cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Regional broad-band ground-shaking modelling over extended and thick sedimentary basins
title: An example from the Lower Rhine Embayment (Germany)
titleType: Subtitle
Creators: name: Pilz, Marco
name: Cotton, Fabrice Pierre
name: Razafindrakoto, Hoby Njara Tendrisoa
name: Weatherill, Graeme
name: Spies, Thomas
Publisher: name: Universität Potsdam
Year: 2024
Subjects: subject: 550 Geowissenschaften

description: The simulation of broad-band (0.1 to 10 + Hz) ground-shaking over deep and spatially extended sedimentary basins at regional scales is challenging. We evaluate the ground-shaking of a potential M 6.5 earthquake in the southern Lower Rhine Embayment, one of the most important areas of earthquake recurrence north of the Alps, close to the city of Cologne in Germany. In a first step, information from geological investigations, seismic experiments and boreholes is combined for deriving a harmonized 3D velocity and attenuation model of the sedimentary layers. Three alternative approaches are then applied and compared to evaluate the impact of the sedimentary cover on ground-motion amplification. The first approach builds on existing response spectra ground-motion models whose amplification factors empirically take into account the influence of the sedimentary layers through a standard parameterization. In the second approach, site-specific 1D amplification functions are computed from the 3D basin model. Using a random vibration theory approach, we adjust the empirical response spectra predicted for soft rock conditions by local site amplification factors: amplifications and associated ground-motions are predicted both in the Fourier and in the response spectra domain. In the third approach, hybrid physics-based ground-motion simulations are used to predict time histories for soft rock conditions which are subsequently modified using the 1D site-specific amplification functions computed in method 2. For large distances and at short periods, the differences between the three approaches become less notable due to the significant attenuation of the sedimentary layers. At intermediate and long periods, generic empirical ground-motion models provide lower levels of amplification from sedimentary soils compared to methods taking into account site-specific 1D amplification functions. In the near-source region, hybrid physics-based ground-motions models illustrate the potentially large variability of ground-motion due to finite source effects.
description: Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe; 1371
Discovery of carbon-rich Miras in the Galactic bulge
Creators: name: Matsunaga, Noriyuki
name: Menzies, John W.
name: Feast, Michael W.
name: Whitelock, Patriica A.
name: Onozato, Hiroki
name: Barway, Sudhanshu
name: Aydi, Elias
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Only one carbon-rich (C-rich, hereinafter) Mira variable has so far been suggested as a member of the Galactic bulge and this is in a symbiotic system. Here we describe a method for selecting C-rich candidates from an infrared colour-colour diagram, (J-Ks) vs ([9]-[18]). Follow-up low-resolution spectroscopy resulted in the detection of 8 C-rich Mira variables from a sample of36 candidates towards the Galactic bulge. Our near-infrared photometry indicates that two of these, including the known symbiotic, are closer than the main body of the bulge while a third is a known foreground object. Of the 5 bulge members, one shows He I and [O II] emission and is possibly another symbiotic star. Our method is useful for identifying rare C-rich stars in the Galactic bulge and elsewhere. The age of these C-rich stars and the evolutionary process which produced them remain uncertain. They could be old and the products of either binary mass transfer or mergers, i.e. the descendants of blue stragglers, but we cannot rule out the possibility that they belong to a small in-situ population of metal-poor intermediate age (less than 5 Gyr) stars in the bulge or that they have been accreted from a dwarf galaxy.
description: 9 pages, 8 figures, 2 tables, accepted for publication in MNRAS
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
Creators: name: Trangucci, Rob
name: Chen, Yang
name: Zelner, Jon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Characterizing the cumulative burden of COVID-19 by race/ethnicity is of the utmost importance for public health researchers and policy makers in order to design effective mitigation measures. This analysis is hampered, however, by surveillance case data with substantial missingness in race and ethnicity covariates. Worse yet, this missingness likely depends on the values of these missing covariates, i.e. they are not missing at random (NMAR). We propose a Bayesian parametric model that leverages joint information on spatial variation in the disease and covariate missingness processes and can accommodate both MAR and NMAR missingness. We show that the model is locally identifiable when the spatial distribution of the population covariates is known and observed cases can be associated with a spatial unit of observation. We also use a simulation study to investigate the model's finite-sample performance. We compare our model's performance on NMAR data against complete-case analysis and multiple imputation (MI), both of which are commonly used by public health researchers when confronted with missing categorical covariates. Finally, we model spatial variation in cumulative COVID-19 incidence in Wayne County, Michigan using data from the Michigan Department and Health and Human Services. The analysis suggests that population relative risk estimates by race during the early part of the COVID-19 pandemic in Michigan were understated for non-white residents compared to white residents when cases missing race were dropped or had these values imputed using MI.
Robust Bayesian Inference for Big Data: Combining Sensor-based Records with Traditional Survey Data
Creators: name: Rafei, Ali
name: Flannagan, Carol A. C.
name: West, Brady T.
name: Elliott, Michael R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Big Data often presents as massive non-probability samples. Not only is the selection mechanism often unknown, but larger data volume amplifies the relative contribution of selection bias to total error. Existing bias adjustment approaches assume that the conditional mean structures have been correctly specified for the selection indicator or key substantive measures. In the presence of a reference probability sample, these methods rely on a pseudo-likelihood method to account for the sampling weights of the reference sample, which is parametric in nature. Under a Bayesian framework, handling the sampling weights is an even bigger hurdle. To further protect against model misspecification, we expand the idea of double robustness such that more flexible non-parametric methods, as well as Bayesian models, can be used for prediction. In particular, we employ Bayesian additive regression trees, which not only capture non-linear associations automatically but permit direct quantification of the uncertainty of point estimates through its posterior predictive draws. We apply our method to sensor-based naturalistic driving data from the second Strategic Highway Research Program using the 2017 National Household Travel Survey as a benchmark.
What are āgamas? – Ācārya Dr. Sthaneshwar Timalsina
Creators: name: Timalsina, Staneshwar
Publisher: name: Zenodo
Year: 2023
Subjects: Tantric philosophy
anava upaya
yantra
amnaya
Shiva
Shaiva
vimarsha-foundation
consciousness
mahadeva
Vasugupta
Sarvamnaya
tripura
Durga
Kaula
Abhinavagupta
Shiva Sutra
Kula
saivadvaita
vedanta
Mahakali
Tantra
Chandi
Kali
advaita vedanta
Bhairava
shambhava
timalsina
Spanda
Kashmir Shaivism
krama
Saundaryalahari
Tripura Rahasya
Tripurasundari
Camunda
agama
Devi Mahatmya
sarvamnaya
Guhyakālī
shakti
tantraloka
Divine Mother
sarvamnaya-oral-tradition-archive
trika
sthaneshwar timalsina
Īśāna
Mālinīvijayottaratantra
shakta upāya
Kubjika
Sadāśiva

description: Visit Vimarsha Foundation's website for more teachings, including FREE online courses offered by Śaivācārya Prof. Sthaneshwar Timalsina:
https://www.vimarshafoundation.org/courses

Join our Community on Facebook to discuss these topics and stay connected:
https://www.facebook.com/groups/vimarshafoundation/

This is an excerpt from: LIVE with Acharya Dr. Sthaneshwar Timalsina on topic Tantric Philosophy – https://www.youtube.com/watch?v=i9PsSGCh2OA&t=541s

Original YouTube video: https://www.youtube.com/watch?v=QcMwhJS1vSs

This presentation is part of the Sarvāmnāya Oral Tradition Archive.
Vimarsha Foundation. (2025). The Sarvāmnāya Oral Tradition Archive [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15188107
Strategies for Securing Tenure: The Promise and Pitfalls of Formalization
Creators: name: Holland, Margaret
name: Diop, Moustapha
Publisher: name: Springer
Year: 2022

description: In this chapter, we explore land formalization as a primary mechanism for strengthening land tenure security, initially through an exploration of post-colonial and post-independence large-scale land titling efforts in the Global South. We then explore some common assumptions tied to land formalization, its relationship with tenure security, and how it has reached a current position of prominence on global sustainability agendas. Finally, we discuss the newest generation of efforts to develop more geographically targeted approaches to land formalization, often focusing on the lands of Indigenous Peoples and local communities, to increase tenure security, improve livelihoods, and safeguard ecosystems. We see formalization as remaining an important component of the land tenure security toolbox, but the way it is approached and implemented requires constant reassessment and innovation.
Data-driven Approach to Parameterize SCAN+U for an Accurate Description of 3d Transition Metal Oxide Thermochemistry
Creators: name: Artrith, Nongnuch
name: Torres, José Antonio Garrido
name: Urban, Alexander
name: Hybertsen, Mark S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Semi-local DFT methods exhibit significant errors for the phase diagrams of transition-metal oxides that are caused by an incorrect description of molecular oxygen and the large self-interaction error in materials with strongly localized electronic orbitals. Empirical and semiempirical corrections based on the DFT+U method can reduce these errors, but the parameterization and validation of the correction terms remains an on-going challenge. We develop a systematic methodology to determine the parameters and to statistically assess the results by considering thermochemical data across a set of transition metal compounds. We consider three interconnected levels of correction terms: (1) a constant oxygen binding correction, (2) Hubbard-U correction, and (3) DFT/DFT+U compatibility correction. The parameterization is expressed as a unified optimization problem. We demonstrate this approach for 3d transition metal oxides, considering a target set of binary and ternary oxides. With a total of 37 measured formation enthalpies taken from the literature, the dataset is augmented by the reaction energies of 1,710 unique reactions that were derived from the formation energies by systematic enumeration. To ensure a balanced dataset across the available data, the reactions were grouped by their similarity using clustering and suitably weighted. The parameterization is validated using leave-one-out cross-validation (CV), a standard technique for the validation of statistical models. We apply the methodology to the SCAN density functional. Based on the CV score, the error of binary (ternary) oxide formation energies is reduced by 40% (75%) to 0.10 (0.03) eV/atom. The method and tools demonstrated here can be applied to other classes of materials or to parameterize the corrections to optimize DFT+U performance for other target physical properties.
description: 49 pages, 8 figures, 1 table, 6 SI figure, 5 SI tables
EPIC 220204960: A Quadruple Star System Containing Two Strongly Interacting Eclipsing Binaries
Creators: name: Rappaport, S.
name: Vanderburg, A.
name: Borkovits, T.
name: Kalomeni, B.
name: Halpern, J. P.
name: Ngo, H.
name: Mace, G. N.
name: Fulton, B. J.
name: Howard, A. W.
name: Isaacson, H.
name: Petigura, E. A.
name: Mawet, D.
name: Kristiansen, M. H.
name: Jacobs, T. L.
name: LaCourse, D.
name: Bieryla, A.
name: Forgacs-Dajka, E.
name: Nelson, L.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present a strongly interacting quadruple system associated with the K2 target EPIC 220204960. The K2 target itself is a Kp = 12.7 magnitude star at Teff ~ 6100 K which we designate as "B-N" (blue northerly image). The host of the quadruple system, however, is a Kp = 17 magnitude star with a composite M-star spectrum, which we designate as "R-S" (red southerly image). With a 3.2" separation and similar radial velocities and photometric distances, 'B-N' is likely physically associated with 'R-S', making this a quintuple system, but that is incidental to our main claim of a strongly interacting quadruple system in 'R-S'. The two binaries in 'R-S' have orbital periods of 13.27 d and 14.41 d, respectively, and each has an inclination angle of >89 degrees. From our analysis of radial velocity measurements, and of the photometric lightcurve, we conclude that all four stars are very similar with masses close to 0.4 Msun. Both of the binaries exhibit significant ETVs where those of the primary and secondary eclipses 'diverge' by 0.05 days over the course of the 80-day observations. Via a systematic set of numerical simulations of quadruple systems consisting of two interacting binaries, we conclude that the outer orbital period is very likely to be between 300 and 500 days. If sufficient time is devoted to RV studies of this faint target, the outer orbit should be measurable within a year.
description: 20 pages, 18 figures, 7 tables; accepted for publication in MNRAS
Improved Cooperation by Exploiting a Common Signal
Creators: name: Danassis, Panayiotis
name: Erden, Zeki Doruk
name: Faltings, Boi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Multiagent Systems (cs.MA)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Can artificial agents benefit from human conventions? Human societies manage to successfully self-organize and resolve the tragedy of the commons in common-pool resources, in spite of the bleak prediction of non-cooperative game theory. On top of that, real-world problems are inherently large-scale and of low observability. One key concept that facilitates human coordination in such settings is the use of conventions. Inspired by human behavior, we investigate the learning dynamics and emergence of temporal conventions, focusing on common-pool resources. Extra emphasis was given in designing a realistic evaluation setting: (a) environment dynamics are modeled on real-world fisheries, (b) we assume decentralized learning, where agents can observe only their own history, and (c) we run large-scale simulations (up to 64 agents). Uncoupled policies and low observability make cooperation hard to achieve; as the number of agents grow, the probability of taking a correct gradient direction decreases exponentially. By introducing an arbitrary common signal (e.g., date, time, or any periodic set of numbers) as a means to couple the learning process, we show that temporal conventions can emerge and agents reach sustainable harvesting strategies. The introduction of the signal consistently improves the social welfare (by 258% on average, up to 3306%), the range of environmental parameters where sustainability can be achieved (by 46% on average, up to 300%), and the convergence speed in low abundance settings (by 13% on average, up to 53%).
description: Accepted to the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)
Variable selection in heteroscedastic single-index quantile regression
Creators: name: Christou, Eliana
name: Akritas, Michael G.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: We propose a new algorithm for simultaneous variable selection and parameter estimation for the single-index quantile regression (SIQR) model . The proposed algorithm, which is non iterative , consists of two steps. Step 1 performs an initial variable selection method. Step 2 uses the results of Step 1 to obtain better estimation of the conditional quantiles and , using them, to perform simultaneous variable selection and estimation of the parametric component of the SIQR model. It is shown that the initial variable selection method consistently estimates the relevant variables , and the estimated parametric component derived in Step 2 satisfies the oracle property.
Radiative decays of a singlet scalar boson through vector-like quarks
Creators: name: Yoon, Yeo Woong
name: Cheung, Kingman
name: Kang, Sin Kyu
name: Song, Jeonghyeon
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: If the standard model Higgs boson were much heavier, it would appear as a broad resonance since its decay into a pair of longitudinally polarized gauge bosons is highly enhanced. We study whether the same enhancement happens at loop level in a simple extension of the standard model with a singlet scalar boson $S$. In order to focus on the loop effects, we assume that $S$ does not interact with the standard model particles at tree level. The singlet scalar $S$ is linked to the standard model world by vector-like quarks running in the loop. We introduce three vector-like quark multiplets, an $SU(2)_L$ doublet, an up-type singlet, and a down-type singlet. There are two kinds of loop effects in the $S$ phenomenology, the mixing with the Higgs boson and the radiative decays into $hh$, $WW$, $ZZ$, $gg$, and $γγ$ through the triangle loops. We show that the crucial condition for enhancing loop effects including the longitudinal polarization enhancement is the large mass differences among vector-like quarks. The current LHC constraints on $S$ from the heavy scalar searches and the Higgs precision data are shown to be very significant: the mixing angle with the Higgs boson should be smaller than about 0.1 for $m_S= 750$ GeV.
description: 19 pages, 6 figures
Screening effects of superlattice doping on the mobility of GaAs two-dimensional electron system revealed by in-situ gate control
Creators: name: Akiho, Takafumi
name: Muraki, Koji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We investigate the screening effects of excess electrons in the doped layer on the mobility of a GaAs two-dimensional electron system (2DES) with a modern architecture using short-period superlattice (SL) doping. By controlling the density of excess electrons in the SL with a top gate while keeping the 2DES density constant with a back gate, we are able to compare 2DESs with the same density but different degrees of screening using one sample. Using a field-penetration technique and circuit-model analysis, we determine the density of states and excess electron density in the SL, quantities directly linked to the screening capability. The obtained relation between mobility and excess electron density is consistent with the theory taking into account the screening by the excess electrons in the SL. The quantum lifetime determined from Shubnikov-de Haas oscillations is much lower than expected from theory and did not show a discernible change with excess electron density.
description: 7 pages, 5 figures
Constraints on the Mass, Concentration, and Nonthermal Pressure Support of Six CLASH Clusters from a Joint Analysis of X-ray, SZ, and Lensing Data
Creators: name: Siegel, Seth R.
name: Sayers, Jack
name: Mahdavi, Andisheh
name: Donahue, Megan
name: Merten, Julian
name: Zitrin, Adi
name: Meneghetti, Massimo
name: Umetsu, Keiichi
name: Czakon, Nicole G.
name: Golwala, Sunil R.
name: Postman, Marc
name: Koch, Patrick M.
name: Koekemoer, Anton M.
name: Lin, Kai-Yang
name: Melchior, Peter
name: Molnar, Sandor M.
name: Moustakas, Leonidas
name: Mroczkowski, Tony K.
name: Pierpaoli, Elena
name: Shitanishi, Jennifer
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We present a joint analysis of Chandra X-ray observations, Bolocam thermal Sunyaev-Zel'dovich (SZ) effect observations, Hubble Space Telescope (HST) strong lensing data, and HST and Subaru Suprime-Cam weak lensing data. The multiwavelength dataset is used to constrain parametric models for the distribution of dark and baryonic matter in a sample of six massive galaxy clusters selected from the Cluster Lensing And Supernova survey with Hubble (CLASH). For five of the six clusters, the multiwavelength dataset is well described by a relatively simple model that assumes spherical symmetry, hydrostatic equilibrium, and entirely thermal pressure support. The joint analysis yields considerably better constraints on the total mass and concentration of the cluster compared to analysis of any one dataset individually. The subsample of five galaxy clusters is used to place an upper limit on the fraction of pressure support in the intracluster medium (ICM) due to nonthermal processes, such as turbulence and bulk flow of the gas. We constrain the nonthermal pressure fraction at r500c to be less than 0.11 at 95 percent confidence. This is in tension with state-of-the-art hydrodynamical simulations, which predict a nonthermal pressure fraction of approximately 0.25 at r500c for clusters of similar mass and redshift. This tension may be explained by the sample selection and/or our assumption of spherical symmetry.
description: 25 pages, 8 figures
Submodularity and Local Search Approaches for Maximum Capture Problems under Generalized Extreme Value Models
Creators: name: Dam, Tien Thanh
name: Ta, Thuy Anh
name: Mai, Tien
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We study the maximum capture problem in facility location under random utility models, i.e., the problem of seeking to locate new facilities in a competitive market such that the captured user demand is maximized, assuming that each customer chooses among all available facilities according to a random utility maximization model. We employ the generalized extreme value (GEV) family of discrete choice models and show that the objective function in this context is monotonic and submodular. This finding implies that a simple greed heuristic can always guarantee an (1-1/e) approximation solution. We further develop a new algorithm combining a greedy heuristic, a gradient-based local search and an exchanging procedure to efficiently solve the problem. We conduct experiments using instances of difference sizes and under different discrete choice models, and we show that our approach significantly outperforms prior approaches in terms of both returned objective value and CPU time. Our algorithm and theoretical findings can be applied to the maximum capture problems under various random utility models in the literature, including the popular multinomial logit, nested logit, cross nested logit, and the mixed logit models.
Additional file 3 of Serum anti-SPP1 autoantibody as a potential novel biomarker in detection of esophageal squamous cell carcinoma
Creators: name: Wang, Chen
name: Sun, Guiying
name: Wang, Huimin
name: Dai, Liping
name: Zhang, Jianying
name: Du, Renle
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 3. The uncropped images of western blotting strips of 20 sera in ELISA and a positive control.
Coordinating Collaborative Chat in Massive Open Online Courses
Creators: name: Tomar, Gaurav Singh
name: Sankaranarayanan, Sreecharan
name: Wang, Xu
name: Rosé, Carolyn Penstein
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: An earlier study of a collaborative chat intervention in a Massive Open Online Course (MOOC) identified negative effects on attrition stemming from a requirement for students to be matched with exactly one partner prior to beginning the activity. That study raised questions about how to orchestrate a collaborative chat intervention in a MOOC context in order to provide the benefit of synchronous social engagement without the coordination difficulties. In this paper we present a careful analysis of an intervention designed to overcome coordination difficulties by welcoming students into the chat on a rolling basis as they arrive rather than requiring them to be matched with a partner before beginning. The results suggest the most positive impact when experiencing a chat with exactly one partner rather than more or less. A qualitative analysis of the chat data reveals differential experiences between these configurations that suggests a potential explanation for the effect and raises questions for future research.
description: 8 pages
Additional file 2 of Serum anti-SPP1 autoantibody as a potential novel biomarker in detection of esophageal squamous cell carcinoma
Creators: name: Wang, Chen
name: Sun, Guiying
name: Wang, Huimin
name: Dai, Liping
name: Zhang, Jianying
name: Du, Renle
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 2. Microscopy images of Immunohistochemistry from ESCC tissue microarray.
Hilbert spaces built over metrics of fixed signature
Creators: name: Okolow, Andrzej
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct two Hilbert spaces over the set of all metrics of arbitrary but fixed signature, defined on a manifold. Every state in one of the Hilbert spaces is built of an uncountable number of wave functions representing some elementary quantum degrees of freedom, while every state in the other space is built of a countable number of them. Each Hilbert space is unique up to natural isomorphisms and carries a unitary representation of the diffeomorphism group of the underlying manifold. The Hilbert spaces constructed in the case of signature (3, 0) may be possibly used for canonical quantization of the ADM formulation of general relativity.
description: 51 pages, no figure, LaTeX, the accepted manuscript
PHL 5038AB: Is the brown dwarf causing pollution of its white dwarf host star?
Creators: name: Casewell, S. L.
name: Debes, J.
name: Dupuy, T. J.
name: Dufour, P.
name: Bonsor, A.
name: Rebassa-Mansergas, A.
name: Murillo-Ojeda, R.
name: French, J. R.
name: Alexander, R. D.
name: Xu, Siyi
name: Martin, E.
name: Manjavacas, E.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present new results on PHL 5038AB, a widely separated binary system composed of a white dwarf and a brown dwarf, refining the white and brown dwarf parameters and determining the binary separation to be $66^{+12}_{-24}$~AU. New spectra of the white dwarf show calcium absorption lines suggesting the hydrogen-rich atmosphere is weakly polluted, inferring the presence of planetesimals in the system, which we determine are in an S-type orbit around the white dwarf in orbits closer than 17-32 AU. We do not detect any infrared excess that would indicate the presence of a disc, suggesting all dust present has either been totally accreted or is optically thin. In this system, we suggest the metal pollution in the white dwarf atmosphere can be directly attributed to the presence of the brown dwarf companion disrupting the orbits of planetesimals within the system.
description: 8 pages, 5 figures, 3 tables. Accepted for publication in MNRAS
Revealing the ultra-fast outflow in IRAS 13224-3809 through spectral variability
Creators: name: Parker, Michael L.
name: Alston, William N.
name: Buisson, Douglas J. K.
name: Fabian, Andrew C.
name: Jiang, Jiachen
name: Kara, Erin
name: Lohfink, Anne
name: Pinto, Ciro
name: Reynolds, Christopher S.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present an analysis of the long-term X-ray variability of the extreme narrow-line Seyfert 1 (NLS1) galaxy IRAS 13224-3809 using principal component analysis (PCA) and fractional excess variability (Fvar) spectra to identify model-independent spectral components. We identify a series of variability peaks in both the first PCA component and Fvar spectrum which correspond to the strongest predicted absorption lines from the ultra-fast outflow (UFO) discovered by Parker et al. (2017). We also find higher order PCA components, which correspond to variability of the soft excess and reflection features. The subtle differences between RMS and PCA results argue that the observed flux-dependence of the absorption is due to increased ionization of the gas, rather than changes in column density or covering fraction. This result demonstrates that we can detect outflows from variability alone, and that variability studies of UFOs are an extremely promising avenue for future research.
description: 6 pages, 5 figures, accepted to MNRAS
Application of Genetic Algorithm to Estimate the Large Angular Scale Features of Cosmic Microwave Background
Creators: name: Nayak, Parth
name: Saha, Rajib
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Genetic Algorithm (GA) -- motivated by natural evolution -- is a robust method to estimate the global optimal solutions of problems involving multiple objective functions. In this article, for the first time, we apply GA to reconstruct the CMB temperature anisotropy map over large angular scales of the sky using (internal) linear combination (ILC) of the final-year WMAP and Planck satellite observations. To avoid getting trapped into a local minimum, we implement the GA with generous diversity in the populations by selecting pairs with diverse fitness coefficients and by introducing a small but significant amount of mutation of genes. We find that the new GA-ILC method produces a clean map which agrees very well with that obtained using the exact analytical expression of weights in ILC. By performing extensive Monte Carlo simulations of the CMB reconstruction using the GA-ILC algorithm, we find that residual foregrounds in the cleaned map are minimal and tend to occupy localized regions along the galactic plane. The CMB angular power spectrum shows no indication of any bias in the entire multipole range $2 \leq \ell \leq 32$ studied in this work. The error in the CMB angular power spectrum is also minimal and given entirely by the cosmic-variance-induced error. Our results agree well with those obtained by various other reconstruction methods by different research groups. This problem-independent robust GA-ILC method provides a flexible way towards the complex and challenging task of CMB component reconstruction in cosmology.
Incorporating Encoding into Quantum System Design
Creators: name: Kay, Alastair
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: When creating a quantum system whose natural dynamics provide useful computational operations, designers have two key tools at their disposal: the (constrained) choice of both the Hamiltonian and the the initial state of the system (an encoding). Typically, we fix the design, and utilise encodings post factum to tolerate experimental imperfections. In this paper, we describe a vital insight that incorporates encoding into the design process, with radical consequences. This transforms the study of perfect state transfer from the unrealistic scenario of specifying the Hamiltonian of an entire system to the far more realistic situation of being given a Hamiltonian over which we had no choice in the design, and designing time control of just two parameters to still achieve perfect transfer.
description: 10 pages, 5 figures
Towards AIOps in Edge Computing Environments
Creators: name: Becker, Soeren
name: Schmidt, Florian
name: Gulenko, Anton
name: Acker, Alexander
name: Kao, Odej
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Edge computing was introduced as a technical enabler for the demanding requirements of new network technologies like 5G. It aims to overcome challenges related to centralized cloud computing environments by distributing computational resources to the edge of the network towards the customers. The complexity of the emerging infrastructures increases significantly, together with the ramifications of outages on critical use cases such as self-driving cars or health care. Artificial Intelligence for IT Operations (AIOps) aims to support human operators in managing complex infrastructures by using machine learning methods. This paper describes the system design of an AIOps platform which is applicable in heterogeneous, distributed environments. The overhead of a high-frequency monitoring solution on edge devices is evaluated and performance experiments regarding the applicability of three anomaly detection algorithms on edge devices are conducted. The results show, that it is feasible to collect metrics with a high frequency and simultaneously run specific anomaly detection algorithms directly on edge devices with a reasonable overhead on the resource utilization.
Certifying the Classical Simulation Cost of a Quantum Channel
Creators: name: Doolittle, Brian
name: Chitambar, Eric
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A fundamental objective in quantum information science is to determine the cost in classical resources of simulating a particular quantum system. The classical simulation cost is quantified by the signaling dimension which specifies the minimum amount of classical communication needed to perfectly simulate a channel's input-output correlations when unlimited shared randomness is held between encoder and decoder. This paper provides a collection of device-independent tests that place lower and upper bounds on the signaling dimension of a channel. Among them, a single family of tests is shown to determine when a noisy classical channel can be simulated using an amount of communication strictly less than either its input or its output alphabet size. In addition, a family of eight Bell inequalities is presented that completely characterize when any four-outcome measurement channel, such as a Bell measurement, can be simulated using one communication bit and shared randomness. Finally, we bound the signaling dimension for all partial replacer channels in $d$ dimensions. The bounds are found to be tight for the special case of the erasure channel.
description: 31 pages, 3 figures
Asymptotic convergence for a class of anisotropic curvature flows
Creators: name: Li, Haizhong
name: Xu, Botong
name: Zhang, Ruijia
Publisher: name: arXiv
Year: 2021
Subjects: subject: Differential Geometry (math.DG)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: In this paper, by using new auxiliary functions, we study a class of contracting flows of closed, star-shaped hypersurfaces in $\mathbb{R}^{n+1}$ with speed $r^{\fracαβ}σ_k^{\frac{1}β}$, where $σ_k$ is the $k$-th elementary symmetric polynomial of the principal curvatures, $α$, $β$ are positive constants and $r$ is the distance from points on the hypersurface to the origin. We obtain convergence results under some assumptions of $k$, $α$, $β$. When $k\geq2$, $0
description: 25 pages, comments welcome
Imaging science with the MPIfR MeerKAT Galactic Plane Survey (MMGPS)
Creators: name: Damas-Segovia, Ancor
Publisher: name: Zenodo
Year: 2024

description: The MPIfR MeerKAT Galactic Plane Survey is a 3000-hour full polarization survey that covers 900 and 300 square degrees at L, S, and UHF band, respectively. This is the first SKA pathfinder survey where both continuum/imaging and time-domain surveys are observed commensally. This survey will have the broadest frequency coverage of the southern sky among the SKA pathfinder surveys. It will also produce a broadband Faraday rotation measure (RM) catalogue of extragalactic sources at a density of 25 per deg sq. The use of this RM grid and Faraday tomography of the diffuse radio emission will give us access to study the small and large scale magnetic fields of the Milky Way and background polarized sources with a quality never seen before. The Pipeline used to calibrate and image the MMGPS full Stokes data has been developed at the MPIfR -- the current state of the software can perform a full stokes calibration, multi scale imaging, polarization cubes, and self calibration of L and S band data from MeerKAT. Currently, the L band part of the survey is completely observed and final images show 7" resolution images with an rms noise of 16 µJy/beam at L band. The S band observations of the Galactic plane already began in collaboration with the South African Radio Astronomical Observatory (SARAO) with outstanding preliminary results. In this talk, we will present the first results of both L and S band surveys.
MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization
Creators: name: Kim, Han-Byul
name: Lee, Joo Hyung
name: Yoo, Sungjoo
name: Kim, Hong-Seok
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Mixed-precision quantization of efficient networks often suffer from activation instability encountered in the exploration of bit selections. To address this problem, we propose a novel method called MetaMix which consists of bit selection and weight training phases. The bit selection phase iterates two steps, (1) the mixed-precision-aware weight update, and (2) the bit-search training with the fixed mixed-precision-aware weights, both of which combined reduce activation instability in mixed-precision quantization and contribute to fast and high-quality bit selection. The weight training phase exploits the weights and step sizes trained in the bit selection phase and fine-tunes them thereby offering fast training. Our experiments with efficient and hard-to-quantize networks, i.e., MobileNet v2 and v3, and ResNet-18 on ImageNet show that our proposed method pushes the boundary of mixed-precision quantization, in terms of accuracy vs. operations, by outperforming both mixed- and single-precision SOTA methods.
description: Proc. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI)
Fairleigh Dickinson University's PublicMind: New Jersey October 2014 Poll
Creators: name: Fairleigh Dickinson University's PublicMind
Publisher: name: Roper Center for Public Opinion Research
Year: 2020

description: Registered to vote (1); how closely have you been following congressional elections (1); voter likelihood (1); voted in 2013 gubernatorial election (2); voted in 2012 presidential election (2); voted in last year's senate election (2); President Barack Obama job approval (1); country moving in right direction/wrong track (1); Republican nominee Jeff Bell vs. Senator Cory Booker for senate (1); Bell vs. former Senator Bill Bradley (1); favorability of candidates for Senate (2); amendment to New Jersey state constitution to allow judges to deny bail based on public safety (2); gold standard; same-sex marriage (1); climate change manmade or normal changes in atmosphere (1); no-fault divorce (1); Governor Chris Christie (2); New Jersey right direction/wrong track (1); Ebola virus (4); safety in different cities (6); casino or slots parlor in past 12 months (1); bet on sports or office pool (1).
A prototype of collaborative observatory of the octopus fishery in the southwest region of Madagascar
Creators: name: Randriatsara, Roddy Michel
name: Raberinary, Daniel
name: Mahafina, Jamal
name: Antion, Paul
name: Tsipy, Ronaldo
name: Léopold, Marc
Publisher: name: Zenodo
Year: 2022
Subjects: Madagascar
Fishery
Octopus

description: BackgroundOctopus (Octopus cyanea) fishing is an important part of the national economy and asource of income for fishers in Southwestern Madagascar. Buyers and fishers areaware of the decrease in octopus stocks. Currently, the Octopus ManagementCommittee (OMC) includes export companies, fishers' associations, andinternational organizations and is committed to ensuring the sustainability of thefishery through a spirit of co-management.MethodIn this context, an action research project has been conducted since 2021 to developa fishery information system through collaboration between research institutions andthe OMC. Workshops and field observations were carried out to establish a commonmonitoring protocol that would be implemented by partner NGOs to estimate thefollowing indicators of the octopus fishery in the region: number of fishers, fishingeffort, and catches per species.ResultsAn Android application was then developed using ODK Collect tool to facilitate datastorage in a centralized, online database hosted on a IH.SM’s server, Toliara. An RShiny application is developed to perform filtering and calculation of the desiredindicators (e.g., octopus catch size distribution, monthly calibrated catch per unit ofeffort), and visualize and map the results, that are eventually to be transferred to thefisher communities. A data sharing agreement is under discussion to formalize.ConclusionThis work has been based on Information and Communication Technologies (ICT)tools to contribute to science-based, collaborative fishery monitoring as anoperational approach to strengthen the co-management of the octopus fishery at thescale of the region.
Facets of the cone of exact games
Creators: name: Studený, Milan
name: Kratochvíl, Václav
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 91A12, 52B05, 90C57

description: The class of exact transferable utility coalitional games, introduced in 1972 by Schmeidler, has been studied both in the context of game theory and in the context of imprecise probabilities. We characterize the cone of exact games by describing the minimal set of linear inequalities defining this cone; these facet-defining inequalities for the exact cone appear to correspond to certain set systems (= systems of coalitions). We noticed that non-empty proper coalitions having non-zero coefficients in these facet-defining inequalities form set systems with particular properties. More specifically, we introduce the concept of a semi-balanced system of coalitions, which generalizes the classic concept of a balanced coalitional system in cooperative game theory. The semi-balanced coalitional systems provide valid inequalities for the exact cone and minimal semi-balanced systems (in the sense of inclusion of set systems) characterize this cone. We also introduce basic classification of minimal semi-balanced systems, their pictorial representatives and a substantial concept of an indecomposable (minimal) semi-balanced system of coalitions. The main result of the paper is that indecomposable semi-balanced systems are in one-to-one correspondence with facet-defining inequalities for the exact cone. The secondary relevant result is the rebuttal of a former conjecture claiming that a coalitional game is exact iff it is totally balanced and its anti-dual is also totally balanced. We additionally characterize those inequalities which are facet-defining both for the exact cone and the cone of totally balanced games.
description: 39 pages, to be submitted (probably) to Mathematical Methods of Operation Research
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Creators: name: Bond-Taylor, Sam
name: Leach, Adam
name: Long, Yang
name: Willcocks, Chris G.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: I.5.0; I.4.0; G.3
subject: 68T01 (Primary), 68T07 (Secondary)

description: Deep generative models are a class of techniques that train deep neural networks to model the distribution of training samples. Research has fragmented into various interconnected approaches, each of which make trade-offs including run-time, diversity, and architectural restrictions. In particular, this compendium covers energy-based models, variational autoencoders, generative adversarial networks, autoregressive models, normalizing flows, in addition to numerous hybrid approaches. These techniques are compared and contrasted, explaining the premises behind each and how they are interrelated, while reviewing current state-of-the-art advances and implementations.
description: 20 pages, 9 figures, will appear in IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface enhanced nonlinear Cherenkov radiation in one-dimensional nonlinear photonic crystal
Creators: name: Zhao, Xiaohui
name: Zheng, Yuanlin
name: Ren, Huaijin
name: An, Ning
name: Deng, Xuewei
name: Chen, Xianfeng
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We study the configuration of efficient nonlinear Cerenkov diffraction generated from a one-dimensional nonlinear photonic crystal surface, which underlies the incorporation of both quasi-phase-matching and total internal reflection by the crystal surface. Multidirectional radiation spots with different Cerenkov angles are demonstrated experimentally, which results from different orders of reciprocal vectors. At specific angles, the incident light and total internal reflect light associating with quasi-phase-matching format completely phase-matching scheme, leading to great enhancement of harmonic efficiency.