cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Sacred Mountains of the Lizu b
Creators: name: Chirkova, Katia
Publisher: name: COCOON - https://cocoon.huma-num.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: Chinese, Mandarin
subject: cmn
subject: Lizu
subject: ers
subject: Rites et cérémonies
valueUri: ark:/12148/cb119404970
subject: sacred mountain names

description: Elan annotation file for the audio file with the same name. Transcribed and translated with Wang Dehe in November 2014
description: Conforms to: doi:10.34847/cocoon.49aefa90-8c1f-3ba8-a099-0ebefc6a2aa7
Ful-filling the Copula, Determining Nature: the Grammatical Ontology of Hegel's Metaphysics
Creators: name: Reid, Jeffrey
Publisher: name: My University
Year: 2017
Subjects: Hegel
Metaphysics
Logic
Ontology
Grammar

description: Both continental and analytic traditions have tended to associate Hegel’s idealism with metaphysics and therefore as divorced from and even pernicious to reality. Hence, contemporary Hegel studies have tended to concentrate on discrete elements of his philosophy while attempting to avoid its metaphysical dimensions and their systematic pretensions. I seek to show that rather than dwelling in abstraction, Hegel’s metaphysics, as presented in his Logics, recount the thought determinations through which being comes to be grounded and thus, scientifically knowable as nature. Such categorical determining is essentially linguistic, taking place through the grammatical forms of judgment (Urteil) and their outcome in the syllogism. The centrality of these grammatical forms reveals the anthropological goal of Hegel’s metaphysics, where the fully determined copula of judgment presents itself as the object of natural science, for us.
Lattice Calculation of Quarkonium Decay Matrix Elements
Creators: name: Bodwin, G. T.
name: Sinclair, D. K.
name: Kim, S.
Publisher: name: arXiv
Year: 1996
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We calculate the NRQCD matrix elements for the decays of the lowest-lying S- and P-wave states of charmonium and bottomonium in quenched lattice QCD. We also compute the one-loop relations between the lattice and continuum matrix elements.
description: 10 pages, LaTeX. Talk presented at the Quarkonium Physics Workshop, University of Illinois, Chicago, June 13-15, 1996
Joint-Conditional Entropy and Mutual Information Estimation Involving Three Random Variables and asymptotic Normality
Creators: name: Amadou Diadie Ba
name: Gane Samb Lo
Publisher: name: Zenodo
Year: 2021
Subjects: Joint entropy estimation
conditional entropy estimation
mutual information estimation

description: A method of estimating the joint probability mass function of a triplet of discrete random variables is described. This estimator is used to construct the joint‐conditional entropies and mutual information estimates involving three random variables. From there almost sure rates of convergence and asymptotic normality are established. The theorical results are validated by simulations.
Sensor Fusion of Range and Reflectance Data for Outdoor Scene Analysis
Creators: name: Kweon, In So
name: Hebert, Martial
name: Kanade, Takeo
Publisher: name: Carnegie Mellon University
Year: 1985
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: In recognizing objects in an outdoor scene, range and reflectance (or color) data provide complementary information. This paper presents the results of experiments in recognizing outdoor scenes containing roads. trees. and cars from the CMU Navlab (Navigation Laboratory) project. The recognition program uses range and reflectance data obtained by a scanning laser range finder, as well as color data from a color TV camera. After segmentation of each image into primitive regions, models of objects are matched using various properties.
$B$ Meson Anomalies in a Pati-Salam Model within the Randall-Sundrum Background
Creators: name: Blanke, Monika
name: Crivellin, Andreas
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Lepton number as a fourth color is the intriguing theoretical idea of the famous Pati-Salam (PS) model. While in conventional PS models, the symmetry breaking scale and the mass of the resulting vector leptoquark are stringently constrained by $K_L\toμe$ and $K\toπμe$, the scale can be lowered to a few TeV by adding vector-like fermions. Furthermore, in this case, the intriguing hints for lepton flavour universality violation in $b\to sμ^+μ^-$ and $b\to cτν$ processes can be addressed. Such a setup is naturally achieved by implementing the PS gauge group in the five-dimensional Randall-Sundrum background. The PS symmetry is broken by boundary conditions on the fifth dimension and the resulting massive vector leptoquark automatically has the same mass scale as the vector-like fermions and all other resonances. We consider the phenomenology of this model in the context of the hints for lepton flavour universality violation in semileptonic $B$ decays. Assuming flavour alignment in the down sector we find that in $b\to s\ell^+\ell^-$ transitions the observed deviations from the SM predictions (including $R(K)$ and $R(K^*)$) can be explained with natural values for the free parameters of the model. Even though we find sizable effects in $R(D)$, $R(D^*)$ and $R(J/Ψ)$ one cannot account for the current central values in the constrained setup of our minimal model due to the stringent constraints from $D-\bar D$ mixing and $τ\to 3μ$.
description: 6 pages, 1 figure. v2: clarifying comments and few references added, matches published version
Sensor Fusion for Human Safety in Industrial Workcells
Creators: name: Rybski, Paul E.
name: Anderson-Sprecher, Peter
name: Huber, Daniel F.
name: Niessl, Christopher
name: Simmons, Reid
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Current manufacturing practices require complete physical separation between people and active industrial robots. These precautions ensure safety, but are inefficient in terms of time and resources, and place limits on the types of tasks that can be performed. In this paper, we present a real-time, sensor-based approach for ensuring the safety of people in close proximity to robots in an industrial workcell. Our approach fuses data from multiple 3D imaging sensors of different modalities into a volumetric evidence grid and segments the volume into regions corresponding to background, robots, and people. Surrounding each robot is a danger zone that dynamically updates according to the robot's position and trajectory. Similarly, surrounding each person is a dynamically updated safety zone. A collision between danger and safety zones indicates an impending actual collision, and the affected robot is stopped until the problem is resolved. We demonstrate and experimentally evaluate the concept in a prototype industrial workcell augmented with stereo and range cameras.
Multipole Stability of Spinning M2-branes in the Classical Limit of the BMN Matrix Model
Creators: name: Axenides, Minos
name: Floratos, Emmanuel
name: Linardopoulos, Georgios
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences
subject: 81T30

description: We explore the stability of a recently found class of spinning dielectric M2-branes in the 11-dimensional maximally supersymmetric plane-wave background. We find two small windows of instabilities in the dipole (j=1) and quadrupole (j = 2) sector of linear multipole perturbations.
description: 7 pages, 2 figures. Matches published version
Addressing the disparities in health care and health outcomes between Indigenous and non-Indigenous peoples in Canada
Creators: name: Caron, Steven
Publisher: name: My University
Year: 2020

description: Evidence suggests that Indigenous peoples in Canada experience poorer health outcomes than non-Indigenous Canadians. These health burdens likely stem from a number of factors, including discrimination, limited access to health care services, and suboptimal social and economic conditions arising from colonization. This paper explores the nature of and potential factors that have influenced health disparities faced by Indigenous peoples in Canada. In particular, I discuss the evolution of Indigenous health care policy since the establishment of the Canadian constitution in 1867 as well as the current health care landscape. I further provide a number of recommendations for policymakers to consider in pursuit of parity and improvements in health care and health outcomes for Indigenous peoples.
Sensor Fusion for Context Understanding
Creators: name: Huadong  Wu
name: Siegel, Mel
name: Ablay, Sevim
Publisher: name: Carnegie Mellon University
Year: 2002
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a generalizable sensor fusion architecture to deal with highly distributed sensors in a dynamic configuration to collect, fuse and populate our context information model. This paper describes our information model, system architecture, and preliminary experimental results.
Analyse éthique de l'immigration économique canadienne : L'entrée express et le système de classement global (SCG). Quels sont les enjeux éthiques du SCG?
Creators: name: El Kamel, Yasmine
Publisher: name: My University
Year: 2021

description: Ce mémoire porte sur le système de classement global (SCG) mis en place en 1967 par le gouvernement fédéral du Canada et qui permet d’évaluer les candidats souhaitant immigrer à travers l’entrée express. Cette dernière est la politique fédérale qui regroupe tous les immigrants faisant partie de la catégorie de l’immigration économique. Le SCG classe les candidats de l’entrée express, et ceux ayant les meilleurs scores seront acceptés à venir, ou à rester, au Canada en tant que résident permanent. Le système fédéral du Canada s’est avéré être efficace et a permis au pays d’accroitre son nombre de migrants qualifiés, ce qui représente un atout considérable pour l’économie canadienne. Toutefois, ce mémoire a pour but de se détacher de la vision économique du système, et souhaite plutôt questionner son fondement éthique. Le SCG se vente d’être un système transparent, juste, et non discriminatoire. Dans le cadre de cette recherche, nous remettons en question ces valeurs, en poussant l’analyse de l’éthique d’un tel système, et en se questionnant sur les effets qu’il engendre. Le SCG discrimine-t-il ? Est-il véritablement transparent ? Peut-on affirmer qu’il est juste en termes d’équité ? En plus des données secondaires portant sur l’éthique de l’immigration, et sur l’histoire des politiques migratoires canadiennes, nous avons recueilli des données primaires en réalisant des entretiens avec des professionnels en immigration canadienne, et avec des immigrants ayant obtenu leur statut de résident permanent à travers l’entrée express. Ce sont ces données primaires et secondaires qui nous ont permis de faire une analyse critique des valeurs éthiques du SCG, en commençant par ses aspects positifs puis en terminant sur les aspects négatifs qu’il engendre.
Lizu traditional clothing b
Creators: name: Chirkova, Katia
Publisher: name: COCOON - https://cocoon.huma-num.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: Lizu
subject: ers
subject: traditional customs
subject: clothing

description: Elan annotation file for the audio file with the same name. Transcribed and translated with Wang Xuecai in October 2015
description: Conforms to: doi:10.34847/cocoon.49aefa90-8c1f-3ba8-a099-0ebefc6a2aa7
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
Creators: name: Dima, Cristian S.
name: Vandapel, Nicolas
name: Hebert, Martial
Publisher: name: Carnegie Mellon University
Year: 2003
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we present techniques that leverage on data fusion and machine learning for increasing the reliability of obstacle detection systems. We are combining color and IR imagery with range information from a laser range finder. We show that in addition to fusing data at the pixel level, performing high level classifier fusion is beneficial in our domain. Our general approach is to use machine learning techniques for automatically deriving effective models of the classes of interest (obstacle and non-obstacle for example). We train classifiers on different subsets of the features we extract from our sensor suite and show how different classifier fusion schemes can be applied for obtaining a multiple classifier system that is more robust than any of the classifiers presented as input. We present experimental results we obtained on data collected with both the Experimental Unmanned Vehicle (XUV) and a CMU developed robotic vehicle.
Second-order topological insulators and superconductors with an order-two crystalline symmetry
Creators: name: Geier, Max
name: Trifunovic, Luka
name: Hoskam, Max
name: Brouwer, Piet W.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Second-order topological insulators and superconductors have a gapped excitation spectrum in bulk and along boundaries, but protected zero modes at corners of a two-dimensional crystal or protected gapless modes at hinges of a three-dimensional crystal. A second-order topological phase can be induced by the presence of a bulk crystalline symmetry. Building on Shiozaki and Sato's complete classification of bulk crystalline phases with an order-two crystalline symmetry [Phys.\ Rev.\ B {\bf 90}, 165114 (2014)], such as mirror reflection, twofold rotation, or inversion symmetry, we classify all corresponding second-order topological insulators and superconductors. The classification also includes antiunitary symmetries and antisymmetries.
description: 36 pages, 18 figures
Experimental evidence for the relaxation coupling of all longitudinal 7Li magnetization orders in the superionic conductor Li10GeP2S12
Creators: name: Paulus, M. C.
name: Paulus, A.
name: Schleker, P. P. M.
name: Jakes, P.
name: Eichel, Rüdiger-A.
name: Heitjans, P.
name: Granwehr, J.
Publisher: name: RWTH Aachen University
Year: 2019
Subjects: subject: 530

description: doi:10.18154/RWTH-2020-00748
Le racisme et la discrimination raciale à l'école secondaire : Effet sur les parcours et le sentiment d'appartenance des élèves francophones, immigrés et racisés à Ottawa.
Creators: name: Toussaint, Jean Luc Kervens
Publisher: name: My University
Year: 2022

description: Ce mémoire s’intéresse à la manière dont la discrimination raciale vécue à l’école secondaire par les élèves francophones, racisés et nouvellement immigrés a affecté leur parcours scolaire et, plus largement, leur sentiment d’appartenance à la société d’accueil. À partir d’entretiens semi-dirigés effectués auprès d’anciens élèves des écoles secondaires francophones à Ottawa, âgés entre 18 et 24 ans, les résultats indiquent que la discrimination raciale vécue lorsqu’ils étaient au secondaire a un effet sur leur vie après le secondaire ainsi que sur leur sentiment d’appartenance à la société d’accueil. Ce mémoire discute également de certaines stratégies pouvant favoriser le respect et l'appréciation en milieu scolaire des élèves nouvellement immigrés et racisés, notamment des élèves Noirs, et qui pourront aider ces derniers à faire face aux traitements discriminatoires subis à l’école secondaire. Mots clés : racisme, discrimination raciale, parcours scolaire, sentiment d’appartenance, immigrés, racisés, Noir.
Sensing Polygon Poses by Inscription
Creators: name: Jia, Yan-Bin
name: Erdmann, Michael
Publisher: name: Carnegie Mellon University
Year: 1994
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Industrial assembly involves sensing the pose (orientation and position) of a part. Efficient and reliable sensing strategies can be developed for an assembly task if the shape of the part is known in advance. In this paper we investigate the problem of determining the pose of a convex n-gon from a set of m supporting cones, i.e., cones with both sides supporting the polygon. An algorithm with running time O(nm) which almost always reduces to O(n + m log n) is presented to solve for all possible poses of the polygon. As a consequence, the polygon inscription problem of finding all possible poses for a convex n-gon inscribed in another convex m-gon, can be solved within the same asymptotic time bound. We prove that the number of possible poses cannot exceed 6n, given m >= 2 supporting cones with distinct vertices. Experiments demonstrate that two supporting cones are sufficient to determine the real pose of the n-gon in most cases. Our results imply that sensing in practice can be carried out by obtaining viewing angles of a planar part at multiple exterior sites in the plane. As a conclusion, we generalize this and other sensing methods into a scheme named sensing by inscription.
On the Optimal Choice of Nucleosynthetic Yields, IMF and Number of SNe Ia for Chemical Evolution Modelling
Creators: name: Philcox, Oliver
name: Rybizki, Jan
name: Gutcke, Thales
Publisher: name: arXiv
Year: 2017
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: To fully harvest the rich library of stellar elemental abundance data available, we require reliable models that facilitate our interpretation of them. Galactic chemical evolution (GCE) models are one such set, and a key part of which are the selection of chemical yields from different nucleosynthetic enrichment channels, predominantly asymptotic giant branch (AGB) stars, Type Ia supernovae (SNe Ia), and core-collapse supernovae (CC-SNe). Here, we present a scoring system for yield tables based on their ability to reproduce proto-solar abundances within a simple parametrisation of the GCE modelling software Chempy, which marginalises over galactic parameters describing simple stellar populations (SSPs) and interstellar medium physics. Two statistical scoring methods are presented, based on Bayesian evidence and leave-one-out cross-validation and are applied to five CC-SN tables, (a) for all mutually available elements and (b) for a subset of the 9 most abundant elements. We find that the yields of Prantzos et al. (P18, including stellar rotation) and Chieffi & Limongi (C04) best reproduce proto-solar abundances for the two cases, respectively. The inferred best-fit SSP parameters for (b) are $α_\mathrm{IMF}=-2.45^{+0.15}_{-0.11}$ for the initial mass function high-mass slope and $\mathrm{N}_\mathrm{Ia}=1.29^{+0.45}_{-0.31}\times10^{-3}$ M$_\odot^{-1}$ for the SN Ia normalisation, which are broadly consistent across tested yield tables. Additionally, we demonstrate how Chempy can be used to dramatically improve elemental abundance predictions of hydrodynamical simulations by plugging tailored best-fit SSP parameters into a Milky Way analogue from Gutcke & Springel. Our code, including a comprehensive tutorial, is freely available and can additionally provide SSP enrichment tables for any combination of parameters and yield tables.
description: 19 pages, 8 figures, accepted by ApJ
title: Article_Revue des bibliophiles et des amateurs de manuscrits, d'estampes et d'autographes
Creators: name: AmateurS
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: ID_ARTI_00006
Survival of Pediatric Leukemia: The Role of Social Determinants
Creators: name: Palvasha, Qureshi
name: Muna, Abdalla
name: Tasnim, Abdalla
name: Sahar, Amedi
Publisher: name: My University
Year: 2017

description: In most high-income countries, leukemia is the most common cancer in children. Currently, overall survival (OS) of children with acute leukemia is 90% in gratitude to advances in research and therapy. The goal of this structured review is to identify the association between ethnicity, social environment and survival-related outcomes of cancer treatments among children with leukemia. A search strategy was developed and applied in PubMed, EMBASE, ProQuest and Ovid (Medline) using relevant key terms related to survival related and socioeconomic factors. Electronic searches from inception to November 15th, 2017 were performed. Of the 175 publications screened for eligibility, 30 studies met the criteria for full review, and 9 studies met final inclusion criteria. The overall 5-year survival rates being reported in the studies ranged from 69.5% to 92%, with lower survival percentages coming from studies that indicate involvement of socio-demographic factors such as race and poverty. Other studies suggested no association between the survival rates as well as mortality rates and socio-demographic factors. Various studies have provided evidence and indicated that children with leukemia belonging to specific ethnic groups, and economic minority groups experience inferior survival outcomes as compared to their advantaged majority counterparts.
Divergences of the irreducible vertex functions in correlated metallic systems: Insights from the Anderson Impurity Model
Creators: name: Chalupa, P.
name: Gunacker, P.
name: Schäfer, T.
name: Held, K.
name: Toschi, A.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In this work, we analyze in detail the occurrence of divergences in the irreducible vertex functions for one of the fundamental models of many-body physics: the Anderson impurity model (AIM). These divergences -- a surprising hallmark of the breakdown of many-electron perturbation theory -- have been recently observed in several contexts, including the dynamical mean-field solution of the Hubbard model. The numerical calculations for the AIM presented in this work, as well as their comparison with the corresponding results for the Hubbard model, allow us to clarify several open questions about the origin and the properties of vertex divergences in a particularly interesting context, the correlated metallic regime at low-temperatures. Specifically, our analysis (i) rules out explicitly the transition to a Mott insulating phase, but not the more general suppression of charge fluctuations (proposed in [Phys.\,Rev.\,B {\bf 93},\,245102\,(2016)]), as a necessary condition for the occurrence of vertex divergences, (ii) clarifies their relation with the underlying Kondo physics, and, eventually, (iii) individuates which divergences might also appear on the real frequency axis in the limit of zero temperature, through the discovered scaling properties of the singular eigenvectors.
description: 16 pages, 13 figures, published version
title: The Bitcoin transaction networks
Creators: name: Vallarano, Nicolò
Publisher: name: IMT Alti Studi Lucca
Year: 2021

description: The topic of the thesis is the analysis of the most popular cryptocurrency from a network perspective. Specifically, it focuses on a bunch of network representations of the Bitcoin digital transactions that are studied at different scales (micro, meso and macro) by employing tools from physics, statistics and economics. The thesis is divided into five chapters. Chapter 1 introduces the broad field of cryptocurrencies. Chapters 2 and 3 are dedicated to the understanding of the network properties of the Bitcoin cryptocurrency from both a static and a dynamical perspective and to the investigation of the relationships between the latter ones and purely financial quantities like the BTC price. Chapter 4 is dedicated to the study of the Bitcoin Lightning Network, a recently-developed protocol to speed up the blockhain-based payment system Bitcoin rests upon. Chapter 5 illustrates the substantial modifications that have been required by state-of-the-art algorithms to solve null models for networks on very large networks - as the ones characterizing Bitcoin throughout its entire history.
Semi-Supervised Self-Training of Object Detection Models
Creators: name: Rosenberg, Chuck
name: Hebert, Martial
name: Schneiderman, Henry
Publisher: name: Carnegie Mellon University
Year: 2005
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled in order to capture variations in object appearance. Semi-supervised training is a means for reducing the effort needed to prepare the training set by training the model with a small number of fully labeled examples and an additional set of unlabeled or weakly labeled examples. In this work we present a semi-supervised approach to training object detection systems based on self-training. We implement our approach as a wrapper around the training process of an existing object detector and present empirical results. The key contributions of this empirical study is to demonstrate that a model trained in this manner can achieve results comparable to a model trained in the traditional manner using a much larger set of fully labeled data, and that a training data selection metric that is defined independently of the detector greatly outperforms a selection metric based on the detection confidence generated by the detector.
Magnetic hysteresis in nanostructures with thermally-controlled RKKY coupling
Creators: name: Polishchuk, D. M.
name: Tykhonenko-Polishchuk, Yu. O.
name: Borynskyi, V. Yu.
name: Kravets, A. F.
name: Tovstolytkin, A. I.
name: Korenivski, V.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Mechanisms of the recently demonstrated ex-situ thermal control of the indirect exchange coupling in magnetic multilayer are discussed for different designs of the spacer layer. Temperature-induced changes in the hysteresis of magnetization are shown to be associated with different types of competing interlayer exchange interactions. Theoretical analysis indicates that the measured step-like shape and hysteresis of the magnetization loops is due to local in-plane magnetic anisotropy of nano-crystallites within the strongly ferromagnetic films. Comparison of the experiment and theory is used to contrast the mechanisms of the magnetization switching based on the competition of (i) indirect (RKKY) and direct (non-RKKY) interlayer exchange interactions as well as (ii) indirect ferromagnetic and indirect antiferromagnetic (both of RKKY type) interlayer exchange.
description: 11 pages, 5 figures
Energy Prices and Real Economic Activity in Canada: A Multi-Sector Dynamic General Equilibrium Analysis
Creators: name: Dissou, Yazid
Publisher: name: My University
Year: 2007
Subjects: Energy prices
commodity prices
aggregate and sectoral impacts
dynamic general equilibrium modeling
Canada
Prix de l'énergie
impacts agrégés et sectoriels
modèles d’équilibre général dynamique

description: As a net exporter of oil, the recent upward trend in the world prices of energy products represents both an opportunity and a challenge for Canada. This study investigates the aggregate and sectoral effects of a sustained increase in these prices on the Canadian economy using a multi-sector forward-looking dynamic general equilibrium model. Counterfactual simulation results suggest that these price shocks would be beneficial to the Canadian economy on an aggregate basis, as real GDP would increase during most periods and households would increase their consumption profile during all periods and would thereby improve their well being. Nevertheless, the price increases would also shift resources toward export booming sectors and would lead to an appreciation of the real exchange rate that would not be beneficial to traditional manufacturing export industries. / En tant qu’exportateur net de pétrole, la récente montée des cours mondiaux des produits énergétiques représente à la fois une opportunité et un défi pour le Canada. Cette étude analyse les impacts agrégés et sectoriels d'une augmentation soutenue de ces prix sur l'économie canadienne à l’aide d’un modèle d’équilibre général multisectoriel dynamique avec anticipations rationnelles. Les résultats de simulation suggèrent que cette hausse de prix serait en général bénéfique à l'économie canadienne dans son ensemble, puisque le PIB réel augmenterait pendant plusieurs périodes et les ménages pourraient augmenter leur bien-être grâce à une augmentation soutenue de leur consommation. Toutefois, l’augmentation de ces prix drainerait les ressources vers les secteurs pétroliers et conduirait à une appréciation du taux de change réel qui ne serait pas bénéfique pour des industries qui exportent traditionnellement des biens manufacturiers.
Concomitants of Order Statistics Arising from the Morgenstern Type Bivariate Lindley Distribution
Creators: name: M. R. Irshad
name: R. Maya
name: S. P. Arun
Publisher: name: Zenodo
Year: 2021
Subjects: Concomitants of order statistics
best linear unbiased estimator
Lindley distribution
Morgenstern type bivariate Lindley distribution

description: In this work, we developed the distribution theory of concomitants of order statistics arising from the Morgenstern type bivariate Lindley distribution (MTBLDD) and derived the best linear unbiased estimator (BLUE) of the parameter associated with the study variate when the dependence parameter is known. The efficiency comparison of the BLUE with respect to the unbiased estimator is also evaluated in this work.
Efficient mid-term forecasting of hourly electricity load using generalized additive models
Creators: name: Zimmermann, Monika
name: Ziel, Florian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Applications (stat.AP)
subject: Machine Learning (cs.LG)
subject: General Economics (econ.GN)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: Accurate mid-term (weeks to one year) hourly electricity load forecasts are essential for strategic decision-making in power plant operation, ensuring supply security and grid stability, planning and building energy storage systems, and energy trading. While numerous models effectively predict short-term (hours to a few days) hourly load, mid-term forecasting solutions remain scarce. In mid-term load forecasting, capturing the multifaceted characteristics of load, including daily, weekly and annual seasonal patterns, as well as autoregressive effects, weather and holiday impacts, and socio-economic non-stationarities, presents significant modeling challenges. To address these challenges, we propose a novel forecasting method using Generalized Additive Models (GAMs) built from interpretable P-splines that is enhanced with autoregressive post-processing. This model incorporates smoothed temperatures, Error-Trend-Seasonal (ETS) modeled and persistently forecasted non-stationary socio-economic states, a nuanced representation of effects from vacation periods, fixed date and weekday holidays, and seasonal information as inputs. The proposed model is evaluated using load data from 24 European countries over more than 9 years (2015-2024). This analysis demonstrates that the model not only has significantly enhanced forecasting accuracy compared to state-of-the-art methods but also offers valuable insights into the influence of individual components on predicted load, given its full interpretability. Achieving performance akin to day-ahead Transmission System Operator (TSO) forecasts, with computation times of just a few seconds for several years of hourly data, underscores the potential of the model for practical application in the power system industry.
title: ADCO, Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Cart. 32 (G 136), 745 folios, f. 0331
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0331, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Neuvième cartulaire de Saint-Étienne de Dijon (1661 - 1684), Archives départementales de la Côte-d'Or, Cart. 32 (G 136), 745 folios, f. 0331, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Semi-Dense Visual Odometry for Monocular Navigation in Cluttered Environment
Creators: name: Shreyansh  Daftry
name: Debadeepta  Dey
name: Harsimrat  Sandhawalia
name: Zeng, Sam
name: J. Andrew  Bagnell
name: Hebert, Martial
Publisher: name: Carnegie Mellon University
Year: 2015
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Recently, there have been numerous advances in the development of biologically inspired lightweight Micro Aerial Vehicles (MAVs). Due to payload and power constraints it is necessary for such systems to have autonomous navigation and flight capabilites in highly dense and cluttered environments using only passive sensors such as cameras. This is a challenging problem, given they have to operate in highly variable illumination conditions and be responsive to large environmental variations. In this paper we describe a scale-aware monocular vision based semi-dense direct depth perception system that enables robust autonomous navigation of small agile MAVs at low altitude through natural forest environments. We also show qualitative results in an outdoor dense forest area. I
Weather Index-based Insurance as an Effective and Sustainable Climate Change Adaptation Strategy for Smallholder Farmers in Malawi
Creators: name: Sivel, Rebecca May
Publisher: name: My University
Year: 2023

description: The impacts of climate change pose a significant threat to the livelihoods of smallholder farmers in developing countries. This is especially true in rural Malawi where farmers rely on rainfed crops as their major source of income. To help low income farmers respond to climate change, development agencies and international financial institutions have proposed a range of agricultural insurance products. While there are numerous insurance strategies, in recent years, weather index-based insurance has become an increasingly attractive option due to low-administration costs and reduction of moral hazard. This paper pulls from empirical evidence of existing weather index-based insurance research along with primary data collected through a case study from Malawi to explore whether or not weather index-based insurance is an effective and sustainable climate change adaptation strategy for women and men smallholder farmers in Malawi. This is done by examining its enrollment rates and scalability, its effectiveness in meeting the needs of women and men smallholder farmers, and if the weather 3 index-based insurance coverage is leading to improved agricultural practises and use of improved inputs and technologies. This paper finds that a serious and extensive investment into a gender responsive, well designed, robust but flexible weather index-based insurance product, in an enabling environment, could be a much needed bridge to sustainable climate change resilience for smallholder men and women farmers in Malawi.
Mimetidae Simon 1881
Creators: name: Kherbouche-Abrous, Ourida
name: Bouseksou, Samira
name: Alioua, Youcef
name: Beladjal, Lynda
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Mimetidae

description: 20. Family Mimetidae Simon, 1881
Species missing
Ero tuberculata (De Geer, 1778).
Citations and papers missing
Ero flammeola: Biskra (Simon 1932).
description: Published as part of Kherbouche-Abrous, Ourida, Bouseksou, Samira, Alioua, Youcef & Beladjal, Lynda, 2025, Corrections to the Article: " Bibliographic checklist of the Algerian spider fauna (Araneae) ", pp. 356-374 in Zootaxa 5609 (3) on page 363, DOI: 10.11646/zootaxa.5609.3.3, http://zenodo.org/record/15215222
Earth-Scattering of super-heavy Dark Matter: updated constraints from detectors old and new
Creators: name: Kavanagh, Bradley J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Direct searches for Dark Matter (DM) are continuously improving, probing down to lower and lower DM-nucleon interaction cross sections. For strongly-interacting massive particle (SIMP) Dark Matter, however, the accessible cross section is bounded from above due to the stopping effect of the atmosphere, Earth and detector shielding. We present a careful calculation of the SIMP signal rate, focusing on super-heavy DM ($m_χ\gtrsim 10^5 \,\,\mathrm{GeV}$) for which the standard nuclear-stopping formalism is applicable, and provide code for implementing this calculation numerically. With recent results from the low-threshold CRESST 2017 surface run, we improve the maximum cross section reach of direct detection searches by a factor of around 5000, for DM masses up to $10^8 \,\,\mathrm{GeV}$. A reanalysis of the longer-exposure, sub-surface CDMS-I results (published in 2002) improves the previous cross section reach by two orders of magnitude, for masses up to $10^{15} \,\,\mathrm{GeV}$. Along with complementary constraints from SIMP capture and annihilation in the Earth and Sun, these improved limits from direct nuclear scattering searches close a number of windows in the SIMP parameter space in the mass range $10^6$ GeV to $10^{13}$ GeV, of particular interest for heavy DM produced gravitationally at the end of inflation.
description: 12 pages, 7 figures. Code available at https://github.com/bradkav/verne . Comments welcome. v2: Fixed references and minor typos, corrected "$\nu$-cleus" to "CRESST 2017 surface run". v3: Added Appendix A with explicit expressions and coordinate system. v4: Added discussion of variance in final DM speed. Version published in PRD
Risk of thrombosis and major bleeding in JAK2-positive myeloproliferative neoplasm patients receiving low-dose aspirin: a systematic review and meta-analysis
Creators: name: Kimpton, Miriam
name: Delluc, Aurelien
name: Fergusson, Dean
name: Carrier, Marc
Publisher: name: My University
Year: 2020
Subjects: Myeloproliferative Neoplasms
Aspirin

description: Protocol for a systematic review and meta-analysis
Many-body localization, symmetry, and topology
Creators: name: Parameswaran, S. A.
name: Vasseur, Romain
Publisher: name: arXiv
Year: 2018
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We review recent developments in the study of out-of-equilibrium topological states of matter in isolated systems. The phenomenon of many-body localization, exhibited by some isolated systems usually in the presence of quenched disorder, prevents systems from equilibrating to a thermal state where the delicate quantum correlations necessary for topological order are often washed out. Instead, many-body localized systems can exhibit a type of eigenstate phase structure wherein their entire many-body spectrum is characterized by various types of quantum order, usually restricted to quantum ground states. After introducing many-body localization and explaining how it can protect quantum order, we then explore how the interplay of symmetry and dimensionality with many-body localization constrains its role in stabilizing topological phases out of equilibrium.
description: Key Issues Review for Reports on Progress in Physics. Published version
Semi-Autonomous Manipulation of Natural Objects
Creators: name: Katz, Dov
name: Moslem  Kazemi
name: J. Andrew  Bagnell
name: Stentz, Anthony
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Effective deployment of robots in search and rescue missions will enable faster and safer removal of debris and other hazardous material. As a result, additional lives will be saved, the number and severity of injuries will decrease, and significant damage to infrastructure will be avoided. Already today robots are an integral part of many search and rescue units. These robots typically serve as either mobile cameras (autonomy in navigation, but no manipulation capabilities) or as tools controlled by a human operator (no autonomy, but capable of interacting with the environment). We propose a robotic manipulator that shares a role with the human operator: the robot provides the operator with processed visual information and a set of possible actions, and the human operator chooses the desired next interaction with the environment. To that end, we develop a novel scene segmentation algorithm based on 3D data and a toolbox of compliant motion controllers. We evaluate our approach in real-world experiments in which our robot is tasked with clearing piles of unknown natural objects.
Assessing the Effectiveness of National Wetland Adaptation and Management Frameworks in Kenya; The case of Nyando Wetland Ecosystem
Creators: name: Ongoro, Wilver
Publisher: name: My University
Year: 2017

description: Wetlands are among the world’s most productive ecosystems. They are considered vital for sustainable development and human well-being. Development and implementation of programs for sustainable management and conservation of these wetlands, as well as for climate change adaptation, in resource poor settings of low and middle income countries remains a major challenge. In the face of climate change that is largely driven by richer countries due to their larger carbon footprint, the burden of disrupted livelihoods as a result of climate change, will disproportionately fall on poor communities like those residing along the Nyando wetland basin in western Kenya. This paper describes the Nyando Wetland ecosystem and its challenges and uses it as a case study to demonstrate the complexities of developing sustainable wetland management and climate change adaptation programs in a low and middle income country. The current Kenya national framework (environment), policy documents and strategies have been outlined and measured against international best principles and practices for wetland management and climate change adaptation. This framework has also evaluated for feasibility. In general, the framework is extensive and suitable and identifies all the main stakeholders and provides an excellent grasp of the challenges. Legislative documents are responsive to the problems identified. Nonetheless, there remain a few challenges, including lack of coherent institutional frameworks to provide coordinated programs, lack of sufficient mechanisms to involve local populations, lack of capacity to analyze and interpret data and absence of capacity for long term ecosystem service monitoring and economic analysis. More importantly, the socio-political and legal context of this framework is complicated by poor governance systems where political will to maintain responsible and accountable use of public resources is lacking. In addition, there is strong intention to prepare communities around wetlands for climate change, but adaptation mechanisms are not well described and pathways to obtain the best information for decision making are not well described. The formation of lean organizations with sufficient local participation and with the required capacity will be instrumental in developing and implementing relevant and context-specific wetland management and climate change adaptation programs in Nyando and other wetlands and ecosystems in Kenya. Notably, sustainable wetland management and climate change adaptability can only successfully be implemented if accompanied by socio-political reforms that achieve better governance and accountability.
Semantic-based Biomedical Image Indexing and Retrieval
Creators: name: Yanxi  Liu
name: Lazar, Nicole A.
name: W. E. Rothfus
name: F.  Dellaert
name: Moore, Andrew
name: Schneider, Jeff
name: Kanade, Takeo
Publisher: name: Carnegie Mellon University
Year: 2003
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: This paper summarizes our work and our understanding on volumetric pathological neuroimage retrieval under the framework of classification-driven feature selection. The main effort concerns off-line image feature space reduction for improved image indexing feature discriminating power as well as reduced computational cost during on-line pathological neuroimage retrieval.
Self-Supervised Segmentation of River Scenes
Creators: name: Supreeth  Achar
name: Bharath  Sankaran
name: Nuske, Stephen
name: Scherer, Sebastian
name: Singh, Sanjiv
Publisher: name: Carnegie Mellon University
Year: 2011
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: Here we consider the problem of automatically segmenting images taken from a boat or low-flying aircraft. Such a capability is important for autonomous river following and mapping. The need for accurate segmentation in a wide variety of riverine environments challenges the state of the art vision-based methods that have been used in more structured environments such as roads and highways. Apart from the lack of structure, the principal difficulty is the large spatial and temporal variations in the appearance of water in the presence of nearby vegetation and with reflections from the sky. We propose a self-supervised method to segment images into `sky', `river' and `shore' (vegetation + structures) regions. Our approach uses assumptions about river scene structure to learn appearance models based on features like color, texture and image location which are used to segment the image. We validated our algorithm by testing on four datasets captured under varying conditions on different rivers. Our self-supervised algorithm had higher accuracy rates than a supervised alternative, often significantly more accurate, and does not need to be retrained to work under different conditions.