检索结果-内蒙古大学图书馆

SSRN 2021年

作者： Luong, Huu dang Nguyen, Tan dung Le, Quang Hung Le, Ngoc Hoang Nguyen, Thi diem Truong, Nguyen Khanh Hung Luu, Ho Thanh Lam Nguyen, Thi Thuy Nga Le, Van Tuan Hung, Shih-Han Khanh, Nguyen Quoc Department of Otolaryngology Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh city Viet Nam Department of Rehabilitation Hospital of C Da Nang Da Nang city Viet Nam Department of Rehabilitation Da Nang University of Medical Technology and Pharmacy Da Nang city Viet Nam Department of Otolaryngology University Medical Center Ho Chi Minh city Viet Nam Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei City Taiwan Department of Otolaryngology Cai Lay Regional General Hospital Tien Giang province Viet Nam International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Orthopedic and Trauma Cho Ray Hospital Ho Chi Minh city Viet Nam Faculty of Nursing and Midwifery Hanoi Medical University Ha Noi Viet Nam Department of Otolaryngology School of Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Otolaryngology Wan-Fang Hospital Taipei Medical University Taipei city Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan

To shorten the clinical development process of a new drug or a combination of drugs in daily prescriptions, especially blockbuster drugs, predicting the effect of drug-drug interactions (ddIs) precisely is important for preventing adverse drug reactions and for more effective drug administration. Many computational algorithms have been developed to predict the effects of ddIs with the purpose of reducing hazards that can affect the health of patients in merging-medication therapies. In this research, we propose a comprehensive machine learning model to assist with the prediction of drug interactions in the histamine antagonist interaction-network. The data used in our research consisted of approved drugs of histamine antagonists that are connected to 67,317 ddI pairs in the drugBank database. The drug-drug interaction features were extracted using the SMILE structure combined with the PyBioMed module. We then applied five algorithms in the histamine antagonist interaction-network inference (HAINI) framework: Naive Bayes (NB), decision Tree (dT), Random Forest (RF), Logistic Regression (LR), and Multilayer Perceptron (MP) with fivefold cross-validation to approach a large-scale ddI prediction. The predictive performance shows that our model outperformed previously published works on ddI prediction with the best precision of 0.898, a recall of 0.792, and an F1-score of 0.836 among 51 well-known ddIs. An important finding of the study is that our prediction is based solely on the SMILE and thus can be applied at early stage of drug development. © 2021, The Authors. All rights reserved.

关键词： drug interactions

来源：评论

学校读者我要写书评

暂无评论

SENP2 restrains the generation of pathogenic Th17 cells in mouse models of colitis

Communications biology

引用

Communications biology 2023年第1期6卷 629页

作者： Tsan-Tzu Yang Ming-Feng Chiang Che-Chang Chang Shii-Yi Yang Shih-Wen Huang Nan-Shih Liao Hsiu-Ming Shih Wei Hsu Kuo-I Lin Graduate Institute of Immunology College of Medicine National Taiwan University Taipei 10002 Taiwan. Genomics Research Center Academia Sinica Taipei 11529 Taiwan. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. Institute of Molecular Biology Academia Sinica Taipei 11529 Taiwan. Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan. Forsyth Institute Harvard School of Dental Medicine Harvard Stem Cell Institute Harvard University Cambridge MA 02142 USA. Graduate Institute of Immunology College of Medicine National Taiwan University Taipei 10002 Taiwan. kuoilin@gate.sinica.edu.tw. Genomics Research Center Academia Sinica Taipei 11529 Taiwan. kuoilin@gate.sinica.edu.tw.

The molecular mechanisms contributing to the regulation of Th17-mediated inflammation remain underexplored. We here report a SUMO-specific protease (SENP)2-mediated pathway induced in pathogenic Th17 cells that restricts the pathogenesis of inflammatory colitis. SENP2 regulates the maturation of small ubiquitin-like modifiers (SUMO) and recycles SUMO from the substrate proteins. We find higher levels of SENP2 in pathogenic Th17 cells. By deleting Senp2 in T-cell lineages in mice, we demonstrate that the lack of Senp2 exacerbates the severity of experimental colitis, which is linked to elevated levels of GM-CSFIL-17A pathogenic Th17 cells and more severe dysbiosis of the intestinal microbiome. Adoptive transfer experiments demonstrate the cell-autonomous effect of Senp2 in restraining Th17 differentiation and colitis. The enzymatic activity of SENP2 is important for deSUMOylation of Smad4, which reduces Smad4 nuclear entry and Rorc expression. Our findings reveal a SENP2-mediated regulatory axis in the pathogenicity of Th17 cells.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The role of sentrin-specific protease 2 substrate recognition in TGF-β-induced tumorigenesis

引用

Scientific reports 2020年第1期10卷 9350页

作者： Che-Chang Chang Yen-Sung Huang Ying-Mei Lin Chia-Ju Lin Jen-Chong Jeng Shin-Mei Liu Tsai-Ling Ho Ruei-Ting Chang Chun A Changou Chun-Chen Ho Hsiu-Ming Shih Graduate Institute of Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. ccchang168@tmu.edu.tw. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. ccchang168@tmu.edu.tw. Ph.D Program in Biotechnology Research and Development College of Pharmacy Taipei Medical University Taipei 11031 Taiwan. ccchang168@tmu.edu.tw. Traditional Herbal Medicine Research Center of Taipei Medical University Hospital Taipei 11031 Taiwan. ccchang168@tmu.edu.tw. Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan. Graduate Institute of Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. The Ph.D. Program for Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. Graduate Institute of Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. hmshih@nhri.org.tw. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan. hmshih@nhri.org.tw. Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan. hmshih@nhri.org.tw. Institute of Molecular and Genomic Medicine National Health Research Institutes Miaoli County 35053 Taiwan. hmshih@nhri.org.tw.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

BTEX exposure and its body burden pose differential risks for asthma and its phenotypic clusters

引用

Allergy 2023年第7期78卷 2036-2040页

作者： Yuan-Ting Hsu Chao-Chien Wu Chin-Chou Wang Wen-Yu Chung Chau-Chyun Sheu Yi-Hsin Yang Ming-Yen Cheng Ruay-Sheng Lai Sum-Yee Leung Chi-Cheng Lin Yu-Feng Wei Ching-Hsiung Lin Sheng-Hao Lin Jeng-Yuan Hsu Wei-Chang Huang Chia-Cheng Tseng Yung-Fa Lai Meng-Hsuan Cheng Huang-Chi Chen Chih-Jen Yang Chian-Heng Su Chien-Jen Wang Shih-Chang Hsu Chih-Hsing Hung Chon-Lin Lee Ming-Shyan Huang Shau-Ku Huang National Institute of Environmental Health Sciences National Health Research Institutes Miaoli Taiwan. Department of Internal Medicine Division of Pulmonary and Critical Care Medicine Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan. Department of Public Health Kaohsiung Medical University Kaohsiung Taiwan. Department of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan. Department of Internal Medicine Division of Pulmonary and Critical Care Medicine Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung Taiwan. Department of Internal Medicine School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan. National Institute of Cancer Research National Health Research Institutes Tainan Taiwan. Department of Mathematics Hong Kong Baptist University Hong Kong China. Division of Chest Medicine Kaohsiung Veterans General Hospital Kaohsiung Taiwan. Department of Internal Medicine Chest Division Antai Medical Care Cooperation Antai Tian-Sheng Memorial Hospital Pingtung Taiwan. Department of Internal Medicine E-Da Cancer Hospital I-Shou University Kaohsiung Taiwan. Department of Internal Medicine Division of Chest Medicine Changhua Christian Hospital Changhua Taiwan. Institute of Genomics and Bioinformatics National Chung Hsing University Taichung Taiwan. Department of Recreation and Holistic Wellness MingDao University Changhua Taiwan. Department of Medical Research Division of Clinical Research Taichung Veterans General Hospital Taichung Taiwan. Department of Internal Medicine Division of Chest Medicine Taichung Veterans General Hospital Taichung Taiwan. Department of Medical Technology Jen-Teh Junior College of Medicine Nursing and Management Miaoli Taiwan. School of Medicine Chung Shan Medical University Taichung Taiwan. Ph.D. Program in Translational Medicine National Chung Hsing Universi

来源：评论

学校读者我要写书评

暂无评论

Growth kinetics of Saccharomyces cerevisiae and tape yeast on the cassava pulp fermentation

引用

Journal of physics: Conference Series 2020年第1期1500卷

作者： Beni Hidayat Udin Hasanudin M. Muslihudin Syamsu Akmal Siti Nurdjanah Neti Yuliana Agricultural Technology Department Politeknik Negeri Lampung 10 SoekarnoHatta Street Bandar Lampung 35144 Indonesia Ph.D. student of Agriculture Science Study Program University of Lampung 1 Soemantri Brojonegoro Street Bandar Lampung 35145 Indonesia Agricultural Product Technology Department Faculty of Agriculture University of Lampung 1 Soemantri Brojonegoro Street Bandar Lampung 35145 Indonesia

Saccharomyces cerevisiae is the most commonly used yeast in the fermentation process on high starch/carbohydrate substrates, for example, cassava pulp, a by-product from the tapioca industry. In addition to the pure culture of S. cerevisiae, the fermentation process of cassava pulp can be done using tape yeast (a consortium of yeast, fungal and bacteria). The objective of this research was to study the growth kinetics of S. cerevisiae and tape yeast on cassava pulp fermentation. The growth kinetics of Saccharomyces cerevisiae and tape yeast was observed through cells number, rate of starch degradation, rate of dietary fiber degradation, rate of cyanide degradation, and rate of protein formation. The research showed that the S. cerevisiae pure culture could grow better during cassava pulp fermentation compared to tape yeast, which is reflected by the logarithmic growth rate (up to 72 h versus 48 h). The difference in the growth rate between S. cerevisiae pure culture and tape yeast will cause a difference in starch degradation rate (73.02 mg/h versus 65.09 mg/h), dietary fiber degradation rate (87.33 mg/h versus 21.09 mg/h), cyanide degradation rate (92.57.10−2 ppm/h versus 97.49.10−2 ppm/h), protein formation rate (48.92 mg/h versus 50.08 mg/h).

关键词： cassava pulp fermentation food growth kinetics S. cerevisiae tape yeast

来源：评论

学校读者我要写书评

暂无评论

Mediation analysis for TNF-α as a mediator between multiple metal exposure and kidney function

引用

Ecotoxicology and environmental safety 2024年 283卷 116837页

作者： Kuei-Hau Luo Hung-Pin Tu Huang-Chih Chang Chen-Cheng Yang Wei-Chun Weng Tzu-Hua Chen Cheng-Hong Yang Hung-Yi Chuang Graduate Institute of Medicine College of Medicine Kaohsiung Medicine University Kaohsiung City 807 Taiwan. Department of Public Health and Environmental Medicine School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 807 Taiwan. Divisions of Pulmonary & Critical Care Medicine Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan. Graduate Institute of Medicine College of Medicine Kaohsiung Medicine University Kaohsiung City 807 Taiwan Department of Occupational Medicine Kaohsiung Municipal Siaogang Hospital Kaohsiung Medical University Kaohsiung 812 Taiwan. Division of Gastroenterology Department of Internal Medicine Kaohsiung Armed Forces General Hospital Kaohsiung 802 Taiwan. Department of Family Medicine Kaohsiung Municipal Ta-Tung Hospital Kaohsiung 801 Taiwan. Department of Information Management Tainan University of Technology Tainan 71002 Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung 80778 Taiwan. Department of Public Health and Environmental Medicine School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 807 Taiwan Department of Occupational and Environmental Medicine Kaohsiung Medicine University Hospital Kaohsiung Medicine University Kaohsiung 807 Taiwan Ph.D. Program in Environmental and Occupational Medicine College of Medicine and Research Center for Precision Environmental Medicine Kaohsiung Medical University Kaohsiung 807 Taiwan. Electronic address: ericch@kmu.edu.tw.

The association between metal mixtures and kidney function has been reported. However, reports on the mechanism of metal toxicity were limited. Oxidative stress was reported as a possible cause. This study aimed to determine the association between of kidney function and metals, such as arsenic (As), cadmium (Cd), cobalt (Co), copper (Cu), lead (Pb), selenium (Se), and zinc (Zn), and to explore the possible mediating role of tumor necrosis factor alpha (TNF-α) between metal toxicity and kidney function. In this study, we recruited 421 adults from a health examination. The concentration of blood metals was analyzed using inductively coupled plasma mass spectrometry. We used linear regression models to assess the association between metals and TNF-α. Then, mediation analysis was applied to investigate the relationship between metal exposure, TNF-α, and kidney function. In univariate linear regression, blood As, Cd, Co, Cu, Pb, and Zn levels significantly increased TNF-α and decreased kidney function. Higher blood As and Pb levels significantly increased TNF-α in multivariable linear regressions after adjusting for covariates. We found that blood levels of As (coefficients = -0.021, p = 0.011), Pb (coefficients = -0.060, p < 0.001), and Zn (coefficients = -0.230, p < 0.001) showed a significant negative association with eGFR in the multiple-metal model. Furthermore, mediation analysis showed that TNF-α mediated 41.7 %, 38.8 %, and 20.8 % of blood Cd, As and Pb, respectively. Among the essential elements, TNF-α mediated 24.5 %, 21.5 % and 19.9 % in the effects of blood Co, Cu, and Zn on kidney function, respectively. TNF-α, acting as a mediator, accounted for 20.1 % of the contribution between the WQS score of metal mixtures and the eGFR (p < 0.001). This study suggested that TNF-α may be a persuasive pathway mediating the association between metals and kidney function. Inflammation and kidney injury could be the underlying mechanisms of metal exposure. However, there i

关键词： Kidney function Mediation analysis Metals Pb TNF-α

来源：评论

学校读者我要写书评

暂无评论

Correction to: Assessment of Geotechnical Properties and determination of Shear Strength Parameters

引用

Geotechnical and Geological engineering 2020年第1期39卷 479-479页

作者： Ghoreishi, Benyamin Esfahani, Mohammad Khaleghi Lushabi, Nargess Alizadeh Amini, Omid Aghamolaie, Iman Hashim, Nik Alif Amri Nik Alizadeh, Seyed Mehdi Seyed School of Railway Engineering Iran University of Science and Technology Tehran Iran M.Sc. Graduate of Engineering Geology University of Isfahan Isfahan Iran M.Sc. Graduate of Structural Geology Shahrood University of Technology Shahrood Iran Faculty of Civil and Surveying Engineering Graduate University of Advanced Technology Kerman Iran Ph.D. Department of Geology Faculty of Science Shahid Bahonar University Kerman Iran Faculty of Hospitality Tourism and Wellness University Malaysia Kelantan Kelantan Malaysia Petroleum Engineering Department Australian College of Kuwait West Mishref Kuwait

In the original publication of the article, the first author name was incorrectly published as “Benyamin Ghoreishii”. However, the correct name is “Benyamin Ghoreishi”. The original article has been corrected.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Application of Last Observation Carried Forward Method for Missing data Estimation in the Context of Industrial Wireless Sensor Networks

The Application of Last Observation Carried Forward Method f...

引用

IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Hong Zhou Kun-Ming Yu Ming-Gong Lee Chin-Chuan Han Ph.D. Program in Engineering Science College of Engineering Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan Leisure and Recreation Management Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering National United University Miaoli Taiwan

Thanks to advances in wireless communication technologies, the wireless sensor network (WSNs) have been attracting a lot of attention from academic communities and successfully applied to various domains. Along with developments of the Industry 4.0, the WSNs start to play a vital role in the construction of smart factories and realization of intelligent manufacturing. Although, the industrial WSNs (IWSNs) presents great quantity of advantages, there still have some drawbacks to overcome such as challenges of the quality of data for IWSNs. In order to resolve the data missing problems in the context of IWSNs, the Last Observation Carried Forward method is adopted to estimate the missing value and reconstruct the sensing dataset which takes into account the temporal characteristics of sensing data in IWSNs. Through experiments, this method is proved to be an easy and effective measurement for missing value imputation of the large multi-dimensional sensing data achieved by the IWSNs.

关键词： Wireless sensor networks Estimation Industries Temperature sensors Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

The design of Automatic Bird data Capture Systems

The Design of Automatic Bird Data Capture Systems

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chia-Yuan Lin Yi-Chun Lin Che-Jui Chang Chi-Feng Chen Ming-Fong Tsai Department of Information Engineering and Computer Science Feng Chia University Taiwan Information and Communications Research Laboratories Industrial Technology Research Institute Taiwan Industrial Ph.D. Program of Internet of Things Feng Chia University Taiwan Departrnent of Electronic Engineering National United University Taiwan

This paper implements an automatic bird data capture system which uploads data captured from social network websites to the server and stores them in the database. When using the Facebook API to capture data of interest, the system needs to filter the captured data to avoid false data storage. This paper takes building an automatic system that includes reinforcing the training database of the bird community as a top priority.

关键词： Birds databases Facebook Machine learning Servers System implementation

来源：评论

学校读者我要写书评

暂无评论

Correction: Excess glucose alone depress young mesenchymal stromal/stem cell osteogenesis and mitochondria activity within hours/days via NAd+/ SIRT1 axis

引用

Journal of biomedical science 2024年第1期31卷 61页

作者： B Linju Yen Li-Tzu Wang Hsiu-Huang Wang Chin-Pao Hung Pei-Ju Hsu Chia-Chi Chang Chien-Yu Liao Huey-Kang Sytwu Men-Luh Yen Regenerative Medicine Research Group Institute of Cellular & System Medicine National Health Research Institutes (NHRI) No.35 Keyan Road Zhunan 35053 Taiwan. blyen@nhri.edu.tw. Department of Obstetrics & Gynecology National Taiwan University (NTU) Hospital & College of Medicine NTU No.1 Section 1 Jen‑Ai Road Taipei 10051 Taiwan. School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University No. 250 Wuxing Street Taipei 11042 Taiwan. Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University No.250 Wuxing Street Taipei 11042 Taiwan. Regenerative Medicine Research Group Institute of Cellular & System Medicine National Health Research Institutes (NHRI) No.35 Keyan Road Zhunan 35053 Taiwan. Graduate Institute of Life Sciences National Defense Medical Center (NDMC) No.161 Section Minquan East Road Taipei 11490 Taiwan. National Institute of Infectious Diseases & Vaccinology NHRI No.35 Keyan Road Zhunan 35053 Taiwan. Graduate Institute of Microbiology & Immunology NDMC No.161 Section 6 Minquan East Road Taipei 11490 Taiwan. Department of Obstetrics & Gynecology National Taiwan University (NTU) Hospital & College of Medicine NTU No.1 Section 1 Jen‑Ai Road Taipei 10051 Taiwan. mlyen@ntu.edu.tw.

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：