Results 111 to 120 of about 77,307 (222)
Efficient numerical methods for Volterra integral equations of Hammerstein type
Volterra integral equations (VIEs) are the mathematical model of many evolutionary problems with memory arising from biology, chemistry, physics, engineering.
Del Prete, Ida
core
IMF Conditionality on Corruption: The Politics of Good Governance
ABSTRACT We offer a systematic analysis of IMF loan conditionality on corruption and argue that the Fund's pursuit of anti‐corruption measures is tempered by two political costs. First, because corruption is politically sensitive, the IMF risks destabilizing recipient governments and provoking crises.
Merih Angin +3 more
wiley +1 more source
Perceptual Priors Update Contextual Feedback Processing in V1
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova +3 more
wiley +1 more source
Myths and methodologies: Exposure and measurements under normobaric hypoxia
Abstract Usually, settings of normobaric hypoxia underestimate the environmental hypoxia they are supposed to reproduce. The likely steady state of water vapour pressure within the human airways keeps the partial pressure of inspired oxygen very close to the assumed value, but this does not apply to the calculation of environmental hypoxia or ...
Danilo Bondi
wiley +1 more source
Abstract figure legend In this study, we use human‐induced pluripotent stem cell‐derived cardiomyocyte (hiPSC‐CM) experiments and computational modelling to identify the mechanism of action of drug compounds. In the hiPSC‐CM experiments, optical measurements of cell collections are recorded in the baseline case and after drug exposure.
Karoline Horgmo Jæger +4 more
wiley +1 more source
Ventilatory efficiency: Physiological modelling and mechanistic validation
Abstract figure legend From post‐threshold ventilatory linearization to ceiling‐normalized efficiency – conceptual framework underlying ηV̇E$\eta {{\dot{V}}_{\mathrm{E}}}$ Conventional V̇E${{\dot{V}}_{\mathrm{E}}}$–V̇CO2${{\dot{V}}_{{\mathrm{C}}{{{\mathrm{O}}}_2}}}$ slopes are typically derived under submaximal conditions and may become physiologically
Paulo T Muller +5 more
wiley +1 more source
Reliable Computational Predictions by Modeling Uncertainties Using Arbitrary Polynomial Chaos
Inherent physical uncertainties can have a significant influence on computational predictions. It is therefore important to take physical uncertainties into account to obtain more reliable computational predictions.
Bijl, H. +3 more
core
Abstract figure legend Schematic illustrating the in silico study pipeline. A total of 50,000 virtual myocytes were generated, which were then filtered to 7093 myocytes that fit experimentally constrained biomarkers for physiological electrical and calcium behaviour under wild‐type conditions.
Katherine Flannery +3 more
wiley +1 more source
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman +4 more
wiley +1 more source
Numerical Methods for Reacting Gas Flow Simulations
In this study various numerical schemes for simulating 2D laminar reacting gas flows, as typically found in Chemical Vapor Deposition (CVD) reactors, are proposed and compared.
Vuik, K. (author) +5 more
core

