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Background radiation in inelastic X-ray scattering and X-ray emission spectroscopy. A study for Johann-type spectrometers
(Elsevier Science, 2018-06-21)
A study of the background radiation in inelastic X-ray scattering (IXS) and X-ray emission spectroscopy (XES) based on an analytical model is presented. The calculation model considers spurious radiation originated from ...
Predictive model for falling in Parkinson disease patients
(Elsevier, 2016)
Background/aims: Falls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The aim of this study was to develop ...
Polygenic risk prediction and SNCA haplotype analysis in a Latino Parkinson's disease cohort
(Elsevier, 2022)
Background: Large-scale Parkinson's disease (PD) genome-wide association studies (GWAS) have, until recently, only been conducted on subjects with European-ancestry. Consequently, polygenic risk scores (PRS) constructed ...
Effect of genetic background on the stability of sunflower fatty acid composition in different high oleic mutations
(John Wiley & Sons Ltd, 2018-08)
The effect of genetic background on the stability of fatty acid composition in sunflower near isogenic lines (NILs) carrying high-oleic Pervenets (P) or high-oleic NM1 mutations was studied. The materials were field-tested ...
Predicting key educational outcomes in academic trajectories: a machine-learning approach
(Springer, 2020-03)
Predicting and understanding different key outcomes in a student's academic trajectory such as grade point average, academic retention, and degree completion would allow targeted intervention programs in higher education. ...
Footprints of antigen processing boost MHC class II natural ligand predictions
(Springer Nature, 2018-11)
BACKGROUND: Major histocompatibility complex class II (MHC-II) molecules present peptide fragments to T cells for immune recognition. Current predictors for peptide to MHC-II binding are trained on binding affinity data, ...
Predicting male fertility in dairy cattle using markers with large effect and functional annotation data
(BMC, 2019-04)
Background: Fertility is among the most important economic traits in dairy cattle. Genomic prediction for cow fertility has received much attention in the last decade, while bull fertility has been largely overlooked. The ...
Generation of inflationary perturbations in the continuous spontaneous localization model: The second order power spectrum
(American Physical Society, 2020-08)
Cosmic inflation, which describes an accelerated expansion of the early Universe, yields the most successful predictions regarding temperature anisotropies in the cosmic microwave background (CMB). Nevertheless, the precise ...
Benchmark datasets of immune receptor-epitope structural complexes
(BioMed Central, 2019-10)
Background: The development of accurate epitope prediction tools is important in facilitating disease diagnostics, treatment and vaccine development. The advent of new approaches making use of antibody and TCR sequence ...