Public Articles
Styrofoam Boat Race
The multifaceted nature of self-generation effects: Independent and interactive effects of actions, predictability, and delay on sensory processing and memory encoding of sounds.
and 1 collaborator
Finding reviewer suggestions for multi-author papers
UniSG: Unifying entity-component-systems, 3D & learning scenegraphs with GNNs for generative AI
and 5 collaborators
We envision a no-code solution that generates new nodes, edges and features reflecting the creation of 3D models, scenes and even new behavioral steps through GNNs. To this end, we propose a novel Universal Scenegraph (UniSG), that unifies entity-component-systems, 3D and learning scenegraphs with GNNs to empower generative AI, and facilitate the creation of 3D scenes with embedded behavior, alleviating existing bottlenecks.
DiasMorph: a dataset of morphological traits and images of Central European diaspores
and 3 collaborators
A importância das correias flexíveis na transmissão de energia mecânica
Phenotypic divergence in an island bee population: Applying geometric morphometrics to discriminate population-level variation in wing venation
and 2 collaborators
Antimicrobial or Antibacterial coatings? Do they matter!
and 1 collaborator
Long-term variations of global radiation in Central Europe 1950-2020 and their influence on terrestrial surface air warming
and 1 collaborator
Mining Theorems in Compressed Sensing for NMR Gold
and 1 collaborator
The language model of artificial inteligence chatGPT - a tool of qualitative analysis of texts
Negative Influence of the hunger state on rule-observance behavior in mice
and 2 collaborators
Quantum Computing & HPC: Compilation Stack Similarities
and 1 collaborator
Morphological overdispersion supports the role of competition in the community assembly of dragonflies: drivers and spatio-seasonal variation
and 5 collaborators
An EMI-Reduction design with Charge Pump Circuit and Hybrid Modulation Technology for a Motor Driver Applications in 0.18um BCD process
and 3 collaborators
The Cream of the Crop: Biology, Breeding and Applications of Cannabis sativa
and 9 collaborators
Microplastiche: nuovi contaminanti emergenti nelle acque reflue
Embedding videos, music, and other rich media
Insert -> Rich Media
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The Dust Planet Clarified: Modelling Martian MY29 Atmospheric Data using the Dynamic-Atmosphere Energy-Transport (DAET) Climate Model
and 1 collaborator
A Bayesian model of records
and 1 collaborator
Glutamate spillover provides robust all-or-none behavior of plateau potentials in multicompartment models of striatal projection neurons
and 3 collaborators
L'odore del progresso: soluzioni moderne per il controllo degli odori nelle centrali di trattamento delle acque reflue
Determining lowest excitation energy using the Franck-Hertz experiment
and 1 collaborator
Abstract
The lowest excitation energy of the elements Neon, Mercury, and Argon was determined by analyzing the fundamental properties of the signal structure in the Franck-Hertz experiment. In order to accurately determine the lowest excitation energy a new method proposed in \cite{Rapior_2006} was employed. The main idea is that the spacings between the minima in the Franck Hertz curve increase linearly due to the additional acceleration over the mean free path. Therefore a linear fit was applied to graphs of spacings ΔE versus minimum order n. The fit estimated the lowest excitation energies of Neon (19.54 ± 1.48eV), Mercury (4.72 ± .25eV), and Argon (11.36 ± .38eV) accurately within experimental uncertainty.