Results 161 to 170 of about 64,148 (296)
BAYESIAN DATA AUGMENTATION FOR RECURRENT EVENTS UNDER INTERMITTENT ASSESSMENT IN OVERLAPPING INTERVALS WITH APPLICATIONS TO EMR DATA. [PDF]
Liu X, Schnell PM.
europepmc +1 more source
Inspired by epithelial tissue, epithelium‐like structure hydrogels are synthesized. The as‐prepared hydrogels exhibit ultrahigh toughness, ultralow hysteresis, and ultrahigh compressibility, which can be utilized as self‐powered and visual strain sensors.
Yutang Zhou +4 more
wiley +1 more source
The distribution of the sum of two independent Lindley random variables having the same parameter defines the 2S-Lindley distribution recently introduced in the statistical literature.
Christophe Chesneau +3 more
doaj
Discovery of a novel Keap1 inhibitor for neurodegeneration through virtual screening and molecular dynamics simulations. [PDF]
Hasan MM +4 more
europepmc +1 more source
PARPi Combining Nanoparticle LIN28B siRNA for the Management of Malignant Ascites
This study demonstrates that co‐inhibition of LIN28B and PARP using siLin28b/DSSP@lip‐PEG‐FA nanoparticles in combination with the PARP inhibitor BMN673 effectively suppresses the accumulation of malignant ascites associated with advanced cancers.
Yan Fang +13 more
wiley +1 more source
Re-examining the drivers of variation in parasite loads across hosts in the Tallis-Leyton model. [PDF]
McVinish R.
europepmc +1 more source
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang +7 more
wiley +1 more source
Polyacid Solutions as an Analogue of a Neural Network. [PDF]
Kabdushev S +5 more
europepmc +1 more source
Merging 4D printing with magneto‐responsive shape memory polymers opens new avenues for intelligent, reconfigurable systems. This review navigates cutting‐edge fabrication techniques, magnetic fillers, and smart polymer matrices, unveiling their potential in soft robotics, biomedical devices, and wearable tech.
Kiandokht Mirasadi +7 more
wiley +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source

