Results 61 to 70 of about 32,741 (282)

Bypassing Pre‐Photoactivation in High‐Barrier Polyamide for Robust and Scalable Organic Persistent Luminescence

Advanced Science, EarlyView.
A universal paradigm resolves the trade‐off between ambient stability and barrier properties in organic persistent luminescent (OPL) polymers. By interlocking chromophores within a high‐barrier MXD6 matrix, we achieved no Pre‐photoactivation OPLs with exceptional long‐term stability in water.
Yunlong Yang, Sha Liu, Shilin Bo, Longming Jin, Baijun Tang, Zhiying Guo, Chengtao Gao, Xionggang Wang, Yuejun Liu, Qiang Zheng, Zi Liang Wu   +10 more
wiley   +1 more source

VMD output for the considered solar PV farm.

, 2022
VMD output for the considered solar PV farm.
Jaikumar S. (13813296), Gobu Balraj (13813290), Amalraj Victoire (13813299), Aruldoss Albert Victoire (13813293)   +3 more
core   +1 more source

Strain‐Adaptive Dielectric Metamaterials via Bioinspired “Ligament‐Bone” Architecture for Ultrahigh‐Energy Capacitive Storage

Advanced Science, EarlyView.
A bioinspired strain‐adaptive ligament‐bone architecture achieves record‐high energy density of 26.1 J cm−3 and 90% efficiency at 600 MV m−1, coupled with a Young's modulus of 2.13 GPa. ABSTRACT Polymer dielectrics for capacitive energy storage face fundamental trade‐offs between breakdown strength, energy density, efficiency, and mechanical robustness.
Jian Wang, Xinyu Wang, Jiabao Wang, Biyun Peng, Yifei Zhang, Ning Zhu, Xin Hu   +6 more
wiley   +1 more source

An insight on VMD for diagnosing wind turbine blade faults using C4.5 as feature selection and discriminating through multilayer perceptron

Alexandria Engineering Journal, 2020
This paper presents a pioneer study of identifying the wind turbine blade condition based on its vibration pattern. The study used variational mode decomposition (VMD) for signal pre-processing.
A. Joshuva, R. Sathish Kumar, S. Sivakumar, G. Deenadayalan, R. Vishnuvardhan   +4 more
doaj   +1 more source

Anomalies, VMD and the Enjl Model

, 1993
8 pages, plain LaTeX, preprint NORDITA - 93/69 N,P and NBI-93 ...
Bijnens, Johan, Prades, Joaquim
openaire   +2 more sources

Denoising for ECG signals based on VMD and RLS [PDF]

Electrocardiogram (ECG) signals often encounter various types of noise interference, which annihilates their waveform characteristics and exhibits strong instability.
Chen, Wenjie, Zhang, Chenhua, Chen, Hongda   +2 more
core   +1 more source

Structure flowchart of the parallel VMD-OS-QR-ELM.

, 2022
Structure flowchart of the parallel VMD-OS-QR-ELM.
Xue Mei Liu (11914266), Li Bo Yang (11914263), Li Hu Wang (11914260), Yang Liu (4829)   +3 more
core   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

Advanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu, Zhenwen Zhao, Yangjie Wang, Zhigang Liu, Zhijie Liu, Xiaoling Li, Zhichen Mao, Lu Xu, Gan Lin, Gang Liu, Hongjuan Ma   +10 more
wiley   +1 more source

Backbone Steric Constraints Underlie High Passive Membrane Permeability of N‐Alkyl Peptides

Angewandte Chemie, EarlyView.
Beyond amide hydrogen removal, steric constraints encoded in N/Cα‐dually substituted backbones are uncovered as a key determinant of passive membrane permeability in N‐alkyl peptides. These constraints restrict conformational freedom and sterically limit backbone hydration during membrane permeation.
Ayumi Inayoshi, Mariko Akiba, Marin Yokomine, Masatake Sugita, Koji Umezawa, Yuto Hirota, Yutaka Akiyama, Jumpei Morimoto, Shinsuke Sando   +8 more
wiley   +2 more sources

Optimization method for remaining life prediction of conventional circuit breaker based on deep learning

Diance yu yibiao
In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed ...
SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui   +5 more
doaj   +1 more source