Results 51 to 60 of about 5,705 (256)
Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Operations research in consumer finance: challenges for operational research [PDF]
Consumer finance has become one of the most important areas of banking both because of the amount of money being lent and the impact of such credit on the global economy and the realisation that the credit crunch of 2008 was partly due to incorrect ...
Thomas, L.C.
core
Evidence from developing countries [PDF]
We propose an oligopsony-oligopoly model to study bank behavior under uncertainty in developing countries and derive a pricing structure that acknowledges joint market power in both the deposit and loan markets.
Turk-Ariss, Rima, Marrouch, Walid
core +1 more source
Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng +4 more
wiley +1 more source
Identification of relevant predictors of loan default using the Elastic Net model [PDF]
The timely prediction of loan default plays an important role in lending decisions and monitoring loans. However, there has been little development of models for the selection of relevant variables for the prediction of loan default.
Yi, Jessica Moonhee
core
This study proposes a Privacy-Preserving Deep Neural Network for Credit Risk Prediction (PPDNN-CRP) framework that leverages homomorphic encryption (HE) to ensure data privacy throughout the credit risk prediction process. The PPDNN-CRP framework employs
Vankamamidi S. Naresh, Ayyappa D
doaj +1 more source
Estimating the Probability of Loan Default in Melli Bank: A Comparative Study of Machine Learning and Econometric Approaches [PDF]
The current study employed a comparative analytical framework to examine credit-default prediction. It relied on a comprehensive dataset of 56,965 loan contracts issued between 2019 and 2024 across the northern branches of Bank Melli Iran. Three modeling
Reza Taleblou +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A series of Eu3+, Tb3+, Tm3+ and La3+ formate‐based (mixed)metal‐organic frameworks were synthesized and investigated for energy transfer and white‐light emission. Efficient Tb3+→Eu3+ transfer enabled tuneable luminescence, while Tm3+ incorporation afforded near‐white emission.
Leonardo E. Cruz‐Estrada +5 more
wiley +1 more source
A Jurisprudential Analysis of Initial Public Offerings through Special Purpose Acquisition Companies (SPACs) in Iran's Capital Market [PDF]
1. Introduction and ObjectiveIn recent years, Special Purpose Acquisition Companies (SPACs) have become one of the most innovative financial mechanisms for facilitating the public listing of private companies.
Ali Amirshahi +2 more
doaj +1 more source

