Results 121 to 130 of about 582,117 (303)

Evaluation of the Dual Impact of Nanotechnologies on Health and Environment Through Alternative Bridging Models

Advanced Healthcare Materials, EarlyView.
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre, Margherita Bernardeschi, Matteo Battaglini, Gianni Ciofani   +3 more
wiley   +1 more source

A new method of construction waste classification based on two-level fusion. [PDF]

PLoS One, 2022
Song L, Zhao H, Ma Z, Song Q.
europepmc   +1 more source

Recycled Glass Fiber Reinforced Polymer Composites Incorporated in Mortar for Improved Mechanical Performance [PDF]

, 2017
Glass fiber reinforced polymer (GFRP) recycled from retired wind turbines was implemented in mortar as a volumetric replacement of sand during the two phases of this study.
Englund, Karl, Fakron, Osama, Li, Hui, Nassiri, Somayeh, Rodin, Harry   +4 more
core  

Thermo‐Fluorescent Bactericidal Quantum Dots Based Smart Multifunctional Textiles via Molecular Surface Engineering and 3D‐Printed Interlocked Architectures

Advanced Healthcare Materials, EarlyView.
A versatile approach is presented for fabricating smart multifunctional textiles by integrating thermo‐fluorescent carbon dot/polymer nanocomposite coatings with 3D‐printed interlocked architectures. The fabrics exhibit temperature‐responsive fluorescence, durable hydrophobicity, strong antibacterial and antioxidant activity, and enhanced UV protection.
Poushali Das, Sayan Ganguly, Parham Khoshbakht Marvi, Misha Muthalali, Fatemeh Parniani, Shiza Hassan, Xiaowu (Shirley) Tang, Seshasai Srinivasan, Amin Reza Rajabzadeh   +8 more
wiley   +1 more source

A deep learning approach for medical waste classification. [PDF]

Sci Rep, 2022
Zhou H, Yu X, Alhaskawi A, Dong Y, Wang Z, Jin Q, Hu X, Liu Z, Kota VG, Abdulla MHAH, Ezzi SHA, Qi B, Li J, Wang B, Fang J, Lu H.   +15 more
europepmc   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

Influencing factors of farmers' participation in domestic waste classification: An empirical analysis based on the semi-nonparametric estimation extended model. [PDF]

Front Psychol, 2022
Sun Q, Duan H, Zhong D.
europepmc   +1 more source

Features of coal sludge processing on CDF "Gukovskaya" [PDF]

, 2013
Наведено результати удосконалення технології зневоднення вугільних шламів нефлотаційної крупності на високочастотних грохотах типу ГВЧ шляхом застосування різнопохилих ділянок робочої поверхні, що дозволило зменшити вологість товарної вугільної продукції
Berlin, A.M., Eremeev, I.V.
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Identifying the influencing factors and constructing incentive pattern of residents' waste classification behavior using PCA-logistic regression. [PDF]

Environ Sci Pollut Res Int, 2023
Zheng R, Qiu M, Wang Y, Zhang D, Wang Z, Cheng Y.   +5 more
europepmc   +1 more source