Hasil untuk "Unlocalized maps (Asian studies only)"

Nils Berglund, Tom Klose, Nikolas Tapia

We consider the perturbative renormalisation of the $Φ^4_d$ model from Euclidean Quantum Field Theory for any, possibly non-integer dimension $d<4$. The so-called BPHZ renormalisation, named after Bogoliubov, Parasiuk, Hepp and Zimmermann, is usually encoded into extraction-contraction operations on Feynman diagrams, which have a complicated combinatorics. We show that the same procedure can be encoded in the much simpler algebra of polynomials in two unknowns $X$ and $Y$, which represent the fourth and second Wick power of the field. In this setting, renormalisation takes the form of a \lq\lq Wick map\rq\rq\ which maps monomials into Bell polynomials. The construction makes use of recent results by Bruned and Hou on multiindices, which are algebraic objects of intermediate complexity between Feynman diagrams and polynomials.

Xingyu Lan, Jiaxi An, Yisu Guo et al.

Image-generating AI, which allows users to create images from text, is increasingly used to produce visual content. Despite its advancements, cultural biases in AI-generated images have raised significant concerns. While much research has focused on issues within Western contexts, our study examines the perceived biases regarding the portrayal of East Asian women. In this exploratory study, we invited East Asian users to audit three popular models (DALL-E, Midjourney, Stable Diffusion) and identified 18 specific perceived biases, categorized into four patterns: Westernization, overuse or misuse of cultural symbols, sexualization & feminization, and racial stereotypes. This work highlights the potential challenges posed by AI models in portraying Eastern individuals.

G. A. Gontcharov, A. A. Marchuk, S. S. Savchenko et al.

We present a new two-dimensional (2D) map of total Galactic extinction, $A_\mathrm{V}$, across the entire dust half-layer from the Sun to extragalactic space for Galactic latitudes $|b|>13$ deg, as well as a three-dimensional (3D) map of $A_\mathrm{V}$ within 2~kpc of the Sun. These maps are based on $A_\mathrm{V}$ and distance estimates derived from a dataset, which utilizes {\it Gaia} Data Release 3 parallaxes and multi-band photometry for nearly 100 million dwarf stars. We apply our own corrections to account for significant systematics in this dataset. Our 2D map achieves an angular resolution of 6.1~arcmin, while the 3D map offers a transverse resolution of 3.56~pc -- corresponding to variable angular resolution depending on distance -- and a radial resolution of 50~pc. In constructing these maps, we pay particular attention to the solar neighborhood (within 200~pc) and to high Galactic latitudes. The 3D map predicts $A_\mathrm{V}$ from the Sun to any extended object within the Galactic dust layer with an accuracy of $σ(A_\mathrm{V}) = 0.1$~mag. The 2D map provides $A_\mathrm{V}$ estimates for the entire dust half-layer up to extragalactic distances with an accuracy of $σ(A_\mathrm{V}) = 0.07$~mag. We provide $A_\mathrm{V}$ estimates from our maps for various classes of extended celestial objects with angular size primarily in the range of 2--40~arcmin, including 19,809 galaxies and quasars, 170 Galactic globular clusters, 458 open clusters, and several hundreds molecular clouds from two lists. We also present extinction values for 8,293 Type Ia supernovae. Comparison of our extinction estimates with those from previous maps and literature sources reveals systematic differences, indicating large-scale spatial variations in the extinction law and suggesting that earlier 2D reddening maps based on infrared dust emission tend to underestimate low extinction values.

Hatib Kadir

Over the past decade, during the tenure of President Joko Widodo, West Papua has undergone a process that Jason and Michael (2019) describe as a “recurring frontier”, whereby frontiers emerge, evolve and are continually redefined. The situation there is exemplified by a number of intertwined “frontier indicators”, which in this article are focused on military threats, the corrupt bureaucracy surrounding infrastructure and the environmental disasters of deforestation and flooding. The paper is based on reflections from fieldwork in Sorong greater area (Sorong Raya) between 2019 and 2023. It indicates several developments occurring at the micro level in Sorong including the history of threats and violence that have created frontiers and overlapping bureaucratic governance, resulting in urban environmental degradation. The creation of frontiers for Papuans is not only currently underway but is also envisioned as a future project to be developed across Papua. Reflecting on this specific case in Sorong, West Papua, it is anticipated that frontier areas will emerge throughout Papua in the future.  

Liying Chen, Ou Deng, Ting Fang et al.

Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unpredictable flares. This study aimed to develop a novel proteomics-based risk prediction model specifically for Asian SLE populations to enhance personalized disease management and early intervention. Methods: A longitudinal cohort study was conducted over 48 weeks, including 139 SLE patients monitored every 12 weeks. Patients were classified into flare (n = 53) and non-flare (n = 86) groups. Baseline plasma samples underwent data-independent acquisition (DIA) proteomics analysis, and phenome-wide Mendelian randomization (PheWAS) was performed to evaluate causal relationships between proteins and clinical predictors. Logistic regression (LR) and random forest (RF) models were used to integrate proteomic and clinical data for flare risk prediction. Results: Five proteins (SAA1, B4GALT5, GIT2, NAA15, and RPIA) were significantly associated with SLE Disease Activity Index-2K (SLEDAI-2K) scores and 1-year flare risk, implicating key pathways such as B-cell receptor signaling and platelet degranulation. SAA1 demonstrated causal effects on flare-related clinical markers, including hemoglobin and red blood cell counts. A combined model integrating clinical and proteomic data achieved the highest predictive accuracy (AUC = 0.769), surpassing individual models. SAA1 was highlighted as a priority biomarker for rapid flare discrimination. Conclusion: The integration of proteomic and clinical data significantly improves flare prediction in Asian SLE patients. The identification of key proteins and their causal relationships with flare-related clinical markers provides valuable insights for proactive SLE management and personalized therapeutic approaches.

E. Sander, J. D. Meiss

This paper focuses on distinguishing classes of dynamical behavior for one- and two-dimensional torus maps, in particular between orbits that are incommensurate, resonant, periodic, or chaotic. We first consider Arnold's circle map, for which there is a universal power law for the fraction of nonresonant orbits as a function of the amplitude of the nonlinearity. Our methods give a more precise calculation of the coefficients for this power law. For two-dimensional torus maps, we show that there is no such universal law for any of the classes of orbits. However, we find different categories of maps with qualitatively similar behavior. Our results are obtained using three fast and high precision numerical methods: weighted Birkhoff averages, Farey trees, and resonance orders.

Gaurav Verma, Rynaa Grover, Jiawei Zhou et al.

Violence-provoking speech -- speech that implicitly or explicitly promotes violence against the members of the targeted community, contributed to a massive surge in anti-Asian crimes during the pandemic. While previous works have characterized and built tools for detecting other forms of harmful speech, like fear speech and hate speech, our work takes a community-centric approach to studying anti-Asian violence-provoking speech. Using data from ~420k Twitter posts spanning a 3-year duration (January 1, 2020 to February 1, 2023), we develop a codebook to characterize anti-Asian violence-provoking speech and collect a community-crowdsourced dataset to facilitate its large-scale detection using state-of-the-art classifiers. We contrast the capabilities of natural language processing classifiers, ranging from BERT-based to LLM-based classifiers, in detecting violence-provoking speech with their capabilities to detect anti-Asian hateful speech. In contrast to prior work that has demonstrated the effectiveness of such classifiers in detecting hateful speech ($F_1 = 0.89$), our work shows that accurate and reliable detection of violence-provoking speech is a challenging task ($F_1 = 0.69$). We discuss the implications of our findings, particularly the need for proactive interventions to support Asian communities during public health crises. The resources related to the study are available at https://claws-lab.github.io/violence-provoking-speech/.

Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah et al.

Coreference resolution involves the task of identifying text spans within a discourse that pertain to the same real-world entity. While this task has been extensively explored in the English language, there has been a notable scarcity of publicly accessible resources and models for coreference resolution in South Asian languages. We introduce a Translated dataset for Multilingual Coreference Resolution (TransMuCoRes) in 31 South Asian languages using off-the-shelf tools for translation and word-alignment. Nearly all of the predicted translations successfully pass a sanity check, and 75% of English references align with their predicted translations. Using multilingual encoders, two off-the-shelf coreference resolution models were trained on a concatenation of TransMuCoRes and a Hindi coreference resolution dataset with manual annotations. The best performing model achieved a score of 64 and 68 for LEA F1 and CoNLL F1, respectively, on our test-split of Hindi golden set. This study is the first to evaluate an end-to-end coreference resolution model on a Hindi golden set. Furthermore, this work underscores the limitations of current coreference evaluation metrics when applied to datasets with split antecedents, advocating for the development of more suitable evaluation metrics.

Torsten Tschacher

Andrea Fleschenberg, Ahsan Kamal

Ahsan Kamal is Lecturer in Pakistan Studies at the Quaid-i-Azam University, Islamabad, teaching courses in research methods, social theory, social movements and water politics. They work with activists and communities on issues of land and water commons in Pakistan. Their PhD dissertation in Sociology was written on the death and defence of the Indus River in Pakistan. One of their most recent publications, co-authored with Christopher Courtheyn, is “Research as Action and Performance. Learning with Activists in Resource Conflicts”, published in 2021 in The Routledge Handbook of Critical Resource Geography. Andrea Fleschenberg talked with Ahsan Kamal on action research, research ethics, and critical decolonial approaches to research and teaching.

Guido Sprenger

Kiel Ramos Suarez

At a time when a global pandemic has disrupted lives to a large extent across the globe, doing research has become ever more complex, challenging and uncertain. Such unexpected shifts in the dynamics of research, resulting in unpredictable consequences, have prompted the author to further reflect on her positionality as a researcher writing LGBTQI history. In this paper, the author joins scholars who propose self-reflexivity as both an analytical and ethical tool in understanding volatile research contexts. In gender and sexuality studies much has been written about the importance of self-reflexivity in understanding the impact of researchers’ social and epistemic locations in knowledge production. The paper argues that self-reflexive practice is especially important in studying the histories of gender and sexual identities in a multiply colonised society such as the Philippines. The author reflects on her own identity and its continuing impact on her research process. Through a decolonial lens, she uses the Filipino psychological concept of pagkatao and unpacks its multi-layered meanings as selfhood, humanness and human dignity – three crucial elements in writing the history of identities.

Martin Sökefeld, Tabassum Fahim Ruby, Chien-Juh Gu

In his comment “Keep Research Ethics Dirty!” Martin Sökefeld questions the growing trend of routine procedures of ethics reviews in Germany. His discontent centres around two reasonings. First, he contends that the standardised ethics review is designed to protect institutions but is less effective at protecting subjects of research. Second, the “ethical clearance” granted by institutional reviews rarely solves the real ethical issues and dilemmas during fieldwork. Martin Sökefeld ends his essay with resistance against the “purification” of institutional reviews and politics of research. Tabassum Fahim Ruby builds on Sökefelds contribution and further discusses shortcomings of ethical clearance typical for social sciences research with a focus on the standards formulated by the United States Institutional Review Board (IRB). Chien-Juh Gu adds to the discussion examples from her submissions to the Human Subjects Institution Review Board (HSIRB) at the Western Michigan University. She then contests Sökefelds's second point that uses dichotomous notions of "pure" versus "dirty" in perceiving research ethics.

Ying Huang, Nicolas Huppenbauer, Maximilian Mayer

Connectivity and fragmentation coexist as two interlinked discourses on the relationship between infrastructures and societies. In response to the Digital Silk Road initiated by the Chinese government, Chinese companies have built numerous digital infrastructures globally. Simultaneously, China’s government seeks to strengthen domestic internet governance through laws and administrative regulations, such as the Cyber Security Law. This paper utilises the interpretive framework of “sociotechnical imaginaries” to explore the controversial tension between digital fragmentations and connectivity in cyberspace along technical, institutional and political dimensions. Scrutinising two cases studies – New IP and smart city – the study finds that China’s approach to infrastructuring cyberspace can be best understood as selective connectivity. China not only integrates into global cyber infrastructures to enhance its technological and regulatory capabilities, but also attempts to reshape global cyberspace governance to strengthen its political structures and enhance digital autonomy, seeking a balance between digital sovereignty, regime security and economic development. However, selective connectivity brings its own complexities and drawbacks.

Judith Shapiro, Yifei Li

It has been more than two years since the publication of our jointly written book, China Goes Green: Coercive Environmentalism for a Troubled Planet. Since then, multiple developments have confirmed and strengthened our core thesis that China’s “ecological civilisation” framework and programmes serve not only to achieve lower carbon and other environmental goals but also to strengthen the hand of the state over individuals and communities – and even to help export the state’s model of authoritarian governance. This short essay is intended to update this argument and to provide an overview of recent developments with respect to China’s carbon policies, pandemic response and international investment on the Belt and Road.

Eiji Oguma

Economic growth in the 1960s prompted a massive internal migration from provincial to metropolitan areas in Japan. This migration and urbanisation led to the rise of social movements and a decline in the percentage of votes for the ruling conservative LDP party. In response, the government introduced an industrial dispersal policy, shifting factories from metropolitan to provincial areas. Additionally, in 1971, the government started the “Model Community Project”, which strengthened local resident organisations that cooperated with local administrations and the conservative party. This reorganisation of the citizenry became the social background for the containment of social movements and the conservative resurgence of politics. This combination of industry dispersion and reorganisation of the citizenry, resulting in the conservative resurgence, characterised “the long 1960s” in Japan.

Eun-Jeung Lee

In the 1960s, the South Korean authoritarian anti-communist system, which had been established immediately after the liberation of Korea in 1945, was transformed into an anti-communist developmental dictatorship. The student movement for democracy erupted in the spring of 1960 (April 19 Revolution) and brought down the authoritarian Rhee Syngman regime. But Park Chung Hee, a military general and former officer of the Japanese Imperial Army, seized power in a military coup on 16 May 1961. He was later elected to the presidency on an agenda of modernisation in a “nationalist democracy”. In 1965, despite strong student protests, he concluded a Treaty on Basic Relations with the country’s former colonial ruler, Japan, and took Korea to war in Vietnam, in the process setting the stage for a constitutional amendment that foreshadowed the transformation of the “developmental state” into the following decade’s “developmental dictatorship”. The focus of this paper is on the ideological structure of the transitional era in which the revolution for democracy led to the establishment of an anti-communist developmental dictatorship as a result of the combined effect of various conditions of South Korean politics and the international Cold War in the 1960s. Modernisation, anti-communism, nationalism and democracy were its essential ideological elements, and the regime changes of that decade depended on changes in the priorities and interrelations among them.

Baskara T. Wardaya

In its Cold War policies toward Asia, the United States aimed at seeking economic recovery and geopolitical stability while controlling the process. Along with securing Southeast Asia as an important market and source of raw materials for itself and its allies, the intent was also to rehabilitate Japan and other Cold War allies. In Indonesia these policies resulted in US support for the massive anti-communist purge that began in Indonesia in 1965. This paper intends to show that in Indonesia, the US these policies were a success, as shown by the ouster of President Sukarno and the massive purging of the alleged members of the Indonesian communist party (PKI), as well as the installation of a new and pro-Western government. These successes, along with the benefits that accrued, left the United States reluctant to press the Indonesian government to deal with issues related to the purge. The refusal of the Indonesian government to deal with the 1965 anti-communist purge, in turn, has made it impossible for the purge’s victims and survivors to seek justice and reconciliation on the matter. As a result, decades after the end of the Cold War, they continue to suffer from its impact.

Igor Kortchemski, Cyril Marzouk

We first establish new local limit estimates for the probability that a nondecreasing integer-valued random walk lies at time $n$ at an arbitrary value, encompassing in particular large deviation regimes. This enables us to derive scaling limits of such random walks conditioned by their terminal value at time $n$ in various regimes. We believe both to be of independent interest. We then apply these results to obtain invariance principles for the Lukasiewicz path of Bienaymé-Galton-Watson trees conditioned on having a fixed number of leaves and of vertices at the same time, which constitutes a first step towards understanding their large scale geometry. We finally deduce from this scaling limit theorems for random bipartite planar maps under a new conditioning by fixing their number of vertices, edges, and faces at the same time. In the particular case of the uniform distribution, our results confirm a prediction of Fusy & Guitter on the growth of the typical distances and show furthermore that in all regimes, the scaling limit is the celebrated Brownian map.

Moin Khan, Khurram Shahzad, Kamran Malik

Hate speech is a specific type of controversial content that is widely legislated as a crime that must be identified and blocked. However, due to the sheer volume and velocity of the Twitter data stream, hate speech detection cannot be performed manually. To address this issue, several studies have been conducted for hate speech detection in European languages, whereas little attention has been paid to low-resource South Asian languages, making the social media vulnerable for millions of users. In particular, to the best of our knowledge, no study has been conducted for hate speech detection in Roman Urdu text, which is widely used in the sub-continent. In this study, we have scrapped more than 90,000 tweets and manually parsed them to identify 5,000 Roman Urdu tweets. Subsequently, we have employed an iterative approach to develop guidelines and used them for generating the Hate Speech Roman Urdu 2020 corpus. The tweets in the this corpus are classified at three levels: Neutral-Hostile, Simple-Complex, and Offensive-Hate speech. As another contribution, we have used five supervised learning techniques, including a deep learning technique, to evaluate and compare their effectiveness for hate speech detection. The results show that Logistic Regression outperformed all other techniques, including deep learning techniques for the two levels of classification, by achieved an F1 score of 0.906 for distinguishing between Neutral-Hostile tweets, and 0.756 for distinguishing between Offensive-Hate speech tweets.