cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 1 of A comprehensive assessment for community-based, person-centered care for older adults
Creators: name: Eliah Aronoff-Spencer
name: Padideh Asgari
name: Finlayson, Tracy L.
name: Gavin, Joseph
name: Forstey, Melinda
name: Norman, Gregory J.
name: Pierce, Ian
name: Ochoa, Carlos
name: Downey, Paul
name: Becerra, Karen
name: Agha, Zia
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Supplemental Figure 1. Referral pathways and outcomes. For 1335 clients screened, 1012 completed a pre-CGA and 1000 completed a CGA. For these clients, 901 dental referrals were made for services including restorative, periodontics, dentures, oral surgery and endodontics. One hundred seventy-two referrals were made for medical care-coordination, 90 for case management/social work and 32 for mental health.
Will Roe Survive? The MIssissippi Challenge, 2021
Creators: name: Stockton, Ronald R.
Publisher: name: My University
Year: 2021
Subjects: subject: Trimester, Roe v Wade, Quickening, heartbeat, Casey, public opinion, settled law, Landmark case, precedent, abortion data, Barrett, Kavanagh, Kagan, Sotomayor, Roberts.
subject: Social Sciences
subject: Political Science
subject: FOS: Political science

description: This is a discussion of the Supreme Court session when the two sides presented arguments relevant to the Mississippi law that would severely restrict abortion rights.
Additional file 2 of Recommendations for fluid management of adults with sepsis in sub-Saharan Africa: a systematic review of guidelines
Creators: name: Silberberg, Benjamin
name: Aston, Stephen
name: Boztepe, Selda
name: Shevin Jacob
name: Rylance, Jamie
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 2. Details of consensus scoring in AGREE-II assessment, where divergence existed between initial scores assigned by individual reviewers.
The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland
Creators: name: Doherty, Edel
name: Campbell, Danny
name: Hynes, Stephen
name: Van Rensburg, Tom M.
name: Doherty, Edel
name: Campbell, Danny
name: Hynes, Stephen
name: Van Rensburg, Tom M.
Publisher: name: Unknown
Year: 2011
Subjects: subject: Land Economics/Use
subject: Discrete choice experiments
subject: processing strategies
subject: discrete mixtures
subject: rural and urban comparison
subject: outdoor recreation
subject: welfare estimates

description: Discrete choice experiment data aimed at eliciting the demand for recreational walking trails on farmland in Ireland is used to explore whether some respondents reach their choices solely on the basis of the alternative’s label. To investigate this type of processing strategy, the paper exploits a discrete mixtures approach which encompasses random parameters for the attributes. We find evidence that respondents employ different processing strategies for different alternatives and differences in processing emerge between rural and urban based respondents. Results highlight that model fit and policy conclusions are sensitive to assumptions related to processing strategies among respondents
Student teachers and epistemic beliefs and emotions
Creators: name: Peiser, Gillian
name: Putwain, David W.
name: Held, Tanja
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 390499
subject: Specialist studies in education not elsewhere classified

description: This data set contains:(1) PDF copy of online survey(2) an SPSS file with raw data from survey study(3) MS Word file with results of tests conducted using SPSS and further detail of latent profile analysis.(4) Mplus input files

The SPSS file contains the responses to a survey study (n=376), that gathered data from student teachers on different initial teacher education courses in England that addressed the following research question:
Are there differences in student teachers' epistemic beliefs and epistemic emotions relating to educational research between• females and males,• students following university-led and school-led ITE routes,• primary and secondary student teachers,• postgraduate and undergraduate student teachers• students with science and non-science backgrounds,• ‘mature’ and ‘typically aged’ students?The MS Word file provides the results of tests conducted to investigate statistically significant correlations between different demographics and epistemic beliefs and emotions.This MS Word file contains:(1) independent samples t-test outputs which investigated correlations and statistical significance between epistemic beliefs and emotions with student teachers' gender, initial teacher education pathway, subject specialism, age phase specialism and ages;(2) One-way between-subjects ANOVA results for primary undergraduate, primary postgraduate and secondary postgraduate students;(3) A summary table of statistically significant results from (2) with results of the post hoc tests using the Bonferroni correction(4) Bi-variate correlations between different epistemic beliefs and emotions;(5) Internal consistency estimates for the five domains of epistemic beliefs and emotions.
In addition, the study aimed to investigate whether distinct profiles of student teachers emerged based on different epistemic beliefs and emotions and whether profile indicators correlated with demographic differences.
The M Plus input files used for latent profile analysis are provided, in addition to the four profile outputs with co-variates. Further details about the MPlus data analysis are provided within the MS Word document to supplement those in the linked journal paper.
Boundary conditions for Einstein's field equations: Analytical and numerical analysis
Creators: name: Sarbach, Olivier
name: Tiglio, Manuel
Publisher: name: arXiv
Year: 2004
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Outer boundary conditions for strongly and symmetric hyperbolic formulations of 3D Einstein's field equations with a live gauge condition are discussed. The boundary conditions have the property that they ensure constraint propagation and control in a sense made precise in this article the physical degrees of freedom at the boundary. We use Fourier-Laplace transformation techniques to find necessary conditions for the well posedness of the resulting initial-boundary value problem and integrate the resulting three-dimensional nonlinear equations using a finite-differencing code. We obtain a set of constraint-preserving boundary conditions which pass a robust numerical stability test. We explicitly compare these new boundary conditions to standard, maximally dissipative ones through Brill wave evolutions. Our numerical results explicitly show that in the latter case the constraint variables, describing the violation of the constraints, do not converge to zero when resolution is increased while for the new boundary conditions, the constraint variables do decrease as resolution is increased. As an application, we inject pulses of ``gravitational radiation'' through the boundaries of an initially flat spacetime domain, with enough amplitude to generate strong fields and induce large curvature scalars, showing that our boundary conditions are robust enough to handle nonlinear dynamics. We expect our boundary conditions to be useful for improving the accuracy and stability of current binary black hole and binary neutron star simulations, for a successful implementation of characteristic or perturbative matching techniques, and other applications. We also discuss limitations of our approach and possible future directions.
description: 31 pages, updated version, to appear in Journal of Hyperbolic Differential Equations
The Welfare Effects of Greenhouse Gas Emissions in German Pork Production
Creators: name: Heinrich, Barbara
name: Von Cramon-Taubadel, Stephan
name: Heinrich, Barbara
name: Von Cramon-Taubadel, Stephan
Publisher: name: Unknown
Year: 2011
Subjects: subject: Environmental Economics and Policy
subject: Food Consumption/Nutrition/Food Safety
subject: Welfare effects
subject: greenhouse gas emissions
subject: pork production
subject: partial equilibrium model

description: Greenhouse gas (GHG) emissions are an externality of the pork production process. To respond to climate change concerns and reduce GHG emissions, internalizing this external effect using a market-based economic instrument would be economically efficient. We calculate the welfare effects of GHG emissions using a partial equilibrium model of the German pork market. Sensitivity analysis is used to investigate the impacts of emission prices and emission rates on the welfare effects of reducing GHG emissions. Potential overall welfare gains amount to roughly € 360,000 in the base setting and increase to roughly € 3 million when emission prices are tripled. This sensitivity highlights the need for more dependable estimates of key parameters such as emission prices and emission rates. However, even the largest estimates of these welfare gains are relatively small. By contrast, the distributional effects of internalizing GHG externalities in pork production for producers, consumers and the state are large in all scenarios. The large redistribution effects that follow from even a small pork price increase as a result of internalizing GHG emissions indicate that attempts to tie German pork production into such policies would be highly controversial but may create incentives to invest in technologies which mitigate GHG emissions.
Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition
Creators: name: Tur, Anil Osman
name: Keles, Hacer Yalim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Isolated sign recognition from video streams is a challenging problem due to the multi-modal nature of the signs, where both local and global hand features and face gestures needs to be attended simultaneously. This problem has recently been studied widely using deep Convolutional Neural Network (CNN) based features and Long Short-Term Memory (LSTM) based deep sequence models. However, the current literature is lack of providing empirical analysis using Hidden Markov Models (HMMs) with deep features. In this study, we provide a framework that is composed of three modules to solve isolated sign recognition problem using different sequence models. The dimensions of deep features are usually too large to work with HMM models. To solve this problem, we propose two alternative CNN based architectures as the second module in our framework, to reduce deep feature dimensions effectively. After extensive experiments, we show that using pretrained Resnet50 features and one of our CNN based dimension reduction models, HMMs can classify isolated signs with 90.15% accuracy in Montalbano dataset using RGB and Skeletal data. This performance is comparable with the current LSTM based models. HMMs have fewer parameters and can be trained and run on commodity computers fast, without requiring GPUs. Therefore, our analysis with deep features show that HMMs could also be utilized as well as deep sequence models in challenging isolated sign recognition problem.
description: This paper is the preprint of the accepted manuscript at Multimedia Tools and Applications Journal. It contains 16 pages, 5 figure, 8 tables
Student teachers and epistemic beliefs and emotions
Creators: name: Peiser, Gillian
name: Putwain, David W.
name: Held, Tanja
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 390499
subject: Specialist studies in education not elsewhere classified

description: This data set contains:(1) PDF copy of online survey(2) an SPSS file with raw data from survey study(3) MS Word file with results of tests conducted using SPSS and further detail of latent profile analysis.(4) Mplus input files

The SPSS file contains the responses to a survey study (n=376), that gathered data from student teachers on different initial teacher education courses in England that addressed the following research question:
Are there differences in student teachers' epistemic beliefs and epistemic emotions relating to educational research between• females and males,• students following university-led and school-led ITE routes,• primary and secondary student teachers,• postgraduate and undergraduate student teachers?
The MS Word file provides the results of tests conducted to investigate statistically significant correlations between different demographics and epistemic beliefs and emotions.
This MS Word file contains:(1) independent samples t-test outputs which investigated correlations and statistical significance between epistemic beliefs and emotions with student teachers' gender, initial teacher education pathway, subject specialism and ages;(2) A summary table of statistically significant results from (1)(3) One-way between-subjects ANOVA results for primary undergraduate, primary postgraduate and secondary postgraduate students;(4) A summary table of statistically significant results from (3) with results of the post hoc tests using the Bonferroni correction(5) Bi-variate correlations between different epistemic beliefs and emotions;(6) Internal consistency estimates for the five domains of epistemic beliefs and emotions.
In addition, the study aimed to investigate whether distinct profiles of student teachers emerged based on different epistemic beliefs and emotions and whether profile indicators correlated with demographic differences.
The M Plus input files used for latent profile analysis are provided, in addition to the four profile outputs with co-variates. Further details about the MPlus data analysis are provided within the MS Word document to supplement those in the linked journal paper.
Structural Attacks on Local Routing in Payment Channel Networks
Creators: name: Weintraub, Ben
name: Nita-Rotaru, Cristina
name: Roos, Stefanie
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Payment channel networks (PCN) enable scalable blockchain transactions without fundamentally changing the underlying distributed ledger algorithm. However, routing a payment via multiple channels in a PCN requires locking collateral for potentially long periods of time. Adversaries can abuse this mechanism to conduct denial-of-service attacks. Previous work focused on source routing, which is unlikely to remain a viable routing approach as these networks grow. In this work, we examine the effectiveness of attacks in PCNs that use routing algorithms based on local knowledge, where compromised intermediate nodes can delay or drop transactions to create denial-of-service. We focus on SpeedyMurmurs as a representative of such protocols. We identify two attacker node selection strategies; one based on the position in the routing tree, and the other on betweenness centrality. Our simulation-driven study shows that while they are both effective, the centrality-based attack approaches near-optimal effectiveness. We also show that the attacks are ineffective in less centralized networks and discuss incentives for the participants in PCNs to create less centralized topologies through the payment channels they establish among themselves.
description: IEEE Workshop on Security and Privacy on the Blockchain (S&B)
CLIMATE CHANGE AWARENESS AND DECISION ON ADAPTATION MEASURES BY LIVESTOCK FARMERS
Creators: name: Mandleni, B.
name: Anim, F.D.K.
name: Mandleni, B.
name: Anim, F.D.K.
Publisher: name: Unknown
Year: 2011
Subjects: subject: Farm Management
subject: Climate change awareness
subject: Heckman’s two step probit model
subject: decisions to adapt

description: This paper investigated the extent of awareness of climate change by livestock farmers in the Eastern Cape Province of South Africa. It further explored the choice of adaptation measures that were followed and factors that affected adaption measures. The results indicated that marital status, level of education, formal extension, temperatures and the way in which land was acquired, significantly affected awareness of climate change. Variables that significantly affected adaptation selections were gender, formal extension, information received about climate change, temperatures and 2 the way in which land was acquired. The study suggested that the positive and significant variables that affected awareness and adaptation measures by livestock farmers be considered when awareness and adaptation strategies are implemented.
Additional file 1 of Ob/Gyn resident self-perceived preparedness for minimally invasive surgery
Creators: name: Klebanoff, Jordan S.
name: Marfori, Cherie Q.
name: Vargas, Maria V.
name: Amdur, Richard L.
name: Wu, Catherine Z.
name: Moawad, Gaby N.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Marine Biology
subject: Cancer
subject: Cardiology

description: Additional file 1: Supplemental Figure S2. Resident survey.
Numerical Evaluation of One-Loop Diagrams Near Exceptional Momentum Configurations
Creators: name: Giele, W.
name: Glover, E. W. N.
name: Zanderighi, G.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: One problem which plagues the numerical evaluation of one-loop Feynman diagrams using recursive integration by part relations is a numerical instability near exceptional momentum configurations. In this contribution we will discuss a generic solution to this problem. As an example we consider the case of forward light-by-light scattering.
description: 5 pages, 5 figures, Talk given at the 7th DESY Workshop on Elementary Particle Theory, Loops and Legs in Quantum Field Theory, Zinnowitz 2004
A risk communication experiment regarding consumer decisions about genetically-engineered inputs for salmon aquaculture
Creators: name: Longstaff, Holly Ann
Publisher: name: University of British Columbia
Year: 2009

description: In the future, it may be possible to feed farmed carnivorous salmon on an essentially vegetarian diet by substituting genetically engineered canola for wild pelagic fish meal from South America as the main protein component in fish feed. By reducing the need for imported, high demand and sometimes unreliable wild fish, Canadian salmon farming productions may be able to lower their production costs and eventually be more competitive on the world market. However, in order for these technologies to be utilized by the aquaculture industry, the various risks and benefits associated with them must be acceptable to the citizens of Canada. This research project analyzes and compares different methods of disseminating complex scientific information to Canadian consumers. The topic chosen is genetically engineered feeds that may be utilized by the Canadian salmon aquaculture industry in the future. To make more informed choices, the public needs access to trustworthy information that relates the known economic, social and environmental risks and benefits of using these new feeds. The motivation is to examine how different communication methods affect an individual's understanding of factual information, their confidence as a consumer, their acceptance of an issue, and their purchasing decisions. The conceptual framework for this project involved four tasks. First, an extensive literature review was conducted in order to complete three flow charts that categorized the known economic, social, and environmental risks and benefits of using GE salmon feed. These charts were then distributed to a diverse set of experts who were asked to determine the validity of their content. Once these two stages were finalized, sixteen mental model interviews were conducted with volunteer members of the general public. During these interviews, I discovered that many people held common misconceptions regarding salmon aquaculture and genetic engineering technologies. These misconceptions would hinder the comprehension of new information and were addressed in the risk communication experiment. The experiment itself was an in person survey in three sections. In the first section, the respondent was asked a series of multiple choice questions concerning genetic engineering technologies and salmon aquaculture. In part two, the respondent was given three different methods of communicating the risks and benefits of using genetically engineered salmon feeds; a flowchart, a case study and frequently asked questions. Each format was based on the expert model flow charts. In the final section, the respondent was re-tested on the questions from section one and asked to rate the methods of communication in section two on several criteria.
Nonparametric Estimation and Conformal Inference of the Sufficient Forecasting With a Diverging Number of Factors
Creators: name: Yu, Xiufan
name: Yao, Jiawei
name: Xue, Lingzhou
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: The sufficient forecasting (SF) provides a nonparametric procedure to estimate forecasting indices from high-dimensional predictors to forecast a single time series, allowing for the possibly nonlinear forecasting function. This article studies the asymptotic theory of the SF with a diverging number of factors and develops its predictive inference. First, we revisit the SF and explore its connections to Fama–MacBeth regression and partial least squares. Second, with a diverging number of factors, we derive the rate of convergence of the estimated factors and loadings and characterize the asymptotic behavior of the estimated SF directions. Third, we use the local linear regression to estimate the possibly nonlinear forecasting function and obtain the rate of convergence. Fourth, we construct the distribution-free conformal prediction set for the SF that accounts for the serial dependence. Moreover, we demonstrate the finite-sample performance of the proposed nonparametric estimation and conformal inference in simulation studies and a real application to forecast financial time series.
Moral Hazard, Targeting and Contract Duration in Agri-Environmental Policy
Creators: name: Fraser, Rob W.
name: Fraser, Rob W.
Publisher: name: Unknown
Year: 2011
Subjects: subject: Agribusiness
subject: Environmental Economics and Policy
subject: Moral Hazard
subject: Contract Duration
subject: Agri-Environmental Policy
subject: Targeting

description: This paper extends the multi-period agri-environmental contract model of Fraser (2004) so that it contains a more realistic specification of the inter-temporal penalties for non-compliance, and therefore of the inter-temporal moral hazard problem in agri-environmental policy design. On this basis it is shown that a farmer will have an unambiguous preference for cheating early over cheating late in the contract period based on differences in the expected cost of compliance. It is then shown how the principal can make use of this unambiguous preference to target monitoring resources intertemporally, and in so doing, to encourage full contract duration compliance.
How Gamification Affects Software Developers: Cautionary Evidence from a Natural Experiment on GitHub
Creators: name: Moldon, Lukas
name: Strohmaier, Markus
name: Wachs, Johannes
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: Computers and Society (cs.CY)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: We examine how the behavior of software developers changes in response to removing gamification elements from GitHub, an online platform for collaborative programming and software development. We find that the unannounced removal of daily activity streak counters from the user interface (from user profile pages) was followed by significant changes in behavior. Long-running streaks of activity were abandoned and became less common. Weekend activity decreased and days in which developers made a single contribution became less common. Synchronization of streaking behavior in the platform's social network also decreased, suggesting that gamification is a powerful channel for social influence. Focusing on a set of software developers that were publicly pursuing a goal to make contributions for 100 days in a row, we find that some of these developers abandon this quest following the removal of the public streak counter. Our findings provide evidence for the significant impact of gamification on the behavior of developers on large collaborative programming and software development platforms. They urge caution: gamification can steer the behavior of software developers in unexpected and unwanted directions.
description: To appear in the proceedings of the 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
Max-plus (A,B)-invariant spaces and control of timed discrete event systems
Creators: name: Katz, Ricardo David
Publisher: name: arXiv
Year: 2005
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 93B27 (Primary) 06F05 (Secondary)

description: The concept of (A,B)-invariant subspace (or controlled invariant) of a linear dynamical system is extended to linear systems over the max-plus semiring. Although this extension presents several difficulties, which are similar to those encountered in the same kind of extension to linear dynamical systems over rings, it appears capable of providing solutions to many control problems like in the cases of linear systems over fields or rings. Sufficient conditions are given for computing the maximal (A,B)-invariant subspace contained in a given space and the existence of linear state feedbacks is discussed. An application to the study of transportation networks which evolve according to a timetable is considered.
description: 24 pages, 1 Postscript figure, proof of Lemma 1 and some references added
Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model
Creators: name: Li, Mengheng
name: Scharth, Marcel
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: We develop a factor stochastic volatility model that incorporates leverage effects, return asymmetry, and heavy tails across all systematic and idiosyncratic model components. Our model leads to a flexible high-dimensional dependence structure that allows for time-varying correlations, tail dependence, and volatility response to both systematic and idiosyncratic return shocks. We develop an efficient Markov chain Monte Carlo algorithm for posterior estimation based on the particle Gibbs, ancestor sampling, particle efficient importance sampling methods, and interweaving strategy. To obtain parsimonious specifications in practice, we build computationally efficient model selection directly into our estimation algorithm. We validate the performance of our proposed estimation method via simulation studies with different model specifications. An empirical study for a sample of U.S. stocks shows that return asymmetry is a systematic phenomenon and our model outperforms other factor models for value-at-risk evaluation.
The impact of nature conservation on agricultural greenhouse-gas (GHG) emissions – an economic assessment of selected German study regions
Creators: name: Schaller, Lena
name: Droesler, Matthias
name: Kantelhardt, Jochen
name: Schaller, Lena
name: Droesler, Matthias
name: Kantelhardt, Jochen
Publisher: name: Unknown
Year: 2011
Subjects: Environmental Economics and Policy

description: Using a significant amount of public funding, large-scale nature-conservation projects in Germany aim to secure and develop ecologically valuable areas and endangered habitats and species. Due to the substantial land-use changes accompanying these projects, their implementation can also have relevant climate effects – one result which has not been explicitly focused upon previously. Our study analyses major cost positions in implementing such projects, particularly the expense of changing or abandoning agricultural land-use for conservation purposes. We link public funding to relevant climate effects and derive CO2 abatement costs. Therefore we conduct plot-specific ex-post analyses of agricultural land-use and greenhouse-gas (GHG) emissions. Our study takes place in regions where changes in agricultural land-use for conservation purposes have been fully implemented in the past and where climate effects are expected to be high. Our analysis is based on data provided by regional stakeholders and our project partners. First results show that land-use changes for conservation purposes can lead to positive climate effects. The efficiency as regards “abatement costs” we derive on basis of the data set available lies within the range of costs for alternative measures of climate change mitigation. However it becomes clear that CO2 abatement cannot be seen as the only benefit of such measures; the high cost of agricultural compensation has to be contrasted with further effects such as biodiversity and water conservation
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
Creators: name: Al, Mert
name: Yagli, Semih
name: Kung, Sun-Yuan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The rapid rise of IoT and Big Data has facilitated copious data driven applications to enhance our quality of life. However, the omnipresent and all-encompassing nature of the data collection can generate privacy concerns. Hence, there is a strong need to develop techniques that ensure the data serve only the intended purposes, giving users control over the information they share. To this end, this paper studies new variants of supervised and adversarial learning methods, which remove the sensitive information in the data before they are sent out for a particular application. The explored methods optimize privacy preserving feature mappings and predictive models simultaneously in an end-to-end fashion. Additionally, the models are built with an emphasis on placing little computational burden on the user side so that the data can be desensitized on device in a cheap manner. Experimental results on mobile sensing and face datasets demonstrate that our models can successfully maintain the utility performances of predictive models while causing sensitive predictions to perform poorly.
description: 15 pages, 5 figures, published on IEEE Transactions on Neural Networks and Learning Systems
New light on Dark Cosmos
Creators: name: Gaztanaga, E.
name: Manera, M.
name: Multamaki, T.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Astrophysics (astro-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recent studies by a number of independent collaborations, have correlated the CMB temperatures measured by the WMAP satellite with different galaxy surveys that trace the matter distribution with light from the whole range of the electromagnetic spectrum: radio, far-infrared, optical and X-ray surveys. The new data systematically finds positive correlations, indicating a rapid slow down in the growth of structure in the universe. Individual cross-correlation measurements are of low significance, but we show that combining data at different redshifts introduces important new constraints. Contrary to what happens at low redshifts, for a fixed $\Omm$, the higher the dark energy contend, $\Ol$, the lower the ISW cross-correlation amplitude. At 68% confidence level, the data finds new independent evidence of dark energy: $\Ol =0.42-1.22$ . It also confirms, to higher significance, the presence of a large dark matter component: $\Omm =0.18-0.34$, exceeding the density of baryonic matter, but far from the critical value. Combining these new constraints with the prior of a flat universe, or the prior of an accelerating universe provides strong new evidence for a dark cosmos. Combination with supernova data yields $\Ol = 0.71 \pm 0.13$, $\Omm = 0.29 \pm 0.04$. If we also assume a flat universe, we find $\Ol = 0.70 \pm 0.05$ and $w = -1.02 \pm 0.17$ for a constant dark energy equation of state.
description: 8 pages, 8 figures, submited to MNRAS. Extended analysis with new figures and results on equation of state for dark energy. No change in main conclusions
A Bayesian Quantile Time Series Model for Asset Returns
Creators: name: Griffin, Jim E.
name: Mitrodima, Gelly
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: We consider jointly modeling a finite collection of quantiles over time. Formal Bayesian inference on quantiles is challenging since we need access to both the quantile function and the likelihood. We propose a flexible Bayesian time-varying transformation model, which allows the likelihood and the quantile function to be directly calculated. We derive conditions for stationarity, discuss suitable priors, and describe a Markov chain Monte Carlo algorithm for inference. We illustrate the usefulness of the model for estimation and forecasting on stock, index, and commodity returns.
Osmotion : balancing gradients in the schoolyard
Creators: name: Maddaugh, Alison
Publisher: name: University of British Columbia
Year: 2009

description: Recent theory on child development suggests that environments designed for children need to provide for their physical, emotional, social and cognitive development. Elementary schoolyards are typically used by children between the ages of five and thirteen, but the spatial allocation of play opportunities provided for older versus younger children is often inequitable. The age range of elementary school children reflects a diverse level of interests and abilities. Such diversity may be accommodated in the schoolyard by providing a range of play opportunities that are appropriate for younger and older children alike, and respond to the child's need for physical, sensorial, intellectual and social engagement. The variety of play opportunities provided, the spatial requirements of each, and the flow of movement between them are all essential components of playground design. This paper reviews contemporary theory regarding child development as well as principals that guide the design of children's learning and play environments, and describes a design proposal that incorporates them.
THE DETERMINANTS OF TIME SPENT ON SOCIAL, COMMUNITY AND LEISURE ACTIVITIES BY FARM HOUSEHOLDS IN THE WEST OF IRELAND
Creators: name: Keogh, Sinead
name: Cullinan, John
name: Keogh, Sinead
name: Cullinan, John
Publisher: name: Unknown
Year: 2011
Subjects: subject: Community/Rural/Urban Development
subject: Rural sustainability
subject: Agricultural household model
subject: Time use survey
subject: Craggs two-step model.

description: Understanding the determinants of farm households’ social engagement patterns in rural communities is important for public policy programs that seek to improve the well-being of the rural population and promote rural sustainability. Within this context, this paper examines the factors that influence both the participation in, and the number of hours dedicated to, social, community and leisure activities among farm operators and their spouse/partner in a region in the West of Ireland. The theoretical underpinnings of this research are an extension of Becker’s (1965, 1974) and Gronau’s (1977) agricultural household models, whereby households maximise utility subject to a set of constraints, household income and time endowment. The study employs a time-use diary survey, combined with an individual and household survey, to collect data from farm households in counties Galway, Mayo and Roscommon. A Craggs double hurdle model is used to estimate the predictors of time-use and the number of hours spent participating in a range of off-farm activities.
Resource estimate for quantum many-body ground-state preparation on a quantum computer
Creators: name: Lemieux, Jessica
name: Duclos-Cianci, Guillaume
name: Sénéchal, David
name: Poulin, David
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We estimate the resources required to prepare the ground state of a quantum many-body system on a quantum computer of intermediate size. This estimate is made possible using a combination of quantum many-body methods and analytic upper bounds. Our routine can also be used to optimize certain design parameters for specific problem instances. Lastly, we propose and benchmark an improved quantum state preparation procedure. We find that it reduces the circuit T-depth by a factor as large as $10^6$ for intermediate-size lattices.
description: 9 pages, 7 figures
Bioenergy production in Finland and its effects on regional growth and employment
Creators: name: Simola, Antti
name: Kinnunen, Jouko
name: Torma, Hannu
name: Kola, Jukka
name: Simola, Antti
name: Kinnunen, Jouko
name: Torma, Hannu
name: Kola, Jukka
Publisher: name: Unknown
Year: 2010
Subjects: subject: Agricultural and Food Policy
subject: Institutional and Behavioral Economics
subject: Political Economy
subject: bioenergy
subject: agriculture and forestry
subject: regional economy
subject: growth
subject: employment
subject: CGE-modelling

description: Finnish national climate and energy strategy sets the share of renewables in energy use to 38%, and a significant amount of this should be covered by biomass based energy. In 2020 forestry is set to contribute 24 TWh and agriculture 4-5 TWh to energy production. In particular, bioenergy resources are considerable in the rural areas. However, the regional aspects have gone without investigation before this study. This study is a general equilibrium analysis. We considered only the by-products and waste material from agriculture and forestry as the resources for bioenergy, and only heat and power production were considered as the potential end uses. A regional CGE-model (RegFinDynBio) was used to analyse the impact of increased use of bioenergy potential. Increase in bioenergy use will lower the levels of GDP and employment marginally but will, nevertheless, help to achieve the emission reduction goals. However, the regional results showed the uneven distribution of the costs. The regions that beforehand seemed to be the most promising ones fared the worst. Southern Ostrobothnia was the sole exception, because of its bioenergy export income. The greatest difficulties are seen in Kainuu. Eastern Uusimaa shows significant losses as well, but they can be traced back to the region’s economic structure, which is heavily dependent on fossil fuel refining industries. Some regions that use gas as energy source are seen to gain marginally because of their more diverse energy production system.
From BRITE to PLATO: the increasing need for ground-based support
Creators: name: Strassmeier, Klaus G.
Publisher: name: Zenodo
Year: 2024

description: BRITE monitoring of bright (magnetically) active stars on very short as well as long time scales had shown us the potential of time-domain astrophysics. However, for astrophysics it’s a simple equation: light curves are light curves and spectra are spectra. Interpretation and proper parameter extraction are usually only possible if there are also spectra accompanying the light variability, preferably at high spectral resolution. I will show some examples. BRITE was probably underbudgeted for such continuous concerted ground-based spectroscopic (and other) support. Can we do better for ESA’s upcoming M-class mission PLATO? We will provide two robotic facilities dedicated to PLATO science. The southern-hemisphere facility is a 30cm wide-field CCD imaging photometer at Cerro Armazones in Chile sampling a FOV of 52 square degrees with 2.5 arc second pixels. The northern-hemisphere facility is the 2x1.2m STELLA robotic telescope observatory in Tenerife. STELLA-II will feed three R=50,000 echelle spectrographs for the wavelength range 380—980nm simultaneously. Its visual spectrograph is stabilized and suited for RV precision of 1-2 m/s, the blue spectrograph will monitor Ca II H&K, and the red-optimized spectrograph the near infrared spectrum with Ca II IRT.
Right-to-Choose Auctions: A Field Study of Water Markets in the Limari Valley of Chile
Creators: name: Alevy, Jonathan E.
name: Cristi, Oscar
name: Melo, Oscar
name: Alevy, Jonathan E.
name: Cristi, Oscar
name: Melo, Oscar
Publisher: name: Unknown
Year: 2010
Subjects: subject: Farm Management
subject: Research Methods/ Statistical Methods
subject: Resource /Energy Economics and Policy
subject: Risk and Uncertainty
subject: water market
subject: field experiment
subject: auction design

description: Field experiments were conducted with farmers in the Limarí Valley of Chile to test extant theory on right-to-choose auctions. Water volumes that differed by reservoir source and time of availability were offered for sale by the research team. The auctions were supplemented by protocols to elicit risk and time preferences of bidders. We find that the right-to-choose auctions raise significantly more revenue than the benchmark sequential auction. Risk attitudes explain a substantial amount of the difference in bidding between auction institutions, consonant with received theory. The auction bidding revealed distinct preferences for water types, which has implications for market re-design.
OpenCCM : une infrastructure a composants pour le deploiement d'applications a base de composants CORBA
Creators: name: Briclet, Frederic
name: Contreras, Christophe
name: Merle, Philippe
Publisher: name: arXiv
Year: 2004
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Deployment of software components for building distributed applications consists of the coordination of a set of basic tasks like uploading component binaries to the execution sites, loading them in memory, instantiating components, interconnecting their ports, setting their business and technical attributes. The automation of the deployment process then requires the presence of a software infrastructure distributed itself on the different execution sites. This paper presents the characteristics of such an infrastructure for the deployment of CORBA component-based applications. This latter is designed and implemented in the context of our OpenCCM platform, an open source implementation of the CORBA Component Model. The main characteristic lays on the fact that this infrastructure is itself designed as a set of CORBA component assemblies. This allows its dynamic assembly during its deployment over the execution sites
Confounded by the Field: Bidding in Food Auctions When Field Prices Are Increasing
Creators: name: Bernard, John C.
name: He, Na
name: Bernard, John C.
name: He, Na
Publisher: name: Unknown
Year: 2010
Subjects: subject: Consumer/Household Economics
subject: Institutional and Behavioral Economics
subject: Marketing
subject: FOS: Economics and business
subject: auction experiments
subject: field prices
subject: organic
subject: bidding

description: Auction experiments are commonly used to determine consumers’ willingness to pay for various food items. While their non-hypothetical nature is a positive, market substitutes create a probable confounding of bids by field prices. This study examines the influence of field prices on bids for four foods in two versions by conducting auctions before and after large price increases in 2007. Results show that bids were capped at given field prices and were significantly higher in sessions conducted after store prices increased. Percentage premiums, however, were not significantly different across sessions, suggesting that effects of field prices could be reduced. Overall, researchers must be conscious of how field prices affect bids.
Symmetry resolved entanglement in integrable field theories via form factor bootstrap
Creators: name: Horváth, Dávid X.
name: Calabrese, Pasquale
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We consider the form factor bootstrap approach of integrable field theories to derive matrix elements of composite branch-point twist fields associated with symmetry resolved entanglement entropies. The bootstrap equations are determined in an intuitive way and their solution is presented for the massive Ising field theory and for the genuinely interacting sinh-Gordon model, both possessing a $\mathbb{Z}_{2}$ symmetry. The solutions are carefully cross-checked by performing various limits and by the application of the $Δ$-theorem. The issue of symmetry resolution for discrete symmetries is also discussed. We show that entanglement equipartition is generically expected and we identify the first subleading term (in the UV cutoff) breaking it. We also present the complete computation of the symmetry resolved von Neumann entropy for an interval in the ground state of the paramagnetic phase of the Ising model. In particular, we compute the universal functions entering in the charged and symmetry resolved entanglement.
description: 46 pages, no figure
Additional file 1 of Overexpression of bHLH domain of HIF-1 failed to inhibit the HIF-1 transcriptional activity in hypoxia
Creators: name: Sadeghi, Fatemeh
name: Kardar, Gholam Ali
name: Bolouri, Mohammad Reza
name: Nasri, Farzad
name: Sadri, Maryam
name: Falak, Reza
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1. The sequencing result of the pIRES2-EGFP vector, containing the ibHLH DNA sequence.