cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
ACA CO(J=2-1) Mapping of the Nearest Spiral Galaxy M33. II. Exploring the Evolution of Giant Molecular Clouds
Creators: name: Konishi, Ayu
name: Muraoka, Kazuyuki
name: Tokuda, Kazuki
name: Fujita, Shinji
name: Fukui, Yasuo
name: Yamada, Rin I.
name: Demachi, Fumika
name: Tachihara, Kengo
name: Kobayashi, Masato I. N.
name: Kuno, Nario
name: Tsuge, Kisetsu
name: Sano, Hidetoshi
name: Miura, Rie E.
name: Kawamura, Akiko
name: Onishi, Toshikazu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The evolution of giant molecular clouds (GMCs), the main sites of high-mass star formation, is an essential process to unravel the galaxy evolution. Using a GMC catalogue of M33 from ALMA-ACA survey, we classified 848 GMCs into three types based on the association with HII regions and their H$α$ luminosities $\textit{L}$(H$α$): Type I is associated with no HII regions; Type II with HII regions of $\textit{L}$(H$α$) $<$ 10$^{37.5}$ erg s$^{-1}$; and Type III with HII regions of $\textit{L}$(H$α$) $\geqq$ 10$^{37.5}$ erg s$^{-1}$. These criteria yield 224 Type I GMCs, 473 Type II GMCs, and 151 Type III GMCs. GMCs show changes in their physical properties according to the types; mass, radius, velocity dispersion, and $^{13}$CO detection rate of GMCs systematically increase from Type I to Type III, and additionally, Type III GMCs are closest to virial equilibrium. Type III GMCs show the highest spatial correlation with clusters younger than 10 Myr, Type II GMCs moderate correlation, and Type I GMCs are almost uncorrelated. We interpret that these types indicate an evolutionary sequence from Type I to Type II, and then to Type III with timescales of 4 Myr, 13 Myr, and 5 Myr, respectively, indicating the GMC lifetime of 22 Myr by assuming that Type II GMC has the same timescale as the Large Magellanic Cloud. The evolved GMCs concentrate on the spiral arms, while the younger GMCs are apart from the arm both to the leading and trailing sides. This indicated that GMCs collide with each other by the spiral potential, leading to the compression of GMCs and the triggering of high-mass star formation, which may support the dynamic spiral model. Overall, we suggest that the GMC evolution concept helps illuminate the galaxy evolution, including the spiral arm formation.
description: 29 pages, 23 figures, 5 Tables, accepted for publication in PASJ
Prevalence of cervical, oral and anal Human papillomavirus (HPV) infection in women
Creators: name: Ciccarese, Giulia
name: Herzum, Astrid
name: Drago, Francesco
name: Pastorino, Angela
name: Dezzana, Marih
name: Mavilia, Maria Gabriella
name: Copello, Francesco
name: Parodi, Aurora
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Human papillomavirus (HPV) infection is the most common sexually transmitted infection worldwide. In women with genital infection, the virus can be transmitted by sex to the oral cavity of their partners and then to their own oral cavity. This study aims to establish the prevalence of cervical/anal/oral HPV infection in women attending the Dermatology Unit of the Policlinico San Martino, Genoa, Italy. Between January 2016 and December 2018, the female patients attending the sexually transmitted infections (STI) center and those requiring a full body skin examination for skin cancer screening were recruited. Cervical, anal, oral samples were collected with ThinPrep liquid based cytology preparation system: polymerase chain reaction (PCR) for HPV and cytological evaluation were performed. Overall, 85 STI clinic attendees and 31 “supposed” healthy patients were recruited. Cervical HPV was detected in 60% of the STI patients and 48% of the healthy subjects. In the anal region, 44% of the STI patients and 26% of the healthy population were HPV positive. Cervical and anal HPV infection resulted significantly associated. Moreover, 32% of the STI patients and 29% of the healthy population proved HPV positive in the oral cavity. Surprisingly, in the STI women of our series, prevalence of cervical/anal/oral HPV infection was only slightly higher than in the “presumed” healthy population. The high prevalence of anal-oral infections and the frequent association between anal and cervical infections, provide reason to suggest HPV screening also in the anal and oral regions, which may represent HPV reservoirs and grounds for cancer development.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 3 (2022): 2022633
Robust thin-plate splines for multivariate spatial smoothing
Creators: name: Kalogridis, Ioannis
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: We propose a novel family of multivariate robust smoothers based on the thin-plate (Sobolev) penalty that is particularly suitable for the analysis of spatial data. The proposed family of estimators can be expediently computed even in high dimensions, is invariant with respect to rigid transformations of the coordinate axes and can be shown to possess optimal theoretical properties under mild assumptions. The competitive performance of the proposed thin-plate spline estimators relative to its non-robust counterpart is illustrated in a simulation study and a real data example involving two-dimensional geographical data on ozone concentration.
MultivariateResidues: a Mathematica package for computing multivariate residues
Creators: name: Larsen, Kasper J.
name: Rietkerk, Robbert
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Algebraic Geometry (math.AG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Multivariate residues appear in many different contexts in theoretical physics and algebraic geometry. In theoretical physics, they for example give the proper definition of generalized-unitarity cuts, and they play a central role in the Grassmannian formulation of the S-matrix by Arkani-Hamed et al. In realistic cases their evaluation can be non-trivial. In this paper we provide a Mathematica package for efficient evaluation of multidimensional residues based on methods from computational algebraic geometry. The package moreover contains an implementation of the global residue theorem, which produces relations between residues at finite locations and residues at infinity.
description: 43 pages, 4 figures. Application to Cachazo-He-Yuan scattering equations added; journal version. The package MultivariateResidues can be downloaded from https://bitbucket.org/kjlarsen/multivariateresidues/raw/master/release/MultivariateResidues.zip
Probing collectivity in heavy-ion collisions with fluctuations of the $p_T$ spectrum
Creators: name: Parida, Tribhuban
name: Samanta, Rupam
name: Ollitrault, Jean-Yves
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Event-by-event fluctuations in the initial stages of ultrarelativistic nucleus-nucleus collisions depend little on rapidity. The hydrodynamic expansion which occurs in later stages then gives rise to correlations among outgoing particles which depend weakly on their relative rapidity. Azimuthal correlations, through which anisotropic flow ($v_n(p_T)$) is defined, have been the most studied. Here we study a new observable introduced in 2020 by Schenke, Shen and Teaney and dubbed $v_0(p_T)$, which quantifies the relative change in the $p_T$ spectrum induced by a fluctuation. We describe how it can be measured. Using hydrodynamic simulations, we make quantitative predictions for $v_0(p_T)$ of charged and identified hadrons. We then discuss how $v_0(p_T)$ relates to two phenomena which have been measured: The increase of the mean transverse momentum in ultracentral collisions, and the event-by-event fluctuations of the transverse momentum per particle $[ p_T]$. We show that $v_0(p_T)$ determines the dependence of these quantities on the $p_T$ cuts implemented in the analysis. We quantitatively explain the rise of $σ_{p_T}$ observed by ATLAS as the upper $p_T$-cut is increased from $2$ to $5$~GeV/$c$.
description: 5 figures
Holographic Consciousness
Creators: name: Chatterjee, Dristi
Publisher: name: Zenodo
Year: 2025

description:  The nature of consciousness remains an open question at the intersection of physics, neuroscience, and information theory. This paper proposes a formalized framework where consciousness is conceptualized as an encoded energy wave trapped within a holographic universe. By synthesizing the holographic principle, quantum entanglement, computational physics, and neuroscientific models, we develop a mathematical description that treats consciousness as an information-processing field structured by energy dynamics within a material medium. The research introduces an interdisciplinary model that connects brain wave dynamics, quantum coherence, and optical information storage in biophotonic systems. We propose testable predictions and implications for future quantum-based cognitive models

 

AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.
title: Addressing the Gaps: Pain Management, Multimodal Analgesia, and CRNA Education
Creators: name: Niemeyer, Hunter
Publisher: name: Digital Commons@Becker, Barnes Jewish College Goldfarb School of Nursing
Year: 2023
Subjects: classificationCode: 3
subject: FOS: Medical and health sciences

description: Background and Review of Literature: Opioid consumption, addiction, and narcotic-related deaths are a prevalent public health issue in the United States. Opioids are often administered throughout the perioperative period, and their utilization can lead to unwanted side effects and negative patient outcomes. Certified Registered Nurse Anesthetists (CRNAs) are strategically placed in hospital systems; these clinicians may advocate for the responsible administration of opioids and utilize multimodal pain strategies.
Purpose: This project assessed the knowledge and attitudes of CRNAs before and after the implementation of an educational program based on the prevention of operative pain, multimodal approaches, and the perioperative use of opioid versus nonopioid medications. The goal was to improve the integration and utilization of multimodal analgesia among CRNAs.
Methods: Pre- and post-surveys were used to examine the knowledge and attitudes on perioperative pain management and multimodal analgesia. Both quantitative and qualitative data was collected.
Implementation/Procedure: A virtual educational program was carried out in October 2021. During this time, pre- and initial post-survey data was collected. Approximately two weeks later, in November 2021, an additional post-survey was implemented.
Implications/Conclusion: The knowledge of CRNAs significantly improved after the implementation of the educational program; moreover, CRNAs were more likely to incorporate multimodal analgesia into their practice after undergoing the education. Multiple barriers to the utilization of multimodal analgesia were identified. This project demonstrates an increased need for multimodal analgesia education and nonopioid optimization in the perioperative setting.
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
Creators: name: Chang, Chen-Chia
name: Shen, Yikang
name: Fan, Shaoze
name: Li, Jing
name: Zhang, Shun
name: Cao, Ningyuan
name: Chen, Yiran
name: Zhang, Xin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Hardware Architecture (cs.AR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In the realm of electronic and electrical engineering, automation of analog circuit is increasingly vital given the complexity and customized requirements of modern applications. However, existing methods only develop search-based algorithms that require many simulation iterations to design a custom circuit topology, which is usually a time-consuming process. To this end, we introduce LaMAGIC, a pioneering language model-based topology generation model that leverages supervised finetuning for automated analog circuit design. LaMAGIC can efficiently generate an optimized circuit design from the custom specification in a single pass. Our approach involves a meticulous development and analysis of various input and output formulations for circuit. These formulations can ensure canonical representations of circuits and align with the autoregressive nature of LMs to effectively addressing the challenges of representing analog circuits as graphs. The experimental results show that LaMAGIC achieves a success rate of up to 96\% under a strict tolerance of 0.01. We also examine the scalability and adaptability of LaMAGIC, specifically testing its performance on more complex circuits. Our findings reveal the enhanced effectiveness of our adjacency matrix-based circuit formulation with floating-point input, suggesting its suitability for handling intricate circuit designs. This research not only demonstrates the potential of language models in graph generation, but also builds a foundational framework for future explorations in automated analog circuit design.
description: Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6253-6262 https://proceedings.mlr.press/v235/chang24c.html
Holographic Consciousness
Creators: name: Chatterjee, Dristi
Publisher: name: Zenodo
Year: 2025

description:  The nature of consciousness remains an open question at the intersection of physics, neuroscience, and information theory. This paper proposes a formalized framework where consciousness is conceptualized as an encoded energy wave trapped within a holographic universe. By synthesizing the holographic principle, quantum entanglement, computational physics, and neuroscientific models, we develop a mathematical description that treats consciousness as an information-processing field structured by energy dynamics within a material medium. The research introduces an interdisciplinary model that connects brain wave dynamics, quantum coherence, and optical information storage in biophotonic systems. We propose testable predictions and implications for future quantum-based cognitive models
Cremona transformations and derived equivalences of K3 surfaces
Creators: name: Hassett, Brendan
name: Lai, Kuan-Wen
Publisher: name: arXiv
Year: 2016
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14E07, 14J28

description: We exhibit a Cremona transformation of ${\bf P}^4$ such that the base loci of the map and its inverse are birational to K3 surfaces. The two K3 surfaces are derived equivalent but not isomorphic to each other. As an application, we show that the difference of the two K3 surfaces annihilates the class of the affine line in the Grothendieck ring of varieties.
description: 29 pages. Published in Compositio Mathematica
Text-Region Matching for Multi-Label Image Recognition with Missing Labels
Creators: name: Ma, Leilei
name: Xie, Hongxing
name: Wang, Lei
name: Fu, Yanping
name: Sun, Dengdi
name: Zhao, Haifeng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Recently, large-scale visual language pre-trained (VLP) models have demonstrated impressive performance across various downstream tasks. Motivated by these advancements, pioneering efforts have emerged in multi-label image recognition with missing labels, leveraging VLP prompt-tuning technology. However, they usually cannot match text and vision features well, due to complicated semantics gaps and missing labels in a multi-label image. To tackle this challenge, we propose $\textbf{T}$ext-$\textbf{R}$egion $\textbf{M}$atching for optimizing $\textbf{M}$ulti-$\textbf{L}$abel prompt tuning, namely TRM-ML, a novel method for enhancing meaningful cross-modal matching. Compared to existing methods, we advocate exploring the information of category-aware regions rather than the entire image or pixels, which contributes to bridging the semantic gap between textual and visual representations in a one-to-one matching manner. Concurrently, we further introduce multimodal contrastive learning to narrow the semantic gap between textual and visual modalities and establish intra-class and inter-class relationships. Additionally, to deal with missing labels, we propose a multimodal category prototype that leverages intra- and inter-category semantic relationships to estimate unknown labels, facilitating pseudo-label generation. Extensive experiments on the MS-COCO, PASCAL VOC, Visual Genome, NUS-WIDE, and CUB-200-211 benchmark datasets demonstrate that our proposed framework outperforms the state-of-the-art methods by a significant margin. Our code is available here: https://github.com/yu-gi-oh-leilei/TRM-ML.
description: Accepted to ACM International Conference on Multimedia (ACM MM) 2024
Growth of entanglement of generic states under dual-unitary dynamics
Creators: name: Foligno, Alessandro
name: Bertini, Bruno
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Dual-unitary circuits are a class of locally-interacting quantum many-body systems displaying unitary dynamics also when the roles of space and time are exchanged. These systems have recently emerged as a remarkable framework where certain features of many-body quantum chaos can be studied exactly. In particular, they admit a class of ``solvable" initial states for which, in the thermodynamic limit, one can access the full non-equilibrium dynamics. This reveals a surprising property: when a dual-unitary circuit is prepared in a solvable state the quantum entanglement between two complementary spatial regions grows at the maximal speed allowed by the local structure of the evolution. Here we investigate the fate of this property when the system is prepared in a generic pair-product state. We show that in this case the entanglement increment during a time step is sub-maximal for finite times, however, it approaches the maximal value in the infinite-time limit. This statement is proven rigorously for dual-unitary circuits generating high enough entanglement, while it is argued to hold for the entire class.
description: 17 pages, 3 figures
A method for getting a finite $α$ in the IR region from an all-order beta function
Creators: name: Zheng, Zhi-Yuan
name: Zhou, Gao-Liang
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The analytical method of QCD running coupling constant is extended to a model with an all-order beta function which is inspired by the famous Novikov-Shifman-Vai\-n\-s\-htein-Zakharov beta function of N=1 supersymmetric gau\-g\-e theories. In the approach presented here, the running coupling is determined by a transcendental equation with non-elementary integral of the running scale $μ$. In our approach $α_{an}(0)$, which reads 0.30642, does not rely on any dimensional parameters. This is in accordance with results in the literature on the analytical method of QCD running coupling constant. The new "analytically im\-p\-roved" running coupling constant is also compatible with the property of asymptotic freedom.
description: 5 pages, 3 figures
Magnetic charge quantization from SYM considerations
Creators: name: Porforough, Milad
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: An intersecting D3-D3' system contains magnetic monopole solutions due to D- strings stretched between two branes. These magnetic charges satisfy the usual Dirac quantization relation. We show that this quantization condition can also be obtained directly by SUSY and gauge invariance arguments of the theory and conclude that the independence of physics from a shift of holonomy is exactly equivalent to regarding a {\it Fayet-Iliopoulos (FI) gauge} for our set-up. So we are led to conjecture that there is a correspondence between the topological point of view of magnetic charges and SYM considerations of their theories. This picture implies that one can attribute a definite quantity to the integration of the vector multiplet over the singular region such that we can identify it with magnetic flux. It also indicates that the FI parameter is proportional to the magnetic charge so it is a quantized number.
description: 11 pages, minor changes, published version
Generalizing Downsampling from Regular Data to Graphs
Creators: name: Bacciu, Davide
name: Conte, Alessio
name: Landolfi, Francesco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Downsampling produces coarsened, multi-resolution representations of data and it is used, for example, to produce lossy compression and visualization of large images, reduce computational costs, and boost deep neural representation learning. Unfortunately, due to their lack of a regular structure, there is still no consensus on how downsampling should apply to graphs and linked data. Indeed reductions in graph data are still needed for the goals described above, but reduction mechanisms do not have the same focus on preserving topological structures and properties, while allowing for resolution-tuning, as is the case in regular data downsampling. In this paper, we take a step in this direction, introducing a unifying interpretation of downsampling in regular and graph data. In particular, we define a graph coarsening mechanism which is a graph-structured counterpart of controllable equispaced coarsening mechanisms in regular data. We prove theoretical guarantees for distortion bounds on path lengths, as well as the ability to preserve key topological properties in the coarsened graphs. We leverage these concepts to define a graph pooling mechanism that we empirically assess in graph classification tasks, providing a greedy algorithm that allows efficient parallel implementation on GPUs, and showing that it compares favorably against pooling methods in literature.
description: Accepted at AAAI 2023; Extended version with proofs; 15 pages, 3 figures, 5 tables
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Creators: name: Kobayashi, Taisuke
name: Watanuki, Ryoma
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Extraction of low-dimensional latent space from high-dimensional observation data is essential to construct a real-time robot controller with a world model on the extracted latent space. However, there is no established method for tuning the dimension size of the latent space automatically, suffering from finding the necessary and sufficient dimension size, i.e. the minimal realization of the world model. In this study, we analyze and improve Tsallis-based variational autoencoder (q-VAE), and reveal that, under an appropriate configuration, it always facilitates making the latent space sparse. Even if the dimension size of the pre-specified latent space is redundant compared to the minimal realization, this sparsification collapses unnecessary dimensions, allowing for easy removal of them. We experimentally verified the benefits of the sparsification by the proposed method that it can easily find the necessary and sufficient six dimensions for a reaching task with a mobile manipulator that requires a six-dimensional state space. Moreover, by planning with such a minimal-realization world model learned in the extracted dimensions, the proposed method was able to exert a more optimal action sequence in real-time, reducing the reaching accomplishment time by around 20 %. The attached video is uploaded on youtube: https://youtu.be/-QjITrnxaRs
description: 28 pages, 17 figures
Monitoring influenza vaccination coverage among healthcare workers during Covid-19 pandemic: a three-year survey in a large University Hospital in North-West Italy
Creators: name: Ogliastro, Matilde
name: Borghesi, Riccardo
name: Costa, Elisabetta
name: Fiorano, Andrea
name: Massaro, Elvira
name: Sticchi, Laura
name: Tisa, Valentino
name: Durando, Paolo
name: Icardi, Giancarlo
name: Orsi, Andrea
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Introduction. Healthcare workers (HCWs) are one of the highest priority group recommended for seasonal influenza vaccination (SIV). A greater awareness of influenza vaccination importance among HCWs was observed after the arrival of Covid-19 pandemic. The aim of this study was to analyze SIV coverage rate in the 2019-2020, 2020-2021 and 2021-2022 seasons among HCWs employed within the IRCCS Ospedale Policlinico San Martino in Genoa, in order to observe how acceptance has changed before and during Covid-19 pandemic. Methods. The vaccinated population was stratified by gender, age, job and area and the characteristics of vaccinated HCWs was analyzed. Results. The observed SIV coverage was below the recommended target for all seasons, but a sharp increase was observed in the 2020/2021 (12.8%; 40.9%; 23% for 2019/2020, 2020/2021 and 2021/2022 season, respectively). There was an increase in the mean and median age in the 2020/2021 vaccination campaign (46.7 and 49, respectively), comparing to the 2019/2020 season (43.5 and 45 respectively). A higher proportion of vaccinated physician in the 2019/2020 and 2021/2022 season was found. The proportions of vaccinated females were constantly higher than vaccinated males. A higher representation of vaccinated subjects working in medical areas was observed, but over the three-years the most evident increase in proportion of vaccinees was found for subjects from the services area. Conclusions. This survey highlights the importance of studying the determinants that influenced vaccination adherence and how the Covid-19 pandemic has affected SIV coverage.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 3 (2022): 2022633
Few-body systems capture many-body physics: tensor network approach
Creators: name: Ran, Shi-Ju
name: Piga, Angelo
name: Peng, Cheng
name: Su, Gang
name: Lewenstein, Maciej
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Due to the presence of strong correlations, theoretical or experimental investigations of quantum many-body systems belong to the most challenging tasks in modern physics. Stimulated by tensor networks, we propose a scheme of constructing the few-body models that can be easily accessed by theoretical or experimental means, to accurately capture the ground-state properties of infinite many-body systems in higher dimensions. The general idea is to embed a small bulk of the infinite model in an "entanglement bath" so that the many-body effects can be faithfully mimicked. The approach we propose is efficient, simple, flexible, sign-problem-free, and it directly accesses the thermodynamic limit. The numerical results of the spin models on honeycomb and simple cubic lattices show that the ground-state properties including quantum phase transitions and the critical behaviors are accurately captured by only $\mathcal{O}(10)$ physical and bath sites. Moreover, since the few-body Hamiltonian only contains local interactions among a handful of sites, our work provides new ways of studying the many-body phenomena in the infinite strongly-correlated systems by mimicking them in the few-body experiments using cold atoms/ions, or developing novel quantum devices by utilizing the many-body features.
description: 15 pages, 8+5 figures
Algebra of operators in an AdS-Rindler wedge
Creators: name: Bahiru, Eyoab
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We discuss the algebra of operators in AdS-Rinlder wedge, particularly in AdS$_{5}$/CFT$_{4}$. We explicitly construct the algebra at $N=\infty$ limit and discuss its Type III$_{1}$ nature. We will consider $1/N$ corrections to the theory and using a novel way of renormalizing the area of Ryu-Takayanagi surface, describe how several divergences can be renormalized and the algebra becomes Type II$_{\infty}$. This will make it possible to associate a density matrix to any state in the Hilbert space and thus a von Neumann entropy.
description: 12 pages. Several comments are made to emphasis the novel method performed to renormalize the area of Ryu-Takayanagi surface. Some references added. Corresponds to the published version on JHEP
Supplementary document for Time- and frequency-domain characterization of a mid-infrared difference-frequency-generated frequency comb via two-photon detection and heterodyne detection - 6485073.pdf
Creators: name: Gabbrielli, Tecla
name: Insero, Giacomo
name: deregis, michele
name: Corrias, Nicola
name: Galli, Iacopo
name: Mazzotti, Davide
name: Bartolini, Paolo
name: Huh, Jeong
name: Cleff, Carsten
name: Kastner, Alexander
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Supplement 1
High-Throughput Condensed-Phase Hybrid Density Functional Theory for Large-Scale Finite-Gap Systems: The SeA Approach
Creators: name: Ko, Hsin-Yu
name: Andrade, Marcos F. Calegari
name: Sparrow, Zachary M.
name: Zhang, Ju-an
name: DiStasio, Robert A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: High-throughput DFT calculations are key to screening existing/novel materials, sampling potential energy surfaces, and generating quantum mechanical data for machine learning. By including a fraction of exact exchange (EXX), hybrid functionals reduce the self-interaction error in semi-local DFT and furnish a more accurate description of the underlying electronic structure, albeit at a high computational cost that often prohibits such high-throughput applications. To address this challenge, we have constructed SeA (SeA=SCDM+exx+ACE), a robust, accurate, and efficient framework for high-throughput condensed-phase hybrid DFT in the PWSCF module of Quantum ESPRESSO (QE) by combining: (1) the non-iterative selected columns of the density matrix (SCDM) orbital localization scheme, (2) a black-box and linear-scaling EXX algorithm (exx), and (3) adaptively compressed exchange (ACE). Across a diverse set of non-equilibrium (H$_2$O)$_{64}$ configurations (with densities spanning 0.4 g/cm$^3$$-$1.7 g/cm$^3$), SeA yields a one$-$two order-of-magnitude speedup (~8X$-$26X) in the overall time-to-solution compared to PWSCF(ACE) in QE (~78X$-$247X speedup compared to the conventional EXX implementation) and yields energies, ionic forces, and other properties with high fidelity. As a proof-of-principle high-throughput application, we trained a deep neural network (DNN) potential for ambient liquid water at the hybrid DFT level using SeA via an actively learned data set with ~8,700 (H$_2$O)$_{64}$ configurations. Using an out-of-sample set of (H$_2$O)$_{512}$ configurations (at non-ambient conditions), we confirmed the accuracy of this SeA-trained potential and showcased the capabilities of SeA by computing the ground-truth ionic forces in this challenging system containing > 1,500 atoms.
description: 23 pages, 5 figures, 3 tables
Long Term Photometric Variability in Kepler Full Frame Images: Magnetic Cycles of Sun-Like Stars
Creators: name: Montet, Benjamin T.
name: Tovar, Guadalupe
name: Foreman-Mackey, Daniel
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Photometry from the Kepler mission is optimized to detect small, short duration signals like planet transits at the expense of long-term trends. This long-term variability can be recovered in photometry from the Full Frame Images (FFIs), a set of calibration data collected approximately monthly during the Kepler mission. Here, we present f3, an open-source package to perform photometry on the Kepler FFIs in order to detect changes in the brightness of stars in the Kepler field of view over long time baselines. We apply this package to a sample of 4,000 Sun-like stars with measured rotation periods. We find $\approx 10\%$ of these targets have long-term variability in their observed flux. For the majority of targets we identify the luminosity variations are either correlated or anticorrelated with the short-term variability due to starspots on the stellar surface. We find a transition between anticorrelated (starspot-dominated) variability and correlated (facula-dominated) variability between rotation periods of 15 and 25 days, suggesting the transition between the two modes is complete for stars at the age of the Sun. We also identify a sample of stars with apparently complete cycles, as well as a collection of short-period binaries with extreme photometric variation over the Kepler mission.
description: 20 pages, 10 figures, ApJ accepted. Table 1 available in its entirely in the source code of this upload; code available at https://github.com/benmontet/f3
How long is a resilience event in a transmission system?: Metrics and models driven by utility data
Creators: name: Dobson, Ian
name: Ekisheva, Svetlana
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: Applications (stat.AP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We discuss ways to measure duration in a power transmission system resilience event by modeling outage and restore processes from utility data. We introduce novel Poisson process models that describe how resilience events progress and verify that they are typical using extensive outage data collected across North America. Some usual duration metrics show impractically high statistical variability, and we recommend new duration metrics that perform better. Moreover, the Poisson process models have parameters that can be estimated from observed network data under different weather conditions, and are promising new models of typical resilience events.
Exploring the effectiveness of the Green Pass Law as Public Health instrument to increase anti-COVID-19 vaccination in a sample of working-age adult population in the Palermo Metropolitan Area.
Creators: name: Costantino, Claudio
name: Bonaccorso, Nicole
name: Sciortino, Martina
name: D'azzo, Luciano
name: Carubia, Alessandro
name: Chifari, Daniela
name: Segreto, Daniela
name: Marchese, Donatella
name: Russo, Fabrizio
name: Graziano, Giorgio
name: Maida, Carmelo Massimo
name: Restivo, Vincenzo
name: Tramuto, Fabio
name: Vitale, Francesco
name: Mazzucco, Walter
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Counteracting vaccine hesitancy should be considered an absolute priority for Public Health Authorities. A correct health communication represents one of the best ways to increase adhesion to vaccination among hesitant population. In order to increase vaccination coverage rates against COVID-19, the Italian government has issued a legislative decree with a mandatory “Green pass” (GP) to access workplaces for some categories considered at risk. We conducted a cross-sectional study with the aim to highlight the factors associated with the anti-COVID-19 vaccine acceptance and to estimate the influenceof the introduction by law of the Green Pass (GP) on the adhesion to the COVID-19 vaccination campaign in a sample of individual accessing one of the main vaccination centres of the metropolitan area of Palermo, Italy. An anonymous and validated questionnaire was self-administered through the Google Documents® platform, between October 2021 and March 2022. Among the 467 subjects enrolled, 43.3% were influenced on their vaccination choice by the introduction of the GP. The multivariate analysis showed that among the respondents emerged contrasting feelings with a self-reported significantly higher sense of freedom(Adj-OR= 2.45, 95%CIs= 1.51-3.97, p-value: <0.001)but a lower sense of safety (Adj-OR= 0.19, 95%CIs= 0.12-0.29, p-value: <0.001)after vaccine administration. Our findings, in line with the available literature, suggest that the introduction of GP has led to a significant increase in the immunization rate and, together with an appropriate communicative approach, it could represent an effective strategy to counteract vaccine hesitancy.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 3 (2022): 2022633
Supplementary document for Time- and frequency-domain characterization of a mid-infrared difference-frequency-generated frequency comb via two-photon detection and heterodyne detection - 6485073.pdf
Creators: name: Gabbrielli, Tecla
name: Insero, Giacomo
name: deregis, michele
name: Corrias, Nicola
name: Galli, Iacopo
name: Mazzotti, Davide
name: Bartolini, Paolo
name: Huh, Jeong
name: Cleff, Carsten
name: Kastner, Alexander
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplement 1
Vector bundles over classifying spaces of p-local finite groups and Benson-Carlson duality
Creators: name: Cantarero, José
name: Castellana, Natàlia
name: Morales, Lola
Publisher: name: arXiv
Year: 2017
Subjects: subject: Algebraic Topology (math.AT)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 55R35 (Primary) 20C20, 20D20 (Secondary)

description: In this paper we obtain a description of the Grothendieck group of complex vector bundles over the classifying space of a p-local finite group in terms of representation rings of subgroups of its Sylow. We also prove a stable elements formula for generalized cohomological invariants of p-local finite groups, which is used to show the existence of unitary embeddings of p-local finite groups. Finally, we show that the augmentation map for the cochains of the classifying space of a p-local finite group is Gorenstein in the sense of Dwyer-Greenlees-Iyengar and obtain some consequences about the cohomology ring of these classifying spaces.
description: 23 pages, no figures. Small corrections
Aceite de oliva virgen extra y sus efectos sobre el sistema cardiovascular. Artículo monográfico.
Creators: name: Popescu Radu, Daniel
Publisher: name: Zenodo
Year: 2024

description: El aceite de oliva, un componente esencial de la dieta mediterránea destaca por ser la principal fuente de grasas en esta alimentación y por aportar componentes de alto valor nutricional. Más allá de su impacto en el perfil lipídico, el aceite de oliva también juega un papel importante en el control de los niveles de azúcar en la sangre y la presión arterial. Entre sus propiedades destacan sus efectos antioxidantes y antiinflamatorios, la reducción del riesgo de formación de trombos y la promoción de la vasodilatación, todos contribuyentes significativos a la salud cardiovascular. 

Estos efectos beneficiosos del aceite de oliva se deben principalmente a su alto contenido de grasas monoinsaturadas y micronutrientes, en particular los compuestos fenólicos. A nivel clínico, la mayoría de las evidencias sobre estos beneficios provienen de estudios observacionales, que han servido para reafirmar la posición del aceite de oliva como uno de los alimentos más beneficiosos para la salud humana. La variedad de ventajas que ofrece hace que sea un elemento indispensable en una dieta saludable y equilibrada
Simple and Rigorous Proof Method for the Security of Practical Quantum Key Distribution in the Single-Qubit Regime Using Mismatched Basis Measurements
Creators: name: Boyer, Michel
name: Brassard, Gilles
name: Godbout, Nicolas
name: Liss, Rotem
name: Virally, Stéphane
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Cryptography and Security (cs.CR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Quantum key distribution (QKD) protocols aim at allowing two parties to generate a secret shared key. While many QKD protocols have been proven unconditionally secure in theory, practical security analyses of experimental QKD implementations typically do not take into account all possible loopholes, and practical devices are still not fully characterized for obtaining tight and realistic key rates. We present a simple method of computing secure key rates for any practical implementation of discrete-variable QKD (which can also apply to measurement-device-independent QKD), initially in the single-qubit lossless regime, and we rigorously prove its unconditional security against any possible attack. We hope our method becomes one of the standard tools used for analysing, benchmarking, and standardizing all practical realizations of QKD.
description: 25 pages
Study of $e^{+}e^{-}\toηϕ$ via Initial State Radiation at Belle
Creators: name: The Belle Collaboration
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Using $980~fb^{-1}$ of data collected on and around the $Υ(nS)(n=1,2,3,4,5)$ resonances with the Belle detector at the KEKB collider, we measure the cross section of $e^{+}e^{-}\to ηϕ$ from threshold to $3.95~{\rm GeV}/c^{2}$ via initial-state radiation. From a multi-parameter fit assuming $ϕ(2170)$ exists in the $ηϕ$ final state according to previous measurement by BESIII, the resonant parameters of $ϕ(1680)$ are determined to be $m_{ϕ(1680)} = (1683 \pm 7 \pm 9)~{\rm MeV}/c^{2}$ (statistical and systematic errors, respectively), $Γ_{ϕ(1680)} = (149 \pm 12 \pm 13)~{\rm MeV}$ and, depending on the possible presence of interfering resonances, $Γ^{e^{+}e^{-}}_{ϕ(1680)}\cdot {\cal B}[ϕ(1680)\toηϕ] = (122 \pm 6 \pm 13)~{\rm eV}$, $(219 \pm 15 \pm 18)~{\rm eV}$, $(163 \pm 11 \pm 13)~{\rm eV}$ or $(203 \pm 12 \pm 18)~{\rm eV}$. The branching fraction of $ϕ(1680)\toηϕ$ decay is determined to be approximately 20%. Additionally, the branching fraction for $J/ψ\toηϕ$ is measured to be $(7.1\pm 1.0 \pm 0.5)\times 10^{-4}$. However, there is no significant observed $ϕ(2170)$ signal in the $ηϕ$ final states in this analysis, and correspondingly the upper limit for $Γ^{e^{+}e^{-}}_{ϕ(2170)}\cdot {\cal B}(ϕ(2170)\toηϕ)$ is determined to be either $0.17~{\rm eV}$ (for two fits), or $18.6~{\rm eV}$ (remaining two fits), at 90% confidence level.
DMiner: Dashboard Design Mining and Recommendation
Creators: name: Lin, Yanna
name: Li, Haotian
name: Wu, Aoyu
name: Wang, Yong
name: Qu, Huamin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Dashboards, which comprise multiple views on a single display, help analyze and communicate multiple perspectives of data simultaneously. However, creating effective and elegant dashboards is challenging since it requires careful and logical arrangement and coordination of multiple visualizations. To solve the problem, we propose a data-driven approach for mining design rules from dashboards and automating dashboard organization. Specifically, we focus on two prominent aspects of the organization: arrangement, which describes the position, size, and layout of each view in the display space; and coordination, which indicates the interaction between pairwise views. We build a new dataset containing 854 dashboards crawled online, and develop feature engineering methods for describing the single views and view-wise relationships in terms of data, encoding, layout, and interactions. Further, we identify design rules among those features and develop a recommender for dashboard design. We demonstrate the usefulness of DMiner through an expert study and a user study. The expert study shows that our extracted design rules are reasonable and conform to the design practice of experts. Moreover, a comparative user study shows that our recommender could help automate dashboard organization and reach human-level performance. In summary, our work offers a promising starting point for design mining visualizations to build recommenders.
description: in IEEE Transactions on Visualization and Computer Graphics
Strong light-matter interaction with self-hybridized bound states in the continuum in monolithic van der Waals metasurfaces
Creators: name: Weber, Thomas
name: Kühner, Lucca
name: Sortino, Luca
name: Mhenni, Amine Ben
name: Wilson, Nathan P.
name: Kühne, Julius
name: Finley, Jonathan J.
name: Maier, Stefan A.
name: Tittl, Andreas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Photonic bound states in the continuum (BICs) are a standout nanophotonic platform for strong light-matter coupling with transition metal dichalcogenides (TMDCs), but have so far mostly been employed as all-dielectric metasurfaces with adjacent TMDC layers, incurring limitations related to strain, mode overlap, and material integration. In this work, we experimentally demonstrate for the first time asymmetry-dependent BIC resonances in 2D arrays of monolithic metasurfaces composed solely of the nanostructured bulk TMDC WS$_2$ with BIC modes exhibiting sharp and tailored linewidths, ideal for selectively enhancing light-matter interactions. Geometrical variation enables the tuning of the BIC resonances across the exciton resonance in bulk WS$_2$, revealing the strong-coupling regime with an anti-crossing pattern and a Rabi splitting of 116 meV. The precise control over the radiative loss channel provided by the BIC concept is harnessed to tailor the Rabi splitting via a geometrical asymmetry parameter of the metasurface. Crucially, the coupling strength itself can be controlled and is shown to be independent of material-intrinsic losses. Our BIC-driven monolithic metasurface platform can readily incorporate other TMDCs or excitonic materials to deliver previously unavailable fundamental insights and practical device concepts for polaritonic applications.
description: Main text and supporting information, 31 pages, 4 Figures manuscript + 8 Supporting Figures