Results 181 to 190 of about 149,514 (293)

Wood-Plastic Composites: Manufacturing, Rheology and Processing and Process Modeling. [PDF]

Materials (Basel)
Wilczyński K, Buziak K, Wilczyński A.
europepmc   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Optimization and Validation of CO₂ Laser-Machining Parameters for Wood-Plastic Composites (WPCs). [PDF]

Polymers (Basel)
Ahmad Sobri S, Chow TP, Tatt TK, Nordin MH, Hermawan A, Mohamad Amini MH, Norizan MN, Shuaib NA, Wan Ismail WOAS.   +8 more
europepmc   +1 more source

Sustainability evaluation of high value-added products [PDF]

In this report the authors present a brief overview of the methods that are presently in use for evaluating sustainability. They discuss more deeply the pros and cons of the various methods, with a strong focus on the LCA (Life Cycle Analysis) method ...
Bos, H.L., Meesters, K.P.H.
core   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

Influence of Milling Parameters on Sound Pressure Level during the Milling of Wood-plastic Composites

BioResources
The high-intensity noise generated during high-speed milling of wood-plastic composites, due to the material properties of anisotropy and non-uniformity, seriously affects the working environment and operator comfort. The influence of axial depth of cut,
Zhenwen Chen, You Peng, Jiayi Gan, Fang Luo, Weihua Wei   +4 more
doaj  

Prediction of Thermomechanical Behavior of Wood-Plastic Composites Using Machine Learning Models: Emphasis on Extreme Learning Machine. [PDF]

Polymers (Basel)
Hua X, Cao Y, Liu B, Yang X, Xu H, Li L, Wu J.   +6 more
europepmc   +1 more source

Scalable, Low‐Cost, Freeze‐Resistant Hydrogels by Alkali‐Polyphenol‐Triggered Polymerization for Low‐Temperature Self‐Powered Triboelectric Sensor

Advanced Science, EarlyView.
Leveraging the multidimensional self‐catalytic merits of the alkali‐polyphenol synergistic self‐catalytic platform, this work delineates the intrinsic mechanism governing the regulation of hydrogel properties and puts forward an innovative design paradigm for frost‐tolerant electrode materials, providing critical scientific insights and technical ...
Mengting Zhou, Yaru Bao, Chunpeng Li, Caicai Li, Gaobo Lou, Shaochao Sun, Zhezhe Zhou, Gaojie Jiao, Xiaochun Zhang, Pingan Song, Dan Sun   +10 more
wiley   +1 more source

Shaping Green Choices: How Sensory Cues Drive Behavior of Wood-Plastic Composites. [PDF]

Behav Sci (Basel)
Wang B, An S, Li K.
europepmc   +1 more source

Plasma Treatment of Polypropylene-Based Wood-Plastic Composites (WPC): Influences of Working Gas. [PDF]

Polymers (Basel), 2020
Sauerbier P, Köhler R, Renner G, Militz H.   +3 more
europepmc   +1 more source