Results 61 to 70 of about 974,940 (289)

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Fukui and dual-descriptor matrices in the basis-set representation: A spin-free approach

Chemical Physics Letters, 2012
Abstract This Letter deals with matrix extensions of the Fukui and dual-descriptor functions which are represented in a basis set by means of a spin-free treatment. A study of the eigenvalues of these matrices and of the values of the coefficients which express their eigenvectors provides important information concerning molecular reactivity ...
Alcoba, Diego Ricardo, Tiznado, William, Oña, Ofelia Beatriz, Torre, Alicia, Lain, Luis   +4 more
openaire   +4 more sources

Application of BI-RADS Descriptors in Contrast-Enhanced Dual-Energy Mammography: Comparison with MRI [PDF]

Breast Care, 2017
Background: Contrast-enhanced (CE) magnetic resonance imaging (MRI) BI-RADS descriptors are used in the evaluation of contrast-enhanced dual-energy mammography (CEDEM) images of mass lesions and are assumed to be applicable. Patients and Methods: Patients with suspicious mass lesions on mammography (BI-RADS 4 or 5) were included.
Thomas, Knogler, Peter, Homolka, Mathias, Hoernig, Robert, Leithner, Georg, Langs, Martin, Waitzbauer, Katja, Pinker, Sabine, Leitner, Thomas H, Helbich   +8 more
openaire   +2 more sources

Descriptor-Based Microkinetic Modeling and Catalyst Screening for CO Hydrogenation

, 2021
CO hydrogenation is one of the most important and complex chemical reactions with various product distributions in which the product formation mechanism is not well understood yet, and the design of active and selective catalysts toward the targeted ...
Yalan Wang, Ling Xiao, Yalan Wang (436178), Jia Yang (427274), Jia Yang, De Chen (119865), De Chen, Xiaoli Yang, Xiaoli Yang (314226), Wende Xiao (1511080), Ling Xiao (370630), Yi-An Zhu (1489387), Wende Xiao, Yi-An Zhu, Anders Holmen (1489393), Yanying Qi, Yanying Qi (1626313), Anders Holmen   +17 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Computation of Inner-Outer Factorizations of Rational Matrices [PDF]

, 1997
In this paper we propose a new numerically reliable computational approach to determine the inner-outer factorization of a rational transfer matrix G of a linear descriptor system.
A. Varga, Andras Varga, Varga, A.
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Machine learning-assisted dual-atom sites design with interpretable descriptors unifying electrocatalytic reactions

Nature Communications
Low-cost, efficient catalyst high-throughput screening is crucial for future renewable energy technology. Interpretable machine learning is a powerful method for accelerating catalyst design by extracting physical meaning but faces huge challenges.
Xiaoyun Lin, Xiaowei Du, Shican Wu, Shiyu Zhen, Wei Liu, Chunlei Pei, Peng Zhang, Zhi-Jian Zhao, Jinlong Gong   +8 more
doaj   +1 more source

Combining Statistical Features and Local Pattern Features for Texture Image Retrieval

IEEE Access, 2020
The complementary fusion of global and local features can effectively improve the performance of image retrieval. This article proposes a new local texture descriptor, combined with statistical modeling in transform domain for texture image retrieval ...
Hengbin Wang, Huaijing Qu, Jia Xu, Jiwei Wang, Yanan Wei, Zhisheng Zhang   +5 more
doaj   +1 more source

Classifying measures of biological variation. [PDF]

PLoS ONE, 2015
Biological variation is commonly measured at two basic levels: variation within individual communities, and the distribution of variation over communities or within a metacommunity.
Hans-Rolf Gregorius, Elizabeth M Gillet
doaj   +1 more source