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  1. Article ; Online: Enhancement of Online Education to the Teaching Paradigm

    Bin Su

    Frontiers in Medicine, Vol

    Taking Academic Medical Postgraduate Cultivation as an Example

    2022  Volume 9

    Abstract: BackgroundThe COVID-19 pandemic posed enormous challenges to postgraduate teaching in 2020. Large-scale and continuous online teaching explorations were introduced to cope with this difficult situation, which incidentally shifted the paradigm of ... ...

    Abstract BackgroundThe COVID-19 pandemic posed enormous challenges to postgraduate teaching in 2020. Large-scale and continuous online teaching explorations were introduced to cope with this difficult situation, which incidentally shifted the paradigm of postgraduate teaching.PurposeA review of the online teaching of local medical schools for postgraduates was performed to identify the success factors in realizing the practice.MethodsWe retrieved medical postgraduate online teaching publications mainly from the local database, the China National Knowledge Infrastructure (CNKI), via the keywords stated below and then performed a retrospective analysis.ResultsWe analyzed key success factors in improving online learning engagement that were considered exclusive to offline classroom teaching, including emotional interaction, the immediacy of communication, and enthusiasm for participation. With these positive effects, the integration of online and offline teaching advantages is beneficial for the initiative of academic medical postgraduates and promotes the construction and development of medical postgraduate education.ConclusionOnline education can overcome the limitations of time, space, and teaching frequency, with great advantages in terms of flexibility and mobility over traditional classroom teaching. It can effectively cope with difficulties in the education of academic medical postgraduates in challenging times. In the post-pandemic era, blended online and offline teaching approaches continue and will become the new normal pedagogy for the training of medical postgraduate students.
    Keywords medical education ; postgraduate training ; academic medical postgraduates ; multi-dimensional teaching mode ; online education ; Medicine (General) ; R5-920
    Subject code 370
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The influence of the COVID-19 pandemic on the short- and long-term interactions in the agricultural market

    Jung-Bin Su

    PLoS ONE, Vol 18, Iss

    Evidence from a connectedness network approach

    2023  Volume 12

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The influence of the COVID-19 pandemic on the short- and long-term interactions in the agricultural market

    Jung-Bin Su

    PLoS ONE, Vol 18, Iss 12, p e

    Evidence from a connectedness network approach.

    2023  Volume 0295294

    Abstract: This study employs a bivariate GARCH model to examine the influence of the COVID-19 pandemic on the interactions of the commodities in the agricultural market via a connectedness network approach. Empirical results show that this pandemic alters the ... ...

    Abstract This study employs a bivariate GARCH model to examine the influence of the COVID-19 pandemic on the interactions of the commodities in the agricultural market via a connectedness network approach. Empirical results show that this pandemic alters the commodities' roles-the activators, net transmitters, and net receivers-in the volatility and return connectedness but not for the activators in the correlation connectedness. Moreover, this pandemic enhances the interactive degree of the unidirectional negative return spillovers and the bidirectional distinct-sign volatility spillovers but doesn't for the interactive degree of correlation. Thus, the COVID-19 pandemic, a short-term drastic event, can influence short-term interactions like volatility and return spillovers but can't affect one long-term interaction like the correlation. Nevertheless, this pandemic raises the intensity of the correlation as well as volatility and return spillovers. The findings provide policymakers to make short- and long-term investment strategies in the agriculture market.
    Keywords Medicine ; R ; Science ; Q
    Subject code 330
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: How to Promote the Performance of Parametric Volatility Forecasts in the Stock Market? A Neural Networks Approach

    Jung-Bin Su

    Entropy, Vol 23, Iss 1151, p

    2021  Volume 1151

    Abstract: This study uses the fourteen stock indices as the sample and then utilizes eight parametric volatility forecasting models and eight composed volatility forecasting models to explore whether the neural network approach and the settings of leverage effect ... ...

    Abstract This study uses the fourteen stock indices as the sample and then utilizes eight parametric volatility forecasting models and eight composed volatility forecasting models to explore whether the neural network approach and the settings of leverage effect and non-normal return distribution can promote the performance of volatility forecasting, and which one of the sixteen models possesses the best volatility forecasting performance. The eight parametric volatility forecasts models are composed of the generalized autoregressive conditional heteroskedasticity (GARCH) or GJR-GARCH volatility specification combining with the normal, Student’s t, skewed Student’s t, and generalized skewed Student’s t distributions. Empirical results show that, the performance for the composed volatility forecasting approach is significantly superior to that for the parametric volatility forecasting approach. Furthermore, the GJR-GARCH volatility specification has better performance than the GARCH one. In addition, the non-normal distribution does not have better forecasting performance than the normal distribution. In addition, the GJR-GARCH model combined with both the normal distribution and a neural network approach has the best performance of volatility forecasting among sixteen models. Thus, a neural network approach significantly promotes the performance of volatility forecasting. On the other hand, the setting of leverage effect can encourage the performance of volatility forecasting whereas the setting of non-normal distribution cannot.
    Keywords volatility forecasting ; neural networks ; GARCH ; skewed generalized Student’s t ; stock market ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 330 ; 310
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: The Implementation of Asset Allocation Approaches

    Jung-Bin Su

    Sustainability, Vol 12, Iss 7162, p

    Theory and Evidence

    2020  Volume 7162

    Abstract: This study develops three capital allocation approaches and a directional weight increment algorithm to identify the efficient frontier of all possible multi-asset portfolios precisely and rapidly. Subsequently, this study proposes an asset selection ... ...

    Abstract This study develops three capital allocation approaches and a directional weight increment algorithm to identify the efficient frontier of all possible multi-asset portfolios precisely and rapidly. Subsequently, this study proposes an asset selection criterion, based on the coefficient of variance and volatility risk measures, to perform the asset allocation for two types of investors who are willing or not willing to bear the risk. Finally, this study uses a multivariate generalized autoregressive conditional heteroskedasticity (GARCH) model to estimate the conditional variance and covariance of several multi-asset portfolios constituted of seven assets dispersed in the oil, stock, and currency markets of the US. The empirical results show that, via applying the proposed asset selection criterion, the most suitable multi-asset portfolios are the SP500-Nasdaq and the GasNyh-DJ, which belong to the relatively most efficient portfolios. Moreover, two capital allocation approaches using the entire sample weight forecasts have the best forecast performance. Additionally, for all multi-asset portfolios the weight combination set of portfolios on the efficient frontier that resulted from the proposed algorithm is consistent with that obtained from the traditional approach.
    Keywords asset allocation ; relatively most efficient portfolio ; asset selection criterion ; directional weight increment algorithm ; capital allocation approach ; generalized autoregressive conditional heteroskedasticity ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 330
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Electrochemiluminescence Imaging of Cellular Contact Guidance on Microfabricated Substrates

    Lurong Ding / Ping Zhou / Yajuan Yan / Bin Su

    Chemical & Biomedical Imaging, Vol 1, Iss 6, Pp 558-

    2023  Volume 565

    Keywords Medical technology ; R855-855.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Investigating ASEAN’s Participation in Global Value Chains

    SHENG ZHONG / BIN SU

    Asian Development Review, Vol 38, Iss 02, Pp 159-

    Production Fragmentation and Regional Integration

    2021  Volume 188

    Abstract: This paper focuses on the Association of Southeast Asian Nations (ASEAN)—a major final assembler in production—where studies and evidence on the role of the region in global value chains are limited. We seek to provide new evidence regarding the extent ... ...

    Abstract This paper focuses on the Association of Southeast Asian Nations (ASEAN)—a major final assembler in production—where studies and evidence on the role of the region in global value chains are limited. We seek to provide new evidence regarding the extent and patterns of international fragmentation in ASEAN. To do so, we derive the foreign value-added shares of final products for all global value chains of ASEAN. Using the Asian Development Bank’s multiregional input–output tables for 2000–2017, we document a series of stylized facts. The results show declining foreign value-added shares in ASEAN. Regional economic integration within ASEAN has increased, while value-added contributions vary widely across its members. We find evidence of increasing value-added contributions from emerging economies to ASEAN, whereas the contributions from advanced economies have declined.
    Keywords ASEAN ; global value chains ; production fragmentation ; regional integration ; Social sciences and state - Asia (Asian studies only) ; H53
    Subject code 320
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher World Scientific Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: China’s ambitious low-carbon goals require fostering city-level renewable energy transitions

    Guanglei Yang / Guoxing Zhang / Dongqin Cao / Donglan Zha / Bin Su

    iScience, Vol 26, Iss 3, Pp 106263- (2023)

    2023  

    Abstract: Summary: Cities in China, as elsewhere, are increasingly playing a crucial role in mitigating climate change. We developed a panel dataset on renewable energy transition in Chinese cities, and assessed the CO2 emissions reduction of city-level renewable ... ...

    Abstract Summary: Cities in China, as elsewhere, are increasingly playing a crucial role in mitigating climate change. We developed a panel dataset on renewable energy transition in Chinese cities, and assessed the CO2 emissions reduction of city-level renewable energy transition. We found that city-level renewable energy transition only reduced 446 million tonnes of CO2 emissions from 2005 to 2019. Moreover, the 2030 carbon peak target will be missed in the business-as-usual scenario. The CO2 emissions reduction of city-level renewable energy transition will significantly increase in the policy constraint scenario and in the technology breakthrough scenario, and the 2030 carbon peak target will likely be reached in both these scenarios, with a range of possible CO2 emissions in 2030 equal to 8.34–10.43 and 8.00–10.07 billion tonnes, respectively. In this study, we were the first to assess the historical contribution and prospective trajectory of CO2 emissions reduction of China’s city-level renewable energy transition.
    Keywords Energy resources ; Energy policy ; Energy systems ; Energy management ; Energy modeling ; Science ; Q
    Subject code 690
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: How does the crisis of the COVID-19 pandemic affect the interactions between the stock, oil, gold, currency, and cryptocurrency markets?

    Jung-Bin Su / Yu-Sheng Kao

    Frontiers in Public Health, Vol

    2022  Volume 10

    Abstract: This study examines how the COVID-19 pandemic crisis affects the interactions between the stock, oil, gold, currency, and cryptocurrency markets. The impacts of the COVID-19 pandemic crisis on the optimal asset allocation and optimal hedged strategy are ... ...

    Abstract This study examines how the COVID-19 pandemic crisis affects the interactions between the stock, oil, gold, currency, and cryptocurrency markets. The impacts of the COVID-19 pandemic crisis on the optimal asset allocation and optimal hedged strategy are also discussed. Empirical results show that the volatility spillover significantly exists in most of the ten paired markets whereas the return spillover and correlation are significant only for the few paired markets. Moreover, the impact of the COVID-19 pandemic on the return spillover is the greatest followed by the correlation whereas the volatility spillover is not affected by the COVID-19 pandemic. Furthermore, the Quantitative easing (QE) implemented after the COVID-19 pandemic crisis increases the risk-adjusted return for each asset and minimum variance portfolio (MVP) and raises the correlation between two assets. In addition, most of the pairs of assets are not suitable to hedge each other except for a few pairs of assets. Regarding these few pairs of assets, the optimal hedge asset with the fewer hedge cost is accompanied by less risk reduction and vice versa. Finally, the investors should choose the euro to construct a portfolio to achieve risk diversification and to hedge gold or WTI to get the risk reduction. The above findings can help investors and fund managers make a useful investment strategy, optimal asset allocation, and effective hedged strategy. For example, the investors can use the volatility of one market to predict the volatility of another market and they can take a long position during the post-COVID-19 period but they should withdraw capital from the market when the QE tapering is executed.JEL classificationC52; C53; G15.
    Keywords bivariate GARCH model ; COVID-19 pandemic ; volatility spillover ; asset allocation ; hedged strategy ; hedge cost ; Public aspects of medicine ; RA1-1270
    Subject code 330
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Spatial Regulation Control of Oxygen Metabolic Consumption in Mouse Brain

    Lin Zhou / Xinru Li / Bin Su

    Advanced Science, Vol 9, Iss 34, Pp n/a-n/a (2022)

    2022  

    Abstract: Abstract The mammalian brain relies on significant oxygen metabolic consumption to fulfill energy supply, brain function, and neural activity. In this study, in vivo electrochemistry is combined with physiological and ethological analyses to explore ... ...

    Abstract Abstract The mammalian brain relies on significant oxygen metabolic consumption to fulfill energy supply, brain function, and neural activity. In this study, in vivo electrochemistry is combined with physiological and ethological analyses to explore oxygen metabolic consumption in an area of the mouse brain that includes parts of the primary somatosensory cortex, primary motor cortex, hippocampus, and striatum. The oxygen levels at different locations of this boundary section are spatially resolved by measuring the electrical current in vivo using ingeniously designed anti‐biofouling carbon fiber microelectrodes. The characteristics of the current signals are further interpreted by simultaneously recording the physiological responses of the mice. Additionally, ethological tests are performed to validate the correlation between oxygen levels and mouse behavior. It is found that high‐dose caffeine injection can evoke spatial variability in oxygen metabolic consumption between the four neighboring brain regions. It is proposed that the oxygen metabolic consumption in different brain regions is not independent of each other but is subject to spatial regulation control following the rules of “rank of brain region” and “relative distance.” Furthermore, as revealed by in vivo wireless electrochemistry and ethological analysis, mice are at risk of neuronal damage from long‐term intake of high‐dose caffeine.
    Keywords caffeine ; in vivo electrochemistry ; neighboring brain regions ; oxygen metabolic consumption ; spatial regulation control ; Science ; Q
    Subject code 570
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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