Results 51 to 60 of about 869,043 (286)
Exact computation of the Maximum Entropy Potential of spiking neural networks models [PDF]
, 2014 Understanding how stimuli and synaptic connectivity in uence the statistics of spike patterns in neural networks is a central question in computational neuroscience.
Cessac, Bruno, Cofre, Rodrigo
core +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Frontiers in Immunology, 2019 Following the approval, in recent years, of the first immune checkpoint inhibitor, there has been an explosion in the development of immuno-modulating pharmacological modalities for the treatment of various cancers. From the discovery phase to late-stage
Kirill Peskov +6 more
doaj +1 more source
Consistencies and contradictions in different polymer models of chromatin architecture
Computational and Structural Biotechnology Journal, 2023 Genetic information is stored in very long DNA molecules, which are folded to form chromatin, a similarly long polymer fibre that is ultimately organised into chromosomes.
Amanda Souza Câmara, Martin Mascher
doaj +1 more source
How could a rational analysis model explain? [PDF]
, 2017 Rational analysis is an influential but contested account of how probabilistic modeling can be used to construct non-mechanistic but self-standing explanatory models of the mind.
Reijula, Samuli
core +1 more source
Data-based mechanistic modelling, forecasting, and control. [PDF]
, 2001 This article briefly reviews the main aspects of the generic data based mechanistic (DBM) approach to modeling stochastic dynamic systems and shown how it is being applied to the analysis, forecasting, and control of environmental and agricultural ...
Chotai, Arun, Young, Peter C.
core +1 more source
Mechanistic Modeling of Architectural Vulnerability Factor [PDF]
ACM Transactions on Computer Systems, 2015 Reliability to soft errors is a significant design challenge in modern microprocessors owing to an exponential increase in the number of transistors on chip and the reduction in operating voltages with each process generation. Architectural Vulnerability Factor (AVF) modeling using microarchitectural simulators enables architects to make informed ...
Arun Arvind Nair +4 more
openaire +2 more sources
The challenges of purely mechanistic models in biology and the minimum need for a 'mechanism-plus-X' framework [PDF]
, 2018 Ever since the advent of molecular biology in the 1970s, mechanical models have become the dogma in the field, where a "true" understanding of any subject is equated to a mechanistic description. This has been to the detriment of the biomedical sciences,
Ehsani, Sepehr
core +1 more source
Mechanistic Levels, Reduction, and Emergence [PDF]
, 2017 We sketch the mechanistic approach to levels, contrast it with other senses of “level,” and explore some of its metaphysical implications. This perspective allows us to articulate what it means for things to be at different levels, to distinguish ...
Craver, Carl F., Povich, Mark
core +1 more source
Mechanistic modeling of viral particle production
Biotechnology and Bioengineering, 2022 AbstractViral systems such as wild‐type viruses, viral vectors, and virus‐like particles are essential components of modern biotechnology and medicine. Despite their importance, the commercial‐scale production of viral systems remains highly inefficient for multiple reasons.
Christopher T. Canova +2 more
openaire +2 more sources