cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Cosmological Dynamics of D-BIonic and DBI Scalar Field and Coincidence Problem of Dark Energy
Creators: name: Panpanich, Sirachak
name: Maeda, Kei-ichi
name: Mizuno, Shuntaro
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the cosmological dynamics of D-BIonic and DBI scalar field, which is coupled to matter fluid. For the exponential potential and the exponential couplings, we find a new analytic scaling solution yielding the accelerated expansion of the Universe. Since it is shown to be an attractor for some range of the coupling parameters, the density parameter of matter fluid can be the observed value, as in the coupled quintessence with a canonical scalar field. Contrary to the usual coupled quintessence, where the value of matter couple giving observed density parameter is too large to satisfy observational constraint from CMB, we show that the D-BIonic theory can give similar solution with much smaller value of matter coupling. As a result, together with the fact that the D-BIonic theory has a screening mechanism, the D-BIonic theory can solve the so-called coincidence problem as well as the dark energy problem.
description: 15 pages, 7 figures
Enriched monoidal categories I: centers
Creators: name: Kong, Liang
name: Yuan, Wei
name: Zhang, Zhi-Hao
name: Zheng, Hao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Category Theory (math.CT)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics

description: This work is the first one in a series, in which we develop a mathematical theory of enriched (braided) monoidal categories and their representations. In this work, we introduce the notion of the $E_0$-center ($E_1$-center or $E_2$-center) of an enriched (monoidal or braided monoidal) category, and compute the centers explicitly when the enriched (braided monoidal or monoidal) categories are obtained from the canonical constructions. These centers have important applications in the mathematical theory of gapless boundaries of 2+1D topological orders and that of topological phase transitions in physics. They also play very important roles in the higher representation theory, which is the focus of the second work in the series.
description: 56 pages. published version
Arrêt du parlement de Tournai, Pour obliger les Procureurs du Roi et Les Greffiers des Juridictions du ressort, de se conformer aux prescrits des articles XIX, titre des Informations, et XX, titre des Décrets de l'Ordonnance de 1670
Creators: name: Plouvain, Pierre-Antoine-Samuel-Joseph (1754-1832)
name: Six, Philippe-Josse-Auguste-Joseph (1732-1793)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2019
Subjects: Organisation judiciaire
Ressort judiciaire
Officier de justice d'Ancien Régime

description: Source: http://nordnum.univ-lille.fr/ark:/72505/a0115224001360im5Ol/from/a011522400136ypxWl12
description: Source: NAKALONA
description: Coverage: Parlement de Flandre
description: issued: 11/01/2019
Resource reallocation and its contribution to productivity growth in Australian broadacre agriculture
Creators: name: Sheng, Yu
name: Jackson, Thomas
name: Gooday, Peter
name: Sheng, Yu
name: Jackson, Thomas
name: Gooday, Peter
Publisher: name: Unknown
Year: 2015
Subjects: subject: Resource /Energy Economics and Policy
subject: total factor productivity
subject: resource reallocation
subject: Australian agriculture

description: This article uses farm survey data to measure the contribution of cross-farm resource reallocation to industry-level productivity growth in Australian broadacre agriculture. We show that resource reallocation between farms mainly occurred between incumbent farms and between farms with different productivity growth. Resource reallocation is estimated to account for around half of the industry-level productivity growth that occurred between 1978 and 2010, and its contribution appears to have increased over time. Moreover, we also show that resource reallocation effects vary across different inputs, partly due to their different mobility. This analysis improves our understanding of how reforms targeting structural adjustment – and the resource reallocation this generates – can influence aggregate productivity growth.
3D-printed artificial dielectrics for beam steering metasurfaces
Creators: name: Hayat, Touseef
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Fused decomposotion 3D printing technology can be used to develop artificial dielectric meta-atoms that are not available commercially, with the advantage of low cost and little human intervention. A two-dimensional periodic arrangement of artificial dielectric meta-atoms forms a metasurface, which can serve as a platform to realise subwavlength-thick phase shifting (PS) structures. Such metasurfaces manipulate radio frequency (RF) waves and possess the ability to control the amplitude, phase and polarisation of the field. The objective of this thesis is to develop highly transmitting sub-wavelength sized 3D printable meta-atoms that can inculcate a full 2π phase shift in the transmitting field. These meta-atoms are then used to design transmitting beam steering metasurfaces. The meta-atom configuration developed uses one dielectric and two metallic layers. The dielectric permittivity and height are varied to achieve a full range of [0, 2π] while ensuring transmission levels remain greater than -0.75 dB. Moreover, meta-atoms are used to design beam steering surfaces for resonant cavity antennas (RCA) operating at 20 GHz. A peak gain of 21.65 dBi was achieved and the RCA pattern can be steered to any elevation between 0° and 35° with less than 2 dB gain variation.
Critical probabilistic characteristics of the Cramér model for primes and arithmetical properties
Creators: name: Weber, Michel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: Primary 11A25, 11N05, Secondary 11B83

description: This work is a probabilistic study of the 'primes' of the Cramér model. We prove that there exists a set of integers $\mathcal S$ of density 1 such that \begin{equation}\liminf_{ \mathcal S\ni n\to\infty} (\log n)\mathbb{P} \{S_n\ \hbox{prime} \} \ge \frac{1}{\sqrt{2πe}\, }, \end{equation} and that for $b>\frac12$, the formula \begin{equation} \mathbb{P} \{S_n\ \text{prime}\, \} \, =\, \frac{ (1+ o( 1) )}{ \sqrt{2πB_n } } \int_{m_n-\sqrt{ 2bB_n\log n}}^{m_n+\sqrt{ 2bB_n\log n}} \, e^{-\frac{(t - m_n)^2}{ 2 B_n } }\, {\rm d}π(t), \end{equation} in which $m_n=\mathbb{E} S_n,B_n={\rm Var }\,S_n$, holds true for all $n\in \mathcal S$, $n\to \infty$. Further we prove that for any $0<η<1$, and all $n$ large enough and $ ζ_0\le ζ\le \exp\big\{ \frac{c\log n}{\log\log n}\big\}$, letting $S'_n= \sum_{j= 8}^n ξ_j$, \begin{eqnarray*} \mathbb{P}\big\{ S'_n\hbox{\ $ζ$-quasiprime}\big\} \,\ge \, (1-η) \frac{ e^{-γ} }{ \log ζ}, \end{eqnarray*} according to Pintz's terminology, where $c>0$ and $γ$ is Euler's constant. We also test which infinite sequences of primes are ultimately avoided by the 'primes' of the Cramér model, with probability 1. Moreover we show that the Cramér model has incidences on the Prime Number Theorem, since it predicts that the error term is sensitive to subsequences. We obtain sharp results on the length and the number of occurrences of intervals $I$ such as for some $z>0$, \begin{equation}\sup_{n\in I} \frac{|S_n-m_n|}{ \sqrt{B_n}}\le z, \end{equation} which are tied with the spectrum of the Sturm-Liouville equation.
description: 27 pages
Dynamic allocation of service robot resources to an order picking task considering functional and non-functional properties
Creators: name: Blender, Timo
name: Schlegel, Christian
Publisher: name: Technische Hochschule Ulm
Year: 2022
Subjects: subject: DDC 600 / Technology (Applied sciences)
subject: Serviceroboter
subject: Industrie 4.0

description: Industry 4.0 processes have often varying requirements. A service robot and a team of service robots respectively represent a flexible resource. That means, it possesses variability that can possibly be configured in such a way that it is able to fulfill the requirements of industry 4.0 processes. Determining whether that is the case and how that has to happen is an important part of variability management. Based on a model-driven general method for variability management in a robotics software ecosystem, we present here a concrete use case (model) in which we allocate for an order picking task with specific time requirements either a single fitting service robot or a collaboration of two fitting service robots. Relevant properties of the service robots considered are both functional (are the capabilities to execute the tasks available?) as well as non-functional (the desired velocity parameterization while executing the individual navigation sub tasks limited by the respective maximum speed of a service robot).
Thermal conductivity of local moment models with strong spin-orbit coupling
Creators: name: Stamokostas, Georgios L.
name: Lapas, Panteleimon E.
name: Fiete, Gregory A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the magnetic and lattice contributions to the thermal conductivity of electrically insulating strongly spin-orbit coupled magnetically ordered phases on a two-dimensional honeycomb lattice using the Kitaev-Heisenberg model. Depending on model parameters, such as the relative strength of the spin-orbit induced anisotropic coupling, a number of magnetically ordered phases are possible. In this work, we study two distinct regimes of thermal transport depending on whether the characteristic energy of the phonons or the magnons dominates, and focus on two different relaxation mechanisms, boundary scattering and magnon-phonon scattering. For spatially anisotropic magnetic phases, the thermal conductivity tensor can be highly anisotropic when the magnetic energy scale dominates, since the magnetic degrees of freedom dominate the thermal transport for temperatures well below the magnetic transition temperature. In the opposite limit in which the phonon energy scale dominates, the thermal conductivity will be nearly isotropic, reflecting the isotropic (at low temperatures) phonon dispersion assumed for the honeycomb lattice. We further discuss the extent to which thermal transport properties are influenced by strong spin-orbit induced anisotropic coupling in the local moment regime of insulating magnetic phases. The developed methodology can be applied to any 2D magnon-phonon system, and more importantly to systems where an analytical Bogoliubov transformation cannot be found and magnon bands are not necessarily isotropic.
description: 29 pages, 17 figures
Boson-Fermion correspondence, QQ-relations and Wronskian solutions of the T-system
Creators: name: Tsuboi, Zengo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Quantum Algebra (math.QA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: It is known that there is a correspondence between representations of superalgebras and ordinary (non-graded) algebras. Keeping in mind this type of correspondence between the twisted quantum affine superalgebra $U_{q}(gl(2r|1)^{(2)})$ and the non-twisted quantum affine algebra $U_{q}(so(2r+1)^{(1)})$, we proposed, in the previous paper [arXiv:1109.5524], a Wronskian solution of the T-system for $U_{q}(so(2r+1)^{(1)})$ as a reduction (folding) of the Wronskian solution for the non-twisted quantum affine superalgebra $U_{q}(gl(2r|1)^{(1)})$. In this paper, we elaborate on this solution, and give a proof missing in [arXiv:1109.5524]. In particular, we explain its connection to the Cherednik-Bazhanov-Reshetikhin (quantum Jacobi-Trudi) type determinant solution known in [arXiv:hep-th/9506167]. We also propose Wronskian-type expressions of T-functions (eigenvalues of transfer matrices) labeled by non-rectangular Young diagrams, which are quantum affine algebra analogues of the Weyl character formula for $so(2r+1)$. We show that T-functions for spinorial representations of $U_{q}(so(2r+1)^{(1)})$ are related to reductions of T-functions for asymptotic typical representations of $U_{q}(gl(2r|1)^{(1)})$.
description: 28 pages, v2: minor corrections; v3: misspellings corrected; v4: note added; v5: conditions for (A2) corrected, some other algebras cases are published in Nucl. Phys. B 1005 (2024) 116607 [arXiv:2309.16660]
MOESM1 of Chemical speciation and fate of tripolyphosphate after application to a calcareous soil
Creators: name: Hamilton, Jordan
name: Grosskleg, Jay
name: Hilger, David
name: Bradshaw, Kris
name: Carlson, Trevor
name: Siciliano, Steven
name: Peak, Derek
Publisher: name: figshare
Year: 2018
Subjects: subject: Biophysics
subject: Space Science
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Plant Biology

description: Additional file 1: Figure S1. Comprehensive library of phosphorus XANES reference standards used during linear combination fitting. Figure S2. X-ray diffraction of the vertical gradient borehole (US05) located directly adjacent to the amendment injection line. Dashed lines indicate the major carbonate phaseâ s calcite (C) and dolomite (D) (see Additional file: Table S1 for mineral phases and Rietveld refinement).
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
Creators: name: Nousi, Paraskevi
name: Fragkouli, Styliani-Christina
name: Passalis, Nikolaos
name: Iosif, Panagiotis
name: Apostolatos, Theocharis
name: Pappas, George
name: Stergioulas, Nikolaos
name: Tefas, Anastasios
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Recently, artificial neural networks have been gaining momentum in the field of gravitational wave astronomy, for example in surrogate modelling of computationally expensive waveform models for binary black hole inspiral and merger. Surrogate modelling yields fast and accurate approximations of gravitational waves and neural networks have been used in the final step of interpolating the coefficients of the surrogate model for arbitrary waveforms outside the training sample. We investigate the existence of underlying structures in the empirical interpolation coefficients using autoencoders. We demonstrate that when the coefficient space is compressed to only two dimensions, a spiral structure appears, wherein the spiral angle is linearly related to the mass ratio. Based on this finding, we design a spiral module with learnable parameters, that is used as the first layer in a neural network, which learns to map the input space to the coefficients. The spiral module is evaluated on multiple neural network architectures and consistently achieves better speed-accuracy trade-off than baseline models. A thorough experimental study is conducted and the final result is a surrogate model which can evaluate millions of input parameters in a single forward pass in under 1ms on a desktop GPU, while the mismatch between the corresponding generated waveforms and the ground-truth waveforms is better than the compared baseline methods. We anticipate the existence of analogous underlying structures and corresponding computational gains also in the case of spinning black hole binaries.
Additional file 6 of Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis
Creators: name: Yu, Qian
name: Wong, Ka-Kit
name: Lei, On-Kei
name: Nie, Jinlei
name: Shi, Qingde
name: Zou, Liye
name: Kong, Zhaowei
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Biotechnology
Cancer
Science Policy
Mental Health

description: Additional file 6: Appendix 5. Basic Information of Included Studies.
Binarity as the solution to the stellar evolution enigma posed by NGC 6791
Creators: name: Carraro, Giovanni
name: Benvenuto, Omar G.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Binary evolution is investigated as the source for the extreme horizontal branch (EHB) stars in the old and metal rich open cluster NGC~6791. Employing an updated version of our binary stellar evolution code we demonstrate that EHB stars naturally emerge from the common envelope phase. In sum, the binary model reproduces the observed ($T_{\rm{eff}}$, $\log{g}$) and temporal properties of the EHB over-density tied to NGC 6971, without needing an ad-hoc and anomalous mass-loss prescription.
description: 9 pages, 5 eps figures, accepted for publication in the Astrophysical Journal Letters
Wide beam pattern synthesis for holographic-based leaky wave antennas
Creators: name: Frey, Thomas
name: Döring, Maximilian
name: Waldschmidt, Christian
name: Chaloun, Tobias
Publisher: name: Universität Ulm
Year: 2024
Subjects: subject: Antenna measurements
subject: Gain measurement
subject: Antennas and propagation
subject: DDC 620 / Engineering & allied operations
subject: Antennas (Electronics)
subject: Leaky-wave antennas
subject: Frequency synthesizers
subject: Radio wave propagation
subject: Antenne
subject: Leckwellenantenne
subject: Modulation
subject: Frequenzsynthese
subject: Funkprognose

description: In this paper, a wide beam pattern synthesis method for holographic-based leaky wave antennas is presented. The desired beam width in the elevation plane is divided in multiple discrete angular sectors, leading to a non-uniform progression of the transverse modulation period across the antenna aperture. In order to achieve a flatter beam pattern, the division into the discrete elevation angles follows an exponential function instead of the common linear progression. Based on the wide beam pattern synthesis method, a HLWA with a desired 3 dB beam width of 40 o is designed and fabricated on a fused silica wafer for a frequency of 160 GHz. The far field measurements show a gain of 26 dBi, a minimum side-lobe level of 18 dB and a polarization purity of 40 dB at 160GHz.
Joint inversion in hydrogeophysics and near-surface geophysics
Creators: name: Linde, N.
name: Doetsch, J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: The near-surface environment is often too complex to enable inference of hydrological and environmental variables using one geophysical data type alone. Joint inversion and coupled inverse modeling involving numerical flow- and transport simulators have, in the last decade, played important roles in pushing applications towards increasingly challenging targets. Joint inversion of geophysical data that is based on structural constraints is often favored over model coupling based on explicit petrophysical relationships. More specifically, cross-gradient joint inversion has been applied to a wide range of near-surface applications and geophysical data types. To infer hydrological subsurface properties, the most appropriate approach is often to use temporal changes in geophysical data that can be related to hydrological state variables. This allows using geophysical data as indirect hydrological observables, while the coupling with a flow- and transport simulator ensures physical consistency. Future research avenues include investigating the validity of different coupling strategies at various scales, the spatial statistics of near-surface petrophysical relationships, the influence of the model conceptualization, fully probabilistic joint inversions, and how to include complex prior information in the joint inversion.
Human Health Effects of Indoor Environmental Quality, a scoping review
Creators: name: Gimeno, Elena
name: Peralta, Gabriela
name: Koch, Sarah
name: Mueller, Natalie
name: Dominguez, Alan
name: Josa, Alícia
name: Aymerich, Judith Garcia
name: Opbroek, Jet Sophie
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Environmental Public Health
subject: Public Health
subject: Medicine and Health Sciences
subject: Life Sciences

description: This review focuses on exposure to Indoor Environmental Quality (IEQ) and human health effects. We focus on healthy adults of the general population in various settings such as workplaces, educational facilites, transport and homes.
Medium of instruction (MOI) policy as a symptom of nationhood: a critical analysis of the MOI policy discourses in Malaysia
Creators: name: Khan, Mahmud Hasan
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: The aim of this research was to explain the discursive ‘rules’ of the construction of the medium of instruction (MOI) policy in Malaysia. The study of rules includes an exploration of the discursive techniques (e.g., intertextuality and interdiscursivity) employed by various individuals in their construction of the MOI policy debates in Malaysia. The discourse data obtained was collected from (1) the national parliament archives and (2) the archives of a selected number of mainstream and non-mainstream news media in Malaysia. The analysis focused on a specific MOI policy, i.e., PPSMI (Pengajaran dan Pembelajaran Sains dan Matematik Dalam Bahasa Inggeris tr. Teaching of Mathematics and Science in English) Policy that ran for six years (2003-2009). The discourse was analysed based on critical discourse analysis (Fairclough, 2001, 2009, 2013). The thesis explains the micro features within the textual formations and the macro features or the ‘conditions of possibility’ of textual formations. The analysis shows that the discursive formations were effects of local realities constructed in political terms. These formations were also effects of external factors, like the rise of English in the contemporary world. The analysis also shows that the members of the parliament and the writers of the newspaper articles made frequent reference to the global and local ‘realities’ in order to perspectivize (Reisigl &Wodak, 2009) and to legitimize (van Leewuen, 1999, 2008) their claims. The pro-policy individuals in their arguments minimized the foreign-ness associated with English in Malaysia. In their discourses English was constructed as a language of opportunity. Other constructions foregrounded were discourses of globalization, open market, modernity and so on. The anti-policy discourse on the other hand used the occasion of policy debates as an opportunity to address various socio-political antagonisms within the country. The pro and the anti-policy statements in Malaysia appeared to be a ‘symptom’ of a multilingual and multiethnic nationhood with large minorities.
Reliably-stabilizing piecewise-affine neural network controllers
Creators: name: Fabiani, Filippo
name: Goulart, Paul J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: A common problem affecting neural network (NN) approximations of model predictive control (MPC) policies is the lack of analytical tools to assess the stability of the closed-loop system under the action of the NN-based controller. We present a general procedure to quantify the performance of such a controller, or to design minimum complexity NNs with rectified linear units (ReLUs) that preserve the desirable properties of a given MPC scheme. By quantifying the approximation error between NN-based and MPC-based state-to-input mappings, we first establish suitable conditions involving two key quantities, the worst-case error and the Lipschitz constant, guaranteeing the stability of the closed-loop system. We then develop an offline, mixed-integer optimization-based method to compute those quantities exactly. Together these techniques provide conditions sufficient to certify the stability and performance of a ReLU-based approximation of an MPC control law.
Additional file 7 of Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis
Creators: name: Yu, Qian
name: Wong, Ka-Kit
name: Lei, On-Kei
name: Nie, Jinlei
name: Shi, Qingde
name: Zou, Liye
name: Kong, Zhaowei
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Biotechnology
Cancer
Science Policy
Mental Health

description: Additional file 7: Appendix 6. Risk of Bias Assessment.
Additional file 1: Figure S1. of Unique, dual-indexed sequencing adapters with UMIs effectively eliminate index cross-talk and significantly improve sensitivity of massively parallel sequencing
Creators: name: MacConaill, Laura
name: Burns, Robert
name: Anwesha Nag
name: Coleman, Haley
name: Slevin, Michael
name: Giorda, Kristina
name: Light, Madelyn
name: Lai, Kevin
name: Jarosz, Mirna
name: McNeill, Matthew
name: Ducar, Matthew
name: Meyerson, Matthew
name: Thorner, Aaron
Publisher: name: figshare
Year: 2018
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Proposed mechanism for index hopping. Residual-free index adapter or incomplete PCR extension products (orange) may anneal to a different template molecule (blue). Index hopping molecules will contain mismatched i5 and i7 sample indices. (PDF 818 kb)
The deformation quantization mapping of Poisson- to associative structures in field theory
Creators: name: Kiselev, Arthemy V.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Algebra (math.QA)
subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 53D55, 58E30, 81S10, secondary 53D17, 58Z05, 70S20

description: Let $\{{\cdot},{\cdot}\}_{\boldsymbol{\mathcal{P}}}$ be a variational Poisson bracket in a field model on an affine bundle $π$ over an affine base manifold $M^m$. Denote by $\times$ the commutative associative multiplication in the Poisson algebra $\boldsymbol{\mathcal{A}}$ of local functionals $Γ(π)\to\Bbbk$ that take field configurations to numbers. By applying the techniques from geometry of iterated variations, we make well defined the deformation quantization map ${\times}\mapsto{\star}={\times}+\hbar\,\{{\cdot},{\cdot}\}_{\boldsymbol{\mathcal{P}}}+\bar{o}(\hbar)$ that produces a noncommutative $\Bbbk[[\hbar]]$-linear star-product $\star$ in $\boldsymbol{\mathcal{A}}$.
description: Proc. 50th Sophus Lie Seminar (26-30 September 2016, Bedlewo, Poland), 8 figures, 24 pages
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Creators: name: Wu, Yuezhou
name: Kang, Yan
name: Luo, Jiahuan
name: He, Yuanqin
name: Yang, Qiang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Federated learning (FL) aims to protect data privacy by enabling clients to build machine learning models collaboratively without sharing their private data. Recent works demonstrate that information exchanged during FL is subject to gradient-based privacy attacks, and consequently, a variety of privacy-preserving methods have been adopted to thwart such attacks. However, these defensive methods either introduce orders of magnitude more computational and communication overheads (e.g., with homomorphic encryption) or incur substantial model performance losses in terms of prediction accuracy (e.g., with differential privacy). In this work, we propose $\textsc{FedCG}$, a novel federated learning method that leverages conditional generative adversarial networks to achieve high-level privacy protection while still maintaining competitive model performance. $\textsc{FedCG}$ decomposes each client's local network into a private extractor and a public classifier and keeps the extractor local to protect privacy. Instead of exposing extractors, $\textsc{FedCG}$ shares clients' generators with the server for aggregating clients' shared knowledge, aiming to enhance the performance of each client's local networks. Extensive experiments demonstrate that $\textsc{FedCG}$ can achieve competitive model performance compared with FL baselines, and privacy analysis shows that $\textsc{FedCG}$ has a high-level privacy-preserving capability. Code is available at https://github.com/yankang18/FedCG
Additional file 1 of Combined effects of pioglitazone and doxorubicin on migration and invasion of MDA-MB-231 breast cancer cells
Creators: name: Malakouti, Parisa
name: Mohammadi, Mobin
name: Boshagh, Mohammad Amin
name: Amini, Abbasali
name: Rezaee, Mohammad Ali
name: Rahmani, Mohammad Reza
Publisher: name: figshare
Year: 2022
Subjects: subject: Biophysics
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Developmental Biology
subject: Cancer

description: Additional file 1: (Geometric means of CXCR4 and CXCR7 cell surface expression in control groups and drug-treated groups). Figure S1. Flow Cytometry analysed geometric means of CXCR4 cell surface expression in three independent exposures of cells with drugs. Figure S2. Flow Cytometry analyzed geometric means of CXCR7 cell surface expression in two independent exposures of cells with drugs. Figure S3. Flow Cytometry analyzed geometric means of CXCR7 cell surface expression in two independent exposures of cells with drugs. Figure S4. Flow Cytometry analyzed geometric means of CXCR4 cell surface expression in three independent exposures of cells with drugs.
Dilogarithm identities in cluster scattering diagrams
Creators: name: Nakanishi, Tomoki
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics

description: We extend the notion of $y$-variables (coefficients) in cluster algebras to cluster scattering diagrams. Accordingly, we extend the dilogarithm identity associated with a period in a cluster pattern to the one associated with a loop in a cluster scattering diagram. We show that these identities are constructed from and reduced to a trivial one by applying the pentagon identity possibly infinitely many times.
description: v1: 20 pp; v2: 20pp, minor changes in Sec 2.1; v3: 22pp, Thm. 3.4, modified and proof revised; Thm. 4.6 (former 4.7), proof revised; v4: 22pp, final version to appear in Nagoya Math. J
Additional file 1 of Spatially explicit estimation of soil organic carbon stock of an estuarine mangrove wetland of eastern India using elemental analysis and very-fine resolution satellite data
Creators: name: Datta, Debajit
name: Bairagi, Madhumita
name: Dey, Mansa
name: Pal, Argha Pratim
name: Gayen, Jibananda
Publisher: name: figshare
Year: 2022
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: Plant Biology

description: Additional file 1: Table S1. Accuracy assessment of supervised classifications of satellite imageries used in the study. Table S2. LULC statistics of the study site from 1988 to 2018.
Additional file 8 of Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis
Creators: name: Yu, Qian
name: Wong, Ka-Kit
name: Lei, On-Kei
name: Nie, Jinlei
name: Shi, Qingde
name: Zou, Liye
name: Kong, Zhaowei
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Biotechnology
Cancer
Science Policy
Mental Health

description: Additional file 8: Appendix 7. Grading of Recommendations, Assessment, Development and Evaluations (GRADE).
Topological transitions induced by antiferromagnetism in a thin-film topological insulator
Creators: name: He, Qing Lin
name: Yin, Gen
name: Yu, Luyan
name: Grutter, Alexander J.
name: Pan, Lei
name: Kou, Xufeng
name: Che, Xiaoyu
name: Yu, Guoqiang
name: Nie, Tianxiao
name: Zhang, Bin
name: Shao, Qiming
name: Murata, Koichi
name: Zhu, Xiaodan
name: Fan, Yabin
name: Han, Xiaodong
name: Kirby, Brian J.
name: Wang, Kang L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Ferromagnetism in topological insulators (TIs) opens a topologically non-trivial exchange band gap, providing an exciting platform to manipulate the topological order through an external magnetic field. Here, we experimentally show that the surface of an antiferromagnetic thin film can independently control the topological order of the top and the bottom surface states of a TI thin film through proximity couplings. During the magnetization reversal in a field scan, two intermediate spin configurations stem from unsynchronized magnetic switchings of the top and the bottom AFM/TI interfaces. These magnetic configurations are shown to result in new topological phases with non-zero Chern numbers for each surface, introducing two counter-propagating chiral edge modes inside the exchange gap. This change in the number of transport channels, as the result of the topological transitions, induces antisymmetric magneto-resistance spikes during the magnetization reversal. With the high Neel ordering temperature provided by the antiferromagnetic layers, the signature of the induced topological transition persists in transport measurements up to a temperature of around 90 K, a factor of three over the Curie temperature in a typical magnetically doped TI thin film.
Generalizations of Loday's assembly maps for Lawvere's algebraic theories
Creators: name: Bohmann, Anna Marie
name: Szymik, Markus
Publisher: name: arXiv
Year: 2021
Subjects: subject: K-Theory and Homology (math.KT)
subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 19D23 (Primary), 18F25, 18C10, 55P42 (secondary)

description: Loday's assembly maps approximate the K-theory of group rings by the K-theory of the coefficient ring and the corresponding homology of the group. We present a generalization that places both ingredients on the same footing. Building on Elmendorf--Mandell's multiplicativity results and our earlier work, we show that the K-theory of Lawvere theories is lax monoidal. This result makes it possible to present our theory in a user-friendly way without using higher categorical language. It also allows us to extend the idea to new contexts and set up a non-abelian interpolation scheme, raising novel questions. Numerous examples illustrate the scope of our extension.
description: 24 pages. This paper overlaps with the first version of arXiv:2011.11755, which we have split into two separate papers in order to highlight the two separate directions of results. The current work contains the results on assembly maps and arXiv:2011.11755 focuses on Morita equivalence results. Revised version; to appear in J. Inst. Math. Jussieu
Additional file 1 of Loss of thymidine phosphorylase activity disrupts adipocyte differentiation and induces insulin-resistant lipoatrophic diabetes
Creators: name: Gautheron, Jérémie
name: Lima, Lara
name: Akinci, Baris
name: Zammouri, Jamila
name: Auclair, Martine
name: Ucar, Sema Kalkan
name: Ozen, Samim
name: Altay, Canan
name: Bax, Bridget E.
name: Nemazanyy, Ivan
name: Lenoir, Véronique
name: Prip-Buus, Carina
name: Acquaviva-Bourdain, Cécile
name: Lascols, Olivier
name: Fève, Bruno
name: Vigouroux, Corinne
name: Noel, Esther
name: Jéru, Isabelle
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 60506 Virology
subject: Computational Biology

description: Additional file 1: Table S1. Prediction of pathogenicity of variants identified in TYMP. Bioinformatic tools used to predict the pathogenicity of splice site and missense variants are not the same. CADD: Combined Annotation Dependent Depletion; SIFT: Sorting Intolerant From Tolerant; SPiP: Splicing Prediction Pipeline.
Additional file 1: of Biomarkers of inflammation in infants with cystic fibrosis
Creators: name: Laguna, Theresa
name: Williams, Cynthia
name: Nunez, Myra
name: Welchlin-Bradford, Cole
name: Moen, Catherine
name: Reilly, Cavan
name: Wendt, Chris
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Cumulative data for targeted biomarkers in healthy control and CF infants. (PDF 49 kb)
3D density structure and geological evolution of Stromboli volcano (Aeolian Islands, Italy) inferred from land-based and marine gravity data
Creators: name: Linde, N.
name: Baron, L.
name: Ricci, T.
name: Finizola, A.
name: Revil, A.
name: Muccini, F.
name: Cocchi, L.
name: Carmisciano, C.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: We present the first density model of Stromboli volcano (Aeolian Islands, Italy) obtained by simultaneously inverting land-based (543) and sea-surface (327) relative gravity data. Modern positioning technology, a 1 * 1 m digital elevation model, and a 15 * 15 m bathymetric model made it possible to obtain a detailed 3-D density model through an iteratively reweighted smoothness-constrained least-squares inversion that explained the land-based gravity data to 0.09 mGal and the sea-surface data to 5 mGal. Our inverse formulation avoids introducing any assumptions about density magnitudes. At 125 m depth from the land surface, the inferred mean density of the island is 2380 kg m-3, with corresponding 2.5 and 97.5 percentiles of 2200 and 2530 kg m-3. This density range covers the rock densities of new and previously published samples of Paleostromboli I, Vancori, Neostromboli and San Bartolo lava flows. High-density anomalies in the central and southern part of the island can be related to two main degassing faults crossing the island (N41 and N64) that are interpreted as preferential regions of dyke intrusions. In addition, two low-density anomalies are found in the northeastern part and in the summit area of the island. These anomalies seem to be geographically related with past paroxysmal explosive phreato-magmatic events that have played important roles in the evolution of Stromboli Island by forming the Scari caldera and the Neostromboli crater, respectively.
Additional file 9 of Comparative Effectiveness of Multiple Exercise Interventions in the Treatment of Mental Health Disorders: A Systematic Review and Network Meta-Analysis
Creators: name: Yu, Qian
name: Wong, Ka-Kit
name: Lei, On-Kei
name: Nie, Jinlei
name: Shi, Qingde
name: Zou, Liye
name: Kong, Zhaowei
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Biotechnology
Cancer
Science Policy
Mental Health

description: Additional file 9: Appendix 8. Outcomes of Pairwise Meta-Analysis, Network Meta-Analysis and Meta Regression.
Two Formulas for $F$-Polynomials
Creators: name: Lin, Feiyang
name: Musiker, Gregg
name: Nakanishi, Tomoki
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05E16

description: We discuss a product formula for $F$-polynomials in cluster algebras, and provide two proofs. One proof is inductive and uses only the mutation rule for $F$-polynomials. The other is based on the Fock-Goncharov decomposition of mutations. We conclude by expanding this product formula as a sum and illustrate applications. This expansion provides an explicit combinatorial computation of $F$-polynomials in a given seed that depends only on the $\mathbf{c}$-vectors and $\mathbf{g}$-vectors along a finite sequence of mutations from the initial seed to the given seed.
Ferroelectric glass of spheroidal dipoles with impurities: Polar nanoregions, response to applied electric field, and ergodicity breakdown
Creators: name: Takae, Kyohei
name: Onuki, Akira
Publisher: name: arXiv
Year: 2017
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Using molecular dynamics simulation, we study dipolar glass in crystals composed of slightly spheroidal, polar particles and spherical, apolar impurities between metal walls. We present physical pictures of ferroelectric glass, which have been observed in relaxors, mixed crystals (such as KCN$_x$KBr$_{1-x}$), and polymers. Our systems undergo a diffuse transition in a wide temperature range, where we visualize polar nanoregions (PNRs) surrounded by impurities. In our simulation, the impurities form clusters and their space distribution is heterogeneous. The polarization fluctuations are enhanced at relatively high $T$ depending on the size of the dipole moment. They then form frozen PNRs as $T$ is further lowered into the nonergodic regime. As a result, the dielectric permittivity exhibits the characteristic features of relaxor ferroelectrics. We also examine nonlinear response to cyclic applied electric field and nonergodic response to cyclic temperature changes (ZFC$/$FC), where the polarization and the strain change collectively and heterogeneously. We also study antiferroelectric glass arising from molecular shape asymmetry. We use an Ewald scheme of calculating the dipolar interaction in applied electric field.
description: 17 pages, 18 figures
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
Creators: name: Milosevic, Nikola
name: Thielemann, Wolfgang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: E.2; I.7

description: Biomedical research is growing at such an exponential pace that scientists, researchers, and practitioners are no more able to cope with the amount of published literature in the domain. The knowledge presented in the literature needs to be systematized in such a way that claims and hypotheses can be easily found, accessed, and validated. Knowledge graphs can provide such a framework for semantic knowledge representation from literature. However, in order to build a knowledge graph, it is necessary to extract knowledge as relationships between biomedical entities and normalize both entities and relationship types. In this paper, we present and compare few rule-based and machine learning-based (Naive Bayes, Random Forests as examples of traditional machine learning methods and DistilBERT, PubMedBERT, T5 and SciFive-based models as examples of modern deep learning transformers) methods for scalable relationship extraction from biomedical literature, and for the integration into the knowledge graphs. We examine how resilient are these various methods to unbalanced and fairly small datasets. Our experiments show that transformer-based models handle well both small (due to pre-training on a large dataset) and unbalanced datasets. The best performing model was the PubMedBERT-based model fine-tuned on balanced data, with a reported F1-score of 0.92. DistilBERT-based model followed with F1-score of 0.89, performing faster and with lower resource requirements. BERT-based models performed better then T5-based generative models.
description: Paper submitted to Journal of Semantic Web
Phase-Based Signal Representations for Scattering
Creators: name: Haider, Daniel
name: Balazs, Peter
name: Holighaus, Nicki
Publisher: name: arXiv
Year: 2022
Subjects: subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The scattering transform is a non-linear signal representation method based on cascaded wavelet transform magnitudes. In this paper we introduce phase scattering, a novel approach where we use phase derivatives in a scattering procedure. We first revisit phase-related concepts for representing time-frequency information of audio signals, in particular, the partial derivatives of the phase in the time-frequency domain. By putting analytical and numerical results in a new light, we set the basis to extend the phase-based representations to higher orders by means of a scattering transform, which leads to well localized signal representations of large-scale structures. All the ideas are introduced in a general way and then applied using the STFT.
Frame-related Sequences in Chains and Scales of Hilbert Spaces
Creators: name: Balazs, Peter
name: Bellomonte, Giorgia
name: Hosseinnezhad, Hessam
Publisher: name: arXiv
Year: 2022
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 42C15, 46C99, 47A70

description: Frames for Hilbert spaces are interesting for mathematicians but also important for applications e.g. in signal analysis and in physics. Both in mathematics and physics it is natural to consider a full scale of spaces, and not only a single one. In this paper, we study how certain frame-related properties, as completeness or the property of being a (semi-)frame, of a certain sequence in one of the spaces propagate to other spaces in a scale. We link that to the properties of the respective frame-related operators, like analysis or synthesis. We start with a detailed survey of the theory of Hilbert chains. Using a canonical isomorphism the properties of frame sequences are naturally preserved between different spaces. We also show that some results can be transferred if the original sequence is considered, in particular that the upper semi-frame property is kept in larger spaces, while the lower one to smaller ones. This leads to a negative result: a sequence can never be a frame for two Hilbert spaces of the scale if the scale is non-trivial, i.e. spaces are not equal.