A connectome-based comparison of diffusion MRI schemes.

Diffusion MRI has evolved towards an important clinical diagnostic and research tool. Though clinical routine is using mainly diffusion weighted and tensor imaging approaches, Q-ball imaging and diffusion spectrum imaging techniques have become more widely available. They are frequently used in research-oriented investigations in particular those aiming at measuring brain network connectivity. In this work, we aim at assessing the dependency of connectivity measurements on various diffusion encoding schemes in combination with appropriate data modeling. We process and compare the structural connection matrices computed from several diffusion encoding schemes, including diffusion tensor imaging, q-ball imaging and high angular resolution schemes, such as diffusion spectrum imaging with a publically available processing pipeline for data reconstruction, tracking and visualization of diffusion MR imaging. The results indicate that the high angular resolution schemes maximize the number of obtained connections when applying identical processing strategies to the different diffusion schemes. Compared to the conventional diffusion tensor imaging, the added connectivity is mainly found for pathways in the 50-100mm range, corresponding to neighboring association fibers and long-range associative, striatal and commissural fiber pathways. The analysis of the major associative fiber tracts of the brain reveals striking differences between the applied diffusion schemes. More complex data modeling techniques (beyond tensor model) are recommended 1) if the tracts of interest run through large fiber crossings such as the centrum semi-ovale, or 2) if non-dominant fiber populations, e.g. the neighboring association fibers are the subject of investigation. An important finding of the study is that since the ground truth sensitivity and specificity is not known, the comparability between results arising from different strategies in data reconstruction and/or tracking becomes implausible to understand.

Mixed spectral-structural classification of very high resolution images with summation kernels

In this paper, mixed spectral-structural kernel machines are proposed for the classification of very-high resolution images. The simultaneous use of multispectral and structural features (computed using morphological filters) allows a significant increase in classification accuracy of remote sensing images. Subsequently, weighted summation kernel support vector machines are proposed and applied in order to take into account the multiscale nature of the scene considered. Such classifiers use the Mercer property of kernel matrices to compute a new kernel matrix accounting simultaneously for two scale parameters. Tests on a Zurich QuickBird image show the relevance of the proposed method : using the mixed spectral-structural features, the classification accuracy increases of about 5%, achieving a Kappa index of 0.97. The multikernel approach proposed provide an overall accuracy of 98.90% with related Kappa index of 0.985.

Molecular characterization of soybean cultivars by microsatellite markers with universal tail sequence

The objective of this work was to standardize a semiautomated method for genotyping soybean, based on universal tail sequence primers (UTSP), and to compare it with the conventional genotyping method that uses electrophoresis in polyacrylamide gels. Thirty soybean cultivars were genotypically characterized by both methods, using 13 microsatellite loci. For the UTSP method, the number of alleles (NA) was 50 (2-7 per marker) and the polymorphic information content (PIC) ranged from 0.40 to 0.74. For the conventional method, the NA was 38 (2-5 per marker) and the PIC varied from 0.39 to 0.67. The genetic dissimilarity matrices obtained by the two methods were highly correlated with each other (0.8026), and the formed groups were coherent with the phenotypic data used for varietal registration. The 13 markers allowed the distinction of all analyzed cultivars. The low cost of the UTSP method, associated with its high accuracy, makes it ideal for the characterization of soybean cultivars and for the determination of genetic purity.

Decrease in luteinizing hormone pulse frequency during a five-hour peripheral Ghrelin infusion in the ovariectomized rhesus monkey

RESUME : La ghrelin est un peptide sécrété par l'estomac jouant un rôle important dans le maintien de l'homéostasie énergétique. Ses taux plasmatiques sont augmentés durant des périodes prolongées de déficit nutritionnel. Une carence énergétique étant souvent associée à une inhibition de l'axe hypothalamo-hypophyso-ovarien, nous avons postulé que l'augmentation des taux circulant de ghrelin pourrait diminuer l'activité du générateur hypothalamique de pulsations de GnRH. Le protocole expérimental impliquait des singes rhésus adultes ovariectomisés (n=6) qui dans un premier temps recevaient durant 3 heures une perfusion de solution saline physiologique afin de mesurer la sécrétion pulsatile de LH à l'état basai. L'expérience se poursuivait alors durant 5 heures par une perfusion intraveineuse de ghrelin humaine (un bolus de 100-150µg suivi par 100-150µg/h) ou le maintien de la perfusion de solution saline physiologique. Des échantillons de sang étaient prélevés toutes les 15 minutes. La perfusion de ghrelin a augmenté ses taux plasmatiques de 2.9 fois par rapport aux valeurs de base. L'administration de ghrelin a significativement diminué la fréquence des pulsations de LH (de 0.89±0.07/h à l'état basai à 0.57±0.10/h durant la perfusion de ghrelin; p<0.05, moyenne±SEM), alors que la fréquence des pulsations de LH est restée inchangée durant la perfusion de solution physiologique. L'amplitude des pulsations de LH n'a pas été modifiée. La ghrelin a également stimulé de manière significative la sécrétion de cortisol et d'hormone de croissance, mais n'a toutefois pas eu d'effet sur la sécrétion de leptin. En conclusion, la ghrelin peut inhiber l'activité du générateur de pulsations de GnRH et pourrait ainsi contribuer à l'inhibition de l'axe de la reproduction observée durant des périodes de carence nutritionnelle, comme notamment chez les patientes souffrant d'anorexie mentale. La ghrelin peut également activer l'axe hypothalamo-hypophyso-surrénalien. Le lien dans cette situation entre l'activation de l'axe surrénalien et l'inhibition de l'axe de la reproduction reste à démontrer. ABSTRACT: Ghrelin, a nutrition-related peptide secreted by the stomach, is elevated during prolonged food deprivation. Because undernutrition is often associated with a suppressed reproductive axis, we have postulated that increasing peripheral ghrelin levels will decrease the activity of the GnRH pulse generator. Adult ovariectomized rhesus monkeys (n = 6) were subjected to a 5-h iv human ghrelin (100- to 150µg bolus followed by 100-150 µg/h) or saline infusion, preceded by a 3-h saline infusion to establish baseline pulsatile LH release. Blood samples were collected at 15-min intervals throughout the experiment. Ghrelin infusion increased plasma ghrelin levels 2.9-fold of baseline. Ghrelin significantly decreased LH pulse frequency (from 0.89 ± 0.07/h in baseline to 0.57 ± 0.10/h during ghrelin infusion; P<0.05, mean ± SEM), whereas LH pulse frequency remained unchanged during saline treatment. LH pulse amplitude was not affected. Ghrelin also significantly stimulated both Cortisol and GH release, but had no effect on leptin. We conclude that ghrelin can inhibit GnRH pulse activity and may thereby mediate the suppression of the reproductive system observed in conditions of undernutrition, such as in anorexia nervosa. Ghrelin also activates the adrenal axis, but the relevance of this to the inhibition of GnRH pulse frequency remains to be established.

JPEG standard uniform quantization error modeling with applications to sequential and progressive operation modes

In this paper we propose a method for computing JPEG quantization matrices for a given mean square error or PSNR. Then, we employ our method to compute JPEG standard progressive operation mode definition scripts using a quantization approach. Therefore, it is no longer necessary to use a trial and error procedure to obtain a desired PSNR and/or definition script, reducing cost. Firstly, we establish a relationship between a Laplacian source and its uniform quantization error. We apply this model to the coefficients obtained in the discrete cosine transform stage of the JPEG standard. Then, an image may be compressed using the JPEG standard under a global MSE (or PSNR) constraint and a set of local constraints determined by the JPEG standard and visual criteria. Secondly, we study the JPEG standard progressive operation mode from a quantization based approach. A relationship between the measured image quality at a given stage of the coding process and a quantization matrix is found. Thus, the definition script construction problem can be reduced to a quantization problem. Simulations show that our method generates better quantization matrices than the classical method based on scaling the JPEG default quantization matrix. The estimation of PSNR has usually an error smaller than 1 dB. This figure decreases for high PSNR values. Definition scripts may be generated avoiding an excessive number of stages and removing small stages that do not contribute during the decoding process with a noticeable image quality improvement.

A cophenetic correlation coefficient for Tocher's method

The objective of this work was to propose a way of using the Tocher's method of clustering to obtain a matrix similar to the cophenetic one obtained for hierarchical methods, which would allow the calculation of a cophenetic correlation. To illustrate the obtention of the proposed cophenetic matrix, we used two dissimilarity matrices - one obtained with the generalized squared Mahalanobis distance and the other with the Euclidean distance - between 17 garlic cultivars, based on six morphological characters. Basically, the proposal for obtaining the cophenetic matrix was to use the average distances within and between clusters, after performing the clustering. A function in R language was proposed to compute the cophenetic matrix for Tocher's method. The empirical distribution of this correlation coefficient was briefly studied. For both dissimilarity measures, the values of cophenetic correlation obtained for the Tocher's method were higher than those obtained with the hierarchical methods (Ward's algorithm and average linkage - UPGMA). Comparisons between the clustering made with the agglomerative hierarchical methods and with the Tocher's method can be performed using a criterion in common: the correlation between matrices of original and cophenetic distances.

Genetic diversity of irrigated barley based on molecular and quantitative data and on malting quality

The objective of this work was to quantify the genetic diversity of elite genotypes of irrigated barley in the Brazilian savanna. Thirty elite barley genotypes from Embrapa Cerrados' collection were evaluated using 160 RAPD markers, 12 agronomic traits related to yield components, and 10 malting quality parameters. The genetic dissimilarity matrices based on molecular markers, quantitative traits, and malting quality characters were calculated and a cluster analysis was performed using the unweighted pair-group method with arithmetic mean (UPGMA) as grouping criterion. High genetic diversity among accessions were observed. The estimated genetic dissimilarities were weakly correlated, showing the complementarity of the different character groups. Selection indices and graphical dispersion analysis allowed the selection of promising genotypes and the indication of suitable crosses for maximizing the heterotic effects in breeding programs for irrigated barley in the Brazilian savanna.

Maternal exposure to polychlorinated biphenyls and the secondary sex ratio: an occupational cohort study.

Background: Though commercial production of polychlorinated biphenyls was banned in the United States in 1977, exposure continues due to their environmental persistence. Several studies have examined the associationbetween environmental polychlorinated biphenyl exposure and modulations of the secondary sex ratio, with conflicting results.Objective: Our objective was to evaluate the association between maternal preconceptional occupational polychlorinated biphenyl exposure and the secondary sex ratio.Methods: We examined primipara singleton births of 2595 women, who worked in three capacitor plants at least one year during the period polychlorinated biphenyls were used. Cumulative estimated maternal occupationalpolychlorinated biphenyl exposure at the time of the infant's conception was calculated from plant-specific job exposure matrices. A logistic regression analysis was used to evaluate the association between maternalpolychlorinated biphenyl exposure and male sex at birth (yes/no).Results: Maternal body mass index at age 20, smoking status, and race did not vary between those occupationally exposed and those unexposed before the child's conception. Polychlorinated biphenyl-exposed mothers were, however, more likely to have used oral contraceptives and to have been older at the birth of their first child than non-occupationally exposed women. Among 1506 infants liveborn to polychlorinated biphenyl-exposedprimiparous women, 49.8% were male; compared to 49.9% among those not exposed (n = 1089). Multivariate analyses controlling for mother's age and year of birth found no significant association between the odds of amale birth and mother's cumulative estimated polychlorinated biphenyl exposure to time of conception.Conclusions: Based on these data, we find no evidence of altered sex ratio among children born to primiparous polychlorinated biphenyl-exposed female workers.

Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI

This paper presents a Bayesian approach to the design of transmit prefiltering matrices in closed-loop schemes robust to channel estimation errors. The algorithms are derived for a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Two different optimizationcriteria are analyzed: the minimization of the mean square error and the minimization of the bit error rate. In both cases, the transmitter design is based on the singular value decomposition (SVD) of the conditional mean of the channel response, given the channel estimate. The performance of the proposed algorithms is analyzed,and their relationship with existing algorithms is indicated. As withother previously proposed solutions, the minimum bit error rate algorithmconverges to the open-loop transmission scheme for very poor CSI estimates.

Average performance analysis of circular and hyperbolic geolocation

A comparative performance analysis of four geolocation methods in terms of their theoretical root mean square positioning errors is provided. Comparison is established in two different ways: strict and average. In the strict type, methods are examined for a particular geometric configuration of base stations(BSs) with respect to mobile position, which determines a givennoise profile affecting the respective time-of-arrival (TOA) or timedifference-of-arrival (TDOA) estimates. In the average type, methodsare evaluated in terms of the expected covariance matrix ofthe position error over an ensemble of random geometries, so thatcomparison is geometry independent. Exact semianalytical equationsand associated lower bounds (depending solely on the noiseprofile) are obtained for the average covariance matrix of the positionerror in terms of the so-called information matrix specific toeach geolocation method. Statistical channel models inferred fromfield trials are used to define realistic prior probabilities for therandom geometries. A final evaluation provides extensive resultsrelating the expected position error to channel model parametersand the number of base stations.

Second-order parameter estimation

This work provides a general framework for the design of second-order blind estimators without adopting anyapproximation about the observation statistics or the a prioridistribution of the parameters. The proposed solution is obtainedminimizing the estimator variance subject to some constraints onthe estimator bias. The resulting optimal estimator is found todepend on the observation fourth-order moments that can be calculatedanalytically from the known signal model. Unfortunately,in most cases, the performance of this estimator is severely limitedby the residual bias inherent to nonlinear estimation problems.To overcome this limitation, the second-order minimum varianceunbiased estimator is deduced from the general solution by assumingaccurate prior information on the vector of parameters.This small-error approximation is adopted to design iterativeestimators or trackers. It is shown that the associated varianceconstitutes the lower bound for the variance of any unbiasedestimator based on the sample covariance matrix.The paper formulation is then applied to track the angle-of-arrival(AoA) of multiple digitally-modulated sources by means ofa uniform linear array. The optimal second-order tracker is comparedwith the classical maximum likelihood (ML) blind methodsthat are shown to be quadratic in the observed data as well. Simulationshave confirmed that the discrete nature of the transmittedsymbols can be exploited to improve considerably the discriminationof near sources in medium-to-high SNR scenarios.

Selection of the most informative morphoagronomic descriptors for cassava germplasm

The objective of this work was to select the most informative morphoagronomic descriptors for cassava (Manihot esculenta) germplasm and to evaluate the ability of different methods to select the descriptors. Ninety-five accessions were characterized using 51 morphoagronomic descriptors. Data were subjected to a multiple correspondence analysis (MCA), whose information was used in the following four methods of descriptor selection: reverse order of the descriptor for the pth factorial axis of the MCA (Jolliffe); sequential, multiple correspondence analysis (SMCA); mean of the contribution orders of the descriptor in the first three factorial axes (C3PA); and C3PA method weighted by the respective eigenvalues of the full analysis (C3PAWeig). The correlations between the dissimilarity matrix with all descriptors and the most informative descriptors were high and significant (0.75, 0.77, 0.83, and 0.84 for C3PAWeig, C3PA, SMCA, and Jolliffe, respectively). The less informative descriptors were discarded, considering those common among the selection methods and relevant for the breeding interests. Therefore, 32 morphoagronomic descriptors with correlation between the dissimilarity matrices (r=0.81) were selected, due to their high capacity to discriminate cassava germplasm and to their ability to maintain some preliminary agronomic traits, useful for the initial characterization of the germplasm.

Genetic variability of hull-less barley accessions based on molecular and quantitative data

The objective of this work was to characterize and quantify the genetic, molecular, and agronomic variability of hull-less barley genotypes, for the selection of parents and identification of genotypes adapted to the irrigated production system in the Brazilian Cerrado. Eighteen hull-less barley accessions were evaluated, and three covered barley accessions served as reference. The characterization was based on 157 RAPD molecular markers and ten agronomic traits. Genetic distance matrices were obtained based on molecular markers and quantitative traits. Graphic grouping and dispersion analyses were performed. Genetic, molecular, and agronomic variability was high among genotypes. Ethiopian accessions were genetically more similar, and the Brazilian ones were genetically more distant. For agronomic traits, two more consistent groupings were obtained, one with the most two-rowed materials, and the other with six-rowed materials. The more diverging materials were the two-rowed CI 13453, CN Cerrado 5, CN Cerrado 1, and CN Cerrado 2. The PI 356466, CN Cerrado 1, PI 370799, and CI 13453 genotypes show agronomic traits of interest and, as genetically different genotypes, they are indicated for crossing, in breeding programs.

Benchmarking project of the Department of Electrical Engineering of Lappeenranta University of Technology

Lappeenrannan teknillisen korkeakoulun sähkötekniikan osasto muutti 1.8.2005 sähkötekniikan tutkinnon kaksiportaiseksi ja vastaamaan näin Bologna-prosessia ja Suomen yliopistolainsäädäntöä. Tutkinnonuudistuksen myötä osasto haluaa varmistaa sähkötekniikan tutkintojen laadun ja vertailtavuuden sekä parantaa opiskelijoidensekä henkilökunnan liikkuvuutta. Tutkintojen laatu ja vertailtavuus osoitetaan sähkötekniikan osaston benchmark-projektilla, jossa kerätään tietoja maisteri- ja tohtorintutkintoa tarjoavista eurooppalaisista yliopistoista. Diplomityö käsittää BM-projektin kolmannen vaiheen suunnittelun ja toteutuksen sisältäen teoriaa benchmark-projekteille tyypillisistä toimintatavoista. Hyväksi havaitut menetelmiä, kuten kyselyt ja matriisit, on tässä työssä otettu soveltuvin osin sähkötekniikan osaston BM-projektin työkaluiksi. Diplomityössä analysoidaan työkalujen avulla BM-kumppaneilta kerättyjä tietoja sekä esitetään ratkaisuja, miten sähkötekniikan osastolla voidaan jatkaa parhaiden toimintatapojen löytämistä.

Konfiguroituvan tuotteen tuoterakennesystematiikan kehittäminen

Ponsse Oyj:n kaltainen konfiguroituvaa, monimutkaista tuotetta valmistava yhtiö tarvitsee ehdottomasti nykyaikaisen modulaarisuuteen perustuvan tuoterakennesystematiikan. Käyttämällä osioita eri modulaarisuusmalleista ja soveltamalla niitä Ponssen näkökulmasta kaikkein edullisimmalla tavalla, on kehitetty ensimmäinen case - tapaus ja sen myötä mahdollisimman yksinkertainen toimintamalli. Mallissa on otettu huomioon myös useat tuoterakenteen kanssa vuorovaikutuksessa olevat tekijät. Myyntitilanteen valinnat ovat listattu konfigurointimatriisiin ja ne voivat olla itsenäisiä tai sulkea pois joitakin toisia valintoja. Kun sopiva koneyksilö on muodostettu, saadaan matriisista samantien tulostettua valintojen mukainen tuoteyksilö. Tuoteyksilön moduulirakenne toimii kyseisen, yksittäisen koneen työmääräimenä sekä koneenvalmistuksen dokumenttina, sillä luettelon yksi moduuli on yhden valmistettavantyövaiheen moduulipiirustus alimoduuleineen ja osineen. Moduulipiirustusten on siis otettava huomioon tuotannon, oston, suunnittelun ja dokumentoinnin näkökulmat. Piirustuksen laatijan on tiedettävä kyseisen moduulin valmistus eli koottavan komponenttikokoelman laajuus sekä tuotantolinjan että osto-osaston intressien mukaisesti. Piirustuksen on nivouduttava sitä kutsuvaan matriisiin ja kyseisen moduulin valinnan kytköksiin muihin moduuleihin nähden. Kaiken lisäksi piirustuksen on toimittava kokoonpano-ohjeena sekä jälkimarkkinoinnin työkaluna. Tässä työssä muodostettiin metsätraktorin ohjaamosta esimerkkitapaus. Case tapauksessa käytettiin työssä esitettyä uutta tuoterakennesystematiikkaa uuden modulaarisuussäännöstön käytöstä, laskettu sen aiheuttamat muutokset ja sen tuotantoon otosta on kerätty ensimmäiset kommentit. Esimerkillä pyrittiin saavuttamaan modulaarisen tuoterakenteen mahdollistamat edut ja projektia on jatkettu Ponsse Oyj:llä käsittämään muitakin tuotekokonaisuuksia.