The article analyses the editorial policy of El Español Constitucional on the revolution in America in the light of the agenda of General José de San Martín on the eve of his entry into Lima and the declaration of Peruvian independence in 1821. The aim is to relate the agenda set by the newspaper edited in London by Fernández Sardino between 1818 and 1820 with the political reading of the Liberator of the South’s circle in the international context and the liberal turn operated in the metropolis that influenced the negotiations held in Miraflores and Punchauca in 1820 and 1821, from which the conviction of reconciling independence with constitutional monarchy emerged as the preferred institutional artifact to tame the revolution, create the foundations of free government, reinvent the old imperial unity through confederative ties and regulate the freedom of trade understood as the key to the civilizing program.
A combination of searches for singly and doubly charged Higgs bosons, H± and H±±, produced via vector-boson fusion is performed using 140 fb−1 of proton–proton collisions at a centre-of-mass energy of 13 TeV, collected with the ATLAS detector during Run 2 of the Large Hadron Collider. Searches targeting decays to massive vector bosons in leptonic final states (electrons or muons) are considered. New constraints are reported on the production cross-section times branching fraction for charged Higgs boson masses between 200 GeV and 3000 GeV. The results are interpreted in the context of the Georgi-Machacek model for which the most stringent constraints to date are set for the masses considered in the combination.
E. Chamizo, M. C. Jiménez-Ramos, S. M. Enamorado
et al.
The measurement of plutonium isotopes, 239Pu and 240Pu, at 670 kV on the compact accelerator mass spectrometry (AMS) system at the Centro Nacional de Aceleradores (CNA) in Seville, Spain, is now a reality. In this work, we present first Pu AMS results for environmental samples: a sediment core collected in a submarine canyon in the Mediterranean coast of the Spanish region of Palomares, affected by a nuclear accident in 1966. From the study of the 240Pu/239Pu atomic ratio profile, showing on average levels lower than 11%, we confirm that the weapon-grade plutonium released on land during the accident, with a characteristic 240Pu/239Pu atomic ratio of 5.8%, has found its way into the marine environment. A two-plutonium sources mixture model (Palomares and fallout) is used to elucidate the percentage of the plutonium coming from the accident. As a validation exercise of the Pu AMS measuring technique and in order to obtain the 238Pu/(239+240)Pu activity ratios, samples were also studied by alpha-spectrometry (AS). The obtained AS 239+240Pu activity concentration results fit in with the AMS ones in a wide dynamic range, thus validating the AMS technique.
The introduction of the cultivation of millets (<i>Panicum miliaceum</i> and <i>Setaria italica</i>) along Iberia’s Mediterranean zone appears to stem from different origins which themselves hinged on their own specific historical developments. The earliest traces in the northeast, presumably of trans-Pyrenean origin, were brought to light in Bronze Age contexts (13th century BC) in Western Catalonia, notably in the Cinca River Valley. The different species of millets from southern and eastern Iberia, by contrast, come from later 10th–8th century BC contexts under Phoenician influence. Their expansion can be linked to the cultivation of fruit trees (vineyards and others) throughout the 9th–7th centuries BC. The cultivation of millets into the intermediate geographical zone between these two areas is difficult to characterise as it is not possible to identify either a northern or southern in-fluence. In any case, different types of millet saw a wide expansion from the 7th century BC onwards, especially in settlements in the hinterland of the colony of Emporion. This study thus focuses on the history of the cultivation of millets along Iberia’s Mediterranean zone from the Late Bronze Age to the Second Iron Age.
Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to low-resource document collections, as learning a language-vision model requires extensive labeled sequences and compute. This study models OCR as a character level image retrieval problem, using a contrastively trained vision encoder. Because the model only learns characters' visual features, it is more sample efficient and extensible than existing architectures, enabling accurate OCR in settings where existing solutions fail. Crucially, the model opens new avenues for community engagement in making digital history more representative of documentary history.
We argue that observations of the reionization history can be used as a probe of primordial density fluctuations, particularly on small scales. Although the primordial curvature perturbations are well constrained from measurements of cosmic microwave background (CMB) anisotropies and large-scale structure, these observational data probe the curvature perturbations only on large scales, and hence its information on smaller scales will give us further insight on primordial fluctuations. Since the formation of early galaxies is sensitive to the amplitude of small-scale perturbations, and then, in turn, gives an impact on the reionization history, one can probe the primordial power spectrum on small scales through observations of reionization. In this work, we focus on the running spectral indices of the primordial power spectrum to characterize the small-scale perturbations, and investigate their impact on the reionization history using the numerical code \texttt{21cmFAST}, which adopts a simple but commonly used reionization model. We also derive the constraints on the running spectral indices from observations of the reionization history indicated by the luminosity function of the Lyman-$α$ emitters. We show that the reionization history, in combination with large-scale observations such as CMB, would be a useful tool to investigate primordial density fluctuations.
Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio
et al.
Old people residing in nursing homes have been a vulnerable group to the coronavirus disease 2019 (COVID-19) pandemic, with high rates of infection and death. Our objective was to describe the profile of institutionalized patients with a confirmed COVID-19 infection and the socioeconomic and morbidity factors associated with hospitalization and death. We conducted a retrospective cohort study including data from subjects aged 65 years or older residing in a nursing home with a confirmed COVID-19 infection from March 2020 to March 2021 (4,632 individuals) in Aragón (Spain). We analyzed their sociodemographic and clinical profiles and factors related to hospitalization and mortality at 7, 30, and 90 days of COVID-19 diagnosis using logistic regression analyses. We found that the risk of hospitalization and mortality varied according to sociodemographic and morbidity profile. There were inequalities in hospitalization by socioeconomic status and gender. Patients with low contributory pensions and women had a lower risk of hospitalization. Diabetes mellitus, heart failure, and chronic kidney disease were associated with a higher risk of hospitalization. On the contrary, people with dementia showed the highest risk of mortality with no hospitalization. Patient-specific factors must be considered to develop equitable and effective measures in nursing homes to be prepared for future health threats.
Personalized dialogue systems explore the problem of generating responses that are consistent with the user's personality, which has raised much attention in recent years. Existing personalized dialogue systems have tried to extract user profiles from dialogue history to guide personalized response generation. Since the dialogue history is usually long and noisy, most existing methods truncate the dialogue history to model the user's personality. Such methods can generate some personalized responses, but a large part of dialogue history is wasted, leading to sub-optimal performance of personalized response generation. In this work, we propose to refine the user dialogue history on a large scale, based on which we can handle more dialogue history and obtain more abundant and accurate persona information. Specifically, we design an MSP model which consists of three personal information refiners and a personalized response generator. With these multi-level refiners, we can sparsely extract the most valuable information (tokens) from the dialogue history and leverage other similar users' data to enhance personalization. Experimental results on two real-world datasets demonstrate the superiority of our model in generating more informative and personalized responses.
Conversational question generation (CQG) serves as a vital task for machines to assist humans, such as interactive reading comprehension, through conversations. Compared to traditional single-turn question generation (SQG), CQG is more challenging in the sense that the generated question is required not only to be meaningful, but also to align with the occurred conversation history. While previous studies mainly focus on how to model the flow and alignment of the conversation, there has been no thorough study to date on which parts of the context and history are necessary for the model. We argue that shortening the context and history is crucial as it can help the model to optimise more on the conversational alignment property. To this end, we propose CoHS-CQG, a two-stage CQG framework, which adopts a CoHS module to shorten the context and history of the input. In particular, CoHS selects contiguous sentences and history turns according to their relevance scores by a top-p strategy. Our model achieves state-of-the-art performances on CoQA in both the answer-aware and answer-unaware settings.
Significance From Imperial Rome to North Korea, religious persecution entwined with various degrees of totalitarian control has caused conflict and bloodshed for millennia. In this paper, we ask the following: Can religious persecution have repercussions long after it has ceased? Using data on the Spanish Inquisition, we show that in municipalities where the Spanish Inquisition persecuted more citizens, incomes are lower, trust is lower, and education is markedly lower than in other comparable towns and cities. Nobody expects the Spanish Inquisition to still matter today, but it does. Religious persecution is common in many countries around the globe. There is little evidence on its long-term effects. We collect data from all across Spain, using information from more than 67,000 trials held by the Spanish Inquisition between 1480 and 1820. This comprehensive database allows us to demonstrate that municipalities of Spain with a history of a stronger inquisitorial presence show lower economic performance, educational attainment, and trust today. The effects persist after controlling for historical indicators of religiosity and wealth, ruling out potential selection bias.
A 35-year-old woman with no significant previous medical history presented at the Emergency Department of Fundación Jiménez Díaz Hospital (Madrid, Spain) on April 14th with acral purpuric lesions of three weeks duration. These had started as oedematous, erythematous areas and had appeared coincidentally with fever and coughing, which lasted only two days. There was no history of diarrhoea, ageusia, hyposmia or dyspnea. The patient stated that the skin of her feet acquired a bluish discoloration after standing for some time.
Damian Clarke, Manuel Llorca Jaña, Daniel Pailañir
Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution of continuous dependent variables. Measurement in many quantative settings in economic history have as a key input continuous outcome variables of interest. Among many other cases, human height and demographics, economic growth, earnings and wages, and crop production are generally recorded as continuous measures, and are collected and studied by economic historians. In this paper we describe and discuss the broad utility of quantile regression for use in research in economic history, review recent quantitive literature in the field, and provide an illustrative example of the use of these methods based on 20,000 records of human height measured across 50-plus years in the 19th and 20th centuries. We suggest that there is considerably more room in the literature on economic history to convincingly and productively apply quantile regression methods.
Jan Zapletal, Raphael Watschinger, Günther Of
et al.
The presented paper concentrates on the boundary element method (BEM) for the heat equation in three spatial dimensions. In particular, we deal with tensor product space-time meshes allowing for quadrature schemes analytic in time and numerical in space. The spatial integrals can be treated by standard BEM techniques known from three dimensional stationary problems. The contribution of the paper is twofold. First, we provide temporal antiderivatives of the heat kernel necessary for the assembly of BEM matrices and the evaluation of the representation formula. Secondly, the presented approach has been implemented in a publicly available library besthea allowing researchers to reuse the formulae and BEM routines straightaway. The results are validated by numerical experiments in an HPC environment.
Exclusionary populism is well known for twisting real grievances of the citizens, by problematizing the gap between “us” and “them”, capitalizing on identity lines, calling out as “others” those who do not share “pure people’s” identity and culture. Especially after 9/11, Muslims have become the ideal-type of “other”, making Islamophobia the primary populist anti-paradigm. This article contributes to the burgeoning literature on Islamophobic populism analyzing the presence of Islamophobia in the electoral discourse of Vox party in Spain and Lega in Italy. In addition, it makes a novel contribution by discussing and testing the existence of different models of Islamophobia, distinguishing between “banal Islamophobia” and “ontological Islamophobia”. Applying clause-based semantic text analysis—including qualitative and quantitative variables—to thirty speeches by the two party leaders, Santiago Abascal and Matteo Salvini, during the last three elections (General, Regional and European), the paper concludes that, despite the similarities, the two politician display two different models of Islamophobia. Whereas Abascal displays a clear “ontological Islamophobia”, depicting Muslims ontologically incompatible with Spanish civilization (defined precisely by its anti-Muslim history), the latter presents a mix of arguments that oscillate between “ontological” and “banal” Islamophobia.