Dr. Yan Liu, Professor

Institute of Geology, Chinese Academy of Geological Sciences, Beijing, China

Topic: Towards Global Carbon Neutrality: Inspiration from Comprehensive Surveys on Tibetan Plateau and Adjacent Regions

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2021 6th International Conference on Energy, Environment and Earth Sciences

Nov. 26-28, 2021

In-depth understanding mechanism of global climate change is critical to achieving global carbon neutrality in the near future. The continuous convergence between Indian and Asian continents has created a growing Tibetan plateau. Rough 7 trillion tones atmospheric CO₂ were transformed as organic carbon, carbonates and carbonic magmas/fluids trapped in the Tibetan thickened crust and adjacent foreland basins, leading to glacial-interglacial climate. During the interglacial periods, the Tibetan plateau is a huge heat source, together with higher sea surface temperature, resulting in much freshwater being removed to low latitudes including the Tibet plateau. Tibet plateau thus becomes a greenly giant water tower and sequesters huge amounts of CO₂ through tectonics and plants to decline global atmospheric CO₂ concentrations greatly. During the glacial times, the Tibetan plateau is a hugely cold source that much freshwater is sent to high latitudes, e.g., transformed as ice sheets in Greenland island. The low latitudes thus become deserts. The deserted plateau releases, rather than absorb, large amounts of CO₂, resulting in global atmospheric CO₂ concentrations never below 180 ppmv and rising subsequently. Tibetan plateau has thus remained a quasi-dynamic balance of globally atmospheric CO₂ concentrations since the Miocene times. Today much freshwater is returning to inland deserted regions, especially the deserted Tibetan plateau, due to global warming triggered off by anthropic emissions. Large amounts of atmospheric CO₂ and much water are sent to Tibetan deeply broken silicates by the tectonics and plant roots, enhancing subsurface silicate chemical weathering continuously. Pedogenic carbonates and organic carbon are also continuously formed in the wetlands. These processes are always carbon unsaturation so that at least 10 billion tons/year atmospheric CO₂ are passively sequestered by the Tibetan plateau and adjacent regions in the near future based on our conservative estimates. Therefore, man-made planting wetland within Tibetan and adjacent regions is a better approach to achieve global carbon neutrality in the near future.

Prof. Dr. Yan Liu holds a Ph.D. in Tectonics from the Institute of Geology, Chinese Academy of Sciences. He is a Professor at the Institute of Geology, Chinese Academy of Geological Sciences. He has engaged in comprehensive surveys on the Tibetan plateau and adjacent regions for a long time, focusing on mass exchange between Earth’s exterior and interior and implications to global climate changes, and thus acquired several German DAAD Awards and China Tibetan Plateau Research Society Award.

Dr. Qin Wenting, Associate Professor

China University of Petroleum (Beijing), Petroleum Department at Karamay Campus, Karamay, China

Topic: Water Leak Control for the Oil-producing Wells Using Downhole Water Sink Technology

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2021 6th International Conference on Energy, Environment and Earth Sciences

Nov. 26-28, 2021

Casing or tubing leaks cause unwanted water production from oil-producing wells. Many chemical and mechanic water control technologies can be used to solve this problem, including squeezing chemical shutoff fluids into the targeted zone or using plugs, cement, packers, patches to block the leakage. Although those methods are field-proven to be effective, the mechanical solutions may require well logs to detect the water entry point in the well. Chemical methods may present environment risks. In this study, an alternative method, Downhole Water Sink, is proposed to solve the problem of unwanted water production from a casing or tubing leak. The effectiveness of this method to control water production in a well with casing or tubing leaks is tested using the Hele-Shaw experimental model. The results show that this method can control unwanted water production via dynamic control of the pressure drawdown in the reservoir. From a technical standpoint, the advantage of this technology is that it eliminates the need to run logs to locate the water entry point and does not require chemical injection into the formation. From an environmental standpoint, this technology has the circular economy elements. Because the produced water in this technology contains little or no oil, it can be reused for reinjection into the reservoir for water flooding or pressure maintenance purposes. Therefore, a production-reinjection process to recycle the produced water is established to reduce the pollution caused by discharging the wastewater into the environment.

Dr. Qin Wenting holds a Ph.D. in Petroleum Engineering from Louisiana State University, USA. She is an associate professor in the Petroleum Department at China University of Petroleum (Beijing). Her research interests include water control in oil production, wastewater management in oil-producing wells, and clean production methods for oil recovery. As first author, she has published a book and many technical journal and conference papers, including articles in Top International Journal of Environmental Science and Petroleum Engineering: Journal of Environmental Management, SPE Journal, and in the proceedings of the Top Petroleum Engineering Conference SPE ATCE. She has served as a session chair for the 35th and 36th ASME International Conference on Ocean, Offshore and Arctic Engineering (OMAE2016 and OMAE 2017). She has been the principal researcher of several research projects funded by National Natural Science Foundation of China and Xinjiang Natural Science Foundation.

Dr. Gao Nannan, Postdoctoral Researcher

Research Institute of Urban Green Development, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China

Topic: Spatial Quantitative Analysis of Urban Energy Consumption Based on Night-Time Remote Sensing Data and POI

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2021 6th International Conference on Energy, Environment and Earth Sciences

Nov. 26-28, 2021

Climate change has become a major global environmental issue that is widely concerned by countries around the world. It has been a very clear scientific consensus that the global carbon emission has to be cut urgently under the context of the global warming and extreme climate. Currently, few studies on the urban energy consumption have been performed, especially the quantitative research on the scale of urban blocks, which is actually required by cities in order to adopt precise control, optimize energy structure, and reduce carbon emissions. This paper took Jingmen, a resource-based city, as a case city, and applied night-time remote sensing data, POI, and other big data. Quantitative analysis of the spatial data on key factors affecting carbon emissions in transportation, industry, and construction sectors, respectively, was applied to realize block- scale spatial visualization of urban energy consumption, and furthermore, to discuss the impact of urbanization and industrialization on urban energy consumption. It is found that the continuous growth of energy consumption in the industrial sector was the main driving factor of the city's total energy consumption growth. Among the 72 towns (blocks), 10 towns (blocks) were dominated by industrial energy consumption which accounted for up to 68% the energy consumption of Jingmen. From 2005 to 2015, the total energy consumption of Jingmen City increased by 828,200 tons of standard coal equivalent(tce), while the number of towns (blocks) with more than 10,000 tons of standard coal equivalent(tce) decreased by 4. Therefore, the energy consumption of Jingmen City showed a trend of increase and concentration. The conclusions of this study can fill up the problems that cannot be found in the energy consumption statistics of cities, and propose a more accurate way to reduce energy consumption in Jingmen City, which provide a reference for the green transformation of similar small and medium-sized resource-based cities.

Dr. Gao Nannan has completed her PhD from the Chinese academy of Sciences and postdoctoral studies from Peking University. She is senior technical manager (Postdoctoral Researcher) of Research Institute of Urban Green Development, Shenzhen Institute of Building Research Co., Ltd. She has published more than 20 papers in reputed journals. She has extensive experience studying on smart city policy research, city planning on low-carbon ecological cities, urban livability, urban biodiversity and city ecological restoration of national land space. She was a core researcher of “The Key Technology And Demonstration Of Comprehensive Study Of Urban Energy Systems And Carbon Emissions” as one National Key R&D Program of Intergovernmental International Cooperation in Science & Technology Innovation and “Research on the Synergy Mechanism of Urban Energy Structure-Carbon Emissions-Air Pollution” as one Key Special Projects for the 2020 International Cooperation Projects of Shenzhen Science and Technology Innovation Committee, China.

Dr. Qingwen Zhang, Professor

Institute of Agricultural Environment and Sustainable Development, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China

Topic: Research on the Upper Atmospheric Gravity Wave Parameters at the Altitude of 90-100 km Detected by GBAII

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2021 6th International Conference on Energy, Environment and Earth Sciences

Nov. 26-28, 2021

Nitrogen(N) and phosphorus(P) pollution is common problem worldwide. Global N and P cycle is reshaped by human activities, especially through agricultural production. The first pollution survey in China estimated that 57% of nitrogen (N) and 67% of phosphate (P) in water bodies were from agricultural production losses. The UN Food and Agriculture Organization has listed intensive livestock and poultry farming as one of the three major sources of environmental pollution in the world. It was estimated that 551 million tons of manure (dry weight base) were generated in 2014, which contained 25.3 million tons of N, 5.2 million tons of P, and 19.4 million tons of potassium, respectively. And trend will increase even further with the expansion of the livestock and poultry breeding industry. In this speech, Professor Zhang Qingwen will introduce some researches of her team considering identification of key points in N flows in China's agricultural system using NUFER model, and the potential of crop-livestock system coupling based on land bearing capacity of cropland. Besides, the results of field experiment on gaseous nitrogen loss control and optimized nitrogen management under ICLS showed that combined application of biogas slurry and synthetic fertilizer could potentially reduce N₂O emission and increased crop yield. N management by livestock manure application in the integrated crop-livestock system(ICLS) can provide a scientific reference for achieving green and high-quality development of agriculture.

Dr. Qingwen Zhang is Professor, Director of the Department of Agro-Ecosystem Health and a research leader of the Innovative Research Team of the agricultural clean watershed Construction, Institute of Environment and Sustainable Development in Agriculture, CAAS. She received her Ph.D degree from the Chinese academy of Sciences in 2004. She got a title of professor since 2014. Her research team focused on the Model, principle, technology of. They has extensive experience studying on agricultural nonpoint sources pollution analysis using the FRNs and REEs, and stable nitrogen tracing method and treatment methods for pollution control. She was awarded two of First prize of Shaanxi provincial science and Technology Award (ranked second and sixth). She published about 50 research papers and 3 monographs. Five patents were authorized.

Dr. Yuanhe Tang, Professor

Department of Physics, School of Science, Xi’an University of Technology, Xi’an, China

Topic: Research on the Upper Atmospheric Gravity Wave Parameters at the Altitude of 90-100 km Detected by GBAII

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2021 6th International Conference on Energy, Environment and Earth Sciences

Nov. 26-28, 2021

In the upper atmospheric radioactive transfer, the AGWs (atmospheric gravity waves) come from the Earth’s surface physical phenomenon upward propagating. AGWs are reflected by the variation of the upper atmospheric concentration and wind velocity. AGWs play an important role in the dynamics of the upper and middle atmosphere. In this topic, the three number densities of O2 nightglow species at the peak altitude of 94 km at Xi'an had obtained through the self-made GBAII (Ground-based airglow imaging interferometer) prototype which could obtain the O2(0-1) nightglow’s imaging interference fringes at the three local times in June.13 2012, Oct.18, 2018, and April.7 2019. And three corresponding AGWs parameters of the periods, 2 dimension wavelengths, energy flux, and momentum flux were obtained by GBAII, respectively: AGWs’ period ranges from 0.32 h to 7.05h; the meridional wavelengths range from 30.53 km to 494.90km and the zonal one ranges from 28.22 km to 610.89km; the energy flux of AGWs ranges from 0.0605m3s-3 to 60.6554m3s-3 and the momentum flux ranges from 0.0017m2s-2 to 1.5788m2s-2. The research results can provide some scarce data for O2 concentration in the upper atmosphere and related wave parameters of AGWs.

Professor Yuanhe Tang is working at the Applied Physics Department of Xi’an University of Technology to now after she got bachelor and master degrees in physics from Shaanxi Normal University of China at 1988 and 1991. During this time she got a Ph.D. degree from Xi’an Jiaotong University in 2006. From March to May 2011, she visited York University in Canada. From April 2014 to March 2015, she visited the University of Wollongong in Australia. Her research fields are focusing on 4 parts: Specialized in the upper atmospheric wind field measurement by imaging interference technology; the strong light partial gating imaging; the low-level light enhancement imaging; the sunlight’s direct lighting etc. About 60 papers have been published in the journals, 22 patents have been authorized, 2 monographs had been published, and 17 projects have been chaired by her. 6 prototypes have been made by her group; Two academic awards are obtained by her group. She teaches the course Quantum Mechanics to undergraduate students and the course of Advanced Optics to postgraduate students. She has contributed 12 orals to the international congresses and served as chapter president many times. She is the reviewers of Applied Optics, Optics Communication, Chinese Optics Letter, Acta Physica Sinica, etc.

Dr. Ge Zhan, Associate Director

AI Data Analytics Lab, Division of Business & Management, Beijing Normal University-Hong Kong Baptist University United International College (UIC), Zhuhai, China

Topic: The Role of Time in Online Brand Community Management and Risk Forecasting

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2021 6th International Conference on Economics, Management and Social Sciences

Nov. 26-28, 2021

Successful online brand communities have been characterized by the capacity, culture and climate in keeping members for longer time period. Community-member relationship is considerably shaped by the time length of membership. By drawing from his recent publications in e-commerce and online marketing, Dr. Zhan will share his experience and findings on the effect of time on online community management. He will also present a new application of time-based model in risk forecasting, e.g. earthquake prediction.

Dr. Ge Zhan received Ph.D from the Hong Kong Polytechnic University, and then had postdoctoral position in Shenzhen University with the first-class funding of Chinese Postdoc Science Fund. He is currently the Associate Director of AI Data Analytics Lab in Beijing Normal University-Hong Kong Baptist University United International College (UIC), at Zhuhai, China. He has many years of teaching experience in business research methods, marketing and entrepreneurship management. In recent years, his research areas include the application of AI in management, online marketing and other interdisciplinary subjects. Some of the research findings have been published in Journal of Business Research, Internet Research, Journal of Destination Marketing & Management, International Business Review, European Journal of Marketing etc. He was the winner (1st place) of 2020 AETA AI Algorithm Competition for Earthquake Prediction, co-organized by Peking University (Shenzhen Graduate School/Institute for Artificial Intelligence), CSDN and Wuhan University (School of Computer Science). He was recently awarded “Best Supervisor" in the 2021 National College Student "Innovation, Creativity and Entrepreneurship", Guangdong Provincial Competition.

Dr. Liu Bailing, Associate Professor

School of Information Management, Central China Normal University, Wuhan, China

Topic: Achieving a Balance Between Privacy Protection and Data Collection: A Field Experimental Examination of a Theory-Driven Information Technology Solution

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2021 6th International Conference on Economics, Management and Social Sciences

Nov. 26-28, 2021

Companies face a tradeoff between creating stronger privacy protection policies for consumers and employing more sophisticated data collection methods. We proposed an information technology (IT) solution to solve this problem, and benchmarked our solution through field experiments relative to two conventional applications. The results showed that our solution decreased privacy concerns and increased consumers’ information disclosure intentions and actual disclosure behavior. A post-hoc analysis corroborated these findings, indicating that our design enhanced perceived procedural justice, interactional justice, and distributive justice among consumers and made them feel comfortable to disclose their personal information. Likewise, companies would be able to collect additional personal information from consumers, thereby contributing to a privacy-friendly environment.

Dr. Liu Bailing is an Associate Professor in the School of Information Management, Central China Normal University. She received her PhD degree in Computer Science from Huazhong University of Science and Technology. Her research interests include information systems, information privacy, privacy protection, and mobile commerce. She was the PI of three national research projects on information privacy and privacy protection (2010, 2015, 2020) in information systems funded by the National Natural/Social Science Foundation of China.

Dr. Novikova Kseniia, Postdoctoral Fellow

Law School, Dalian Maritime University, Dalian, China

Topic: Implementation of the ‘Ice Silk Road Initiative’ in the Reality of the Development of Maritime Laws: Russian and Chinese Compared

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2021 6th International Conference on Economics, Management and Social Sciences

Nov. 26-28, 2021

“Ice Silk Road” as a joint Sino-Russian project was designed to promote the unification of the strategic initiatives of the two countries and the development of comprehensive cooperation between Russia and China in the Arctic. Technically, “Ice Silk Road” means the shortest route from the Pacific Ocean to the Atlantic Ocean through the Northern Sea Route in the Arctic; it requires the development of the infrastructure of the Northern Sea Route and the organization of cargo transportation along it. Both sides – Russia and China – had demonstrated a strong interest in the “Ice Silk Road” implementation and the development of merchant vessels navigation in the frame of it. Implementation of any modern political initiative needs a ground of legal instruments and well-established mechanism of their use; in case of joint political and economic initiative’ implementation, such instruments shall be compatible or at least complimentary. This article analyses the development of the two laws of a paramount importance for Russia and China in the field of merchant shipping, namely the Maritime Code of China of 1992 and the Russian Merchant Shipping Code of 1999. The article expounds the status and significance of both maritime laws in the legal systems of the country of origin, analyzes the historical process of these laws’ formation and revision, outlines some important results of the Codes’ revision and points out most probable directions of their further development to become a legal support for mutual efforts of Russia and China to ensure the Northern Sea Route’s efficiency in the frame of the “Ice Silk Road” Initiative.

Dr. Novikova Kseniia is currently working at Dalian Maritime University’s School of Law as a postdoctoral fellow. She obtained the PhD degree in 2016 in Transportation Planning and Management from Dalian Maritime University where she have presented and successfully defended the research on “Efficiency and Flexibility Evaluation of the Container Transportation on the Eurasia Continental Bridge”. From 2016 to 2018, she worked at International Students Education Center of Dalian Maritime University and taught course of lectures “Multimodal Transportation” at International Students Education Center of the Dalian Maritime University (optional course, taught in English). She also worked as a translator for the China-Shanghai Cooperation Organization Training Base for International Judicial Exchanges and Cooperation. She worked as a vice dean of the International Educational Program Institute of the Maritime State University named after G.I. Nevelskoy (Russian Federation) during 2006-2008.

Dr. Ebenezer Larnyo, Postdoctoral Fellow

Department of Health Policy and Management, Jiangsu University, Zhenjiang, China

Topic: Analyzing the Impact of Social Media Use on Anxiety and Depression in Health Crises: A Comparative Study of Chinese and International Students in China During COVID-19

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2021 5th International Conference on Health, Medicine and Life Sciences

Nov. 26-28, 2021

The purpose of this study was to ascertain whether there exist differences in the impact of social media use on anxiety and depression among Chinese and International students in China during the peak of COVID-19. A structured online questionnaire was distributed among Chinese and International students across China, based on modified instruments from the generalized anxiety disorder 7 (GAD-7), the Patient Health Questionnaire 9 (PHQ-9), and social media use. Three hundred and ten (310) responses from Chinese students and 474 from International students were further analyzed using the Partial Least Squares based on structural equation Modelling (PLS-PM). This study found a significant negative relationship between social media use and anxiety (= -0.382, p<.001) and social media use and depression (= -0.134, p< .001) among Chinese students. Similarly, a significant negative relationship was observed between social media use and anxiety (= -0.381, p<.001) and social media use and depression (=-0.390, p< .001) among International students. This suggests that social media use did not cause increased anxiety and depression of Chinese and International students during COVID-19. No significant difference was also found between the impact of social media use on anxiety and depression among the two categories of students. This study provides valuable insights into understanding the impact of social media use on anxiety and depression among students during the peak of COVID-19. Based on the findings of this study, stakeholders must continue to roll out online initiatives, such as mental health programs, online counselling and circulation of relevant COVID-19 related information on universities' websites, microblogs and other social media websites. These programs could help mitigate the harmful effects of social media among students in COVID-19.

Dr. Ebenezer Larnyo currently works as a postdoctoral research fellow at the Department of Health Policy and Management, Jiangsu University. He holds a Ph.D. in Management Science and Engineering from Jiangsu University and a master's degree in Computer Science and Technology from Jiangsu University of Science and Technology. Dr. Larnyo is a recipient of the level-one Jiangsu Provincial Government Scholarship for Outstanding Achievements in Scientific Research, 2020. He does interdisciplinary research into IT adoption in healthcare, health informatics, digital & eHealth, epidemiology, and machine-learning at the intersection of healthcare, public sector administration, and computer science. He has authored and co-authored over 10 articles published in SCI/SSCI indexed journals.

Dr. Xiao Xiaoqiu, Professor

the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Topic: Metabolic Culprits in Obese Pregnancies: Big Moms, Big Babies, and Big Picture

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2021 5th International Conference on Health, Medicine and Life Sciences

Nov. 26-28, 2021

Obesity has become a major health issue in recent decades, and has been documented to exert unfavourable effects on humans and animals and potentially affect the health of their offspring. However, the long-term effects of maternal obesity during the perinatal period on metabolic systems of the offspring have not been determined. Our group has long been focus on to explore epigenetic mechanisms underlying the inter- or trans-generational influence of maternal obesity/diabetes and identify critical molecules which are associated with metabolic programming under conditions of intrauterine and or postnatal obesogenic conditions. Here, we investigate metabolic effect of early activated hypothalamic endoplasmic reticulum (ER) stress in offspring exposed to maternal obesogenic environment and the potential mechanism underlying the metabolic abnormalities. Our study demonstrated that the uncoordinated interaction between the unfolded protein response and the heat shock response might be responsible for the malformed hypothalamic feeding circuit of the offspring exposure to maternal obesogenic conditions and were linked with deleterious metabolism in adulthood, especially when exposure to high-energy conditions.

Dr. Xiao Xiaoqiu is the Professor and Leader of metabolism research discipline of Chongqing Medical University, and Director of the Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, the First Affiliated Hospital of Chongqing Medical University. He received PhD in pharmacology from Shanghai Institute of Materia Medica, Chinese Academy of Sciences, and was trained as a postdoctoral fellow in Oregon Health and Science University (OHSU). He once served as a full-time research scientist at OHSU, and then a research scientist and group leader in Laboratory of Metabolic Medicine, Singapore Bio-imaging Consortium, Agency for Science, Technology and Research, Singapore. He moved to Chongqing Medical University as an excellent returned talent in 2009. His research was supported by multiple scientific projects, including 973 programs, NSFC, and the Doctoral Program Fund of the MOE. He is a member of the American Diabetes Association, and have authored over 90 scientific publications in prestigious journals, including Diabetes, Mol Cell Endocrinol, Rev Endocr Metab Disord, Hepatology, Biochim Biophys Acta, FASEB J, J Endocrinol, and etc. In addition, he has completed training 10 PhD candidates, and they are the key personals in University, Hospital and Research Institute in China and USA. Prof. Xiao’s main research fields are: to explore epigenetic mechanisms underlying the transgenerational influence of maternal/paternal overnutrition or diabetes, and to identify novel leading compounds which are potentially beneficial for the treatment of metabolic diseases.

Dr. Xin Ge, Associate Professor

Department of ICU, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi, China

Topic: Stress-Induced Phosphoprotein 1 Restrains Spinal Cord Ischemia-Reperfusion Injury by Regulating Nf-Κb Signaling

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2021 5th International Conference on Health, Medicine and Life Sciences

Nov. 26-28, 2021

This study aims to investigate the effects of stress-induced phosphoprotein 1 (STIP1) on spinal cord ischemia-reperfusion injury (SCII). SCII was induced by clamping the abdominal aorta for 1 h and reperfusion for 24 h in rats. Immunoblotting and immunohistochemical staining results showed that STIP1 rapidly increased and then decreased in the spinal cord of rats with SCII treatment. Lentivirus containing STIP1 coding sequence was intrathecally injected into rats to overexpress STIP1. Neurological function score, HE staining, immunofluorescent staining, and western blot results revealed that STIP1 overexpression alleviated SCII-induced motor dysfunction of hind limbs, neuronal loss and inflammation in the spinal cord, and inhibited activity of nuclear factor kappa B (NF-κB) signaling in rats. Moreover, STIP1 co-located with Iba-1, a marker of activated microglia. Mouse microglia BV2 underwent oxygen and glucose deprivation (OGD) for 6 h, and reperfusion for 24 h. STIP1 ameliorated OGD-induced inflammation and activation of NF-κB signaling in BV2 cells. In addition, STIP1 resulted in the decrease of heat shock protein family A member 8 (HSPA8), an increase of inhibitor of NF-κB (IκB)β levels, and IκBβ bound to HSPA8 in BV2 cells. We hypothesized that STIP1 elevated IκBβ levels by occupying HSPA8, and then deactivated NF-κB signaling. In summary, STIP1 alleviated ischemia-reperfusion induced neuronal injury and inflammation in the spinal cord of rats and mouse microglial cells by deactivating NF-κB signaling. These findings may provide novel insights for clinical diagnosis and treatment for spinal cord injury.

Associate Professor Xin Ge is working in the Department of ICU, Wuxi 9th Affiliated Hospital of Soochow University. He received a B.S. degree from Dalian Medical University and joined in Central hospital of Jinzhou in 2005. He received an M.S. degree in surgery in Jinzhou Medical University in 2015. In 2016 he became vice-director of neurosurgery and director of NICU in Central hospital of Jinzhou. In the same year, he admitted to the PLA General Hospital for his Ph.D. in neurosurgery under professor Xinguang Yu. In 2018 he admitted to Haerbin Medical University for his Ph.D. in ICU under professor Mingyan Zhao. He was appointed director of ICU in 2020 in Wuxi 9th Affiliated Hospital of Soochow University. In the past 5 years, he has published 6 SCI papers with the highest IF of 8.32 and 4 Chinese core journal papers. He presided over a special project of Precision Medicine of Wuxi Municipal Health Commission, participated in the project of National Brain Prevention Commission and a research and development program of the Ministry of Science and Technology during the 13th Five-Year Plan period.

Dr. Lei Zhang, Professor

School of Life Science, Shaanxi Normal University, Xi’an, China

Topic: Key Molecular Alterations in Endothelial Cells in Human Glioblastoma Uncovered by Single-Cell RNA Sequencing

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2021 5th International Conference on Health, Medicine and Life Sciences

Nov. 26-28, 2021

Glioblastoma is the most aggressive type of brain tumor with poor therapeutic response and prognosis. Passage of systemically delivered pharmacological agents into the brain is largely blocked by the blood-brain-barrier (BBB), an organotypic specialization of brain endothelial cells (ECs). Tumor vessels in GBM are abnormal and generally more permeable, but the heterogeneity of BBB breakdown in different parts of the tumor vascular tree and in vessels surrounding the tumor is largely unknown. Here, through single-cell RNA sequencing (sc-RNAseq) of freshly isolated ECs from human glioblastoma and paired non-malignant tissues, we have constructed a molecular atlas of human brain ECs providing unprecedented molecular insight into the heterogeneity of the human BBB and its molecular alteration in glioblastoma. We identified 5 distinct EC phenotypes, resembling different phenotypes and associating with distinct anatomical location within the tumor. This unique resource will provide key information for designing rational therapeutic regimens and optimizing drug delivery.

Dr. Lei Zhang received his PhD on medical science from Uppsala University, Sweden. In 2017, he moved back to China and established his research group on brain tumor microenvironment in Shaanxi Normal University. In 2019, he was appointed as director of China-Sweden International Joint Research Center for Brain Diseases. Dr. Zhang is an expert in tumor microenvironment with special focus on glioblastoma vascular abnormality and blood-brain barrier alterations. In recent 5 years, he was principle investigator of two NSFC research projects, one Key R&D Program of Shaanxi Province. He has been elected as editor board member of “Traditional Medicine Research”, and as board member of Shaanxi Anti-Cancer Association and Shaanxi Society of Biochemistry and Molecular Biology. He has published several research articles as first author or last author in leading journals including Neuro-Oncology, JCI Insight, Science Signaling, Cellular Oncology et al.

Dr. Qing Du, Lecturer

College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Topic: Preparation of Multifunctional Calcium Alginate Microspheres by a One-step Electrospray Method for Chemoembolization

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2021 5th International Conference on Biology and Life Sciences

Nov. 26-28, 2021

Embolic agents with narrow size distribution and wide scale range are highly required in transarterial chemoembolization. In this study, a one-step electrospray technique has been developed for the preparation of nano-in-micron multifunctional embolic microspheres. Monodisperse calcium alginate (CaAlg) microspheres with a particle size range of 180 to 1000 μm were fabricated for the embolization. Nanoparticles, such as tantalum, BaSO₄ and Fe₃O₄, were incorporated into the microspheres to realize the medical image diagnoses. Doxorubicin hydrochloride was bonded to CaAlg microspheres to prepare drug-eluting beads for the chemotherapy. They were evaluated for the ability of chemotherapy by investigating the drug loading behavior, the encapsulation efficiency, the cytotoxicity, in vitro and in vivo release under different experimental conditions. The cell viability and hemocompatibility assays indicated the CaAlg microspheres possessed excellent biocompatibility. DSA and histological studies demonstrated the microspheres exhibited good embolization efficacy. In vivo assessment showed that the microspheres had long-term X-ray / NMR imaging capability. They could not only display their own location and distribution precisely in real time during the operation of transcatheter arterial embolization, but also carry out noninvasive examination after operations. These results suggest that the “3-in-1” microspheres combined with embolization, chemotherapy and image diagnoses can be envisioned in the treatment of advanced hepatocellular carcinoma.

Dr. Qing Du received her BS degree in 2005 from Wuhan University, MS degree in 2008 from Changchun Institute of Applied Chemistry, and PhD degree in 2013 from University of Rochester. In 2015, she worked as a postdoctoral fellow at Huazhong University of Science and Technology. She then joined Huazhong University of Science and Technology as an assistant research fellow in 2020. Her group studies nano-oncology and smart nanomedicines.

Dr. Nan Zhang, Associate Professor

Beijing University of Technology, Beijing, China

Topic: Real Human Behavior Based City-scale COVID-19 Transmission

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2021 5th International Conference on Architecture and Urban Planning

Nov. 26-28, 2021

By the end of October 2021, COVID-19 had spread to over 230 countries, with more than 240 million confirmed cases and 5.0 million deaths. To control infection spread with the least disruption to economic and societal activities, it is crucial to implement the various interventions effectively. In this study, we developed an agent-based SEIR model, using real demographic, geographic, and human-behavior data from Hong Kong, to analyze the efficiency of various intervention strategies in preventing infection by the SARS-CoV-2 virus. Close contact route including short-range airborne is considered as the main transmission routes for COVID-19 spread. Contact tracing is not that useful if all other interventions have been fully deployed. The number of infected individuals could be halved if people reduced their close contact rate by 25%. For reducing transmission, students should be prioritized for vaccination rather than retired older people and preschool aged children. Home isolation, and taking the nucleic acid test (NAT) as soon as possible after symptom onset, are much more effective interventions than wearing masks in public places. Temperature screening in public places only disrupted the infection spread by a small amount when other interventions have been fully implemented. Our results may be useful for other highly populated cities, when choosing their intervention strategies to prevent outbreaks of COVID-19 and similar diseases.

Dr. Nan Zhang is an Associate Professor in Beijing University of Technology. He works on city-scale infectious disease transmission, human behavior detection based on machine learning, human health in indoor environments, and energy conservation under COVID-19 pandemic. As the first author, he has published 30 SCI journal papers on Environment International (IF=9.6), Clinical Infectious Diseases (IF=9.1), etc, with 800 citations. He received the Best Paper Award of Building and Environment (IF=6.7) in 2020; the Distinguished Paper of Risk Analysis in 2017; the Best Paper Award of the 3rd International Conference on Multimedia Technology (ICMT 2013).

Dr. Wang Yunwu, Associate Professor

School of Wisdom Education, Educational Informatization Engineering Technology Research Center of Jiangsu Province, Jiangsu Normal University, Xuzhou, China

Topic: Transformation and Upgrading of Digital Education Industry from the Perspective of Digital Economy

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2021 5th International Conference on Education and Information Technologies

Nov. 26-28, 2021

Human society is moving towards the era of digital intelligence, and the global digital transformation has been accelerated. As a new form of economic development, digital economy plays an increasingly important role in the national economy. In this context, the paper first analyzes the vigorous development of global digital economy, and expounds that the major countries in the world have implemented the development strategies of digital economy and digital education; Secondly, it puts forward the view that the digital economy in the age of digital intelligence is reshaping the industrial pattern, and the digital industry is increasingly listed as the fourth industry, and analyzes the connotation and industrial structure of the digital education industry; Then it describes the current situation that the policy environment of digital education industry is becoming more and more perfect and the scale of the industry is expanding day by day; Finally, the paper puts forward countermeasures and suggestions for the transformation and upgrading of digital education industry.

Dr. Wang Yunwu is an Associate Professor of School of Wisdom Education at Jiangsu Normal University, a tutor of master of educational technology, and deputy director of Jiangsu Education Informatization Engineering Technology Research Center. He is also a visiting scholar of Nanyang Technological University in Singapore. His research interests mainly focus on education informatization, wisdom campus, wisdom education, educational technology theory, strategic planning, thinking training and innovative creativity training, educational robot, steam education, and maker education, learning science and technology, etc. He has published 7 books on smart campus, educational informatization, and educational robot, and participated in the writing of 5 books. He has published more than 120 papers independently or cooperatively in journals and newspapers. He has participated in the development of more than 20 strategic plans, standards, and research reports related to educational informatization.

Dr. Hai Chi, Associate Professor

East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China

Topic: Effects of Nisin Treatment on the Shelf Life of Ready-to-Eat Roasted Shrimp (Penaeus vannamei)

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2021 5th International Conference on Chemistry and Biochemical Engineering

May 29-31, 2021

The microbiological, biochemical, and physicochemical changes of ready-to-eat shrimps (Penaeus vannamei) with high water content, subjected to nisin treatment in combination of hurdle technology, were investigated. The ready-to-eat shrimps were processed by boiling, drying, treatment with nisin solution, seasoning, and roasting, followed by vacuum packaging, sterilization, and storage at room temperature (25 °C). The results showed that the samples treated with nisin in combination with other hurdles resulted in a significant decrease in bacterial counts (Bacillus cereus and native microflora) compared to the control samples. Additionally, the nisin-treated samples possessed better biochemical and physicochemical properties, as well as better sensory patterns. According to the safety guidelines for roasted shrimp (SC/T 3305-2003), the shelf life of ready-to-eat shrimp with 48–53 % moisture content was extended by nisin application at concentrations of 60 and 100 mg/kg of nisin; specifically, ready-to-eat shrimp maintained good quality from 4–6 days up to 6–12 and 8–14 days corresponding to 60 and 100 mg/kg of nisin treatments, respectively. Nisin treatment combined with hurdle technology in the production of ready-to-eat shrimp provides a highly valued product in China.

Dr. Chi Hai is an associate professor in Lab. of seafood safety control and processing at East China Sea Fisheries Research Institute, Chinese Academy Fishery Sciences, Shanghai, China. Chi Hai was financially supported by China Scholarship Council, and conducted his Ph.D. work at Lab. of molecular microbiology at Norwegian University of Life Sciences in 2012. On completion of his Ph.D., Dr. Chi now mainly focuses on the food quality and safety control, foodborne pathogens monitoring and inhibition, antimicrobial peptides (bacteriocins) and their applications on the seafood and aquaculture. Till now, Dr. Chi has published approximately 60 academic papers, 6 patents in China, and obtained scientific rewards from Shanghai and National bureau of oceanography.

Song Mei, Professor

Department of Information and Communication Training, College of Information and Communication, National University of Defense Technology, Xi’an, China

Topic: Three “Micros” and Four Learning Processes: a Blended Learning Design in EFL Teaching

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2021 5th International Conference on Education and Innovation

May 27-29, 2021

A blended learning design is proposed to enhance and promote active learning of English as a foreign language (EFL). The course of Military English has been re-designed based on a competence-based framework, which integrates face-to-face teaching, online learning, and practical activities, to personalize learning and promote participation in-and-after classes. The paper provides an effective blended learning design of three “micros” (micro-course, micro-resource, and micro-activity) and four learning processes (lead-in learning, consolidation learning, deepened learning, and track-down learning) for a language learning course, which is also very instructive in other courses.

Professor Song earned her master’s degree in linguistics in 2003 from Xi’an Foreign Languages University and has been a language teacher in a military academy for almost thirty years. She is currently a professor and a member of teaching supervision commission of the Department of Information and Communication Training, National University of Defense Technology. Her research interests focus on language teaching and military culture studies. She has published more than 40 academic papers related to language and culture teaching, edited more than 10 textbooks and 12 micro-lectures in military English, and has been in charge of 10 research projects in different levels. She won a Teaching Excellence Award in the college and a Teaching Silver Award in the military.

Dr. Wenhong Liu, Professor

School of Electronic Information, Shanghai Dianji University, Shanghai, China

Topic: Comprehensible Explanations of Determination Methods of Three Basic System Properties

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2021 5th International Conference on Education and Innovation

May 27-29, 2021

In the course of learning Signals and Systems, it is one of the emphases and difficulties to determine the basic system properties, such as linearity, time-invariance and causality. In teaching, it is found that students often only know the written expression of the determination methods, but do not understand the core of the determination methods. So they feel difficult to use. In order to help students to understand, this paper focuses on giving popular and common explanations to the traditional determination methods of the above three basic system properties, rather than sticking to the rigor of the theory. As for linearity determination, from the embodiment of additivity and homogeneity, the input signals are constructed; the discrimination of time invariance is considered from two aspects: time delay and the transformation of signals by systems; it is more convenience for judgment of causality to obtain the time relationship of output and input from some special moments. By means of the comprehensible explanations of the determination methods in this paper, students can easily understand and master the traditional determination methods of three basic system properties. More importantly, they can apply it to solve the determination problems of linearity, time invariance and causality of systems.

Dr. Wenhong Liu earned a Ph.D in signal and information processing from Dalian University of Technology. She worked at University of California, Berkeley as a senior visiting scholar, and Fudan University as a postdoctoral researcher in biomedical engineering. Dr. Liu is currently a professor and a member of Academic Committee, Shanghai Dianji University. Her research interests include non-Gaussian signal processing with alpha stable distribution, robust time delay estimation and applications, and weak signal detection by using stochastic resonance. She has published more than 50 papers of which 30 are indexed by SCI or EI, 2 Chinese patents and 1 translated (second translator). Dr. Liu also enjoys and is passionate about teaching. She won a Teaching Excellence Award for teaching a course on Signals and Systems.

Dr. Li Yong, Professor

Business School, China University of Political Science and Law, Beijing, China

Topic: Potential and Challenges of Chinese Direct Investment into ASEAN

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2021 5th International Conference on Economics, Finance and Management Science

May 27-29, 2021

This article tries to address the puzzle of a small share of China’s outward direct investment (CODI) in ASEAN by investigating the determinants of CODI in ASEAN over the period 1995 to 2019. Evidence presented in this article indicates that the small CODI cannot be fully appreciated without understanding differences between CODI in ASEAN and that in EU, the latter attracting CODI at full speed. Empirical results suggest that the CODI in ASEAN was primarily motivated by resource and market access, and that in EU was technical and strategic assets oriented. The main purpose of Chinese investors to invest abroad is not to use their existing ownership advantages expanding overseas production, but to compensate their disadvantage and improve competitiveness to strengthen the domestic production. The small CODI in ASEAN thus is a result of China investors' strong interest in gaining raw materials, skilled labor, sale channels and potential market for its export rather than benefiting from cheap labor and ASEAN's export and employment-promotion FDI regime, poor infrastructure, containment attitude for China investors, along with the political instabilities in ASEAN.

Dr. Li Yong is a professor in Business School at China University of Political Science and Law, Beijing, China. She also is a visiting scholar at Stanford University. Her main interests focus on the economics of the foreign and private sector and macroeconomic policy. Her expertise in institutional reform, FDI, and capital management has led to consulting assignments with small and medium sized firms and local governments in China. She has published two books and many articles in academic journals.

Dr. Xuesong Cao, Professor

College of Life Sciences, Liaocheng University, Liaocheng, China

Topic: A Novel Rapid, Simple Fluorescent Bioprobe Based Diagnosis of SARS-cov-2 Virion

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2021 5th International Conference on Public Health and Medical Sciences

May 27-29, 2021

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to more than fourteen million confirmed cases, with over three million deaths globally, as of April 20, 2021. To date, almost all diagnostic testing for the virus occurs in centralized laboratories, and involves expensive laboratory equipment, lengthy assays, and trained laboratory technicians. Developing rapid, simple, sensitive and specific and cheap to mass produce diagnostic assays remains an urgent need. We have developed a novel technique of fluorescent bioprobe based diagnosis for SARS-CoV-2 virion. The features of this method are rapid, simple, sensitive and suitably applied for point-of-care (POC) and high-throughput tests. The development of test kid by this novel diagnostic platform may provide fruitful diagnosis for SARS-CoV-2 based on its accurate, specific and easy to run, producing results in a short time, and cheap to mass produce.

Dr. Xuesong Cao received his Ph.D. degree in botany from Beijing University, Beijing, China. He is currently a Professor in the College of Life Sciences, Liaocheng University. He has published many academic papers with SCI-indexed (the total Impact Factor is over 25). His major research areas include the molecular diagnosis of SARS-COV-2, plant virus and genome editing.

Dr. Tiefu Liu, Professor

Shanghai Public Health Clinical Center, Fudan University, Shanghai, China

Topic: Chronic HIV Infection Primes Hyper Inflammatory Response to Subsequent Infections in AIDS Patients by Disturbing Immunometabolic Homeostasis

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2021 5th International Conference on Public Health and Medical Sciences

May 27-29, 2021

Despite the successful control of HIV replication by antiretroviral therapy, the consequent hyper-inflammatory sepsis upon subsequent infection becomes a leading cause of AIDS-associated death. It has been attributed to the hyper inflammatory priming by persistent immune activation and GLUT1-dependent hyper-glycolytic activity, however, the underlying knowledge is still incomplete. We have recently revealed that the imbalance of pro- and anti-inflammatory signaling is responsible for the immunometabolic modifications of AIDS patients. Upon activation of TLR4 signaling, AIDS immune cells expressed significantly higher pro-inflammatory cytokines and GLUT1-dependent glycolysis than healthy immune cells did, which was contrary to the repressed expression of the anti-inflammatory genes. Stimulating anti-inflammatory signaling reversed inflammatory imbalance by restricting nuclear translocation of pro-inflammatory gene transactivator but prompting nuclear translocation of pro-inflammatory gene repressors. Thus, restoring homeostasis of pro- and anti-inflammatory signaling of AIDS immune cells by activation of anti-inflammatory signaling promises prevention and effective therapy of AIDS-related sepsis.

Dr. Tiefu Liu has completed his MD education in Hengyang Medical College, Master education in China Medical University, PhD education in University of Hong Kong, and Postdoctoral studies in University of South California and Wake Forest University. He is currently the Professor and Foreign Expert of Shanghai Public Health Clinical Center, Fudan University，Adjunct Faculty Member of Wake Forest Unversity School of Medicine, Scientific Counselor of Chinese Society for Cancer Metabolism. He is expertized in Molecular Immunology, Sirtuin biology, the mutual actions of immunometabolism in regulation of acute inflammatory response, infectious diseases, inflammation to cancer transition, and molecularly targeted therapies of severe inflammation and cancers. His recent works have proposed sepsis as an immunometabolic disease and the key role of energy sensing-based energistic modifications in promting restoration of immunometabolism homeostasis during inflammation resolution, and have emphasized the sigificance of inflammatory phase-specific targeted therapies to improve sepsis outcomes. His previous works had produced a panel of immunotoxins for molecularly targeted therapies for glioblastoma and acute leukemia, and demonstrated APPL serves as a molecular link between extro- and intro-cellular signalings.

Dr. Xi Chen, Associate Professor

College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China

Topic: Astragaloside III Enhance the Tumor Response of NK Cells by Elevating NKG2D and IFN-γ

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2021 5th International Conference on Public Health and Medical Sciences

May 27-29, 2021

Natural killer (NK) cells play an irreplaceable role in the development of colon cancer, in which antitumor function of NK cells was impaired. Astragaloside III is a natural compound from Astragalus that has been shown to have immunomodulatory effects in various systems. However, few studies have evaluated the antitumor effects of Astragaloside III through stimulating systemic immunity and regulating NK cells. In this study, flow cytometry, immunohistochemical analysis, and immunofunctional assays were performed to elucidate the functions of Astragaloside III in restoring antitumor function of NK cells. We demonstrated that Astragaloside III significantly elevated the expression of natural killer group 2D (NKG2D), Fas, and interferon-γ (IFN-γ) production in NK cells, leading to increased tumor-killing ability. Experiments in cell co-culture assays and CT26-bearing mice model further confirmed that Astragaloside III could effectively impede tumor growth by increasing infiltration of NK cells into tumor and upregulating the antitumor response of NK cells. We further revealed that Astragaloside III increased IFN-γ secretion of NK cells by enhancing the expression of transcription factor T-bet. In conclusion, the effective anti-tumor function of Astragaloside III was achieved through up-regulation of the immune response of NK cells and elevation of NKG2D, Fas, and IFN-γ production.

Dr. Xi Chen received his Ph.D. degree in fermentation engineering from Tianjin university of science and technology, Tianjin, China and finished the research of Ph.D. project in Nankai university, China. He is currently an Associate Professor in the College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine. He has published many academic papers with SCI-indexed (the total Impact Factor is over 35). He is also a guest reviewer in the Journal of International Immunopharmacology. His major research areas include the immunopharmacology of traditional Chinese medicine, drug screening, tumor & allergic immune response and clinical transformation of basic immunology.

Dr. Fang Hu, Associate Professor

College of Information Engineering, Hubei University of Chinese Medicine, Wuhan, China

Topic: Clinical Knowledge Discovery Based on Graph Embedding

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2021 5th International Conference on Public Health and Medical Sciences

May 27-29, 2021

Exploring the complicated relationships underlying the clinical information is essential for the diagnosis and treatment of various diseases. Based on the real-world electronic medical records (EMRs) of the Coronavirus Disease 2019 (COVID-19) and Chronic Insomnia, an AI-based model of diagnosis and treatment is proposed for the clinical knowledge discovery. This model constructs the heterogeneous information network to exploit the complex relationships among the syndromes, symptoms, and medicines. Then, it generates the numerical symptom (medicine) embeddings and divides them into seven communities (syndromes) using the combination of the Skip-Gram model and Spectral Clustering (SC) algorithm. It identifies the key factors in symptom and medicine networks using six evaluation metrics of node centrality. The experimental results indicate that the proposed model is capable of discovering the critical symptoms and symptom distribution for diagnosis; the key medicines and medicine combinations for treatment. Furthermore, this model can provide tremendously valuable guidance and help physicians to combat the COVID-19 or other diseases.

Dr. Fang Hu received the Ph.D. degree in Complex Network from School of Computer, Central China Normal University, Wuhan, China. Dr. Hu acted as a postal-doctor researcher at University of West Florida, USA. She is currently an Associate Professor with the College of Information Engineering, Hubei University of Chinese Medicine, Wuhan, China. She has published over 30 papers in SCI, EI journals, etc. She is the guest editor or reviewer for SCI journals. Her main research interests include complex networks, machine learning, optimization algorithms, and data modeling in various research fields.

Dr. Bin Zhu, Professor

School of Energy and Environment, Southeast University, Nanjing, China

Topic: Semiconductor Membrane Fuel Cells

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2021 5th International Conference on Energy, Environment and Natural Resources

May 27-29, 2021

Conventional ionic conductivity has been developed by ionic conducting materials for the electrolyte. Typically, solid oxide fuel cell (SOFC), yttrium stabilized zirconia (YSZ) electrolyte, which needs high operational temperature above 700 °C to reach required ionic conductivity. High temperature requirements cause a delay of the SOFC commercialization. Metal oxide Semiconductor (MOS)-based materials possess basically intrinsic electronic conduction and mixed by extrinsic ionic conduction, they have been explored and developed as new functional material family with superionic conduction to replace the conventional electrolytes for new generation fuel cell technology and application. The band structure, p-n junction and build-in-field have been discovered to facilitate fast ionic transport. Tuning semiconductors and heterostructures to ionic conductors is a very effective approach to develop effective electro-catalysts and superionic conductivities for next generation fuel cells and novel energy devices. For example, fuel cells built on anode, electrolyte and cathode three components can now be constructed by semiconductor-ionic one component to realize more efficiently the fuel cell hydrogen oxidation reaction (HOR) and oxygen reduction reaction (ORR) through band structure and alignment without using the electrolyte separator. Numerous amounts of semiconductor-ionic materials have been explored and novel MOS fuel cell technologies have been demonstrated. Some examples are bulk hetero p-n junction and Schottky junction for single layer fuel cells, designed by energy bands and alignments. New disciplines of Semiconductor-Ionics and Semiconductor Electrochemistry have been establishing not only for energy conversion, e.g. fuel cells, but also for energy storage devices like batteries.

Dr. Bin Zhu, Professor has been studying ceramic fuel cell, materials, technology and science including superionic conductor and electrocatalysis, semiconductor-ionic materials and single layer fuel cell, electro-catalyst reaction, charge separation and transfer and surficial and interfacial ionic transport mechanisms for more than 30 years. Most of his research focuses on ceria-based composite superionic conductor for low temperature solid oxide fuel cell (LTSOFC), semiconductor-ionic electrolyte-free fuel cell and single layer to semiconductor-membrane fuel cells and joint fuel cell and solar fuel principle and technology. He has explored and set up semiconductor-ionic and semiconductor application for electrochemistry, i.e. semiconductor electrochemistry for fuel cell research and development, especially, semiconductor membrane fuel cells, where electron-ion coupling enhanced ionic conductivity, multi-charge transfer and super proton transport processes, surficial and interfacial superionic conduction design and methodology with an emphasis on nano-scale materials, nano-redox reaction process and nano-redox devices for new generation energy conversion technology and application. He has published about 400 SCI papers that have been cited over 10000 times (H index = 53). He has been the recipient of 2018 WSSET (World Society of Sustainable Energy Technologies) Innovation award for Power Generation. Sustainable energy award. He is one of the Most Cited scholars in China (Energy sector, Elsevier) every year since 2014-.

Dr. Xiao Wu, Associate Professor

Department of Energy Information and Automation, School of Energy and Environment, Southeast University, Nanjing, China

Topic: Advanced Control of Solvent-based Carbon Capture System for Wide Range Flexible Operation

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2021 5th International Conference on Energy, Environment and Natural Resources

May 27-29, 2021

Solvent-based carbon dioxide capture technology is currently the most promising technology for coal-fired power plant flue gas carbon capture. Because coal-fired power plants are widely involved in peak regulation and the chemical solvent regeneration requires to consume huge amount of heat, it is of great significance to conduct overall scheduling and control research on the integrated coal-fired power plant-carbon capture process to achieve flexible operation of the system. This study develops a high-precision simulation platform for Supercritical coal-fired power plant-carbon capture system. An overall optimal scheduling method for power plant carbon capture system in the context of renewable energy penetration is proposed, and the role of power plant-carbon capture system in future low carbon energy mix is studied. A novel control scheme for the power plant-carbon capture is proposed based on the model predictive control (MPC) to track the scheduling results, in which the re-boiler steam flowrate is incorporated in the boiler-turbine coordinated control system to assist the regulation of power output and the lean solvent flow is used to control CO2 capture rate in the carbon capture system. By making full use of the interactions and time scale difference between the supercritical coal-fired power plant and the solvent-based post-combustion carbon capture system, the proposed approach can effectively improve the load response speed of the power plant, making it have a stronger peak-shaving capacity of the power grid with limited impact on the operation of the carbon capture system.

Dr. Xiao Wu received his B. S. degree and Ph. D. degree in Energy information and Automation in Southeast University, Nanjing, China, in 2008 and 2014. He joined Southeast University in 2014 as assistant professor in School of Energy and Environment, was promoted to associate professor in 2019. Since 2019, he has been a visiting professor in Department of Chemical and Biological Engineering in the University of Sheffield, UK. Prof. Wu has been investigators in over 20 research grants with funding from European Union, Royal Society, NSFC, MOST and Industry. He has published over 100 peer-reviewed papers including Applied Energy, Energy, Fuel, IEEE Trans. Energy Conversion. He has been awarded Jiangsu Outstanding Youth Foundation, Excellent young scholar of Jiangsu Engineering Thermophysics Society, Royal Society-Sino-British Trust International Fellow, Young Science and Technology Talents of Jiangsu Province in the last three years. His main research area is in Process Systems Engineering for Energy and Environment, including Process Modelling, Simulation, Control and Optimization, Big Data and Artificial Intelligence (AI), Power Plants，Carbon Capture, Utilization and Storage (CCUS) and Integrated Energy System (IES).

Dr. Nian She, Professor

Tsinghua University Innovation Center in Zhuhai, Zhuhai, China

Topic: Developing a Powerful Assessment Tool to Quantify Climate Change Impacts and Future Risk in High Spatial Resolution for the Southeastern of China

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2021 5th International Conference on Energy, Environment and Natural Resources

May 27-29, 2021

The impacts of climate change on the south-eastern of China have been witnessed in recent years, but the previous studies are too coarse in spatial resolution resulting. These studies cannot be used for local infrastructure and natural disaster prevention planning and engineering design. Further, the lack of appropriate assessment tools to quantify the future risk is a major obstacle for city planners and engineers. To overcome these difficulties and challenges we developed a powerful assessment tool based on high-resolution climate and hydrology models to quantify the future risk caused by the climate impacts. The tool can quantify rainfall characteristics, extreme weather events, flood risk from 4-12 square kilometers up to 2060 on a spatial-temporal scale. The tool was used in Zhuhai natural disaster prevention master plan as an excellent application example.

Dr. Nian She is the Director of Institute of Smart Sponge City Construction and Planning and a professor of Innovation Center in Zhuhai of Tsinghua University. Dr. She has more than 30 years of experience in river/lake restoration, sediment remediation, water quality, climate/hydrologic/hydraulic modeling, stormwater management and water resources planning and management. He was a senior civil engineering specialist with City of Seattle before joining Tsinghua University Innovation Center in Zhuhai. He is also a distinguish professor in Guangzhou University and a guest professor in Shenzhen University of China. Dr. She has been working in Climate change associated with urban disaster prevention and planning, taking account of climate change into LID/GSI design and stormwater management since early 1990s. He has been working on hundreds of LID/GSI projects worldwide.

Dr. Yingchun Chen, Associate Professor

College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China

Topic: Noncontact Detection on Steel Pipeline Damage

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2021 5th International Conference on Civil and Environmental Engineering

May 27-29, 2021

With developments in electric power, energy, and transportation industries in china, the number of steel pipelines is now increasing rapidly as energy transportation through pipelines has unique advantages. Since oil & gas within the pipelines are flammable and explosive, pipeline failures would cause many casualties and huge economic losses, also resulting in serious pollution to the environment. Therefore, pipeline damage inspection is of top priority to insure the safety of pipelines. However, the existed external inspection technologies for buried pipeline damage demand excavation of the pipeline which makes these technologies of high cost and low efficiency. Meanwhile, excavation of the pipeline may cause new damages to the pipeline. In order to solve this both scientific and engineering challenge, a noncontact detection technology based on weak magnetic field was proposed. This talk will present a systematic report on the research of this technology which mainly includes: 1) the detection mechanism; 2) design on a multi-space full tensor magnetic gradient detection array probe; 3) coupling law of pipeline damage and magnetic anomalies along with its decoupling method; 4) pipeline damage identification and positioning algorithm; 5) engineering applications.

Dr. Yingchun Chen is with College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology. He got his Ph.D in Mechanical Engineering from China University of Petroleum-Beijing. His research interests include: AC corrosion and nondestructive testing on Oil & Gas pipelines, marine tubing mechanics. He is the deputy director of Zhongguancun Open Laboratory and Rixin Scientist of Beijing University of Technology. He is in the Editorial Boards of Oil & Gas Storage and Transportation. He was the session chair of IEEE International Conference on Mechatronics and Automation (ICMA 2013) and International Conference on Corrosion Protection and Application (ICCPA 2019). He serves as reviewer for many nondestructive testing journals. He has received many accomplished and ongoing projects, such as the National Key Research and Development Program of China, National Natural Science Foundation of China, National High Technology Research and Development Program of China and so on. He has published more than 60 papers of which 25 are indexed by SCI, 20 Chinese Patents and 1 industry standard.