What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Generative AI can augment chemometrics by automating curation, connecting analytical outputs to textual knowledge, and ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

Among the most significant findings were evidence that Texans believe their quality of life in the Lone Star State is starting to fray, the economic outlook for future generations is at a concerning ...

Prediction markets also face a structural issue at long horizons. Studies show that prices for distant events often drift ...

Roughly 3 in 10 employees are frequent users of AI in their jobs, meaning they use it daily or a few times a week.

Abstract: In practical applications, sampled-data systems are often affected by unforeseen physical constraints that may cause deviations in the sampling interval from the expected value and result in ...

Space is big. Disturbingly big. And most of the time, it goes about its business without us paying much attention. But every ...

Objective While sustained remission is the treatment goal for rheumatoid arthritis (RA), its long-term remission remains ...

Multiple system atrophy (MSA) is an adult-onset, rapidly progressive neurodegenerative disorder characterised by the aggregation of α-synuclein in oligodendroglial cytoplasmatic inclusions.1 ...