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Integrated analysis reveals the protective mechanism and therapeutic potential of hyperbaric oxygen against pulmonary fibrosis

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Genes & Diseases 2023年第3期10卷 1029-1039页

作者： Yuan Yuan Guoqiang Qiao Jiajiao Zhou Yilu Zhou Yali Li Xia Li Zhenglin Jiang Yihua Wang Department of Neurophysiology and Neuropharmacology Institute of Special Environmental Medicine and Co-innovation Center of NeuroregenerationNantong UniversityNantongJiangsu 226019China Biological Sciences Faculty of Environmental and Life SciencesUniversity of SouthamptonSouthamptonSO171BJUnited Kingdom Institute for Life Sciences University of SouthamptonSouthamptonSO171BJUnited Kingdom

Idiopathic pulmonary fibrosis (IPF) is a dreadful, chronic, and irreversibly progressive disease leading to death with a few effective treatments. Our previous study suggested that repetitive hyperbaric oxygen (HBO) treatment alleviates bleomycin-induced pulmonary fibrosis in mice. Here, we investigated the protective mechanism of HBO treatment against pulmonary fibrosis using an integrated approach. Analyzing publicly available expression data from the mouse model of bleomycin-induced pulmonary fibrosis as well as IPF patients, several potential mechanisms of relevance to IPF pathology were identified, including increased epithelial-to-mesenchymal transition (EMT) and glycolysis. High EMT or glycolysis scores in bronchoalveolar lavage were strong independent predictors of mortality in multivariate analysis. These processes were potentially driven by hypoxia and blocked by HBO treatment. Together, these data support HBO treatment as a viable strategy against pulmonary fibrosis.

关键词： Epithelial-mesenchymal transition Hyperbaricoxygen Hypoxia Pulmonary fibrosis systematic analysis

A systematic analysis of the predicted human La protein targets identified a hepatitis B virus infection signature

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A systematic analysis of the predicted human La protein targ...

A systematic analysis of the predicted human La protein targets identified a hepatitis B virus infection signature

2013年中国临床药学学术年会暨第九届临床药师论坛

作者：汤静 LIU Gao-Lin Department of Pharmacy Shanghai First People’s HospitalSchool of MedicineShanghai JiaoTong University

＜正＞The human La（hLa） protein functions in RNA metabolism and is activated by casein kinase 2（CK2） phosphorylation.Hepatitis B virus（HBV） can exploit hLa to stabilize its RNA and promote its pathogenesis.To enhance our knowledge of host molecular pathways involved in HBV pathogenesis, a bioinformatic approach was used to generate an expression profile of all predicted target genes of CK2-activated hLa in HBV-infected cells.A computerized literature search was performed to identify English language studies of HBV,hLa,and CK2-related molecules.The data were pooled and the genes were classified in three functional groups by gene ontology（GO） analysis.HBV,hLa,and CK2 targets were predicted,respectively,by a computational method,followed by screening for matching gene symbols in the NCBI human sequences,and GO,pathway,and network analyses.hLa targets and respective networks in the viral mechanisms of HBV were obtained by the final integrative analysis.Thirty-seven hub genes were identified by overlap calculation,suggesting that hLa may play an important role in the development and progression of HBV through cytokine-cytokine receptor interaction,hematopoietic cell lineage,cell adhesion molecules（CAMs）,antigen processing and presentation,Jak-STAT signaling pathway,natural killer cell mediated cytotoxicity,apoptosis, T cell receptor signaling pathway,complement and coagulation cascades,protein export,and other pathways.Our data may help researchers to predict the molecular mechanisms of hLa in the development and progression of HBV through CK2 comprehensively.Moreover,the present data indicate that hLa-targets may be a series of promising candidates for HBV.

关键词： hepatitis B virus human La protein casine kinase 2 systematic analysis

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A systematic analysis of the predicted human La protein targ...

An analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records

2013年中国药学大会暨第十三届中国药师周

作者： TANG Jing LIU Gao-Lin Department of Pharmacy Shanghai First People’s Hospital School of Medicine Shanghai JiaoTong University

The human La （hLa） protein functions in RNA metabolism and is activated by casein kinase 2 （CK2） phosphorylation. Hepatitis B virus （HBV） can exploit hLa to stabilize its RNA and promote its pathogenesis. To enhance our knowledge of host molecular pathways involved in HBV pathogenesis, a bioinformatic approach was used to generate an expression profile of all predicted target genes of CK2-activated hLa in HBV-infected cells. A computerized literature search was performed to identify English language studies of HBV, hLa, and CK2-related molecules. The data were pooled and the genes were classified in three functional groups by gene ontology （GO） analysis. HBV, hLa, and CK2 targets were predicted, respectively, by a computational method, followed by screening for matching gene symbols in the NCBI human sequences, and GO, pathway, and network analyses. hLa targets and respective networks in the viral mechanisms of HBV were obtained by the final integrative analysis. Thirty-seven hub genes were identified by overlap calculation, suggesting that hLa may play an important role in the development and progression of HBV through cytokine-cytokine receptor interaction, hematopoietic cell lineage, cell adhesion molecules （CAMs）, antigen processing and presentation, Jak-STAT signaling pathway, natural killer cell mediated cytotoxicity, apoptosis, T cell receptor signaling pathway, complement and coagulation cascades, protein export, and other pathways. Our data may help researchers to predict the molecular mechanisms of hLa in the development and progression of HBV through CK2 comprehensively. Moreover, the present data indicate that hLa-targets may be a series of promising candidates for HBV.

关键词： hepatitis B virus human La protein casine kinase 2 systematic analysis

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1387-1422页

作者： Adil Hussain Seh Jehad F.Al-Amri Ahmad F.Subahi Alka Agrawal Nitish Pathak Rajeev Kumar Raees Ahmad Khan Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Umm Al-Qura UniversityMakkah21421Saudi Arabia Department of Information Technology Guru Gobind Singh Indraprastha UniversityDelhi110078India Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India Department of Computer Science and Engineering Babu Banarasi Das UniversityLucknow226028India

The adoption of sustainable electronic healthcare infrastructure has revolutionized healthcare services and ensured that E-health technology caters efficiently and promptly to the needs of the stakeholders associated with healthcare.Despite the phenomenal advancement in the present healthcare services,the major obstacle that mars the success of E-health is the issue of ensuring the confidentiality and privacy of the patients’data.A thorough scan of several research studies reveals that healthcare data continues to be the most sought after entity by cyber invaders.Various approaches and methods have been practiced by researchers to secure healthcare digital services.However,there are very few from the Machine learning(ML)domain even though the technique has the proactive ability to detect suspicious accesses against Electronic Health Records(EHRs).The main aim of this work is to conduct a systematic analysis of the existing research studies that address healthcare data confidentiality issues through ML approaches.B.A.Kitchenham guidelines have been practiced as a manual to conduct this work.Seven well-known digital libraries namely IEEE Xplore,Science Direct,Springer Link,ACM Digital Library,Willey Online Library,PubMed(Medical and Bio-Science),and MDPI have been included to performan exhaustive search for the existing pertinent studies.Results of this study depict that machine learning provides a more robust security mechanism for sustainable management of the EHR systems in a proactive fashion,yet the specified area has not been fully explored by the researchers.K-nearest neighbor algorithm and KNIEM implementation tools are mostly used to conduct experiments on EHR systems’log data.Accuracy and performance measure of practiced techniques are not sufficiently outlined in the primary studies.This research endeavour depicts that there is a need to analyze the dynamic digital healthcare environment more comprehensively.Greater accuracy and effective implementation of ML-based models are the need of the day for ensu

关键词： EHRs healthcare machine learning systematic analysis

Establishing distinctive theories and methods of design science rooted in Chinese traditional culture

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Frontiers of Mechanical Engineering 2020年第3期15卷 430-437页

作者： Huijun ZOU Qinghua LIANG School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

The human social development saw the formation of five unique civilizations,with the latter forming their own distinctive cultures.China’s traditional culture is its most fundamental ideological weapon for solving problems.The Chinese are good at comprehensive thinking,dialectical thinking,and systematic analysis.These ideological weapons can solve the problems of formal science and technology and create scientific and technological achievements on par with global advanced scale.Ancient China is filled with original scientific and technological achievements,which strongly prove ancient China’s possession of its own science and technology different from that of Western Renaissance.Therefore,a comprehensive understanding of science,technology,experience,and intuition is necessary.The long-held superstition regarding the West,the lack of confidence,self-denial,blind imitation of ideas,and shackles must be thrown away.Only then can we take the road toward an authentic Chinese creative design as we learn from others.

关键词： traditional Chinese culture comprehensive thinking systematic analysis Needham’s Grand Question ancient Chinese scientific and technological achievements design driving innovation design theoretical thinking design dialectical methods

Design of hospital healing gardens linked to pre- or post-occupancy research findings

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Frontiers of Architectural Research 2018年第3期7卷 395-414页

作者： Angeliki Triandafillou Paraskevopoulou Emmanouela Kamperi Laboratory of Floriculture & Landscape Architecture Department of Crop Science School of Agricultural Production Infrastructure and Environment Agricultural University of Athens lera Odos 75 11855 Athens Greece

This work examined the evidence-based design （EBD） and post-occupancy research of hospital healing gardens. The lack of statutory design guidelines raises concerns on how such gardens are created and whether they meet the intended design purpose. This issue is particularly important for hospitals because a neutral or even a negative effect on users can be generated. A systematic analysis of the literature in two databases （Scopus and Web of Science） was undertaken. Results showed that pre- and post-occupancy research findings on hospital healing garden design are sparse and design recommendations vary among users. Despite the tack of research on the design of healing gardens, the review showed that while post-occupancy research findings evaluate the effectiveness of design recommendations, pre-occupancy research findings, combined with site analysis, constitute a traditional approach followed in landscape architecture practice and determine the site and user features that must be addressed for each hospital. Pre- and post-research findings must be considered in the design process to create a “successful” healing garden. A summary of EBD recommendations for different users is presented, and the need to enrich the existing amount of EBD recommenda-tions is highlighted.

关键词： Evidence-baseddesign Post-occupancy eva-luation systematic analysis Landscape architec-ture practice

Lubei Ecological Industry Project:A Case Study in China

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Chinese Journal of Population,Resources and Environment 2004年第2期2卷 53-57页

作者： Feng JiutianShandon Lubei General Company of Enterprise Group,Wudi,Shandon,251909,China Shandong Lubei General Company of Enterprise Croup Wudi Shandong 251909 China

Lubei General Company of Enterprise Group, Shangdong Province, set up joint enterprises industrial ecosystem by sharing resources, symbiosis industry and compact structure. As an ecological industry park, the industrial ecosystem has been operated successfully with rich experiment and has become one of ecological industry examples in the world. Based on the case study of Lubei ecological industry project, components of industrial chains, matter recycle and conversion, energy cycle and multilevel utilization, systematic structure and impact factor identification are analyzed and summarized in this paper. The possible extension and development of Lubei ecological industry project in future is brought forward as well.

关键词： Lubei ecological industry project systematic analysis extension and development

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中国产业过度竞争的制度分析

国民经济管理

国民经济管理 2000年第8期 1-9页

作者：曹建海

在我国向市场经济体制转轨的过程中发生的许多产业过度竞争问题，主要是制度性原因造成的。对此，文章从产业规制松动、财税体制、预算软约束、投资主体多元化、技术创新、产业的结构性冲击以及企业退出障碍等七个方面对我国的产业过度... 详细信息

在我国向市场经济体制转轨的过程中发生的许多产业过度竞争问题，主要是制度性原因造成的。对此，文章从产业规制松动、财税体制、预算软约束、投资主体多元化、技术创新、产业的结构性冲击以及企业退出障碍等七个方面对我国的产业过度竞争问题进行了制度分析，以期寻求和设计出有效消除产生过度竞争诱因的机制及相应对策。

关键词：中国产业过度竞争制度分析 China industry exordinate competition systematic analysis

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基于系统分析的教育政策工具配置模型构建