Results 231 to 240 of about 23,360 (300)
Difficulties in attorneys' before/after questions in child sexual abuse trials. [PDF]
Szojka ZA +3 more
europepmc +1 more source
This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo +7 more
wiley +1 more source
Metabolic Characteristics of PGPR-Induced Growth Promotion in Alfalfa (<i>Medicago sativa</i> L.). [PDF]
Dao R, Zhang Y, Li Q, Lei S.
europepmc +1 more source
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source
A knowledge graph framework for digital twins of chemical processes. [PDF]
Zhang S, Zhang J, Lapkin AA.
europepmc +1 more source
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng +15 more
wiley +1 more source
Clearing the Noise: Seasonal Dynamics of Endophytic Bacteria in Fagus sylvatica Leaves Revealed by Application of PNA Clamps. [PDF]
Giubilei I +5 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Influence of vegetation types on soil physicochemical and biochemical properties in naturally recovering riverbank sand mining sites. [PDF]
Qin Y, Yan T, Feng S.
europepmc +1 more source
Spatial and temporal scale-dependent feedbacks govern dynamics of biocrusts in drylands. [PDF]
Sun J +6 more
europepmc +1 more source

