Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Introduction Effective community-based disease management is essential for public health. In low- and middle-income countries, sustainable strategies for timely diagnosis and treatment are a research ...

Abstract: In this article, a time-symmetric sampling method is proposed to eliminate the pulse-width-modulation (PWM) delay in digital PWM (DPWM) inverters. To attain this objective, an analysis of ...

Introduction: Vaccines capable of effectively inducing mucosal immunity, particularly specific IgA antibodies, represent an ideal strategy for preventing infections and the transmission of pathogens ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A crucial issue in the plastic recycling industry is the loss of quality in recycled ...

Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational resources and specialized techniques.

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...