Results 121 to 130 of about 78,218 (310)
AIChE Journal, EarlyView.Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Students' views of learning mathematics in collaborative small groups [PDF]
, 1999 Approaches to mathematics teaching which offer an alternative to stating facts and demonstrating procedures have been criticised for undermining the base for teachers’ sense of their own effectiveness.
Edwards, Julie-Ann, Jones, Keith
core
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Improving The Quality Of The Mathematics Education: The Malaysian Experience [PDF]
, 2011 Improving the quality of teaching and learning of mathematics has always been a major concern of mathematics educators. The four recurring and inter-related issues often raised in the development of a mathematics curriculum are: “What type of ...
Prof. Noor Azlan , Ahmad Zanzali
core
LUMATFor more than 30 years, the study of teachers’ beliefs has been crucial to the mathematics education field since teachers’ beliefs may significantly influence students’ learning of mathematics.
Kristi Pikk +3 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Understanding teaching practice in support of Non-English-Speaking-Background (NESB) students’ mathematics learning [PDF]
, 2013 Research is needed that gives special attention to the experiences of mathematics teachers of Non-English-Speaking-Background (NESB) students. This need prompted me to investigate four of my tertiary mathematics classes that included a number of NESB ...
Gwengo, Martin
core
THE KANSAS ASSOCIATION OF MATHEMATICS TEACHERS [PDF]
School Science and Mathematics, 1909 n ...
openaire +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source