cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dicrotendipes tritomus Thienemann & Kieffer 1916
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Dicrotendipes
Dicrotendipes tritomus

description: Dicrotendipes tritomus Thienemann & Kieffer, 1916
Notes
Morpho-molecular identification (GenBank ID: PQ 458107). First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Making Your References Work for You
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2023
Subjects: subject: Information literacy
subject: Library science

description: Referencing is an important part of the academic ecosystem. It can showcase the range of sources you have read, allow the reader to follow up on any interesting points and help to avoid the problem of plagiarism. But referencing can also be time consuming. This session will explore reference management tools and how they can support you throughout the entire research process from discovery to write up. Using Zotero as an example, it will cover how to import references from a range of sources, create easy in-text citations and produce a bibliography at the click of a button.
Anomaly Detection with Neural Parsers That Never Reject
Creators: name: Grushin, Alexander
name: Woods, Walt
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Computer and information sciences
subject: I.2.6; F.4.2
subject: 68T07 (Primary) 68Q42 (Secondary)

description: Reinforcement learning has recently shown promise as a technique for training an artificial neural network to parse sentences in some unknown format, through a body of work known as RL-GRIT. A key aspect of the RL-GRIT approach is that rather than explicitly inferring a grammar that describes the format, the neural network learns to perform various parsing actions (such as merging two tokens) over a corpus of sentences, with the goal of maximizing the estimated frequency of the resulting parse structures. This can allow the learning process to more easily explore different action choices, since a given choice may change the optimality of the parse (as expressed by the total reward), but will not result in the failure to parse a sentence. However, this also presents a limitation: because the trained neural network can successfully parse any sentence, it cannot be directly used to identify sentences that deviate from the format of the training sentences, i.e., that are anomalous. In this paper, we address this limitation by presenting procedures for extracting production rules from the neural network, and for using these rules to determine whether a given sentence is nominal or anomalous. When a sentence is anomalous, an attempt is made to identify the location of the anomaly. We empirically demonstrate that our approach is capable of grammatical inference and anomaly detection for both non-regular formats and those containing regions of high randomness/entropy. While a format with high randomness typically requires large sets of production rules, we propose a two pass grammatical inference method to generate parsimonious rule sets for such formats. By further improving parser learning, and leveraging the presented rule extraction and anomaly detection algorithms, one might begin to understand common errors, either benign or malicious, in practical formats.
description: 10 pages, 3 figures
Making Your References Work for You
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Information literacy
subject: Library science

description: Referencing is an important part of the academic ecosystem. It can showcase the range of sources you have read, allow the reader to follow up on any interesting points and help to avoid the problem of plagiarism. But referencing can also be time consuming. This session will explore reference management tools and how they can support you throughout the entire research process from discovery to write up. Using Zotero as an example, it will cover how to import references from a range of sources, create easy in-text citations and produce a bibliography at the click of a button.
LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
Creators: name: Xie, Cui
name: Guo, Hao
name: Dong, Junyu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Ocean fronts can cause the accumulation of nutrients and affect the propagation of underwater sound, so high-precision ocean front detection is of great significance to the marine fishery and national defense fields. However, the current ocean front detection methods either have low detection accuracy or most can only detect the occurrence of ocean front by binary classification, rarely considering the differences of the characteristics of multiple ocean fronts in different sea areas. In order to solve the above problems, we propose a semantic segmentation network called location and seasonality enhanced network (LSENet) for multi-class ocean fronts detection at pixel level. In this network, we first design a channel supervision unit structure, which integrates the seasonal characteristics of the ocean front itself and the contextual information to improve the detection accuracy. We also introduce a location attention mechanism to adaptively assign attention weights to the fronts according to their frequently occurred sea area, which can further improve the accuracy of multi-class ocean front detection. Compared with other semantic segmentation methods and current representative ocean front detection method, the experimental results demonstrate convincingly that our method is more effective.
Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns
Creators: name: Caldas, Ricardo
name: Ghzouli, Razan
name: Papadopoulos, Alessandro V.
name: Pelliccione, Patrizio
name: Weyns, Danny
name: Berger, Thorsten
Publisher: name: arXiv
Year: 2021
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: A traditional approach to realize self-adaptation in software engineering (SE) is by means of feedback loops. The goals of the system can be specified as formal properties that are verified against models of the system. On the other hand, control theory (CT) provides a well-established foundation for designing feedback loop systems and providing guarantees for essential properties, such as stability, settling time, and steady state error. Currently, it is an open question whether and how traditional SE approaches to self-adaptation consider properties from CT. Answering this question is challenging given the principle differences in representing properties in both fields. In this paper, we take a first step to answer this question. We follow a bottom up approach where we specify a control design (in Simulink) for a case inspired by Scuderia Ferrari (F1) and provide evidence for stability and safety. The design is then transferred into code (in C) that is further optimized. Next, we define properties that enable verifying whether the control properties still hold at code level. Then, we consolidate the solution by mapping the properties in both worlds using specification patterns as common language and we verify the correctness of this mapping. The mapping offers a reusable artifact to solve similar problems. Finally, we outline opportunities for future work, particularly to refine and extend the mapping and investigate how it can improve the engineering of self-adaptive systems for both SE and CT engineers.
MAKTABGACHA TAʼLIM TASHKILOTLARIDA DIDAKTIK OʻYINLARDAN FOYDALANISH
Creators: name: Maxmudova, O.T.
name: Kimsanboyeva, G.K.
Publisher: name: Zenodo
Year: 2025

description: Maktabgacha yoshdagi bolalar uchun o‘yin – asosiy faoliyat turi bo‘lib, u bolaning dunyoqarashini kengaytirish, bilish qobiliyatlarini rivojlantirish va ijtimoiylashuv jarayonida muhim ahamiyat kasb etadi. Didaktik o‘yinlar esa bolalarni o‘qitish va tarbiyalash jarayonida samarali vosita sifatida qo‘llaniladi. Ushbu maqolada didaktik o‘yinlarning mohiyati, ularning turlari va maktabgacha ta’lim tashkilotlarida qo‘llashning ahamiyati yoritiladi.
Zero-sum cycles in flexible non-triangular polyhedra
Creators: name: Gallet, Matteo
name: Grasegger, Georg
name: Legerský, Jan
name: Schicho, Josef
Publisher: name: arXiv
Year: 2021
Subjects: subject: Metric Geometry (math.MG)
subject: Algebraic Geometry (math.AG)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Finding necessary conditions for the geometry of flexible polyhedra is a classical problem that has received attention also in recent times. For flexible polyhedra with triangular faces, we showed in a previous work the existence of cycles with a sign assignment for their edges, such that the signed sum of the edge lengths along the cycle is zero. In this work, we extend this result to flexible non-triangular polyhedra.
description: 9 pages
Data Management Plans (presenter notes)
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2022
Subjects: subject: Research--Data processing

description: Whatever form your research takes you will be using, collecting and generating a large volume of data. It is important to have a plan to manage this information, not just to help you work more efficiently but because many funders demand evidence of a plan before you start your project. This session will introduce you to data management plans, discuss their key components, demonstrate tools which can help you create a plan and guide you through the process of planning for your project.
Data Management Plans (presenter notes)
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Research--Data processing

description: Whatever form your research takes you will be using, collecting and generating a large volume of data. It is important to have a plan to manage this information, not just to help you work more efficiently but because many funders demand evidence of a plan before you start your project. This session will introduce you to data management plans, discuss their key components, demonstrate tools which can help you create a plan and guide you through the process of planning for your project.
Heat transfer in turbulent Rayleigh-Bénard convection within two immiscible fluid layers
Creators: name: Liu, Hao-Ran
name: Chong, Kai Leong
name: Yang, Rui
name: Verzicco, Roberto
name: Lohse, Detlef
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We numerically investigate turbulent Rayleigh-Bénard convection within two immiscible fluid layers, aiming to understand how the layer thickness and fluid properties affect the heat transfer (characterized by the Nusselt number $Nu$) in two-layer systems. Both two- and three-dimensional simulations are performed at fixed global Rayleigh number $Ra=10^8$, Prandtl number $Pr=4.38$, and Weber number $We=5$. We vary the relative thickness of the upper layer between $0.01 \le α\le 0.99$ and the thermal conductivity coefficient ratio of the two liquids between $0.1 \le λ_k \le 10$. Two flow regimes are observed: In the first regime at $0.04\leα\le0.96$, convective flows appear in both layers and $Nu$ is not sensitive to $α$. In the second regime at $α\le0.02$ or $α\ge0.98$, convective flow only exists in the thicker layer, while the thinner one is dominated by pure conduction. In this regime, $Nu$ is sensitive to $α$. To predict $Nu$ in the system in which the two layers are separated by a unique interface, we apply the Grossmann-Lohse theory for both individual layers and impose heat flux conservation at the interface. Without introducing any free parameter, the predictions for $Nu$ and for the temperature at the interface well agree with our numerical results and previous experimental data.
description: 13 pages, 6 figures
Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks
Creators: name: Ferrari, Davide
name: Amoretti, Michele
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Complexity (cs.CC)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Quantum compilation is the problem of translating an input quantum circuit into the most efficient equivalent of itself, taking into account the characteristics of the device that will execute the computation. Compilation strategies are composed of sequential passes that perform placement, routing and optimization tasks. Noise-adaptive compilers do take the noise statistics of the device into account, for some or all passes. The noise statics can be obtained from calibration data, and updated after each device calibration. In this paper, we propose a novel noise-adaptive compilation strategy that is computationally efficient. The proposed strategy assumes that the quantum device coupling map uses a heavy-hexagon lattice. Moreover, we present the application-motivated benchmarking of the proposed noise-adaptive compilation strategy, compared with some of the most advanced state-of-art approaches. The presented results seem to indicate that our compilation strategy is particularly effective for deep circuits and for square circuits.
Einfeldia pagana
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Einfeldia
Einfeldia pagana

description: Einfeldia pagana (Meigen, 1838)
Notes
Morpho-molecular identification (GenBank ID: PQ 458108; PQ 458109). First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
Dynamical Instability of Collapsed Dark Matter Halos
Creators: name: Feng, Wei-Xiang
name: Yu, Hai-Bo
name: Zhong, Yi-Ming
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: A self-interacting dark matter halo can experience gravothermal collapse, resulting in a central core with an ultrahigh density. It can further contract and collapse into a black hole, a mechanism proposed to explain the origin of supermassive black holes. We study dynamical instability of the core in general relativity. We use a truncated Maxwell-Boltzmann distribution to model the dark matter distribution and solve the Tolman-Oppenheimer-Volkoff equation. For given model parameters, we obtain a series of equilibrium configurations and examine their dynamical instability based on considerations of total energy, binding energy, fractional binding energy, and adiabatic index. Our numerical results indicate that the core can collapse into a black hole when the fractional binding energy reaches $0.035$ with a central gravitational redshift of $0.5$. We further show for the instability to occur in the classical regime, the boundary temperature of the core should be at least $10\%$ of the mass of dark matter particles; for a $10^9~{\rm M_\odot}$ seed black hole, the particle mass needs to be larger than a few keV. These results can be used to constrain different collapse models, in particular, those with dissipative dark matter interactions.
description: 23 pages, 4 figures, 2 tables, minor typos corrected, new section connecting to the conducting fluid model, version accepted for publication in JCAP
Publishing Your Research in an Open World
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2022
Subjects: subject: Scholarly publishing

description: The world of publication is changing. There are more ways to share the outputs of your research than ever before and at the same time there is an increasing emphasis on sharing these outputs openly. This session will guide you through the essentials of publishing and sharing your research outputs (both formal and informal) to ensure maximum exposure for your work. From choosing the best format and publisher to avoiding problem publishers this session will outline everything you need to know including an introduction to open access.
Symmetry-protected quantization of complex Berry phases in non-Hermitian many-body systems
Creators: name: Tsubota, Shoichi
name: Yang, Hong
name: Akagi, Yutaka
name: Katsura, Hosho
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate the quantization of the complex-valued Berry phases in non-Hermitian quantum systems with certain generalized symmetries. In Hermitian quantum systems, the real-valued Berry phase is known to be quantized in the presence of certain symmetries, and this quantized Berry phase can be regarded as a topological order parameter for gapped quantum systems. In this paper, on the other hand, we establish that the complex Berry phase is also quantized in the systems described by a family of non-Hermitian Hamiltonians. Let $H(θ)$ be a non-Hermitian Hamiltonian parameterized by $θ$. Suppose that there exists a unitary and Hermitian operator $P$ such that $PH(θ)P = H(-θ)$ or $PH(θ)P = H^\dagger(-θ)$. We prove that in the former case, the complex Berry phase $γ$ is $\mathbb{Z}_2$-quantized, while in the latter, only the real part of $γ$ is $\mathbb{Z}_2$-quantized. The operator $P$ can be viewed as a generalized symmetry for $H(θ)$, and in practice, $P$ can be, for example, a spatial inversion. We also argue that this quantized complex Berry phase is capable of classifying non-Hermitian topological phases, and we demonstrate this in some one-dimensional strongly correlated systems.
description: 6 pages, 4 figures
Publishing Your Research in an Open World
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Scholarly publishing

description: The world of publication is changing. There are more ways to share the outputs of your research than ever before and at the same time there is an increasing emphasis on sharing these outputs openly. This session will guide you through the essentials of publishing and sharing your research outputs (both formal and informal) to ensure maximum exposure for your work. From choosing the best format and publisher to avoiding problem publishers this session will outline everything you need to know including an introduction to open access.
Music Demixing Challenge 2021
Creators: name: Mitsufuji, Yuki
name: Fabbro, Giorgio
name: Uhlich, Stefan
name: Stöter, Fabian-Robert
name: Défossez, Alexandre
name: Kim, Minseok
name: Choi, Woosung
name: Yu, Chin-Yun
name: Cheuk, Kin-Wai
Publisher: name: arXiv
Year: 2021
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Music source separation has been intensively studied in the last decade and tremendous progress with the advent of deep learning could be observed. Evaluation campaigns such as MIREX or SiSEC connected state-of-the-art models and corresponding papers, which can help researchers integrate the best practices into their models. In recent years, the widely used MUSDB18 dataset played an important role in measuring the performance of music source separation. While the dataset made a considerable contribution to the advancement of the field, it is also subject to several biases resulting from a focus on Western pop music and a limited number of mixing engineers being involved. To address these issues, we designed the Music Demixing (MDX) Challenge on a crowd-based machine learning competition platform where the task is to separate stereo songs into four instrument stems (Vocals, Drums, Bass, Other). The main differences compared with the past challenges are 1) the competition is designed to more easily allow machine learning practitioners from other disciplines to participate, 2) evaluation is done on a hidden test set created by music professionals dedicated exclusively to the challenge to assure the transparency of the challenge, i.e., the test set is not accessible from anyone except the challenge organizers, and 3) the dataset provides a wider range of music genres and involved a greater number of mixing engineers. In this paper, we provide the details of the datasets, baselines, evaluation metrics, evaluation results, and technical challenges for future competitions.
Supplementary document for Experimental implementation for near-field displaying application of bound states in continuum supported by terahertz metasurfaces - 6212910.pdf
Creators: name: Cai, HaoCheng
name: Li, Jitao
name: MAO, LUHONG
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: document conclude two parts S1. Reasons to see the pattern with the naked eye and S2. Polarization dependence of transmission of symmetric and asymmetric unit cells
Kondomania
Creators: name: Kirchner, Stefan
name: Paschen, Silke
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Originally the Kondo effect describes a scattering mechanism of electrons in metals that have defects with internal quantum mechanical degrees of freedom. The characteristic dynamic interplay between localized and itinerant states occurs in many different forms. It is now clear that the Kondo effect shapes the properties of various classes of quantum materials and is a key to understanding their unusual properties. In the following we outline a selection of the most important developments in this Kondomania.
description: 12 pages in preprint form, in German, 9 figures; invited contribution for publication in Physik in unserer Zeit
Geometry of gyrogroups via Klein's approach
Creators: name: Suksumran, Teerapong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: Primary 20N05, Secondary 20B35

description: Using Klein's approach, geometry can be studied in terms of a space of points and a group of transformations of that space. This allows us to apply algebraic tools in studying geometry of mathematical structures. In this article, we follow Klein's approach to study the geometry $(G, \mathcal{T})$, where $G$ is an abstract gyrogroup and $\mathcal{T}$ is an appropriate group of transformations containing all gyroautomorphisms of $G$. We focus on $n$-transitivity of gyrogroups and also give a few characterizations of coset spaces to be minimally invariant sets. We then prove that the collection of open balls of equal radius is a minimally invariant set of the geometry $(G, Γ_m)$ for any normed gyrogroup $G$, where $Γ_m$ is a suitable group of isometries of $G$.
description: 20 pages
Application of Bootstrap to $θ$-term
Creators: name: Aikawa, Yu
name: Morita, Takeshi
name: Yoshimura, Kota
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Recently, novel numerical computation on quantum mechanics by using a bootstrap method was proposed by Han, Hartnoll, and Kruthoff. We consider whether this method works in systems with a $θ$-term, where the standard Monte-Carlo computation may fail due to the sign problem. As a starting point, we study quantum mechanics of a charged particle on a circle in which a constant gauge potential is a counterpart of a $θ$-term. We find that it is hard to determine physical quantities as functions of $θ$ such as $E(θ)$, except at $θ=0$ and $π$. On the other hand, the correlations among observables for energy eigenstates are correctly reproduced for any $θ$. Our results suggest that the bootstrap method may work not perfectly but sufficiently well, even if a $θ$-term exists in the system.
description: 16 pages, 5 figures.v3: matches published version in PRD, appendix on the details of the numerical bootstrap was added
Refresh Your Study Skills (presenter notes)
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2023
Subjects: subject: Information literacy

description: As we start a new term it's a good idea to reflect back on what went well and where there is room to improve. Join the Physical Sciences Research Support Team for a whistle stop review of study skills. We will answer your questions, share our top tips and resources and get you ready for the term ahead.
Refresh Your Study Skills (presenter notes)
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Information literacy

description: As we start a new term it's a good idea to reflect back on what went well and where there is room to improve. Join the Physical Sciences Research Support Team for a whistle stop review of study skills. We will answer your questions, share our top tips and resources and get you ready for the term ahead.
Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation
Creators: name: Li, Xuhong
name: Leitinger, Erik
name: Venus, Alexander
name: Tufvesson, Fredrik
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper proposes a belief propagation (BP)-based algorithm for sequential detection and estimation of multipath component (MPC) parameters based on radio signals. Under dynamic channel conditions with moving transmitter/receiver, the number of MPCs, the MPC dispersion parameters, and the number of false alarm contributions are unknown and time-varying. We develop a Bayesian model for sequential detection and estimation of MPC dispersion parameters, and represent it by a factor graph enabling the use of BP for efficient computation of the marginal posterior distributions. At each time step, a snapshot-based parametric channel estimator provides parameter estimates of a set of MPCs which are used as noisy measurements by the proposed BP-based algorithm. It performs joint probabilistic data association, and estimation of the time-varying MPC parameters and the mean number of false alarm measurements, by means of the sum-product algorithm rules. The algorithm also exploits amplitude information enabling the reliable detection of "weak" MPCs with very low component signal-to-noise ratios (SNRs). The performance of the proposed algorithm compares well to state-of-the-art algorithms for high SNR MPCs, but it significantly outperforms them for medium or low SNR MPCs. Results using real radio measurements demonstrate the excellent performance of the proposed algorithm in realistic and challenging scenarios.
description: 20 pages (two column), 10 figures, IEEE Transaction on Wireless Communications
The Off-Shell Recursion for Gravity and the Classical Double Copy for currents
Creators: name: Cho, Kyoungho
name: Kim, Kwangeon
name: Lee, Kanghoon
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We construct the off-shell recursion for gravity and the graviton current for the perturbative double field theory (DFT). We first formulate the perturbative DFT, which is equivalent but simpler to perturbative general relativity, to all-orders in fluctuations of generalised metric. The perturbative action and equations of motion (EoM) are derived to arbitrary order for pure gravity case. We then derive the graviton off-shell recursion, the gravity counterpart of the Berends-Giele recursion in Yang-Mills theory, through the so-called perturbiner method using the EoM of the perturbative DFT. We solve the recursion iteratively and obtain the graviton off-shell currents explicitly. We then discuss the classical double copy for the off-shell currents. We present the current KLT relation for gravity by extending the result proposed by Mizera and Skrzypek for the non-gravitational effective field theories. The relation represents graviton currents by squaring gluon currents with the KLT kernel up to gauge transformation and regular terms that do not have any pole. Finally we discuss the off-shell conservation of currents for nonlinear gauge choices.
description: 38 pages; v2: minor changes and fixes; v3: references added, published version
Making an Impact with Modern Metrics
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2022
Subjects: subject: Scholarly publishing

description: This session offers an introduction to modern metrics as one element of a wider system to measure success. Learn about traditional metrics, newer methods such as Altmetrics and why there is more to impact than just numbers. It also discusses the move towards the responsible use of metrics and how research active staff at any level can get involved.
Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation
Creators: name: Zhang, Jianping
name: Li, Yanyan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: Image registration has played an important role in image processing problems, especially in medical imaging applications. It is well known that when the deformation is large, many variational models cannot ensure diffeomorphism. In this paper, we propose a new registration model based on an optimal control relaxation constraint for large deformation images, which can theoretically guarantee that the registration mapping is diffeomorphic. We present an analysis of optimal control relaxation for indirectly seeking the diffeomorphic transformation of Jacobian determinant equation and its registration applications, including the construction of diffeomorphic transformation as a special space. We also provide an existence result for the control increment optimization problem in the proposed diffeomorphic image registration model with an optimal control relaxation. Furthermore, a fast iterative scheme based on the augmented Lagrangian multipliers method (ALMM) is analyzed to solve the control increment optimization problem, and a convergence analysis is followed. Finally, a grid unfolding indicator is given, and a robust solving algorithm for using the deformation correction and backtrack strategy is proposed to guarantee that the solution is diffeomorphic. Numerical experiments show that the registration model we proposed can not only get a diffeomorphic mapping when the deformation is large, but also achieves the state-of-the-art performance in quantitative evaluations in comparing with other classical models.
description: This is a preprint manuscript, which is submitted to SIIMS Journal
Making an Impact with Modern Metrics
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Scholarly publishing

description: This session offers an introduction to modern metrics as one element of a wider system to measure success. Learn about traditional metrics, newer methods such as Altmetrics and why there is more to impact than just numbers. It also discusses the move towards the responsible use of metrics and how research active staff at any level can get involved.
Room-temperature biphoton source with a spectral brightness near the ultimate limit
Creators: name: Chen, Jia-Mou
name: Hsu, Chia-Yu
name: Huang, Wei-Kai
name: Hsiao, Shih-Si
name: Huang, Fu-Chen
name: Chen, Yi-Hsin
name: Chuu, Chih-Sung
name: Chen, Ying-Cheng
name: Chen, Yong-Fan
name: Yu, Ite A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The biphotons, generated from a hot atomic vapor via the process of spontaneous four-wave mixing (SFWM), have the following merits: stable and tunable frequencies as well as linewidth. Such merits are very useful in the applications of long-distance quantum communication. However, the hot-atom SFWM biphoton sources previously had far lower values of generation rate per linewidth, i.e., spectral brightness, as compared with the sources of biphotons generated by the spontaneous parametric down conversion (SPDC) process. Here, we report a hot-atom SFWM source of biphotons with a linewidth of 960 kHz and a generation rate of 3.7$\times$ $10^5$ pairs/s. The high generation rate, together with the narrow linewidth, results in a spectral brightness of 3.8$\times$ $10^5$ pairs/s/MHz, which is 17 times of the previous best result with atomic vapors and also better than all known results with all kinds of media. The all-copropagating scheme together with a large optical depth (OD) of the atomic vapor is the key improvement, enabling the achieved spectral brightness to be about one quarter of the ultimate limit. Furthermore, this biphoton source had a signal-to-background ratio (SBR) of 2.7, which violated the Cauchy-Schwartz inequality for classical light by about 3.6 folds. Although an increasing spectral brightness usually leads to a decreasing SBR, our systematic study indicates that both of the present spectral brightness and SBR can be enhanced by further increasing the OD. This work demonstrates a significant advancement and provides useful knowledge in the quantum technology using photons.
Endochironomus albipennis
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Endochironomus
Endochironomus albipennis

description: Endochironomus albipennis (Meigen, 1830)
Notes
Morpho identification. First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
INTERNETDAN FOYDALANISH HUQUQINING TEXNIK BO'LMAGAN OMILLARI.
Creators: name: Qudratillayev, Jaxongir
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada internetdan foydalanish huquqiga ta’sir qiluvchi texnik bo‘lmagan omillar tahlil qilinadi. Siyosiy, huquqiy, ijtimoiy, madaniy va iqtisodiy omillar internetga kirish imkoniyatiga qanday ta’sir ko‘rsatishi yoritiladi. Internetdan foydalanishning global va mahalliy darajadagi cheklovlari, raqamli tengsizlik muammolari va ularni bartaraf etish yo‘llari muhokama qilinadi. Maqola raqamli inklyuziyani ta’minlash uchun zarur bo‘lgan strategiyalarni ko‘rsatib beradi.
Recommender systems based on graph embedding techniques: A comprehensive review
Creators: name: Deng, Yue
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: As a pivotal tool to alleviate the information overload problem, recommender systems aim to predict user's preferred items from millions of candidates by analyzing observed user-item relations. As for alleviating the sparsity and cold start problems encountered by recommender systems, researchers resort to employing side information or knowledge in recommendation as a strategy for uncovering hidden (indirect) user-item relations, aiming to enrich observed information (or data) for recommendation. However, in the face of the high complexity and large scale of side information and knowledge, this strategy relies for efficient implementation on the scalability of recommendation models. Not until after the prevalence of machine learning did graph embedding techniques be a concentration, which can efficiently utilize complex and large-scale data. In light of that, equipping recommender systems with graph embedding techniques has been widely studied these years, appearing to outperform conventional recommendation implemented directly based on graph topological analysis. As the focus, this article retrospects graph embedding-based recommendation from embedding techniques for bipartite graphs, general graphs and knowledge graphs, and proposes a general design pipeline of that. In addition, after comparing several representative graph embedding-based recommendation models with the most common-used conventional recommendation models on simulations, this article manifests that the conventional models can overall outperform the graph embedding-based ones in predicting implicit user-item interactions, revealing the comparative weakness of graph embedding-based recommendation in these tasks. To foster future research, this article proposes suggestions on making a trade-off between graph embedding-based recommendation and conventional recommendation in different tasks, and puts forward open questions.
The Spread of Propaganda by Coordinated Communities on Social Media
Creators: name: Hristakieva, Kristina
name: Cresci, Stefano
name: Martino, Giovanni Da San
name: Conti, Mauro
name: Nakov, Preslav
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them, these two characteristics have so far been considered in isolation. Here we aim to bridge this gap. In particular, we analyze the spread of propaganda and its interplay with coordinated behavior on a large Twitter dataset about the 2019 UK general election. We first propose and evaluate several metrics for measuring the use of propaganda on Twitter. Then, we investigate the use of propaganda by different coordinated communities that participated in the online debate. The combination of the use of propaganda and coordinated behavior allows us to uncover the authenticity and harmfulness of the different communities. Finally, we compare our measures of propaganda and coordination with automation (i.e., bot) scores and Twitter suspensions, revealing interesting trends. From a theoretical viewpoint, we introduce a methodology for analyzing several important dimensions of online behavior that are seldom conjointly considered. From a practical viewpoint, we provide new insights into authentic and inauthentic online activities during the 2019 UK general election.
description: The 14th ACM Web Science Conference 2022 (WebSci '22)
Endochironomus tendens
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Endochironomus
Endochironomus tendens

description: Endochironomus tendens (Fabricius, 1775)
Notes
Morpho-molecular identification (GenBank ID: PQ 458110; PQ 458111). First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218
The Three-Dimensional Electronic Structure of LiFeAs: Strong-coupling Superconductivity and Topology in the Iron Pnictides
Creators: name: Day, Ryan P.
name: Na, MengXing
name: Zingl, Manuel
name: Zwartsenberg, Berend
name: Michiardi, Matteo
name: Levy, Giorgio
name: Schneider, Michael
name: Wong, Doug
name: Dosanjh, Pinder
name: Pedersen, Tor M.
name: Gorovikov, Sergey
name: Chi, Shun
name: Liang, Ruixing
name: Hardy, Walter N.
name: Bonn, Douglas A.
name: Zhdanovich, Sergey
name: Elfimov, Ilya S.
name: Damascelli, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Amongst the iron-based superconductors, LiFeAs is unrivalled in the simplicity of its crystal structure and phase diagram. However, our understanding of this canonical compound suffers from conflict between mutually incompatible descriptions of the material's electronic structure, as derived from contradictory interpretations of the photoemission record. Here, we explore the challenge of interpretation in such experiments. By combining comprehensive photon energy- and polarization- dependent angle-resolved photoemission spectroscopy (ARPES) measurements with numerical simulations, we establish the providence of several contradictions in the present understanding of this and related materials. We identify a confluence of surface-related issues which have precluded unambiguous identification of both the number and dimensionality of the Fermi surface sheets. Ultimately, we arrive at a scenario which supports indications of topologically non-trivial states, while also being incompatible with superconductivity as a spin-fluctuation driven Fermi surface instability.
description: 8 pages, 4 figures
Efficient computation of tight approximations to Chernoff bounds
Creators: name: Shiu, D. K. L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics

description: Chernoff bounds are a powerful application of the Markov inequality to produce strong bounds on the tails of probability distributions. They are often used to bound the tail probabilities of sums of Poisson trials, or in regression to produce conservative confidence intervals for the parameters of such trials. The bounds provide expressions for the tail probabilities that can be inverted for a given probability/confidence to provide tail intervals. The inversions involve the solution of transcendental equations and it is often convenient to substitute approximations that can be exactly solved e.g. by the quadratic equation. In this paper we introduce approximations for the Chernoff bounds whose inversion can be exactly solved with a quadratic equation, but which are closer approximations than those adopted previously.
description: 8 pages. Comput Stat (2022)
Supplementary document for Multicolor detour phase holograms based on Al plasmonic color filter - 6213326.pdf
Creators: name: Khaleghi, Seyed Saleh Mousavi
name: Wen, Dandan
name: Cadusch, Jasper
name: Crozier, Kenneth
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Document
Impulse Response Characterization of a Commercial Multimode Fiber using Superconducting Nanowire Single-Photon Detectors
Creators: name: Zhang, Yuanhang
name: Fontaine, Nicolas K.
name: Mazur, Mikael
name: Chen, Haoshuo
name: Ryf, Roland
name: Li, Guifang
name: Blanco-Redondo, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Time-of-flight measurements are key to study distributed mode coupling and differential mode group delay (DMDG) in multimode fibers (MMFs). However, current approaches using regular photodetectors with limited sensitivity preclude the detection of weak modal interactions in such fibers masking interesting physical effects. Here we demonstrate the use of high-sensitivity superconducting nanowire single-photon detectors (SNSPDs) to measure the mode transfer matrix of a commercial graded-index multimode fiber. Two high performance 45-mode multi-plane light conversion (MPLC) devices served as the mode multiplexer/demultiplexer. Distributed mode coupling and DMDG among different mode groups are accurately quantified from the impulse response measurement. We also observed cladding modes of the MMF as a pedestal of the pulse in the measurement. This work paves way for applications such as quantum communications using many spatial modes of the fiber.
description: 10 pages, journal paper
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion
Creators: name: Basir, Shamsulhaq
name: Senocak, Inanc
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Physics-informed neural networks (PINNs) have been proposed to learn the solution of partial differential equations (PDE). In PINNs, the residual form of the PDE of interest and its boundary conditions are lumped into a composite objective function as soft penalties. Here, we show that this specific way of formulating the objective function is the source of severe limitations in the PINN approach when applied to different kinds of PDEs. To address these limitations, we propose a versatile framework based on a constrained optimization problem formulation, where we use the augmented Lagrangian method (ALM) to constrain the solution of a PDE with its boundary conditions and any high-fidelity data that may be available. Our approach is adept at forward and inverse problems with multi-fidelity data fusion. We demonstrate the efficacy and versatility of our physics- and equality-constrained deep-learning framework by applying it to several forward and inverse problems involving multi-dimensional PDEs. Our framework achieves orders of magnitude improvements in accuracy levels in comparison with state-of-the-art physics-informed neural networks.
Glyptotendipes (Phytotendipes) cauliginellus
Creators: name: Stasiukynas, Laurynas
name: Laurindo da Silva, Fabio
name: Havelka, Jekaterina
name: Podėnas, Sigitas
name: Lekoveckaitė, Aistė
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Chironomidae
Glyptotendipes
Glyptotendipes cauliginellus

description: Glyptotendipes (Phytotendipes) cauliginellus (Kieffer, 1913)
Notes
Morpho-molecular identification (GenBank ID: PQ 458112). First record for Lithuania (Grigelis 1999).
description: Published as part of Stasiukynas, Laurynas, Laurindo da Silva, Fabio, Havelka, Jekaterina, Podėnas, Sigitas & Lekoveckaitė, Aistė, 2024, Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania, pp. e 130218 in Biodiversity Data Journal 12 on page e130218, DOI: 10.3897/BDJ.12.e130218