669 resultados para Categorization
Resumo:
Este trabalho de investigação, de natureza empírica, procurou conhecer e reflectir sobre as representações do ofício de Professor para os entrevistados, fossem eles docentes ou não docentes. As diversas questões que permeiam o debate sobre a formação docente e a qualidade do ensino são destacadas pelos profissionais da educação e por profissionais de áreas completamente distintas. O papel do Professor é o foco central das entrevistas e a profissão docente, apesar das dificuldades apontadas, é reconhecida e exaltada como uma profissão de fundamental importância para quem almeja a construção de um mundo melhor e de uma sociedade mais justa. A metodologia de pesquisa utilizada é, quanto ao fim, descritiva e, em relação aos meios de investigação, bibliográfica e de pesquisa de campo. Neste trabalho, foi utilizado o método de análise de conteúdo baseado em BARDIN. Este método aparece como um conjunto de técnicas de análise das comunicações que utiliza procedimentos sistemáticos e objectivos de descrição do conteúdo das mensagens. As respostas dos entrevistados foram categorizadas segundo as regras de análise de categorização das informações por homogeneidade, exaustividade, exclusividade, objectividade e adequação ou pertinência. Seguindo-se esta metodologia e com o objectivo assumido de contribuir para o debate acerca da formação docente, foi realizado o presente estudo de investigação, que agora se apresenta. /ABSTRACT: This research, empirical, sought to know and reflect on the representations of the Professor's profession on respondents, teachers and non teachers. The various issues in the debate over teacher formation and teaching quality are highlighted by education professionals and professionals from other areas. The teacher's role is the central focus of the interviews and, despite the perceived difficulties, the teaching is recognized and praised as a profession of fundamental importance for anyone who longs the building of a better wor1d and a fairer society. A descriptive research was used, based on literature and field research. ln this study, we used the method of content analysis based on Bardin. This method appears as a set of techniques of communication that uses systematic and objective description of the messages contents. The respondents' answers were categorized according to the rules of analysis of categorization of information by homogeneity, completeness, uniqueness, suitability or appropriateness and objectivity. Following this methodology and with the admitted goal of contributing to the debate on teacher education, was conducted this research study, which now presents itself.
Resumo:
Bitter taste has been extensively studied in mammalian species and is associated with sensitivity to toxins and with food choices that avoid dangerous substances in the diet. At the molecular level, bitter compounds are sensed by bitter taste receptor proteins (T2R) present at the surface of taste receptor cells in the gustatory papillae. Our work aims at exploring the phylogenetic relationships of T2R gene sequences within different ruminant species. To accomplish this goal, we gathered a collection of ruminant species with different feeding behaviors and for which no genome data is available: American bison, chamois, elk, European bison, fallow deer, goat, moose, mouflon, muskox, red deer, reindeer and white tailed deer. The herbivores chosen for this study belong to different taxonomic families and habitats, and hence, exhibit distinct foraging behaviors and diet preferences. We describe the first partial repertoires of T2R gene sequences for these species obtained by direct sequencing. We then consider the homology and evolutionary history of these receptors within this ruminant group, and whether it relates to feeding type classification, using MEGA software. Our results suggest that phylogenetic proximity of T2R genes corresponds more to the traditional taxonomic groups of the species rather than reflecting a categorization by feeding strategy.
Resumo:
Resumo: A psicomotricidade tem como objeto de estudo o corpo e as suas relações com o exterior. Inserido num determinado contexto ambiental, o corpo é um dos veículos centrais na transmissão de mensagens. O conhecimento do psicomotricista, acerca da utilização e identificação dos aspetos não-verbais, é determinante para melhorar a qualidade da intervenção, especialmente quando estamos perante a psicomotricidade com enfâse na qualidade da relação. Neste trabalho temos como objetivo conhecer a ocorrência não-verbal, toque e sua tipologia, a partir de Watson (1975), operada nos braços de uma criança, com paralisia cerebral (hemiparesia direita), pelo psicomotricista durante a sua intervenção. Esta análise consiste num estudo de caso realizado através da visualização sistemática e sistematizada de um vídeo durante uma sessão, na qual o psicomotricista interage com a criança com fins terapêuticos. A recolha de dados foi feita por vídeo-gravação e transcritos, verbalmente, para o papel e analisados e categorizados, posteriormente. Os resultados obtidos levaram-nos a concluir que o psicomotricista utilizou todos os aspetos não-verbais relacionados com o toque nos braços. A maioria destes toques foi do tipo Instrumental/Afetivo. Emergiram dados os quais se revelaram pertinentes como contributos para a melhoria da qualidade da intervenção, quando conhecidos e utilizados, adaptadamente, pelo psicomotricista.Abstract: The object of psychomotricity is the study of the body and its relationships with the outside world. Within a certain environmental context, the body is one of the central vehicles in the transmission of messages. The psychomotricity therapist's knowledge about the use and identification of non-verbal aspects is the key to improve the efficiency of the intervention, especially when we face psychomotricity with emphasis on the quality of the relationship . The aim of this work is to reckon the non-verbal happening of touch and its typology, according to Watson(1975), operated by the psychomotricist on the arms of a child with cerebral palsy,(right hemiparesis) during his/her intervention. This analysis consists of a case study based on the systematic and systematized viewing of a video made during one session, in which the therapist interacts with the child for therapeutic purposes. The collection of data was made through vídeo recording and verbally set down transcrptions for later analysis and categorization. The results obtained let us conclude that the psychomotricity therapist used all the non-verbal aspects related to arm touching . Most of these touches were of the instrumental/affective kind. Data have emerged that were considered relevant as contributing to improve the quality of the intervention if they are known and aproppriately used by the psychomotricity therapist.
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At the beginning, this Ph.D. project led to an overview of the most common and emerging types of fraud and possible countermeasures in the olive oil sector. Furthermore, possible weaknesses in the current conformity check system for olive oil were highlighted. Among those, despite the organoleptic assessment is a fundamental tool for establishing the virgin olive oils (VOOs) quality grade, the scientific community has evidenced some drawbacks in it. In particular, the application of instrumental screening methods to support the panel test could reduce the work of sensory panels and the cost of this analysis (e.g. for industries, distributors, public and private control laboratories), permitting the increase in the number and the efficiency of the controls. On this basis, a research line called “Quantitative Panel Test” is one of the main expected outcomes of the OLEUM project that is also partially discussed in this doctoral dissertation. In this framework, analytical activities were carried out, within this PhD project, aimed to develop and validate analytical protocols for the study of the profiles in volatile compounds (VOCs) of the VOOs headspace. Specifically, two chromatographic approaches, one targeted and one semi-targeted, to determine VOCs were investigated in this doctoral thesis. The obtained results, will allow the possible establishment of concentration limits and ranges of selected volatile markers, as related to fruitiness and defects, with the aim to support the panel test in the commercial categorization of VOOs. In parallel, a rapid instrumental screening method based on the analysis of VOCs has been investigated to assist the panel test through a fast pre-classification of VOOs samples based on a known level of probability, thus increasing the efficiency of quality control.
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la tesi esamina l’applicazione del controllo sugli aiuti di Stato in materia fiscale tramite la disamina della giurisprudenza della Corte di giustizia. Il lavoro intende fornire una nuova prospettiva di analisi, valorizzando l’interazione tra la nozione di ‘aiuto fiscale’ ex art. 107(1) TFUE e le categorie tributarie nazionali, sottese all’applicazione del “test in tre fasi” coniato dalla Corte per identificare la presenza di un ‘vantaggio selettivo’. Facendo applicazione di tale prospettiva di analisi, la ricerca propone una nuova categorizzazione della ‘selettività fiscale’, tramite la quale vengono affrontate le tematiche più controverse legate all’applicazione dell’istituto. Infine, considerando i numerosi progetti di riforma della fiscalità diretta attualmente al vaglio delle Istituzioni europee, la tesi si confronta con il “futuro” del controllo sugli aiuti di Stato, identificato nella necessaria interazione con una cornice normativa armonizzata.
Analysis of urban infrastructure for sustainable mobility through instrumented bicycles for students
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In Europe almost 80% of the continent's population lives in cities. It is estimated that by 2030 most regions in Europe which contain major cities will have even more inhabitants on 35–60% more than now. This process generates a consequent elevate human pressure on the natural environment, especially around large urban agglomerations. Cities could be seen as an ecosystem, represented by the dominance of humans that re-distribute organisms and fluxes and represent the result of co-evolving human and natural systems, emerging from the interactions between humans, natural and infrastructures. Roads have a relevant role in building links between urban components, creating the basis on which it is founded the urban ecosystem itself. This thesis is focused on the research for a comprehensive model, framed in European urban health & wellbeing programme, aimed to evaluate the determinants of health in urban populations. Through bicycles, GPS and sensor kits, specially developed and produced by University of Bologna for this purpose, it has been possible to conduct on Bologna different direct observations that oriented the novelty of the research: the categorization of university students cyclists, connection among environmental data awareness and level of cycling, and an early identification of urban attributes able to impact on road air quality and level of cycling. The categorization of university students’ cyclist has been defined through GPS analysis and focused survey, that both permit to identify behavioural and technical variables and attitudes towards urban cycling. The statistic relationship between level of cycling, seen as number of bicycles passages per lane and pollutants level, has been investigated through an inverse regression model, defined and tested through SPSS software on the basis of the data harvest. The research project that represents a sort of dynamic mobility laboratory on two wheels, that permits to harvest and study detected parameters.
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The central aim of this dissertation is to introduce innovative methods, models, and tools to enhance the overall performance of supply chains responsible for handling perishable products. This concept of improved performance encompasses several critical dimensions, including enhanced efficiency in supply chain operations, product quality, safety, sustainability, waste generation minimization, and compliance with norms and regulations. The research is structured around three specific research questions that provide a solid foundation for delving into and narrowing down the array of potential solutions. These questions primarily concern enhancing the overall performance of distribution networks for perishable products and optimizing the package hierarchy, extending to unconventional packaging solutions. To address these research questions effectively, a well-defined research framework guides the approach. However, the dissertation adheres to an overarching methodological approach that comprises three fundamental aspects. The first aspect centers on the necessity of systematic data sampling and categorization, including identifying critical points within food supply chains. The data collected in this context must then be organized within a customized data structure designed to feed both cyber-physical and digital twins to quantify and analyze supply chain failures with a preventive perspective.
Root cause analysis applied to a finite element model's refinement of a negative stiffness structure
Resumo:
Negative Stiffness Structures are mechanical systems that require a decrease in the applied force to generate an increase in displacement. They are structures that possess special characteristics such as snap-through and bi-stability. All of these features make them particularly suitable for different applications, such as shock-absorption, vibration isolation and damping. From this point of view, they have risen awareness of their characteristics and, in order to match them to the application needed, a numerical simulation is of great interest. In this regard, this thesis is a continuation of previous studies in a circular negative stiffness structure and aims at refine the numerical model by presenting a new solution. To that end, an investigation procedure is needed. Amongst all of the methods available, root cause analysis was the chosen one to perform the investigation since it provides a clear view of the problem under analysis and a categorization of all the causes behind it. As a result of the cause-effect analysis, the main causes that have influence on the numerical results were obtained. Once all of the causes were listed, solutions to them were proposed and it led to a new numerical model. The numerical model proposed was of nonlinear type of analysis with hexagonal elements and a hyperelastic material model. The results were analyzed through force-displacement curves, allowing for the visualization of the structure’s energy recovery. When compared to the results obtained from the experimental part, it is evident that the trend is similar and the negative stiffness behaviour is present.
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Driven by recent deep learning breakthroughs, natural language generation (NLG) models have been at the center of steady progress in the last few years. However, since our ability to generate human-indistinguishable artificial text lags behind our capacity to assess it, it is paramount to develop and apply even better automatic evaluation metrics. To facilitate researchers to judge the effectiveness of their models broadly, we suggest NLG-Metricverse—an end-to-end open-source library for NLG evaluation based on Python. This framework provides a living collection of NLG metrics in a unified and easy- to-use environment, supplying tools to efficiently apply, analyze, compare, and visualize them. This includes (i) the extensive support of heterogeneous automatic metrics with n-arity management, (ii) the meta-evaluation upon individual performance, metric-metric and metric-human correlations, (iii) graphical interpretations for helping humans better gain score intuitions, (iv) formal categorization and convenient documentation to accelerate metrics understanding. NLG-Metricverse aims to increase the comparability and replicability of NLG research, hopefully stimulating new contributions in the area.