Results 111 to 120 of about 447,541 (315)
Homomorphic images of linear sequential machines
Journal of Computer and System Sciences, 1967 AbstractIn this paper we investigate homomorphisms on the state behavior of linear machines and characterize their homomorphic images. These results are then applied to characterize those nonlinear machines which can be realized by larger linear machines.
Juris Hartmanis, Wayne A. Davis
openaire +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Improved machine learning-aided linear cryptanalysis: application to DES
CybersecurityIn CRYPTO 2019, Gohr built a bridge between machine learning and differential cryptanalysis, which show that machine learning-aided methods have advantages over classical differential cryptanalysis.
Zezhou Hou +2 more
doaj +1 more source
AIP Advances, 2017 A single-phase axially-magnetized permanent-magnet (PM) oscillating machine which can be integrated with a free-piston Stirling engine to generate electric power, is investigated for miniature aerospace power sources.
Yi Sui +4 more
doaj +1 more source
Comparison of linear and non-linear machine learning models for time-dependent readmission or mortality prediction among hospitalized heart failure patients. [PDF]
Heliyon, 2023 Tong R, Zhu Z, Ling J.
europepmc +1 more source
PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines
FEBS Open Bio, EarlyView.Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart +7 more
wiley +1 more source
Inverse Linear Regression in Machine Learning
, 2017 A linear regression machine learning model derives the linear relationship between single or multiple features (put in the x-axis of a co-ordinate plane) and a single response (put in the y-axis of the co-ordinate plane) for a given set of observations ...
Subhradeep Biswas
core
The Next Linear Collider Machine Protection System [PDF]
, 1999 The Next Linear Collider (NLC) electron and positron beams are capable of damaging the linac accelerating structure and beamline vacuum chambers during an individual aberrant accelerator pulse.
Ross, Marc
core +1 more source
Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. [PDF]
Commun Biol, 2022 Elgart M +22 more
europepmc +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source