Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima+9 more
wiley +1 more source
The All-Seeing Eye: A Massive-Multi-Sensor Zero-Configuration Intrusion Detection System for Web Applications [PDF]
Timing attacks are a challenge for current intrusion detection solutions. Timing attacks are dangerous for web applications because they may leak information about side channel vulnerabilities. This paper presents a massive-multi-sensor zero-configuration Intrusion Detection System that is especially good at detecting timing attacks.
arxiv
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
The clinical spectrum of SMA‐PME and in vitro normalization of its cellular ceramide profile
Abstract Objective The objectives of this study were to define the clinical and biochemical spectrum of spinal muscular atrophy with progressive myoclonic epilepsy (SMA‐PME) and to determine if aberrant cellular ceramide accumulation could be normalized by enzyme replacement.
Michelle M. Lee+16 more
wiley +1 more source
Attribute Weighting with Adaptive NBTree for Reducing False Positives in Intrusion Detection [PDF]
In this paper, we introduce new learning algorithms for reducing false positives in intrusion detection. It is based on decision tree-based attribute weighting with adaptive na\"ive Bayesian tree, which not only reduce the false positives (FP) at acceptable level, but also scale up the detection rates (DR) for different types of network intrusions. Due
arxiv
Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset
This paper considers the use of Synthetic Minority Oversampling Technique (SMOTE), Principal Component Analysis (PCA), and Ensemble Feature Selection (EFS) to improve the performance of AdaBoost-based Intrusion Detection System (IDS) on the latest and ...
Arif Yulianto+2 more
semanticscholar +1 more source
PENGUJIAN SISTEM KEAMANAN VOIP DENGAN INTRUSION DETECTION SYSTEM DARI PENYADAPAN
TEST VOIP SECURITY SYSTEM WITH INTRUSION DETECTION SYSTEM OF TAPPING [PDF]
ABSTRAKSI: Sistem telekomunikasi Voice Over IP (VOIP) merupakan sistem komunikasi dengan menggunakan jaringan intranet atau internet. Sistem ini memudahkan pengguna dalam berkomunikasi tanpa harus takut dengan lamanya pemakaian karena sifatnya gratis ...
Fajar Fatahillah
core
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
COVID‐19 and the risk of Alzheimer's disease, amyotrophic lateral sclerosis, and multiple sclerosis
Abstract Background The coronavirus disease 2019 (COVID‐19) pandemic has had an unprecedented impact on the healthcare system, economy, and society. Studies have reported that COVID‐19 may cause various neurologic symptoms, including cognitive impairment.
Hanyu Zhang, Zengyuan Zhou
wiley +1 more source
Deteksi Misuse pada Intrusion Detection System dengan metode Support Vector Machines [PDF]
Intrusion Detection System digunakan untuk melindungi sistem, menganalisa serta memprediksi kebiasaan aktivitas komputer . Aktivitas tersebut terbagi menjadi normal dan ancaman.
Faris Alfa Mauludy
core