946 resultados para co-operative advantage
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Pós-graduação em Educação - FFC
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Pós-graduação em Cirurgia Veterinária - FCAV
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The hunting behavior of leopard seals Hydrurga leptonyx was monitored opportunistically at Seal Island, South Shetland Islands, during the austral summers from 1986/87 to 1994/95. Leopard seals used several methods to catch Antarctic fur seal pups Arctocephalus gazella and chinstrap penguins Pygoscelis antarctica, and individuals showed different hunting styles and hunting success. One to two leopard seals per year were responsible for an average of 60% of observed captures of fur seal pups. Leopard seals preyed on penguins throughout the summer, but preyed on fur seal pups only between late December and mid-February. Hunting behavior differed significantly between different locations on the island; fur seals were hunted only at one colony, and penguins were hunted in several areas. The relative abundance of prey types, size of prey in relation to predator, and specialization of individual leopard seals to hunt fur seal prey probably influence individual prey preferences among leopard seals. On five occasions, two leopard seals were seen together on Seal Island. Possible interpretations of the relationship between the interacting leopard seals included a mother-offspring relationship, a consorting male-female pair, and an adult leopard seal followed by an unrelated juvenile. In two incidents at Seal Island, two leopard seals were observed interacting while hunting: one seal captured fur seal pups and appeared to release them to the other seal. Observations of leopard seals interacting during hunting sessions were difficult to confirm as co-operative hunting, but they strongly implied that the two seals were not agonistic toward one another. The hunting success of individual leopard seals pursuing penguins or fur seals is probably high enough for co-operative hunting not to become a common hunting strategy; however, it may occur infrequently when it increases the hunting productivity of the seals.
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The police interview is one of the most important investigative tools that law enforcement has close at hand, and police interview methods have changed during the twentieth century. A good police interview is conducted in the frame of the law, is governed by the interview goal, and is influenced by facilitating factors that may affect the elicited report. The present doctoral dissertation focuses on police interviews in cases of very serious crimes of violence and sexual offences. Results reveal crime victims’ and perpetrators’ experiences of being interviewed and police officers’ attitudes towards conducting interviews related to traumatizing crimes. Study 1 revealed that when police officers interviewed murderers and sexual offenders, the interviewees perceived attitudes characterized by either dominance or humanity. Police interviews marked by dominance and suspects’ responses of anxiety were mainly associated with a higher proportion of denials, whereas an approach marked by humanity, and responses of being respected were significantly associated with admissions. In line with Study 1, the victims of rape and aggravated assault in Study 2 also revealed the experience of two police interview styles, where an interviewing style marked by dominance and responses of anxiety was significantly associated with crime victims’ omissions of information. Moreover, a humanitarian interviewing style, and crime victims’ feelings of being respected and co-operative, was significantly related to crime victims providing all information from painful events. Special squad police officers’ attitudes towards interviewing crime victims, in Study 3, also showed a humanitarian approach and two dominant approaches, one affective and the other refusing. The attitude towards interviewing suspects of crimes in focus revealed humanitarian and dominant interviewing attitudes, and an approach marked by kindness. The present thesis shows that, during their entire career, an overwhelming majority of the special squad police officers have experienced stressful events during patrol as well as investigative duty. Results show that symptoms from stressful event exposures and coping mechanisms are associated with negative attitudes towards interviewing suspects and supportive attitudes towards crime victim interviews. Thus, experiences from stressful exposures may automatically activate ego-defensive functions that automatically generate dominant attitudes. Moreover, it is important to offer police officers who have been exposed to stressful events the opportunity to work through their experiences, for example, through debriefing procedures. After debriefings, police officers are better prepared to meet crime victims and suspects and, through conscious closed-loop processes, to conduct police interviews without awaking ego-defensive functions.
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A new agenda has been coalescing for residential liberal arts education in the United States. At its core are various forms of experiential learning that had long been relegated to the margins of institutions in which pure intellectual achievement was largely separated from, and prized above, practical application of knowledge. Recent years have brought growing student interest in opportunities to engage in experiential learning, including community service, internships, student-faculty research partnerships, study abroad, or co-operative education. All types of colleges and universities have been investing in these programs and in curricular modifications intended to begin integrating them into a coherent educational program. With support from several major associations, foundations, and research collaborations, this twenty-first century reframing of the aims of education has included a persistent call for better evaluative data to gauge the extent to which college students are actually meeting learning goals that faculty are being encouraged to specify more fully.
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A new agenda has been coalescing for residential liberal arts education in the United States. At its core are various forms of experiential learning that had long been relegated to the margins of institutions in which pure intellectual achievement was largely separated from, and prized above, practical application of knowledge. Recent years have brought growing student interest in opportunities to engage in experiential learning, including community service, internships, student-faculty research partnerships, study abroad, or co-operative education. All types of colleges and universities have been investing in these programs and in curricular modifications intended to begin integrating them into a coherent educational program. With support from several major associations, foundations, and research collaborations, this twenty-first century reframing of the aims of education has included a persistent call for better evaluative data to gauge the extent to which college students are actually meeting learning goals that faculty are being encouraged to specify more fully.
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Social work is more involved in the collective life of its clientele than are other human service activities, because it is directly concerned with the bonds and conflicts between individuals, and the co-operative and competitive aspects of groups and communities. Hence it relies on being sited in organisations relevant to service users' lives, and on being able to influence these collectivities. This article argues that the 'organisational landscape' is being transformed, as commercial enterprises (more mobile and adaptable than either state or non-government organisations) take over important aspects of collective provision. The implications of this transformation for practice are analysed, by reference to examples from the United Kingdom in particular.
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The prenatal development of neural circuits must provide sufficient configuration to support at least a set of core postnatal behaviors. Although knowledge of various genetic and cellular aspects of development is accumulating rapidly, there is less systematic understanding of how these various processes play together in order to construct such functional networks. Here we make some steps toward such understanding by demonstrating through detailed simulations how a competitive co-operative ('winner-take-all', WTA) network architecture can arise by development from a single precursor cell. This precursor is granted a simplified gene regulatory network that directs cell mitosis, differentiation, migration, neurite outgrowth and synaptogenesis. Once initial axonal connection patterns are established, their synaptic weights undergo homeostatic unsupervised learning that is shaped by wave-like input patterns. We demonstrate how this autonomous genetically directed developmental sequence can give rise to self-calibrated WTA networks, and compare our simulation results with biological data.
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Herbert E Wright Jr was one of the foremost Quaternary scientists of the last century. He made wide ranging contributions to our understanding of the late-Quaternary of North and South America, Europe, Asia and Africa. This was based largely on reconstructing palaeoenvironments from lake sediments and included the important implications for glacial, vegetational, fire and climatic history, geoarchaeology and conservation. Many of his inter-disciplinary research projects involved fieldwork with his graduate students and co-workers from the University of Minnesota where he created and led the renowned Limnological Research Center. Perhaps his most outstanding contribution was as an instigator of the Co-operative Holocene Mapping Project (COHMAP). This triggered a paradigm shift in Holocene climatic research involving the comparison of climate-model simulations of past climates with palaeoclimatic data.
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Urban forest health was surveyed on Roznik in Ljubljana (46.05141 N, 14.47797 E) in 2013 by two methods: ICP Forests and UFMO. ICP Forests is most commonly used monitoring programme in Europe - the International Co-operative Programme on the Assessment and Monitoring of Air Pollution Effects on Forests, which is based on systematic grid. UFMO method - Urban Forests Management Oriented method was developed in the frame of EMoNFUr Project - Establishing a monitoring network to assess lowland forest and urban plantations in Lombardy and urban forest in Slovenia (LIFE10 ENV/IT/000399). UFMO is based on non-linear transects (GPS tracks). ICP forests monitoring plots were established in July 2013 in the urban forest Roznik in Ljubljana .The 32 plots are located on sampling grid 500 × 500 m. The grid was down-scaled from the National Forest Monitoring survey, which bases on national sample grid 4 × 4 km. With the ICP forests method the following parameters for each tree within the 15 plots were gathered according to the ICP forests manual for Visual assessment of crown condition and damaging agents: tree species, percentage of defoliation, affected part of the tree, specification of affected part, location in crown, symptom, symptom specification, causal agents / factors, age of damage, damage extent, and damage extent on the trunk. With the UFMO method, the following parameters for each tree that needed sylviculture measure (felling, pruning, sanitary felling, thinning, etc.) were recorded: tree species, breast diameter, causal agent / damaging factor, GPS waypoint and GPS track. For overall picture in the urban forest health problems, also other biotic and abiotic damaging factors that did not require management action were recorded.
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Social behaviour is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive models in the way that individuals die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic back propagation algorithm. The performance of a neural network for particular problems is critically dependant on the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing the topology and structure of connectivity for these networks.
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Due to the fast rate of peach post-harvest ripening, damage due to mechanical handling, externally appreciated as bruises and soft areas, is a real problem that leads to an early harvesting and poor quality of the fruits, as perceived by the consumers. More and more, the European consumer asks for good taste and freshness of fruits and vegetables, and these quality factors are not included in standards, nor in most of the producers' practices. Fruit processing and marketing centres (co-operatives) are increasingly interested in adopting quality controls in their processes. ISO 9000 procedures are being applied in some food areas, primarily milk and meat processors, but no generalised procedures have been developed until the present time to be applied to fresh product processes. All different peach and nectarine varieties that are harvested and handled in Murcia cooperatives and sold in a large supermarket in Madrid were analysed during the whole 1997 season (early May to late August). A total number of 78 samples of 25 fruits (co-operative) or 10 fruits (market), were tested in the laboratory for mechanical, optical, chemical and tasting quality. The variability and relationships between all these quality parameters are presented and discussed, and sampling unit sizes which would be advisable for quality control are calculated.
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Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive models in the way that individuals die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic back propagation algorithm. The performance of a neural network for particular problems is critically dependant on the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing the topology and structure of connectivity for these networks