985 resultados para Link information
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Feature discretization (FD) techniques often yield adequate and compact representations of the data, suitable for machine learning and pattern recognition problems. These representations usually decrease the training time, yielding higher classification accuracy while allowing for humans to better understand and visualize the data, as compared to the use of the original features. This paper proposes two new FD techniques. The first one is based on the well-known Linde-Buzo-Gray quantization algorithm, coupled with a relevance criterion, being able perform unsupervised, supervised, or semi-supervised discretization. The second technique works in supervised mode, being based on the maximization of the mutual information between each discrete feature and the class label. Our experimental results on standard benchmark datasets show that these techniques scale up to high-dimensional data, attaining in many cases better accuracy than existing unsupervised and supervised FD approaches, while using fewer discretization intervals.
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Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.
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This paper focuses on the Portuguese results from an international survey on LIS students’ information literacy skills. The results’ analysis will be grounded on a literature review on the criteria application to evaluate information and determine the credibility by undergraduate students. The guidelines for the information evaluation, especially regarding credibility aspect, on three main information literacy frameworks will be presented. After an overall presentation of the main results, the analysis of the Portuguese survey results will focus on issues related to information evaluation skills, namely on criteria to assess information credibility and on difficulties to apply them.
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We consider a price competition in a duopoly with substitutable goods, linear and symmetric demand. There is a firm (F 1) that chooses first the price p 1 of its good; the other firm (F 2) observes p 1 and then chooses the price p 2 of its good. The conclusions of this price-setting dynamical duopoly are substantially altered by the presence of either differentiated goods or asymmetric information about rival’s production costs. In this paper, we consider asymmetric information about rival’s production costs. We do ex-ante and ex-post analyses of firms’ profits and market prices. We compare the ex-ante firms’ expected profits with the ex-post firms’ profits.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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In the early nineties, Mark Weiser wrote a series of seminal papers that introduced the concept of Ubiquitous Computing. According to Weiser, computers require too much attention from the user, drawing his focus from the tasks at hand. Instead of being the centre of attention, computers should be so natural that they would vanish into the human environment. Computers become not only truly pervasive but also effectively invisible and unobtrusive to the user. This requires not only for smaller, cheaper and low power consumption computers, but also for equally convenient display solutions that can be harmoniously integrated into our surroundings. With the advent of Printed Electronics, new ways to link the physical and the digital worlds became available. By combining common printing techniques such as inkjet printing with electro-optical functional inks, it is starting to be possible not only to mass-produce extremely thin, flexible and cost effective electronic circuits but also to introduce electronic functionalities into products where it was previously unavailable. Indeed, Printed Electronics is enabling the creation of novel sensing and display elements for interactive devices, free of form factor. At the same time, the rise in the availability and affordability of digital fabrication technologies, namely of 3D printers, to the average consumer is fostering a new industrial (digital) revolution and the democratisation of innovation. Nowadays, end-users are already able to custom design and manufacture on demand their own physical products, according to their own needs. In the future, they will be able to fabricate interactive digital devices with user-specific form and functionality from the comfort of their homes. This thesis explores how task-specific, low computation, interactive devices capable of presenting dynamic visual information can be created using Printed Electronics technologies, whilst following an approach based on the ideals behind Personal Fabrication. Focus is given on the use of printed electrochromic displays as a medium for delivering dynamic digital information. According to the architecture of the displays, several approaches are highlighted and categorised. Furthermore, a pictorial computation model based on extended cellular automata principles is used to programme dynamic simulation models into matrix-based electrochromic displays. Envisaged applications include the modelling of physical, chemical, biological, and environmental phenomena.
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Does shareholder value orientation lead to shareholder value creation? This article proposes methods to quantify both, shareholder value orientation and shareholder value creation. Through the application of these models it is possible to quantify both dimensions and examine statistically in how far shareholder value orientation explains shareholder value creation. The scoring model developed in this paper allows quantifying the orientation of managers towards the objective to maximize wealth of shareholders. The method evaluates information that comes from the companies and scores the value orientation in a scale from 0 to 10 points. Analytically the variable value orientation is operationalized expressing it as the general attitude of managers toward the objective of value creation, investment policy and behavior, flexibility and further eight value drivers. The value creation model works with market data such as stock prices and dividend payments. Both methods where applied to a sample of 38 blue chip companies: 32 firms belonged to the share index IBEX 35 on July 1st, 1999, one company represents the “new economy” listed in the Spanish New Market as per July 1st, 2001, and 5 European multinational groups formed part of the EuroStoxx 50 index also on July 1st, 2001. The research period comprised the financial years 1998, 1999, and 2000. A regression analysis showed that between 15.9% and 23.4% of shareholder value creation can be explained by shareholder value orientation.
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In general terms key sectors analysis aims at identifying the role, or impact, that the existence of a productive sector has in the economy. Quite a few measures, indicators and methodologies of varied complexity have been proposed in the literature, from multiplier sums to extraction methods, but not without debate about their properties and their information content. All of them, to our knowledge, focus exclusively on the interdependence effects that result from the input-output structure of the economy. By so doing the simple input-output approach misses critical links beyond the interindustry ones. A productive sector’s role is that of producing but also that of generating and distributing income among primary factors as a result of production. Thus when measuring a sector’s role, the income generating process cannot and should not be omitted if we want to better elucidate the sector’ economic role. A simple way to make the missing income link explicit is to use the SAM (Soci
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The Institute of Public Health in Ireland is an all-island body which aims to improve health in Ireland by working to combat health inequalities and influence public policies in favour of health. The Institute promotes North-South co-operation in research, training, information and policy. The Institute commends the Department of Health and Children for producing the Discussion Paper on Proposed Health Information Bill (June 2008) and welcomes the opportunity to comment on it. The first objective of the Health Information: A National Strategy (2004) is to support the implementation of Quality and Fairness: A Health System for You (2001).The National Health Goals - such as ‘Better health for everyone’, ‘Fair access’ and ‘Responsive and appropriate care delivery’ - are expressed in terms of the health of the public as well as patients. The Discussion Paper focuses on personal information, and the data flows within the health system, that are needed to enhance medical care and maximise patient safety. The Institute believes that the Health Information Bill should also aim to more fully support the achievement of the National Health Goals and the public health function. This requires the development of more integrated information systems that link the healthcare sector and other sectors. Assessment of health services performance - in terms of the public’s health, health inequalities and achievement of the National Health Goals - require such information systems. They will enable the construction of public health key performance indicators for the healthcare services.
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About this leaflet This is one in a series of leaflets for parents, teachers and young people entitled Mental Health and Growing Up. These leaflets aim to provide practical, up-to-date information about mental health problems (emotional, behavioural and psychiatric disorders) that can affect children and young people. This leaflet gives you some basic facts about cannabis and also how it might affect your mental health. Introduction Lots of young people want to know about drugs. Often, people around you are taking them, and you may wonder how it will make you feel. You may even feel under pressure to use drugs in order to fit in, or be â?~coolâ?T. You may have heard that cannabis is no worse than cigarettes, or that it is harmless. What is cannabis? The cannabis plant is a member of the nettle family that has grown wild throughout the world for centuries. People have used it for lots of reasons, other than the popular relaxing effect. It comes in two main forms: ï,§ resin, which is a brown black lump also known as bhang, ganja or hashish ï,§ herbal cannabis, which is made up of the dried leaves and flowering tops, and is known as grass, marijuana, spliff, weed, etc. Skunk cannabis is made from a cannabis plant that has more active chemicals in it (THC), and the effect on your brain is stronger. Because â?~streetâ?T cannabis varies so much in strength, you will not be able to tell exactly how it will make you feel at any particular time. What does it do to you? When you smoke cannabis, the active compounds reach your brain quickly through your bloodstream. It then binds/sticks to a special receptor in your brain. This causes your nerve cells to release different chemicals, and causes the effects that you feel. These effects can be enjoyable or unpleasant. Often the bad effects take longer to appear than the pleasant ones. ï,§ Good/pleasant effects: You may feel relaxed and talkative, and colours or music may seem more intense. ï,§ Unpleasant effects: Feeling sick/panicky, feeling paranoid or hearing voices, feeling depressed and unmotivated. Unfortunately, some people can find cannabis addictive and so have trouble stopping use even when they are not enjoying it. The effects on your mental health Using cannabis triggers mental health problems in people who seemed to be well before, or it can worsen any mental health problems you already have. Research has shown that people who are already at risk of developing mental health problems are more likely to start showing symptoms of mental illness if they use cannabis regularly. For example if someone in your family has depression or schizophrenia, you are at higher risk of getting these illness when you use cannabis. The younger you are when you start using it, the more you may be at risk. This is because your brain is still developing and can be more easily damaged by the active chemicals in cannabis. If you stop using cannabis once you have started to show symptoms of mental illness, such as depression, paranoia or hearing voices, these symptoms may go away. However, not everyone will get better just by stopping smoking. If you go on using cannabis, the symptoms can get worse. It can also make any treatment that your doctor might prescribe for you, work less well. Your illness may come back more quickly, and more often if you continue to use cannabis once you get well again. Some people with mental health problems find that using cannabis makes them feel a bit better for a while. Unfortunately this does not last, and it does nothing to treat the illness. In fact, it may delay you from getting help you need and the illness may get worse in the longer term. [For the full factsheet, click on the link above]This resource was contributed by The National Documentation Centre on Drug Use.
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Mouse models are important tools to decipher the molecular mechanisms of mammary carcinogenesis and to mimic the respective human disease. Despite sharing common phenotypic and genetic features, the proper translation of murine models to human breast cancer remains a challenging task. In a previous study we showed that in the SV40 transgenic WAP-T mice an active Met-pathway and epithelial-mesenchymal characteristics distinguish low- and high-grade mammary carcinoma. To assign these murine tumors to corresponding human tumors we here incorporated the analysis of expression of transcription factor (TF) coding genes and show that thereby a more accurate interspecies translation can be achieved. We describe a novel cross-species translation procedure and demonstrate that expression of unsupervised selected TFs, such as ELF5, HOXA5 and TFCP2L1, can clearly distinguish between the human molecular breast cancer subtypes-or as, for example, expression of TFAP2B between yet unclassified subgroups. By integrating different levels of information like histology, gene set enrichment, expression of differentiation markers and TFs we conclude that tumors in WAP-T mice exhibit similarities to both, human basal-like and non-basal-like subtypes. We furthermore suggest that the low- and high-grade WAP-T tumor phenotypes might arise from distinct cells of tumor origin. Our results underscore the importance of TFs as common cross-species denominators in the regulatory networks underlying mammary carcinogenesis.
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Targeted Small Business News and information from the Iowa Department of Economic Development.
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Targeted Small Business information from the Iowa Economic Development Authority
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An increasing body of research has pointed to the relevance of social capital in studying a great variety of socio-economic phenomena, ranging from economics growth and development to educational attainment and public health. Conceptually, our paper is framed within the debates about the possible links between health and social capital, on one hand, and within the hypotheses regarding the importance of social and community networks in all stages of the dynamics of international migration, on the other hand. Our primary objective is to explore the ways social relations contribute to health differences between the immigrants and the native-born population of Spain. We also try to reveal differences in the nature of the social networks of foreign-born, as compared to that of the native-born persons. The empirical analysis is based on an individual-level data coming from the 2006 Spanish Health Survey, which contains a representative sample of the immigrant population. To assess the relationship between various health indicators (self-assessed health, chronic conditions and long-term illness) and social capital, controlling for other covariates, we estimate multilevel models separately for the two population groups of interest. In the estimates we distinguish between individual and community-level social capital. While the Health Survey contains information that allows us to define individual social capital measures, the collective indicators come from other official sources. In particular, for the subsample of immigrants, we proxy community-level networks and relationships by variables contained in the Spanish National Survey of Immigrants 2007. The results obtained so far point to the relevance of social capital as a covariate in the health equation, although, the significance varies according to the specific health indicator used. Additionally, and contrary to what is expected, immigrants’ social networks seem to be inferior to those of the native-born population in many aspects; and they also affect immigrant’s health to a lesser extent. Policy implications of the findings are discussed. Keywords: health status, social capital, immigration, Spain