The Stanford Binet fourth edition and its use with individuals with Down syndrome: Cautions for clinicians

Stanford Binet: Fourth Edition (SB:IV) assessments have been collected longitudinally for 195 individuals with Down syndrome. This article discusses individual assessments which were selected for their ability to highlight major concerns that practitioners need to consider when interpreting intelligence test scores with this population. In this study, Intelligence Quotient (IQ) changed substantially for many individuals, demonstrating changes in classification from a mild level of intellectual impairment on initial assessment to a severe level on later assessment. Subtests used in calculating composite scores were found to have a dramatic effect on IQ. There was up to 9 IQ points difference depending on whether only the “core” subtests or all subtests used by the assessor were included in the calculations. Thirty-seven percent of the assessments were at “floor level” (i.e., IQ of 36), despite obvious divergent abilities illustrated by age equivalent scores. Mean Age Equivalent (MAE) scores were also problematic as they failed to adequately represent either the range, or divergence, of abilities of the individuals whose data are presented. Directions for future research are discussed.

Chloride as a signature indicator of soil textural and hydrologic stratigraphies in variable charge deep profiles

Soil properties that influence water movement through profiles are important for determining flow paths, reactions between soil and solute, and the ultimate destination of solutes. This is particularly important in high rainfall environments. For highly weathered deep profiles, we hypothesize that abrupt changes in the distribution of the quotient [QT = (silt + sand)/clay] reflect the boundaries between textural units or textural (TS) and hydrologic (HS) stratigraphies. As a result, QT can be used as a parameter to characterize TS and as a surrogate for HS. Secondly, we propose that if chloride distributions were correlated with QT, under non-limiting anion exchange, then chloride distributions can be used as a signature indicator of TS and HS. Soil cores to a depth of 12.5 in were taken from 16 locations in the wet tropical Johnstone River catchment of northeast Queensland, Australia. The cores belong to nine variable charge soil types and were under sugarcane (Saccharun officinarum-S) production, which included the use of potassium chloride, for several decades. The cores were segmented at I m depth increments and subsamples were analysed for chloride, pH, soil water content (theta), clay, silt and sand contents. Selected bores were capped to serve as piezometers to monitor groundwater dynamics. Depth incremented QT, theta and chloride correlated, each individually, significantly with the corresponding profile depth increments, indicating the presence of textural, hydrologic and chloride gradients in profiles. However, rapid increases in QT down the profile indicated abrupt changes in TS, suggesting that QT can be used as a parameter to characterize TS and as a surrogate for HS. Abrupt changes in chloride distributions were similar to QT, suggesting that chloride distributions can be used as a signature indicator of QT (TS) and HS. Groundwater data indicated that chloride distributions depended, at least partially, on groundwater dynamics, providing further support to our hypothesis that chloride distribution can be used as a signature indicator of HS. Copyright (c) 2005 John Wiley & Sons, Ltd.

Summarizing level-two topological relations in large spatial datasets

Summarizing topological relations is fundamental to many spatial applications including spatial query optimization. In this article, we present several novel techniques to effectively construct cell density based spatial histograms for range (window) summarizations restricted to the four most important level-two topological relations: contains, contained, overlap, and disjoint. We first present a novel framework to construct a multiscale Euler histogram in 2D space with the guarantee of the exact summarization results for aligned windows in constant time. To minimize the storage space in such a multiscale Euler histogram, an approximate algorithm with the approximate ratio 19/12 is presented, while the problem is shown NP-hard generally. To conform to a limited storage space where a multiscale histogram may be allowed to have only k Euler histograms, an effective algorithm is presented to construct multiscale histograms to achieve high accuracy in approximately summarizing aligned windows. Then, we present a new approximate algorithm to query an Euler histogram that cannot guarantee the exact answers; it runs in constant time. We also investigate the problem of nonaligned windows and the problem of effectively partitioning the data space to support nonaligned window queries. Finally, we extend our techniques to 3D space. Our extensive experiments against both synthetic and real world datasets demonstrate that the approximate multiscale histogram techniques may improve the accuracy of the existing techniques by several orders of magnitude while retaining the cost efficiency, and the exact multiscale histogram technique requires only a storage space linearly proportional to the number of cells for many popular real datasets.

Toward efficient multifeature query processing

In many advanced applications, data are described by multiple high-dimensional features. Moreover, different queries may weight these features differently; some may not even specify all the features. In this paper, we propose our solution to support efficient query processing in these applications. We devise a novel representation that compactly captures f features into two components: The first component is a 2D vector that reflects a distance range ( minimum and maximum values) of the f features with respect to a reference point ( the center of the space) in a metric space and the second component is a bit signature, with two bits per dimension, obtained by analyzing each feature's descending energy histogram. This representation enables two levels of filtering: The first component prunes away points that do not share similar distance ranges, while the bit signature filters away points based on the dimensions of the relevant features. Moreover, the representation facilitates the use of a single index structure to further speed up processing. We employ the classical B+-tree for this purpose. We also propose a KNN search algorithm that exploits the access orders of critical dimensions of highly selective features and partial distances to prune the search space more effectively. Our extensive experiments on both real-life and synthetic data sets show that the proposed solution offers significant performance advantages over sequential scan and retrieval methods using single and multiple VA-files.

Multiphoton high-resolution 3D imaging of Langerhans cells and keratinocytes in the mouse skin model adopted for epidermal powdered immunization

Langerhans cells (LCs) can be targeted with DNA-coated gold micro-projectiles ("Gene Gun") to induce potent cellular and humoral immune responses. It is likely that the relative volumetric distribution of LCs and keratinocytes within the epidermis impacts on the efficacy of Gene Gun immunization protocols. This study quantified the three-dimensional (3D) distribution of LCs and keratinocytes in the mouse skin model with a near-infrared multiphoton laser-scanning microscope (NIR-MPLSM). Stratum corneum (SC) and viable epidermal thickness measured with MPLSM was found in close agreement with conventional histology. LCs were located in the vertical plane at a mean depth of 14.9 mum, less than 3 mum above the dermo-epidermal boundary and with a normal histogram distribution. This likely corresponds to the fact that LCs reside in the suprabasal layer (stratum germinativum). The nuclear volume of keratinocytes was found to be approximately 1.4 times larger than that of resident LCs (88.6 mum3). Importantly, the ratio of LCs to keratinocytes in mouse ear skin (1:15) is more than three times higher than that reported for human breast skin (1:53). Accordingly, cross-presentation may be more significant in clinical Gene Gun applications than in pre-clinical mouse studies. These interspecies differences should be considered in pre-clinical trials using mouse models.

A neural network based technique for automatic classification of road cracks

This paper presents a neural network based technique for the classification of segments of road images into cracks and normal images. The density and histogram features are extracted. The features are passed to a neural network for the classification of images into images with and without cracks. Once images are classified into cracks and non-cracks, they are passed to another neural network for the classification of a crack type after segmentation. Some experiments were conducted and promising results were obtained. The selected results and a comparative analysis are included in this paper.

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

As an alternative to traditional evolutionary algorithms (EAs), population-based incremental learning (PBIL) maintains a probabilistic model of the best individual(s). Originally, PBIL was applied in binary search spaces. Recently, some work has been done to extend it to continuous spaces. In this paper, we review two such extensions of PBIL. An improved version of the PBIL based on Gaussian model is proposed that combines two main features: a new updating rule that takes into account all the individuals and their fitness values and a self-adaptive learning rate parameter. Furthermore, a new continuous PBIL employing a histogram probabilistic model is proposed. Some experiments results are presented that highlight the features of the new algorithms.

Multiscale histograms: Summarizing topological relations in large spatial datasets

Summarizing topological relations is fundamental to many spatial applications including spatial query optimization. In this paper, we present several novel techniques to eectively construct cell density based spatial histograms for range (window) summarizations restricted to the four most important topological relations: contains, contained, overlap, and disjoint. We rst present a novel framework to construct a multiscale histogram composed of multiple Euler histograms with the guarantee of the exact summarization results for aligned windows in constant time. Then we present an approximate algorithm, with the approximate ratio 19/12, to minimize the storage spaces of such multiscale Euler histograms, although the problem is generally NP-hard. To conform to a limited storage space where only k Euler histograms are allowed, an effective algorithm is presented to construct multiscale histograms to achieve high accuracy. Finally, we present a new approximate algorithm to query an Euler histogram that cannot guarantee the exact answers; it runs in constant time. Our extensive experiments against both synthetic and real world datasets demonstrated that the approximate mul- tiscale histogram techniques may improve the accuracy of the existing techniques by several orders of magnitude while retaining the cost effciency, and the exact multiscale histogram technique requires only a storage space linearly proportional to the number of cells for the real datasets.

AVALIAÇÃO DO PADRÃO ESQUELÉTICO VERTICAL DA FACE NA OCLUSÃO NORMAL NATURAL E NAS MALOCLUSÕES DE ANGLE, E SUA CORRELAÇÃO COM A SÍNFISE MANDIBULAR

O propósito deste estudo foi avaliar cefalometricamente, o padrão esquelético vertical da face em indivíduos com oclusão normal natural e nas diferentes maloclusões e sua correlação com a sínfise mandibular, além de avaliar a presença de dimorfismo sexual. A amostra foi composta de 200 telerradiografias cefalométricas, divididas quanto ao tipo de oclusão, em cinco grupos: grupo A, com pacientes portadores de oclusão normal natural e grupos B, C, D e E, com pacientes portadores de maloclusões, sendo cada grupo, dividido igualmente quanto ao sexo e apresentando idade média entre 13 e 16 anos. A amostra foi classificada em 3 padrões morfológicos verticais da face, de acordo com o índice da altura facial (FHR), proposto por SIRIWAT & JARABAK ou Quociente de Jarabak, em: Hiperdivergente, Neutro e Hipodivergente. Foi utilizada a variável GoMe.VT, da análise de VIGORITO, para avaliar a inclinação da sínfise e sua correlação com os padrões verticais faciais. Após a coleta de dados e da avaliação dos testes estatísticos; qui-quadrado, teste t de Student e da correlação de Pearson, concluiu-se que, o padrão Hipodivergente em todos os pacientes estudados foi o mais frequente, com 70%, sendo que a maior frequência deste padrão foi encontrado na maloclusão Classe II, divisão 2, com 87.5%, existindo outras prevalências de alguns padrões em diferentes classes de oclusões. Foi encontrada uma correlação positiva entre a inclinação da sínfise mandibular e o quociente de Jarabak apenas para a maloclusão Classe I e maloclusão Classe III. Não houve diferença estatisticamente significante entre os sexos e a classificação da morfologia quando comparados os cinco grupos, porém, quando os grupos foram analisados separadamente, foram encontradas diferenças significantes entre os sexos.

Estudo comparativo da determinação do tipo facial por meio de análise cefalométrica e pelo índice morfológico da face

A determinação do tipo facial é importante para o diagnóstico e planejamento ortodôntico, tendo em vista que na atualidade vários protocolos de tratamento utilizam este método para individualizar a terapêutica nos pacientes. O objetivo deste trabalho consistiu em verificar a correlação existente entre o Índice Morfológico da Face e o Vert de Ricketts, entre o Índice Morfológico da Face e o Quociente de Jarabak; também entre o Vert de Ricketts e o Quociente de Jarabak. Outro objetivo foi verificar se há correlação entre o Índice Morfológico da Face, Vert de Ricketts e o Quociente de Jarabak com as grandezas cefalométricas: FMA, Eixo Facial, Sn.GoGn, Sn.Gn e Ar.GoMe. A amostra foi constituída de telerradiografias em norma lateral e de mensurações antopométricas da face de 60 voluntários, sendo 30 do sexo feminino e 30 do sexo masculino. Entre os resultados obtidos observamos correlação entre o Índice Morfológico da Face e o VERT de Ricketts (r = -0,42) e entre o Índice Morfológico da Face e o Quociente de Jarabak (r = -0,32), considerado em ambos os casos como uma fraca correlação negativa. Já na correlação entre o VERT de Ricketts e o Quociente de Jarabak o valor obtido foi de r = 0,61, sendo considerada como uma correlação positiva moderada. Houve uma moderada correlação entre os métodos para determinação dos tipos faciais Índice Morfológico da Face e Quociente de Jarabak com as variáveis cefalométricas. Já para a correlação entre as variáveis cefalométricas e o método para determinação do tipo facial Vert de Ricketts, houve uma forte correlação. Com base nos resultados obtidos concluímos que houve uma concordância fraca entre os métodos Índice Morfológico da Face, Vert de Ricketts e Quociente de Jarabak; e sugerimos que outros estudos devem ser realizados a fim de corroborar com este trabalho para comprovar a aplicabilidade do Índice Antropométrico para a determinação do tipo facial (AU)

ANÁLISE DA DENSIDADE ÓPTICA DA SUTURA PALATINA MEDIANA APÓS A EXPANSÃO RÁPIDA DA MAXILA ASSISTIDA CIRURGICAMENTE

A Expansão Rápida da Maxila Assistida Cirurgicamente (ERMAC) é um recurso ortodôntico-cirúrgico utilizado no tratamento das más oclusões com deficiência transversal da maxila em pacientes adultos que apresentam a consolidação da sutura palatina mediana. A proposta neste estudo foi a de avaliar as densidades ópticas da sutura palatina mediana antes da ERMAC (fase I), após o fechamento do parafuso expansor (fase II), após 3 meses do fechamento do parafuso expansor (fase III) e após 6 meses do procedimento cirúrgico. A amostra deste estudo foi constituída por 64 radiografias oclusais de 16 pacientes na faixa etária de 18 a 40 anos, sendo 6 do sexo masculino e 10 do sexo feminino que necessitavam submeter-se à Expansão Rápida da Maxila Assistida Cirurgicamente (ERMAC) e com atresia maxilar superior a 5 mm. Foram obtidas as radiografias oclusais e as imagens digitalizadas das quatro fases do estudo. Duas áreas de interesse foram demarcadas nas imagens digitalizadas, uma entre os incisivos centrais superiores e outra após o término do parafuso expansor. Procedeu-se às leituras das densidades ópticas pelo programa Image Tool for Windows por meio do Histograma. Após a análise estatística dos valores obtidos de densidade óptica das regiões analisadas pela Análise de Variâncias (ANOVA) e comparações múltiplas de Bonferroni (complemento da ANOVA), pode-se concluir que: a densidade óptica na região da sutura palatina mediana nas 4 fases estudadas, apresentou grande variação, compatível com a abertura da referida sutura e posterior neoformação óssea no período pós-operatório; foi observado valor decrescente para as densidades ópticas após o fechamento do parafuso expansor nas regiões A e B ; foi observado que após 3 meses do fechamento do parafuso expansor, as densidades ópticas aumentaram nas regiões A e B . Isso sugeriu neoformação óssea na região da sutura palatina mediana; foi observado que após 6 meses do procedimento cirúrgico, as densidades ópticas aumentaram em relação à fase anterior. Na região A , observou-se que os valores das densidades ópticas não retornaram aos valores pré-tratamento, ou seja, antes da Expansão Rápida da Maxila Assistida Cirurgicamente (ERMAC). Já os valores das densidades ópticas médias da região B retornaram aos valores iniciais, antes da ERMAC. A análise estatística revelou que após 6 meses do procedimento cirúrgico, houve diferença estatisticamente significante ao se avaliar a região A comparando as fases entre si, porém ao se avaliar a região B não houve diferença estatisticamente significante ao se comparar as fases I e IV.

Blood type classification using computer vision and machine learning

In emergency situations, where time for blood transfusion is reduced, the O negative blood type (the universal donor) is administrated. However, sometimes even the universal donor can cause transfusion reactions that can be fatal to the patient. As commercial systems do not allow fast results and are not suitable for emergency situations, this paper presents the steps considered for the development and validation of a prototype, able to determine blood type compatibilities, even in emergency situations. Thus it is possible, using the developed system, to administer a compatible blood type, since the first blood unit transfused. In order to increase the system’s reliability, this prototype uses different approaches to classify blood types, the first of which is based on Decision Trees and the second one based on support vector machines. The features used to evaluate these classifiers are the standard deviation values, histogram, Histogram of Oriented Gradients and fast Fourier transform, computed on different regions of interest. The main characteristics of the presented prototype are small size, lightweight, easy transportation, ease of use, fast results, high reliability and low cost. These features are perfectly suited for emergency scenarios, where the prototype is expected to be used.

Use of fundus imaging in quantification of age-related macular change

This review will discuss the use of manual grading scales, digital photography, and automated image analysis in the quantification of fundus changes caused by age-related macular disease. Digital imaging permits processing of images for enhancement, comparison, and feature quantification, and these techniques have been investigated for automated drusen analysis. The accuracy of automated analysis systems has been enhanced by the incorporation of interactive elements, such that the user is able to adjust the sensitivity of the system, or manually add and remove pixels. These methods capitalize on both computer and human image feature recognition and the advantage of computer-based methodologies for quantification. The histogram-based adaptive local thresholding system is able to extract useful information from the image without being affected by the presence of other structures. More recent developments involve compensation for fundus background reflectance, which has most recently been combined with the Otsu method of global thresholding. This method is reported to provide results comparable with manual stereo viewing. Developments in this area are likely to encourage wider use of automated techniques. This will make the grading of photographs easier and cheaper for clinicians and researchers. © 2007 Elsevier Inc. All rights reserved.

Non-rigid object tracking in complex scenes

A recently proposed colour based tracking algorithm has been established to track objects in real circumstances [Zivkovic, Z., Krose, B. 2004. An EM-like algorithm for color-histogram-based object tracking. In: Proc, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 798-803]. To improve the performance of this technique in complex scenes, in this paper we propose a new algorithm for optimally adapting the ellipse outlining the objects of interest. This paper presents a Lagrangian based method to integrate a regularising component into the covariance matrix to be computed. Technically, we intend to reduce the residuals between the estimated probability distribution and the expected one. We argue that, by doing this, the shape of the ellipse can be properly adapted in the tracking stage. Experimental results show that the proposed method has favourable performance in shape adaption and object localisation.

Representation and parameterisation issues in genetic algorithms

A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing improved flexibility in a number of areas including representation, genetic operators, their parameter rates and real world multi-dimensional applications. A series of experiments were conducted, comparing the performance of the Multi-GA to a traditional GA on a number of recognised and increasingly complex test optimisation surfaces, with promising results. Further experiments demonstrated the Multi-GA's flexibility through the use of non-binary chromosome representations and its applicability to dynamic parameterisation. A number of alternative and new methods of dynamic parameterisation were investigated, in addition to a new non-binary 'Quotient crossover' mechanism. Finally, the Multi-GA was applied to two real world problems, demonstrating its ability to handle mixed type chromosomes within an individual, the limited use of a chromosome level fitness function, the introduction of new genetic operators for structural self-adaptation and its viability as a serious real world analysis tool. The first problem involved optimum placement of computers within a building, allowing the Multi-GA to use multiple chromosomes with different type representations and different operators in a single individual. The second problem, commonly associated with Geographical Information Systems (GIS), required a spatial analysis location of the optimum number and distribution of retail sites over two different population grids. In applying the Multi-GA, two new genetic operators (addition and deletion) were developed and explored, resulting in the definition of a mechanism for self-modification of genetic material within the Multi-GA structure and a study of this behaviour.