open_access
Refine
Year of publication
Document Type
- Article (51) (remove)
Is part of the Bibliography
- no (51) (remove)
Keywords
- DOAJ (7)
- BDI-V (1)
- Befragungsmodus (1)
- Bevölkerungsumfragen (1)
- Bilanzierung (1)
- DEAL (1)
- DFG Publikationskosten (1)
- Data quality assurance (1)
- Data visulization (1)
- Definitionsbeschrieb (1)
- Depressivität (1)
- Distance based (1)
- Eigene Methodik (1)
- Energieinsparung (1)
- Equivalence class sets (1)
- Forena (1)
- Geschlechtsspezifische Verzerrung (1)
- HSD Publikationsfonds (1)
- MIREVI (1)
- Mediation (1)
- Mental health (1)
- Motivation (1)
- Music (1)
- Nullenergiehaus (1)
- Older workers (1)
- Open Archive (1)
- Physical health (1)
- Physical work demands (1)
- Psychosocial work demands (1)
- Self-esteem (1)
- audio signal processing, audio telecommunications (1)
- auralization (1)
- calm technology (1)
- directional mixing console (1)
- machine learning (1)
- motor coordination (1)
- multichannel sound reproduction (1)
- music-listening behavior (1)
- music-selection behavior (1)
- risk taking (1)
- room-related transfer functions (1)
- roomware (1)
- self-enhancement (1)
- sound localization (1)
- sports (1)
- virtual conferencing environment (1)
Department/institution
- Fachbereich - Medien (20)
- Fachbereich - Sozial- & Kulturwissenschaften (13)
- Fachbereich - Maschinenbau und Verfahrenstechnik (11)
- Fachbereich - Architektur (3)
- Fachbereich - Elektro- & Informationstechnik (3)
- Sound and Vibration Engineering (2)
- Creative Media Production and Entertainment Computing (1)
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships
(2021)
Spectral similarity is used as a proxy for structural similarity in many tandem mass spectrometry (MS/MS) based metabolomics analyses such as library matching and molecular networking. Although weaknesses in the relationship between spectral similarity scores and the true structural similarities have been described, little development of alternative scores has been undertaken. Here, we introduce Spec2Vec, a novel spectral similarity score inspired by a natural language processing algorithm-Word2Vec. Spec2Vec learns fragmental relationships within a large set of spectral data to derive abstract spectral embeddings that can be used to assess spectral similarities. Using data derived from GNPS MS/MS libraries including spectra for nearly 13,000 unique molecules, we show how Spec2Vec scores correlate better with structural similarity than cosine-based scores. We demonstrate the advantages of Spec2Vec in library matching and molecular networking. Spec2Vec is computationally more scalable allowing structural analogue searches in large databases within seconds.
Actin droplet machine
(2019)
The actin droplet machine is a computer model of a three-dimensional network of actin bundles developed in a droplet of a physiological solution, which implements mappings of sets of binary strings. The actin bundle network is conductive to travelling excitations, i.e. impulses. The machine is interfaced with an arbitrary selected set of k electrodes through which stimuli, binary strings of length k represented by impulses generated on the electrodes, are applied and responses are recorded. The responses are recorded in a form of impulses and then converted to binary strings. The machine's state is a binary string of length k: if there is an impulse recorded on the ith electrode, there is a '1' in the ith position of the string, and '0' otherwise. We present a design of the machine and analyse its state transition graphs. We envisage that actin droplet machines could form an elementary processor of future massive parallel computers made from biopolymers.
Actin filaments are conductive to ionic currents, mechanical and voltage solitons. These travelling localisations can be utilised to generate computing circuits from actin networks. The propagation of localisations on a single actin filament is experimentally unfeasible to control. Therefore, we consider excitation waves propagating on bundles of actin filaments. In computational experiments with a two-dimensional slice of an actin bundle network we show that by using an arbitrary arrangement of electrodes, it is possible to implement two-inputs-one-output circuits.
The rock material pentlandite with the composition Fe4.5Ni4.5S8 was synthesized via high temperature synthesis from the elements. The structure and composition of the material was characterized via powder X-ray diffraction (PXRD), Mössbauer spectroscopy (MB), scanning electron microscopy (SEM), differential scanning calorimetry (DSC) and energy dispersive X-ray spectroscopy (EDX). Two preparation methods of pentlandite bulk electrodes are presented. In the first approach a piece of synthetic pentlandite rock is directly contacted via a wire ferrule. The second approach utilizes pentlandite pellets, pressed from finely ground powder, which is immobilized in a Teflon casing. Both electrodes, whilst being prepared by an additive-free method, reveal high durability during electrocatalytic conversions in comparison to common drop-coating methods. We herein showcase the striking performance of such electrodes to accomplish the hydrogen evolution reaction (HER) and present a standardized method to evaluate the electrocatalytic performance by electrochemical and gas chromatographic methods. Furthermore, we report stability tests via potentiostatic methods at an overpotential of 0.6 V to explore the material limitations of the electrodes during electrolysis under industrial relevant conditions.