3,965 research outputs found
Variants of the Palmer Drought Severity Index for Portugal using fine resolution gridded datasets
Monthly time series of the Self-Calibrating Palmer Drought Severity Index (SC-PDSI) and SC-MedPDSI, a modified PDSI for the Mediterranean environment, are computed for Portugal using high-resolution gridded datasets of monthly precipitation totals retrieved from the PT02 daily gridded dataset, and monthly averages of maximum and minimum temperature purposefully developed. The datasets have 0.2 ̊ × 0.2 ̊ spatial resolution and cover the period 1950–2003. The effects of the weighing and self-calibrating (SC) methods are studied by comparing the SC-PDSI and SC-MedPDSI with the corresponding indices computed using the original calibration for Portugal. Particular attention is given to the frequency of wet and dry events. The two indices are compared with the SPI on 9-month time scale (SPI-9) computed using the PT02 dataset. Results show that extreme events are less frequent when using the SC indices, and that there is a significant agreement between the SPI-9 and the SC-PDSI or the SC-MedPDSI. Moreover, the space and time variability of the indices are analysed using the Principal Component Analysis (PCA). The spatial patterns identify two sub-regions consistently with previous studies. The Modified Mann-Kendal test is applied to the PC score time serie
Rosa Luxemburg and the Workers’ Councils and Soldiers in Revolutionary Germany
Este trabalho busca compreender a interpretação de Rosa Luxemburg acerca dos conselhos de operários. Esta visão, profundamente marcada pelos acontecimentos da Revolução Alemã (1918-1923), têm nos conselhos a encarnação das idéias de Rosa acerca do socialismo. Para ela, socialismo e democracia não se separam. Além disso, a revolução, e a sociedade socialista deveriam ser projetos conduzidos pelas massas populares. Assim, Rosa vê nos conselhos, uma solução real e possível para a construção do socialismo. Porém, é preciso ressaltar que suas idéias estavam mergulhadas nos acontecimentos, permitindo apenas que Rosa apontasse os conselhos como alternativa viável. Uma reflexão mais elaborada não foi possível à Luxemburg, principalmente devido seu assassinato precoce, em janeiro de 1919This paper aims to elucidate Rosa Luxemburg´s views on workers’ councils. This vision, deeply influenced by the events of the German Revolution (1918-1923), manifests itself in the councils, which are the incarnation of Rosa’s ideas about socialism. For her, socialism and democracy cannot be separated. Also, revolution and the socialist society need to be projects led by the popular masses. Thus, Rosa views the councils as a real and possible solution for the construction of socialism. However, it must be noted that her ideas were immersed in contemporary events, allowing her only to suggest the councils as a viable alternative. A more elaborate reflection was not possible for Luxemburg, mainly on account of her murder at an early age, in January 191
Efficient optimization of ultra-high- performance supercritical fluid chromatographic separation of Rosa sericea by response surface methodology
An approach for rapid optimization of ultra-high-performance supercritical fluid chromatographic (UHPSFC) gradient by response surface methodology was developed for fast separation of complex crude extracts of the leaves of Rosa sericea. The optimization was performed with Box-Behnken designs and the multicriteria response variables were described using Derringer's desirability. Based on factorial design experiments, five factors were selected for Box-Behnken designs to optimize the UHPSFC conditions, which led to 46 experiments being performed within 8 h. An evaporative light-scattering detector (ELSD) was used, and quantitative analysis of main components in R. sericea samples was employed to evaluate the statistical significance of the parameters on UHPSFC-ELSD analytes response. The results indicated that the optimized UHPSFC-ELSD method is very sensitive with LODs and LOQs below 1.19 and 4.55 g/mL, respectively. The overall intra- and interday variations were less than 3.91 and 6.41%, respectively. The recovery of the method ranged from 95.66 to 104.22%, with RSD < 5.91%. This newly developed UHPSFC-ELSD method was demonstrated to be fast and sensitive in analyzing complex herbal extracts of Traditional Chinese Medicines
Author Attributions in Medieval Text Collections: An Exploration
This article examines the role and function of author attributions in multi-text manuscripts containing Dutch, English, French or German short verse narratives. The findings represent one strand of the investigations undertaken by the cross-European project ‘The Dynamics of the Medieval Manuscript’, which analysed the dissemination of short verse narratives and the principles of organisation underlying the compilation of text collections. Whilst short verse narratives are more commonly disseminated anonymously, there are manuscripts in which authorship is repeatedly attributed to a text or corpus. Through six case studies, this article explores medieval concepts of authorship and how they relate to constructions of authority, whether regarding an empirical figure or a literary construction. In addition, it looks at how authorship plays a role in manuscript compilation, and at the effects of attributions (by author and/or compiler) on reception. The case studies include manuscripts from the thirteenth to fifteenth centuries, produced in a range of social and cultural contexts, and featuring some of the most important European authors of short verse narratives: Rutebeuf, Baudouin de Condé, Der Striker, Konrad von Würzberg, Willem of Hildegaersberch, and Geoffrey Chaucer. The preliminary findings contribute to our understanding of author attributions in text collections from across northern Europe and point towards future lines of enquiry into the role of authorship in medieval textual dissemination
Batch Bayesian Learning of Large-Scale LS-SVMs Based on Low-rank Tensor Networks
Least Squares Support Vector Machines (LS-SVMs) are state-of-the-art learning algorithms that have been widely used for pattern recognition. The solution for an LS-SVM is found by solving a system of linear equations, which involves the computational complexity of O(N^3). When datasets get larger, solving LS-SVM problems with standard methods becomes burdensome or even unfeasible. The Tensor Train (TT) decomposition provides an approach to representing data in highly compressed formats without loss of accuracy. By converting vectors and matrices in the TT format, the storage and computational requirements can be greatly reduced. In this thesis, we develop a Bayesian learning method in the TT format to solve large-scale LS-SVM problems, which involves the computation of a matrix inverse. This method allows us to include the information we know about the model parameters in the prior distribution. As a result, we are able to obtain a probability distribution of the parameters, which enables us to construct confidence levels of the predictions. In the numerical experiment, we show that the developed method performs competitively with the current methods.Mechanical Engineering | Systems and Contro
Additive Manufacturing: Polymers Applicable for Laser Sintering (LS)
AbstractAdditive Manufacturing (AM) is close to become a production technique changing the way of part fabrication in future. Enhanced complexity and personalized features are aimed. The expectations in AM for the future are enormous and betimes it is considered as kind of the next industrial revolution. Laser Sintering (LS) of polymer powders is one component of the AM production techniques. However materials successfully applicable to Laser Sintering (LS) are very limited today. The presentation picks up this topic and gives a short introduction on the material available today. Important factors of polymer powders, their significance for effective LS processing and analytical approaches to access those values are presented in the main part. Concurrently the exceptional position of polyamide 12 powders is this connection is outlined
The Social Cost-of-Living: Welfare Foundations and Estimation
We present a new class of social cost-of-living indices and a nonparametric framework for estimating these and other social cost-of- living indices. Common social cost-of-living indices can be understood as aggregator functions of approximations of individual cost-of-living indices. The Consumer Price Index (CPI) is the expenditure-weighted average of first-order approximations of each individual’s cost-of-living index. This is troubling for three reasons. First, it has not been shown to have a welfare economic foundation for the case where agents are heterogeneous (as they clearly are.) Second, it uses an expenditure-weighted average which downweights the experience of poor households relative to rich households. Finally, it uses only first-order approximations of each individual’s cost-of-living index, and thus ignores substitution effects. We propose a “common-scaling” social cost-of-living index, which is defined as the single scaling to everyone’s expenditure which holds social welfare constant across a price change. Our approach has an explicit social welfare foundation and allows us to choose the weights on the costs of rich and poor households. We also give a unique solution for the welfare function for the case where the weights are independent of household expenditure. A first order approximation of our social cost-of- living index nests as special cases commonly used indices such as the CPI. We also provide a nonparametric method for estimating second- order approximations (which account for substitution effects).Inflation, Social cost-of-living, Demand, Average Derivatives
The virtual image : Brazilian literature in English translation
The
aim of this thesis is to
examine
how the virtual
image
of Brazil
and
its literature is
constructed
in the Anglo-American world. To this
end, a survey of
Brazilian literary
works
in English translation was
carried out.
Having
gathered this data, it became
possible to establish
correlations
between the historical
moments when such translations
were made, when their number
increased,
and the events occurring at
those times in the international
panorama, as well as to look into the
role of sponsors, publishers and translators in the
selection and
production of such translations.
The data
also allowed a profile of
Brazilian literary
works
in
English translation to be drawn. It became
possible to suggest that
such works
fall into four
main categories:
`authorial
works',
'topical
works',
`ambassadorial
works'
and `consumer-oriented
works'.
In
order
to look
more closely
into how the translation process
has helped to
shape
the
virtual
image
of Brazilian literary
works
in
the Anglo-American world, an analysis of a sample of
translations
of
such works was made. Included in this
sample were
the translations
of works
by Machado de Asis, by Indianist
and
Regionalist
wirters,
culminating
in
an examination of translations of
GuimarAes Rosa's
works.
Having looked
at these aspects of
the translation
process, what
remained
to be done
was to investigate
to what extent
Brazilian
literary
works
in English translation
are read
by the English-
speaking public.
To this
end, a survey of availability and
library
readership was undertaken. Finally,
a reading experiment was carried
out
in
which native speakers of
English
were asked to read the short
story
'A terceira
margem
do
rio',
by GuimarAes Rosa.
The
conclusion attempts to pull all these threads together and
to indicate directions for further
research
The Social Cost-of-Living: Welfare Foundations and Estimation
We present a new class of social cost-of-living indices and a nonparametric framework for estimating these and other social cost-of-living indices. Common social cost-of-living indices can be understood as aggregator functions of approximations of individual cost-of-living indices. The Consumer Price Index (CPI) is the expenditure-weighted average of first-order approximations of each individual’s cost-of-living index. This is troubling for three reasons. First, it has not been shown to have a welfare economic foundation for the case where agents are heterogeneous (as they clearly are.) Second, it uses an expenditure-weighted average which downweights the experience of poor households relative to rich households. Finally, it uses only first-order approximations of each individual’s cost-of-living index, and thus ignores substitution effects. We propose a “common-scaling” social cost-of-living index, which is defined as the single scaling to everyone’s expenditure which holds social welfare constant across a price change. Our approach has an explicit social welfare foundation and allows us to choose the weights on the costs of rich and poor households. We also give a unique solution for the welfare function for the case where the weights are independent of household expenditure. A first order approximation of our social cost-of-living index nests as special cases commonly used indices such as the CPI. We also provide a nonparametric method for estimating second-order approximations (which account for substitution effects).Inflation, Social cost-of-living, Demand, Average derivatives
Tell us our story: Understanding 'religion and violence' in multiple contexts of learning
This article raises the question about how definitions of religion and violence can be understood as links to the context in which they are formulated. The focus is on the context of academic learning. Understanding a definition as a micro-narrative that reflects the cultural 'archive', the author uses two academic contexts (i.e. Utrecht, The Netherlands and Jakarta, Indonesia) to show how religion and violence are differently understood. These differences are taken as significant information for understanding how the topic of 'religion and violence' is related to cultural understandings of the place of religion in society. The question is raised how 'narrative learning' can help as a strategy to raise awareness about the preconditioning of (academic) definitions of 'religion and violence'
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