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In Tropic of Orange (1997), Karen Tei Yamashita uses literary imagination to challenge the settler-colonial discourse on space and time in the Americas. The influence of Latin American magical realism on Yamashita is most pronounced in the orange, a nonhuman object imbued with human agency. The orange magically initiates cross-border movements of people that disrupt the binaries of local/global, East/West, and North/South, challenging the unequal distribution of freedom of movement across the globe. In this paper, I engage with Wai-Chee Dimock’s concept of “deep time” to discuss the temporality of such border crossings. I propose that the cyclicality symbolized by the orange provides an alternative to linear settler-colonial management of spacetime.

This paper analyzes different projects for the digital edition of letters in Spanish that use TEI markup, showing their specificity regarding other epistolary projects at global scale. I describe different practices, both in the metadata modeling and textual annotations. I evaluate how these methodologies, anchored in the disciplines of the digital humanities, contribute to the knowledge of epistolary texts in their multiple dimensions, in particular their reticular structure.

In certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with the FAIR principles. Furthermore, we present different options, discuss their advantages and disadvantages and show concrete applications to several projects with Spanish texts (CORDE, novels of the Silver Age and texts by Picasso).

Reseña del libro Edición digital de documentos antiguos: marcación XML-TEI basada en los criterios CHARTA.

Yamashita’s use of mythic verism in Tropic of Orange and a reimagined doppelgänger trope in I Hotel depicts the ir/real nature of the taxonomy of identity and of Asian America and other minority groups being constituted in and beyond the mainstream or conventional understanding of the idea of America and of the identity of the US nation-state as being built upon discursive technologies of amnesia and misinterpellation of the subject of US history and its Other.

CORLI is a consortium of Huma-Num, the French national infrastructure dedicated to the technical support and promotion of digital humanities. The goal of CORLI is to promote and provide tools and information for good and efficient research practices in corpus linguistics, especially on spoken language corpora. Because of the time required to collect and transcribe spoken language resources, their number is limited and thus corpora need to be interoperable and reusable in order to improve research on themes such as phonology, prosody, interaction, syntax, and textometry. To help researchers reach this goal, CORLI has designed a pair of tools: TEICORPO to assist in the conversion and use of spoken language corpora, and TEIMETA for metadata purposes. TEICORPO is based on the principle of an underlying common format, namely TEI XML as described in its specification for spoken language use (ISO 2016). This tool enables the conversion of transcriptions created with alignment software such as CLAN, Transcriber, Praat, or ELAN as well as common file formats (CSV, XLSX, TXT, or DOCX) and the TEI format, which plays the role of a lossless pivot format. Backward conversion is possible in many cases, with limitations inherent in the destination target format. TEICORPO can run the Treetagger part-of-speech tagger and the Stanford CoreNLP tools on TEI files and can export the resulting files to textometric tools such as TXM, Le Trameur, or Iramuteq, making it suitable for spoken language corpora editing as well as for various research purposes.

The 3D integrated circuit (3D-IC) is garnering significant attention from academia and industry as a key technology leading the post-Moore era, offering new levels of efficiency, power, performance, and form-factor advantages to the semiconductor industry. However, thermal management in 3D-ICs presents a critical challenge that must be overcome to ensure prosperity for this technology. Unlike traditional thermal management solutions that perceive heat generation in 3D-ICs negatively and aim to eliminate it, this paper proposes, for the first time, a thermal management method that positively utilizes heat to achieve low-power operation in 3D-ICs. This approach is based on a novel discovery that circuits can reduce power consumption at higher temperatures by leveraging the temperature effect inversion (TEI) phenomenon in ultralow-voltage (ULV) operating circuits, a characteristic of low-power techniques (TEI-LP techniques). Along with a detailed explanation of this discovery, this paper introduces new thermal management technologies for practical application in 3D-ICs. Furthermore, to achieve optimal energy efficiency with the proposed technology, we develop a temperature controller essential for this purpose. The developed controller is a deep learning-based PID autotuner. This paper proves the theoretical validity of the AI control algorithm designed for this purpose and demonstrates the functional correctness and power-saving effectiveness of the developed controller through intensively conducted simulations. [ABSTRACT FROM AUTHOR]