Results 71 to 80 of about 6,555,116 (242)

Development of modular machine tool structural monitoring system [PDF]

Although designed to be structurally stiff, machine tool deformation takes place due to the various sources of errors such as shifting mass, component weight, temperature etc.
Longstaff, Andrew P., Fletcher, Simon, Potdar, Akshay, Abdulshahed, Ali   +3 more
core   +3 more sources

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source

brain-machine-intelligence/fMRI_dimensionality: 1.0.0

, 2021
No description ...
brain-machine-intelligence
core   +1 more source

Machine learning-based personalized training models for optimizing marathon performance through pyramidal and polarized training intensity distributions

Scientific Reports
Training intensity distribution significantly influences marathon performance, yet individual variability in training responses remains poorly understood.
Gang Qin, Seongno Lee, Sungmin Kim
doaj   +1 more source

Unsupervised machine learning approach for tailoring educational content to individual student weaknesses

High-Confidence Computing
By analyzing data gathered through Online Learning (OL) systems, data mining can be used to unearth hidden relationships between topics and trends in student performance.
Shabab Intishar Rahman, Shadman Ahmed, Tasnim Akter Fariha, Ammar Mohammad, Muhammad Nayeem Mubasshirul Haque, Sriram Chellappan, Jannatun Noor   +6 more
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 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

Development of Scheduling System Considering Statistical Distributions of Processing Times for Human Operators

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
A new scheduling method is proposed, in this paper, to consider the statistical distributions of the processing times which are represented by normal distributions for the manufacturing systems where the human operators carry out the machining operations
Koji IWAMURA, Takuya YOSHIOKA, Yoshitaka TANIMIZU, Nobuhiro SUGIMURA   +3 more
doaj   +1 more source