Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted prototype based on existing muon detection technology was used as the methodology during the experiment ...

A large-scale system that prioritizes high availability over extensive synchroniza- tion must make a design trade-off and implement a weaker form of consistency. Conflict-free Replicated Data Types(CRDTs) can enable replicas in the sys- tem to communicate asynchronously and achieve strong eventual consistency. SynQLite aims to implement CRDTs on top of relational databases with its addition of ...

Wrongful removal of tracheostomy tubes is often associated with high drama for all parties involved. With children's repository system being under-documented, there is no consensus on when these tubes should be removed for children at different ages. Measuring the pressure generated by these children can help doctors make better decisions and give the tools for helping medical researchers reach a ...

When patients with type 1 diabetes (T1D) are physically active, they encounter an issue with keeping their blood glucose (BG) stable. Generally, their blood glucose level (BGL) will drop, causing hypoglycaemia which can have fatal consequences. The simple solution is to consume carbohydrates in the form of liquids or food, but during physical activities, it can be difficult to follow their BGL at ...

Users of software applications expect fast response times and high availability. This is despite several applications moving from local devices and into the cloud. A cloud-based application that could function locally will now be unavailable if a network partition occurs. A fundamental challenge in distributed systems is maintaining the right tradeoffs between strong consistency, high availability, ...

Edge computing is an emerging paradigm within the field of distributed computing, aimed at bringing data processing capabilities closer to the data-generating sources to enable real-time processing and reduce latency. However, the lack of representative data in the literature poses a significant challenge for evaluating the effectiveness of new algorithms and techniques developed for this paradigm. A ...

The present work attempts to evaluate the performance of an automotive diesel engine run on waste cooking oil biodiesel (WCO) blend at variable engine speeds. The composition of the blend (B40) used in the study is 40% WCO and 60% diesel by volume and the engine used for the experimentation is a naturally aspirated, watercooled and direct injection type having a compression ratio of 18:1. The ...

The overall objective of the General Data Protection Regulation (GDPR)1 is two-fold: To contribute to the protection of privacy and personal data and to promote the free flow of personal data within the protected area2 through uniform regulations and homogenized interpretations of those regulations.<p> <p>If a controller or processor in the protected area (the exporter) transfers personal data ...

The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this article, we demonstrate the use of a machine learning-aided segmentation and analysis pipeline for the quantification of mitochondrial morphology in ...

Annotated clinical text corpora are essential for machine learning studies that model and predict care processes and disease progression. However, few studies describe the necessary experimental design of the annotation guideline and annotation phases. This makes replication, reuse, and adoption challenging. Using clinical questions about sepsis, we designed a semantic annotation guideline to ...