MicroRNA (miRNA), a type of non‐coding RNA, is known to suppress the expression of target genes and there is an increasing number of studies analyzing various miRNAs in cancer. In an integrated analysis of miRNA and gene expressions, it is often ...

Statistical models should accurately reflect analysts’ domain knowledge about variables and their relationships. While recent tools let analysts express these assumptions and use them to produce a resulting statistical model, it remains unclear what ...

A well-structured study underscores the significance of a research idea. However, designing an effective user study can be daunting for novice Human-Robot Interaction (HRI) researchers. "Workshop Your Study Design" seeks to address this gap in knowledge ...

The article presents an analytical approach based on intelligent statistical processing of different medical data to the diagnosis and treatment of sphenoid sinus diseases in elderly patients. With the increasing average lifespan and the ...

Alzheimer’s disease (AD) is the predominant aetiology of dementia among the elderly population, accounting for about 60–70% of all instances of cognitive decline. Diffusion tensor imaging (DTI) is a contemporary methodology that enables the cartography ...

Random forest has achieved good results in the prediction task, but due to the complexity of travel mode and the uncertainty of random forest, the prediction accuracy of travel mode is low. To improve the accuracy of prediction, this paper proposes a ...

Green Infrastructure (GI) has garnered increasing attention from various regions due to its potential to mitigate urban heat island (UHI), which has been exacerbated by global climate change. This study focuses on the central area of Fuzhou city, ...

There is abundant observational data in the software engineering domain, whereas running large-scale controlled experiments is often practically impossible. Thus, most empirical studies can only report statistical correlations—instead of potentially more ...

Over the past decade, adversarial examples have demonstrated an enhancing ability to fool neural networks. However, most adversarial examples can be easily detected, especially under statistical analysis. Ensuring undetectability is crucial for ...

Calcium imaging is a powerful technique used to study cellular activity by monitoring changes in intracellular calcium ion concentrations. In this study, we analyzed and visualized neural activity data using signal processing and statistical analysis ...

Fetal death, infant morbidity and mortality are generally caused by the presence of congenital anomalies. By performing a fetal morphology scan, the sonographer can detect their presence and have a thorough conversation with the soon-to-be ...

To scale the size of Information Retrieval collections, crowdsourcing has become a common way to collect relevance judgments at scale. Crowdsourcing experiments usually employ 100–10,000 workers, but such a number is often decided in a heuristic way. The ...

In the past few years there has been a growing desire to provide more built in functionality to protect user communications from eavesdropping. An example of this is DNS over HTTPS (DoH) which can be used to protect user privacy, confidentiality and ...

Literary compositions are very often analyzed using various constituent units like words, phrases, sentences, and paragraphs. Unlike the conventional research that focuses on the aforementioned constituent units, our task is a statistical effort carried ...

Internet‐wide traffic redirection attacks have been reported for long, and are mainly caused by Border Gateway Protocol route hijacking. Such attacks can be quite harmful, impairing access to popular Internet sites for long periods. This work ...

This work addresses machine learning techniques for detecting Internet‐wide traffic redirection attacks, leveraging a distributed monitoring infrastructure of probes that measure the round trip time to Internet sites under surveillance. Our results show ...

Multiverse analysis—a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel—promises to improve transparency and reproducibility. Although recent tools help analysts specify multiverse analyses, ...

A well-designed and evaluated study plays an essential role in highlighting the impact and contribution of a research idea. However, novice Human-Robot Interaction (HRI) researchers often lack the experience and know-how to devise an effective study. ...

Digital experiments can be used in CSedu to test hypotheses about interventions and conditions' efficacy (or inefficacy). This workshop will discuss and deconstruct the design process and analysis for various experiments conducted in CS1. E.g., ...

In this article, we present fundamental design flaws of CaptchaStar. We also present a full analysis using the BASECASS methodology that employs machine learning techniques. By means of this methodology, we find an attack that bypasses CaptchaStar with ...

In this paper, a new substitution-diffusion type chaos-based cryptosystem is proposed, which can encrypt greyscale images having arbitrary resolution. In substitution, image pixels are permuted using a modified form of the discretised 2-D Baker map, ...