Annual report /

Report year ends June 30.

Proceedings

Continued In the Idaho. State Tax Commission, 1945- Proceedings, After 1944

Minutes and official proceedings.

Mode of access: Internet.

California property tax laws, annotated, including regulations.

Mode of access: Internet.

Notas para una comparación de los proyectos de polos de desarrollo en la Amazonia brasilera y la Patagonia argentina

En este trabajo trazamos líneas de comparación entre los procesos de instalación de planes de desarrollo industrial subsidiados por el Estado nacional en dos grandes regiones de América Latina: la Amazonia brasilera y la Patagonia argentina. Ponemos en debate la noción de desarrollo, enfrentando la igualación que se había construido entre este concepto y el de crecimiento. Con ese objetivo, realizamos una lectura de los planes de desarrollo en su dimensión estructural y nos adentramos en el campo de las luchas sociales y políticas, abarcando para ello un amplio y complejo período histórico

A discussion of cases in the 2001 RCPA-AQAP chemical pathology case report comments program

Aim: We present a descriptive analysis of the 10 case reports distributed in the Royal College of Pathologists of Australasia (RCPA) and the Australasian Association of Clinical Biochemists (AACB) Chemical Pathology Patient Report Comments Program to assess the quality of interpretative commenting in clinical biochemistry in 2001. Method: Participants were asked to comment on a given set of biochemistry results attached with brief clinical details. All responses received were translated into key phrases and graphically presented on a histogram. An expert panel was asked to evaluate the appropriateness of the key phrases and to propose a suggested composite comment. Results: While the majority of comments received were felt to be acceptable by the expert panel, some comments were felt to be inappropriate or misleading. As comments on laboratory reports may affect clinical management of patients, it is important that these comments reflect accepted practice and current guidelines. Conclusion: The Patient Report Comments Program may play an important role in continuing education and possibly in quality assurance of interpretative commenting.

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.

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.