Results 71 to 80 of about 89,814 (256)

Enhanced Ultrasound Transmission Through Aberration Layers Using Space‐Coiling Acoustic Metamaterials

Advanced Engineering Materials, EarlyView.
Enhancing ultrasound transmission through an aberration layer exhibiting mismatched impedance with the surrounding medium possesses great implications in imaging and treatment. In this study, we show that a space‐coiling acoustic metamaterial with judiciously tailored structural profile can help improve impedance matching.
Maral Ghanami, Hengzhe Ren, Erqian Dong, Ashkan Ghanbarzadeh‐Dagheyan, Chen Shen   +4 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Boolean Logic‐Based Control Over Recombinant Protein Biomaterial Degradability and Therapeutic Delivery

Advanced Materials, EarlyView.
Fully recombinant protein‐based biomaterials execute complex Boolean logic for user‐programmable material degradation and concomitant therapeutic cargo release. Biologics, such as growth factors, can be incorporated within the crosslinkers as “drugamers”, while encapsulated cells can be released according to nested YES/OR/AND‐type logical operations ...
Murial L. Ross, Ryan Gharios, Shivani Kottantharayil, Cole A. DeForest   +3 more
wiley   +1 more source

Just another bike? Modelling the interdependence of conventional and electric bicycle ownership and the influence of topography using large-scale travel survey data from Germany.

PLoS ONE
Electrical bicycle ownership rates are growing rapidly. Despite differences to conventional cycling, the two types of bicycles are generally not differentiated in travel demand modelling practice.
Leonard Arning, Heather Kaths
doaj   +1 more source

Small Area Estimation under Poisson–Dirichlet Process Mixture Models

Axioms
In this paper, we propose an improved Nested Error Regression model in which the random effects for each area are given a prior distribution using the Poisson–Dirichlet Process. Based on this model, we mainly investigate the construction of the parameter
Xiang Qiu, Qinchun Ke, Xueqin Zhou, Yulu Liu   +3 more
doaj   +1 more source

Hydrophobic MFI‐Type Zeolites via Alkali‐Cation‐Induced Defect Healing: Implications for Adsorbent and Catalyst Design

Advanced Materials, EarlyView.
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler, Pau Ferri, Francisco Javier Escobar‐Bedia, Álvaro Mayoral, Alejandro Vidal‐Moya, Richard Kendra, Chen Lei, Miguel Palomino, Fernando Rey, Lukáš Grajciar, Christopher James Heard, Pedro Serna, Mercedes Boronat, Cristina Martínez, Manuel Moliner   +14 more
wiley   +1 more source

Predicting soil δ13C patterns in Brazil using nested datasets, feature selection, and machine learning

Ecological Informatics
Soil δ13C is an integrative indicator of carbon cycling, vegetation composition, and land use dynamics. Despite increasing availability of high-resolution environmental datasets, predicting soil δ13C remains challenging due to collinear and scale ...
Osmar Luiz Ferreira de Carvalho, Glauber das Neves, João Paulo Sena-Souza, Alexandre Tadeu Brunello, Vinicius Vasconcelos, Daniel Guerreiro e Silva, Maria Gabriella da Silva Araújo, Deoclecio Jardim Amorim, Luiz Antonio Martinelli, Gabriela Bielefeld Nardoto, Osmar Abílio de Carvalho, Júnior   +10 more
doaj   +1 more source

Material Before Morphology: Substrate‐Dependent Mechanical Tuning of Radular Teeth

Advanced Materials Interfaces, EarlyView.
Substrate‐dependent material tuning in Clausilia radular teeth. Closely related taxa retain a conserved gross tooth morphology, but differ in elemental composition and mechanical properties according to feeding substrate. Rock‐associated taxa show increased Ca–Si enrichment and higher stiffness and hardness, especially in the central radular region ...
Ida Lilienthal, Bernhard Hausdorf, Stanislav N. Gorb, Wencke Krings   +3 more
wiley   +1 more source

Prediction of body fat percentage using a new hybrid intelligent feature selection: ANN-KGA & ANN-IKGA [PDF]

PeerJ Computer Science
Before initiating obesity treatment, it is essential to determine body fat percentage (BFP), a measure that cannot be assessed through conventional weighing alone.
Tohid Yousefi, Özlem Varlıklar
doaj   +2 more sources