67,120 research outputs found
Hung Hsien oral history interview and transcript
This recording and transcript form part of a collection of oral history interviews conducted by the Chao Center for Asian Studies at Rice University. This collection includes audio recordings and transcripts of interviews with Asian Americans native to or living in Houston.Hung Hsien, also known as Margaret Chang, was born in Yangzhou, China in 1933 in a very artistic and prominent family. She settled in Taiwan with her family in 1948. She studied traditional Chinese painting with Prince Pu Hsinyu and in the Normal University of Taiwan. After she married T.C. Chang in 1957, the couple moved to Chicago where Hung Hsien studied painting in both Northwestern University and the Art Institute of Chicago. Hung Hsien’s work was exhibited and collected in several museums including Smithsonian Museum, Museum in Hong Kong, and Art Institute of Chicago, etc. Now, Hung Hsien and T.C. Chang live in the museum district in Houston. She teaches at Glassell School of Arts and teaches Tai Chi at the Jung Center. She and her husband are good at playing tennis
Supplemental Material - Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data
Supplemental Material for Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data by Duc-Khanh Nguyen, Chien-Lung Chan, Ai-Hsien A Li, Dinh-Van Phan and Chung-Hsien Lan in Health Informatics Journal</p
AI-SDC
<p>Changes:</p>
<ul>
<li>Add built-in support for additional datasets (<a href="https://github.com/AI-SDC/AI-SDC/pull/257">#257</a>)</li>
<li>Remove references to final score in outputs (<a href="https://github.com/AI-SDC/AI-SDC/pull/259">#259</a>)</li>
<li>Update package dependencies: remove support for Python 3.8; add support for Python 3.11 (<a href="https://github.com/AI-SDC/AI-SDC/pull/262">#262</a>)</li>
<li>Fix code coverage reporting (<a href="https://github.com/AI-SDC/AI-SDC/pull/265">#265</a>)</li>
<li>Remove useless pylint suppression pragmas (<a href="https://github.com/AI-SDC/AI-SDC/pull/269">#269</a>)</li>
<li>Fix axis labels in report ROC curve plot (<a href="https://github.com/AI-SDC/AI-SDC/pull/270">#270</a>)</li>
</ul>
AI-SDC
<p>Changes:</p>
<ul>
<li>Fix a bug related to the <code>rules.json</code> path when running from package (<a href="https://github.com/AI-SDC/AI-SDC/pull/247">#247</a>)</li>
<li>Update user stories (<a href="https://github.com/AI-SDC/AI-SDC/pull/247">#247</a>)</li>
</ul>
Human-AI Collaboration in Academic Writing: towards a Synergy Model and A Case to Include AI as a Co-Author
As generative AI systems such as ChatGPT and Gemini 2.5 become increasingly integrated into academic workflows, the question of their legitimacy, limitations, and potential in scholarly writing has become urgent. This paper presents a reflexive case study of a sustained collaboration between a domain expert in consciousness studies and Gemini 2.5, culminating in the co-authorship of a peer-reviewed research article. By analyzing exactly 37,440 words of recorded interactions, we identify patterns of synergy, including recursive refinement, conceptual amplification, and accelerated manuscript development. We argue that when guided by a knowledgeable human author, AI can act as a cognitive partner rather than a passive tool—amplifying scholarly creativity and improving efficiency without compromising academic rigor. The case supports a '1+1=3' synergy model for co-authorship, in which human steering and AI fluency converge to produce novel insights and polished output faster and more effectively than either could achieve alone. The findings advocate for a paradigm shift from prohibitive policies to the responsible, expert-guided integration of AI in academic research and writing, grounded in transparency and accountability, and present arguments for why the AI tool should be listed as a co-author despite current injunctions against such practice
Hou Hsiao-hsien\u27s The Puppetmaster
ESSENCE AND ELLIPSIS IN HOU HSIAO HSIEN\u27S THE PUPPETMASTER THE Puppetmaster (Hsimeng Rensheng, 1993), about the life of veteran puppeteer Li Tienlu, is a groundbreaking film by one of Taiwan\u27s foremost director Hou Hsiao-hsien. The biographical film portrays Li\u27s early life from his birth in 1909 until 1945, when fifty years of Japanese rule on the island came to end. Li, whom the director calls "a living encyclopaedia of Chinese tradition"(1) is seemly regarded as a "national treasure." No stranger to Hou\u27s films, Li has appeared in several of the director\u27s works since Dust in the Wind (1986). Hou\u27s themes are rooted in the daily lives of the Taiwanese, particularly rural life. His films have a nostalgic look to them but at the same time, an unmistakable feel of authenticity and originality born from a realist approach executed in a surprisingly stylized manner. In the film, Li Tienlu\u27s..
coqui-ai/TTS: v0.5.0
What's Changed
<ul>
<li>Fix some setup papercuts by @reuben in <a href="https://github.com/coqui-ai/TTS/pull/1022">https://github.com/coqui-ai/TTS/pull/1022</a></li>
<li>Add additional datasets by @loganhart420 in <a href="https://github.com/coqui-ai/TTS/pull/1021">https://github.com/coqui-ai/TTS/pull/1021</a></li>
<li>Add UK vocoder models by @erogol in <a href="https://github.com/coqui-ai/TTS/pull/1031">https://github.com/coqui-ai/TTS/pull/1031</a></li>
<li>Add multilingual models support by @erogol in <a href="https://github.com/coqui-ai/TTS/pull/1007">https://github.com/coqui-ai/TTS/pull/1007</a></li>
<li>Implement YourTTS by @WeberJulian and @Edresson </li>
<li>Fixes before YourTTS merge by @WeberJulian in <a href="https://github.com/coqui-ai/TTS/pull/1044">https://github.com/coqui-ai/TTS/pull/1044</a></li>
<li>Fix language assignment by @erogol in <a href="https://github.com/coqui-ai/TTS/pull/1047">https://github.com/coqui-ai/TTS/pull/1047</a></li>
<li>Fix if else statement by @erogol in <a href="https://github.com/coqui-ai/TTS/pull/1050">https://github.com/coqui-ai/TTS/pull/1050</a></li>
<li>Fix train_tts.py and uncomment code by @WeberJulian in <a href="https://github.com/coqui-ai/TTS/pull/1051">https://github.com/coqui-ai/TTS/pull/1051</a></li>
<li>v0.5.0 by @erogol in <a href="https://github.com/coqui-ai/TTS/pull/1027">https://github.com/coqui-ai/TTS/pull/1027</a></li>
</ul>
New Contributors
<ul>
<li>@reuben made their first contribution in <a href="https://github.com/coqui-ai/TTS/pull/1022">https://github.com/coqui-ai/TTS/pull/1022</a></li>
<li>@loganhart420 made their first contribution in <a href="https://github.com/coqui-ai/TTS/pull/1021">https://github.com/coqui-ai/TTS/pull/1021</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a href="https://github.com/coqui-ai/TTS/compare/v0.4.2...v0.5.0">https://github.com/coqui-ai/TTS/compare/v0.4.2...v0.5.0</a></p>
Vacuolar Invertases in Sweet Potato: Molecular Cloning, Characterization, and Analysis of Gene Expression
xinglab-ai/genomap: v1.2.12
<p>Version 1.2.12</p>
Commits
<ul>
<li>[28f75c38] Merge pull request #38 from tauhidstanford/main</li>
<li>[cefe8e2a] MATLAB 1.0.1</li>
</ul>
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