, but weak culinary ones. Less than 10% of the seafood consumed in the U.S., and San Diego in particular, is domestic. The popularity and abundance of farmers’ markets and other local markets in San Diego indicates an interest among producers and the public alike in cultivating local, diverse food systems, but this trend has been slower to catch on for seafood. The goal of this project was, therefore, to define and begin to understand the influences on the patterns of locally sourced, domestic seafood availability in San Diego. This study focused on seafood availability in seafood markets including researching market websites and contacting seafood counter managers to determine the general frequency (consistent, occasional, none) at which the markets sold seafood produced by San Diego fishermen or aquafarmers. Seafood market locations were mapped, and demographic and spatial information was gathered for each market’s zip code. The results of the study revealed that only 8% of San Diego’s 86 seafood markets consistently carried San Diego-sourced seafood, and 14% of markets carried it on occasion. Increased density of these local seafood markets was correlated with proximity to the coast, with almost 80% of the markets located within 2 km of the coast. Neither per capita income nor racial diversity was correlated with local seafood market density, indicating that factors contributing to coastal isolation matter more than wealth or diversity in determining where local seafood is sold. The geographic disparity in local seafood availability may be due to a variety of factors, including a small fishing fleet, prevalence of imported seafood, limited waterfront and urban infrastructure needed to support a local seafood system, and a lack of public awareness about local fisheries. Information gleaned from this study can inform further investigation into the influences on local, equitable seafood systems, as well as help consumers, producers and marketers to make informed decisions about seafood purchases and marketing efforts.
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Predicted climate changes announce an increase of extreme environmental conditions including drought and excessive heat and light in classical viticultural regions. Thus, understanding how grapevine responds to these conditions and how different genotypes can adapt, is crucial for informed decisions on accurate viticultural actions. Global transcriptome analyses are useful for this purpose as the response to these abiotic stresses involves the interplay of complex and diverse cascades of physiological, cellular and molecular events. The main goal of the present work was to evaluate the response to diverse imposed abiotic stresses at the transcriptome level and to compare the response of two grapevine varieties with contrasting physiological trends, Trincadeira (TR) and Touriga Nacional (TN).
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Introduction. Research design should take into account both (a) the specific nature of the object under scrutiny, and (b) approaches to its study in the past. This is to ensure that informed decisions are made regarding research design in future empirical studies. Here these factors are taken into account with reference to methodological choice for a doctoral study on tacit knowledge sharing, and the extent to tacit knowledge sharing may be facilitated by online tools. The larger study responds to calls for the two domains of knowledge management and human information behaviour to be considered together in terms of their research approaches and theory development. Method. Relevant literature – both domain-specific (knowledge management) and general (research methods in social science) - was identified and analysed to identify the most appropriate approaches for an empirical study of tacit knowledge sharing. Analysis. The analysis shows that there are a number of challenges associated with studying an intangible entity such as tacit knowledge. Quantitative, qualitative and mixed methods have been adopted in prior work on this theme, each with their own strengths and weaknesses. Results. The analysis has informed a decision to adopt a research approach that deploys mixed methods for an inductive case study to extend knowledge of the influence of online tools on tacit knowledge sharing. Conclusion. This work intends to open the debate on methodological choice and routes to implementation for studies that are subject to practical constraints imposed by the context in which they are situated.
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When designing systems that are complex, dynamic and stochastic in nature, simulation is generally recognised as one of the best design support technologies, and a valuable aid in the strategic and tactical decision making process. A simulation model consists of a set of rules that define how a system changes over time, given its current state. Unlike analytical models, a simulation model is not solved but is run and the changes of system states can be observed at any point in time. This provides an insight into system dynamics rather than just predicting the output of a system based on specific inputs. Simulation is not a decision making tool but a decision support tool, allowing better informed decisions to be made. Due to the complexity of the real world, a simulation model can only be an approximation of the target system. The essence of the art of simulation modelling is abstraction and simplification. Only those characteristics that are important for the study and analysis of the target system should be included in the simulation model. The purpose of simulation is either to better understand the operation of a target system, or to make predictions about a target system’s performance. It can be viewed as an artificial white-room which allows one to gain insight but also to test new theories and practices without disrupting the daily routine of the focal organisation. What you can expect to gain from a simulation study is very well summarised by FIRMA (2000). His idea is that if the theory that has been framed about the target system holds, and if this theory has been adequately translated into a computer model this would allow you to answer some of the following questions: · Which kind of behaviour can be expected under arbitrarily given parameter combinations and initial conditions? · Which kind of behaviour will a given target system display in the future? · Which state will the target system reach in the future? The required accuracy of the simulation model very much depends on the type of question one is trying to answer. In order to be able to respond to the first question the simulation model needs to be an explanatory model. This requires less data accuracy. In comparison, the simulation model required to answer the latter two questions has to be predictive in nature and therefore needs highly accurate input data to achieve credible outputs. These predictions involve showing trends, rather than giving precise and absolute predictions of the target system performance. The numerical results of a simulation experiment on their own are most often not very useful and need to be rigorously analysed with statistical methods. These results then need to be considered in the context of the real system and interpreted in a qualitative way to make meaningful recommendations or compile best practice guidelines. One needs a good working knowledge about the behaviour of the real system to be able to fully exploit the understanding gained from simulation experiments. The goal of this chapter is to brace the newcomer to the topic of what we think is a valuable asset to the toolset of analysts and decision makers. We will give you a summary of information we have gathered from the literature and of the experiences that we have made first hand during the last five years, whilst obtaining a better understanding of this exciting technology. We hope that this will help you to avoid some pitfalls that we have unwittingly encountered. Section 2 is an introduction to the different types of simulation used in Operational Research and Management Science with a clear focus on agent-based simulation. In Section 3 we outline the theoretical background of multi-agent systems and their elements to prepare you for Section 4 where we discuss how to develop a multi-agent simulation model. Section 5 outlines a simple example of a multi-agent system. Section 6 provides a collection of resources for further studies and finally in Section 7 we will conclude the chapter with a short summary.
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As rápidas alterações sociais, económicas, culturais e ambientais determinaram mudanças significativas nos estilos de vida e contribuíram para o crescimento e generalização do consumo de alimentos e refeições fora de casa. Portugal acompanha a tendência de aumento do consumo alimentar fora de casa, assim, as refeições fora de casa, que há uns anos eram um acontecimento fortuito, são hoje uma prática habitual das famílias portuguesas, não só durante a semana de trabalho, mas também nos fins-de-semana. As, visitas aos centros comerciais que se tornaram um hábito no nosso país incluem uma paragem nas Praças de Alimentação, espaços de excelência pela diversidade alimentar onde predominam as refeições de fast-food. Porém é fundamental a escolha adequada/equilibrada dos alimentos que se vão consumir. O presente trabalho procurou avaliar os hábitos e percepção dos consumidores de refeições rápidas com base numa ementa específica cujo alimento principal é o pão. Posteriormente e de acordo com as preferências de consumo procedeu-se à avaliação nutricional das escolhas. Neste estudo participaram 150 indivíduos que frequentaram as instalações de um restaurante de comida rápida situada na praça de alimentação de um centro comercial situado em Viseu. Foi aplicado um questionário de autopreenchimento, por nós elaborado dividido em 4 partes: caracterização sociodemográfica; hábitos de consumo dos inquiridos; produtos escolhidos pelos inquiridos; grau de satisfação face aos produtos escolhidos. As análises estatísticas foram efectuadas com recurso ao Programa informático Statistical Package for the Social Sciences - SPSS® for Windows, versão 22. Realizam-se testes de Qui-quadrado com simulação de Monte Carlo, considerando o nível de significância de 0,05. Com base nas escolhas mais frequentes feitas pelos inquiridos procedeu-se à avaliação nutricional dos menus recorrendo ao programa DIAL 1.19 versão 1 e quando não se encontrou informação neste utilizou-se a tabela de composição de alimentos portugueses on line (INSA, 2010). Compararam-se os valores obtidos para o Valor Calórico Total, os macronutrientes, a fibra, o colesterol e o sódio com as Doses Diárias Recomendadas. A amostra era composta por 68,7% mulheres e 31,3% homens, com uma média de idades de 29,9 ± 3 anos e, maioritariamente empregados (64,7%). O grau de instrução da maioria dos inquiridos (54,7%) era o ensino superior. Grande parte da amostra não se considera consumidora habitual de fast-food,referindo ainda efectuar frequentemente uma alimentação equilibrada. Sendo que apenas 5 % frequenta as instalações mais de uma vez por semana. De entre os produtos disponíveis, a preferência fez-se pela sandes e batata-frita, sendo o momento de maior consumo o almoçoA avaliação nutricional das escolhas preferenciais dos inquiridos mostrou que o VCT do menu que inclui água como bebida está dentro dos limites calóricos preconizados para o almoço excepção feita ao menu que inclui sandes quente de frango em pão de orégãos e sandes fria de queijo fresco que se destacam por apresentar um valor inferior ao limite mínimo recomendado. Pelo contrário, a inclusão no menu do refrigerante faz com que haja um aumento do VCT, independentemente da sandes considerada, em 18%. Uma análise detalhada mostra que estas ementas são desequilibradas, apresentando 33,3% delas valores de proteínas superiores à DDR enquanto que os valores de HC e lípidos se encontram maioritariamente dentro dos limites havendo apenas 13,3% das ementas fora desses valores. Relativamente ao aporte de fibra e de sódio 86,7% das ementas aparecem desenquadradas com valores excessivos de sódio e valores de fibra 33% abaixo do limite mínimo recomendado. Tratando-se de um estudo de caso em que apenas se inclui um único restaurante de uma praça de alimentação, que fornece ementas à base de pão (sandes) os resultados são interpretados de forma cautelosa e sem generalização. Podemos no entanto concluir, face aos resultados obtidos a necessidade de redução do teor de sal das ementas. Para além disso parece-nos fundamental, para que o consumidor possa comparar opções alimentares e tomar decisões informadas, a disponibilização da informação nutricional das ementas propostas.
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Background: Health policy, guidelines, and standards advocate giving patients comprehensive information and facilitating their involvement in health-related decision-making. Routine assessment of patient reports of these processes is needed. Our objective was to examine decision-making processes, specifically information provision and consumer involvement in decision-making, for nine pregnancy, labour, and birth procedures, as reported by maternity care consumers in Queensland, Australia. Methods: Participants were women who had a live birth in Queensland in a specified time period and were not found to have had a baby that died since birth, who completed the extended Having a Baby in Queensland Survey, 2010 about their maternity care experiences, and who reported at least one of the nine procedures of interest. For each procedure, women answered two questions that measured perceived (i) receipt of information about the benefits and risks of the procedure and (ii) role in decision-making about the procedure. Results: In all, 3,542 eligible women (34.2%) completed the survey. Between 4% (for pre-labour caesarean section) and 60% (for vaginal examination) of women reported not being informed of the benefits and risks of the procedure they experienced. Between 2% (epidural) and 34% (episiotomy) of women reported being unconsulted in decision-making. Over one quarter (26%) of the women who experienced episiotomy reported being neither informed nor consulted. Conclusions: There is an urgent need for interventions that facilitate information provision and consumer involvement in decision-making about several perinatal procedures, especially those performed within the time-limited intrapartum care episode.
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"January 1995."