Results 61 to 70 of about 129,793 (292)
Cerebral small vessel disease burden is associated with poststroke depressive symptoms: A 15-month prospective study [PDF]
, 2018 Objective: All types of cerebral small vessel disease (SVD) markers including lacune, white matter hyperintensities (WMH), cerebral microbleeds, and perivascular spaces were found to be associated with poststroke depressive symptoms (PDS).
De-Feng Wang +8 more
core +3 more sources
The American Mathematical Monthly, 2012 The singular value decomposition (SVD) is a popular matrix factorization that has been used widely in applications ever since an efficient algorithm for its computation was developed in the 1970s. In recent years, the SVD has become even more prominent due to a surge in applications and increased computational memory and speed.
Martin, C, Porter, M
openaire +2 more sources
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022 With the tremendous success of Graph Convolutional Networks (GCNs), they have been widely applied to recommender systems and have shown promising performance. However, most GCN-based methods rigorously stick to a common GCN learning paradigm and suffer from two limitations: (1) the limited scalability due to the high computational cost and slow ...
Peng, Shaowen +2 more
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Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Robust image hiding algorithm for secure multimodal biometrics
网络与信息安全学报, 2016 In order to solve the bio-template secure transmission in multimode biometric authentication,a novel al-gorithm was presented that hiding face watermarks in fingerprint carrier image to improve security and recognition accuracy.RST invariant embedding ...
Yu-qiang CAO, Wei-guo GONG, Sen BAI
doaj +1 more source
International Journal on Cybernetics & Informatics, 2016 It proposes an approach for audio watermarking using the singular value decomposition (SVD) mathematical technique. After transforming it into a 2-D format the encrypted image is embedded in the singular values of the audio signal. After watermark embedding, the audio signal is transformed again into a 1-D format.
Veena Gopan, Mary Joseph
openaire +1 more source
Advanced Science, EarlyView.Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Sequence‐Encoded Frustration Directs the Formation of Abridged G‐Quadruplex Architectures
Angewandte Chemie, EarlyView.Programmable frustration reshapes the free‐energy surface (FES) of guanine‐quadruplex (G4) folding, stabilizing an abridged G4 and a G‐triplex intermediate. ABSTRACT Frustration—competing interactions that cannot be simultaneously optimized—shapes energy landscapes in proteins and soft matter, but has rarely been exploited as a programmable design ...
Yuncheng Qian +6 more
wiley +2 more sources
RELATIONSHIP BETWEEN GEOGRAPH Y AND ISLA MIC THOUGHT
Interações, 2013 Neste artigo o autor utiliza a geografia como parâmetro por meio do qual ele estuda a vida cultural, religiosa e social dos muçulmanos. O deserto da Arábia, o berço do islamismo, tornou-se o fator determinante para a cultura dos primeiros muçulmanos ...
Pushpa Anbu Svd
doaj
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
Advanced Science, EarlyView.A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source