Issues Of Representation Research Articles

THE REPRESENTATION OF THE IDEAL SUNDANESE, ACCORDING TO KANG DEDI MULYADI YOUTUBE CHANNEL

Celebrity, including politicians, is often seen as the epitome of one specific culture. Dedi Mulyadi attempts to present himself as an ideal Sundanese for his viewers through his YouTube channel. With almost 4 million subscribers, the politician has become an internet sensation as his Sundanese characteristics reach many viewers. This article tries to elaborate on the idea of being Sundanese according to Dedi Mulyadi's YouTube Channel. There are many ways to elaborate on this idea; this article focuses on his utterances in interacting with certain people. Thus, the pragmatic approach covering mixing code, speech act, and the representation issue is applied in this article to break down the selected conversation. Eventually, the findings show that Dedi Mulyadi uses conversational pragmatics to represent himself as an ideal Sundanese. According to his videos, the caring, compassionate, yet assertive leader is what it means to be an ideal Sundanese.

Examining stakeholder involvement in the context of top-down marine protected area governance: The case of the Sept-Îles National Nature Reserve (Brittany, France)

Marine protected areas (MPAs) are important yet complex conservation tools that can be difficult to govern and manage. In France, the State manages protected areas with national status, but consults communities and users when making decisions. How can the governance of an MPA be improved while respecting the framework imposed on it by State regulations? This study focuses on the Sept-Îles National Nature Reserve (Réserve naturelle nationale, or RNN), located in northern Brittany (France) and renowned for its natural heritage, particularly for its seabird conservation efforts. Its management methods are provided for by the French Environmental Code, and are structured around an Advisory Committee, a Scientific Council, and a designated manager. Any change in the functioning of this committee must comply with the provisions of French law. Following a decree to extend the perimeter of the RNN, there was the opportunity to reassess the functioning of the current governance structure the RNN Sept-Îles and to define its strengths and weaknesses so that these may be addressed as the RNN grows. Various stakeholders – for the most part members of the Advisory Committee – were engaged through semi-structured interviews, guided by the principles of good governance. This study found that the current structure of the Advisory Committee is not aligned with the French Environmental Code and proposes new working groups that could offer stakeholders more opportunities for participation. There were issues of representation, communication, and power struggles within the Advisory Committee and highlights a distinct lack of young people within the governance structure of the RNN, which poses questions about its future. This is one of the first studies in France to propose an alternative governance structure involving more RNN stakeholders that can fit into the current framework imposed by State regulations.

Shifting the Paradigm: Cultivating Socially Responsible Atmospheric Scientists through Leadership and Action

Abstract The geosciences have the lowest racial and ethnic diversity of all STEM fields at all levels of higher education, and atmospheric science is emblematic of this discrepancy. Despite a growing awareness of the problem, Black, Indigenous, people of color, persons with disabilities, women, and LGBTQIA+ persons continue to be largely absent in academic programs and in the geoscience workforce. There is a desire and need for new approaches, new entry points, and higher levels of engagement to foster a diverse community of researchers, scholars, and practitioners in atmospheric science. One challenge among many is that diversity, equity, and inclusion efforts are often siloed from many aspects of the scientific process, technical training, and scientific community. We have worked toward bridging this gap through the development of a new atmospheric science course designed to break down traditional barriers for entry into diversity, equity, and inclusion engagement by graduate students, so they emerge better prepared to address issues of participation, representation, and inclusion. This article provides an overview of our new course, focused on social responsibility in atmospheric science. This course was piloted during Fall 2021 with the primary objective to educate and empower graduate students to be “diversity champions” in our field. We describe 1) the rationale for a course of this nature within a graduate program, 2) course design and content, 3) service-learning projects, 4) impact of the course on students, and 5) scalability to other atmospheric science graduate programs.

614 “Women in Surgery – Breaking Stereotypes”: Value of Organising WINS Sessions Early in Medical Teaching to Tackle Stereotypes

Abstract Aim Despite 59% medical students being female, only 12% consultant surgeons in the UK are female. This study explores the value offered by teaching sessions to promote Women in Surgery (WINS) and help tackle stereotypes amongst medical students. Method A virtual session aimed at medical students delivered by a female surgeon who shared her journey of being and becoming a surgeon was offered. A post-session survey collected data from the attendees on their perceptions of the challenges women face in pursuing a career in surgery. Free-text data from the survey were analysed thematically. Results Three key themes emerged based on the views attendees shared on the challenges women face in surgery– ‘women cannot make good surgeons’; ‘surgery is harder for females to access’ and ‘women are more family-orientated with less passion for the job’. Following the session, the participants were asked to share their key learning points which they identified as ‘women can make excellent surgeons’; ‘support is available’ and ‘work-life balance is possible’. Overall, all participants stated that the session motivated them in taking up a career in surgery. Conclusions Our results indicate that direct early medical student-to-surgeon engagement is significant in addressing misconceptions which might be helpful in dealing with some stereotypes surrounding WINS. Well-informed students are more likely to pursue surgery as a career, addressing current gender disparities. Feedback indicated that attendees valued personal insights and experiences of the invited speaker and this information is of value to inform future interventions which help address issues of representation of females in surgery.

Leaving no One Behind: Displaced Persons and Sustainable Development Goal Indicators on Sexual and Reproductive Health

This paper critically reviews evidence on the sexual and reproductive health (SRH) of people displaced due to conflict and violence, addressing the question, “How visible are displaced persons in sustainable development goal (SDG) indicators on SRH?” Gaps in monitoring processes are not just statistical limitations; indicators are modes of power, and who and what gets measured counts. The data corpus comprises national surveys recommended as data sources for SDG indicators 3.7.1 (contraceptive demand satisfied by modern methods) and 5.6.1 (SRH decision making), conducted in Asia since 2015. The review identifies 31 national surveys collecting data on these indicators, of which six include some form of displacement screening. The quality of displacement questions is mixed, but overall, does not meet recommendations by the Expert Group on Refugee, IDP and Statelessness Statistics. Estimates of SDG indicators 3.7.1 and 5.6.1 are presented for displaced vs. national host populations, but comparability is limited by measurement and representation issues. Certain groups are made invisible, including younger adolescents, older and unmarried women and the heterogeneity of displaced people is blurred.

How to Open Representative Democracy to the Future?

AbstractIn recent years, various innovations aimed at counteracting perceived presentism and democratic decline have emerged. One primary concern is the issue of inadequate representation in parliaments, which has prompted the development of various proposals for reforming the selection mechanisms of parliamentarians. In this context, lottocracy (selection of representatives at random) and proxy democracy (selection models based on self-selection and flexible nominations that determine the relative influence of representatives) are candidates as selection rules to open democratic representation. Herein, I examine the normative and contextual trade-offs underpinning lottocracy and proxy democracy. While both systems outperform electoral alternatives on the dimensions under study, they induce tensions that are often overlooked. Nonetheless, clarifying the normative compromises is crucial to addressing the challenges facing democratic systems and to informing the deployment of the future of representative democracy.

Соотношение религиозной и военной лексики в армянском тексте: квантитативный подход

The study aims to identify hidden trends and patterns in the distribution of lexical units of two thematic classes – religious and military vocabulary – in the poetic texts of Russian literature dedicated to Armenia. These themes represent important parameters in the Armenian text, they are realised in most works about Armenia and reflect important aspects of its history and culture. The analysis involves poems created in the XIX-XXI centuries. The scientific novelty of the study lies in the fact that it examines the issue of the lexical representation of two figurative-thematic parameters within the framework of a quantitative approach, which makes it possible to objectively determine the nature of the coverage of military and religious themes at various stages of the formation and development of the Armenian text. The study of the relations of lexical units in the texts of the works allows the researcher to examine both general trends in the perception of this country in Russian literature and the individual features of the poets’ construction of Armenia’s artistic image. The coefficients of variation, the Busemann coefficient, the estimation of statistical significance (chi-square) and the Euclidean distance are used for quantitative analysis. The results of the analysis made it possible to establish the interrelationships of two important themes for the Armenian text and the dynamics of their changes over time. The strongest changes were observed between the second (pre-revolutionary) and the third (Soviet) periods. A comparative analysis of the works of 8 poets who wrote about Armenia made it possible to classify them and determine differences in the frequency of military and religious vocabulary.

MUDROID: Android malware detection and classification based on permission and behavior for autonomous vehicles

AbstractWith the growing popularity of autonomous vehicles, ensuring their safety has become a significant concern. Vehicle manufacturers have incorporated the Android operating system to enhance user convenience. However, the Android operating system's diversity and vulnerability may significantly impact autonomous vehicles because these natures lead to a critical threat in autonomous vehicle security: Android malware. The complex nature of multi‐data sources fusion in autonomous driving systems has resulted in low detection efficiency and accuracy for Android malware. Given the security requirements for autonomous‐driving systems, this article presents an Android malware classification method centered around the multifeature fusion and deep learning architecture designed to detect and classify Android malware within autonomous‐driving systems. The proposed MUDROID framework relies on the Android permission mechanism and behavioral feature to formulate a malware classification model. Comprising four essential components—feature extraction, representation, multifeature fusion, and classifier training, MUDROID leverages the advantages of CNN and GCN combination model and is adept at extracting and interpreting multidimensional features, consequently constructing a multifeature fusion classifier to amplify the efficiency and accuracy of Android malware detection and classification. The experiment results support MUDROID's superior classification performance, with an impressive Android malware detection accuracy rate of 98.69% and family classification (95.42%). The proposed method can detect and classify Android malware effectively, thus elevating the security and robustness of the self‐driving system. Additionally, the approach in this article also addresses feature representation issues in detecting malware variants, facilitating the recognition of Android malware variants across diverse platforms.

Illegible Representations, Collaborative Protests

In this paper, members of COLLECTIVE reflect on the show Illegible and the specific performance for Mr. Olango’s family. Using an auto-ethnographic approach, this paper explores the role of artists in transforming critical scholarship and social protests into social justice advocacy, particularly around issues of representation, inequality, systemic racism, and police violence as experienced by Black men. In exploring the creative processes and impact of this performance, Illegible offers lyrics, movement, and music as representative of distinct and collaborative protests against anti-Black racism.

Robust Visual Object Tracking Based on Feature Channel Weighting and Game Theory

Although the discriminative correlation filter- (DCF)-based tracker improves tracking performance, some object representation issues can still be further optimized. On the one hand, the DCF tracker’s deep convolutional features contain many noisy channels, and assigning the same weights to multiple channels cannot distinguish the importance of different channels. On the other hand, a simple weighted fusion approach cannot fully utilize the benefits of different feature types. We propose a visual object tracking algorithm based on adaptive channel weighting and feature game fusion to solve these problems. In this study, an adaptive channel weighting strategy is designed to assign suitable weights to each channel based on the average energy ratio of the target and background regions in the feature channels and prune the channels with low weights to improve feature robustness and reduce computational complexity. Simultaneously, the game theory concept is introduced in the multifeature fusion. The handcrafted features are combined with shallow and deep convolutional features according to feature complementarity. Then, the two combined features are seen as two sides of the game, continuously gamed during the tracking process to generate a feature model with a higher representation capacity. Extensive experiments are conducted on four mainstream visual tracking benchmark datasets, including OTB2015, VOT2018, LaSOT, and UAV123. The experimental results show that the proposed algorithm performs outstandingly compared to the state-of-the-art trackers.

Do Jews count in klezmer? The problem of ‘Jewface’ in the British world music industry

ABSTRACT Klezmer has become an established genre in world music, but its performance is dominated by non-Jewish musicians. Against the backdrop of the ‘Jewface’ scandal in London’s West End, I explore the issue of Jewish representation in klezmer in the British world music industry, examining recurrent trends of cultural appropriation that result in the exclusion and exploitation of Jewish musicians and the exoticisation and erasure of Yiddish culture. I highlight how this systemic marginalisation illustrates a double standard in the industry, providing another example of how Jews are being left out of the progressive drive towards diversity in the performing arts.

‘And yet’ … Critical questions, complicated conversations: curating a TYA curriculum

ABSTRACT Can critical questions and complicated conversations addressing issues of representation, difference, and witnessing be positioned at the centre of a TYA curriculum? This article examines contemporary, issue-based and culturally specific TYA scripts. In addition, a collection of aesthetic representations are offered as dynamic prompts to help further provoke dialogue across difference, and to invite different forms of knowing and knowledge into our shared TYA spaces. These curated sources are considered alongside the wisdom of Elie Wiesel, Johnston’s ‘Slow Curation’, Lauzon’s ‘Cultural Intimacy’, and Rothberg’s ‘Multidirectional Memory’ concepts in the effort to welcome and sustain relationships across multiple and challenging contexts.

The Mountain Minor

The Mountain Minor

Exploring the Soviet Ukrainian Cinematographer’s Private Photo Archive: Issues of Popularization and Representation

The archive of famous Soviet Ukrainian cinematographer Leonid Burlaka is an example of photography illustrating various spheres of life in Ukraine from the 1960s to the 1990s and has not only historical but also artistic value. In March 2017, the missing part of Leonid Burlaka’s photo archive was discovered in Odessa (Ukraine). Accordingly, the first phase of research was devoted to the analysis of the history of archive discovery, its condition, contents, and the systematization of photographs constituting the archive. In the second stage of the research, another part of the archive was analyzed, which was not lost but preserved by Leonid Burlaka himself and totaled over 300 films. In the process of exploring, the archive raised numerous new issues. How will the further life and preservation of the archive look? What might be the experience of presentation of the archive, its involvement in artistic practices and its influence on collective perception in the post-Soviet period? Currently, the archive forms the basis of the interdisciplinary project Fragile Memory. Therefore, the article touches on several issues: the history of the archive, questions regarding its research, as well as the experience of its popularization, which has been conducted during the past five years within the framework of the Fragile Memory project.

Imagined Past and Future

Aztech Forgotten Gods, developed by Mexican studio Lienzo, has as its main setting a futuristic unconquered Aztec civilization. The developers took elements from the pre-Hispanic past and projected them into an imagined alternative future. Following this premise, the present article borrows from Penix-Tadsen the division of “the culture in the video game/the video game in the culture” and thus is divided into two parts. The first traces some of the cultural notions present in Aztech that can be found by examining some ideologies with an origin in the Mexican Post-Revolutionary regime from the 1920s. Initially, these ideologies considered the pre-Hispanic era as a “glorious past”; thereafter, toward the 1970s with the Tlatelolco massacre and economic crises, the past was rather seen as “tragic.” These ideologies are also related to ways of thinking about pre-Hispanic culture in relation to other beliefs and religions, or with a desire to “recover” the “Aztec” culture and essentialize it. The second part of this article categorizes and analyzes some of the contemporary cultural notions activated by Aztech Forgotten Gods. This is achieved by analyzing the reactions of internet users to the promotional videos of the video game on YouTube. These responses include the identification of some people as Mexican and their relation to ancient “Aztec” culture, similarities of the game’s music to the music from other video games, and issues of gender representation. The article discusses the complexities that come when a video game takes some aspects from contemporary identity, and some of the different ways the audience responds to cultural aspects of a video game. That is to say, it is fundamentally concerned with the relation between culture and video games.

“Experiencing Trauma”: Aesthetical, Sensational and Narratological Issues of Traumatic Representations in Slasher Horror Cinema

In the field of horror film studies, the question of trauma is generally related to the spectator’s experience. The trauma of images occurs in the context of socio-cultural actualization. The degree of violence involved in the images, either graphic or symbolic, implies an experience that marks the viewer. Trauma, in this way, acts as a sensitive degree of perception, the image being an event. We start from this theoretical point but decide to take as our object of study only films where the horrific experience is based on a figurative representation of trauma. Therefore, we want to detach ourselves from a symbolic reading of the horrific image, leaving aside the psychological implications of the image’s effect. We decide to adopt a phenomenological and enactive reading of the image in order to include our spectatorial sensations in the narrative and aesthetic analysis of the representations issues of trauma as a horrific experience. Thus, in our corpus, trauma does not intervene in the cognitive formation of the spectator but is built into the experience of the filmic corpse according to a visual and narrative continuity specific to the films. We designate two types of traumatic events that occur in the corpus films: Halloween II; Friday the 13th: A New Beginning. We try to understand the emergence of the traumatic feeling within the spectator and demonstrate that the trauma experienced by the viewer arises from the horrific experience specific to the aesthetic and narrative aims of the films, mirroring the symptoms and the wounds of the characters.

Meal 'n' Knowledge. Review of the book «Science In The Media: Popular Images and Public Perceptions»

The article discusses the book "Science In The Media: Popular Images and Public Perceptions" by Paul Brewer and Barbara Lay of the University of Delaware. The book touches upon the issue of media representation of science and scientists and provides an analytical overview of the different media (from children's TV shows to social media posts) that shape the perception of science among a wide audience. The book is based on American material, but the trends noted by the authors, as well as the conclusions drawn, are important not only for the USA, which gives their work additional value. The authors collected, classified and sociologically processed a huge array of materials, and were able to outline the most effective ways to promote scientific knowledge in society, while helping to understand the inevitable limitations of various media channels of communication between the scientific community and the public. In addition, the authors, tracking the logic and priorities of various media (serials, TV shows, news programs, and so on), along the way explain the paradox of passion for pseudoscience against the backdrop of an abundance of scientific information. Instead of complaining about the superficiality of journalists and TV shows, the authors suggest that scientists, firstly, carefully choose programs for cooperation, secondly, take into account the specifics of a particular media format when working with it, and, thirdly, use the digital environment more actively to advance scientific points of view.

Distribution and Nature of Bioethical Research by Mediterranean Authors on the Example of the Croatian Bioethical Journals

Taking the basic goals of the scientific project “EUROBIOMED” (Croatian Science Foundation, HRZZ IP-2020-02-7450) as a starting point, the research investigates an important segment of bioethical production by Mediterranean authors. All main Croatian journals officially dedicated to bioethical research are taken into consideration as a corpus of research: Jahr – European Journal of Bioethics, Synthesis philosophica, and Filozofska istraživanja (Philosophical Investigations). Methodologically, only scientific and professional articles are taken, the criteria for defining articles as “bioethical” were given by leaning on bibliometric characteristics, and the considered approaches for content analysis were presented. Three dimensions are analysed. First, the research reveals all Mediterranean countries from which bioethical authors come. Second, topics that are represented in those works are described and categorized under mentioned methodological criteria. Third, the methodology applied in those articles is critically analysed and debated in the mentioned project’s framework. Apart from the distribution of authors from Mediterranean countries, the results have broader significance for the issues of representation of Mediterranean topics and methodology concerning bioethics in general, and, indirectly, say much about the relevance of all three mentioned journals in this context, i.e. their place and significance in the bioethical dimension of enriching and contributing to the Mediterranean Studies. Keywords: bioethics, Mediterranean, Croatia, journals, content analysis, Mediterranean studies, EUROBIOMED project

DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA-disease associations and graph convolutional networks.

MicroRNAs (miRNAs) are human post-transcriptional regulators in humans, which are involved in regulating various physiological processes by regulating the gene expression. The subcellular localization of miRNAs plays a crucial role in the discovery of their biological functions. Although several computational methods based on miRNA functional similarity networks have been presented to identify the subcellular localization of miRNAs, it remains difficult for these approaches to effectively extract well-referenced miRNA functional representations due to insufficient miRNA-disease association representation and disease semantic representation. Currently, there has been a significant amount of research on miRNA-disease associations, making it possible to address the issue of insufficient miRNA functional representation. In this work, a novel model is established, named DAmiRLocGNet, based on graph convolutional network (GCN) and autoencoder (AE) for identifying the subcellular localizations of miRNA. The DAmiRLocGNet constructs the features based on miRNA sequence information, miRNA-disease association information and disease semantic information. GCN is utilized to gather the information of neighboring nodes and capture the implicit information of network structures from miRNA-disease association information and disease semantic information. AE is employed to capture sequence semantics from sequence similarity networks. The evaluation demonstrates that the performance of DAmiRLocGNet is superior to other competing computational approaches, benefiting from implicit features captured by using GCNs. The DAmiRLocGNet has the potential to be applied to the identification of subcellular localization of other non-coding RNAs. Moreover, it can facilitate further investigation into the functional mechanisms underlying miRNA localization. The source code and datasets are accessed at http://bliulab.net/DAmiRLocGNet.

Faces of Faceless in Tamang’s Paintings: Claiming for Identity

The Tamang community has endured long history of structural hegemony and marginalization. The Rana rulers not only denied their ethnicity, but also enforced them for free labor. The rulers imposed main stream Khas language and Hindu culture looking-down upon their indigenous culture, language and distinct way of life. Moreover, they were always pushed towards the periphery in terms of education, opportunity and the resource-use. Against this backdrop, this paper analyzes Subas Tamang’s paintings exhibited under the title Kaiten: History, Memory, Identity (2021). His paintings memorize atrocious and subjugated past of the Tamang community when they were treated nothing more than a working machine by the powerful local authorities and the rulers. I have focused on three paintings that memorize the Tamang’s history, predicaments and their ravished identity. For the theoretical backing, I have employed Stuart Hall’s concept of cultural studies, concentrating on the issue of representation.