Results 161 to 170 of about 14,349 (287)

Step‐Ladder Bioprinting to Align Collagen Fibers for Anisotropic Tissue Fabrication

open access: yesSmall, EarlyView.
The step‐ladder printing platform includes successive segments of channels with varying widths in a custom barrel design. This design allows for improved anisotropy of collagen fibers during extrusion. To demonstrate its effectiveness, corneal constructs with high transparency and shape fidelity, as well as articular cartilage constructs, displaying ...
Ilayda Namli   +8 more
wiley   +1 more source

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley   +1 more source

Growing and linking optimizers: synthesis-driven molecule design. [PDF]

open access: yesBrief Bioinform
Descamps C   +5 more
europepmc   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

open access: yesTAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman   +2 more
wiley   +1 more source

Quantum Computing for Transport Network Optimization. [PDF]

open access: yesEntropy (Basel)
Ju J   +7 more
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

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