Results 91 to 100 of about 64,907 (298)

Efficacy of Intermittent Theta‐Burst Stimulation for Prolonged Disorders of Consciousness: A Prospective, Randomized, Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu, Jun Hu, Qianqian Wu, Min Wu, Yamei Yu, Hangcheng Li, Jian Gao, Jingqi Li, Nai Ding, Jie Yu, Benyan Luo   +10 more
wiley   +1 more source

Trajectory differential privacy protection mechanism based on prediction and sliding window

Tongxin xuebao, 2020
To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation ...
Ayong YE, Lingyu MENG, Ziwen ZHAO, Yiqing DIAO, Jiaomei ZHANG   +4 more
doaj   +2 more sources

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

Privacy-Preserving IDS for In-Vehicle Networks with Local Differential Privacy

, 2020
Part 2: Selected Student PapersInternational audienceIntrusion Detection Systems (IDS) for In-Vehicle Networks routinely collect and transfer data about attacks to remote servers.
Michael Kreutzer, Simo, H., Hervais Simo, Kreutzer, M., Peter Franke, Franke, P., Simo, Hervais, Franke, Peter, Kreutzer, Michael   +8 more
core   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

Privacy Auditing in Differential Private Machine Learning: The Current Trends

Applied Sciences
Differential privacy has recently gained prominence, especially in the context of private machine learning. While the definition of differential privacy makes it possible to provably limit the amount of information leaked by an algorithm, practical ...
Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols   +3 more
doaj   +1 more source

Local Differential Privacy Mechanisms for Frequency Estimation with Application to Mobility Data [PDF]

openDifferential Privacy is a powerful mathematical tool that is applied to data allowing aggregate statistics to be released while protecting each individual’s privacy.
FINNEGAN, AVA LOUISE
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Reconstruction Attacks on Aggressive Relaxations of Differential Privacy

The Journal of Privacy and Confidentiality
Differential privacy is a widely accepted formal privacy definition that allows aggregate information about a dataset to be released while controlling privacy leakage for individuals whose records appear in the data.
Prottay Protivash, John Durrell, Daniel Kifer, Zeyu Ding, Danfeng Zhang   +4 more
doaj   +1 more source

Metric Differential Privacy on the Special Orthogonal Group SO(3)

Differential privacy (DP) is an important framework to provide strong theoretical guarantees on the privacy and utility of released data. Since its introduction in 2006, DP has been applied to various data types and domains.
Anna Katharina Hildebrandt, Andreas Hildebrandt, Elmar Schömer   +2 more
core   +1 more source