Miracle-dz/UniFAR-FTUs huggingface dataset:
Refugees Welcome? Understanding the Regional Heterogeneity of Anti-Foreigner Hate Crimes in Germany

In this article, we examine anti-foreigner hate crime in the wake of the large influx of asylum seekers to Germany in 2014 and 2015. By exploiting the quasi-experimental assignment of asylum seekers to German regions, we estimate the causal effect of an unexpected and sudden change in the share of the foreign-born population on anti-foreigner hate crime. Our county-level analysis shows that not simply the size of regional asylum seeker inflows drives the increase in hate crime, but the rapid compositional change of the residential population: Areas with previously low shares of foreign-born inhabitants that face large-scale immigration of asylum seekers witness the strongest upsurge in hate crime. Economically deprived regions and regions with a legacy of anti-foreigner hate crimes are also found to be prone to hate crime against refugees. However, when we explicitly control for East-West German differences, the predominance of native-born residents at the local level stands out as the single most important factor explaining the sudden increase in hate crime.
You can't always get what you want? A Monte Carlo analysis of the bias and the efficiency of dynamic panel data estimators

We assess the bias and the efficiency of state-of-the-art dynamic panel data estimators by means of model-based Monte Carlo simulations. The underlying data-generating process consists of a standard theoretical growth model of income convergence based on capital accumulation. While we impose a true underlying speed of convergence of around 5% in our simulated data, the results obtained with the different panel data estimators range from 0.03% to 17%. This implies a range of the half life of a given income gap from 4 years up to several hundred years. In terms of the squared percent error, the pooled OLS, fixed effects, random effects, and difference GMM estimators perform worst, while the system GMM estimator with the full matrix of instruments and the corrected least squares dummy variable (LSDVC) estimator perform best relative to the other methods under consideration. The LSDVC estimator, initialized by the system GMM estimator with the full matrix of instruments, is the only one capturing the true speed of convergence within the 95% confidence interval for all scenarios. All other estimators yield point estimates that are substantially different from the true values and confidence intervals that do not include the true value in most scenarios.
Asymmetric Convergence in Globalization? Findings from a Disaggregated Analysis

Using the KOF index of globalization that allows for the multidimensionality of the process, the paper sets out to examine the presence of convergence among countries in the three dimensions of the globalization process: economic, social, political. The sample used in the empirical investigation consists of 111 countries and covers the period 1971–2011. To allow for differences in the speed of convergence, countries were clustered into four income groups: high, upper middle, lower middle and low income in line with the World Bank’s classification. The results yielded and reported herein point to an asymmetric process of convergence with different speeds both between groups as well as in the different dimensions of globalization.
Warm cores around regions of low-mass star formation

Warm cores (or hot corinos) around low-mass protostellar objects show a rich chemistry with strong spatial variations. This chemistry is generally attributed to the sublimation of icy mantles on dust grains initiated by the warming effect of the stellar radiation. We have used a model of the chemistry in warm cores in which the sublimation process is based on extensive laboratory data; these data indicate that sublimation from mixed ices occurs in several well-defined temperature bands. We have determined the position of these bands for the slow warming by a solar-mass star. The resulting chemistry is dominated by the sublimation process and by subsequent gas-phase reactions; strong spatial and temporal variations in certain molecular species are found to occur, and our results are, in general, consistent with observational results for the well-studied source IRAS 16293-2422. The model used is similar to the one that describes the chemistry of hot cores. We infer that the chemistry of both hot cores and warm cores may be described by the same model (suitably adjusted for different physical parameters).
Economically Incentivising Smart Urban Regeneration. Case Study of Port Louis, Mauritius

Port Louis, the capital city of Mauritius, has been the preferred city for hosting the judicial, political and business activities of the country for the past two centuries. However, new policies have created nine new smart cities in greenfield locations within 10 km from Port Louis, so the capital city is facing economic decline as it is losing businesses, as well as administrative functions. This loss equates to an erosion in municipal revenue along with a reduced interest in contributing to the development of the city; all of which takes a toll on its urban economic landscape, as well as on the broader Mauritian economy. This paper builds from the findings of a focus group study to propose a smart urban regeneration model for the City of Port Louis, which could enable the old city to be restored and regenerated rather than redeveloped in modernist architecture, as has happened in the new smart cities model. A smart urban regeneration model is proposed backed by the pillars of smart infrastructure, culture, metabolism and governance. The proposed model is applied to the context of Port Louis to generate an urban regeneration scheme. The potential benefits in terms of financial outcomes, investment attraction and job creation are explored through a combined application of econometric forecasting models. The results support positive figures of both investment and job creation, and the findings of this study aim at informing and providing the governing bodies of Port Louis with a tangible solution for revamping the centuries-old capital city, as well as demonstrating to the world that smart cities can mean sensitive urban regeneration.
Thermodynamics of perfect fluids from scalar field theory

The low-energy dynamics of relativistic continuous media is given by a shift-symmetric effective theory of four scalar fields. These scalars describe the embedding in spacetime of the medium and play the role of Stuckelberg fields for spontaneously broken spatial and time translations. Perfect fluids are selected imposing a stronger symmetry group or reducing the field content to a single scalar. We explore the relation between the field theory description of perfect fluids to thermodynamics. By drawing the correspondence between the allowed operators at leading order in derivatives and the thermodynamic variables, we find that a complete thermodynamic picture requires the four Stuckelberg fields. We show that thermodynamic stability plus the null-energy condition imply dynamical stability. We also argue that a consistent thermodynamic interpretation is not possible if any of the shift symmetries is explicitly broken.
Conversation is the soul of democracy: Expression effects, communication mediation, and digital media

A sizable body of empirical evidence indicates political conversation—both face-to-face and online—drives participatory engagement. Digital, social, and mobile media provide new avenues and tools for political talk, with affordances that may be particularly conducive to expression effects—that is, the impact of message production on the sender. This essay contends that an emphasis on deliberative democracy has limited attention to the psychological implications of political expression and creative production via information technologies and digital media.
INTERACTION ALONE CANNOT SUPPORT THE EMERGENCE OF A SPATIAL AGREEMENT SYSTEM IN A PAIRED INTERACTION CONTEXT

We used an experimental semiotics approach to ask whether interaction between individuals in the same “generation” of language users (horizontal interaction) supports the emergence of a spatial agreement system like those of established sign languages. Pairs of hearing non-signers participated in an interactive gesture communication task designed to elicit the use of space. No pairs spontaneously generated a spatial agreement system as complex as those in established sign languages, but their strategies resembled such systems. We conclude that interaction promotes the genesis of linguistic structure, but is not solely responsible for the emergence of complex linguistic features.
Jails by Java: Simulating Racial Disparities in Incarceration Rates and Subsequent Solutions with Object- Oriented Statistical Programming December 14, 2015 Simulating Racial Disparities in Incarceration Rates and Subsequent Solutions with Object- Oriented Statistical Programming

Using Java, I built an agent—based model of incarceration with data collected from the 2014 Lum et al. study, utilizing principles of object-oriented programming to construct a synthetic population and statistical functions provided by CERN’s Jet library to generate data which illustrates the racial disparity in incarceration rates. The goals of the development of this model are threefold: First, to demonstrate the viability of porting and optimizing a model for another programming language, which has the potential of increasing accessibility, expandability and comprehension of the model. Second, leading in from the first one, is the intent of reproducing the observed disparities in incarceration rates through minor parameter adjustment, providing a demonstration of the contagious nature of the model. The third goal is an expansion of the Lum et al. model by simulating potential solutions of equalizing sentencing between white and black populations as a means off alleviating the immense disparity, the relative simplicity of the model allows one to generate such ideal conditions, although the parameters can be further adjusted to account for more realistic solutions. The ultimate end of this work is to reinforce the value of computational agent-based models in epidemiology and criminology.
Using Causal Maps to Analyse the Major Root Causes of Household Food Waste: Results of a Survey among People from Central and Southern Italy

Food waste is an important sustainability issue that needs to be addressed. Consumer behaviour is one of the biggest sources of food waste in developed countries. To successfully reduce consumer-related food waste, it is necessary to have a clear understanding of its major root causes at the level of the individual. The present manuscript presents the results of an exploratory on-line survey that was made available through Google Drive and conducted among a representative sample of 1058 Italian individuals. The information contained in the questionnaire related to the characteristics of the individual respondents, their attitudes to expenditure and food, and their opinions of measures to reduce or prevent food waste. Data analysis was conducted in three phases. The first phase allowed for the identification, with the application of descriptive statistics, of the socio-demographic characteristics of the respondents and why, what, and how much they wasted. In the second phase, linear regression analysis and causal maps were used to both measure the statistical dependence between variables and to identify the main root causes of food waste in the phase of individual consumption. As expected, the perceived quantity of food waste that was declared by respondents was very low. Among the major root causes identified, the socio-demographic characteristics of consumers, types of food shopping purchases, and consumer behaviour played a key role. A causal map was drawn, which offers an immediate vision of the major root causes and can be a useful tool for policymakers who intend to introduce measures to combat food waste. Finally, participants’ responses showed that the main initiatives needed to eliminate waste are the separate collection and dissemination of more information on the impact that waste has on the environment. For these reasons, information and education policies are crucial for changing consumer lifestyles and raising awareness of the value of food.
Mindful Economics : The Production , Consumption , and Value of Beliefs

I n the economic models of old, agents had backward-looking expectations, arising from simple extrapolation or error-correction rules. Then came the rational-expectations revolution in macroeconomics, and in microeconomics the spread and increasing refinements of modern game theory. Agents were now highly sophisticated information processors, who could not be systematically fooled. This approach reigned for several decades until the pendulum swung back with the rise of behavioral economics and its emphasis on “heuristics and biases” (as in Tversky and Kahneman 1974). Overconfidence, confirmation bias, distorted probability weights, and a host of other “wired-in” cognitive mistakes are now common assumptions in many areas of economics. Over the last decade or so, the pendulum has started to swing again toward some form of adaptiveness, or at least implicit purposefulness, in human cognition. In this paper, we provide a perspective into the main ideas and findings emerging from the growing literature on motivated beliefs and reasoning. This perspective emphasizes that beliefs often fulfill important psychological and functional needs of the individual. Economically relevant examples include confidence in ones’ abilities, moral self-esteem, hope and anxiety reduction, social identity, political ideology and religious faith. People thus hold certain beliefs in part because Mindful Economics: The Production, Consumption, and Value of Beliefs
Measuring social impacts in conservation: experience of using the Most Significant Change method

Abstract The ability to measure and demonstrate the impact of conservation interventions is critical for management, accountability, and lesson-learning, yet most organizations struggle to implement appropriate, effective monitoring and evaluation. This is particularly so for community-based projects and livelihoods-focused interventions that require the use of social science methods unfamiliar to most conservation biologists. Quantitative surveys and indicator-based approaches are commonly used but are limited in their utility, and ignore a wealth of potentially valuable qualitative and anecdotal information on impact and change. Here we describe a method for standardizing the collection and analysis of stories of change that originated in, and is commonly employed by, the development sector. Trials of the use of the Most Significant Change method in a range of Fauna & Flora International's partnership projects revealed not only its value as a monitoring tool alongside more familiar surveys and quantitative data collection but also as a participatory management tool that improved staff capacity and project adaptive management and responsiveness. Although initially time-consuming to establish and implement, it has been embraced by these projects as a beneficial addition to monitoring and evaluation. The consequent interest it has raised amongst other conservation practitioners suggests that it warrants further testing and application. Conservationists would do well to learn from the tools and experiences of the development sector when exploring the social impacts of conservation projects.
Unit Frame 3 : T + 2 Frame 1 : T Frame 2 : T + 1 FrameT + 1 FrameT + 2 FrameT + 3

Spatiotemporal predictive learning, though long considered to be a promising selfsupervised feature learning method, seldom shows its effectiveness beyond future video prediction. The reason is that it is difficult to learn good representations for both short-term frame dependency and long-term high-level relations. We present a new model, Eidetic 3D LSTM (E3D-LSTM), that integrates 3D convolutions into RNNs. The encapsulated 3D-Conv makes local perceptrons of RNNs motion-aware and enables the memory cell to store better short-term features. For long-term relations, we make the present memory state interact with its historical records via a gate-controlled self-attention module. We describe this memory transition mechanism eidetic as it is able to effectively recall the stored memories across multiple time stamps even after long periods of disturbance. We first evaluate the E3D-LSTM network on widely-used future video prediction datasets and achieve the state-of-the-art performance. Then we show that the E3D-LSTM network also performs well on the early activity recognition to infer what is happening or what will happen after observing only limited frames of video. This task aligns well with video prediction in modeling action intentions and tendency.
Host-shift effects on mating behavior and incipient pre-mating isolation in seed beetle

Mating behavior is based on communication among mates and includes both sexual signaling and mating preferences. In phytophagous insects, shift to a novel host will expose associated traits to novel selection regimes and eventually cause assortative mating and sexual isolation between populations inhabiting diverse host plants. We investigated the relationship between short- and long-term changes in mating systems on Acanthoscelides obtectus. Mating preferences were evaluated using measures of copulation frequency in mating trials within and among populations and by measuring time spent in sexual interactions prior to copulation. Sexual signaling was previously analyzed by chemical detection of contact pheromones (i.e., cuticular hydrocarbons [CHCs]), and these results were used in this study. Laboratory populations evolved for 50 generations either on the optimal host (common bean) or on the suboptimal host (chickpea). To determine short-term effects, subsets of individuals from each population were exposed to the alternative host for 1 generation. We revealed higher level of indiscriminate mating in populations, which evolved on the suboptimal host. Males from these populations spent less time in assessing mates although they had the ability to discriminate between signals. Short-term larval experience on the suboptimal host also decreased selectivity of mates. The results imply that plastically induced reduction in mate discrimination, after a shift to suboptimal host, may have been canalized through long-term genetic changes underlying behavioral development. Significant reproductive isolation between the 2 sets of populations was revealed regardless of the short-term host treatment.
The online processing of noun phrase ellipsis and mechanisms of antecedent retrieval

ABSTRACT We investigate whether grammatical information is accessed in processing noun phrase ellipsis (NPE) and other anaphoric constructions. The first experiment used an agreement attraction paradigm to reveal that ungrammatical plural verbs following NPE with an antecedent containing a plural modifier (e.g. Derek’s key to the boxes … and Mary’s_ probably *are safe in the drawer) show similar facilitation to non-elided NPs. The second experiment used the same paradigm to examine a coordination construction without anaphoric elements, and the third examined anaphoric one. Agreement attraction was not observed in either experiment, suggesting that processing NPE is different from processing non-anaphoric coordination constructions or anaphoric one. Taken together, the results indicate that the parser is sensitive to grammatical distinctions at the ellipsis site where it prioritises and retrieves the head at the initial stage of processing and retrieves the local noun within the modifier phrase only when it is necessary in parsing NPE.
Firm-Specific Experience Versus General Skills

This article starts with an overview of the characteristics of chief executive officers (CEOs). I discuss the rising importance of general skills over firm-specific skills and the growing share of externally recruited CEOs. I also discuss possible reasons for the underrepresentation of women and the overrepresentation of family members in the corporate suite. I then review the three main explanations that have been put forward to explain the surge in CEO compensation over the past 30 years: principal-agent view, rent extraction view, and market-based view. I assess the strengths and weaknesses of each of these explanations in light of the existing empirical research. Finally, I review work on how entrenched CEOs or cognitively biased CEOs may cause corporate practices to deviate from the maximization of firm value.
Initiation of Dynamic Recrystallization in Constant Strain Rate Hot Deformation

In constant strain rate tests, the occurrence of dynamic recrystallization (DRX) is traditionally identified from the presence of stress peaks in flow curves. However, not all materials display well-defined peaks when tested under these conditions. Using plain carbon, Nb-bearing and 321 austenitic stainless steels, it is shown that the onset of DRX can also be detected from inflections in plots of the strain hardening rate θ against stress a or, equivalently, from inflections in In θ-In a and In θ-e plots regardless the presence of stress peaks in the flow curves. These observations are verified by means of metallography. A unified description of the flow curve is introduced based on normalization of the stress and strain by the respective peak or steady state values. This approach reveals that, in a given material, the ratio of DRX critical stress to the peak or steady state stress is constant, as is that of the critical strain to the corresponding strain values. Furthermore, it is shown that the present technique can be used to establish the occurrence of DRX when this cannot be determined unambiguously from the shape of the flow curve.
Trade Liberalisation and Greenhouse Gas Emissions: The Case of Dairying in the European Union and New Zealand

The link between trade and the environment has aroused considerable interest both in terms of the impact of trade liberalisation on the environment, and also the impact of environmental policy on production and trade. Of key environmental concern at present is global warming and its association with greenhouse gas emissions. Agriculture is a sector of the economy that both contributes to, and will be affected by, climate change. This paper models the impact of agricultural trade liberalisation on greenhouse gas emissions from agriculture around the world, focusing particularly on the effects on New Zealand, a small economy highly dependent on agricultural trade. A partial equilibrium agricultural multicountry, multicommodity trade model is used for the analysis, extended to include physical production systems and their greenhouse gas emissions. Two simulations are performed: removal of agricultural policies in the EU and in all OECD countries. The results indicate that although producer returns in New Zealand increase, greenhouse gas emissions also increase significantly. EU producers face lower returns but also lower greenhouse gas emissions.