Assemblymember Mike Fong, D-Alhambra, recognized 14 local teachers at the third annual Outstanding Educators Award, praising ...

Results of a systematic review and meta-analysis showed that many multivariable models for predicting GCA have methodological flaws.

A multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure. A comparison ...

The 1818 Advanced College Credit Program partners with 86 high schools across 10 states. View course offerings and contact information at each participating 1818 high school. Every school has its own ...

For decades, companies feared being on the wrong side of U.S. sanctions. That’s not always true anymore. By Aaron Krolik What kind of power can the United States exert to punish other countries for ...

Supplementary texts: "Introduction to Real Analysis" by R. G. Bartle and D. R. Sherbert (2011), ISBN-13: 978-0471433316; "Basic Analysis I, Volume 1" by Jiri Lebl, "The Real Analysis Lifesaver: All ...

Abstract: Forecasting electricity generation from renewable resources is crucial for the efficient planning and operation of power systems. The development of forecasting models based on local ...

Abstract: In multivariate time series (MTS) analysis, data loss is a critical issue that degrades analytical model performance and impairs downstream tasks such as structural health monitoring (SHM) ...

Background The evidence on associations between ultra-processed foods (UPF) and lung cancer risk is limited and inconsistent. Research question Are UPF associated with an increased risk of lung cancer ...

Numerous factors are working to dissuade Russia from directly challenging NATO, but once Moscow reconstitutes its military, one scenario stands out as a plausible path to a NATO-Russia war: The United ...

Guo, Y., Wu, Z., Zheng, Z., & Li, X. (2024). An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations ...

The core idea is to adapt the powerful capabilities of pre-trained visual MAEs to IMTS data via self-supervised latent space mask reconstruction for enhanced performance and few-shot capability. The ...