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Mall voting simulation in Cebu City on Aug. 19

Mall voting simulation in Cebu City on Aug. 19 ....

Sangguniang Kabataan , Omar Sharif Mamalinta , Commission On Elections Comelec , Cebu City , Cebu Province , Robinsons Galleria Cebu , North Reclamation Area , Carcar City ,

Military Training Technology Report 2023

The latest military training Technology Report compiled by Shephard. ....

Giles Ebbutt , Military Training , Efence Report 2023 , Market Report , Shephard Media , Defence Insight , Efence Market Intelligence ,

From time crystals to wormholes: When is a quantum simulation real?

Physicists are using quantum computers to conjure various exotic phenomena and are claiming that their creations are truly real. The work is forcing us to ask challenging questions about the nature of quantum reality ....

Maria Spiropulu , California Institute Of Technology , California Institute , Quantum Gravity , Quantum Computing ,

"Deep Statistical Models with Application to Environmental Data" by Quan Vu

When analyzing environmental data, constructing a realistic statistical model is important, not only to fully characterize the physical phenomena, but also to provide valid and useful predictions. Gaussian process models are amongst the most popular tools used for this purpose. However, many assumptions are usually made when using Gaussian processes, such as stationarity of the covariance function. There are several approaches to construct nonstationary spatial and spatio-temporal Gaussian processes, including the deformation approach. In the deformation approach, the geographical domain is warped into a new domain, on which the Gaussian process is modeled to be stationary. One of the main challenges with this approach is how to construct a deformation function that is complicated enough to adequately capture the nonstationarity in the process, but simple enough to facilitate statistical inference and prediction. In this thesis, by using ideas from deep learning, we construct deformati ....

Monte Carlo , Gaussian Process , Spatial Statistics ,

"Solidification behavior of high nitrogen stainless steels and establis" by Tong Wang

Duplex stainless steel (DSS) has excellent corrosion resistance and mechanical properties due to its dual-phase structure. The solidification process is the key to determining the structure of materials, and an in-depth investigation of solidification can help us better understand the properties of materials. The melting and solidification processes of S32101 DSS were investigated using high temperature confocal microscopy (HTCM). ....

Phase Transformation ,