Results 61 to 70 of about 13,329 (248)

Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network

Frontiers in Neuroscience, 2020
Electroencephalogram (EEG) signals contain valuable information about the different physiological states of the brain, with a variety of linear and nonlinear features that can be used to investigate brain activity. Monitoring the depth of anesthesia (DoA)
Ronglin Li, Qiang Wu, Qiang Wu, Ju Liu, Ju Liu, Qi Wu, Chao Li, Qibin Zhao, Qibin Zhao   +8 more
doaj   +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

Single Feature Extraction Method of Bearing Fault Signals Based on Slope Entropy

Shock and Vibration, 2022
As an entropy representing the complexity of sequence, slope entropy (SloE) is applied to feature extraction of bearing signal for the first time. With the advantage of slope entropy in feature extraction, the effectiveness of bearing fault signal ...
Erna Shi
doaj   +1 more source

Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis

FEBS Letters, EarlyView.
This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng, Shen‐Shin Chang, Feng‐Wei Chen, Ying‐Chieh Su, Thanh Phuong Nguyen, Yu‐Wei Hsiao, Jhih‐Ying Chi, Hsin‐Yin Liang, Ju‐Ming Wang   +8 more
wiley   +1 more source

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

FEBS Letters, EarlyView.
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley   +1 more source

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

FEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana, Xiaowei Bogetti, Stuti Sharma, Ivet Bahar   +3 more
wiley   +1 more source

Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy

Entropy, 2019
Aimed at distinguishing different fault categories of severity of rolling bearings, a novel method based on feature space reconstruction and multiscale permutation entropy is proposed in the study.
Weibo Zhang, Jianzhong Zhou
doaj   +1 more source

Comparing the paths of Hedgehog release in artificial and natural settings

FEBS Letters, EarlyView.
Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley   +1 more source

Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy

Entropy, 2019
Biomedical signals are measurable time series that describe a physiological state of a biological system. Entropy algorithms have been previously used to quantify the complexity of biomedical signals, but there is a need to understand the relationship of
Lampros Chrysovalantis Amarantidis, Daniel Abásolo   +1 more
doaj   +1 more source