Results 101 to 110 of about 1,184,040 (262)

What Do Large Language Models Know About Materials?

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Light‐Assisted 3D Printing Techniques and Photocrosslinking Strategies: Recent Advances in Musculoskeletal Tissue Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley   +1 more source

The crossroads of knowledge and financialization

open access: yes, 2021
This thesis questions the connection between knowledge and finance and advances an account that links both in a two-folded way. The first level departs from what separates the two opposite views or alternative explanations about the value of knowledge.
openaire   +1 more source

The role of financial knowledge and financial literacy in student financial management

open access: yesInternational Journal of Applied Finance and Business Studies
A country's high level of finance will encourage the development of its economy. Internal and external factors cause high and low financial management behavior. This study aims to develop a model that examines the three variables that the author has analyzed to determine the factors that can improve student financial management.
Titin Titin   +4 more
openaire   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

The Effects of Financial Knowledge and Financial Attitude on Financial Management Behavior

open access: yesJurnal Management Risiko dan Keuangan
The difficulties faced by Generation Z in their financial management is affected by several factors. The objective of this research is to analyze the effects of financial knowledge and financial attitude on the financial management behavior of students of Faculty of Economics and Business of Universitas Brawijaya.
Elma Sukma Wardani, Pusvita Yuana
openaire   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
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

FINANCIAL KNOWLEDGE, FINANCIAL WELLBEING, AND ONLINE SHOPPING ADDICTION AMONG YOUNG INDONESIANS

open access: yesJurnal Manajemen dan Wirausaha, 2019
With the recent booming of e–commerce business in Indonesia, it is essential to conduct further studies on online shopping behavior of Indonesians. Past studies on online shopping addiction emphasize only psychological factors and overlook financial ...
Sherly Tanoto, Evelyn Evelyn
doaj  

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

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