Results 111 to 120 of about 23,626,077 (284)
Sensitivity-based anonymization of big data
Data Analytics is widely used as a means of extracting useful information from available data. It is only natural that it is increasingly adapted for processing big data.
Shahrestani, Seyed A. (R10567) +2 more
core +1 more source
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo +27 more
wiley +1 more source
Expert Experiences in Anonymizing Personal Data and Its Use as Open Data: Qualitative Insights
Introduction: The effective and meaningful use of anonymized personal data, including open data, is globally significant across various sectors. Enhancing data utilization aims to generate substantial societal benefits and added value through innovations,
Norbert Lichtenauer +7 more
doaj +1 more source
Computational and structure‐guided arginine scanning rewires the DNA‐binding interface of APE1 to create APE1‐Evo, a hyperactive yet specific AP endonuclease. Integrated into the NAPTUNE‐V2.0 cascade, APE1‐Evo enables amplification‐free, multiplex viral RNA sensing for dengue virus and influenza A/B, highlighting a general strategy for engineering ...
Junlan Wang +20 more
wiley +1 more source
Possibilidades e Limites da Anonimização de Dados Pessoais
According to the Brazilian General Data Protection Law ("LGPD"), anonymized data is not considered personal data. When data no longer allows the identification of the data subject, considering the use of reasonable and available technical means at the ...
Henrique Cunha Souza Lima +1 more
doaj
A Bottom-up k-anonymization approach for big data publishing
As governments and other organizations share larger datasets, keeping individual information private has become increasingly difficult to solve. When publishing the data, data anonymization models like k-anonymity and l-diversity are employed to ensure ...
Abderrahmane Saidi +3 more
doaj +1 more source
Estimating the success of re-identifications in incomplete datasets using generative models
Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on the
Luc Rocher +2 more
doaj +1 more source
Endothelin receptor type A (EDNRA) and the Hippo/YAP pathway form a self‐reinforcing loop that sustains triple‐negative breast cancer. EDNRA activates YAP through Gαq/11–Rho/ROCK–LATS signaling, while YAP/TEAD4 reciprocally drives EDNRA transcription.
Zehao Hong +10 more
wiley +1 more source
Accelerator for Trajectory Anonymization Using Map Matching
This study is focused on hardware-based anonymization of location data for addressing privacy concerns while maintaining data utility in applications such as traffic-congestion prediction.
Hiroshi Nakano +2 more
doaj +1 more source
Matrix stiffness softening is identified as a previously underappreciated feature in deep caries. Higher stiffness drives exosome release in dental pulp stem cells through a coordinated mechanism involving PI3K–AKT‐regulated Baiap2 and kinesin‐1, thereby promoting odontogenic differentiation.
Bilun Jin +10 more
wiley +1 more source

