Results 61 to 70 of about 160,871 (306)

Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita, Lucas R. L. Norg, Patrick Diederen, Clint van Hoesel, Christ H. L. Weijtens, Peter A. Bobbert, Reinder Coehoorn   +6 more
wiley   +1 more source

Modeling Banks’ Probability of Default

Applied Economics and Finance, 2015
The unprecedented financial crisis of 2008-2009 has called attention to limitations of existing methods for estimating the default risk of financial intuitions. Over the past decade, we have had considerable success at predicting default and credit relative value using Merton-type structural models and Hybrid Probability of Default models.
openaire   +3 more sources

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Identification of Indicators’ Applicability to Settle Borrowers’ Probability of Default

Economics and Culture, 2016
Borrowers default risk is one of the most relevant types of risk in commercial banking and its assessment is important to secure business profitability and avoid huge losses during economic turbulences.
Jurevičienė Daiva, Rauličkis Darius
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Effect of Probability of Default and Financial Performance of Commercial Banks in Kenya

Journal of Business and Social Review in Emerging Economies
Purpose: Specific objectives are to establish the effect of effect of probability of default and financial performance of Commercial Banks in Kenya. The theoretical framework was based on asymmetric information.
Nyanumba Nyaundi Joel, Charles Yugi. Tibbs, Wycliffe Maingi Muli   +2 more
doaj   +1 more source

Determination of Default Probability by Loss Given Default

Procedia Economics and Finance, 2015
Abstract Determination of credit losses can be provided by banks through the use of an analysis of the actual loan defaults. The quantification of expected losses should be based on an analysis of multiple variables, cause the determination process might be problematic, but it is significant for institutions such as banks but also for others.
Misankova, Maria, Spuchľakova, Erika, Michalikova, Katarina Frajtova –   +2 more
openaire   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

A reduced-form intensity model containing noise interference

Systems Science & Control Engineering, 2019
OTC financial derivatives are non-standardized face-to-face financial contracts its trading environment is characterized by less information, information disclosure may be distorted, and no exchange protection. It results in asymmetric information on the
Dong-wei Shi, Dong-e Bao, Liang Wu
doaj   +1 more source