cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Anesthetic Management of Acute Surgical Conditions
Creators: name: Doris Bradley
Publisher: name: Zenodo
Year: 2022

description: This study delves into the intricacies of anesthetic management in the context of acute surgical conditions, exploring the nuances of perioperative care, optimization strategies, and the impact on patient outcomes. The research aims to provide insights into tailored anesthetic approaches, addressing challenges unique to acute surgical scenarios. By examining the interface between anesthesia and emergent surgical interventions, the study contributes to the ongoing refinement of perioperative care practices.
Inhomogeneous Oscillatory Integrals and Global Smoothing Effects for Dispersive Equations
Creators: name: Huang, Tianxiao
name: Huang, Shanlin
name: Zheng, Quan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Analysis of PDEs (math.AP)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We study oscillatory integrals of the type ${\mathcal F}^{-1}(e^{ita(\cdot)}ψ(\cdot))$ where $a$ is a general function satisfying some elliptic type and non-degenerate conditions at both the origin and infinity, and $ψ$ belongs to some symbol class. Point-wise estimates in space-time are gained with partial sharpness. As applications, global smoothing effects of $L^p-L^q$ as well as Strichartz type for dispersive equations are studied. An application to fractional Schrödinger equations is also given.
description: 22 pages, 1 figure
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models
Creators: name: Struski, Łukasz
name: Sadowski, Michał
name: Danel, Tomasz
name: Tabor, Jacek
name: Podolak, Igor T.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Interpolating between points is a problem connected simultaneously with finding geodesics and study of generative models. In the case of geodesics, we search for the curves with the shortest length, while in the case of generative models we typically apply linear interpolation in the latent space. However, this interpolation uses implicitly the fact that Gaussian is unimodal. Thus the problem of interpolating in the case when the latent density is non-Gaussian is an open problem. In this paper, we present a general and unified approach to interpolation, which simultaneously allows us to search for geodesics and interpolating curves in latent space in the case of arbitrary density. Our results have a strong theoretical background based on the introduced quality measure of an interpolating curve. In particular, we show that maximising the quality measure of the curve can be equivalently understood as a search of geodesic for a certain redefinition of the Riemannian metric on the space. We provide examples in three important cases. First, we show that our approach can be easily applied to finding geodesics on manifolds. Next, we focus our attention in finding interpolations in pre-trained generative models. We show that our model effectively works in the case of arbitrary density. Moreover, we can interpolate in the subset of the space consisting of data possessing a given feature. The last case is focused on finding interpolation in the space of chemical compounds.
Two-component $GW$ calculations: Cubic scaling implementation and comparison of vertex corrected and partially self-consistent $GW$ variants
Creators: name: Förster, Arno
name: van Lenthe, Erik
name: Spadetto, Edoardo
name: Visscher, Lucas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We report an all-electron, atomic orbital (AO) based, two-component (2C) implementation of the $GW$ approximation (GWA) for closed-shell molecules. Our algorithm is based on the space-time formulation of the GWA and uses analytical continuation of the self-energy, and pair-atomic density fitting (PADF) to switch between AO and auxiliary basis. By calculating the dynamical contribution to the $GW$ self-energy at a quasi-one-component level, our 2C $GW$ algorithm is only about a factor of two to three slower than in the scalar relativistic case. Additionally, we present a 2C implementation of the simplest vertex correction to the self-energy, the statically screened $G3W2$ correction. Comparison of first ionization potentials of a set of 67 molecules with heavy elements (a subset of the SOC81 set) calculated with our implementation against results from the WEST code reveals mean absolute deviations of around 70 meV for $G_0W_0$@PBE and $G_0W_0$@PBE0. These are most likely due to technical differences in both implementations, most notably the use of different basis sets, pseudopotential approximations, different treatment of the frequency dependency of the self-energy and the choice of the 2C-Hamiltonian. Finally, we assess the performance of some (partially self-consistent) variants of the GWA for the calculation of first IPs by comparison to vertical experimental reference values. $G_0W_0$PBE0 (25 \% exact exchange) and $G_0W_0$BHLYP (50 \% exact exchange) perform best with mean absolute deviations (MAD) of about 200 meV. Eigenvalue-only self-consistent $GW$ (ev$GW$) and quasi-particle self-consistent $GW$ (qs$GW$) significantly overestimate the IPs. Perturbative $G3W2$ corrections improve the agreement with experiment in cases where $G_0W_0$ alone underestimates the IPs. With a MAD of only 140 meV, 2C-$G_0W_0$PBE0 + $G3W2$ is in best agreement with the experimental reference values.
description: Version with recalculated results due to a bug in the code with which the original results where produced
Deep Learning-powered Iterative Combinatorial Auctions
Creators: name: Weissteiner, Jakob
name: Seuken, Sven
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: In this paper, we study the design of deep learning-powered iterative combinatorial auctions (ICAs). We build on prior work where preference elicitation was done via kernelized support vector regressions (SVRs). However, the SVR-based approach has limitations because it requires solving a machine learning (ML)-based winner determination problem (WDP). With expressive kernels (like gaussians), the ML-based WDP cannot be solved for large domains. While linear or quadratic kernels have better computational scalability, these kernels have limited expressiveness. In this work, we address these shortcomings by using deep neural networks (DNNs) instead of SVRs. We first show how the DNN-based WDP can be reformulated into a mixed integer program (MIP). Second, we experimentally compare the prediction performance of DNNs against SVRs. Third, we present experimental evaluations in two medium-sized domains which show that even ICAs based on relatively small-sized DNNs lead to higher economic efficiency than ICAs based on kernelized SVRs. Finally, we show that our DNN-powered ICA also scales well to very large CA domains.
STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports
Creators: name: Marchiori, Francesco
name: Conti, Mauro
name: Verde, Nino Vincenzo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The automatic extraction of information from Cyber Threat Intelligence (CTI) reports is crucial in risk management. The increased frequency of the publications of these reports has led researchers to develop new systems for automatically recovering different types of entities and relations from textual data. Most state-of-the-art models leverage Natural Language Processing (NLP) techniques, which perform greatly in extracting a few types of entities at a time but cannot detect heterogeneous data or their relations. Furthermore, several paradigms, such as STIX, have become de facto standards in the CTI community and dictate a formal categorization of different entities and relations to enable organizations to share data consistently. This paper presents STIXnet, the first solution for the automated extraction of all STIX entities and relationships in CTI reports. Through the use of NLP techniques and an interactive Knowledge Base (KB) of entities, our approach obtains F1 scores comparable to state-of-the-art models for entity extraction (0.916) and relation extraction (0.724) while considering significantly more types of entities and relations. Moreover, STIXnet constitutes a modular and extensible framework that manages and coordinates different modules to merge their contributions uniquely and exhaustively. With our approach, researchers and organizations can extend their Information Extraction (IE) capabilities by integrating the efforts of several techniques without needing to develop new tools from scratch.
description: 11 pages, 3 figures
Testing MSW effect in supernova explosion with neutrino event rates
Creators: name: Lai, Kwang-Chang
name: Leung, C. S. Jason
name: Lin, Guey-Lin
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Flavor transition mechanisms of supernova (SN) neutrinos during their propagation deserve a close scrutiny. We present a method to verify Mikheyev-Smirnov-Wolfenstein (MSW) effect during the propagation of SN neutrinos from the SN core to the Earth. The non-MSW scenarios to be distinguished from the MSW one are the incoherent flavor transition probability for neutrino propagation in the vacuum and the flavor equalization induced by fast flavor conversions. Our approach involves studying the time evolution of neutrino event rates in liquid argon, liquid scintillation, and water Cherenkov detectors. The liquid argon detector is sensitive to $ν_e$ flux while liquid scintillation and water Cherenkov detectors can measure $\barν_e$ flux through inverse $β$ decay process. The flux of $ν_e$ ($\barν_e$) is a linear combination of $ν_e$ ($\barν_e$) and $ν_{μ,τ}$ ($\barν_{μ,τ}$) fluxes from the source with the weighting of each component dictated by the flavor transition mechanism. Using currently available simulations for SN neutrino emissions, the time evolution of $ν_e{\rm Ar}$ and $\barν_e$ inverse $β$ decay event rates and the corresponding cumulative event fractions are calculated up to $t=100~{\rm ms}$ in DUNE, JUNO, and Hyper-Kamiokande detectors, respectively. It is shown that the area under the cumulative time distribution curve from $t=0$ to $t=100~{\rm ms}$ in each detector and their ratio can be used to discriminate different flavor transition scenarios of SN neutrinos.
description: 31 pages, 8 figures, Substantial revisions on Sec. IV with new method introduced; matches the published version
The mass, luminosity and mass-loss rate of the donor of the V1487 Aql/GRS 1915+105 binary system
Creators: name: Ziółkowski, Janusz
name: Zdziarski, Andrzej A.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The donor in the microquasar GRS 1915+105 is a low-mass giant. Such a star consists of a degenerate helium core and a hydrogen-rich envelope. Both components are separated by a hydrogen burning shell. The structure of such an object is relatively simple and easy to model. Making use of the observational constraints on the luminosity and the radius of the donor, we constrain the mass of this star with evolutionary models. We find a very good agreement between the constraints from those models and from the observed rotational broadening and the NIR magnitude. Combining the constraints, we find solutions with stripped giants of the mass of $\geq\!0.28{\rm M}_{\odot}$ and of the spectral class K5 III, independent of the distance to the system, and a distance-dependent upper limit, $\lesssim\!1{\rm M}_{\odot}$. We also calculate the average mass transfer rate and the duty cycle of the system as a function of the donor mass. This rate is much below the critical rate (at which the system would become persistent), and the duty cycle is less than 20 per cent.
description: MNRAS, in press
Revista Latinoamericana de Ginecología Regenerativa. 2024; volumen 2, número 1.
Creators: name: SOGIRE, Sociedad de Ginecología Regenerativa (Venezuela)
Publisher: name: Zenodo
Year: 2024

description: Misión

La Revista Latinoamericana de Ginecología Regenerativa tiene la misión el generar, discutir y difundir, investigaciones, conocimientos, documentos y demás información en Ginecología Regenerativa y áreas afines, para que esté al alcance de profesionales y estudiantes de las Ciencias de la Salud y del público en general, a través de un planteamiento práctico, sencillo y atractivo, que permita llegar a un mayor número de usuarios, lo que servirá para la divulgación científica en salud. 

Visión

Ser una revista reconocida tanto nacional como internacionalmente, que sea punto de referencias en Ginecología y motivo de consulta constante de profesionales del área, logrando la inclusión en índices tanto nacionales como internacionales, fruto de un reconocimiento por cumplir con los estándares bibliométricos y cienciométricos tanto nacionales, cómo internacionales.

Objetivo General

Publicar artículos de investigación, artículos históricos, imágenes en Ginecología Regenerativa y cartas al Editor, que versen sobre la Ginecología Regenerativa, especialmente sobre temas como la Ginecología Estética, Ginecología Funcional, Bioestimulantes en Ginecología, Energía en Ginecología, Complejo Clitorolabial, Labios Mayores, Vagina, Ano, Manejo de Complicaciones, Dilemas Éticos, Mercadeo y Redes Sociales en Ginecología y demás temas relacionados con la Ginecología Regenerativa.
Analysis of Violent Incidents at Five Regional and Remote Australian Emergency Departments: A Retrospective Descriptive Study
Creators: name: Thomas, Brodie
name: Jacob, Alycia
name: McCann, D
name: Buykx, P
name: Schultz, R
name: Kinsman, Leigh
name: O’Meara, P
name: Edvardsson, Kristina
name: Spelten, Evelien
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 42
subject: Health sciences
subject: FOS: Health sciences
classificationCode: 4203
subject: Health services and systems
classificationCode: 4205
subject: Nursing

description: Introduction: Workplace violence is endemic, destructive, and escalating in frequency and severity in healthcare. There is a paucity of research on workplace violence in regional and remote hospital emergency departments (EDs). Objective: The aim of this study was to identify the perpetrator and situational characteristics associated with violent incidents in the ED across five regional and remote Australian sites. Method: This study audited hospital summary data, incident reports, and medical records for a 12-month period in 2018 to examine the perpetrator and situational characteristics of workplace violence incidents in five regional and remote Australian EDs. Results: Violent incidents were evenly spread throughout the week and across shifts. Most incidents were triaged as urgent, occurred within the first 4 hr, and had multidisciplinary involvement. Almost one in every six incidents resulted in an injury. Perpetrators of violence were predominantly young and middle-aged males and almost always patients, with most presenting with mental and behavioral disorders, or psychoactive substance use. Conclusions: Understanding the characteristics of perpetrators of violence can help in seeking to tailor interventions to reduce further violent behaviors. These findings carry implications for optimizing patient care, staff safety and resource management.
On the Metric Dimensions for Sets of Vertices
Creators: name: Hakanen, Anni
name: Junnila, Ville
name: Laihonen, Tero
name: Puertas, María Luz
Publisher: name: arXiv
Year: 2020
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Resolving sets were originally designed to locate vertices of a graph one at a time. For the purpose of locating multiple vertices of the graph simultaneously, $\{\ell\}$-resolving sets were recently introduced. In this paper, we present new results regarding the $\{\ell\}$-resolving sets of a graph. In addition to proving general results, we consider $\{2\}$-resolving sets in rook's graphs and connect them to block designs. We also introduce the concept of $\ell$-solid-resolving sets, which is a natural generalisation of solid-resolving sets. We prove some general bounds and characterisations for $\ell$-solid-resolving sets and show how $\ell$-solid- and $\{\ell\}$-resolving sets are connected to each other. In the last part of the paper, we focus on the infinite graph family of flower snarks. We consider the $\ell$-solid- and $\{\ell\}$-metric dimensions of flower snarks. In two proofs regarding flower snarks, we use a new computer-aided reduction-like approach.
description: 21 pages, 5 figures
Tangle addition and the knots-quivers correspondence
Creators: name: Stosic, Marko
name: Wedrich, Paul
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Algebra (math.QA)
subject: High Energy Physics - Theory (hep-th)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We prove that the generating functions for the one row/column colored HOMFLY-PT invariants of arborescent links are specializations of the generating functions of the motivic Donaldson-Thomas invariants of appropriate quivers that we naturally associate with these links. Our approach extends the previously established tangles-quivers correspondence for rational tangles to algebraic tangles by developing gluing formulas for HOMFLY-PT skein generating functions under Conway's tangle addition. As a consequence, we prove the conjectural links-quivers correspondence of Kucharski-Reineke-Stošić-Sulkowski for all arborescent links.
description: 24 pages, page numbers differ from published version
Casimir-Polder force fluctuations as spatial probes of dissipation in metals
Creators: name: Cherroret, Nicolas
name: Crépin, Pierre-Philippe
name: Guérout, Romaint
name: Lambrecht, Astrid
name: Reynaud, Serge
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We study the spatial fluctuations of the Casimir-Polder force experienced by an atom or a small sphere moved above a metallic plate at fixed separation distance. We demonstrate that unlike the mean force, the magnitude of these fluctuations crucially relies on the relaxation of conduction electron in the metallic bulk, and even achieves values that differ by orders of magnitude depending on the amount of dissipation. We also discover that fluctuations suffer a spectacular decrease at large distances in the case of nonzero temperature.
description: 6 pages, 5 figures
The DL Advocate: Playing the devil's advocate with hidden systematic uncertainties
Creators: name: Golutvin, Andrei
name: Iniukhin, Aleksandr
name: Mauri, Andrea
name: Owen, Patrick
name: Serra, Nicola
name: Ustyuzhanin, Andrey
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We propose a new method based on machine learning to \emph{play the devil's advocate} and investigate the impact of unknown systematic effects in a quantitative way. This method proceeds by reversing the measurement process and using the physics results to interpret systematic effects under the Standard Model hypothesis. We explore this idea with two alternative approaches: the first one relies on a combination of gradient descent and optimisation techniques, its application and potentiality is illustrated with an example that studies the branching fraction measurement of a heavy-flavour decay. The second method employs reinforcement learning and it is applied to the determination of the $P_{5}^{'}$ angular observable in $B^0 \to K^{*0} μ^+μ^-$ decays. We find that for the former, the size of a hypothetical hidden systematic uncertainty strongly depends on the kinematic overlap between the signal and normalisation channel, while the latter is very robust against possible mismodellings of the efficiency.
description: As accepted for publication in EPJC
Le FAIR, mode d'emploi : conseils
Creators: name: Mistral, François
name: Berreta, Francesco
name: Alamercery, Vincent
Publisher: name: Zenodo
Year: 2023
Subjects: FAIR

description: Session parallèle proposée dans le cadre des Journées Abes 2023. Le service Autorités et Référentiels de l’Abes reçoit des sollicitations, parfois ponctuelles, parfois dans le cadre de projets financés (CollEx-Persée, ANR, FNSO). En parallèle, l‘Abes et le laboratoire LARHRA échangent régulièrement au sujet des renouvellements méthodologiques de la recherche, en particulier en SHS, induits par le développement des technologies numériques. Lors de cette session, l’Abes et le laboratoire LARHRA exposeront les résultats de leur expérience. A l’issue, vous disposerez de guides, de garde-fous et d’illustrations, à même d’être réutilisés afin d’assurer un plus haut degré d’interopérabilité des jeux de données de votre établissement. En tant que professionnel de la documentation, vous êtes confronté à des jeux de données ? Cette session est pour vous !
Impact of surface reflectivity on the ultra-fast laser melting of silicon-germanium alloys
Creators: name: Ricciarelli, Damiano
name: Mannino, Giovanni
name: Deretzis, Ioannis
name: Calogero, Gaetano
name: Fisicaro, Giuseppe
name: Daubriac, Richard
name: Demoulin, Remi
name: Cristiano, Fuccio
name: Michalowski, Pawel P.
name: Acosta-Alba, Pablo
name: Hartmann, Jean-Michel
name: Kerdilès, Sébastien
name: La Magna, Antonino
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Ultraviolet nanosecond laser annealing (LA) is a powerful tool where strongly confined heating and melting are desirable. In semiconductor technologies the importance of LA increases with the increasing complexity of the proposed integration schemes. Optimizing the LA process along with the experimental design is challenging, especially when complex 3D nanostructured systems with various shapes and phases are involved. Within this context, reliable simulations of laser melting are required for optimizing the process parameters while reducing the number of experimental tests. This gives rise to a virtual Design of Experiments (DoE). $Si_{1-x}Ge_{x}$ alloys are nowadays used for their compatibility with silicon devices enabling to engineer properties such as strain, carrier mobilities and bandgap. In this work, the laser melting process of relaxed and strained $Si_{1-x}Ge_{x}$ is simulated with a finite element method / phase field approach. Particularly, we calibrated the dielectric functions of the alloy for its crystalline and liquid phase using experimental data. We highlighted the importance of reproducing the exact reflectivity of the interface between air and the material in its different aggregation states, to correctly mimic the process. We indirectly discovered intriguing features on the optical behavior of melt silicon-germanium.
Dynamic Resilient Network Games with Applications to Multi-Agent Consensus
Creators: name: Nugraha, Yurid
name: Cetinkaya, Ahmet
name: Hayakawa, Tomohisa
name: Ishii, Hideaki
name: Zhu, Quanyan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: A cyber security problem in a networked system formulated as a resilient graph problem based on a game-theoretic approach is considered. The connectivity of the underlying graph of the network system is reduced by an attacker who removes some of the edges whereas the defender attempts to recover them. Both players are subject to energy constraints so that their actions are restricted and cannot be performed continuously. For this two-stage game, which is played repeatedly over time, we characterize the optimal strategies for the attacker and the defender in terms of edge connectivity and the number of connected components of the graph. The resilient graph game is then applied to a multi-agent consensus problem. We study how the attacks and the recovery on the edges affect the consensus process. Finally, we also provide numerical simulation to illustrate the results.
description: 12 pages, 13 figures
Unifying first principle theoretical predictions and experimental measurements of size effects on thermal transport in SiGe alloys
Creators: name: Huberman, Samuel
name: Chiloyan, Vazrik
name: Duncan, Ryan A.
name: Zeng, Lingping
name: Jia, Roger
name: Maznev, Alexei A.
name: Fitzgerald, Eugene A.
name: Nelson, Keith A.
name: Chen, Gang
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: In this work, we demonstrate the correspondence between first principle calculations and experimental measurements of size effects on thermal transport in SiGe alloys. Transient thermal grating (TTG) is used to measure the effective thermal conductivity. The virtual crystal approximation under the density functional theory (DFT) framework combined with impurity scattering is used to determine the phonon properties for the exact alloy composition of the measured samples. With these properties, classical size effects are calculated for the experimental geometry of reflection mode TTG using the recently-developed variational solution to the phonon Boltzmann transport equation (BTE), which is verified against established Monte Carlo simulations. We find agreement between theoretical predictions and experimental measurements in the reduction of thermal conductivity (as much as $\sim$ 25\% of the bulk value) across grating periods spanning one order of magnitude. This work provides a framework for the tabletop study of size effects on thermal transport.
Degree 5 polynomials and Descartes' rule of signs
Creators: name: Cheriha, Hassen
name: Gati, Yousra
name: Kostov, Vladimir Petrov
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: For a univariate real polynomial without zero coefficients, Descartes' rule of signs (completed by an observation of Fourier) says that its numbers $pos$ of positive and $neg$ of negative roots (counted with multiplicity) are majorized respectively by the numbers $c$ and $p$ of sign changes and sign preservartions in the sequence of its coefficients, and that the differences $c-pos$ and $p-neg$ are even numbers. For degree 5 polynomials, it has been proved by A.~Albouy and Y.~Fu that there exist no such polynomials having three distinct positive and no negative roots and whose signs of the coefficients are $(+,+,-,+,-,-)$ (or having three distinct negative and no positive roots and whose signs of the coefficients are $(+,-,-,-,-,+)$). For degree 5 and when the leading coefficient is positive, these are all cases of numbers of positive and negative roots (all distinct) and signs of the coefficients which are compatible with Descartes' rule of signs, but for which there exist no such polynomials. We explain this non-existence and the existence in all other cases with $d=5$ by means of pictures showing the discriminant set of the family of polynomials $x^5+x^4+ax^3+bx^2+cx+d$ together with the coordinate axes.
Backtracking Dynamical Cavity Method
Creators: name: Behrens, Freya
name: Hudcová, Barbora
name: Zdeborová, Lenka
Publisher: name: arXiv
Year: 2023
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: The cavity method is one of the cornerstones of the statistical physics of disordered systems such as spin glasses and other complex systems. It is able to analytically and asymptotically exactly describe the equilibrium properties of a broad range of models. Exact solutions for dynamical, out-of-equilibrium properties of disordered systems are traditionally much harder to obtain. Even very basic questions such as the limiting energy of a fast quench are so far open. The dynamical cavity method partly fills this gap by considering short trajectories and leveraging the static cavity method. However, being limited to a couple of steps forward from the initialization it typically does not capture dynamical properties related to attractors of the dynamics. We introduce the backtracking dynamical cavity method that instead of analysing the trajectory forward from initialization, analyses trajectories that are found by tracking them backward from attractors. We illustrate that this rather elementary twist on the dynamical cavity method leads to new insight into some of the very basic questions about the dynamics of complex disordered systems. This method is as versatile as the cavity method itself and we hence anticipate that our paper will open many avenues for future research of dynamical, out-of-equilibrium, properties in complex systems.
description: 14 pages
Detecting Nanometer-Scale New Forces with Coherent Neutron Scattering
Creators: name: Bogorad, Zachary
name: Graham, Peter W.
name: Gratta, Giorgio
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Significant effort has been devoted to searching for new fundamental forces of nature. At short length scales (below approximately 10 nm), the strongest experimental constraints come from neutron scattering from individual nuclei in gases. The leading experiments at longer length scales instead measure forces between macroscopic test masses. We propose a hybrid of these two approaches: scattering neutrons off of a target that has spatial structure at nanoscopic length scales. Such structures will give a coherent enhancement to small-angle scattering, where the new force is most significant. This can considerably improve the sensitivity of neutron scattering experiments for new forces in the 0.1 - 100 nm range. We discuss the backgrounds due to Standard Model interactions and a variety of potential target structures that could be used, estimating the resulting sensitivities. We show that, using only one day of beam time at a modern neutron scattering facility, our proposal has the potential to detect new forces as much as two orders of magnitude beyond current laboratory constraints at the appropriate length scales.
description: 42 pages, 7 figures
The Effect of an Electronic Device Designed to Measure the Knee Bending Angle in Developing the Skill of Catch and Clearance the High Ball for Football Goalkeepers
Creators: name: Obaid, Mustafa Ahmed
name: Khalifa, Abbas Hussein
name: Saad Rabeea, Mohammed
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 420701
subject: Biomechanics

description: Background. The use of modern aids and technology has contributed greatly to football development, the goalkeeper is the most important position in the team, and the use of devices gave objective readings about the goalkeeper's ability in terms of skill and physical aspects.Objectives. The research aimed to prepare exercises using an electronic device to measure the knee bending angle because of its great importance in developing the skill of catching and dimensions of the high ball for football goalkeepers.Methods. The researchers used the experimental method, and the sample consisted of (4) male goalkeepers under 15 years of age, one of the research procedures was to determine the biomechanical variables affecting the development of the skill under study, where the training program was prepared according to an electronic device designed by the researchers.Results. The researchers analyzed the data statistically using the (SPSS) program and the (T-test) was used for the samples, it turned out that the value of (t) was (3.56), and the error rate was (0.01). It is below the level of significance (0.05) by a degree of freedom (3). This indicates that there are significant differences between the pretest and post-test and in favor of the results of the post-test of the researched variable among the individuals of the research sample.Conclusion. The researchers concluded that the use of assistive means and electronic devices, including the designed device, contributed significantly to developing the skill of catching and clearance of the high ball through the exercises prepared on the device.
Zonal Flow Magnetic Field Interaction in the Semi-Conducting Region of Giant Planets
Creators: name: Cao, Hao
name: Stevenson, David J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: All four giant planets in the Solar System feature zonal flows on the order of 100 m/s in the cloud deck, and large-scale intrinsic magnetic fields on the order of 1 Gauss near the surface. The vertical structure of the zonal flows remains obscure. The end-member scenarios are shallow flows confined in the radiative atmosphere and deep flows throughout the entire planet. The electrical conductivity increases rapidly yet smoothly as a function of depth inside Jupiter and Saturn. Deep zonal flows will inevitably interact with the magnetic field, at depth with even modest electrical conductivity. Here we investigate the interaction between zonal flows and magnetic fields in the semi-conducting region of giant planets. Employing mean-field electrodynamics, we show that the interaction will generate detectable poloidal magnetic field perturbations spatially correlated with the deep zonal flows. Assuming the peak amplitude of the dynamo alpha-effect to be 0.1 mm/s, deep zonal flows on the order of 0.1 - 1 m/s in the semi-conducting region of Jupiter and Saturn would generate poloidal magnetic perturbations on the order of 0.01% - 1% of the background dipole field. These poloidal perturbations should be detectable with the in-situ magnetic field measurements from the Juno mission and the Cassini Grand Finale. This implies that magnetic field measurements can be employed to constrain the properties of deep zonal flows in the semi-conducting region of giant planets.
description: 38 pages, 12 figures, revised submission to Icarus
An Alternative Perspective on Copositive and Convex Relaxations of Nonconvex Quadratic Programs
Creators: name: Yildirim, E. Alper
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 90C20, 90C25, 90C26

description: We study convex relaxations of nonconvex quadratic programs. We identify a family of so-called feasibility preserving convex relaxations, which includes the well-known copositive and doubly nonnegative relaxations, with the property that the convex relaxation is feasible if and only if the nonconvex quadratic program is feasible. We observe that each convex relaxation in this family implicitly induces a convex underestimator of the objective function on the feasible region of the quadratic program. This alternative perspective on convex relaxations enables us to establish several useful properties of the corresponding convex underestimators. In particular, if the recession cone of the feasible region of the quadratic program does not contain any directions of negative curvature, we show that the convex underestimator arising from the copositive relaxation is precisely the convex envelope of the objective function of the quadratic program, providing another proof of Burer's well-known result on the exactness of the copositive relaxation. We also present an algorithmic recipe for constructing instances of quadratic programs with a finite optimal value but an unbounded doubly nonnegative relaxation.
description: 26 pages
The effect of an electronic device designed to measure the degree of bending of the knee angle in developing the skill of catch and Clearance the high ball for football goalkeepers under (15 years)
Creators: name: Obaid, Mustafa Ahmed
name: Khalifa, Abbas Hussein
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 420701
subject: Biomechanics

description: The development taking place on the sports field at the general level and in the game of football at the private level, being the most popular game in the world, has reached very advanced stages. The use of modern aids and technology has contributed greatly to this development from the collective and individual aspects, as the goalkeeper is the most important position in the team, the use of devices gave objective readings about the goalkeeper's ability in terms of skill and physical aspects, as the importance of the research lies in designing an electronic device to measure the degree of bending of the knee angle because of its great importance in developing the skill of catching and dimensions of the high ball for football goalkeepers. The researchers chose a sample under the age of 15 years. Being an emerging age group, we consolidate the correct motor program for the skill to reach the best performance. The research aimed to prepare exercises using the device designed to develop the skill of catching and clearance the high ball, and also to identify the rate of development of the aforementioned skill. The research assumed that there were statistically significant differences in favor of the post-test results. The research sample was determined practically by (4) goalkeepers for the Iraqi Al-Zawra'a Club, where the researchers used the experimental approach, which is the approach that suits the nature of the research. The researchers concluded that the use of assistive means and electronic devices, including the designed device, contributed significantly to developing the skill of catching and clearance of the high ball through the exercises prepared on the device. The researchers recommend the use of modern technology and modern sports equipment in preparation for exercises, as it gives an accurate objective reading, which is the foundation stone for building exercises and measuring the rate of development .
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals
Creators: name: Haque, Khandaker Foysal
name: Zhang, Milin
name: Restuccia, Francesco
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Recent advances in Wi-Fi sensing have ushered in a plethora of pervasive applications in home surveillance, remote healthcare, road safety, and home entertainment, among others. Most of the existing works are limited to the activity classification of a single human subject at a given time. Conversely, a more realistic scenario is to achieve simultaneous, multi-subject activity classification. The first key challenge in that context is that the number of classes grows exponentially with the number of subjects and activities. Moreover, it is known that Wi-Fi sensing systems struggle to adapt to new environments and subjects. To address both issues, we propose SiMWiSense, the first framework for simultaneous multi-subject activity classification based on Wi-Fi that generalizes to multiple environments and subjects. We address the scalability issue by using the Channel State Information (CSI) computed from the device positioned closest to the subject. We experimentally prove this intuition by confirming that the best accuracy is experienced when the CSI computed by the transceiver positioned closest to the subject is used for classification. To address the generalization issue, we develop a brand-new few-shot learning algorithm named Feature Reusable Embedding Learning (FREL). Through an extensive data collection campaign in 3 different environments and 3 subjects performing 20 different activities simultaneously, we demonstrate that SiMWiSense achieves classification accuracy of up to 97%, while FREL improves the accuracy by 85% in comparison to a traditional Convolutional Neural Network (CNN) and up to 20% when compared to the state-of-the-art few-shot embedding learning (FSEL), by using only 15 seconds of additional data for each class. For reproducibility purposes, we share our 1TB dataset and code repository.
description: This work has been accepted for publication in IEEE WoWMoM 2023
Restoring time-reversal covariance in relaxed hydrodynamics
Creators: name: Amoretti, Andrea
name: Brattan, Daniel K.
name: Martinoia, Luca
name: Matthaiakakis, Ioannis
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In hydrodynamics, for generic relaxations, the stress tensor and $U(1)$ charge current two-point functions are not time-reversal covariant. This remains true even if the Martin-Kadanoff procedure happens to yield Onsager reciprocal correlators. We consider linearised relativistic hydrodynamics on Minkowski space in the presence of energy, $U(1)$ charge and momentum relaxation. We then show how one can find the minimal relaxed hydrodynamic framework that does yield two-point functions consistent with time-reversal covariance. We claim the same approach naturally applies to boost agnostic hydrodynamics and its limits (e.g. Carrollian, Galilean and Lifshitz fluids).
description: 16 pages, no figures, Submission to SciPost
Magnetogenesis in Matter - Ekpyrotic Bouncing Cosmology
Creators: name: Koley, Ratna
name: Samtani, Sidhartha
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In the recent past there have been many attempts to associate the generation of primordial magnetic seed fields with the inflationary era, but with limited success. We thus take a different approach by using a model for nonsingular bouncing cosmology. A coupling of the electromagnetic Lagrangian $F_{μν}F^{μν}$ with a non background scalar field has been considered for the breaking of conformal invariance. We have shown that non singular bouncing cosmology supports magnetogenesis evading the long standing back reaction and strong coupling problems which have plagued inflationary magnetogenesis. In this model, we have achieved a scale invariant power spectrum for the parameter range compatible with observed CMB anisotropies. The desired strength of the magnetic field has also been obtained that goes in accordance with present observations. It is also important to note that no BKL instability arises within this parameter range. The energy scales for different stages of evolution of the bouncing model are so chosen that they solve the problems of Standard Big Bang cosmology as well.
description: 15 pages, 2 figures
Work extraction in an isolated quantum lattice system: Grand canonical and generalized Gibbs ensemble predictions
Creators: name: Modak, Ranjan
name: Rigol, Marcos
Publisher: name: arXiv
Year: 2017
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study work extraction (defined as the difference between the initial and the final energy) in noninteracting and (effectively) weakly interacting isolated fermionic quantum lattice systems in one dimension, which undergo a sequence of quenches and equilibration. The systems are divided in two parts, which we identify as the subsystem of interest and the bath. We extract work by quenching the on-site potentials in the subsystem, letting the entire system equilibrate, and returning to the initial parameters in the subsystem using a quasi-static process (the bath is never acted upon). We select initial states that are direct products of thermal states of the subsystem and the bath, and consider equilibration to the generalized Gibbs ensemble (GGE, noninteracting case) and to the Gibbs ensemble (GE, weakly interacting case). We identify the class of quenches that, in the thermodynamic limit, results in GE and GGE entropies after the quench that are identical to the one in the initial state (quenches that do not produce entropy). Those quenches guarantee maximal work extraction when thermalization occurs. We show that the same remains true in the presence of integrable dynamics that results in equilibration to the GGE.
description: 13 pages, 11 figures, as published
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Creators: name: Song, Rui
name: Xu, Runsheng
name: Festag, Andreas
name: Ma, Jiaqi
name: Knoll, Alois
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Bird's eye view (BEV) perception is becoming increasingly important in the field of autonomous driving. It uses multi-view camera data to learn a transformer model that directly projects the perception of the road environment onto the BEV perspective. However, training a transformer model often requires a large amount of data, and as camera data for road traffic are often private, they are typically not shared. Federated learning offers a solution that enables clients to collaborate and train models without exchanging data but model parameters. In this paper, we introduce FedBEVT, a federated transformer learning approach for BEV perception. In order to address two common data heterogeneity issues in FedBEVT: (i) diverse sensor poses, and (ii) varying sensor numbers in perception systems, we propose two approaches -- Federated Learning with Camera-Attentive Personalization (FedCaP) and Adaptive Multi-Camera Masking (AMCM), respectively. To evaluate our method in real-world settings, we create a dataset consisting of four typical federated use cases. Our findings suggest that FedBEVT outperforms the baseline approaches in all four use cases, demonstrating the potential of our approach for improving BEV perception in autonomous driving.
description: Accepted by IEEE T-IV. Code: https://github.com/rruisong/FedBEVT
Weyl Scaling Invariant $R^2$ Gravity for Inflation and Dark Matter
Creators: name: Tang, Yong
name: Wu, Yue-Liang
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Inflation in the early universe can generate the nearly conformal invariant fluctuation that leads to the structures we observe at the present. The simple viable Starobinsky $R^2$ inflation has an approximate global scale symmetry. We study the conformal symmetric Weyl $\hat{R}^2$ and general $F(\hat{R})$ theories and demonstrate their equivalence to Einstein gravity coupled with a scalar and a Weyl gauge field. The scalar field in Weyl $\hat{R}^2$ gravity can be responsible for inflation with Starobinsky model as the attractor, potentially distinguishable from the latter by future experiments. The intrinsic Weyl gauge boson becomes massive once the Einstein frame is fixed, and constitutes as a dark matter candidate with mass up to $\sim 5\times 10^{16}$GeV.