Results 91 to 100 of about 69,930 (266)

Offline and online coupled tensor factorization with knowledge graph.

open access: yesPLoS ONE
How can we accurately decompose a temporal irregular tensor along while incorporating a related knowledge graph tensor in both offline and online streaming settings? PARAFAC2 decomposition is widely applied to the analysis of irregular tensors consisting
SeungJoo Lee, Yong-Chan Park, U Kang
doaj   +1 more source

Terrorist Event Model Based on Spatial-temporal Multi-graph Convolutional Network Under Resilient Power Grid

open access: yesJournal of Harbin University of Science and Technology
Terrorism is one of the most important threats to today’ s civilization. Terrorism not only disturbs the social order but also affects the quality of life.
GAO Hongliang   +5 more
doaj   +1 more source

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

open access: yesAdvanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis   +32 more
wiley   +1 more source

Electric Power Terrorism Event Prediction Based on Temporal Knowledge Graph Embedding

open access: yesJournal of Harbin University of Science and Technology
It is crucial to predict power terrorism events for ensuring people life quality and social stability. Existing methods use the global terrorism database ( GTD) to build a two-layer static knowledge graph for predicting power terrorism events.
CHEN Hongshan   +5 more
doaj   +1 more source

MASH Background Confers Enhanced Disease Susceptibility and Acetaminophen Toxicity in iPSC‐Derived Liver Organoids

open access: yesAdvanced Science, EarlyView.
This work establishes a novel method for generating multicellular liver organoids from control and MASH donor iPSCs. The model recapitulates several disease‐specific characteristics, with MASH donor‐derived organoids showing higher susceptibility. Lipidomic profiling of MASH organoids closely resembles MASH liver biopsies.
Ekta Minocha   +5 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

QLGAN: a quantum-lineage graph attention network for temporal knowledge graph entity alignment

open access: yesJournal of King Saud University: Computer and Information Sciences
Temporal entity alignment, the task of identifying equivalent entities across evolving knowledge graphs (KGs), is a critical yet challenging problem. Existing methods often struggle to holistically model the complex interplay between structural topology ...
Jia Li, Yuxi Ma, Lingzhong Meng
doaj   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

open access: yesAdvanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott   +5 more
wiley   +1 more source

A Convolutional Neural Network With Time-Aware Channel Weighting for Temporal Knowledge Graph Completion

open access: yesIEEE Access
Temporal Knowledge Graphs (TKGs) extend traditional knowledge graphs by incorporating a temporal dimension into triples, enabling a more precise modeling of dynamic relationships.
Kesheng Zhang   +2 more
doaj   +1 more source

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

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