Articles

A comprehensive survey of the current research on using Blockchain and Federated Learning (FL) to enhance Intrusion Detection Systems (IDS) for Industrial Internet of Things (IIoT) networks. It examines the security challenges faced by IIoT systems, the potential threats, and the state-of-the-art approaches that leverage Blockchain and FL to address these issues.

The objective of this study was to assess the neuropsychological characteristics of individuals with early-onset Alzheimer's disease (EOAD), late-onset Alzheimer's disease (LOAD), and very-late-onset Alzheimer's disease (VLOAD). The findings indicate notable neuropsychological variations across different age groups, demonstrating a progressive decline in cognitive function with age rather than distinct clinical presentations.

In Alzheimer's disease research, cerebrospinal fluid (CSF) biomarkers Amyloid beta (Aβ), Tau, and pTau are well-validated, and this study demonstrates that a Z-score based harmonization approach can effectively standardize CSF and amyloid imaging data across multiple cohorts, providing consistent biomarker cut-offs and comparable GWAS results to traditional methods, without introducing spurious findings.

The authors put forward a mathematical model for examining the impact of water, sanitation and hygiene (WASH) services on reducing the transmission of waterborne diseases such as enteric diarrheal disease (EDD). It is found that wastewater and sewage treatment (WST) control has the most significant impact in terms of WASH interventions employed. The findings have could have very important public health potential and tie in strongly with the goals of SDG 6.