Results 71 to 80 of about 199,658 (311)
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
doaj +1 more source
A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora +18 more
wiley +1 more source
3D‐Printed Soft Magnetoactive Origami Actuators
Soft magnetoactive films are 3D‐printed using ink with up to 75 wt.% ferromagnetic particles and dual UV/heat curing, then integrated with various origami structures. The films are flexible, magnetically responsive, and programmable, enabling flexible integration with origami without hindering shape‐changeability.
Sen Zhang +6 more
wiley +1 more source
Background Nirmatrelvir/ritonavir is indicated for the treatment of COVID-19 in symptomatic adults with increased risk for severe illness, not requiring supplemental oxygen yet. From a Dutch societal perspective, a cost-utility assessment of nirmatrelvir/
Carlos H. Arteaga Duarte +4 more
doaj +1 more source
Contractile vasculatures are fabricated through a one‐step bioprinting strategy. The adaptable microenvironment provided by ECM‐mimicking bioink triggers cell sorting and compartmentalization of endothelial cells and vascular smooth muscle cells toward a histological configuration by focal adhesion kinase‐mediated upregulation of cell adhesion and ...
Jun Chen +9 more
wiley +1 more source
Intersection Traffic Prediction Using Decision Tree Models
Traffic prediction is a critical task for intelligent transportation systems (ITS). Prediction at intersections is challenging as it involves various participants, such as vehicles, cyclists, and pedestrians.
Walaa Alajali +3 more
semanticscholar +1 more source
AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer +3 more
wiley +1 more source
Interactions Between Active Matters and Endogenous Fields
This review synthesizes endogenous field information and computational methods in contexts such as cancer, wounds, and biofilms. It organizes NAMs and AAMs by sensing, transmitting, and executing functions, compares their limitations, and from these contrasts proposes design strategies for next‐generation AAMs, offering perspectives to foster ...
Jinwei Lin +6 more
wiley +1 more source
Background Resistant bacterial infections, particularly those caused by gram-negative pathogens, are associated with high mortality and economic burdens.
Risako Takaya +3 more
doaj +1 more source
Programming Defects and Cavities into Colloidal Crystals Engineered With DNA
Seed‐mediated crystallization is adapted for colloidal crystals to design cavities and defect architectures through chemically programmed DNA sequences and appropriate seed particle geometry. This synthetic approach combines tenets from both atomic and colloidal crystallization to deliberately control defect formation in superlattices and enables the ...
Rachel R. Chan +13 more
wiley +1 more source

