Results 81 to 90 of about 249,709 (257)

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Financial Capability in Africa: Innovation Through Evidence, Practice, and Policy. [PDF]

Glob Soc Welf, 2023
Ansong D, Okumu M, Koomson I.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Introduction to the Special Issue on "Financial Capability and Asset Building for Family Financial Wellbeing". [PDF]

J Fam Econ Issues, 2022
Birkenmaier J, Rothwell D, Frey JJ, Coffey DS.   +3 more
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Knowledge, Actionable Digital Skills, and Old-Age Anxiety: Evidence from Digital Financial Literacy Components Among Japanese Retail Investors

International Journal of Financial Studies
Rapid digitalization has reshaped financial decision-making, and anxiety about later life is an important concern among middle-aged and older investors.
Jargalmaa Amarsanaa, Honoka Nabeshima, Yoshihiko Kadoya   +2 more
doaj   +1 more source

Gender Differences in the Relationship Between Financial Capability and Health in Later Life: Evidence From Hong Kong. [PDF]

Innov Aging, 2023
Chen YC, Sun S.
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

DETERMINANTS OF MALAYSIAN RETAIL INVESTORS' PARTICIPATION IN THE CAPITAL MARKET

The International Journal of Banking and Finance
Despite the rapid development of Malaysia’s capital market and broader access to investment platforms, retail investor participation remains limited due to low financial literacy, reliance on informal information sources, and cautious savings behaviour.
Mohamad Fazli Sabri, Siong Hook Law, Husniyah Abdul Rahim, Ahmad Nasir Mohd Yusoff, Megawati Simanjuntak, Mervin Anthony   +5 more
doaj   +1 more source

Women's Participation in a Savings Group and Depression: a Community-Based Financial Capability Intervention in Mozambique. [PDF]

Glob Soc Welf, 2023
Tadesse A, Huang J.
europepmc   +1 more source