Results 111 to 120 of about 3,573,456 (297)

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons, Nuria Guillen, Jordi Sarto, Neus Falgàs, Sergi Borrego‐Écija, Diana Esteller‐Gauxax, Magda Castellví, Adrià Tort‐Merino, Agnès Pérez‐Millan, Anna Antonell, Josep M. Augè Fradera, Gerard Piñol, Iolanda Riba, Anna Carnes‐Vendrell, Marta Cullell, Maria Teresa Osuna, Lorena Bajo, Teresa Romero, Eva Bonjoch, Joan Bello, Susana Fernández, Marta Balagué, Isabel Gómez‐Ruiz, Anuncia Boltes, Claustre Pont, Raquel Cuevas, Sara Carrillo, Laura Iglesias, Teresa Maria Casadevall Codina, Lorena Grau Guinea, Fernando Jose Espada, Raquel Sánchez‐Valle, Mircea Balasa, Albert Lladó   +33 more
wiley   +1 more source

Detection Techniques for Sybil Attack in MANETs [PDF]

, 2015
For detection of a Sybil attack, a traditional method defenses against attacks rely on trusted identities provided by a certification authority, but requiring users to present trusted identities run counter to the open membership that underlies the ...
Shamikh Faraz
core   +1 more source

Optimization of Machine Learning Algorithms with Distillation and Quantization for Early Detection of Attacks in Resource-Constrained Systems

Big Data and Cognitive Computing
This study addresses the problem of automatic attack detection targeting Linux-based machines and web applications through the analysis of system logs, with a particular focus on reducing the computational requirements of existing solutions.
Mikhail Rusanov, Mikhail Babenko, Maria Lapina   +2 more
doaj   +1 more source

Application of nonlinear dynamics to ddos attack detection. [PDF]

, 2016
Application of Nonlinear Dynamics to DDoS Attack ...
Lengvinas, Andrius,
core  

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

Autoencoder-Based Poisoning Attack Detection in Graph Recommender Systems

Information
Graph-based Recommender Systems (GRSs) model complex user–item relationships. They offer improved accuracy and personalization in recommendations compared to traditional models.
Quanqiang Zhou, Xi Zhao, Xiaoyue Zhang
doaj   +1 more source

Efficient machine learning for attack detection

, 2020
Detecting and fending off attacks on computer systems is an enduring problem in computer security. In light of a plethora of different threats and the growing automation used by attackers, we are in urgent need of more advanced methods for attack ...
Wressnegger, Christian
core   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing

Mathematics
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a fundamental area of research to safeguard the integrity and functionality of organizations’ digital ecosystems.
Fray L. Becerra-Suarez, Ismael Fernández-Roman, Manuel G. Forero   +2 more
doaj   +1 more source