Results 101 to 110 of about 6,266,309 (293)

MELGYM: A dynamic control interface for MELCOR simulations

open access: yesSoftwareX
MELCOR is a computer code for the simulation and safety analysis of nuclear facilities, comprising several modules for the calculation of thermal–hydraulic phenomena and aerosol physics.
Antonio Manjavacas   +4 more
doaj   +1 more source

Experimental studies on engine test system based on virtual instrument technology

open access: yes浙江大学学报. 农业与生命科学版, 2003
Virtual Instrumentation (VI) is becoming a popular tool in measurement, test and automation as a result of rapid development of computer technology. In this paper, a engine test experimental system comprised of computer, DAQ Card PCI-6024E board, and ...
YE Sheng, HE Yong, XU Xiao-ming
doaj   +1 more source

Brain-Computer Interface

open access: yes, 2007
through measuring cerebral response to an interesting visual ...
Brain-computer Interface
core  

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

open access: yesFEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

Test of a cubic spline interface for physical processes with a 1-D third-order spectral element model

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2019
A common way to introduce physical processes into numerical models of the atmosphere is to call the parameterization at every grid point. This can lead to considerable errors.
J. Steppeler, J. Li, F. Fang, J. Zhu
doaj   +1 more source

Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology [PDF]

open access: yes, 2008
Background Brain-computer interface methodology based on self-regulation of slow-cortical potentials (SCPs) of the EEG (electroencephalogram) was used to assess conditional associative learning in one severely paralyzed, late-stage ALS patient.
Ghanayim, Nimr   +18 more
core   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task.

open access: yesArchives of Physical Medicine and Rehabilitation, 2015
OBJECTIVE To evaluate the impact of a hybrid control on usability of a P300-based brain-computer interface (BCI) system that was designed to control an assistive technology software and was integrated with an electromyographic channel for error ...
A. Riccio   +9 more
semanticscholar   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

open access: yesMolecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober   +16 more
wiley   +1 more source

Selection of an Optimal Feature Space for Separating Mental Tasks based on the EMD Algorithm

open access: yesمجله دانشکده پزشکی اصفهان, 2012
Background: Designing brain-computer interface (BCI) systems is one of the concerns of people today. These systems operate by brain signals and so far, much research has been done in this regard.
Vahid Abootalebi   +2 more
doaj  

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