Characters Of Representations Research Articles

Virtual Crowds Rheology: Evaluating the Effect of Character Representation on User Locomotion in Crowds.

Crowd data is a crucial element in the modeling of collective behaviors, and opens the way to simulation for their study or prediction. Given the difficulty of acquiring such data, virtual reality is useful for simplifying experimental processes and opening up new experimental opportunities. This comes at the cost of the need to assess the biases introduced by the use of this technology. Our paper is part of this effort, and investigates the effect of the graphical representation of a crowd on the behavior of a user immersed within. More specifically, we inspect the virtual navigation through virtual crowds, in terms of travel speeds and local navigation choices as a function of the visual representation of the virtual agents that make up the crowd (simple geometric model, anthropomorphic model or realistic model). Through an experiment in which we ask a user to navigate virtual crowds of varying densities, we show that the effect of the visual representation is limited, but that an anthropomorphic representation offers the best trade-off between computational complexity and ecological validity, even though a more realistic representation can be preferred when user behaviour is studied in more details. Our work leads to clear recommendations on the design of immersive simulations for the study of crowd behavior.

Using Illustrated Children’s Book to Strength Fracted / Cracks Identity of (the Israeli) Children

Illustrations in children's books serve as powerful aesthetic devices to address complex emotions and ideologies, particularly in war-torn regions. These visual narratives act as catalysts for moral, value-based, and political discussions, offering a wordless medium that invites diverse interpretations based on the observer's perspective. This approach creates an open dialogue where there are no absolute right or wrong answers. Children's literature, through its illustrations, becomes a significant agent of socialization. These books impart cultural values, ideological concepts, and political behavior patterns, functioning as tools for establishing culturally responsive pedagogy. The images discussed, while originating from Israeli children's books predating the 2023 conflict, possess a timeless and universal quality that transcends their immediate context. Illustrations in children's books can either complement or diverge from the accompanying text, offering varying degrees of precision or poetic license. They carry cultural connotations that encompass symbols, traditions, beliefs, behaviors, and values unique to a particular society, conveying information beyond the apparent narrative. The inherent power of illustration lies in its ability to communicate directly with young children, often without the need for adult mediation. In preschool literature, illustrations serve multiple functions: they parallel written words, demonstrate abstract concepts, provide concrete representations of characters and settings, emphasize or contradict textual elements, and expand the narrative through visual elements not present in the text. Moreover, illustrations possess a psychological-therapeutic function, contributing to indirect treatment techniques. Like all visual representations, they embody simplified messages and shape recognition, conveyed formally and tangibly, with each element having both conscious and unconscious effects on the Therapeutic visual qualities in illustrated books aim to capture emotional nuances, intensify expressions of feeling, and convey concepts that may be challenging to express verbally. This is achieved through original solutions such as symbolism and creative visual metaphors. In conclusion, illustrations in children's books, particularly those addressing complex themes like war and fear, offer a unique and powerful medium for fostering understanding, encouraging dialogue, and providing emotional support. Their ability to transcend linguistic and cultural barriers makes them invaluable tools in shaping young minds and addressing challenging societal issues.

Word length and frequency effects in natural Chinese reading: Evidence for character representations in lexical identification.

Word length and frequency are two of the "big three" factors that affect eye movements in natural reading. Although these factors have been extensively investigated, all previous studies manipulating word length have been confounded with changes in visual complexity (longer words have more letters and are more visually complex). We controlled stroke complexity across one-character (short) and two-character (long) high- and low-frequency Chinese words (to avoid complexity confounds) and recorded readers' eye movements during sentence reading. Both word length and frequency yielded strong main effects for fixation time measures. For saccadic targeting and skipping probability, word length effects, but not word frequency effects, occurred. Critically, the interaction was not significant regardless of stroke complexity, indicating that word length and frequency independently influence lexical identification and saccade target selection during Chinese reading. The results provide evidence for character-level representations during Chinese word recognition in natural reading.

Women characters in the text Sekaśubhodayā: A Cosmopolitan voice of Moral and Ethical Values

“Social organization cannot be really understood expect as a part of culture; and all special lines of enquiring referring to human activities, human groupings and human ideas and beliefs can meet and become cross fertilized in the comparative study of cultures” Values, Morality and Ethics – this try polar system i.e. (the sense of righteous) are the epitome of Human existence. Although it is differ from man to man. In the present century search for a theory of values has become a separate branch and has been called axiology. According to our opinion the main approach to value system comprises two parts i.e. theistic and humanistic. Theistic approach opines that absolute values are related to absolute reality where the supreme power is the upholder of all values. Whereas, humanistic holds that the values are as a distinct component of the total human personality, which guide or affect attitude and behaviour of the individual and social groups. The text we are dealing here is entitled with Sekaśubhodayā; is a hagiological literature which attributed to Halāyudha Miśra. The blending of Sanskrit and Bengali makes the text unique. Political discrepancy, social and moral degeneration, adultery and mutual rivalry projected boldly without much pretention. Although the text is a pen picture of decadent Medieval Bengal, still a handful of Women excels in their own merit and retains the morality that is equally relevant even in 21st century. The position of women in Medieval Bengal, especially of the house-wives of well-to-do families, as reflected in this story is somewhat unparalleled in Sanskrit literature. This text predicts as a unique collection in the genre of Sanskrit literature because of its sharp representation of women characters. Characters like Madhavī, Vidhutprabhā taught us a lesson that the concept of Satyam, Śivam and Sundaram is the beauty of human nature if we violate one another one automatically disturbed. Our endeavor is to reevaluate this value system in our life which is still relevant.

Rational noncrossing Coxeter–Catalan combinatorics

AbstractWe solve two open problems in Coxeter–Catalan combinatorics. First, we introduce a family of rational noncrossing objects for any finite Coxeter group, using the combinatorics of distinguished subwords. Second, we give a type‐uniform proof that these noncrossing Catalan objects are counted by the rational Coxeter–Catalan number, using the character theory of the associated Hecke algebra and the properties of Lusztig's exotic Fourier transform. We solve the same problems for rational noncrossing parking objects.

Depiction of Woman in Heer Waris Shah

In every folktale characters hold a significant place because they are not confined to describing or fantasizing the love relations but they reflect the collective social behaviors of the concerned society. Waris Shah portrays Punjabi culture in his classic Heer Ranjha and elaborates on the internal social system and every character of the tale represents the core realities of society. The present study is to highlight the intellectual, symbolic, social, and cultural representation of female characters in Heer Waris Shah.

Landscape between Representation and Performativity

This article explores the concept of landscape through the lens of performativity, challenging the traditional visual-centric understanding rooted in Western art and culture but without denying the visual and representational character of landscape. It examines the evolution of landscape representation, from its origins in linear perspective and Cartesian dualism to contemporary approaches that integrate performative practices. The analysis highlights the dialectical tension between visual representation and immersive, multisensory experiences, arguing for a more integrated view that acknowledges the performative aspects of the visual. By re-evaluating the role of distance, vision, and representation, the article advocates for a nuanced understanding of landscape that balances the visual with embodied practices, ultimately proposing that landscape should be seen as a dynamic interplay between seeing and performing.

Representasi Karakter Alpha Female Dalam Drama Korea Queenmaker

Korean dramas or (Drakor) have become a global phenomenon, gaining widespread popularity around the world. They are recognized not only as entertainment but also as complex reflections of social dynamics. The presence of Alpha Female characters in Drakor signifies support for gender equality and indicates societal shifts in views on women's roles in various aspects of life. This study aims to understand the representation of Alpha Female characters in the Korean drama Queenmaker hoping to gain new insights into societal perceptions of women beyond the domestic sphere. Using a qualitative approach and Charles Sanders Peirce's semiotic analysis, the research found that Alpha Female characters exhibit leadership, confidence, and strength in facing challenges. From Peirce's perspective, these characters become important symbols that reinforce women's roles in fighting injustice and advocating for moral values. The findings underscore that Drakor is not just entertainment, but also a mirror of social realities that significantly influence perceptions of gender equality, expanding our understanding of women's roles in popular culture and the importance of gender equality in society.

2D/3D Expression Generation Using Advanced Learning Techniques and the Emotion Wheel

Facial expression analysis is a critical component in numerous applications, ranging from human- computer interaction to digital character animation. Despite the availability of extensive datasets, most focus predominantly on basic emotions, limiting the expressiveness and applicability of models trained on them. This article introduces a novel approach to generating compound emotional expressions by leveraging the Emotion Wheel, a principle that captures the complex interrelations between basic emotions. Our method integrates the EMOCA (Emotion Driven Monocular Face Capture and Animation) [1] framework, which enhances 3D facial reconstruction by incorporating emotion recognition, stacking models [2, 54] with a sophisticated expression blending algorithm to synthesize nuanced 2D and 3D facial animations. Utilizing the VKIST dataset, which includes high-resolution facial images of Vietnamese individuals, we build a comprehensive database of emotion parameters. Through principal component analysis (PCA) and correlation-driven blending, our approach not only enhances the realism of generated facial expressions but also preserves the subtle nuances that are characteristic of human emotions. Experimental results demonstrate that our method consistently outperforms traditional linear interpolation techniques, producing more distinct and recognizable blended expressions. A user study further validates the naturalness and quality of the generated expressions, with average ratings indicating a strong preference for the proposed method over existing approaches. These findings suggest significant potential for improving emotional expressiveness in both static and dynamic digital character representations.

Penguatan Pendidikan Karakter pada Generasi Muda Melalui Personifikasi Karakter Pandawa dalam Wayang Kulit

The main problem discussed in this research is the negative impact of modernization which has the potential to damage the character of Indonesia's young generation. This research aims to explore the potential for character education through the application of Pandawa character personification in the traditional art of Wayang kulit. The method used is descriptive qualitative, by analyzing the representation of the Pandawa characters in Shadow Puppets and the values ​​contained therein. Research findings show that Wayang kulit not only maintains local wisdom values, but also carries moral messages and character values ​​that can be adopted by the younger generation. The personification of the Pandawa character highlights positive traits such as courage, loyalty and leadership, which are relevant to character education. The conclusion of this research is that Shadow Puppetry can be an effective tool for strengthening the character of the younger generation, while maintaining Indonesia's cultural heritage. The application of the results of this research can be the basis for developing a culture-based character education program, which is expected to produce a young generation who are responsible and have noble values.

Analisis Isi Konten Instagram @Prabowo dalam Membangun Citra pada Pemilihan Presiden 2024

This research aims to examine how the Instagram account @prabowo developed a strong character during the presidential era using character theory. A qualitative approach involving content analysis was used to evaluate the textual and visual elements in the analyzed Instagram posts. The findings of this study indicate that the main theme of the content is "strong leadership", which is conveyed through graphic and textual components. Textual elements, such as captions, highlight Prabowo's dedication to important issues such as national development and preventing corruption. The depiction of leadership integrity is achieved through the use of firm words and expressions. Analysis of visual elements shows that the use of beige and dark brown helps convey stability and trust. Prabowo is depicted as a patriotic leader who is close to the people, shown through backgrounds that display interactions with society and national symbols. Her confident and assertive demeanor, as well as her professional yet approachable demeanor, reduces feelings of peer pressure. Effective communication strategies involve emphasizing individuality, engagement with the community, incorporation of national symbols, and the use of striking imagery. This approach succeeds in building a strong and trustworthy image. This study highlights the important role of social media in political campaigns and the need for consistent textual and visual elements to convey key messages effectively. These findings are useful for social media practice, political campaign strategy, and political communication research.

Pembentukan Karakter Peserta Didik melalui Penguatan Kompetensi PPKn: Studi Kasus di SMAS GKPI Padang Bulan

This research aims to determine whether strengthening PPKn competencies can shape the character of students at SMAS GKPI Padang Bulan Medan. The character theory used as a reference is according to expert Thomas Licona who divides character education into 3 aspects, namely; knowledge (Moral Knowledge), emotions (Moral Feeling), and actions (Moral Action). This research uses quantitative descriptive methods. The research implementation time is approximately one month, namely April 17 to May 18 2024. Data collection techniques were carried out using observation, interviews and documentation. The data collection instruments used in this research were Likert Scale questionnaires and open questionnaires. The research subjects were determined based on samples selected using purposive sampling techniques, namely class X-3 students and 3 PPKn teachers. The type of data in this research uses primary and secondary data. The data analysis technique used is simple descriptive statistics, namely table analysis and percentages P= F/N x 100%, with categories 0-69% (Low), 70-89% (Medium), 90-100% (High) calculated based on the provisions of the Likert Scale score. The research results show that the character of the students there is categorized as "Medium" because the average score is above 70%. And this has an impact because of the strengthening of PPKn competencies carried out by teachers, namely with the methods, approaches and attitudes shown during teaching and learning activities.

Gender in revelations: Unraveling gendered struggles and revisiting the construction of cultural identity paradigms in Badriyah Al-Bishr's Hend Wa alʿaskar (2006)

This article attempts to explore the intricate workings of gender dynamics in Badriyah Al-Bishr's Hend wa alʿaskar (2006). It investigates how the author challenges traditional gender norms through the representation of female characters who strive for liberation. Al-Bishr lays bare the complexities of gender roles within the Saudi Arabian context. Viewed from the lens of narrative perspective, her text reveals the silenced tales of women on the quest for agency and identity. Through vivid storytelling and rich character narrativization that builds on the stream of consciousness, flashback, anticipation, and disruptive temporality, Al-Bishr crafts a compelling narrative of women's revelations within a patriarchal setting. Drawing on cultural discourse analysis, and feminist social epistemology, the reading of Hend wa alʿaskar attempts to offer a nuanced exploration of how gender, power, and resistance intersect and coalesce together to produce a thought-provoking narrative about the contemporary Saudi Arabian context. The complexities of women's tales intricately weave an ambivalent knot of discourses within the narrative, enriching its depth and challenging conventional interpretations.

SPEAKING BODIES, VISIBLE VOICES: NARRATIVE TENSION IN COPPOLA’S APOCALYPSE NOW: REDUX (2001)

Francis Ford Coppola’s Apocalypse Now: Redux (2001), a 2001 re-release of his 1979 Vietnam War epic, sparked significant discussions among both academic scholars and mainstream media. The extended version, which features almost an hour-long addition of new scenes, challenged the question of the film’s continued relevance within the evolving Hollywood industry. While the original version may have highlighted the horror and dehumanization of the Vietnam War, it was also criticized for depicting women as one-dimensional sexual objects and effectively silencing their voices. However, by utilizing Verstraten’s notion of filmic narrative, Mulvey’s visual pleasure, and Stark’s narrative voicelessness, this research aims to show how narrative tension is displayed in Apocalypse Now: Redux and how it highlights the representation of the female characters’ subjectivity. We argue that the Redux version offers a notable difference from the stereotypical portrayal of women in war film. By incorporating the newly added scenes, Apocalypse Now: Redux provides the female characters with more agency and individuality, allowing them to move beyond the limitation of being mere decorations.

Complex TV and complex feminism: Laure Berthaud and co. in Engrenages/Spiral

ABSTRACT The long-running French detective series Engrenages/Spiral (2005–2020) anticipates and participates in the changing ecosystem of French TV, one that transnationalises and hybridises content in a global marketplace. Laure Berthaud (Caroline Proust) is one of many female detectives who emerge in this era. Through carefully crafting realist settings for its convoluted narratives, Engrenages enmeshes Berthaud into a professional web of dependency and rivalry, working not only with fellow detectives but also magistrate François Roban (Philippe Duclos) and lawyer Joséphine Karlsson (Audrey Fleurot). Berthaud and Karlsson are representative of considerable feminist influence in French popular culture in its representation of female characters in profes sional roles. However, in S06 they both undergo experiences which pit their female embodiment against their professional success. The series thus both celebrates and punishes its female protagonists for their transgressions, echoing and constituting the complex position of feminism in French popular culture. Roban’s brain tumour diagnosis during this season furthers its critical stance on the French justice system and its inability to truly account for human vulnerability in its myth of the autonomous French citizen.

DPGS: Cross-cooperation guided dynamic points generation for scene text spotting

End-to-end text spotting aims to combine scene text detection and recognition into a unified framework. Dealing with the relationship between the two sub-tasks plays a pivotal role in designing effective spotters. While polygon or segmentation-based methods eliminate heuristic post-processing, they still face challenges such as background noise and high computational burden. In this study, we introduce DPGS, a coarse-to-fine learning framework that lets Dynamic Points Generation for text Spotting. DPGS simultaneously learns character representations for both detection and recognition tasks. Specifically, for each text instance, we represent the character sequence as ordered points and model them with learnable point queries. This approach progressively selects appropriate key points covering character and leverages group attention to associate similar information from different positions, improving detection accuracy. After passing through a single decoder, the point queries encode text semantics and locations, facilitating decoding to central line, boundary, script, and confidence of text through simple prediction heads. Additionally, we introduce an adaptive cooperative criterion to combine more useful feature knowledge, enhancing training efficiency. Extensive experiments show the superiority of our DPGS when handling scene text detection and recognition tasks. Compared to their respective top-1 methods, DPGS has significantly improved the average recognition accuracy by 3.7%, 1.9%, and 0.7% on the Total-Text, ICDAR15, and CTW1500 datasets, respectively.

Breaking the borders: Gender dynamics in STEM portrayals in Turkish Netflix series

This study discusses the intricate relationship between science, technology, engineering and mathematics field representation by the media and the science, technology, engineering and mathematics field in reality, centring on two pivotal inquiries: (i) How is gender within science, technology, engineering and mathematics portrayed in visual culture? (ii) How do gendered representations in visual culture impact science, technology, engineering and mathematics professionals? By scrutinizing two Turkish TV series featuring science, technology, engineering and mathematics characters, namely, Sıcak Kafa ( Hot Skull, 2022, by Mert Baykal) and Yakamoz S-245 ( Into the Deep, 2022, by Tolga Karaçelik and Umut Aral), we assert that recent Netflix productions in Turkey showcase science, technology, engineering and mathematics characters in a less marginalized manner compared to mainstream series content. The study explores the intersection of science, technology, engineering and mathematics portrayals with actual gender experiences in the Turkish context. Findings show science, technology, engineering and mathematics professionals, particularly women, to be rendered invisible in being confined to gender-based definitions. Despite portraying male and female science, technology, engineering and mathematics professionals as equal and non-marginalized, male characters predominate in decision-making and implementation processes within many series. Furthermore, science, technology, engineering and mathematics professionals do not identify with their own character representations in media content, as they express through interviews. The study underscores there is room to challenge patriarchal norms, fostering more equitable depictions of science, technology, engineering and mathematics professionals, including women, to dismantle gender biases and foster inclusivity within science, technology, engineering and mathematics fields.

The Harer-Zagier and Jackson formulas and new results for one-face bipartite maps

The study of bipartite maps (or Grothendieck’s dessins d’enfants) is closely connected with geometry, mathematical physics and free probability. Here we study these objects from their permutation factorization formulation using a novel character theory approach. We first present some general symmetric function expressions for the number of products of two permutations respectively from two arbitrary, but fixed, conjugacy classes indexed by α \alpha and γ \gamma that produce a permutation with m m cycles. Our next objective is to derive explicit formulas for the cases where α \alpha corresponds to full cycles, i.e., one-face bipartite maps. We prove a far-reaching explicit formula, and show that the number for any γ \gamma can be iteratively reduced to that of products of two full cycles, which implies an efficient dimension-reduction algorithm for building a database of all these numbers. Note that the number for products of two full cycles can be computed by the Zagier-Stanley formula. Also, in a unified way, we easily prove the celebrated Harer-Zagier formula and Jackson’s formula, and we may obtain explicit formulas for several new families as well.

ENTRE RUÍNAS E SILÊNCIOS: AMORALIDADE X DOGMAS RELIGIOSOS EM SEM GENTILEZA, DE FUTHI NTSHINGILA

We know that violence caused by gender and social inequalities is historically constituted as a ‘plastered’ element in the most diverse relationships and cultures. In this way, this work proposes an investigative analysis of the female representation of the protagonist character, Mvelo, in the novel Sem Gentileza (2016) by South African writer Futhi Ntshingila, with the aim of understanding how the writer aesthetically describes these inequalities in the narrative, especially in the context of violence against women, highlighting, for this section, the South African context of black women. From this perspective, we will discuss themes that we consider pertinent, such as religious dogma and the free will of the moral act, which are absent in the characters that make up the narrative, and we will also consider the necropolitics latent in the social context of the characters. In order to carry out this descriptive analysis from a phenomenological point of view and establish a coherent view of the discussions and characters, we will use the studies of Biko (1990), Baur (2000), Hick (2018), Revel (2005), Mbembe (2016), Fanon (2022), Hill-Collins (2019), Hooks (2020), Arendt (1997, 2004), Almeida and Teles (2012) and Saffioti (2004, 2015) among other scholars and theorists as theoretical anchors. Methodologically, this is a qualitative, bibliographical study with a descriptive analytical approach. Through this description, as a preliminary result, we conjecture that the way Ntshingila delineates violence in her poetic texture produces a certain ‘subtlety’ for such grotesque moments.

Semantic-enhanced graph neural network for named entity recognition in ancient Chinese books

Named entity recognition (NER) plays a crucial role in the extraction and utilization of knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not only originate from linguistic features such as the use of single characters and short sentences but are also exacerbated by the scarcity of training data. These factors together limit the capability of deep learning models, like BERT-CRF, in capturing the semantic representation of ancient Chinese characters. In this paper, we explore the semantic enhancement of NER in ancient Chinese books through the utilization of external knowledge. We propose a novel model based on Graph Neural Networks that integrates two different forms of external knowledge: dictionary-level and chapter-level information. Through the Graph Attention Mechanism (GAT), these external knowledge are effectively incorporated into the model’s input context. Our model is evaluated on the C_CLUE dataset, showing an improvement of 3.82% over the baseline BAC-CRF model. It also achieves the best score compared to several state-of-the-art dictionary-augmented models.