scispace - formally typeset
L

Leonid V. Kalachev

Researcher at University of Montana

Publications -  60
Citations -  960

Leonid V. Kalachev is an academic researcher from University of Montana. The author has contributed to research in topics: Method of matched asymptotic expansions & Nonlinear system. The author has an hindex of 12, co-authored 56 publications receiving 878 citations. Previous affiliations of Leonid V. Kalachev include University of Washington & University of Helsinki.

Papers
More filters
MonographDOI

The Boundary Function Method for Singular Perturbation Problems

TL;DR: In this article, the boundary function method has been applied in the theory of semiconductor devices, and a mathematical model of combustion process in the case of autocatalytic reaction has been proposed.
Journal ArticleDOI

A new mathematical model for the homeostatic effects of sleep loss on neurobehavioral performance

TL;DR: The two-process model of sleep regulation belongs to a broader class of models formulated in terms of coupled non-homogeneous first-order ordinary differential equations, which have a dynamic repertoire capturing waking neurobehavioral functions across a wide range of wake/sleep schedules, and is suggested that the adenosinergic neuromodulator/receptor system may provide the underlying neurobiology.
Journal ArticleDOI

Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance.

TL;DR: The updated model predicts that the homeostatic equilibrium for sleep/wake regulation--and thus sensitivity to sleep loss--depends not only on the duration but also on the circadian timing of prior sleep, which has important implications for predicting operator alertness during work schedules involving circadian misalignment such as night shift work.
Journal ArticleDOI

Numerical Simulation of Local Pharmacokinetics of a Drug after Intravascular Delivery with an Eluting Stent

TL;DR: Findings justify the design of eluting stents with continuous coatings with enhanced diffusional resistance and the engineering of drugs with enhanced affinity to the vascular matrix for avoiding potential toxic peak effects of high concentrations of the free (unbound) drug.
Journal ArticleDOI

Reduced models of algae growth.

TL;DR: Here, in the case of algae growth modeling, it is shown how a systematic model reduction can be done and the simplified model is analyzed from both theoretical and statistical points of view.