cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Ginzburg-Landau Approach to Holographic Superconductivity
Creators: name: Dector, Aldo
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct a family of minimal phenomenological models for holographic superconductors in d=4+1 AdS spacetime and study the effect of scalar and gauge field fluctuations. By making a Ginzburg-Landau interpretation of the dual field theory, we determine through holographic techniques a phenomenological Ginzburg-Landau Lagrangian and the temperature dependence of physical quantities in the superconducting phase. We obtain insight on the behaviour of the Ginzburg-Landau parameter and whether the systems behaves as a Type I or Type II superconductor. Finally, we apply a constant external magnetic field in a perturbative approach following previous work by D'Hoker and Kraus, and obtain droplet solutions which signal the appearance of the Meissner effect.
description: 41 pages, 31 figures, calculations added
title: Nach Dienstschluss darf der Soldat Bürger sein. Das Mehrzweckgebäude „Küche I“ der ehemaligen Eberhard-Finckh-Kaserne in Engstingen
Creators: name: Fromm-Kaupp, Iris
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 33, Nr. 2 (2004), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: „Die Gabler-Orgel in Ochsenhausen“. Wissenschaftliches Kolloquium
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 33, Nr. 3 (2004), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Probing the spin dimensionality in single-layer CrSBr van der Waals heterostructures by magneto-transport measurements
Creators: name: Boix-Constant, Carla
name: Mañas-Valero, Samuel
name: Ruiz, Alberto M.
name: Rybakov, Andrey
name: Konieczny, Krzysztof Aleksander
name: Pillet, Sébastien
name: Baldoví, José J.
name: Coronado, Eugenio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Two-dimensional (2D) magnetic materials offer unprecedented opportunities for fundamental physics and applied research in spintronics and magnonics. Beyond the pioneering studies on 2D CrI3 and Cr2Ge2Te6, this emerging field has expanded to 2D antiferromagnets exhibiting different spin anisotropies and textures. Of particular interest is the layered metamagnet CrSBr, a relatively air-stable semiconductor formed by antiferromagnetically-coupled ferromagnetic layers (Tc~150 K) that can be exfoliated down to the single-layer. It presents a complex magnetic behavior with a dynamic magnetic crossover leading to a low-temperature hidden order below T*~40 K. Here, we inspect the magneto-transport properties of CrSBr vertical heterostructures in the 2D limit. Our results demonstrate the marked low-dimensional character of the ferromagnetic monolayer, with short-range correlations above Tc and an Ising-type in-plane anisotropy, being the spins spontaneously aligned along the easy-axis b below Tc. By applying moderate magnetic fields along a and c axes, a spin reorientation occurs, leading to a magnetoresistance enhancement below T*. In multilayers, a spin-valve behavior is observed, with negative magnetoresistance strongly enhanced along the three directions below T*. These results show that CrSBr monolayer/bilayer provides an ideal platform for studying and controlling field-induced phenomena in two-dimensions, offering new insights regarding 2D magnets and their integration into vertical spintronic devices.
description: 4 figures
Self-similarity and stable clustering in a family of scale-free cosmologies
Creators: name: Benhaiem, David
name: Joyce, Michael
name: Marcos, Bruno
Publisher: name: arXiv
Year: 2013
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study non-linear gravitational clustering from cold gaussian power-law initial conditions in a family of scale-free EdS models, characterized by a free parameter $κ$ fixing the ratio between the mass driving the expansion and the mass which clusters. As in the "usual" EdS model, corresponding to $κ=1$, self-similarity provides a powerful instrument to delimit the physically relevant clustering resolved by a simulation. Likewise, if stable clustering applies, it implies scale-free non-linear clustering. We derive the corresponding exponent $γ_{sc} (n, κ)$ of the two point correlation function. We then report the results of extensive N-body simulations, of comparable size to those previously reported in the literature for the case $κ=1$, and performed with an appropriate modification of the GADGET2 code. We observe in all cases self-similarity in the two point correlations, down to a lower cut-off which decreases monotonically in time in comoving coordinates. The self-similar part of the non-linear correlation function is fitted well in all cases by a single power-law with an exponent in good agreement with $γ_{sc} (n, κ)$. Our results thus indicate that stable clustering provides an excellent approximation to the non-linear correlation function over the resolved self-similar scales, at least down to $γ_{sc} (n, κ) \approx 1$, corresponding to the case $n=-2$ for $κ=1$. We conclude, in contrast notably with the results of Smith et al. (2003), that a clear identification of the breakdown of stable clustering in self-similar models - and the possible existence of a "universal" region in which non-linear clustering becomes independent of initial conditions - remains an important open problem, which should be addressed further in significantly larger simulations.
description: 31 pages, 14 figures, additional results for 256^3 simulations, added references and other small modifications, final version to appear in MNRAS
The space of high-dimensional Dalean, amplifying networks and the trade-off between stability and amplification
Creators: name: Condruz, Nicoleta
name: Chintaluri, Chaitanya
name: Bulygin, Ivan
name: Vogels, Tim P.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Mitteilungen
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 34, Nr. 1 (2005), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Scalable Hybrid Deep Neural Networks/Polarizable Potentials Biomolecular Simulations including long-range effects
Creators: name: Inizan, Théo Jaffrelot
name: Plé, Thomas
name: Adjoua, Olivier
name: Ren, Pengyu
name: Gökcan, Hattice
name: Isayev, Olexandr
name: Lagardère, Louis
name: Piquemal, Jean-Philip
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Deep-HP is a scalable extension of the \TinkerHP\ multi-GPUs molecular dynamics (MD) package enabling the use of Pytorch/TensorFlow Deep Neural Networks (DNNs) models. Deep-HP increases DNNs MD capabilities by orders of magnitude offering access to ns simulations for 100k-atom biosystems while offering the possibility of coupling DNNs to any classical (FFs) and many-body polarizable (PFFs) force fields. It allows therefore to introduce the ANI-2X/AMOEBA hybrid polarizable potential designed for ligand binding studies where solvent-solvent and solvent-solute interactions are computed with the AMOEBA PFF while solute-solute ones are computed by the ANI-2x DNN. ANI-2X/AMOEBA explicitly includes AMOEBA's physical long-range interactions via an efficient Particle Mesh Ewald implementation while preserving ANI-2X's solute short-range quantum mechanical accuracy. The DNNs/PFFs partition can be user-defined allowing for hybrid simulations to include biosimulation key ingredients such as polarizable solvents, polarizable counter ions, etc... ANI-2X/AMOEBA is accelerated using a multiple-timestep strategy focusing on the models contributions to low-frequency modes of nuclear forces. It primarily evaluates AMOEBA forces while including ANI-2x ones only via correction-steps resulting in an order of magnitude acceleration over standard Velocity Verlet integration. Simulating more than 10 $μ$, we compute charged/uncharged ligands solvation free energies in 4 solvents, and absolute binding free energies of host-guest complexes from SAMPL challenges. ANI-2X/AMOEBA average errors are within chemical accuracy opening the path towards large-scale hybrid DNNs simulations, at force-field cost, in biophysics and drug discovery.
title: Editorial
Creators: name: Planck, Dieter
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 34, Nr. 2 (2005), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: Tag des Offenen Denkmals 2005
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 34, Nr. 3 (2005), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Phanaeus jackenoi Moctezuma & Halffter 2021
Creators: name: Lizardo, Viridiana
name: Moctezuma, Víctor
name: Escobar-Sarria, Federico
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Scarabaeidae
Phanaeus
Phanaeus jackenoi

description: Phanaeus jackenoi Moctezuma & Halffter, 2021 Recorded Distribution: GUATEMALA: Chimaltenango — Parramos, Chiquimula — Chiquimula, Guatemala — San Juan Sacatepéquez, ZONA 1, ZONA 16, Santa Catarina Pinula, Huehuetenango — Jacaltenango, Cuilco, Santa Bárbara, Malacatancito, Zacapa — Río Hondo; MEXICO: Chiapas — Frontera Comalapa. Altitude: from 428 to 1878 m a.s.l. Biomes: Tropical & Subtropical Coniferous Forests, Tropical & Subtropical Dry Broadleaf Forests, Tropical & Subtropical Moist Broadleaf Forests. Ecorregions: NEOTROPIC: Central American pine-oak forests, Chiapas Depression dry forests, Central American montane forests. Predicted distribution: This species distributes from 12.8° to 17.25° latitude in an area of 60,925 Km2. Its predicted distribution has a mean annual temperature of 16.98-23.24° C with a maximum difference of temperature of 14.61° C during the year and mean precipitation of 1247-1670 mm per year.
description: Published as part of Lizardo, Viridiana, Moctezuma, Víctor & Escobar-Sarria, Federico, 2022, Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models, pp. 1-77 in Zootaxa (suppl.) (suppl.) 5213 (5) on pages 27-28, DOI: 10.5281/zenodo.7387492
The maximum spectral radius of non-bipartite graphs forbidding short odd cycles
Creators: name: Li, Yongtao
name: Peng, Yuejian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 05C50, 05C35

description: It is well-known that eigenvalues of graphs can be used to describe structural properties and parameters of graphs. A theorem of Nosal states that if $G$ is a triangle-free graph with $m$ edges, then $λ(G)\le \sqrt{m}$, equality holds if and only if $G$ is a complete bipartite graph. Recently, Lin, Ning and Wu [Combin. Probab. Comput. 30 (2021)] proved a generalization for non-bipartite triangle-free graphs. Moreover, Zhai and Shu [Discrete Math. 345 (2022)] presented a further improvement. In this paper, we present an alternative method for proving the improvement by Zhai and Shu. Furthermore, the method can allow us to give a refinement on the result of Zhai and Shu for non-bipartite graphs without short odd cycles.
description: 27 pages, 6 figures. We would like to express sincere thanks to Huiqiu Lin, Bo Ning and Mingqing Zhai for kind discussions, which considerably improves the presentation of the manuscript. The present work can be viewed as the second paper of our previous project arXiv:2204.09194. Any comments and suggestions are welcome
Probing two driven double quantum dots strongly coupled to a cavity
Creators: name: Gu, Si-Si
name: Kohler, Sigmund
name: Xu, Yong-Qiang
name: Wu, Rui
name: Jiang, Shun-Li
name: Ye, Shu-Kun
name: Lin, Ting
name: Wang, Bao-Chuan
name: Li, Hai-Ou
name: Cao, Gang
name: Guo, Guo-Ping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We experimentally and theoretically study a driven hybrid circuit quantum electrodynamics (cQED) system beyond the dispersive coupling regime. Treating the cavity as part of the driven system, we develop a theory applicable to such strongly coupled and to multi-qubit systems. The fringes measured for a single driven double quantum dot (DQD)-cavity setting and the enlarged splittings of the hybrid Floquet states in the presence of a second DQD are well reproduced with our model. This opens a path to study Floquet states of multi-qubit systems with arbitrarily strong coupling and reveals a new perspective for understanding strongly driven hybrid systems.
description: 9 pages, 6 figures
title: Tag des offenen Denkmals. Eröffnungsveranstaltung in Rastatt und weitere Aktionen der Landesdenkmalpflege
Creators: name: Deible, Jennifer
name: Fiedler, Helmuth
name: Gillich, Antje
name: Hücklekemkes, Nils
name: Keller, Daniel
name: Mattern, Monique
name: Schneider, Marie
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 40, Nr. 4 (2011), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
Creators: name: Vila, Jeremy
name: Schniter, Philip
Publisher: name: arXiv
Year: 2013
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We propose two novel approaches to the recovery of an (approximately) sparse signal from noisy linear measurements in the case that the signal is a priori known to be non-negative and obey given linear equality constraints, such as simplex signals. This problem arises in, e.g., hyperspectral imaging, portfolio optimization, density estimation, and certain cases of compressive imaging. Our first approach solves a linearly constrained non-negative version of LASSO using the max-sum version of the generalized approximate message passing (GAMP) algorithm, where we consider both quadratic and absolute loss, and where we propose a novel approach to tuning the LASSO regularization parameter via the expectation maximization (EM) algorithm. Our second approach is based on the sum-product version of the GAMP algorithm, where we propose the use of a Bernoulli non-negative Gaussian-mixture signal prior and a Laplacian likelihood, and propose an EM-based approach to learning the underlying statistical parameters. In both approaches, the linear equality constraints are enforced by augmenting GAMP's generalized-linear observation model with noiseless pseudo-measurements. Extensive numerical experiments demonstrate the state-of-the-art performance of our proposed approaches.
Electronic band structure and surface states in Dirac semimetal LaAgSb$_{2}$
Creators: name: Rosmus, Marcin
name: Olszowska, Natalia
name: Bukowski, Zbigniew
name: Starowicz, Paweł
name: Piekarz, Przemysław
name: Ptok, Andrzej
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: LaAgSb$_{2}$ is a Dirac semimetal showing charge density wave (CDW) order. Previous ARPES results suggest the existence of the Dirac-cone-like structure in the vicinity of the Fermi level along the $Γ$-M direction [X. Shi et al., Phys. Rev. B 93, 081105(R) (2016)]. This paper is devoted to a complex analysis of the electronic band structure of LaAgSb$_{2}$ by means of angle-resolved photoemission spectroscopy (ARPES) and theoretical calculations within the direct ab initio method as well as tight binding model formulation. To investigate the possible surface states we performed the direct DFT slab calculation and the surface Green function calculation for the (001) surface. The appearance of the surface states, which depends strongly on surface, points to the conclusion that LaSb termination is realized in the cleaved crystals. Moreover, the surface states predicted by our calculations at the $Γ$ and $X$ points are found by ARPES. Nodal lines, which exist along X--R and M-A path due to crystal symmetry, are also observed experimentally. The calculations reveal another nodal lines, which originate from vanishing of spin-orbit coupling and are located at X-M-A-R plane at the Brillouin zone boundary. In addition, we analyze band structure along the $Γ$-M path to verify, whether Dirac surface states can be expected. Their appearance in this region is not confirmed.
description: 14 pages, 12 figures, Supplemental Material (4 pages, 5 figures)
title: Vom Siloturm zum Büroturm. Die Umnutzung des „WLZ-Lagergebäudes“ in Geislingen a. d. Steige
Creators: name: Preßler, Karsten
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 1 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Deep inverse modeling reveals dynamic-dependent invariances in neural circuits mechanisms
Creators: name: Gao, Richard
name: Deistler, Michael
name: Schulz, Auguste
name: Gonçalves, Pedro
name: Macke, Jakob H.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
The Haar state on the Vaksman-Soibelman quantum spheres
Creators: name: Mikkelsen, Max Holst
name: Kaad, Jens
Publisher: name: arXiv
Year: 2022
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46L67

description: In this note we present explicit formulae for the Haar state on the Vaksman-Soibelman quantum spheres. Our formulae correct various statements appearing in the literature and our proof is straightforward relying simply on properties of the modular automorphism group for the Haar state.
RadTex: Learning Efficient Radiograph Representations from Text Reports
Creators: name: Quigley, Keegan
name: Cha, Miriam
name: Liao, Ruizhi
name: Chauhan, Geeticka
name: Horng, Steven
name: Berkowitz, Seth
name: Golland, Polina
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Automated analysis of chest radiography using deep learning has tremendous potential to enhance the clinical diagnosis of diseases in patients. However, deep learning models typically require large amounts of annotated data to achieve high performance -- often an obstacle to medical domain adaptation. In this paper, we build a data-efficient learning framework that utilizes radiology reports to improve medical image classification performance with limited labeled data (fewer than 1000 examples). Specifically, we examine image-captioning pretraining to learn high-quality medical image representations that train on fewer examples. Following joint pretraining of a convolutional encoder and transformer decoder, we transfer the learned encoder to various classification tasks. Averaged over 9 pathologies, we find that our model achieves higher classification performance than ImageNet-supervised and in-domain supervised pretraining when labeled training data is limited.
description: Awarded Best Paper at Resource Efficient Medical Image Analysis (REMIA) Workshop, MICCAI 2022
Discrepancy estimates for variance bounding Markov chain quasi-Monte Carlo
Creators: name: Dick, Josef
name: Rudolf, Daniel
Publisher: name: arXiv
Year: 2013
Subjects: subject: Computation (stat.CO)
subject: Numerical Analysis (math.NA)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: Primary: 60J22, 65C40, 62F15, Secondary: 65C05, 60J05

description: Markov chain Monte Carlo (MCMC) simulations are modeled as driven by true random numbers. We consider variance bounding Markov chains driven by a deterministic sequence of numbers. The star-discrepancy provides a measure of efficiency of such Markov chain quasi-Monte Carlo methods. We define a pull-back discrepancy of the driver sequence and state a close relation to the star-discrepancy of the Markov chain-quasi Monte Carlo samples. We prove that there exists a deterministic driver sequence such that the discrepancies decrease almost with the Monte Carlo rate $n^{1/2}$. As for MCMC simulations, a burn-in period can also be taken into account for Markov chain quasi-Monte Carlo to reduce the influence of the initial state. In particular, our discrepancy bound leads to an estimate of the error for the computation of expectations. To illustrate our theory we provide an example for the Metropolis algorithm based on a ball walk. Furthermore, under additional assumptions we prove the existence of a driver sequence such that the discrepancy of the corresponding deterministic Markov chain sample decreases with order $n^{-1+δ}$ for every $δ>0$.
description: 24 pages
Exact solutions and conservation lawsof a one-dimensional PDE model for a blood vessel
Creators: name: Anco, Stephen C.
name: Marquez, Almudena P.
name: Garrido, Tamara M.
name: Gandarias, Maria L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Two aspects of a widely used 1D model of blood flow in a single blood vessel are studied by symmetry analysis, where the variables in the model are the blood pressure and the cross-section area of the blood vessel. As one main result, all travelling wave solutions are found by explicit quadrature of the model. The features, behaviour, and boundary conditions for these solutions are discussed. Solutions of interest include shock waves and sharp wave-front pulses for the pressure and the blood flow. Another main result is that three new conservation laws are derived for inviscid flows. Compared to the well-known conservation laws in 1D compressible fluid flow, they describe generalized momentum and generalized axial and volumetric energies. For viscous flows, these conservation laws get replaced by conservation balance equations which contain a dissipative term proportional to the friction coefficient in the model.
description: 23 pages; 9 figures
A compact and versatile cryogenic probe station for quantum device testing
Creators: name: de Kruijf, Mathieu
name: Geyer, Simon
name: Berger, Toni
name: Mergenthaler, Matthias
name: Braakman, Floris
name: Warburton, Richard J.
name: Kuhlmann, Andreas V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Instrumentation and Detectors (physics.ins-det)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Fast feedback from cryogenic electrical characterization measurements is key for the development of scalable quantum computing technology. At room temperature, high-throughput device testing is accomplished with a probe-based solution, where electrical probes are repeatedly positioned onto devices for acquiring statistical data. In this work we present a probe station that can be operated from room temperature down to below 2$\,$K. Its small size makes it compatible with standard cryogenic measurement setups with a magnet. A large variety of electronic devices can be tested. Here, we demonstrate the performance of the prober by characterizing silicon fin field-effect transistors as a host for quantum dot spin qubits. Such a tool can massively accelerate the design-fabrication-measurement cycle and provide important feedback for process optimization towards building scalable quantum circuits.
title: Fenster aus Eisen, Stahl und Aluminium. Äußerst langlebig und dennoch im Bestand gefährdet
Creators: name: Klos, Hermann
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 1 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: Moor, Verkehr und Klimawandel. Ein Torflager bei Biberach als klimageschichtliches Denkmal
Creators: name: Rösch, Manfred
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 1 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: „Zackendachhäuser“. Reihenhausanlage in Stuttgart-Neugereut
Creators: name: Meyder, Simone
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 1 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Short-term Market Reaction after Trading Halts in Chinese Stock Market
Creators: name: Xu, Hai-Chuan
name: Zhang, Wei
name: Liu, Yi-Fang
Publisher: name: arXiv
Year: 2013
Subjects: subject: Trading and Market Microstructure (q-fin.TR)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Economics and business

description: In this paper, we study the dynamics of absolute return, trading volume and bid-ask spread after the trading halts using high-frequency data from the Shanghai Stock Exchange. We deal with all three types of trading halts, namely intraday halts, one-day halts and inter-day halts, of 203 stocks in Shanghai Stock Exchange from August 2009 to August 2011. We find that absolute return, trading volume, and in case of bid-ask spread around intraday halts share the same pattern with a sharp peak and a power law relaxation after that. While for different types of trading halts, the peaks' height and the relaxation exponents are different. From the perspective of halt reasons or halt duration, the relaxation exponents of absolute return after inter-day halts are larger than that after intraday halts and one-day halts, which implies that inter-day halts are most effective. From the perspective of price trends, the relaxation exponents of excess absolute return and excess volume for positive events are larger than that for negative events in case of intraday halts and one-day halts, implying that positive events are more effective than negative events for intraday halts and one-day halts. In contrast, negative events are more effective than positive events for inter-day halts.
description: 11 pages, 8 figures, Physica A (2014)
Investigating hippocampal synaptic plasticity in Schizophrenia: a computational and experimental approach using MEA recordings
Creators: name: Hamdi Cherif, Sarah
name: Roux, Candice
name: Bouet, Valentine
name: Billard, Jean-Marie
name: Gaidamour, Jérémie
name: Buhry, Laure
name: Ranta, Radu
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
$D$-meson production in high energy $pA$ collisions within the QCD color dipole transverse momentum representation
Creators: name: Santos, G. Sampaio dos
name: da Silveira, G. Gil
name: Machado, M. V. T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The $D$-meson production is investigated by considering the unintegrated gluon distribution within the dipole approach in the momentum representation. We analyze the $D$-meson spectrum accounting for the effects of nonlinear behavior of the QCD dynamics which can be accordingly addressed in the dipole framework. The unintegrated gluon distribution is obtained by using geometric scaling property and the results are compared to the Glauber-Gribov framework. The absolute transverse momentum spectra and the nuclear modification ratios are investigated. Predictions are compared with the experimental measurements by the ALICE and LHCb Collaborations in $pA$ collisions for different rapidity bins.
description: 23 pages, 9 figures, 1 table
title: Personalia ; Abbildungsnachweis
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 1 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Coherence generation, symmetry algebras and Hilbert space fragmentation
Creators: name: Andreadakis, Faidon
name: Zanardi, Paolo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Hilbert space fragmentation is a novel type of ergodicity breaking in closed quantum systems. Recently, an algebraic approach was utilized to provide a definition of Hilbert space fragmentation characterizing \emph{families} of Hamiltonian systems based on their (generalized) symmetries. In this paper, we reveal a simple connection between the aforementioned classification of physical systems and their coherence generation properties, quantified by the coherence generating power (CGP). The maximum CGP (in the basis associated to the algebra of each family of Hamiltonians) is exactly related to the number of independent Krylov subspaces $K$, which is precisely the characteristic used in the classification of the system. In order to gain further insight, we numerically simulate paradigmatic models with both ordinary symmetries and Hilbert space fragmentation, comparing the behavior of the CGP in each case with the system dimension. More generally, allowing the time evolution to be any unitary channel in a specified algebra, we show analytically that the scaling of the Haar averaged value of the CGP depends only on $K$. These results illustrate the intuitive relationship between coherence generation and symmetry algebras.
description: Accepted version, PRA, 5+3 pages
The Directly-Imaged Exoplanet Host Star 51 Eridani is a Gamma Doradus Pulsator
Creators: name: Sepulveda, Aldo G.
name: Huber, Daniel
name: Zhang, Zhoujian
name: Li, Gang
name: Liu, Michael C.
name: Bedding, Timothy R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: 51 Eri is well known for hosting a directly-imaged giant planet and for its membership to the $β$ Pictoris moving group. Using two-minute cadence photometry from the Transiting Exoplanet Survey Satellite (TESS), we detect multi-periodic variability in 51 Eri that is consistent with pulsations of Gamma Doradus ($γ$ Dor) stars. We identify the most significant pulsation modes (with frequencies between $\sim$0.5-3.9 cycles/day and amplitudes ranging between $\sim$1-2 mmag) as dipole and quadrupole gravity-modes, as well as Rossby modes, as previously observed in Kepler $γ$ Dor stars. Our results demonstrate that previously reported variability attributed to stellar rotation is instead likely due to $γ$ Dor pulsations. Using the mean frequency of the $\ell =1$ gravity-modes, together with empirical trends of the Kepler $γ$ Dor population, we estimate a plausible stellar core rotation period of 0.9$^{+0.3}_{-0.1}$ days for 51 Eri. We find no significant evidence for transiting companions around 51 Eri in the residual light curve. The detection of $γ$ Dor pulsations presented here, together with follow-up observations and modeling, may enable the determination of an asteroseismic age for this benchmark system. Future TESS observations would allow a constraint on the stellar core rotation rate, which in turn traces the surface rotation rate, and thus would help clarify whether or not the stellar equatorial plane and orbit of 51 Eri b are coplanar.
description: 10 pages, 4 figures, 1 table. Accepted to ApJ after minor revisions. Abstract is unchanged. Figure 3 is corrected for extinction and reddening
title: Der Alte Schlachthof in Karlsruhe. Ein Konversionsprojekt für die Kultur- und Kreativwirtschaft
Creators: name: Fahrbach-Dreher, Ute
name: Hoscislawski, Lina
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 1 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Simulating time evolution on distributed quantum computers
Creators: name: Buessen, Finn Lasse
name: Segal, Dvira
name: Khait, Ilia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study a variation of the Trotter-Suzuki decomposition, in which a Hamiltonian exponential is approximated by an ordered product of two-qubit operator exponentials such that the Trotter step size is enhanced for a small number of terms. Such decomposition directly reflects hardware constraints of distributed quantum computers, where operations on monolithic quantum devices are fast compared to entanglement distribution across separate nodes using interconnects. We simulate non-equilibrium dynamics of transverse-field Ising and XY spin chain models and investigate the impact of locally increased Trotter step sizes that are associated with an increasingly sparse use of the quantum interconnect. We find that the overall quality of the approximation depends smoothly on the local sparsity and that the proliferation of local errors is slow. As a consequence, we show that fast local operations on monolithic devices can be leveraged to obtain an overall improved result fidelity even on distributed quantum computers where the use of interconnects is costly.
description: 6+5 pages, 5+6 figures
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn
Creators: name: Nweye, Kingsley
name: Sankaranarayanan, Siva
name: Nagy, Zoltan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The decarbonization of buildings presents new challenges for the reliability of the electrical grid as a result of the intermittency of renewable energy sources and increase in grid load brought about by end-use electrification. To restore reliability, grid-interactive efficient buildings can provide flexibility services to the grid through demand response. Residential demand response programs are hindered by the need for manual intervention by customers. To maximize the energy flexibility potential of residential buildings, an advanced control architecture is needed. Reinforcement learning is well-suited for the control of flexible resources as it is able to adapt to unique building characteristics compared to expert systems. Yet, factors hindering the adoption of RL in real-world applications include its large data requirements for training, control security and generalizability. Here we address these challenges by proposing the MERLIN framework and using a digital twin of a real-world 17-building grid-interactive residential community in CityLearn. We show that 1) independent RL-controllers for batteries improve building and district level KPIs compared to a reference RBC by tailoring their policies to individual buildings, 2) despite unique occupant behaviours, transferring the RL policy of any one of the buildings to other buildings provides comparable performance while reducing the cost of training, 3) training RL-controllers on limited temporal data that does not capture full seasonality in occupant behaviour has little effect on performance. Although, the zero-net-energy (ZNE) condition of the buildings could be maintained or worsened as a result of controlled batteries, KPIs that are typically improved by ZNE condition (electricity price and carbon emissions) are further improved when the batteries are managed by an advanced controller.
description: under review
title: Inhalt
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 2 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
The distribution of synapse-relevant proteins along dendrite
Creators: name: Shafiee, Shirin
name: Rizzoli, Silvio
name: Tetzlaff, Christian
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Broken SU(4) Symmetry and The Fractional Quantum Hall Effect in Graphene
Creators: name: Sodemann, Inti
name: MacDonald, Allan H.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We construct a variational description for incompressible ground states and charge gaps in the N = 0 LL of graphene which accounts for the 4-fold Landau level degeneracy and for the short range interactions that break the SU(4) spin-valley invariance. Our approach explains the experimental finding that gaps at odd numerators are weak for 1
description: 8 pages, 2 figures. Improved introduction section and minor corrections to supplementary material wrt to v1
title: Editorial
Creators: name: Wolf, Claus
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 2 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
The GaN yellow-luminescence-related surface state and its interaction with air
Creators: name: Turkulets, Yury
name: Shauloff, Nitzan
name: Chaulker, Or Haim
name: Shapira, Yoram
name: Jelinek, Raz
name: Shalish, Ilan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Yellow luminescence (YL) is probably the longest and most studied defect-related luminescence band in GaN, yet its electronic structure or chemical identity remain unclear. Most of the theoretical work so far has attributed the feature to bulk defects, whereas spectroscopic studies have suggested a surface origin. Here, we apply deep level spectroscopy using sub-bandgap surface photovoltage that provides the energy distribution of the surface charge density. Comparison of surface charge spectra obtained under identical conditions before and after various surface treatments reveals the dynamics of the surface charge density. Further comparison with spectra of the entire state obtained using photoluminescence shows how the charge density stored in YL-related defects is eliminated upon a mild anneal in vacuum. This suggests that the YL-related defect involves a certain molecule adsorbed on the GaN surface, possibly in a complex with an intrinsic surface defect. The observed interaction with air strongly indicates that the YL-related deep level is a surface state.
description: Added US DOD Document Control Number (DCN) and distribution statement
title: Jörg Heiligmann/ Ralph Röber, mit einem Beitrag von Helmut Schlichtherle: Im See – am See. Archäologie in Konstanz
Creators: name: Jentsch, Bertram
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 2 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Observational Bias and Young Massive Cluster Characterisation I. 2D Perspective Effects
Creators: name: Buckner, Anne S. M.
name: Liow, Kong You
name: Dobbs, Clare L.
name: Naylor, Tim
name: Rieder, Steven
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Understanding the formation and evolution of high mass star clusters requires comparisons between theoretical and observational data to be made. Unfortunately, while the full phase space of simulated regions is available, often only partial 2D spatial and kinematic data is available for observed regions. This raises the question as to whether cluster parameters determined from 2D data alone are reliable and representative of clusters real parameters and the impact of line-of-sight orientation. In this paper we derive parameters for a simulated cluster formed from a cloud-cloud collision with the full 6D phase space, and compare them with those derived from three different 2D line-of-sight orientations for the cluster. We show the same qualitative conclusions can be reached when viewing clusters in 2D versus 3D, but that drawing quantitative conclusions when viewing in 2D is likely to be inaccurate. The greatest divergence occurs in the perceived kinematics of the cluster, which in some orientations appears to be expanding when the cluster is actually contracting. Increases in the cluster density compounds pre-existing perspective issues, reducing the relative accuracy and consistency of properties derived from different orientations. This is particularly problematic for determination of the number, and membership, of subclusters present in the cluster. We find the fraction of subclusters correctly identified in 2D decreases as the cluster evolves, reaching less than 3.4% at the evolutionary end point for our cluster.
description: 16 pages, 10 figures, 1 table. Accepted for publication in MNRAS
Probing right-hemispheric neuronal representations in the language network of an individual with aphasia
Creators: name: Waitzmann, Felix
name: Schiffl, Laura
name: Held, Lisa M.
name: Wagner, Arthur
name: Meyer, Bernhard
name: Gempt, Jens
name: Jacob, Simon N.
name: Gjorgjieva, Julijana
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Personalia ; Abbildungsnachweis
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 2 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Improving Self-Consistency in Underwater Mapping Through Laser-Based Loop Closure (Extended)
Creators: name: Hitchcox, Thomas
name: Forbes, James Richard
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Accurate, self-consistent bathymetric maps are needed to monitor changes in subsea environments and infrastructure. These maps are increasingly collected by underwater vehicles, and mapping requires an accurate vehicle navigation solution. Commercial off-the-shelf (COTS) navigation solutions for underwater vehicles often rely on external acoustic sensors for localization, however survey-grade acoustic sensors are expensive to deploy and limit the range of the vehicle. Techniques from the field of simultaneous localization and mapping, particularly loop closures, can improve the quality of the navigation solution over dead-reckoning, but are difficult to integrate into COTS navigation systems. This work presents a method to improve the self-consistency of bathymetric maps by smoothly integrating loop-closure measurements into the state estimate produced by a commercial subsea navigation system. Integration is done using a white-noise-on-acceleration motion prior, without access to raw sensor measurements or proprietary models. Improvements in map self-consistency are shown for both simulated and experimental datasets, including a 3D scan of an underwater shipwreck in Wiarton, Ontario, Canada.
description: 26 pages, 18 figures. V2 correct Table III x2 parameter values, Table VIII 'INS' values, and equation A.28
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
Creators: name: Luo, Ling
name: Wei, Chih-Hsuan
name: Lai, Po-Ting
name: Chen, Qingyu
name: Doğan, Rezarta Islamaj
name: Lu, Zhiyong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Genomics (q-bio.GN)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: The automatic assignment of species information to the corresponding genes in a research article is a critically important step in the gene normalization task, whereby a gene mention is normalized and linked to a database record or identifier by a text-mining algorithm. Existing methods typically rely on heuristic rules based on gene and species co-occurrence in the article, but their accuracy is suboptimal. We therefore developed a high-performance method, using a novel deep learning-based framework, to classify whether there is a relation between a gene and a species. Instead of the traditional binary classification framework in which all possible pairs of genes and species in the same article are evaluated, we treat the problem as a sequence-labeling task such that only a fraction of the pairs needs to be considered. Our benchmarking results show that our approach obtains significantly higher performance compared to that of the rule-based baseline method for the species assignment task (from 65.8% to 81.3% in accuracy). The source code and data for species assignment are freely available at https://github.com/ncbi/SpeciesAssignment.
Unstructured representations in a structured brain: a cross-region analysis of the neural code
Creators: name: Wang, Shuqi
name: Posani, Lorenzo
name: Paninski, Liam
name: Fusi, Stefano
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Data analysis, machine learning and neuroinformatics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
On the Comparison of Discounted-Sum Automata with Multiple Discount Factors
Creators: name: Boker, Udi
name: Hefetz, Guy
Publisher: name: arXiv
Year: 2023
Subjects: subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Computer and information sciences

description: We look into the problems of comparing nondeterministic discounted-sum automata on finite and infinite words. That is, the problems of checking for automata $A$ and $B$ whether or not it holds that for all words $w$, $A(w)=B(w), A(w) \leq B(w)$, or $A(w) D(w)$ for all words $w$.
description: This is the full version of a chapter with the same title that appears in the FoSSaCS 2023 conference proceedings