Results 111 to 120 of about 698,300 (306)
Dynamics for the mean-field random-cluster model
, 2014 The random-cluster model is a unifying framework for studying random graphs, spin systems in physics and random spanning trees. The model is closely related to, though much more general than the classical Ising and Potts models, but its dynamics are much less well understood.
Blanca, Antonio, Sinclair, Alistair
openaire +4 more sources
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
FEBS Open Bio, EarlyView.Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Strong Markov Random Field Model [PDF]
, 2003 The strong Markov random field (strong-MRF) model is a sub-model of the more general MRFGibbs model. The strong-MRF model defines a system whose field is Markovian with respect to a defined neighborhood and all sub-neighborhoods are also Markovian.
Rupert Paget
core
Multicritical Points in an Ising Random-Field Model [PDF]
, 1986 The phase diagram of the mean-field Ising model in a random field obeying a symmetric three-peak distribution is determined. This distribution is relevant to diluted antiferromagnets in a uniform magnetic field.
Kaufman, Miron +2 more
core +2 more sources
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.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
Random field Ising model on networks with inhomogeneous connections [PDF]
, 2006 We study a zero-temperature phase transition in the random field Ising model on scale-free networks with the degree exponent γ. Using an analytic mean-field theory, we find that the spins are always in the ordered phase for γ<3. On the other hand, the
Jeong, Hawoong +6 more
core +2 more sources
Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells
FEBS Open Bio, EarlyView.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
A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data. [PDF]
Brief Bioinform, 2022 Zhu B +4 more
europepmc +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.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