For the development of effective air pollution control strategies, it is crucial to identify the sources that are the principal contributors to air pollution and estimate how much each source ...

Recently, efforts to develop multivariate models of plant species richness have been extended to include systems where trees play important roles as overstory elements mediating the influences of ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...

Extending the Eaves et al Markov model for genetically informative data to the multivariate case is described. At the time of writing, this model has not yet been implemented in a software script, so ...

Role of CYP3A4 phenotyping by midazolam clearance in predicting irinotecan pharmacokinetics This is an ASCO Meeting Abstract from the 2004 ASCO Annual Meeting. This abstract does not include a full ...

Phase III Trial of Fluorouracil, Interferon Alfa-2b, and Cisplatin Versus Methotrexate, Vinblastine, Doxorubicin, and Cisplatin in Metastatic or Unresectable Urothelial Cancer PURPOSE: To develop a ...

Qlik has announced general availability of Multivariate Time Series (MVTS) in Qlik Predict, bringing GPU-accelerated, explainable forecasting into the heart of Qlik Cloud. First shown at Qlik ...

Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...