Representation Of Events Research Articles

A Syntactic Analysis of Headlines in English Advertisements

Advertisements are a significant form of media text in human existence since they provide a variety of local, national, and worldwide news and events. Journalists intentionally use as much ambiguity and confusion in their headlines as possible to draw readers in and pique their Curiosity about the story's overall meaning. Furthermore, different reporters will use different language.choices—words, expressions, and linguistic structures—when reporting the facts or events. In order to create distinct language representations of global events, this research examines the many linguistic decisions and structures used in the headlines of the advertisements in English language.

478 Single-Neuron and Columnar Computations in the Human Prefrontal Cortex Underlying Transformations From Conscious Visual Perception to Speech Production

INTRODUCTION: The basic functional unit of the mammalian neocortex is the cortical column. It consists of a vast diversity of circuit elements and interconnected layers supporting a range of computations for cognitive functions. While much progress has been made in our understanding of its functional architecture in animal models, its role in complex, uniquely human cognitive processes remain unknown. METHODS: We utilized a new columnar recording approach in humans participating of cognitive tasks, while undergoing awake neurosurgical procedures. The novelty of this approach hinged on utilizing state-of-the-art Neuropixels probes for our recordings, a silicon-based electrophysiology recording electrodes with high channel count and recording site density. This technology allows us to measure neural activity with single cell resolution throughout the neocortical column and its layers, and at a scale that is far beyond the capabilities of current clinically-approved devices. The participants performed a naturalistic visual priming-based sentence production task that provided them with pictorial representations of events that had to be articulated in specific form and order. RESULTS: We observed distinct spatiotemporal activity dynamics throughout the cortical column in the language-dominant prefrontal cortex that encoded a preparatory mode for speech generation, as well as visual perception and sentence construction processing stages during natural speech. Furthermore, we observed the emergence of this columnar activity pattern with optimal visual inspection of presented images (by high resolution eye and pupil tracking) and associated improved performance during the task. CONCLUSIONS: These results highlight a functional organization of the cortical column in the human prefrontal cortex subserving sensory-motor transformations for visual conscious perception and speech production, with profound implications for future brain machine interfaces that aim to restore complex human cogntive functions.

Attr4Vis: Revisiting Importance of Attribute Classification in Vision-Language Models for Video Recognition

Vision-language models (VLMs), pretrained on expansive datasets containing image-text pairs, have exhibited remarkable transferability across a diverse spectrum of visual tasks. The leveraging of knowledge encoded within these potent VLMs holds significant promise for the advancement of effective video recognition models. A fundamental aspect of pretrained VLMs lies in their ability to establish a crucial bridge between the visual and textual domains. In our pioneering work, we introduce the Attr4Vis framework, dedicated to exploring knowledge transfer between Video and Text modalities to bolster video recognition performance. Central to our contributions is the comprehensive revisitation of Text-to-Video classifier initialization, a critical step that refines the initialization process and streamlines the integration of our framework, particularly within existing Vision-Language Models (VLMs). Furthermore, we emphasize the adoption of dense attribute generation techniques, shedding light on their paramount importance in video analysis. By effectively encoding attribute changes over time, these techniques significantly enhance event representation and recognition within videos. In addition, we introduce an innovative Attribute Enrichment Algorithm aimed at enriching set of attributes by large language models (LLMs) like ChatGPT. Through the seamless integration of these components, Attr4Vis attains a state-of-the-art accuracy of 91.5% on the challenging Kinetics-400 dataset using the InternVideo model.

Comprehension: from clause to conspiracy narrative

ABSTRACT In this article, I outline the evolution of my research in the domain of narrative comprehension. I cover three phases: (1) the event-indexing model, which explores connecting events in narratives; (2) the immersed experiencer framework, which focuses on event representations and mental simulations; and (3) a preliminary exploration of conspiracy thinking, in which I reveal parallels with coherence generation in narrative comprehension. I emphasize the interconnectedness of these domains and call for further investigation into the intricacies of narrative comprehension.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Recent advances in event-based research prioritize sparsity and temporal precision. Approaches learning sparse point-based representations through graph CNNs (GCN) become more popular. Yet, these graph techniques hold lower performance than their frame-based counterpart due to two issues: (i) Biased graph structures that don't properly incorporate varied attributes (such as semantics, and spatial and temporal signals) for each vertex, resulting in inaccurate graph representations. (ii) A shortage of robust pretrained models. Here we solve the first problem by proposing a new event-based GCN (EDGCN), with a dynamic aggregation module to integrate all attributes of vertices adaptively. To address the second problem, we introduce a novel learning framework called cross-representation distillation (CRD), which leverages the dense representation of events as a cross-representation auxiliary to provide additional supervision and prior knowledge for the event graph. This frame-to-graph distillation allows us to benefit from the large-scale priors provided by CNNs while still retaining the advantages of graph-based models. Extensive experiments show our model and learning framework are effective and generalize well across multiple vision tasks.

Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)

The proliferation of social media exacerbates information fragmentation, posing challenges to understanding public events. We address the problem of event reconstruction with a novel Multi-view Contrast Event Reconstruction (MCER) model. MCER maximizes feature dissimilarity between different views of the same event using contrastive learning, while minimizing mutual information between distinct events. This aggregates fragmented views to reconstruct comprehensive event representations. MCER employs momentum and weight-sharing encoders in a three-tower architecture with supervised contrastive loss for multi-view representation learning. Due to the scarcity of multi-view public datasets, we construct a new Mul-view-data benchmark.Experiments demonstrate MCER’s superior performance on public data and our Mul-view-data, significantly outperforming selfsupervised methods by incorporating supervised contrastive techniques. MCER advances multi-view representation learning to counter information fragmentation and enable robust event understanding.

Making events: How anticipatory infrastructures produce shared temporalities

Anticipatory infrastructures assemble sensors that are ready to detect, networks primed to share data, scientists prepared to confirm events, and news organizations poised to tell stories. This article explains how public time is articulated through sensor-mediated communications by examining two anticipatory infrastructures. Each infrastructure uses similar earthquake data to detect, report on, and convene material publics around earthquakes in Southern California. They are integral to structuring rhythms, coordinating syncronizations, setting deadlines, and making events timely, meaningful, and actionable, yet their governance lives in no one place. Instead, they emerge from an assemblage of sensors, networks, devices, algorithms, people, data, organizations, professional practices, and normative theories of the public. By comparing two different anticipatory infrastructures, we show how imagined publics, forms of journalistic storytelling, representations of earthquake events, and system maintenance can convene different public temporalities. We identify four dynamics involved in making these variable temporalities in material publics: how human-machine relations organize time, how professional norms of timeliness collide, how publics are anticipated by infrastructures, and how sensor infrastructures are maintained or decay over time.

Systematically tracking the hourly progression of large wildfires using GOES satellite observations

Abstract. In the western United States, prolonged drought, a warming climate, and historical fuel buildup have contributed to larger and more intense wildfires as well as to longer fire seasons. As these costly wildfires become more common, new tools and methods are essential for improving our understanding of the evolution of fires and how extreme weather conditions, including heat waves, windstorms, droughts, and varying levels of active-fire suppression, influence fire spread. Here, we develop the Geostationary Operational Environmental Satellites (GOES)-Observed Fire Event Representation (GOFER) algorithm to derive the hourly fire progression of large wildfires and create a product of hourly fire perimeters, active-fire lines, and fire spread rates. Using GOES-East and GOES-West geostationary satellite detections of active fires, we test the GOFER algorithm on 28 large wildfires in California from 2019 to 2021. The GOFER algorithm includes parameter optimizations for defining the burned-to-unburned boundary and correcting for the parallax effect from elevated terrain. We evaluate GOFER perimeters using 12 h data from the Visible Infrared Imaging Radiometer Suite (VIIRS)-derived Fire Event Data Suite (FEDS) and final fire perimeters from the California's Fire and Resource Assessment Program (FRAP). Although the GOES imagery used to derive GOFER has a coarser resolution (2 km at the Equator), the final fire perimeters from GOFER correspond reasonably well to those obtained from FRAP, with a mean Intersection-over-Union (IoU) of 0.77, in comparison to 0.83 between FEDS and FRAP; the IoU indicates the area of overlap over the area of the union relative to the reference perimeters, in which 0 is no agreement and 1 is perfect agreement. GOFER fills a key temporal gap present in other fire tracking products that rely on low-Earth-orbit imagery, where perimeters are available at intervals of 12 h or longer or at ad hoc intervals from aircraft overflights. This is particularly relevant when a fire spreads rapidly, such as at maximum hourly spread rates of over 5 km h−1. Our GOFER algorithm for deriving the hourly fire progression using GOES can be applied to large wildfires across North and South America and reveals considerable variability in the rates of fire spread on diurnal timescales. The resulting GOFER product has a broad set of potential applications, including the development of predictive models for fire spread and the improvement of atmospheric transport models for surface smoke estimates. The resulting GOFER product has a broad set of potential applications, including the development of predictive models for fire spread and the improvement of atmospheric transport models for surface smoke estimates (https://doi.org/10.5281/zenodo.8327264, Liu et al., 2023).

Traits linked to sensory processing sensitivity mediate the relationship between externally oriented thinking and fantasizing.

Alexithymia is characterized by difficulties identifying and describing feelings but expression of externally oriented thinking (EOT) and difficulty fantasizing is more variable. In two studies, we investigated whether links between EOT and fantasizing are mediated by sensory processing sensitivity (SPS). University students completed measures of alexithymia, SPS, and fantasizing. In Study 1 (N = 700) we identified two clusters of SPS traits: a positive facet (sensitivity to subtle stimuli) and a negative facet (sensitivity to uncomfortable stimuli). In the 499 participants who completed the fantasy measure, low EOT scores predicted stronger SPS positive and negative traits, which predicted a stronger tendency to mentally project oneself into the lives of characters in books, movies, and plays. In Study 2 (N = 600), the link between EOT and this same fantasizing tendency was again mediated by features of SPS-in this case fantasy proneness and emotional reactivity. We suggest that, whereas individuals who score high on EOT have an impoverished fantasy life, those who score relatively low on EOT and turn their attention inward are able to maintain stronger representations of imagined events in working memory (enhancing the likelihood that they will be recalled) and react more strongly to these events (enhancing their salience). Stronger expression of these features of SPS, in turn, increases the likelihood that one will develop a cognitive style that involves the application of imagery-based strategies to support deep processing of the thoughts and feelings of characters depicted in narratives.

Separated hands further response–response binding effects

Action control is hierarchically organized. Multiple consecutive responses can be integrated into an event representation of higher order and can retrieve each other upon repetition, resulting in so-called response–response binding effects. Previous research indicates that the spatial separation of responses can affect how easily they can be cognitively separated. In this study, we introduced a barrier between the responding hands to investigate whether the spatial separation of two responses also influences response–response binding effects. In line with previous research on stimulus–response binding, we expected an increased separability of responses to result in stronger response–response binding effects when responding hands were separated by a barrier. We indeed found stronger response–response binding effects with separated hands. Results indicate that a more distinct representation of individual actions through increased separability might benefit the control of hierarchical actions.

Event-Management in Socio-Cultural Space: Analysis of the Life-Cycle Stages Conceptions According to the Modern Conditions

Relevance. Modern management practice increasingly considerate behavioral aspects, including features of decision-making, influence of impressions. This gives special significance to those areas allowing to combine both components. So then special events are gaining interest. The purpose is to identify the appropriate approach to life cycle of the technological process in event-management development. Objectives: systematize and comparatively analyze existing concepts, identify key factors influencing the feasibility of these, formulate a concept that makes it possible to increase the effectiveness of events in terms of providing targeted impact. Methodology includes comparative and system analysis. Synthesis makes it possible to single out optimal for modern conditions approach. Results. Systematizes and analyzes the existing approaches to determining the stages of the life cycle in event-management. The author classifies the existing concepts into short-term and long-term ones, differing in the composition of the management system and the features of its relations. Formulates two approaches to indicate event management system actors. Based on the importance of informative and social factors, the specifics of event management correlation with social factors during the life circle unvailes. Conclusions. Many of existing approaches overlook the influence of self-organizational processes in the controlled subsystem (visitors) on the final impact. The author proposes an integrative life cycle model with factors previously ignored: the influence of reference groups (including online communities), event representation in digital environment.

HistoriView: Implementation and Evaluation of a Novel Approach to Review a Patient Using a Scalable Space-Efficient Timeline without Zoom Interactions.

Timelines have been used for patient review. While maintaining a compact overview is important, merged event representations caused by the intricate and voluminous patient data bring event recognition, access ambiguity, and inefficient interaction problems. Handling large patient data efficiently is another challenge. This study aims to develop a scalable, efficient timeline to enhance patient review for research purposes. The focus is on addressing the challenges presented by the intricate and voluminous patient data. We propose a high-throughput, space-efficient HistoriView timeline for an individual patient. For a compact overview, it uses nonstacking event representation. An overlay detection algorithm, y-shift visualization, and popup-based interaction facilitate comprehensive analysis of overlapping datasets. An i2b2 HistoriView plugin was deployed, using split query and event reduction approaches, delivering the entire history efficiently without losing information. For evaluation, 11 participants completed a usability survey and a preference survey, followed by qualitative feedback. To evaluate scalability, 100 randomly selected patients over 60 years old were tested on the plugin and were compared with a baseline visualization. Most participants found that HistoriView was easy to use and learn and delivered information clearly without zooming. All preferred HistoriView over a stacked timeline. They expressed satisfaction on display, ease of learning and use, and efficiency. However, challenges and suggestions for improvement were also identified. In the performance test, the largest patient had 32,630 records, which exceeds the baseline limit. HistoriView reduced it to 2,019 visual artifacts. All patients were pulled and visualized within 45.40 seconds. Visualization took less than 3 seconds for all. HistoriView allows complete data exploration without exhaustive interactions in a compact overview. It is useful for dense data or iterative comparisons. However, issues in exploring subconcept records were reported. HistoriView handles large patient data preserving original information in a reasonable time.

Splitting Into "Us and Them" in Bulgaria: Examples of Repeated Collective Defense Mechanisms During Social Unrest—a Compulsion to Repeat

Abstract: The article explains the concept of splitting as a group's defense mechanism that becomes repeatable observed action during social unrest. Using two examples of protests that demonstrate counterproductive repetitions of mental interpretation, the article explains how splitting reinforces the cognitive formation of "us and them," which becomes a polarized stance of "friends and enemies." It also contributes to the area of large-group psychology by explaining a group's compulsion to repeat. The examples from Bulgaria present mental and behavioral similarities that lead to three questions: (a) if repeated cycles from history can be considered as compulsion to repeat rather than unlearned lessons, (b) if so-what explains it, and (c) if events interpreted and experienced in the same way can explain a collective compulsion to repeat over a period of time. The article uses Vamik Volkan' s theory of "us and them" supported by Carl Schmitt's "friends and enemies." Both explain how a group forms a mental representation of events through splitting that manifests as a form of street violence. Furthermore, Melanie Klein's concept of the paranoid-schizoid position is applied to a large group when explaining the reasons why splitting occurs in the first place. The exploration of the two examples demonstrates that a large group can unconsciously repeat their mental interpretations and perform identical collective behavior as a defense operation during the same pressurized social situations.

LITERARY REFLECTION OF THE WAR IN THE WINNING WORKS OF THE CONTEST “HEROIC NATION CREATES HEROES” : GENRE AND STYLE FEATURES

The paper deals with the genre features and stylistic trends of short prose texts presented at the Open Patriotic Festival-Contest in Kyiv Borys Hrinchenko University (June 2022). The aim is to understand the artistic features of the works by young Ukrainian authors written after February 24, 2022. The dominance of short genres is determined by the fragmentation of the world picture and the awareness of the gap between the past and the present. At the same time, the paper pays due attention to the actualization of mythological thinking based on the understanding of the metaphysical nature of war.
 The genre of the literary diary is undergoing a process of hybridization. The factual nature of diary entries often interacts with the genre forms of interviews, reports, and various structural modifications of the short story. The stylistic, topical, and compositional variability of the short story is examined within the context of the significant literary tradition established by Ukrainian modernism, while noticeable neo-realist and neo-populist tendencies shape the authors' pictures of the world as well. For modern authors, the relevance of populism and realism as literary systems is explained by the need for a trustworthy representation of the war events and the development of plot models that are familiar and understandable to a wide range of readers. The paper also explores ways of updating the genres of parable and vision, with which the short story actively interacts. The fantasy genre is interpreted from the perspective of postcolonial criticism. The world of fantasy, based on neo-mythological thinking, actualizes important existential problems of memory, national identity, and resentment in the modern context. Resentment as a natural reaction to the actions of the enslaver reveals its constructive nature, awakening the will to fight and win.

The Interaction of Linguistic and Visual Cues for the Processing of Case in Russian by Russian-German Bilinguals: An Eye Tracking Study.

Modulation of visual attention in the Visual World Paradigm relies on parallel processing of linguistic and visual information. Previous studies have argued that the human linguistic capacity includes an aspect of anticipation of upcoming material. Such anticipation can be triggered by both lexical and grammatical/morphosyntactic cues. In this study, we investigated the relationship between comprehension and prediction by testing how subtle changes in visual representations can affect the processing of grammatical case cues in Russian by Russian-German bilingual children (n = 49, age 8-13). The linguistic manipulation followed previous designs, contrasting SVO and OVS sentences, where the first NP (NP1) was marked with nominative or accusative case, respectively. Three types of visual displays were compared: (i) individual referents (potential agent/theme); (ii) pairs of referents (NP1 + potential agent/theme); and (iii) events (representing interactions between the referents). Participants were significantly more sensitive to the case manipulation when presented with events compared to the other two types of visual display. This suggests that they were able to quickly integrate the thematic role information signaled by grammatical case in the event representations. However, they were less likely to use the case information to anticipate upcoming arguments when the target pictures represented individual referents or pairs of noninteracting referents. We hypothesize that the process of argument anticipation is mediated by the activation of syntactic templates (SVO or OSV, depending on the case marking on NP1). The relatively weak anticipation effect observed may be attributed to the absence, or weak representation, of the noncanonical OVS template in the bilingual children's long-term memory.

Open‐domain event schema induction via weighted attentive hypergraph neural network

SummaryEvent schema refers to the use of a template to depict similar events, and it is a necessary prerequisite for event causality extractions. The induction of event schemas is a difficult task, especially for texts in the open domain, due to the complex and diverse manifestations of events. Previous models considered participants in event mentions are independent or compositional, ignoring the high‐order correlations among participants, which limit their capability of induce event schema. To remedy this, we propose constructing an Event Structure Hypergraph (ESH) to better utilizes the event structural information for event schema induction. In particular, we first extract event mentions from the open‐domain corpus. and then construct an ESH by representing event mentions as a hyperedges. ESH contains high‐order information between participants in event mention. To, learn event mentions representation based on ESH, we propose a weighted attentive hypergraph neural network (WHGNN) to model event high‐order correlations and then integrate node‐category weight matrix into the training of network by improving event representation. By applying jointly cluster algorithm on the event mentions representation, we can induce reliable event schemas. Experimental results on three datasets demonstrate that our approach can induce salient and high‐quality event schemas on open‐domain corpus.

Beyond good and evil: imagined nation in Hindi films

ABSTRACT The influence of Indian films on popular culture and the influence of dominant political ideology on Indian films are interspersed with dialectical variations. Although a binary representation of these subtleties remains elusive, while promoting ideological superstructures in society, ‘the relatively mixed, confused, incomplete, or inarticulate consciousness' is replaced with a ‘generalised system'. In practice, the tendencies governing public emotions during moments of crisis are employed as tropes in Bollywood films. However, the ontology of political underpinnings and subversive ideological possibilities that enmesh lived experiences remain smothered by an unproblematic representation of historical events. With this rationale, the paper analyses three Bollywood films Panipat (2019), Tanhaji (2020) and Samrat Prithviraj (2022). These films seem to auger the idea of Dharma and Ramrajya in the construction of a Nation catering to the populist notion of a safe and secure nation under just Hindu rule. The paper argues that these films cater to the framework of historiography promulgated by the colonial historians on one hand; and function as a contrapuntal response to the ideological moorings of the leaders of the All-India Muslim League. This objective is achieved by a stereotypical and binary projection of good and evil by glossing over the ‘mixed consciousness’.

Dynamical downscaling of CMIP6 scenarios with ENEA-REG: an impact-oriented application for the Med-CORDEX region

In the framework of the coordinated regional modeling initiative Med-CORDEX (Coordinated Regional Climate Downscaling Experiment), we present an updated version of the regional Earth System Model ENEA-REG designed to downscale, over the Mediterranean basin, the models used in the Coupled Model Intercomparison Project phase 6 (CMIP6). The regional ESM includes coupled atmosphere (WRF), ocean (MITgcm), land (Noah-MP, embedded within WRF), and river (HD) components with spatial resolution of 12 km for the atmosphere, 1/12° for the ocean and 0.5° for the river rooting model. For the present climate, we performed a hindcast (i.e. reanalysis-driven) and a historical simulation (GCM-driven) over the 1980–2014 temporal period. The evaluation shows that the regional ESM reliably reproduces the mean state, spatial and temporal variability of the relevant atmospheric and ocean variables. In addition, we analyze the future evolution (2015–2100) of the Euro-Mediterranean climate under three different scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5), focusing on several relevant essential climate variables and climate indicators for impacts. Among others, results highlight how, for the scenarios SSP2-4.5 and SSP5-8.5, the intensity, frequency and duration of marine heat waves continue to increase until the end of the century and anomalies of up to 2 °C, which are considered extreme at the beginning of this century, will be so frequent to become the norm in less than a hundred years under the SSP5-8.5 scenario. Overall, our results demonstrate the improvement due to the high-resolution air–sea coupling for the representation of high impact events, such as marine heat waves, and sea-level height.

The Orientation of Evidentials in Attitude Contexts: A Case Study Based on Narratives in Paraguayan Guarani

This paper examines the orientation of evidentials in complements of attitude verbs, with Paraguayan Guarani evidential ra’e as a case study. It argues that embedded evidentials can be directed either towards the speaker or towards a matrix attitude-holder argument (e.g., the subject of the attitude verb) and that a syntactic representation of the evidence-acquisition event, with its pronominal subject, in the lower end of the CP field, is well-poised to capture this potential ambiguity. Language-particular properties can also play a determining role in the orientation of the embedded evidential, as is the case of the subordinator ha in Paraguayan Guarani. It is argued that this subordinator requires the presence of a Complementizer specified with a (strong) Modal component (which encodes certainty/commitment on the part of the attitude holder with respect to the embedded proposition) and that this property biases the orientation of ra’e towards the matrix attitude-holder argument.

Business and Visualization

In present days higher education institutions should be introducing new approaches to teaching, providing the opportunity for students to develop their professional, communicative and creative skills. In the conditions of the global economy, the main task of universities is to prepare a generation of professionals who will be able to manage the transformed world and the permanent changes that are going on there. That is why universities should take seriously the preparation of professionals of new formation, especially in the fields of management, world economy, and international business, so that university graduates can adapt to the changing world. Visualization is one of the effective tools in this direction. Visualization (Lat. visualis) is a technique of representation of digital information or physical events, which allows for their visual observation and analysis in a convenient form. To some extent, this enables us to experience indirectly the outcome we want to achieve. Keywords: visualization, video training, video cases, videotapes of illustrative and thematic content, foresight.