Results 121 to 130 of about 1,230,009 (250)

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model

Brain Informatics
Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states.
Yihang Dong, Changhong Jing, Mufti Mahmud, Michael Kwok-Po Ng, Shuqiang Wang   +4 more
doaj   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

A Case of Multiple Mitochondrial Dysfunctions Syndrome 1 and Review of the Literature

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Multiple mitochondrial dysfunctions syndrome 1 (MMDS1, MIM #605711) due to NFU1 gene defects is an ultra‐rare autosomal recessive inborn error of metabolism associated with reduced function of NFU1 iron–sulfur cluster (ISC) scaffold protein.
Charles R. DiFalco, Aaron Williams, Claudia Soler‐Alfonso, Emily Waskow, Elizabeth Mizerik, Fernando Scaglia, Chaya N. Murali   +6 more
wiley   +1 more source

TF‐MEET: A Transferable Fusion Multi‐Band Transformer for Cross‐Session EEG Decoding

CAAI Transactions on Intelligence Technology
Electroencephalography (EEG) is a widely used neuroimaging technique for decoding brain states. Transformer is gaining attention in EEG signal decoding due to its powerful ability to capture global features.
Qilong Yuan, Enze Shi, Di Zhu, Xiaoshan Zhang, Kui Zhao, Dingwen Zhang, Tianming Liu, Shu Zhang   +7 more
doaj   +1 more source

PUS7 Deficiency: Phenotypical Expansion of PUS7‐Related Neurodevelopmental Disorders

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Pathogenic variants in PUS7, encoding pseudouridine synthase 7, cause a rare neurodevelopmental disorder marked by intellectual disability, microcephaly, short stature, and behavioral disturbances. Since the first report in 2018, only 16 patients have been described.
Alice Muda, Barbara Belmessieri, Patrizia Accorsi, Jessica Galli, Edoardo Errichiello, Lucio Giordano   +5 more
wiley   +1 more source

An improved feature extraction algorithm for EEG-based driving fatigue recognition

Scientific Reports
Fatigue driving detection is essential to prevent traffic accidents and ensure driving safety. Electroencephalogram (EEG) signals serving as the key physiological indicators of brain activity are widely used to assess the driving fatigue.
Xiaozhong Geng, Weixin Hu, Qipeng Liang, Cheng Chen, Xintong Zhang, Ping Yu, Jie Bao   +6 more
doaj   +1 more source