Polyunsaturated fatty acid-derived lipid mediator networks characterize COVID-19 severity and risk for critical illness

Posted by dbos Rockefeller

Kavli Affiliate: Martin Lindquist | Authors: Maria Papadaki, Eleftherios Pavlos, Marc Dubourdeau, Vincent Bailif, Kamal Badirou, Ioanna-Evdokia Galani, Dimitris Papelis, Natalia Kamperi, Vasiliki Triantafyllia, Lena Siouti, Maria Salagianni, Maria Manioudaki, Nikolaos Paschalidis, Giannis Vatsellas, Evangelia Koukaki, Vasiliki Rapti, Dimitris Thanos, Nikoletta Rovina, Garyfallia Poulakou, Aurelie Cobat, Jean-Laurent Casanova, Constantin Tamvakopoulos and Evangelos Andreakos | Summary: […]


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Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale

Posted by dbos Hopkins

Kavli Affiliate: Martin Lindquist | Authors: Farzad V. Farahani, Mary Beth Nebel, Tor Wager and Martin A. Lindquist | Summary: Recent gains in functional magnetic resonance imaging (fMRI) studies have been driven by increasingly sophisticated statistical and computational techniques and the ability to capture brain data at finer spatial and temporal resolution. These advances allow […]


Continue.. Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale

Spin-dependent exotic interactions

Posted by klaurent Tokyo

Kavli Affiliate: Yevgeny Stadnik | Summary:Novel interactions beyond the four known fundamental forces in nature (electromagnetic, gravitational, strong and weak interactions), may arise due to "new physics" beyond the standard model, manifesting as a "fifth force". This review is focused on spin-dependent fifth forces mediated by exotic bosons such as spin-0 axions and axionlike particles […]


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Spin-dependent exotic interactions

Posted by dbos Tokyo

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Lei Cong, Wei Ji, Pavel Fadeev, Filip Ficek, Min Jiang | Summary: Novel interactions beyond the four known fundamental forces in nature (electromagnetic, gravitational, strong and weak interactions), may arise due to "new physics" beyond the standard model, manifesting as a "fifth force". This review is […]


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Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Fanjie Xu, Wentao Guo, Feng Wang, Lin Yao, Hongshuai Wang | Summary: The study of structure-spectrum relationships is essential for spectral interpretation, impacting structural elucidation and material design. Predicting spectra from molecular structures is challenging due to their complex relationships. Herein, we introduce NMRNet, a deep learning […]


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EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Zedong XingXiarun Chen, Jia Liu, yongqiang He, Weiping Wen | Summary: Deep speech classification tasks, mainly including keyword spotting and speaker verification, play a crucial role in speech-based human-computer interaction. Recently, the security of these technologies has been demonstrated to be vulnerable to backdoor attacks. […]


Continue.. EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models

EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Wenhan Yao, Zedong XingXiarun Chen, Jia Liu, yongqiang He, Weiping Wen | Summary: Deep speech classification tasks, mainly including keyword spotting and speaker verification, play a crucial role in speech-based human-computer interaction. Recently, the security of these technologies has been demonstrated to be vulnerable to backdoor attacks. […]


Continue.. EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models