Results 61 to 70 of about 448,529 (245)
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Code-switching attitudes and their effects on acceptability judgment tasks [PDF]
The present study examines the effects of code-switching (CS) attitudes in Acceptability Judgment Tasks (AJTs) among early Spanish/English bilinguals in the United States.
Sara Stefanich (7938167) +3 more
core +4 more sources
During vaccine production using the chicken embryo cultivation method, viruses such as influenza need to be inoculated into 10-day-old chicken embryos for cultivation.
Mingyan Zhao +6 more
doaj +1 more source
Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications
Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong +5 more
wiley +1 more source
Predicting Sentence Acceptability Judgments in Multimodal Contexts
Previous work has examined the capacity of deep neural networks (DNNs), particularly transformers, to predict human sentence acceptability judgments, both independently of context, and in document contexts. We consider the effect of prior exposure to visual images (i.e., visual context) on these judgments for humans and large language models (LLMs ...
Hyewon Jang +4 more
openaire +2 more sources
Mineralization alone does not establish a mature bone organoid. This Review integrates biological foundations, materials design, adaptive remodeling, and translational validation through the development‐to‐remodeling continuum (DRC). By separating biological functions from the evidence supporting them, the framework exposes critical gaps in current ...
Xijie Tang +4 more
wiley +1 more source
We present a state-trace analysis of sentence ratings elicited by asking participants to evaluate the overall acceptability of a sentence and those elicited by asking participants to focus on structural well-formedness only.
Steven Langsford +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Horses for courses: When acceptability judgments are more suitable than structural priming (and vice versa) [PDF]
Although structural priming is often the most suitable paradigm, it sometimes misses effects that are detected by more sensitive acceptability-judgment tasks, thus yielding incorrect conclusions.
Ambridge, B.; id_orcid +2 more
core +1 more source

