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[PLSR model based on near-infrared spectroscopy for the detection of wood fiber anatomy of ].
Ying Yong Sheng Tai Xue Bao
October 2024
Research Institute of Subtropical Forestry, Chinese Academy of Forestry/Zhejiang Key Laboratory of Forest Genetics and Bree-ding, Hangzhou 311400, China.
To rapidly acquire fiber phenotypic data for wood quality assessment, we used a portable NIR spectro-meter to collect spectral data in 100 individuals of at 18-year-old of 20 different provenances, and simultaneously collected wood cores. Wood basic density and the anatomical structure of wood fiber were measured. The standard normal variate (SNV), orthogonal signal correction (OSC), and multiplicative scatter correction (MSC) methods were used for spectral preprocessing, the competitive adaptive reweighted sampling (CARS) method were used for wavelength selection, and the partial least squares regression (PLSR) model were established.
View Article and Find Full Text PDFAldolase B Deficient Mice Are Characterized by Hepatic Nucleotide Sugar Abnormalities.
J Inherit Metab Dis
January 2025
Department of Internal Medicine, Division of Endocrinology and Metabolic Disease, Maastricht University Medical Center+, Maastricht, The Netherlands.
Hereditary fructose intolerance (HFI) is characterized by liver damage and a secondary defect in N-linked glycosylation due to impairment of mannose phosphate isomerase (MPI). Mannose treatment has been shown to be an effective treatment in a primary defect in MPI (i.e.
View Article and Find Full Text PDFHow to Compute Density Fluctuations at the Nanoscale.
J Chem Theory Comput
December 2024
Materials Science Department, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan.
The standard definition of particle number fluctuations based on point-like particles neglects the excluded volume effect. This leads to a large and systematic finite-size scaling and an unphysical surface term in the isothermal compressibility. We correct these errors by introducing a modified pair distribution function that takes account of the finite size of the particles.
View Article and Find Full Text PDFPrediction of Central Post-Stroke Pain by Quantitative Sensory Testing.
Ann Neurol
December 2024
Department of Neurology, Jewish Hospital Berlin, Berlin, Germany.
Objective: Among patients with acute stroke, we aimed to identify those who will later develop central post-stroke pain (CPSP) versus those who will not (non-pain sensory stroke [NPSS]) by assessing potential differences in somatosensory profile patterns and evaluating their potential as predictors of CPSP.
Methods: In a prospective longitudinal study on 75 acute stroke patients with somatosensory symptoms, we performed quantitative somatosensory testing (QST) in the acute/subacute phase (within 10 days) and on follow-up visits for 12 months. Based on previous QST studies, we hypothesized that QST values of cold detection threshold (CDT) and dynamic mechanical allodynia (DMA) would differ between CPSP and NPSS patients before the onset of pain.
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