cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Centrality-dependent Lévy HBT analysis in $\sqrt{s_{_{\text{NN}}}}=5.02$ TeV PbPb collisions at CMS
Creators: name: Kórodi, Balázs
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The measurement of two-particle Bose-Einstein momentum correlation functions are presented using $\sqrt{s_{_{\text{NN}}}}=5.02$ TeV PbPb collision data, recorded by the CMS experiment in 2018. The measured correlation functions are discussed in terms of Lévy type source distributions. The Lévy source parameters are extracted as functions of transverse mass and collision centrality. These source parameters include the correlation strength $λ$, the Lévy stability index $α$, and the Lévy scale parameter $R$. The source shape, characterized by $α$, is found to be neither Gaussian nor Cauchy. A hydrodynamic-like scaling of $R$ is also observed.
description: 14 pages, 11 figures, proceedings of the 22nd Zimanyi School Winter Workshop on Heavy Ion Physics, Budapest, Hungary, December 5 - 9, 2022, submitted to the MDPI Universe special issue "Zim\'anyi School - Heavy Ion Physics"
Entanglement Routing over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements
Creators: name: Zeng, Yiming
name: Zhang, Jiarui
name: Liu, Ji
name: Liu, Zhenhua
name: Yang, Yuanyuan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Generating a long-distance quantum entanglement is one of the most essential functions of a quantum network to support quantum communication and computing applications. The successful entanglement rate during a probabilistic entanglement process decreases dramatically with distance, and swapping is a widely-applied quantum technique to address this issue. Most existing entanglement routing protocols use a classic entanglement-swapping method based on Bell State measurements that can only fuse two successful entanglement links. This paper appeals to a more general and efficient swapping method, namely n-fusion based on Greenberger-Horne-Zeilinger measurements that can fuse n successful entanglement links, to maximize the entanglement rate for multiple quantum-user pairs over a quantum network. We propose efficient entanglement routing algorithms that utilize the properties of n-fusion for quantum networks with general topologies. Evaluation results highlight that our proposed algorithm under n-fusion can greatly improve the network performance compared with existing ones.
Optimal three-weight cubic codes
Creators: name: Shi, Minjia
name: Zhu, Hongwei
name: Solé, Patrick
Publisher: name: arXiv
Year: 2016
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 94B05, 94B15, 94B60, 12E20

description: In this paper, we construct an infinite family of three-weight binary codes from linear codes over the ring $R=\mathbb{F}_2+v\mathbb{F}_2+v^2\mathbb{F}_2$, where $v^3=1.$ These codes are defined as trace codes. They have the algebraic structure of abelian codes. Their Lee weight distributions are computed by employing character sums. The three-weight binary linear codes which we construct are shown to be optimal when $m$ is odd and $m>1$. They are cubic, that is to say quasi-cyclic of co-index three. An application to secret sharing schemes is given.
Dynamic Range Improvement in Bistatic Backscatter Communication Using Distributed MIMO
Creators: name: Kaplan, Ahmet
name: Vieira, Joao
name: Larsson, Erik G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Backscatter communication (BSC) is a promising solution for Internet-of-Things (IoT) connections due to its low-complexity, low-cost, and energy-efficient solution for sensors. There are several network infrastructure setups that can be used for BSC with IoT nodes/passive devices. One of them is a bistatic setup where there is a need for high dynamic range and high-resolution analog-to-digital converters at the reader side. In this paper, we investigate a bistatic BSC setup with multiple antennas. We propose a novel algorithm to suppress direct link interference between the carrier emitter (CE) and the reader using beamforming into the nullspace of the CE-reader direct link to decrease the dynamic range of the system and increase the detection performance of the backscatter device (BSD). Further, we derive a Neyman-Pearson (NP) test and an exact closed-form expression for its performance in the detection of the BSD. Finally, simulation results show that the dynamic range of the system is significantly decreased and the detection performance of the BSD is increased by the proposed algorithm compared to a system not using beamforming in the CE, which could then be used in a host of different practical fields such as agriculture, transportation, factories, hospitals, smart cities, and smart homes.
description: arXiv admin note: substantial text overlap with arXiv:2306.06658
Nonlinear Yang-Mills black holes
Creators: name: Jahromi, Fatemeh Masoumi
name: Mirza, Behrouz
name: Naeimipour, Fatemeh
name: Nasirimoghadam, Soudabe
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: This paper is devoted to investigating the nonlinear non-abelian Yang-Mills black holes. We consider three Born-Infeld, exponential, and logarithmic nonlinear Yang-Mills theories with $SO(n-1)$ and $SO(n-2,1)$ semi-simple groups, which n is the dimension of spacetime, and obtain a new class of nonlinear Yang-Mills (NYM) black hole solutions. Depending on the values of dimension $n$, Yang-Mills charge $e$ and the mass $m$ and nonlinear parameters $β$, our solutions can lead to a naked singularity, a black hole with two horizons, an extreme or a Schwarzschild-type black hole. We also investigate the thermodynamic behaviors of the NYM black holes. For small charge values, the NYM solutions may be thermally stable in the canonical ensemble, if we consider an AdS spacetime with spherical $k=+1$ and hyperbolic $k=-1$ coordinates or a flat one with $k=+1$. However, there are no stable regions in the grand canonical ensemble in higher dimensions. For the NYM black hole, we observe a reentrant phase transition between large and small black holes in the BI-branch with small $β$, which cannot be visible for the nonlinear Reissner-Nordstrom AdS black hole in the higher dimension. For the limit $β\rightarrow\infty$, the critical ratio $\frac{P_{c} v_{c}}{T_{c}}$ tends to the constant value $3/8$ for each dimension $n$, while it depends on the dimension for the case of nonlinear electrodynamics black holes.
description: 24 pages, 14 figures
An Extension of the Baire Property
Creators: name: Caruvana, Christopher
name: Kallman, Robert R.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Logic (math.LO)
subject: General Topology (math.GN)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 03E15, 03E35, 54H11, 28A05, 28C15, 28C10

description: The purpose of this paper is to define for every Polish space $X$ a class of sets, the $EBP(X)$-sets or the extended Baire property sets, to work out many properties of the $EBP(X)$-sets and to show their usefulness in analysis. For example, a proper generalization of the Pettis Theorem is proved in this context that furnishes a new automatic continuity result for Polish groups. The name extended Baire property sets is reasonable since $EBP(X)$ contains the Baire property sets $BP(X)$ and it is consistent with ZFC that the containment is proper.
Open quantum generalisation of Hopfield neural networks
Creators: name: Rotondo, P.
name: Marcuzzi, M.
name: Garrahan, J. P.
name: Lesanovsky, I.
name: Muller, M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a new framework to understand how quantum effects may impact on the dynamics of neural networks. We implement the dynamics of neural networks in terms of Markovian open quantum systems, which allows us to treat thermal and quantum coherent effects on the same footing. In particular, we propose an open quantum generalisation of the celebrated Hopfield neural network, the simplest toy model of associative memory. We determine its phase diagram and show that quantum fluctuations give rise to a qualitatively new non-equilibrium phase. This novel phase is characterised by limit cycles corresponding to high-dimensional stationary manifolds that may be regarded as a generalisation of storage patterns to the quantum domain.
title: Einflussfaktoren und Fördermaßnahmen im Hinblick auf geschlechtsspezifische Leistungsunterschiede in Mathematik
Creators: name: Stelzeneder, Stefanie
Year: 2023

description: In der vorliegenden Masterarbeit werden geschlechtsspezifische Leistungsunterschiede im Mathematikunterricht behandelt. Zunächst werden die Ergebnisse der österreichischen Schüler*innen im Kompetenzbereich Mathematik bei den zwei internationalen Schulleistungsstudien TIMSS und PISA beleuchtet. Danach wird darauf eingegangen, welche biologischen, psychologischen und soziokulturellen Einflussfaktoren geschlechtsspezifische Leistungsunterschiede in Mathematik herbeiführen. Schließlich werden Ansätze zum Abbau von geschlechtsspezifischen Leistungsunterschieden in Mathematik thematisiert. Das Kernstück dieser Masterarbeit bildet eine geschlechterrollenkritische Schulbuchanalyse. Gegenstand dieser Schulbuchanalyse ist die Frage, wie Mädchen/Frauen und Buben/Männer in den Mathematikschulbüchern der 5. Schulstufe dargestellt werden und inwiefern dadurch Geschlechterrollenstereotype vermittelt werden. Dazu werden fünf Mathematikschulbücher der 5. Schulstufe mithilfe eines Analysebogens quantitativ und qualitativ untersucht. Zudem wird überprüft, ob in den letzten 20 Jahren eine Verbesserung hin zu einer Gleichstellung der Geschlechter eingetreten ist. Zusammenfassend lässt sich sagen, dass ein positiver Trend hinsichtlich der Vermittlung von Geschlechterrollenstereotypen in Mathematikschulbüchern erkennbar ist. Mädchen/Frauen werden in Mathematikschulbüchern aber immer noch seltener erwähnt als Buben/Männer. Außerdem sind geschlechtsstereotype Rollenzuweisungen in bestimmten Themenbereichen (v.a. Berufstätigkeit und Sporttätigkeit) noch immer stark verankert. Durch diese Ergebnisse wird unweigerlich deutlich, dass es im Hinblick auf die Gleichberechtigung der Geschlechter einer weiteren Überarbeitung der Mathematikschulbücher bedarf.
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Creators: name: Mai, Gengchen
name: Xuan, Yao
name: Zuo, Wenyun
name: He, Yutong
name: Song, Jiaming
name: Ermon, Stefano
name: Janowicz, Krzysztof
name: Lao, Ni
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.0; I.2.6; I.2.10; I.5.1; J.2
subject: 68T07, 68T45

description: Generating learning-friendly representations for points in space is a fundamental and long-standing problem in ML. Recently, multi-scale encoding schemes (such as Space2Vec and NeRF) were proposed to directly encode any point in 2D/3D Euclidean space as a high-dimensional vector, and has been successfully applied to various geospatial prediction and generative tasks. However, all current 2D and 3D location encoders are designed to model point distances in Euclidean space. So when applied to large-scale real-world GPS coordinate datasets, which require distance metric learning on the spherical surface, both types of models can fail due to the map projection distortion problem (2D) and the spherical-to-Euclidean distance approximation error (3D). To solve these problems, we propose a multi-scale location encoder called Sphere2Vec which can preserve spherical distances when encoding point coordinates on a spherical surface. We developed a unified view of distance-reserving encoding on spheres based on the DFS. We also provide theoretical proof that the Sphere2Vec preserves the spherical surface distance between any two points, while existing encoding schemes do not. Experiments on 20 synthetic datasets show that Sphere2Vec can outperform all baseline models on all these datasets with up to 30.8% error rate reduction. We then apply Sphere2Vec to three geo-aware image classification tasks - fine-grained species recognition, Flickr image recognition, and remote sensing image classification. Results on 7 real-world datasets show the superiority of Sphere2Vec over multiple location encoders on all three tasks. Further analysis shows that Sphere2Vec outperforms other location encoder models, especially in the polar regions and data-sparse areas because of its nature for spherical surface distance preservation. Code and data are available at https://gengchenmai.github.io/sphere2vec-website/.
description: 30 Pages, 16 figures. Accepted to ISPRS Journal of Photogrammetry and Remote Sensing
On a purely inseparable analogue of the Abhyankar Conjecture for affine curves
Creators: name: Otabe, Shusuke
Publisher: name: arXiv
Year: 2017
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: Let $U$ be an affine smooth curve defined over an algebraically closed field of positive characteristic. The Abhyankar Conjecture (proved by Raynaud and Harbater in 1994) describes the set of finite quotients of Grothendieck's étale fundamental group of $U$. In this paper, we consider a purely inseparable analogue of this problem, formulated in terms of Nori's profinite fundamental group scheme, and give a partial answer to it.
description: 2nd version. Added Remark 3.7(4). Filled a gap in Lemma 4.2. Corrected some typos
title: Contrasting rare metal potentials in two Southern Alpine vein deposits
Creators: name:  Angerer ,   Thomas
name:  Poniewas ,   Tim
name:  Profanter ,   Lorenz
name:  Tribus ,   Martina
name:  Braetz ,   Helene
Publisher: name: Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
Year: 2021

description: Investigating rare metal potentials of the Alpine regions is of great importance to progress towards future supply independence. Sphalerite is an important carrier of Co, In, Ga, Ge, and Sb, and we know from the Eastern Alps, that vein deposits roughly host 66% of the Co, 18% of the Ga and 4% of the In resource. Here, we present data of sphalerite (and chalcopyrite) from two contrasting vein deposits in the Southern Alpine basement: the Pfunderer Berg (PF) Cu-Zn-Pb-Ag mine near Klausen and the Rabenstein (RS) F-Zn mine in the Sarn Valley. The PF mine is a Permian intrusion-hosted vein deposit with a chalcopyrite-sphalerite-galena-sulphosalt paragenesis. RS mine is a vein deposit with fluorite-sphalerite paragenesis, probably related to the Periadriatic fault. The two ores show contrasting textures and chemistry of sphalerite, which are primarily related to formation temperature: at PB high-T ZnS is black and homogeneous and enriched in Fe-Mn-Cd-Cu-Se-Co-In-Sn, while at RS low-T ZnS is honey-coloured and zones and enriched in Pb-As-Ag-Sb-Hg-Tl-Ga-Ge. Rare metal medians at PB are 303, 124, and 187 µg/g for Co, In, and Sn. At RS medians for Ga, Sb, Ag, Ge, are 383, 203, 85, and 9.1 µg/g. Spot analyses can reach higher values, either related to mineral inclusions (PB) or to zoning (RS). Across zoned ZnS grains, co-variations with Fe-content (0.3 to 6 wt.%) or Cu (70 to 5000 µg/g) are related to evolving hydrothermal pulse. Results demonstrate significant rare metal variations across deposit types, but also complexities of fractionation within given deposits.
Anti-CD44-Conjugated Olive Oil Liquid Nanocapsules for Targeting Pancreatic Cancer Stem Cells
Creators: name: Navarro-Marchal, Saul A.
name: Grinan-Lisan, Carmen
name: Entrena, Jose Manuel
name: Ruiz-Alcala, Gloria
name: Tristan-Manzano, Maria
name: Martin, Francisco
name: Perez-Victoria, Ignacio
name: Peula-Garcia, Jose Manuel
name: Marchal, Juan Antonio
Publisher: name: arXiv
Year: 2024
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: The latest trends in cancer research and nanomedicine focus on using nanocarriers to target cancer stem cells (CSCs). Specifically, lipid liquid nanocapsules are usually developed as nanocarriers for lipophilic drug delivery. Here, we developed olive oil liquid NCs (O2LNCs) functionalized by covalent coupling of an anti-CD44-fluorescein isothiocyanate antibody (αCD44). First, O2LNCs are formed by a core of olive oil surrounded by a shell containing phospholipids, a nonionic surfactant, and deoxycholic acid molecules. Then, O2LNCs were coated with an αCD44 antibody (αCD44-O2LNC). The optimization of an αCD44 coating procedure, a complete physicochemical characterization, as well as clear evidence of their efficacy in vitro and in vivo were demonstrated. Our results indicate the high targeted uptake of these αCD44-O2LNCs, and the increased antitumor efficacy (up to four times) of paclitaxel-loaded-αCD44-O2LNC compared to free paclitaxel in pancreatic CSCs (PCSCs). Also, αCD44-O2LNCs were able to selectively target PCSCs in an orthotopic xenotransplant in vivo model.
description: 16 pages, 4 figures, 1 table
Magnetic black holes within Einstein-AdS gravity coupled to nonlinear electrodynamics, extended phase space thermodynamics and Joule-Thomson expansion
Creators: name: Kruglov, S. I.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: Einstein's gravity in AdS space coupled to nonlinear electrodynamics is studied. We analyse the metric, mass functions and corrections to the Reissner-Nordstrom solution. Magnetic black holes thermodynamics in extended phase space is investigated. We formulate the first law of black hole thermodynamics showing that the generalized Smarr relation holds. The black hole stability is studied by evaluating the Gibbs free energy and heat capacity. To study the cooling and heating phase transitions of black holes we consider the Joule--Thomson isenthalpic expansion. The Joule--Thomson coefficient and the inversion temperature are calculated.
description: 28 pages, 10 figures
Entanglement and extreme planar spin squeezing
Creators: name: Vitagliano, Giuseppe
name: Colangelo, Giorgio
name: Ciurana, Ferran Martin
name: Mitchell, Morgan W.
name: Sewell, Robert J.
name: Tóth, Géza
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce an entanglement-depth criterion optimized for planar quantum squeezed (PQS) states. It is connected with the sensitivity of such states for estimating an arbitrary, not necessarily small phase. We compare numerically our criterion with the well-known extreme spin squeezing condition of Sørensen and Mølmer [Phys. Rev. Lett. 86, 4431 (2001)] and show that our condition detects a higher depth of entanglement when both planar spin variances are squeezed below the standard quantum limit. We employ our theory to monitor the entanglement dynamics in a PQS state produced via quantum non-demolition (QND) measurements using data from a recent experiment [Phys. Rev. Lett. 118, 233603 (2017)].
Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities
Creators: name: Wianto, E.
name: Toba, H.
name: Malinda, M.
name: Chen, Chien-Hsu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: H.1.2

description: Maintaining a high quality of life through physical activities (PA) to prevent health decline is crucial. However, the relationship between individuals health status, PA preferences, and motion factors is complex. PA discussions consistently show a positive correlation with healthy aging experiences, but no explicit relation to specific types of musculoskeletal exercises. Taking advantage of the increasingly widespread existence of smartphones, especially in Indonesia, this research utilizes embedded sensors for Human Activity Recognition (HAR). Based on 25 participants data, performing nine types of selected motion, this study has successfully identified important sensor attributes that play important roles in the right and left hands for muscle strength motions as the basis for developing machine learning models with the LSTM algorithm.
description: 9 pages, 4 figures, AHFE International Conference on Human Factors in Design, Engineering, and Computing
Fourier interpolation on the real line
Creators: name: Radchenko, Danylo
name: Viazovska, Maryna
Publisher: name: arXiv
Year: 2017
Subjects: subject: Number Theory (math.NT)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: We use weakly holomorphic modular forms for the Hecke theta group to construct an explicit interpolation formula for Schwartz functions on the real line. The formula expresses the value of a function at any given point in terms of the values of the function and its Fourier transform on the set $\{0, \pm\sqrt{1}, \pm\sqrt{2}, \pm\sqrt{3},\dots\}$.
Transduction of an immortalized olfactory ensheathing glia cell line with the green fluorescent protein (GFP) gene: evaluation of its neuroregenerative capacity as a proof of concept
Creators: name: Plaza, N
name: Simón, D
name: Sierra, J
name: Moreno-Flores, MT
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cell Behavior (q-bio.CB)
subject: FOS: Biological sciences

description: Olfactory ensheathing glia (OEG) cells are known to foster axonal regeneration of central nervous system (CNS) neurons. Several lines of reversibly immortalized human OEG (ihOEG) have been previously established that enabled to develop models for their validation in vitro and in vivo. In this work, a constitutively GFP-expressing ihOEG cell line was obtained, and named Ts14-GFP. Ts14-GFP neuroregenerative ability was similar to that found for the parental line Ts14 and it can be assayed using in vivo transplantation experimental paradigms, after spinal cord or optic nerve damage. Additionally, we have engineered a low-regenerative ihOEG line, hTL2, using lentiviral transduction of the large T antigen from SV40 virus, denominated from now on Ts12. Ts12 can be used as a low regeneration control in these experiments.
description: 22 pages, 3 Figures
Particle dynamics and shadow of a regular non-minimal magnetic black hole
Creators: name: Al-Badawi, Ahmad
name: Owaidat, M. Q.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper, we study the dynamics of a test particle around a regular black hole (BH) in a non-minimal Einstein Yang Mills (EYM) theory and examine the BH shadow. The EYM theory is a non-minimally coupled theory in which curvature couples to non-Abelian gauge fields. We investigate particle motion with parameters in EYM BH for massless and massive particles. This work provides the horizon structure, photon radius and inner stable circular orbit (ISCO) of a mass particle with EYM BH parameters. An analysis is provided of the effective potential as well as the possible orbits for test particles under various EYM BH parameters values. In timelike radial geodesics, we find that for smaller values of magnetic charge, particles following a timelike radial geodesic are hastier in EYM BH, and hence arrive at the center faster than those traveling a Schwarzschild BH geodesic. However, at larger values of the magnetic charge, the inverse effect is observed. The effect of model parameters is investigated in order to study the ISCO, photon radius, orbit stability (Lyapunov exponent), and effective force on particles for the BH in the EYM theory. Finally, we investigate the BH shadow. We find that higher magnetic charge values and non-minimal coupling parameters result in smaller shadow radius values.
Weyl fermions in a family of Gödel-type geometries with a topological defect
Creators: name: Garcia, G. Q.
name: Oliveira, J. R. de S.
name: Furtado, Claudio
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper we study Weyl fermions in a family of Gödel-type geometries in Einstein general relativity. We also consider that these solutions are embedded in a topological defect background. We solve the Weyl equation and find the energy eigenvalues and eigenspinors for all three cases of Gödel-type geometries where a topological defect is passing through them. We show that the presence of a topological in these geometries contributes to modification of the spectrum of energy. The energy zero modes for all three cases of the Gödel geometries are discussed.
description: 19 pages. Revised version accepted for publication in IJMPD
Chaotic Encryption for 10-Gb Ethernet Optical Links
Creators: name: Pérez-Resa, Adrián
name: Garcia-Bosque, Miguel
name: Sánchez-Azqueta, Carlos
name: Celma, Santiago
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, a new physical layer encryption method for optical 10-Gb Ethernet links is proposed. Necessary modifications to introduce encryption in Ethernet 10GBase-R standard have been considered. This security enhancement has consisted of a symmetric streaming encryption of the 64b/66b data flow at physical coding sublayer level thanks to two keystream generators based on a chaotic algorithm. The overall system has been implemented and tested in a field programmable gate array. Ethernet traffic has been encrypted, transmitted, and decrypted over a multimode optical link. Experimental results are analyzed concluding that it is possible to cipher traffic at this level and hide the complete Ethernet traffic pattern from any passive eavesdropper. In addition, no overhead is introduced during encryption, getting no losses in the total throughput.
Algorithmic transformation of multi-loop master integrals to a canonical basis with CANONICA
Creators: name: Meyer, Christoph
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The integration of differential equations of Feynman integrals can be greatly facilitated by using a canonical basis. This paper presents the Mathematica package CANONICA, which implements a recently developed algorithm to automatize the transformation to a canonical basis. This represents the first publicly available implementation suitable for differential equations depending on multiple scales. In addition to the presentation of the package, this paper extends the description of some aspects of the algorithm, including a proof of the uniqueness of canonical forms up to constant transformations.
description: CANONICA can be obtained with git clone https://github.com/christophmeyer/CANONICA.git or at https://github.com/christophmeyer/CANONICA/archive/v1.0.tar.gz
appendixPaper.pdf from The ensemble of gene regulatory networks at mutation–selection balance
Creators: name: Yang, Chia-Hung
name: Scarpino, Samuel V.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Computational Biology
subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: The evolution of diverse phenotypes both involves and is constrained by molecular interaction networks. When these networks influence patterns of expression, we refer to them as gene regulatory networks (GRNs). Here, we develop a model of GRN evolution analogous to work from quasi-species theory, which is itself essentially the mutation–selection balance model from classical population genetics extended to multiple loci. With this GRN model, we prove that—across a broad spectrum of selection pressures—the dynamics converge to a stationary distribution over GRNs. Next, we show from first principles how the frequency of GRNs at equilibrium is related to the topology of the genotype network, in particular, via a specific network centrality measure termed the eigenvector centrality. Finally, we determine the structural characteristics of GRNs that are favoured in response to a range of selective environments and mutational constraints. Our work connects GRN evolution to quasi-species theory—and thus to classical populations genetics—providing a mechanistic explanation for the observed distribution of GRNs evolving in response to various evolutionary forces, and shows how complex fitness landscapes can emerge from simple evolutionary rules.
The Solar Photovoltaic (PV) Potential of Urban Rooftops and Parking Lots
Creators: name: Sui, Jiyuan
Publisher: name: Carnegie Mellon University
Year: 2023
Subjects: Building Science and Techniques

description: Substituting unsustainable fossil fuels with renewable energy sources represents a viable strategy to mitigate a wide range of environmental challenges. Urban rooftops and parking lots, owing to their expansive surface area, exhibit substantial potential for producing renewable energy via PV systems. The thesis puts forth a comprehensive and meticulous approach for evaluating the energy and carbon advantages of staged PV systems over the rooftops and parking lots in urban settings. The proposed method is intended to be utilized by public, utility, and private sectors in urban areas, such as Pittsburgh, to determine the feasibility of investments in this area. Alongside the methodology for quantification, a dashboard was developed to present a visual representation of the prioritized locations for PV installations, as well as the potential benefits of PV technology for policymakers, building proprietors, and community leaders.
Many-body quantum state tomography with neural networks
Creators: name: Torlai, Giacomo
name: Mazzola, Guglielmo
name: Carrasquilla, Juan
name: Troyer, Matthias
name: Melko, Roger
name: Carleo, Giuseppe
Publisher: name: arXiv
Year: 2017
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Computational Physics (physics.comp-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The experimental realization of increasingly complex synthetic quantum systems calls for the development of general theoretical methods, to validate and fully exploit quantum resources. Quantum-state tomography (QST) aims at reconstructing the full quantum state from simple measurements, and therefore provides a key tool to obtain reliable analytics. Brute-force approaches to QST, however, demand resources growing exponentially with the number of constituents, making it unfeasible except for small systems. Here we show that machine learning techniques can be efficiently used for QST of highly-entangled states, in both one and two dimensions. Remarkably, the resulting approach allows one to reconstruct traditionally challenging many-body quantities - such as the entanglement entropy - from simple, experimentally accessible measurements. This approach can benefit existing and future generations of devices ranging from quantum computers to ultra-cold atom quantum simulators.
description: Update version and method, now discussing how to reconstruct the complex amplitudes of the wave function
Can Isotopologues Be Used as Biosignature Gases in Exoplanet Atmospheres?
Creators: name: Glidden, Ana
name: Seager, Sara
name: Petkowski, Janusz J.
name: Ono, Shuhei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Isotopologue ratios are anticipated to be one of the most promising signs of life that can be observed remotely. On Earth, carbon isotopes have been used for decades as evidence of modern and early metabolic processes. In fact, carbon isotopes may be the oldest evidence for life on Earth, though there are alternative geological processes that can lead to the same magnitude of fractionation. However, using isotopologues as biosignature gases in exoplanet atmospheres presents several challenges. Most significantly, we will only have limited knowledge of the underlying abiotic carbon reservoir of an exoplanet. Atmospheric carbon isotope ratios will thus have to be compared against the local interstellar medium or, better yet, their host star. A further substantial complication is the limited precision of remote atmospheric measurements using spectroscopy. The various metabolic processes which cause isotope fractionation cause less fractionation than anticipated measurement precision (biological fractionation is typically 2 to 7%). While this level of precision is easily reachable in the laboratory or with special in situ instruments, it is out of reach of current telescope technology to measure isotope ratios for terrestrial exoplanet atmospheres. Thus, gas isotopologues are poor biosignatures for exoplanets given our current and foreseeable technological limitations.
description: 16 pages, 4 figures. Published in Life on December 11, 2023. The final authenticated version is available online at: https://www.mdpi.com/2075-1729/13/12/2325
Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks
Creators: name: Falkenberg, Robert
name: Ide, Christoph
name: Wietfeld, Christian
Publisher: name: arXiv
Year: 2017
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Advanced Cyber-Physical Systems aim for the balancing of restricted local resources of deeply embedded systems with cloud-based resources depending on the availability of network connectivity: in case of excellent connectivity, the offloading of large amounts of data can be more efficient than the local processing on a resource-constraint platform, while this latter solution is preferred in case of limited connectivity. This paper proposes a Client-Based Control Channel Analysis for Connectivity Estimation (C3ACE), a new passive probing mechanism to enable the client-side to estimate the connection quality of 4G networks in range. The results show that by observing and analyzing the control traffic in real-time, the number of active user equipment in a cell can be determined with surprising accuracy (with errors well below 10e-6). The specific challenge addressed in this paper lies in a dedicated filtering and validation of the DCI (Downlink Control Information). In a subsequent step the data rates to be expected can be estimated in order to enable decision about the choice of network and the timing of the data offloading to the cloud. The proposed methods have been implemented and validated leveraging the SDR OpenAirInterface, a real-life LTE network and a distributed load generator producing a scalable network traffic by a number of LTE User Equipment.
Experimental certification of millions of genuinely entangled atoms in a solid
Creators: name: Fröwis, Florian
name: Strassmann, Peter C.
name: Tiranov, Alexey
name: Gut, Corentin
name: Lavoie, Jonathan
name: Brunner, Nicolas
name: Bussières, Félix
name: Afzelius, Mikael
name: Gisin, Nicolas
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Quantum theory predicts that entanglement can also persist in macroscopic physical systems, albeit difficulties to demonstrate it experimentally remain. Recently, significant progress has been achieved and genuine entanglement between up to 2900 atoms was reported. Here we demonstrate 16 million genuinely entangled atoms in a solid-state quantum memory prepared by the heralded absorption of a single photon. We develop an entanglement witness for quantifying the number of genuinely entangled particles based on the collective effect of directed emission combined with the nonclassical nature of the emitted light. The method is applicable to a wide range of physical systems and is effective even in situations with significant losses. Our results clarify the role of multipartite entanglement in ensemble-based quantum memories as a necessary prerequisite to achieve a high single-photon process fidelity crucial for future quantum networks. On a more fundamental level, our results reveal the robustness of certain classes of multipartite entangled states, contrary to, e.g., Schrödinger-cat states, and that the depth of entanglement can be experimentally certified at unprecedented scales.
description: 11 pages incl. Methods and Suppl. Info., 4 figures, 1 table. v2: close to published version. See also parallel submission by Zarkeshian et al (1703.04709)
appendixPaper.pdf from The ensemble of gene regulatory networks at mutation-selection balance
Creators: name: Yang, Chia-Hung
name: Scarpino, Samuel V.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Computational Biology
subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: The evolution of diverse phenotypes both involves and is constrained by molecular interaction networks. When these networks influence patterns of expression, we refer to them as gene regulatory networks (GRNs). Here, we develop a model of GRN evolution analogous to work from quasi-species theory, which is itself essentially the mutation-selection balance model from classical population genetics extended to multiple loci. With this GRN model, we prove that—across a broad spectrum of selection pressures—the dynamics converge to a stationary distribution over GRNs. Next, we show from first principles how the frequency of GRNs at equilibrium is related to the topology of the genotype network, in particular, via a specific network centrality measure termed the eigenvector centrality. Finally, we determine the structural characteristics of GRNs that are favoured in response to a range of selective environments and mutational constraints. Our work connects GRN evolution to quasi-species theory—and thus to classical populations genetics—providing a mechanistic explanation for the observed distribution of GRNs evolving in response to various evolutionary forces, and shows how complex fitness landscapes can emerge from simple evolutionary rules.
Technical appendix from The ensemble of gene regulatory networks at mutation–selection balance
Creators: name: Yang, Chia-Hung
name: Scarpino, Samuel V.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Computational Biology
subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: Technical appendix containing: i.) the mathematical description of the pathway framework, ii.) formal definition of neutral networks of GRNs, iii.) additional details on the structural features of GRNs, iv.) convergence for non-symmetric transition matrices, v.) convergence rate derivation of the stationary distribution of GRNs, vi.) supplementary figures 6, 7, and 8 with additional model validation results
Clustering in Hilbert simplex geometry
Creators: name: Nielsen, Frank
name: Sun, Ke
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Clustering categorical distributions in the finite-dimensional probability simplex is a fundamental task met in many applications dealing with normalized histograms. Traditionally, the differential-geometric structures of the probability simplex have been used either by (i) setting the Riemannian metric tensor to the Fisher information matrix of the categorical distributions, or (ii) defining the dualistic information-geometric structure induced by a smooth dissimilarity measure, the Kullback-Leibler divergence. In this work, we introduce for clustering tasks a novel computationally-friendly framework for modeling geometrically the probability simplex: The {\em Hilbert simplex geometry}. In the Hilbert simplex geometry, the distance is the non-separable Hilbert's metric distance which satisfies the property of information monotonicity with distance level set functions described by polytope boundaries. We show that both the Aitchison and Hilbert simplex distances are norm distances on normalized logarithmic representations with respect to the $\ell_2$ and variation norms, respectively. We discuss the pros and cons of those different statistical modelings, and benchmark experimentally these different kind of geometries for center-based $k$-means and $k$-center clustering. Furthermore, since a canonical Hilbert distance can be defined on any bounded convex subset of the Euclidean space, we also consider Hilbert's geometry of the elliptope of correlation matrices and study its clustering performances compared to Fröbenius and log-det divergences.
description: 48 pages
Technical appendix from The ensemble of gene regulatory networks at mutation-selection balance
Creators: name: Yang, Chia-Hung
name: Scarpino, Samuel V.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Computational Biology
subject: 10202 Biological Mathematics
subject: FOS: Mathematics

description: Technical appendix containing: i.) the mathematical description of the pathway framework, ii.) formal definition of neutral networks of GRNs, iii.) additional details on the structural features of GRNs, iv.) convergence for non-symmetric transition matrices, v.) convergence rate derivation of the stationary distribution of GRNs, vi.) supplementary figures 6, 7, and 8 with additional model validation results
Analysis of Energy and QUadratic Invariant Preserving (EQUIP) methods
Creators: name: Brugnano, Luigi
name: Gurioli, Gianmarco
name: Iavernaro, Felice
Publisher: name: arXiv
Year: 2017
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65P10, 65L05

description: In this paper we are concerned with the analysis of a class of geometric integrators, at first devised in [14, 18], which can be regarded as an energy-conserving variant of Gauss collocation methods. With these latter they share the property of conserving quadratic first integrals but, in addition, they also conserve the Hamiltonian function itself. We here reformulate the methods in a more convenient way, and propose a more refined analysis than that given in [18] also providing, as a by-product, a practical procedure for their implementation. A thorough comparison with the original Gauss methods is carried out by means of a few numerical tests solving Hamiltonian and Poisson problems.
description: 28 pages, 2 figures, 4 tables
Unifying vectors and matrices of different dimensions through nonlinear embeddings
Creators: name: García-Morales, Vladimir
Publisher: name: arXiv
Year: 2017
Subjects: subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: Mathematical Physics (math-ph)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Complex systems may morph between structures with different dimensionality and degrees of freedom. As a tool for their modelling, nonlinear embeddings are introduced that encompass objects with different dimensionality as a continuous parameter $κ\in \mathbb{R}$ is being varied, thus allowing the unification of vectors, matrices and tensors in single mathematical structures. This technique is applied to construct warped models in the passage from supergravity in 10 or 11-dimensional spacetimes to 4-dimensional ones. We also show how nonlinear embeddings can be used to connect cellular automata (CAs) to coupled map lattices (CMLs) and to nonlinear partial differential equations, deriving a class of nonlinear diffusion equations. Finally, by means of nonlinear embeddings we introduce CA connections, a class of CMLs that connect any two arbitrary CAs in the limits $κ\to 0$ and $κ\to \infty$ of the embedding.
description: 30 pages, 5 figures, accepted to Journal of Physics: Complexity
LACTANCIA Y NUTRICIÓN MATERNA
Creators: name: Nivelo Andrade, Daysi Aracely
name: Nivelo Andrade, Lenin Angel
Publisher: name: Zenodo-HGOIA
Year: 2024

description: La lactancia materna,  según la OMS es la mejor forma de alimentar a los recién nacidos y lactantes al proporcionar los nutrientes necesarios, de formaequilibrada. Protege al bebé de problemas como la obesidad y diabetes tipo II(1) y alergias. En la madre, disminuye el sangrado post-parto, favorece lainvolución uterina , disminuye el riesgos de cáncer de mama, ovario y protege de enfermedades cardiovasculares.

La lactancia materna debe iniciarse dentro de la primera hora de vida, si la madre y el recién nacido se encuentren en condiciones óptimas, independientemente deltipo de parto. Aunque las reservas nutricionales de la madre pueden estar disminuidas por el embarazo y la pérdida sanguínea durante el parto, la lechematerna sigue priorizando al lactante.
Ensifentrine: First Approval
Creators: name: Keam, Susan J.
Publisher: name: Adis Journals
Year: 2024
Subjects: Medicine

description: Declarations
Funding The preparation of this review was not supported by any external funding.
Authorship and Conflict of interest During the peer review process the manufacturer of the agent under review was offered an opportunity to comment on the article. Changes resulting from any comments received were made by the authors on the basis of scientific completeness and accuracy. Susan J. Keam is a contracted employee of Adis International Ltd/Springer Nature, and declares no relevant conflicts of interest. All authors contributed to this article and are responsible for its content.
Ethics approval, Consent to participate, Consent to publish, Availability of data and material, Code availability not applicable
Additional information about this Adis Drug Review can be found here.
Abstract
Ensifentrine, an inhaled, selective phosphodiesterase (PDE) 3 and PDE4 inhibitor, is being developed by Verona Pharma plc for the treatment of respiratory diseases, including chronic obstructive pulmonary disease (COPD). In June 2024, ensifentrine (OHTUVAYRE™) inhalation suspension was approved for the maintenance treatment of COPD in adult patients in the USA. This article summarizes the milestones in the development of ensifentrine leading to this first approval for the maintenance treatment of COPD. 
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