Results 81 to 90 of about 9,826,920 (308)
Comparing Threshold Selection Methods for Network Anomaly Detection
The use of unsupervised machine learning models for anomaly detection is a common thing nowadays. While many research papers focus on improving and testing these models, there is a lack of those that deal with threshold selection, which is an important ...
Adrian Komadina +3 more
doaj +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano +5 more
wiley +1 more source
As the development of the Internet and social media has led to pervasive data collection and usage practices, consumers’ privacy concerns have increasingly grown stronger.
Jasmin Mahmoodi +6 more
doaj +1 more source
Information Privacy Awareness (IPA): A Review of the Use, Definition and Measurement of IPA
Despite the acknowledged importance of awareness in the information privacy (IP) literature, we lack a consistent and thorough understanding of information privacy awareness (IPA).
John Correia, Deborah R. Compeau
semanticscholar +1 more source
ABSTRACT Objective Recurrent high‐grade gliomas have a poor prognosis and limited therapeutic options. This study aimed to evaluate the safety and efficacy of SYHA1813, a dual inhibitor of VEGFR and CSF1R, in patients with recurrent high‐grade gliomas.
Zhuang Kang +16 more
wiley +1 more source
Modelling the intended use of Facebook privacy settings
Background: The ineffective use of Facebook privacy settings has become commonplace. This has made it possible for corporates not only to harvest personal information but also to persuade or influence user behaviour in a manner that does not always ...
Kimberley Read, Karl van der Schyff
doaj +1 more source
Chronic Pain in Parkinson’s Disease: Prevalence, Sex Differences, Regional Anatomy and Comorbidities
Chronic pain affected 66.2% of 10,631 individuals with Parkinson's disease, with higher prevalence and severity in females. Pain most often involved the buttocks, lower back, neck, and knees, and was linked to depression, sleep disorders, and osteoarthritis.
Natalia S. Ogonowski +13 more
wiley +1 more source
Genetic Modifiers of Parkinson's Disease: A Case–Control Study
ABSTRACT Objective To examine the associations of LRRK2 p.G2019S, GBA1 p.N409S, polygenic risk scores (PRS), and APOE E4 on PD penetrance, risk, and symptoms. Methods We conducted a US‐based observational case–control study using data from the 23andMe Inc. and Fox Insight Genetic Substudy (FIGS) databases.
Matthew J. Kmiecik +15 more
wiley +1 more source
ABSTRACT Objective To quantify the number and volume of whole brain perivascular spaces (PVS) using a detection and segmentation algorithm in participants with multiple sclerosis (MS) and patients with disorders mimicking MS known to potentially influence PVS, such as cerebrovascular disease.
Elle M. Levit +5 more
wiley +1 more source
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source

