Results 101 to 110 of about 13,076 (308)
Fatal attraction: inheritance and collostruction in the ihjel-construction
The purpose of this paper is two-fold. Firstly, it presents an argument for usage-based inheritance models over complete inheritance models in construction grammar. It is argued that, with the principle of inductive language learning as their foundation,
Kim Ebensgaard Jensen
doaj
Regioisomeric effects are a critical design parameter in self‐assembled monolyaer (SAM) engineering, underscoring their importance for optimizing buried interface properties and advancing the performance and stability of inverted perovskite solar cells.
Myeong‐Ho Hong +5 more
wiley +1 more source
One way to introduce Adele E. Goldberg is to simply say that she is a professor of psychology at Princeton University, who took her Ph.D. at the University of California, Berkeley, under the supervision of cognitive linguistics “founding father” George ...
Diogo Pinheiro
doaj
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
This study investigates the relative roles of frequency and transparency in native speakers’ comprehension of Spanish object relative sentences by comparing performance with two variants of the construction that differ in these properties.
Llompart Miquel +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +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

