Results 81 to 90 of about 13,838,869 (315)
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source
Continuous Time Matrix Programming
Duality and saddlepoint conditions are considered for the following pair of problems: \[ \max\int^ T_ 0 A(t)X(t)dt\qquad\text{subject to}\tag{P} \] \[ B(t)X(t)\leq C(t)+\int^ t_ 0 K(t,s)X(t)ds\quad\text{a.e. in }[0,T],\quad X(t)\geq 0\quad\text{a.e.
Singh, C., Kiran, M.
openaire +1 more source
Continuous-time mean-variance portfolios: a comparison
In this article, we present and compare three mean-variance optimal portfolio approaches in a continuous-time market setting. These methods are the L-2-projection as presented in Schweizer [M.
Alp, Ozge Sezgin, Korn, Ralf
core +1 more source
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Neural Networks and Continuous Time
16 pages, 10 figures.
Frieder Stolzenburg, Florian Ruh
openaire +2 more sources
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Continuous-Time Multivariate Analysis
The starting point for much of multivariate analysis (MVA) is an n × p data matrix whose n rows represent observations and whose p columns represent variables. Some multivariate datasets, however, may be best conceptualized not as n discrete p-variate observations, but as p curves or functions defined on a common time interval.
Biplab Paul +3 more
openaire +2 more sources
A Survey on Continuous Time Computations [PDF]
We provide an overview of theories of continuous time computation. These theories allow us to understand both the hardness of questions related to continuous time dynamical systems and the computational power of continuous time analog models. We survey the existing models, summarizing results, and point to relevant references in the literature.
Bournez, Olivier, Campagnolo, Manuel L.
openaire +3 more sources
Rex Bergstrom's contributions to continuous time macroeconometric modelling
This paper reviews the contributions of Rex Bergstrom to the development of continuous time dynamic disequilibrium macroeconomic modeling since the early 1960s.
Nowman, K.B.
core +1 more source
Generalized continuous-time random walks, subordination by hitting times, and fractional dynamics [PDF]
Functional limit theorems for continuous-time random walks (CTRW) are found in the general case of dependent waiting times and jump sizes that are also position dependent.
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core +1 more source

