The Judgement of the Court of Justice in LU. A missed opportunity to address certain aspects of the Framework Decision on financial penalties

Case analysis of LU on financial penalties (C-136/20

Uniqueness of asymptotic cones of complete noncompact shrinking gradient Ricci solitons with Ricci curvature decay

We discuss an elementary consequence of the works of (1) Brett Kotschwar and Lu Wang and (2) Ovidiu Munteanu and Jiaping Wang

Terbium-activated heavy scintillating glasses

Tb-activated scintillating glasses with high Ln2O3 (Ln=Gd, Y, Lu) concentration up to 40mol% have been prepared. The effects of Ln3+ ions on the density, thermal properties, transmission and luminescence properties under both UV and X-ray excitation have been investigated. The glasses containing Gd2O3 or Lu2O3 exhibit a high density of more than 6.0g/cm3. Energy transfer from Gd3+ to Tb3+ takes place in Gd-containing glass and as a result the Gd-containing glass shows a light yield 2.5 times higher than the Y-or Lu-containing glass. The Effect of the substitution of fluorine for oxygen on the optical properties was also investigated

We Want to Hear from You

Honorable Mention is the official newsletter for the Honors Program of Liberty University. It invites current and past LU Honors students to share their stories in it

XIYUAN ENTERTAINMENT COMPLEX

Invited competition entry for an entertainment complex in Beijing P.R.China [first prize, followed by stage C proposal] Client: Beijing Xinjing Yihe Real Estate Development Ltd Design: marcosandmarjan with Jia Lu Competition stage: with Jia Lu and Steve Pike Collaborators: Nat Keast, Shaun Siu Chong, James Pike, Sirichai Bunchua Renderings: Mark Exon, Samuel White, Kenny Tsui, Tamsin Green, Jessica Lee) Model: Sirichai Bunchua, Keith Watson, Andy Shawn Engineering: Beijing Design Institut

Probabilistic Image Colorization

We develop a probabilistic technique for colorizing grayscale natural images. In light of the intrinsic uncertainty of this task, the proposed probabilistic framework has numerous desirable properties. In particular, our model is able to produce multiple plausible and vivid colorizations for a given grayscale image and is one of the first colorization models to provide a proper stochastic sampling scheme. Moreover, our training procedure is supported by a rigorous theoretical framework that does not require any ad hoc heuristics and allows for efficient modeling and learning of the joint pixel color distribution. We demonstrate strong quantitative and qualitative experimental results on the CIFAR-10 dataset and the challenging ILSVRC 2012 dataset