CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments. [PDF]
Kuang M +9 more
europepmc +1 more source
To decouple mechanical robustness and energy storage capacity in phase change materials (PCMs), a series of polyurethane‐based PCMs bearing crystallizable alkyl side chains are synthesized via a hard‐segment‐anchored/side‐chain‐storage molecular design.
Huizhou Luo +6 more
wiley +1 more source
Editorial: Microbial community dynamics in agroecosystems: from disease suppression to soil health. [PDF]
Shen M, Li J, He J, Gao L.
europepmc +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Correction: Carvalho et al. Novel Superabsorbent Hydrogels Based on Polyacrylamide and White Angico Gum Enhanced with Kaolinitic Clay and Soapstone for Potential Agricultural Applications. <i>Int. J. Mol. Sci.</i> 2026, <i>27</i>, 4150. [PDF]
Carvalho AS +5 more
europepmc +1 more source
This study identifies C4 as a lead inhibitor of the Lpt system. Notably, C4 potentiates colistin activity by disrupting LPS transport and remodeling phospholipid homeostasis, revealing a functional interplay between the Lpt and Mla systems. These findings establish a mechanistic link between Lpt inhibition and membrane lipid remodeling, positioning Lpt–
Jianya Luo +6 more
wiley +1 more source
Author Correction: Spatiotemporal transcriptomics reveals key gene regulation for grain yield and quality in wheat. [PDF]
Li X +8 more
europepmc +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support. [PDF]
Suriyalaksh M +5 more
europepmc +1 more source

