cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On the complexity of some birational transformations
Creators: name: D'Auriac, Jean Christian Angles
name: Maillard, Jean-Marie
name: Viallet, Claude
Publisher: name: arXiv
Year: 2005
Subjects: subject: Mathematical Physics (math-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Using three different approaches, we analyze the complexity of various birational maps constructed from simple operations (inversions) on square matrices of arbitrary size. The first approach consists in the study of the images of lines, and relies mainly on univariate polynomial algebra, the second approach is a singularity analysis, and the third method is more numerical, using integer arithmetics. Each method has its own domain of application, but they give corroborating results, and lead us to a conjecture on the complexity of a class of maps constructed from matrix inversions.
CFD simulation of transport phenomena in wastewater treatment via vacuum membrane distillation
Creators: name: Gader
Publisher: name: figshare
Year: 2020
Subjects: subject: 90404 Membrane and Separation Technologies
subject: FOS: Chemical engineering

description: The present study focuses on mathematical modeling and simulation of a membrane distillation process. A phenomenological model is utilized to predict transfer of species in a membrane distillation module. The used membrane module comprises a bunch of porous hollow-fibers, while the considered process is the vacuum-driven membrane distillation. For simulation of process, a computational fluid dynamics approach was applied. The latter was implemented based on finite element analysis for a numerical solution of the governing equations. An aqueous solution containing volatile organic 1, 1, 1 trichloroethane (TCA) was considered for the entire simulation under steady-state conditions. The simulation results were compared with experimental data reported in literature and demonstrated good agreement. Moreover, concentration of TCA and a heat transfer flux profile were obtained in the membrane module and analyzed
This is what dreams are made of : the effects of adaptation of popular tween/teen girl novels, films, and screenplay novelizations on constructions of varying femininities : The princess diaries and The Lizzie McGuire movie
Creators: name: Andersen, Kirsten
Publisher: name: University of British Columbia
Year: 2009

description: This thesis investigates the representations of adolescent femininity in post-2000 American novels and films produced for tween and teen girl audiences. It uses texts with similar narrative structures to compare the effects of adaptation from book-to-film to the effects of adaptation from screenplay-to-junior novelization. The overall methodological approach is discourse analysis, informed by narrative analysis adapted by Brian McFarlane from the work of Roland Barthes to consider the difference between what is transferred across media and what is adapted. Representations of femininity in the books and movies are explored through the distributional narrative functions, which can be transferred and may be adapted, as well as integrational narrative functions, which generally must be adapted according to medium. Gillian Rose's methods of visual analysis are used to consider the books and movies as objects, accounting for their technological, compositional and social elements. Varying discourses result from adaptation. The book-to-film adaptation strategies of transfer result in similar storytelling in both versions, while re-emphasis and adaptation also alter the discourse considerably. The film-to-book adaptation uses transferring devices and does not fully adapt the movie to a literary medium. All the texts reinscribe certain notions about femininity and offer many stock characters. Both movies imply adulthood as an endpoint of character development, while the book versions offer a consistently adolescent or pre-adolescent point of view. Both movies foreground the act of looking although it is not necessitated by the medium.
Dataset and scripts to analyze and predict PSA dynamics after external radiotherapy of prostate cancer via mechanistic modeling
Creators: name: Lorenzo, Guillermo
name: Di Muzio, Nadia
name: Deantoni, Chiara Lucrezia
name: Cozzarini, Cesare
name: Fodor, Andrei
name: Briganti, Alberto
name: Montorsi, Francesco
name: Perez-Garcia, Victor M.
name: Gomez, Hector
name: Reali, Alessandro
Publisher: name: Zenodo
Year: 2022
Subjects: mathematical oncology
prostate cancer
prostate specific antigen (PSA)
radiotherapy
biochemical relapse

description: Dataset and scripts to analyze and predict PSA dynamics after external radiotherapy of prostate cancer via mechanistic modeling
Large-scale assessment of invasiveness and potential for ecological impact by non-native tree species
Creators: name: Potter, Kevin
name: Smith, William D.
Publisher: name: figshare
Year: 2020
Subjects: subject: 50103 Invasive Species Ecology
subject: FOS: Earth and related environmental sciences

description: Potter, K.M., and W.D. Smith. 2012. Large-scale assessment of invasiveness and potential for ecological impact by non-native tree species. Chapter 5 in K.M. Potter and B.L. Conkling, eds., Forest Health Monitoring 2009 National Technical Report. General Technical Report SRS-167. Asheville, North Carolina: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 79-94.
Nonnative plant species pose a serious environmental concern because they can alter fire regimes, nutrient cycling, hydrology, energy budgets, and biodiversity. Data from the Forest Inventory and Analysis (FIA) Program of the Forest Service were used to quantify the invasiveness of nonnative tree species, while identifying locations in which nonnative tree species are concentrated and where they may have the most significant ecological impacts. Scots pine (Pinus sylvestris) was the most abundant nonnative species, relatively common throughout the Great Lakes States and the Northeast. Nonnative tree species are much more prevalent in the eastern half of the country than in the West, where they are largely absent. Non-natives tended to be more common in ecoregion sections along the Gulf Coast, in the Mid-Atlantic States and in the eastern portions of the Midwest, while native trees that have expanded past their historical range were more prevalent in the central Midwest and in the Southern Plains States.
POLÍTICA DE SEGURO-DESEMPREGO AO PESCADOR ARTESANAL: ASSITENCIALISMO OU INCENTIVO?
Creators: name: Teixeira, Gibran Da Silva
name: Abdallah, Patrizia Raggi
name: Teixeira, Gibran Da Silva
name: Abdallah, Patrizia Raggi
Publisher: name: Unknown
Year: 2008
Subjects: subject: Labor and Human Capital
subject: Risk and Uncertainty
subject: Seguro-Desemprego
subject: Pesca Artesanal
subject: Sustentabilidade

description: O presente estudo tem como objetivo, caracterizar a política de seguro-desemprego destinada aos pescadores artesanais no Brasil, tendo como foco de análise o estado do Rio Grande do Sul. Para isso, utilizou-se em uma primeira etapa a pesquisa exploratória descritiva e logo após, em uma segunda, com o propósito de estimar a função de procura pelo benefício no estado do Rio Grande do Sul, usou-se o método dos Mínimos Quadrados Ordinários. Constatou-se que uma redução de 10% na quantidade de pescado oriundo da pesca artesanal, proporciona um aumento na procura pelo benefício de 12,6% e se analisada a função procura, anterior e posteriormente a 1998, verifica-se que ocorre um deslocamento da procura, o que têm um efeito ambíguo, pois ao mesmo tempo em que facilita o acesso ao benefício, pode estar atraindo mais indivíduos para atividade e em conjunto com os já existentes acaba por aumentar o esforço de pesca e dessa forma influenciar no processo de sustentabilidade da atividade.---------------------------The present study it has as objective, to characterize the Politics of Unemployment Insurance destined to artisan fisher in Brazil, having as focus of analysis is the South Big River state. For this, the descriptive research was used in a first stage and, in one second, with the intention esteem the function of search for benefit in the South Big River state, the method of Minimus Squared was used. It was evidenced that a reduction of 10% in the fished amount of deriving artisan fisher, provides an increase in the search for the 12,6% benefit and if analyzed the function of previous search and later the 1998, it is verified that a displacement of the search occurs, what they have an ambiguous effect therefore, at the same time where it facilitates the access to the benefit, it can be attracting more individuals for activity and in set with already the existing ones it finishes for increasing fishes effort and this form to influence in the process of sustentability of the activity.
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework
Creators: name: Srivastava, Amber
name: Salapaka, Srinivasa M
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We present a framework to address a class of sequential decision making problems. Our framework features learning the optimal control policy with robustness to noisy data, determining the unknown state and action parameters, and performing sensitivity analysis with respect to problem parameters. We consider two broad categories of sequential decision making problems modelled as infinite horizon Markov Decision Processes (MDPs) with (and without) an absorbing state. The central idea underlying our framework is to quantify exploration in terms of the Shannon Entropy of the trajectories under the MDP and determine the stochastic policy that maximizes it while guaranteeing a low value of the expected cost along a trajectory. This resulting policy enhances the quality of exploration early on in the learning process, and consequently allows faster convergence rates and robust solutions even in the presence of noisy data as demonstrated in our comparisons to popular algorithms such as Q-learning, Double Q-learning and entropy regularized Soft Q-learning. The framework extends to the class of parameterized MDP and RL problems, where states and actions are parameter dependent, and the objective is to determine the optimal parameters along with the corresponding optimal policy. Here, the associated cost function can possibly be non-convex with multiple poor local minima. Simulation results applied to a 5G small cell network problem demonstrate successful determination of communication routes and the small cell locations. We also obtain sensitivity measures to problem parameters and robustness to noisy environment data.
description: 17 pages, 7 figures
ORGANIZAÇÃO SOCIAL DOS POVOS INDÍGENAS E SUA INFLUENCIA NA ESTRUTURA DE MERCADO DE CASTANHA-DO-BRASIL: O CASO DA COMUNIDADE INDÍGENA RIKBAKTSA
Creators: name: Souza, Ivonete Fernandes
name: Tredezini, Cicero Antonio Oliveira
name: Lima, Dario Oliveira
name: Pereira, Benedito Dias
name: Araujo, Geraldino Carneiro
name: Souza, Ivonete Fernandes
name: Tredezini, Cicero Antonio Oliveira
name: Lima, Dario Oliveira
name: Pereira, Benedito Dias
name: Araujo, Geraldino Carneiro
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agribusiness
subject: Marketing
subject: FOS: Economics and business
subject: Organização social
subject: Índios Rikbaktsa
subject: Estrutura de mercado
subject: Castanha-do-brasil
subject: Social Organization
subject: Rikbaktsa Indians
subject: Market Structure
subject: Brazil Nut

description: Este trabalho pretendeu demonstrar a influência da organização social nas estruturas de mercado existentes entre o agente produtor versus agente intermediário e o agente produtor versus varejista da cadeia produtiva de castanha-do-brasil no Estado de Mato Grosso. Propôs-se uma abordagem acerca das mudanças na organização social do povos Rikbaktsa influenciadas pelos jesuítas e seringueiros, bem como, da base de sobrevivência desse povo. Como base teórica tratou-se dos conceitos das principais estruturas de mercado. O trabalho conclui que a organização social dos povos indígenas Rikbaktsa é determinante da estrutura de mercado da castanha-do-brasil e da distribuição dos ganhos monetários ao longo da cadeia produtiva.------------------------This paper intended to show the influence of the social organization at the existing market structure between the producer agent versus intermediate agent and the producer agent versus the retail one from the productive chain of Brazil nuts in Mato Grossso State. It was proposed an approach about the changes at the social organization from the Rikbaktsa peoples influenced by the Jesuits and rubber worker as well, the base of survival of these people. With theorical base it dealt with the concepts of the main market structure. It was concluded in the paper that the social organization of the aborigines Rikbaktsa peoples is determining of the structure of Brazil nuts market and the distribution of monetary earnings along the productive chain.
Construction of Variational Matrix Product States for the Heisenberg Spin-1 Chain
Creators: name: Kim, Jintae
name: Kim, Minsoo
name: Kawashima, Naoki
name: Han, Jung Hoon
name: Lee, Hyun-Yong
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We propose a simple variational wave function that captures the correct ground state energy of the spin-1 Heisenberg chain model to within 0.04\%. The wave function is written in the matrix product state (MPS) form with the bond dimension $D=8$, and characterized by three fugacity parameters. The proposed MPS generalizes the Affleck-Kennedy-Lieb-Tasaki (AKLT) state by dressing it with dimers, trimers, and general $q$-dimers. The fugacity parameters control the number and the average size of the $q$-mers. Furthermore, the $D=8$ variational MPS state captures the ground states of the entire family of bilinear-biquadratic Hamiltonian belonging to the Haldane phase to high accuracy. The 2-4-2 degeneracy structure in the entanglement spectrum of our MPS state is found to match well with the results of density matrix renormalization group (DMRG) calculation, which is computationally much heavier. Spin-spin correlation functions also find excellent fit with those obtained by DMRG.
Synaptic secretion from Human Natural Killer cells is diverse and includes supramolecular attack particles
Creators: name: Ambrose, Ashley R.
name: Hazime, Khodor S.
name: Worboys, Jonathan
name: Niembro-Vivanco, Olatz
name: Davis, Daniel M.
Publisher: name: figshare
Year: 2020
Subjects: subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Molecular Biology

description: NK cells form immune synapses to ascertain the state of health of cells they encounter. If a target cell triggers NK cell cytotoxicity, lytic granules containing proteins including perforin and granzyme B, are secreted into the synaptic cleft inducing target cell death. Secretion of these proteins also occurs from activated cytotoxic T lymphocytes (CTLs), where they have recently been reported to complex with thrombospondin-1, in specialized structures termed supramolecular attack particles (SMAPs). Here, using an imaging method to define the position of each NK cell after removal, secretions from individual cells were quantitatively assessed. NK cell synaptic secretion, triggered by ligation of NKp30 or NKG2D, included vesicles and SMAPs which contained thrombospondin-1, perforin and granzyme B. Individual NK cells secreted either SMAPs or CD63+ vesicles, or both. A similar number of SMAPs were secreted per cell for both NK cells and CTLs, but NK cell SMAPs were larger. These data establish an unexpected diversity in NK cell synaptic secretions.
New MACRO results on atmospheric neutrino oscillations
Creators: name: Giacomelli, G.
name: Margiotta, A.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The final results of the MACRO experiment on atmospheric neutrino oscillations are presented and discussed. The data concern different event topologies with average neutrino energies of ~3 and ~50 GeV. Multiple Coulomb Scattering of the high energy muons in absorbers was used to estimate the neutrino energy of each event. The angular distributions, the L/E_nu distribution, the particle ratios and the absolute fluxes all favour nu_mu --> nu_tau oscillations with maximal mixing and Delta m^2 =0.0023 eV^2. A discussion is made on the Monte Carlos used for the atmospheric neutrino flux. Some results on neutrino astrophysics are also briefly discussed.
description: Invited Paper at the NANP03 Int. Conf., Dubna, 2003
Reply to Wang and Unruh
Creators: name: Carlip, S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: I reply to a Comment by Q. Wang and W.G. Unruh regarding my paper "Hiding the Cosmological Constant" [Phys. Rev. Lett. 123, 131302].
title: 01_1216
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
DETERMINANTES DA OFERTA DE EXPORTAÇÃO DE CARNE DE FRANGO NO PERÍODO DE 1992 A 2007
Creators: name: Silva, Marcia Aparecida Paiva
name: Campos, Antonio Carvalho
name: Silva, Marcia Aparecida Paiva
name: Campos, Antonio Carvalho
Publisher: name: Unknown
Year: 2008
Subjects: subject: International Relations/Trade
subject: Livestock Production/Industries
subject: Exportações
subject: Carne de Frango
subject: Auto-Regressão Vetorial (VAR)
subject: Exports
subject: Chicken
subject: Auto-Regression Vector (VAR)

description: -O objetivo deste trabalho é analisar os determinantes da oferta de exportação de carne de frango no período de 1992 a 2007, quando o setor conquistou maior representatividade nas exportações brasileiras. O modelo teórico fundamenta-se na determinação das exportações através da diferença entre a oferta e a demanda do mercado interno, sendo correspondente ao excedente do mercado doméstico. O modelo econométrico baseia-se na metodologia de Auto-Regressão Vetorial (VAR) restrito ou reparametrizado, denominado de Vetor de Correção de Erro (VEC). Para tanto, as propriedades de integração e a análise de co-integração pelo procedimento de Johansen foram consideradas na análise. Os resultados mostram que o preço doméstico e a renda interna têm significativo impacto sobre as exportações de carne de frango brasileira, apresentando reflexos negativos sobre o volume exportado. O preço externo apresenta impacto significativo e positivo sobre a quantidade exportada. A taxa de câmbio não se apresentou estatisticamente significativa, o que indica a existência de outros fatores determinantes das exportações de carne de frango, que não foram considerados.----------------------------------The objective of this study is to analyze the determinants of chicken meat export supply in the period from 1992 to 2007, when the industry won greater representation in Brazilian exports. The theoretical model is based on the determination of exports through the gap between supply and demand of the internal market, which corresponds to the surplus of the domestic market. The econometric model is based on the Vector Auto-Regressive (VAR) methodology restricted or reparametrized, known as Vector Error Correction (VEC). Thus, the integration and co-integration analysis properties of the Johansen’s procedure were considered in the analysis. The results show that the price and household income have significant impact on Brazilian chicken meat exports, leading to a negative effect on the exported volume. The external price presents significant and positive impact on the quantity exported. The exchange rate did not have statistical significance, which indicates the existence of other determinants on chicken meat exports, which were not considered.
Introduction: Forest Health Monitoring 2009 National Technical Report
Creators: name: Potter, Kevin
Publisher: name: figshare
Year: 2020
Subjects: subject: 70505 Forestry Pests, Health and Diseases
subject: FOS: Agriculture, forestry and fisheries

description: Potter, K.M. 2012. Introduction. Chapter 1 in K.M. Potter and B.L. Conkling, eds., Forest Health Monitoring 2009 National Technical Report. General Technical Report SRS-167. Asheville, North Carolina: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 9-18.
Healthy ecosystems are those that are stable and sustainable, able to maintain their organization and autonomy over time while remaining resilient to stress (Costanza 1992). The Forest Health Monitoring (FHM) Program of the Forest Service, U.S. Department of Agriculture, with cooperating researchers within and outside the Forest Service, quantifies the health of U.S. forests within the context of the sustainable forest management criteria and indicators outlined in the Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests (Montréal Process Working Group 2007). The analyses and results outlined in this FHM annual national technical report offer a snapshot of the current condition of U.S. forests from a national or multi-State regional perspective, incorporating baseline investigations of forest ecosystem health, examinations of change over time in forest health metrics, and assessments of developing threats to forest stability and sustainability. Several chapters describe new techniques for analyzing forest health data as well as new applications of established techniques. Most of these chapters address Criterion 3 of the Montréal Process, which focuses on maintenance of forest ecosystem health and vitality. Half of the research chapters address Indicator 15, “Area and Percent of Forest Affected by Biotic Agents beyond Reference Conditions,” while half address Indicator 16, “Area and Percent of Forest Affected by Abiotic Agents beyond Reference Conditions.” Finally, this report presents summaries of results from recently completed evaluation monitoring (EM) projects that have been funded through the FHM national program to determine the extent, severity and/or causes of specific forest health problems (Forest Health Monitoring 2008).
Moduli spaces of d-connections and difference Painleve equations
Creators: name: Arinkin, D.
name: Borodin, A.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Algebraic Geometry (math.AG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 14D20, 39A10

description: We show that difference Painleve equations can be interpreted as isomorphisms of moduli spaces of d-connections on the projective line with given singularity structure. We also derive a new difference equation. It is the most general difference Painleve equation known so far, and it degenerates to both difference Painleve V and classical (differential) Painleve VI equations.
description: 30 pages (LaTeX)
Perfect electromagnetic conductor
Creators: name: Lindell, Ismo V.
name: Sihvola, Ari
Publisher: name: arXiv
Year: 2005
Subjects: subject: Classical Physics (physics.class-ph)
subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: In differential-form representation, the Maxwell equations are represented by simple differential relations between the electromagnetic two-forms and source three-forms while the electromagnetic medium is defined through a constitutive relation between the two-forms. The simplest of such relations expresses the electromagnetic two-forms as scalar multiples of one another. Because of its strange properties, the corresponding medium has been considered as nonphysical. In this study such a medium is interpreted in terms of the classical Gibbsian vectors as a bi-isotropic medium with infinite values for its four medium parameters. It is shown that the medium is a generalization of both PEC (perfect electric conductor) and PMC (perfect magnetic conductor) media, with similar properties. This is why the medium is labeled as PEMC (perfect electromagnetic conductor). Defining a certain class of duality transformations, PEMC medium can be transformed to PEC or PMC media. As an application, plane-wave reflection from a planar interface of air and PEMC medium is studied. It is shown that, in general, the reflected wave has a cross-polarized component, which is a manifestly nonreciprocal effect.
title: Detecting local events using multiple social networking services and geographical clustering
Creators: name: Schirmer, Maximilian
Publisher: name: TU Wien
Year: 2020
Subjects: subject: event detection
subject: machine learning
subject: social media
subject: web mining
subject: event detection
subject: machine learning
subject: social media
subject: web mining

description: Tag für Tag werden wir alle Zeugen unzähliger Ereignisse, die unseren Alltag prägen. Durch die steigende Beliebtheit von digitalen, sozialen Netzwerken wurde es dabei so einfach wie nie zuvor, ebenjene Erlebnisse öffentlich mit der Welt zu teilen. In dieser Diplomarbeit wird untersucht, ob und wie derartige soziale Netzwerke als eine Art “verteilte Nachrichtenagentur” verstanden werden können. Dafür werden unterschiedliche soziale Netzwerke kombiniert und analysiert, wodurch sowohl von ihrer Vielfalt, als auch von ihren jeweiligen Eigenheiten profitiert werden kann. Um die geographische Genauigkeit der erkannten Ereignisse zu gewährleisten, muss der lokale Kontext mitunter aus dem Inhalt der Nachricht selbst extrahiert werden. Im Zuge dieser Arbeit wurde ein funktionsfähiger Prototyp entwickelt, der die theoretischen Überlegungen auch praktisch implementiert und validiert. Durch die Nutzung von geographischem Clustering in Kombination mit unterschiedlichen Ansätzen aus dem Bereich des maschinellen Lernens gelingt es dadurch, auch lokal stark begrenzte Ereignisse mitunter kurz nach deren Erwähnung in sozialen Netzwerken zu erkennen.
description: Day-to-day we are becoming witnesses of numerous events. Due to online social networking services, it has never been easier to spread the news about those events we have just perceived. In this work, we will show how to use social media services as a crowd-sourced news agency. This is achieved by crawling multiple online social networking services, thereby benefiting from their varieties as well as differences. To allow for detecting local events affecting rather small areas (i.e. street level, points of interests etc.), precise location information must be extracted from the message content. We therefore have developed a working prototype implementation with restrictions to the city of Vienna. By using geographical clustering in combination with machine learning approaches, even local events can be detected shortly after their announcement on one (or multiple) social media services.
A LEGISLAÇÃO TRABALHISTA BRASILEIRA E SEUS EFEITOS ADVERSOS SOBRE OS CUSTOS DE TRANSAÇÃO NA AGRICULTURA
Creators: name: Rezende, Gervasio Castro De
name: Kreter, Ana Cecilia De Medeiros
name: Rezende, Gervasio Castro De
name: Kreter, Ana Cecilia De Medeiros
Publisher: name: Unknown
Year: 2008
Subjects: subject: Labor and Human Capital
subject: Legislação Trabalhista Agrícola
subject: Custos de Transação
subject: Trabalho Sazonal Agrícola
subject: Agricultural labor legislation
subject: Transaction costs
subject: Agricultural seasonal labor

description: Este trabalho pretende contribuir para a análise do padrão inadequado de nosso crescimento agrícola em termos de absorção de mão de obra, focalizando, especialmente, o papel da política trabalhista agrícola. Embora admitindo a importância dos “encargos trabalhistas”, a análise dá mais ênfase aos “custos de transação” decorrentes dessa política; o artigo propõe, na realidade, que esses “custos de transação” sejam mais importantes do que os “encargos trabalhistas” para a análise do papel dessa política. O trabalho termina propondo uma mudança na atual política trabalhista agrícola, tendo em vista permitir que contratos sejam estabelecidos entre as partes envolvidas, de forma muito mais livre do que atualmente. Isso não significa, contudo, que o setor público fique ausente nesse novo mercado de trabalho, inclusive em face de seu papel de garantir o cumprimento desses contratos.-----------------------
Robust and Fast Holonomic Quantum Gates with Encoding on Superconducting Circuits
Creators: name: Chen, Tao
name: Shen, Pu
name: Xue, Zheng-Yuan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: High-fidelity and robust quantum manipulation is the key for scalable quantum computation. Therefore, due to the intrinsic operational robustness, quantum manipulation induced by geometric phases is one of the promising candidates. However, the longer gate time for geometric operations and more physical-implementation difficulties hinder its practical and wide applications. Here, we propose a simplified implementation of universal holonomic quantum gates on superconducting circuits with experimentally demonstrated techniques, which can remove the two main challenges by introducing the time-optimal control into the construction of quantum gates. Remarkably, our scheme is also based on a decoherence-free subspace encoding, with minimal physical qubit resource, which can further immune to error caused by qubit-frequency drift, which is regarded as the main error source for large scale superconducting circuits. Meanwhile, we deliberately design the quantum evolution to eliminate gate error caused by unwanted leakage sources. Therefore, our scheme is more robust than the conventional ones, and thus provides a promising alternative strategy for scalable fault-tolerant quantum computation.
description: 5 pages, 4 figures
Large-scale patterns of insect and disease activity in the conterminous United States and Alaska from the national insect and disease detection survey database, 2007 and 2008
Creators: name: Potter, Kevin
Publisher: name: figshare
Year: 2020
Subjects: subject: 70505 Forestry Pests, Health and Diseases
subject: FOS: Agriculture, forestry and fisheries

description: Potter, K.M. 2012. Large-scale patterns of insect and disease activity in the conterminous United States and Alaska from the national insect and disease detection survey database, 2007 and 2008. Chapter 4 in K.M. Potter and B.L. Conkling, eds., Forest Health Monitoring 2009 National Technical Report. General Technical Report SRS-167. Asheville, North Carolina: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 63-78.
Monitoring the occurrence of forest pest and pathogen outbreaks is important at regional scales because of the significant impact insects and disease can have on forest health across landscapes. Hot spot analysis of FHP low-altitude survey data from 2007 and 2008 detected significant clusters of forest mortality associated with mountain pine beetle in the West, including northern Colorado and southern Wyoming, western Montana, and northern Washington. Forest winter moth, gypsy moth and Diplodia canker were responsible for a mortality hot spot in New England. The most extensive hot spot of defoliation in both years occurred in the Northeast, and was associated with forest tent caterpillar and gypsy moth. Spruce beetle and northern spruce engraver beetle were the most significant cause of mortality in Alaska, while aspen leafminer was the most important defoliation agent there.
First principles theory of Dirac semimetal Cd$_3$As$_2$ under Zeeman magnetic field
Creators: name: Baidya, Santu
name: Vanderbilt, David
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Time-reversal broken Weyl semimetals have attracted much attention recently, but certain aspects of their behavior, including the evolution of their Fermi surface topology and anomalous Hall conductivity with Fermi-level position, have remained underexplored. A promising route to obtain such materials may be to start with a nonmagnetic Dirac semimetal and break time-reversal symmetry via magnetic doping or magnetic proximity. Here we explore this scenario in the case of the Dirac semimetal Cd$_{3}$As$_{2}$, based on first-principles density-functional calculations and subsequent low-energy modeling of Cd$_{3}$As$_{2}$ in the presence of a Zeeman field applied along the symmetry axis. We clarify how each four$-$fold degenerate Dirac node splits into four Weyl nodes, two with chirality $\pm 1$ and two higher-order nodes with chirality $\pm 2$. Using a minimal \kdotp model Hamiltonian whose parameters are fit to the first-principles calculations, we detail the evolution of the Fermi surfaces and their Chern numbers as the Fermi energy is scanned across the region of the Weyl nodes at fixed Zeeman field. We also compute the intrinsic anomalous Hall conductivity as a function of Fermi-level position, finding a characteristic inverted-dome structure. Cd$_{3}$As$_{2}$ is especially well suited to such a study because of its high mobility, but the qualitative behavior revealed here should be applicable to other Dirac semimetals as well.
Towards High Throughput Large Area Metalens Fabrication using UV-Nanoimprint lithography and Bosch Deep Reactive Ion Etching
Creators: name: Dirdal, Christopher A.
name: Jensen, Geir Uri
name: Angelskår, Hallvard
name: Thrane, Paul Conrad Vaagen
name: Gjessing, Jo
name: Ordnung, Daniel Alfred
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We demonstrate the fabrication of diffraction-limited dielectric metasurface lenses for NIR by use of standard industrial high throughput silicon processing techniques: UV Nano Imprint Lithography (UV-NIL) combined with continuous Reactive Ion Etching (RIE) and pulsed Bosch Deep Reactive Ion Etching (DRIE). As the research field of metasurfaces moves towards applications these techniques are relevant as potential replacements of commonly used cost-intensive fabrication methods utilizing Electron Beam Lithography. We show that washboard-type sidewall surface roughness arising from the Bosch DRIE process can be compensated for in the design of the metasurface, without deteriorating lens quality. Particular attention is given to fabrication challenges that must be overcome towards high throughput production of relevance to commercial applications. Lens efficiencies are measured to be 30% and 17% at wavelengths λ = 1.55$μ$m and λ = 1.31$μ$m, respectively. A number of routes towards process optimization are proposed in relation to encountered challenges.
Ethanol Purification Using Polyamide-Carbon Nanotube Composite Membranes
Creators: name: Gader
Publisher: name: figshare
Year: 2020
Subjects: subject: 90404 Membrane and Separation Technologies
subject: FOS: Chemical engineering

description: This work presents synthesis and characterization of
polyamide-carbon nanotube (CNT) composite membranes for purification of ethanol. The solution-casting method was applied for preparation of nanocomposite membranes. The nanocomposite membranes were characterized using scanning electron microscopy to ensure the fine dispersion of nanoparticles in polymer matrix. The effect of CNT loading on membrane performance was investigated. The separation performance of synthesized membranes was evaluated in separation of ethanol from ethanol=water mixture using pervaporation. Effect of feed temperature and
feed concentration on separation of ethanol was investigated. The results showed that increasing temperature increases flux of ethanol through themembrane, but decreases separation factor. The results also confirmed that the best separation performance can be obtained at CNT loading of 0.5 wt%. Furthermore, a mathematical model was developed to simulate the separation process. The model was based on solving the continuity equation for ethanol in the feed side and membrane. The simulation results were compared with the experimental data and were in good agreement.
Controllable purification, cutting and unzipping of multi-walled carbon nanotubes with a microwave method
Creators: name: Gader
Publisher: name: figshare
Year: 2020
Subjects: subject: 90401 Carbon Capture Engineering (excl. Sequestration)
subject: FOS: Chemical engineering

description: A rapid microwave-assisted method was developed for the purification, cutting and unzipping of arrays of multi-walled carbon nanotubes (MWCNTs) using a mixture of KMnO4 and H2SO4. To harness the extent of treatment, MWCNT products were fully characterized at different reaction times by UV-visible and Raman spectroscopies as well as scanning and transmission electron microscopies. The results show that the carbon nanoparticles and the amorphous carbon which coated the MWCNTs were removed after about 10 minutes. The excessive oxidation of MWCNTs then leads to cutting and unzipping of graphitic walls. Moreover, while the catalyst residues outside the MWCNTs were rapidly extracted up to 10 minutes, the removal of catalyst residues inside the MWCNTs did not begin before 20 minutes. This method can be considered as an efficient route for the purification, cutting and unzipping of MWCNTs due to its fast and controllable procedure.
Primordial non-gaussianities in single field inflation
Creators: name: Seery, David
name: Lidsey, James E.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We calculate the three-point function for primordial scalar fluctuations in a single field inflationary scenario where the scalar field Lagrangian is a completely general function of the field and its first derivative. We obtain an explicit expression for the three-point correlation function in a self-consistent approximation scheme where the expansion rate varies slowly, analogous to the slow-roll limit in standard, single-field inflation. The three-point function can be written in terms of the familiar slow-roll parameters and three new parameters which measure the non-trivial kinetic structure of the scalar field, the departure of the sound speed from the speed of light, and the rate of change of the sound speed.
description: 26 pages, uses iopart.cls. Updated to match version published in JCAP
title: Enabling automation with deep learning at optical X-ray inspection station succeeding various soldering processes in electronic control units manufacturing
Creators: name: Toparcean, Dorian-Mihai
Publisher: name: TU Wien
Year: 2020
Subjects: subject: deep learning in manufacturing electronics
subject: neural networks
subject: convolutional neural
subject: deep learning in manufacturing electronics
subject: neural networks
subject: convolutional neural

description: This master thesis is thought to describe a general framework, environment and a step by step process, to facilitate implementation of deep learning in electronic control units manufacturing industry focusing on optical failure detection at automated optical inspections processes after soldering processes. The approach comes here from the desire to encourage and support any electronic manufacturing company to benefit from applying latest technologies in artificial intelligence, deep learning especially, because they are more than ever accessible, open source, could be based on cloud computing where also the needed environments is configured and ready to use at very attractive cost. Furthermore, this thesis will demonstrate the benefit of how automated decision making can be enabled by trained neuronal networks and prove that the knowledge bar is now inclined towards process experts users more then on practitioners having programming skills and mathematics and statistics knowledge. Within this master thesis, I will dedicate a special focus on image recognition making use of convolutional neural network. As a starting point I turned my studies towards Google and Facebook open source machine learning libraries, TensorFlow and PyTorch, developed by artificial intelligence research group of corresponding companies. This are offering incredibly powerful models for computer vision applications. Indeed, it was observed that convolutional neural network are the most suitable for analysing visual images. The case study will try to demonstrate that the ResNet50 of PyTorch trained convolutional neural network is able, with an accuracy of 0.93, to classify the optical images acquired by the X-ray system, enabling sorting them according to defined classes and in the end enabling automated decision according to pass fail criteria. Keywords: deep learning in manufacturing electronics, neural networks, convolutional neural networks
Mathematical Model for Numerical Simulation of Organic Compound Recovery Using Membrane Separation
Creators: name: Gader
Publisher: name: figshare
Year: 2020
Subjects: subject: 90404 Membrane and Separation Technologies
subject: FOS: Chemical engineering

description: A novel methodology in design and simulation of membrane-based purification
of organic solvents is proposed. A solution of water and alcohol served as model
feed. Mass transfer and momentum transfer equations were derived and solved
numerically to obtain the process output as function of process parameters. Water
was taken as penetrant throughout the simulations. The studied process was pervaporation in which a nonporous polymeric membrane is used for purification of ethanol. Feed inlet concentration and velocity were considered as process input, water outlet concentration and removal efficiency as output. The Maxwell-Stefan mass transfer approach was applied for estimation of diffusion, the finite element approach for numerical simulation of the process. A lower feed velocity increased the water removal efficiency.
A precise analytical description of the Earth matter effect on oscillations of low energy neutrinos
Creators: name: Ioannisian, A. N.
name: Kazarian, N. A.
name: Smirnov, A. Yu.
name: Wyler, D.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a formalism for the matter effects in the Earth on low energy neutrino fluxes which is both accurate and has all advantages of a full analytic treatment. The oscillation probabilities are calculated up to second order term in $ε(x) \equiv 2V(x)E/Δm^2$ where $V(x)$ is the neutrino potential at position $x$. We show the absence of large undamped phases which makes the expansion in $ε$ well behaved. An improved expansion is presented in terms of the variation of $V(x)$ around a suitable mean value which allows to treat energies up to those relevant for Supernova neutrinos. We discuss also the case of three-neutrino mixing.
description: REVTeX 4, 6 pages, 1 figure, several clarifications added, typos corrected
Characterizing Spatial Pattern in Ecosystem Service Values when Distance Decay Doesn’t Apply: Choice Experiments and Local Indicators of Spatial Association
Creators: name: Johnston, Robert J.
name: Ramachandran, Mahesh
name: Schultz, Eric T.
name: Segerson, Kathleen
name: Besedin, Elena Y.
name: Johnston, Robert J.
name: Ramachandran, Mahesh
name: Schultz, Eric T.
name: Segerson, Kathleen
name: Besedin, Elena Y.
Publisher: name: Unknown
Year: 2011
Subjects: subject: Environmental Economics and Policy
subject: Research Methods/ Statistical Methods
subject: Willingness to Pay
subject: Hot Spot
subject: Stated Preference
subject: Ecosystem Service
subject: Valuation

description: Stated preference analyses commonly impose strong and unrealistic assumptions in response to spatial welfare heterogeneity. These include spatial homogeneity or continuous distance decay. Despite their ubiquity in the valuation literature, global assumptions such as these have been increasingly abandoned by non-economics disciplines in favor of approaches that allow for spatial patchiness. This paper develops parallel methods to evaluate local patchiness and hot spots in stated preference welfare estimates, characterizing relevant patterns overlooked by traditional approaches. The analysis draws from a choice experiment addressing river restoration. Results demonstrate shortcomings in standard treatments of spatial heterogeneity and insights available through alternative methods.