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181 results on '"Li, Guan‐Cheng"'

1. Philanthropic supported innovation: trends, areas, and impact

Author

Li, Guan Cheng, He, Lingyun, and Fleming, Lee

Subjects
Philanthropy, Research, Innovation, Patenting, Library and Information Studies, Policy and Administration, Science Studies, Library and information studies, Applied mathematics
Abstract

Abstract: Philanthropy provides substantial support for science and research—does it do the same for technology and invention? We match patenting outcomes in the United States with philanthropic organizations as listed in the Candid database and find that at least 0.2% of U.S. patenting since 1976 received philanthropic support. After matching philanthropic patents to non-philanthropic patents based on technology, time, and the number of inventors, we find that philanthropic invention is more likely to be done by smaller teams and U.S. based inventors and less likely to rely on science research and non-U.S. prior art. Renewal rates are not significantly different from non-philanthropic patents and philanthropic patents are not more likely to be in underserved areas of technology. Philanthropic supported patents receive significantly fewer future prior art citations, thus implying that philanthropy supported patents are not exceptionally valuable.

Published
2023

6. Expand innovation finance via crowdfunding

Author

Sorenson, Olav, Assenova, Valentina, Li, Guan-Cheng, Boada, Jason, and Fleming, Lee

Subjects
Clinical Research, General Science & Technology
Abstract

Crowdfunding attracts venture capital to new regions

Published
2016

31. Global DNA hypomethylation is associated with the development and poor prognosis of tongue squamous cell carcinoma

Author

Chen, Hung‐Chih, primary, Yang, Cheng‐Mei, additional, Cheng, Jiin‐Tsuey, additional, Tsai, Kuo‐Wang, additional, Fu, Ting‐Ying, additional, Liou, Huei‐Han, additional, Tseng, Hui‐Hwa, additional, Lee, Jang‐Hwa, additional, Li, Guan‐Cheng, additional, Wang, Jyh‐Seng, additional, Hou, Yu‐Yi, additional, Weng, Ta‐Jung, additional, and Ger, Luo‐Ping, additional

Published
2015
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32. Understanding Large Text Corpora via Sparse Machine Learning

Author

El Ghaoui, Laurent, Pham, Vu, Li, Guan-Cheng, Duong, Viet-An, Srivastava, Ashok, Bhaduri, Kanishka, Department of Electrical Engineering and Computer Science [Berkeley] (EECS), University of California [Berkeley], University of California-University of California, IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT), NASA Advanced Supercomputing Division (NAS), NASA, and Netflix

Subjects
intelligent text understanding, [SPI]Engineering Sciences [physics], data mining, sparse machine learning, optimization
Abstract

International audience; Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. The approach has been successfully used in many areas, such as signal and image processing. This article posits that these methods can be extremely useful in the analysis of large collections of text documents, without requiring user expertise in machine learning. Our approach relies on three main ingredients: (i) multidocument text summarization; (ii) comparative summarization of two corpora, both using sparse regression or classification; (iii) sparse principal components and sparse graphical models for unsupervised analysis and visualization of large text corpora. We validate our methods using a corpus of Aviation Safety Reporting System (ASRS) reports and demonstrate that the methods can reveal causal and contributing factors in runway incursions. Furthermore, we show that the methods automatically discover four main tasks that pilots perform during flight, which can aid in further understanding the causal and contributing factors to runway incursions and other drivers for aviation safety incidents. We also provide a comparative study involving other commonly used datasets, and report on the competitiveness of sparse machine learning compared to state-of-the-art methods such as latent Dirichlet allocation (LDA).

Published
2013

33. Ten-eleven translocation 1 dysfunction reduces 5-hydroxymethylcytosine expression levels in gastric cancer cells.

Author

Wang, Kuo-Chiang, Kang, Chi-Hsiang, Tsai, Chung-Yu, Chou, Nan-Hua, Tu, Ya-Ting, Li, Guan-Cheng, Lam, Hing-Chung, Liu, Shiuh-Inn, Chang, Po-Min, Lin, Yan-Hwai, and Tsai, Kuo-Wang

Subjects
STOMACH cancer, METHYLCYTOSINE, DNA methylation, DEMETHYLATION, IMMUNOHISTOCHEMISTRY, CARCINOGENESIS, GENETICS
Abstract

A sixth base, 5-hydroxymethylcytosine (5hmC), is formed by the oxidation of 5-methylcytosine (5mC) via the catalysis of the ten-eleven translocation (TET) protein family in cells. Expression levels of 5hmC are frequently depleted during carcinogenesis. However, the detailed mechanisms underlying the depletion of 5hmC expression in gastric cancer cells remains unclear, and further research is required. The present study examined the expression levels of 5mC and 5hmC and the expression levels of TET1 and TET2 in gastric cancer tissues using immunohistochemistry. The results revealed that 5hmC expression levels were markedly lower in gastric cancer tissues compared with corresponding adjacent normal tissues. Furthermore, a decrease in 5hmC expression levels was associated with a decrease in TET1 protein expression levels in gastric cancer tissues. The ectopic expression level of TET1 may increase the 5hmC expression level in gastric cancer cells. In addition, the results revealed that TET1 protein expression was markedly different in regards to subcellular localization, and mislocalization was significantly associated with the depletion of 5hmC expression levels in gastric cancer. Together, the results of the present study indicated that TET1 dysfunction reduces 5hmC expression levels, and this phenomenon may serve a crucial role in gastric cancer progression. [ABSTRACT FROM AUTHOR]

Published
2018
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34. Mining Psychology from English News and Applications on Finance

Author

Li, Guan-Cheng

Abstract

ERATOセミナ2010 : No.29. 2010年12月17日, Our perceptions of the world are largely shaped by news media. Understanding the psychology of how media portray certain words is a critical step towards assessing media's influence on those perceptions. We implement a system which analyzes the 'image' of a given query word in a given corpus of news texts by producing a list of other words with which this query is strongly associated, which will be used to construct a covariance matrix amongst financial assets, based on their co-appearances on news. The presentation will cover theories of computational linguistics, machine learning, sentiment analysis, and implementation issues in real time news analysis.

Published
2011

40. Global DNA hypomethylation is associated with the development and poor prognosis of tongue squamous cell carcinoma.

Author

Chen, Hung ‐ Chih, Yang, Cheng ‐ Mei, Cheng, Jiin ‐ Tsuey, Tsai, Kuo ‐ Wang, Fu, Ting ‐ Ying, Liou, Huei ‐ Han, Tseng, Hui ‐ Hwa, Lee, Jang ‐ Hwa, Li, Guan ‐ Cheng, Wang, Jyh ‐ Seng, Hou, Yu ‐ Yi, Weng, Ta ‐ Jung, and Ger, Luo ‐ Ping

Subjects
DNA methylation, SQUAMOUS cell carcinoma, TONGUE cancer, CANCER-related mortality, CYTOSINE, PROGNOSIS, CELL differentiation, CARCINOGENESIS, HEAD tumors, HETEROCYCLIC compounds, IMMUNOHISTOCHEMISTRY, LYMPH nodes, METASTASIS, NECK tumors, SURVIVAL, TUMOR classification, TONGUE tumors, EPIGENOMICS, PHYSIOLOGY
Abstract

Backgrounds: Oral cancer is the 4th leading cause of cancer death for males and the top cancer in young adult males in Taiwan. Tongue squamous cell carcinoma (TSCC) is a common oral cancer and generally associated with poor prognosis. Global DNA hypomethylation at the 5 position of cytosine (5mC) is a well-known epigenetic feature of cancer. Therefore, the purpose of this study was to investigate the relationship of the global 5mC content with the tumorigenesis and prognosis of patients with TSCC.Methods: The levels of global 5mC were evaluated by immunohistochemistry using tissue microarray slides of 248 surgically resected TSCC and 202 corresponding tumor adjacent normal (TAN) tissues.Results: We found that the level of 5mC in TSCC (P < 0.001) was significantly decreased as compared to TAN. Among TSCC tissues, decreased levels of 5mC were associated with female gender (P = 0.036). In addition, the global hypomethylation was associated with the poor disease-specific survival in TSCC patients (adjusted hazard ratio: 1.55, P = 0.043), especially for patients in older age group (> 50 years, P = 0.013), with moderate or poor cell differentiation (P = 0.044), early stage of disease (I-II, P = 0.046), small tumor size (T1-T2, P = 0.005), without lymph node involvement (P = 0.041), and ever received postoperative radiotherapy (P = 0.009).Conclusions: Global hypomethylation was an independent biomarker for the development and poor prognosis of TSCC. [ABSTRACT FROM AUTHOR]

Published
2016
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42. LncRNAs: key players and novel insights into cervical cancer.

Author

Peng, Li, Yuan, Xiaoqing, Jiang, Binyuan, Tang, Zaili, and Li, Guan-Cheng

Abstract

Cervical cancer contributed the second highest number of deaths in female cancers, exceeded only by breast cancer, carrying high risks of morbidity and mortality. There was a great need and urgency in searching novel treatment targets and prognosis biomarkers to improve the survival rate of cervical cancer patients. Many long non-coding RNAs (lncRNAs) were emerging as pivotal regulators in various biological processes and took vitally an effect on the oncogenesis and progression of cervical cancer. In this review, we summarized the origin and overview function of lncRNAs; highlighted the roles of lncRNAs in cervical cancer in terms of prognosis and tumor progression, invasion and metastasis, apoptosis, and radio-resistance; and outlined the molecular mechanisms of lncRNAs in cervical cancer from the aspects of the interaction of lncRNAs with proteins/mRNAs (especially in HPV protein) and miRNAs, as well as RNA N-methyladenosine (m6A) methylation of lncRNAs. Meanwhile, the application of lncRNAs as biomarkers in cervical cancer prognosis and predictors for metastasis was also discussed. An overview of these researches will be valuable for broadening horizons into mechanisms, selection of meritorious biomarkers for diagnosis as well as prognosis, and future targeted therapy of cervical cancer. [ABSTRACT FROM AUTHOR]

Published
2016
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