Results 61 to 70 of about 25,464 (256)

Nanoscale Optical Inhomogeneities From Compositional Segregation Within Individual GaN‐on‐Si Quantum Wells

Advanced Science, EarlyView.
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung, Tara P. Mishra, Zackaria Mahfoud, Thomas E. Gage, Jianguo Wen, Katherine P. Rice, Isabelle Martin, Li Zhang, Govindo J. Syaranamual, Stephen J. Pennycook, Silvija Gradečak, Pieremanuele Canepa, Michel Bosman   +12 more
wiley   +1 more source

Flame Suppression in Lithium‐Ion Batteries During Thermal Runaway Through Solvent Design Considering the Volatility–Flammability Relationship

Advanced Science, EarlyView.
An asymmetric sulfonate solvent forms thermally stable interphases and demonstrates non‐flammability, suppressing heat accumulation for safer, high‐performance lithium‐ion batteries. ABSTRACT An asymmetric sulfonate‐based linear solvent, 2,2,2‐trifluoromethyl mesylate (FMS), is designed and used as the primary solvent in liquid electrolytes to enhance ...
Chi‐Yeong Hong, Joon Ha Chang, Ho Yeon Jang, Jooeun Byun, Chae Rim Lee, Jeongmin Kim, Oh B. Chae, Youngjin Kim, Jun Ho Song, Chihyun Hwang, Seoin Back, Ki Jae Kim, Hyun‐seung Kim   +12 more
wiley   +1 more source

Discriminative frequency filter banks learning with neural networks

EURASIP Journal on Audio, Speech, and Music Processing, 2019
Filter banks on spectrums play an important role in many audio applications. Traditionally, the filters are linearly distributed on perceptual frequency scale such as Mel scale.
Teng Zhang, Ji Wu
doaj   +1 more source

Modular Metamaterials for Adaptable MRI Signal Control: Combining Dipole Array With a New Hexagon‐Based Artificial Dielectrics

Advanced Science, EarlyView.
A flexible, hexagonally packed artificial dielectric providing a wide range of effective permittivities (εr ≈ 30–1400) without lumped elements was developed for clinical and ultra‐high‐field MRI. Combined with modular passive‐dipole arrays, the system enables adaptable RF field shaping through electric‐ and magnetic‐dipole tuning.
Santosh Kumar Maurya, Ilan Goldberg, Rita Schmidt   +2 more
wiley   +1 more source

An Engineered HR1‐Stem Helix‐HR2 Trimeric Platform for Developing Broad‐Spectrum Coronavirus Vaccines

Advanced Science, EarlyView.
Sun et al. report a self‐assembling trimeric subunit vaccine platform termed RHS, which integrates the JN.1 receptor‐binding domain (RBD) with the heptad repeat 1 (HR1), stem helix (SH), and heptad repeat 2 (HR2) regions. The SARS‐CoV‐2 RHS vaccine elicits variant‐reactive RBD‐specific antibodies and cross‐reactive SH‐specific antibodies against ...
Xikui Sun, Junhao Fan, Xiaolu Xie, Yuting Shi, Xiaoqing Liu, Tiefeng Xu, Sidi Yang, Keda Shi, Chengshu Xie, Shixiong Li, Siwen Chen, Ruoxi Cai, Ping He, Yuzhen Ye, Tao Chen, Xiancai Ma, Chunmei Li, Jingyou Yu, Deyin Guo   +18 more
wiley   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods.
Sergio A. Falcón-López, Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor Vargas   +3 more
openaire   +2 more sources

FOXP1 Knockdown Reprograms Th9 CAR‐T Cells to Overcome Antigen Escape

Advanced Science, EarlyView.
FOXP1 knockdown enhances Th9 CAR‐T cell function by promoting IL‐9 production, effector activation, and reduced exhaustion. Reprogrammed Th9 CAR‐T cells strengthen direct tumor killing and activate endogenous antitumor immunity through dendritic cells and CD8+ T cells, thereby suppressing both antigen‐positive and antigen‐loss tumor growth and ...
Yihan Zhu, Xingwei Xie, Xiaohuan Wu, Suidong Ouyang, Yang Zhou, Kang Wen, Yutong Zhong, Yuyang Chen, Handuo Wang, Yuan Gao, Ling Jiang, Hui Li, Wenli Zhao, Abai Xu, Enguang Bi   +14 more
wiley   +1 more source

Detection of Laryngeal Pathologies from Voice using EMD-based Mel-Spectrograms and Scalograms with AlexNet

Measurement Science Review
In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techniques is presented.
Cherif Sofiane, Kaddour Abdelhafid, Benkada Abdelmoudjib, Karoui Said   +3 more
doaj   +1 more source

Hybrid Log-Mel and HPSS-Aided Convolutional Neural Network for Underwater Very-Low-Frequency Remote Passive Sonar Detection

Journal of Marine Science and Engineering
Very-low-frequency (VLF) passive sonar detection is one of the core technologies for maritime surveillance, although its performance is often severely affected by strong impulsive ocean ambient noise interference. This paper, for the first time, proposes
Haitao Dong, Lijian Yang, Yuan Liu, Siyuan Li   +3 more
doaj   +1 more source

The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition

, 2017
Speech recognition is of an important contribution in promoting new technologies in human computer interaction. Today, there is a growing need to employ speech technology in daily life and business activities. However, speech recognition is a challenging task that requires different stages before obtaining the desired output.
Al-Anzi, Fawaz S., Dia AbuZeina
openaire   +2 more sources