407 research outputs found
Satellite holmium M-edge spectra from the magnetic phase via resonant x-ray scattering
Developing an expression of resonant x-ray scattering (RXS) amplitude which
is convenient for investigating the contributions from the higher rank tensor
on the basis of a localized electron picture, we analyze the RXS spectra from
the magnetic phases of Ho near the absorption edges. At the
edge in the uniform helical phase, the calculated spectra of the absorption
coefficient, the RXS intensities at the first and second satellite spots
capture the properties the experimental data possess, such as the spectral
shapes and the peak positions. This demonstrates the plausibility of the
adoption of the localized picture in this material and the effectiveness of the
spectral shape analysis. The latter point is markedly valuable since the
azimuthal angle dependence, which is one of the most useful informations RXS
can provides, is lacking in the experimental conditions. Then, by focusing on
the temperature dependence of the spectral shape at the second satellite spot,
we expect that the spectrum is the contribution of the pure rank two profile in
the uniform helical and the conical phases while that is dominated by the rank
one profile in the intermediate temperature phase, so-called spin slip phase.
The change of the spectral shape as a function of temperature indicates a
direct evidence of the change of magnetic structures undergoing. Furthermore,
we predict that the intensity, which is the same order observed at the second
satellite spot, is expected at the fourth satellite spot from the conical phase
in the electric dipolar transition.Comment: 24 pages, 5 figure
High-Throughput Production of Influenza Virus-Like Particle (VLP) Array by Using VLP-factory™, a MultiBac Baculoviral Genome Customized for Enveloped VLP Expression
Life-threatening hypersplenism due to idiopathic portal hypertension in early childhood: case report and review of the literature
<p>Abstract</p> <p>Background</p> <p>Idiopathic portal hypertension (IPH) is a disorder of unknown etiology and is characterized clinically by portal hypertension, splenomegaly, and hypersplenism accompanied by pancytopenia. This study evaluates the pathogenic concept of the disease by a systematic review of the literature and illustrates novel pathologic and laboratory findings.</p> <p>Case Presentation</p> <p>We report the first case of uncontrolled splenic hyperperfusion and enlargement with subsequent hypersplenism leading to life-threatening complications of IPH in infancy and emergent splenectomy.</p> <p>Conclusions</p> <p>Our results suggest that splenic NO and VCAM-1, rather than ET-1, have a significant impact on the development of IPH, even at a very early stage of disease. The success of surgical interventions targeting the splenic hyperperfusion suggests that the primary defect in the regulation of splenic blood flow seems to be crucial for the development of IPH. Thus, beside other treatment options splenectomy needs to be considered as a prime therapeutic option for IPH.</p
Glucocorticoid receptor gene polymorphisms associated with progression of lung disease in young patients with cystic fibrosis
<p>Abstract</p> <p>Background</p> <p>The variability in the inflammatory burden of the lung in cystic fibrosis (CF) patients together with the variable effect of glucocorticoid treatment led us to hypothesize that <it>glucocorticoid receptor </it>(<it>GR</it>) gene polymorphisms may affect glucocorticoid sensitivity in CF and, consequently, may contribute to variations in the inflammatory response.</p> <p>Methods</p> <p>We evaluated the association between four <it>GR </it>gene polymorphisms, <it>TthIII</it>, <it>ER22/23EK</it>, <it>N363S </it>and <it>BclI</it>, and disease progression in a cohort of 255 young patients with CF. Genotypes were tested for association with changes in lung function tests, infection with <it>Pseudomonas aeruginosa </it>and nutritional status by multivariable analysis.</p> <p>Results</p> <p>A significant non-corrected for multiple tests association was found between <it>BclI </it>genotypes and decline in lung function measured as the forced expiratory volume in one second (FEV<sub>1</sub>) and the forced vital capacity (FVC). Deterioration in FEV<sub>1 </sub>and FVC was more pronounced in patients with the <it>BclI </it>GG genotype compared to the group of patients with <it>BclI </it>CG and CC genotypes (p = 0.02 and p = 0.04 respectively for the entire cohort and p = 0.01 and p = 0.02 respectively for F508del homozygous patients).</p> <p>Conclusion</p> <p>The <it>BclI </it>polymorphism may modulate the inflammatory burden in the CF lung and in this way influence progression of lung function.</p
Specific genomic aberrations in primary colorectal cancer are associated with liver metastases
Background: Accurate staging of colorectal cancer (CRC) with clinicopathological parameters is important for predicting prognosis and guiding treatment but provides no information about organ site of metastases. Patterns of genomic aberrations in primary colorectal tumors may reveal a chromosomal signature for organ specific metastases. Methods: Array Comparative Genomic Hybridization (aCGH) was employed to asses DNA copy number changes in primary colorectal tumors of three distinctive patient groups. This included formalin-fixed, paraffin-embedded tissue of patients who developed liver metastases (LM; n = 36), metastases (PM; n = 37) and a group that remained metastases-free (M0; n = 25). A novel statistical method for identifying recurrent copy number changes, KC-SMART, was used to find specific locations of genomic aberrations specific for various groups. We created a classifier for organ specific metastases based on the aCGH data using Prediction Analysis for Microarrays (PAM). Results: Specifically in the tumors of primary CRC patients who subsequently developed liver metastasis, KC-SMART analysis identified genomic aberrations on chromosome 20q. LM-PAM, a shrunken centroids classifier for liver metastases occurrence, was able to distinguish the LM group from the other groups (M0&PM) with 80% accuracy (78% sensitivity and 86% specificity). The classification is predominantly based on chromosome 20q aberrations. Conclusion: Liver specific CRC metastases may be predicted with a high accuracy based on specific genomic aberrations in the primary CRC tumor. The ability to predict the site of metastases is important for improvement of personalized patient management.MediamaticsElectrical Engineering, Mathematics and Computer Scienc
Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells
Using transcriptomic and metabolomic measurements from the NCI60 cell line panel,
together with a novel approach to integration of molecular profile data, we show
that the biochemical pathways associated with tumour cell chemosensitivity to
platinum-based drugs are highly coincident, i.e. they describe a consensus
phenotype. Direct integration of metabolome and transcriptome data at the point
of pathway analysis improved the detection of consensus pathways by 76%,
and revealed associations between platinum sensitivity and several metabolic
pathways that were not visible from transcriptome analysis alone. These pathways
included the TCA cycle and pyruvate metabolism, lipoprotein uptake and
nucleotide synthesis by both salvage and de novo pathways. Extending the
approach across a wide panel of chemotherapeutics, we confirmed the specificity
of the metabolic pathway associations to platinum sensitivity. We conclude that
metabolic phenotyping could play a role in predicting response to platinum
chemotherapy and that consensus-phenotype integration of molecular profiling
data is a powerful and versatile tool for both biomarker discovery and for
exploring the complex relationships between biological pathways and drug
response
Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases
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