Results 201 to 210 of about 7,706,916 (368)

Coacervates Composed of Low‐Molecular‐Weight Compounds– Molecular Design, Stimuli Responsiveness, Confined Reaction

Advanced Biology, EarlyView.
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley   +1 more source

Performance of nonlinear speech enhancement using phase space reconstruction [PDF]

, 2003
Michael T. Johnson, A.C. Lindgren, Richard J. Povinelli, Xiaolong Yuan   +3 more
openalex   +1 more source

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source

Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods. [PDF]

Trends Hear, 2023
Zheng C, Zhang H, Liu W, Luo X, Li A, Li X, Moore BCJ.   +6 more
europepmc   +1 more source

The Regulation of Trace Metal Elements in Cancer Ferroptosis

Advanced Biology, EarlyView.
The induction of ferroptosis inhibits tumor growth, enhances anticancer efficacy, and overcomes drug resistance. Recent evidence shows nonferrous metal elements play a role in ferroptosis. This review focuses on how trace metals regulate ferroptosis processes like iron accumulation, lipid peroxidation, and antioxidant defense.
Xiaoyan Wang, Yuanyuan Xue, Lei Chang, Xuena Zhu, Wenjun Liu, Tingbo Liang   +5 more
wiley   +1 more source

Speech enhancement method based on multi-domain fusion and neural architecture search

Tongxin xuebao
In order to further improve the self-learning and noise reduction ability of speech enhancement model, a speech enhancement method based on multi-domain fusion and neural architecture search was proposed.The multi-spatial domain mapping and fusion ...
Rui ZHANG, Pengyun ZHANG, Chaoli SUN
doaj   +2 more sources

Improved Transformer-Based Dual-Path Network with Amplitude and Complex Domain Feature Fusion for Speech Enhancement. [PDF]

Entropy (Basel), 2023
Ye M, Wan H.
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Spatio-Temporal Features Representation Using Recurrent Capsules for Monaural Speech Enhancement

IEEE Access
Single-channel speech enhancement is important for modern communication systems and has received a lot of attention. A convolutional neural network (CNN) successfully learns feature representations from speech spectrograms but loses spatial information ...
Jawad Ali, Nasir Saleem, Sami Bourouis, Eatedal Alabdulkreem, Hela El Mannai, Sami Dhahbi   +5 more
doaj   +1 more source

End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement. [PDF]

Sensors (Basel), 2022
Ullah R, Wuttisittikulkij L, Chaudhary S, Parnianifard A, Shah S, Ibrar M, Wahab FE.   +6 more
europepmc   +1 more source