Results 41 to 50 of about 2,103 (253)
The research is carried out to find out the relationship of macroeconomic factors with the financial soundness indicators of CARAMELS framework for non-life insurance industry, by using a panel data set of 22 non-life insurance companies of Pakistan ...
Saghir Pervaiz Ghauri +3 more
doaj +2 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A Model for Assessing the Financial Strength of the Iranian Banks [PDF]
One of the main problems in the Iranian Banking industry is lake of a comprehensive and native model for assessing financial strength of Iranian banks. So the aim of this study is to develop a model to meet this problem.
Mohamadjavad Salimi +2 more
doaj +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley +1 more source
Financial Soundness Indicators in Nigeria: Does Economic Condition Matters?
The growing concern amongst analysts, economists, and policy makers on the interrelationship between the soundness of the financial system and the macro-economy is gradually being confirmed by both theoretical and empirical studies. This study is an attempt to join the strand of literature that investigates the link between the soundness of the banking
Yaaba Baba Nmadu +5 more
openaire +2 more sources
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Ultrawide Bandwidth Optomechanical Magnetometry Using Flux Concentration
High‐permeability flux concentrators enable ultrawide‐bandwidth chip‐scale optomechanical magnetometry by exploiting magnetic nonlinearity to up‐convert low‐frequency fields to the mechanical resonance, where sensitivity is optimal. This enables flat wideband operation over more than four orders of magnitude, from tens of kilohertz to sub‐hertz ...
Benjamin J. Carey +6 more
wiley +1 more source

