Results 161 to 170 of about 177,158 (279)
Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation. [PDF]
Appl Intell (Dordr), 2023 Khan N, Ma Z, Yan L, Ullah A.
europepmc +1 more source
Advanced Science, EarlyView.Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu +11 more
wiley +1 more source
Knowledge graph embeddings for recommender systems
, 2020 L'abstract è presente nell'allegato / the abstract is in the ...
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Prediction of adverse drug reactions based on knowledge graph embedding. [PDF]
BMC Med Inform Decis Mak, 2021 Zhang F, Sun B, Diao X, Zhao W, Shu T.
europepmc +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
Advanced Science, EarlyView.ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Advanced Science, EarlyView.Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Advanced Science, EarlyView.The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci +12 more
wiley +1 more source
Bias in knowledge graph embeddings
, 2021 Knowledge graphs (KGs) are multi-relational directed graphs used in many tasks in recent years, including question answering, recommendation and information retrieval. They are associated with, and used by search engines such as Google, Bing, and Yahoo; and social networks such as LinkedIn and Facebook.
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source