cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation
Creators: name: Mandal, Bishwas
name: Amariucai, George
name: Wei, Shuangqing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: We propose an adversarial learning framework that deals with the privacy-utility tradeoff problem under two types of conditions: data-type ignorant, and data-type aware. Under data-type aware conditions, the privacy mechanism provides a one-hot encoding of categorical features, representing exactly one class, while under data-type ignorant conditions the categorical variables are represented by a collection of scores, one for each class. We use a neural network architecture consisting of a generator and a discriminator, where the generator consists of an encoder-decoder pair, and the discriminator consists of an adversary and a utility provider. Unlike previous research considering this kind of architecture, which leverages autoencoders (AEs) without introducing any randomness, or variational autoencoders (VAEs) based on learning latent representations which are then forced into a Gaussian assumption, our proposed technique introduces randomness and removes the Gaussian assumption restriction on the latent variables, only focusing on the end-to-end stochastic mapping of the input to privatized data. We test our framework on different datasets: MNIST, FashionMNIST, UCI Adult, and US Census Demographic Data, providing a wide range of possible private and utility attributes. We use multiple adversaries simultaneously to test our privacy mechanism -- some trained from the ground truth data and some trained from the perturbed data generated by our privacy mechanism. Through comparative analysis, our results demonstrate better privacy and utility guarantees than the existing works under similar, data-type ignorant conditions, even when the latter are considered under their original restrictive single-adversary model.
description: Paper accepted at the 2022 IEEE International Joint Conference on Neural Networks (IJCNN)
Lévy flights with power-law absorption
Creators: name: Cattivelli, Luca
name: Agliari, Elena
name: Sartori, Fabio
name: Cassi, Davide
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We consider a particle performing a stochastic motion on a one-dimensional lattice with jump widths distributed according to a power-law with exponent $μ+ 1$. Assuming that the walker moves in the presence of a distribution $a(x)$ of targets (traps) depending on the spatial coordinate $x$, we study the probability that the walker will eventually find any target (will eventually be trapped). We focus on the case of power-law distributions $a(x) \sim x^{-α}$ and we find that as long as $μ< α$ there is a finite probability that the walker will never be trapped, no matter how long the process is. This analytical result, valid on infinite chains, is corroborated by numerical simulations which also evidence the emergence of slow searching (trapping) times in finite-size system. The extension of this finding to higher-dimensional structures is also discussed.
description: Accepted for publication in the Physical Review E
Angular Control Charts: A New Perspective for Monitoring Reliability of Multi-State Systems
Creators: name: Janada, Khaled
name: Soltan, Hassan
name: Hussein, Mohamed-Sobeih
name: Abdel-Shafi, Ahmad
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applications (stat.AP)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Control charts, as had been used traditionally for quality monitoring, were applied alternatively to monitor systems' reliability. In other words, they can be applied to detect changes in the failure behavior of systems. Such purpose imposed modifying traditional control charts in addition to developing charts that are more compatible with reliability monitoring. The latter developed category is known as probability limits control charts. The existing reliability monitoring control charts were only dedicated to binary-state systems, and they can't be used to monitor several states simultaneously. Therefore, this paper develops a design of control charts that accommodates multi-state systems, called here as the Angular Control Chart, which represents a new version of the probability limits control charts. This design is able to monitor state transitions simultaneously and individually in addition. Illustrative system examples are implemented to explore the monitoring procedure of the new design and to demonstrate its efficiency, effectiveness, and limitations.
description: 18 pages; 13 figures
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Creators: name: Fu, Yiwei
name: Xue, Feng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: In this paper, we introduce Masked Anomaly Detection (MAD), a general self-supervised learning task for multivariate time series anomaly detection. With the increasing availability of sensor data from industrial systems, being able to detecting anomalies from streams of multivariate time series data is of significant importance. Given the scarcity of anomalies in real-world applications, the majority of literature has been focusing on modeling normality. The learned normal representations can empower anomaly detection as the model has learned to capture certain key underlying data regularities. A typical formulation is to learn a predictive model, i.e., use a window of time series data to predict future data values. In this paper, we propose an alternative self-supervised learning task. By randomly masking a portion of the inputs and training a model to estimate them using the remaining ones, MAD is an improvement over the traditional left-to-right next step prediction (NSP) task. Our experimental results demonstrate that MAD can achieve better anomaly detection rates over traditional NSP approaches when using exactly the same neural network (NN) base models, and can be modified to run as fast as NSP models during test time on the same hardware, thus making it an ideal upgrade for many existing NSP-based NN anomaly detection models.
description: Accepted by the 2022 International Joint Conference on Neural Networks (IJCNN 2022)
Vortex String Formation in Black Hole Superradiance of a Dark Photon with the Higgs Mechanism
Creators: name: East, William E.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Black hole superradiance, which only relies on gravitational interactions, can provide a powerful probe of the existence of ultralight bosons that are weakly coupled to ordinary matter. However, as a boson cloud grows through superradiance, nonlinear effects from interactions with itself or other fields may become important. As a representative example of this, we use nonlinear evolutions to study black hole superradiance of a vector boson that attains a mass, via a coupling to a complex scalar, through the Higgs mechanism. For the cases considered, we find that the superradiant instability can lead to a transient period where the scalar field reaches its symmetry restoration value, leading to the formation of closed vortex strings, the temporary disruption of the exponential growth of the cloud, and an explosive outburst of energy. After the cloud loses sufficient mass, the superradiant growth resumes, and the cycle repeats. Thus, the black hole will be spun down but, potentially, at a much lower rate compared to when nonlinear effects are unimportant, and with the liberated energy going primarily into bosonic radiation instead of gravitational waves.
description: 8 pages, 5 figures; revised to match PRL accepted version, including some improved figures
C-sanitized: a privacy model for document redaction and sanitization
Creators: name: Sanchez, David
name: Batet, Montserrat
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Within the current context of Information Societies, large amounts of information are daily exchanged and/or released. The sensitive nature of much of this information causes a serious privacy threat when documents are uncontrollably made available to untrusted third parties. In such cases, appropriate data protection measures should be undertaken by the responsible organization, especially under the umbrella of current legislations on data privacy. To do so, human experts are usually requested to redact or sanitize document contents. To relieve this burdensome task, this paper presents a privacy model for document redaction/sanitization, which offers several advantages over other models available in the literature. Based on the well-established foundations of data semantics and the information theory, our model provides a framework to develop and implement automated and inherently semantic redaction/sanitization tools. Moreover, contrary to ad-hoc redaction methods, our proposal provides a priori privacy guarantees which can be intuitively defined according to current legislations on data privacy. Empirical tests performed within the context of several use cases illustrate the applicability of our model and its ability to mimic the reasoning of human sanitizers.
description: in Journal of the Association for Information Science and Technology, 2015
Decision making in school psychology: implications for training
Creators: name: Siegel, Dina
Publisher: name: No Publisher Supplied
Year: 2020

description: Although scholars have suggested that cognitive errors may plague school psychologists’ decisions, there is little research documenting these effects or the extent to which school psychologists are trained to spot these biases. I conducted a study using experimental vignette methodology (EVM) in conjunction with a survey of knowledge, attitudes, and training in clinical judgment heuristics and biases. Different versions of a vignette formed a 2 (referral concern) x 2 (assessment scores) between subjects design, and participants were randomly assigned to one of the cells of the design. Participants were recruited from NASP-approved, APA-accredited, and/or locally accredited school psychology programs. Although 310 participants provided informed consent for the survey, 175 were included for analysis in the final sample, as only they indicated they were enrolled in a school psychology program. The first goal of the study was to determine school psychology trainees’ knowledge, attitudes, and training related to topics in clinical judgment. The second goal of the study was to assess whether trainees exhibit judgmental biases when identifying Specific Learning Disabilities (SLD). I hypothesized that trainees would have received minimal formal training in limitations of clinical judgment, and they would demonstrate bias in classifying SLD based on the framing of the referral concern (i.e., whether or not the referral mentioned SLD). Results indicated that most participants reported having training in at least one area of clinical judgment and demonstrated some knowledge of clinical judgment. Overall attitudes toward understanding clinical judgment limitations within school psychology were positive (M = 1.78, SD = .40). There was a significant main effect of assessment score discrepancy on SLD classification, F (1, 171) = 4.43, p = .037, meaning that participants based their classification decision, at least in part, on the assessment scores. Partial eta squared = .025. There was a non-significant main effect of referral concern on SLD classification, F (1, 171) = 0.009, p > .05, meaning that participants were not biased by the framing of the referral concern. The interaction effect was also non-significant, F (1,171) = 0.271, p > .05. Limitations and implications for future training of school psychologists are discussed.
Dynamics of two central spins immersed in spin baths
Creators: name: Tiwari, Devvrat
name: Datta, Shounak
name: Bhattacharya, Samyadeb
name: Banerjee, Subhashish
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: In this article we derive the exact dynamics of a two qubit (spin 1/2) system interacting centrally with separate fermionic baths composed of qubits in thermal state. Further, each spin of a bath is coupled to every other spin of the same bath. The corresponding dynamical map is constructed. It is used to analyse the non-Markovian nature of the two qubit central spin dynamics. We further observe the evolution of quantum correlations like entanglement and discord under the influence of the environmental interaction. Moreover, we demonstrate the comparison between this exact two qubit dynamics and the locally acting fermionic central spin model. This work is a stepping stone towards the realization of non-Markovian heat engines and other quantum thermal devices.
description: 14 pages, 4 figures
SiPM and PMT Driving, Signals Count and Peak Detection Circuits, suitable for Particle Detection
Creators: name: Raki, Gholamreza Fardipour
name: Gol, Maryam Ghahremani
name: Sahraei, Mohammad
name: Khakzad, Mohsen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The signals received from the optical receivers like as SiPM and PMT due to the collision of energetic particles with the scintillators attached to these optical receivers, are weak and fast. To measure the number of signals as well as their peak height with electronic circuits, it is necessary to optimize the signals. An example of SiPM driver circuit, signal counting and peak measurement is presented in this text. Also, the electronic circuits necessary to optimize the signals, including amplification, elimination of background noise, conversion of signal to digital and increase of signal duration are presented in this text. At the end, two examples of test results are provided to confirm the correct operation of the circuits. Such a system has several advantages. This set has a small volume and is easily portable. Its operating voltage is 12 volts and with a current of about 0.3 amps, as a result of which it is possible to use this set in any test easily. In addition, the cost of building such a system is much less than providing similar ready-made systems. Therefore, it seems that the use of all or part of these circuits can be useful for researchers. This text, while providing a special method for optimizing the signals, provides the reader with a coherent and complete method of constructing and testing circuits, and if the reader is familiar with the basics of electronics and detectors, he or she can reconstruct the circuits without any problems. Therefore, parts of this text may have an educational and review form. It seems that without these sections, the right to read will not be fulfilled.
description: 23 pages, 34 figures
Hilbert-type operators acting between weighted Fock spaces
Creators: name: Jin, Jianjun
name: Tang, Shuan
name: Feng, Xiaogao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Functional Analysis (math.FA)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 47B35, 30H20

description: In this paper we introduce and study several new Hilbert-type operators acting between the weighted Fock spaces. We provide some sufficient and necessary conditions for the boundedness and compactness of certain Hilbert-type operators from one weighted Fock space to another.
Strong Converse Theorems for Classes of Multimessage Multicast Networks: A Rényi Divergence Approach
Creators: name: Fong, Silas L.
name: Tan, Vincent Y. F.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: This paper establishes that the strong converse holds for some classes of discrete memoryless multimessage multicast networks (DM-MMNs) whose corresponding cut-set bounds are tight, i.e., coincide with the set of achievable rate tuples. The strong converse for these classes of DM-MMNs implies that all sequences of codes with rate tuples belonging to the exterior of the cut-set bound have average error probabilities that necessarily tend to one (and are not simply bounded away from zero). Examples in the classes of DM-MMNs include wireless erasure networks, DM-MMNs consisting of independent discrete memoryless channels (DMCs) as well as single-destination DM-MMNs consisting of independent DMCs with destination feedback. Our elementary proof technique leverages properties of the Rényi divergence.
description: Submitted to IEEE Transactions on Information Theory, Jul 18, 2014. Revised on Jul 31, 2015
D2.1 Vision, State of the Art and Requirements Analysis
Creators: name: Striccoli Domenico
Publisher: name: Zenodo
Year: 2019

description: The main objectives of this deliverable are (i) to describe the project vision, the applicability scenarios, and demonstration use cases; (ii) to perform an analysis of the State of the Art and current market solutions; (iii) to identify and describe the technical and architectural requirements of the GUARD framework.
description: Relevant WP: WP2 System Architecture and Continuous Integration
Nearby states in non-Hermitian quantum systems
Creators: name: Eleuch, Hichem
name: Rotter, Ingrid
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In part I, the formalism for the description of open quantum systems (that are embedded into a common well-defined environment) by means of a non-Hermitian Hamilton operator $\ch$ is sketched. Eigenvalues and eigenfunctions are parametrically controlled. Using a 2$\times$2 model, we study the eigenfunctions of $\ch$ at and near to the singular exceptional points (EPs) at which two eigenvalues coalesce and the corresponding eigenfunctions differ from one another by only a phase. In part II, we provide the results of an analytical study for the eigenvalues of three crossing states. These crossing points are of measure zero. Then we show numerical results for the influence of a nearby ("third") state onto an EP. Since the wavefunctions of the two crossing states are mixed in a finite parameter range around an EP, three states of a physical system will never cross in one point. Instead, the wavefunctions of all three states are mixed in a finite parameter range in which the ranges of the influence of different EPs overlap. We may relate these results to dynamical phase transitions observed recently in different experimental studies. The states on both sides of the phase transition are non-analytically connected.
description: Change of the title; Partition into two parts; Published in Eur. Phys. J. D 69, 229 (2015) and D 69, 230 (2015)
Hidden Frustrated Interactions and Quantum Annealing in Trapped Ion Spin-Phonon Chains
Creators: name: Nevado, Pedro
name: Porras, Diego
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We show that a trapped ion chain interacting with an optical spin-dependent force shows strong frustration effects due to the interplay between long-range interactions and the dressing by optical phases. We consider a strong spin-phonon coupling regime and predict a quantum phase diagram with different competing magnetic and structural orders. In a highly frustrated region, the system shows enhanced quantum fluctuations and entanglement characteristic of spin-liquid phases. We propose and describe within a mean-field approach a quantum annealing process to induce a quasi-adiabatic evolution towards the ground state.
Gyrohydrodynamics: Relativistic spinful fluid with strong vorticity
Creators: name: Cao, Zheng
name: Hattori, Koichi
name: Hongo, Masaru
name: Huang, Xu-Guang
name: Taya, Hidetoshi
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We develop a relativistic (quasi-)hydrodynamic framework, dubbed the gyrohydrodynamics, to describe fluid dynamics of many-body systems with spin under strong vorticity based on entropy-current analysis. This framework generalizes the recently-developed spin hydrodynamics to the regime where the spin density is at the leading order in derivatives but suppressed by another small parameter, the Planck constant $\hbar$, due to its quantum nature. Our analysis shows that the complete first-order constitutive relations of gyrohydrodynamics involve seventeen transport coefficients and are highly anisotropic.
title: Per una nuova edizione critica delle Antiquitates rerum humanarum di Varrone
Creators: name: Lucarini, Carlo M.
Publisher: name: Hyperboreus 29: 1 (2023) 78–108
Year: 2023

description: The aim of this paper is to support my reconstruction of the Antiquitates rerum humanarum of Varro offered in the forthcoming Teubner edition, Geographi veteres vel minores vel quorum fragmenta exstant. The last edition of this work was published by P. Mirsch in 1882 and was affected by several misconceptions and omissions. One of my efforts is to show that Censorinus’ De die natali is an invaluable aid in reconstructing the structure of the books 14–19 of the Antiquitates rer. hum., since Censorinus structured the last part of his work on Varro’s model. Also the dependence on Varro of Plinius’s Nat. hist. (especially in the geographical books) and of Dionysius’ Antiquitates Romanae is studied.
description: В статье излагаются принципы реконструкции Antiquitates rerum huma­narum Варрона в тойбнеровском издании Geographi veteres vel minores vel quorum fragmenta exstant, которое автор готовит к печати. Предыдущее ­издание этого произведения (P. Mirsch, 1882) содержит некоторые ошибки и упущения. Одна из задач настоящего исследования – показать, что существенную помощь в реконструкции книг 14–19 Antiquitates rer. hum. может оказать Цензорин, который строил заключительную часть своего труда De die natali по модели Варрона. Исследуется также зависимость от Вар­рона Естественной истории Плиния и Римских древностей Дионисия ­Галикарнасского.
Generalized Fibonacci and Lucas cubes arising from powers of paths and cycles
Creators: name: Codara, Pietro
name: D'Antona, Ottavio M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Discrete Mathematics (cs.DM)
subject: Combinatorics (math.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 11B39, 05C38

description: The paper deals with some generalizations of Fibonacci and Lucas sequences, arising from powers of paths and cycles, respectively. In the first part of the work we provide a formula for the number of edges of the Hasse diagram of the independent sets of the h-th power of a path ordered by inclusion. For h=1 such a diagram is called a Fibonacci cube, and for h>1 we obtain a generalization of the Fibonacci cube. Consequently, we derive a generalized notion of Fibonacci sequence, called h-Fibonacci sequence. Then, we show that the number of edges of a generalized Fibonacci cube is obtained by convolution of an h-Fibonacci sequence with itself. In the second part we consider the case of cycles. We evaluate the number of edges of the Hasse diagram of the independent sets of the hth power of a cycle ordered by inclusion. For h=1 such a diagram is called Lucas cube, and for h>1 we obtain a generalization of the Lucas cube. We derive then a generalized version of the Lucas sequence, called h-Lucas sequence. Finally, we show that the number of edges of a generalized Lucas cube is obtained by an appropriate convolution of an h-Fibonacci sequence with an h-Lucas sequence.
description: 19 pages. arXiv admin note: substantial text overlap with arXiv:1210.5561
Mass distribution of AGB progenitors of Ba and CEMP-s stars
Creators: name: Goswami, Partha Pratim
name: Goswami, Aruna
Publisher: name: Zenodo
Year: 2022

description: We have performed detailed high-resolution spectroscopic analysis on seven metal-poor stars (BD+75 348, BD+09 3019, HD238020, HE0319-0215, HE0507-1653, HE0930-0018, HE1023-1504) and derived their atmospheric parameters Teff, logg, [Fe/H], and mictroturbulent velocity (ξ). The metallicity range is found to be -2.57 < [Fe/H] < -0.42. The elemental abundances of 17 light elements and 12 heavy elements are estimated. We have classified BD+75 348 and BD+09 3019 as strong Ba stars, HD238020 as a mild Ba star, and the remaining four objects as CEMP-s stars. We have estimated the masses of the stars from Hertzsprung-Russel (HR) diagram, and, compiling the data of 205 Ba stars from literature, estimated the mass distribution of Ba stars. We have also estimated the initial masses of the companion AGBs of the program stars as well as the masses of the companion AGBs of 159 Ba and 36 CEMP-s stars from literature, with the help of a parametric-model-based analysis using FRUITY models. While the primary mass distribution of mild Ba stars peaks at 3.7 Msun, for the strong Ba stars the peak appears at 2.5 Msun. We, therefore, propose that the initial masses of the progenitor AGBs dominantly control the formation of mild and strong Ba stars. However, a clear overlap, in the range 1.3 - 4.0 Msun, noticed between the progenitor masses of both the subclasses of Ba stars, may indicate that other factors, such as metallicities and the orbital periods, may also have significant contributions. The progenitor AGBs’ mass distribution of CEMP-s stars is found to peak at 2.03 Msun.
Radiative corrections to $M_h$ from three generations of Majorana neutrinos and sneutrinos
Creators: name: Heinemeyer, S.
name: Hernandez-Garcia, J.
name: Herrero, M. J.
name: Marcano, X.
name: Rodriguez-Sanchez, A. M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this work we study the radiative corrections to the mass of the lightest Higgs boson of the MSSM from three generations of Majorana neutrinos and sneutrinos. The spectrum of the MSSM is augmented by three right handed neutrinos and their supersymmetric partners. A seesaw mechanism of type I is used to generate the physical neutrino masses and oscillations that we require to be in agreement with present neutrino data. We present a full one-loop computation of these Higgs mass corrections, and analyze in full detail their numerical size in terms of both the MSSM and the new (s)neutrino parameters. A critical discussion on the different possible renormalization schemes and their implications is included.
description: 42 pages, 39 figures, 1 appendix, version published in AHEP
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
Creators: name: Rossi, Dario
name: Zhang, Liang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The tremendous achievements of Artificial Intelligence (AI) in computer vision, natural language processing, games and robotics, has extended the reach of the AI hype to other fields: in telecommunication networks, the long term vision is to let AI fully manage, and autonomously drive, all aspects of network operation. In this industry vision paper, we discuss challenges and opportunities of Autonomous Driving Network (ADN) driven by AI technologies. To understand how AI can be successfully landed in current and future networks, we start by outlining challenges that are specific to the networking domain, putting them in perspective with advances that AI has achieved in other fields. We then present a system view, clarifying how AI can be fitted in the network architecture. We finally discuss current achievements as well as future promises of AI in networks, mentioning a roadmap to avoid bumps in the road that leads to true large-scale deployment of AI technologies in networks.
A Multitrace Approach to Noncommutative Φ_2^4
Creators: name: Ydri, Badis
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this article we provide a multitrace analysis of the theory of noncommutative $Φ^4$ in two dimensions on the fuzzy sphere ${\bf S}^2_{N,Ω}$, and on the Moyal-Weyl plane ${\bf R}^{2}_{θ, Ω}$, with a non-zero harmonic oscillator term added. The doubletrace matrix model symmetric under $M\longrightarrow -M$ is solved in closed form. An analytical prediction for the disordered-to-non-uniform-ordered phase transition and an estimation of the triple point, from the termination point of the critical boundary, are derived and compared with previous Monte Carlo measurement.
description: v1:21 pages. v2:30 pages, 4 figures (9 graphs) and references added. In this version we have added two full-blown sections on Monte Carlo results and the non-perturbative multitrace effective potential which strengthen our original findings and give more substance to the paper
No evidence that the majority of black holes in binaries have zero spin
Creators: name: Callister, Thomas A.
name: Miller, Simona J.
name: Chatziioannou, Katerina
name: Farr, Will M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The spin properties of merging black holes observed with gravitational waves can offer novel information about the origin of these systems. The magnitude and orientations of black hole spins offer a record of binaries' evolutionary history, encoding information about massive stellar evolution and the astrophysical environments in which binary black holes are assembled. Recent analyses of the binary black hole population have yielded conflicting portraits of the black hole spin distribution. Some work suggests that black hole spins are small but non-zero and exhibit a wide range of misalignment angles relative to binaries' orbital angular momenta. Other work concludes that the majority of black holes are non-spinning while the remainder are rapidly rotating and primarily aligned with their orbits. We revisit these conflicting conclusions, employing a variety of complementary methods to measure the distribution of spin magnitudes and orientations among binary black hole mergers. We find that the existence of a sub-population of black hole with vanishing spins is not required by current data. Should such a sub-population exist, we conclude that it must contain $\lesssim 60\%$ of binaries. Additionally, we find evidence for significant spin-orbit misalignment among the binary black hole population, with some systems exhibiting misalignment angles greater than $90^{\circ}$, and see no evidence for an approximately spin-aligned sub-population.
description: Matches published version. v2 contains new appendix presenting predictive checks of population models
Micro cavitation bubbles on the movement of an experimental submarine Theory and Experiments
Creators: name: Mancas, Stefan C.
name: Sajjadi, Shahrdad G.
name: Anderson, Asalie
name: Hoffman, Derek
Publisher: name: arXiv
Year: 2014
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: To further understand their nature, micro cavitation bubbles were systematically diffused around the exterior of a test body (tube) fully submerged in a water tank. The primary purpose was to assess the feasibility of applying micro cavitation as a means of depth control for underwater vehicles, mainly but not limited to submarines. Ideally, the results would indicate the use of micro cavitation as a more efficient alternative to underwater vehicle depth control than the conventional ballast tank method. The current approach utilizes the Archimedes' principle of buoyancy to alter the density of the object affected, making it less than, or greater than the density of the surrounding fluid. However, this process is too slow for underwater vehicles to react to sudden obstacles inherent in their environment. Rather than altering its internal density, this experiment aimed to investigate the response that would occur if the density of its environment was manipulated instead. In theory, and in a hydrostatic fluid, diffusing micro air bubbles from the top surface of the submarine would dilute the column of water above it with air cavities, thus lowering the density of the water. The resulting pressure differential would then cause the submarine to gain buoyancy.
description: 20 pages, 15 figures
On Tackling Explanation Redundancy in Decision Trees
Creators: name: Izza, Yacine
name: Ignatiev, Alexey
name: Marques-Silva, Joao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.4; I.2.6

description: Decision trees (DTs) epitomize the ideal of interpretability of machine learning (ML) models. The interpretability of decision trees motivates explainability approaches by so-called intrinsic interpretability, and it is at the core of recent proposals for applying interpretable ML models in high-risk applications. The belief in DT interpretability is justified by the fact that explanations for DT predictions are generally expected to be succinct. Indeed, in the case of DTs, explanations correspond to DT paths. Since decision trees are ideally shallow, and so paths contain far fewer features than the total number of features, explanations in DTs are expected to be succinct, and hence interpretable. This paper offers both theoretical and experimental arguments demonstrating that, as long as interpretability of decision trees equates with succinctness of explanations, then decision trees ought not be deemed interpretable. The paper introduces logically rigorous path explanations and path explanation redundancy, and proves that there exist functions for which decision trees must exhibit paths with arbitrarily large explanation redundancy. The paper also proves that only a very restricted class of functions can be represented with DTs that exhibit no explanation redundancy. In addition, the paper includes experimental results substantiating that path explanation redundancy is observed ubiquitously in decision trees, including those obtained using different tree learning algorithms, but also in a wide range of publicly available decision trees. The paper also proposes polynomial-time algorithms for eliminating path explanation redundancy, which in practice require negligible time to compute. Thus, these algorithms serve to indirectly attain irreducible, and so succinct, explanations for decision trees.
Intranasal Fentanyl for acute pain management in children, adult and elderly patients in the pre-Hospital Emergency service and in the Emergency Department. A systematic review.
Creators: name: De Iaco, Fabio
name: Spampinato, Michele Domenico
name: Fabbri, Andrea
name: Guarino, Mario
name: Pavasini, Rita
name: Riccardi, Alessandro
name: Serra, Sossio
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Medicine and Health Sciences

description: This is a systematic review on the use of intranasally delivered fentanyl for pain in the emergency setting
Quantum variational learning for entanglement witnessing
Creators: name: Scala, Francesco
name: Mangini, Stefano
name: Macchiavello, Chiara
name: Bajoni, Daniele
name: Gerace, Dario
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Several proposals have been recently introduced to implement Quantum Machine Learning (QML) algorithms for the analysis of classical data sets employing variational learning means. There has been, however, a limited amount of work on the characterization and analysis of quantum data by means of these techniques, so far. This work focuses on one such ambitious goal, namely the potential implementation of quantum algorithms allowing to properly classify quantum states defined over a single register of $n$ qubits, based on their degree of entanglement. This is a notoriously hard task to be performed on classical hardware, due to the exponential scaling of the corresponding Hilbert space as $2^n$. We exploit the notion of "entanglement witness", i.e., an operator whose expectation values allow to identify certain specific states as entangled. More in detail, we made use of Quantum Neural Networks (QNNs) in order to successfully learn how to reproduce the action of an entanglement witness. This work may pave the way to an efficient combination of QML algorithms and quantum information protocols, possibly outperforming classical approaches to analyse quantum data. All these topics are discussed and properly demonstrated through a simulation of the related quantum circuit model.
description: Accepted for publication at IEEE WCCI 2022
Rigidity of infinitesimal momentum maps
Creators: name: Esposito, Chiara
name: Miranda, Eva
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: Symplectic Geometry (math.SG)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 53D17, 53D20

description: In this paper we prove rigidity theorems for Poisson Lie group actions on Poisson manifolds. In particular, we prove that close infinitesimal momentum maps associated to Poisson Lie group actions are equivalent using a normal form theorem for SCI spaces. When the Poisson structure of the acted manifold is integrable, this yields rigidity also for lifted actions to the symplectic groupoid.
description: 16 pages
Beyond Degrees: Navigating the Digital Frontier in Higher Education Credentialing
Creators: name: Panda, Subhajit
name: Kaur, Navkiran
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 461006
subject: Library studies
classificationCode: 461099
subject: Library and information studies not elsewhere classified

description: The landscape of higher education is undergoing a transformative shift catalyzed by digital credentialing. This paper delves into the dynamic realm of digital badges, micro-credentials, and online degrees, exploring their impact on education accessibility, learning methodologies, and employability in the contemporary global context. From robust online platforms fostering interactive learning to the innovative use of blockchain technology ensuring credential authenticity, the study navigates the multifaceted aspects of digital credentialing. The research critically analyzes challenges such as standardization, credibility assurance, and integration within existing curricula, proposing practical solutions and best practices. It emphasizes the pivotal role of industry collaborations, personalized learning paths, and interdisciplinary integration in enhancing the value of digital credentials. The paper sheds light on the socio-economic aspects, addressing issues of affordability, the digital divide, and financial accessibility. Moreover, it explores the future trajectory of digital credentialing, emphasizing lifelong learning, global collaboration, and regulatory frameworks. By examining the strengths, limitations, and innovations in digital credentialing, this paper provides a comprehensive overview, guiding educators, institutions, and policymakers toward informed decisions in the evolving landscape of education.
First order particle acceleration in magnetically-driven flows
Creators: name: Beresnyak, Andrey
name: Li, Hui
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We demonstrate that particles are regularly accelerated while experiencing curvature drift in flows driven by magnetic tension. Some examples of such flows include spontaneous turbulent reconnection and decaying magnetohydrodynamic (MHD) turbulence, where magnetic field relaxes to a lower-energy configuration and transfers part of its energy to kinetic motions. The opposite process, such as dynamo, will actually result in the net cooling of particles by the curvature drift. Being very generic, this acceleration mechanism is likely to be responsible in production of non-thermal particle distribution in magnetically-dominant environments such as solar chromosphere, pulsar magnetosphere, jets from supermassive black holes, $γ$-ray bursts, etc.
description: 6 pages, 2 figures
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora
Creators: name: Dau, Anh T. V.
name: Nguyen-Duc, Thang
name: Thanh-Tung, Hoang
name: Bui, Nghi D. Q.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Despite the recent trend of developing and applying neural source code models to software engineering tasks, the quality of such models is insufficient for real-world use. This is because there could be noise in the source code corpora used to train such models. We adapt data-influence methods to detect such noises in this paper. Data-influence methods are used in machine learning to evaluate the similarity of a target sample to the correct samples in order to determine whether or not the target sample is noisy. Our evaluation results show that data-influence methods can identify noisy samples from neural code models in classification-based tasks. This approach will contribute to the larger vision of developing better neural source code models from a data-centric perspective, which is a key driver for developing useful source code models in practice.
description: The 37th IEEE/ACM International Conference on Automated Software Engineering
An algorithmic approach to construct crystallizations of $3$-manifolds from presentations of fundamental groups
Creators: name: Basak, Biplab
Publisher: name: arXiv
Year: 2014
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: Primary 57Q15, Secondary 05C15, 57N10, 57Q05

description: We have defined weight of the pair $(\langle S \mid R \rangle, R)$ for a given presentation $\langle S \mid R \rangle$ of a group, where the number of generators is equal to the number of relations. We present an algorithm to construct crystallizations of 3-manifolds whose fundamental group has a presentation with two generators and two relations. If the weight of $(\langle S \mid R \rangle, R)$ is $n$ then our algorithm constructs all the $n$-vertex crystallizations which yield $(\langle S \mid R \rangle, R)$. As an application, we have constructed some new crystallizations of 3-manifolds. We have generalized our algorithm for presentations with three generators and certain class of relations. For $m\geq 3$ and $m \geq n \geq k \geq 2$, our generalized algorithm gives a $2(2m+2n+2k-6+δ_n^2 + δ_k^2)$-vertex crystallization of the closed connected orientable $3$-manifold $M\langle m,n,k \rangle$ having fundamental group $\langle x_1,x_2,x_3 \mid x_1^m=x_2^n=x_3^k=x_1x_2x_3 \rangle$. These crystallizations are minimal and unique with respect to the given presentations. If `$n=2$' or `$k\geq 3$ and $m \geq 4$' then our crystallization of $M\langle m,n,k \rangle$ is vertex-minimal for all the known cases.
description: 24 pages, 8 figures
A classification of small linear functors
Creators: name: Chorny, Boris
Publisher: name: arXiv
Year: 2014
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics

description: We extend Goodwillie's classification of finitary linear functors to arbitrary small functors. That is we show that every small linear simplicial functor from spectra to simplicial sets is weakly equivalent to a filtered colimit of representable functors represented in cofibrant spectra. Moreover, we present this classification as a Quillen equivalence of the category of small functors from spectra to simplicial sets equipped with the linear model structure and the opposite of the pro-category of spectra with the strict model structure.
description: 22 pages. Minor corrections.To appear in IMRN. arXiv admin note: substantial text overlap with arXiv:1303.7108
title: Philological notes on the letter lambda in a new Greek-English dictionary. I. λαβάργυρος – λάσθη
Creators: name: Olson, S. Douglas
Publisher: name: Hyperboreus 29: 1 (2023) 143–166
Year: 2023

description: Two generations ago, Robert Renehan published a series of articles expanding, refining, and correcting entries in the 9th edition of the monumental Liddell–Scott–Jones Greek-English Lexicon (1940) as supplemented by Barber and his fellow editors (1968). These notes on the letter lambda in the new Brill Dictionary of Ancient Greek are offered in a similar spirit.
description: Полвека тому назад Роберт Ренеган опубликовал ряд дополнений, уточнений и поправок к девятому изданию монументального словаря Liddell–Scott–Jones Greek-English Lexicon (1940), дополненного группой издателей во главе с Барбером (1968). Настоящие заметки к леммам на букву лямбда призваны сыграть аналогичную роль по отношению к новому Brill Dictionary of Ancient Greek.
D2.8 ClairCity FInal Evaluation Report
Creators: name: Fogg-Rogers, Laura
name: Sardo, Margarida
name: Laggan, Sophie
name: Corra Boushel
name: Judge, David
Publisher: name: Zenodo
Year: 2020
Subjects: evaluation
public engagement
science communication
air pollution
climate change

description: This report details the purpose of evaluating the ClairCity public engagement process, the framework for analysis and the evaluation findings. As well as outlining the evaluation rationale, it presents a full account of all evaluation methodologies and data collected for each Work Package (WP) in the project. The evaluation was designed by Margarida Sardo (UWE) and managed by Laura Fogg-Rogers (UWE), and analysis was conducted alongside Corra Boushel (UWE), Sophie Laggan (UWE) and David Judge (UWE).