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  1. Book ; Online ; E-Book: Clinical guide to gastroenterology

    Chen, Yang / Pitcher, Maxton

    (Clinical guides)

    2020  

    Author's details edited by Yang Chen, Maxton Pitcher
    Series title Clinical guides
    Keywords Gastrointestinal Diseases / diagnosis ; Diagnostic Techniques, Digestive System
    Language English
    Size 1 Online-Ressource (xvi, 465 Seiten), Illustrationen
    Publisher Wiley Blackwell
    Publishing place Hoboken, NJ
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020079895
    ISBN 978-1-119-18917-6 ; 978-1-119-18918-3 ; 9781119189169 ; 1-119-18917-9 ; 1-119-18918-7 ; 1119189160
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Towards tree-level evapotranspiration estimation with small UAVs in precision agriculture

    Niu, Haoyu / Chen, YangQuan

    2022  

    Author's details Haoyu Niu and YangQuan Chen
    Keywords Precision farming ; Evapotranspiration/Measurement ; Drone aircraft in remote sensing
    Subject code 631
    Language English
    Size 1 online resource (176 pages)
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-031-14937-8 ; 9783031149368 ; 978-3-031-14937-5 ; 303114936X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Influence of Different Particle Sizes of Sediments on the Lower Reaches of the Basin and its Significance in the Liao River Governance

    Chen Yang

    Nature Environment and Pollution Technology, Vol 22, Iss 1, Pp 417-

    2023  Volume 426

    Abstract: Based on the sand volume and sedimentation volume data for different particle size (PS) groups, the relationship between the annual scouring and silting amount of the Juliu River-Liujianfang section and the yearly sediment volume entering the downstream ... ...

    Abstract Based on the sand volume and sedimentation volume data for different particle size (PS) groups, the relationship between the annual scouring and silting amount of the Juliu River-Liujianfang section and the yearly sediment volume entering the downstream river channel was established. The critical values of sediment storage and release for the downstream river channel were obtained. It was found to decrease with an increase in the sediment particle size. The correlation coefficient between the annual scouring and silting amount of the Juliu River-Liujianfang section and the annual sediment volume entering the downstream river channel increased with the coarsening of sediment PS. It indicated that the sediment size was proportional to the sediment amount (SA) entering the river channel. As the sediment size increased, the deposition amount increased due to the variation of unit sediment amount. Based on the treatment and achievement of source areas with sediment sizes larger than 0.05 mm, it is significant to concentrate on treatment areas with sediment sizes larger than 0.10 mm.
    Keywords channel deposit ; sediment size ; sediment storage ; geomorphology ; liao river ; Environmental effects of industries and plants ; TD194-195 ; Science (General) ; Q1-390
    Subject code 550 ; 333
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Technoscience Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Bridging the new drug access gap between China and the United States and its related policies.

    Zhu, Xingyue / Chen, Yang

    Frontiers in pharmacology

    2024  Volume 14, Page(s) 1296737

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2024-01-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1296737
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Enhanced Heterogeneous Graph Attention Network with a Novel Multilabel Focal Loss for Document-Level Relation Extraction.

    Chen, Yang / Shi, Bowen

    Entropy (Basel, Switzerland)

    2024  Volume 26, Issue 3

    Abstract: Recent years have seen a rise in interest in document-level relation extraction, which is defined as extracting all relations between entities in multiple sentences of a document. Typically, there are multiple mentions corresponding to a single entity in ...

    Abstract Recent years have seen a rise in interest in document-level relation extraction, which is defined as extracting all relations between entities in multiple sentences of a document. Typically, there are multiple mentions corresponding to a single entity in this context. Previous research predominantly employed a holistic representation for each entity to predict relations, but this approach often overlooks valuable information contained in fine-grained entity mentions. We contend that relation prediction and inference should be grounded in specific entity mentions rather than abstract entity concepts. To address this, our paper proposes a two-stage mention-level framework based on an enhanced heterogeneous graph attention network for document-level relation extraction. Our framework employs two different strategies to model intra-sentential and inter-sentential relations between fine-grained entity mentions, yielding local mention representations for intra-sentential relation prediction and global mention representations for inter-sentential relation prediction. For inter-sentential relation prediction and inference, we propose an enhanced heterogeneous graph attention network to better model the long-distance semantic relationships and design an entity-coreference path-based inference strategy to conduct relation inference. Moreover, we introduce a novel cross-entropy-based multilabel focal loss function to address the class imbalance problem and multilabel prediction simultaneously. Comprehensive experiments have been conducted to verify the effectiveness of our framework. Experimental results show that our approach significantly outperforms the existing methods.
    Language English
    Publishing date 2024-02-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26030210
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Effect of high efficiency vulcanizing agent on vulcanization kinetic parameters and mechanical relaxation properties of neoprene

    WANG Chen-yang, DENG Tao

    Hecheng xiangjiao gongye, Vol 46, Iss 3, Pp 241-

    2023  Volume 247

    Abstract: Chloroprene rubber vulcanizates containing different types and amounts of curing systems were prepared by mechanical blending, and the effects of a new high-efficiency curing agent, ferric acetylacetonate [Fe(acac)3] on the curing mechanism, kinetic ... ...

    Abstract Chloroprene rubber vulcanizates containing different types and amounts of curing systems were prepared by mechanical blending, and the effects of a new high-efficiency curing agent, ferric acetylacetonate [Fe(acac)3] on the curing mechanism, kinetic parameters and mechanical relaxation behavior of chloroprene rubber were investigated. The results showed that the Fe(acac)3 curing system had the characteristics of being able to participate in the vulcanization cycle during the vulcanization process when Fe(acac)3 of 0.10 phr (mass, similarby hereinafter)was used, chloroprene rubber could be vulcanized efficiently. Compared with the traditional metal oxide curing system, the tensile strength was higher and the equilibrium value of tensile stress relaxation of the vulcanizate was larger when Fe(acac)3 of only 0.25 phr was used. After 3 d of thermo-oxidative aging at 100 ℃, the vulcanizates still maintained a high compressive stress relaxation equilibrium value due to the characteristics that Fe(acac)3 curing system was capable of participating in the vulcanization process circularly.
    Keywords chloroprene rubber ; mechanical blending ; ferric acetylacetonate ; vulcanization mechanism ; kinetic parameters of vulcanization reaction ; physical and mechanical property ; relaxation properties ; Organic chemistry ; QD241-441 ; Chemical engineering ; TP155-156 ; Chemicals: Manufacture ; use ; etc ; TP200-248
    Subject code 620
    Language Chinese
    Publishing date 2023-05-01T00:00:00Z
    Publisher Editorial Office of China Synthetic Rubber Industry
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Multiprofessional leadership development: reflections from a doctor in training.

    Chen, Yang

    BMJ leader

    2020  Volume 5, Issue 1, Page(s) 6–8

    Abstract: Background: In July 2020, the National Health Service (NHS) People Plan was refreshed, giving further impetus to staff development and leadership training. Through a series of interwoven tales, I discuss my own journey of leadership development and ... ...

    Abstract Background: In July 2020, the National Health Service (NHS) People Plan was refreshed, giving further impetus to staff development and leadership training. Through a series of interwoven tales, I discuss my own journey of leadership development and offer an analysis of the value of dedicated courses and the importance of providing this to the wider workforce.
    Story of self: I am a doctor in training and was among the first three cohorts placed onto the new Rosalind Franklin programme, organised by the NHS Leadership Academy. I share my key reflections of the impact of this course on my personal and professional development.
    Story of us: My cohort contained professionals from a diverse range of backgrounds-their challenges, views and insights contrasted greatly with my own. Having the protected time to build trust, form teams and discuss issues that crossed organisational boundaries provided novel insights that helped all of us.
    Story of now: As the COVID-19 pandemic has taken hold, we are in a state of extreme flux. As a result, I have become aware of how important it is to marry expertise with generalist skills and knowledge of the wider healthcare system. Enduring the initial surge of COVID-19 was about staff working together and blending specialism with generalist pragmatism. The ability to harness and sustain this type of working will represent a legacy from COVID-19 that is positive and one which galvanises our greatest asset-the talents and experiences of our diverse workforce-in order to meet future healthcare challenges.
    Language English
    Publishing date 2020-09-07
    Publishing country England
    Document type Journal Article
    ISSN 2398-631X
    ISSN (online) 2398-631X
    DOI 10.1136/leader-2020-000253
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Pandemic effects to autonomous vehicles test operations in California.

    Tan, Adrian Chen Yang

    PloS one

    2022  Volume 17, Issue 3, Page(s) e0264484

    Abstract: Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected ... ...

    Abstract Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Covid-19 pandemic starting in March 2020 has serve to halt, change, or delay the achievement of these new product development test objectives. This study draws on data obtained from the California automated vehicle test program to determine the extent that testing trends, test resumptions, and test environments have been affected by the pandemic. The importance of government policies to support and enable autonomous vehicles development during pandemic conditions is highlighted.
    MeSH term(s) Accidents, Traffic/prevention & control ; Accidents, Traffic/trends ; Automation/economics ; Automation/methods ; Automobile Driving/statistics & numerical data ; Autonomous Vehicles/statistics & numerical data ; COVID-19/economics ; California ; Humans ; Mechanical Tests/economics ; Mechanical Tests/methods ; User-Centered Design
    Language English
    Publishing date 2022-03-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0264484
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Teaching LGBT+ Health and Gender Education to Future Doctors

    Hsing-Chen Yang

    International Journal of Environmental Research and Public Health, Vol 18, Iss 8429, p

    Implementation of Case-Based Teaching

    2021  Volume 8429

    Abstract: Improving the education of medical students and physicians can address the disparities in LGBT+ (lesbian, gay, bisexual, transgender, and others) health care. This study explored how teachers used case-based teaching to teach medical students about ... ...

    Abstract Improving the education of medical students and physicians can address the disparities in LGBT+ (lesbian, gay, bisexual, transgender, and others) health care. This study explored how teachers used case-based teaching to teach medical students about gender and LGBT+ health care and discussed the implementation and effectiveness of case-based teaching from the perspective of the teachers and students. This study employed the case study method and collected data through semi-structured interviews. This study used two gender courses in clinical psychiatric education as case studies. Two teachers and 19 medical students were recruited as participants. The findings of this study were as follows: (1) effective cases links theory to clinical practice and competency learning; (2) experience sharing by LGBT+ is highly effective; (3) discussions promote the effectiveness of case-based teaching; and (4) the challenges of case-based teaching included time limitations, the multiplexity of the cases, and multilevel learning. This study also found that using narrative cases is a form of narrative pedagogy, which can help students to integrate medicine, gender, and LGBT+ competency education. A successful narrative case–based teaching strategy involves teachers integrating knowledge related to gender, guiding students through the cases to understand the importance of these cases, and reflecting on the medical profession to make improvements. However, teachers face challenges in this approach, such as changes in the school’s teaching culture and a lack of institutional support.
    Keywords case-based teaching ; clinical psychiatric education ; competency learning ; gender education ; LGBT+ healthcare ; Medicine ; R
    Subject code 370
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Integrative soft computing approaches for optimizing thermal energy performance in residential buildings.

    Peng, Yao / Chen, Yang

    PloS one

    2023  Volume 18, Issue 9, Page(s) e0290719

    Abstract: As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design. Although different machine learning models have been promisingly employed for this problem, ... ...

    Abstract As is known, early prediction of thermal load in buildings can give valuable insight to engineers and energy experts in order to optimize the building design. Although different machine learning models have been promisingly employed for this problem, newer sophisticated techniques still require proper attention. This study aims at introducing novel hybrid algorithms for estimating building thermal load. The predictive models are artificial neural networks exposed to five optimizer algorithms, namely Archimedes optimization algorithm (AOA), Beluga whale optimization (BWO), forensic-based investigation (FBI), snake optimizer (SO), and transient search algorithm (TSO), for attaining optimal trainings. These five integrations aim at predicting the annual thermal energy demand. The accuracy of the models is broadly assessed using mean absolute percentage error (MAPE), root mean square error (RMSE), and coefficient of determination (R2) indicators and a ranking system is accordingly developed. As the MAPE and R2 reported, all obtained relative errors were below 5% and correlations were above 92% which confirm the general acceptability of the results and all used models. While the models exhibited different performances in training and testing stages, referring to the overall results, the BWO emerged as the most accurate algorithm, followed by the AOA and SO simultaneously in the second position, the FBI as the third, and TSO as the fourth accurate model. Mean absolute error (MAPE) and Considering the wide variety of artificial intelligence techniques that are used nowadays, the findings of this research may shed light on the selection of proper techniques for reliable energy performance analysis in complex buildings.
    MeSH term(s) Animals ; Artificial Intelligence ; Algorithms ; Beluga Whale ; Engineering ; Hot Temperature
    Language English
    Publishing date 2023-09-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0290719
    Database MEDical Literature Analysis and Retrieval System OnLINE

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