Results 131 to 140 of about 8,738,264 (288)
TempReasoner: neural temporal graph networks for event timeline construction
Constructing event timelines from unstructured temporal data is a fundamental challenge for knowledge extraction and reasoning systems. Existing temporal reasoning methods face challenges in jointly modelling fine-grained temporal dependencies, sparse ...
Mohammed Aldawsari
doaj +1 more source
Optimized Lipid Nanoparticles with Tail‐Modified Ionizable Lipids for Safer mRNA Delivery
Systematic engineering of hydrophobic tail architecture in vitamin B5‐derived ionizable lipids establishes a comprehensive structure–activity relationship framework for mRNA delivery. Combined lipidtail and formulation optimization identifies TM1‐OPT3‐C, a lipid nanoparticle platform that improves efficacy–safety balance through efficient mRNA delivery,
Seo‐Hyeon Bae +27 more
wiley +1 more source
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang +17 more
wiley +1 more source
Knowledge graph applications for identifying resilient forage systems
Knowledge Graphs organize and connect disparate data for integrating information in a user‐friendly interface for recommendations and applications. This analytical tool for supporting data interrogation has not been widely applied in agronomy.
Amanda J. Ashworth +9 more
doaj +1 more source
DynaKG: Dynamic Knowledge Graph Attention With Learnable Temporal Decay for Recommendation
Knowledge graph-based recommendation systems excel at capturing semantic relationships but struggle to model temporal dynamics in evolving user preferences, which is a critical limitation for real-world applications where user behaviors and item ...
Bwalya Chomba +3 more
doaj +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
Polydopamine nanoparticles enable a precise, non‐genetic, and transcranial neuromodulation strategy via near‐infrared photothermal stimulation. By activating TRPV1 channels, this approach specifically enhances hippocampal gamma oscillations, thereby rescuing spatial memory deficits in models of perioperative neurocognitive disorder.
Yan‐Bo Zhou +10 more
wiley +1 more source
Human skeleton-based action recognition represents a pivotal field of study, capturing the intricate interplay between physical dynamics and intentional actions.
Jiexing Yan +3 more
doaj +1 more source
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source
Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song +8 more
wiley +1 more source

