Results 81 to 90 of about 471,297 (282)

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Huang Jing, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

The Relationship between Vocabulary Size and Reading Comprehension among Japanese EFL Learners [PDF]

, 2017
This paper explores the correlation between reader performance on a standardized reading exam, which was gauged using scores from the reading section of the TOEFL ITP and the GTEC, and vocabulary size, which was measured by administering the bilingual ...
Daniel Ball, Daniel Buller
core   +1 more source

Phenotypic Diversity and Outcomes in Pediatric NMDA Receptor Encephalitis: A 15‐Year Retrospective Study from the Largest Children's Hospital in the United States

Advanced Science, EarlyView.
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss, Timothy Erickson, Yike Jiang, Varun Kannan, Jonathan M. Yarimi, Kristen S. Fisher, Nikita Shukla, Tim Lotze, Eyal Muscal, Kristy O. Murray   +9 more
wiley   +1 more source

The contribution of vocabulary breadth and depth to narrative writing ability: A partial least squares structural equation modelling approach

Australian Journal of Applied Linguistics
Despite the well-established role of lexis in proficiency in the four skills, a great deal of research has focused on the importance of vocabulary breadth and depth in reading.
Abdelaziz Agrram, Najat Mokhtari, Daouia Laaboudi   +2 more
doaj   +1 more source

Word recognition from tiered phonological models [PDF]

, 1994
Phonologically constrained morphological analysis (PCMA) is the decomposition of words into their component morphemes conditioned by both orthography and pronunciation. This article describes PCMA and its application in large-vocabulary continuous speech
Huckvale, M
core  

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

A review of four studies on measuring vocabulary knowledge

Vocabulary Learning and Instruction, 2014
The purpose of this paper is to review each of the following four vocabulary studies: (1) Estimations of Japanese University Learners’ English Vocabulary Sizes Using the Vocabulary Size Test (VST), by Stuart McLean, Nicholas Hogg, and Brandon Kramer, (2)
Akiyo Hirai
doaj   +1 more source

Direct vocabulary instruction: The effects of contextualised word families on students’ vocabulary acquisition / Frankie Subon [PDF]

, 2018
The present study’s review on past studies in Malaysia reveals lexical paralysis as the main reason for students’ inability to master English as a second language.
Subon, Frankie
core  

Multilingual Language Processing From Bytes

, 2016
We describe an LSTM-based model which we call Byte-to-Span (BTS) that reads text as bytes and outputs span annotations of the form [start, length, label] where start positions, lengths, and labels are separate entries in our vocabulary.
Brunk, Cliff, Gillick, Dan, Subramanya, Amarnag, Vinyals, Oriol   +3 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
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, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source