Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Felix Johann"'
Autor:
Sanusi Cob, Majid Kadir, Rene Forsberg, Wim Simons, Marc Naeije, Ami Hassan Din, Husaini Yacob, Asyran Amat, Daud Mahdzur, Zuhairy Ibrahim, Kenidi Aziz, Norehan Yaacob, Felix Johann, Tim Jensen, Hergeir Teitsson, Shahrum Ses, Anim Yahaya, Soeb Nordin, Fadhil Majid
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 6179 (2022)
The Peninsular Malaysia Geodetic Vertical Datum 2000 (PMGVD2000) inherited several deficiencies due to offsets between local datums used, levelling error propagations, land subsidence, sea level rise, and sea level slopes along the southern half of t
Externí odkaz:
https://doaj.org/article/f309077ac4274579a59bf606be557617
Autor:
Vahid Rostami, Thomas Rost, Felix Johannes Schmitt, Sacha Jennifer van Albada, Alexa Riehle, Martin Paul Nawrot
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract When preparing a movement, we often rely on partial or incomplete information, which can decrement task performance. In behaving monkeys we show that the degree of cued target information is reflected in both, neural variability in motor cor
Externí odkaz:
https://doaj.org/article/4e4f951a61b44b65809437737ba10b84
Publikováno v:
International Association of Geodesy Symposia
In recent years, it was shown that the quality of strapdown airborne gravimetry using a navigation-grade strapdown inertial measurement unit (IMU) could be on par with “classical” airborne gravimeters as the 2-axis stabilized LaCoste and Romberg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e1232f1b75c780cb654735d42ac91a4
https://doi.org/10.1007/1345_2020_127
https://doi.org/10.1007/1345_2020_127
Publikováno v:
Frontiers in Physiology, Vol 14 (2024)
In well-established first-order conditioning experiments, the concurrence of a sensory cue with reinforcement forms an association, allowing the cue to predict future reinforcement. In the insect mushroom body, a brain region central to learning and
Externí odkaz:
https://doaj.org/article/e74fb55701994ac99cd1fe88390441a2
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Spiking neural networks (SNNs) represent the state-of-the-art approach to the biologically realistic modeling of nervous system function. The systematic calibration for multiple free model parameters is necessary to achieve robust network function an
Externí odkaz:
https://doaj.org/article/1533e22e56034f42b71ff9b06b0cc394
Publikováno v:
BMJ Open, Vol 12, Iss 12 (2022)
Objectives To explore when and why undergraduate medical students drop out of longitudinal extracurricular general practice (GP) tracks and to describe their future career plans.Design Cross-sectional online survey and descriptive analysis of routine
Externí odkaz:
https://doaj.org/article/ad53d99af60b40c7937302514194b46a
Publikováno v:
Frontiers in Forests and Global Change, Vol 4 (2021)
Sanitation felling is considered as the main measure to protect managed forests from damage due to outbreaks of the European Spruce Bark Beetle. In this study, we investigate the effectiveness of sanitation felling on stopping the spread of a bark be
Externí odkaz:
https://doaj.org/article/87a93431cc88483b9e8e139c3c448f26
Autor:
Benedikt Mutsch, Felix Johannes Preiss, Teresa Dagenbach, Heike Petra Karbstein, Christian J. Kähler
Publikováno v:
ChemEngineering, Vol 5, Iss 2, p 31 (2021)
Emulsion formation is of great interest in the chemical and food industry and droplet breakup is the key process. Droplet breakup in a quiet or laminar flow is well understood, however, actual in-dustrial processes are always in the turbulent flow re
Externí odkaz:
https://doaj.org/article/f71ddab7ea394b14a6bc68f8d2aa9ea2
Publikováno v:
ChemEngineering, Vol 5, Iss 1, p 7 (2021)
Properties of emulsions such as stability, viscosity or color can be influenced by the droplet size distribution. High-pressure homogenization (HPH) is the method of choice for emulsions with a low to medium viscosity with a target mean droplet diame
Externí odkaz:
https://doaj.org/article/d3007a027522417f9d4f437d1851ca03