cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
ANÁLISE DO IMPACTO DOS INVESTIMENTOS NA AGROPECUÁRIA SOBRE A GERAÇÃO DE PRODUTO, EMPREGO E IMPORTAÇÕES NO ESTADO DO CEARÁ
Creators: name: Almeida, Cleycianne Souza
name: Casimiro Filho, Francisco
name: Lima, Patricia Veronica Pinheiro Sales
name: Almeida, Cleycianne Souza
name: Casimiro Filho, Francisco
name: Lima, Patricia Veronica Pinheiro Sales
Publisher: name: Unknown
Year: 2006
Subjects: subject: Agribusiness
subject: Labor and Human Capital
subject: Agropecuária
subject: Multiplicadores
subject: Insumo-produto
subject: Política
subject: Investimentos

description: O conhecimento do impacto da variação na demanda final da agropecuária na geração de produto, emprego e importações reveste-se de grande relevância para o desenvolvimento econômico do Ceará. Este trabalho tem como objetivo geral analisar o impacto da política de investimentos na agropecuária sobre os demais setores da economia cearense, utilizando como instrumental analítico a teoria de insumo-produto. As conclusões apontam a importância da agropecuária para a economia do Estado em termos de geração de produto e de emprego, chamando a atenção para o caráter multiplicador da expansão dos investimentos voltados para este macro setor. Quanto às importações, observou-se elevada capacidade de geração de importações por parte da economia do Ceará, a partir dos investimentos aplicados na agropecuária, podendo representar um indício da fragilidade da estrutura produtiva cearense para fornecer insumos necessários à realização do seu processo produtivo. Ademais, a dependência de insumos importados pode ser prejudicial à expansão da agropecuária, caso a competitividade de seus produtos seja afetada negativamente. Por outro lado, o mesmo resultado pode representar oportunidades de negócios a serem aproveitadas, com a verticalização da produção. Para que a agropecuária cearense cumpra seu papel como indutora do desenvolvimento econômico, é imprescindível uma remodelação das políticas agrícolas vigentes.
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger
Creators: name: Yang, Zeyi
name: Ge, Sheng
name: Wan, Fang
name: Liu, Yujia
name: Song, Chaoyang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Robotic fingers made of soft material and compliant structures usually lead to superior adaptation when interacting with the unstructured physical environment. In this paper, we present an embedded sensing solution using optical fibers for an omni-adaptive soft robotic finger with exceptional adaptation in all directions. In particular, we managed to insert a pair of optical fibers inside the finger's structural cavity without interfering with its adaptive performance. The resultant integration is scalable as a versatile, low-cost, and moisture-proof solution for physically safe human-robot interaction. In addition, we experimented with our finger design for an object sorting task and identified sectional diameters of 94\% objects within the $\pm$6mm error and measured 80\% of the structural strains within $\pm$0.1mm/mm error. The proposed sensor design opens many doors in future applications of soft robotics for scalable and adaptive physical interactions in the unstructured environment.
description: 8 pages, 6 figures, full-length version of a submission to IEEE RoboSoft 2020
Multiband theory of multi-exciton complexes in self-assembled quantum dots
Creators: name: Sheng, Weidong
name: Cheng, Shun-Jen
name: Hawrylak, Pawel
Publisher: name: arXiv
Year: 2004
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report on a multiband microscopic theory of many-exciton complexes in self-assembled quantum dots. The single particle states are obtained by three methods: single-band effective-mass approximation, the multiband $k\cdot p$ method, and the tight-binding method. The electronic structure calculations are coupled with strain calculations via Bir-Pikus Hamiltonian. The many-body wave functions of $N$ electrons and $N$ valence holes are expanded in the basis of Slater determinants. The Coulomb matrix elements are evaluated using statically screened interaction for the three different sets of single particle states and the correlated $N$-exciton states are obtained by the configuration interaction method. The theory is applied to the excitonic recombination spectrum in InAs/GaAs self-assembled quantum dots. The results of the single-band effective-mass approximation are successfully compared with those obtained by using the of $k\cdot p$ and tight-binding methods.
description: 10 pages, 8 figures
Local Primordial Non-Gaussianities and Super-Sample Variance
Creators: name: Castorina, Emanuele
name: Dizgah, Azadeh Moradinezhad
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Fluctuations with wavelengths larger than the volume of a galaxy survey affect the measurement of the galaxy power spectrum within the survey itself. In the presence of local Primordial Non- Gaussianities (PNG), in addition to the super-sample matter density and tidal fluctuations, the large-scale gravitational potential also induces a modulation of the observed power spectrum. In this work we investigate this modulation by computing for the first time the response of the redshift-space galaxy power spectrum to the presence of a long wavelength gravitational potential, fully accounting for the stochastic contributions. For biased tracers new response functions arise due to couplings between the small-scale fluctuations in the density, velocity and gravitational fields, the latter through scale dependent bias operators, and the large-scale gravitational potential. We study the impact of the super-sample modes on the measurement of the amplitude of the primordial bispectrum of the local-shape, $f_{\rm NL}^{\rm loc}$, accounting for modulations of both the signal and the covariance of the galaxy power spectrum by the long modes. Considering DESI-like survey specifications, we show that in most cases super-sample modes cause little or no degradation of the constraints, and could actually reduce the errorbars on $f_{\rm NL}^{\rm loc}$ by (10 - 30)\%, if external information on the bias parameters is available.
description: 15 pages, 4 figures
Probabilistic Skyline Query Processing over Uncertain Data Streams in Edge Computing Environments
Creators: name: Lai, Chuan-Chi
name: Liu, Chuan-Ming
name: Chen, Yan-Lin
name: Wang, Li-Chun
Publisher: name: arXiv
Year: 2020
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Databases (cs.DB)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences

description: With the advancement of technology, the data generated in our lives is getting faster and faster, and the amount of data that various applications need to process becomes extremely huge. Therefore, we need to put more effort into analyzing data and extracting valuable information. Cloud computing used to be a good technology to solve a large number of data analysis problems. However, in the era of the popularity of the Internet of Things (IoT), transmitting sensing data back to the cloud for centralized data analysis will consume a lot of wireless communication and network transmission costs. To solve the above problems, edge computing has become a promising solution. In this paper, we propose a new algorithm for processing probabilistic skyline queries over uncertain data streams in an edge computing environment. We use the concept of a second skyline set to filter data that is unlikely to be the result of the skyline. Besides, the edge server only sends the information needed to update the global analysis results on the cloud server, which will greatly reduce the amount of data transmitted over the network. The results show that our proposed method not only reduces the response time by more than 50% compared with the brute force method on two-dimensional data but also maintains the leading processing speed on high-dimensional data.
description: 6 pages, 5 figures, to appear in 2020 IEEE Global Communications Conference: Selected Areas in Communications: Big Data
Gravitational waves from holographic QCD phase transition with gluon condensate
Creators: name: Zhu, Zhou-Run
name: Chen, Jun
name: Hou, Defu
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this paper, we discuss the holographic first order QCD phase transition with gluon condensate and the generation of gravitational waves (GWs) from the phase transition. The first order QCD phase transition is dual to the first order Hawking-Page phase transition from holography. We study the first order Hawking-Page phase transition from the thermal dilatonic phase to the dilatonic black hole phase and find the phase transition temperature is proportional to the gluon condensate. After substituting into the phenomenological value of gluon condensate from QCD sum rules, we find $T_c=155.38\ MeV$. In further research, we study the GWs generated from holographic cosmic first order QCD phase transition with gluon condensate and the produced GWs might be detected by the International Pulsar Timing Array, Square Kilometre Array and Big-Bang Observer. Moreover, the gluon condensate suppresses the energy density of total GWs and peak frequency.
description: 16 pages, 2 figures
O DESAFIO DA GESTÃO DAS ÁGUAS:A BUSCA DE UM MODELO ECONÔMICO DE DESENVOLVIMENTO SUSTENTÁVEL PARA O BRASIL
Creators: name: SILVA, LEONARDO XAVIER DA
name: SILVA, LEONARDO XAVIER DA
Publisher: name: Unknown
Year: 2006
Subjects: subject: Research and Development/Tech Change/Emerging Technologies
subject: Resource /Energy Economics and Policy
subject: gestão dos recursos hídricos
subject: modelos brasileiros
subject: outorga e cobrança

description: Neste artigo, discutiu-se o gerenciamento das águas, analisando-se o caso brasileiro. Foram abordados elementos que provocam a necessidade da gestão das águas no Brasil. Desde a década de 1930, existem leis para regulamentar os usos dos recursos hídricos, em resposta ao degradante crescimento urbano-industrial do século XX. A evolução dos modelos mostra o objetivo de tornar eficiente a gestão das águas. Para isso, optou-se pelo modelo sistêmico de integração participativa, baseado no exemplo francês. Por ele, a outorga e a cobrança pelo uso da água devem respeitar a proporcionalidade do uso e da poluição para sua eficiente execução. Constatou-se ainda que as políticas públicas para a implantação de atos que coíbam e que cobrem ações de recuperação da água por parte dos setores mais poluidores, como indústria, extração de minérios e agricultura, são insipientes. Assim, somente será possível obter êxito na gestão das águas quando houver a consciência da necessidade da sua recuperação. E, ainda, a gestão dos recursos hídricos tem de incorporar fundamentos teórico-metodológicos que compreendam as dimensões éticas sociais e ecológicas que envolvem o acesso e o uso da água.
Rigid-Soft Interactive Learning for Robust Grasping
Creators: name: Yang, Linhan
name: Wan, Fang
name: Wang, Haokun
name: Liu, Xiaobo
name: Liu, Yujia
name: Pan, Jia
name: Song, Chaoyang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify the interaction categories into Rigid-Rigid, Rigid-Soft, Soft-Rigid according to the interaction surface between grippers and target objects. We find experimental evidence that the interaction types between grippers and target objects play an essential role in the learning methods. We use soft, stuffed toys for training, instead of everyday objects, to reduce the integration complexity and computational burden and exploit such rigid-soft interaction by changing the gripper fingers to the soft ones when dealing with rigid, daily-life items such as the Yale-CMU-Berkeley (YCB) objects. With a small data collection of 5K picking attempts in total, our results suggest that such Rigid-Soft and Soft-Rigid interactions are transferable. Moreover, the combination of different grasp types shows better performance on the grasping test. We achieve the best grasping performance at 97.5\% for easy YCB objects and 81.3\% for difficult YCB objects while using a precise grasp with a two-soft-finger gripper to collect training data and power grasp with a four-soft-finger gripper to test.
description: 8 pages, 5 figures, Accepted for IEEE RAL and IEEE ICRA 2020
A high-order shock capturing discontinuous Galerkin-finite-difference hybrid method for GRMHD
Creators: name: Deppe, Nils
name: Hébert, François
name: Kidder, Lawrence E.
name: Teukolsky, Saul A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present a discontinuous Galerkin-finite-difference hybrid scheme that allows high-order shock capturing with the discontinuous Galerkin method for general relativistic magnetohydrodynamics. The hybrid method is conceptually quite simple. An unlimited discontinuous Galerkin candidate solution is computed for the next time step. If the candidate solution is inadmissible, the time step is retaken using robust finite-difference methods. Because of its a posteriori nature, the hybrid scheme inherits the best properties of both methods. It is high-order with exponential convergence in smooth regions, while robustly handling discontinuities. We give a detailed description of how we transfer the solution between the discontinuous Galerkin and finite-difference solvers, and the troubled-cell indicators necessary to robustly handle slow-moving discontinuities and simulate magnetized neutron stars. We demonstrate the efficacy of the proposed method using a suite of standard and very challenging 1d, 2d, and 3d relativistic magnetohydrodynamics test problems. The hybrid scheme is designed from the ground up to efficiently simulate astrophysical problems such as the inspiral, coalescence, and merger of two neutron stars.
description: Matches published version (sorry for delay reposting). 45 pages, 14 figures. Showed 2 more Riemann problems, added rotating NS test
POLÍTICAS PÚBLICAS DE EMPREGO URBANO EM BELÉM: A INSERÇÃO DE TRABALHADORES EM COOPERATIVAS POPULARES
Creators: name: SANTOS, RICARDO BRUNO
name: SOUZA, ARMANDO LIRIO
name: SANTOS, RICARDO BRUNO
name: SOUZA, ARMANDO LIRIO
Publisher: name: Unknown
Year: 2006
Subjects: subject: Labor and Human Capital
subject: Cooperativas populares
subject: Economia solidária
subject: Geração de emprego e renda
subject: Políticas públicas
subject: Região Metropolitana de Belém

description: Trata-se da apresentação do estudo sobre a organização econômica e social das cooperativas populares originadas do Programa de Geração de Emprego e Renda da Prefeitura Municipal de Belém na gestão 1994-2002.
Quasinormal behavior of massless scalar field perturbation in Reissner-Nordstrom anti-de Sitter spacetimes
Creators: name: Wang, Bin
name: Lin, Chi-Yong
name: Molina, C.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Astrophysics (astro-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We present a comprehensive study of the massless scalar field perturbation in the Reissner-Nordstrom anti-de Sitter (RNAdS) spacetime and compute its quasinormal modes (QNM). For the lowest lying mode, we confirm and extend the dependence of the QNM frequencies on the black hole charge got in previous works. In near extreme limit, under the scalar perturbation we find that the imaginary part of the frequency tends to zero, which is consistent with the previous conjecture based on electromagnetic and axial gravitational perturbations. For the extreme value of the charge, the asymptotic field decay is dominated by a power-law tail, which shows that the extreme black hole can still be stable to scalar perturbations. We also study the higher overtones for the RNAdS black hole and find large variations of QNM frequencies with the overtone number and black hole charge. The nontrivial dependence of frequencies on the angular index is also discussed.
description: 10 pages, 14 figures, 2 tables. Revised version, with several typos corrected. We thank Alexander Zhidenko and Owen Pavel Fernandez Piedra for pointing a mistake in Eq.(16), now fixed
Massive Star Feedback on the IMF
Creators: name: Robberto, M.
name: Song, J.
name: Carrillo, G. Mora
name: Beckwith, S. V. W.
name: Makidon, R. B.
name: Panagia, N.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We have obtained the first measures of the mass accretion rates on stars of the Trapezium Cluster. They appear systematically lower than those of similar stars in the Taurus-Auriga association. Together with premature disk evaporation, dramatically revealed by the HST images of the Orion proplyds, this result suggests that low mass stars in a rich cluster may be ``dwarfed'' by the influence of nearby OB stars. This feedback mechanism affects the IMF, producing an excess of low mass stars and brown dwarfs. The observed frequency of low mass objects in Orion vs. Taurus seems to confirm this scenario.
description: 3 pages
Evolution equations for a wide range of Einstein-matter systems
Creators: name: Normann, Mikael
name: Kroon, Juan Valiente
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We use an orthonormal frame approach to provide a general framework for the first order hyperbolic reduction of the Einstein equations coupled to a fairly generic class of matter models. Our analysis covers the special cases of dust and perfect fluid. We also provide a discussion of self-gravitating elastic matter. The frame is Fermi-Walker propagated and coordinates are chosen such as to satisfy the Lagrange condition. We show the propagation of the constraints of the Einstein-matter system.
REFORMA AGRÁRIA E USINAS PÚBLICAS: UMA ALTERNATIVA DE SUSTENTABILIDADE PARA A PRÇODUÇÃO DE BIODIESEL NO SERTÃO PERNAMBUCANO
Creators: name: Silva, Ana Maira Navaes Da
name: Albuquerque, Jose De Lima
name: Silva, Isnaldo Francisco Da
name: Correia, Luisa Matos Barros
name: Carvalho, Hugo Feitosa
name: Silva, Ana Maira Navaes Da
name: Albuquerque, Jose De Lima
name: Silva, Isnaldo Francisco Da
name: Correia, Luisa Matos Barros
name: Carvalho, Hugo Feitosa
Publisher: name: Unknown
Year: 2006
Subjects: Land Economics/Use
Resource /Energy Economics and Policy

description: A implantação de usinas públicas para produção de biodiesel no Semi-Árido Pernambucano, com incentivos do Programa Nacional de Produção do Biodiesel (PNBIO), veio finalizar o desenho para a inserção de agricultores familiares, beneficiários do programa nacional da reforma agrária, do Assentamento Libertação, município de Itaíba, na cadeia produtiva da mamona. No caso em análise, a participação dos agricultores foi facilitada através das ações do projeto reforma agrária e biodiesel, financiado pelo CNPq e desenvolvido pelo GRADES – Grupo de Pesquisa Reforma Agrária e Desenvolvimento Sustentável – no biênio 2005/2006, que resultaram na formação de um grupo produtivo, constituído por 50 famílias, após a imersão dos agricultores em processo de capacitação objetivando a apropriação de conhecimentos sobre o sistema produtivo da oleaginoso e gestão da produção. Neste trabalho são apresentados resultados da pesquisa destacando-se o processo de desenvolvimento em assentamentos de reforma agrária, a formação da cadeia produtiva da mamona em Pernambuco e os impactos no preço final da matéria-prima em função da participação do Estado com a implantação das usinas públicas de produção do biodiesel.
CMB lensing reconstruction biases from masking extragalactic sources
Creators: name: Lembo, Margherita
name: Fabbian, Giulio
name: Carron, Julien
name: Lewis, Antony
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Observed Cosmic Microwave Background (CMB) maps are contaminated by foregrounds, some of which are usually masked to perform cosmological analyses. If masks are correlated to the lensing signal, such as those removing extragalactic emissions located in matter overdensities, measurements over the unmasked sky may give biased estimates. We quantify the impact of these mask-induced biases for the reconstructed CMB lensing auto- and cross-correlation power spectra with external matter tracers. We show that they arise both from changes in the lensing power, and via modifications to the reconstruction power spectrum corrections, $N_L^{(0)}$, $N_L^{(1)}$ and $N_L^{(3/2)}$). For direct masking of the CMB lensing field, we derive simple analytic models of the masking effect and show that it is potentially large. We show that mask-induced biases are significantly reduced by optimal filtering of the CMB maps in the lensing reconstruction. We test the resulting lensing power spectrum biases on numerical simulations, masking radio sources, and peaks of thermal Sunyaev-Zeldovich (tSZ) and cosmic infrared background (CIB) emission. For the lensing auto spectrum, masking biases can only be measured with a statistical significance $\lesssim 3σ$ for future data sets. The same applies to the cross-correlation power spectra between CMB lensing and tSZ and CIB even though biases are larger (up to ~30%). We find that masking tSZ-selected galaxy clusters leads to the largest mask biases, potentially detectable with high significance. We find that the calibration of cluster masses using CMB lensing, in particular for objects at $z\lesssim 0.6$, might be significantly affected by mask biases for near-future observations if the lensing signal recovered inside the mask holes is used without further corrections. Conversely, mass calibration of high redshift objects will still deliver unbiased results.
description: 30 pages, 22 figures
Helicity-dependent generalized parton distributions and composite constituent quarks
Creators: name: Scopetta, Sergio
name: Vento, Vicente
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: An approach, recently proposed to calculate the nucleon generalized parton distributions (GPDs) in a constituent quark model (CQM) scenario, in which the constituent quarks are taken as complex systems, is used to obtain helicity-dependent GPDs. They are obtained from the wave functions of the non relativistic CQM of Isgur and Karl, convoluted with the helicity-dependent GPDs of the constituent quarks themselves. The latter are modelled by using the polarized structure functions of the constituent quark, the double distribution representation of GPDs, and a phenomenological constituent quark form factor. The present approach permits to access a kinematical range corresponding to both the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi and the Efremov-Radyushkin-Brodsky-Lepage regions, for small values of the momentum transfer and of the skewedness parameter. In this kinematical region, the present calculation represents a prerequisite for the evaluation of cross sections relevant to deeply virtual Compton scattering. In particular, we have calculated the leading twist helicity-dependent GPD \tilde H and, from our expressions, its general relations with the non relativistic definition of the axial form factor and with the leading twist polarized quark density are consistently recovered.
description: 49 pages, discussion enlarged, a figure added, references added, results unchanged. Final version to appear in Phys. Rev. D
Living well with chronic illness : aligning tensions, attitudes, strategies, and meanings
Creators: name: Mills, Susan Lynn
Publisher: name: University of British Columbia
Year: 2010

description: Chronic illnesses have an enormous impact on individuals and society and consume considerable resources. Increasingly, studies have shown that some people have a good life with these long-term conditions despite the economic hardship, pain, suffering, and disability they create. This raises questions about what characterizes these experiences and how they develop in the context of these challenges. In this interpretive study, these issues were explored using the interview data of 27 women and 4 men who self-identified as living well and were diagnosed with multiple sclerosis, scleroderma, or lupus. The findings revealed that the participants had diverse and challenging lives and experienced disease-related tensions and losses in daily life. In this context, living well represented meaningful experiences that evolved over time in relation to the tensions and losses they experienced and their understandings of what was valuable. Meaningful experiences were obtained through attitudinal and behavioural strategies as well as cognitive shifts in understanding that aligned their tension-centred realities with what was important in life. Within this process, the women and men made decisions and choices about how to live in relation to their goals and values rather than in relation to just managing, coping, or adapting to the illness. The meaningful experiences associated with living well varied over the course of living with illness and positive emotions about life and illness were associated with having these experiences. By interpreting the data in relation to the interrelated conceptualizations of tensions, meanings, and alignment, some patterns and themes were illuminated that help to extend current knowledge of the nature and dynamic processes involved in living a good life with illness. Also, the angle of vision taken in interpreting their experiences created a framework within which we can better understand some of the complexities inherent in this kind of illness experience and make sense of some of the competing ideas and contradictions that are found within existing bodies of knowledge. The overall value of the research comes from looking at the phenomenon of chronic illness from a perspective of truly living well rather than one of coping or managing disease.
Optimising for Interpretability: Convolutional Dynamic Alignment Networks
Creators: name: Böhle, Moritz
name: Fritz, Mario
name: Schiele, Bernt
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We introduce a new family of neural network models called Convolutional Dynamic Alignment Networks (CoDA Nets), which are performant classifiers with a high degree of inherent interpretability. Their core building blocks are Dynamic Alignment Units (DAUs), which are optimised to transform their inputs with dynamically computed weight vectors that align with task-relevant patterns. As a result, CoDA Nets model the classification prediction through a series of input-dependent linear transformations, allowing for linear decomposition of the output into individual input contributions. Given the alignment of the DAUs, the resulting contribution maps align with discriminative input patterns. These model-inherent decompositions are of high visual quality and outperform existing attribution methods under quantitative metrics. Further, CoDA Nets constitute performant classifiers, achieving on par results to ResNet and VGG models on e.g. CIFAR-10 and TinyImagenet. Lastly, CoDA Nets can be combined with conventional neural network models to yield powerful classifiers that more easily scale to complex datasets such as Imagenet whilst exhibiting an increased interpretable depth, i.e., the output can be explained well in terms of contributions from intermediate layers within the network.
description: Extension of "Convolutional Dynamic Alignment Networks for Interpretable Classifications" (B\"ohle et al., CVPR 2021). arXiv admin note: substantial text overlap with arXiv:2104.00032
Produccion-comercio-consumo y reexportacion de tomate en la Union Europea
Creators: name: Perez Mesa, Juan Carlos
name: De Pablo Valenciano, Jaime
name: Perez Mesa, Juan Carlos
name: De Pablo Valenciano, Jaime
Publisher: name: Unknown
Year: 2007
Subjects: subject: International Relations/Trade
subject: exportaciones
subject: importaciones
subject: encadenamiento
subject: absorcion
subject: difusion
subject: exports
subject: imports
subject: chaining
subject: effect absorption
subject: diffusion

description: En este articulo se propone un analisis comercial inspirado en la metodologia input-output, que permite estudiear el balance de comercio-demanda de tomate en la Union europea. Asi mismo se contruye un coeficiente de reexportacion para analizer el comercio de reventa. La aplicacion de esta metodologia al problema de interpretacion de la interaccion entre estas variables proporciona una mera clara de cuantificacion y clasificacion de paises en funcion de sus caracteristicas predominantes. En este sentido, el eje que mantiene el actual equilibrio se basa en el sostenimiento de la produccion espanola y holandesa, el sistema redistribuidor holandes y el aumento del consumo aleman...In this paper a methodology, similar to traditional input-output analysis, is constructed in order to study the trade-demand to balance of tomato in the European Union; also a coefficient of re-export is constructed to analyse the resale trade. The application of this methodology to the problem of interpretation of the interaction between these variables provides a clear way of quantification and classification of countries according their predominant characteristics. In this respect, the axis that supports the current balance is based on the support of the Spanish and Dutch production, the redistribution Dutch system and the increase of German consumption.
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Creators: name: Lambeta, Mike
name: Chou, Po-Wei
name: Tian, Stephen
name: Yang, Brian
name: Maloon, Benjamin
name: Most, Victoria Rose
name: Stroud, Dave
name: Santos, Raymond
name: Byagowi, Ahmad
name: Kammerer, Gregg
name: Jayaraman, Dinesh
name: Calandra, Roberto
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Despite decades of research, general purpose in-hand manipulation remains one of the unsolved challenges of robotics. One of the contributing factors that limit current robotic manipulation systems is the difficulty of precisely sensing contact forces -- sensing and reasoning about contact forces are crucial to accurately control interactions with the environment. As a step towards enabling better robotic manipulation, we introduce DIGIT, an inexpensive, compact, and high-resolution tactile sensor geared towards in-hand manipulation. DIGIT improves upon past vision-based tactile sensors by miniaturizing the form factor to be mountable on multi-fingered hands, and by providing several design improvements that result in an easier, more repeatable manufacturing process, and enhanced reliability. We demonstrate the capabilities of the DIGIT sensor by training deep neural network model-based controllers to manipulate glass marbles in-hand with a multi-finger robotic hand. To provide the robotic community access to reliable and low-cost tactile sensors, we open-source the DIGIT design at https://digit.ml/.
description: 8 pages, published in the IEEE Robotics and Automation Letters (RA-L)
Search for New Physics at a Super-B Factory
Creators: name: Browder, Thomas E.
name: Soni, Amarjit
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The importance of a Super-B Factory in the search for New Physics, in particular, due to CP-od phase(s) from physics beyond the Standard Model is surveyed. The first point to emphasize is that we know now how to directly measure all three angles of the unitarity triangle very cleanly, {\it i.e. without theoretical assumptions} with {\it irreducible theory error $ \lsim 1%$}; however this requires much more luminosity than is currently available at B-factories. Direct searches via penguin-dominated hadronic modes as well as radiative, pair-leptonic and semi-leptonic decays are also discussed. {\bf Null tests of the SM} are stressed as these will play a crucial role especially if the effects of BSM phase(s) on B-physics are small.
description: Invited plenary talk at the Workshop on High Energy Physics Phenomenology (WHEPP8), Indian Inst. of Technology, Mumbai, India Jan. 5-16,2004. Corrected typos; minor changes and added references
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning
Creators: name: Zhao, Benjamin Zi Hao
name: Kaafar, Mohamed Ali
name: Kourtellis, Nicolas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Data holders are increasingly seeking to protect their user's privacy, whilst still maximizing their ability to produce machine models with high quality predictions. In this work, we empirically evaluate various implementations of differential privacy (DP), and measure their ability to fend off real-world privacy attacks, in addition to measuring their core goal of providing accurate classifications. We establish an evaluation framework to ensure each of these implementations are fairly evaluated. Our selection of DP implementations add DP noise at different positions within the framework, either at the point of data collection/release, during updates while training of the model, or after training by perturbing learned model parameters. We evaluate each implementation across a range of privacy budgets, and datasets, each implementation providing the same mathematical privacy guarantees. By measuring the models' resistance to real world attacks of membership and attribute inference, and their classification accuracy. we determine which implementations provide the most desirable tradeoff between privacy and utility. We found that the number of classes of a given dataset is unlikely to influence where the privacy and utility tradeoff occurs. Additionally, in the scenario that high privacy constraints are required, perturbing input training data does not trade off as much utility, as compared to noise added later in the ML process.
description: 12 pages, Accepted at CCSW'20, an ACM CCS Workshop
Optical spin transport theory of spin-1/2 topological Fermi superfluids
Creators: name: Tajima, Hiroyuki
name: Sekino, Yuta
name: Uchino, Shun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We theoretically investigate optical (frequency-dependent) bulk spin transport properties in a spin-1/2 topological Fermi superfluid. We specifically consider a one-dimensional system with an interspin {\it p}-wave interaction, which can be realized in ultracold atom experiments. Developing the BCS-Leggett theory to describe the Bardeen-Cooper-Schrieffer (BCS) to Bose-Einstein condensate (BEC) evolution and the $\mathbb{Z}_2$ topological phase transition in this system, we show how the spin transport reflects these many-body aspects. We find that the optical spin conductivity, which is a small AC response of a spin current, shows the spin gapped spectrum in the wide parameter region and the gap closes at $\mathbb{Z}_2$ topological phase transition point. Moreover, the validity of the low-energy effective model of the Majorana zero mode is discussed along the BCS-BEC evolution in connection with the scale invariance at {\it p}-wave unitarity.
description: 10 pages, 5 figures, accepted version for publication in Phys. Rev. B
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Creators: name: Carrillo, Richard R
name: Naveros, Francisco
name: Ros, Eduardo
name: Luque, Niceto R
Publisher: name: arXiv
Year: 2020
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with attention being paid to the cerebellar granular layer. The focus of this study is to evaluate the input activity representation of these feed-forward neural networks. The activity of cerebellar granule cells is conveyed by parallel fibers and translated into Purkinje cell activity; the sole output of the cerebellar cortex. The learning process at this parallel-fiber-to-Purkinje-cell connection makes each Purkinje cell sensitive to a set of specific cerebellar states, determined by the granule-cell activity during a certain time window. A Purkinje cell becomes sensitive to each neural input state and, consequently, the network operates as a function able to generate a desired output for each provided input by means of supervised learning. However, not all sets of Purkinje cell responses can be assigned to any set of input states due to the network's own limitations (inherent to the network neurobiological substrate), that is, not all input-output mapping can be learned. A limiting factor is the representation of the input states through granule-cell activity. The quality of this representation will determine the capacity of the network to learn a varied set of outputs. In this study we present an algorithm for evaluating quantitatively the level of compatibility/interference amongst a set of given cerebellar states according to their representation (granule-cell activation patterns) without the need for actually conducting simulations and network training. The algorithm input consists of a real-number matrix that codifies the activity level of every considered granule-cell in each state. The capability of this representation to generate a varied set of outputs is evaluated geometrically, thus resulting in a real number that assesses the goodness of the representation
Forestaciones con encina y alcornoque en el area de la dehesa en el marco del Reglamento (CEE) 2080/92 (1993-2000)
Creators: name: Ovando, Paola
name: Campos, Pablo
name: Montero, Gregorio
name: Ovando, Paola
name: Campos, Pablo
name: Montero, Gregorio
Publisher: name: Unknown
Year: 2007
Subjects: subject: Environmental Economics and Policy
subject: Land Economics/Use
subject: encina
subject: alcornoque
subject: forestacion de tierras agricolas
subject: Reglamento 2080/1992
subject: dehesa
subject: holm oak
subject: cork oak
subject: forestation of agriculture lands
subject: Regulation 2080/92

description: La Union Europea adopta en el ano 1992 una serie de medidas de acompanamiento a la reforma de la politica agraria comun. la politica de abandono de tierras agricolas dedicadas a cultivos excedentarios fue incentivada mediante ayudas a su forestacion, reguladas por el REglamento 2080/1992. Esta intervencion publica ha tenido en el area de la dehesa espanola una influencia favorable a la expansion de sus dos especies forestales mas emblematicas: la encina y el alcornoque. La superficie forestada con encina y alcornoque entre 1993 y 2000 supera las 281.000 hectareeas en las comunidades autonomas de Andalucia, Castilla-La Mancha, Castilla y leon, Extremadura y Madrid, que concentran alrededor del 95 por ciento de la superficie forestada con ambas especies en Espana. Este estudio tiene como objectivo ofrecer un analisis descriptivo de los efectos de las forestaciones con encina y alcornoque en los cambios de usos del suelo, asi como la influencia que ha tenido la distribusion del gasto publico en las Comunidades Autonomas del area de la dehesa, en aplicacion del Reglamento (CE) 2080/1992...The European Union adopted in 1992, a set of measures flanking the reform of the Common Agricultural Policy. The agriculture set-aside policy, ruled by Regulation 2080/92, was implemented by incentives for foresting croplands to off-set oversupply crops. This governmental intervention has notable favoured the expansion of two emblematic Mediterranean forest species at the Spanish dehesa area: holm oak and cork oak. Holm and cork oak planted areas between 1993 and 2000 total more than 281,000 hectares. From these new plantations, 95 percent are located in the Spanish Autonomies of Andalusia, Castilla-La Mancha, Castilla y Leon, Extremadura and Madrid. This study aims to make a descriptive analysis of the holm and the cork oak forestation effects on dehesa land use change. Additionally, this study examines the regional allocation of Regulation 2080/92 funds in the dehesa area.
Estrategias de diferenciacion versus estrategias de tamano. El caso de la DOCA Rioja.
Creators: name: Barco, Emilio
name: Navarro, M. Cruz
name: Pinillos, Mariola
name: Barco, Emilio
name: Navarro, M. Cruz
name: Pinillos, Mariola
Publisher: name: Unknown
Year: 2007
Subjects: subject: International Development
subject: International Relations/Trade
subject: Vino
subject: tamano
subject: internacionalizacion
subject: denominacion de origen y Rioja
subject: wine
subject: size
subject: internationalizationm
subject: Appelation of Origin
subject: Rioja

description: Desde la decada de los anos oventa, se ha articulando un discurso en el sector vitivinivola que acepta la existencia de dos modelos de produccion y de dos estrategias comerciales, que se identifican con dos grupos: el de los Paises Tradicionalmente PRoductores (PTP) localizados en Europa, y el de los Nuevos Paises Productores (NPP) situados en America (EE.UU., Argentina y Chile), Africa (Africa del Sur) y Oceania (Australia y Nueva Zelanda). Este trabajo tiene un triple objectivo: subrayar las caracteristicas del mercado mundial y su evolucion; verificar la existencia de ambos grupos de paises, y cuestionar algunas de las hipotesis que se vienen aceptando en los debates abiertos en el sector. Se trate de confirmar o poner en tela de juicio: la supuesta homogeneidad de los dos grupos definidos; la existencia de modelos generales con validez universal; y la aplicacion de una unica estrategia de exito que se asocia a un mayor tamano empresarial y un elevado grado de internacionaizacion (T+I). El caso de la Denominacion de Origen Calificada Rioja aporta referencias validas para esta discusion...Since the 1990's in the wine sector has been accepted the existence of two groups: The Traditional Producing Countries, located in Europe, and the New Producing Countries located in America (United States, Argentina and Chile), Africa (South Africa) and Oceania (Australia and New Zealand). This project has a triple objective: to emphasize the characteristics of the world market and its evolution; to verify the existence of both groups of countries and to question some of the hypothesis who are accepted in the sector. The objective is to confirm the supposed homogeneity of the two groups; the existence of general models with universal validity; and the application of a unique success strategy, which is associated with a big enterprise size and a high degree of internationalization. The case of the DOCa Rioja contributes with some references been worth for the discussion.
Jets via Hasse-Schmidt Derivations
Creators: name: Vojta, Paul
Publisher: name: arXiv
Year: 2004
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14A15

description: This note is intended to provide a general reference for jet spaces and jet differentials, valid in maximal generality (at the level of EGA). The approach is rather concrete, using Hasse-Schmidt (divided) higher differentials. Discussion of projectivized jet spaces (as in Green and Griffiths (1980)) is included.
description: 25 pages; amstex. v2: Fixed a problem with Theorem 4.5 (O_Z[[t]] is not quasi-coherent); updated the bibliography. v3: Fixed a mistake in Example 4.13
A general framework for formulating structured variable selection
Creators: name: Wang, Guanbo
name: Schnitzer, Mireille E.
name: Chen, Tom
name: Wang, Rui
name: Platt, Robert W.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: In variable selection, a selection rule that prescribes the permissible sets of selected variables (called a "selection dictionary") is desirable due to the inherent structural constraints among the candidate variables. Such selection rules can be complex in real-world data analyses, and failing to incorporate such restrictions could not only compromise the interpretability of the model but also lead to decreased prediction accuracy. However, no general framework has been proposed to formalize selection rules and their applications, which poses a significant challenge for practitioners seeking to integrate these rules into their analyses. In this work, we establish a framework for structured variable selection that can incorporate universal structural constraints. We develop a mathematical language for constructing arbitrary selection rules, where the selection dictionary is formally defined. We demonstrate that all selection rules can be expressed as combinations of operations on constructs, facilitating the identification of the corresponding selection dictionary. Once this selection dictionary is derived, practitioners can apply their own user-defined criteria to select the optimal model. Additionally, our framework enhances existing penalized regression methods for variable selection by providing guidance on how to appropriately group variables to achieve the desired selection rule. Furthermore, our innovative framework opens the door to establishing new l0 norm-based penalized regression techniques that can be tailored to respect arbitrary selection rules, thereby expanding the possibilities for more robust and tailored model development.
description: 14 pages
IBP reduction coefficients made simple
Creators: name: Boehm, Janko
name: Wittmann, Marcel
name: Wu, Zihao
name: Xu, Yingxuan
name: Zhang, Yang
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Algebraic Geometry (math.AG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We present an efficient method to shorten the analytic integration-by-parts (IBP) reduction coefficients of multi-loop Feynman integrals. For our approach, we develop an improved version of Leinartas' multivariate partial fraction algorithm, and provide a modern implementation based on the computer algebra system Singular. Furthermore, We observe that for an integral basis with uniform transcendental (UT) weights, the denominators of IBP reduction coefficients with respect to the UT basis are either symbol letters or polynomials purely in the spacetime dimension $D$. With a UT basis, the partial fraction algorithm is more efficient both with respect to its performance and the size reduction. We show that in complicated examples with existence of a UT basis, the IBP reduction coefficients size can be reduced by a factor of as large as $\sim 100$. We observe that our algorithm also works well for settings without a UT basis.
description: minor changes, typos corrected