91-year-old demonstrates for lower rents as she faces eviction

General note: Title and date provided by Bettye Lane.

Introducing molaR: a New R Package for Quantitative Topographic Analysis of Teeth (and Other Topographic Surfaces)

© 2016 Springer Science+Business Media New YorkResearchers studying mammalian dentitions from functional and adaptive perspectives increasingly have moved towards using dental topography measures that can be estimated from 3D surface scans, which do not require identification of specific homologous landmarks. Here we present molaR, a new R package designed to assist researchers in calculating four commonly used topographic measures: Dirichlet Normal Energy (DNE), Relief Index (RFI), Orientation Patch Count (OPC), and Orientation Patch Count Rotated (OPCR) from surface scans of teeth, enabling a unified application of these informative new metrics. In addition to providing topographic measuring tools, molaR has complimentary plotting functions enabling highly customizable visualization of results. This article gives a detailed description of the DNE measure, walks researchers through installing, operating, and troubleshooting molaR and its functions, and gives an example of a simple comparison that measured teeth of the primates Alouatta and Pithecia in molaR and other available software packages. molaR is a free and open source software extension, which can be found at the doi:10.13140/RG.2.1.3563.4961(molaR v. 2.0) as well as on the Internet repository CRAN, which stores R packages.

Comparison between local anaesthetic agents, lidocaine and bupivacaine, in patients undergoing third molar extraction in terms of patient satisfaction.

AIMS: (1) To determine if anaesthetic agent bupivacaine, has a prolonged effect on the period of acute postoperative pain when compared to lidocaine, a shorter acting agent. (2) To determine patient’s post-operative satisfaction and preference with regard to anaesthetic choice. METHODS: This double blind, randomised, interventional clinical trial included 85 patients. All patients had bilateral impacted lower third molars of removed under general anaesthetic. All patients received 0.5% plain bupivacaine on one randomly allocated side, with 2% lidocaine (with adrenaline) administered on the opposite side. Pain was measured using visual analogue scales at 0, 30, 60 minutes and 3, 4, 6 and 8 hours post-surgery. Pain was analysed for 1 week following surgery. Psychological evaluations and patient reported outcomes, including patient satisfaction were evaluated. RESULTS: A significant difference in pain (P=0.001) was seen during the 3-8 hour post-operative period. The upper limit of the 95% confidence interval was 10.0 or above at 3hours and 4 hours post-surgery. Two-thirds of patients preferred bupivacaine. CONCLUSION: Longer lasting anaesthetics such as bupivacaine offer a longer period of analgesia, and improve overall patient satisfaction.

David Farnham, The Changing Faces of Employment Relations: Global, Comparative and Theoretical Perspectives

David Farnham, The Changing Faces of Employment Relations: Global, Comparative and Theoretical Perspectives, London: Palgrave Macmillan, 2015; 672 pp., ISBN 978-1-137-02712-2, £42.99 (pbk).

Real-time detection of faces in video streams

[EN]This paper describes a face detection system which goes beyond traditional approaches normally designed for still images. First the video stream context is considered to apply the detector, and therefore, the resulting system is designed taking into consideration a main feature available in a video stream, i.e. temporal coherence. The resulting system builds a feature based model for each detected face, and searches them using various model information in the next frame. The results achieved for video stream processing outperform Rowley-Kanade's and Viola-Jones' solutions providing eye and face data in a reduced time with a notable correct detection rate.

ENCARA: real-time detection of frontal faces

[EN]This paper describes a real-time approach for face detection and selection of frontal views, for further processing. Typically, face detection papers provide results for a set of single images but the problem of face detection in video streams rarely is tackled. Instead of performing an exhaustive search for every video stream frame a set of opportunistic ideas applied in a cascade fashion and based on temporal and spatial coherence provide promising results in real-time.

Detection of frontal faces in video streams

[EN]This paper describes an approach for detection of frontal faces in real time (20-35Hz) for further processing. This approach makes use of a combination of previous detection tracking and color for selecting interest areas. On those areas, later facial features such as eyes, nose and mouth are searched based on geometric tests, appearance veri cation, temporal and spatial coherence. The system makes use of very simple techniques applied in a cascade approach, combined and coordinated with temporal information for improving performance. This module is a component of a complete system designed for detection, tracking and identi cation of individuals [1].

Before characterizing faces

[EN]This paper describes the approach for face detection and selection of frontal views, for further processing. This approach based on color detection and symmetry operator application, is integrated in an Active Vision System o ering promising results just making use of some opportunistic skills.

Learning to recognize faces incrementally

[EN]Most face recognition systems are based on some form of batch learning. Online face recognition is not only more practical, it is also much more biologically plausible. Typical batch learners aim at minimizing both training error and (a measure of) hypothesis complexity. We show that the same minimization can be done incrementally as long as some form of ”scaffolding” is applied throughout the learning process. Scaffolding means: make the system learn from samples that are neither too easy nor too difficult at each step. We note that such learning behavior is also biologically plausible. Experiments using large sequences of facial images support the theoretical claims. The proposed method compares well with other, numerical calculus-based online learners.

Efeito do cronótipo e da hora do dia no desempenho numa tarefa de emparelhamento de faces

Os ritmos circadianos têm vindo a despertar interesse há largos anos, sabendo-se que cada indivíduo tem a sua preferência pessoal por estar ativo a diferentes horas do dia. A noção de cronótipo traduz esta preferência, classificando-nos em matutinos, intermédios, ou vespertinos. Encontra-se já definida uma relação entre o cronótipo de um indivíduo e a hora do dia a que realiza determinadas tarefas, fator que influencia o desempenho em muitos processos cognitivos, observando-se o designado efeito de sincronia: o desempenho atinge o seu pico quando a tarefa se realiza na hora ótima, aquela que se coaduna com a hora preferencial da pessoa. Desse modo, sujeitos matutinos têm frequentemente um melhor desempenho em diversas tarefas durante a manhã, e sujeitos vespertinos ao final do dia. O presente estudo pretendeu verificar se este efeito influencia o processo de emparelhamento de faces não familiares, tarefa em que o desempenho é por norma pobre. Nesse sentido, 33 participantes (17 matutinos e 16 vespertinos) avaliaram os 168 pares de faces (84 em cada sessão) que compõem o Glasgow Face Matching Test, e decidiram se as duas pertenciam à mesma pessoa, ou a pessoas diferentes. A tarefa foi realizada em duas sessões, uma às 9h e outra às 19h, para avaliar o efeito de sincronia. Verificou-se um efeito de interação significativo entre o cronótipo e a hora ótima no tempo de reação dos participantes, quando acertavam a sua resposta. Parte dos nossos resultados foram de encontro ao esperado, com os participantes vespertinos a serem mais rápidos na sua hora ótima. É sugerida então a existência de alguma influência do cronótipo e da hora do dia na rapidez de processamento e emparelhamento de faces não familiares.

Atenção automática para faces de compaixão no auto-criticismo

O auto-criticismo é um traço de personalidade preditor de psicopatologia. Sabe-se que indivíduos com elevado auto-criticismo tendem a processar a compaixão como um estímulo ameaçador. Apesar destes dados, a literatura é escassa no que se refere à forma como os indivíduos com elevado auto-criticismo reagem perante emoções complexas, como o criticismo e a compaixão. Desta forma, no presente estudo foram utilizadas faces de compaixão, criticismo e neutras como estímulos distratores, em que o estímulo relevante consistiu na identificação de uma letra num conjunto delas. Os resultados mostraram que as pessoas com elevado auto-criticismo tenderam a errar mais e a ter maiores tempos de resposta na tarefa principal quando o estímulo distrator foi uma face de compaixão. Estes dados sugerem que a atenção automática de indivíduos com elevado auto-criticismo pode ser afetada perante estímulos faciais de compaixão.