Tamanho de amostra para estimação do coeficiente de correlação linear de Pearson entre caracteres de milho

O objetivo deste trabalho foi determinar o tamanho de amostra para a estimação do coeficiente de correlação linear de Pearson entre caracteres de três híbridos de milho. Para as análises, foram tomadas aleatoriamente 361, 373 e 416 plantas, respectivamente, de híbridos simples, triplo e duplo. Para cada planta, os seguintes caracteres foram mensurados: diâmetro maior e menor do colmo, altura da planta e altura, peso, comprimento e diâmetro da espiga, número de fileiras por espiga, peso e diâmetro de sabugo, massa de cem grãos, número de grãos por espiga, comprimento e produtividade de grãos. Para cada um dos 91 pares de caracteres e híbridos, foi determinado o tamanho de amostra a partir de "bootstrap", com reposição de 1.000 amostras, de cada tamanho de amostra simulado. Na estimação do coeficiente de correlação linear de Pearson com a mesma precisão, o tamanho de amostra (número de plantas) aumenta na direção de pares de caracteres com menor intensidade de relação linear, independentemente do tipo de híbrido. Para os 91 pares de caracteres estudados, 252 plantas são suficientes para a estimação do coeficiente de correlação linear de Pearson, no intervalo de confiança de "bootstrap" de 95%, igual a 0,30

Differential diagnosis of leukocoria and strabismus, first presenting signs of retinoblastoma.

Leukocoria in infants is always a danger signal as retinoblastoma, a malignant retinal tumor, is responsible for half of the cases in this age group. More common signs should also be considered suspicious until proved otherwise, such as strabismus, the second most frequent sign of retinoblastoma. Less frequent manifestations are inflammatory conditions resistant to treatment, hypopyon, orbital cellulitis, hyphema or heterochromia. Other causal pathologies, including persistent hyperplastic primary vitreous (PHPV), Coats' disease, ocular toxocariasis or retinopathy of prematurity, may also manifest the same warning signs and require specialized differential diagnosis. Members of the immediate family circle are most likely to notice the first signs, the general practitioner, pediatrician or general ophthalmologist the first to be consulted. On their attitude will depend the final outcome of this vision and life-threatening disease. Early diagnosis is vital.

Development and Evaluation of a Portable Device for Measuring Curling and Warping in Concrete Pavements, 2016

Portland cement concrete (PCC) pavement undergoes repeated environmental load-related deflection resulting from temperature and moisture variations across pavement depth. This has been recognized as resulting in PCC pavement curling and warping since the mid-1920s. Slab curvature can be further magnified under repeated traffic loads and may ultimately lead to fatigue failures, including top-down and bottom-up transverse, longitudinal, and corner cracking. It is therefore significant to measure the “true” degree of curling and warping in PCC pavements, not only for quality control (QC) and quality assurance (QA) purposes, but also for better understanding of its relationship to long-term pavement performance. Although several approaches and devices—including linear variable differential transducers (LVDTs), digital indicators, and some profilers—have been proposed for measuring curling and warping, their application in the field is subject to cost, inconvenience, and complexity of operation. This research therefore explores developing an economical and simple device for measuring curling and warping in concrete pavements with accuracy comparable to or better than existing methodologies. Technical requirements were identified to establish assessment criteria for development, and field tests were conducted to modify the device to further enhancement. The finalized device is about 12 inches in height and 18 pounds in weight, and its manufacturing cost is just $320. Detailed development procedures and evaluation results for the new curling and warping measuring device are presented and discussed, with a focus on achieving reliable curling and warping measurements in a cost effective manner.

Differential gene expression in the pathogenic dermatophyte Arthroderma benhamiae in vitro versus during infection.

Although dermatophytes are the most common agents of superficial mycoses in humans and animals, the molecular basis of the pathogenicity of these fungi is largely unknown. In vitro digestion of keratin by dermatophytes is associated with the secretion of multiple proteases, which are assumed to be responsible for their particular specialization to colonize and degrade keratinized host structures during infection. To investigate the role of individual secreted proteases in dermatophytosis, a guinea pig infection model was established for the zoophilic dermatophyte Arthroderma benhamiae, which causes highly inflammatory cutaneous infections in humans and rodents. By use of a cDNA microarray covering approximately 20-25 % of the A. benhamiae genome and containing sequences of at least 23 protease genes, we revealed a distinct in vivo protease gene expression profile in the fungal cells, which was surprisingly different from the pattern elicited during in vitro growth on keratin. Instead of the major in vitro -expressed proteases, others were activated specifically during infection. These enzymes are therefore suggested to fulfil important functions that are not exclusively associated with the degradation of keratin. Most notably, the gene encoding the serine protease subtilisin 6, which is a known major allergen in the related dermatophyte Trichophyton rubrum and putatively linked to host inflammation, was found to be the most strongly upregulated gene during infection. In addition, our approach identified other candidate pathogenicity-related factors in A. benhamiae, such as genes encoding key enzymes of the glyoxylate cycle and an opsin-related protein. Our work provides what we believe to be the first broad-scale gene expression profile in human pathogenic dermatophytes during infection, and points to putative virulence-associated mechanisms that make these micro-organisms the most successful aetiological agents of superficial mycoses.

Estimating parameters for generalized mass action models using constraint propagation.

As modern molecular biology moves towards the analysis of biological systems as opposed to their individual components, the need for appropriate mathematical and computational techniques for understanding the dynamics and structure of such systems is becoming more pressing. For example, the modeling of biochemical systems using ordinary differential equations (ODEs) based on high-throughput, time-dense profiles is becoming more common-place, which is necessitating the development of improved techniques to estimate model parameters from such data. Due to the high dimensionality of this estimation problem, straight-forward optimization strategies rarely produce correct parameter values, and hence current methods tend to utilize genetic/evolutionary algorithms to perform non-linear parameter fitting. Here, we describe a completely deterministic approach, which is based on interval analysis. This allows us to examine entire sets of parameters, and thus to exhaust the global search within a finite number of steps. In particular, we show how our method may be applied to a generic class of ODEs used for modeling biochemical systems called Generalized Mass Action Models (GMAs). In addition, we show that for GMAs our method is amenable to the technique in interval arithmetic called constraint propagation, which allows great improvement of its efficiency. To illustrate the applicability of our method we apply it to some networks of biochemical reactions appearing in the literature, showing in particular that, in addition to estimating system parameters in the absence of noise, our method may also be used to recover the topology of these networks.

Smooth height/age curves from stem analysis with linear programming

[Abstract]

Differential miRNA and IncRNA expression in embryonic stem cells lacking the Notch1 receptor

Embryonic stem (ES) cells-derived cardiomyocytes represent an attractive source of cells in cell replacement therapies for heart disease. However, controlled cardiogenic differentiation of ES cells requires a complete understanding of the complex molecular mechanisms regulating the differentiation process. We have previously shown that differentiation of ES cells into cardiomyocytes is favored by inactivation of the Notch 1 receptor pathway. In the present study, we therefore compared two ES cell lines, one with normal Notchl expression and one carrying deleted Notchl receptor alleles (Notchl-deleted ES cells) in order to identify genes responsible for the increased propensity of Notchl-deleted ES cells to produce cardiomyocytes. Using RNA-sequencing, we found approximately 300 coding and noncoding transcripts, which are differently expressed in undifferentiated Notchl-deleted ES cells. Since accumulating evidences indicate that long noncoding RNAs (IncRNAs) play important roles in ES cell pluripotency and differentiation, we focused our analysis on modulated IncRNAs. In particular, two IncRNAs, named here lnc 1230 and lnc 1335, are highly induced in the absence of Notchl receptor expression. These represent therefore prime candidates that could favor cardiogenic commitment in undifferentiated ES cells. Indeed, we demonstrate that forced expression of these two IncRNAs in wild-type ES cells result in a significant increase of the number of cardiac progenitor cells and cardiomyocytes in the differentiated progeny of these ES cells. Furthermore, we also identify several microRNAs that are differentially modulated in absence of Notchl expression. Among these are miR-142-5p and miR- 381-3p. Interestingly, both lncl230 and lncl335 are targets of these two microRNAs. Altogether, these data suggest that Notchl-dependent noncoding gene networks, implicating microRNAs and IncRNAs, control embryonic stem cell commitment into the mesodermal and cardiac lineages already at the undifferentiated state. - Les cardiomyocytes issus cellules souches embryonnaires sont une source très prometteuse pour les thérapies cellulaire de remplacement dans le cadre des maladies cardiaques. Cependant, l'utilisation de telles cellules requiert une compréhension poussée des mécanismes moléculaire régulant la différenciation. Nous avons par le passé démontré que la différenciation des cellules souches embryonnaires en cardiomyocytes est favorisée par l'inactivation de la voie d'activation intracellulaire dépendante du récepteur Notch 1. Nous avons donc comparé deux lignées de cellules souches embryonnaires, une présentant une voie d'activation Notchl normale et une chez laquelle les allèles codant pour le récepteur Notchl avaient été invalidés, de façon à identifier les gènes impliqués dans la capacité augmentée des cellules déficientes à produire des cardiomyocytes. En utilisant du séquençage d'ARN à haut débit, nous avons trouvé environ 300 gènes différemment exprimés dans les cellules déficientes pour Notchl. Par ailleurs, des évidences de plus en plus nombreuses suggèrent qu'une nouvelle classe de molécules appelée « long noncoding RNAs » joue un rôle prépondérant dans la maintenance de l'état non différencié et de la capacité de différenciation des cellules souches embryonnaires. Nous avons trouvé que plusieurs « long noncoding RNAs » étaient modulés en l'absence de Notchl, et en particulier deux molécules que nous avons appelées lncl230 et lncl335. Ces derniers représentent des candidats potentiels devant permettre de favoriser la production de cardiomyocytes. Nous avons en effet démontré que la surexpression de ces deux candidats dans des cellules souches embryonnaires résultait en une surproduction de cardiomyocytes. De plus, nous avons également identifié plusieurs microRNAs dont l'expression était modulée dans les cellules souches embryonnaires déficientes dans la voie Notchl. De façon intéressante, parmi ces microRNAs, le miR-142-5p et le miR-381-3p sont capables de cibler lncl230 and lncl335. Dans l'ensemble, ces résultats indiquent donc que des réseaux d'interaction dépendant de la voie d'activation Notch 1 et impliquant des ARNs non codant existent dans les cellules souches embryonnaires pour réguler leur différenciation en différent types cellulaires spécifiques.

Degree of multicollinearity and variables involved in linear dependence in additive-dominant models

The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03 - 70.20 for RM and 1.03 - 60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non-additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition.

A random linear functional approach to efficiency bounds

This paper suggests a method for obtaining efficiency bounds in models containing either only infinite-dimensional parameters or both finite- and infinite-dimensional parameters (semiparametric models). The method is based on a theory of random linear functionals applied to the gradient of the log-likelihood functional and is illustrated by computing the lower bound for Cox's regression model

High capacity robust audio watermarking scheme based on FFT and linear regression

Peer-reviewed

Linear prediction application for modelling the relationships between a large number of stand characteristics of Norway spruce stands

Abstract

Comments on "On resistor-induced thermal noise in linear circuits"

Correspondència referida a l'article de R. Giannetti, publicat ibid. vol.49 p.87-88

Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.