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Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models

International Journal of Geographical Information Science, 2023
Human mobility data play a crucial role in many fields such as infectious diseases, transportation, and public safety. Although the development of Information and Communication Technologies (ICTs) has made it easy to collect individual-level positioning ...
Kang Liu   +5 more
semanticscholar   +1 more source

Mechanistic Model of Gravitation

Lobachevskii Journal of Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Belov, P. A., Lurie, S. A.
openaire   +1 more source

Insight into Polyethylene and Polypropylene Pyrolysis: Global and Mechanistic Models

Energy & Fuels, 2021
Pyrolysis of polyolefins has been proposed as a potential resource recovery strategy by converting macromolecules into valuable fuels and chemicals.
Rebecca E. Harmon   +3 more
semanticscholar   +1 more source

Discrimination among Mechanistic Models

Technometrics, 1967
This paper is concerned with research, the object of which is to discover the mechanism for a particular phenomenon leading to a specific mathematical model. Such investigations are distinguished from those in which the object is merely to estimate the output y of a process over a range of values of the input ∊1, ∊2, …, ∊ k .
G. E.P. Box, W. J. Hill
openaire   +1 more source

Mechanistic Models for Myelosuppression

Investigational New Drugs, 2003
As myelosuppression is the dose-limiting toxicity for most chemotherapeutic drugs, modelers attempt to find relationships between drug and toxicity to optimize treatment. Mechanistic models, i.e. models based on physiology and pharmacology, are preferable over empirical models, as prior information can be utilized and as they generally are more ...
Lena E, Friberg, Mats O, Karlsson
openaire   +2 more sources

Mechanistic biological modeling thrives

Science, 2016
In their Perspective “Systems biology (un)certainties” (23 October 2015, p. [386][1]), P. D. W. Kirk et al. may give readers the impression that mathematical modeling and computer simulations of biological systems have fallen on hard times, owing to difficulties in measuring parameter values.
Ben, O'Shaughnessy, Thomas D, Pollard
openaire   +2 more sources

Mechanistic Modeling of Carbonated Waterflooding

SPE Improved Oil Recovery Conference, 2018
AbstractCO2 enhanced oil recovery is usually affected by poor sweep efficiency due to unfavorable mobility contrast between the injected CO2 and oil. To alleviate this problem, CO2 is added to the injected brine and transported in the reservoir by flood water.
Alireza Sanaei   +2 more
openaire   +1 more source

Choosing among correlative, mechanistic and hybrid models of species' niche and distribution.

Integrative Zoology, 2021
Different models are available to estimate species' niche and distribution. Mechanistic and correlative models have different underlying conceptual bases, thus generating different estimates of a species' niche and geographic extent. Hybrid models, which
Luara Tourinho, M. M. Vale
semanticscholar   +1 more source

A mechanistic model for butyrylcholinesterase

Biochimica et Biophysica Acta (BBA) - Enzymology, 1979
A plausible mechanism of action of horse serum butyrylcholinesterase is proposed. It includes substrate activation at the level of deacylation. The rate constant for the acylation of the enzyme appears to be much greater than the rate constant for the deacylation, at low substate concentrations.
H, Eriksson, K B, Augustinsson
openaire   +2 more sources

A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

arXiv.org
Mechanistic interpretability (MI) is an emerging sub-field of interpretability that seeks to understand a neural network model by reverse-engineering its internal computations.
Daking Rai   +4 more
semanticscholar   +1 more source

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