Results 61 to 70 of about 1,050,481 (278)

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Semantic Knowledge Transparency in E-Business Processes

, 2009
This chapter introduces a new approach named semantic knowledge transparency, which is defined as the dynamic on-demand and seamless flow of relevant and unambiguous, machine-interpretable knowledge resources within organizations and across inter ...
Rahul Singh, Fergle D’Aubeterre, Lakshmi Iyer   +2 more
core   +1 more source

AI‐Assisted Tumor Boundary Delineation via Targeted Ultrasmall Iron Oxide Nanoprobe for High‐Contrast HER2‐Positive Tumor Imaging

Advanced Science, EarlyView.
A novel targeted and pH‐responsive MRI contrast agent was integrated with a 3D nnU‐Net deep learning framework to enable accurate delineation of tumor boundary morphology in HER2‐positive breast cancer imaging. ABSTRACT Breast cancer continues to be a leading cause of cancer‐related mortality in women globally, where precise diagnosis and clear tumor ...
Jiaying Zheng, Yi Zhu, Xinrui Li, Sunxian Dai, Xiangyuan Ma, Hongwei Lu, Zhongling Wang, Benqing Zhou   +7 more
wiley   +1 more source

Processing collocations in the L2: semantic transparency & congruency

, 2021
Mastering collocations is one of the most challenging aspects of vocabulary acquisition, especially for adult learners of a second language (L2). Research shows that frequency, congruency, and semantic transparency are important factors that affect L2 collocational processing.
openaire   +2 more sources

Semantic transparency and masked morphological priming: An ERP investigation [PDF]

Psychophysiology, 2007
AbstractThe role of semantics in the segmentation of morphologically complex words was examined using event‐related potentials (ERPs) recorded to target words primed by semantically transparent (hunter–hunt,) opaque (corner–corn), and orthographically related (scandal–scan) masked primes.
Joanna, Morris, Tiffany, Frank, Jonathan, Grainger, Phillip J, Holcomb   +3 more
openaire   +2 more sources

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces

Advanced Science, EarlyView.
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao, Chao Ye, Shengjie Ling, Ming Li, Zhao Sha, Chun‐Hui Wang, Shuhua Peng   +6 more
wiley   +1 more source

Cognitive Legal Analytics Enabling Adaptive Artificial Intelligence Integration Within Indian Judiciary Systems [PDF]

ITM Web of Conferences
The judiciary systems in India have become complex, with a growing number of legal cases being pending, thus the need for intelligent legal analysis and adaptive AI systems.
Usha Sruthy Murugan, U Marimuthu, Lavaraju B.   +2 more
doaj   +1 more source

Semantic aspects of morphological processing: Transparency effects in Serbian [PDF]

Memory & Cognition, 2002
We examined the contribution of semantics to morphological facilitation in the visual lexical decision task at two stimulus onset asynchronies (SOAs) with Serbian materials. Primes appeared in Roman or Cyrillic characters. Targets always were printed in Roman. When primes were presented at an SOA of 250 msec, decision latencies to verbal targets (e.g.,
Laurie Beth, Feldman, Dragana, Barac-Cikoja, Aleksandar, Kostić   +2 more
openaire   +2 more sources

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer

Advanced Science, EarlyView.
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang, Chengyu Lu, Zhen Wang, Zhijian Cen, Yangshu Zhou, Danyi Li, Qi Xie, Bingbing Li, Shujing Guo, Zhijun Gan, Er‐ran Zhu, Jinbang Li, Aihetaimu Aimaier, Rui Mao, Weihao Qiu, Chenglong Zhao, Ying Tan, Xiaolin Liu, Huiting Ma, Tiansu Geng, Peiyue Wu, Huijun Du, Yu Wang, Yueping Liu, Li Liang   +24 more
wiley   +1 more source