Estimating root–soil contact from 3D X-ray microtomographs

Adequate contact with the soil is essential for water and nutrient adsorption by plant roots, but the determination of root–soil contact is a challenging task because it is difficult to visualize roots in situ and quantify their interactions with the soil at the scale of micrometres. A method to determine root–soil contact using X-ray microtomography was developed. Contact areas were determined from 3D volumetric images using segmentation and iso-surface determination tools. The accuracy of the method was tested with physical model systems of contact between two objects (phantoms). Volumes, surface areas and contact areas calculated from the measured phantoms were compared with those estimated from image analysis. The volume was accurate to within 0.3%, the surface area to within 2–4%, and the contact area to within 2.5%. Maize and lupin roots were grown in soil (<2 mm) and vermiculite at matric potentials of −0.03 and −1.6 MPa and in aggregate fractions of 4–2, 2–1, 1–0.5 and < 0.5 mm at a matric potential of −0.03 MPa. The contact of the roots with their growth medium was determined from 3D volumetric images. Macroporosity (>70 µm) of the soil sieved to different aggregate fractions was calculated from binarized data. Root-soil contact was greater in soil than in vermiculite and increased with decreasing aggregate or particle size. The differences in root–soil contact could not be explained solely by the decrease in porosity with decreasing aggregate size but may also result from changes in particle and aggregate packing around the root.

Kinematical analysis of redundant drive wire mechanisms with velocity constraint

In this paper, we propose a new velocity constraint type for Redundant Drive Wire Mechanisms. The purpose of this paper is to demonstrate that the proposed velocity constraint module can fix the orientation of the movable part and to use the kinematical analysis method to obtain the moving direction of the movable part. First, we discuss the necessity of using this velocity constraint type and the possible applications of the proposed mechanism. Second, we derive the basic equations of a wire mechanism with this constraint type. Next, we present a method of motion analysis on active and passive constraint spaces, which is used to find the moving direction of a movable part. Finally, we apply the above analysis method on a wire mechanism with a velocity constraint module and on a wire mechanism with four double actuator modules. By evaluating the results, we prove the validity of the proposed constraint type.

Analysis of diffusion tensor magnetic resonance imaging data using principal component analysis

An analysis method for diffusion tensor (DT) magnetic resonance imaging data is described, which, contrary to the standard method (multivariate fitting), does not require a specific functional model for diffusion-weighted (DW) signals. The method uses principal component analysis (PCA) under the assumption of a single fibre per pixel. PCA and the standard method were compared using simulations and human brain data. The two methods were equivalent in determining fibre orientation. PCA-derived fractional anisotropy and DT relative anisotropy had similar signal-to-noise ratio (SNR) and dependence on fibre shape. PCA-derived mean diffusivity had similar SNR to the respective DT scalar, and it depended on fibre anisotropy. Appropriate scaling of the PCA measures resulted in very good agreement between PCA and DT maps. In conclusion, the assumption of a specific functional model for DW signals is not necessary for characterization of anisotropic diffusion in a single fibre.

Texture analysis using graphs generated by deterministic partially self-avoiding walks

Texture is one of the most important visual attributes for image analysis. It has been widely used in image analysis and pattern recognition. A partially self-avoiding deterministic walk has recently been proposed as an approach for texture analysis with promising results. This approach uses walkers (called tourists) to exploit the gray scale image contexts in several levels. Here, we present an approach to generate graphs out of the trajectories produced by the tourist walks. The generated graphs embody important characteristics related to tourist transitivity in the image. Computed from these graphs, the statistical position (degree mean) and dispersion (entropy of two vertices with the same degree) measures are used as texture descriptors. A comparison with traditional texture analysis methods is performed to illustrate the high performance of this novel approach. (C) 2011 Elsevier Ltd. All rights reserved.

Objective Detection and Delineation of Oral Neoplasia Using Autofluorescence Imaging

Although the oral cavity is easily accessible to inspection, patients with oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for oral neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of oral neoplasia.

An entropy-based approach to automatic image segmentation of satellite images

An entropy-based image segmentation approach is introduced and applied to color images obtained from Google Earth. Segmentation refers to the process of partitioning a digital image in order to locate different objects and regions of interest. The application to satellite images paves the way to automated monitoring of ecological catastrophes, urban growth, agricultural activity, maritime pollution, climate changing and general surveillance. Regions representing aquatic, rural and urban areas are identified and the accuracy of the proposed segmentation methodology is evaluated. The comparison with gray level images revealed that the color information is fundamental to obtain an accurate segmentation. (C) 2010 Elsevier B.V. All rights reserved.

Road and Traffic Signs Recognition using Vector Machines

Intelligent Transportation System (ITS) is a system that builds a safe, effective and integrated transportation environment based on advanced technologies. Road signs detection and recognition is an important part of ITS, which offer ways to collect the real time traffic data for processing at a central facility.This project is to implement a road sign recognition model based on AI and image analysis technologies, which applies a machine learning method, Support Vector Machines, to recognize road signs. We focus on recognizing seven categories of road sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for training and test. We compared and analyzed the performances of SVM recognition model using different features and different kernels. Moreover, the performances using different recognition models, SVM and Fuzzy ARTMAP, are observed.

"Selling/Buying"

The article belongs to the field of lexical semantics studies, associated with describing the Russian linguistic world-image. The work focuses on the universal situation of purchase and sale as reflected in the Russian language.

The Concept of ’Selling/Buying’ in the Russian Linguistic Picture of the World : from standard to sub-standard

The thesis belongs to the field of lexical semantics studies, associated with describing the Russian linguistic world-image. The research focuses on the universal situation of purchase and sale as reflected in the Russian lexical standard and sub-standard. The work deals also with subjects related to the sphere of social linguistics: the social stratification of the language, the structure of sub-standard, etc. The thesis is a contribution to the description of the Russian linguistic world-image as well as to the further elaboration of the conceptional analysis method. The results are applicable in teaching Russian as a foreign language, particularly in lexis and Russian culture and mentality studies.

Utveckling av metod för att bedöma behovet av ogräsbekämpning i spår

A system for weed management on railway embankments that is both adapted to the environment and efficient in terms of resources requires knowledge and understanding about the growing conditions of vegetation so that methods to control its growth can be adapted accordingly. Automated records could complement present-day manual inspections and over time come to replace these. One challenge is to devise a method that will result in a reasonable breakdown of gathered information that can be managed rationally by affected parties and, at the same time, serve as a basis for decisions with sufficient precision. The project examined two automated methods that may be useful for the Swedish Transport Administration in the future: 1) A machine vision method, which makes use of camera sensors as a way of sensing the environment in the visible and near infrared spectrum; and 2) An N-Sensor method, which transmits light within an area that is reflected by the chlorophyll in the plants. The amount of chlorophyll provides a value that can be correlated with the biomass. The choice of technique depends on how the information is to be used. If the purpose is to form a general picture of the growth of vegetation on railway embankments as a way to plan for maintenance measures, then the N-Sensor technique may be the right choice. If the plan is to form a general picture as well as monitor and survey current and exact vegetation status on the surface over time as a way to fight specific vegetation with the correct means, then the machine vision method is the better of the two. Both techniques involve registering data using GPS positioning. In the future, it will be possible to store this information in databases that are directly accessible to stakeholders online during or in conjunction with measures to deal with the vegetation. The two techniques were compared with manual (visual) estimations as to the levels of vegetation growth. The observers (raters) visual estimation of weed coverage (%) differed statistically from person to person. In terms of estimating the frequency (number) of woody plants (trees and bushes) in the test areas, the observers were generally in agreement. The same person is often consistent in his or her estimation: it is the comparison with the estimations of others that can lead to misleading results. The system for using the information about vegetation growth requires development. The threshold for the amount of weeds that can be tolerated in different track types is an important component in such a system. The classification system must be capable of dealing with the demands placed on it so as to ensure the quality of the track and other pre-conditions such as traffic levels, conditions pertaining to track location, and the characteristics of the vegetation. The project recommends that the Swedish Transport Administration: Discusses how threshold values for the growth of vegetation on railway embankments can be determined Carries out registration of the growth of vegetation over longer and a larger number of railway sections using one or more of the methods studied in the project Introduces a system that effectively matches the information about vegetation to its position Includes information about the growth of vegetation in the records that are currently maintained of the track’s technical quality, and link the data material to other maintenance-related databases Establishes a number of representative surfaces in which weed inventories (by measuring) are regularly conducted, as a means of developing an overview of the long-term development that can serve as a basis for more precise prognoses in terms of vegetation growth Ensures that necessary opportunities for education are put in place

Mastocitose na infância : estudo anátomo-patológico e imuno-histoquímico

Introdução A mastocitose abrange um grupo heterogêneo de condições crônicas caracterizado pela proliferação excessiva de mastócitos nos tecidos. Os sinais e sintomas clínicos são decorrentes da distribuição anatômica dos mastócitos e do efeito funcional dos mediadores produzidos e liberados por estas células. Na infância, a doença é considerada uma condição benigna na maioria dos casos, cujo comprometimento característico é o cutâneo. As mais freqüentes manifestações na pele são os mastocitomas e a urticária pigmentosa. Lesões cutâneas bolhosas podem manifestar-se e acompanhar todas as formas de mastocitose e quando esta apresentação é a predominante, é denominada de mastocitose bolhosa. O diagnóstico de mastocitose é suspeitado clinicamente e confirmado pela histologia. A demonstração do aumento do número de mastócitos nas lesões cutâneas características se constitui no principal critério diagnóstico. Contudo, este método tem dificuldades técnicas que impedem a adequada reprodutibilidade dos achados, dificultando a elucidação de casos duvidosos e retardando seu tratamento. Considerando as propriedades imunológicas e a importância clínica dos mastócitos reveste-se de maior importância compreender o papel destas células nas doenças, sendo indispensável identificá-las e enumerá-las com acurácia nos tecidos. Objetivos Quantificar o número de mastócitos marcados com anticorpo monoclonal antitriptase, através de técnica imuno-histoquímica e análise de imagem, em biópsias cutâneas de crianças, com diagnóstico clínico de mastocitose. Descrever os achados histológicos; quantificar o número de mastócitos marcados com o anticorpo antitriptase entre as diferentes expressões clínicas da mastocitose cutânea; comparar o número de mastócitos entre os casos de mastocitose cutânea e mastocitose associada à sintomas sistêmicos e correlacionar as contagens de mastócitos entre os dois diferentes métodos (coloração por Giemsa com contagem manual e marcação com anticorpo antitriptase e análise digital). Material e Método Foram incluídas no estudo biópsias cutâneas de crianças de 0 a 14 anos, com diagnóstico clínico e histológico de mastocitose. Os casos foram classificados de acordo com a apresentação clínica cutânea em mastocitoma, urticária pigmentosa ou mastocitose bolhosa e assinalada a presença de sintomas sistêmicos associados. Os fragmentos de pele fixados em formalina e emblocados em parafina foram cortados e utilizados para diagnóstico histopatológico convencional, corados com hematoxilina-eosina e Giemsa, e para análise imuno-histoquímica com estreptavidina peroxidase marcados com anticorpo antitriptase. A densidade de mastócitos (número de células por área) foi realizada por um único observador na técnica histológica e através de um sistema de análise de imagem de vídeo no método imuno-histoquímico. Resultados Foram avaliados 33 casos de mastocitose, sendo 21 do sexo masculino. Dez casos (30,3%) apresentavam mastocitoma, 21 (63,6%) urticária pigmentosa e 2 (6,1%) mastocitose bolhosa. Todos os casos da amostra foram classificados como tendo mastocitose incipiente e em 6 (18,8%) pacientes pôde ser identificada a associação com sintomas sistêmicos. Prurido foi o sintoma mais freqüente, sendo relatado em 21 casos. Em 21 dos 33 casos foi identificada a infiltração de mastócitos na derme havendo predominância pela região perivascular (p=0,001, teste exato de Fisher). Não houve diferenças significativas entre a presença de infiltrado mastocitário e as várias formas cutâneas de mastocitose ou a mastocitose sistêmica. A presença de eosinófilos foi identificada em 15 casos (45,5%) e em 10 casos associadamente ao infiltrado perivascular de mastócitos. A densidade de mastócitos na técnica histológica, incluindo-se todos os casos, foi 50,00 células/mm2. Não houve diferença significativa das contagens entre os pacientes com mastocitoma e aqueles com urticária pigmentosa, assim como entre os pacientes com e sem sintomas sistêmicos associados aos cutâneos. A densidade de mastócitos encontrada com a técnica imuno-histoquímica e contagem por análise de imagem foi 158,85 células/mm2. Não houve diferença significativa das contagens entre os pacientes com mastocitoma e aqueles com urticária pigmentosa, assim como entre aqueles com e sem sintomas sistêmicos. Comparando-se a contagem dos mastócitos por área (densidade) entre a histologia e a imuno-histoquímica houve uma diferença significativa (p=0,0001 teste não-paramétrico de Wilcoxon). A média da diferença entre as contagens foi 199,98 células/mm2 (±365,31 DP). Também não houve semelhança, entre os dois métodos, nos grupos mastocitoma e urticária pigmentosa (p=0,005 e p=0,01, respectivamente, teste não-paramétrico de Wilcoxon). Puderam ser identificados 518% a mais de mastócitos com a técnica imunohistoquímica quando comparada com a histológica. Conclusões O presente estudo permite concluir que: 1) a localização preferencial da infiltração de mastócitos é dérmica e perivascular, não sendo possível identificar diferenças histológicas entre casos de urticária pigmentosa e mastocitoma; 2) o número de mastócitos marcados com o anticorpo monoclonal antitriptase e contados com análise digital de imagem, em biópsia de pele de crianças com diagnóstico clínico de mastocitose, foi 159 células por milímetro quadrado; 3) a densidade de mastócitos, foi semelhante entre os casos de urticária pigmentosa e mastocitoma e entre os casos com e sem sintomas sistêmicos associados nas duas diferentes técnicas empregadas; 4) o número de mastócitos por milímetro quadrado com a técnica imuno-histoquímica e a contagem através de análise de imagem foi significativamente maior quando comparada com a coloração através de Giemsa e a contagem manual, com uma diferença média entre os dois métodos de 200 células por milímetro quadrado; 5) a densidade de mastócitos com a técnica imunohistoquímica foi significativamente maior tanto nos casos com urticária pigmentosa quanto nos com mastocitoma, quando comparada com a técnica empregada rotineiramente e 6) com a técnica imuno-histoquímica e a contagem através de análise de imagem foi possível identificar 518% a mais de mastócitos quando comparada com a técnica histológica.

Impact assessment and quality analysis of corporate social responsability (CSR) programs of mining companies and their contribution to sustainable development in the communities they operate: case study Tenke Fungurume Mining SA in the Democratic Republic of Congo (DRC)

Purpose – This case study presents an impact assessment of Corporate Social Responsibility (CSR) programs of the TFM Company in order to understand how they contribute to the sustainable development of communities in areas in which they operate. Design/Methodology/Approach - Data for this study was collected using qualitative data methods that included semi-structured interviews and Focus Group Discussions most of them audio and video recorded. Documentary analysis and a field visit were also undertaken for the purpose of quality analysis of the CSR programs on the terrain. Data collected was analyzed using the Seven Questions to sustainability (7Qs) framework, an evaluation tool developed by the Mining, Minerals and Sustainable Development (MMSD) North America chapter. Content analysis method was on the other hand used to examine the interviews and FGDs of the study participants. Findings - Results shows that CSR programs of TFM SA do contribute to community development, as there have been notable changes in the communities’ living conditions. But whether they have contributed to sustainable development is not yet the case as programs that enhance the capacity of communities and other stakeholders to support these projects development beyond the implementation stage and the mines operation lifetime need to be considered and implemented. Originality/Value – In DRC, there is paucity of information of research studies that focus on impact assessment of CSR programs in general and specifically those of mining companies and their contribution to sustainable development of local communities. Many of the available studies cover issues of minerals and conflict or conflict minerals as mostly referred to. This study addressees this gap.

Análise histométrica do desenvolvimento testicular de cutias (Dasyprocta aguti) criadas em cativeiros

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Morphologic and morphometric analysis of Hepatozoon spp. (Apicomplexa, Hepatozoidae) of snakes

Hepatozoon species are the most abundant hemoparasites of snakes. Its identification has been based mainly on the morphologic characterization of the gamonts in the peripheral blood of the vertebrate host and also of the cysts found in the internal organs of the vertebrate and invertebrate hosts. Using a computerized image analysis system, we studied five species of Hepatozoon from recently captured snakes in Botucatu, State of São Paulo, Brazil, to evaluate the importance of the morphology and morphometry of the gamonts for the characterization of Hepatozoon species and to analyze the morphologic changes induced in the erythrocytes by the parasite. The studied species were H. terzii of Boa constrictor amarali, Hepatozoon sp. of Crotalus durissusterrificus, H. philodryasi of Philodryas patagoniensis, and H. migonei and H. cyclagrasi of Hydrodynastes gigas. We observed three different groups, one of them including the species H. terzii, H. philodryasi and Hepatozoon sp. of C. durissus terrificus; and the other two consisting of H. migonei and H. cyclagrasi. Degree of alterations in the erythrocytes was variable and it may be useful for characterization of Hepatozoon species.

Leaf area prediction models for Zinnia elegans Jacq., Zinnia haageana regel and 'profusion cherry'

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)