Bayesian machine learning for inverse design of ultra-high-performance concrete. [PDF]
Childs C +6 more
europepmc +1 more source
Paraborg: Paramedic Cyborg Insects for In Situ Emergency Drug‐Delivery
This work introduces Paraborg, a human‐supervised paramedic cyborg‐insect platform that combines controllable locomotion, onboard imaging, and an auto‐injection mechanism for in situ drug‐delivery. By demonstrating reliable navigation, target stabilization, injector launch, and multi‐insect teamwork, the study extends cyborg insects from survivor ...
H. Nhan Le +5 more
wiley +1 more source
Retraction: Sulfate activation of wheat straw ash to enhance the properties of high-performance concrete with recycled aggregates and waste tire steel fibers. [PDF]
PLOS One Editors.
europepmc +1 more source
Self‐Assembly of Organic–Inorganic Copolymers Toward Bio‐Inspired Cementitious Composites
Organic–inorganic copolymerization of calcium silicate hydrate and thioctic acid produces a self‐organized nanocomposite inspired by the disordered collagen–mineral architecture of trabecular bone. The resulting material combines a compressive strength above 300 MPa with intrinsic physical reprocessibility, retaining over 80% of its strength and energy
Zonglin Xie +8 more
wiley +1 more source
Multi-scale theoretical modeling with molecular simulation framework for fly ash-based high-performance concrete. [PDF]
Vairagade VS.
europepmc +1 more source
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
Machine learning-based prediction of residual flexural strength in fiber-reinforced ultra-high-performance concrete under elevated temperatures. [PDF]
Kewalramani M +7 more
europepmc +1 more source
Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley +1 more source
Machine learning-based prediction of crack mouth opening displacement in ultra-high-performance concrete. [PDF]
Mahmoodzadeh A +7 more
europepmc +1 more source

