964 resultados para implicit categorization
Resumo:
Patients with Alzheimer's disease (AD) gradually lose their cognitive competence, particularly memory, and the ability to perform daily life tasks. Neuropsychological rehabilitation is used to improve cognitive functions by facilitating memory performance through the use of external aids and internal strategies. The effect of neuropsychological rehabilitation through memory training - motor movements, verbal association, and categorization - and activities of daily living (ADL) training was tested in a sample of 5 elderly out-patients (mean age: 77.4 ± 2.88 years), with mild AD (Mini-Mental State Examination score: 22.20 ± 2.17) and their caregivers. All patients had been taking rivastigmine (6-12 mg/day) for at least 3 months before being assigned to the rehabilitation sessions, and they continued to take the medication during the whole program. Just before and after the 14-week neuropsychological rehabilitation program all patients were assessed by interviewers that did not participate in the cognitive training, using the Mini-Mental State Examination, Montgomery-Alsberg Depression Rating Scale, Hamilton Anxiety Scale, Interview to Determine Deterioration in Functioning in Dementia, Functional Test, Memory Questionnaire of Daily Living for patient and caregiver, Quality of Life Questionnaire for patient and caregiver, and a neuropsychological battery. The results showed a statistically significant improvement in ADL measured by Functional Test (P = 0.04), and only a small improvement in memory and psychiatric symptoms. Our results support the view that weekly stimulation of memory and training of ADL is believed to be of great value in AD treatment, not only delaying the progress of the disease, but also improving some cognitive functions and ADL, even though AD is a progressively degenerative disease.
Resumo:
SStrong evidence suggests that the climate is changing and that these changes are largely caused by human activities. A consensus exists among researchers that human activity is causing global warming and that actions to mitigate global warming need to be taken swiftly. The transportation sector, which relies heavily on fossil fuel burning and primarily oil, is one of the big contributors to air pollution problems at local, regional and global levels. It is the fastest growing source of greenhouse gas emissions and is estimated to be responsible for nearly a quarter of global energyrelated carbon dioxide emissions. Car sharing is a mobility solution encouraging its users to decrease private car usage in favour of communal transit and environmental goals. The idea of car sharing originates from the aspiration to decrease personal car ownership and to reduce vehicle distance travelled. This thesis seeks to complement the understanding of Finnish car sharing users and their usage through better categorization. Through better categorization and segmentation of Finnish car sharing users the thesis seeks to provide information for improved marketing insight. Research is done on the demographic and behavioural characteristics of Finnish car sharing users and they are compared with international findings about the characteristics of International car sharing users. The main research problem is Are Finnish car sharing users similar to international ones? A theoretical research framework on the determinants of individual car sharing usage is built based on international research about demographic and behaviouristic characteristics. After this a quantitative survey is performed to the customers of a Finnish car sharing organization. The data analysed in the thesis consist out of 532 answers received from the car sharing organizations customers. The data is analysed with descriptive and other exploratory methods, which create an understanding of Finnish car sharing users. At the end of the analysis the demographic and behavioural characteristics of Finnish car sharing users are compared with international ones. The research findings of the thesis indicate that the demographic and behavioural characteristics of Finnish car sharing usage largely follow those of their international counterparts. Thanks to the thesis results the car sharing organization is able to better target their customers through improved marketing insight.
Resumo:
The shift towards a knowledge-based economy has inevitably prompted the evolution of patent exploitation. Nowadays, patent is more than just a prevention tool for a company to block its competitors from developing rival technologies, but lies at the very heart of its strategy for value creation and is therefore strategically exploited for economic pro t and competitive advantage. Along with the evolution of patent exploitation, the demand for reliable and systematic patent valuation has also reached an unprecedented level. However, most of the quantitative approaches in use to assess patent could arguably fall into four categories and they are based solely on the conventional discounted cash flow analysis, whose usability and reliability in the context of patent valuation are greatly limited by five practical issues: the market illiquidity, the poor data availability, discriminatory cash-flow estimations, and its incapability to account for changing risk and managerial flexibility. This dissertation attempts to overcome these impeding barriers by rationalizing the use of two techniques, namely fuzzy set theory (aiming at the first three issues) and real option analysis (aiming at the last two). It commences with an investigation into the nature of the uncertainties inherent in patent cash flow estimation and claims that two levels of uncertainties must be properly accounted for. Further investigation reveals that both levels of uncertainties fall under the categorization of subjective uncertainty, which differs from objective uncertainty originating from inherent randomness in that uncertainties labelled as subjective are highly related to the behavioural aspects of decision making and are usually witnessed whenever human judgement, evaluation or reasoning is crucial to the system under consideration and there exists a lack of complete knowledge on its variables. Having clarified their nature, the application of fuzzy set theory in modelling patent-related uncertain quantities is effortlessly justified. The application of real option analysis to patent valuation is prompted by the fact that both patent application process and the subsequent patent exploitation (or commercialization) are subject to a wide range of decisions at multiple successive stages. In other words, both patent applicants and patentees are faced with a large variety of courses of action as to how their patent applications and granted patents can be managed. Since they have the right to run their projects actively, this flexibility has value and thus must be properly accounted for. Accordingly, an explicit identification of the types of managerial flexibility inherent in patent-related decision making problems and in patent valuation, and a discussion on how they could be interpreted in terms of real options are provided in this dissertation. Additionally, the use of the proposed techniques in practical applications is demonstrated by three fuzzy real option analysis based models. In particular, the pay-of method and the extended fuzzy Black-Scholes model are employed to investigate the profitability of a patent application project for a new process for the preparation of a gypsum-fibre composite and to justify the subsequent patent commercialization decision, respectively; a fuzzy binomial model is designed to reveal the economic potential of a patent licensing opportunity.
Resumo:
The objective of the present study was to explore the factors related to the prognosis of colorectal cancer (CRC) and to establish a prognostic model for the selection of patients who might benefit from hepatic resection for metastatic CRC. A total of 293 patients undergoing liver resection for metastatic CRC (172 males and 80 females ranging in age from 26 to 80 years) were selected and clinical, pathological and outcome data were examined in this retrospective study. The prognostic index (PI) of the patients was calculated on the basis of results of multivariate analysis. Patients were stratified into different groups, with survival curves projected according to PI. The 1-, 3-, and 5-year overall survival rates were 58.3, 26.4, and 11.3%, respectively. Univariate analysis indicated that degree of primary tumor differentiation, resection margin, preoperative carcinoembryonic antigen (CEA) level, number of liver metastases, and resection of liver metastases were associated with prognosis (P < 0.05). In multivariate analysis, the last three factors were found to be independent prognostic factors. The resection of liver metastases was a favorable factor. Patients were classified into three groups according to PI, which differed significantly in survival rate (P < 0.05). The individual survival rate was evaluated based on PI. Resection of hepatic colorectal metastases may produce long-term survival and cure. The proposed PI was easy to use, was highly predictive of patient outcome, and permitted categorization of patients into treatment groups.
Resumo:
We compared two electroretinography (ERG) electrodes in dogs using ERG standards of the International Society for Clinical Electrophysiology of Vision (ISCEV). Ten healthy Yorkshire terrier dogs (mean age, 2.80 ± 1.42 years; 6 females) weighing 5.20 ± 1.56 kg were evaluated using an ERG system for veterinary use. Dark- and light-adapted ERG responses were recorded using an ERG-Jet electrode and a fiber electrode prototype. The examinations were performed during 2 visits, 3 weeks apart. Both electrodes (ERG-Jet or fiber prototype) were used on each animal and the first eye to be recorded (OD × OS) was selected randomly. Three weeks later the examination was repeated on the same animal switching the type of electrode to be used that day and the first eye to be examined. The magnitude and waveform quality obtained with the two electrode types were similar for all ERG responses. ERG amplitudes and implicit times obtained from dogs using the fiber electrode prototype were comparable to those obtained with the ERG-Jet electrode for rod, maximal rod-cone summed, cone, and 30-Hz flicker responses. The fiber electrode prototype is a low-cost device, available as an alternative instrument for clinical veterinary ERG recording for retinal function assessment.
Resumo:
Red wines from different countries have been assessed in order to determine the influence of terroir and grape variety in their concentration of chloride. Chloride analysis was carried out by Laboratório de Bebidas de Origem Vegetal do Espírito Santo (Labeves), using the potentiometric method, in which the dosing is directly applied to the sample with an Ag/AgCl electrode. Data were collected to establish the level of chloride, as presented in the analysis reports issued by Labeves, and to serve as a wine categorization database, according to grape variety and country of origin. Australia and Argentina presented the highest levels of chloride and the wines made from the Syrah variety presented the highest concentration of such ion. We have, therefore, found that terroir and grape variety do have an influence over the concentration of chloride in red wines.
Resumo:
This work investigates theoretical properties of symmetric and anti-symmetric kernels. First chapters give an overview of the theory of kernels used in supervised machine learning. Central focus is on the regularized least squares algorithm, which is motivated as a problem of function reconstruction through an abstract inverse problem. Brief review of reproducing kernel Hilbert spaces shows how kernels define an implicit hypothesis space with multiple equivalent characterizations and how this space may be modified by incorporating prior knowledge. Mathematical results of the abstract inverse problem, in particular spectral properties, pseudoinverse and regularization are recollected and then specialized to kernels. Symmetric and anti-symmetric kernels are applied in relation learning problems which incorporate prior knowledge that the relation is symmetric or anti-symmetric, respectively. Theoretical properties of these kernels are proved in a draft this thesis is based on and comprehensively referenced here. These proofs show that these kernels can be guaranteed to learn only symmetric or anti-symmetric relations, and they can learn any relations relative to the original kernel modified to learn only symmetric or anti-symmetric parts. Further results prove spectral properties of these kernels, central result being a simple inequality for the the trace of the estimator, also called the effective dimension. This quantity is used in learning bounds to guarantee smaller variance.
Resumo:
The paper aims at analyzing the article by Gerson Lima on the manner by which fiscal deficit should be covered. It presents a more general dynamic model, where the principle of effective demand is explicitly used. By doing that, it is possible to treat as endogenous variables the national income and the government entries, what brings the result that the public debt must not follow an explosive path unless the very restrictive conditions of Lima's paper prevail. It also evaluates Lima's implicit inflation theory, and argues against his approximation to Friedman's framework.
Resumo:
Tämän pro gradu – tutkielman tavoitteena oli ymmärtää ja kuvata, kuinka yritysvastuura-porttien varmennusraportit ovat muuttuneet tarkasteluajanjaksolla vuosina 2002 – 2013 sekä kuinka varmennuksen antaja voi vaikuttaa annettaviin varmennusraportteihin. Aikaisemmissa tutkimuksissa on todettu, että pienilläkin eroilla varmennusraporteissa voi olla suuri vaikutus niiden tulkintaan. Tämän tutkimuksen tavoitteena oli lisätä ymmärrystä siitä, millaista vaihtelua raporteissa on ollut eri ajanjaksojen ja varmentajien välillä, ja millainen vaikutus tällä on raportin lukijan kannalta. Tutkimus on toteutettu laadullisen menetelmin, ja tutkimusmenetelmänä on käytetty kvantitatiivista sisällönerittelyä ja laadullista sisältöanalyysiä. Empiirisen aineiston muodostivat 16 yrityksen yritysvastuuraporteille tilintarkastajan antamat varmennusraportit, joita tarkasteluajanjaksolla oli yhteensä 67 kappaletta. Varmennusraportit kerättiin yritysten internetsivuilta. Tutkimuksen perusteella varmennusraportit ovat monin tavoin standardisoituneet tarkasteluajanjaksolla. Merkittävä vaikutus varmennusraportteihin on ollut ISAE3000-standardien voimaantulolla, koska ne määrittävät melko tarkasti, kuinka varmennus tulee suorittaa sekä millainen varmennusraportti suoritetun työn perusteella tulee antaa. Jotkut raportit osat ovat sisällöltään samanlaisia varmentajasta riippumatta, mutta toiset osat vaihtelivat paljon varmentajasta riippuen. Eroja oli niin raportissa käytetyissä sananmuodoissa kuin itse sanoman sisällössäkin. Jossain kohdin, kuten varmennusraporttien johtopäätöksissä, oli kuitenkin havaittavissa, että vaikka standardi ei sinänsä määritä, mistä asioista johtopäätös tulee antaa, oli tässä tapahtunut ns. luonnollinen standardoituminen eri varmentajien välillä.
Resumo:
The global economic crisis has created an opportunity to rethink macroeconomics for development. Such rethinking is both necessary and desirable. It is essential to redefine macroeconomic objectives so that the emphasis is on fostering employment creation and supporting economic growth instead of the focus on price stability alone. It is just as important to rethink macroeconomic policies which cannot simply be used for the management of inflation and the elimination of macroeconomic imbalances, since fiscal and monetary policies are powerful and versatile instruments in the pursuit of development objectives. In doing so, it is essential to the overcome the constraints embedded in orthodox economic thinking and recognize the constraints implicit in the politics of ideology and interests.
Resumo:
Product Data Management (PDM) systems have been utilized within companies since the 1980s. Mainly the PDM systems have been used by large companies. This thesis presents the premise that small and medium-sized companies can also benefit from utilizing the Product Data Management systems. Furthermore, the starting point for the thesis is that the existing PDM systems are either too expensive or do not properly respond to the requirements SMEs have. The aim of this study is to investigate what kinds of requirements and special features SMEs, operating in Finnish manufacturing industry, have towards Product Data Management. Additionally, the target is to create a conceptual model that could fulfill the specified requirements. The research has been carried out as a qualitative case study, in which the research data was collected from ten Finnish companies operating in manufacturing industry. The research data is formed by interviewing key personnel from the case companies. After this, the data formed from the interviews has been processed to comprise a generic set of information system requirements and the information system concept supporting it. The commercialization of the concept is studied in the thesis from the perspective of system development. The aim was to create a conceptual model, which would be economically feasible for both, a company utilizing the system and for a company developing it. For this reason, the thesis has sought ways to scale the system development effort for multiple simultaneous cases. The main methods found were to utilize platform-based thinking and a way to generalize the system requirements, or in other words abstracting the requirements of an information system. The results of the research highlight the special features Finnish manufacturing SMEs have towards PDM. The most significant of the special features is the usage of project model to manage the order-to-delivery –process. This differs significantly from the traditional concepts of Product Data Management presented in the literature. Furthermore, as a research result, this thesis presents a conceptual model of a PDM system, which would be viable for the case companies interviewed during the research. As a by-product, this research presents a synthesized model, found from the literature, to abstract information system requirements. In addition to this, the strategic importance and categorization of information systems within companies has been discussed from the perspective of information system customizations.
Resumo:
Implicit reciprocity and growth in the international economy: a structuralist perspective. This paper discusses some of the structuralist ideas about international coordination and growth in an international system formed by countries whose productive structures and technological capabilities are strongly asymmetric. These ideas are formalized taking as a point of departure the Keynesian Balance-of-Payments constrained growth model with two countries. To this model is added a function (based on the catching up literature) in which the income elasticity of the demand for exports and imports depends on the technology gap. The model allows for discussing the inter-relations between the fiscal and the industrial and technological policies. It also allows for finding the rate of growth of autonomous expenditure in the periphery which ensures that it will use all the foreign exchange it earns in promoting economic growth (the principle of "automatic reciprocity").
Resumo:
Työn tarkoituksena on antaa Etelä-Karjalan sosiaali- ja terveyspiirin (Eksote) Hyvis –palvelun nettiportaalille muutosehdoituksia koskien nettisivujen ulkoasua, käytettävyyteen liittyviä seikkoja sekä ideoita brändinrakentamiseen verrattuna maailmalta löytyneisiin palkittuihin terveysalan sivustoihin. Työn tavoitteena on löytää mahdollisimman hyvä ohjenuora nettisivujen toiminnallisiin ja ulkoisiin tapoihin sekä käytänteihin, joiden ansiosta brändille voidaan luoda lisäarvoa nettisivujen välityksellä. Työn tuloksina tuli esiin sivujen kategorioinnin tärkeys, jolla voidaan selkeyttää sivujen rakennetta sekä se helpottaa sivuilla navigointia ja tiedonhakua. Kuvien käyttäminen linkkien ja tekstien yhteydessä oli tulosten mukaan suotavaa. Jokainen tarkasteltava sivu sisälsi responsiivisuuden sekä mobiili- ja tablettioptimoinnin, joten se oli yksi tärkeimmistä tutkimuksessa saaduista tuloksista. Sosiaalinen media oli myös kovasti käytössä jokaisen tutkittavan sivun kohdalla.
Resumo:
In some Latin American countries the exporting activity starts at a regional level, with producers only later venturing into more competitive markets. The implicit risk is that a country might never progress from the regional stage to a more global market. This article compares the experiences of Brazil, China and India. It is shown that Brazil relied on the regional market far more intensely than these Asian countries. There were clear gains accruing to China and India for having exploited more sophisticated markets from the very beginning of their export drive.
Resumo:
The paper analyzes the contributions of Mário Henrique Simonsen to the construction of the concept of inertial inflation and to its connected literature. Simonsen's curve, in which the idea of inertial inflation was implicit, is analyzed, alongside with the feedback model (modelo de realimentação) and it's shown how Simonsen built a model which considered inflationary inertia, neutralization possibilities and possible problems and costs of stabilization, anticipating many of the issued that guided the debate in the 1980s.