An automatic methodology for obtaining optimum shape factors for the radial point interpolation method

In this letter, a methodology is proposed for automatically (and locally) obtaining the shape factor c for the Gaussian basis functions, for each support domain, in order to increase numerical precision and mainly to avoid matrix inversion impossibilities. The concept of calibration function is introduced, which is used for obtaining c. The methodology developed was applied for a 2-D numerical experiment, which results are compared to analytical solution. This comparison revels that the results associated to the developed methodology are very close to the analytical solution for the entire bandwidth of the excitation pulse. The proposed methodology is called in this work Local Shape Factor Calibration Method (LSFCM).

Clustering algorithms and shape factor methods to discriminate among small GTPase phenotypes using DIC image analysis.

Naïvement perçu, le processus d’évolution est une succession d’événements de duplication et de mutations graduelles dans le génome qui mènent à des changements dans les fonctions et les interactions du protéome. La famille des hydrolases de guanosine triphosphate (GTPases) similaire à Ras constitue un bon modèle de travail afin de comprendre ce phénomène fondamental, car cette famille de protéines contient un nombre limité d’éléments qui diffèrent en fonctionnalité et en interactions. Globalement, nous désirons comprendre comment les mutations singulières au niveau des GTPases affectent la morphologie des cellules ainsi que leur degré d’impact sur les populations asynchrones. Mon travail de maîtrise vise à classifier de manière significative différents phénotypes de la levure Saccaromyces cerevisiae via l’analyse de plusieurs critères morphologiques de souches exprimant des GTPases mutées et natives. Notre approche à base de microscopie et d’analyses bioinformatique des images DIC (microscopie d’interférence différentielle de contraste) permet de distinguer les phénotypes propres aux cellules natives et aux mutants. L’emploi de cette méthode a permis une détection automatisée et une caractérisation des phénotypes mutants associés à la sur-expression de GTPases constitutivement actives. Les mutants de GTPases constitutivement actifs Cdc42 Q61L, Rho5 Q91H, Ras1 Q68L et Rsr1 G12V ont été analysés avec succès. En effet, l’implémentation de différents algorithmes de partitionnement, permet d’analyser des données qui combinent les mesures morphologiques de population native et mutantes. Nos résultats démontrent que l’algorithme Fuzzy C-Means performe un partitionnement efficace des cellules natives ou mutantes, où les différents types de cellules sont classifiés en fonction de plusieurs facteurs de formes cellulaires obtenus à partir des images DIC. Cette analyse démontre que les mutations Cdc42 Q61L, Rho5 Q91H, Ras1 Q68L et Rsr1 G12V induisent respectivement des phénotypes amorphe, allongé, rond et large qui sont représentés par des vecteurs de facteurs de forme distincts. Ces distinctions sont observées avec différentes proportions (morphologie mutante / morphologie native) dans les populations de mutants. Le développement de nouvelles méthodes automatisées d’analyse morphologique des cellules natives et mutantes s’avère extrêmement utile pour l’étude de la famille des GTPases ainsi que des résidus spécifiques qui dictent leurs fonctions et réseau d’interaction. Nous pouvons maintenant envisager de produire des mutants de GTPases qui inversent leur fonction en ciblant des résidus divergents. La substitution fonctionnelle est ensuite détectée au niveau morphologique grâce à notre nouvelle stratégie quantitative. Ce type d’analyse peut également être transposé à d’autres familles de protéines et contribuer de manière significative au domaine de la biologie évolutive.

Correlation of Anterior and Posterior Corneal Shape in Keratoconus

Purpose: To evaluate the correlation of the mean curvature and shape factors of both corneal surfaces for different corneal diameters measured with the Scheimpflug photography–based system in keratoconus eyes. Methods: A total of 61 keratoconus eyes of 61 subjects, aged 14 to 64 years, were included in this study. All eyes received a comprehensive ophthalmologic examination including anterior segment and corneal analysis with the Sirius system (CSO): anterior and posterior mean corneal radius for 3, 5, and 7 mm (aKM, pKM), anterior and posterior mean shape factor for 4.5 and 8 mm (ap, pp), central and minimal corneal thickness, and anterior chamber depth. Results: Mean aKM/pKM ratio around 1.20 (range, 0.95–1.48) was found for all corneal diameters (P = 0.24). Weak but significant correlations of this ratio with pachymetric parameters were found (r between −0.28 and −0.34, P < 0.04). The correlation coefficient between aKM and pKM was ≥0.92 for all corneal diameters. A strong and significant correlation was also found between ap and pp (r ≥ 0.86, P < 0.01). The multiple regression analysis revealed that central pKM was significantly correlated with aKM, central corneal thickness, anterior chamber depth, and spherical equivalent (R2 ≥ 0.88, P < 0.01) and that 8 mm pp was significantly correlated with 8 mm ap and age (R2 = 0.89, P < 0.01). Conclusions: Central posterior corneal curvature and shape factor in the keratoconus eye can be consistently predicted from the anterior corneal curvature and shape factor, respectively, in combination with other anatomical and ocular parameters.

Characterisation of polyethylene powders for rotational moulding and effect of powder size and shape on densification behaviour

The particle size, shape and distribution of a range of rotational moulding polyethylenes (PEs) ground to powder was investigated using a novel visual data acquisition and analysis system (TP Picture®), developed by Total Petrochemicals. Differences in the individual particle shape factors of the powder samples were observed and correlations with the grinding conditions were determined. When heated, the bubble dissolution behaviour of the same powders was investigated and the shape factor correlated with densification rate, bubble size and bubble distribution.

Classification of breast masses using a committee machine of artificial neural networks

This work proposes a new approach using a committee machine of artificial neural networks to classify masses found in mammograms as benign or malignant. Three shape factors, three edge-sharpness measures, and 14 texture measures are used for the classification of 20 regions of interest (ROIs) related to malignant tumors and 37 ROIs related to benign masses. A group of multilayer perceptrons (MLPs) is employed as a committee machine of neural network classifiers. The classification results are reached by combining the responses of the individual classifiers. Experiments involving changes in the learning algorithm of the committee machine are conducted. The classification accuracy is evaluated using the area A. under the receiver operating characteristics (ROC) curve. The A, result for the committee machine is compared with the A, results obtained using MLPs and single-layer perceptrons (SLPs), as well as a linear discriminant analysis (LDA) classifier Tests are carried out using the student's t-distribution. The committee machine classifier outperforms the MLP SLP, and LDA classifiers in the following cases: with the shape measure of spiculation index, the A, values of the four methods are, in order 0.93, 0.84, 0.75, and 0.76; and with the edge-sharpness measure of acutance, the values are 0.79, 0.70, 0.69, and 0.74. Although the features with which improvement is obtained with the committee machines are not the same as those that provided the maximal value of A(z) (A(z) = 0.99 with some shape features, with or without the committee machine), they correspond to features that are not critically dependent on the accuracy of the boundaries of the masses, which is an important result. (c) 2008 SPIE and IS&T.

Stability analysis of core-annular flow and neutral stability wave number

A general transition criterion is proposed in order to locate the core-annular flow pattern in horizontal and vertical oil-water flows. It is based on a rigorous one-dimensional two-fluid model of liquid-liquid two-phase flow and considers the existence of critical interfacial wave numbers related to a non-negligible interfacial tension term to which the linear stability theory still applies. The viscous laminar-laminar flow problem is fully resolved and turbulence effects on the stability are analyzed through experimentally obtained shape factors. The proposed general transition criterion includes in its formulation the inviscid Kelvin-Helmholtz`s discriminator. If a theoretical maximum wavelength is considered as a necessary condition for stability, a stability criterion in terms of the Eotvos number is achieved. Effects of interfacial tension, viscosity ratio, density difference, and shape factors on the stability of core-annular flow are analyzed in detail. The more complete modeling allowed for the analysis of the neutral-stability wave number and the results strongly suggest that the interfacial tension term plays an indispensable role in the correct prediction of the stable region of core-annular flow pattern. The incorporation of a theoretical minimum wavelength into the transition model produced significantly better results. The criterion predictions were compared with recent data from the literature and the agreement is encouraging. (C) 2007 American Institute of Chemical Engineers.

Self-organisation in the assembly of gels from mixtures of different dendritic peptide building blocks

This paper investigates dendritic peptides capable of assembling into nanostructured gels, and explores the effect on self-assembly of mixing different molecular building blocks. Thermal measurements, small angle Xray scattering (SAXS) and circular dichroism (CD) spectroscopy are used to probe these materials on macroscopic, nanoscopic and molecular length scales. The results from these investigations demonstrate that in this case, systems with different "size" and "chirality" factors can self-organise, whilst systems with different "shape" factors cannot. The "size" and "chirality" factors are directly connected with the molecular information programmed into the dendritic peptides, whilst the shape factor depends on the group linking these peptides together-this is consistent with molecular recognition hydrogen bond pathways between the peptidic building blocks controlling the ability of these systems to self-recognise. These results demonstrate that mixtures of relatively complex peptides, with only subtle differences on the molecular scale, can self-organise into nanoscale structures, an important step in the spontaneous assembly of ordered systems from complex mixtures.

Validation of three new measure-correlate-predict models for the long-term prospection of the wind resource

The estimation of the long-term wind resource at a prospective site based on a relatively short on-site measurement campaign is an indispensable task in the development of a commercial wind farm. The typical industry approach is based on the measure-correlate-predict �MCP� method where a relational model between the site wind velocity data and the data obtained from a suitable reference site is built from concurrent records. In a subsequent step, a long-term prediction for the prospective site is obtained from a combination of the relational model and the historic reference data. In the present paper, a systematic study is presented where three new MCP models, together with two published reference models �a simple linear regression and the variance ratio method�, have been evaluated based on concurrent synthetic wind speed time series for two sites, simulating the prospective and the reference site. The synthetic method has the advantage of generating time series with the desired statistical properties, including Weibull scale and shape factors, required to evaluate the five methods under all plausible conditions. In this work, first a systematic discussion of the statistical fundamentals behind MCP methods is provided and three new models, one based on a nonlinear regression and two �termed kernel methods� derived from the use of conditional probability density functions, are proposed. All models are evaluated by using five metrics under a wide range of values of the correlation coefficient, the Weibull scale, and the Weibull shape factor. Only one of all models, a kernel method based on bivariate Weibull probability functions, is capable of accurately predicting all performance metrics studied.

Rayleigh scattering by hexagonal ice crystals and the interpretation of dual-polarisation radar measurements

Dual-polarisation radar measurements provide valuable information about the shapes and orientations of atmospheric ice particles. For quantitative interpretation of these data in the Rayleigh regime, common practice is to approximate the true ice crystal shape with that of a spheroid. Calculations using the discrete dipole approximation for a wide range of crystal aspect ratios demonstrate that approximating hexagonal plates as spheroids leads to significant errors in the predicted differential reflectivity, by as much as 1.5 dB. An empirical modification of the shape factors in Gans's spheroid theory was made using the numerical data. The resulting simple expressions, like Gans's theory, can be applied to crystals in any desired orientation, illuminated by an arbitrarily polarised wave, but are much more accurate for hexagonal particles. Calculations of the scattering from more complex branched and dendritic crystals indicate that these may be accurately modelled using the new expression, but with a reduced permittivity dependent on the volume of ice relative to an enclosing hexagonal prism.

Abflusslose Senken – Instrumente in der Landschaftsanalyse und Indikatoren rezenter Krustenbewegungen

Innerhalb des Untersuchungsgebiets Schleswig-Holstein wurden 39.712 topographische Hohlformen detektiert. Genutzt wurden dazu ESRI ArcMap 9.3 und 10.0. Der Datenaufbereitung folgten weitere Kalkulationen in MATLAB R2010b. Jedes Objekt wurde räumlich mit seinen individuellen Eigenschaften verschnitten. Dazu gehörten Fläche, Umfang, Koordinaten (Zentroide), Tiefe und maximale Tiefe der Hohlform und Formfaktoren wie Rundheit, Konvexität und Elongation. Ziel der vorgestellten Methoden war die Beantwortung von drei Fragestellungen: Sind negative Landformen dazu geeignet Landschaftseinheiten und Eisvorstöße zu unterscheiden und zu bestimmen? Existiert eine Kopplung von Depressionen an der rezenten Topographie zu geologischen Tiefenstrukturen? Können Senken unterschiedlicher Entstehung anhand ihrer Formcharakteristik unterteilt werden? Die vorgenommene Klassifikation der großen Landschaftseinheiten basiert auf der Annahme, dass sowohl Jungmoränengebiete, ihre Vorflächen als auch Altmoränengebiete durch charakteristische, abflusslose Hohlformen, wie Toteislöcher, Seen, etc. abgegrenzt werden können. Normalerweise sind solche Depressionen in der Natur eher selten, werden jedoch für ehemalige Glaziallandschaften als typisch erachtet. Ziel war es, die geologischen Haupteinheiten, Eisvorstöße und Moränengebiete der letzten Vereisungen zu differenzieren. Zur Bearbeitung wurde ein Detektionsnetz verwendet, das auf quadratischen Zellen beruht. Die Ergebnisse zeigen, dass durch die alleinige Nutzung von Depressionen zur Klassifizierung von Landschaftseinheiten Gesamtgenauigkeiten von bis zu 71,4% erreicht werden können. Das bedeutet, dass drei von vier Detektionszellen korrekt zugeordnet werden können. Jungmoränen, Altmoränen, periglazialeVorflächen und holozäne Bereiche können mit Hilfe der Hohlformen mit großer Sicherheit voneinander unterschieden und korrekt zugeordnet werden. Dies zeigt, dass für die jeweiligen Einheiten tatsächlich bestimmte Senkenformen typisch sind. Die im ersten Schritt detektierten Senken wurden räumlich mit weiterreichenden geologischen Informationen verschnitten, um zu untersuchen, inwieweit natürliche Depressionen nur glazial entstanden sind oder ob ihre Ausprägung auch mit tiefengeologischen Strukturen in Zusammenhang steht. 25.349 (63,88%) aller Senken sind kleiner als 10.000 m² und liegen in Jungmoränengebieten und können vermutlich auf glaziale und periglaziale Einflüsse zurückgeführt werden. 2.424 Depressionen liegen innerhalb der Gebiete subglazialer Rinnen. 1.529 detektierte Hohlformen liegen innerhalb von Subsidenzgebieten, von denen 1.033 innerhalb der Marschländer im Westen verortet sind. 919 große Strukturen über 1 km Größe entlang der Nordsee sind unter anderem besonders gut mit Kompaktionsbereichen elsterzeitlicher Rinnen zu homologisieren.344 dieser Hohlformen sind zudem mit Tunneltälern im Untergrund assoziiert. Diese Parallelität von Depressionen und den teils über 100 m tiefen Tunneltälern kann auf Sedimentkompaktion zurückgeführt werden. Ein Zusammenhang mit der Zersetzung postglazialen, organischen Materials ist ebenfalls denkbar. Darüber hinaus wurden in einer Distanz von 10 km um die miozän aktiven Flanken des Glückstadt-Grabens negative Landformen detektiert, die Verbindungen zu oberflächennahen Störungsstrukturen zeigen. Dies ist ein Anzeichen für Grabenaktivität während und gegen Ende der Vereisung und während des Holozäns. Viele dieser störungsbezogenen Senken sind auch mit Tunneltälern assoziiert. Entsprechend werden drei zusammenspielende Prozesse identifiziert, die mit der Entstehung der Hohlformen in Verbindung gebracht werden können. Eine mögliche Interpretation ist, dass die östliche Flanke des Glückstadt-Grabens auf die Auflast des elsterzeitlichen Eisschilds reagierte, während sich subglazial zeitgleich Entwässerungsrinnen entlang der Schwächezonen ausbildeten. Diese wurden in den Warmzeiten größtenteils durch Torf und unverfestigte Sedimente verfüllt. Die Gletschervorstöße der späten Weichselzeit aktivierten erneut die Flanken und zusätzlich wurde das Lockermaterial exariert, wodurch große Seen, wie z. B. der Große Plöner See entstanden sind. Insgesamt konnten 29 große Depressionen größer oder gleich 5 km in Schleswig-Holstein identifiziert werden, die zumindest teilweise mit Beckensubsidenz und Aktivität der Grabenflanken verbunden sind, bzw. sogar auf diese zurückgehen.Die letzte Teilstudie befasste sich mit der Differenzierung von Senken nach deren potentieller Genese sowie der Unterscheidung natürlicher von künstlichen Hohlformen. Dazu wurde ein DEM für einen Bereich im Norden Niedersachsens verwendet, das eine Gesamtgröße von 252 km² abdeckt. Die Ergebnisse zeigen, dass glazial entstandene Depressionen gute Rundheitswerte aufweisen und auch Elongation und Exzentrizität eher kompakte Formen anzeigen. Lineare negative Strukturen sind oft Flüsse oder Altarme. Sie können als holozäne Strukturen identifiziert werden. Im Gegensatz zu den potentiell natürlichen Senkenformen sind künstlich geschaffene Depressionen eher eckig oder ungleichmäßig und tendieren meist nicht zu kompakten Formen. Drei Hauptklassen topographischer Depressionen konnten identifiziert und voneinander abgegrenzt werden: Potentiell glaziale Senken (Toteisformen), Flüsse, Seiten- und Altarme sowie künstliche Senken. Die Methode der Senkenklassifikation nach Formparametern ist ein sinnvolles Instrument, um verschiedene Typen unterscheiden zu können und um bei geologischen Fragestellungen künstliche Senken bereits vor der Verarbeitung auszuschließen. Jedoch zeigte sich, dass die Ergebnisse im Wesentlichen von der Auflösung des entsprechenden Höhenmodells abhängen.

Mass estimates and morphometric meassurements of Discoaster species and Sphenolithus from Ceara Rise ODP Site 927

Mass estimates for Late Miocene and Pliocene (8.6-3.25 Ma) Discoaster species and Sphenolithus are determined using samples of the equatorial Atlantic (Ceara Rise: ODP Site 927). Based on morphometric measurements, 3D computer models were created for 11 Discoaster species and their volumes calculated. From these, shape factors (ks) were derived to allow calculation of mass for different-sized discoasters and Sphenolithus abies. The mass estimates were then used to calculate the contribution of nannofossils to the total nannofossil carbonate. The discoaster contribution ranges from 10% to 40%, with a decreasing trend through the investigated interval. However, our estimates of total nannofossil carbonate from size-corrected abundance data are consistently 30-50% lower than estimates from grain-size measurement; this suggests that data based on mass estimates need to be interpreted with caution.

Properties of granular analogue model materials: A community wide survey

We report the material properties of 26 granular analogue materials used in 14 analogue modelling laboratories. We determined physical characteristics such as bulk density, grain size distribution, and grain shape, and performed ring shear tests to determine friction angles and cohesion, and uniaxial compression tests to evaluate the compaction behaviour. Mean grain size of the materials varied between c. 100 and 400 μm. Analysis of grain shape factors shows that the four different classes of granular materials (14 quartz sands, 5 dyed quartz sands, 4 heavy mineral sands and 3 size fractions of glass beads) can be broadly divided into two groups consisting of 12 angular and 14 rounded materials. Grain shape has an influence on friction angles, with most angular materials having higher internal friction angles (between c. 35° and 40°) than rounded materials, whereas well-rounded glass beads have the lowest internal friction angles (between c. 25° and 30°). We interpret this as an effect of intergranular sliding versus rolling. Most angular materials have also higher basal friction angles (tested for a specific foil) than more rounded materials, suggesting that angular grains scratch and wear the foil. Most materials have an internal cohesion in the order of 20–100 Pa except for well-rounded glass beads, which show a trend towards a quasi-cohesionless (C < 20 Pa) Coulomb-type material. The uniaxial confined compression tests reveal that rounded grains generally show less compaction than angular grains. We interpret this to be related to the initial packing density after sifting, which is higher for rounded grains than for angular grains. Ring-shear test data show that angular grains undergo a longer strain-hardening phase than more rounded materials. This might explain why analogue models consisting of angular grains accommodate deformation in a more distributed manner prior to strain localisation than models consisting of rounded grains.

A new rapidly absorbed paracetamol tablet containing sodium bicarbonate. II. Dissolution studies and in vitro/in vivo correlation

The objective of this study was to compare the in vitro dissolution profile of a new rapidly absorbed paracetamol tablet containing sodium bicarbonate (PS) with that of a conventional paracetamol tablet (P), and to relate these by deconvolution and mapping to in vivo release. The dissolution methods used include the standard procedure described in the USP monograph for paracetamol tablets, employing buffer at pH5.8 or 0.05 M HCl at stirrer speeds between 10 and 50 rpm. The mapping process was developed and implemented in Microsoft Excel® worksheets that iteratively calculated the optimal values of scale and shape factors which linked in vivo time to in vitro time. The in vitro-in vivo correlation (IVIVC) was carried out simultaneously for both formulations to produce common mapping factors. The USP method, using buffer at pH5.8, demonstrated no difference between the two products. However, using an acidic medium the rate of dissolution of P but not of PS decreased with decreasing stirrer speed. A significant correlation (r=0.773; p<.00001) was established between in vivo release and in vitro dissolution using the profiles obtained with 0.05 M HCl and a stirrer speed of 30 rpm. The scale factor for optimal simultaneous IVIVC in the fasting state was 2.54 and the shape factor was 0.16; corresponding values for mapping in the fed state were 3.37 and 0.13 (implying a larger in vitro-in vivo time difference but reduced shape difference in the fed state). The current IVIVC explains, in part, the observed in vivo variability of the two products. The approach to mapping may also be extended to different batches of these products, to predict the impact of any changes of in vitro dissolution on in vivo release and plasma drug concentration-time profiles.

Do socioeconomic factors shape weight and obesity trajectories over the transition from midlife to old age? Results from the French GAZEL cohort study

BACKGROUND: Obesity is a contemporary epidemic that does not affect all age groups and sections of society equally. OBJECTIVE: The objective was to examine socioeconomic differences in trajectories of body mass index (BMI; in kg/m(2)) and obesity between the ages of 45 and 65 y. DESIGN: A total of 13,297 men and 4532 women from the French GAZEL (Gaz de France Electricité de France) cohort study reported their height in 1990 and their weight annually over the subsequent 18 y. Changes in BMI and obesity between ages 45 and 49 y, 50 and 54 y, 55 and 59 y, and 60 and 65 y as a function of education and occupational position (at age 35 y) were modeled by using linear mixed models and generalized estimating equations. RESULTS: BMI and obesity rates increased between the ages of 45 and 65 y. In men, BMI was higher in unskilled workers than in managers at age 45 y; this difference in BMI increased from 0.82 (95% CI: 0.66, 0.99) at 45 y to 1.06 (95% CI: 0.85, 1.27) at 65 y. Men with a primary school education compared with those with a high school degree at age 45 y had a 0.75 (95% CI: 0.51, 1.00) higher BMI, and this difference increased to 1.32 (95% CI: 1.03,1.62) at age 65 y. Obesity rates were 3.35% and 7.68% at age 45 y and 9.52% and 18.10% at age 65 y in managers and unskilled workers, respectively; the difference in obesity increased by 4.25% (95% CI: 1.87, 6.52). A similar trend was observed in women. Conclusions: Weight continues to increase in the transition between midlife and old age; this increase is greater in lower socioeconomic groups.

An Examination of the factors that shape the subjectivities of female art students in Initial Teacher Training

The school subject of Art and the profession of the primary school teacher are gendered female and both are considered low status within the field of Education and other professional areas of society. A number of sociological studies have examined the impact of gendered socialisation and habitus on females’ career choices and various educational initiatives have been put in place over the years to encourage females to select subjects and/or pursue career paths normally associated with males. Yet Art and primary school teaching continue to be a popular choice with middle class girls. Based on a critical ethnographic study of female BAED Art students, who are training to be primary school teachers, this study is an examination of the many factors, historically and contemporaneously that have shaped and continue to shape the subjectivities of females and frame their aspirations and ambitions. Within this discourse significant aspects of the history of Art and Art Education that have contributed to and influenced the construction of the female artist, and their consequent impact on artistically talented females’ personal identity as artists, are also examined.