Análisis de la realización de espectáculos televisivos en directo: Italia en Eurovisión 2021

This paper aims to study the production of live television at the Eurovision Song Contest, a contest characterized by the use of avant-garde and experimental technologies and staging. The filming and production of the winning performance in 2021, «Zitti e buoni», by the Italian group Måneskin, is selected as a case study, as it breaks with previous trends. The main objectives of this research are to analyze the selected performance from a discursive and formal perspective and to identify the visual references on which the production is based. We apply a formal audiovisual analysis while considering intertextual practices and the intention to appropriate pop culture references. The formal audiovisual analysis highlights the respect for a functional and classic audiovisual grammar that tries to make itself invisible to highlight the members of the band with their charisma. Faced with previous practices trying to break spatial and temporal continuity, the performance claims a classical audiovisual grammar and an apparently simple staging based on nostalgia.

Mover

Human mobility models typically produce mobility data to capture human mobility patterns individually or collectively based on real-world observations or assumptions, which are essential for many use cases in research and practice, e.g., mobile networking, autonomous driving, urban planning, and epidemic control. However, most existing mobility models suffer from practical issues like unknown accuracy and uncertain parameters in new use cases because they are normally designed and verified based on a particular use case (e.g., mobile phones, taxis, or mobile payments). This causes significant challenges for researchers when they try to select a representative human mobility model with appropriate parameters for new use cases. In this paper, we introduce a MObility VERification framework called MOVER to systematically measure the performance of a set of representative mobility models including both theoretical and empirical models based on a diverse set of use cases with various measures. Based on a taxonomy built upon spatial granularity and temporal continuity, we selected four representative mobility use cases (e.g., the vehicle tracking system, the camera-based system, the mobile payment system, and the cellular network system) to verify the generalizability of the state-of-the-art human mobility models. MOVER methodically characterizes the accuracy of five different mobility models in these four use cases based on a comprehensive set of mobility measures and provide two key lessons learned: (i) For the collective level measures, the finer spatial granularity of the user cases, the better generalization of the theoretical models; (ii) For the individual-level measures, the lower periodic temporal continuity of the user cases, the theoretical models typically generalize better than the empirical models. The verification results can help the research community to select appropriate mobility models and parameters in different use cases.

On the interplay between tense marking, aspect and temporal continuity in Udora Komi

The Udora dialect of Zyrian Komi lacks the morphological opposition between the present and future tenses that is found in other Komi dialects and the written standard. The morphemes corresponding to these tenses are, however, found in this dialect, with individual verbs showing a strong tendency to choose one of the two. This study shows that the two morphemes are not in free variation but rather carry various grammatical meanings, and that the variants are strongly connected to the lexical aspect of individual verbs. Due to the rigidity of the system, the authors refer to the variants here as conjugation types. The -as- conjugation type, which corresponds to the Standard Komi future marker, occurs with all transitive verbs and a majority of intransitive verbs. However, the study also identifies a group of intransitive verbs occurring with the conjugation type -e̮-. The verbs in the latter group can be analysed as temporally continuous. Additionally, there are other subgroupings that can be postulated, including verbs that describe involuntary actions. The system interacts in a predictable manner with Komi derivational morphology. The study also corroborates the previously proposed historical connection between this characteristic of verbal morphology in the Udora dialect and Old Komi. The authors suggest that the verbal morphology seen in these Komi varieties must predate the contemporary tense system. The study provides a new direction for analysing the development of the tense system in the Permic languages, as it is shown that the factors underlying the variation extend beyond transitivity. As a previously undescribed phenomenon, the study describes the use of the Udora conjugation types in narrative tense structuring and demonstrate parallels with Standard Komi.

Generating 1 km Spatially Seamless and Temporally Continuous Air Temperature Based on Deep Learning over Yangtze River Basin, China

Air temperature is one of the most essential variables in understanding global warming as well as variations of climate, hydrology, and eco-systems. However, current products and assimilation approaches alone can provide temperature data with high resolution, high spatio-temporal continuity, and high accuracy simultaneously (refer to 3H data). To explore this kind of potential, we proposed an integrated temperature downscaling framework by fusing multiple remotely sent, model-based, and in-situ datasets, which was inspired by point-surface data fusion and deep learning. First, all of the predictor variables were processed to maintain spatial seamlessness and temporal continuity. Then, a deep belief neural network was applied to downscale temperature with a spatial resolution of 1 km. To further enhance the model performance, calibration techniques were adopted by integrating station-based data. The results of the validation over the Yangtze River Basin indicated that the average Pearson correlation coefficient, RMSE, and MAE of downscaled temperature achieved 0.983, 1.96 °C, and 1.57 °C, respectively. After calibration, the RMSE and MAE were further decreased by ~20%. In general, the results and comparative analysis confirmed the effectiveness of the framework for generating 3H temperature datasets, which would be valuable for earth science studies.

The episodic man: How a psychological biography of Donald J. Trump casts new light on empirical research into narrative identity

People make meaning through life narrative. The central thesis of my book-length psychological biography of Donald Trump is that the 45th president of the United States defied this general meaning-making tendency and epitomized instead the episodic man. Like no other president in modern history, Trump seems to be nearly devoid of a narrative identity, which is an internalized and evolving story of the self that reconstructs the personal past and imagines the future in order to provide life with temporal continuity and meaning. Instead, Trump has always lived in the emotionally vivid moment (episode), fighting to win each moment, moment by discrete moment. Seeing him through the lens of the episodic man helps to explain many puzzling features of Donald Trump’s personality, from his charismatic effect on millions of Americans to his penchant for lying and malice. Importantly, the analysis of Trump’s episodic nature informs the scientific study of narrative identity and meaning making more generally, suggesting that people vary not only with respect to the kinds of stories they create for their lives but also with respect to the extent to which they construe life in narrative terms. Therefore, the analysis of Trump illustrates the potentially reciprocal relationship between the idiographic case and the nomothetic effort to develop and evaluate more general scientific hypotheses.

Individual believes about temporal continuity explain perceptual biases

Perceptual biases vary considerably between individuals. In the framework of probabilistic perception, these variations are commonly attributed to differences in sensory noise, which determines reliance on internal priors, and thus the size of biases. However, sensory noise is not the only determinant of perceptual outcomes: internal generative models, which express our believes about how stimuli are generated in the world, play a decisive role. These believes are mirrored in the types of explanatory models, static or iterative, offered in the literature. While static models are based on the assumption that consecutive stimuli are independent, iterative models presume some temporal continuity. Here we compare experimental results for time and distance estimation with model predictions and propose that interindividual differences cannot be explained by individual levels of sensory noise alone, but that differences in biases such as central tendency and serial dependence are based on individual believes expressed by different generative models.

A shared mechanism for facial expression in human faces and face pareidolia

Facial expressions are vital for social communication, yet the underlying mechanisms are still being discovered. Illusory faces perceived in objects (face pareidolia) are errors of face detection that share some neural mechanisms with human face processing. However, it is unknown whether expression in illusory faces engages the same mechanisms as human faces. Here, using a serial dependence paradigm, we investigated whether illusory and human faces share a common expression mechanism. First, we found that images of face pareidolia are reliably rated for expression, within and between observers, despite varying greatly in visual features. Second, they exhibit positive serial dependence for perceived facial expression, meaning an illusory face (happy or angry) is perceived as more similar in expression to the preceding one, just as seen for human faces. This suggests illusory and human faces engage similar mechanisms of temporal continuity. Third, we found robust cross-domain serial dependence of perceived expression between illusory and human faces when they were interleaved, with serial effects larger when illusory faces preceded human faces than the reverse. Together, the results support a shared mechanism for facial expression between human faces and illusory faces and suggest that expression processing is not tightly bound to human facial features.

A Landscape Persistence Assessment of Częstochowa Upland: A Case Study of Ogrodzieniec, Poland

Landscape permanence is understood as the temporal extent of the dominance of a given type of landscape, expressed by the temporal continuity of its use. This issue, already being the subject of much research, is important in proper landscape protection and management. In this paper, spatial landscape persistence and persistence of particular landscape types are presented for the Ogrodzieniec municipality, Częstochowa Upland, Poland. In addition, a background of landscape types and their changes in the Częstochowa Upland has been presented. Based on current and historical topographic maps, landscape types (forest, agriculture, settlement, fortified and industrial) were identified for the following studied periods: 1831, 1944, 1965, 2007, 2014 and 2020. After overlapping the maps, the persistence index was calculated, and isochrones of landscape persistence were determined. The term ‘landscape isochrones’ introduced in this paper is defined as theoretical lines of equal landscape time duration (iso-persistence line). The results show that the landscape of Ogrodzieniec can be considered to be persistent. The largest area of the municipality is occupied by the most permanent landscapes dating from before 1831. The most persistent is the fortified landscape. The method applied is important for planning sustainable development of the region, which is currently under intense tourist and economic pressure.

Categories of context in realist evaluation

Realist evaluation has become widespread partly because of its sensitivity to the influence of contexts on policy implementation. In many such evaluations, the range of contexts considered relevant nevertheless remains disparate and under-conceptualised. This article uses findings from a realist evaluation of English Patient Safety Collaboratives during 2015–2018 to develop a realist taxonomy of contexts, differentiating contexts according to how they affect the corresponding policy mechanism. By analysing the main context-mechanism-outcome configurations that made up the English Patient Safety Collaboratives, we derive a taxonomy of the contexts that affected implementation and outcomes. The categories of context were structural (network, hierarchy, market and organisational contexts); resource-based (actors, material, financial); motivational (receptivity, outcome headroom), and temporal (continuity, history and convergence). To the categories found in previous studies, this study adds the three temporal contexts.