Characteristics of physicians : December 31, 1975 /

Chiefly tables.

BEM-ESTAR SUBJETIVO E AUTOEFICÁCIA EM DEPENDENTES DE COCAÍNA/CRACK

Este estudo teve por objetivo identificar e descrever associações entre bem-estar subjetivo, construto formado por satisfação geral com a vida e afetos positivos e negativos,e autoeficáciapara abstinência de drogas em dependentes de cocaína/crack em processo de abstinência. Utilizou, para avaliar as variáveis, as Escalas de Afetos Positivos e Negativos, de Satisfação Geral com a Vida, de Autoeficácia para Abstinência de Drogas, de Avaliação para Mudança da Universidade de Rhode Island e um questionário de dados sócio-demográficos e socioculturais. Participaram 70 homens, dependentes de cocaína/crack, jovens e de baixa escolaridade.Eram pessoas de rendimentos de até três salários mínimos (63%), que foram internadas mais de uma vez (65%), autodeclaradas abstinentes no momento da coleta dos dados. Os participantes possuíam níveis médiosde autoeficácia para abstinência de drogas, níveis baixos de bem-estar subjetivo, e estavam satisfeitos com suas vidas. Cálculos de correlação de Pearson revelaram que não há associação entre bem-estar subjetivoe autoeficácia para abstinência de drogas, entre prontidão para mudança no consumo de drogas e bem-estar subjetivo, nem entre prontidão para mudança no consumo de drogas eautoeficácia para abstinência de drogas. Resultados de análise de variância revelaram que não houve diferençasnos níveis de bem-estar subjetivo entreos diferentes os agrupamentos de prontidão para mudanças nem entre as médias de autoeficácia para abstinência de drogas entre os diferentes agrupamentos de prontidão para mudanças no consumo de drogas. A discussão abordou os resultados diante do fato de a internação dos participantes ter sido involuntária ou voluntária, do tempo de internação, do seu estágio de prontidão para mudar seu comportamento de consumo de drogas e das características de seu grupo de abstinência diante da literatura da área. Finalmente, apontou, em conclusão, limitações e agenda de pesquisa futura.

Actions for declaratory or injunctive relief by the Corporate Regulator under s 471B of the Corporations Act

This article by Ben McEniery discusses the matters a court will consider when leave to commence or proceed against a company in liquidation is sought not by a creditor seeking to prove a debt, but by the corporate regulator pursuing declaratory or injunctive relief.

Feature-domain super-resolution framework for gabor-based face and iris recognition

The low resolution of images has been one of the major limitations in recognising humans from a distance using their biometric traits, such as face and iris. Superresolution has been employed to improve the resolution and the recognition performance simultaneously, however the majority of techniques employed operate in the pixel domain, such that the biometric feature vectors are extracted from a super-resolved input image. Feature-domain superresolution has been proposed for face and iris, and is shown to further improve recognition performance by capitalising on direct super-resolving the features which are used for recognition. However, current feature-domain superresolution approaches are limited to simple linear features such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), which are not the most discriminant features for biometrics. Gabor-based features have been shown to be one of the most discriminant features for biometrics including face and iris. This paper proposes a framework to conduct super-resolution in the non-linear Gabor feature domain to further improve the recognition performance of biometric systems. Experiments have confirmed the validity of the proposed approach, demonstrating superior performance to existing linear approaches for both face and iris biometrics.

Improved facial expression recognition via uni-hyperplane classification

Large margin learning approaches, such as support vector machines (SVM), have been successfully applied to numerous classification tasks, especially for automatic facial expression recognition. The risk of such approaches however, is their sensitivity to large margin losses due to the influence from noisy training examples and outliers which is a common problem in the area of affective computing (i.e., manual coding at the frame level is tedious so coarse labels are normally assigned). In this paper, we leverage the relaxation of the parallel-hyperplanes constraint and propose the use of modified correlation filters (MCF). The MCF is similar in spirit to SVMs and correlation filters, but with the key difference of optimizing only a single hyperplane. We demonstrate the superiority of MCF over current techniques on a battery of experiments.

General trajectory prior for non-rigid reconstruction

Trajectory basis Non-Rigid Structure From Motion (NRSFM) currently faces two problems: the limit of reconstructability and the need to tune the basis size for different sequences. This paper provides a novel theoretical bound on 3D reconstruction error, arguing that the existing definition of reconstructability is fundamentally flawed in that it fails to consider system condition. This insight motivates a novel strategy whereby the trajectory's response to a set of high-pass filters is minimised. The new approach eliminates the need to tune the basis size and is more efficient for long sequences. Additionally, the truncated DCT basis is shown to have a dual interpretation as a high-pass filter. The success of trajectory filter reconstruction is demonstrated quantitatively on synthetic projections of real motion capture sequences and qualitatively on real image sequences.

Energy-efficient redundant execution for chip multiprocessors

Relentless CMOS scaling coupled with lower design tolerances is making ICs increasingly susceptible to wear-out related permanent faults and transient faults, necessitating on-chip fault tolerance in future chip microprocessors (CMPs). In this paper, we describe a power-efficient architecture for redundant execution on chip multiprocessors (CMPs) which when coupled with our per-core dynamic voltage and frequency scaling (DVFS) algorithm significantly reduces the energy overhead of redundant execution without sacrificing performance. Our evaluation shows that this architecture has a performance overhead of only 0.3% and consumes only 1.48 times the energy of a non-fault-tolerant baseline.

Mechanism design for cost optimal PAC learning in the presence of strategic noisy annotators

We consider the problem of Probably Ap-proximate Correct (PAC) learning of a bi-nary classifier from noisy labeled exam-ples acquired from multiple annotators(each characterized by a respective clas-sification noise rate). First, we consider the complete information scenario, where the learner knows the noise rates of all the annotators. For this scenario, we derive sample complexity bound for the Mini-mum Disagreement Algorithm (MDA) on the number of labeled examples to be ob-tained from each annotator. Next, we consider the incomplete information sce-nario, where each annotator is strategic and holds the respective noise rate as a private information. For this scenario, we design a cost optimal procurement auc-tion mechanism along the lines of Myer-son’s optimal auction design framework in a non-trivial manner. This mechanism satisfies incentive compatibility property,thereby facilitating the learner to elicit true noise rates of all the annotators.

Guidance for benthic habitat mapping: an aerial photographic approach

This document, Guidance for Benthic Habitat Mapping: An Aerial Photographic Approach, describes proven technology that can be applied in an operational manner by state-level scientists and resource managers. This information is based on the experience gained by NOAA Coastal Services Center staff and state-level cooperators in the production of a series of benthic habitat data sets in Delaware, Florida, Maine, Massachusetts, New York, Rhode Island, the Virgin Islands, and Washington, as well as during Center-sponsored workshops on coral remote sensing and seagrass and aquatic habitat assessment. (PDF contains 39 pages) The original benthic habitat document, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation (Dobson et al.), was published by the Department of Commerce in 1995. That document summarized procedures that were to be used by scientists throughout the United States to develop consistent and reliable coastal land cover and benthic habitat information. Advances in technology and new methodologies for generating these data created the need for this updated report, which builds upon the foundation of its predecessor.