Search results for "STED"
showing 10 items of 2256 documents
Multiple Site-Specific Binding of Fis Protein to Escherichia coli nuoA-N Promoter DNA and its Impact on DNA Topology Visualised by Means of Scanning …
2004
Description of Tropicibacter mediterraneus sp. nov. and Tropicibacter litoreus sp. nov.
2013
Four strains (M15∅_3, M17(T), M49 and R37(T)) were isolated from Mediterranean seawater at Malvarrosa beach, Valencia, Spain. Together with an older preserved isolate (strain 2OM6) from cultured oysters at Vinaroz, Castellón, Spain, the strains were thoroughly characterized in a polyphasic study and were placed phylogenetically within the Roseobacter clade in the family Rhodobacteraceae. Highest 16S rRNA sequence similarities of the five strains to the types of any established species corresponded to Tropicibacter multivorans (95.8-96.4%), Phaeobacter inhibens (95.9-96.3%) and Phaeobacter gallaeciensis (95.9-96.2%). On the other hand, whole genome (ANI) and protein fingerprinting (MALDI-TOF…
Genetic diversity and phenotypic characterization of Iodobacter limnosediminis associated with skin lesions in freshwater fish
2021
The relatively unknown genus Iodobacter sp. has been repeatedly isolated from skin ulcers and saprolegniosis on freshwater fish in Finland, especially farmed salmonids. Genetic characterization verified that all 23 bacterial isolates studied here belonged to the species Iodobacter limnosediminis, previously undescribed from the fish microbiota. Whole-genome pulsed-field gel electrophoresis revealed variability between the I. limnosediminis strains, suggesting that they were most likely of environmental origin. Two I. limnosediminis strains caused lesions in 27%–53% of brown trout (Salmo trutta) injected intramuscularly (p ≤ .05). The lesions represented moderate to severe tissue damage, but…
Digital image processing for rapid analysis of differentially expressed transcripts on high-density cDNA arrays.
1999
Usage of filter arrays is becoming increasingly attractive for many research laboratories involved in determination of gene-expression profiles. However, analysis of numerous spots, representing genes or partial gene sequences (ESTs), is still tedious work involving the ordered analysis of vast amounts of numerical tabular data. We present a rapid and efficient method for the visual identification of differentially expressed targets on high-density cDNA filter arrays using standard laboratory equipment and standard software, which is available for free. The method we introduce provides an inexpensive alternative, and no changes in the experimental set up are required. Our results were veri…
Identification of a novel Drosophila melanogaster gene, angel, a member of a nested gene cluster at locus 59F4,5.
1996
The identification of a novel Drosophila melanogaster gene, angel, is presented in this study. angel is located on the right arm of the second chromosome at locus 59F5, close to the nested genes l(2)tid, l(2)not, l(2)rot and l(2)dtl. We describe the genetic and molecular localization of angel and present its temporal expression in the wild-type. The deduced amino acid sequence of the ANG39 protein is characterized by a nuclear localization signal. Furthermore, the central part of the predicted ANG39 protein shows significant homology to the C-terminal portion of the yeast transcriptional effector CCR4.
Growth form matters – Crustose lichens on dead wood are sensitive to forest management
2022
Lichens have a vital role in forest ecosystems and they are a threatened group in boreal forests. However, the conservation ecology of the total lichen community has very rarely been studied. Here we studied lichen species and communities, including macrolichens (=foliose and fruticose growth forms) and rarely studied crustose li-chens, on decaying wood in boreal spruce-dominated forests in Finland. We also studied obligate lignicoles that grow only on dead wood and are mostly crustose in growth form. Species richness and community composition were examined on decaying logs and natural or cut stumps of Picea abies at different decay stages (2-5) in 14 stands, half of which were natural or s…
Machine learning at the interface of structural health monitoring and non-destructive evaluation
2020
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…
Insulin and other antidiabetic drugs and hepatocellular carcinoma risk: a nested case-control study based on Italian healthcare utilization databases
2015
Purpose Insulin and other antidiabetic drugs may modulate hepatocellular carcinoma (HCC) risk in diabetics. Methods We have analyzed the role of various antidiabetic drugs on HCC in a nested case-control study using the healthcare utilization databases of the Lombardy Region in Italy. This included 190 diabetic subjects with a hospital discharge reporting a diagnosis of malignant HCC and 3772 diabetic control subjects matched to each case on sex, age, date at cohort entry, and duration of follow-up. Results Increased risks of HCC were found for use of insulin (odds ratio [OR] = 3.73, 95% confidence interval [CI] 2.52–5.51), sulfonylureas (OR = 1.39, 95%CI 0.98–1.99), and repaglinide (OR = 2…
FABC: Retinal Vessel Segmentation Using AdaBoost
2010
This paper presents a method for automated vessel segmentation in retinal images. For each pixel in the field of view of the image, a 41-D feature vector is constructed, encoding information on the local intensity structure, spatial properties, and geometry at multiple scales. An AdaBoost classifier is trained on 789 914 gold standard examples of vessel and nonvessel pixels, then used for classifying previously unseen images. The algorithm was tested on the public digital retinal images for vessel extraction (DRIVE) set, frequently used in the literature and consisting of 40 manually labeled images with gold standard. Results were compared experimentally with those of eight algorithms as we…
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.
2019
In this paper, we present a novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed model is an extension of the U-net that embeds a cardiac shape prior and involves a loss function tailored to the cardiac anatomy. Since the shape prior is computed offline only once, the execution of our model is not limited by its calculation. Our system takes as input raw magnetic resonance images, requires no manual preprocessing or image cropping and is trained to segment the endocardium and epicardium of the left ventricle, the endocardium of the right ventricle, as well as the center of the left ventricle. Wit…