The neglected tropical diseases (NTDs) are characterized by their tendency to cluster within groups of people, typically the poorest and most marginalized.Despite this, measures of clustering, such as within-group correlation or between-group heterogeneity, are rarely reported from community-based studies of NTD risk.We describe a general contextua
Conventional personality Makeup assessment methods depend on subjective input, while game-based AI predictive methods offer a dynamic and objective framework.However, training these models requires large and labeled datasets, which are challenging to obtain from real players with diverse personality traits.In this paper, we propose a multi-agent sy
Abstract Background Cancer is one of the major health issues worldwide.An increasing number of cancer patients are offered treatment with surgery, chemotherapy and radiotherapy.Traditional Chinese medicine (TCM) is one of the most common complementary therapies offered to cancer patients in Taiwan.We designed a randomized, double-blind, placebo-con
In this study, we respond to the criticism that the value-at-risk (VaR) measure fails during financial crises and is only applicable during periods without asset price bubbles.We propose a new dating mechanism that is based on the work of Phillips (2015) to date-stamp the origination and termination of the asset price bubbles.Our method relaxed the