cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Deep non-linear mixed effects modelling of voltage-gated potassium channels
Creators: name: Linkevicius, Domas
name: Chadwick, Angus
name: Stefan, Melanie I.
name: Sterratt, David C.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Integrating morphologically realistic cortical cells into the intramembrane cavitation mechanism
Creators: name: Gázquez, Joaquín
name: Tarnaud, Thomas
name: Joseph, Wout
name: Tanghe, Emmeric
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Direct imaging of monovacancy-hydrogen complexes in single graphitic layer
Creators: name: Ziatdinov, Maxim
name: Fujii, Shintaro
name: Kusakabe, Koichi
name: Kiguchi, Manabu
name: Mori, Takehiko
name: Enoki, Toshiaki
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Understanding how foreign chemical species bond to atomic vacancies in graphene layers can advance our ability to tailor the electronic and magnetic properties of defective graphenic materials. Here we use ultra-high vacuum scanning tunneling microscopy (UHV-STM) and density functional theory to identify the precise structure of hydrogenated single atomic vacancies in a topmost graphene layer of graphite and establish a connection between the details of hydrogen passivation and the electronic properties of a single atomic vacancy. Monovacancy-hydrogen complexes are prepared by sputtering of the graphite surface layer with low energy ions and then exposing it briefly to an atomic hydrogen environment. High-resolution experimental UHV-STM imaging allows us to determine unambiguously the positions of single missing atoms in the defective graphene lattice and, in combination with the ab initio calculations, provides detailed information about the distribution of low-energy electronic states on the periphery of the monovacancy-hydrogen complexes. We found that a single atomic vacancy where each sigma-dangling bond is passivated with one hydrogen atom shows a well-defined signal from the non-bonding pi-state which penetrates into the bulk with a (\sqrt 3 \times \sqrt 3)R30^ \circ periodicity. However, a single atomic vacancy with full hydrogen termination of sigma-dangling bonds and additional hydrogen passivation of the extended pi-state at one of the vacancy's monohydrogenated carbon atoms is characterized by complete quenching of low-energy localized states. In addition, we discuss the migration of hydrogen atoms at the periphery of the monovacancy-hydrogen complexes which dramatically change the vacancy's low-energy electronic properties, as observed in our low-bias high-resolution STM imaging.
description: Accepted for publication in Physical Review B
How local protein synthesis affects the size of dendritic protein pool
Creators: name: Mousaei, Kanaan
name: Bergmann, Cornelius
name: Tchumatchenko, Tatjana
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Ungewöhnliche Keramikfunde aus den Grabungen des Jahres 2008 in Bruchsal. Teil 1: Ein hortus conclusus en miniature (?)
Creators: name: Gross, Uwe
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 38, Nr. 3 (2009), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Toward a biophysically-detailed, fully-differentiable model of the mouse retina
Creators: name: Kadhim, Kyra L.
name: Huang, Ziwei
name: Deistler, Michael
name: Beck, Jonas
name: Euler, Thomas
name: Macke, Jakob H.
name: Berens, Philipp
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Genotypic variation of the bitter taste perception gene TAS2R38 and its effect on caffeine consumption and smoking behaviour
Creators: name: Phillips, Maxine
Publisher: name: figshare
Year: 2022
Subjects: Behavioural genetics
Genetics not elsewhere classified

description: Genes encoding for bitter taste receptors are primarily found on chromosome 7 and 12, clustered together in a TAS2R gene family. The bitter sensitivity depends on the alleles of the receptor gene, which vary across individuals. The TAS2R38 gene, located on chromosome 7, was used to see the correlation of the student's smoking habit and coffee consumption and their bitter taste sensitivity.
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation
Creators: name: Fan, Ge
name: Zhang, Chaoyun
name: Wang, Kai
name: Chen, Junyang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Industrial recommender systems usually employ multi-source data to improve the recommendation quality, while effectively sharing information between different data sources remain a challenge. In this paper, we introduce a novel Multi-View Approach with Hybrid Attentive Networks (MV-HAN) for contents retrieval at the matching stage of recommender systems. The proposed model enables high-order feature interaction from various input features while effectively transferring knowledge between different types. By employing a well-placed parameters sharing strategy, the MV-HAN substantially improves the retrieval performance in sparse types. The designed MV-HAN inherits the efficiency advantages in the online service from the two-tower model, by mapping users and contents of different types into the same features space. This enables fast retrieval of similar contents with an approximate nearest neighbor algorithm. We conduct offline experiments on several industrial datasets, demonstrating that the proposed MV-HAN significantly outperforms baselines on the content retrieval tasks. Importantly, the MV-HAN is deployed in a real-world matching system. Online A/B test results show that the proposed method can significantly improve the quality of recommendations.
description: accepted by ASE 2022
Electrogenic Na+/K+-ATPases constrain excitable cell activity and pose additional evolutionary pressure
Creators: name: Weerdmeester, Liz
name: Schleimer, Jan-Hendrik
name: Schreiber, Susanne
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Personalia
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 38, Nr. 3 (2009), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Local Rose Breeds Detection System Using Transfer Learning Techniques
Creators: name: Farha, Amena Begum
name: Hakim, Md. Azizul
name: Khatun, Mst. Eshita
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Flower breed detection and giving details of that breed with the suggestion of cultivation processes and the way of taking care is important for flower cultivation, breed invention, and the flower business. Among all the local flowers in Bangladesh, the rose is one of the most popular and demanded flowers. Roses are the most desirable flower not only in Bangladesh but also throughout the world. Roses can be used for many other purposes apart from decoration. As roses have a great demand in the flower business so rose breed detection will be very essential. However, there is no remarkable work for breed detection of a particular flower unlike the classification of different flowers. In this research, we have proposed a model to detect rose breeds from images using transfer learning techniques. For such work in flowers, resources are not enough in image processing and classification, so we needed a large dataset of the massive number of images to train our model. we have used 1939 raw images of five different breeds and we have generated 9306 images for the training dataset and 388 images for the testing dataset to validate the model using augmentation. We have applied four transfer learning models in this research, which are Inception V3, ResNet50, Xception, and VGG16. Among these four models, VGG16 achieved the highest accuracy of 99%, which is an excellent outcome. Breed detection of a rose by using transfer learning methods is the first work on breed detection of a particular flower that is publicly available according to the study.
description: 6 pages, 11 figures, conference
Carrot Cure: A CNN based Application to Detect Carrot Disease
Creators: name: Ray, Shree. Dolax
name: Natasha, Mst. Khadija Tul Kubra
name: Hakim, Md. Azizul
name: Nur, Fatema
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Carrot is a famous nutritional vegetable and developed all over the world. Different diseases of Carrot has become a massive issue in the carrot production circle which leads to a tremendous effect on the economic growth in the agricultural sector. An automatic carrot disease detection system can help to identify malicious carrots and can provide a guide to cure carrot disease in an earlier stage, resulting in a less economical loss in the carrot production system. The proposed research study has developed a web application Carrot Cure based on Convolutional Neural Network (CNN), which can identify a defective carrot and provide a proper curative solution. Images of carrots affected by cavity spot and leaf bright as well as healthy images were collected. Further, this research work has employed Convolutional Neural Network to include birth neural purposes and a Fully Convolutional Neural Network model (FCNN) for infection order. Different avenues regarding different convolutional models with colorful layers are explored and the proposed Convolutional model has achieved the perfection of 99.8%, which will be useful for the drovers to distinguish carrot illness and boost their advantage.
description: 7 pages, 7 figures, conference
title: Die keltische Viereckschanze von Hardheim- Gerichtstetten, Neckar-Odenwald-Kreis. Ein Meilenstein in der Erforschung einer archäologischen Denkmälergruppe
Creators: name: Wieland, Günther
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 38, Nr. 4 (2009), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Neuronal bursting from an interplay of fast voltage and slow concentration dynamics mediated by the Na+/K+-ATPase
Creators: name: Behbood, Mahraz
name: Lemaire, Louisiane
name: Schleimer, Jan-Hendrik
name: Schreiber, Susanne
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Single neurons and biophysics

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Modeling the autistic cerebellum: propagation of granule cells alteration through the granular layer microcircuit
Creators: name: Benozzo, Danilo
name: Marta, Alessio
name: De Schepper, Robin G.
name: Rizza, Martina F.
name: Masoli, Stefano
name: D'Angelo, Egidio U.
name: Casellato, Claudia
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Brain disease, network dysfunction and intervention

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Computational analysis of optogenetic inhibition of a pyramidal CA1 neuron
Creators: name: Weyn, Laila
name: Tarnaud, Thomas
name: De Becker, Xavier
name: Joseph, Wout
name: Raedt, Robrecht
name: Tanghe, Emmeric
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Brain disease, network dysfunction and intervention

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Migraine mutation of a Na+ channel induces a switch in excitability type and energetically expensive spikes in an experimentally-constrained model of fast-spiking neurons
Creators: name: Preuss, Leonardo
name: Schleimer, Jan-Hendrik
name: Lemaire, Louisiane
name: Schreiber, Susanne
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Brain disease, network dysfunction and intervention

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
AI-accelerated Materials Informatics Method for the Discovery of Ductile Alloys
Creators: name: Novikov, Ivan
name: Kovalyova, Olga
name: Shapeev, Alexander
name: Hodapp, Max
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: In computational materials science, a common means for predicting macroscopic (e.g., mechanical) properties of an alloy is to define a model using combinations of descriptors that depend on some material properties (elastic constants, misfit volumes, etc.), representative for the macroscopic behavior. The material properties are usually computed using special quasi-random structures (SQSs), in tandem with density functional theory (DFT). However, DFT scales cubically with the number of atoms and is thus impractical for a screening over many alloy compositions. Here, we present a novel methodology which combines modeling approaches and machine-learning interatomic potentials. Machine-learning interatomic potentials are orders of magnitude faster than DFT, while achieving similar accuracy, allowing for a predictive and tractable high-throughput screening over the whole alloy space. The proposed methodology is illustrated by predicting the room temperature ductility of the medium-entropy alloy Mo-Nb-Ta.
description: preprint accepted for publication
Multiparameter optimization for whole-brain personalization
Creators: name: Guasch-Morgades, Maria
name: Sanchez-Todo, Roser
name: Ruffini, Giulio
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Brain disease, network dysfunction and intervention

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Schwing- und Wendeflügelfenster. So schwungvoll wie das Wirtschaftswunder
Creators: name: Klos, Hermann
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 38, Nr. 4 (2009), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
NLO matching for ttbb production with massive b-quarks
Creators: name: Cascioli, Fabio
name: Maierhoefer, Philipp
name: Moretti, Niccolo
name: Pozzorini, Stefano
name: Siegert, Frank
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Theoretical uncertainties in the simulation of ttbb production represent one of the main obstacles that still hamper the observation of Higgs-boson production in association with top-quark pairs in the H->bb channel. In this letter we present a next-to-leading order (NLO) simulation of ttbb production with massive b-quarks matched to the Sherpa parton shower. This allows one to extend NLO predictions to arbitrary ttbb kinematics, including the case where one or both b-jets arise from collinear g->bb splittings. We find that this splitting mechanism plays an important role for the ttH(bb) analysis.
description: 4 pages, 3 figures. v2: b-jet momenta replaced by b-quark momenta in the dynamical QCD scale; related technical cut removed; numerical results updated accordingly and conclusions unchanged. References and various comments on the resummation of b-mass logarithms and on the consistency of double-splitting contributions added. Version to appear in Phys. Lett B
Computational Design of Active Kinesthetic Garments
Creators: name: Vechev, Velko
name: Hinchet, Ronan
name: Coros, Stelian
name: Thomaszewski, Bernhard
name: Hilliges, Otmar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Garments with the ability to provide kinesthetic force-feedback on-demand can augment human capabilities in a non-obtrusive way, enabling numerous applications in VR haptics, motion assistance, and robotic control. However, designing such garments is a complex, and often manual task, particularly when the goal is to resist multiple motions with a single design. In this work, we propose a computational pipeline for designing connecting structures between active components - one of the central challenges in this context. We focus on electrostatic (ES) clutches that are compliant in their passive state while strongly resisting elongation when activated. Our method automatically computes optimized connecting structures that efficiently resist a range of pre-defined body motions on demand. We propose a novel dual-objective optimization approach to simultaneously maximize the resistance to motion when clutches are active, while minimizing resistance when inactive. We demonstrate our method on a set of problems involving different body sites and a range of motions. We further fabricate and evaluate a subset of our automatically created designs against manually created baselines using mechanical testing and in a VR pointing study.
On the Stieltjes constants with respect to harmonic zeta functions
Creators: name: Kargın, Levent
name: Dil, Ayhan
name: Cenkci, Mehmet
name: Can, Mümün
Publisher: name: arXiv
Year: 2023
Subjects: subject: Number Theory (math.NT)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 11Y60, 11M41, 11B83, 41A58, 33B15

description: The aim of this paper is to investigate harmonic Stieltjes constants occurring in the Laurent expansions of the function \[ ζ_{H}\left( s,a\right) =\sum_{n=0}^{\infty}\frac{1}{\left( n+a\right) ^{s}}\sum_{k=0}^{n}\frac{1}{k+a},\text{ }\operatorname{Re}\left( s\right) >1, \] which we call harmonic Hurwitz zeta function. In particular evaluation formulas for the harmonic Stieltjes constants $γ_{H}\left( m,1/2\right) $ and $γ_{H}\left( m,1\right) $ are presented.
title: Ausstellung
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 38, Nr. 4 (2009), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Nonlinear response of the Kitaev honeycomb lattice model in a weak magnetic field
Creators: name: Negahdari, M. Kazem
name: Langari, Abdollah
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate the nonlinear response of the Kitaev honeycomb lattice model in a weak magnetic field using the theory of two-dimensional coherent spectroscopy. We observe that at the isotropic point in the non-Abelian phase of this model, the nonlinear spectrum in the 2D frequency domain consists of sharp signals that originate from the flux excitations and Majorana bound states. Signatures of different flux excitations can be clearly observed in this spectrum, such that one can observe evidences of flux states with 4-adjacent, 2-non-adjacent, and 4-far-separated fluxes, which are not visible in linear response spectroscopy such as neutron scattering experiments. Moreover, in the Abelian phase we perceive that the spectrum in the frequency domain is composed of streak signals. These signals, as in the nonlinear response of the pure Kitaev model, represent a distinct signature of itinerant Majorana fermions. However, deep in the Abelian phase whenever a Kitaev exchange coupling is much stronger than the others, the streak signals are weakened and only single sharp spots are seen in the response, which resembles the dispersionless response of the conventional toric code.
description: 15 pages, 9 figures
Infinite computations with random oracles
Creators: name: Carl, Merlin
name: Schlicht, Philipp
Publisher: name: arXiv
Year: 2013
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics

description: We consider the following problem for various infinite time machines. If a real is computable relative to large set of oracles such as a set of full measure or just of positive measure, a comeager set, or a nonmeager Borel set, is it already computable? We show that the answer is independent from ZFC for ordinal time machines (OTMs) with and without ordinal parameters and give a positive answer for most other machines. For instance, we consider, infinite time Turing machines (ITTMs), unresetting and resetting infinite time register machines (wITRMs, ITRMs), and α-Turing machines for countable admissible ordinals α.
Non-uniformly local tent spaces
Creators: name: Amenta, Alex
name: Kemppainen, Mikko
Publisher: name: arXiv
Year: 2013
Subjects: subject: Functional Analysis (math.FA)
subject: Classical Analysis and ODEs (math.CA)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 42B35 (Primary), 58G30 (Secondary)

description: We develop a theory of `non-uniformly local' tent spaces on metric measure spaces. As our main result, we give a remarkably simple proof of the atomic decomposition.
description: 18 pages, revised version, to appear in Publicacions Matem\`atiques
title: Zeitschichten: Königshof und frühe Stadt Bruchsal im hohen Mittelalter
Creators: name: Gross, Uwe
name: Scheschkewitz, Jonathan
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 39, Nr. 4 (2010), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks
Creators: name: Yang, Liu
name: Yang, Simon X.
name: Li, Yun
name: Lu, Yinzhi
name: Guo, Tan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
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: Traditional machine learning techniques have been widely used to establish the trust management systems. However, the scale of training dataset can significantly affect the security performances of the systems, while it is a great challenge to detect malicious nodes due to the absence of labeled data regarding novel attacks. To address this issue, this paper presents a generative adversarial network (GAN) based trust management mechanism for Industrial Wireless Sensor Networks (IWSNs). First, type-2 fuzzy logic is adopted to evaluate the reputation of sensor nodes while alleviating the uncertainty problem. Then, trust vectors are collected to train a GAN-based codec structure, which is used for further malicious node detection. Moreover, to avoid normal nodes being isolated from the network permanently due to error detections, a GAN-based trust redemption model is constructed to enhance the resilience of trust management. Based on the latest detection results, a trust model update method is developed to adapt to the dynamic industrial environment. The proposed trust management mechanism is finally applied to secure clustering for reliable and real-time data transmission, and simulation results show that it achieves a high detection rate up to 96%, as well as a low false positive rate below 8%.
title: „Westwall“ – Weder Schutzwall noch Baukunst. Die militärischen Westbefestigungen des Nationalsozialismus in Baden-Württemberg
Creators: name: Kieser, Clemens
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 39, Nr. 4 (2010), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Slow Manifold Dynamics for Working Memory are near Continuous Attractors
Creators: name: Ságodi, Ábel
name: Martin, Guillermo S.
name: Sokół, Piotr A.
name: Park, Il M.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Ausstellungen
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2013

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 39, Nr. 4 (2010), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy
Creators: name: Farcomeni, Alessio
name: Scacciatelli, Daria
Publisher: name: arXiv
Year: 2013
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: We propose a general and flexible capture-recapture model in continuous time. Our model incorporates time-heterogeneity, observed and unobserved individual heterogeneity, and behavioral response to capture. Behavioral response can possibly have a delayed onset and a finite-time memory. Estimation of the population size is based on the conditional likelihood after use of the EM algorithm. We develop an application to the estimation of the number of adult cannabinoid users in Italy.
description: Published in at http://dx.doi.org/10.1214/13-AOAS672 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Pure Seminoma Subtyping Using Computational Approaches
Creators: name: Medvedev, Kirill E.
name: Savelyeva, Anna V.
name: Bagrodia, Aditya
name: Jia, Liwei
name: Grishin, Nick V.
Publisher: name: The University of Texas at Austin
Year: 2022
Subjects: cancer

description: Testicular germ cell tumors (TGCT) being the most common solid malignancy in adolescent and young men, are second in terms of the average life years lost per person dying of cancer. Two major types of TGCTs are seminoma and non-seminoma (NSE). Management of patients with seminoma includes orchiectomy, platinum-based chemotherapy or radiation therapy. Despite a high patient survival rate, current treatments significantly decrease patients’ quality of life and lead to around 40 severe side effects. We conducted a computational study of 64 pure seminomas (the most common subtype of TGCTs) available at TCGA. Consensus clustering approach of seminoma samples based on transcriptomic data identified two distinct subtypes that showed differences in pluripotency stage, activity of double stranded DNA breaks repair mechanisms, rates of loss of heterozygosity, DNA methylation, expression of lncRNA associated with cisplatin resistance and level of lymphocytes infiltration. Seminoma subtype2 shows signs of differentiation into NSE and therefore may have higher resistance to platinum-based chemotherapy. Despite of the high level of lymphocyte infiltration, TGCTs immunotherapy clinical trials were shut down due to lacking clinical efficacy. We identified 20 significantly overexpressed genes in subtype2 that are related to senescence-associated secretory phenotype. This fact and data on altered pathways in subtype2 allow us to hypothesize that senescence of seminoma infiltrating lymphocytes can be one of the reasons for immunotherapy failure. Using all available histopathological slides of pure seminoma at TCGA we developed test version of deep learning (DL) decision making tool for identification of seminoma subtypes using only slide images (accuracy 0.864). As future direction we plan to develop DL tool for identification of seminoma subtypes using whole slide images (WSI). This approach will simplify utilization of this tool by pathologists but also requires significantly more powerful computational resources and we anticipate to use TACC resources for this task.
Phanaeus moroni Arnaud 2001
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 moroni

description: Phanaeus moroni Arnaud, 2001 Recorded Distribution: MEXICO: Veracruz — San Andrés Tuxtla, Catemaco. Altitude: from 269 to 392 m a.s.l. Biomes: Tropical & Subtropical Moist Broadleaf Forests. Ecorregions: NEOTROPIC: Sierra de los Tuxtlas. Predicted distribution: This species distributes from 17.93° to 20.03° latitude in an area of 1,974 Km2. Its predicted distribution has a mean annual temperature of 23.84-25.43° C with a maximum difference of temperature of 16.06° C during the year and mean precipitation of 1842-2350 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 page 69, DOI: 10.5281/zenodo.7387492
title: Mitteilungen
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 3 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Identifying task-specific dynamics in recurrent neural networks using Dynamical Similarity Analysis
Creators: name: Ghalambor, Alireza
name: Fakharian, Mohammad Taha
name: Zeraati, Roxana
name: Safavi, Shervin
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
Edge-maximality of power graphs of finite cyclic groups
Creators: name: Curtin, Brian
name: Pourgholi, Gholam Reza
Publisher: name: arXiv
Year: 2013
Subjects: subject: Group Theory (math.GR)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C25, 20F99

description: We show that among all finite groups of any given order, the cyclic group of that order has the maximum number of edges in its power graph. Contains corrections to published version.
description: second set of corrections to technical lemmas, no changes to main result
WIMP-nucleon scattering with heavy WIMP effective theory
Creators: name: Hill, Richard J.
name: Solon, Mikhail P.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: The discovery of a Standard Model-like Higgs boson and the hitherto absence of evidence for other new states may indicate that if WIMPs comprise cosmological dark matter, they are heavy compared to electroweak scale particles, $M \gg m_{W^\pm}, m_{Z^0}$. In this limit, the absolute cross section for a WIMP of given electroweak quantum numbers to scatter from a nucleon becomes computable in terms of Standard Model parameters. We develop effective field theory techniques to analyze the heavy WIMP limit of WIMP-nucleon scattering, and present the first complete calculation of the leading spin-independent cross section in Standard Model extensions consisting of one or two electroweak $SU(2)_W \times U(1)_Y$ multiplets.
description: 5 pages, 5 figures. v2: modified discussion, additional section with 1 figure, PRL version
title: Gesamtanlage „Weststadt Heidelberg“. Ein exemplarisches Beispiel gründerzeitlicher Stadterweiterung
Creators: name: Hagen, Timo
name: Keller, Daniel
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 41, Nr. 4 (2012), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Mode-by-mode fluid dynamics for relativistic heavy ion collisions
Creators: name: Floerchinger, Stefan
name: Wiedemann, Urs Achim
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We propose to study the fluid dynamic propagation of fluctuations in relativistic heavy ion collisions differentially with respect to their azimuthal, radial and longitudinal wavelength. To this end, we introduce a background-fluctuation splitting and a Bessel-Fourier decomposition of the fluctuating modes. We demonstrate how the fluid dynamic evolution of realistic events can be build up from the propagation of individual modes. We describe the main elements of this mode-by-mode fluid dynamics, and we discuss its use in the fluid dynamic analysis of heavy ion collisions. As a first illustration, we quantify to what extent only fluctuations of sufficiently large radial wave length contribute to harmonic flow coefficients. We find that fluctuations of short wave length are suppressed not only due to larger dissipative effects, but also due to a geometrical averaging over the freeze-out hyper surface. In this way, our study further substantiates the picture that harmonic flow coefficients give access to a coarse-grained version of the initial conditions for heavy ion collisions, only.
description: 6 pages, 5 figures, published version
Multi-scale single-cycle analysis of cortex-wide wave dynamics reveals complex spatio-temporal structure
Creators: name: Umurzakova, Anna
name: Garcia-Cortadella, Ramon
name: Schweisig, Gerrit
name: Shahidi, Arash
name: Garrido, Jose A.
name: Sirota, Anton
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Inhalt
Creators: name: Redaktion, Die
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
Reconsideration of local spatial connectivity and target specificity in the cortical microcircuit based on volumetric reconstruction
Creators: name: Kurth, Anno C.
name: Albers, Jasper
name: Diesmann, Markus
name: Van Albada, Sacha J.
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Creators: name: Tanabe, Ryoji
Publisher: name: arXiv
Year: 2023
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Although the population size is an important parameter in evolutionary multi-objective optimization (EMO), little is known about its influence on preference-based EMO (PBEMO). The effectiveness of an unbounded external archive (UA) in PBEMO is also poorly understood, where the UA maintains all non-dominated solutions found so far. In addition, existing methods for postprocessing the UA cannot handle the decision maker's preference information. In this context, first, this paper proposes a preference-based postprocessing method for selecting representative solutions from the UA. Then, we investigate the influence of the UA and population size on the performance of PBEMO algorithms. Our results show that the performance of PBEMO algorithms (e.g., R-NSGA-II) can be significantly improved by using the UA and the proposed method. We demonstrate that a smaller population size than commonly used is effective in most PBEMO algorithms for a small budget of function evaluations, even for many objectives. We found that the size of the region of interest is a less important factor in selecting the population size of the PBEMO algorithms on real-world problems.
description: This is an accepted version of a paper published in the proceedings of GECCO 2023
title: Siedlung „Eiernest“ in Stuttgart-Heslach. Zurück zum einheitlichen Erscheinungsbild
Creators: name: Frank-Sohnrey, Claudia
name: Schreglmann, Roland
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 42, Nr. 3 (2013), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Discovering Pathophysiologic Networks of Temporal Lobe Epilepsy Using the BrainMap Community Portal through the Texas Advanced Computing Center
Creators: name: Towne, Jonathan M.
name: Eslami, Vahid
name: Fox, P. Mickle
name: Cavazos, José E.
name: Fox, Peter T.
Publisher: name: The University of Texas at Austin
Year: 2022
Subjects: neuroscience
epilepsy

description: Temporal lobe epilepsy (TLE) seizures cause regional damage, detectable on imaging of brain structure (VBM) and function (VBM). Damage is mediated by aberrant neuronal activity propagating along existing network architecture. TLE networks remain ill-defined and are of great interest to diagnostic and therapeutic development. Independent component analysis (ICA) can detect neural-networks by computing multi-variate co-occurrence patterns across a volume and is validated for coordinate-based meta-analysis (CBMA/Meta-ICA). Meta-ICA is methodologically distinct from mass-univariate meta-analytics (ALE) that simply detect robust regions/hubs of pathology. Although meta-ICA is typically used to extract canonical/healthy networks, we applied meta-ICA to VBM/VBP reports of TLE-pathology, to infer TLE-specific network anomalies. To identify TLE-networks, BrainMap Community Portal applications were used to access coordinate-results (Sleuth) of 74 experiments (n=1599), model coordinates as spatial probability distributions (weighted by sample-size) and apply ICA (Meta-ICA) at dimensions:d=1&2 (per sample-size restrictions), computing coordinate co-occurrence within and across experiments. TLE pathology-hubs were computed (GingerALE) separately as spatial convergence across studies (ALE), agnostic to within-study co-occurrence. Two anatomically distinct TLE-networks were identified (i.e. no overlap, excepting ALE hubs). Network-IC1 included brain-regions involved in language processing (speech-execution:Z=6.95; speech-cognition:Z=4.10) at d=2, with similar results (spatial-correlation:R=0.89) at d=1. Network-IC2 included brain-regions involved in emotion (reward:Z=4.76) and cognition (attention:Z=4.02; memory:Z=3.80). Meta-ICA implicated a superset of hub regions from GingerALE (IC1-tonsil; IC2-pulvinar, caudate, superior-temporal; Both-hippocampus, MDN-thalamus), uniquely identifying anterior nucleus, insula, supramarginal, and pre/paracentral gyri. Neither network matched canonical networks. VBM/VBP distribution to ICs was homogenous (χ2:p=0.07). Meta-ICA networks align with TLE symptom profiles. IC1 (verbal/visual) disruption can impair communication and cause visual hallucinosis. IC2 (limbic) aligns with social-emotional deficits; dyscognitive seizures disrupt cognition (attention/memory), impair awareness, and induce postictal amnesia. These findings reveal two novel TLE-networks, debut the first low-d meta-ICA detection of disease-networks, and highlight a BrainMap Community Portal use-case with implications in biomarker development within/beyond epilepsy pathologies.
Universal Properties of the Langevin Diffusion Coefficients
Creators: name: Giataganas, Dimitrios
name: Soltanpanahi, Hesam
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We show that in generic isotropic holographic theories the longitudinal Langevin diffusion coefficient along the string motion is larger compared to that of the transverse direction. We argue that this is a universal relation and we derive the generic conditions in order to be satisfied. A way to violate the relation is to consider anisotropic gauge/gravity dualities. We give an explicit example of this violation where the noise along the transverse direction is larger than the noise occurring along the quark motion. Moreover, we derive the effective world-sheet temperature for any generic theory and then the conditions for negative excess noise. We argue that isotropic theories can not have negative excess noise and we additionally remark that these conditions are difficult to get satisfied, indicating positivity of the excess noise, even in a large class of anisotropic holographic theories.
description: 5 pages, double column format; v3:Published version
Flattened Graph Convolutional Networks For Recommendation
Creators: name: Xu, Yue
name: Chen, Hao
name: Deng, Zengde
name: Bei, Yuanchen
name: Huang, Feiran
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Graph Convolutional Networks (GCNs) and their variants have achieved significant performances on various recommendation tasks. However, many existing GCN models tend to perform recursive aggregations among all related nodes, which can arise severe computational burden to hinder their application to large-scale recommendation tasks. To this end, this paper proposes the flattened GCN~(FlatGCN) model, which is able to achieve superior performance with remarkably less complexity compared with existing models. Our main contribution is three-fold. First, we propose a simplified but powerful GCN architecture which aggregates the neighborhood information using one flattened GCN layer, instead of recursively. The aggregation step in FlatGCN is parameter-free such that it can be pre-computed with parallel computation to save memory and computational cost. Second, we propose an informative neighbor-infomax sampling method to select the most valuable neighbors by measuring the correlation among neighboring nodes based on a principled metric. Third, we propose a layer ensemble technique which improves the expressiveness of the learned representations by assembling the layer-wise neighborhood representations at the final layer. Extensive experiments on three datasets verify that our proposed model outperforms existing GCN models considerably and yields up to a few orders of magnitude speedup in training efficiency.
description: arXiv admin note: text overlap with arXiv:2006.04164
Neocortical Modulation of Sharp Waves in a Rate Model of CA3
Creators: name: Kelemen, Atilla B.
name: Masserini, Stefano
name: Kempter, Richard
Publisher: name: G-Node
Year: 2024
Subjects: Computational Neuroscience
Networks and dynamical systems

description: Bernstein Conference 2024 abstract. https://bernstein-conference.de
title: Stefan Burmeister: Geschlecht, Alter und Herrschaft in der Späthallstattzeit Württembergs, 2000
Creators: name: Koch, Julia K.
Publisher: name: University Library Heidelberg
Year: 2014

description: Rezension zu: Stefan Burmeister: Geschlecht, Alter und Herrschaft in der
Späthallstattzeit Württembergs Tübinger Schriften zur Ur- und
Frühgeschichtlichen Archäologie 4. Herausgegeben von M.K.H. Eggert.
Waxmann Verlag. Münster 2000. 255 Seiten mit 48 Tafeln. ISBN 3893253874.
Spatiotemporally complete condensation in a non-Poissonian exclusion process
Creators: name: Concannon, R. J.
name: Blythe, R. A.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate a non-Poissonian version of the asymmetric simple exclusion process, motivated by the observation that coarse-graining the interactions between particles in complex systems generically leads to a stochastic process with a non-Markovian (history-dependent) character. We characterize a large family of one-dimensional hopping processes using a waiting-time distribution for individual particle hops. We find that when its variance is infinite, a real-space condensate forms that is complete in space (involves all particles) and time (exists at almost any given instant) in the thermodynamic limit. The mechanism for the onset and stability of the condensate are both rather subtle, and depends on the microscopic dynamics subsequent to a failed particle hop attempts.
description: 5 pages, 5 figures. Version 2 to appear in PRL
Dynamics of a solitonic vortex in an anisotropically trapped superfluid
Creators: name: Llorente, J. M. Gomez
name: Plata, J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We analytically study the dynamics of a solitonic vortex (SV) in a superfluid confined in a non-axisymmetric harmonic trap. The study provides a framework for analyzing the role of the trap anisotropy in the oscillation of SVs observed in recent experiments on atomic Bose and Fermi superfluids. The emergence of common and statistics-dependent features is traced in a unified approach to both types of fluid. Our description, built in the hydrodynamic formalism, is based on a Lagragian approach which incorporates the vortex location as dynamical parameters of a variational ansatz. Previous operative Hamiltonian pictures are recovered through a canonically traced procedure. Our results improve the understanding of the experimental findings. Some of the observed features are shown to be specific to the tri-axial anisotropy of the trap. In particular, we characterize the nontrivial dependence of the oscillation frequency on the trapping transversal to the vortical line. The study reveals also the crucial role played by the nonlinear character of the dynamics in the observed oscillation: for the considered experimental conditions, the frequency, and, in turn, the effective inertial mass of the vortex, are found to significantly depend on the amplitude of the generated motion. It is also uncovered how the coupling with collective modes of the fluid induces a non-negligible shift in the oscillation frequency. The appearance of fine-structure features in the SV trajectory is predicted.
Towards Automated 3D Search Planning for Emergency Response Missions
Creators: name: Papaioannou, Savvas
name: Kolios, Panayiotis
name: Theocharides, Theocharis
name: Panayiotou, Christos G.
name: Polycarpou, Marios M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The ability to efficiently plan and execute automated and precise search missions using unmanned aerial vehicles (UAVs) during emergency response situations is imperative. Precise navigation between obstacles and time-efficient searching of 3D structures and buildings are essential for locating survivors and people in need in emergency response missions. In this work we address this challenging problem by proposing a unified search planning framework that automates the process of UAV-based search planning in 3D environments. Specifically, we propose a novel search planning framework which enables automated planning and execution of collision-free search trajectories in 3D by taking into account low-level mission constrains (e.g., the UAV dynamical and sensing model), mission objectives (e.g., the mission execution time and the UAV energy efficiency) and user-defined mission specifications (e.g., the 3D structures to be searched and minimum detection probability constraints). The capabilities and performance of the proposed approach are demonstrated through extensive simulated 3D search scenarios.
description: Journal of Intelligent & Robotic Systems 103.1 (2021): 2