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Article ; Online: Editorial

Qian Xu / Jianping Liu

Frontiers in Medicine, Vol

The role of non-coding RNA in the diagnosis and treatment of infection induced gastrointestinal cancers

2023 Volume 10

Keywords	non-coding RNA ; infection ; cancer ; diagnosis ; treatment ; Medicine (General) ; R5-920
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analyzing the dynamics of social media texts using coherency network analysis

Ke Jiang / Qian Xu

Frontiers in Research Metrics and Analytics, Vol

a case study of the tweets with the co-hashtags of #BlackLivesMatter and #StopAsianHate

2023 Volume 8

Abstract: IntroductionThis study examines the associations between time series, termed “coherency,” using spectral analysis. Coherence squared, analogous to the squared correlation coefficient, serves as a metric to quantify the degree of interdependence and co- ... ...

Abstract	IntroductionThis study examines the associations between time series, termed “coherency,” using spectral analysis. Coherence squared, analogous to the squared correlation coefficient, serves as a metric to quantify the degree of interdependence and co-evolution of individual nodes.MethodsWe utilized spectral analysis to compute coherence squared, unveiling relationships and co-evolution patterns among individual nodes. The resultant matrix of these relationships was subjected to network analysis.ResultsBy conducting a case study analyzing tweets associated with the co-hashtags #StopAsianHate and #BlackLivesMatter, we present a novel approach utilizing coherency network analysis to investigate the dynamics of social media text. Frequency domain analysis aided in calculating coherence squared, effectively illustrating the relationships and co-evolution of individual nodes. Furthermore, an analysis of the phase spectrum's slope facilitated the determination of time lag and potential causality direction between highly co-evolved node pairs.DiscussionOur findings underline the potential of coherency network analysis in comprehending the intricate dynamics of social media text. This approach offers valuable insights into how topics, sentiments, or movements manifest and evolve within the digital realm. Future research should explore diverse datasets and domains to broaden our understanding of this novel analytical technique.
Keywords	coherency network analysis ; semantic network analysis ; social media text analysis ; hashtag activism ; tweet analysis ; Bibliography. Library science. Information resources ; Z
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Study on Technology Use for Sustainable Graduate Education Internationalization at Home

Qian Xu / Azzeddine Boudouaia

Sustainability, Vol 15, Iss 10621, p

Chinese Teachers’ Experiences and Perspectives

2023 Volume 10621

Abstract: Diverse innovative strategies for achieving sustainable internationalization have emerged as a consequence of the continuing development of education and technology. Several academic institutions in China have made the pursuit of international ... ...

Abstract	Diverse innovative strategies for achieving sustainable internationalization have emerged as a consequence of the continuing development of education and technology. Several academic institutions in China have made the pursuit of international recognition a central policy objective in an effort to achieve global prominence in the coming decades. This study aimed to explore the use of technology in promoting the sustainable internationalization of graduate education in China using teachers’ experiences and perspectives. In this regard, an assessment was conducted of the teachers’ experiences and perspectives on the aspects involved in the use of technology-based education for sustainable internationalization as well as the effect of these aspects on the internationalization of graduate education. The sample consisted of 806 teachers from different universities in China. A questionnaire was used to collect the data. The data analysis was carried out using SPSS 22, JASP and SmartPLS 4. The results showed that Chinese teachers had satisfactory experiences regarding the use of technology in internationalizing graduate education. Furthermore, teachers were highly satisfied with using technology to support collaborative online international learning, research cooperation, intercultural competence development and virtual mobility. The results also revealed that teachers were less likely to be satisfied with using technology to support open exchange programs and the internationalization of the curriculum. In addition, the results demonstrated that collaborative online international learning, research cooperation and intercultural competence development had a direct effect on the internationalization of graduate education. Based on the findings, it was concluded that the situation regarding graduate education in China is acceptable, while at the same time, support and more effort from the government and teachers are required.
Keywords	experience ; graduate education ; perspectives ; sustainable internationalization ; technology ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	370
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Circulating lung cancer biomarkers: From translational research to clinical practice.

Qian, Xu / Meng, Qing-He

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine

2023 Volume 46, Issue s1, Page(s) S27–S33

Abstract: Fundamental studies on biomarkers as well as developed assays for their detection can provide valuable information facilitating clinical decisions. For patients with lung cancer, there are established circulating biomarkers such as serum progastrin- ... ...

Abstract	Fundamental studies on biomarkers as well as developed assays for their detection can provide valuable information facilitating clinical decisions. For patients with lung cancer, there are established circulating biomarkers such as serum progastrin-releasing peptide (ProGRP), neuron-specific enolase (NSE), squamous cell carcinoma antigen (SCC-Ag), carcinoembryonic antigen (CEA), and cytokeratin-19 fragment (CYFRA21-1). There are also molecular biomarkers for targeted therapy such as epidermal growth factor receptor (EGFR) gene, anaplastic lymphoma kinase (ALK) gene, KRAS gene, and BRAF gene. However, there is still an unmet need for biomarkers that can be used for early detection and predict treatment response and survival. In this review, we describe the lung cancer biomarkers that are currently being used in clinical practice. We also discuss emerging preclinical and clinical studies on new biomarkers such as omics-based biomarkers for their potential clinical use to detect, predict, or monitor subtypes of lung cancer. Additionally, between-method differences in tumor markers warrant further development and improvement of the standardization and harmonization for each assay.
MeSH term(s)	Humans ; Lung Neoplasms/diagnosis ; Lung Neoplasms/genetics ; Biomarkers, Tumor/genetics ; Translational Research, Biomedical ; Antigens, Neoplasm ; Carcinoembryonic Antigen ; Keratin-19 ; Phosphopyruvate Hydratase ; Lung
Chemical Substances	antigen CYFRA21.1 ; Biomarkers, Tumor ; Antigens, Neoplasm ; Carcinoembryonic Antigen ; Keratin-19 ; Phosphopyruvate Hydratase (EC 4.2.1.11)
Language	English
Publishing date	2023-10-19
Publishing country	Netherlands
Document type	Review ; Journal Article
ZDB-ID	605825-5
ISSN	1423-0380 ; 0289-5447 ; 1010-4283
ISSN (online)	1423-0380
ISSN	0289-5447 ; 1010-4283
DOI	10.3233/TUB-230012
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Transcriptomic profiling of adding cobalt chloride to improve dendrobine-type total alkaloid production.

Qian, Xu / Qin, Yitong / Sarasiya, Surendra / Chen, Jishuang

Applied microbiology and biotechnology

2024 Volume 108, Issue 1, Page(s) 26

Abstract: Trichoderma longibrachiatum UN32 is known for its efficient production of dendrobine-type total alkaloids (DTTAs). This study aimed to determine the optimal medium composition for the UN32 strain using response surface methodology. Key factors, including ...

Abstract	Trichoderma longibrachiatum UN32 is known for its efficient production of dendrobine-type total alkaloids (DTTAs). This study aimed to determine the optimal medium composition for the UN32 strain using response surface methodology. Key factors, including glucose, beef extract, and CoCl
MeSH term(s)	Animals ; Cattle ; Culture Media/metabolism ; Acetyl Coenzyme A/metabolism ; Reactive Oxygen Species ; Fermentation ; Alkaloids ; Glucose
Chemical Substances	cobaltous chloride (EVS87XF13W) ; Culture Media ; dendrobine (2115-91-5) ; diethylenetriaminetetraacetic acid (13811-41-1) ; Acetyl Coenzyme A (72-89-9) ; Reactive Oxygen Species ; Alkaloids ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2024-01-03
Publishing country	Germany
Document type	Journal Article
ZDB-ID	392453-1
ISSN	1432-0614 ; 0171-1741 ; 0175-7598
ISSN (online)	1432-0614
ISSN	0171-1741 ; 0175-7598
DOI	10.1007/s00253-023-12869-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Optimization of College English Classroom Teaching Efficiency by Deep Learning SDD Algorithm

Wei Zhang / Qian Xu

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: In order to improve the teaching efficiency of English teachers in classroom teaching, the target detection algorithm in deep learning and the monitoring information from teachers are used, the target detection algorithm of deep learning Single Shot ... ...

Abstract	In order to improve the teaching efficiency of English teachers in classroom teaching, the target detection algorithm in deep learning and the monitoring information from teachers are used, the target detection algorithm of deep learning Single Shot MultiBox Detector (SSD) is optimized, and the optimized Mobilenet-Single Shot MultiBox Detector (Mobilenet-SSD) is designed. After analyzing the Mobilenet-SSD algorithm, it is recognized that the algorithm has the shortcomings of large amount of basic network parameters and poor small target detection. The deficiencies are optimized in the following partThrough related experiments of student behaviour analysis, the average detection accuracy of the optimized algorithm reached 82.13%, and the detection speed reached 23.5 fps (frames per second). Through experiments, the algorithm has achieved 81.11% in detecting students’ writing behaviour. This proves that the proposed algorithm has improved the accuracy of small target recognition without changing the operation speed of the traditional algorithm. The designed algorithm has more advantages in detection accuracy compared with previous detection algorithms. The optimized algorithm improves the detection efficiency of the algorithm, which is beneficial to provide modern technical support for English teachers to understand the learning status of students and has strong practical significance for improving the efficiency of English classroom teaching.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Influencing Factors of Enterprise R&D Investment

Yabin Yu / Qian Xu

Sustainability, Vol 14, Iss 5759, p

Post-Subsidy, Sustainability, and Heterogeneity

2022 Volume 5759

Abstract: Sustainable innovation is an important factor for enterprises to obtain core competitiveness in modern society, and only continuous R&D investment can ensure the smooth progress of enterprise innovation. Therefore, this study uses the post-subsidy data ... ...

Abstract	Sustainable innovation is an important factor for enterprises to obtain core competitiveness in modern society, and only continuous R&D investment can ensure the smooth progress of enterprise innovation. Therefore, this study uses the post-subsidy data of enterprise R&D investment released by Hangzhou Science and Technology Bureau to explore the influencing factors of R&D investment and its sustainability by Chinese high-tech enterprises. In contrast to previous research which mainly focused on the pre-subsidy, this study focuses on the post-subsidy policy of R&D investment sustainability. Empirical analysis methods, such as cross-sectional linear regression and the propensity-score-matching method, were used to draw the following conclusions: (1) The quantity and sustainability of R&D investment of enterprises are obviously unbalanced among regions. Regions where high-tech enterprises are concentrated have higher levels of R&D investment and sustainability than other regions. (2) Under different scales, there are significant differences in the amount and sustainability of R&D investment. Large enterprises have stronger R&D investment strength, while small enterprises have stronger R&D investment willingness. However, the effect of scale on R&D investment will be reduced by regional factors. (3) The evaluation of high-tech enterprises and the enterprises’ R&D investments affect each other. (4) The sustainability of enterprise R&D investment will be affected by enterprise heterogeneity factors, and in turn, the sustainability of enterprise R&D investment will also affect the amount of enterprise R&D investment. Based on the results, the study provides suggestions for the government to make more targeted policies.
Keywords	R&D investment ; post-subsidy ; sustainability ; heterogeneity ; China ; high-tech enterprises ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	338
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A bibliometric analysis of literatures in terms of WHO maternal morbidity definition

CHEN Meiyi / QIAN Xu

Shanghai yufang yixue, Vol 34, Iss 10, Pp 1014-

2022 Volume 1020

Abstract: ObjectiveThis study used bibliometrics to analyze the global application and research progress of the new WHO maternal morbidity definition.MethodsA Total of 13 literatures published by WHO-MMWG since 2013 were collected， and a total of 249 citing ... ...

Abstract	ObjectiveThis study used bibliometrics to analyze the global application and research progress of the new WHO maternal morbidity definition.MethodsA Total of 13 literatures published by WHO-MMWG since 2013 were collected， and a total of 249 citing references were identified by reference retrieval. Bibliometric method was used to analyze the distribution of the publication time， types， journals， authors， publication location， research location， research field and keywords through BibExcel and VOSviewer.ResultsThe number of the citing references showed a wavy increase. Gecatti J G was the author with the most publications （17）. Universidade Estadual de Campinas and the WHO Human Reproduction Programme were the two main author groups. Brazil was the study site with the most original research （21）. Pilot studies of Maternal WOICE tools have been conducted only in Brazil and Africa. Among the citing references， 26.1% of the research fields focused on obstetrics and gynecology， and 73.9% of the literature involved other research fields. There was no “non-severe maternal morbidity” as keywords in the literatures. The word “severe maternal morbidity” and “maternal near miss” had the highest number of co-occurrence （13）， Words related to postpartum mental health were new keywords， and related research is gradually increasing.ConclusionThere would be still a lot of research contents based on the WHO maternal morbidity definition. Maternal WOICE Tools has not piloted in high-income regions and China. The definition and concept of “non-severe maternal mortality” was not found in the literature， neither were the global consensus on the definition of “severe maternal mortality”. Postpartum mental health has become a research hotspot in recent years.
Keywords	maternal morbidity ; citing reference ; bibliometric analysis ; maternal morbidity measurement ; application status ; Medicine ; R
Subject code	001
Language	Chinese
Publishing date	2022-10-01T00:00:00Z
Publisher	Shanghai Preventive Medicine Association
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Public Awareness and Sentiment Analysis of COVID-Related Discussions Using BERT-Based Infoveillance

Tianyi Xie / Yaorong Ge / Qian Xu / Shi Chen

AI, Vol 4, Iss 16, Pp 333-

2023 Volume 347

Abstract: Understanding different aspects of public concerns and sentiments during large health emergencies, such as the COVID-19 pandemic, is essential for public health agencies to develop effective communication strategies, deliver up-to-date and accurate ... ...

Abstract	Understanding different aspects of public concerns and sentiments during large health emergencies, such as the COVID-19 pandemic, is essential for public health agencies to develop effective communication strategies, deliver up-to-date and accurate health information, and mitigate potential impacts of emerging misinformation. Current infoveillance systems generally focus on discussion intensity (i.e., number of relevant posts) as an approximation of public awareness, while largely ignoring the rich and diverse information in texts with granular information of varying public concerns and sentiments. In this study, we address this grand challenge by developing a novel natural language processing (NLP) infoveillance workflow based on bidirectional encoder representation from transformers (BERT). We first used a smaller COVID-19 tweet sample to develop a content classification and sentiment analysis model using COVID-Twitter-BERT. The classification accuracy was between 0.77 and 0.88 across the five identified topics. In the sentiment analysis with a three-class classification task (positive/negative/neutral), BERT achieved decent accuracy, 0.7. We then applied the content topic and sentiment classifiers to a much larger dataset with more than 4 million tweets in a 15-month period. We specifically analyzed non-pharmaceutical intervention (NPI) and social issue content topics. There were significant differences in terms of public awareness and sentiment towards the overall COVID-19, NPI, and social issue content topics across time and space. In addition, key events were also identified to associate with abrupt sentiment changes towards NPIs and social issues. This novel NLP-based AI workflow can be readily adopted for real-time granular content topic and sentiment infoveillance beyond the health context.
Keywords	public awareness ; sentiment analysis ; social media analytics ; infoveillance ; natural language processing ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	306
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Molecular Beam Epitaxy Growth of Quantum Wires and Quantum Dots

Xiaohui Li / Qian Xu / Ziyang Zhang

Nanomaterials, Vol 13, Iss 960, p

2023 Volume 960

Abstract: Molecular beam epitaxy technology has a significant advantage in semiconductor technology due to its strong controllability, especially for the preparation of materials such as quantum wires and quantum dots [.] ...

Abstract	Molecular beam epitaxy technology has a significant advantage in semiconductor technology due to its strong controllability, especially for the preparation of materials such as quantum wires and quantum dots [.]
Keywords	n/a ; Chemistry ; QD1-999
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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