Results 161 to 170 of about 20,745 (303)
Testing Parallel Random Number Generators
. A parallel random number generator (PRNG) must be tested for two types of correlations -- (i) Intra-stream correlation, as for any serial generator, and (ii) Inter-stream correlation for correlations between random number streams on different processes.
Michael Mascagni, Ashok Srinivasan
core
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source
An Analysis of Deterministic Chaos as an Entropy Source for Random Number Generators. [PDF]
Demir K, Ergün S.
europepmc +1 more source
Evaluating Parallel Random Number Generators
Parallel random number generators are studied and tested on a variety of parallel computers. The performance of each random number generator is evaluated using parallel Monte Carlo simulations.
William Mahoney, Paul D. Coddington
core
Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells
To mimic the elevated intestinal fluid pressure in breast cancers, we loaded human breast cancer cells (MCF‐7, MDA‐MB‐453, and BT‐474) to 50 mmHg hydrostatic pressure. Hydrostatic pressure exposure upregulated HIF‐1α and induced stemness in MCF‐7 and BT‐474 cells.
Da Zhai +8 more
wiley +1 more source
Uniform Random Number Generators for Supercomputers
We consider the requirements for uniform pseudo-random number generators on modern vector and parallel supercomputers, consider the pros and cons of various classes of methods, and outline what is currently available.
Richard P. Brent
core
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Text cryptography and steganography based on RNA sequences generation, true random number generators, and codebook method. [PDF]
Hamad S, Rashid OF, Al-Dabbas HM.
europepmc +1 more source
Heartbeats Do Not Make Good Pseudo-Random Number Generators: An Analysis of the Randomness of Inter-Pulse Intervals. [PDF]
Ortiz-Martin L +3 more
europepmc +1 more source

