Results 141 to 150 of about 8,738,264 (288)
A dynamic preference recommendation model based on spatiotemporal knowledge graphs
Recommender systems are of increasing importance owing to the growth of social networks and the complexity of user behavior, and cater to the personalized needs of users.
Xinyu Fan, Yinqin Ji, Bei Hui
doaj +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
NSD2 coordinates the neurogenic‐to‐gliogenic transition in the developing neocortex through H3K36me2‐dependent activation of EGFR–ERK signaling. Loss of NSD2 disrupts astroglial and oligodendroglial development, whereas ERK activation rescues gliogenic defects in vitro and in vivo.
Hanxue Chen +7 more
wiley +1 more source
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Entity Alignment in Multi-lingual, Temporal, and Probabilistic Knowledge Graphs
This Thesis focuses on dynamic knowledge graphs, specifically addressing entity alignment. In temporal scenarios, take weather forecasting as an example.
Yunfei Li (652635)
core +1 more source
Boiling Histrotripsy (BH), a mechanical form of focused ultrasound (FUS), allows for non‐invasive and non‐ionizing tissue destruction. Utilizing a BH treatment protocol that yielded bifurcating primary tumor growth responses, we found that immediate BH‐induced tumor growth control identifies tumors with acute reductions in antigen‐presenting cells (APC)
Lydia E. Kitelinger +8 more
wiley +1 more source
A previously unrecognized IRE1‐XBP1s‐Slc6a4 signaling axis links endoplasmic reticulum stress to serotonin metabolism, autophagy, and inflammatory osteoclastogenesis. By promoting intracellular serotonin uptake and reducing endogenous 3‐methyladenine accumulation, this pathway accelerates inflammatory bone destruction and provides a promising ...
Pengchao Yang +14 more
wiley +1 more source
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng +19 more
wiley +1 more source
Learning temporal rules from knowledge graph streams
Knowledge Graphs (KGs) are a prevailing data management approach and have found extensive applications in recent years. While several methods have been proposed for learning schema information for KGs in the form of logical rules, they are not suitable ...
Ghiasnezhad Omran, Pouya +2 more
core
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source

