Representation Of Events Research Articles

Social representations as a spatial conditioner: The talk of violence in Carioca funk and the social perception of territories in Rio de Janeiro

The work investigates the clashes of the representations of violence linked to “Carioca funk” and analyzes how they condition the identification of territories perceived as conflict zones. It is generally believed that these social representations are influenced by language, culture and narratives created by different players and their interests. In order to understand how this conditioning takes place, a specific event stands out as a case study, the "arrastão" (riot) on October 18, 1992, on Ipanema Beach, Rio de Janeiro. The theoretical-methodological contribution used is based on Chartier's notion of “representation” and Mbembe's concept of “necropolitics”. Based on the work of these authors, we seek to show how power can be built, maintained and reinforced through the social representations that are created and disseminated. To analyze the event, sources in newspaper articles, television news spots, police testimonies, funk lyrics and the relevant scientific literature are used. Through the different representations of the same event, it was possible to highlight the condition they exert on the perceptions and recognition of “fearful” urban territories.

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Wildfires are an escalating global threat, jeopardizing ecosystems and human activities. Among the repercussions in the ecosystem services of burnt areas, there are altered hydrological processes, which increase the risks of flash floods. There is limited research addressing this issue in a comprehensive way, considering pre- and post-fire conditions to accurately represent flood events. To address this gap, we present a novel approach combining multiple methods and tools for an accurate representation of post-fire floods. The 2019 post-fire flood in Kineta, Central Greece is used as a study example to present our framework. We simulated the meteorological conditions that caused this flood using the atmospheric model WRF-ARW. The burn extent and severity and the flood extent were assessed through remote sensing techniques. The 2D HEC-RAS hydraulic–hydrodynamic model was then applied to represent the flood event, using the rain-on-grid technique. The findings underscore the influence of wildfires on flooding dynamics, highlighting the need for proactive measures to address the increasing risks. The integrated multidisciplinary approach used offers an improved understanding on post-fire flood responses, and also establishes a robust framework, transferable to other similar cases, contributing thus to enhanced flood protection actions in the face of escalating fire-related disasters.

Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model

Realistic representation of hydrological drought events is increasingly important in world facing decreased freshwater availability. Index-based drought monitoring systems are often adopted to represent the evolution and distribution of hydrological droughts, which mainly rely on hydrological model simulations to compute these indices. Recent studies, however, indicate that model derived water storage estimates might have difficulties in adequately representing reality. Here, a novel Markov Chain Monte Carlo - Data Assimilation (MCMC-DA) approach is implemented to merge global Terrestrial Water Storage (TWS) changes from the Gravity Recovery And Climate Experiment (GRACE) and its Follow On mission (GRACE-FO) with the water storage estimations derived from the W3RA water balance model. The modified MCMC-DA derived summation of deep-rooted soil and groundwater storage estimates is then used to compute 0.5∘ standardized groundwater drought indices globally to show the impact of GRACE/GRACE-FO DA on a global index-based hydrological drought monitoring system. Our numerical assessment covers the period of 2003–2021, and shows that integrating GRACE/GRACE-FO data modifies the seasonality and inter-annual trends of water storage estimations. Considerable increases in the length and severity of extreme droughts are found in basins that exhibited multi-year water storage fluctuations and those affected by climate teleconnections.

Sources and goals in memory and language: Fragility and robustness in event representation

Previous research has demonstrated an asymmetry between Sources and Goals in people’s linguistic and non-linguistic encoding of motion events: when describing events such as a fairy going from a tree to a flower, people mention the Goal (“to a flower”) more often than the Source (“from a tree”); similarly, people are better at detecting Goal than Source changes in memory tests. However, all prior work used a single task to probe memory of Sources and Goals and thus left the nature of the fragility of event components open. Here, we probed memory for Sources and Goals using either a Same-different or a Forced-choice task after participants passively viewed (Experiment 1), viewed and described (Experiment 2) or viewed and heard descriptions of (Experiment 3) the same set of motion events. We robustly replicated the linguistic Source-Goal asymmetry. However, across encoding contexts, the memory asymmetry persisted in the Same-different task but disappeared in the Forced-choice task. The Same-different task results did not change even when participants were explicitly asked to attend to Sources (Experiment 4a) and when motion trajectory was removed at test (Experiment 4b), ruling out a purely test-expectation account for the cross-task effect. We conclude that Sources of motion, even when not mentioned in language nor successfully retrieved at memory test, are nevertheless represented as part of a motion event, and their detailed representation can be reinstated at aided retrieval contexts. Our data clarify the nature of event representation and suggest a fine-grained homology between language and event memory.

Linguacultural Representations in Specialized Migration Discourse: A Lexicographic Perspective

In the last two decades increasing movements of people across countries, due to economic and social reasons, have produced high levels of exchanges among speakers of different languages where English is used globally as a lingua-franca (ELF). Moreover, migration flows across nation states (especially from non-Western countries to Western ones) have encouraged the movement of people, mainly of African and Asian origin, from students to skilled workers, who are often involved in English-mediated interactions where migrants’ native linguacultural background inevitably connects to the language spoken by the host community (e.g., in European countries), and at the same time shapes the use of English as a global means of interaction (Canagarajah, 2013). ELF cross-cultural interactions and translingual processes, naturally occurring in intercultural settings, are particularly remarkable, since they plainly show how ELF speakers, engaged in intercultural interactions, differently appropriate the English language, according to their own native linguacultural patterns, and to specific pragmalinguistic purposes and processes (Guido, 2012, 2018; Mauranen, 2018). This study will address the influence that lexical actualizations in authentic spoken encounters, as well as in written productions in specialized contexts have on the current role and function of English as an international language and which deserve coverage and consideration in lexicographic resources. Research studies on migration narratives, language mediation, cross-cultural conceptual representation and reception of traumatic events, where ELF lexical processes are often activated by the speakers involved, are particularly important to address the development of linguacultural representations that should be covered in dictionaries, lexicons and other lexicographic resources, especially online.

Generation of Orchard and Tree-Child Networks

Phylogenetic networks are an extension of phylogenetic trees that allow for the representation of reticulate evolution events. One of the classes of networks that has gained the attention of the scientific community over the last years is the class of orchard networks, that generalizes tree-child networks, one of the most studied classes of networks. In this paper we focus on the combinatorial and algorithmic problem of the generation of binary orchard networks, and also of binary tree-child networks. To this end, we use that these networks are defined as those that can be recovered by reversing a certain reduction process. Then, we show how to choose a “minimum” reduction process among all that can be applied to a network, and hence we get a unique representation of the network that, in fact, can be given in terms of sequences of pairs of integers, whose length is related to the number of leaves and reticulations of the network. Therefore, the generation of networks is reduced to the generation of such sequences of pairs. Our main result is a recursive method for the efficient generation of all minimum sequences, and hence of all orchard (or tree-child) networks with a given number of leaves and reticulations. An implementation in C of the algorithms described in this paper, along with some computational experiments, can be downloaded from the public repository https://github.com/gerardet46/OrchardGenerator. Using this implementation, we have computed the number of binary orchard networks with at most 6 leaves and 8 reticulations.

Looking differently at locative events: the cognitive impact of linguistic preferences

Abstract While the Talmian dichotomy between satellite-framed and verb-framed languages has been amply studied for motion events, it has been less discussed for locative events, even if Talmy considers these to be included in motion events. This paper discusses such locative events, starting from the significant cross-linguistic variation among Dutch, French, and English. Dutch habitually encodes location via cardinal posture verbs (CPVs; ‘SIT’, ‘LIE’, ‘STAND’) expressing the orientation of the Figure, French prefers orientation-neutral existence verbs like être ‘be’ and English – unlike for motion events – straddles the middle with a marked preference for be but the possibility to occasionally rely on CPVs. Through the analysis of recognition performances and gazing behaviours in a non-verbal recognition task, this study confirms a (subtle) cognitive impact of different linguistic preferences on the mental representation of locative events. More specifically, they confirm the continuum suggested by Lemmens (2005, Parcours linguistiques. Domaine anglais (pp. 223–244). Publications de l’Université St Etienne.) for the domain of location with French on the one extreme and Dutch on the other with English in-between, behaving like French in some contexts but like Dutch in others.

Learning from User-driven Events to Generate Automation Sequences

Enabling smart devices to learn automating actions as expected is a crucial yet challenging task. The traditional Trigger-Action rule approach for device automation is prone to ambiguity in complex scenarios. To address this issue, we propose a data-driven approach that leverages recorded user-driven event sequences to predict potential actions users may take and generate fine-grained device automation sequences. Our key intuition is that user-driven event sequences, like human-written articles and programs, are governed by consistent semantic contexts and contain regularities that can be modeled to generate sequences that express the user's preferences. We introduce ASGen, a deep learning framework that combines sequential information, event attributes, and external knowledge to form the event representation and output sequences of arbitrary length to facilitate automation. To evaluate our approach from both quantitative and qualitative perspectives, we conduct two studies using a realistic dataset containing over 4.4 million events. Our results show that our approach surpasses other methods by providing more accurate recommendations. And the automation sequences generated by our model are perceived as equally or even more rational and useful compared to those generated by humans.

Transitivity Analysis on ‘The Clay Marble’ Novel by Minfong Ho

The need to study language use in literary texts arises due to linguistic complexity, writers’ linguistic choices and subjective understanding of the contextual meaning conveyed by writers. By using Halliday’s (1994) transitivity system, this study analysed ‘The Clay Marble’ novel which highlights the Cambodian Civil War and its implications through the representation of events and characters. By looking at the transitivity processes through the clausal structures and word choices, findings showed that all six processes were employed with material process (69 clauses) used most, followed by relational (42 clauses) and mental (31 clauses) process. Material and relational process is dominantly used to represent themes such as the effects of war, community life among refugees as well as the growth and character development of young refugees during the war. Therefore, transitivity analysis on literary texts helps to uncover writer’s language use and the contextual meaning conveyed through the writer’s linguistic choices.

Investigating the interplay between morphosyntax and event comprehension from the perspective of intersecting object histories.

In a series of sentence-picture verification studies we contrasted, for example, "… choose the balloon with "… inflate the balloon" and "… the inflated balloon" to examine the degree to which different representational components of event representation (specifically, the different object states entailed by the inflating event; minimally, the balloon in its uninflated and inflated states) are jointly activated after state-change verbs and past participles derived from them. Experiments 1 and 2 showed that the initial and end states are both activated after state-change verbs, but that the initial state is considerably less accessible after participles. Experiment 3 showed that intensifier adverbs (e.g., completely) before both state-change verbs and participles further modulate the accessibility of the initial state. And in Experiment 4, we ruled out the possibility that the initial state is accessible only because of the semantic overlap. We conclude that although state-change verbs activate representations of both the initial and end states of their event participants, their accessibility is graded, modulated by the morphosyntactic devices used to describe the event. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluation of precipitation reanalysis products for regional hydrological modelling in the Yellow River Basin

This study evaluates six precipitation reanalysis products for the Yellow River Basin using gridded rain gauge data, runoff data and the Atmospheric and Hydrological Modelling System (AHMS) simulations. The assessment begins with comparing the annual, seasonal, monthly and daily precipitation of the products with gridded rain gauge data. The AHMS is then run with each of the precipitation reanalysis products under two scenarios: one with calibrated rainfall-runoff and the other without. The simulated streamflow is then compared with the corresponding observations. It is found that non-gauge-corrected products tend to overestimate precipitation, especially for mountainous regions. Amongst the six products evaluated, the China Meteorological Forcing Dataset (CMFD) and WATCH Forcing Data methodology applied to ERA5 (WFDE5/CRU+GPCC) are identified as the most accurate products, supported by both statistical and hydrological comparisons. This consistency in statistical and hydrological comparisons suggests the potential applicability of the hydrological comparison method using the AHMS in ungagged catchments, even in the presence of significant anthropogenic impacts. Furthermore, the calibration of the hydrological model significantly impacts the model’s response to precipitation, effectively compensating for deficiencies in rainfall data within certain limits. This study highlights accurate representation of extreme rainfall events in precipitation products has a significant impact on calibrated soil parameters and is particularly important in hydrological modelling. It enhances our understanding of the reliability of hydrological simulations and provides valuable insights for the assessment of precipitation reanalysis products in large arid and semiarid basins affected by human activities.

THE GENRE OF “LAW”: SYNTAX PARAMETERS (BASED ON THE CIVIL AND CRIMINAL CODES OF THE FEDERAL REPUBLIC OF GERMANY)

Laws are classifi ed as texts of offi cial business style, which is used in the fi eld of offi cial public relations. Within the framework of the offi cial business style, the communicative infl uence on the participants of communication is carried out in a directive form with the help of regulatory documents – laws, prescriptions, instructions, regulations, etc. The general features that defi ne the offi cial business style are stylistic neutrality, impersonality, concreteness and objectivity. Regardless of the specifi c genre, they are all characterized by a high frequency of professional terminology, brevity and standardization of the presentation and structuring of the material. The syntactic organization of the genre of “law” in German is analyzed based on the material of the Civil and Criminal Codes of the Federal Republic of Germany. It has been confi rmed that this speech genre belongs to the offi cial-business style with typical features of a generalized representation of events, an instructional-informative type of text, a neutral presentation and a specifi c language design. The offi cialbusiness- style is characterized by saturation with professional terminology, brevity of the presentation, standardized form and structuring of the material. A genre is defi ned as a thematically, compositionally, and stylistically established type of messages, united by a number of characteristic repetitive features. The law as a genre is characterized by a set of linguistic and non-linguistic features that are reproduced and repeated in the laws of various types of German law. This concerns the structuring of the text of the law, the repertoire of specifi c designations – articles, paragraphs, paragraphs and sentences, fonts, as well as purely linguistic representation at the lexical and syntactic levels and the specifi city of stylistic devices. Typical syntactic features of the text of German laws are the presence of a large number of verbs, substantives, prepositional groups, modal verbs (können, dürfen, sollen), passive constructions, etc. These linguistic units contribute to the condensation of the text and allow avoiding complex sentences, and clearly convey the modality of permission or prohibition. Other structural features of laws are the productive use of anaphora, defi nitions, and syntactic parallelism, which form a special architecture of the “law” genre and distinguish it from related genres of legal discourse. Possible further research is the analysis of the lexical features of the genre of “law”. Key words: law, genre, offi cial-business functional style, German language, syntax.

Bridging Ideologies in Translation: An Ideological Critical Stylistic Analysis of Yemeni Conflict Discourse

This study investigates how reframing strategies and linguistic aspects are employed to legitimize and normalize ideologically loaded narratives introduced by the Yemeni internationally recognized government (YIRG), with a particular focus on the impact of dominant ideologies and the translator's political and social affiliations on the target texts. Combining frameworks from different fields, the study draws upon Baker's (2006) narrative theory and Jeffrie's (2010) model of critical stylistics to provide a comprehensive understanding of the translation process and its management during conflict. Analyzing English-language materials translated into Arabic, the study utilizes source English materials, including news, reports, and opinions, from Western media outlets. The corresponding Arabic translations are drawn from media belonging to the YIRG. The study concludes that the YIRG's dominant ideology significantly constrains the political translation process during the conflict. This ideology is reflected in the reframing of narratives to align with the adopted ideology, encompassing the repositioning and labeling of participants according to the prevailing ideology. Moreover, textual choices, grammatical and semantic, influence the translator's representation of events, word choice, and pragmatic references to the opposing party through deictic expressions.

Event Transformer+. A multi-purpose solution for efficient event data processing.

Event cameras record sparse illumination changes with high temporal resolution and high dynamic range. Thanks to their sparse recording and low consumption, they are increasingly used in applications such as AR/VR and autonomous driving. Current top-performing methods often ignore specific event-data properties, leading to the development of generic but computationally expensive algorithms, while event-aware methods do not perform as well. We propose Event Transformer+, that improves our seminal work EvT with a refined patch-based event representation and a more robust backbone to achieve more accurate results, while still benefiting from event-data sparsity to increase its efficiency. Additionally, we show how our system can work with different data modalities and propose specific output heads, for event-stream classification (i.e., action recognition) and per-pixel predictions (dense depth estimation). Evaluation results show better performance to the state-of-the-art while requiring minimal computation resources, both on GPU and CPU.

The Role of Agentive and Physical Forces in the Neural Representation of Motion Events.

How does the brain represent information about motion events in relation to agentive and physical forces? In this study, we investigated the neural activity patterns associated with observing animated actions of agents (e.g., an agent hitting a chair) in comparison to similar movements of inanimate objects that were either shaped solely by the physics of the scene (e.g., gravity causing an object to fall down a hill and hit a chair) or initiated by agents (e.g., a visible agent causing an object to hit a chair). Using an fMRI-based multivariate pattern analysis (MVPA), this design allowed testing where in the brain the neural activity patterns associated with motion events change as a function of, or are invariant to, agentive versus physical forces behind them. A total of 29 human participants (nine male) participated in the study. Cross-decoding revealed a shared neural representation of animate and inanimate motion events that is invariant to agentive or physical forces in regions spanning frontoparietal and posterior temporal cortices. In contrast, the right lateral occipitotemporal cortex showed a higher sensitivity to agentive events, while the left dorsal premotor cortex was more sensitive to information about inanimate object events that were solely shaped by the physics of the scene.

Defining Arctic Stratospheric Polar Vortex Intensification Events

AbstractUsing the ERA5 reanalysis data, we identify seven easily calculable indices of the strength of the Arctic stratospheric vortex: zonal winds at 10 hPa and temperature or height anomalies at 10 , 50, and 100 hPa. We then compare the climatological statistics and meteorological properties of strong and weak events based on these indices. We particularly consider the sensitivity of the event statistics to the choice of thresholds, the use of these indices in capturing stratosphere–troposphere coupling, and meteorological conditions relevant to chemical ozone depletion. The frequency, seasonal distribution, and interdecadal variability of strong events is more sensitive to threshold or index choice compared to weak events. Composites of polar‐cap geopotential height anomalies are found to differ significantly based on the choice of index. In particular, height‐based events reveal a strong and immediate barotropic response near the central date due to surface pressure fluctuations, making it more difficult to regard central dates of height‐based events as purely stratospheric in origin. We further characterize the relationship of all indices to conditions relevant to chemical ozone depletion, finding that temperature‐based indices in the lower stratosphere perform best. Finally, we present four dynamical benchmarks used to assess and compare the representation of strong events in climate models. Our results highlight the challenges in determining the optimal definition for strong events and emphasize the implications of different choices, providing valuable insights for guiding future studies in defining strong events.

Event causality identification via graph contrast-based knowledge augmented networks

Identifying causality between events is a crucial research task in natural language processing. However, existing methods either ignore background knowledge of events or do not consider interference of knowledge graph noise on event representations. In this paper, we propose a novel Graph Contrast-based Knowledge Augmented Network (GCKAN) for event causality identification task, which integrates comprehensive background knowledge of events from knowledge graphs and alleviates the knowledge graph noise problem. First, a descriptive knowledge augmentation module is proposed to aggregate one-hop neighbor information in knowledge graphs and learn meaningful descriptive knowledge of events. Then, a relational knowledge augmentation module is designed to encode multi-hop path information and learn latent reasoning knowledge between event pairs. In addition, trustworthiness-based and degree-based graph contrastive learning schemas are devised in the two modules respectively, which suppress knowledge graph noise during information aggregation and derive more robust knowledge-aware event representations. Extensive experiments on three public datasets demonstrate the consistent superiority of GCKAN over state-of-the-art knowledge-based techniques. Noise interference experiments and cross-topic adaptation experiments further verify the robustness and generalization of GCKAN.

Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea

Abstract. In order to facilitate offshore wind farm tenders, Deutscher Wetterdienst (DWD, Germany's national meteorological service) provides reanalysis data and quality assessments to Bundesamt für Seeschifffahrt und Hydrographie (BSH, Federal Maritime and Hydrographic Agency). The regional reanalysis COSMO-REA6 is used besides the global reanalysis ERA5. New reanalyses and derived products getting available are (i) the regional reanalysis CERRA (C3S), (ii) COSMO-R6G2, a successor of COSMO-REA6 which is currently produced by DWD and (iii) HoKliSim-De, a convection-permitting climate simulation for Germany with COSMO-CLM as a regional downscaling of ERA5. In the present study, the quality of the different data sets for offshore wind energy application is compared using in-situ measurements of the wind speed and wind direction from the top anemometer and vane of the FINO1 research platform and satellite-based data of the near-surface wind speed from the Copernicus Marine Environment Monitoring Service (CMEMS) and the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF). Evaluation at FINO1 focuses on the time period prior to the installation of nearby wind farms to avoid wake effects. COSMO-REA6, CERRA and HoKliSim-De show only small biases and resemble the observed distribution of the wind speed at FINO1 whereas ERA5 shows slightly lower values of the wind speed at 100 m. All model-based products tend to slightly underestimate the occurrence of south-westerly wind directions and overestimate wind directions from West to Northwest. Smallest directional biases are analysed for COSMO-REA6. Analysis of the windstorm CHRISTIAN suggests that ensemble information is required for the representation of individual extreme events. Evaluation of the near-surface wind speed using satellite-based data is performed for an area around the German Exclusive Economic Zone (EEZ) of the North Sea. The median bias of ERA5 and COSMO-REA6 is close to zero. CERRA shows a systematic overestimation of the near-surface wind speed compared to the satellite-based reference datasets. By contrast, a slight underestimation is analysed for HoKliSim-De. The bias distribution analysed for a first simulation stream of COSMO-R6G2 is similar to COSMO-REA6 which provides initial indication for the applicability of the new product.

Neuromorphic imaging and classification with graph learning

Bio-inspired neuromorphic cameras asynchronously record pixel brightness changes and generate sparse event streams. They can capture dynamic scenes with little motion blur and more details in extreme illumination conditions. Due to the multidimensional address-event structure, most existing vision algorithms cannot properly handle asynchronous event streams. While several event representations and processing methods have been developed to address such an issue, they are typically driven by a large number of events, leading to substantial overheads in runtime and memory. In this paper, we propose a new graph representation of the event data and couple it with a Graph Transformer to perform accurate neuromorphic classification. Extensive experiments show that our approach leads to better results and excels at the challenging realistic situations where only a small number of events and limited computational resources are available, paving the way for neuromorphic applications embedded into mobile facilities.

Медийная картина мира как объект научного описания

The purpose of the article is to consider the formation, development and modern approaches to the study of one of the key concepts for media research — the media picture of the world. The relevance of the study is due to the growing influence of media representation of events formed by the media with the help of linguomedia construction technologies on public consciousness and behavior. The study of the media picture of the world as an object of scientific description is based on an integrative approach,
 including its consideration in a historical perspective, analysis of various approaches to definition, as well as a review of modern theories and methods of study. Particular attention is paid to the historical and philosophical roots of the modern interpretation of the concept of “media picture of the world”, domestic research in this area, as well as methods of modeling the modern media picture of the world, which allows us to analyze the processes of formation of media images in dynamics. As a result of the study, the key properties of the media picture of the world are highlighted, such as:the media picture of the world is an open nonlinear dynamic system that has both a holistic and mosaic character; The media picture of the world,formed by national media, reflects and reproduces the sociocultural specifics of a certain civilizational community and region.