Results 171 to 180 of about 874,982 (263)

High‐Resolution Mechanoluminescent Haptic Sensor via Dual‐Functional Chromatic Filtration by a Conjugated Polymer Shell

Advanced Materials, EarlyView.
A high‐resolution mechanoluminescence (ML) platform is achieved through chromatic filtration strategy using a conjugated polymer shell (F8BT) on copper‐doped zinc sulfide microparticles. This shell narrows the emission bandwidth, selectively filtering out blue noise, while simultaneously boosting intensity via ML photon recycling process.
Hong In Jeong, So Eun Choi, Xian Wei Chua, Nam Woo Kim, Eleni Pyrilli, Hyosun Lee, Dong‐Won Kang, Bo Ram Lee, Samuel D. Stranks, Jongho Kim, Sujoy Bandyopadhyay, Hyosung Choi   +11 more
wiley   +1 more source

Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies. [PDF]

PLoS One
Sato R, Ito N, Kadomatsu S, Hanioka N, Nakajima M, Goto T.   +5 more
europepmc   +1 more source

Additively Manufacturable High‐Strength Aluminum Alloys with Coarsening‐Resistant Microstructures Achieved via Rapid Solidification

Advanced Materials, EarlyView.
Rapid solidification in laser additive manufacturing facilitates the precipitation of metastable phases in aluminum alloys. These metastable phases significantly enhance the strength by forming a high‐volume fraction of precipitates with an order of magnitude reduced sizes and smaller interspacing, effectively impeding dislocation motion. Consequestly,
S. Mohadeseh Taheri‐Mousavi, Michael Xu, Florian Hengsbach, Clay Houser, Zhaoxuan Ge, Benjamin Glaser, Shaolou Wei, Mirko Schaper, James M. LeBeau, Greg B. Olson, A. John Hart   +10 more
wiley   +1 more source

Development of an explainable machine learning asthma prediction model using serum brominated flame retardants in a national population. [PDF]

Clin Exp Med
Pan X, Wang Q, Li C, Huang J, Wu L, Niu W.   +5 more
europepmc   +1 more source

The First Review on Nano‐Agricultural Applications of MXene and MBene‐Based Materials for Plant‐Immunoengineering, Controlled Protection, and Inducing Biostimulation Mechanisms

Advanced Materials, EarlyView.
MXene and MBene nanomaterials show significant potential in addressing critical challenges in biomedicine, applied biology, agriculture, and the environment. From a nano‐agricultural perspective, this relatively young field has witnessed emerging advances towards applications for plant‐immunoengineering, biostimulation, and controlled delivery ...
Alireza Rafieerad, Ahmad Amiri, Maik Böhmer, Soofia Khanahmadi   +3 more
wiley   +1 more source

A machine learning approach to predict self-efficacy in breast cancer survivors. [PDF]

BMC Med Inform Decis Mak
Toygar İ, Özgür S, Bağçivan G, Karaçam E, Benzer H, Özdemir FA, Duman HT, Ovayolu Ö.   +7 more
europepmc   +1 more source

Molecular Nanosolids Generation by Vapor Jet Desublimation

Advanced Materials, EarlyView.
A single‐step, solvent‐free approach to fabricate nanoparticles of small organic molecules is demonstrated, using a nitrogen‐propelled vapor jet, enabling tunable particle morphology and crystallinity. Pharmaceutical, flavoring, dyeing and electronics‐relevant molecules are used, demonstrating process generalizability.
Chao Huang, Eva Katharine Pontrelli, Jae Wan Lee, Binyu Wang, Ganlin Chen, Tatiane Cogo Machado, Hemanth Maddali, Benjamin De Chazal, Anish Tuteja, Ronald G. Larson, Naír Rodríguez‐Hornedo, Max Shtein   +11 more
wiley   +1 more source

Personalized Smart Home Automation Using Machine Learning: Predicting User Activities. [PDF]

Sensors (Basel)
Gad MM, Gad W, Abdelkader T, Naik K.
europepmc   +1 more source

Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array

Advanced Materials, EarlyView.
This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim, Dong Hoon Shin, Wonho Choi, Sunwoo Cheong, Sung Keun Shim, Soo Hyung Lee, Janguk Han, Yoon Ho Jang, Kunhee Son, Néstor Ghenzi, Cheol Seong Hwang   +10 more
wiley   +1 more source

Machine learning and quantitative computed tomography radiomics prediction of postoperative functional recovery in paraplegic dogs. [PDF]

Vet Surg
Low D, Rutherford S.
europepmc   +1 more source