2,214 research outputs found
An active curve approach for tomographic reconstruction of binary radially symmetric objects
This paper deals with a method of tomographic reconstruction of radially
symmetric objects from a single radiograph, in order to study the behavior of
shocked material. The usual tomographic reconstruction algorithms such as
generalized inverse or filtered back-projection cannot be applied here because
data are very noisy and the inverse problem associated to single view
tomographic reconstruction is highly unstable. In order to improve the
reconstruction, we propose here to add some a priori assumptions on the looked
after object. One of these assumptions is that the object is binary and
consequently, the object may be described by the curves that separate the two
materials. We present a model that lives in BV space and leads to a non local
Hamilton-Jacobi equation, via a level set strategy. Numerical experiments are
performed (using level sets methods) on synthetic objects
A variational method for tomographic reconstruction with few views
In this article, we focus on tomographic reconstruction. The problem is to determine the shape of the interior interface using a tomographic approach while very few X-ray radiographs are performed. We present a variational model and numerical analysis. We use a modified Nesterov algorithm to compute the solution. Numerical results are presented
Significant edges in the case of a non-stationary Gaussian noise
International audienceIn this paper, we propose an edge detection technique based on some local smoothing of the image followed by a statistical hypothesis testing on the gradient. An edge point being defined as a zero-crossing of the Laplacian, it is said to be a significant edge point if the gradient at this point is larger than a threshold s(\eps) defined by: if the image is pure noise, then \P(\norm{\nabla I}\geq s(\eps) \bigm| \Delta I = 0) \leq\eps. In other words, a significant edge is an edge which has a very low probability to be there because of noise. We will show that the threshold s(\eps) can be explicitly computed in the case of a stationary Gaussian noise. In images we are interested in, which are obtained by tomographic reconstruction from a radiograph, this method fails since the Gaussian noise is not stationary anymore. But in this case again, we will be able to give the law of the gradient conditionally on the zero-crossing of the Laplacian, and thus compute the threshold s(\eps). We will end this paper with some experiments and compare the results with the ones obtained with some other methods of edge detection
Production of interploid hybrids and molecular marker heterozygosity determination using microsatellite markers in the greater yma, D. alata : Importance for the genetic improvement of the greater yam
A large number of interploid hybrids were developed for the first time by controlled hybridisation among D. alata genotypes with different ploidy levels (4x-8x). Four different tetraploid female parental lines and one octoploid male parental line were used. Flow cytometry and microsatellite markers were used to verify the hexaploid nature of progenies. Some of the seeds produced were found to contain embryos but not albumen, and it was therefore necessary to obtain seedlings using embryo culture. Heterozygosity of the Dioscorea alota accessions of the CIRAD collection in Guadeloupe was determined using ten microsatellite markers. This collection includes 60 tetraploid accessions, seven hexaploids and 16 octoploids. Results show that homozygosity-heterozygosity depend on ploidy level. On the average, hexaploid accessions have a higher number of alleles per locus (average=2.8) than tetraploid accessions (average=1.8) which could explain their superior performance observed in the field in comparison to tetraploid varieties. The development of interploid hybrids by crossing distant genotypes with different ploidy levels (4x-8x) appears promising for the genetic improvement of the greater yam, making it possible to maximise heterozygosity and heterosis. The exploitation of this way runs up against the existence, within genetic resource collections, of a low number of 8x clones that can be used as parental lines. The different possibilities that are being explored to create 8x clones will be presented (the doubling of chromosomal stock from 4x accessions, somatic embryogenesis, etc.). (Texte intégral
The long noncoding RNA Wisper controls cardiac fibrosis and remodeling
Long noncoding RNAs (lncRNAs) are emerging as powerful regulators of cardiac development and disease. However, our understanding of the importance of these molecules in cardiac fibrosis is limited. Using an integrated genomic screen, we identified Wisper (Wisp2 super-enhancer–associated RNA) as a cardiac fibroblast–enriched lncRNA that regulates cardiac fibrosis after injury. Wisper expression was correlated with cardiac fibrosis both in a murine model of myocardial infarction (MI) and in heart tissue from human patients suffering from aortic stenosis. Loss-of-function approaches in vitro using modified antisense oligonucleotides (ASOs) demonstrated that Wisper is a specific regulator of cardiac fibroblast proliferation, migration, and survival. Accordingly, ASO-mediated silencing of Wisper in vivo attenuated MI-induced fibrosis and cardiac dysfunction. Functionally, Wisper regulates cardiac fibroblast gene expression programs critical for cell identity, extracellular matrix deposition, proliferation, and survival. In addition, its association with TIA1-related protein allows it to control the expression of a profibrotic form of lysyl hydroxylase 2, implicated in collagen cross-linking and stabilization of the matrix. Together, our findings identify Wisper as a cardiac fibroblast–enriched super-enhancer–associated lncRNA that represents an attractive therapeutic target to reduce the pathological development of cardiac fibrosis in response to MI and prevent adverse remodeling in the damaged heart
Winter Fungi of the North Woods
A simple field guide to assist in identifying winter fungi in northern hardwood forests. This guide is focused on woody species easily found persisting in winter above snow level and with few look-a-likes found in northeastern and north-central North America. Photos and descriptions are from the Upper Peninsula, Michigan.https://digitalcommons.mtu.edu/oabooks/1009/thumbnail.jp
Genotype-Phenotype Correlation in NF1: Evidence for a More Severe Phenotype Associated with Missense Mutations Affecting NF1 Codons 844–848
Neurofibromatosis type 1 (NF1), a common genetic disorder with a birth incidence of 1:2,000–3,000, is characterized by a highly variable clinical presentation. To date, only two clinically relevant intragenic genotype-phenotype correlations have been reported for NF1 missense mutations affecting p.Arg1809 and a single amino acid deletion p.Met922del. Both variants predispose to a distinct mild NF1 phenotype with neither externally visible cutaneous/plexiform neurofibromas nor other tumors. Here, we report 162 individuals (129 unrelated probands and 33 affected relatives) heterozygous for a constitutional missense mutation affecting one of five neighboring NF1 codons—Leu844, Cys845, Ala846, Leu847, and Gly848—located in the cysteine-serine-rich domain (CSRD). Collectively, these recurrent missense mutations affect ∼0.8% of unrelated NF1 mutation-positive probands in the University of Alabama at Birmingham (UAB) cohort. Major superficial plexiform neurofibromas and symptomatic spinal neurofibromas were more prevalent in these individuals compared with classic NF1-affected cohorts (both p < 0.0001). Nearly half of the individuals had symptomatic or asymptomatic optic pathway gliomas and/or skeletal abnormalities. Additionally, variants in this region seem to confer a high predisposition to develop malignancies compared with the general NF1-affected population (p = 0.0061). Our results demonstrate that these NF1 missense mutations, although located outside the GAP-related domain, may be an important risk factor for a severe presentation. A genotype-phenotype correlation at the NF1 region 844–848 exists and will be valuable in the management and genetic counseling of a significant number of individuals
Vegan Diet and Bone Health—Results from the Cross-Sectional RBVD Study
Scientific evidence suggests that a vegan diet might be associated with impaired bone
health. Therefore, a cross-sectional study (n = 36 vegans, n = 36 omnivores) was used to investigate the
associations of veganism with calcaneal quantitative ultrasound (QUS) measurements, along with the
investigation of differences in the concentrations of nutrition- and bone-related biomarkers between
vegans and omnivores. This study revealed lower levels in the QUS parameters in vegans compared
to omnivores, e.g., broadband ultrasound attenuation (vegans: 111.8 ± 10.7 dB/MHz, omnivores:
118.0 ± 10.8 dB/MHz, p = 0.02). Vegans had lower levels of vitamin A, B2, lysine, zinc, selenoprotein
P, n-3 fatty acids, urinary iodine, and calcium levels, while the concentrations of vitamin K1, folate,
and glutamine were higher in vegans compared to omnivores. Applying a reduced rank regression,
12 out of the 28 biomarkers were identified to contribute most to bone health, i.e., lysine, urinary
iodine, thyroid-stimulating hormone, selenoprotein P, vitamin A, leucine, α-klotho, n-3 fatty acids,
urinary calcium/magnesium, vitamin B6, and FGF23. All QUS parameters increased across the
tertiles of the pattern score. The study provides evidence of lower bone health in vegans compared
to omnivores, additionally revealing a combination of nutrition-related biomarkers, which may
contribute to bone health. Further studies are needed to confirm these findings
Vegan Diet and Bone Health—Results from the Cross-Sectional RBVD Study
Scientific evidence suggests that a vegan diet might be associated with impaired bone
health. Therefore, a cross-sectional study (n = 36 vegans, n = 36 omnivores) was used to investigate the
associations of veganism with calcaneal quantitative ultrasound (QUS) measurements, along with the
investigation of differences in the concentrations of nutrition- and bone-related biomarkers between
vegans and omnivores. This study revealed lower levels in the QUS parameters in vegans compared
to omnivores, e.g., broadband ultrasound attenuation (vegans: 111.8 ± 10.7 dB/MHz, omnivores:
118.0 ± 10.8 dB/MHz, p = 0.02). Vegans had lower levels of vitamin A, B2, lysine, zinc, selenoprotein
P, n-3 fatty acids, urinary iodine, and calcium levels, while the concentrations of vitamin K1, folate,
and glutamine were higher in vegans compared to omnivores. Applying a reduced rank regression,
12 out of the 28 biomarkers were identified to contribute most to bone health, i.e., lysine, urinary
iodine, thyroid-stimulating hormone, selenoprotein P, vitamin A, leucine, α-klotho, n-3 fatty acids,
urinary calcium/magnesium, vitamin B6, and FGF23. All QUS parameters increased across the
tertiles of the pattern score. The study provides evidence of lower bone health in vegans compared
to omnivores, additionally revealing a combination of nutrition-related biomarkers, which may
contribute to bone health. Further studies are needed to confirm these findings
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