cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Standard Model-like D-brane models and gauge couplings
Creators: name: Hamada, Yuta
name: Kobayashi, Tatsuo
name: Uemura, Shohei
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We systematically search intersecting D-brane models, which just realize the Standard Model chiral matter contents and gauge symmetry. We construct new classes of non-supersymmetric Standard Model-like models. We also study gauge coupling constants of these models. The tree level gauge coupling is a function of compactification moduli, string scale, string coupling and winding number of D-branes. By tuning them, we examine whether the models can explain the experimental values of gauge couplings. As a result, we find that the string scale should be greater than $10^{14-15}$GeV if the compactification scale and the string scale are the same order.
description: 25 pgaes, 12 figures: v2 appendix added
title: Postharvest losses of agricultural commodities in Trincomalee, Sri Lanka
Creators: name: Dissanayaka, Dissanayaka Mudiyanselage Saman Kumara
name: Sammani, Abeysinghe Mudiyanselage Prabodha
name: Wolly Wijayaratne, Leanage Kanaka
name: Samaranayaka, Poorna Maheshika
name: Karunarathna, Lakshan Madusanka
name: Chandima, Niwanthi
name: Wijerathna, Ishara Maduwanthi
name: Harshana, Sanjeewa
name: Heshani, Anupama
name: Kalhari, Diluka
Publisher: name: Julius-Kühn-Institut
Year: 2018

description: In Sri Lanka, postharvest losses vary with the geographical area; higher losses are reported in warmer areas. A survey was conducted in Trincomalee district, one of the hottest areas in Sri Lanka, to ascertain the status of crop cultivation and postharvest losses of cultivated crops. Farming is the main livelihood of the people in the area. The main crops cultivated are paddy, red onion, chili, brinjal, tobacco and manioc; the average land extent possessed by a farmer family and the yield varies with the crop. Paddy, onion, and tobacco are stored for 6, 3, and 12 months, respectively. Paddy is stored indoor in bags, onion as racks (indoor), and tobacco as piles (indoor and outdoor) under shade conditions. During harvest, drying and storage losses occur in paddy and onion. Sitophilus oryzae, Rhyzopertha dominica, Sitotroga cerealella, and rats are the major problems during paddy storage. Pesticides are not used regularly by the farmers. Instead they practice traditional pest management methods.
description: Julius-Kühn-Archiv, Nr. 463, Vol.1 (2018): Proceedings of the 12th International Working Conference on Stored Product Protection (IWCSPP) in Berlin, Germany, October 7-11, 2018
Multilevel polynomial partitions and simplified range searching
Creators: name: Matousek, Jiri
name: Patakova, Zuzana
Publisher: name: arXiv
Year: 2014
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Algebraic Geometry (math.AG)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 68U05, 68W30, 14Q20

description: The polynomial partitioning method of Guth and Katz [arXiv:1011.4105] has numerous applications in discrete and computational geometry. It partitions a given $n$-point set $P\subset\mathbb{R}^d$ using the zero set $Z(f)$ of a suitable $d$-variate polynomial $f$. Applications of this result are often complicated by the problem, what should be done with the points of $P$ lying within $Z(f)$? A natural approach is to partition these points with another polynomial and continue further in a similar manner. So far it has been pursued with limited success---several authors managed to construct and apply a second partitioning polynomial, but further progress has been prevented by technical obstacles. We provide a polynomial partitioning method with up to $d$ polynomials in dimension $d$, which allows for a complete decomposition of the given point set. We apply it to obtain a new algorithm for the semialgebraic range searching problem. Our algorithm has running time bounds similar to a recent algorithm by Agarwal, Sharir, and the first author [SIAM~J.~Comput. 42(2013) 2039--2062], but it is simpler both conceptually and technically. While this paper has been in preparation, Basu and Sombra, as well as Fox, Pach, Sheffer, Suk, and Zahl, obtained results concerning polynomial partitions which overlap with ours to some extent.
description: 19 pages; The proof that the Groebner basis can be effectively computed is stated in more detail
A scalable quasi-Newton estimation algorithm for dynamic generalised linear models
Creators: name: Guo, Guangbao
name: Qian, Guoqi
name: Zhu, Lixing
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: This research develops a scalable computing method based on quasi-Newton algorithm for several estimation problems in dynamic generalised linear models (DGLMs). The new method is developed by applying the principle of maximising a pointwise penalised quasi-likelihood (PPQ) for a DGLM for observed data often of massive size. Statistical and computational challenges involved in this development have been effectively tackled by exploiting the specific block structure and sparsity involved in the underlying projection matrix. The obtained maximum PPQ estimator of the state vector in the DGLM has been shown to be consistent and asymptotically normal under regularity conditions. Numerical studies and real data applications are conducted to assess the performance of the developed method.
title: Who do you think you are? A curriculum of identity built on Kitasoo Xai'xais values
Creators: name: Fraser, Lorna D.
Publisher: name: Electronic version published by Vancouver Island University
Year: 2020
Subjects: subject: Identity (Philosophical concept)
subject: Indigenous peoples--Education

description: In the spirit of Reconciliation, Canada has told its citizens that they have a responsibility to rebuild relationships with Indigenous peoples. Indigenous people want an education for their children that does not compromise their unique identity. Indigenous scholars have demonstrated how it is possible to achieve a meaningful and authentic education experience for Indigenous learners by leading with Land and Cultural based learning. Moreover, it has been shown that Land and Cultural Based Learning will not only increase indigenous graduation rates, but will provide the skills required for all learners as we move forward in the 21st century. Research has shown that education needs to be done differently in order to prepare our future leaders for the fast and ever-changing new world they will be facing post education. This Masters of Educational Leadership project will demonstrate that by teaching Indigenous core values we can uplift cultural identity, and achieve the goals of British Columbia’s Ministry of Education’s Redesigned curriculum. This project will leave educators with an example of how to create instructional plans that incorporate Indigenous knowledge grounded in core values which will meet the goals that Canada, Provincial curricula, and Indigenous Peoples have mandated.
Improvement on LASSO-type estimator in nonparametric regression
Creators: name: Matsushima, Yuki
name: Naito, Kanta
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Space Science
Biotechnology
Environmental Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified

description: This paper is concerned with nonparametric regression with multi-dimensional, possibly high-dimensional, explanatory variables. A new ℓ1-penalisation approach is proposed on the basis of the idea of slicing off waste restriction. The new approach can implement the variable selection and estimate the regression function simultaneously. The approach also develops the consistency of the variable selection and the asymptotic theory of regression estimator, thus highlighting the advantages of the proposed penalisation approach. Simulation results show that the proposed approaches for variable selection work efficiently, and the associated regression estimators perform well. Applications to some real data sets also reveal that the proposed methods yield reasonable and stable solutions for nonparametric regression problems.
Field induced conducting state in Mott insulator
Creators: name: Zhang, X. Z.
name: Song, Z.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Electron--electron repulsion, on the one hand, can result in bound pair, which has heavy effective mass. On the other hand, it is also the cause of Mott insulator. We study the effect of a staggered magnetic field on a Hubbard model. We find that a bound pair with large energy bandwidth can be formed under the resonant staggered field, being the half of Hubbard repulsion strength. Accordingly, the system exhibits following dynamical behaviors: (i) When an electric field is applied, fast bound pair Bloch oscillation occurs, while a single electron is frozen. (ii) When a quenching resonant field is applied to an initial antiferromagnetic Mott insulating state, the final state becomes doublon conducting state manifested by the non-zero $η$ correlator and large charge fluctuation. Our finding indicates that the cooperation of electron-electron correlation and modulated external field can induce novel quench dynamics.
description: 9 pages, 6 figures
Probing the Constituent Structure of Black Holes
Creators: name: Gruending, Lukas
name: Hofmann, Stefan
name: Müller, Sophia
name: Rug, Tehseen
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Based on recent ideas, we propose a framework for the description of black holes in terms of constituent graviton degrees of freedom. Within this formalism a large black hole can be understood as a bound state of N longitudinal gravitons. In this context black holes are similar to baryonic bound states in quantum chromodynamics which are described by fundamental quark degrees of freedom. As a quantitative tool we employ a quantum bound state description originally developed in QCD that allows to consider black holes in a relativistic Hartree like framework. As an application of our framework we calculate the cross section for scattering processes between graviton emitters outside of a Schwarzschild black hole and absorbers in its interior, that is gravitons. We show that these scatterings allow to directly extract structural observables such as the momentum distribution of black hole constituents.
description: Extended version, accepted for publication in JHEP
Bayesian evaluation of residual production cross sections in proton induced spallation reactions
Creators: name: Dan, Peng
name: Wei, Hui-Ling
name: Chen, Xi-Xi
name: Wei, Xiao-Bao
name: Wang, Yu-Ting
name: Pu, Jie
name: Cheng, Kai-Xuan
name: Ma, Chun-Wang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The Bayesian neural network (BNN) method is used to construct a predictive model for fragment prediction of proton induced spallation reactions with the guidance of a simplified EPAX formula. Compared to the experimental data, it is found that the BNN + sEPAX model can reasonably extrapolate with less information compared with BNN method. The BNN + sEPAX method provides a new approach to predict the energy-dependent residual cross sections produced in proton-induced spallation reactions from tens of MeV/u up to several GeV/u.
description: 9 pages, 1 table, and 7 figures
A cohomological framework for homotopy moment maps
Creators: name: Fregier, Yael
name: Laurent-Gengoux, Camille
name: Zambon, Marco
Publisher: name: arXiv
Year: 2014
Subjects: subject: Differential Geometry (math.DG)
subject: Quantum Algebra (math.QA)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics

description: Given a Lie group acting on a manifold $M$ preserving a closed $n+1$-form $ω$, the notion of homotopy moment map for this action was introduced in Callies-Fregier-Rogers-Zambon [6], in terms of $L_{\infty}$-algebra morphisms. In this note we describe homotopy moment maps as coboundaries of a certain complex. This description simplifies greatly computations, and we use it to study various properties of homotopy moment maps: their relation to equivariant cohomology, their obstruction theory, how they induce new ones on mapping spaces, and their equivalences. The results we obtain extend some of the results of [6].
description: 18 pages, final version. Added reference [16] by L. Ryvkin and T. Wurzbacher, who obtain independently results similar to ours putting an emphasis on the differential geometry of multisymplectic forms
title: Story studios: inspiring, creating and sharing stories of transformation
Creators: name: D’Aoust, Claire R.
Publisher: name: Electronic version published by Vancouver Island University
Year: 2020
Subjects: subject: Storytelling

description: Story Studios in Delta have three elements. First, a Story Studio is a place, a site of learning both inside and outside where learners experience hands-on exploration and use loose parts and story materials to tell learning stories. Second, Story Studio is a pedagogical approach, with foundations in relationships, identity, inclusion, and emergent curricula. It is a way of thinking about and interacting with learners, supported by the framework: Inspire, Create, Share. Third, Story Studio offers new ways of teaching and learning, inspiring personal and systemic transformation. This narrative inquiry deeply explored the lived experiences and stories of one intermediate class visiting the Story Studio over three field trip visits to learn about the process of transformation and the elements that support it. Primary data consisted of student learning stories that were shared during the field trip experiences and a student focus group discussion on the final day. Secondary data included educator interviews and researcher observations and reflections to add texture to the students’ voices. Data was qualitatively coded and learning stories were created. Place-based learning, Engagement, and Transformation emerged as major themes that were presented by layering student stories with photos, direct quotes, researcher observations, student focus group responses, and classroom educators’ interview responses. Story Studios were found to create transformation for both students and educators by designing opportunities to learn and reflect upon learning in new ways that were deeply connected to local places. Educators can bring themes of transformation into their classrooms and the places surrounding them inspired by Story Studios.
Issues with Positivity-Preserving Patankar-type Schemes
Creators: name: Torlo, Davide
name: Öffner, Philipp
name: Ranocha, Hendrik
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65L06, 65L20, 65L04

description: Patankar-type schemes are linearly implicit time integration methods designed to be unconditionally positivity-preserving. However, there are only little results on their stability or robustness. We suggest two approaches to analyze the performance and robustness of these methods. In particular, we demonstrate problematic behaviors of these methods that, even on very simple linear problems, can lead to undesired oscillations and order reduction for vanishing initial condition. Finally, we demonstrate in numerical simulations that our theoretical results for linear problems apply analogously to nonlinear stiff problems.
Prospects for direct detection of dark matter in an effective theory approach
Creators: name: Catena, Riccardo
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We perform the first comprehensive analysis of the prospects for direct detection of dark matter with future ton-scale detectors in the general 11-dimensional effective theory of isoscalar dark matter-nucleon interactions mediated by a heavy spin-1 or spin-0 particle. The theory includes 8 momentum and velocity dependent dark matter-nucleon interaction operators, besides the familiar spin-independent and spin-dependent operators. From a variegated sample of 27 benchmark points selected in the parameter space of the theory, we simulate independent sets of synthetic data for ton-scale Germanium and Xenon detectors. From the synthetic data, we then extract the marginal posterior probability density functions and the profile likelihoods of the model parameters. The associated Bayesian credible regions and frequentist confidence intervals allow us to assess the prospects for direct detection of dark matter at the 27 benchmark points. First, we analyze the data assuming the knowledge of the correct dark matter nucleon-interaction type, as it is commonly done for the familiar spin-independent and spin-dependent interactions. Then, we analyze the simulations extracting the dark matter-nucleon interaction type from the data directly, in contrast to standard analyses. This second approach requires an extensive exploration of the full 11-dimensional parameter space of the dark matter-nucleon effective theory. Interestingly, we identify 5 scenarios where the dark matter mass and the dark matter-nucleon interaction type can be reconstructed from the data simultaneously. We stress the importance of extracting the dark matter nucleon-interaction type from the data directly, discussing the main challenges found addressing this complex 11-dimensional problem.
description: 23 pages, 7 figures, replaced to match the published version
Self-avoidant memory effects on enhanced diffusion in a stochastic model of environmentally responsive swimming droplets
Creators: name: Daftari, Katherine
name: Newhall, Katherine A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 60K50, 60G99, 82D03

description: Enhanced diffusion is an emergent property of many experimental microswimmer systems that usually arises from a combination of ballistic motion with random reorientations. A subset of these systems, autophoretic droplet swimmers that move as a result of Marangoni stresses, have additionally been shown to respond to local, self-produced chemical gradients that can mediate self-avoidance or self-attraction. Via this mechanism, we present a mathematical model constructed to encode experimentally observed self-avoidant memory and numerically study the effect of this particular memory on the enhanced diffusion of such swimming droplets. To disentangle the enhanced diffusion due to the random reorientations from the enhanced diffusion due to the self-avoidant memory, we compare to the widely-used active Brownian model. Paradoxically, we find that the enhanced diffusion is substantially suppressed by the self-avoidant memory relative to that predicted by only an equivalent reorientation persistence timescale in the active Brownian model. We attribute this to transient self-caging that we propose is novel for self-avoidant systems. Additionally, we further explore the model parameter space by computing emergent parameters that capture the velocity and reorientation persistence, thus finding a finite parameter domain in which enhanced diffusion is observable.
description: 15 pages, 5 figures
Kernel method for corrections to scaling
Creators: name: Harada, Kenji
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Scaling analysis, in which one infers scaling exponents and a scaling function in a scaling law from given data, is a powerful tool for determining universal properties of critical phenomena in many fields of science. However, there are corrections to scaling in many cases, and then the inference problem becomes ill-posed by an uncontrollable irrelevant scaling variable. We propose a new kernel method based on Gaussian process regression to fix this problem generally. We test the performance of the new kernel method for some example cases. In all cases, when the precision of the example data increases, inference results of the new kernel method correctly converge. Because there is no limitation in the new kernel method for the scaling function even with corrections to scaling, unlike in the conventional method, the new kernel method can be widely applied to real data in critical phenomena.
description: 8 pages, 5 figures, the reference code of this new method is prepared at http://kenjiharada.github.io/BSA/
title: Abundance of insects in rice mills in Polonnaruwa, Sri Lanka
Creators: name: Sajeewani, Panamulla Arachchige Hasitha
name: Karunarathne, Edirimunhie Vishwa Udani Perera
name: Wijerathne, Karyawasam Bovithanthri Thanushi Thamodhi
name: Mahalekam, Mahalekam Prasadi Samudika
name: Rupasinghe, Mangappulige Dona Madhushika Chathurangie
name: Dissanayaka, Dissanayaka Mudiyanselage Saman Kumara
name: Wolly Wijayaratne, Leanage Kanaka
name: Sammani, Abeysinghe Mudiyanselage Prabodha
Publisher: name: Julius-Kühn-Institut
Year: 2018

description: Monitoring of insect population is a prerequisite for integrated pest management attempts. The complex structures/machines in rice milling facilities, however, limit surveying attempts aggravating the ignorance of insect fauna associated with such facilities. Furthermore, insect surveys conducted in Sri Lanka are very rare. The objective of the current study was to determine the presence, diversity, and abundance of insects in rice mills of varying capacity as found in a major rice processing area in Sri Lanka. A group of large-, medium-, and smallscale mills were used for the survey. Samples were collected from different locations in the mills, and the density of insects at each location was determined. Insect species and their abundance varied with the type of mill as well as with the location in the mill. This information is useful to design and implement pest management for the mills.
description: Julius-Kühn-Archiv, Nr. 463, Vol.1 (2018): Proceedings of the 12th International Working Conference on Stored Product Protection (IWCSPP) in Berlin, Germany, October 7-11, 2018
Updated Health Goal Message Framing Meta-Analysis
Creators: name: Siu Kit Yeung
Publisher: name: OSF Registries
Year: 2023
Subjects: subject: Social and Behavioral Sciences

description: This is a pre-registration of an updated meta-analysis on the health goal/message framing literature. See attached pre-registration document for details (list of authors, hypotheses, planned search method, planned data analytical methods, etc).
The Stacked Thermal SZ Signal of Locally Brightest Galaxies in Planck Full Mission Data: Evidence for Galaxy Feedback?
Creators: name: Greco, Johnny P.
name: Hill, J. Colin
name: Spergel, David N.
name: Battaglia, Nicholas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We use the Planck full mission temperature maps to examine the stacked thermal Sunyaev-Zel'dovich (tSZ) signal of 188042 "locally brightest galaxies'" (LBGs) selected from the Sloan Digital Sky Survey Data Release 7. Our LBG sample closely matches that of Planck Collaboration XI (2013, PCXI) but our analysis differs in several ways. We work directly in terms of physically observable quantities, requiring minimal assumptions about the gas pressure profile. We explicitly model the dust emission from each LBG and simultaneously measure both the stacked tSZ and dust signals as a function of stellar mass $M_*$. There is a small residual bias in stacked tSZ measurements; we measure this bias and subtract it from our results, finding that the effects are non-negligible at the lowest masses in the LBG sample. Finally, we compare our measurements with two pressure profile models, finding that the profile from Battaglia et al. (2012b) provides a better fit to the results than the Arnaud et al. (2010) "universal pressure profile." However, within the uncertainties, we find that the data are consistent with a self-similar scaling with mass --- more precise measurements are needed to detect the relatively small deviations from self-similarity predicted by these models. Consistent with PCXI, we measure the stacked tSZ signal from LBGs with stellar masses down to $\log_{10}(M_*/M_{\odot}) \sim 11.1-11.3$. For lower stellar masses, however, we do not see evidence for a stacked tSZ signal. We note that the stacked dust emission is comparable to, or larger than, the stacked tSZ signal for $\log_{10}(M_*/M_{\odot}) \lesssim 11.3$. Future tSZ analyses with larger samples and lower noise levels should be able to probe deviations from self-similarity and thus provide constraints on models of feedback and the evolution of hot halo gas over cosmic time.
description: 12 pages, 8 figures; published in ApJ
The density distribution and physical origins of intermittency in supersonic, highly magnetised turbulence with diverse modes of driving
Creators: name: Beattie, James R.
name: Mocz, Philip
name: Federrath, Christoph
name: Klessen, Ralf S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The probability density function (PDF) of the logarithmic density contrast, $s=\ln (ρ/ρ_0)$, with gas density $ρ$ and mean density $ρ_0$, for hydrodynamical supersonic turbulence is well-known to have significant non-Gaussian (intermittent) features that monotonically increase with the turbulent Mach number, $\mathcal{M}$. By studying the mass- and volume-weighted $s$-PDF for an ensemble of 36 sub-to-trans-Alfvenic mean-field, supersonic, isothermal turbulence simulations with different modes of driving, relevant to molecular gas in the cool interstellar medium, we show that a more intricate picture emerges for the non-Gaussian nature of $s$. Using four independent measures of the non-Gaussian components, we find hydrodynamical-like structure in the highly magnetised plasma for $\mathcal{M} \lesssim 4$. However, for $\mathcal{M} \gtrsim 4$, the non-Gaussian signatures disappear, leaving approximately Gaussian $s$-statistics -- exactly the opposite of hydrodynamical turbulence in the high-$\mathcal{M}$ limit. We also find that the non-Gaussian components of the PDF increase monotonically with more compressive driving modes. To understand the $\mathcal{M} \lesssim 4$ non-Gaussian features we use one-dimensional (1D) pencil beams to explore the dynamics along and across the large-scale magnetic field, $\mathbf{B}_0$. We discuss kinetic, density and magnetic field fluctuations from the pencil beams, and identify physical sources of non-Gaussian components to the PDF as single, strong shocks coupled to fast magnetosonic compressions that form along $\mathbf{B}_0$. We discuss the Gaussianisation of the $\mathcal{M} \gtrsim 4$ $s$-fields through the lens of two phenomenologies: the self-similarity of the $s$-field and homogenisation of the dynamical timescales between the over- and under-dense regions in the compressible gas.
description: 32 pages, 24 figures (6 in Appendix). Accepted in MNRAS
title: COVID-19 adaptation and recovery: Human resource and training needs in Whistler, BC
Creators: name: Axe, Jo
name: Wilson-Mah, Rebecca
Publisher: name: Zero Ceiling
Year: 2020
Subjects: COVID-19
British Columbia

description: Archived in VIURRSpace with permission from Zero Ceiling.
description: This report documents a qualitative research project conducted between May and July 2020 by two researchers from Royal Roads University. The focus of the project was to understand more fully the Human Resource (HR) and training needs of Whistler employers during the early stages of the COVID-19 pandemic. These needs were explored in the following sectors: food and beverage, retail, accommodation, and not-for-profit. The research will assist organizations in these four sectors in Whistler as they adapt and respond to the changing pandemic environment. A literature review explored several major catastrophes with an emphasis on recovery strategies. Ten recovery strategies were identified in the literature, as well as seven lessons learned. Four virtual focus groups were held with representatives from each of the four sectors; these representatives were primarily managers and owners of Whistler-based organizations. A qualitative analysis software program was used to aid in the identification of themes. The resulting themes were further analyzed to develop the findings and recommendations presented in this report. Throughout the discussions with the research participants, there were several consistent findings. The questions and findings are organized into two areas: (1) HR needs, as organizations began to open operations, and (2) professional development and training needs. With respect to HR needs, the following five needs were identified as common issues: staffing, adaptability, uncertainty, communication, and strategies for working in the COVID-19 pandemic. With regard to professional development and training needs, all sectors identified conflict resolution and difficult conversations as priorities. The report lists the training and development needs by sector for managers and owners, and staff and volunteers. The research culminated in the development of the 4C model which focusses on workplace adaptation and recovery. The research will have relevance not only to Whistler, but also to other resort communities that have an economy that is reliant on tourism and hospitality.
Phase 1 - Validation papers from the International Sex Survey (ISS)
Creators: name: Bőthe, Beáta
name: Demetrovics, Zsolt
name: Kraus, Shane
name: Potenza, Marc
name: Koós, Mónika
name: Nagy, Léna
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Psychology
subject: FOS: Psychology
subject: Social and Behavioral Sciences

description: The first overarching aim of the International Sex Survey (ISS) is to validate and provide publicly available scales that can reliably and validly assess different sexual behaviors and related constructs (Bőthe, Koós, et al., 2021). Therefore, Phase 1 publications from the ISS dataset focus on this primary aim. We plan to write all validation papers between September 2022 and August 2023. For the sake of simplicity, this document presents all scales validated in the study and describes the methodological aspects and decisions related to all validation papers, as all papers will follow the same general steps. In addition: - Analysis codes and syntaxes related to a specific paper will be added to the given paper’s OSF folder. - If any additional analysis is conducted in a specific validation paper, it will be preregistered separately and added to the specific paper’s OSF folder and/or clearly indicated in the paper that it was an additional or post hoc analysis. - If any deviations appear in any validation papers compared to the preregistered methods, they will be added to the specific paper’s OSF folder and the paper.
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution
Creators: name: Zhang, Yuantong
name: Wang, Huairui
name: Zhu, Han
name: Chen, Zhenzhong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this paper, we consider the task of space-time video super-resolution (ST-VSR), which can increase the spatial resolution and frame rate for a given video simultaneously. Despite the remarkable progress of recent methods, most of them still suffer from high computational costs and inefficient long-range information usage. To alleviate these problems, we propose a Bidirectional Recurrence Network (BRN) with the optical-flow-reuse strategy to better use temporal knowledge from long-range neighboring frames for high-efficiency reconstruction. Specifically, an efficient and memory-saving multi-frame motion utilization strategy is proposed by reusing the intermediate flow of adjacent frames, which considerably reduces the computation burden of frame alignment compared with traditional LSTM-based designs. In addition, the proposed hidden state in BRN is updated by the reused optical flow and refined by the Feature Refinement Module (FRM) for further optimization. Moreover, by utilizing intermediate flow estimation, the proposed method can inference non-linear motion and restore details better. Extensive experiments demonstrate that our optical-flow-reuse-based bidirectional recurrent network (OFR-BRN) is superior to state-of-the-art methods in accuracy and efficiency.
description: new submit
Hidden Crossover Phenomena in Strongly Pauli Limited Multiband Superconductors ---Application to CeCu$_2$Si$_2$
Creators: name: Tsutsumi, Yasumasa
name: Machida, Kazushige
name: Ichioka, Masanori
Publisher: name: arXiv
Year: 2014
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Motivated by recent experiments on heavy fermion materials CeCu$_2$Si$_2$ and UBe$_{13}$, we develop a framework to capture generic properties of multiband superconductors with strong Pauli paramagnetic effect (PPE). In contrast to the single band case, the upper critical field $H_{\rm c2}$ can remain second order transition even for strong PPE cases. The expected first order transition is hidden inside $H_{\rm c2}$ and becomes a crossover due to the interplay of multibandness. The present theory based on full self-consistent solutions of the microscopic Eilenberger theory explains several mysterious anomalies associated with the crossover and the "empty" vortex core state which is observed by recent STM experiment on CeCu$_2$Si$_2$.
description: 5 pages, 4 figures + 3 pages, 1 figure (supplementary material), published version
Dynamical stability of Minkowski space in higher order gravity
Creators: name: Tretyakov, Petr V.
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We discuss the Minkowski stability problem in modified gravity by using dynamical system approach. The method to investigate dynamical stability of Minkowski space was proposed. This method was applied for some modified gravity theories, such as $f(R)$ gravity, $f(R)+αR\Box R$ gravity and scalar-tensor gravity models with non-minimal kinetic coupling. It was shown that in the case of $f(R)$ gravity Minkowski solution asymptotically stable in ghost-free ($f'>0$) and tachyon-free ($f">0$) theories in expanding Universe with respect to isotropic and basic anisotropic perturbations. In the case of higher order gravity with $αR\Box R$ correction conditions of Minkowski stability with respect to isotropic perturbations significantly different: $f'(0)<0$, $f"(0)<0$ and $3f'(0)+f"(0)^2/α>0$. And in the case of scalar-tensor gravity with non-minimal kinetic coupling Minkowski solution asymptotically stable in expanding Universe with respect to isotropic perturbations of metric. Moreover the developed method may be used for finding additional restrictions on parameters of different modified gravity theories.
description: 15 pages; version accepted for publication in IJGMMP
On two-dimensional Hamiltonian systems with sixth-order integrals of motion
Creators: name: Porubov, E. O.
name: Tsiganov, A. V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: Dynamical Systems (math.DS)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We obtain 21 two-dimensional natural Hamiltonian systems with sextic invariants, which are polynomial of the sixth order in momenta. Following to Bertrand, Darboux, and Drach these results of the standard brute force experiments can be applied to construct a new mathematical theory.
description: LaTeX with amsfonts, 15 pages
Minimax estimation in multi-task regression under low-rank structures
Creators: name: Bak, Kwan-Young
name: Koo, Ja-Yong
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Science Policy
Computational Biology

description: This study investigates the minimaxity of a multi-task nonparametric regression problem. We formulate a simultaneous function estimation problem based on information pooling across multiple experiments under a low-dimensional structure. A nonparametric reduced rank regression estimator based on the nuclear norm penalisation scheme is proposed to incorporate the low-dimensional structure in the estimation process. A rank of a set of functions is defined in terms of their Fourier coefficients to formally characterise the dependence structure among functions. Minimax upper and lower bounds are established under various asymptotic scenarios to examine the role of the low-rank structure in determining optimal rates of convergence. The results confirm that exploiting the low-rank structure can significantly improve the convergence rate for the simultaneous estimation of multiple functions. The results also imply that the proposed estimator is rate optimal in the minimax sense for the rank-constraint Sobolev class of vector-valued functions.
TINCHLIK VA BARQARORLIKNI TA'MINLASHDA MILLATLARARO TOTUVLIK VA DINIY BAG'RIKENGLIKNING O'RNI
Creators: name: Niyazov, Zafar
Publisher: name: Zenodo
Year: 2023

description: Ushbu maqolada tinchlik va barqarorlikni ta'minlashda millatlararo totuvlik, diniy bag'rikenglikning o'rni haqida so'z boradi. Bunda tarixiy ma'lumotlarga tayanib, mavjud ilmiy adabiyotlar asosida tinchlik va barqarorlikni ta'minlashda millatlararo totuvlik, diniy bag'rikenglik o'rni bo'yicha o'ziga xos jihatlar o'rganildi va tahlil qilindi.
Recursive kernel estimator in a semiparametric regression model
Creators: name: De Dieu Nkou, Emmanuel
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Space Science
Medicine
Neuroscience
Biotechnology
Environmental Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified

description: Sliced inverse regression (SIR) is a recommended method to identify and estimate the central dimension reduction (CDR) subspace. CDR subspace is at the base to describe the conditional distribution of the response Y given a d-dimensional predictor vector X. To estimate this space, two versions are very popular: the slice version and the kernel version. A recursive method of the slice version has already been the subject of a systematic study. In this paper, we propose to study the kernel version. It's a recursive method based on a stochastic approximation algorithm of the kernel version. The asymptotic normality of the proposed estimator is also proved. A simulation study that not only shows the good numerical performance of the proposed estimate and which also allows to evaluate its performance with respect to existing methods is presented. A real dataset is also used to illustrate the approach.
Anomalous Scaling of the Penetration Depth in Nodal Superconductors
Creators: name: She, Jian-Huang
name: Lawler, Michael J.
name: Kim, Eun-Ah
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Recent findings of anomalous super-linear scaling of low temperature ($T$) penetration depth (PD) in several nodal superconductors near putative quantum critical points suggest that the low temperature PD can be a useful probe of quantum critical fluctuations in a superconductor. On the other hand, cuprates which are poster child nodal superconductors have not shown any such anomalous scaling of PD, despite growing evidence of quantum critical points. Then it is natural to ask when and how can quantum critical fluctuations cause anomalous scaling of PD? Carrying out the renormalization group calculation for the problem of two dimensional superconductors with point nodes, we show that quantum critical fluctuations associated with point group symmetry reduction result in non-universal logarithmic corrections to the $T$-dependence of the PD. The resulting apparent power law depends on the bare velocity anisotropy ratio. We then compare our results to data sets from two distinct nodal superconductors: YBa$_2$Cu$_3$O$_{6.95}$ and CeCoIn$_5$. Considering all symmetry-lowering possibilities of the point group of interest, $C_{4v}$, we find our results to be remarkably consistent with YBa$_2$Cu$_3$O$_{6.95}$ being near vertical nematic QCP, and CeCoIn$_5$ being near diagonal nematic QCP. Our results motivate search for diagonal nematic fluctuations in CeCoIn$_5$.
description: Published version, 12 pages, 3 figures, 1 table
Versorgung von chronisch Kranken in Deutschland - Herausforderungen in Zeiten der COVID-19-Pandemie
Creators: name: Scheidt-Nave, Christa
name: Barnes, Benjamin
name: Beyer, Ann-Kristin
name: Busch, Markus
name: Hapke, Ulfert
name: Heidemann, Christin
name: Imhoff, Maren
name: Mumm, Rebekka
name: Paprott, Rebecca
name: Steppuhn, Henriette
name: Von Berenberg-Gossler, Petra
name: Kraywinkel, Klaus
Publisher: name: Robert Koch-Institut
Year: 2020
Subjects: subject: Chronische Krankheit
subject: Versorgung
subject: Inanspruchnahme
subject: Gesundheitsfolgen
subject: COVID-19-Pandemie
subject: Deutschland
subject: 610 Medizin und Gesundheit

description: Die medizinische Versorgung wird durch die COVID-19-Pandemie vor große Herausforderungen gestellt. Das vorliegende Scoping Review trägt Hinweise auf bisherige Veränderungen der Versorgungsangebote und der Inanspruchnahme sowie mögliche gesundheitliche Folgen für ausgewählte Gruppen chronisch kranker Menschen in Deutschland zusammen. Der Fokus liegt auf Krebserkrankungen, Herz-Kreislauf-Erkrankungen, Diabetes mellitus und psychischen Störungen. Empirische Daten liegen überwiegend für den stationären Bereich vor und zeigen einen deutlichen Rückgang stationärer Behandlungen im März/April 2020 im Bereich der Onkologie und der Kardiologie sowie bei psychischen Störungen. Für kardiovaskuläre Notfälle wie Herzinfarkt und Schlaganfall wurde ein Rückgang vor allem bei leichteren Fällen beobachtet. Bislang liegen einige Hinweise auf verzögerte Inanspruchnahme, jedoch keine Hinweise auf Beeinträchtigung der Notfallversorgung durch Anpassung stationärer Versorgungskapazitäten vor. Im ambulanten Bereich kam es für alle betrachteten Krankheitsgruppen zu umfassenden Anpassungen der Versorgungsangebote. Die empirische Datenlage ist insgesamt noch sehr begrenzt. Insbesondere liegen kaum Daten zu gesundheitlichen Auswirkungen durch Veränderungen in der Versorgung vor. Es besteht dringender Bedarf für kontinuierliche Begleit- und Evaluationsforschung auf der Basis von Versorgungsdaten und epidemiologischer Daten.
An Arbitrary High Order and Positivity Preserving Method for the Shallow Water Equations
Creators: name: Ciallella, Mirco
name: Micalizzi, Lorenzo
name: Öffner, Philipp
name: Torlo, Davide
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper, we develop and present an arbitrary high order well-balanced finite volume WENO method combined with the modified Patankar Deferred Correction (mPDeC) time integration method for the shallow water equations. Due to the positivity-preserving property of mPDeC, the resulting scheme is unconditionally positivity preserving for the water height. To apply the mPDeC approach, we have to interpret the spatial semi-discretization in terms of production-destruction systems. Only small modifications inside the classical WENO implementation are necessary and we explain how it can be done. In numerical simulations, focusing on a fifth order method, we demonstrate the good performance of the new method and verify the theoretical properties.
SUPPLEMENTARY MATERIAL FOR THE ICIP PAPER: OBJECT-INFORMED STATE CLASSIFICATION
Publisher: name: IEEE Signal Processing Society
Year: 2025

description: Object State Classification (OSC) is a critical task in computer vision, enabling systems to understand the functional state of objects (e.g., ``open'', ``closed''). 
In this work, we propose a novel end-to-end architecture for OSC that leverages the inherent relationship between object classification and state recognition. Our approach first classifies the object and then uses object-specific attention mechanisms to focus on relevant features for state classification. This two-stage design allows the model to effectively capture object-state dependencies while maintaining modularity and flexibility. We conduct an extensive ablation study to analyze the impact of key parameters, such as attention mechanisms and loss weighting, and evaluate our method against five baselines across four benchmark datasets. Experimental results demonstrate that our approach outperforms competing methods by a significant margin, achieving state-of-the-art performance.
Asymptotic and finite sample properties of Hill-type estimators in the presence of errors in observations
Creators: name: Kim, Mihyun
name: Kokoszka, Piotr
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Medicine
subject: Mathematical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: We establish asymptotic and finite sample properties of the Hill and Harmonic Moment estimators applied to heavy-tailed data contaminated by errors. We formulate conditions on the errors and the number of upper order statistics under which these estimators continue to be asymptotically normal. We specify analogous conditions which must hold in finite samples for the confidence intervals derived from the asymptotic normal distribution to be reliable. In the large sample analysis, we specify conditions related to second-order regular variation and divergence rates for the number of upper order statistics, k, used to compute the estimators. In the finite sample analysis, we examine several data-driven methods of selecting k, and determine which of them are most suitable for confidence interval inference. The results of these investigations are applied to interarrival times of internet traffic anomalies, which are available only with a round-off error.