The Disguise of Language: Translation through the Mahābhārata

As the Pāṇḍava brothers move through the forest in the third book of the Mahābhārata, they hear stories of fantastic transformations and journeys: a band of gods all masked as the same prince, dice that become thieving birds, a sage turned into a hunted deer, a woman who traverses Yama’s realm. These tales recast and elucidate the conditions in which the Pāṇḍavas find themselves, translating their narrative so that the brothers might navigate the wilderness. The Disguise of Language explores translation through the Mahābhārata to uncover ways in which the text develops and carries meaning. Examining a matrix of interacting narratives, this study argues that the epic poem binds diverse genres and perspectives toward its self-description as comprehensive and exhaustive. Dan Rudmann builds sites of alliance between the epic’s discourse and a range of literary traditions, theory, and scholarship to present new ways of understanding translation as dialogical correspondence, occurring within and between languages. The Disguise of Language asks how an alteration of form or change of context can at once obscure and reveal its subject

Resources for supporting policy change in research institutions in practice: A report from Subgroup 2 of the ReSA & RDA Policies in Research Organisations for Research Software (PRO4RS) Working Group

This report presents one of the outputs of the Policies in Research Organisation for Research Software (PRO4RS) Working Group, which is co-convened by the Research Software Alliance (ReSA) and Research Data Alliance (RDA). The report highlights the challenges that the working group is addressing and our motivation for looking at them. It then summarises a variety of existing resources relevant to different stakeholders. As software has become an increasingly important element of research across almost all domains, there is a need for better recognition of the importance and value of software to modern research processes and outputs. This includes the need for research organisations to provide guidance and policies relating to research software, as part of the institutional change to more effectively support the sustainability and impact of research software that is now critical to the research enterprise. The PRO4RS Working Group is helping to support this shift by developing examples and recommendations for institutional policies

AiM Festival: Community Market Slides

<p>Slides from the Community Market, held as part of the Academia in Motion Festival on 2 November 2023.</p&gt

Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology

Toxicologic pathology is transitioning from analog to digital methods. This transition seems inevitable due to a host of ongoing social and medical technological forces. Of these, artificial intelligence (AI) and in particular machine learning (ML) are globally disruptive, rapidly growing sectors of technology whose impact on the long-established field of histopathology is quickly being realized. The development of increasing numbers of algorithms, peering ever deeper into the histopathological space, has demonstrated to the scientific community that AI pathology platforms are now poised to truly impact the future of precision and personalized medicine. However, as with all great technological advances, there are implementation and adoption challenges. This review aims to define common and relevant AI and ML terminology, describe data generation and interpretation, outline current and potential future business cases, discuss validation and regulatory hurdles, and most importantly, propose how overcoming the challenges of this burgeoning technology may shape toxicologic pathology for years to come, enabling pathologists to contribute even more effectively to answering scientific questions and solving global health issues.*This article is a product of a Special Interest Group of the Society of Toxicologic Pathology (STP). The views expressed in this article are those of the authors and do not necessarily represent the policies, positions, or opinions of the STP