检索结果-内蒙古大学图书馆

2017 7th International Workshop on Computer science and engineering, WCSE 2017

作者： Lin, Bo-Wei Huang, ding-Ray Yang, Yun-Chung Huang, Yi-Chin Kiong, Ye Chin Lin, Jim-Min Tsai, Ming-Fong Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan Industrial Ph.D. Program of Internet of Things Feng Chia University Taichung Taiwan

ISBN: (纸本)9789811136719

The public bus service, which is one of the most frequently used public transportation methods, is an indispensable part of public lifestyle. Hence, government and companies have integrated the public bus service with smart device applications, enabling the public to check information such as bus schedules and instant information at any time. Their aim is to improve the efficiency of the public bus service. Unfortunately, their efforts have faced a variety of problems, such as the distrust of the public regarding the provided information, traffic situation, and unexpected incidents which disturb the bus schedule. In order to overcome the mentioned problems, a smart bus stop signboard system will be designed. The smart signboard will show the current position of the bus and provides a reservation service, which the public may access using smart devices. The proposed system allows bus drivers to obtain information about a particular bus stop to determine whether they should drive to that bus stop. Because the traffic situation and the embarkment and disembarkment of passengers affects the arrival time of the bus, the proposed system will take the change in the number of bus passengers and travel time into account in order to predict the arrival time of the bus.

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to "1,4-Naphthoquinones as inhibitors of Itch, a HECT domain-E3 ligase, and tumor growth suppressors in multiple myeloma" [Eur. J. Med. Chem. 140 (2017) 84-91]

引用

European journal of medicinal chemistry 2020年 202卷 112633页

作者： Yi-Min Liu Wei-Chun HuangFu Han-Li Huang Wei-Cheng Wu Yi-Lin Chen Yun Yen Hsiang-Ling Huang Chih-Ying Nien Mei-Jung Lai Shiow-Lin Pan Jing-Ping Liou School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan. The Ph.D. Program for Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Center for Translational Medicine Taipei Medical University Taiwan. The Ph.D. Program for Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Pharmacology College of Medicine Taipei Medical University Taipei Taiwan. Electronic address: slpan@tmu.edu.tw. School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan School of Pharmacy National Defense Medical Center Taipei Taiwan. Electronic address: jpl@tmu.edu.tw.

来源：评论

学校读者我要写书评

暂无评论

Multi-objective design of synthetic biological circuits

引用

IFAC-PapersOnLine 2017年第1期50卷 9871-9876页

作者： Lormeau C. Rybiński M. Stelling J. Department of Biosystems Science and Engineering ETH Zurich SIB Swiss Institute of Bioinformatics Life Science Zurich Ph.D. program ”Systems Biology” Basel 4058 Switzerland Department of Biosystems Science and Engineering ETH Zurich SIB Swiss Institute of Bioinformatics Basel 4058 Switzerland

Computational methods enable the design of synthetic biological circuits demonstrating a specific dynamic behavior. Current methods are based on the assembly of parts characterized in different contexts, which often fail to operate as predicted when combined. Here we introduce a circuit design method that compensates for parts uncertainty by identifying circuit topologies whose behavior is robust to variations in parameters. Our heuristic topological filtering approach efficiently yields robust circuit designs in a Bayesian framework, and enables to reliably assess trade-offs between performance, robustness, and experimental feasibility, thus increasing the probability of success of circuit implementation. © 2017

关键词： Biocybernetics Computer-aided circuit design Multiobjective optimisations Robustness Synthetic biology

来源：评论

学校读者我要写书评

暂无评论

Climate implication and adaptation measures for energy use in buildings – a scoping review

引用

IOP Conference Series: Earth and Environmental science 2019年第1期297卷

作者： A E Stagrum T Kvande A Engebø E Andenæs J Lohne Ph.D. candidate Department of Civil and Environmental Engineering Norwegian University of Science and Technology Trondheim Norway Professor Department of Civil and Environmental Engineering Norwegian University of Science and Technology Trondheim Norway Research scientist dr. art. Department of Civil and Environmental Engineering Norwegian University of Science and Technology Trondheim Norway

The purpose of the study is to investigate data on climate implication and adaptation measures for energy use in buildings. It is based on a scoping literature review, concerned mainly with the main journals operating in the field of climate adaptation of the built environment. Research documents that significant changes are taking place due to the implications of climatic change. Studies concerning climate change impact on energy use in buildings in warm climates represent the majority of the findings. The volume of research within the consequences for the built environment in cold regions is found to be surprisingly low, especially concerning the pecuniary stakes involved. However, significant regional differences are observed. Though further research is of essence, policy/regulatory measures ought already to be taken, based on climate scenarios.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to "L-selectin activation regulates Rho GTPase activity via Ca+2 influx in Sertoli cell line, ASC-17d cells"

引用

Biochemical and biophysical research communications 2021年 584卷 116页

作者： Ivan Limanjaya Tsung-I Hsu Jian-Ying Chuang Tzu-Jen Kao International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan. Graduate Institute of Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei Taiwan Research Center of Neuroscience Taipei Medical University Taipei Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan. TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan. Electronic address: chuangcy@tmu.edu.tw. Research Center of Neuroscience Taipei Medical University Taipei Taiwan. Electronic address: geokao@tmu.edu.tw.

来源：评论

学校读者我要写书评

暂无评论

RAB14 activates MAPK signaling to promote bladder tumorigenesis (vol 40, bgz039, 2019)

引用

CARCINOGENESIS 2019年第9期40卷 1177-1177页

作者： Chao, Haichao deng, Leihong Xu, Fanghua Fu, Bin Zhu, Zunwei dong, Zhifeng Liu, Yen-Nien Zeng, Tao Institute of Clinical Medicine Jiangxi Provincial People’s Hospital Affiliated to Nanchang University Nanchang P.R. China Medical Department of Graduate School Nanchang University Nanchang P.R. China Pathology Department Jiangxi Provincial People’s Hospital Affiliated to Nanchang University Nanchang P.R. China Department of Urology The First Affiliated Hospital of Nanchang University Nanchang P.R. China Department of Urology Jiangxi Provincial People’s Hospital Affiliated to Nanchang University Nanchang P.R. China Medical Department of Graduate School Nanchang University Nanchang P.R. China Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan To whom correspondence should be addressed. Tel: +886-2-2697-2035 ext 113. Fax: +886-2-26558562. Email: liuy@tmu.edu.tw Department of Urology Jiangxi Provincial People’s Hospital Affiliated to Nanchang University Nanchang P.R. China Correspondence may also be addressed to Tao Zeng. Tel: +861-791-86896225. Fax: +861-791-86895863. Email: taozeng40709@***

Bladder cancer (BC) is a fatal invasive malignancy accounting for approximately 5% of all cancer deaths in humans; however, the underlying molecular mechanisms and potential targeted therapeutics for BC patients remain unclear. We report herein that RAB14 was overexpressed in BC tissues and cells with high metastatic potential and its abundance was significantly associated with lymph node metastasis (P = 0.001), a high-grade tumor stage (P = 0.009), poor differentiation (P < 0.001) and unfavorable prognoses of BC patients (P = 0.003, log-rank test). Interference by RAB14 mediated a reduction in the TWIST1 protein and inhibited cell migration and invasion (P < 0.05). Moreover, silencing RAB14 reduced cell proliferation and induced apoptosis in vitro and suppressed tumorigenesis in a mouse xenograft model. We demonstrated that RAB14-promoted BC cancer development and progression were associated with activation of mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase signaling through upregulation of MAPK1/MAPK8 and downregulation of dual-specificity protein phosphatase 6/Src homology 2 domain containing transforming protein/Fos proto-oncogene, AP-1 transcription factor subunit (FOS). We provide evidence that RAB14 acts as a tumor promoter and modulates the invasion and metastatic potential of BC cells via activating the MAPK pathway.

关键词： apoptosis second heart sound s2 signal transduction cell proliferation bladder cancer cancer cell motility down-regulation mitogen-activated protein kinases mitogen activated protein kinase 1 phosphotransferases transplantation heterologous up-regulation (physiology) bladder mice neoplasms transcription factor tumorigenesis twist-related protein 1

来源：评论

学校读者我要写书评

暂无评论

Thermo-oxidative Reactivation of Active Coal Used in Streptomycin Production

引用

IOP Conference Series: Earth and Environmental science 2020年第3期459卷

作者： Y Y Simkin A I Lemeshevsky E V Karnaukhova Ph.D. in Engineering Science Safety of Life department Siberian State University of Science and Technology named after academician M. F. Reshetnev avenue named after Krasnoyarsky rabochy newspaper bld.31 Krasnoyarsk city 660037 Russian Federation University student Safety of Life department Siberian State University of Science and Technology named after academician M. F. Reshetnev avenue named after Krasnoyarsky rabochy newspaper bld.31 Krasnoyarsk city 660037 Russian Federation

The spent active coal of streptomycin production contains on its surface the remains of inorganic acids, organic-originated alcohols and waste products, spores, mycelium of Streptomyces griseus, which after entering the environment with wastewater cause a significant harm to it. The recycling of that coal and its reuse betters the economics of production and prevents harmful impurities from entering the environment together with that coal. Here it is demonstrated that thermal heating up to 300 °C allows to increase the adsorption activity according to methylene blue test and ph of aqueous extract of recycled sorbents close to the regulatory values, which raises the possibility of their re-use in the production of streptomycin. The raise of temperature more than 300 °C leads to decomposition of high-molecular organic substances on the surface of a coal with subsequent formation of a carbon film which covers the adsorbing pores and worsens the adsorption properties of active coal. After treatment with water vapor at a temperature of 800 °C the characteristics of the active coal meet the regulatory requirements of streptomycin production. Rational way to dispose an active coal which lost its recyclability is a burning at temperatures more than 800 °C. This completely neutralizes all the harmful impurities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

CXCR7 activation evokes the anti-Pd-L1 antibody against glioblastoma by remodeling CXCL12-mediated immunity

引用

Cell death & disease 2024年第6期15卷 434页

作者： Chan-Chuan Liu Wen-Bin Yang Chia-Hung Chien Cheng-Lin Wu Jian-Ying Chuang Pin-Yuan Chen Jui-Mei Chu Siao Muk Cheng Li-Ying Qiu Yung-Chieh Chang daw-Yang Hwang Chih-Yuan Huang Jung-Shun Lee Kwang-Yu Chang National Institute of Cancer Research National Health Research Institutes Tainan Taiwan. Research Center for Neuroscience Taipei Medical University Taipei Taiwan. Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan. School of Medicine I-Shou University Kaohsiung Taiwan. Department of Pathology National Cheng Kung University Hospital College of Medicine National Cheng-Kung University Tainan Taiwan. International Master Program in Medical Neuroscience Taipei Medical University Taipei Taiwan. Department of Biomedical Science and Environmental Biology Kaohsiung Medical University Kaohsiung Taiwan. School of Medicine Chang Gung University Taoyuan Taiwan. Department of Neurosurgery Keelung Chang Gung Memorial Hospital Keelung Taiwan. TMU Research Center of Cancer Translational Medicine Taipei Cancer Center Taipei Medical University Hospital College of Medicine Taipei Medical University Taipei Taiwan. Division of Neurosurgery Department of Surgery National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan. National Institute of Cancer Research National Health Research Institutes Tainan Taiwan. kwang2@nhri.edu.tw. Department of Oncology National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan. kwang2@nhri.edu.tw. Center of Cell Therapy National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan. kwang2@nhri.edu.tw.

The interaction between glioblastoma cells and glioblastoma-associated macrophages (GAMs) influences the immunosuppressive tumor microenvironment, leading to ineffective immunotherapies. We hypothesized that disrupting the communication between tumors and macrophages would enhance the efficacy of immunotherapies. Transcriptomic analysis of recurrent glioblastoma specimens indicated an enhanced neuroinflammatory pathway, with CXCL12 emerging as the top-ranked gene in secretory molecules. Single-cell transcriptome profiling of naïve glioblastoma specimens revealed CXCL12 expression in tumor and myeloid clusters. An analysis of public glioblastoma datasets has confirmed the association of CXCL12 with disease and Pd-L1 expression. In vitro studies have demonstrated that exogenous CXCL12 induces pro-tumorigenic characteristics in macrophage-like cells and upregulated Pd-L1 expression through NF-κB signaling. We identified CXCR7, an atypical receptor for CXCL12 predominantly present in tumor cells, as a negative regulator of CXCL12 expression by interfering with extracellular signal-regulated kinase activation. CXCR7 knockdown in a glioblastoma mouse model resulted in worse survival outcomes, increased Pd-L1 expression in GAMs, and reduced Cd8 T-cell infiltration compared with the control group. Ex vivo T-cell experiments demonstrated enhanced cytotoxicity against tumor cells with a selective CXCR7 agonist, VUF11207, reversing GAM-induced immunosuppression in a glioblastoma cell-macrophage-T-cell co-culture system. Notably, VUF11207 prolonged survival and potentiated the anti-tumor effect of the anti-Pd-L1 antibody in glioblastoma-bearing mice. This effect was mitigated by an anti-Cd8β antibody, indicating the synergistic effect of VUF11207. In conclusion, CXCL12 conferred immunosuppression mediated by pro-tumorigenic and Pd-L1-expressing GAMs in glioblastoma. Targeted activation of glioblastoma-derived CXCR7 inhibits CXCL12, thereby eliciting anti-tumor immunity and enha

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proton Radiation Studies on Conjugated Polymer Thin Films

Proton Radiation Studies on Conjugated Polymer Thin Films

引用

MRS Advances

作者： Lee, Harold O. Hasib, Muhammed Sun, Sam-Shajing Center for Materials Research Ph.D. Program in Materials Science and Engineering Norfolk State University NorfolkVA23504 United States Department of Chemistry Norfolk State University NorfolkVA23504 United States

Polymeric thin film based electronic and optoelectronic materials and devices are attractive for potential space and certain radiation related applications due to their inherent features such as being light weight, flexible, biocompatible and environmental friendly, etc. Proton radiation is a major form of ionizing radiation in space, yet very few literature and data are available on proton radiation effects on conjugated polymer systems. In this study, UV-Vis absorption spectra of several conjugated polymers and/or their composite thin films were measured and compared right before and after a 200 MeV proton beam irradiation at different dosages, and the results revealed that proton radiation has very little or negligible impact up to 800 Rads on the optoelectronic properties of several polymers and their composite thin films. Copyright © Materials Research Society 2017.

关键词： Conjugated polymers

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

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

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：