The migrant voice : the politics of writing home between the Sinophone and Anglophone worlds

This paper addresses the politics of language, identity, and diasporic Chinese writing in old and emerging Chinese migrant literature. I opt for the idea of a “migrant subject” as brought up by Ha Jin to underscore a diverse verbal strategy and mobile literary creativity: that of the migrant writer who initiates linguistic and literary perversions to actively intervene in the cultural politics of both the host country and the motherland. The article proceeds to recuperate the diasporic narratives of Sinophone authors Bai Xianyong and Nie Hualing as two earlier examples of migrant writers before Ha, which exemplified the Cold War phase of overseas Chinese American writing. Whereas writing in an adopted tongue of English, as attested by Ha himself, unleashes his creative and critical urges, for Bai and Nie writing in Chinese in a foreign land as America does likewise and ushers in the critical distance cherished by the migrant writers to work on such subject matters as exile and cultural alienation. Originally written in Chinese or English, their migrant voices bring in a minor language to major traditions (Chinese literature and American English literature). Tracing the historical trajectory of migrant literature, in which Sinophone and Anglophone texts are increasingly translated and circulated between cultures, I stress the gains in translation and intercultural writing as the migrant subject can stand valid as a position for writers of transnational literary creativity

Print- Dec. 5, 1975

https://neiudc.neiu.edu/print/1344/thumbnail.jp

Print- Mar. 28, 1975

https://neiudc.neiu.edu/print/1293/thumbnail.jp

Unbreaking Assemblies in Molecular Simulations with Periodic Boundaries

This data set contains all examples shown in figure 2 of the associated manuscript. Every example contains the original GRO, XTC, TPR and a folder called `whole` which contains the whole.gro, whole.xtc and a README with the input parameters. For the Hii example there is also a segmentation folder which contains the output of the leaflet segmentation. Additionally the folders for generating the SI have been added in v1.1. - dipeptides - self-assembly - inverted hexagonal - large vesicle - undulate membrane (SI) - speed comparison (SI)The code for mdvwhole can be installed with `pip install mdvwhole` (python >= 3.8). The code is available at `https://github.com/BartBruininks/mdvwhole`

Axiom

Axiom is a short narrative video, using live-action and 3D computer graphics to re-interpret the Greek myth of Persephone through the framework of contemporary science-fiction. The aim of the video is to use narrative, approached from a design strategy that thematizes the representational role of 3D computer generated graphics, to raise questions in the minds of thoughtful viewers about the use of genetics and computer simulated worlds in the context of the vulnerable natural environment. The conceptualization of the video is explained, followed by a summary of the production pipeline, and finally an evaluation of the finished piece

Full Issue: Volume 3, Issue 1

The first issue in the third volume of the Swarthmore Undergraduate History Journal

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer

Particle localization and -classification constitute two of the most fundamental problems in computational microscopy. In recent years, deep learning based approaches have been introduced for these tasks with great success. A key shortcoming of these supervised learning methods is their need for large training data sets, typically generated from particle models in conjunction with complex numerical forward models simulating the physics of transmission electron microscopes. Computer implementations of such forward models are computationally extremely demanding and limit the scope of their applicability. In this paper we propose a method for simulating the forward operator of an electron microscope based on additive noise and Neural Style Transfer techniques. We evaluate the method on localization and classification tasks using one of the established state-of-the-art architectures showing performance on par with the benchmark. In contrast to previous approaches, our method accelerates the data generation process by a factor of 750 while using 33 times less memory and scales well to typical transmission electron microscope detector sizes. It utilizes GPU acceleration and parallel processing. It can be used to adapt a synthetic training data set according to reference data from any transmission electron microscope. The source code is available at https://gitlab.com/deepet/faket.Comment: 18 pages, 1 table, 16 figures. Included fine-tuning, ablation, and noiseless experiment

“We already look amazing, we just need designers to jump on board”: Designing for female consumers that use mobility aids based on satisfaction with retail selection and garment design characteristics

One in 4 people (85 million) in the United States has been diagnosed with a form of a disability, with 13.7 percent (44 million) having a mobility-related disability (CDC, 2020). Despite being the largest disability minority group in the US (CDC, 2020), the availability of clothes for pets is larger than the selection for people with disabilities (Ryan, 2018). The purpose of this qualitative study is to evaluate satisfaction of ready-to-wear and adaptive clothing among female consumers who use mobility aids. Fit issues, lack of availability, and lack of consideration for disability needs were found as overarching problems in both ready-to-wear and adaptive clothing. None of the participants interviewed found that ready-to-wear or adaptive clothing fully accommodates the needs of their disability. Results were used to design a 3-look collection to accommodate and empower women with disabilities