Estudio de los límites entre el conocimiento de la antijuricidad y el error de prohibición, proponiéndose una reducción de sus límites psicológicos al conocimiento de la prohibición penal de la conducta y del grado de certeza a la seguridad o conocimiento de la alta probabilidad de su prohibición. Sin embargo, estos límites pueden ampliarse a otros supuestos mediante la ponderación de los motivos que explican la falta de conocimiento perfecto.

É natural considerar o erro como algo que deve ser evitado, um indicador de mau desempenho. Desde pequenas, as crianças são habituadas a buscar os acertos, de forma que, quando o raciocínio está errado, elas devem refazê-lo. Tal resultado é cobrado em casa pela família e na escola pelos educadores. Porém, o erro é o mais antigo elemento no processo de aprendizagem, e, além de ser um indicador de desempenho, o erro também mostra aquilo que o aluno sabe ou pensa ter compreendido. É possível notar que alguns alunos do Ensino Médio mantêm erros e dúvidas que deveriam ter sido sanados ao longo do Ensino Fundamental. Neste trabalho, será analisado o porquê de essas dúvidas ainda se apresentarem, pois a análise desses erros pode auxiliar tanto o aluno como o professor. O aluno, com uma devolutiva do que foi feito para tentar aprimorar o seu saber e o professor, levando-o a elaborar novas estratégias didáticas e planos de ensino que melhor se adaptem ao seu público alvo. / It is expected to consider the error as something that must be avoided, a non-satisfactory performance indicator. Since childhood, the human being is used to seek the right answers, so that, when the reasoning is wrong, he/she should remake it. Such outcome is charged at home by the family and at school by the teachers. However, the error is the oldest element in the learning process and, in addition to being a performance indicator, the error also shows something that the student knows or thinks he/she has understood. It is possible to notice that some high school students make some mistakes or has some doubts that were supposed to be clarified during the elementary school. In this paper, it will be analyzed the reason why these doubts are still present, because the analysis of these errors can help both students and teachers. The students, with a feedback of what has been done to try to improve their knowledge and the teacher, leading him to design new teaching strategies and lesson plans to best suit his/her target audience.

The benefits of observing a model when acquiring a new motor skill are well known, however, there is little research on the influence of viewing angle of the model. The purpose of the present experiment was to assess whether a looking-glass (face on) or subjective (facing away) viewing angle would result in different acquisition and retention levels when learning a complex Zumba dance sequence. Greater cognitive effort was expected during the looking-glass condition, consequently resulting in slower acquisition but greater physical performance scores and error recognition/identification. Thirty females were evenly divided into the looking-glass or subjective group and began with the pre-test phase to assess degrees of motivation, self-efficacy, and physical performance. Participants were then lead through six acquisition dances, within which they performed the to-be-learned sequence 18 times. An assessment of cognitive effort followed, then post-test performances and error recognition/identification scores were obtained to conclude the study. While both the looking-glass and subjective conditions demonstrated equal rates of acquisition (p>.05), the looking-glass group performed significantly fewer errors during the post-test (p<.05) and were significantly better at identifying errors when a video of the dance sequence was shown from the same viewing angle as the acquisition phase (p<.05). No differences were reported between the two conditions with respect to cognitive effort (p>.05). Based on the results of this study, the looking-glass viewing angle appears to result in better learning of a dance sequence, but cannot be explained by cognitive effort.

Shrinking minimum feature size in deep sub-micron has made fabrication of progressively faster devices possible. The performance of interconnects has been a bottleneck in determining the overall performance of a chip. A reliable high-speed communication technique is necessary to improve the performance of on-chip communication. Recent publications have demonstrated that use of multiple threshold voltages improves the performance of a bus significantly. The multi-threshold capture mechanism takes advantage of predictable temporal behavior of a tightly coupled bus to predict the next state of the bus early. However, Use of multiple threshold voltages also reduces the voltage slack and consequently increases the susceptibility to noise. Reduction in supply voltage exacerbates the situation. This work proposes a novel error detection and correction encoding technique that takes advantage of the high performance of the multi-threshold capture mechanism as well as its inbuilt redundancy to achieve reliable high-speed communication while introducing considerably less amount of redundancy as compared to the conventional methods. The proposed technique utilizes graph-based algorithms to produce a set of valid code words. The algorithm takes advantage of implicit set operations using binary decision diagram to improve the scalability of the code word selection process. The code words of many crosstalk avoidance codes including the proposed error detection and correction technique exhibit a highly structured behavior. The sets of larger valid code words can be recursively formed using the sets of smaller valid code words. This work also presents a generalized framework for scalable on-chip code word generation. The proposed CODEC implementation strategy uses a structured graph to model the recursive nature of an encoding technique that facilitates scalable CODEC implementation. The non-enumerative nature of the implementation strategy makes it highly scalable. The modular nature of the CODEC also simplifies use of pipelined architecture thereby improving the throughput of the bus.

No description available.

Metacognition, which involves monitoring and controlling of one’s thoughts and actions, is essential for guiding behavior and organization of information. Deficits in self-monitoring have been suggested to lead to psychosis and poor functional outcome. Abnormalities in eventrelated potentials originating from the anterior cingulate cortex (ACC), a brain region associated with error detection, have been consistently reported in individuals with schizophrenia during error monitoring tasks. This study sought to examine whether these abnormalities are present in individuals with a history of psychosis across diagnostic categories and whether they are associated with subjective appraisal of self-performance and personality traits related to psychosis. The error-related negativity (ERN), the correct response negativity (CRN), and the error positivity (Pe) were recorded in 15 individuals with a history of psychosis (PSY) and 12 individuals without a history of psychosis (CTR) during performance on a flanker task. Participants also continuously rated their performance on the task and completed the Schizotypal Personality Questionnaire – Brief Revised (SPQ-BR). Compared with the CTR group, the PSY group exhibited reduced ERN and Pe amplitudes during error trials, but normal CRN and Pe amplitudes during correct trials. The PSY group also was less accurate at identifying their errors than the CTR group but just as accurate at identifying correct responses. Across all participants, smaller ERN amplitudes were associated with greater scores on the Disorganized factor of the SPQ-BR and smaller Pe amplitudes were associated with greater scores on the Cognitive Perceptual factor of the SPQ-BR. Individuals with a history of psychosis regardless of diagnosis demonstrated abnormal neural activity during error monitoring. Error monitoring deficits may be associated with vulnerability for psychosis across disorders.

Computational Fluid Dynamics (CFD) has been widely used as a tool to analyze physical phenomena involving fluids. To perform a CFD simulation, the governing equations are discretized to formulate a set of nonlinear algebraic equations. Typical spatial discretization schemes include finite-difference methods, finite-volume methods, and finite-element methods. Error introduced in the discretization process is called discretization error and defined as the difference between the exact solution to the discrete equations and the exact solution to the partial differential or integral equations. For most CFD simulations, discretization error accounts for the largest portion of the numerical error in the simulation. Discretization error has a complicated nonlinear relationship with the computational grid and the discretization scheme, which makes it especially difficult to estimate. Thus, it is important to study the discretization error to characterize numerical errors in a CFD simulation. Discretization error estimation is performed using the Error Transport Equations (ETE) in this work. The original nonlinear form of the ETE can be linearized to formulate the linearized ETE. Results of the two types of the ETE are compared. This work implements the ETE for finite-volume methods and Discontinuous Galerkin (DG) finite-element methods. For finite volume methods, discretization error estimates are obtained for both steady state problems and unsteady problems. The work on steady-state problems focuses on turbulent flow modelled by the Spalart-Allmaras (SA) model and Menter's $k-omega$ SST model. Higher-order discretization error estimates are obtained for both the mean variables and the turbulence working variables. The type of pseudo temporal discretization used for the steady-state problems does not have too much influence on the final converged solution. However, the temporal discretization scheme makes a significant difference for unsteady problems. Different temporal discretizations also impact the ETE implementation. This work discusses the implementation of the ETE for the 2-step Backward Difference Formula (BDF2) and the Singly Diagonally Implicit Runge-Kutta (SDIRK) methods. Most existing work on the ETE focuses on finite-volume methods. This work also extends ETE to work with the DG methods and tests the implementation with steady state inviscid test cases. The discretization error estimates for smooth test cases achieve the expected order of accuracy. When the test case is non-smooth, the truncation error estimation scheme fails to generate an accurate truncation error estimate. This causes a reduction of the discretization error estimate to first-order accuracy. Discussions are made on how accurate truncation error estimates can be found for non-smooth test cases. / Doctor of Philosophy / For a general practical fluid flow problem, the governing equations can not be solved analytically. Computational Fluid Dynamics (CFD) approximates the governing equations by a set of algebraic equations that can be solved directly by the computer. Compared to experiments, CFD has certain advantages. The cost for running a CFD simulation is typically much lower than performing an experiment. Changing the conditions and geometry is usually easier for a CFD simulation than for an experiment. A CFD simulation can obtain information of the entire flow field for all field variables, which is nearly impossible for a single experiment setup. However, numerical errors are inherently persistent in CFD simulations due to the approximations made in CFD and finite precision arithmetic of the computer. Without proper characterization of errors, the accuracy of the CFD simulation can not be guaranteed. Numerical errors can even result in false flow features in the CFD solution. Thus, numerical errors need to be carefully studied so that the CFD simulation can provide useful information for the chosen application. The focus of this work is on numerical error estimation for the finite-volume method and the Discontinuous Galerkin (DG) finite-element method. In general, discretization error makes the most significant contribution to the numerical error of a CFD simulation. This work estimates discretization error by solving a set of auxiliary equations derived for the discretization error of a CFD solution. Accurate discretization error estimates are obtained for different test cases. The work on the finite-volume method focus on discretization error estimation for steady state turbulent test cases and unsteady test cases. To the best of the author's knowledge, the implementation of the current discretization error estimation scheme has only been applied as an intermediate step for the error estimation of functionals for the DG method in the literature. Results for steady-state inviscid test cases for the DG method are presented.

No description available.

Computational fluid dynamics (CFD) has proven to be an invaluable tool for both engineering design and analysis. As the performance of engineering devices become more reliant upon the accuracy of CFD simulations, it is necessary to not only quantify and but also to reduce the numerical error present in a solution. Discretization error is often the primary source of numerical error. Discretization error is introduced locally into the solution by truncation error. Truncation error represents the higher order terms in an infinite series which are truncated during the discretization of the continuous governing equations of a model. Discretization error can be reduced through uniform grid refinement but is often impractical for typical engineering problems. Grid adaptation provides an efficient means for improving solution accuracy without the exponential increase in computational time associated with uniform grid refinement. Solution accuracy can be improved through local grid refinement, often referred to as h-adaptation, or by node relocation in the computational domain, often referred to as r-adaptation. The goal of this work is to examine the effectiveness of several r-adaptation techniques for reducing discretization error. A framework for geometry preservation is presented, and truncation error is used to drive adaptation. Sample problems include both subsonic and supersonic inviscid flows. Discretization error reductions of up to an order of magnitude are achieved on adapted grids. / Master of Science

With the latest reauthorization of the Magnuson-Stevens Fishery Conservation and Management Act (MSA) and the precarious state of many of the nation's fisheries, it has become essential to incorporate uncertainty in the process of setting annual catch limits (ACLs) and annual catch targets (ACTs). The accuracy with which we predict landings can be thought of as management uncertainty, and it can be estimated by comparing the predicted landings intended by a regulation to the fisheries\' actual landings estimates. The National Standard 1 Guidelines for the MSA state that management regulations should take into account management uncertainty when establishing ACLs or ACTs, prescribing more precaution when management uncertainty is high. This study compared pre-season landings predictions of managed fish species in the South Atlantic to post-season estimates and investigated the existence of management uncertainty, and evaluated its magnitude and direction. Results indicate that the magnitude of management uncertainty for some stocks in the region may be significant. It appears that recreational fisheries have significantly greater management uncertainty than commercial fisheries, and that commercial fisheries are often producing landings smaller than intended or predicted. No relationship was found between regulatory mechanism or the magnitude of a fishery and management uncertainty. The study also revealed that documentation of the methodology used to determine preseason catch estimates is often not sufficient to repeat estimation procedures. The results of this study will have immediate and direct utility in the setting of future management regulations, ACLs, and ACTs in the South Atlantic region, and perhaps beyond. / Master of Science