1,853 research outputs found
From Strangeness Enhancement to Quark-Gluon Plasma Discovery
This is a short survey of signatures and characteristics of the quark-gluon
plasma in the light of experimental results that have been obtained over the
past three decades. In particular, we present an in-depth discussion of the
strangeness observable, including a chronology of the experimental effort to
detect QGP at CERN-SPS, BNL-RHIC, and CERN-LHC.Comment: 30 pages, about 20 figures; Dedicated to our mentor Walter Greiner;
to be published in the memorial volume edited by Peter O. Hes
Solution of the Dirac equation for strong external fields
The 1s bound state of superheavy atoms and molecules reaches a binding energy of -2mc2 at Z≈169. It is shown that the K shell is still localized in r space even beyond this critical proton number and that it has a width Γ (several keV large) which is a positron escape width for ionized K shells. The suggestion is made that this effect can be observed in the collision of very heavy ions (superheavy molecules) during the collision
Der BĂĽrger Pfarrer MĂĽller in Amrischweil an den BĂĽrger Regierungsstatthalter Sauter in Frauenfeld
Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance
Advancements in technology are steering attention toward creating comfortable
and acceptable driving characteristics in autonomous vehicles. Ensuring a safe
and comfortable ride experience is vital for the widespread adoption of
autonomous vehicles, as mismatches in driving styles between humans and
autonomous systems can impact passenger confidence. Current driving functions
have fixed parameters, and there is no universally agreed-upon driving style
for autonomous vehicles. Integrating driving style preferences into automated
vehicles may enhance acceptance and reduce uncertainty, expediting their
adoption. A controlled vehicle study (N = 62) was conducted with a variety of
German participants to identify the individual lateral driving behavior of
human drivers, specifically emphasizing rural roads. We introduce novel
indicators for assessing stationary and transient curve negotiation, directly
applicable in developing personalized lateral driving functions. To assess the
predictability of these indicators using self-reports, we introduce the
MDSI-DE, the German version of the Multidimensional Driving Style Inventory.
The correlation analysis between MDSI factor scores and proposed indicators
showed modest but significant associations, primarily with acceleration and
jerk statistics while the in-depth lateral driving behavior turned out to be
highly driver-heterogeneous. The dataset including the anonymized
socio-demographics and questionnaire responses, the raw vehicle measurements
including labels, and the derived driving behavior indicators are publicly
available at
https://www.kaggle.com/datasets/jhaselberger/spodb-subject-study-of-lateral-vehicle-guidance.Comment: 33 pages, 6 figures, under revie
Perspective on code submission and automated evaluation platforms for university teaching
We present a perspective on platforms for code submission and automated
evaluation in the context of university teaching. Due to the COVID-19 pandemic,
such platforms have become an essential asset for remote courses and a
reasonable standard for structured code submission concerning increasing
numbers of students in computer sciences. Utilizing automated code evaluation
techniques exhibits notable positive impacts for both students and teachers in
terms of quality and scalability. We identified relevant technical and
non-technical requirements for such platforms in terms of practical
applicability and secure code submission environments. Furthermore, a survey
among students was conducted to obtain empirical data on general perception. We
conclude that submission and automated evaluation involves continuous
maintenance yet lowers the required workload for teachers and provides better
evaluation transparency for students.Comment: Source code: https://github.com/frankkramer-lab/MISITcms-app.
Manuscript accepted for publication in the following Conference - Jorunal:
MedInfo 2021, Virtual Conference, October 2-4, 2021 - IOS Pres
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