Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Karl Arnold"'
Autor:
Frederik Kotz, Patrick Risch, Karl Arnold, Semih Sevim, Josep Puigmartí-Luis, Alexander Quick, Michael Thiel, Andrei Hrynevich, Paul D. Dalton, Dorothea Helmer, Bastian E. Rapp
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Fused silica glass has excellent optical properties, chemical and thermal stability and hardness, but its microstructuring for miniaturized applications has proven difficult. Here the authors demonstrate obtainment of precise arbitrary three dimensio
Externí odkaz:
https://doaj.org/article/343beb84b8964d7da09413a080dc8aca
Publikováno v:
In Finance Research Letters June 2019 29:280-284
Publikováno v:
Finance Research Letters. 29:280-284
Equity research is gaining popularity in crowd-sourced information sharing platforms. This study analyses SP and investigates whether investment banks’ rating consensus or the sentiment of single-ticker articles published by Seeking Alpha contribut
Autor:
Clayton K. Chandler, Jani Radebaugh, John H. McBride, Thomas H. Morris, Clement Narteau, Karl Arnold, Ralph D. Lorenz, Jason W. Barnes, Alex Hayes, Sébastien Rodriguez, Tammy Rittenour
Publikováno v:
Aeolian Research. 57:100813
Publikováno v:
Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence.
3D printing has changed the way we make things. However, high-resolution 3D printing like microstereolithography is mainly done using polymeric (mostly acrylic or epoxy based) resins. High purity glasses, like fused silica glass, are the materials of
Autor:
Werner Bauer, Dieter Schild, Nico Keller, Dorothea Helmer, Tobias M. Nargang, Frederik Kotz, Bastian E. Rapp, Karl Arnold, Kai Sachsenheimer, Christiane Richter
Publikováno v:
Nature. 544(7650)
Using stereolithography 3D printers, a silica nanocomposite is shaped and then fused to produce non-porous, very smooth, highly transparent fused silica glass components. Fused silica glass has long been known for its excellent optical properties, ye
Publikováno v:
MUM
Music recommendation systems are well explored and commonly used but are normally based on manually tagged parameters and simple similarity calculation. Our project proposes a recommendation system based on emotional computing, automatic classificati