Results 131 to 140 of about 400,889 (304)

CK2α Deficiency Drives Myocardial Fibrosis via Desmin‐Induced Mitochondrial Dysfunction

Advanced Science, EarlyView.
CK2α preserves mitochondrial homeostasis by phosphorylating Desmin to recruit Cryab, ensuring proper filament assembly. CK2α deficiency disrupts this interaction, causing mitochondrial dysfunction, metabolic shifts, bioenergetic failure, and oxidative stress—ultimately establishing a pro‐fibrotic environment that drives cardiac fibrosis.
Canjie Ma, Jiali Jia, Juncong Lan, Jing Wang, Dan Rao, Lanlan Rao, Weibin Zhang, Dongpeng Wu, Jie Zhang, Gang Wang, Baohua Liu, Ying Ao, Zimei Wang   +12 more
wiley   +1 more source

Sound intensity: state-of-the art in noise control of buildings

Archives of Acoustics, 2014
This paper summarizes the progress that has been made in the application of sound intensity techniques related to the research of sound transmission loss in building acoustics.
A. COPS
doaj  

Sound Transmission Loss of a Sandwich Plate with Adjustable Core Layer Thickness. [PDF]

Materials (Basel), 2020
Ehrig T, Dannemann M, Luft R, Adams C, Modler N, Kostka P.   +5 more
europepmc   +1 more source

Validation of a Polyimide Foam Model for Use in Transmission Loss Applications [PDF]

The work described in this paper was focused on the use of a new polyimide foam in a double wall sound transmission loss application. Recall that polyimide foams are functionally attractive, compared to polyurethane foams, for example, owing to their ...
Bolton, J. Stuart, Cano, Roberto J., Hong, Kwanwoo, Howerton, Brian M., Jensen, Brian J., Lorenzi, Tyler, Maxon, John, Silcox, Rich, Wang, Tongan, Weiser, Erik S.   +9 more
core   +1 more source

Molecular Design and Interfacial Functions of Self‐Assembled Monolayers for Perovskite and Tandem Solar Cells

Advanced Energy Materials, EarlyView.
We identify two decisive levers for SAM interfaces: molecular design (carboxylic acid‐based, phosphonic acid, other anchoring chemistries, and polymeric SAMs) and mixing routes (co‐assembly, in situ assembly, pre‐ and post‐treatment). Coordinated tuning of headgroups and assembly pathways optimises energy alignment and film formation, suppresses ...
Jiaxu Zhang, Bochun Kang, Feng Yan
wiley   +1 more source

Modelling the Acoustic Properties of Baffles Made of Porous and Fibrous Materials

Archives of Acoustics
The research described in the article addresses the problem of measurement, prediction and practical use of the acoustic properties of materials determined in an impedance tube.
Krzysztof KOSAŁA
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Effects of Heat Treatment on Some Physical and Acoustic Properties of Wood Species

BioResources
The objective of the study was to investigate the influence of heat treatment on air-dried density, equilibrium moisture content (EMC), porosity, average surface roughness (Ra), sound transmission loss, and sound absorption coefficient of poplar (Populus
Hüseyin Yeşil, Oğuzhan Uzun, Osman Perçin   +2 more
doaj  

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source