882 resultados para Hand gesture recognition
                                
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OBJECTIVE: To evaluate the relation of medical research, with the participation of prominent plastic surgeon in Congress.METHODS: We reviewed the scientific programs of the last 3 Brazilian Congress of Surgery, were selected 21 Brazilian plástic surgeons invited to serve as panelists or speakers in roundtable sessions in the last 3 congresses (Group 1). We randomly selected and paired by other members (associates) of the Brazilian Society of Plastic Surgery, with no participation in congress as speaker (Group 2). We conducted a search for articles published in journals indexed in Medline, Lilacs and SciELO for all doctors selected during the entire academic career and the last 5 years from March 2007 until March 2012. We assessed the research activity through the simple counting of the number of publications in indexed journals for each professional. The number of publications groups was compared.RESULTS: articles produced throughout career: Group 1- 639 articles (average of 30.42 items each). Group 2- 79 articles (mean 3.95 articles each). Difference between medias: p <0.001.CONCLUSION: The results demonstrate that the Brazilian Society of Plastic Surgery seeking professionals with a greater number of publications and journals of higher impact. This approach encourages new members to pursue a higher qualification, and give security to congressmen, they can rely on the existence of a technical criterion in the choice of speakers.
                                
                                
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During a possible loss of coolant accident in BWRs, a large amount of steam will be released from the reactor pressure vessel to the suppression pool. Steam will be condensed into the suppression pool causing dynamic and structural loads to the pool. The formation and break up of bubbles can be measured by visual observation using a suitable pattern recognition algorithm. The aim of this study was to improve the preliminary pattern recognition algorithm, developed by Vesa Tanskanen in his doctoral dissertation, by using MATLAB. Video material from the PPOOLEX test facility, recorded during thermal stratification and mixing experiments, was used as a reference in the development of the algorithm. The developed algorithm consists of two parts: the pattern recognition of the bubbles and the analysis of recognized bubble images. The bubble recognition works well, but some errors will appear due to the complex structure of the pool. The results of the image analysis were reasonable. The volume and the surface area of the bubbles were not evaluated. Chugging frequencies calculated by using FFT fitted well into the results of oscillation frequencies measured in the experiments. The pattern recognition algorithm works in the conditions it is designed for. If the measurement configuration will be changed, some modifications have to be done. Numerous improvements are proposed for the future 3D equipment.
                                
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The economic importance of small and medium-sized enterprises (SMEs) and entrepreneurship has increased significantly in recent decades and entrepreneurial activity and SMEs are deemed vital to economic progress. Therefore, it is justifiable to study how small firms and entrepreneurs can enhance their performance and emergence in the turbulent economic environment. The concept of entrepreneurial orientation (EO) has recently attracted considerable attention in the field of entrepreneurship research. EO generally refers to a firm’s propensity to be innovative, to be proactive and to take risks. A majority of EO studies so far have found that adopting EO associated entrepreneurial behaviors will help firms to create or sustain a high level of performance. This dissertation explores the main drivers and performance implications of EO for SMEs in time of economic crisis. Hence the first objective of this dissertation is to examine the performance implications of EO and to test the role of EO on how firms are treated by the crisis at operative level. The second objective is to expand the prevailing understanding of determinants of EO by exploring the relationship between owner's work related values, attitudes, demographic characteristics, firm’s financial resources and EO. EO was found to be a significant and positive factor behind a firm’s long run growth. Hence it can be said that EO has positive implications for firm performance. But on the other hand, during a time of economic crisis the different dimensions of EO had both positive and negative effects on performance of SMEs. The performance implications varied across different stages of the crisis and were also dependent on what measure was used for measuring the performance. The main drivers of EO in SMEs were the personal work related values of the entrepreneur and his/her prior experience as an entrepreneur. The intrinsic work values related to interest, responsibility, challenge, self-development or intellectual stimulation and values related to status, power, achievement and recognition had a positive effect on the level of EO. On the other hand, extrinsic values related to high income, material possessions, benefits such as generous holidays, job security, and comfort through good working conditions decreased the level of EO
                                
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Visual object tracking has been one of the most popular research topics in the field of computer vision recently. Specifically, hand tracking has attracted significant attention since it would enable many useful practical applications. However, hand tracking is still a very challenging problem which cannot be considered solved. The fact that almost every aspect of hand appearance can change is the fundamental reason for this difficulty. This thesis focused on 2D-based hand tracking in high-speed camera videos. During the project, a toolbox for this purpose was collected which contains nine different tracking methods. In the experiments, these methods were tested and compared against each other with both high-speed videos recorded during the project and publicly available normal speed videos. The results revealed that tracking accuracies varied considerably depending on the video and the method. Therefore, no single method was clearly the best in all videos, but three methods, CT, HT, and TLD, performed better than the others overall. Moreover, the results provide insights about the suitability of each method to different types and situations of hand tracking.
                                
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Tutkimuksen aiheena on kättely suomalaisessa tapakulttuurissa 1800-luvulta 2000-luvulle. Tutkimuksen tarkoituksena on ollut selvittää, mitä kättely on suomalaisille tutkimusajankohtana merkinnyt. Kättelyä suomalaisessa tapakulttuurissa on tarkasteltu muistitietoaineiston avulla.Ensisijainen aineisto sisältää kättelyyn liittyviä ajatuksia ja kokemuksia yli tuhannelta suomalaiselta. Aineiston käsittely ei kuitenkaan perustu niiden määrälliseen tutkimiseen, vaan tutkimusmenetelmänä on käytetty laadullista tutkimusotetta, jonka ytimessä on merkitysten tulkinta. Väitöskirjassa kättelyä lähestytään kulttuurihistoriallisena, monitasoisena ilmiönä, josta on erotettavissa kestoltaan eripituisia historiallisuuden tasoja. Myös väitöskirjan rakenne seuraa tätä historiallisen monikerroksellisuuden ajatusta. Ensiksi kättelystä on erotettavissa biologiaan perustuva niin kutsuttu syvän historian taso, joka tekee kättelystä merkityksellisen luottamuksellisten suhteiden ja yhteistoiminnan alueella. Toiseksi kättelystä voidaan erottaa rakenteiden tasolla ilmenevä ja hitaasti muuttuva tapakulttuurin taso. Mutta vaikka tapakulttuurin säännöt osaltaan vaikuttavat siihen, miten henkilö tietyssä tilanteessa käyttäytyy, on toimija kättelytilanteessa kuitenkin valintoja tekevä yksilö. Kolmas tutkimuksessa erotettu taso onkin tapahtumahetken taso, jolla historiallinen toimija suorittaa valintojaan oman henkilöhistoriansa ja elämänkokemuksensa avulla. Historialliseen monikerroksellisuuteen liittyvän ajattelun kautta tutkimus osoittaa kättelyn monisyiseksi ilmiöksi, joka vaikuttaa inhimilliseen vuorovaikutukseen olennaisella tavalla. Tutkimusote myös nivoo ihmisen kehityshistorian opittuun tapakulttuuriin sekä tapahtumahetken aktiiviseen kättelytoimijuuteen. Tuloksista voidaan päätellä, ettei kättely ole suomalaisille merkityksetön toiminto, vaan tärkeä sosiaalinen väline, jonka syvempi ymmärtäminen vaatii kaikkien historiallisten tasojen tarkastelua. Eri historian kerrokset voivat olla yksittäisessä kättelytapahtumassa kaikki läsnä. Julkisessa keskustelussa kättely on ollut esillä epähygieenisyytensä vuoksi. Väitöskirjatutkimuksessa pohditaan myös kättelyn suhdetta mikrobien leviämiseen. Tutkimus osoittaa, että kättelyllä on kahtalaisia turvallisuuteen liittyviä merkityksiä: toisaalta se on lääketieteellinen riski, mutta toisaalta se saa sellaisia tapoihin ja hyvinvointiin liittyviä merkityksiä kuten yhteisöllisyys ja luottamus. Pohdittaessa kättelyn ja käsihygienian suhdetta tulevaisuudessa nämä seikat tulisi tiedostaa ja tuoda selkeästi esiin.
                                
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The target of any immunization is to activate and expand lymphocyte clones with the desired recognition specificity and the necessary effector functions. In gene, recombinant and peptide vaccines, the immunogen is a single protein or a small assembly of epitopes from antigenic proteins. Since most immune responses against protein and peptide antigens are T-cell dependent, the molecular target of such vaccines is to generate at least 50-100 complexes between MHC molecule and the antigenic peptide per antigen-presenting cell, sensitizing a T cell population of appropriate clonal size and effector characteristics. Thus, the immunobiology of antigen recognition by T cells must be taken into account when designing new generation peptide- or gene-based vaccines. Since T cell recognition is MHC-restricted, and given the wide polymorphism of the different MHC molecules, distinct epitopes may be recognized by different individuals in the population. Therefore, the issue of whether immunization will be effective in inducing a protective immune response, covering the entire target population, becomes an important question. Many pathogens have evolved molecular mechanisms to escape recognition by the immune system by variation of antigenic protein sequences. In this short review, we will discuss the several concepts related to selection of amino acid sequences to be included in DNA and peptide vaccines.
                                
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The distribution and structure of heparan sulfate and heparin are briefly reviewed. Heparan sulfate is a ubiquitous compound of animal cells whose structure has been maintained throughout evolution, showing an enormous variability regarding the relative amounts of its disaccharide units. Heparin, on the other hand, is present only in a few tissues and species of the animal kingdom and in the form of granules inside organelles in the cytoplasm of special cells. Thus, the distribution as well as the main structural features of the molecule, including its main disaccharide unit, have been maintained through evolution. These and other studies led to the proposal that heparan sulfate may be involved in the cell-cell recognition phenomena and control of cell growth, whereas heparin may be involved in defense mechanisms against bacteria and other foreign materials. All indications obtained thus far suggest that these molecules perform the same functions in vertebrates and invertebrates.
                                
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In this thesis, the suitability of different trackers for finger tracking in high-speed videos was studied. Tracked finger trajectories from the videos were post-processed and analysed using various filtering and smoothing methods. Position derivatives of the trajectories, speed and acceleration were extracted for the purposes of hand motion analysis. Overall, two methods, Kernelized Correlation Filters and Spatio-Temporal Context Learning tracking, performed better than the others in the tests. Both achieved high accuracy for the selected high-speed videos and also allowed real-time processing, being able to process over 500 frames per second. In addition, the results showed that different filtering methods can be applied to produce more appropriate velocity and acceleration curves calculated from the tracking data. Local Regression filtering and Unscented Kalman Smoother gave the best results in the tests. Furthermore, the results show that tracking and filtering methods are suitable for high-speed hand-tracking and trajectory-data post-processing.
                                
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The genome of Mycobacterium tuberculosis H37Rv contains three contiguous genes (plc-a, plc-b and plc-c) which are similar to the Pseudomonas aeruginosa phospholipase C (PLC) genes. Expression of mycobacterial PLC-a and PLC-b in E. coli and M. smegmatis has been reported, whereas expression of the native proteins in M. tuberculosis H37Rv has not been demonstrated. The objective of the present study was to demonstrate that native PLC-a is expressed in M. tuberculosis H37Rv. Sera from mice immunized with recombinant PLC-a expressed in E. coli were used in immunoblots to evaluate PLC-a expression. The immune serum recognized a 49-kDa protein in immunoblots against M. tuberculosis extracts. No bands were visible in M. tuberculosis culture supernatants or extracts from M. avium, M. bovis and M. smegmatis. A 550-bp DNA fragment upstream of plc-a was cloned in the pJEM12 vector and the existence of a functional promoter was evaluated by detection of ß-galactosidase activity. ß-Galactosidase activity was detected in M. smegmatis transformed with recombinant pJEM12 grown in vitro and inside macrophages. The putative promoter was active both in vitro and in vivo, suggesting that expression is constitutive. In conclusion, expression of non-secreted native PLC-a was demonstrated in M. tuberculosis.
                                
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Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.
                                
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The objective of the present study was to translate, adapt and validate a Brazilian Portuguese version of the Disabilities of the Arm, Shoulder and Hand (DASH) Questionnaire. The study was carried out in two steps. The first was to translate the DASH into Portuguese and to perform cultural adaptation and the second involved the determination of the reliability and validity of the DASH for the Brazilian population. For this purpose, 65 rheumatoid arthritis patients of either sex (according to the classification criteria of the American College of Rheumatology), ranging in age from 18 to 60 years and presenting no other diseases involving the upper limbs, were interviewed. The patients were selected consecutively at the rheumatology outpatient clinic of UNIFESP. The following results were obtained: in the first step (translation and cultural adaptation), all patients answered the questions. In the second step, Spearman's correlation coefficients for interobserver evaluation ranged from 0.762 to 0.995, values considered to be highly reliable. In addition, intraclass correlation coefficients ranged from 0.97 to 0.99, also highly reliable values. Spearman's correlation coefficients and the intraclass correlation coefficients obtained during intra-observer evaluation ranged from 0.731 to 0.937 and from 0.90 to 0.96, respectively, being highly reliable values. The Ritchie Index showed a weak correlation with Brazilian DASH scores, while the visual analog scale of pain showed a good correlation with DASH score. We conclude that the Portuguese version of the DASH is a reliable instrument.
                                
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Apoptosis is the most common phenotype observed when cells die through programmed cell death. The morphologic and biochemical changes that characterize apoptotic cells depend on the activation of a diverse set of genes. Apoptosis is essential for multicellular organisms since their development and homeostasis are dependent on extensive cell renewal. In fact, there is strong evidence for the correlation between the emergence of multicellular organisms and apoptosis during evolution. On the other hand, no obvious advantages can be envisaged for unicellular organisms to carry the complex machinery required for programmed cell death. However, accumulating evidence shows that free-living and parasitic protozoa as well as yeasts display apoptotic markers. This phenomenon has been related to altruistic behavior, when a subpopulation of protozoa or yeasts dies by apoptosis, with clear benefits for the entire population. Recently, phosphatidylserine (PS) exposure and its recognition by a specific receptor (PSR) were implicated in the infectivity of amastigote forms of Leishmania, an obligatory vertebrate intramacrophagic parasite, showing for the first time that unicellular organisms use apoptotic features for the establishment and/or maintenance of infection. Here we focus on PS exposure in the outer leaflet of the plasma membrane - an early hallmark of apoptosis - and how it modulates the inflammatory activity of phagocytic cells. We also discuss the possible mechanisms by which PS exposure can define Leishmania survival inside host cells and the evolutionary implications of apoptosis at the unicellular level.
                                
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The problem of automatic recognition of the fish from the video sequences is discussed in this Master’s Thesis. This is a very urgent issue for many organizations engaged in fish farming in Finland and Russia because the process of automation control and counting of individual species is turning point in the industry. The difficulties and the specific features of the problem have been identified in order to find a solution and propose some recommendations for the components of the automated fish recognition system. Methods such as background subtraction, Kalman filtering and Viola-Jones method were implemented during this work for detection, tracking and estimation of fish parameters. Both the results of the experiments and the choice of the appropriate methods strongly depend on the quality and the type of a video which is used as an input data. Practical experiments have demonstrated that not all methods can produce good results for real data, whereas on synthetic data they operate satisfactorily.
                                
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The pharmacology of synthetic organoselenium compounds indicates that they can be used as antioxidants, enzyme inhibitors, neuroprotectors, anti-tumor and anti-infectious agents, and immunomodulators. In this review, we focus on the effects of diphenyl diselenide (DPDS) in various biological model organisms. DPDS possesses antioxidant activity, confirmed in several in vitro and in vivo systems, and thus has a protective effect against hepatic, renal and gastric injuries, in addition to its neuroprotective activity. The activity of the compound on the central nervous system has been studied since DPDS has lipophilic characteristics, increasing adenylyl cyclase activity and inhibiting glutamate and MK-801 binding to rat synaptic membranes. Systemic administration facilitates the formation of long-term object recognition memory in mice and has a protective effect against brain ischemia and on reserpine-induced orofacial dyskinesia in rats. On the other hand, DPDS may be toxic, mainly because of its interaction with thiol groups. In the yeast Saccharomyces cerevisiae, the molecule acts as a pro-oxidant by depleting free glutathione. Administration to mice during cadmium intoxication has the opposite effect, reducing oxidative stress in various tissues. DPDS is a potent inhibitor of d-aminolevulinate dehydratase and chronic exposure to high doses of this compound has central effects on mouse brain, as well as liver and renal toxicity. Genotoxicity of this compound has been assessed in bacteria, haploid and diploid yeast and in a tumor cell line.
 
                    