Results 101 to 110 of about 61,658 (310)

Plant and Salamander Inspired Network Attack Detection and Data Recovery Model. [PDF]

Sensors (Basel), 2023
Sharma RK, Issac B, Xin Q, Gadekallu TR, Nath K.   +4 more
europepmc   +1 more source

IV Thrombolysis Facilitates Interventional Reperfusion in Non‐Cardioembolic but Not Cardioembolic Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Intravenous thrombolysis (IVT) before thrombectomy for ischemic stroke may alter clot structure and procedural performance. We investigated how IVT relates to thrombectomy metrics across stroke etiologies. Methods We performed a time‐to‐event analysis of consecutive patients with anterior circulation large vessel occlusion (acLVO ...
Annahita Sedghi, Daniel P. O. Kaiser, Martin Arndt, Norma J. Diel, Erik Simon, Witold H. Polanski, Volker Puetz, Hagen B. Huttner, Timo Siepmann   +8 more
wiley   +1 more source

Network Anomaly Detection Using Federated Learning and Transfer Learning

, 2020
Since deep neural networks can learn data representation from training data automatically, deep learning methods are widely used in the network anomaly detection.
Jian Teng, Guo, Qianling, Ying Zhao, Qianling Guo, Di Wu, Chen, Junjun, Teng, Jian, Wu, Di, Junjun Chen, Zhao, Ying   +9 more
core   +1 more source

DDosTC: A Transformer-Based Network Attack Detection Hybrid Mechanism in SDN. [PDF]

Sensors (Basel), 2021
Wang H, Li W.
europepmc   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza, Arun Meyyazhagan, Eliseo Picchi, Gustavo Ribas, Ingrid Faber, Ryosuke Miyamoto, Preethi Basavaraju, Paolo Eusebi, Haripriya Kuchi Bhotla, Mario Stasi, Fabrizio Gaudiello, Francesco Patti, Filippo Maria Santorelli, Marcondes Cavalcante França Jr, José Luiz Pedroso, Orlando Graziani Povoas Barsottini, Hélio Afonso Ghizoni Teive, Peter Henry St George‐Hyslop, Toshitaka Kawarai, Antonio Orlacchio   +19 more
wiley   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Improving the Evaluation of Network Anomaly Detection Using a Data Fusion Approach

, 2013
Any future extensions or updates will be published as a part of WAND's ongoing research projects: http://research.wand.net.nzCurrently, the evaluation of network anomaly detection methods is often not repeatable. It is difficult to ascertain if different
Löf, Andreas
core  

6. 08102 Working Group – Requirements for Network Monitoring from an IDS Perspective

, 2008
Detection of malicious traffic is based on its input data, the information that is co-ming from network-based monitoring systems. Best detection rates would only be possible by monitoring all data transferred over all network lines in a distributed net ...
Dressler, Falko, Rieck, Konrad, Holz, Thorsten, Braun, Lothar, Kruegel, Christopher, Kirda, Engin, Sterbenz, James, Limmer, Tobias, Kohlrausch, Jan   +8 more
core   +1 more source

Approach of detecting low-rate DoS attack based on combined features

Tongxin xuebao, 2017
LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big ...
Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG   +3 more
doaj   +2 more sources

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source