Results 131 to 140 of about 30,005 (294)
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Reducing Rare-Earth Magnet Reliance in Modern Traction Electric Machines
Currently, electric machines predominantly rely on costly rare-earth NdFeB magnets, which pose both economic and environmental challenges due to rising demand.
Oliver Mitchell Lee +1 more
doaj +1 more source
Advanced nonlinear modelling techniques for switched reluctance machines [PDF]
This paper gives an overview of different modelling techniques to describe the nonlinear behaviour of both saturated switched reluctance machine (SRM) and power electronic converter.
Belmans, Ronnie +3 more
core
New Entrants and Contract Redaction
ABSTRACT Using the US Census data to capture new entrants, we find that incumbents are more likely to redact proprietary information embedded in material contracts when a greater number of new firms establish their businesses in the focal firm's industry.
Gary Chen, Xiaoli Tian, Miaomiao Yu
wiley +1 more source
Innovation Diffusion Among Case‐Based Decision‐Makers
ABSTRACT This paper analyzes a model of innovation diffusion with case‐based individuals a la Gilboa and Schmeidler, who decide whether to consume an incumbent or a new product based on their and their social neighbors' previous consumption experiences. I analyze how diffusion patterns change with individual characteristics, innovation characteristics,
Benson Tsz Kin Leung
wiley +1 more source
Mutual fund director compensation
Abstract We examine director compensation using a large sample of hand‐compiled U.S. mutual fund data. We find that director compensation is positively correlated with observable productive characteristics—workload, experience, and demographics—that capture the benefits from the directors’ monitoring effort.
John Adams +2 more
wiley +1 more source
Switched Reluctance Machine Modeling through Multilayer Neural Networks
The work deals with the application of artificial neural networks (ANNs) in the modeling of switched reluctance machines (SRMs). The performance of a SRM is determined by its geometry, materials used and levels of excitation. In this way, this work investigates the influence of the stator and rotor back iron thickness in the performance of SRM.
A C F Mamede, J R Camacho, R E Araújo
openaire +1 more source
The Effects of Regulatory Office Closures on Bank Behavior
Abstract We investigate if the decentralized structure of regulatory office networks influences supervisory outcomes and bank behavior. Following the closure of an office, banks previously supervised by that office increase their lending and risk‐taking.
IVAN LIM, JENS HAGENDORFF, SETH ARMITAGE
wiley +1 more source
FinTech Lending and Cashless Payments
ABSTRACT Borrowers' use of cashless payments improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment usage complements other signals of borrower quality.
PULAK GHOSH, BORIS VALLEE, YAO ZENG
wiley +1 more source
Old Skool Spinning and Syncing: Memory, Technologies, and Occupational Membership in a DJ Community
Abstract We show how technology and its temporal instantiations act as material‐relational mnemonic devices that provide temporal anchors for collective remembering in occupations and form the basis of what we call an 'occupational mnemonic community'.
Hamid Foroughi +2 more
wiley +1 more source

