Results 111 to 120 of about 9,957,911 (333)

On dimensional reduction of magical supergravity theories

Physics Letters B, 2016
We prove, by a direct dimensional reduction and an explicit construction of the group manifold, that the nonlinear sigma model of the dimensionally reduced three-dimensional A=R magical supergravity is F4(+4)/(USp(6)×SU(2)).
Naoto Kan, Shun'ya Mizoguchi
doaj   +1 more source

Structural and functional characterization of chitinase from carnivorous plant Drosera adelae

FEBS Open Bio, EarlyView.
A class I chitinase from the carnivorous plant Drosera adelae was expressed and purified using a yeast system, revealing high enzymatic activity. Structural analyses of the catalytic and chitin‐binding domains identified key tyrosine residues involved in substrate binding, offering insights into the enzyme's adaptation for insect digestion.
Kazunari Yoneda, Yuki Naruse, Yusaku Suizu, Tomohiro Araki, Yoshikazu Hoshi, Haruhiko Sakuraba, Junji Hayashi, Toshihisa Ohshima   +7 more
wiley   +1 more source

Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins

FEBS Open Bio, EarlyView.
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó, Eszter Nagy‐Kanta, Soma Varga, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán Gáspári   +7 more
wiley   +1 more source

Dimensionality reduction for similarity searching in dynamic databases [PDF]

, 1998
K. V. Ravi Kanth, Divyakant Agrawal, Ambuj K. Singh   +2 more
openalex   +1 more source

Electrical pulse stimulation reflecting the episodic nature of real‐life exercise modulates metabolic and secretory profile of primary human myotubes

FEBS Open Bio, EarlyView.
Here, we introduced an intermittent electrical stimulation protocol mimicking the episodic nature of real‐life exercise in vitro by alternating low‐ and high‐frequency stimulation. In comparison with widely used continuous stimulation, it enhanced the rate of glucose and fatty acid oxidation, but not the myokine release.
Klára Gabrišová, Tímea Kurdiová, Daria Barkova, Natália Pálešová, Jana Babulicová, Silvia Tyčiaková, Marta Novotová, Mária Balážová, Miroslav Sabo, Václav Pustka, Jozef Ukropec, Barbara Ukropcová   +11 more
wiley   +1 more source

Contrastive inverse regression for dimension reduction [PDF]

, 2023
Sam Hawke, Hengrui Luo, Didong Li
openalex   +1 more source

Editorial: Statistical methods for analyzing multiple environmental quantitative genomic data

Frontiers in Genetics, 2023
Zitong Li, Lucia Gutierrez
doaj   +1 more source

Towards Synthetic Augmentation of Training Datasets Generated by Mobility-on-Demand Service Using Deep Variational Autoencoders

Applied Sciences
The machine learning-based approaches for analysing the mobility needs of users are currently the most prevalent approach in the mobility-on-demand (MoD) analysis.
Martin Gregurić, Filip Vrbanić, Edouard Ivanjko   +2 more
doaj   +1 more source

Mitochondria‐associated membranes (MAMs): molecular organization, cellular functions, and their role in health and disease

FEBS Open Bio, EarlyView.
Mitochondria‐associated membranes (MAMs) are contact sites between the endoplasmic reticulum and mitochondria that regulate calcium signaling, lipid metabolism, autophagy, and stress responses. This review outlines their molecular organization, roles in cellular homeostasis, and how dysfunction drives neurodegeneration, metabolic disease, cancer, and ...
Viet Bui, Maryline Santerre, Natalia Shcherbik, Bassel E Sawaya   +3 more
wiley   +1 more source

Circuit Design in Biology and Machine Learning. II. Anomaly Detection

Entropy
Anomaly detection is a well-established field in machine learning, identifying observations that deviate from typical patterns. The principles of anomaly detection could enhance our understanding of how biological systems recognize and respond to ...
Steven A. Frank
doaj   +1 more source