cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Exact Hidden Markovian Dynamics in Quantum Circuits
Creators: name: Wang, He-Ran
name: Yang, Xiao-Yang
name: Wang, Zhong
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences

description: Characterizing nonequilibrium dynamics in quantum many-body systems is a challenging frontier of physics. In this Letter, we systematically construct solvable nonintegrable quantum circuits that exhibit exact hidden Markovian subsystem dynamics. This feature thus enables accurately calculating local observables for arbitrary evolution time. Utilizing the influence matrix method, we show that the influence of the time-evolved global system on a finite subsystem can be analytically described by sequential, time-local quantum channels acting on the subsystem with an ancilla of finite Hilbert space dimension. The realization of exact hidden Markovian property is facilitated by a solvable condition on the underlying two-site gates in the quantum circuit. We further present several concrete examples with varying local Hilbert space dimensions to demonstrate our approach.
description: 7+11 pages, 2+1 figures
Nonreciprocal Response of Electrically Biased Graphene-Coated Fiber
Creators: name: Fallah, Asma
name: Engheta, Nader
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Here, we theoretically investigate the nonreciprocal response of an electrically biased graphene-coated dielectric fiber. By electrically biasing the graphene coating along the fiber axis, the dynamic conductivity of graphene exhibits a nonsymmetric response with respect to the longitudinal component of guided-mode wave vectors. Consequently, the guided waves propagating in two opposite directions may encounter distinct propagation features. In this work, the electromagnetic properties, such as modal dispersion and some field distributions are presented, and the strength of nonreciprocity is discussed for different parameters of graphene, such as its chemical potential and material loss. Furthermore, the influence of the radius of the fiber on the nonreciprocal response is investigated. We envision that such nonreciprocal optical fibers may find various potential applications in THz, microwave, and optical technologies.
description: 8 pages, 2 figures
Learning tensor networks with tensor cross interpolation: new algorithms and libraries
Creators: name: Fernández, Yuriel Núñez
name: Ritter, Marc K.
name: Jeannin, Matthieu
name: Li, Jheng-Wei
name: Kloss, Thomas
name: Louvet, Thibaud
name: Terasaki, Satoshi
name: Parcollet, Olivier
name: von Delft, Jan
name: Shinaoka, Hiroshi
name: Waintal, Xavier
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The tensor cross interpolation (TCI) algorithm is a rank-revealing algorithm for decomposing low-rank, high-dimensional tensors into tensor trains/matrix product states (MPS). TCI learns a compact MPS representation of the entire object from a tiny training data set. Once obtained, the large existing MPS toolbox provides exponentially fast algorithms for performing a large set of operations. We discuss several improvements and variants of TCI. In particular, we show that replacing the cross interpolation by the partially rank-revealing LU decomposition yields a more stable and more flexible algorithm than the original algorithm. We also present two open source libraries, xfac in Python/C++ and TensorCrossInterpolation.jl in Julia, that implement these improved algorithms, and illustrate them on several applications. These include sign-problem-free integration in large dimension, the superhigh-resolution quantics representation of functions, the solution of partial differential equations, the superfast Fourier transform, the computation of partition functions, and the construction of matrix product operators.
description: 73 pages, 15 figures, codes at http://tensor4all.org
Критичний аналіз практики застосування закону України «Про санкції» крізь призму практики Касаційного господарського суду верховного суду (на прикладі постанови Касаційного господарського суду верховного суду від 21 червня 2023 року у справі №  910/2529/22)
Creators: name: Кирилюк, Дмитро Володимирович
Publisher: name: Zenodo
Year: 2024
Subjects: індивідуальні санкції, санкційне законодавство, блокування активів, Постанова, Касаційний господарський суд Верховного Суду

description: Станом на сьогодні питання санкційного законодавства є надзвичайно малодослідженим. Особливо – такого його інструменту як індивідальні санкції, що зумовлює актуальність дослідження.

Метою дослідження є системний аналіз  Постанови Касаційного господарського суду Верховного Суду від 21 червня 2023 року у справі №  910/2529/22 на предмет відображення дискусійних моментів застосування такого виду санкцій, як блокування активів.

У сучасних реаліях повномасштабного вторгнення рф на територію України, практика порядку застосування санкцій в межах Закону України «Про санкції» викликає досить багато суперечностей.

Прикладом може слугувати судова справа №  910/2529/22, яка розглядалася Касаційним господарським судом Верховного Суду від 21 червня 2023 року.

Дана судова справа є показовою в ряді проблемних моментів, які виникають при застосуванні санкцій в межах Закону України «Про санкції».

Постанова Касаційного господарського суду Верховного Суду від 21 червня 2023 року №  910/2529/22 має важливе значення як для правової науки, так і для правозастосування з огляду на, як мінімум, наступні три аргументи.

Перший – це глибоке дослідження Касаційним господарським судом Верховного Суду фактичних обставин справи. На нашу думку, ОСОБІ_1 мало бути відмовлено у задоволенні позовної заяви ще на рівні першої судової інстанції. Проте, по факту, позовну заяву задовольнив не лише суд першої інстанції, а й апеляційний суд, що свідчить або про нефаховість суддів, які ухвалювали рішення, або про їх небажання з’ясувати суть правової природи предмета спору. З огляду на важливість санкцій як ефективного інструменту в аспекті протистояння рф в сучасних українських реаліях, така ситуація є неприпустимою. Натомість Касаційний господарський суд Верховного Суду виконав свої функції у якості касаційної інстанції надзвичайно професійно, адже з’ясував глибоку суть проблематики предмета судового спору, чим, фактично, створив нову практику так званого «переконливого» прецеденту.

Другий аргумент - це відповідь про те, чи мав право Департамент СБУ втручатися в, так би мовити, корпоративні правовідносини. І третій, останній, аргумент – це уточнення позиції щодо моменту набрання чинності Указом Президента України щодо введення в дію санкцій РНБО.

У якості перспективи подальших наукових досліджень можна запропонувати аналіз інших судових рішень Верховного Суду у сфері санкційного законодавства.
Approximation of the electronic terms of diatomic molecules by the Morse function. The role of anharmonicity. II. Simple terms
Creators: name: Denisov, G. S.
name: Asfin, R. E.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: This article continues the series of works by the authors on the approximation of the electronic terms of diatomic molecules by the Morse formula, which is the simplest anharmonic approximation of the real term U(r). Depending on the choice of parameters, the approximation has two alternative solutions M1(r) and M2(r), with different patterns of deviations from the real term and its vibrational structure. The difference δ(r)=U(r)-M(r) quantitatively shows the changes in the shape of the terms during approximation. We introduced an empirical anharmonicity function -2ω_e x(v), which characterizes the positions of vibrational levels in the potential well; it demonstrates the distortion of the vibrational structure of the term U(r) during the approximation. Based on the data from literature, the functions δ(r) and -2ω_e x(v) were constructed for more than 20 molecules. Here we present a group of simple terms with minimal deviations from the Morse shape.
The value of virtual simulation in training GP residents in advance care planning conversations
Creators: name: Tros, Willemijn
name: van der Steen, Jenny T.
name: Numans, Mattijs E.
name: van Peet, Petra G.
name: Boogaard, Nienke J.A.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy
subject: Plant Biology
subject: FOS: Biological sciences

description: Advance care planning (ACP) aims at empowering patients with chronic progressive disease to express and communicate their preferences for future care, but is not yet consistently applied in general practice. We explored GP residents’ experiences with practicing ACP conversations through virtual simulation and its educational value. Our study with Dutch GP residents in their first year of training used a hermeneutic phenomenological approach. Eleven participants were observed while engaging in virtual simulation, followed by an in-depth interview. Data was analysed in an iterative manner, starting from the first interview. Although the virtual simulation was mostly experienced as not realistic because it lacked the possibility of nuanced wording and personal adjustments, the GP residents did find it valuable to learn what topics can be addressed and how. The learning experience was primarily shaped by GP residents’ prior real-life ACP experiences. Virtual simulation is a valuable part of a blended curriculum, facilitating residents to get started with or refresh the basic knowledge and skills of ACP. It is crucial that virtual simulation is followed by critical reflection with peers and supervising GPs and practice with actors or real patients to ensure GP residents can further develop their skills regarding ACP conversations.
Internal Lagrangians and spatial-gauge symmetries
Creators: name: Druzhkov, Kostya
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A direct reformulation of the Hamiltonian formalism in terms of the intrinsic geometry of infinitely prolonged differential equations is obtained. Concepts of spatial equation and spatial-gauge symmetry of a Lagrangian system of equations are introduced. A non-covariant canonical variational principle is proposed and demonstrated using the Maxwell equations as an example. A covariant canonical variational principle is formulated. The results obtained are applicable to any variational equations, including those that do not originate in physics.
description: 16 pages
The value of virtual simulation in training GP residents in advance care planning conversations
Creators: name: Tros, Willemijn
name: van der Steen, Jenny T.
name: Numans, Mattijs E.
name: van Peet, Petra G.
name: Boogaard, J.A.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy
subject: Plant Biology
subject: FOS: Biological sciences

description: Advance care planning (ACP) aims at empowering patients with chronic progressive disease to express and communicate their preferences for future care, but is not yet consistently applied in general practice. We explored GP residents’ experiences with practicing ACP conversations through virtual simulation and its educational value. Our study with Dutch GP residents in their first year of training used a hermeneutic phenomenological approach. Eleven participants were observed while engaging in virtual simulation, followed by an in-depth interview. Data was analysed in an iterative manner, starting from the first interview. Although the virtual simulation was mostly experienced as not realistic because it lacked the possibility of nuanced wording and personal adjustments, the GP residents did find it valuable to learn what topics can be addressed and how. The learning experience was primarily shaped by GP residents’ prior real-life ACP experiences. Virtual simulation is a valuable part of a blended curriculum, facilitating residents to get started with or refresh the basic knowledge and skills of ACP. It is crucial that virtual simulation is followed by critical reflection with peers and supervising GPs and practice with actors or real patients to ensure GP residents can further develop their skills regarding ACP conversations.
Building an open, collaborative, online infrastructure for bioinformatics training
Creators: name: Batut, Bérénice
name: Galaxy Training Network
name: Clements, Dave
name: Grüning, Björn
Publisher: name: F1000Research
Year: 2017

description: With the advent of high-throughput platforms, life science data analysis is tightly linked to the use of bioinformatics tools, resources, and high-performance computing. However, the scientists who generate the data often do not have the knowledge required to be fully conversant with such analyses. To involve them in their own data analysis, these scientists must acquire bioinformatics vocabulary and skills through training.

Data analysis training is particularly challenging without a computational background. The Galaxy framework is addressing this problem by offering a web-based, intuitive and accessible user interface to numerous bioinformatics tools.

Recently, the Galaxy Training Network (GTN) set up a new open, collaborative, online model for delivering high-quality bioinformatics training material: http://galaxyproject.github.io/training-material.

Each of the current 12 topics provides tutorials with hands-on, slides and interactive tours. Tours are a new way to go through an entire analysis, step by step inside Galaxy in an interactive and explorative way. All material is openly reviewed, and iteratively developed in one central repository by 40 contributors. Content is written in Markdown and, similarly to Software/Data Carpentry, the model separates presentation from content. In addition, the technological infrastructure needed to teach each topic is described with a list of needed tools. The data (citable via DOI) required for the hands-on, time and resource estimations and flavored Galaxy Docker images are also provided.

This material is automatically propagated to Elixir's TeSS portal. With this community effort, the GTN offers an open, collaborative, FAIR and up-to-date infrastructure for delivering high-quality bioinformatics training for scientists.
Forever in BlueGenes: A next-generation genomic data interface powered by InterMine
Creators: name: Yehudi, Yo
name: Butano, Daniela
name: Chadwick, Matthew
name: Clark-Casey, Justin
name: Contrino, Sergio
name: Heimbach, Joshua
name: Lyne, Rachel
name: Sullivan, Juli
name: Gos Micklem
Publisher: name: F1000Research
Year: 2017

description: The plight of the computational biologist, or indeed any data scientist, often boils down to data: data may be badly formatted, missing information, hard to access and hard to integrate with other sources. Similarly, user interfaces designed for data analysis may not be easy to use, hindering scientific analysis rather than assisting it.

BlueGenes is designed to facilitate biological data discovery and analysis in a user-friendly and enjoyable way, without requiring that scientists write code or wrangle multiple datasets themselves. Designed as a modern replacement for InterMine’s[1] JSP-powered interface, which traces its origin as far back as 2003, BlueGenes focuses on enhancing user experience using in-page updates, colour-coded data types, and mobile / touch friendliness where possible. Iterative user testing and community feedback is used to enhance usability.

The data available in BlueGenes is sourced via web services from individual InterMine instances, which are typically comprised of multiple high-quality integrated datasets. Using InterMine as a data source allows BlueGenes to source genomic and proteomic data from the array of biological databases worldwide that run InterMine instances, including model organisms such as the mouse, rat, budding yeast, fruit fly, nematode worm, and thale cress as well as cattle, chinese hamster ovary cells, and many plants.

BlueGenes is browser-based and runs client-side. The decoupled architecture separates the user interface from the data server, allowing the same front-end instance to seamlessly switch between InterMine data sources. Whilst the core of BlueGenes is programmed in ClojureScript for rapid iterative prototyping purposes, a plugin architecture is currently under development that will allow data analysis and visualisation tools to be seamlessly integrated in native JavaScript. BlueGenes runs on Re-Frame[2], a ClojureScript library based on React.js.

[1]Smith RN, Aleksic J, Butano D, Carr A, Contrino S, Hu F, Lyne M, Lyne R, Kalderimis A, Rutherford K, Stepan R, Sullivan J, Wakeling M, Watkins X, Micklem G. InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data. Bioinformatics. 28(23):3163-5 (2012)
[2]Thompson, M. Re-Frame: A Reagent Framework For Writing SPAs, in Clojurescript. Zenodo. http://doi.org/10.5281/zenodo.801613 (2015)
X-ray Anomaly Detection in Industrial Pipelines
Creators: name: Papadam, Diamantis Rafail
name: Papaioannidis, Christos
name: Zamioudis, Alexandros
name: Pitas, Ioannis
Publisher: name: Zenodo
Year: 2025

description: As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images of metal pipelines to detect the presence of corrosion in a novel way. In our industrial scenario, a drone lands a crawler that is equipped with an X-ray system on top of insulated pipelines to perform X-ray scans which are able to penetrate only the insulation, due to power consumption limitations. In this paper, we use modern unsupervised anomaly detection algorithms to detect the presence of corrosion, yielding quite promising results. Moreover, to compare several state-of-the-art approaches in terms of robustness to image degradation, we simulate two types of degradation that can occur: (i) PoissonNoise, (ii) Motion Blur Deformation. We conclude that the problem we are dealing with can be handled sufficiently well with state-of-the-art approaches, and that in the scenario of image degradation, the most robust algorithms are based on memory banks and teacher-student architectures.
A nano vacuum gauge based on second-order coherence in optical levitation
Creators: name: Liu, Lyu-Hang
name: Zheng, Yu
name: Tian, Yuan
name: Wang, Long
name: Guo, Guang-Can
name: Sun, Fang-Wen
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Accurate measurement of pressure with a wide dynamic range holds significant importance for various applications. This issue can be realized with a mechanical nano-oscillator, where the pressure-related collisions with surrounding molecules induce its energy dissipation. However, this energy dissipation of the nano-oscillator may be overshadowed by other processes. Here, we apply the second-order coherence analysis to accurately characterize those distinct dissipation processes. Based on an optically levitated nano-oscillator, we successfully obtain precise measurements of the air pressure surrounding the particles from atmosphere to 7E-6 mbar, over 8 orders of magnitude. It proves that the mechanical nano-oscillator is an extremely promising candidate for precision pressure sensing applications. Moreover, the second-order coherence analysis method on a classical system can pave the way to characterize the dynamic properties of an oscillator, which will benefit microscopic thermodynamics, precision measurement, and macroscopic quantum research.
description: 6 pages. 4 figures
The Influence of Disulfide, Thioacetal and Lanthionine-Bridges on the Conformation of a Macrocyclic Peptide
Creators: name: Darling, William
name: Wieske, Lianne
name: Aliev, Abil
name: Humphrys, Emily J.
name: Angelo Miguel, Figueiredo
name: Cook, Declan T.
name: Hansen, Flemming
name: Erdelyi, Mate
name: Tabor, Alethea
Publisher: name: Zenodo
Year: 2024
Subjects: NMR
NAMFIS
Ensemble
conformer
peptide
macrocycle

description: NMR raw data (FIDs)
X-ray Anomaly Detection in Industrial Pipelines
Creators: name: Papadam, Diamantis Rafail
name: Papaioannidis, Christos
name: Zamioudis, Alexandros
name: Pitas, Ioannis
Publisher: name: Zenodo
Year: 2024

description: As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficientand effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images ofsteel pipelines to detect the presence of corrosion in a novel way. In our industrial scenario, a drone lands a crawler thatis equipped with an X-ray system on top of insulated pipelines to perform X-ray scans which are able to penetrate onlythe insulation, due to power consumption limitations. In this paper, we use modern unsupervised anomaly detection algo-rithms to detect the presence of corrosion, and the results are quite promising. Moreover, to compare several state-of-the-art approaches in terms of robustness to noise, we simulate two types of noise that can occur: (i) Poisson Noise, (ii) Mo-tion Blur Noise. We conclude that the problem we are dealing with can be handled sufficiently well with state-of-the-artapproaches, and that in the scenario of noise, the most robust algorithms are based on memory banks and teacher-studentarchitectures.
The Influence of Disulfide, Thioacetal and Lanthionine-Bridges on the Conformation of a Macrocyclic Peptide
Creators: name: Darling, William
name: Wieske, Lianne
name: Aliev, Abil
name: Humphrys, Emily J.
name: Angelo Miguel, Figueiredo
name: Cook, Declan T.
name: Hansen, Flemming
name: Erdelyi, Mate
name: Tabor, Alethea
Publisher: name: Zenodo
Year: 2024
Subjects: NMR
NAMFIS
Ensemble
conformer
peptide
macrocycle

description: NMR raw data (FIDs), NMR eDATA, solution ensemble, input conformers
Local probe of bulk and edge states in a fractional Chern insulator
Creators: name: Ji, Zhurun
name: Park, Heonjoon
name: Barber, Mark E.
name: Hu, Chaowei
name: Watanabe, Kenji
name: Taniguchi, Takashi
name: Chu, Jiun-Haw
name: Xu, Xiaodong
name: Shen, Zhi-xun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Fractional quantum Hall effect (FQHE) is a prime example of topological quantum many-body phenomena, arising from the interplay between strong electron correlation, topological order, and time reversal symmetry breaking. Recently, a lattice analog of FQHE at zero magnetic field has been observed, confirming the existence of a zero-field fractional Chern insulator (FCI). Despite this, the bulk-edge correspondence -- a hallmark of FCI featuring an insulating bulk with conductive edges -- has not been directly observed. In fact, this correspondence has not been visualized in any system for fractional states due to experimental challenges. Here we report the imaging of FCI edge states in twisted MoTe2 by employing a newly developed modality of microwave-impedance microscopy. By tuning the carrier density, we observe the system evolving between metallic and FCI states, the latter of which exhibits insulating bulk and conductive edges as expected from bulk-boundary correspondence. We also observe the evolution of edge states across the topological phase transition from an incompressible Chern insulator state to a metal and finally to a putative charge ordered insulating state as a function of interlayer electric field. The local measurement further reveals tantalizing prospects of neighboring domains with different fractional orders. These findings pave the way for research into topologically protected 1D interfaces between various anyonic states at zero magnetic field, such as topological entanglement entropy, Halperin-Laughlin interfaces, and the creation of non-abelian anyons.
Trials Factor for Semi-Supervised NN Classifiers in Searches for Narrow Resonances at the LHC
Creators: name: Lieberman, Benjamin
name: Dahbi, Salah-Eddine
name: Crivellin, Andreas
name: Stevenson, Finn
name: Tripathi, Nidhi
name: Kumar, Mukesh
name: Mellado, Bruce
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: To mitigate the model dependencies of searches for new narrow resonances at the Large Hadron Collider (LHC), semi-supervised Neural Networks (NNs) can be used. Unlike fully supervised classifiers these models introduce an additional look-elsewhere effect in the process of optimising thresholds on the response distribution. We perform a frequentist study to quantify this effect, in the form of a trials factor. As an example, we consider simulated $Zγ$ data to perform narrow resonance searches using semi-supervised NN classifiers. The results from this analysis provide substantiation that the look-elsewhere effect induced by the semi-supervised NN is under control.
description: 22 pages, 13 figures, with few minor corrections
Polarized semi-inclusive deep-inelastic scattering at NNLO in QCD
Creators: name: Bonino, Leonardo
name: Gehrmann, Thomas
name: Löchner, Markus
name: Schönwald, Kay
name: Stagnitto, Giovanni
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Semi-inclusive hadron production in longitudinally polarized deep-inelastic lepton-nucleon scattering is a powerful tool for resolving the quark flavor decomposition of the proton's spin structure. We present the full next-to-next-to-leading order (NNLO) QCD corrections to the coefficient functions of polarized semi-inclusive deep-inelastic scattering (SIDIS) in analytical form, enabling the use of SIDIS measurements in precision studies of the proton spin structure. The numerical impact of these corrections is illustrated by a comparison with data of polarized single-inclusive hadron spectra from the DESY HERMES and CERN COMPASS experiments.
description: revised version, ancillary files cleaned up, all figures redone with BDSSV24 polarized PDFs
Presenting the CS-NL Network at the CeOS Webinar on Citizen Science in the Netherlands
Creators: name: Gold, Margaret
Publisher: name: Zenodo
Year: 2024

description:  

Margaret Gold gave this talk at the online event “Citizen-enhanced Open Science (CeOS) in the Netherlands – A Mutual Learning Exercise,” organised by LIBER as the part of the activities of the CeOS_SE project, on June 21, 2024.

The event aimed to facilitate mutual learning experiences by sharing project results and exemplary practices from the Netherlands. Topics included Citizen Science at the policy level, the Citizen Science network in the Netherlands, and specific examples of Citizen Science initiatives

Participants engaged in discussions on the CeOS project’s findings and were encouraged to provide feedback to enhance the status of Citizen Science. The outcomes of this workshop will contribute to policy advocacy and capacity-building activities for CeOS SE project partners. Additionally, this event layed the groundwork for an onsite CeOS multiplier event planned for December 4 in the Netherlands.

The event facilitated mutual learning experiences by sharing project results and exemplary practices from the Netherlands. Topics included Citizen Science at the policy level, the Citizen Science network in the Netherlands, and specific examples of Citizen Science initiatives.

Participants also engaged in discussions on the CeOS project’s findings and were encouraged to provide feedback to enhance the status of Citizen Science. The outcomes of this workshop will contribute to policy advocacy and capacity-building activities for CeOS SE project partners. Additionally, this event will lay the groundwork for an onsite CeOS multiplier event planned for December 4, in the Netherlands.

 

https://ceosse-project.eu/online-event-citizen-enhanced-open-science-ceos-in-the-netherlands-a-mutual-learning-exercise/
BioSupPack - Demonstrative process for the production and enzymatic recycling of environmentally safe, superior and versatile PHA-based rigid packaging solutions by plasma integration in the value chain.
Creators: name: González, Rosa
Publisher: name: Zenodo
Year: 2024

description: The objective of BioSupPack is to deliver novel, cost-competitive and versatile bio-based packaging solutions based on PHA that demonstrate high performance for the packaging of food, cosmetics, homecare and beverage products, as well as no environmental damage during and after their use. Also, BIOSUPPACK wants to comply with the industry needs (cost/performance competitive vs. fossil-based non-biodegradable counterparts and legislative compliance) and with consumers´ awareness.  BioSupPack will have a significant impact on EU bioplastics & end users’ sectors, the biorefineries and biotechnology industries and society.
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution
Creators: name: Jiang, Yuxuan
name: Feng, Chen
name: Zhang, Fan
name: Bull, David
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Knowledge distillation (KD) has emerged as a promising technique in deep learning, typically employed to enhance a compact student network through learning from their high-performance but more complex teacher variant. When applied in the context of image super-resolution, most KD approaches are modified versions of methods developed for other computer vision tasks, which are based on training strategies with a single teacher and simple loss functions. In this paper, we propose a novel Multi-Teacher Knowledge Distillation (MTKD) framework specifically for image super-resolution. It exploits the advantages of multiple teachers by combining and enhancing the outputs of these teacher models, which then guides the learning process of the compact student network. To achieve more effective learning performance, we have also developed a new wavelet-based loss function for MTKD, which can better optimize the training process by observing differences in both the spatial and frequency domains. We fully evaluate the effectiveness of the proposed method by comparing it to five commonly used KD methods for image super-resolution based on three popular network architectures. The results show that the proposed MTKD method achieves evident improvements in super-resolution performance, up to 0.46dB (based on PSNR), over state-of-the-art KD approaches across different network structures. The source code of MTKD will be made available here for public evaluation.
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
Creators: name: Li, Qinfeng
name: Shen, Zhiqiang
name: Qin, Zhenghan
name: Xie, Yangfan
name: Zhang, Xuhong
name: Du, Tianyu
name: Yin, Jianwei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Proprietary large language models (LLMs) have been widely applied in various scenarios. Additionally, deploying LLMs on edge devices is trending for efficiency and privacy reasons. However, edge deployment of proprietary LLMs introduces new security challenges: edge-deployed models are exposed as white-box accessible to users, enabling adversaries to conduct effective model stealing (MS) attacks. Unfortunately, existing defense mechanisms fail to provide effective protection. Specifically, we identify four critical protection properties that existing methods fail to simultaneously satisfy: (1) maintaining protection after a model is physically copied; (2) authorizing model access at request level; (3) safeguarding runtime reverse engineering; (4) achieving high security with negligible runtime overhead. To address the above issues, we propose TransLinkGuard, a plug-and-play model protection approach against model stealing on edge devices. The core part of TransLinkGuard is a lightweight authorization module residing in a secure environment, e.g., TEE. The authorization module can freshly authorize each request based on its input. Extensive experiments show that TransLinkGuard achieves the same security protection as the black-box security guarantees with negligible overhead.
description: Accepted by ACM MM24 Conference
title: "Geschichte schreiben..."
Creators: name: Winkler, Bianca
Year: 2008

description: Diese Arbeit verfolgt die Frage nach den wissenschaftstheoretischen Grundlagen der Geschichtswissenschaft. Zu diesem Zweck wird im ersten Abschnitt die wissenschaftstheoretische Paradigmendiskussion reflektiert, danach werden brauchbare Kriterien zur Definition eines Paradigmas diskutiert. Anschließend, im zweiten Teil, werden diese Kriterien in eine geraffte Geschichte der jüngeren Geschichtswissenschaft inkorporiert und die wissenschaftstheoretischen Grundlagen der Geschichtswissenschaft besonders hervorgehoben. Dies soll einen Überblick schaffen, die Analysekriterien verständlich machen und eine Einbettung der Mitarbeiter des Institutes für Wirtschafts- und Sozialgeschichte in diese wissenschaftstheoretischen Traditionen ermöglichen. Im dritten Teil schließlich werden die Mitarbeiter des Institutes für Wirtschafts- und Sozialgeschichte auf Basis ihrer Publikationen von 2000-2007 vorgestellt und in wissenschaftstheoretische Traditionen – soweit dies möglich war – eingeordnet.
description: This paper is concerned with the philosophical components of history and the question about the scientific foundations of history as a universitary discipline. It also deals with the question whether history can be called a science or not, because in the german field everything is called science and there is no distinction between science and humanities as such. For that matter the first part deals with the discussion about paradigms and shows some analytical instruments for describing scientific predispositions. The second part recovers the history of history and shows different predispositions and paradigms within the tradition of doing history institutionally. The analytical framework from the first part will be used for that matter. The third part then tries to bind the historians from the institution for economic and social history to these predisposition and paradigms described in part two. This was done on the basis of their publications in the years 2000 - 2007.
Mens Sana In Corpore Sano: Sound Firmware Corpora for Vulnerability Research
Creators: name: Helmke, René
name: Padilla, Elmar
name: Aschenbruck, Nils
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Digital Libraries (cs.DL)
subject: FOS: Computer and information sciences

description: Firmware corpora for vulnerability research should be scientifically sound. Yet, several practical challenges complicate the creation of sound corpora: Sample acquisition, e.g., is hard and one must overcome the barrier of proprietary or encrypted data. As image contents are unknown prior analysis, it is hard to select high-quality samples that can satisfy scientific demands. Ideally, we help each other out by sharing data. But here, sharing is problematic due to copyright laws. Instead, papers must carefully document each step of corpus creation: If a step is unclear, replicability is jeopardized. This has cascading effects on result verifiability, representativeness, and, thus, soundness.
 Despite all challenges, how can we maintain the soundness of firmware corpora? This paper thoroughly analyzes the problem space and investigates its impact on research: We distill practical binary analysis challenges that significantly influence corpus creation. We use these insights to derive guidelines that help researchers to nurture corpus replicability and representativeness. We apply them to 44 top tier papers and systematically analyze scientific corpus creation practices. Our comprehensive analysis confirms that there is currently no common ground in related work. It shows the added value of our guidelines, as they discover methodical issues in corpus creation and unveil miniscule step stones in documentation. These blur visions on representativeness, hinder replicability, and, thus, negatively impact the soundness of otherwise excellent work.
 Finally, we show the feasibility of our guidelines and build a new, replicable corpus for large-scale analyses on Linux firmware: LFwC. We share rich meta data for good (and proven) replicability. We verify unpacking, deduplicate, identify contents, provide ground truth, and show LFwC's utility for research.
description: Accepted Manuscript for the 2025 Network and Distributed System Security Symposium (NDSS'25)
Efficiency and Cost Optimization of Dual Active Bridge Converter for 350kW DC Fast Chargers
Creators: name: Cinik, Sadik
name: Zhao, Fangzhou
name: De Falco, Giuseppe
name: Wang, Xiongfei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This study focuses on optimizing the design parameters of a Dual Active Bridge (DAB) converter for use in 350 kW DC fast chargers, emphasizing the balance between efficiency and cost. Addressing the observed gaps in existing high-power application research, it introduces an optimization framework to evaluate critical design parameters,number of converter modules, switching frequency, and transformer turns ratio,within a broad operational voltage range. The analysis identifies an optimal configuration that achieves over 95% efficiency at rated power across a wide output voltage range, comprising seven 50 kW DAB converters with a switching frequency of 30 kHz, and a transformer turns ratio of 0.9.
Super-resolved CARS by coherent image scanning
Creators: name: Zhitnitsky, Anna
name: Benjamin, Elad
name: Bitton, Ora
name: Oron, Dan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We present super-resolved coherent anti-Stokes Raman scattering (CARS) microscopy by implementing phase-resolved image scanning microscopy (ISM), achieving up to two-fold resolution increase as compared with a conventional CARS microscope. Phase-sensitivity is required for the standard pixel-reassignment procedure since the scattered field is coherent, thus the point-spread function (PSF) is well-defined only for the field amplitude. We resolve the complex field by a simple add-on to the CARS setup enabling inline interferometry. Phase-sensitivity offers additional contrast which informs the spatial distribution of both resonant and nonresonant scatterers. As compared with alternative super-resolution schemes in coherent nonlinear microscopy, the proposed method is simple, requires only low-intensity excitation, and is compatible with any conventional forward-detected CARS imaging setup.
Additional file 3 of Proteomic differences between extracellular vesicles and extracellular vesicle-depleted excretory/secretory products of barber’s pole worm
Creators: name: Wu, Fei
name: Chen, Xueqiu
name: Du, Zhendong
name: Chen, Yanqiong
name: Tong, Danni
name: Zhang, Jingju
name: Yang, Yi
name: Ma, Guangxu
name: Du, Aifang
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 3: Table S2. Selected proteins abundant in the small extracellular vesicles (EVs; top 13) or/and EV-depleted excretory/secretory products (ESPs; top 22) of Haemonchus contortus.
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Creators: name: Serrano, Sergio A.
name: Martinez-Carranza, Jose
name: Sucar, L. Enrique
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision causes RL methods to require large amounts of data, rendering them too expensive for many applications (e.g., robotics). By reusing knowledge from a different task, knowledge transfer methods present an alternative to reduce the training time in RL. Given the severe data scarcity, due to their flexibility, there has been a growing interest in methods capable of transferring knowledge across different domains (i.e., problems with different representations). However, identifying similarities and adapting knowledge across tasks from different domains requires matching their representations or finding domain-invariant features. These processes can be data-demanding, which poses the main challenge in cross-domain knowledge transfer: to select and transform knowledge in a data-efficient way, such that it accelerates learning in the target task, despite the presence of significant differences across problems (e.g., robots with distinct morphologies). Thus, this review presents a unifying analysis of methods focused on transferring knowledge across different domains. Through a taxonomy based on a transfer-approach categorization and a characterization of works based on their data-assumption requirements, the contributions of this article are 1) a comprehensive and systematic revision of knowledge transfer methods for the cross-domain RL setting, 2) a categorization and characterization of such methods to provide an analysis based on relevant features such as their transfer approach and data requirements, and 3) a discussion on the main challenges regarding cross-domain knowledge transfer, as well as on ideas of future directions worth exploring to address these problems.
weg – das trinationale festival des spazierens
Creators: name: Brefin, Daniel
name: Schwander, Markus
name: Brenner, Leonie
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2014
Subjects: subject: Spaziergangswissenschaft
subject: Promenadologie
subject: artistic research
subject: Raumwahrnehmung
subject: TriRegio baseliensis
subject: Grenzgang
subject: 700 - Künste, Bildende Kunst allgemein
subject: 791 - Öffentliche Darbietungen, Film, Rundfunk

description: weg – das trinationale festival des spazierens fand im Mai 2014 im Dreiländereck um Basel statt. Anhand von promenadologischen Interventionen, Vorträgen und Performances von internationalen und regionalen Fachleuten und KünstlerInnen wurden die Möglichkeiten des Spazierens als Methode zur Untersuchung und Vermittlung von Raum erprobt und diskutiert. Zwei Ausstellungen in der FABRIKculture Hégenheim (F) und im iaab Projektraum Basement (CH) begleiteten das Festival. Zudem wurden mit einer Ausschreibung Künstlerinnen und Künstler im trinationalen Raum gesucht, die sich für das Festival vertieft mit der Spaziergangswissenschaft auseinandersetzten und dafür im Auftrag des Festivals Interventionen und Performances entwickelten. Projektteam: Leonie Brenner, Markus Schwander, Daniel Brefin (Projektverantwortlicher)
Shear-Layer Perturbation Responses from Time-Resolved Schlieren Data
Creators: name: Stahl, Spencer L.
name: Kumar, Chandan
name: Gaitonde, Datta V.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A novel combination of physics-based and data-driven post-processing techniques is proposed to extract acoustic-related shear-layer perturbation responses directly from spatio-temporally resolved schlieren video. The physics-based component is derived from a momentum potential theory extension that extracts irrotational (acoustic and thermal) information from density gradients embedded in schlieren pixel intensities. For the unheated shear layer, the method spotlights acoustic structures and tones otherwise hidden. The filtered data is then subjected to a data-driven Dynamic Mode Decomposition Reduced Order Model (DMD-ROM), which provides the response to forced perturbations. This method applies a learned linear model to isolate and quantify growth rates of acoustic phenomena suited for efficient parametric studies. A shear-layer comprised of two streams at Mach 2.461 and 0.175, corresponding to a convective Mach number 0.88 and containing shocks, is adopted for illustration. The overall perturbation response is first obtained using an impulse forcing in the wall normal direction of the splitter plate, extending in both subsonic and supersonic streams. Subsequently, impulse and harmonic forcings are independently applied in a local pixel-by-pixel manner for a precise receptivity study. The acoustic response shows a convective wavepacket and an acoustic burst from the splitter plate. The interaction with the primary shock and associated wave dispersion emits a second, slower, acoustic wave. Harmonic forcing indicates higher frequency-dependent sensitivity in the supersonic stream, with the most sensitive location near the outer boundary layer region. Excitation here yields an order of magnitude larger acoustic response compared to disturbances in the subsonic stream. Some receptive forcing inputs do not generate significant acoustic waves, which may guide excitation with low noise impact.
description: 27 pages