Results 31 to 40 of about 1,493 (129)
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
We developed an ultrasensitive and highly selective biosensor by integrating bio‐functionalized reduced graphene oxide (rGO) electrolyte‐gated transistors (EGTs) and machine learning (ML) to detect miRNAs (miR‐34a, miR‐34b, and miR‐34c) associated with cancer and neurological disorders.
Ana Vitória Ferreira Deleigo +7 more
wiley +1 more source
This study demonstrates tunable photovoltaic responses in pure, polycrystalline BiFeO3 thin films, controlled by external electric and magnetic fields. By aligning ferroelectric domains and leveraging magnetoelectric coupling, the photogeneration is amplified up to seven times.
Luciano Cardoso Dias +14 more
wiley +1 more source
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
ABSTRACT The propagation characteristics of partial discharge (PD) in cables impact PD detection sensitivity, defect localisation accuracy and defect severity evaluation. Currently, the effects of semiconducting materials' frequency‐dependent properties and corrugated aluminium sheath structures on PD signal propagation in high‐voltage (HV) cables ...
Weisheng He +6 more
wiley +1 more source
pyDiSCaMB: enabling the use of multipolar scattering factors in Phenix
pyDiSCaMB provides an interface between cctbx and DiSCaMB. The former drives Phenix and the latter provides multipolar parameterization of scattering, thus enabling multipolar modelling in Phenix.Multipolar scattering models, such as the transferable aspherical atom model, account for atomic chemical interactions and provide a more accurate ...
Viljar J. Femoen +12 more
wiley +1 more source
Quantitative analysis of facet growth during directional solidification of salol
This study offers a comprehensive analysis of facet growth during directional solidification of salol, focusing on the dynamic evolution of the solid–liquid interface. A novel strategy was developed to identify the crystallographic nature of the observed facets, whose growth is mainly governed by two‐dimensional nucleation, with deviations attributed ...
Anassya Raad +3 more
wiley +1 more source
Abstract Purpose Acquired brain injury (ABI) may cause homonymous visual field (VF) defects. Standard automated perimetry (SAP) is the gold standard for VF assessment, but it can be challenging in ABI. Continuous visual stimulus tracking (SONDA; Standardised Oculomotor and Neurological Disorders Assessment) simplifies the perimetric task to following a
A. C. L. Vrijling +6 more
wiley +1 more source
Multimodal integration of sex‐ and age‐related immune‐gene signatures with baseline tumor burden (TMTV1) improves prediction of treatment response in adolescents and young adults with classical Hodgkin lymphoma. Summary The study investigates how sex and age influence treatment response in paediatric, adolescent and young adult (AYA) classical Hodgkin ...
Valli De Re +54 more
wiley +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source

