Results 101 to 110 of about 366,907 (276)
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang +14 more
wiley +1 more source
Vocabulary learning strategies (VLSs) can significantly impact the depth and breadth of vocabulary knowledge (VK) in second language learning. However, the role of self-regulation (SR) in the relationship between VLSs and VK has not been extensively ...
Cong Wang, Sida Zhu, Yanmei Dai
doaj +1 more source
Through the introduction of different dimensions of vocabulary knowledge, various studies attempted to examine numerous effective factors on these dimensions. The present study aimed to show the effects of different vocabulary learning styles through extensive and intensive reading programs on depth and breadth aspects of vocabulary knowledge.
openaire +3 more sources
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
The Influence of Common Language on the Trade of Wheat and Bakery Products
ABSTRACT This study examines whether sharing a common official language increases the probability that two countries engage in bilateral trade of wheat and bakery products. Using a binary choice framework applied to 54,780 country‐pair observations for 2023, probit and logit models of the extensive margin of trade are estimated, with a focus on whether
Felipe Durães do Nascimento Monteiro Barbosa +1 more
wiley +1 more source
Vocabulary development is central to academic literacy in higher education EFL contexts, and the rapid expansion of artificial intelligence (AI) has intensified research in this domain.
Xi Chen
doaj +1 more source
The relationship between breadth and depth of vocabulary knowledge and reading comprehension [PDF]
The aim of this study is to investigate the role played by learners' vocabulary knowledge in their reading comprehension performance. It intends to determine whether the breadth and depth of vocabulary knowledge are related to EFL learners' reading ...
Moghadam, Soodeh Hamzehlou
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