Results 91 to 100 of about 16,157 (304)

A Soft Error Self-Resilience Radiation-Hardened 14T SRAM for Aerospace Applications

IEEE Access
Various charged particles in space threaten memory circuit integrity and dependability, including photons, alpha particles, and high-energy ions outside the Low Earth Orbit region.
Guguloth Anjaneyulu, Asisa Kumar Panigrahy, Mukku Pavan Kumar, Shams Ul Haq, Abdolreza Darabi, Erfan Abbasian, Priyanka Sharma, M. Durga Prakash   +7 more
doaj   +1 more source

α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates

FEBS Letters, EarlyView.
Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino, Giuliana Fusco, Alfonso De Simone   +2 more
wiley   +1 more source

Study on Single Event Upset and Mitigation Technique in JLTFET-Based 6T SRAM Cell

Journal of Electrical and Computer Engineering
The effect of single event transient (SET) on 6T SRAM cell employing a 20 nm silicon-based junctionless tunneling field effect transistor (JLTFET) is explored for the first time. JLTFET-based SRAM circuit is designed using the look up table-based Verilog
Aishwarya K, Lakshmi B
doaj   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

FEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Towards a single event upset detector based on COTS FPGA

, 2017
The Single Event Upset Detector (SEUD) is 3U CubeSat payload experiment that aims to achieve radiation tolerant computing through detection and correction of SEU bit flips on COTS SRAM FPGAs.
Ngo, Kalle,, Tage Mohammadat, Öberg, Johnny,, Mohammadat, Tage,, Johnny Oberg, Kalle Ngo   +5 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

A Stimulus-free Probabilistic Model for Single-Event-Upset Sensitivity

, 2008
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a growing concern in logic circuits. Accurate understanding and estimation of

core  

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

Single-Event Upset Technology Scaling Trends of Unhardened and Hardened Flip-Flops in Bulk CMOS

, 2017
Alpha, heavy-ion, neutron, and proton experimental results from 130-nm to 28-nm technology nodes are establish single-event upset cross section trends in soft and hardened flip-flop designs.
Gaspard, Nelson Joseph III
core  

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source