Results 131 to 140 of about 3,573,456 (297)
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Exploit detection based on illegal control flow transfers identification
In order to deal with exploit attacks such as APT,an approach was proposed to detect exploits based on illegal control flow transfers identification.Both static and dynamic analysis methods were performed to construct the CFSO (control flow safety ...
Ming-hua WANG +2 more
doaj
An Ensemble-Based Method for DDoS Attack Detection in Internet of Things Network
This paper proposes an ensemble-based framework for Distributed Denial of Service (DDoS) attack detection in internet of thing (IoT) network. A combination of k-NN, MLP, and DNN classifiers are used to make an ensemble framework.
Kazeem B. Adedeji +2 more
doaj +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
Denial of Service (DOS) Attack Detection on MQTT Protocol Using the Random Forest Method
The Message Queuing Telemetry Transport (MQTT) protocol serves as a critical lightweight communication infrastructure for Internet of Things (IoT) systems.
Kharisma Monika Dian Pertiwi +2 more
doaj +1 more source
RedHerring Attack: Testing the Reliability of Attack Detection
In response to adversarial text attacks, attack detection models have been proposed and shown to successfully identify text modified by adversaries. Attack detection models can be leveraged to provide an additional check for NLP models and give signals for human input. However, the reliability of these models has not yet been thoroughly explored. Thus,
openaire +3 more sources
DNS Amplification Attack Detection Using Passive DNS Analysis
This thesis is focused on the analysis and detection of DNS Amplification attack which is type of the DoS attack. Introduction of this thesis is focused on fundamental theories involving computer networks, DNS and DoS attacks.
Míšaný, Daniel
core
Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni +19 more
wiley +1 more source
Temporal Windowed and Internal Feature (TWIF) Transformer for Attack Detection in Robotics
Ensuring cybersecurity in robotic systems is critically important, as successful attacks can not only disrupt operations but also cause significant physical damage and safety risks, distinguishing robotics from traditional Information Technology ...
Esra Nergis Yolacan, Hande Cavsi Zaim
doaj +1 more source
Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
wiley +1 more source

