cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
GALLUMI: A Galaxy Luminosity Function Pipeline for Cosmology and Astrophysics
Creators: name: Sabti, Nashwan
name: Muñoz, Julian B.
name: Blas, Diego
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Observations of high-redshift galaxies have provided us with a rich tool to study the physics at play during the epoch of reionisation. The luminosity function (LF) of these objects is an indirect tracer of the complex processes that govern galaxy formation, including those of the first dark-matter structures. In this work, we present an extensive analysis of the UV galaxy LF at high redshifts to extract cosmological and astrophysical parameters. We provide a number of phenomenological approaches in modelling the UV LF and take into account various sources of uncertainties and systematics in our analysis, including cosmic variance, dust extinction, scattering in the halo-galaxy connection, and the Alcock-Paczyński effect. Using UV LF measurements from the Hubble Space Telescope together with external data on the matter density, we derive the large-scale matter clustering amplitude to be $σ_8=0.76^{+0.12}_{-0.14}$, after marginalising over the unknown astrophysical parameters. We find that with current data this result is only weakly sensitive to our choice of astrophysical modelling, as well as the calibration of the underlying halo mass function. As a cross check, we run our analysis pipeline with mock data from the IllustrisTNG hydrodynamical simulations and find consistent results with their input cosmology. In addition, we perform a simple forecast for future space telescopes, where an improvement of roughly 30% upon our current result is expected. Finally, we obtain constraints on astrophysical parameters and the halo-galaxy connection for the models considered here. All methods discussed in this work are implemented in the form of a versatile likelihood code, GALLUMI, which we make public.
description: 25 pages, 12 figures - v3: Updated funding information, matches version accepted for publication in PRD
Operator product expansion coefficients from the nonperturbative functional renormalization group
Creators: name: Rose, Félix
name: Pagani, Carlo
name: Dupuis, Nicolas
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Using the nonperturbative functional renormalization group (FRG) within the Blaizot-Méndez-Galain-Wschebor approximation, we compute the operator product expansion (OPE) coefficient $c_{112}$ associated with the operators $\mathcal{O}_1\simφ$ and $\mathcal{O}_2\simφ^2$ in the three-dimensional $\mathrm{O}(N)$ universality class and in the Ising universality class ($N=1$) in dimensions $2 \leq d \leq 4$. When available, exact results and estimates from the conformal bootstrap and Monte-Carlo simulations compare extremely well to our results, while FRG is able to provide values across the whole range of $d$ and $N$ considered.
description: 11 pages, 4 figures. Final version
Photonic kernel machine learning for ultrafast spectral analysis
Creators: name: Denis, Zakari
name: Favero, Ivan
name: Ciuti, Cristiano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Other Condensed Matter (cond-mat.other)
subject: Applied Physics (physics.app-ph)
subject: Computational Physics (physics.comp-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We introduce photonic kernel machines, a scheme for ultrafast spectral analysis of noisy radio-frequency signals from single-shot optical intensity measurements. The approach combines the versatility of machine learning and the speed of photonic hardware to reach unprecedented throughput rates. We theoretically describe some of the key underlying principles, and then numerically illustrate the reached performances on a photonic lattice-based implementation. We apply the technique both to picosecond pulsed radio-frequency signals, on energy-spectral-density estimation and a shape classification task, and to continuous signals, on a frequency tracking task. The presented optical computing scheme is resilient to noise while requiring minimal control on the photonic-lattice parameters, making it readily implementable in realistic state-of-the-art photonic platforms.
description: 19 pages, 11 figures. Final version accepted in PRApplied
Spin conservation of cosmic filaments
Creators: name: Sheng, Ming-Jie
name: Li, Sijia
name: Yu, Hao-Ran
name: Wang, Wei
name: Wang, Peng
name: Kang, Xi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Cosmic filaments are the largest collapsing structure in the Universe. Recently both observations and simulations inferred that cosmic filaments have coherent angular momenta (spins). Here we use filament finders to identify the filamentary structures in cosmological simulations and study their physical origins, which are well described by the primordial tidal torque of their Lagrangian counterpart regions -- protofilaments. This initial angular momenta statistically preserve their directions to low redshifts. We further show that a spin reconstruction method can predict the spins of filaments and potentially relate their spins to the initial conditions of the Universe. This correlation provides a new way of constraining and obtaining additional information of the initial perturbations of the Universe.
description: 7 pages, 6 figures. Matches the accepted version in Physical Review D
The algebraic classification of nilpotent commutative algebras
Creators: name: Jumaniyozov, Doston
name: Kaygorodov, Ivan
name: Khudoyberdiyev, Abror
Publisher: name: arXiv
Year: 2021
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: This paper is devoted to the complete algebraic classification of complex $5$-dimensional nilpotent commutative algebras. Our method of classification is based on the standard method of classification of central extensions of smaller nilpotent commutative algebras and the recently obtained classification of complex $5$-dimensional nilpotent commutative $\mathfrak{CD}$-algebras.
description: arXiv admin note: substantial text overlap with arXiv:2109.00483; text overlap with arXiv:2106.00336, arXiv:2004.03598
AeroStat: NASA Giovanni Tool for Statistical Intercomparison of Aerosols
Creators: name: Wei, Jennifer C.
name: Leptoukh, Gregory
name: Lynnes, Chris
name: Albayrak, Arif
name: Petrenko, Maksym
name: Hegde, Mahabaleshwara
name: Petrov, Leonid
name: Da Silva, Daniel
name: Ichoku, Charles
Publisher: name: NASA
Year: 2011
Subjects: Earth Resources And Remote Sensing

description: American Geophysical Union 2011 Fall Meeting, San Francisco, CA, United States, December 5 - 9, 2011
title: High Energy Density in Azobenzene-based Materials for Photo-Thermal Batteries via Controlled Polymer Architecture and Polymer-Solvent Interactions
Creators: name: Jeong, Seung Pyo
name: Renna, Lawrence A.
name: Boyle, Connor J.
name: Kwak, Hyunwook S.
name: Harder, Edward
name: Damm, Wolfgang
name: Venkataraman, Dhandapani
Publisher: name: University of Massachusetts Amherst
Year: 2017
Subjects: subject: Chemistry
subject: Materials Chemistry

description: Energy densities of ~510 J/g (max: 698 J/g) have been achieved in azobenzene-based syndiotactic-rich poly(methacrylate) polymers. The processing solvent and polymer-solvent interactions are important to achieve morphologically optimal structures for high-energy density materials. This work shows that morphological changes of solid-state syndiotactic polymers, driven by different solvent processings play an important role in controlling the activation energy of Z-E isomerization as well as the shape of the DSC exotherm. Thus, this study shows the crucial role of processing solvents and thin film structure in achieving higher energy densities.
Note regarding the method/analysis
Creators: name: Lifshin, Uri
Publisher: name: OSF Registries
Year: 2020

description: We eventually decided not to include the two-items measuring explicit support for diversity since those might not have a clear pattern of effect (after the human rights threat manipulation more right wingers might want it more, but more left wingers might want it less). So for this measure we would actually predict an interaction. To keep with our original hypothesis we decided to not include this measure and only keep the DV measuring distributions of right vs. left wingers, expecting that our manipulation would increase preference for left wingers in the population and Knesset.
Betriebliches Gesundheitsmanagement in der Schweiz: Monitoring-Ergebnisse 2020. Arbeitspapier 54
Creators: name: Füllemann, Désirée
name: Schönholzer, Tanja
name: Flükiger, Nicole
name: Nauser, Ottilia
name: Jenny, Gregor J.
name: Jensen, Regina
name: Krause, Andreas
Publisher: name: Gesundheitsförderung Schweiz
Year: 2021
Subjects: BGM

description: Repräsentative Erhebung 2020 und Trends seit 2016: Das BGM-Monitoring von Gesundheitsförderung Schweiz ist eine periodische Erhebung ausgewählter Indikatoren und liefert repräsentative Informationen über die Verbreitung von betrieblichem Gesundheitsmanagement (BGM) in Betrieben in der Schweiz. Im vorliegenden Arbeitspapier werden die Ergebnisse der zweiten repräsentativen Erhebung im Jahr 2020 dargestellt. Durch den Vergleich der beiden Befra-gungen 2016 und 2020 werden Trends (Veränderungen) in der Verbreitung von BGM abgebildet. Befragt wurde eine repräsentative Stichprobe von 791 Industrie- und Dienstleistungsbetrieben mit mindestens 50 Mitarbeitenden in der deutsch-, französisch- und italienischsprachigen Schweiz.
On a Quantum Weyl Curvature Hypothesis
Creators: name: Kiefer, Claus
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Roger Penrose's Weyl curvature hypothesis states that the Weyl curvature is small at past singularities, but not at future singularities. We review the motivations for this conjecture and present estimates for the entropy of our Universe. We then extend this hypothesis to the quantum regime by demanding that the initial state of primordial quantum fluctuations be the adiabatic vacuum in a (quasi-) de~Sitter space. We finally attempt a justification of this quantum version from a fundamental theory of quantum gravity and speculate on its consequences in the case of a classically recollapsing universe.
description: 13 pages, Invited contribution for a special topical collection celebrating Sir Roger Penrose's Nobel Prize, ed. by I. Fuentes and H. Ulbricht, final version
Electroweak phase transition and gravitational waves in a two-component dark matter model
Creators: name: Mohamadnejad, Ahmad
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate an extension of the Standard Model (SM) with two candidates for dark matter (DM). One of them is a real scalar field and the other is an Abelian gauge field. Except for these two, there is another beyond SM field which has unit charge under a dark $ U_{D}(1) $ gauge symmetry. The model is classically scale invariant and the electroweak symmetry breaks because of the loop effects. Although SM is extended with a new dark symmetry and three fields, because of scale invariance, the parameter space is strictly restricted compared to other two-component DM models. We study both DM phenomenology and electroweak phase transition and show that there are some points in the parameter space of the model consistent with DM relic density and direct detection constraints, while at the same time can lead to first order electroweak phase transition. The gravitational waves produced during the phase transition could be probed by future space-based interferometers such as Laser Interferometer Space Antenna (LISA) and Big Bang Observer (BBO).
description: 30 pages, 11 figures
Additional file 2 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 2. The composition of fasting serum NEFAs profile in normal and HSD mice at 20
QMC study of the chiral Heisenberg Gross-Neveu universality class
Creators: name: Otsuka, Yuichi
name: Seki, Kazuhiro
name: Sorella, Sandro
name: Yunoki, Seiji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We investigate a quantum criticality of an antiferromagnetic phase transition in the Hubbard model on a square lattice with a $d$-wave pairing field by large-scale auxiliary-field quantum Monte Carlo simulations. Since the $d$-wave pairing filed induces Dirac cones in the non-interacting single-particle spectrum, the quantum criticality should correspond to the chiral Heisenberg universality class in terms of the Gross-Neveu theory, which is the same as those expected in the Hubbard model on the honeycomb lattice, despite the unit cells being different (e.g., they contain one and two sites, respectively). We show that both the two phase transitions, expected to occur on the square and on the honeycomb lattices, indeed have the same quantum criticality. We also argue that details of the models, i.e., the way of counting the total number $N$ of fermion components and the anisotropy of the Dirac cones, do not change the critical exponents.
description: 5 pages, 3 figures, proceeding for the XXXII IUPAP Conference on Computational Physics (CCP2021)
D3.1 Demonstration site at STC – system design
Creators: name: Paitazoglou, Reuven
name: Schmidt, Carsten
name: Hamacher, Tim
Publisher: name: Zenodo
Year: 2023

description: This report (deliverable D3.1) will focuses on the results gained from analyzing the requirements of thedemo site in Germany (Weissenborn), planning the optimal integration of the heat upgrade technologyinto the industrial process (paper production) and providing a basic engineering for the installation. Firstengineering results undertaken among the involved partners will be presented and discussed.
D3.1 Demonstration site at STC – system design
Creators: name: Paitazoglou, Reuven
name: Alonso, laura
name: Corrales, Jose
Publisher: name: Zenodo
Year: 2023

description: This report (deliverable D3.1) will focuses on the results gained from analyzing the requirements of thedemo site in Germany (Weissenborn), planning the optimal integration of the heat upgrade technologyinto the industrial process (paper production) and providing a basic engineering for the installation. Firstengineering results undertaken among the involved partners will be presented and discussed.
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
Creators: name: Karabelas, Elias
name: Longobardi, Stefano
name: Fuchsberger, Jana
name: Razeghi, Orod
name: Rodero, Cristobal
name: Strocchi, Marina
name: Rajani, Ronak
name: Haase, Gundolf
name: Plank, Gernot
name: Niederer, Steven
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Emerging Technologies (cs.ET)
subject: Numerical Analysis (math.NA)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: G.1.8; J.3; I.2.m

description: Computational Fluid Dynamics (CFD) is used to assist in designing artificial valves and planning procedures, focusing on local flow features. However, assessing the impact on overall cardiovascular function or predicting longer-term outcomes may require more comprehensive whole heart CFD models. Fitting such models to patient data requires numerous computationally expensive simulations, and depends on specific clinical measurements to constrain model parameters, hampering clinical adoption. Surrogate models can help to accelerate the fitting process while accounting for the added uncertainty. We create a validated patient-specific four-chamber heart CFD model based on the Navier-Stokes-Brinkman (NSB) equations and test Gaussian Process Emulators (GPEs) as a surrogate model for performing a variance-based global sensitivity analysis (GSA). GSA identified preload as the dominant driver of flow in both the right and left side of the heart, respectively. Left-right differences were seen in terms of vascular outflow resistances, with pulmonary artery resistance having a much larger impact on flow than aortic resistance. Our results suggest that GPEs can be used to identify parameters in personalized whole heart CFD models, and highlight the importance of accurate preload measurements.
description: 8 pages plus 15 pages supplement, 6 figures, 3 tables, submitted to IEEE Transactions on Biomedical Engineering
title: Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety-Critical Events
title: Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
titleType: AlternativeTitle
Creators: name: Abu Tami, Mohammad
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
name: Glaser, Sebastien
name: Rakotonirainy, Andry
Publisher: name: MDPI
Year: 2024
Subjects: in-context learning (ICL)
multimodal large language models (MLLMs)
object-level question–answers (QAs)
safety-critical events
self-ensemble learning

description: Traditional approaches to safety event analysis in autonomous systems have relied on complex machine and deep learning models and extensive datasets for high accuracy and reliability. However, the emerge of multimodal large language models (MLLMs) offers a novel approach by integrating textual, visual, and audio modalities. Our framework leverages the logical and visual reasoning power of MLLMs, directing their output through object-level question–answer (QA) prompts to ensure accurate, reliable, and actionable insights for investigating safety-critical event detection and analysis. By incorporating models like Gemini-Pro-Vision 1.5, we aim to automate safety-critical event detection and analysis along with mitigating common issues such as hallucinations in MLLM outputs. The results demonstrate the framework’s potential in different in-context learning (ICT) settings such as zero-shot and few-shot learning methods. Furthermore, we investigate other settings such as self-ensemble learning and a varying number of frames. The results show that a few-shot learning model consistently outperformed other learning models, achieving the highest overall accuracy of about 79%. The comparative analysis with previous studies on visual reasoning revealed that previous models showed moderate performance in driving safety tasks, while our proposed model significantly outperformed them. To the best of our knowledge, our proposed MLLM model stands out as the first of its kind, capable of handling multiple tasks for each safety-critical event. It can identify risky scenarios, classify diverse scenes, determine car directions, categorize agents, and recommend the appropriate actions, setting a new standard in safety-critical event management. This study shows the significance of MLLMs in advancing the analysis of naturalistic driving videos to improve safety-critical event detection and understanding the interactions in complex environments.
Additional file 1 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 1. The composition of the diet for mice
Additional file 3 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 3. Body weight and serum analysis in normal and HSD mice at 20 weeks.
Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
Creators: name: Mamaghani, Milad Tatar
name: Hong, Yi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: Emerging Technologies (cs.ET)
subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Unmanned aerial vehicles (UAVs) are envisioned to be extensively employed for assisting wireless communications in Internet of Things (IoT) applications. On the other hand, terahertz (THz) enabled intelligent reflecting surface (IRS) is expected to be one of the core enabling technologies for forthcoming beyond-5G wireless communications that promise a broad range of data-demand applications. In this paper, we propose a UAV-mounted IRS (UIRS) communication system over THz bands for confidential data dissemination from an access point (AP) towards multiple ground user equipments (UEs) in IoT networks. Specifically, the AP intends to send data to the scheduled UE, while unscheduled UEs may pose potential adversaries. To protect information messages and the privacy of the scheduled UE, we aim to devise an energy-efficient multi-UAV covert communication scheme, where the UIRS is for reliable data transmissions, and an extra UAV is utilized as a cooperative jammer generating artificial noise (AN) to degrade unscheduled UEs detection. We then formulate a novel minimum average energy efficiency (mAEE) optimization problem, targetting to improve the covert throughput and reduce UAVs' propulsion energy consumption subject to the covertness requirement, which is determined analytically. Since the optimization problem is non-convex, we tackle it via the block successive convex approximation (BSCA) approach to iteratively solve a sequence of approximated convex sub-problems, designing the binary user scheduling, AP's power allocation, maximum AN jamming power, IRS beamforming, and both UAVs' trajectory planning. Finally, we present a low-complex overall algorithm for system performance enhancement with complexity and convergence analysis. Numerical results are provided to verify our analysis and demonstrate significant outperformance of our design over other existing benchmark schemes.
description: 23 pages, 14 figures, submitted for possible journal publication
Geological evolution of the Central Pontides
Creators: name: Okay, Aral I.
name: Altiner, Demir
name: Sunal, Gürsel
name: Aygül, Mesut
name: Akdoğan, Remziye
name: Altiner, Sevinç
name: Simmons, Mike
Publisher: name: Geological Society of London
Year: 2017
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences

description: The palaeontological data (foraminifera, nannofossil and pollen).
Improvising Institutions
Creators: name: Allen, Jamie
Publisher: name: De Gruyter
Year: 2020
Subjects: subject: institution
subject: improvisation
subject: artistic practices
subject: 700 - Künste und Unterhaltung

description: The thoughts and writings that follow began their lives as notes for a talk on the topic and possibility of ‹institutional improvisation› and the equally sup- positional and perhaps overly ambitious idea of ‹improvising institutions›. The talk itself was somewhat improvised, delivered at the end of a three- day series of such contributions and interventions. It was the final input to a lively and ambitious symposium entitled «Art and Its Borders» («Kunst an den Rändern»). At the grateful invitation of Christiane Kruse, Annika Frye and Ileana Pascalau of Muthesius Kunsthochschule in Kiel, I gave a lecture and, along with collaborator Bernhard Garnicnig, gave a workshop with Muthesius art students on themes related to this talk.
Geometrical picture of the electron-electron correlation at the large-D limit
Creators: name: Ghosh, Kumar J. B.
name: Kais, Sabre
name: Herschbach, Dudley R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In electronic structure calculations, the correlation energy is defined as the difference between the mean field and the exact solution of the non relativistic Schrödinger equation. Such an error in the different calculations is not directly observable as there is no simple quantum mechanical operator, apart from correlation functions, that correspond to such quantity. Here, we use the dimensional scaling approach, in which the electrons are localized at the large-dimensional scaled space, to describe a geometric picture of the electronic correlation. Both, the mean field, and the exact solutions at the large-D limit have distinct geometries. Thus, the difference might be used to describe the correlation effect. Moreover, correlations can be also described and quantified by the entanglement between the electrons, which is a strong correlation without a classical analog. Entanglement is directly observable and it is one of the most striking properties of quantum mechanics and bounded by the area law for local gapped Hamiltonians of interacting many-body systems. This study opens up the possibility of presenting a geometrical picture of the electron-electron correlations and might give a bound on the correlation energy. The results at the large-D limit and at D=3 indicate the feasibility of using the geometrical picture to get a bound on the electron-electron correlations.
description: 27 pages, 13 figures
Innovation management at Swiss Post. Case Study
Creators: name: Meisterr, Oliverr
Publisher: name: University of Applied Sciences and Arts Northwestern Switzerland FHNW, School of Business
Year: 2013
Subjects: subject: Swiss Post
subject: Innovation Management
subject: Inner company innovation management
subject: 647 - Management öffentliche Verwaltung

description: This thesis documents the business implementation of the top-down and bottom-up approaches to drive innovation at Swiss Post, compared against the latest theories. Swiss Post distinguishes between bottom-up and top-down innovation. Top-down innovation is an initiative or campaign as a question or request towards a group of experts. This group can be all employees or a selected committee of internal or external individuals. By the example of the case at Swiss Post, tools, methodologies and strategic implementation are explained. Bottom-up approaches are initiated by internal personnel or departments. This is for the continuous improvement process as well as for the radical innovation process. A web based tool called PostIdea is used to describe and gather ideas. Ideas, if incremental, reach an expert of a particular field to take care, if radical, they are passed to an innovation manager. Top-down and bottom-up innovation are let through a stage-gate process. Once accepted into the process, CHF 50’000 are available to initialy develop a business idea. Through a stage-gate processes, juries judge the ideas upon expertise. Innovation management is situated within corporate human resources but reports directly to the CEO. It has a budget available of 1.5‰ of the corporations annual turnover. Innovation management at Swiss Post provides tools and methodology to drive innovation but doesn’t act as a R&D department but can start initiatives.
Jet tomography in hot QCD medium with deep learning
Creators: name: Du, Yi-Lun
name: Pablos, Daniel
name: Tywoniuk, Konrad
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: With deep learning techniques, the degree of modification of energetic jets that traversed hot QCD medium can be identified on a jet-by-jet basis. Due to the strong correlations between the degree of jet modification and its traversed length in the medium, we demonstrate the power of our novel method to locate the creation point of a dijet pair in the nuclear overlap region. In particular, jet properties, such as jet width and orientation can serve as additional handles to locate the creation points to a higher level of precision, which constitutes a significant development towards the long-standing goal of using jets as tomographic probes of the quark-gluon plasma.
description: 7 pages, 3 figures. Contribution to the proceedings of EPS-HEP 2021, European Physical Society conference on High Energy Physics, 26-30 July 2021
Classification of quark and gluon jets in hot QCD medium with deep learning
Creators: name: Du, Yi-Lun
name: Pablos, Daniel
name: Tywoniuk, Konrad
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Deep learning techniques have shown the capability to identify the degree of energy loss of high-energy jets traversing hot QCD medium on a jet-by-jet basis. The average amount of quenching of quark and gluon jets in hot QCD medium actually have different characteristics, such as their dependence on the in-medium traversed length and the early-developed jet substructures in the evolution. These observations motivate us to consider these two types of jets separately and classify them from jet images with deep learning techniques. We find that the classification performance gradually decreases with increasing degree of jet modification. In addition, we discuss the predictive power of different jet observables, such as the jet shape, jet fragmentation function, jet substructures as well as their combinations, in order to address the interpretability of the classification task.
description: 5 pages, 4 figures, 1 table, 22nd Particles and Nuclei International Conference (PANIC 2021)
Thematisches Glossar "Religion, Worldviews, Ethics"
Creators: name: Green, Jens-Peter
Publisher: name: Zenodo
Year: 2023
Subjects: Content and Language Integrated Learning
intercultural learning
interreligious learning
interideological learning

description: Thematic German-English Glossary "Religion, Worldviews, Ethics"; this glossary is a supplement to: Jens-Peter Green, Manfred L. Pirner and Jens Büngener (eds.) with assistance of Nele Orlemann: "Religionsunterricht bilingual. Didaktische Perspektiven und Anregungen für die Praxis". Erlangen: FAU University Press 2022. ISBN: 978-3-96147-483-7, eISBN: 978-3-96147-484-4, DOI: 10.25593/978-3-96147-484-4
Multitask Learning for Crash Analysis: A Fine-Tuned LLM Framework Using Twitter Data
Creators: name: Jaradat, Shadi
name: Nayak, Richi
name: Paz, Alexander
name: Ashqar, Huthaifa
name: Elhenawy, Mohammad
Publisher: name: MDPI
Year: 2024
Subjects: GPT
large language models
multitask learning
road traffic crashes
social media data analysis

description: Road traffic crashes (RTCs) are a global public health issue, with traditional analysis methods often hindered by delays and incomplete data. Leveraging social media for real-time traffic safety analysis offers a promising alternative, yet effective frameworks for this integration are scarce. This study introduces a novel multitask learning (MTL) framework utilizing large language models (LLMs) to analyze RTC-related tweets from Australia. We collected 26,226 traffic-related tweets from May 2022 to May 2023. Using GPT-3.5, we extracted fifteen distinct features categorized into six classification tasks and nine information retrieval tasks. These features were then used to fine-tune GPT-2 for language modeling, which outperformed baseline models, including GPT-4o mini in zero-shot mode and XGBoost, across most tasks. Unlike traditional single-task classifiers that may miss critical details, our MTL approach simultaneously classifies RTC-related tweets and extracts detailed information in natural language. Our fine-tunedGPT-2 model achieved an average accuracy of 85% across the six classification tasks, surpassing the baseline GPT-4o mini model’s 64% and XGBoost’s 83.5%. In information retrieval tasks, our fine-tuned GPT-2 model achieved a BLEU-4 score of 0.22, a ROUGE-I score of 0.78, and a WER of 0.30, significantly outperforming the baseline GPT-4 mini model’s BLEU-4 score of 0.0674, ROUGE-I score of 0.2992, and WER of 2.0715. These results demonstrate the efficacy of our fine-tuned GPT-2 model in enhancing both classification and information retrieval, offering valuable insights for data-driven decision-making to improve road safety. This study is the first to explicitly apply social media data and LLMs within an MTL framework to enhance traffic safety.
Systematic literature review comparing rapid 3-dose administration of the GSK tick-borne encephalitis vaccine with other primary immunization schedules
Creators: name: Galgani, Ilaria
name: Bunge, Eveline M
name: Hendriks, Lisa
name: Schludermann, Christopher
name: Marano, Cinzia
name: Moerlooze, Laurence De
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Physiology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: Introduction: Tick-borne encephalitis (TBE), which is endemic across large regions of Europe and Asia, is most effectively prevented through vaccination. Three-dose primary TBE vaccination schedules are either rapid (0,7,21-days) or conventional (0,28-84-days, 9-12-months). The second dose can also be administered at 14 days for faster priming and sero-protection). Areas covered: We used a three-step selection process to identify 21 publications comparing the immunogenicity and/or safety of different schedules. Expert commentary: Priming with two or three TBE vaccine doses was highly immunogenic. After conventional priming (0-28 days), 95% adults and ≥95% children had neutralization test (NT) titers ≥10 at 14 days post-dose-2 compared with 92% adults and 99% children at 21 days post-dose-3 (rapid schedule). Most subjects retained NT titers ≥10 at day 300. A single booster dose induced a strong immune response in all subjects irrespective of primary vaccination schedule or elapsed time since priming. GMT peaked at 42 days post-dose-1 (i.e., 21 days post-dose 3 [rapid-schedule], or 14-28 days post-dose-2 [conventional-schedule]), and declined thereafter. Adverse events were generally rare and declined with increasing doses. In the absence of data to recommend one particular schedule, the regimen choice will remain at the physician’s discretion, based on patient constraints and availability.
Thematisches Glossar "Religion, Worldviews, Ethics"
Creators: name: Green, Jens-Peter
Publisher: name: Zenodo
Year: 2024
Subjects: Content and Language Integrated Learning
intercultural learning
interreligious learning
interideological learning

description: Thematic German-English Glossary "Religion, Worldviews, Ethics"; this glossary is a supplement to: Jens-Peter Green, Manfred L. Pirner and Jens Büngener (eds.) with assistance of Nele Orlemann: "Religionsunterricht bilingual. Didaktische Perspektiven und Anregungen für die Praxis". Erlangen: FAU University Press 2022. ISBN: 978-3-96147-483-7, eISBN: 978-3-96147-484-4, DOI: 10.25593/978-3-96147-484-4
Additional file 4 of TCONS_00230836 silencing restores stearic acid-induced β cell dysfunction through alleviating endoplasmic reticulum stress rather than apoptosis
Creators: name: Guo, Rui
name: Zhang, Yunjin
name: Yu, Yue
name: Su, Shenghan
name: Zhao, Qingrui
name: Chu, Xia
name: Li, Shenglong
name: Lu✉, Huimin
name: Sun, Changhao
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 4. Alteration of the lncRNA TCONS_00230836 level in brown adipose, liver, and skeletal muscle of mice fed a high-stearic-acid diet. n = 5 mice per group. Ctrl, control group; HSD, high-stearic-acid diet. *P < 0.05, **P < 0.01 versus the Ctrl group.
Classical physics and blackbody radiation
Creators: name: Wang, Jiao
name: Casati, Giulio
name: Benenti, Giuliano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: We investigate the properties of the blackbody spectrum by direct numerical solution of the classical equations of motion of a one-dimensional model that contains the essential general features of the field-matter interaction. Our results, which do not rely on any statistical assumption, show that the classical blackbody spectrum exhibits remarkable properties: (i) a quasistationary state characterized by scaling properties, (ii) consistency with the Stefan-Boltzmann law, and (iii) a high-frequency cutoff. Our work is a preliminary step in the understanding of statistical properties of infinite dimensional systems.
description: 7 pages, 9 figures
Pair density wave and reentrant superconducting tendencies originating from valley polarization
Creators: name: Han, Zhaoyu
name: Kivelson, Steven A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate superconducting pairing tendencies of a two-dimensional electron fluid with both valley and spin degrees of freedom, both without and in the presence of an in-plane magnetic field. We present suggestive theoretical arguments that spontaneous valley polarization can lead to exotic singlet superconducting tendencies, including pair-density-wave order at zero field and re-entrant superconductivity at high field. We also find a reduced magnetic response in the polarized valley, which allows a finite violation of the Pauli limit. These results are obtained by a mean-field approach to a generalized $t$-$J$ model on a triangular lattice and in the dilute limit. Phenomenological similarities to results of recent magic-angle twisted trilayer graphene experiments are noted.
description: 7 pages, 2 figures
Erfassung digitaler Kompetenzen - Die Weiterentwicklung und Validierung des Fit4Digi Messinstruments zur Selbsteinschätzung digitaler Kompetenzen auf Fachhochschulebene
Creators: name: Sahinbay, Cansu
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2020
Subjects: Fit4Digi
Digitalisierung
Digitale Kompetenz
Digitale Medien
JISC
21st century skills
TAM2
TAM3
IS Modell

description: Die Entwicklung zu einer verstärkten Digitalisierung bringt für Fachhochschulen eine Vielzahl von Herausforderungen mit sich, welche technische, soziale und kulturelle Transformationsprozesse eingeleitet hat. Digitale Medien gewinnen immer mehr an Bedeutung. Sie durchdringen in den beruflichen sowie in den privaten Kontext. Konkret stellt sich die Frage nach dem Aufbau digitaler Kompetenzen für Studierende der Fachhochschule, mit denen sich die Herausforderungen der Digitalisierung bewältigen lassen. Die vorliegende Masterarbeit versteht sich als eine Methodenentwicklung und Validierung eines bestehenden Messinstrumentes, das Fit4Digi heisst. Das Ziel dieser Masterarbeit war es, neue Dimensionen aus der Literaturrecherche und der Experteninterviews für das Fit4Digi Messinstrument abzuleiten und es bei Studierenden der Fachhochschule einzusetzen. Auf Grundlage der konfirmatorischen Faktorenanalyse konnten 20 Items zu drei Dimensionen erfasst werden: „Nutzung“, „Nutzungszufriedenheit“ und „Digitale Selbstwirksamkeit“. Mit diesem Messinstrument können Kompetenzentwicklungen im Bereich digitaler Kompetenz nachgewiesen werden und sinnvolle Digitalisierungsstrategien auf Fachhochschulebene entwickelt werden.
Thematisches Glossar "Religion, Worldviews, Ethics"
Creators: name: Green, Jens-Peter
Publisher: name: Zenodo
Year: 2022
Subjects: Content and Language Integrated Learning
intercultural learning
interreligious learning
interideological learning

description: Thematic German-English Glossary "Religion, Worldviews, Ethics"; this glossary is a supplement to: Jens-Peter Green, Manfred L. Pirner and Jens Büngener (eds.) with assistance of Nele Orlemann: "Religionsunterricht bilingual. Didaktische Perspektiven und Anregungen für die Praxis". Erlangen: FAU University Press 2022. ISBN: 978-3-96147-483-7, eISBN: 978-3-96147-484-4, DOI: 10.25593/978-3-96147-484-4
ChiliPDF: Chebyshev Interpolation for Parton Distributions
Creators: name: Diehl, Markus
name: Nagar, Riccardo
name: Tackmann, Frank J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Parton distribution functions (PDFs) are an essential ingredient for theoretical predictions at colliders. Since their exact form is unknown, their handling and delivery for practical applications relies on approximate numerical methods. We discuss the implementation of PDFs based on a global interpolation in terms of Chebyshev polynomials. We demonstrate that this allows for significantly higher numerical accuracy at lower computational cost compared with local interpolation methods such as splines. Whilst the numerical inaccuracy of currently used local methods can become a nontrivial limitation in high-precision applications, in our approach it is negligible for practical purposes. This holds in particular for differentiation and for Mellin convolution with kernels that have end point singularities. We illustrate our approach for these and other important numerical operations, including DGLAP evolution, and find that they are performed accurately and fast. Our results are implemented in the C++ library ChiliPDF.
description: 38 pages, 15 figures; v2: added discussion and references, mainly in the introduction and conclusions
The impact of different levels of typical school provision of physical education, physical activity and sports on adolescent physical activity behaviors, health and wellbeing
Creators: name: Rocliffe, Padraic
name: O'Keeffe, Brendan
name: SHERWIN, IAN
name: MANNIX-MC NAMARA, PATRICIA
name: MAC DONNCHA, CIARAN
Publisher: name: University of Limerick
Year: 2024

description: Objective: The aim of this study was to investigate the impact of different levels of typical school provision of physical education, physical activity and sports on the physical activity behaviors, health and wellbeing of Irish adolescents (13–14 years). Methods: A cross-sectional sample (n = 795) of adolescents (age: 14.28 ± 0.45), enrolled at schools that are representative of higher (n = 7), moderate (n = 6) and lower (n = 7) levels of a typical school provision of physical education, physical activity and sports was included. A physical activity behaviors, health and wellbeing questionnaire with established test–retest reliability was utilized to measure the variation in physical activity behaviors, health and wellbeing. Results: Data analysis indicated a significant variation in the levels of physical activity behaviors and health across different levels of typical school provision of physical education, physical activity and sports. The evidence was reported both as unadjusted group level analysis and adjusted covariate analysis. Favorable outcomes for higher levels of typical school provision were found for physical activity participation, body mass index, social support from peers to participate in physical activity and enjoyment of physical education for girls and somatic health complaints and enjoyment of physical education for boys. Conclusions: The findings stemming from this inquiry enable schools to optimize their environments for health promotion and, thus, further enhance their contribution to public health policy.
Allele-specific interaction between glutathione peroxidase 1 and manganese superoxide dismutase affects the levels of Bcl-2, Sirt3 and E-cadherin
Creators: name: Ekoue, Dede N.
name: Bera, Soumen
name: Ansong, Emmanuel
name: Hart, Peter C.
name: Zaichick, Sofia
name: Domann, Frederick E.
name: Bonini, Marcelo G.
name: Diamond, Alan M.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Biotechnology
subject: Evolutionary Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Manganese superoxide dismutase (MnSOD) is a mitochondrial-resident enzyme that reduces superoxide to hydrogen peroxide (H2O2), which can be further reduced to water by glutathione peroxidase (GPX1). Data from human studies have indicated that common polymorphisms in both of these proteins are associated with the risk of several cancers, including breast cancer. Moreover, polymorphisms in MnSOD and GPX1 were shown to interact to increase the risk of breast cancer. To gain an understanding of the molecular mechanisms behind these observations, we engineered human MCF-7 breast cancer cells to exclusively express GPX1 and/or MnSOD alleles and investigated the consequences on the expression of several proteins associated with cancer aetiology. Little or no effect was observed on the ectopic expression of these genes on the phosphorylation of Akt, although allele-specific effects and interactions were observed for the impact on the levels of Bcl-2, E-cadherin and Sirt3. The patterns observed were not consistent with the steady-state levels of H2O2 determined in the transfected cells. These results indicate plausible contributing factors to the effects of allelic variations on cancer risk observed in human epidemiological studies.