cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
CASSIS: The Cornell Atlas of Spitzer/Infrared Spectrograph Sources. II. High-resolution observations
Creators: name: Lebouteiller, V.
name: Barry, D. J.
name: Goes, C.
name: Sloan, G. C.
name: Spoon, H. W. W.
name: Weedman, D. W.
name: Bernard-Salas, J.
name: Houck, J. R.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The Infrared Spectrograph (IRS) on board the Spitzer Space Telescope observed about 15,000 objects during the cryogenic mission lifetime. Observations provided low-resolution (R~60-127) spectra over ~5-38um and high-resolution (R~600) spectra over ~10-37um. The Cornell Atlas of Spitzer/IRS Sources (CASSIS) was created to provide publishable quality spectra to the community. Low-resolution spectra have been available in CASSIS since 2011, and we present here the addition of the high-resolution spectra. The high-resolution observations represent approximately one third of all staring observations performed with the IRS instrument. While low-resolution observations are adapted to faint objects and/or broad spectral features (e.g., dust continuum, molecular bands), high-resolution observations allow more accurate measurements of narrow features (e.g., ionic emission lines) as well as a better sampling of the spectral profile of various features. Given the narrow aperture of the two high-resolution modules, cosmic ray hits and spurious features usually plague the spectra. Our pipeline is designed to minimize these effects through various improvements. A super sampled point-spread function was created in order to enable the optimal extraction in addition to the full aperture extraction. The pipeline selects the best extraction method based on the spatial extent of the object. For unresolved sources, the optimal extraction provides a significant improvement in signal-to-noise ratio over a full aperture extraction. We have developed several techniques for optimal extraction, including a differential method that eliminates low-level rogue pixels (even when no dedicated background observation was performed). The updated CASSIS repository now includes all the spectra ever taken by the IRS, with the exception of mapping observations.
description: Accepted on May 11th 2015 in ApJS
EUV fine structure and variability associated with coronal rain revealed by Solar Orbiter/EUI HRIEUV and SPICE
Creators: name: Antolin, P.
name: Dolliou, A.
name: Auchère, F.
name: Chitta, L. P.
name: Parenti, S.
name: Berghmans, D.
name: Cuadrado, R. Aznar
name: Barczynski, K.
name: Gissot, S.
name: Harra, L.
name: Huang, Z.
name: Janvier, M.
name: Kraaikamp, E.
name: Long, D. M.
name: Mandal, S.
name: Peter, H.
name: Rodriguez, L.
name: Schühle, U.
name: Smith, P. J.
name: Solanki, S. K.
name: Stegen, K.
name: Teriaca, L.
name: Verbeeck, C.
name: West, M. J.
name: Zhukov, A. N.
name: Appourchaux, T.
name: Aulanier, G.
name: Buchlin, E.
name: Delmotte, F.
name: Gilles, J. M.
name: Haberreiter, M.
name: Halain, J. -P.
name: Heerlein, K.
name: Hochedez, J. -F.
name: Gyo, M.
name: Poedts, S.
name: Rochus, P.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Coronal rain is the most dramatic cooling phenomenon of the solar corona and an essential diagnostic tool for the coronal heating properties. A puzzling feature of the solar corona, besides the heating, is its EUV filamentary structure and variability. We aim to identify observable features of the TNE-TI scenario underlying coronal rain at small and large spatial scales, to understand the role it plays in the solar corona. We use EUV datasets at unprecedented spatial resolution of ~240 km from EUI/HRIEUV and SPICE of Solar Orbiter from the spring 2022 perihelion. EUV absorption features produced by coronal rain are detected at scales as small as 260 km. As the rain falls, heating and compression is produced immediately downstream, leading to a small EUV brightening accompanying the fall and producing a "fireball" phenomenon. Just prior to impact, a flash-like EUV brightening downstream of the rain, lasting a few minutes is observed for the fastest events. For the first time, we detect the atmospheric response to the rain's impact on the chromosphere and consists of upward propagating rebound shocks and flows partly reheating the loop. The observed widths of the rain clumps are 500 +- 200 km. They exhibit a broad velocity distribution of 10 - 150 km s^-1, peaking below 50 km s^-1. Coronal strands of similar widths are observed along the same loops co-spatial with cool filamentary structure, which we interpret as the CCTR. Matching with the expected cooling, prior to the rain appearance sequential loop brightenings are detected in gradually cooler lines from corona to chromospheric temperatures. Despite the large rain showers, most cannot be detected in AIA 171 in quadrature, indicating that LOS effects play a major role in coronal rain visibility. Still, AIA 304 and SPICE observations reveal that only a small fraction of the rain can be captured by HRIEUV.
description: Astronomy & Astrophysics; 32 Pages, 24 Main Figures, Appendix
Chromospheric seismology above sunspot umbrae
Creators: name: Snow, B.
name: Botha, G. J. J.
name: Regnier, S.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The acoustic resonator is an important model for explaining the three-minute oscillations in the chromosphere above sunspot umbrae. The steep temperature gradients at the photosphere and transition region provide the cavity for the acoustic resonator, which allows waves to be both partially transmitted and partially reflected. In this paper, a new method of estimating the size and temperature profile of the chromospheric cavity above a sunspot umbra is developed. The magnetic field above umbrae is modelled numerically in 1.5D with slow magnetoacoustic wave trains travelling along magnetic fieldlines. Resonances are driven by applying the random noise of three different colours---white, pink and brown---as small velocity perturbations to the upper convection zone. Energy escapes the resonating cavity and generates wave trains moving into the corona. Line of sight (LOS) integration is also performed to determine the observable spectra through SDO/AIA. The numerical results show that the gradient of the coronal spectra is directly correlated with the chromosperic temperature configuration. As the chromospheric cavity size increases, the spectral gradient becomes shallower. When LOS integrations is performed, the resulting spectra demonstrate a broadband of excited frequencies that is correlated with the chromospheric cavity size. The broadband of excited frequencies becomes narrower as the chromospheric cavity size increases. These two results provide a potentially useful diagnostic for the chromospheric temperature profile by considering coronal velocity oscillations.
Integrating the Who, What, and Where of U.S. Retail Center Geographies
Creators: name: Ballantyne, Patrick
name: Singleton, Alex
name: Dolega, Les
name: Macdonald, Jacob
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Computational Biology

description: Retail is an important function at the core of urban areas, occupying a key role in determining their economic prosperity, desirability, and vibrancy. Efforts to understand the geographies of retail centers, the cores of retailing in urban areas, have a long academic tradition, often studied through either rich local case studies, or when geographically more expansive, are constrained by limited detail. New data in United States detailing the location and uses of retail creates a significant opportunity to develop a more complete and comprehensive overview of the national retail system, at a high spatial resolution. This research is rooted in a pragmatic effort to provide the first and most comprehensive model of U.S. retail center geographies, through development of an integrated, conceptual, and empirically grounded framework, using data from SafeGraph, to examine where they are located, what characteristics they have, and who uses them. The resulting geographies are of great interest, creating significant potential in the monitoring of the national retail system as it continues to evolve in response to wider structural challenges. Furthermore, by integrating these three geographies (where, what, and who), we establish a conceptual framework that yields substantive insights about the relationships between each of them, and argues that understandings of U.S. retail center geographies are more comprehensive and useful when considering the who, what, and where together.
Bayesian inference for spatio-temporal spike-and-slab priors
Creators: name: Andersen, Michael Riis
name: Vehtari, Aki
name: Winther, Ole
name: Hansen, Lars Kai
Publisher: name: arXiv
Year: 2015
Subjects: subject: Machine Learning (stat.ML)
subject: Computation (stat.CO)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: In this work, we address the problem of solving a series of underdetermined linear inverse problems subject to a sparsity constraint. We generalize the spike-and-slab prior distribution to encode a priori correlation of the support of the solution in both space and time by imposing a transformed Gaussian process on the spike-and-slab probabilities. An expectation propagation (EP) algorithm for posterior inference under the proposed model is derived. For large scale problems, the standard EP algorithm can be prohibitively slow. We therefore introduce three different approximation schemes to reduce the computational complexity. Finally, we demonstrate the proposed model using numerical experiments based on both synthetic and real data sets.
description: 58 pages, 17 figures
Characterizing daily-life social interactions in adolescents and young adults with neurodevelopmental disorders: a comparison between individuals with ASD and 22q11DS
Creators: name: Feller, Clémence
name: Ilen, Laura
name: Schneider, Maude
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Clinical Psychology
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: The main goal of this project is to use Experience Sampling Method to characterize daily-life social interactions in adolescents and young adults with neurodevelopmental disorders.
ENTRE TAPAS E BEIJOS
Creators: name: Pavao Santana, Jose Claudio
Publisher: name: Zenodo
Year: 2025

description: Ano 11 – n. 58/2023 – https://doi.org/10.5281/zenodo.8360126

As CPIs no Congresso Nacional – Câmara e Senado – mistas ou

não, são instrumentos assegurados às oposições. Servem

como mecanismos de controle e a garantia de participação

política plural.
PHARMACOLOGICAL AND IMMUNOLOGICAL CONTROL OF ZIKA VIRUS IN MICE DEFICIENT IN ADAPTIVE IMMUNE RESPONSES
Creators: name: Schramm, Nathaniel
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2019

description: Zika virus (ZIKV) has recently demonstrated epidemic potential with prolonged infection, sexual and mother to fetus transmission, severe clinical manifestation of fetal microcephaly and congenital malformations and Guillain-Barré syndrome in adults. Existing small animal models for ZIKV infection based on interferon (IFN)-deficient mice are not well suited for long-term assessment of therapeutics. Here, we show that in contrast to immunocompetent mice that control ZIKV infection and IFN-deficient mice that rapidly succumb to infection, immunodeficient mouse strains lacking T, B, and NK cells support systemic ZIKV replication for long periods of time. Using these immunodeficient mice, we evaluated the efficacy of 7-Deaza-7-fluoro-2’-C-methyl-adenoside (DFMA), a small molecular inhibitor and a neutralizing antibody (C10) to suppress systemic ZIKV replication in vivo. DFMA treatment resulted in efficient and sustained viral suppression. Treatment with C10 also resulted in viral suppression in highly clinically relevant tissues like the brain, eyes, gastrointestinal tract, and male and female reproductive organs.
Joint community and anomaly tracking in dynamic networks
Creators: name: Baingana, Brian
name: Giannakis, Georgios B.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Machine Learning (stat.ML)
subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connectivities between nodes belonging to different clusters. In addition to facilitating a better understanding of network behavior, community detection finds many practical applications in diverse settings. Communities in online social networks are indicative of shared functional roles, or affiliation to a common socio-economic status, the knowledge of which is vital for targeted advertisement. In buyer-seller networks, community detection facilitates better product recommendations. Unfortunately, reliability of community assignments is hindered by anomalous user behavior often observed as unfair self-promotion, or "fake" highly-connected accounts created to promote fraud. The present paper advocates a novel approach for jointly tracking communities while detecting such anomalous nodes in time-varying networks. By postulating edge creation as the result of mutual community participation by node pairs, a dynamic factor model with anomalous memberships captured through a sparse outlier matrix is put forth. Efficient tracking algorithms suitable for both online and decentralized operation are developed. Experiments conducted on both synthetic and real network time series successfully unveil underlying communities and anomalous nodes.
description: 13 pages
Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships
Creators: name: Mainali, Janardan
name: Chang, Heejun
name: Parajuli, Rabindra
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Marine Biology
subject: Science Policy

description: We developed a novel spatial stream network geographically weighted regression (SSN-GWR) by incorporating stream-distance metrics into GWR. The model was tested for predicting seasonal total nitrogen (TN) and total suspended solids (TSS) concentrations in relation to watershed characteristics for 108 sites in the Han River Basin, South Korea. The SSN-GWR model was run with the average seasonal water quality parameters from 2012 through 2016 and was validated with the data from 2017 through 2021. The model fit among ordinary least square regression, standard GWR (STD-GWR), and stream distance weighted SSN-GWR were compared based on their ability to explain the variation of seasonal water quality parameters. We also compared residual spatial autocorrelations as well as various error parameters from these models. Compared to the STD-GWR model, the SSN-GWR model generally provided better model fit, reduced residual spatial autocorrelation, and lessened overall modeling errors. Results show that the spatial patterns of model fit, as well as various coefficients from the upstream distance weighted regressions, capture local patterns as a product of upstream–downstream relations. We demonstrate that a successful model could be developed by integrating stream distance into the GWR, which not only improves model fit but also reveals realistic hydrological processes that relate watershed characteristics to water quality along with the stream network. The local variations in model fit derived from this work can be used to devise fine-scale interventions for water quality improvements in a spatially heterogeneous complex river basin.
Formation of paired phases of bosons and their excitations in a square lattice
Creators: name: Malakar, Manali
name: Sinha, Sudip
name: Sinha, S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We investigate the formation of paired states of bosons in an optical lattice, namely, pair superfluid (PSF) and pair supersolid (PSS) in the presence of pair hopping as well as the next nearest neighbor (NNN) interaction mimicking long-range forces. Both the zero and finite temperature phase diagrams are obtained using the cluster mean field theory, which includes the effect of correlations systematically. We also compute the low-energy excitations which capture the characteristic features of such paired states and their transitions. Apart from the gapless sound mode due to the PSF order, a gapped mode also appears in the PSF phase, similar to the Higgs mode of the usual atomic superfluid (ASF). The PSF to ASF transition exhibits an intriguing behavior due to the existence of a `tri-critical' point, where the nature of transition changes. As a consequence of the continuous PSF-ASF transition, the gapped mode of both the phases becomes gapless at the critical point. For sufficiently strong NNN interaction strength, a PSS phase appears with coexisting pair superfluidity and stripe density order. The softening of the roton mode as a precursor of density ordering and the appearance of a low-energy gapped mode serve as robust features related to the formation of the PSS phase. We also investigate the melting of PSF and PSS phases to normal fluid at finite temperatures, particularly the melting pathway of PSS which occurs in atleast two steps due to the coexisting orders. Finally, we discuss the possibility of emulating such exotic phases in the ongoing cold atom experiments.
description: 14 pages, 15 figures
Disjointness and order projections in vector lattices of abstract Uryson operators
Creators: name: Pliev, Marat A.
name: Weber, Martin R.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47H07

description: Projections onto several special subsets in the Dedekind complete vector lattice of orthogonally additive, order bounded (called abstract Uryson) operators between two vector lattices $E$ and $F$ are considered and some new formulas are provided.
description: 12 pp
A project submitted to the School of Graduate Studies of Addis Ababa University in Partial fulfillment of the requirement for the Degree in Masters of Art in Applied Economic Modeling and Forecasting
Creators: name: GASHAW DESALEGN
Publisher: name: Zenodo
Year: 2014

description: The aim of this paper is to investigate empirically the ability of Nation Bank of Ethiopia to

control the stock of money supply. This investigation seems to conform to the ongoing

controversy surrounding the exogeneity /endogeneity hypothesis regarding the money supply i.e.

the controllability/non-controllability of the money supply by the Central Bank. The paper has first

tested the money multiplier model which says money is exogenous and thus controllable by central

banks. We examine the constancy and Stationarity of the money multiplier and the results

suggest that the money multiplier remains non stationary for the entire sample period. We then

tested cointegration between money supply and monetary base and find the evidence of

cointegration between two variables. The coefficient restrictions are satisfied only partially. The

result from this model shows it will be difficult to use the money multiplier model as a frame

work for monetary policy.
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
Creators: name: Ilias, Loukas
name: Askounis, Dimitris
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Alzheimer's disease (AD) constitutes a complex neurocognitive disease and is the main cause of dementia. Although many studies have been proposed targeting at diagnosing dementia through spontaneous speech, there are still limitations. Existing state-of-the-art approaches, which propose multimodal methods, train separately language and acoustic models, employ majority-vote approaches, and concatenate the representations of the different modalities either at the input level, i.e., early fusion, or during training. Also, some of them employ self-attention layers, which calculate the dependencies between representations without considering the contextual information. In addition, no prior work has taken into consideration the model calibration. To address these limitations, we propose some new methods for detecting AD patients, which capture the intra- and cross-modal interactions. First, we convert the audio files into log-Mel spectrograms, their delta, and delta-delta and create in this way an image per audio file consisting of three channels. Next, we pass each transcript and image through BERT and DeiT models respectively. After that, context-based self-attention layers, self-attention layers with a gate model, and optimal transport domain adaptation methods are employed for capturing the intra- and inter-modal interactions. Finally, we exploit two methods for fusing the self and cross-attention features. For taking into account the model calibration, we apply label smoothing. We use both performance and calibration metrics. Experiments conducted on the ADReSS and ADReSSo Challenge datasets indicate the efficacy of our introduced approaches over existing research initiatives with our best performing model reaching Accuracy and F1-score up to 91.25% and 91.06% respectively.
description: Knowledge-Based Systems
The grammatical items bin, fɔ, and mɔs in Sierra Leone Krio
Creators: name: Jones, Frederick C. V.
Publisher: name: Technische Universität Berlin
Year: 1990
Subjects: subject: 400 Sprache
subject: Krio
subject: CEC
subject: Carribean English Creole

description: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
description: This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
description: These items, presumably derived from English 'been', 'for' and 'must', respectively, function differently in Krio from their etyma, while, in the case of fo and mos, sharing similar uses. This paper tries to appraise descriptions of the functions of bin, fo, and mos in the literature with regard to their applicability to Krio and discusses uses that do not seem to have hitherto appeared in accounts of Krio grammar. For example, fo shares many functions with the Caribbean English Creole (CEC) alternants fu/fi; however, it also has other functions not found in CEC but relatable to uses of English 'should' in the realis modality. With regard to mos, apart from its epistemic and deontic uses, which correspond, more or less, to similar use sof English 'must', Krio mos has at least two other auxiliary uses which are probably not shared by other Creoles. The description of bin as a [+anterior] tense marker is also considered misleading, at least for Krio.
Sequential Bayesian experimental design for calibration of expensive simulation models
Creators: name: Sürer, Özge
name: Plumlee, Matthew
name: Wild, Stefan M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.
Monte Carlo Simulation of the Director Field of a Nematic Liquid Crystal with Three Elastic Coefficients
Creators: name: Gruhn, Thomas
name: Hess, Siegfried
Publisher: name: Technische Universität Berlin
Year: 1996
Subjects: subject: 530 Physik
subject: Monte Carlo simulation
subject: nematic liquid crystal

description: In this article, a Monte Carlo simulation is presented, which generates the equilibrium director field of a nematic liquid crystal under the influence of an external field and fixed boundary conditions. The liquid crystal is characterized by a set of directors on a spatially fixed lattice. The simulation is based on an expression for the Frank free energy with three elastic coefficients. The chosen discretisation conserves the nematic symmetry, which means n and - n are equivalent. The results for several Frederiks geometries with homogeneous and spatially modulated external fields are shown, as well as an investigation of a capillary with homeotropic boundary conditions. Further we compare our method with the Lebwohl-Lasher model and introduce an extension of the latter which distinguishes between splay-, twist-and bend-configurations.
Unraveling the glass-like dynamic heterogeneity in ring polymer melts: From semi-flexible to stiff chain
Creators: name: Goto, Shota
name: Kim, Kang
name: Matubayasi, Nobuyuki
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Ring polymers are an intriguing class of polymers with unique physical properties, and understanding their behavior is important for developing accurate theoretical models. In this study, we investigate the effect of chain stiffness and monomer density on static and dynamic behaviors of ring polymer melts using molecular dynamics simulations. Our first focus is on the non-Gaussian parameter of center of mass displacement as a measure of dynamic heterogeneity, which is commonly observed in glass-forming liquids. We find that the non-Gaussianity in the displacement distribution increases with the monomer density and stiffness of the polymer chains, suggesting that excluded volume interactions between centers of mass have a stronger effect on the dynamics of ring polymers. We then analyze the relationship between the radius of gyration and monomer density for semi-flexible and stiff ring polymers. Our results indicate that the relationship between the two varies with chain stiffness, which can be attributed to the competition between repulsive forces inside the ring and from adjacent rings. Finally, we study the dynamics of bond-breakage virtually connected between the centers of mass of rings to analyze the exchanges of inter-molecular networks of bonds. Our results demonstrate that the dynamic heterogeneity of bond-breakage is coupled with the non-Gaussianity in ring polymer melts, highlighting the importance of bond-breaking method in determining the inter-molecular dynamics of ring polymer melts. Overall, our study provides insights into the fundamental mechanism of ring polymers and sheds light on the factors that govern their dynamic behavior.
description: 11 pages, 7 figures, to appear in ACS Polymers Au
The Gas Morphology of Nearby Star-Forming Galaxies
Creators: name: Stuber, S. K.
name: Schinnerer, E.
name: Williams, T. G.
name: Querejeta, M.
name: Meidt, S.
name: Emsellem, E.
name: Barnes, A.
name: Klessen, R. S.
name: Leroy, A. K.
name: Neumann, J.
name: Sormani, M. C.
name: Bigiel, F.
name: Chevance, M.
name: Dale, D.
name: Faesi, C.
name: Glover, S. C. O.
name: Grasha, K.
name: Kruijssen, J. M. D.
name: Liu, D.
name: Pan, H.
name: Pety, J.
name: Pinna, F.
name: Saito, T.
name: Usero, A.
name: Watkins, E. J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The morphology of a galaxy stems from secular and environmental processes during its evolutionary history. Thus galaxy morphologies have been a long used tool to gain insights on galaxy evolution. We visually classify morphologies on cloud-scales based on the molecular gas distribution of a large sample of 79 nearby main-sequence galaxies, using 1'' resolution CO(2-1) ALMA observations taken as part of the PHANGS survey. To do so, we devise a morphology classification scheme for different types of bars, spiral arms (grand-design, flocculent, multi-arm and smooth), rings (central and non-central rings) similar to the well-established optical ones, and further introduce bar lane classes. In general, our cold gas based morphologies agree well with the ones based on stellar light. Both our bars as well as grand-design spiral arms are preferentially found at the higher mass end of our sample. Our gas-based classification indicates a potential for misidentification of unbarred galaxies in the optical when massive star formation is present. Central or nuclear rings are present in a third of the sample with a strong preferences for barred galaxies (59%). As stellar bars are present in 45$\pm$5% of our sample galaxies, we explore the utility of molecular gas as tracer of bar lane properties. We find that more curved bar lanes have a shorter radial extent in molecular gas and reside in galaxies with lower molecular to stellar mass ratios than those with straighter geometries. Galaxies display a wide range of CO morphology, and this work provides a catalogue of morphological features in a representative sample of nearby galaxies.
description: 17 pages, 14 figures (+ Appendix 9 pages, 4 figures). Accepted for publication in A&A
Family Functioning and Internalizing and Externalizing Problems: Disentangling Between-, and Within-person Associations in Adolescence
Creators: name: Mastrotheodoros, Stefanos
name: Canário, Catarina
name: Gugliandolo, Maria
name: Merkas, Marina
name: Keijsers, Loes
Publisher: name: Open Science Framework
Year: 2022

description: Three-wave longitudinal study on the associations among dimensions of family functioning, and psychological symptoms in adolescence.
FIRST AMENDMENT PROTECTION FOR COMPUTER ASSISTED DESIGN FILES
Creators: name: Turner, Mariam Badiei
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2019

description: This thesis examines the possible extent of First Amendment protection for computer assisted design (CAD) files, the pages of code that instruct a 3-D printer on what to print. This thesis draws a comparison between traditional computer code and CAD files, and first asks whether the factors relied upon by courts in determining whether computer code receives First Amendment protection can be applied to CAD files. This thesis also reviews the foundational theories of the First Amendment, and asks whether CAD files fulfill the objectives of the First Amendment under the reasoning of each theory. It concludes by arguing that CAD files should be treated in the same manner as computer code – receiving presumptive protection under the First Amendment, and requiring that any regulation or restriction be content-neutral and narrowly tailored.
No Longer “Confined to the Lower Keys of Florida”: Mainland United States Cultivation of Breadfruit (Artocarpus altilis) in a Changing Climate
Creators: name: Fielding, Russell
name: Zaldivar, Jorge Julian
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Breadfruit (Artocarpus altilis) is a domesticated tree crop found throughout the insular Pacific and in other tropical regions of the world where it has been introduced, most notably in the Caribbean. Although breadfruit thrives in Hawai‘i, as it has since before European contact, efforts to introduce breadfruit to the mainland United States have been challenged by the tree’s intolerance for even mildly cold temperatures. Historically, only extreme southern Florida has been consistently warm enough to support breadfruit cultivation. Today, however, likely owing to warming temperatures associated with global climate change, but possibly also the selection of breadfruit varieties with improved cold tolerance, an increasing number of growers based throughout Florida are finding success cultivating breadfruit trees and producing fruit. Using a mixed-methods approach including interviews and surveys among forty-three Florida-based breadfruit growers, this article investigates the current status and geographical range of breadfruit in the mainland United States and considers both the sustainability implications and the remaining environmental challenges regarding its cultivation.
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Creators: name: Wang, Yuntao
name: Pan, Yanghe
name: Yan, Miao
name: Su, Zhou
name: Luan, Tom H.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIGC uses generative large AI algorithms to assist or replace humans in creating massive, high-quality, and human-like content at a faster pace and lower cost, based on user-provided prompts. Despite the recent significant progress in AIGC, security, privacy, ethical, and legal challenges still need to be addressed. This paper presents an in-depth survey of working principles, security and privacy threats, state-of-the-art solutions, and future challenges of the AIGC paradigm. Specifically, we first explore the enabling technologies, general architecture of AIGC, and discuss its working modes and key characteristics. Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies. Furthermore, we review the state-of-the-art AIGC watermarking approaches for regulatable AIGC paradigms regarding the AIGC model and its produced content. Finally, we identify future challenges and open research directions related to AIGC.
description: 20 pages, 6 figures, 4 tables
A profusion of $1/2$ BPS Wilson loops in $\mathcal{N}=4$ Chern-Simons-matter theories
Creators: name: Cooke, Michael
name: Drukker, Nadav
name: Trancanelli, Diego
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We initiate the study of $1/2$ BPS Wilson loops in $\mathcal{N}=4$ Chern-Simons-matter theories in three dimensions. We consider a circular or linear quiver with Chern-Simons levels $k$, $-k$ and $0$, and focus on loops preserving one of the two $SU(2)$ subgroups of the $R$-symmetry. In the cases with no vanishing Chern-Simons levels, we find a pair of Wilson loops for each pair of adjacent nodes on the quiver connected by a hypermultiplet (nodes connected by twisted hypermultiplets have Wilson loops preserving another set of supercharges). We expect this classical pairwise degeneracy to be lifted by quantum corrections. In the case with nodes with vanishing Chern-Simons terms connected by twisted hypermultiplets, we find that the usual $1/4$ BPS Wilson loops are automatically enlarged to $1/2$ BPS, as happens also in 3-dimensional Yang-Mills theory. When the nodes with vanishing Chern-Simons levels are connected by untwisted hypermultiplets, we do not find any Wilson loops coupling to those nodes which are classically invariant. Rather, we find several loops whose supersymmetry variation, while non zero, vanishes in any correlation function, so is weakly zero. We expect only one linear combination of those Wilson loops to remain BPS when quantum corrections are included. We analyze the M-theory duals of those Wilson loops and comment on their degeneracy. We also show that these Wilson loops are cohomologically equivalent to certain $1/4$ BPS Wilson loops whose expectation value can be evaluated by the appropriate localized matrix model.
description: 40 pages
Managerial competencies for Industry 4.0 and implications for social sustainability
Creators: name: Mariottini, Chiara
name: Mention, Anne-Laure
name: Dąbrowska, Justyna
Publisher: name: Zenodo
Year: 2022
Subjects: Industry 4.0, digital transformation, workforce management, human resource, capabilities, RBV, corporate sustainability, skills, competence, managerial competencies.

description: Workforce management aspects are offering tremendous opportunities to create the right premises for the digital and technological change under the I4.0 paradigm. Additionally, adequate human capabilities can help to grasp further opportunities resulting from I4.0, including firm sustainability. This study focuses on the 14 relevant managerial competencies, identified by Shet and Pereira (2021), for a successful I4.0 environment. An empirical analysis is developed to weigh the importance of these capabilities and to understand their implications for sustainability (defined here as corporate sustainability). The focus is specifically on the social dimension of sustainability, firstly identified by Elkington in the Triple Bottom Line. This research aims at identifying human competencies needed for a successful digital transformation and adaptation to I4.0. Further, the goal is to identify synergies between I4.0 and sustainability, which represents a compelling topic in organizational field.
Near-Atomic Scale Perspective on the Oxidation of Ti$_3$C$_2$T$_x$ MXenes: Insights from Atom Probe Tomography
Creators: name: Krämer, Mathias
name: Favelukis, Bar
name: El-Zoka, Ayman A.
name: Sokol, Maxim
name: Rosen, Brian A.
name: Eliaz, Noam
name: Kim, Se-Ho
name: Gault, Baptiste
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: MXenes are a family of 2D transition metal carbides and nitrides with remarkable properties and great potential for energy storage and catalysis applications. However, their oxidation behavior is not yet fully understood, and there are still open questions regarding the spatial distribution and precise quantification of surface terminations, intercalated ions, and possible uncontrolled impurities incorporated during synthesis and processing. Here, atom probe tomography analysis of as-synthesized Ti$_3$C$_2$T$_x$ MXenes reveals the presence of alkali (Li, Na) and halogen (Cl, F) elements as well as unetched Al. Following oxidation of the colloidal solution of MXenes, it is observed that the alkalies enriched in TiO$_2$ nanowires. Although these elements are tolerated through the incorporation by wet chemical synthesis, they are often overlooked when the activity of these materials is considered, particularly during catalytic testing. This work demonstrates how the capability of atom probe tomography to image these elements in 3D at the near-atomic scale can help to better understand the activity and degradation of MXenes, in order to guide their synthesis for superior functional properties.
Integration of thermo-electric coolers into the CMS MTD SiPM arrays for operation under high neutron fluence
Creators: name: Bornheim, A.
name: Lustermann, W.
name: Stachon, K.
name: Gutiérrez, G. Reales
name: Benaglia, A.
name: De Guio, F.
name: Ghezzi, A.
name: Lucchini, M. T.
name: Malberti, M.
name: Palluotto, S.
name: de Fatis, T. Tabarelli
name: Benettoni, M.
name: Carlin, R.
name: Tosi, M.
name: Rossin, R.
name: Meridiani, P.
name: Paramatti, R.
name: Santanastasio, F.
name: Silva, J. C.
name: Varela, J.
name: Heering, A.
name: Karneyeu, A.
name: Musienko, Y.
name: Wayne, M.
name: Anderson, T.
name: Cox, B.
name: Lara, C. E. Perez
name: Ledovskoy, A.
name: White, S.
name: Schmidt, I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The barrel section of the novel MIP Timing Detector (MTD) will be constructed as part of the upgrade of the CMS experiment to provide a time resolution for single charged tracks in the range of $30-60$ ps using LYSO:Ce crystal arrays read out with Silicon Photomultipliers (SiPMs). A major challenge for the operation of such a detector is the extremely high radiation level, of about $2\times10^{14}$ 1 MeV(Si) Eqv. n/cm$^2$, that will be integrated over a decade of operation of the High Luminosity Large Hadron Collider (HL-LHC). Silicon Photomultipliers exposed to this level of radiation have shown a strong increase in dark count rate and radiation damage effects that also impact their gain and photon detection efficiency. For this reason during operations the whole detector is cooled down to about $-35^{\circ}$C. In this paper we illustrate an innovative and cost-effective solution to mitigate the impact of radiation damage on the timing performance of the detector, by integrating small thermo-electric coolers (TECs) on the back of the SiPM package. This additional feature, fully integrated as part of the SiPM array, enables a further decrease in operating temperature down to about $-45^{\circ}$C. This leads to a reduction by a factor of about two in the dark count rate without requiring additional power budget, since the power required by the TEC is almost entirely offset by a decrease in the power required for the SiPM operation due to leakage current. In addition, the operation of the TECs with reversed polarity during technical stops of the accelerator can raise the temperature of the SiPMs up to $60^{\circ}$C (about $50^{\circ}$C higher than the rest of the detector), thus accelerating the annealing of radiation damage effects and partly recovering the SiPM performance.
First-order thermodynamics of scalar-tensor gravity
Creators: name: Giardino, Serena
name: Giusti, Andrea
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The first-order thermodynamics of scalar-tensor theory is a novel approach that exploits the intriguing relationship between gravity and thermodynamics to better understand the space of gravity theories. It is based on using Eckart's first-order irreversible thermodynamics on the effective imperfect fluid describing scalar-tensor gravity and characterises General Relativity as an equilibrium state, and scalar-tensor theories as non-equilibrium states, naturally describing the approach to equilibrium. Applications of this framework to cosmology, extensions to different classes of modified theories, and the formulation of two complementary descriptions based on the notions of temperature and chemical potential all contribute to a new and unifying picture of the landscape of gravity theories.
description: 20 pages. The results contained in this paper have been partially presented at WASCOM 2021
Task Relation-aware Continual User Representation Learning
Creators: name: Kim, Sein
name: Lee, Namkyeong
name: Kim, Donghyun
name: Yang, Minchul
name: Park, Chanyoung
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: User modeling, which learns to represent users into a low-dimensional representation space based on their past behaviors, got a surge of interest from the industry for providing personalized services to users. Previous efforts in user modeling mainly focus on learning a task-specific user representation that is designed for a single task. However, since learning task-specific user representations for every task is infeasible, recent studies introduce the concept of universal user representation, which is a more generalized representation of a user that is relevant to a variety of tasks. Despite their effectiveness, existing approaches for learning universal user representations are impractical in real-world applications due to the data requirement, catastrophic forgetting and the limited learning capability for continually added tasks. In this paper, we propose a novel continual user representation learning method, called TERACON, whose learning capability is not limited as the number of learned tasks increases while capturing the relationship between the tasks. The main idea is to introduce an embedding for each task, i.e., task embedding, which is utilized to generate task-specific soft masks that not only allow the entire model parameters to be updated until the end of training sequence, but also facilitate the relationship between the tasks to be captured. Moreover, we introduce a novel knowledge retention module with pseudo-labeling strategy that successfully alleviates the long-standing problem of continual learning, i.e., catastrophic forgetting. Extensive experiments on public and proprietary real-world datasets demonstrate the superiority and practicality of TERACON. Our code is available at https://github.com/Sein-Kim/TERACON.
description: KDD 2023