cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Quantum Unique Ergodicity for Eisenstein Series in the Level Aspect
Creators: name: Pan, Jiakun
name: Young, Matthew P.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Number Theory (math.NT)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 11F41

description: We prove a variety of quantum unique ergodicity results for Eisenstein series in the level aspect. A new feature of this variant of QUE is that the main term involves the logarithmic derivative of a Dirichlet $L$-function on the $1$-line. A zero of this $L$-function near the $1$-line can thus have a distorting effect on the main term. We obtain quantitative control on the test function and thereby prove an asymptotic formula in the level aspect version of the problem with test functions of shrinking support. Surprisingly, this asymptotic formula shows some obstruction to equidistribution that may retrospectively be interpreted as being caused by the growth of Eisenstein series in the cusps. We also make some coarse descriptions on the unevenness of the mass distribution of level $N$ Eisenstein series on the fibers of the canonical projection map from $Y_0(N)$ to $Y_0(1)$.
description: Multiple updates thanks to the referees
Alcoholism treatment digest (Release No. 98, February 13, 1970)
Creators: name: Keller, Mark
Publisher: name: No Publisher Supplied
Year: 1970

description: The Alcoholism Treatment Digest was a subscription-based publication prepared for special clients by the editorial department of the Quarterly Journal of Studies on Alcohol / Journal of Studies on Alcohol from 1950 to 1973 with Mark Keller as editor. It was published in February, April, June, October, and December, summarizing scholarly content on four topics, available to republish with attribution. Some of the reviews were simultaneously published in the "Connecticut Review on Alcoholism" under the identical subtitle "Alcoholism Treatment Digest" every other month. The authors of the reviews were first noted in 1964, in the June issue.Contents, Release No. 981.Problems in the Relationship of Physician and Alcoholic2.Disulfiram Poisoning in a Child3.Using the Patient's Strengths in Treatment4.Creating a Conditioned Aversion to Alcohol5.Some Special Treatment Problems with Alcoholic Women
An analog of adjoint ideals and PLT singularities in mixed characteristic
Creators: name: Ma, Linquan
name: Schwede, Karl
name: Tucker, Kevin
name: Waldron, Joe
name: Witaszek, Jakub
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: 14F18, 14B05, 13D22, 13A35, 14D10, 11G99

description: We use the framework of perfectoid big Cohen-Macaulay algebras to define a class of singularities for pairs in mixed characteristic, which we call purely BCM-regular singularities, and a corresponding adjoint ideal. We prove that these satisfy adjunction and inversion of adjunction with respect to the notion of BCM-regularity and the BCM test ideal defined by the first two authors. We compare them with the existing equal characteristic PLT and purely $F$-regular singularities and adjoint ideals. As an application, we obtain a uniform version of the Briançon-Skoda theorem in mixed characteristic. We also use our theory to prove that two-dimensional KLT singularities are BCM-regular if the residue characteristic $p>5$, which implies an inversion of adjunction for three-dimensional PLT pairs of residue characteristic $p>5$. In particular, divisorial centers of PLT pairs in dimension three are normal when $p > 5$. Furthermore, in the appendix we provide a streamlined construction of perfectoid big Cohen-Macaulay algebras and show new functoriality properties for them using the perfectoidization functor of Bhatt and Scholze.
description: Missing hypothesis on residue characteristic added to Theorem 5.1
Supplementary document for Enhanced Graphene Surface Plasmonics through incorporation into Metallic nanostructures - 5887681.pdf
Creators: name: Dong, Yongliang
name: Bandaru, Prabhakar
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Fig. S1 MDM SPP resonances; Fig. S2. Graphene optical properties; Fig. S3 GrSPP resonances; Fig. S4. Modulation of MDM SPP due to graphene; Fig. S5. Further analysis of GrSPP-MDM SPP analyte refractive index sensing.
Correlation holes and slow dynamics induced by fractional statistics in gapped quantum spin liquids
Creators: name: Hart, Oliver
name: Wan, Yuan
name: Castelnovo, Claudio
Publisher: name: arXiv
Year: 2019
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Realistic model Hamiltonians for quantum spin liquids frequently exhibit a large separation of energy scales between their elementary excitations. At intermediate, experimentally relevant temperatures, some excitations are sparse and hop coherently, whereas others are thermally incoherent and dense. Here we study the interplay of two such species of quasiparticle, dubbed spinons and visons, which are subject to nontrivial mutual statistics -- one of the hallmarks of quantum spin liquid behaviour. Our results for $\mathbb{Z}_2$ quantum spin liquids show an intriguing feedback mechanism, akin to the Nagaoka effect, whereby spinons become localised on temperature-dependent patches of expelled visons. This phenomenon has important consequences for the thermodynamic and transport properties of the system, as well as for its response to quenches in temperature. We argue that these effects can be measured in experiments and may provide viable avenues for obtaining signatures of quantum spin liquid behaviour.
description: 7+4 pages, 6+3 figures; v2 is published version
Student Led Instruction vs. Teacher Led Instruction on beginning of class Warm Ups
Creators: name: Ells, Daniel
Publisher: name: Maryland Shared Open Access Repository
Year: 2016
Subjects: subject: Student Led vs. Teacher Led Instruction on Warm Ups
subject: Education -- Research papers (Graduate)

description: The purpose of this study was to compare student-led instruction on beginning of class warm ups to teacher led instruction on beginning of class warm ups.  Would combining two known effective strategies prove more efficient for achieving maximum student comprehension in mathematics compared to the traditional method of direct teaching instruction?    Two pairs of advanced math and standard math students participated in the study.  One group from each level was exposed to one of the strategies for an entire math unit for approximately four weeks.  Students completed a pre-test to set a benchmark to measure student growth.  Each week students completed small assessments to show any short term growth, and at the end of the four week unit all students completed a comprehensive unit exam.  The study showed that the null hypothesis was supported when comparing the assessments on academic growth between the two groups except during the week three assessment which rejected the null hypothesis. Therefore the results from the study show that further research needs to be done to determine the achievement benefits from student-led instruction during the beginning of class warm ups.
Synthetic topology in Homotopy Type Theory for probabilistic programming
Creators: name: Bidlingmaier, Martin E.
name: Faissole, Florian
name: Spitters, Bas
Publisher: name: arXiv
Year: 2019
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Category Theory (math.CT)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The ALEA Coq library formalizes measure theory based on a variant of the Giry monad on the category of sets. This enables the interpretation of a probabilistic programming language with primitives for sampling from discrete distributions. However, continuous distributions have to be discretized because the corresponding measures cannot be defined on all subsets of their carriers. This paper proposes the use of synthetic topology to model continuous distributions for probabilistic computations in type theory. We study the initial $σ$-frame and the corresponding induced topology on arbitrary sets. Based on these intrinsic topologies we define valuations and lower integrals on sets, and prove versions of the Riesz and Fubini theorems. We then show how the Lebesgue valuation, and hence continuous distributions, can be constructed.
Supplementary document for Enhanced Graphene Surface Plasmonics through incorporation into Metallic nanostructures - 5887681.pdf
Creators: name: Dong, Yongliang
name: Bandaru, Prabhakar
Publisher: name: Optica Publishing Group
Year: 2022
Subjects: Uncategorized

description: Fig. S1 MDM SPP resonances; Fig. S2. Graphene optical properties; Fig. S3 GrSPP resonances; Fig. S4. Modulation of MDM SPP due to graphene; Fig. S5. Further analysis of GrSPP-MDM SPP analyte refractive index sensing.
«MATEMATIKA DARSLARIDA QIZIQARLI USLUBLARDAN FOYDALANISH AHAMIYATI»
Creators: name: Raximova, Muxtaram
Publisher: name: Zenodo
Year: 2025

description: Maqolada matematika darslarida interfaol metodlardan foydalanish imkoniyatlari va afzalliklari xususida so`z yuritiladi. Bunda uzluksiz ta’lim tizimi xodimlari, pedagog-o‘qituvchilar tomonidan zamonaviy ta’lim texnologiyalarining mohiyatidan xabardorliklari hamda ularni ta’lim jarayonida samarali qo‘llay olishlari, shuningdek, ta’lim jarayonini tashkil etishga nisbatan ijodiy yondashuvning qaror topishi muhim ahamiyat kasb etadi.
Singularities of transient processes in dynamics and beyond
Creators: name: Gorban, Alexander N.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: This note is a brief review of the analysis of long transients in dynamical systems. The problem of long transients arose in many disciplines, from physical and chemical kinetic to biology and even social sciences. Detailed analysis of singularities of various `relaxation times' associated long transients with bifurcations of $ω$-limit sets, homoclinic structures (intersections of $α$- and $ω$-limit sets) and other peculiarities of dynamics. This review was stimulated by the analysis of anomalously long transients in ecology published recently by A. Morozov and S. Petrovskii with co-authors.
AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation
Creators: name: Müller, André
name: Schmidt, Bertil
name: Hildebrandt, Andreas
name: Membarth, Richard
name: Leißa, Roland
name: Kruse, Matthis
name: Hack, Sebastian
Publisher: name: arXiv
Year: 2020
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Performance (cs.PF)
subject: FOS: Computer and information sciences

description: Sequence alignments are fundamental to bioinformatics which has resulted in a variety of optimized implementations. Unfortunately, the vast majority of them are hand-tuned and specific to certain architectures and execution models. This not only makes them challenging to understand and extend, but also difficult to port to other platforms. We present AnySeq - a novel library for computing different types of pairwise alignments of DNA sequences. Our approach combines high performance with an intuitively understandable implementation, which is achieved through the concept of partial evaluation. Using the AnyDSL compiler framework, AnySeq enables the compilation of algorithmic variants that are highly optimized for specific usage scenarios and hardware targets with a single, uniform codebase. The resulting domain-specific library thus allows the variation of alignment parameters (such as alignment type, scoring scheme, and traceback vs.~plain score) by simple function composition rather than metaprogramming techniques which are often hard to understand. Our implementation supports multithreading and SIMD vectorization on CPUs, CUDA-enabled GPUs, and FPGAs. AnySeq is at most 7% slower and in many cases faster (up to 12%) than state-of-the art manually optimized alignment libraries on CPUs (SeqAn) and on GPUs (NVBio).
description: To be published in IPDPS 2020. This work is supported by the Federal Ministry of Education and Research (BMBF) as part of the MetaDL, Metacca, and ProThOS projects as well as by the Intel Visual Computing Institute (IVCI) and Cluster of Excellence on Multimodal Computing and Interaction (MMCI) at Saarland University
Generalized hydrodynamic limit for the box-ball system
Creators: name: Croydon, David A.
name: Sasada, Makiko
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 37B15 (primary), 82C22, 82C23, 82C70 (secondary)

description: We deduce a generalized hydrodynamic limit for the box-ball system, which explains how the densities of solitons of different sizes evolve asymptotically under Euler space-time scaling. To describe the limiting soliton flow, we introduce a continuous state-space analogue of the soliton decomposition of Ferrari, Nguyen, Rolla and Wang (cf. the original work of Takahashi and Satsuma), namely we relate the densities of solitons of given sizes in space to corresponding densities on a scale of 'effective distances', where the dynamics are linear. For smooth initial conditions, we further show that the resulting evolution of the soliton densities in space can alternatively be characterised by a partial differential equation, which naturally links the time-derivatives of the soliton densities and the 'effective speeds' of solitons locally.
End-to-end Recurrent Denoising Autoencoder Embeddings for Speaker Identification
Creators: name: Rituerto-González, Esther
name: Peláez-Moreno, Carmen
Publisher: name: arXiv
Year: 2020
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: Speech 'in-the-wild' is a handicap for speaker recognition systems due to the variability induced by real-life conditions, such as environmental noise and the emotional state of the speaker. Taking advantage of the principles of representation learning, we aim to design a recurrent denoising autoencoder that extracts robust speaker embeddings from noisy spectrograms to perform speaker identification. The end-to-end proposed architecture uses a feedback loop to encode information regarding the speaker into low-dimensional representations extracted by a spectrogram denoising autoencoder. We employ data augmentation techniques by additively corrupting clean speech with real-life environmental noise in a database containing real stressed speech. Our study presents that the joint optimization of both the denoiser and speaker identification modules outperforms independent optimization of both components under stress and noise distortions as well as hand-crafted features.
description: Published on Monday 10th of May 2021 in Neural Computing and Applications, Springer
ivis Dimensionality Reduction Framework for Biomacromolecular Simulations
Creators: name: Tian, Hao
name: Tao, Peng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: Molecular dynamics (MD) simulations have been widely applied to study macromolecules including proteins. However, high-dimensionality of the datasets produced by simulations makes it difficult for thorough analysis, and further hinders a deeper understanding of biomacromolecules. To gain more insights into the protein structure-function relations, appropriate dimensionality reduction methods are needed to project simulations onto low-dimensional spaces. Linear dimensionality reduction methods, such as principal component analysis (PCA) and time-structure based independent component analysis (t-ICA), could not preserve sufficient structural information. Though better than linear methods, nonlinear methods, such as t-distributed stochastic neighbor embedding (t-SNE), still suffer from the limitations in avoiding system noise and keeping inter-cluster relations. ivis is a novel deep learning-based dimensionality reduction method originally developed for single-cell datasets. Here we applied this framework for the study of light, oxygen and voltage (LOV) domain of diatom Phaeodactylum tricornutum aureochrome 1a (PtAu1a). Compared with other methods, ivis is shown to be superior in constructing Markov state model (MSM), preserving information of both local and global distances and maintaining similarity between high dimension and low dimension with the least information loss. Moreover, ivis framework is capable of providing new prospective for deciphering residue-level protein allostery through the feature weights in the neural network. Overall, ivis is a promising member in the analysis toolbox for proteins.
Supplementary document for Synergy of electromagnetic effects and thermophysical properties of metals in the formation of laser induced periodic surface structures - 5888247.pdf
Creators: name: Giorgos, Tsibidis
name: Lingos, Panos
name: Stratakis, Emmanuel
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: This file contains details of the multiscale physics model on which the results are based
Entanglement generation in a quantum network at distance-independent rate
Creators: name: Patil, Ashlesha
name: Pant, Mihir
name: Englund, Dirk
name: Towsley, Don
name: Guha, Saikat
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We develop a protocol for entanglement generation in the quantum internet that allows a repeater node to use $n$-qubit Greenberger-Horne-Zeilinger (GHZ) projective measurements that can fuse $n$ successfully-entangled {\em links}, i.e., two-qubit entangled Bell pairs shared across $n$ network edges, incident at that node. Implementing $n$-fusion, for $n \ge 3$, is in principle not much harder than $2$-fusions (Bell-basis measurements) in solid-state qubit memories. If we allow even $3$-fusions at the nodes, we find---by developing a connection to a modified version of the site-bond percolation problem---that despite lossy (hence probabilistic) link-level entanglement generation, and probabilistic success of the fusion measurements at nodes, one can generate entanglement between end parties Alice and Bob at a rate that stays constant as the distance between them increases. We prove that this powerful network property is not possible to attain with any quantum networking protocol built with Bell measurements and multiplexing alone. We also design a two-party quantum key distribution protocol that converts the entangled states shared between two nodes into a shared secret, at a key generation rate that is independent of the distance between the two parties.
MPEC 2024-V98 : 2024 UG21
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 UG21

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Sewer Monitoring System: A Smart IoT and Machine Learning-Based Approach
Creators: name: Yalley, Ezra
name: SINGH, RAHUL
name: SAI, B G GARGYA SAVASYA
name: DAS, ANIRBAN
Publisher: name: Zenodo
Year: 2025

description: The Sewer Monitoring System is an IoT and machine learning-based solution designed to enhance urban sewer management. It monitors key parameters such as water levels, toxic gas concentrations, temperature, and manhole lid movements using sensors and microcontrollers like Arduino Uno. Real-time data is transmitted to the cloud for analysis, enabling predictive maintenance and early issue detection. The system alerts maintenance teams via dashboards, mobile notifications, and on-site indicators like buzzers and LEDs. By integrating AI-driven predictions and IoT connectivity, this project improves public safety, reduces maintenance costs, and supports smart city initiatives for sustainable sewer infrastructure management.
Compositional modelling of network games
Creators: name: Di Lavore, Elena
name: Hedges, Jules
name: Sobociński, Paweł
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: Category Theory (math.CT)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The analysis of games played on graph-like structures is of increasing importance due to the prevalence of social networks, both virtual and physical, in our daily life. As well as being relevant in computer science, mathematical analysis and computer simulations of such distributed games are vital methodologies in economics, politics and epidemiology, amongst other fields. Our contribution is to give compositional semantics of a family of such games as a well-behaved mapping, a strict monoidal functor, from a category of open graphs (syntax) to a category of open games (semantics). As well as introducing the theoretical framework, we identify some applications of compositionality.
description: Published in CSL'21
Solution of matching equations of IDA-PBC by Pfaffian differential equations
Creators: name: Harandi, M. Reza J.
name: Taghirad, Hamid. D.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Finding the general solution of partial differential equations (PDEs) is essential for controller design in newly developed methods. Interconnection and damping assignment passivity based control (IDA-PBC) is one of such methods in which the solution to corresponding PDEs which are called matching equations, is needed to apply it in practice. In this paper, these matching equations are transformed to corresponding Pfaffian differential equations. Furthermore, it is shown that upon satisfaction of the integrability condition, the solution to the corresponding third-order Pfaffian differential equation may be obtained quite easily. The method is applied to the PDEs of IDA-PBC in some benchmark systems such as Magnetic levitation system, Pendubot, and underactuated cable driven robot to verify its applicability.
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods
Creators: name: Shateri, Mohammadhadi
name: Messina, Francisco
name: Piantanida, Pablo
name: Labeau, Fabrice
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Smart meters (SMs) can pose privacy threats for consumers, an issue that has received significant attention in recent years. This paper studies the impact of Side Information (SI) on the performance of distortion-based real-time privacy-preserving algorithms for SMs. In particular, we consider a deep adversarial learning framework, in which the desired releaser (a recurrent neural network) is trained by fighting against an adversary network until convergence. To define the loss functions, two different approaches are considered: the Causal Adversarial Learning (CAL) and the Directed Information (DI)-based learning. The main difference between these approaches is in how the privacy term is measured during the training process. On the one hand, the releaser in the CAL method, by getting supervision from the actual values of the private variables and feedback from the adversary performance, tries to minimize the adversary log-likelihood. On the other hand, the releaser in the DI approach completely relies on the feedback received from the adversary and is optimized to maximize its uncertainty. The performance of these two algorithms is evaluated empirically using real-world SMs data, considering an attacker with access to SI (e.g., the day of the week) that tries to infer the occupancy status from the released SMs data. The results show that, although they perform similarly when the attacker does not exploit the SI, in general, the CAL method is less sensitive to the inclusion of SI. However, in both cases, privacy levels are significantly affected, particularly when multiple sources of SI are included.
Stochastic quantization associated with the $\exp(Φ)_2$-quantum field model driven by space-time white noise on the torus in the full $L^1$-regime
Creators: name: Hoshino, Masato
name: Kawabi, Hiroshi
name: Kusuoka, Seiichiro
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 60J10, 60F05, 60G50, 60B10

description: The present paper is a continuation of our previous work on the stochastic quantization of the $\exp(Φ)_2$-quantum field model on the two-dimensional torus. Making use of key properties of Gaussian multiplicative chaos and refining the method for singular SPDEs introduced in the previous work, we construct a unique time-global solution to the corresponding parabolic stochastic quantization equation in the full "$L^{1}$-regime" $\vertα\vert
description: References are corrected
Transition states and entangled mass action law
Creators: name: Gorban, Alexander N.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The classical approaches to the derivation of the (generalized) Mass Action Law (MAL) assume that the intermediate transition state (i) has short life time and (ii) is in partial equilibrium with the initial reagents of the elementary reaction. The partial equilibrium assumption (ii) means that the reverse decomposition of the intermediates is much faster than its transition through other channels to the products. In this work we demonstrate how avoiding this partial equilibrium assumption modifies the reaction rates. This kinetic revision of transition state theory results in an effective `entanglement' of reaction rates, which become linear combinations of different MAL expressions.
description: Significantly extended version with more explanation, illustrations, and references
The truncated Hamburger moment problems with gaps in the index set
Creators: name: Zalar, Aljaž
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: Primary 47A57, 47A20, 44A60, Secondary 15A04, 47N40

description: In this article we solve four special cases of the truncated Hamburger moment problem (THMP) of degree $2k$ with one or two missing moments in the sequence. As corollaries we obtain, by using appropriate substitutions, the solutions to bivariate truncated moment problems of degree $2k$ for special curves. Namely, for the curves $y=x^3$ (first solved by Fialkow), $y^2=x^3$, $y=x^4$ where a certain moment of degree $2k+1$ is known and $y^3=x^4$ with a certain moment given. The main technique is the completion of the partial positive semidefinite matrix (ppsd) such that the conditions of Curto and Fialkow's solution of the THMP are satisfied. The main tools are the use of the properties of positive semidefinite Hankel matrices and a result on all completions of a ppsd matrix with one unknown entry, proved by the use of the Schur complements for $2\times 2$ and $3\times 3$ block matrices.
description: 32 pages
Crystal and Electronic Structure of GaTa$_4$Se$_8$ From First-Principle Calculations
Creators: name: Zhang, Shuai
name: Zhang, Tiantian
name: Deng, Hongshan
name: Ding, Yang
name: Chen, Yue
name: Weng, Hongming
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: GaTa$_4$Se$_8$ belongs to the lacunar spinel family. Its crystal structures is still a puzzle though there have been intensive studies on its novel properties, such as the Mott insulator phase and superconductivity under pressure. In this work, we investigate its phonon spectra through first-principle calculations and proposed it most probably has crystal structure phase transition, which is consistent with several experimental observations. For the prototype lacunar spinel with cubic symmetry of space group $F\bar{4}3m$, its phonon spectra have three soft modes in the whole Brillouin zone, indicating the strong dynamical instability of such crystal structure. In order to find the dynamically stable crystal structure, further calculations indicate two new structures of GaTa$_4$Se$_8$, corresponding to $R3m$ and $P\bar{4}2_{1}m$, verifying that at the ambient pressure, there does exist structure phase transition of GaTa$_4$Se$_8$ from $F\bar{4}3m$ to other structures when the temperature is lowered. We also performed electronic structure calculation for $R3m$ and $P\bar{4}2_{1}m$ structure, showing that $P\bar{4}2_{1}m$ structure GaTa$_4$Se$_8$ is band insulator, and obtained Mott insulator state for $R3m$ structure by DMFT calculation under single-band Hubbard model picture when interaction parameter U is larger than 0.40 eV vs. band width of 0.25 eV. It is reasonable to assume that while lowering the temperature, $F\bar{4}3m$ structure GaTa$_4$Se$_8$ becomes $R3m$ structure GaTa$_4$Se$_8$ first, then $P\bar{4}2_{1}m$ structure GaTa$_4$Se$_8$, because of the symmetry of $P\bar{4}2_{1}m$ is lower than $R3m$ after Jahn-Teller distortion. The structure transition may explain the magnetic susceptibility anomalous at low temperature.
Local preservation of no-signaling in multiparty PT-symmetric evolutions
Creators: name: Kumari, Asmita
name: Sen, Ujjwal
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Violation of the no-signaling principle may occur in PT-symmetric evolutions, that is, evolutions that stem from Hamiltonians that are symmetric with respect to parity and time-reversal, of bipartite entangled states. The violation can be avoided by using a non-conventional inner product. We show that even within the formalism that utilizes the conventional Dirac inner product between physical state vectors, it is possible to obtain instances of local preservation of the no-signaling principle for evolutions corresponding to PT-symmetric non-hermitian Hamiltonians with real eigenvalues, of multiparty entangled states, whose bipartite versions still violate the principle. The phenomenon can be witnessed already by using the Greenberger-Horne-Zeilinger state. Interestingly, the generalized W states do not support such a local preservation of no-signaling.
description: v2: 8 pages, 2 figures. another example included
Counting equilibria of large complex systems by instability index
Creators: name: Arous, Gérard Ben
name: Fyodorov, Yan V
name: Khoruzhenko, Boris A
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mathematical Physics (math-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences

description: We consider a nonlinear autonomous system of $N\gg 1$ degrees of freedom randomly coupled by both relaxational ('gradient') and non-relaxational ('solenoidal') random interactions. We show that with increased interaction strength such systems generically undergo an abrupt transition from a trivial phase portrait with a single stable equilibrium into a topologically non-trivial regime of 'absolute instability' where equilibria are on average exponentially abundant, but typically all of them are unstable, unless the dynamics is purely gradient. When interactions increase even further the stable equilibria eventually become on average exponentially abundant unless the interaction is purely solenoidal. We further calculate the mean proportion of equilibria which have a fixed fraction of unstable directions.
description: Main paper - 7 pages, Supplementary Information - 20 pages. Revised version - minor changes, including adding short discussion of model assumptions
Differentially Private Accelerated Optimization Algorithms
Creators: name: Kuru, Nurdan
name: Birbil, Ş. İlker
name: Gurbuzbalaban, Mert
name: Yildirim, Sinan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Optimization and Control (math.OC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 68P27, 90C30, 90C25

description: We present two classes of differentially private optimization algorithms derived from the well-known accelerated first-order methods. The first algorithm is inspired by Polyak's heavy ball method and employs a smoothing approach to decrease the accumulated noise on the gradient steps required for differential privacy. The second class of algorithms are based on Nesterov's accelerated gradient method and its recent multi-stage variant. We propose a noise dividing mechanism for the iterations of Nesterov's method in order to improve the error behavior of the algorithm. The convergence rate analyses are provided for both the heavy ball and the Nesterov's accelerated gradient method with the help of the dynamical system analysis techniques. Finally, we conclude with our numerical experiments showing that the presented algorithms have advantages over the well-known differentially private algorithms.
description: 28 pages, 4 figures
The kernel of newform Dedekind sums
Creators: name: Nguyen, Evuilynn
name: Ramirez, Juan J.
name: Young, Matthew P.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11F20

description: Newform Dedekind sums are a class of crossed homomorphisms that arise from newform Eisenstein series. We initiate a study of the kernel of these newform Dedekind sums. Our results can be loosely described as showing that these kernels are neither "too big" nor "too small." We conclude with an observation about the Galois action on Dedekind sums that allows for significant computational efficiency in the numerical calculation of Dedekind sums.
description: 8+epsilon pages, 2 figures
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods
Creators: name: Rybnikova, N.
name: Portnov, B. A.
name: Mirkes, E. M.
name: Zinovyev, A.
name: Brook, A.
name: Gorban, A. N.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Artificial light-at-night (ALAN), emitted from the ground and visible from space, marks human presence on Earth. Since the launch of the Suomi National Polar Partnership satellite with the Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS/DNB) onboard, global nighttime images have significantly improved; however, they remained panchromatic. Although multispectral images are also available, they are either commercial or free of charge, but sporadic. In this paper, we use several machine learning techniques, such as linear, kernel, random forest regressions, and elastic map approach, to transform panchromatic VIIRS/DBN into Red Green Blue (RGB) images. To validate the proposed approach, we analyze RGB images for eight urban areas worldwide. We link RGB values, obtained from ISS photographs, to panchromatic ALAN intensities, their pixel-wise differences, and several land-use type proxies. Each dataset is used for model training, while other datasets are used for the model validation. The analysis shows that model-estimated RGB images demonstrate a high degree of correspondence with the original RGB images from the ISS database. Yet, estimates, based on linear, kernel and random forest regressions, provide better correlations, contrast similarity and lower WMSEs levels, while RGB images, generated using elastic map approach, provide higher consistency of predictions.
title: The actual surface state of optics surfaces
Creators: name: Gerhard, Christoph
name: Köhler, Robert
name: Hermann, J.
Publisher: name: TU Clausthal
Year: 2025
Subjects: subject: 620

description: The surfaces of precision optics components made of glass such as lenses or prisms are commonly supposed to be of high purity and cleanliness. However, several effects and mechanisms may lead to contamination and modification of glass surfaces produced by conventional manufacturing, i.e., cutting, grinding, lapping, and polishing. Apart from mechanical impact such as compression and the generation of micro cracks and subsurface damages, a change in chemical composition may occur. This includes the dissolving and removal of essential components from the glass matrix via leaching or the adhesion and implantation of foreign matter originating from the used tools and applied operation materials and media via diffusion. Finally, the growth of hydrated silica might contribute to near-surface contamination by accumulating embedded impurities. In this contribution, such mechanisms are introduced. Moreover, the potentially resulting change in surface composition measured via spectroscopic techniques as well as its impact on optical properties and performance of precision optics components is discussed.
description: Tagungsband 6. Symposium Materialtechnik: 20. bis 21. Februar 2025
title: Optimization of the melting behaviour of filling-alloyed, high-chromium cored wires in GMAW
Creators: name: Höfer, Kevin
name: Hensel, Jonas
Publisher: name: TU Clausthal
Year: 2025
Subjects: subject: 620

description: The alloy composition of filling-alloyed flux-cored wires is achieved by adjusting the filling components while keeping the wire tube material constant. The advantage of this type of flux-cored wire is the more economical and flexible manufacturing process. A disadvantage is that due to the high alloy concentrations in the filling, micro-scale segregation can occur in the melt pool. The reason for this is the separate melting of the wire sheath and the filling, which is typical for flux-cored wires. As a result, the melting of the filling is often incomplete, so that solid particles are transferred into the melt pool and precipitate as micro-segregations occur. Within this work, it was investigated whether, and to what extent, the melting behaviour of filling-alloyed flux-cored wires can be influenced by the targeted adaptation of the wire temperature. For this purpose, different methods to influence the wire temperature were developed. The methods were validated on the one hand by analysing the melting process using high-speed images. On the other hand, individual droplets of the melted filler material were separated and evaluated metallographically. Overall, it was found that the micro-segregations in the weld metal could be reduced up to 84 % with increasing wire temperature.
description: Tagungsband 6. Symposium Materialtechnik: 20. bis 21. Februar 2025
Logarithmic entanglement growth from disorder-free localization in the two-leg compass ladder
Creators: name: Hart, Oliver
name: Gopalakrishnan, Sarang
name: Castelnovo, Claudio
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We explore the finite-temperature dynamics of the quasi-1D orbital compass and plaquette Ising models. We map these systems onto a model of free fermions coupled to strictly localized spin-1/2 degrees of freedom. At finite temperature, the localized degrees of freedom act as emergent disorder and localize the fermions. Although the model can be analyzed using free-fermion techniques, it has dynamical signatures in common with typical many-body localized systems: Starting from generic initial states, entanglement grows logarithmically; in addition, equilibrium dynamical correlation functions decay with an exponent that varies continuously with temperature and model parameters. These quasi-1D models offer an experimentally realizable setting in which natural dynamical probes show signatures of disorder-free many-body localization.
description: 5+7 pages, 3+8 figures; v2 is published version
Comparison of thermodynamic behaviors of two regular-AdS black holes
Creators: name: Guo, Sen
name: Huang, Ya-Ling
name: Liang, En-Wei
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Considering the negative cosmological constant of an anti-de Sitter (AdS) background as a positive thermodynamic pressure in the extended phase space, we study the thermodynamic behaviors of the regular Hayward-AdS (HAdS) black hole (BH) by investigating $P-\upsilon$ critical and cooling-heating phase transition. We compare the difference of two thermodynamic processes between the HAdS BH and the Bardeen-AdS (BAdS) BH. It is found that the phase transition of the BAdS BH tends to be more the van der Waals (vdW) phase transition. For the cooling-heating phase transition, we find the inversion curves of the HAdS BH are always higher than the BAdS BH under the same pressure and magnetic charge. We also compare the smallest existence mass, the zero-temperature remnant, and the critical magnetic charge. The results suggest that the inner horizon and the outer horizon of the Hayward BH are easier to merge, and the singularity is easier to expose.
description: 11 pages, 5 figures
Linearly Convergent Gradient-Free Methods for Minimization of Parabolic Approximation
Creators: name: Bazarova, Aleksandra
name: Beznosikov, Aleksandr
name: Gasnikov, Alexander
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Finding the global minimum of non-convex functions is one of the main and most difficult problems in modern optimization. In the first part of the paper, we consider a certain class of "good" non-convex functions that can be bounded above and below by a parabolic function. We show that using only the zeroth-order oracle, one can obtain the linear speed $\log \left(\frac{1}{\varepsilon}\right)$ of finding the global minimum on a cube. The second part of the paper looks at the nonconvex problem in a slightly different way. We assume that minimizing the quadratic function, but at the same time we have access to a zeroth-order oracle with noise and this noise is proportional to the distance to the solution. Dealing with such noise assumptions for gradient-free methods is new in the literature. We show that here it is also possible to achieve the linear rate of convergence.
Les Nouveaux facteurs de la Résilience Organisationnelle dans l'Entrepreneuriat Marocain Contemporain
Creators: name: ACHIR, Chaimaa
name: RAFILI, Maria
name: DOUARI, Aziz
name: IDRISSI, Khadija
Publisher: name: Zenodo
Year: 2024
Subjects: « Résilience » ; « facteurs clés » ; « Entreprenariat » ; « PME » ; « Maroc ».

description: Les TPME représentent plus de 93% du tissu économique national au Maroc et sont cruciales pour la croissance économique et sociale du pays. Dans le contexte actuel connu par des risques économiques accrus, il devient impératif que ces entreprises soient résilientes afin d’assurer leur pérennité. Cet article se penche sur les nouveaux facteurs de résilience organisationnelle des PME au Maroc, cherchant à déceler les facteurs clés de leur capacité à vaincre les défis.

Pour ce dessein, nous avons interrogé dix entrepreneurs marocains, cherchant à comprendre la contribution de quatre facteurs spécifiques à la résilience de leurs entreprises, et ce en adoptant une approche méthodologique qualitative. Ces facteurs comprennent le digital et les réseaux sociaux, le networking et les partenariats, les compétences émotionnelles et cognitives de l'entrepreneur, ainsi que les organismes et programmes d’accompagnement.

En dévoilant les expériences et les pratiques de ces entrepreneurs, cet article aspire à contribuer à une meilleure compréhension des dynamiques de résilience dans le contexte spécifique des PME au Maroc.
Supplementary document for Synergy of electromagnetic effects and thermophysical properties of metals in the formation of laser induced periodic surface structures - 5888247.pdf
Creators: name: Giorgos, Tsibidis
name: Lingos, Panos
name: Stratakis, Emmanuel
Publisher: name: Optica Publishing Group
Year: 2022
Subjects: Uncategorized

description: This file contains details of the multiscale physics model on which the results are based
Couplings for Andersen Dynamics
Creators: name: Bou-Rabee, Nawaf
name: Eberle, Andreas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Chemical Physics (physics.chem-ph)
subject: Computational Physics (physics.comp-ph)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: 60J25 (Primary) 65C05 (Secondary)

description: Andersen dynamics is a standard method for molecular simulations, and a precursor of the Hamiltonian Monte Carlo algorithm used in MCMC inference. The stochastic process corresponding to Andersen dynamics is a PDMP (piecewise deterministic Markov process) that iterates between Hamiltonian flows and velocity randomizations of randomly selected particles. Both from the viewpoint of molecular dynamics and MCMC inference, a basic question is to understand the convergence to equilibrium of this PDMP particularly in high dimension. Here we present couplings to obtain sharp convergence bounds in the Wasserstein sense that do not require global convexity of the underlying potential energy.
description: 36 pages, 8 figures