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- 저자 : Peng-Sheng Ting (검색결과 3 건)
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Sheng-hai Zhang,Ying-zi Wang,Fan-yun Meng,You-lin Li,Cai-xia Li,Fei-peng Duan,Qing Wang,Xiu-ting Zhang,Chun-ni Zhang 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.5
Flavonoid glycosides are metabolized byintestinal bacteria, giving rise to a wide range of phenolicacids that may exert systemic effects in the body. Themicrobial metabolism of flavonoids extracted from theleaves of Diospyros kaki (FLDK) by intestinal bacteria wasinvestigated in vitro. High-performance liquid chromatography/linear trap quadrupole orbitrap mass spectrometrywas performed to analyze the metabolites of flavonoidsin vivo using Xcalibur2.1 software. The results showed thatthe levels of flavonoid glycosides and flavonoid aglyconesdecreased rapidly in the process of microbial metabolismby intestinal bacteria in vitro, and the metabolic rate maybe related to the concentration of intestinal bacteria in theculture solution. In vivo metabolites of FLDK weredetected in rat plasma and urine after oral administration ofFLDK. Eight flavonoids were identified in the urine, andthree were identified in the plasma; however, flavonoidaglycones were not found in the plasma.
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Structural health monitoring of innovative civil engineering structures in Mainland China
Li, Hong-Nan,Li, Dong-Sheng,Ren, Liang,Yi, Ting-Hua,Jia, Zi-Guang,LI, Kun-Peng Techno-Press 2016 Structural monitoring and maintenance Vol.3 No.1
This paper describes the backgrounds, motivations and recent history of structural health monitoring (SHM) developments to various types of engineering structures. Extensive applications of SHM technologies in bridges, high-rise buildings, sport avenues, offshore platforms, underground structures, dams, etc. in mainland China are summarily categorized and listed in tables. Sensors used in implementations, their deployment, damage identification strategies if applicable, preliminary monitoring achievements and experience are presented in the lists. Finally, existing problems and promising research efforts in civil SHM are discussed, highlighting challenges and future trends.
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Yee Hui Yeo,Jamil S. Samaan,Wee Han Ng,Peng-Sheng Ting,Hirsh Trivedi,Aarshi Vipani,Walid Ayoub,Ju Dong Yang,Omer Liran,Brennan Spiegel,Alexander Kuo 대한간학회 2023 Clinical and Molecular Hepatology(대한간학회지) Vol.29 No.3
Background/Aims: Patients with cirrhosis and hepatocellular carcinoma (HCC) require extensive and personalized care to improve outcomes. ChatGPT (Generative Pre-trained Transformer), a large language model, holds the potential to provide professional yet patient-friendly support. We aimed to examine the accuracy and reproducibility of ChatGPT in answering questions regarding knowledge, management, and emotional support for cirrhosis and HCC. Methods: ChatGPT’s responses to 164 questions were independently graded by two transplant hepatologists and resolved by a third reviewer. The performance of ChatGPT was also assessed using two published questionnaires and 26 questions formulated from the quality measures of cirrhosis management. Finally, its emotional support capacity was tested. Results: We showed that ChatGPT regurgitated extensive knowledge of cirrhosis (79.1% correct) and HCC (74.0% correct), but only small proportions (47.3% in cirrhosis, 41.1% in HCC) were labeled as comprehensive. The performance was better in basic knowledge, lifestyle, and treatment than in the domains of diagnosis and preventive medicine. For the quality measures, the model answered 76.9% of questions correctly but failed to specify decision-making cut-offs and treatment durations. ChatGPT lacked knowledge of regional guidelines variations, such as HCC screening criteria. However, it provided practical and multifaceted advice to patients and caregivers regarding the next steps and adjusting to a new diagnosis. Conclusions: We analyzed the areas of robustness and limitations of ChatGPT’s responses on the management of cirrhosis and HCC and relevant emotional support. ChatGPT may have a role as an adjunct informational tool for patients and physicians to improve outcomes.
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