Results 21 to 30 of about 1,963 (247)

Randomness Extraction Fails for Finite-State Dimension [PDF]

open access: yes
Finite-state dimension, introduced as a finite-state analogue of Hausdorff dimension, quantifies the lower asymptotic density of information in an infinite sequence as perceived by finite-state automata.
Pulari, Subin, S, Akhil
core   +1 more source

Practical computation with chemical reaction networks and algorithmic randomness [PDF]

open access: yes, 2023
Recent research in analog computing has relied heavily on the ability to create and initialize a chemical reaction network (CRN) precisely as specified. For example, Huang, Klinge, Lathrop, Li, and Lutz defined a notion of computing real numbers in real ...
Nye, Dawn
core  

zkQMC: Zero-Knowledge Proofs For (Some) Probabilistic Computations Using Quasi-Randomness [PDF]

open access: yes, 2022
We initiate research into efficiently embedding probabilistic computations in probabilistic proofs by introducing techniques for capturing Monte Carlo methods and Las Vegas algorithms in zero knowledge and exploring several potential applications of ...
Michael Dixon   +2 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

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

open access: yesFEBS 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   +6 more
wiley   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Algorithmic Improvisation [PDF]

open access: yes, 2019
The increasing use of autonomy for safety-critical tasks, from operating power grids to driving cars, has led to an acute need for reliable and secure systems.
Fremont, Daniel Juon
core   +1 more source

Random field Ising model in two dimensions: Bethe approximation, cluster variational method and message passing algorithms [PDF]

open access: yesJournal of Statistical Mechanics: Theory and Experiment, 2015
We study two free energy approximations (Bethe and plaquette-CVM) for the Random Field Ising Model in two dimensions. We compare results obtained by these two methods in single instances of the model on the square grid, showing the difficulties arising in defining a robust critical line.
Domínguez, Eduardo   +2 more
openaire   +2 more sources

Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]

open access: yes, 2012
Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
core   +1 more source

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