82 resultados para Taxonomies
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The listing task, a method used in social and behavioral sciences, is frequently used in ethnobotanical research to constructfolk taxonomies and select relevant itemsfor subsequent research. The objective of the present study was to determine whether visual stimuli are associated with responses to the theme plants or if context influences the answers. Interviews were conducted with 400 women in Rio Claro, São Paulo, Brazil, in four different locations: three with a visible presence of plants (a plant store, a supermarket, and a public plaza) and one with no plants (a street corner in the center of the city). The women were asked to name plants. Analysis indicates that visual stimuli influenced responses and that this is more marked in the plant store than in the other locations. The plants cited most often-roses, orchids, ferns, violets, and daisies-were, with little variation, the same in all the locales studied.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Includes bibliography
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The main objective of this paper was to verify the influence of the organization and management in social responsibility the decision of adoption, choice, justification and implementation of innovation in elaborates of sugar, ethanol and energy companies of the midwestern state of São Paulo. Using multivariable analysis of principal components and clusters, the variables were analyzed and companies classified. Adapted to contemporary situations, the Freeman (1975) model of taxonomies was the parameter with research information in personal interviews by semi-structured questionnaires. The activities investigated were the existence of programs and organization to improve the welfare and quality of life to employees and family (leisure, culture, health, self-knowledge, values, beliefs etc.), program and social volunteering organization for the community, programs and organization to encourage the training of educators and extension education and incentive programs and organization to research and scientific production. It was concluded that the best companies which included, in their organization structures, management practices embodied in social responsibility.
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Analysis of Brazilian fishers` classifications of 24 marine (Atlantic coast) and 24 freshwater (Amazon) fish species reveals that fishers from the Atlantic coast identify fish mainly through generic names (primary lexemes), while riverine Amazonian fishers typically identify them through binomials. The similarity of Amazonian fish species seems to contribute to the detailed folk taxonomy used by riverine fishers. High-ranking groups called ""relatives"" or ""cousins"" are sorted by fishers in terms of similarities of habitat, diet, and morphology and, secondarily, behavior. The general correspondence between the folk and scientific taxonomies reinforces the reality of both the supracategories used by these fishers and the biological groups as discontinuities in nature. Given the urgency of biological inventories and the lack of knowledge of high-biodiversity environments such as the Atlantic Forest and the Amazon, these results suggest that fisher knowledge and experience could contribute to scientific research.
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The main scope of my PhD is the reconstruction of the large-scale bivalve phylogeny on the basis of four mitochondrial genes, with samples taken from all major groups of the class. To my knowledge, it is the first attempt of such a breadth in Bivalvia. I decided to focus on both ribosomal and protein coding DNA sequences (two ribosomal encoding genes -12s and 16s -, and two protein coding ones - cytochrome c oxidase I and cytochrome b), since either bibliography and my preliminary results confirmed the importance of combined gene signals in improving evolutionary pathways of the group. Moreover, I wanted to propose a methodological pipeline that proved to be useful to obtain robust results in bivalves phylogeny. Actually, best-performing taxon sampling and alignment strategies were tested, and several data partitioning and molecular evolution models were analyzed, thus demonstrating the importance of molding and implementing non-trivial evolutionary models. In the line of a more rigorous approach to data analysis, I also proposed a new method to assess taxon sampling, by developing Clarke and Warwick statistics: taxon sampling is a major concern in phylogenetic studies, and incomplete, biased, or improper taxon assemblies can lead to misleading results in reconstructing evolutionary trees. Theoretical methods are already available to optimize taxon choice in phylogenetic analyses, but most involve some knowledge about genetic relationships of the group of interest, or even a well-established phylogeny itself; these data are not always available in general phylogenetic applications. The method I proposed measures the "phylogenetic representativeness" of a given sample or set of samples and it is based entirely on the pre-existing available taxonomy of the ingroup, which is commonly known to investigators. Moreover, it also accounts for instability and discordance in taxonomies. A Python-based script suite, called PhyRe, has been developed to implement all analyses.
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Information is nowadays a key resource: machine learning and data mining techniques have been developed to extract high-level information from great amounts of data. As most data comes in form of unstructured text in natural languages, research on text mining is currently very active and dealing with practical problems. Among these, text categorization deals with the automatic organization of large quantities of documents in priorly defined taxonomies of topic categories, possibly arranged in large hierarchies. In commonly proposed machine learning approaches, classifiers are automatically trained from pre-labeled documents: they can perform very accurate classification, but often require a consistent training set and notable computational effort. Methods for cross-domain text categorization have been proposed, allowing to leverage a set of labeled documents of one domain to classify those of another one. Most methods use advanced statistical techniques, usually involving tuning of parameters. A first contribution presented here is a method based on nearest centroid classification, where profiles of categories are generated from the known domain and then iteratively adapted to the unknown one. Despite being conceptually simple and having easily tuned parameters, this method achieves state-of-the-art accuracy in most benchmark datasets with fast running times. A second, deeper contribution involves the design of a domain-independent model to distinguish the degree and type of relatedness between arbitrary documents and topics, inferred from the different types of semantic relationships between respective representative words, identified by specific search algorithms. The application of this model is tested on both flat and hierarchical text categorization, where it potentially allows the efficient addition of new categories during classification. Results show that classification accuracy still requires improvements, but models generated from one domain are shown to be effectively able to be reused in a different one.
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According to what Robert Koch termed the etiological standpoint, illnesses are best understood and controlled by focusing on their causes, including in their definitions and, thus, in the construction of their taxonomies. In some ways flawed, this standpoint has been misunderstood and misapplied. A taxonomy based solely on etiology was an unrealistic dream in the context of 'the bacteriological revolution', and it also is unrealistic in the present context of 'the genetic revolution.' We argue that the illnesses in a taxonomy of them are in some cases best defined directly in terms of their respective somatic anomalies, in some others indirectly by the unique and universal etiology of that anomaly (left unspecified) in a 'deeper' somatic anomaly, and in yet others as a combination of these; and when the somatic anomaly for direct definition remains unknown, it is to be defined indirectly by the clinical syndrome that is its patient-relevant manifestation, possibly in conjunction with a somatic cause. We note, also, that these taxonomic issues have no material bearing on epidemiologists' etiologic research for the knowledge base of community-level preventive medicine.
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Tai languages are often described as “lacking” a major lexical class “adjectives”; accordingly, they and other area languages are frequently cited as evidence against adjectival universality. This article brings the putative lack under examination, arguing that a more complete distributional analysis reveals a pattern: overlap is highest among semantically peripheral adjectives and verbs and in constructions prototypically associated to both classes crosslinguistically, and lowest among semantically core adjectives and verbs and in constructions prototypically associated to only one or the other class. Rather than “lacking” adjectives, data from Thai thus in fact support functional-typological characterizations of adjectival universality such as those of Givón (1984), Croft (2001), and Dixon (2004). Finally, while data from Thai would fail to falsify an adaptation of Enfield's (2004) Lao lexical class-taxonomy (in which adjectives are treated as a verbal subclass) on its own terms, this article argues that in absence of both universally-applicable criteria for the evaluation of categorial taxonomies crosslinguistically and evidence for the cognitive reality of categorial taxonomies so stipulated, even this more limited sense of a “lack” of adjectives in Thai is less radical a challenge to adjectival universality than has sometimes been supposed.
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Introduction: Nursing clinical credibility, a complex, abstract concept is rarely mentioned in the clinical setting, but is implicitly understood by nurses and physicians. The concept has neither been defined nor explored, despite its repeated use in literature. A review of the extant literature formed the basis for a concept analysis of nursing clinical credibility, which is currently under review for publication. ^ Methods: Using taxonomic analysis, findings of a descriptive qualitative research study in which registered nurses and physicians identified attributes of nursing clinical credibility as it applied to nurses in direct care roles in a hospital setting, formed the basis for development of taxonomies of nursing clinical credibility. A secondary review of literature was undertaken to verify congruence of the taxonomic domains with the work of previous researchers who studied credibility and source credibility. ^ Results: Three taxonomies of nursing clinical credibility emerged from the taxonomic analysis. Using an inductive approach, two separate taxonomies of nursing clinical credibility emerged; one was developed from the descriptions of nursing clinical credibility by registered nurses, and the other from physicians' descriptions of nursing clinical credibility. A third and final taxonomy reflects commonalities within both taxonomies. Three domains were consistent for both nurses and physicians: trustworthiness, expertise, and caring. The two disciplines differed in categories and emphases within the domains; however, both disciplines focused on the attributes of trustworthiness and caring, although physicians and nurses differed on components of expertise. ^ Discussion: Findings from this study of nursing clinical credibility concur with the work of previous researchers who identified trustworthiness and expertise as attributes of credibility and source credibility. Findings suggest however, that trustworthiness and expertise alone are not sufficient attributes of nursing clinical credibility. Caring emerged as an essential domain of nursing clinical credibility according to both nurses and physicians. ^ Products: Products of this research include a concept analysis, two discipline-specific taxonomies of nursing clinical credibility, a third final taxonomy, and a monograph that describes the development of the final taxonomy of nursing clinical credibility. ^
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Dentro de la rica tradición histórica de estudios acerca del De rerum natura llama la atención la diversidad de opiniones en cuanto al carácter genérico (principalmente su carácter épico y didáctico) y la finalidad o funcionalidad del poema, puesto que a su vez estos asuntos han sido puntos de inflexión del que se desprenden diversas interpretaciones del texto y aún en nuestros días genera disyuntivas entre los estudiosos. La situación no ha resultado tarea fácil, pues, mientras algunos investigadores declaran a Lucrecio como legislador de la norma didáctica, otros prefieren poner en relieve opiniones diferentes que no apuntan a considerar el poema como una obra de naturaleza didáctica. Así, pues, ante la creciente diversidad de razonamientos que se ha generado en torno a este asunto, consideramos oportuno, tanto a partir de taxonomías genéricas de la antigüedad misma, como de la moderna teoría de los géneros literarios, poner a dialogar algunas de las opiniones más relevantes sobre el particular en busca de aclarar un poco este horizonte, a la vez que agregamos a la discusión que el texto también posee un carácter didáctico en tanto que posee una estructura proléptica
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Dentro de la rica tradición histórica de estudios acerca del De rerum natura llama la atención la diversidad de opiniones en cuanto al carácter genérico (principalmente su carácter épico y didáctico) y la finalidad o funcionalidad del poema, puesto que a su vez estos asuntos han sido puntos de inflexión del que se desprenden diversas interpretaciones del texto y aún en nuestros días genera disyuntivas entre los estudiosos. La situación no ha resultado tarea fácil, pues, mientras algunos investigadores declaran a Lucrecio como legislador de la norma didáctica, otros prefieren poner en relieve opiniones diferentes que no apuntan a considerar el poema como una obra de naturaleza didáctica. Así, pues, ante la creciente diversidad de razonamientos que se ha generado en torno a este asunto, consideramos oportuno, tanto a partir de taxonomías genéricas de la antigüedad misma, como de la moderna teoría de los géneros literarios, poner a dialogar algunas de las opiniones más relevantes sobre el particular en busca de aclarar un poco este horizonte, a la vez que agregamos a la discusión que el texto también posee un carácter didáctico en tanto que posee una estructura proléptica
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Dentro de la rica tradición histórica de estudios acerca del De rerum natura llama la atención la diversidad de opiniones en cuanto al carácter genérico (principalmente su carácter épico y didáctico) y la finalidad o funcionalidad del poema, puesto que a su vez estos asuntos han sido puntos de inflexión del que se desprenden diversas interpretaciones del texto y aún en nuestros días genera disyuntivas entre los estudiosos. La situación no ha resultado tarea fácil, pues, mientras algunos investigadores declaran a Lucrecio como legislador de la norma didáctica, otros prefieren poner en relieve opiniones diferentes que no apuntan a considerar el poema como una obra de naturaleza didáctica. Así, pues, ante la creciente diversidad de razonamientos que se ha generado en torno a este asunto, consideramos oportuno, tanto a partir de taxonomías genéricas de la antigüedad misma, como de la moderna teoría de los géneros literarios, poner a dialogar algunas de las opiniones más relevantes sobre el particular en busca de aclarar un poco este horizonte, a la vez que agregamos a la discusión que el texto también posee un carácter didáctico en tanto que posee una estructura proléptica
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Background. Over the last years, the number of available informatics resources in medicine has grown exponentially. While specific inventories of such resources have already begun to be developed for Bioinformatics (BI), comparable inventories are as yet not available for Medical Informatics (MI) field, so that locating and accessing them currently remains a hard and time-consuming task. Description. We have created a repository of MI resources from the scientific literature, providing free access to its contents through a web-based service. Relevant information describing the resources is automatically extracted from manuscripts published in top-ranked MI journals. We used a pattern matching approach to detect the resources? names and their main features. Detected resources are classified according to three different criteria: functionality, resource type and domain. To facilitate these tasks, we have built three different taxonomies by following a novel approach based on folksonomies and social tagging. We adopted the terminology most frequently used by MI researchers in their publications to create the concepts and hierarchical relationships belonging to the taxonomies. The classification algorithm identifies the categories associated to resources and annotates them accordingly. The database is then populated with this data after manual curation and validation. Conclusions. We have created an online repository of MI resources to assist researchers in locating and accessing the most suitable resources to perform specific tasks. The database contained 282 resources at the time of writing. We are continuing to expand the number of available resources by taking into account further publications as well as suggestions from users and resource developers.