Transnational Fantômas: The Influence of Feuillade’s Series on International Cinema during the 1910s

The influence of Fantômas novels and films on global popular culture is widely acknowledged. From the 1915 Spanish musical "Cine-fantomas" to the 1960s Italian comic book series "Diabolik," "Kriminal" and "Satanik," from Turkish B-movies such as "Fantoma Istanbulda Bulusalim" (dir. Natuk Baytan, 1967) to Julio Cortazar’s anti-imperialist pamphlet "Fantômas contra los vampiros multinacionales" (1975), Pierre Souvestre and Marcel Allain’s original literary series have engendered uncountable translations, adaptations, imitations and plagiarisms that have spread the character’s fame worldwide since its first appearance in 1911.
By focusing on the influence of Louis Feuillade’s film adaptations during the first decade of Fantômas’ long history as a transnational and transmedia icon, this paper aims to contribute to the growing interdisciplinary field that deals with the history of the supranational cultural sphere created by modern media culture. As a sort of archaeology of contemporary cultural globalization, this form of study intends to enrich previous historical surveys that had only taken into consideration specific national contexts. Moreover, it might also rebalance certain “colonizing” accounts that overemphasize the role of the cultural superpowers such as France, the UK or the US, often forgetting the appropriation of the products of international popular culture to be found in other countries. Therefore, this paper examines the transnational circulation of Fantômas films and, in particular, the creative processes engendered outside of France their origin country. As a controversial character and a central player in the relationship between cinema and literature in the crucial years when the feature and serial film boosted and legitimized the film industry, Fantômas represents an exemplary case study to discuss the cross-cultural and cross-media dynamics engendered by popular fiction.

An allelic series reveals essential roles for FY in plant development in addition to flowering-time control.

The autonomous pathway functions to promote flowering in Arabidopsis by limiting the accumulation of the floral repressor FLOWERING LOCUS C (FLC). Within this pathway FCA is a plant-specific, nuclear RNA-binding protein, which interacts with FY, a highly conserved eukaryotic polyadenylation factor. FCA and FY function to control polyadenylation site choice during processing of the FCA transcript. Null mutations in the yeast FY homologue Pfs2p are lethal. This raises the question as to whether these essential RNA processing functions are conserved in plants. Characterisation of an allelic series of fy mutations reveals that null alleles are embryo lethal. Furthermore, silencing of FY, but not FCA, is deleterious to growth in Nicotiana. The late-flowering fy alleles are hypomorphic and indicate a requirement for both intact FY WD repeats and the C-terminal domain in repression of FLC. The FY C-terminal domain binds FCA and in vitro assays demonstrate a requirement for both C-terminal FY-PPLPP repeats during this interaction. The expression domain of FY supports its roles in essential and flowering-time functions. Hence, FY may mediate both regulated and constitutive RNA 3'-end processing.

Stonehenge:Digging in the Past Series.

Malone, C. and N. Bernard, Stonehenge. 2004, New York, Oxford University Press.

Transnational connections in European crime film series (1908–1914)

This article addresses the issue of ‘European popular cinema’ by discussing a very specific phenomenon, i.e. the crime series produced in the years immediately preceding World War I (e.g. Victorin Jasset’s Nick Carter, Viggo Larsen’s Arsène Lupin contra Sherlock, Ubaldo Maria del Colle’s Raffles, il ladro misterioso, Louis Feuillade’s Fantômas, George Pearson’s Ultus). On the one hand, the transnational circulation of these films is seen as the result of the development of the European cultural industries since the late nineteenth century; on the other hand, the rapid decline of this genre testifies of the historical peculiarity of this production. In particular, the popular heroic figure of the ‘gentleman thief’ seems to express at the same time the liberating, anti-hierarchial ethos of modernization and the dream of a quiet conciliation of the new and the traditional values: as a consequence, it might be regarded as a telling example of the economical, social and ideological transformations of that crucial phase in European history, when the development of the second industrial revolution and the first phase of ‘globalization’ pointed at the birth of a supranational sphere before the outbreak of World War I, which would temporarily stop this process.

The influence of market deregulation on fast food consumption and body mass index:A cross-national time series analysis

Objective
To investigate the effect of fast food consumption on mean population body mass index (BMI) and explore the possible influence of market deregulation on fast food consumption and BMI.

Methods
The within-country association between fast food consumption and BMI in 25 high-income member countries of the Organisation for Economic Co-operation and Development between 1999 and 2008 was explored through multivariate panel regression models, after adjustment for per capita gross domestic product, urbanization, trade openness, lifestyle indicators and other covariates. The possible mediating effect of annual per capita intake of soft drinks, animal fats and total calories on the association between fast food consumption and BMI was also analysed. Two-stage least squares regression models were conducted, using economic freedom as an instrumental variable, to study the causal effect of fast food consumption on BMI.

Findings
After adjustment for covariates, each 1-unit increase in annual fast food transactions per capita was associated with an increase of 0.033 kg/m2 in age-standardized BMI (95% confidence interval, CI: 0.013–0.052). Only the intake of soft drinks – not animal fat or total calories – mediated the observed association (β: 0.030; 95% CI: 0.010–0.050). Economic freedom was an independent predictor of fast food consumption (β: 0.27; 95% CI: 0.16–0.37). When economic freedom was used as an instrumental variable, the association between fast food and BMI weakened but remained significant (β: 0.023; 95% CI: 0.001–0.045).

Conclusion
Fast food consumption is an independent predictor of mean BMI in high-income countries. Market deregulation policies may contribute to the obesity epidemic by facilitating the spread of fast food.

Novel GlyT1 inhibitor chemotypes by scaffold hopping. Part 2: Development of a [3.3.0]-based series and other piperidine bioisosteres

This Letter describes the development and SAR of a novel series of GlyT1 inhibitors derived from a scaffold hopping approach, in lieu of an HTS campaign, which provided intellectual property position. Members within this new [3.3.0]​-​based series, e.g. I, displayed excellent GlyT1 potency, selectivity, free fraction, and modest CNS penetration. Moreover, enantioselective GlyT1 inhibition was obsd., within this novel series and a no. of other piperidine bioisosteric cores.

Income ineqaulity from 1960-2012: a brief time-series history of capital and labour

This commentary examines two principal forms of inequality and their evolution since the 1960s: the division of national income between capital and labour, and the share of total income held by the top 1 per cent of earners. Trends are linked to current discussions of inequality drivers such as financialisation, and a brief time-series analysis of the effects of trade and financial sector growth on top incomes is presented.

Bandwidth selection by cross-validation for forecasting long memory financial time series

The paper addresses the issue of choice of bandwidth in the application of semiparametric estimation of the long memory parameter in a univariate time series process. The focus is on the properties of forecasts from the long memory model. A variety of cross-validation methods based on out of sample forecasting properties are proposed. These procedures are used for the choice of bandwidth and subsequent model selection. Simulation evidence is presented that demonstrates the advantage of the proposed new methodology.

Optimal Time Series Momentum

We develop a continuous-time asset price model to capture the timeseries momentum documented recently. The underlying stochastic delay differentialsystem facilitates the analysis of effects of different time horizons used bymomentum trading. By studying an optimal asset allocation problem, we find thatthe performance of time series momentum strategy can be significantly improvedby combining with market fundamentals and timing opportunity with respect tomarket trend and volatility. Furthermore, the results also hold for different timehorizons, the out-of-sample tests and with short-sale constraints. The outperformanceof the optimal strategy is immune to market states, investor sentiment andmarket volatility.

Learning from time series:Supervised Aggregative Feature Extraction

Many modeling problems require to estimate a scalar output from one or more time series. Such problems are usually tackled by extracting a fixed number of features from the time series (like their statistical moments), with a consequent loss in information that leads to suboptimal predictive models. Moreover, feature extraction techniques usually make assumptions that are not met by real world settings (e.g. uniformly sampled time series of constant length), and fail to deliver a thorough methodology to deal with noisy data. In this paper a methodology based on functional learning is proposed to overcome the aforementioned problems; the proposed Supervised Aggregative Feature Extraction (SAFE) approach allows to derive continuous, smooth estimates of time series data (yielding aggregate local information), while simultaneously estimating a continuous shape function yielding optimal predictions. The SAFE paradigm enjoys several properties like closed form solution, incorporation of first and second order derivative information into the regressor matrix, interpretability of the generated functional predictor and the possibility to exploit Reproducing Kernel Hilbert Spaces setting to yield nonlinear predictive models. Simulation studies are provided to highlight the strengths of the new methodology w.r.t. standard unsupervised feature selection approaches. © 2012 IEEE.