In the early period of process industries, it is an intractable challenge to build an accurate
and robust forecasting model using the collected scared samples. The information derived …

From the perspective of energy security, this paper focuses on country risk forecasting for
major oil exporting countries. Due to the two main characteristics of country risk of oil exporting …

Various mathematical models have been commonly used in time series analysis and
forecasting. In these processes, academic researchers and business practitioners often come up …

A novel robust nonlinear partial least square model is proposed to handle the nonlinearity
and collinearity problems of process data. The proposed model integrates a nonlinear …

In this paper, a new cost estimation method based on parallel Monte Carlo simulation and
market investigation for the chemical engineering construction project is proposed to consider …

Case-based reasoning (CBR) is one of the main forecasting methods in business forecasting,
which performs well in prediction and holds the ability of giving explanations for the results…

Inhibition of the bromodomain of the transcriptional regulator CBP/P300 is an especially
interesting new therapeutic approach in oncology. We recently disclosed in vivo chemical tool 1 (…

Brain functional network analysis has shown great potential in understanding brain functions
and also in identifying biomarkers for brain diseases, such as Alzheimer's disease (AD) …

Background Chronic hepatitis B (CHB) and fatty liver (FL) are common, natural history data
on concurrent FL and CHB (FL-CHB) are limited. This study aimed to evaluate the effect of FL …

Background and Aims Survival data among patients with hepatitis C virus (HCV)‐related
hepatocellular carcinoma (HCC) after achieving sustained virologic response (SVR) with …