Results 71 to 80 of about 2,063,711 (296)
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Syntactic complexity of online newspaper editorials across countries
This study attempts to reveal the syntactic complexity of online English newspaper editorials across countries. The data was taken from ten online English newspaper and was analyzed by using L2 syntactic complexity analyzer (Lu, 2010).
Dwi Indarti
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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
This study aims to examine the degree of syntactic complexity in Korean L2 college students’ writing of four different genres. Using 14 syntactic complexity measures as indices of L2 language development of writing, this study investigates how syntactic ...
Jiyoung Bae, Sujung Min
semanticscholar +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Linguistic complexity in high-school students’ EFL writing
This study examined the syntactic and semantic complexity of L2 English writing in a Bosnian-Herzegovinian high school. Forty texts written by individual students, ten per grade, were quantitatively analyzed by applying methods established in previous ...
Delić Amer, Jašić Alma Jahić
doaj +1 more source
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source
Background: This study investigates the relationship where common linguistic errors may act as constraints on the attainment of syntactic complexity and explores the resulting pedagogical implications in advanced writing.
Muhammad A.N. Mahmood +3 more
doaj +1 more source
Measuring Syntactic Complexity in L2 Writing Using Fine‐Grained Clausal and Phrasal Indices
Syntactic complexity is an important measure of second language (L2) writing proficiency (Larsen–Freeman, 1978; Lu, 2011). Large‐grained indices such as the mean length of T‐unit (MLTU) have been used with the most consistency in L2 writing studies ...
K. Kyle, S. Crossley
semanticscholar +1 more source

