Results 41 to 50 of about 7,058,297 (259)
While several comparative studies have analyzed the effectiveness of various large language models (LLMs), most of them were technical (i.e., comparing execution time, among others).
Achraf Othman +5 more
doaj +1 more source
Researching Teacher Work Motivation in Ghana through the Lens of COVID-19
Teachers, particularly in developing contexts, were vulnerable populations during the COVID-19 pandemic. As natural parental figures for students, they had to reconcile the dual role of ensuring the safety and health of students and their own and their ...
Michael Agyemang Adarkwah
doaj +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours
Lung cancer is one of the most common causes of cancer deaths in the modern world. Screening of lung nodules is essential for early recognition to facilitate treatment that improves the rate of patient rehabilitation.
Muhammad Asim Saleem +5 more
doaj +1 more source
Procedural Medical Training in VR in a Smart Virtual University Hospital [PDF]
A smart virtual university hospital representing a real-life one, can prepare students for direct patient contact and provide possibilities for clinical practice.
Steinsbekk, Aslak +9 more
core +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Barriers to AI adoption for women in higher education: a systematic review of the Asian context
Artificial Intelligence (AI) is transforming higher education rapidly by enabling personalized learning, enhancing administrative processes, and improving access to educational resources.
Usama Kalim +3 more
doaj +1 more source
How do Chinese and Egyptian science textbooks differ? A cross-country comparative research
Textbooks have a crucial role in shaping students' knowledge, behaviors, and attitudes in different school subjects. This study compares the structure and content of science textbooks of grade nine in Egypt and China to reveal the common and different ...
Ahmed Hosny Saleh Metwally +7 more
doaj +1 more source
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source

