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

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.

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Numerical Treatment of Parametric Gradient Problems in Source Term by New difference Methods

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Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2018年第6期39卷 609-618页

作者： Shieh, Tzong-Hann Li, Meng-Rong Li, Yu-Tso Chen, Yung-Ting Department of Aerospace and Systems Engineering Feng Chia University 100 Wenhwa Rd. Seatwen Taichung Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University 100 Wenhwa Rd. Seatwen Taichung Taiwan Department of Mathematical Sciences National Chengchi University 64 Sec. 2 ZhiNan Rd. Wenshan District Taipei Taiwan Department of Mechanical Engineering Minghsin University of Science and Technology No.1 Xinxing Rd. Xinfeng Hsinchu30401 Taiwan

In this paper, we expand the energy equation of unsteady Euler equations as the form of mixture gas and carry out the numerical resolution through the FVM to discuss the nonphysical oscillations near the contact discontinuity interface and shock wave. We resolve the equations by using the AUSMdV Riemann solver with different flux limiters, the FVM and the second-order with two-step discrete-time stepping method. For the source term in the investigated Euler equations with multi-species, we discuss the facing problem of for the numerical treatment of gradient in different type and test the non-physical oscillation problem by establishing a new applied method of gradient control. © 2018, Chinese Mechanical Engineering Society. All right reserved.

关键词： Euler equations

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Immobilization of poly(hexamethylene biguanide) to cellulose acetate- and cellulose-based nanofiber membranes for antibacterial and cytotoxic studies

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Biochemical Engineering Journal 2024年 205卷

作者： dinh Thi My Huong Chi-Yun Wang Pin-Yi Chen Chien Wei Ooi Xue Er Crystal Thew Bing-Lan Liu Chen-Yaw Chiu Shen-Long Tsai Kuei-Hsiang Chen Yu-Kaung Chang Department Chemical Technology and Environment University of Technology and Education the University of Da Nang Da Nang City Viet Nam Department Chemical Engineering/ Graduate School of Biochemical Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan Department Chemical Engineering National Taiwan University of Science and Technology Taipei City 10607 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Bone and Joint Research Centre Chang Gung Memorial Hospital Taoyuan City 333423 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Chemical Engineering Department School of Engineering Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor 47500 Malaysia Advanced Engineering Platform School of Engineering Monash University Malaysia Jalan Lagoon Selatan 47500 Bandar Sunway Selangor Malaysia Department of Applied Chemistry Chaoyang University of Technology Taichung 413310 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Zhongli Dist Taoyuan City 320315 Taiwan

To develop the environmental antibacterial membrane, the physical attachments of poly (hexamethylene biguanide) hydrochloride (phMB) on the cellulose acetate (CA) and regenerated cellulose (RC) electrospun nanofiber membranes were employed. The immobilization of phMB increased the antibacterial efficacy ( AE , %) of nanofiber membranes from 65.67% to approximately 86.13% for CA-phMB and from 35.09% to approximately 100% for RC-phMB. The results of the chemical and physical characteristics indicate that the degree of deacetylation of CA nanofiber, the surface charge of the nanofiber, and the density of phMB immobilized onto the nanofiber primarily affect the antibacterial efficacy. The use of mathematical models, such as the Temkin equilibrium model for phMB immobilization and the Monod-type model for the relationship between antibacterial activity and immobilization density of phMB provides a deeper understanding of the interactions and kinetics involved. The rapid achievement of ∼100% AE after only 10 min of contact with Escherichia coli ( E. coli ) is a notable finding, indicating the quick and efficient antibacterial action of RC-phMB nanofiber membranes. Furthermore, maintaining approximately 100% AE after 20 days of storage underscores the long-term stability of phMB immobilized on RC nanofiber membranes. The findings suggest that RC-phMB holds great promise as an antibacterial material for biomedical applications, food packaging industries, and filtration or treatment of water.

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Publisher Correction: Atomistic mechanisms underlying the activation of the G protein-coupled sweet receptor heterodimer by sugar alcohol recognition

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Scientific reports 2019年第1期9卷 18996页

作者： Panupong Mahalapbutr Nitchakan darai Wanwisa Panman Aunchan Opasmahakul Nawee Kungwan Supot Hannongbua Thanyada Rungrotmongkol Structural and Computational Biology Research Unit Department of Biochemistry Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Program in Biotechnology Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Multidisciplinary Program of Petrochemistry and Polymer Science Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Computational Chemistry Center of Excellent Department of Chemistry Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Department of Chemistry Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand. Center of Excellence in Materials Science and Technology Chiang Mai University Chiang Mai 50200 Thailand. Structural and Computational Biology Research Unit Department of Biochemistry Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. t.rungrotmongkol@***. Ph.D. Program in Bioinformatics and Computational Biology Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. t.rungrotmongkol@***. Molecular Sensory Science Center Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. t.rungrotmongkol@***.

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

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Commuting planar polynomial vector fields for conservative Newton systems

arXiv

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arXiv 2018年

作者： Nagloo, Joel Ovchinnikov, Alexey Thompson, Peter Cuny Bronx Community College Department of Mathematics and Computer Science 2155 University Avenue BronxNY10453 United States Cuny Queens College Department of Mathematics 65-30 Kissena Blvd QueensNY11367 United States Cuny Graduate Center PH.D. Programs in Mathematics and Computer Science 365 Fifth Avenue New YorkNY10016 United States Cuny Graduate Center PH.D. Program in Mathematics 365 Fifth Avenue New YorkNY10016 United States

We study the problem of characterizing polynomial vector fields that commute with a given polynomial vector field on a plane. It is a classical result that one can write down solution formulas for an OdE that corresponds to a planar vector field that possesses a linearly independent commuting vector field. This problemis also central to the question of linearizability of vector fields. Let f ϵ K[x], where K is a field of characteristic zero, and d the derivation that corresponds to the differential equation x = f (x) in a standard way. Let also H be the Hamiltonian polynomial for d, that is H = 1 2 y2-R f (x)dx. It is known that the set of all polynomial derivations that commute with d forms a K[H]-module Md . In this paper, we show that, for every such d, the module Md is of rank 1 if and only if deg f ≥ 2. For example, the classical elliptic equation x = 6x2+a, where a ϵ ℂ, falls into this category.37J30, 13N10, 70H07 Copyright © 2018, The Authors. All rights reserved.

关键词： Hamiltonians

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Fast Feasible and Unfeasible Matrix Multiplication

arXiv

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arXiv 2018年

作者： Pan, Victor Y. Department of Computer Science Lehman College City University of New York BronxNY10468 United States Ph.D. Programs in Mathematics and Computer Science Graduate Center City University of New York New YorkNY10036 United States

Matrix-by-matrix multiplication (hereafter referred to as MM) is a fundamental operation omnipresent in modern computations in Numerical and Symbolic Linear Algebra. Its acceleration makes major impact on various fields of Modern Computation and has been a highly recognized research subject for about five decades. The researchers introduced amazing novel techniques, found new insights into MM and numerous related computational problems, and devised advanced algorithms that performed n × n MM by using less than O(n2.38) scalar arithmetic operations versus 2n3 − n2 of the straightforward MM, that is, more than half-way to the information lower bound n2. The record upper bound 3 of 1968 on the exponent of the complexity MM decreased below 2.38 by 1987 and has been extended to various celebrated problems in many areas of computing and became most extensively cited constant of the Theory of Computing. The progress in decreasing the record exponent, however, has virtually stalled since 1987, while many scientists are still anxious to know its sharp bound, so far restricted to the range from 2 to about 2.3728639. Narrowing this range remains a celebrated challenge. Acceleration of MM in the Practice of Computing is a distinct challenge, much less popular, but also highly important. Since 1980 the progress towards meeting the two challenges has followed two distinct paths because of the curse of recursion – all the known algorithms supporting the exponents below 2.38 or even below 2.7733 involve long sequences of nested recursive steps, which blow up the size of an input matrix. As a result all these algorithms improve straightforward MM only for unfeasible MM of immense size, greatly exceeding the sizes of interest nowadays and in any foreseeable future. It is plausible and surely highly desirable that someone could eventually decrease the record MM exponent towards its sharp bound 2 even without ignoring the curse of recursion, but currently there are two distinct challen

关键词： Computational complexity

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Identification of gene expression signatures for psoriasis classification using machine learning techniques

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Medicine in Omics 2021年 1卷

作者： Nguyen Quoc Khanh Le duyen Thi do Trinh-Trung-duong Nguyen Ngan Thi Kim Nguyen Truong Nguyen Khanh Hung Nguyen Thi Thu Trang Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei City 106 Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei City 106 Taiwan Graduate Institute of Biomedical Informatics Taipei Medical University Taipei City 106 Taiwan Department of Computer Science and Engineering Yuan Ze University Chung-Li 32003 Taiwan School of Nutrition and Health Sciences Taipei Medical University Taipei City 110 Taiwan International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei City 110 Taiwan Orthopedic and Trauma Department Cho Ray Hospital Ho Chi Minh City Viet Nam International PhD Program for Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei City 110 Taiwan

Psoriasis classification requires the accurate identification of the lesional types for the early and effective diagnosis and it is worth interesting that the normal and psoriasis cell tissues exhibit different gene expression. Therefore, gene expression data is an effective source for psoriasis classification and there is a challenge regarding the selection of suitable gene signatures for its purpose. In this present study, the gene expression-based microarray data were used and 35 expression features linked with psoriasis were utilized to feed into our machine learning model. Overall, the performance of our model based on 35 mentioned-above features surpassed that of other state-of-the-art classifiers with an average accuracy of 98.3%, recall of 98.6%, and precision of 98% in 5-fold cross-validation tests. We also validate our model on two different sets of psoriasis and the performance results are significant. These results have suggested that our 35 expression signatures have been identified as key features for classifying samples between lesion and non-lesion. More specifically, the expression levels of few genes i.e., FABP5 , TGM1 , or BCAR3 are discovered as newly potential biomarkers for psoriasis classification and treatment with high confidence. This study, therefore, could shed light on developing the prediction models for psoriasis classification and treatment using gene expression profiles.

关键词： Psoriasis classification Random forest Gene expression Feature selection Machine learning FABP5 dermatology

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Construct an Intelligent Evacuation Guidance System with Open System Architecture

Construct an Intelligent Evacuation Guidance System with Ope...

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2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI2018)

作者： Kun-Ming Yu Huan-Po Hsu Nien-En Chung Cheng-Chang Lien Shao-Tsai Cheng Ming-Yuan Lei Nancy Tsai Department of Computer Science and Information Engineering Chung Hua University Ph.D.Program in Engineering Science Chung Hua University Department of Construction Management Chung Hua University

Intelligent building and environment sensing technology are becoming more and more popular. Many office buildings use IoT to set up environment collection sensors to collect environmental information, however the way of evacuation inside still using traditional evacuation guidance equipment. Therefore, this study proposes an intelligent evacuation guidance system with open system architecture(IEGSOS), integrating with environment monitoring system and intelligent guidance equipment. The IEGSOS is developed based on the service-oriented architecture(SOA) and the data exchange technology is utilized to provide an integrated programming interface. By adopting the multimedia technology and integrating with the existing communication and guidance devices in environments, the optimal evacuation path is provided to the asylum in case of environmental crisis as a reference for safety evacuation at critical times.

关键词： evacuation guidance system service-oriented architecture application programing interface IoT

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Ugonin L ameliorates pulmonary fibrosis as a novel TβRs inhibitor by regulating the TGF-β/TβRs signaling and autophagy

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Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2025年 189卷

作者： Tzu-Lan Hsia Wei-Chung Chiou Hsiu-Chen Huang Hui-Kang Liu Jui-Chieh Chen Pin-Kuei Fu Cheng Huang Department of Biotechnology and Laboratory Science in Medicine National Yang Ming Chiao Tung University Taipei City 112304 Taiwan. Electronic address: karta2969922@***. Department of Biotechnology and Laboratory Science in Medicine National Yang Ming Chiao Tung University Taipei City 112304 Taiwan. Electronic address: ryanw.chiou@***. Center for Teacher Education National Tsing Hua University Hsinchu City 300044 Taiwan Department of Applied Science Nanda Campus National Tsing Hua University Hsinchu City 300044 Taiwan. Electronic address: hsiuchen@mx.nthu.edu.tw. Division of Basic Chinese Medicine National Research Institute of Chinese Medicine Ministry of Health and Welfare Taipei City 112304 Taiwan Ph.D. Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei City 110301 Taiwan. Electronic address: hk.liu@nricm.edu.tw. Department of Biochemical Science and Technology National Chiayi University Chiayi 600355 Taiwan. Electronic address: jcc@mail.ncyu.edu.tw. Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung City 402010 Taiwan Department of Medical Research Taichung Veterans General Hospital Taichung City 407219 Taiwan Integrated Care Center of Interstitial Lung Disease Taichung Veterans General Hospital Taichung City 407219 Taiwan. Electronic address: yetquen@***. Department of Biotechnology and Laboratory Science in Medicine National Yang Ming Chiao Tung University Taipei City 112304 Taiwan. Electronic address: chengh@ym.edu.tw.

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disease of unknown etiology, affecting about 3 million individuals worldwide. Significant risk factors for IPF include advanced age and infectious agents. Current FdA-approved antifibrotic drugs slow the progression of pulmonary fibrosis with limited outcomes in overall survival, highlighting the need for novel pharmacological agents. Ugonin L (UL), a cyclized geranylflavonoid derived from Helminthostachys zeylanica, has been reported to have anti-inflammatory and antioxidant activities. However, the therapeutic potential of UL for pulmonary fibrosis remains unexplored. In this study, we demonstrated that UL mitigated pulmonary fibrosis in bleomycin (BLM)-induced mice. Specifically, UL improved the alveolar-capillary barrier integrity, decreasing inflammatory cytokines (TGF-β1, TNF-α, IL-1β, IL-6) in bronchoalveolar lavage fluid (BALF). UL ameliorated lesions in BLM-induced fibrotic lungs, reducing radiological signs of lung injury, alveolar septal thickening, and collagen deposition. In RNA-seq analysis, UL downregulated genes related to cell migration and ECM remodeling in TGF-β1-induced LL29 human lung fibroblasts. In particular, UL decreased cell migration, fibrotic marker expression, MMP-2 activity, and myofibroblast activation. In molecular modeling, UL interacted with key pharmacophores and the putative ATP-binding sites of the TβRI and TβRII kinase domains. Correspondingly, UL reduced the phosphorylation of key mediators in both the canonical (SMAd2/3) and non-canonical (ERK1/2 and PI3K) TGF-β signaling pathways. Furthermore, UL downregulated the PI3K/Akt/mTOR axis and promoted autophagy in TGF-β1-induced LL29 cells. Taken together, our findings demonstrate that UL acts as a novel TβRs inhibitor and shows therapeutic potential for pulmonary fibrosis.

关键词： Autophagy Pulmonary fibrosis TGF-β signaling TβRs inhibitor Ugonin L

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Corrigendum to "Ultrafast absorption mechanism of oil-emulsified micelles onto ferrous absorbents with dielectrophoresis force in the presence of polarization" [J Hazard Mater 460 (2023) 132436]

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Journal of hazardous materials 2024年 464卷 132601页

作者： Chun-Yao Huang Feng-Yen Lin Chien-Hsing Lu Jem-Kun Chen Department of Materials Science and Engineering National Taiwan University of Science and Technology 43 Section 4 Keelung Road Taipei 106 Taiwan ROC Taipei Heart Institute Taipei Medical University 250 Wu-Hsing Street Taipei 110 Taiwan ROC Division of Cardiology and Cardiovascular Research Center Taipei Medical University Hospital 252 Wu-Hsing Street Taipei 110 Taiwan ROC Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University 250 Wu-Hsing Street Taipei 110 Taiwan ROC Department of Biomedical Sciences and Engineering National Central University 300 Zhongda Road Taoyuan City 320317 Taiwan ROC. Division of Cardiology and Cardiovascular Research Center Taipei Medical University Hospital 252 Wu-Hsing Street Taipei 110 Taiwan ROC. Department of Obstetrics and Gynecology Taichung Veterans General Hospital 1650 Taiwan Boulevard Sect. 4 Taichung 40705 Taiwan ROC Ph.D. Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine National Chung Hsing University Taichung Taiwan ROC. Taipei Heart Institute Taipei Medical University 250 Wu-Hsing Street Taipei 110 Taiwan ROC. Electronic address: jkchen@mail.ntust.edu.tw.

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