954 resultados para Training Models


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Co-training is a semi-supervised learning method that is designed to take advantage of the redundancy that is present when the object to be identified has multiple descriptions. Co-training is known to work well when the multiple descriptions are conditional independent given the class of the object. The presence of multiple descriptions of objects in the form of text, images, audio and video in multimedia applications appears to provide redundancy in the form that may be suitable for co-training. In this paper, we investigate the suitability of utilizing text and image data from the Web for co-training. We perform measurements to find indications of conditional independence in the texts and images obtained from the Web. Our measurements suggest that conditional independence is likely to be present in the data. Our experiments, within a relevance feedback framework to test whether a method that exploits the conditional independence outperforms methods that do not, also indicate that better performance can indeed be obtained by designing algorithms that exploit this form of the redundancy when it is present.

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Vascular surgical training currently has to cope with various challenges, including restrictions on work hours, significant reduction of open surgical training cases in many countries, an increasing diversity of open and endovascular procedures, and distinct expectations by trainees. Even more important, patients and the public no longer accept a "learning by doing" training philosophy that leaves the learning curve on the patient's side. The Vascular International (VI) Foundation and School aims to overcome these obstacles by training conventional vascular and endovascular techniques before they are applied on patients. To achieve largely realistic training conditions, lifelike pulsatile models with exchangeable synthetic arterial inlays were created to practice carotid endarterectomy and patch plasty, open abdominal aortic aneurysm surgery, and peripheral bypass surgery, as well as for endovascular procedures, including endovascular aneurysm repair, thoracic endovascular aortic repair, peripheral balloon dilatation, and stenting. All models are equipped with a small pressure pump inside to create pulsatile flow conditions with variable peak pressures of ~90 mm Hg. The VI course schedule consists of a series of 2-hour modules teaching different open or endovascular procedures step-by-step in a standardized fashion. Trainees practice in pairs with continuous supervision and intensive advice provided by highly experienced vascular surgical trainers (trainer-to-trainee ratio is 1:4). Several evaluations of these courses show that tutor-assisted training on lifelike models in an educational-centered and motivated environment is associated with a significant increase of general and specific vascular surgical technical competence within a short period of time. Future studies should evaluate whether these benefits positively influence the future learning curve of vascular surgical trainees and clarify to what extent sophisticated models are useful to assess the level of technical skills of vascular surgical residents at national or international board examinations. This article gives an overview of our experiences of >20 years of practical training of beginners and advanced vascular surgeons using lifelike pulsatile vascular surgical training models.

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Monteiro, AG, Aoki, MS, Evangelista, AL, Alveno, DA, Monteiro, GA, Picarro, IDC, and Ugrinowitsch, C. Nonlinear periodization maximizes strength gains in split resistance training routines. J Strength Cond Res 23(4): 1321-1326, 2009-The purpose of our study was to compare strength gains after 12 weeks of nonperiodized (NP), linear periodized (LP), and nonlinear periodized (NLP) resistance training models using split training routines. Twenty-seven strength-trained men were recruited and randomly assigned to one of 3 balanced groups: NP, LP, and NLP. Strength gains in the leg press and in the bench press exercises were assessed. There were no differences between the training groups in the exercise pre-tests (p > 0.05) (i.e., bench press and leg press). The NLP group was the only group to significantly increase maximum strength in the bench press throughout the 12-week training period. In this group, upper-body strength increased significantly from pre-training to 4 weeks (p < 0.0001), from 4 to 8 weeks (p = 0.004), and from 8 weeks to the post-training (p < 0.02). The NLP group also exhibited an increase in leg press 1 repetition maximum at each time point (pre-training to 4 weeks, 4-8 week, and 8 weeks to post-training, p < 0.0001). The LP group demonstrated strength increases only after the eight training week (p = 0.02). There were no further strength increases from the 8-week to the post-training test. The NP group showed no strength increments after the 12-week training period. No differences were observed in the anthropometric profiles among the training models. In summary, our data suggest that NLP was more effective in increasing both upper- and lower-body strength for trained subjects using split routines.

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What's known on the subject? and What does the study add? One area of particular growth for robotic surgery has been partial nephrectomy. Despite a perceived notion that robotic-assisted partial nephrectomy is more easily adaptable compared to laparoscopic partial nephrectomy, there is nonetheless an associated learning curve. Validated training models with a corresponding assessment method for robotic-assisted partial nephrectomy were previously unavailable. We have designed and validated a RAPN surgical model appropriate for resident and fellow training.

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Training models in clinical psychology vary across regions, as do the laws that regulate professional practice in psychology. Standards for practice and for entry into professional practice may endure past the point of utility in the face of changing health-care systems and evolving international considerations. Herein the authors review aspects of the Australian 4-year training model, including qualifications for entry to the profession, supervision, and the influence of the profession and the universities in maintaining and in changing to a new training model. Aspects of training in clinical psychology in Australia are also discussed, and the Australian and New Zealand accreditation models are contrasted. Suggestions on ways to move forward are offered.

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State-of-the-art NLP systems are generally based on the assumption that the underlying models are provided with vast datasets to train on. However, especially when working in multi-lingual contexts, datasets are often scarce, thus more research should be carried out in this field. This thesis investigates the benefits of introducing an additional training step when fine-tuning NLP models, named Intermediate Training, which could be exploited to augment the data used for the training phase. The Intermediate Training step is applied by training models on NLP tasks that are not strictly related to the target task, aiming to verify if the models are able to leverage the learned knowledge of such tasks. Furthermore, in order to better analyze the synergies between different categories of NLP tasks, experimentations have been extended also to Multi-Task Training, in which the model is trained on multiple tasks at the same time.

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This article deals with the theme of teacher training from the historical and theoretical perspectives. In the first part, the historical focus is introduced and the trajectory of teacher training in Brazil is examined, dividing it into six periods beginning with the passing of the Law of Schools of First Letters in 1827 and closing with the promulgation of the new law for national education in 1996. The second part deals with theoretical aspects, considering the two basic models of teacher training, their implications for the training of teachers of primary and pre-school education, the dilemma resulting from the contraposition between the two models and the way for overcoming it and concluding with observations on the training of teachers for special education.

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física

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The classical approach to predicting the geographical extent of species invasions consists of training models in the native range and projecting them in distinct, potentially invasible areas. However, recent studies have demonstrated that this approach could be hampered by a change of the realized climatic niche, allowing invasive species to spread into habitats in the invaded ranges that are climatically distinct from those occupied in the native range. We propose an alternative approach that involves fitting models with pooled data from all ranges. We show that this pooled approach improves prediction of the extent of invasion of spotted knapweed (Centaurea maculosa) in North America on models based solely on the European native range. Furthermore, it performs equally well on models based on the invaded range, while ensuring the inclusion of areas with similar climate to the European niche, where the species is likely to spread further. We then compare projections from these models for 2080 under a severe climate warming scenario. Projections from the pooled models show fewer areas of intermediate climatic suitability than projections from the native or invaded range models, suggesting a better consensus among modelling techniques and reduced uncertainty.

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This thesis presents a statistical framework for object recognition. The framework is motivated by the pictorial structure models introduced by Fischler and Elschlager nearly 30 years ago. The basic idea is to model an object by a collection of parts arranged in a deformable configuration. The appearance of each part is modeled separately, and the deformable configuration is represented by spring-like connections between pairs of parts. These models allow for qualitative descriptions of visual appearance, and are suitable for generic recognition problems. The problem of detecting an object in an image and the problem of learning an object model using training examples are naturally formulated under a statistical approach. We present efficient algorithms to solve these problems in our framework. We demonstrate our techniques by training models to represent faces and human bodies. The models are then used to locate the corresponding objects in novel images.

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This research had as its guiding question: what theoretical and structural milestone of graduation nursing curriculum of public universities in the State of Rio Grande do Norte? The objectives of this study were: Analyze theoretical and structural milestones of graduation nursing curriculum of public universities in the State of Rio Grande do Norte; Identify the theoretical milestone and training models that guide the structural milestones of nursing curriculum courses of public universities studied; Analyze the training concepts of curriculums from the voices of the coordinators of the courses. This is a qualitative study, analytical, with discussions of the documentary and empirical research. Ten teachers participated who act as coordinators of the graduation courses in nursing or academic advisors, in UFRNCentral Campus in Natal and Health Sciences College (Facisa), in Santa Cruz-and on UERN -Campus Caicó, Mossoró and Pau dos Ferros. The information collected by interview was analyzed by sociology or symbolic cartography of Boaventura de Sousa Santos. The research was approved by the Research Ethics Committee of the UERN by the CAAE: 03610912.7.0000.5294. All the participants signed the Free Consent and clarified Term The results and discussion were presented in four scientific articles. The first article, titled the Pedagogical projects in nursing analysis in the light of the symbolic cartography, features the use of cartographic method in the researches and in the study of nursing curriculums. In the article The Analysis of theoretical-philosophical, structural and referential milestones in nursing curriculums, these milestones are renowned in curriculums of UERN and UFRN. The main challenges faced in the implementation of supervised internship in nursing provide a reflection on the difficulties that the internship supervisors present, especially with the relationship between education/service and the articulation theory/practice. In the last article are discussed the changes in nursing training from the former student profile, who won a boost from the curricular changes proposed by the national curriculum guidelines. The study concluded, by the analysis of theoretical and structural milestones of nursing curriculum courses of public universities of Rio Grande do Norte, that there is an explicit intention to train nurses for the health system and a search on innovative teaching projects in accordance with the national curriculum guidelines for the area of nursing. The thesis defended in this investigation was that the curriculum of public institutions of higher education in nursing in the State of Rio Grande do Norte advanced from a training focusing on biologicist model, flexneriana guidelines, for teaching able to articulate the health with the social, political and cultural issues

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)