cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Open Access Repositories - Der grüne Weg zum Open Access
Creators: name: Herb, Ulrich
Publisher: name: Leibniz Institut für Psychologie (ZPID)
Year: 2010
Subjects: subject: Zugang
subject: Wissenschaft
subject: Information
subject: PsyDok
subject: Volltextserver
subject: Fachspezifischer Server
subject: Open Access
subject: Toll Access
subject: Self-Publishing
subject: Self-Archiving
subject: 020

description: ie entgeltfreie Zugänglichmachung wissenschaftlicher Werke auf Repositories stellt den so genannten grünen Weg des Open Access dar, teils wird diese Open-Access-Variante auch als Self-Archiving bezeichnet. Auf Repositories werden in aller Regel Werke zugänglich gemacht, die in anderen Kontexten produziert werden, etwa als Artikel zur Publikation in einem Journal. Repositories können entweder auf eine Institution oder auf ein Fach ausgerichtet sein. Der Beitrag informiert über Spezifika des grünen Wegs, rechtliche Rahmenbedingungen für Autoren bei der Nutzung eines Repositorys, stellt das Psychologie-Repository PsyDok vor, informiert über Funktionalitäten, die Repositories mit administrativen und wissenschaftlichen Arbeitsumgebungen verbinden, und gibt einen Ausblick auf sich abzeichnende Weiterentwicklungen, wie etwa die Möglichkeit, nutzungsbasierte Verfahren der Qualitätsmessung elektronischer Dokumente zu erproben.
Quantum Constraints in Free Particle Motion: A New Perspective on Kinetic Energy Uncertainty and the Critical Velocity.
Creators: name: ARRABAL, HUMBERTO
Publisher: name: Zenodo
Year: 2025

description: Quantum mechanics imposes inherent limitations on the precision of simultaneous measurements ofconjugate variables, as formalized by the Heisenberg Uncertainty Principle (HUP). These constraintsextend beyond position and momentum to define fundamental energy scales for free particles. Thiswork introduces the Critical Velocity—a universal threshold speed below which quantum coherencecannot persist over a defined observational timescale. This concept bridges quantum theory andexperimental design, with implications for low-energy quantum systems, decoherence studies, and thequantum-classical transition.
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
Creators: name: Sulaiman, Marwah
name: Shehabeldin, Zahraa
name: Fahmy, Israa
name: Barakat, Mohammed
name: El-Naggar, Mohammed
name: Hussein, Dareen
name: Youssef, Moustafa
name: Eraqi, Hesham M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Recently, video super resolution (VSR) has become a very impactful task in the area of Computer Vision due to its various applications. In this paper, we propose Recurrent Back-Projection Generative Adversarial Network (RBPGAN) for VSR in an attempt to generate temporally coherent solutions while preserving spatial details. RBPGAN integrates two state-of-the-art models to get the best in both worlds without compromising the accuracy of produced video. The generator of the model is inspired by RBPN system, while the discriminator is inspired by TecoGAN. We also utilize Ping-Pong loss to increase temporal consistency over time. Our contribution together results in a model that outperforms earlier work in terms of temporally consistent details, as we will demonstrate qualitatively and quantitatively using different datasets.
title: Regional Invasive Species & Climate Change Management Challenge: Do Not Sell! Ornamental invasive plants to avoid with climate change
Creators: name: Allen, Jenica M.
name: Beaury, Evelyn M.
name: Mazzuchi, Julia
name: Nelson, Michael
name: O'Uhuru, Ayodele
name: Bradley, Bethany A.
Publisher: name: University of Massachusetts Amherst
Year: 2022

description: Climate change is likely to bring dozens of new invasive plants to the Northeast. Despite their invasive tendencies, many of these species are sold as ornamental plants in slightly warmer climates, but are not yet a large part of nursery sales in the Northeast. By avoiding these species, we protect our native ecosystems from future invasive species impacts. We also present alternative native plants that provide similar aesthetics while also supporting biodiversity.
Systematics of the low-energy electric dipole strength in the Sn isotopic chain
Creators: name: Markova, M.
name: von Neumann-Cosel, P.
name: Litvinova, E.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We present a systematic study of the mass dependence of the low-energy electric dipole strength (LEDS) in Sn isotopes in the range $ A = 111 - 124$ based on data obtained with the Oslo method and with relativistic Coulomb excitation in forward-angle ($p,p^\prime$) scattering. The combined data cover an energy range of $2 - 20$ MeV which permits, with minimal assumptions, a decomposition of the total strength into the contribution from the low-energy tail of the isovector giant dipole resonance (IVGDR) and possible resonance-like structures on top of it. In all cases, a resonance peaked at about 8.3 MeV is observed, exhausting an approximately constant fraction of the Thomas-Reiche-Kuhn (TRK) sum rule with a local maximum at $^{120}$Sn which might be related to shell structure effects. For heavier isotopes ($A \geq 118$) a consistent description of the data requires the inclusion of a second resonance centered at 6.5 MeV, representing the isovector response of the pygmy dipole resonance (PDR). Its strength corresponds to a small fraction of the total LEDS only and shows an approximately linear dependence on mass number. The experimental results are also compared to ab initio-based microscopic calculations to investigate the importance of an inclusion of quasiparticle vibration coupling (qPVC) for a realistic description of the LEDS. A possible interpretation of the experimentally observed two-bump structure is given.
description: 13 pages, 6 figures
Entanglement Properties of Gauge Theories from Higher-Form Symmetries
Creators: name: Xu, Wen-Tao
name: Rakovszky, Tibor
name: Knap, Michael
name: Pollmann, Frank
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Lattice (hep-lat)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We explore the relationship between higher-form symmetries and entanglement properties in discrete lattice gauge theories, which can exhibit both topologically ordered phases and higher-form symmetry-protected topological (SPT) phases. Our study centers on generalizing the Fradkin-Shenker model, where the Gauss law constraint can be either emergent or exact. The phase diagram includes a topologically ordered phase and a non-trivial SPT phase protected by a 1-form and a 0-form symmetry. We obtain the following key findings: First, the entanglement properties depend on whether the 1-form symmetries and the Gauss law are exact or emergent. For the emergent Gauss law, the entanglement spectrum (ES) of the non-trivial SPT phase exhibits degeneracies, which are robust at low energies against weak perturbations that explicitly break the exact 1-form symmetry. When the Gauss law and the 1-form symmetry are both exact, the ES degeneracy is extensive. This extensive degeneracy is fragile and can be removed completely by infinitesimal perturbations that explicitly break the exact 1-form symmetry while keeping the Gauss law exact. Second, we consider the ES in the topologically ordered phase where 1-form symmetries are spontaneously broken. In contrast to the ES of the non-trivial SPT phase, we find that spontaneous higher-form symmetry breaking removes "half" of the ES levels, leading to a non-degenerate ES in the topologically ordered phase in general. Third, we derive a connection between spontaneous higher-form symmetry breaking and the topological entanglement entropy (TEE). Using this relation, we investigate the entanglement entropy that can be distilled in the deconfined phase of the original Fradkin-Shenker model using gauge-invariant measurements. We show that the TEE is robust against the measurement when the 1-form symmetry is emergent but fragile when the 1-form symmetry is exact.
description: Add the ES transition near the 1-form SPT phase. Add understanding of our results from 1-form symmetries
Simplest bipartite perfect quantum strategies
Creators: name: Cabello, Adán
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A bipartite perfect quantum strategy (BPQS) allows two players who cannot communicate with each other to always win a nonlocal game. BPQSs are rare but fundamental in light of some recent results in quantum information, computation, and foundations. A more than 40-year-old open problem is how many inputs (measurement settings) a BPQS requires. A related problem is how many inputs are needed if, in addition, the quantum system has minimum dimension. A third, apparently unrelated, problem is what is the connection between BPQSs and state-independent contextuality, which inspired the first BPQSs. Here, we solve the third problem: we prove that {\em every} BPQS defines a Kochen-Specker set. We use this result to identify the BPQS with the smallest number of inputs, both in the general case and in the case of minimum dimension, and solve some related problems. We conjecture that the BPQSs presented here are the solutions to the first two problems.
description: 6 pages, 2 figures
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
Creators: name: Geng, Yuxia
name: Chen, Jiaoyan
name: Zeng, Yuhang
name: Chen, Zhuo
name: Zhang, Wen
name: Pan, Jeff Z.
name: Wang, Yuxiang
name: Xu, Xiaoliang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Both graph structures and textual information play a critical role in Knowledge Graph Completion (KGC). With the success of Pre-trained Language Models (PLMs) such as BERT, they have been applied for text encoding for KGC. However, the current methods mostly prefer to fine-tune PLMs, leading to huge training costs and limited scalability to larger PLMs. In contrast, we propose to utilize prompts and perform KGC on a frozen PLM with only the prompts trained. Accordingly, we propose a new KGC method named PDKGC with two prompts -- a hard task prompt which is to adapt the KGC task to the PLM pre-training task of token prediction, and a disentangled structure prompt which learns disentangled graph representation so as to enable the PLM to combine more relevant structure knowledge with the text information. With the two prompts, PDKGC builds a textual predictor and a structural predictor, respectively, and their combination leads to more comprehensive entity prediction. Solid evaluation on three widely used KGC datasets has shown that PDKGC often outperforms the baselines including the state-of-the-art, and its components are all effective. Our codes and data are available at https://github.com/genggengcss/PDKGC.
description: published in Expert Systems With Applications, 2025
BOSHLANG'ICH SINFLARDA KITOBXONLIKNI RIVOJLANTIRISHNING ASOSIY MEZONLARI
Creators: name: Tengelova, Dilfuza
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada “Kіtob – beg‘araz o‘qіtuvchі” ekanlіgіnі hіsobga olіb, boshlang`іch sіnf o‘quvchіlarіda badііy-estetіk motіvlarnі shakllantіrіshda kіtob mutolaasі o‘rnі va kіtobxonlіk madanіyatіdan foydalanіsh samaradorlіgі tahlіl qіlіnadі.
MPEC 2024-M96 : 2024 MT
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 MT

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Comparing And Contrasting Threat Assessments Of Plant Species At The Global And Sub‑Global Level
Creators: name: Mounce, Ross
name: Rivers, Malin
name: Sharrock, Suzanne
name: , Paul Smith
name: Brockington, Samuel
Publisher: name: Zenodo
Year: 2017

description: ABSTRACT

Evidence-based assessments of extinction risk are established tools used to inform the

conservation of plant species, and form the basis of key targets within the framework of the

Global Strategy for Plant Conservation (GSPC). An overall picture of plants threat assessments

is challenging due to the use of a variety of methodologies and range in scope from global to

subnational. In this study, we quantify the state of progress in assessing the extinction risk of all

land plants, determine the key geographic and taxonomic gaps with respect to our understanding

of plant extinction risk, and evaluate the impact of different sources and methodologies on the

utility of plant assessments. To this end, we have analyzed a cleaned dataset compiled from

IUCN Red List of threatened Species and Regional Red Lists. We reveal that there are

assessments available for 89,810 distinct species or 25% of all accepted land plant species.

However unlike with other major organismal lineages the bulk of the plant species assessments

are derived from Regional Red Lists, and not the global IUCN Red List. We demonstrate that

this bias towards regional assessments results in distinct taxonomic and geographic strengths and

weaknesses, and we identify substantial taxonomic and geographic gaps in the assessment

coverage. With species that have been assessed in common at both global and regional levels, we

explore the implications of deriving threat assessments from different sources. We find that half

of global and regional assessments do not agree on the exact category of extinction risk for a

species. As expected, regional assessments tend to assign a higher risk of extinction, however

worryingly regional assessments underestimate extinction risk with almost equal frequency. We

conclude with recommended interventions, but support the suggestion that all threat assessments

3 should be pooled to provide a more data for GSPC targets.
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
Creators: name: Pandey, Shashi Raj
name: Pinson, Pierre
name: Popovski, Petar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: Data markets facilitate decentralized data exchange for applications such as prediction, learning, or inference. The design of these markets is challenged by varying privacy preferences as well as data similarity among data owners. Related works have often overlooked how data similarity impacts pricing and data value through statistical information leakage. We demonstrate that data similarity and privacy preferences are integral to market design and propose a query-response protocol using local differential privacy for a two-party data acquisition mechanism. In our regression data market model, we analyze strategic interactions between privacy-aware owners and the learner as a Stackelberg game over the asked price and privacy factor. Finally, we numerically evaluate how data similarity affects market participation and traded data value.
description: Submitted to IEEE Transactions on Neural Networks and Learning Systems
D1.6: Minutes Of 3Rd Advisory Board Meeting
Creators: name: Syropoulou, Panagiota
name: Vogiatzi, Maria
name: Keratidis, Christodoulos
Publisher: name: Zenodo
Year: 2017

description: The current deliverable is the third report on the activities of the STEP project’s External Expert Advisory Board (EEAB). The members of the EEAB were contacted either through physical meetings or via Internet using WebEx. This deliverable summarizes the recommendations that these experts have provided to the project consortium from M15 (August 2016) until M22 (March 2017). During the previous months of the project’s implementation, several activities with the members of the EEAB have been organized and the feedback gained was reported in the deliverables D1.2 and D1.5.
D1.7: Minutes Of 4Th Advisory Board Meeting
Creators: name: Vogiatzi, Maria
name: Keratidis, Christodoulos
Publisher: name: Zenodo
Year: 2017

description: The current deliverable is the fourth report on the activities of the STEP project’s External Expert Advisory Board (EEAB). The members of the EEAB were contacted either through physical meetings or via Internet. This deliverable summarizes the recommendations that these experts have provided to the project consortium from M23 (April 2017) until M30 (November 2017). During the previous months of the project implementation, several activities with the members of the EEAB have been organized and the feedback gained was reported in the deliverables D1.2, D1.5 and D1.6.
Research Misconduct and the Development of Article Retractions in Psychology and its Fields
Creators: name: Günther, Armin
Publisher: name: ZPID (Leibniz Institute for Psychology)
Year: 2016
Subjects: subject: Professional Ethics; Research; Scientists; Professional Communication; Psychology; Psychologists; Fraud
subject: 150

description: Vortrag auf dem 50. Kongress der Deutschen Gesellschaft für Psychologie, Universität Leipzig, Leipzig, Germany 18.–22. Sept. 2016
A Transformer Model for Symbolic Regression towards Scientific Discovery
Creators: name: Lalande, Florian
name: Matsubara, Yoshitomo
name: Chiba, Naoya
name: Taniai, Tatsunori
name: Igarashi, Ryo
name: Ushiku, Yoshitaka
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Symbolic Regression (SR) searches for mathematical expressions which best describe numerical datasets. This allows to circumvent interpretation issues inherent to artificial neural networks, but SR algorithms are often computationally expensive. This work proposes a new Transformer model aiming at Symbolic Regression particularly focused on its application for Scientific Discovery. We propose three encoder architectures with increasing flexibility but at the cost of column-permutation equivariance violation. Training results indicate that the most flexible architecture is required to prevent from overfitting. Once trained, we apply our best model to the SRSD datasets (Symbolic Regression for Scientific Discovery datasets) which yields state-of-the-art results using the normalized tree-based edit distance, at no extra computational cost.
description: Accepted for oral presentation at NeurIPS2023 AI4Science Workshop. OpenReview: https://openreview.net/forum?id=AIfqWNHKjo
AI-guided inverse design and discovery of recyclable vitrimeric polymers
Creators: name: Zheng, Yiwen
name: Thakolkaran, Prakash
name: Biswal, Agni K.
name: Smith, Jake A.
name: Lu, Ziheng
name: Zheng, Shuxin
name: Nguyen, Bichlien H.
name: Kumar, Siddhant
name: Vashisth, Aniruddh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Vitrimer is a new, exciting class of sustainable polymers with the ability to heal due to their dynamic covalent adaptive network that can go through associative rearrangement reactions. However, a limited choice of constituent molecules restricts their property space, prohibiting full realization of their potential applications. To overcome this challenge, we couple molecular dynamics (MD) simulations and a novel graph variational autoencoder (VAE) machine learning model for inverse design of vitrimer chemistries with desired glass transition temperature (Tg) and synthesize a novel vitrimer polymer. We build the first vitrimer dataset of one million chemistries and calculate Tg on 8,424 of them by high-throughput MD simulations calibrated by a Gaussian process model. The proposed novel VAE employs dual graph encoders and a latent dimension overlapping scheme which allows for individual representation of multi-component vitrimers. By constructing a continuous latent space containing necessary information of vitrimers, we demonstrate high accuracy and efficiency of our framework in discovering novel vitrimers with desirable Tg beyond the training regime. To validate the effectiveness of our framework in experiments, we generate novel vitrimer chemistries with a target Tg = 323 K. By incorporating chemical intuition, we synthesize a vitrimer with Tg of 311-317 K, and experimentally demonstrate healability and flowability. The proposed framework offers an exciting tool for polymer chemists to design and synthesize novel, sustainable vitrimer polymers for a facet of applications.
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
Creators: name: Mallick, Samuel
name: Airaldi, Filippo
name: Dabiri, Azita
name: De Schutter, Bart
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents a novel approach to multi-agent reinforcement learning (RL) for linear systems with convex polytopic constraints. Existing work on RL has demonstrated the use of model predictive control (MPC) as a function approximator for the policy and value functions. The current paper is the first work to extend this idea to the multi-agent setting. We propose the use of a distributed MPC scheme as a function approximator, with a structure allowing for distributed learning and deployment. We then show that Q-learning updates can be performed distributively without introducing nonstationarity, by reconstructing a centralized learning update. The effectiveness of the approach is demonstrated on two numerical examples.
description: 12 pages, 8 figures, accepted for publication in Automatica, code can be found at https://github.com/SamuelMallick/dmpcrl-concept/tree/paper-2023
DataWiz: Ein Assistenzsystem zur forschungsbegleitenden Unterstützung des Datenmanagements
Creators: name: Bölter, Ronny
name: Kerwer, Martin
name: Weichselgartner, Erich
Publisher: name: Leibniz Institut für Psychologie (ZPID)
Year: 2017
Subjects: subject: DataWiz
subject: Forschungsdaten
subject: Data Management
subject: 150

description: Mit dem Forschungsdatenzentrum PsychData betreibt das Leibniz-Zentrum für Psychologische Information und Dokumentation (ZPID) seit mehr als 10 Jahren eine Plattform, die bedeutende psychologische Forschungsdaten entgegennimmt, sichert und für Sekundäranalysen zur Verfügung stellt. Im Regelbetrieb von PsychData wurde deutlich, dass Forschende Hilfestellungen zur Durchführung eines qualitativ hochwertigen Forschungsdatenmanagements benötigen. Um auf eine breite Akzeptanz der Community zu stoßen, muss die Forderung nach Open Science deswegen von Angeboten begleitet werden, die Forschenden eine spürbare Arbeitserleichterung im Umgang mit ihren Daten bieten. Diese Angebote sollten sich so früh wie möglich in den Forschungsdatenmanagementprozess eingliedern. Am ZPID wird derzeit mit Unterstützung der DFG ein Assistenzsystem entwickelt, das Wissenschaftler/innen über den gesamten Forschungsprozess hinweg in ihrem Forschungsdatenmanagement unterstützt. Diese Unterstützung beinhaltet zum einen die kontextsensitive Bereitstellung von Informationen zu üblichen Problemstellungen des Forschungsdatenmanagements aus einer Wissensbasis, wie: Können Daten den rechtlichen Rahmenbedingungen entsprechend geteilt werden? Welche urheberrechtlichen und datenschutzrechtlichen Aspekte sind relevant? Welche Informationen sollte mein Kodebuch umfassen? Welche Informationen erwartet mein Förderer in Datenmanagementplänen? Zum anderen findet über den gesamten Forschungszyklus hinweg eine prozedurale Unterstützung der Forschenden statt, die an den Workflow der Forschungspraxis angedockt ist. Dadurch unterstützt DataWiz aktiv die Bewältigung forschungsdatenmanagementbezogener Aufgaben. Dies betrifft u.a. das Verfassen von Datenmanagementplänen, die Dokumentation erhobener Forschungsdaten, die Sicherung der Forschungsdaten, die Vergabe von Zugriffsrechten und die Übergabe an etablierte Datenarchive. Des Weiteren werden Informationen, die beispielsweise beim Erstellen von Datenmanagementplänen in das System eingegeben werden, im weiteren Verlauf des Datenmanagements nachgenutzt. Auf diese Weise wird redundanter Arbeitsaufwand im Projektverlauf vermieden. Schließlich wird in späteren Projektphasen die Arbeitsbelastung bei Datenübergabe an ein Forschungsdatenzentrum durch die Zusammenstellung von Forschungsdaten in einer leicht nutzbaren Form minimiert. Im Rahmen des Vortrags werden ausgewählte Funktionen des Systems demonstriert. Forschenden wird damit ein praktischer Einblick in DataWiz vermittelt. Potenziale zur Nutzung in der empirischen Bildungsforschung werden aufgezeigt und Forschende werden dazu aufgerufen, sich an der öffentlichen Testung des computerbasierten Assistenzsystems zu beteiligen.
D2.1: Report On Decision-Making Procedures
Creators: name: Xenidis, Lazaros
Publisher: name: Zenodo
Year: 2015

description: The aim of Deliverable 2.1 “Report on decision making procedures” is to map decision making procedures on environmental issues, so as to enable the STEP project consortium to get an insight in the regulatory environment, the procedures followed, the stakeholders involved, and the potential fields of e-participation applications. The Deliverable has been compiled through desk research and a survey among the project partners that will be involved in the pilot operation of the STEP platform.
Exotic synchronization in continuous time crystals outside the symmetric subspace
Creators: name: Solanki, Parvinder
name: Krishna, Midhun
name: Hajdušek, Michal
name: Bruder, Christoph
name: Vinjanampathy, Sai
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences

description: Exploring continuous time crystals (CTCs) within the symmetric subspace of spin systems has been a subject of intensive research in recent times. Thus far, the stability of the time-crystal phase outside the symmetric subspace in such spin systems has gone largely unexplored. Here, we investigate the effect of including the asymmetric subspaces on the dynamics of CTCs in a driven dissipative spin model. This results in multistability, and the dynamics becomes dependent on the initial state. Remarkably, this multistability leads to exotic synchronization regimes such as chimera states and cluster synchronization in an ensemble of coupled identical CTCs. Interestingly, it leads to other nonlinear phenomena such as oscillation death and signature of chaos.
description: 11 pages, close to accepted version
Disorder-induced topological pumping on a superconducting quantum processor
Creators: name: Liu, Yu
name: Zhang, Yu-Ran
name: Shi, Yun-Hao
name: Liu, Tao
name: Lu, Congwei
name: Wang, Yong-Yi
name: Li, Hao
name: Li, Tian-Ming
name: Deng, Cheng-Lin
name: Zhou, Si-Yun
name: Liu, Tong
name: Zhang, Jia-Chi
name: Liang, Gui-Han
name: Mei, Zheng-Yang
name: Ma, Wei-Guo
name: Liu, Hao-Tian
name: Liu, Zheng-He
name: Chen, Chi-Tong
name: Huang, Kaixuan
name: Song, Xiaohui
name: Zhao, SP
name: Tian, Ye
name: Xiang, Zhongcheng
name: Zheng, Dongning
name: Nori, Franco
name: Xu, Kai
name: Fan, Heng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Thouless pumping, a dynamical version of the integer quantum Hall effect, represents the quantized charge pumped during an adiabatic cyclic evolution. Here we report experimental observations of nontrivial topological pumping that is induced by disorder even during a topologically trivial pumping trajectory. With a 41-qubit superconducting quantum processor, we develop a Floquet engineering technique to realize cycles of adiabatic pumping by simultaneously varying the on-site potentials and the hopping couplings. We demonstrate Thouless pumping in the presence of disorder and show its breakdown as the strength of disorder increases. Moreover, we observe two types of topological pumping that are induced by on-site potential disorder and hopping disorder, respectively. Especially, an intrinsic topological pump that is induced by quasi-periodic hopping disorder has never been experimentally realized before. Our highly controllable system provides a valuable quantum simulating platform for studying various aspects of topological physics in the presence of disorder.
Data-driven Dynamic Event-triggered Control
Creators: name: Xu, Tao
name: Sun, Zhiyong
name: Wen, Guanghui
name: Duan, Zhisheng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper revisits the event-triggered control problem from a data-driven perspective, where unknown continuous-time linear systems subject to disturbances are taken into account. Using data information collected off-line instead of accurate system model information, a data-driven dynamic event-triggered control scheme is developed in this paper. The dynamic property is reflected by that the designed event-triggering function embedded in the event-triggering mechanism (ETM) is dynamically updated as a whole. Thanks to this dynamic design, a strictly positive minimum inter-event time (MIET) is guaranteed without sacrificing control performance. Specifically, exponential input-to-state stability (ISS) of the closed-loop system with respect to disturbances is achieved in this paper, which is superior to some existing results that only guarantee a practical exponential ISS property. The dynamic ETM is easy-to-implement in practical operation since all designed parameters are determined only by a simple data-driven linear matrix inequality (LMI), without additional complicated conditions as required in relevant literature. As quantization is the most common signal constraint in practice, the developed control scheme is further extended to the case where state transmission is affected by a uniform or logarithmic quantization effect. Finally, adequate simulations are performed to show the validity and superiority of the proposed control schemes.
Pipistrellus minahassae
Creators: name: Don E. Wilson
name: Russell A. Mittermeier
Publisher: name: Lynx Edicions
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Mammalia
Chiroptera
Vespertilionidae
Pipistrellus
Pipistrellus minahassae

description: 42.
Minahassa Pipistrelle
Pipistrellus minahassae
French: Pipistrelle de Minahasa / German: Minahassa-Zwergfledermaus / Spanish: Pipistrela de Minahasa
Taxonomy. Vesperugo minahassae A. B. Meyer, 1899,
“Tomohon, Minahassa, Nord Celébes [= north Sulawesi],” Indonesia.
Taxonomic affinities of P. minahassae are uncertain, but it was placed close to P. ceylonicus based on morphology by J. E. Hill and D. L. Harrison in 1987. Additional research is needed. Monotypic.
Distribution. Known only confidently from holotype in NE part of N Peninsula of Sulawesi; there are apparently records from Tolai and Rurukan, N Sulawesi, and two other specimens from Tobelo, N Sulawesi, which are all located near type locality, but all of these specimens need to be reexamined to determine whether or not they truly represent this species.
Descriptive notes. Head-body ¢. 59 mm, tail ¢. 37 mm, ear 14 mm, hindfoot 10 mm, forearm 36 mm (type specimen). Pelage of the Minahassa Pipistrelle is short, shiny, and velvety. Dorsum is dark brown; venter is paler brown. One-third of upper arm and one-half of thigh are covered in hair dorsally and ventrally; fur stretches a little further ventrally. Ears apparently are relatively small, and tragus has rounded tip. Wing membranes are blackish and virtually naked throughout except right near body; uropatagium extends from calcar to nearlytail tip, only extreme tip is free. Skull characteristics are based on specimens from Rurukan, near type locality and described by G. H. H. Tate in 1942, which still needs to be identified confidently as the Minahassa Pipistrelle after skull of holotype has been examined. Skull has distinctive short high braincase, with rudimentary sagittal crest; zygomatic arches are slender; basal pits are deep; supraorbital tubercles are prominent; I? is long and bicuspid; P? is subequal to size of P*; and P* is comparatively well developed and slightly displaced from tooth row.
Habitat. No information.
Food and Feeding. No information.
Breeding. No information.
Activity patterns. No information.
Movements, Home range and Social organization. No information.
Status and Conservation. Classified as Data Deficient on The IUCN Red List. The Minahassa Pipistrelle is currently known only from the type specimen and a few specimens that have provisionally been attributed to it. Virtually nothing is known aboutits ecology and threats; additional research is needed.
Bibliography. Hill & Harrison (1987), Gorfol, Francis, Kingston & Hutson (2016), Meyer (1899), Tate (1942b).
description: Published as part of Don E. Wilson & Russell A. Mittermeier, 2019, Vespertilionidae, pp. 716-981 in Handbook of the Mammals of the World – Volume 9 Bats, Barcelona :Lynx Edicions on pages 781-782, DOI: 10.5281/zenodo.6397752
Amtliche Mitteilungen der Technischen Universität Dortmund Nr. 10/2024
Creators: name: (:Unkn) Unknown
Publisher: name: Technische Universität Dortmund
Year: 2024
Subjects: subject: 080

description: Fachschaftsrahmenordnung der Studierendenschaft der Technischen Universität Dortmund vom 17. April 2024
description: Amtliche Mitteilungen der Technischen Universität Dortmund;2024; 10
Cosmography of the Local Universe by Multipole Analysis of the Expansion Rate Fluctuation Field
Creators: name: Kalbouneh, Basheer
name: Marinoni, Christian
name: Maartens, Roy
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We establish a relationship between the multipoles of the expansion rate fluctuation field $η,$ which capture in an accurate way deviations from isotropy in the redshift-distance relation, and the multipoles of the covariant cosmographic parameters-Hubble $\mathbb{H}_o$, deceleration $\mathbb{Q}_o$, jerk $\mathbb{J}_o$, and curvature $\mathbb{R}_o$. These parameters, derived from the third-order expansion of the luminosity distance with respect to redshift in a generic spacetime, provide model-independent insight into the geometry and symmetries of the cosmic line element without requiring the Cosmological Principle. Moreover, we demonstrate that although this approach is fully nonperturbative and does not rely on concepts such as peculiar velocities, it has the potential to constrain the motion of the matter frame at the observer's position relative to the cosmic microwave background. We use two analytical axisymmetric models, motivated by observational evidence, to test the formalism and the effectiveness of the third-order expansion of the luminosity distance. These models also help to predict the precision with which future surveys, like the Zwicky Transient Facility, will constrain the covariant cosmographic parameters in the local ($z<0.1$) Universe.
description: Revised version accepted by JCAP. 41 pages, 16 figures, follow-up paper of arXiv:2312.09875 and arXiv:2210.11333
Script for: Podcast on Psilocybin in the show Cognitive Neuroscience @UNAK
Creators: name: Yvonne Höller
name: Jón Ingi Hlynsson
Publisher: name: Zenodo
Year: 2024
Subjects: subject: podcast
subject: psilocybin
subject: cognitive neuroscience
subject: Cognitive neuroscience

description: Script for the podcast cognitive neuroscience @ UNAK

https://open.spotify.com/show/4juMUjUn9aLJNJUfXJXJkj

 

Follow-up episode psilocybin.

 

Autors:

Yvonne Höller, Professor at the Faculty of Psychology, University of Akureyri, Akureyri, Iceland (yvonne@unak.is)

Jón Ingi Hlynsson, Master student at the Faculty of Psychology, University of Iceland, Reykjavík, Iceland (jih10@hi.is)
Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation Accuracy
Creators: name: Maslov, Konstantin A.
name: Persello, Claudio
name: Schellenberger, Thomas
name: Stein, Alfred
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Accurate global glacier mapping is critical for understanding climate change impacts. Despite its importance, automated glacier mapping at a global scale remains largely unexplored. Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery. Assessing the spatial, temporal and cross-sensor generalisation shows that our best strategy achieves intersection over union >0.85 on previously unobserved images in most cases, which drops to >0.75 for debris-rich areas such as High-Mountain Asia and increases to >0.90 for regions dominated by clean ice. A comparative validation against human expert uncertainties in terms of area and distance deviations underscores GlaViTU performance, approaching or matching expert-level delineation. Adding synthetic aperture radar data, namely, backscatter and interferometric coherence, increases the accuracy in all regions where available. The calibrated confidence for glacier extents is reported making the predictions more reliable and interpretable. We also release a benchmark dataset that covers 9% of glaciers worldwide. Our results support efforts towards automated multitemporal and global glacier mapping.
description: after revision, adjusted title, added URLs to data and repo; after major revision, expanded validation
New Skyrme parametrizations to describe finite nuclei and neutron star matter with realistic effective masses
Creators: name: Duan, Mingya
name: Urban, Michael
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The phenomenological Skyrme energy density functional theory is one of the most popular theories for dealing with finite nuclei and infinite nuclear matter, including neutron star matter. However, the density dependence of the effective masses of common Skyrme parametrizations is completely different from the one found in microscopic calculations. This can have drastic consequences. For instance, in a recent study we reported that in many Skyrme functionals, the neutron Fermi velocity exceeds the speed of light at densities that exist in neutron-star cores. To solve this problem, we try to construct new Skyrme parametrizations by including constraints from microscopic calculations of the effective mass in addition to binding energies and charge radii of finite nuclei and different microscopic equations of state of pure neutron matter. We give the parameters of the new Skyrme forces and show that our new effective interactions can successfully describe properties of finite nuclei and nuclear matter (including pure neutron matter, symmetric nuclear matter, and neutron star matter).
description: 21 pages (including 12 figures, 8 tables, and appendix). v2: major changes; v3: equations (A2) and (A5) corrected and minor other changes
Mandatory policies and willingness to separate waste: a construal level perspective
Creators: name: Wang, Zhihao
name: Li, Wei
name: Yu, Haijing
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Mandating policies about waste separation is essential for solving the urban waste crisis. To clarify the impact of mandatory policies on residents’ willingness to separate waste, based on Construal Level Theory, this study constructed a mechanism model for the impact of mandatory policies on residents’ willingness to separate waste and analyzed the role of perceived cost and perceived benefit. The model was validated using a questionnaire survey of 1,370 urban residents via hierarchical regression analysis and the bootstrap method. Results corroborate that construal level moderates the relationship between mandatory policy and willingness to separate waste. Specifically, when individuals use a high construal level, mandatory policies have a positive effect on their willingness (b = 0.481) and this relationship is mediated by perceived benefits. In contrast, when individuals use a low construal level, mandatory policies have a negative effect on their willingness (b = −0.358) and this relationship is mediated by perceived costs.
On the well-posedness of the Cauchy problem for the two-component peakon system in $C^k\cap W^{k,1}$
Creators: name: Karlsen, Kenneth H.
name: Rybalko, Yan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: This study focuses on the Cauchy problem associated with the two-component peakon system featuring a cubic nonlinearity, constrained to the class $(m,n)\in C^{k}(\mathbb{R}) \cap W^{k,1}(\mathbb{R})$ with $k\in\mathbb{N}\cup\{0\}$.This system extends the celebrated Fokas-Olver-Rosenau-Qiao equation, and the following nonlocal (two-place) counterpart proposed by Lou and Qiao: $$ \partial_t m(t,x)= \partial_x[m(t,x)(u(t,x)-\partial_xu(t,x)) (u(-t,-x)+\partial_x(u(-t,-x)))], $$ where $m(t,x)=\left(1-\partial_{x}^2\right)u(t,x)$. Employing an approach based on Lagrangian coordinates, we establish the local existence, uniqueness, and Lipschitz continuity of the data-to-solution map in the class $C^k\cap W^{k,1}$. Moreover, we derive criteria for blow-up of the local solution in this class.
A successful linkage of a named patient products of sublingual immunotherapy-dispensing registry to French healthcare insurance database (SNDS): methodological constitution of the EfficAPSI cohort
Creators: name: Devillier, Philippe
name: Molimard, Mathieu
name: Bergmann, Jean-François
name: Delaisi, Bertrand
name: Gouverneur, Amandine
name: Vadel, Jade
name: Collin, Cédric
name: Girard, Laurence
name: Scurati, Silvia
name: Demoly, Pascal
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Pharmacology
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Marine Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: The only causal treatment for allergic rhinitis (AR) is allergen immunotherapy (AIT) including personalized liquid sublingual AIT (SLIT). We present the methodology for establishing the EfficAPSI cohort to further evaluate the real-life effectiveness and use of SLIT liquid. The EfficAPSI cohort was constituted by deterministic linkage of Stallergenes Greer dispensing and nationwide French healthcare insurance system (SNDS) databases. Data from 2006 to 2018 were extracted. All patients who initiated Stallergenes Greer SLIT liquid between 2010 and 2013 were considered as exposed and those dispensed with AR symptomatic treatment only as control. To limit the impact of confounding, the models will be weighted using the inverse probability of treatment weighting (IPTW). A total of 445,574 patients were included; median age was 38 years; 59.1% were female. Exposed patients (n = 112,492) were significantly younger, more frequently males, and less likely to have comorbidities than controls (n = 333,082). After IPTW, patients’ characteristics from both groups were similar. To date, the EfficAPSI cohort has the largest number of person-years of follow-up in the field of AIT. The completeness of the data allows to evaluate SLIT liquid effectiveness with rigorous methodology, leading to important insights on personalized medicine in real-life.
Engineering End-to-End Remote Labs using IoT-based Retrofitting
Creators: name: Viswanadh, K. S.
name: Gureja, Akshit
name: Walchatwar, Nagesh
name: Agrawal, Rishabh
name: Sinha, Shiven
name: Chaudhari, Sachin
name: Vaidhyanathan, Karthik
name: Choppella, Venkatesh
name: Bhimalapuram, Prabhakar
name: Kandath, Harikumar
name: Hussain, Aftab
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Remote labs are a groundbreaking development in the education industry, providing students with access to laboratory education anytime, anywhere. However, most remote labs are costly and difficult to scale, especially in developing countries. With this as a motivation, this paper proposes a new remote labs (RLabs) solution that includes two use case experiments: Vanishing Rod and Focal Length. The hardware experiments are built at a low-cost by retrofitting Internet of Things (IoT) components. They are also made portable by designing miniaturised and modular setups. The software architecture designed as part of the solution seamlessly supports the scalability of the experiments, offering compatibility with a wide range of hardware devices and IoT platforms. Additionally, it can live-stream remote experiments without needing dedicated server space for the stream. The software architecture also includes an automation suite that periodically checks the status of the experiments using computer vision (CV). RLabs is qualitatively evaluated against seven non-functional attributes - affordability, portability, scalability, compatibility, maintainability, usability, and universality. Finally, user feedback was collected from a group of students, and the scores indicate a positive response to the students' learning and the platform's usability.
description: 30 pages, 7 tables and 20 figures. Submitted to ACM Transactions on IoT