Results 81 to 90 of about 247,756 (301)

Triply‐Twinned Metamaterials: Unraveling the Mechanics and Failure Pathways Through High‐Resolution XCT

open access: yesAdvanced Materials, EarlyView.
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur   +7 more
wiley   +1 more source

Synchronizing the Osteochondral Regeneration Process through Spatial Patterning of Stable and Hypertrophic Cartilage Organoids

open access: yesAdvanced Materials, EarlyView.
Zonated osteochondral assembloid implants are engineered through scaffold‐free spatial assembly of induced pluripotent stem cell (iPSC)‐derived chondrocyte organoids and periosteum‐derived osteogenic organoids. Implanted into full‐thickness rat osteochondral defects, they promote hyaline‐like cartilage repair, support subchondral bone formation with ...
Liuqi Peng   +3 more
wiley   +1 more source

Optimal Fuzzy Model Construction with Statistical Information using Genetic Algorithm

open access: yes, 2012
Fuzzy rule based models have a capability to approximate any continuous function to any degree of accuracy on a compact domain. The majority of FLC design process relies on heuristic knowledge of experience operators.
Hossain, Md. Amjad   +3 more
core   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

open access: yesAdvanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho   +3 more
wiley   +1 more source

MINING MULTIDIMENSIONAL FUZZY ASSOCIATION RULES FROM A DATABASE OF MEDICAL RECORD PATIENTS

open access: yesJurnal Informatika, 2008
Mining association rules is one of the important tasks in the process of data mining application. In general, the input as used in the process of generating rules is taken from a certain data table by which all the corresponding values of every domain ...
Rolly Intan   +2 more
doaj  

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

open access: yesAdvanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar   +15 more
wiley   +1 more source

Energy and Entropy Measures of Fuzzy Relations for Data Analysis

open access: yesEntropy, 2018
We present a new method for assessing the strength of fuzzy rules with respect to a dataset, based on the measures of the greatest energy and smallest entropy of a fuzzy relation.
Ferdinando Di Martino, Salvatore Sessa
doaj   +1 more source

Double‐Transition‐Metal MXenes: Multimetallic 2D Platforms for Next‐Generation Biomedicine

open access: yesAdvanced Materials, EarlyView.
The present work explores recent progress in double‐transition‐metal MXenes and focuses on their potential as multifunctional biomedical nanoplatforms whose tunable optical, electronic, mechanical, and surface properties enable imaging, theranostics, antimicrobial activity, biosensing, tissue engineering, and drug delivery.
Parsa Namakiaraghi   +2 more
wiley   +1 more source

A 16 Rules@2.5Mflips Mixed-Signal Programmable Fuzzy Controller CMOS-1μm Chip [PDF]

open access: yes, 1996
We present a fuzzy inference chip capable to evaluate 16 programmable rules at a speed of 2.5Mflips (2.5 × 10 6 fuzzy inferences per second) with 8.6mW power consumption.
Navas González, Rafael   +2 more
core  

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