Dr. Tianshou Ma, Professor

School of Petroleum Engineering, Southwest Petroleum University, Chengdu, China

Topic: Quantitative Risk Assessment of Wellbore Stability for Heterogeneous Formations During Deep Oil and Gas Drilling

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2022 7th International Conference on Energy, Environment and Earth Sciences

Nov. 26-27, 2022

Deep oil and gas formations typically exhibit complex lithology, strong heterogeneity, and strong uncertainty; consequently, there is a very high risk of wellbore instability during drilling and completion, which would seriously affect the safety, efficiency, and cost of drilling and completion operations. Therefore, to prevent wellbore collapse in such heterogeneous formations, a risk assessment method of wellbore instability was proposed based on reliability theory. The risk of wellbore instability was evaluated for both vertical and inclined wells. In addition, a numerical simulation method was proposed for progressive failure of an open-hole in inhomogeneous formations, a multi-layer finite element method with multiple iterations was used to solve this model. The progressive failure process of a wellbore in inhomogeneous formations was simulated, the influences of heterogeneity, progressive failure process, and wellbore pressure change are discussed in terms of progressive failure of wellbore, and systematic parametric simulation and analysis were conducted. This report will provide a basic and engineering understanding of wellbore instability in heterogeneous formations.

Dr. Tian Qiu

Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

Topic: Association Among Calf Circumference, Physical Performance, and Depression in the Elderly Chinese Population: a Cross-sectional Study

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2022 6th International Conference on Health, Medicine and Life Sciences

Nov. 26-27, 2022

Depression and sarcopenia are common diseases in the elderly population. However, the association between them is controversial. Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database, a cross-sectional study was conducted to explore the relationship between calf circumference and physical performance with depression. Methods: From the 8th wave of CLHLS conducted in 2018, data on calf circumference, physical performance, depressive symptoms, and demographic, socioeconomic, and health-related characteristics were collected. Multiple logistic regression was conducted to explore the impact of calf circumference, physical performance and their combination on depressive symptoms. Results: We enrolled a total of 12,227 раrtіcіраnts aged 83.4 ± 11.0 years, including 5689 (46.5%) men and 6538 (53.5%) women. Patients with depression were more likely to have low calf circumference (2274 [68.2%] vs. 5406 [60.8%], p<0.001) and poor physical performance (3[0, 6] vs. 1[0, 4], p<0.001). A significant multiplicative interaction was found between calf circumference and physical performance in their effect on depression. After adjusting for confounding factors, multiple logistic regression showed that a significant inverse correlation persisted between physical performance and depressive symptoms in normal (odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.15–1.26, p<0.001) and low (OR = 1.14, 95% CI: 1.11–1.18, p<0.001) calf circumference group, while the association between calf circumference and depression disappeared. Ƥartіcіpants with low calf circumference and poor physical performance were 2.21 times more likely to have depression than those with normal calf circumference and physical performance. All results were found to be robust in sensitivity analyses. Conclusions: Physical performance was significantly associated with depression in the elderly Chinese population. Attention should be paid to assess depressive symptoms in patients with poor physical performance.

Dr. Tian Qiu, a doctor of psychiatry, an academic member of the Sleep Disorders Special Committee of the Chongqing Psychological Association, a secretary of the Chongqing Department of the Western Psychosomatic Medicine Special Committee, a member of the Youth Study Group of the Psychiatry Special Committee of Chongqing Physicians Association, a member of the Child and Adolescent Mental Health Group of Chongqing Medical Association, a member of the Psychological Association of Chongqing Medical Association, a member of the Family Education Special Committee of Chongqing Psychological Association.

Dr. Chang Liu, Professor

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing, China

Topic: Construction and Analysis of Evaluation System for the Registration of Functional Food Crude Materials Based on AHP

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2022 6th International Conference on Health, Medicine and Life Sciences

Nov. 26-27, 2022

Objective: To implement an evaluation system of functional food crude materials for their ranking to support the registration policy as required by the Chinese legislation. Methods: First, the literature review and expert interview were used to determine the factors and their hierarchical relationships for the construction of the Functional Food Crude Materials Evaluation System (FUFMES). Secondly, the Analytic Hierarchy Process (AHP) method was used to calculate the weights of these factors. Thirdly, the extreme value was calculated for each factor; Fourthly, the index score and the ranking result were generated for each crude material; Lastly, the rankings obtained based on FUFMES were compared with that from the expert panel. Results: A total of 56 factors that were important for the evaluation were identified. These factors were organized in three levels. The weights of these factors were determined using the AHP method. Nine crude materials were analyzed using FUFMES to generate the following index scores: Panax quinquefolium (0.49), Panax ginseng (0.48), Ginkgo biloba (0.21), Ganoderma lucidum spore powder (0.08), fish oil (0.06), Spirulina platensis (0.03), Coenzyme Q10 (0.02), melatonin (0.01), garlic oil (−0.03). Comparison of the rankings based on FUFMES index score and those by the experts showed high degree of consistency. Conclusion: FUFMES for integrated evaluation of the functional food crude materials were successfully established. FUFMES will become an invaluable tool for the ranking and evaluation of functional food crude materials catalogue.

Dr. Chang Liu is currently Associate Director of Bioinformatics Research Center in Institute of Medicinal Plant Development (IMPLAD) affiliated with Chinese Academy of Medical Science (CAMS) in Beijing, China. Professor Liu graduated from University of Minnesota (Twin Cities Campus) with a Ph.D. degree. Professor Liu has published more than 100 research papers in academic journals including Science, Nature Communication, Nucleic Acids Research, Molecular Ecology Resources, PNAS and etc. He has edited six books and holds a dozen patents and software copyrights. He has received more than twenty grants from various sources. He was awarded two national awards for the Development of DNA Barcode-based Molecular Identification System for Medicinal Plants. He has served as the Editor-in-Chief for the SCI journal Mitochondrial DNA Part B-Resources since 2019.

Dr. Aifeng Li, Associate Professor

Department of Otolaryngology Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China

Topic: The Characteristics of Otoacoustic Emissions in Full-term Neonates According to ABO Blood Groups

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2022 6th International Conference on Health, Medicine and Life Sciences

Nov. 26-27, 2022

Introduction: Previous research has suggested that individuals with different blood groups show varied incidences of noise-induced hearing loss. The reduced otoacoustic emissions amplitudes indicate the higher possibility of outer hair cell damage for noise exposure. Objective: The objective is to analyze the characteristics of otoacoustic emissions, including the occurrence of spontaneous otoacoustic emission and the amplitudes of distortion product otoacoustic emission at certain frequencies in full term neonates with different ABO blood groups. Methods: A total of 80 selected full-term female neonates who passed the initial newborn hearing screen were enrolled into the study, with equal number of participants in four ABO blood groups (Blood Group A, Blood Group B, Blood Group AB, Blood Group O). Measurements of spontaneous otoacoustic emission and distortion product otoacoustic emission were performed in both ears for all participants. Results: (1) The blood group O participants showed significantly fewer spontaneous otoacoustic emission occurrences than the other three blood groups (A = 70%, B = 80 %, AB = 67 %, O= 25 %, p < 0.05). (2) The blood group O participants showed lower DPOAE amplitudes at 1257 Hz (M = 4.55 dB, SD = 8.36), 1587 Hz (M = 11.60 dB, SD = 6.57), 3174 Hz (M = 7.25 dB, SD = 5.99), 5042 Hz (M = 13.60, SD = 6.70) than participants with the other three blood groups in left ears (p < 0.05). In right ears, the blood group O participants showed reduced amplitudes at 1257 Hz (M = 6.55 dB, SD = 8.36), 1587 Hz (M = 13.60 dB, SD = 6.57), 3174 Hz (M = 7.65 dB, SD = 6.43), 5042 Hz (M = 13.65 dB, SD = 6.50) than participants from non-O blood groups (p < 0.05). Conclusion: Female individuals with blood group O have lower otoacoustic emissions values than individuals with the other three blood groups. We need to further investigate the possible relationships between the ABO blood group and cochlear function, including the potential influences of noise damage on cochlear outer hair cells.

Dr. Aifeng Li, doctor of medicine, associated professor, graduated from Capital Medical University majoring in audiology. She works in the Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University. She is a member of the Chinese Association of Pathophysiology and has authored many scientific publications in prestigious journals. Prof. Li’s main research fields are exploring the mechanism of sensorineural hearing loss, rehabilitation after cochlear implantation and related audiology research. She also delivered many speeches on the otolaryngologist conference of Chinese Medical Association.

Dr. Hailong An, Professor

Institute of Biophysics, Hebei University of Technology, Tianjin, China

Topic: Structure, Function and Drug Discovery Targeting ANO1

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2022 6th International Conference on Biology and Life Sciences

Nov. 26-27, 2022

ANO1, also known as Calcium-activated chloride channel, is widely present in human tissues and organs, and plays critical roles in physiological and pathological processes. However, the structural basis of the allosteric gating and detail mechanism of ANO1 which is involved in the diversity of diseases is still obscure. Herein, I will talk about the progress, which is made by our lab recently, on understanding the molecular mechanism of calcium and voltage-dependent gating of ANO1, confirmation of drug target role in lung adenocarcinoma, osteoporosis, and gastrointestinal motility deficiency, and drug screening targeting ANO1. We determined the structural bases and molecular mechanisms by which calcium and membrane voltage regulate the gating of ANO1. Moreover, the druggable binding pockets were identified in ANO1 and several leading compounds were proved to be potential drugs for the corresponding disease. Our findings indicate that ANO1 is a potent drug target for lung adenocarcinoma, osteoporosis and gastrointestinal motility deficiency.

Dr. Hailong An received his PhD degree in Biophysics from Hebei University of Technology in 2005. After that, he was appointed to the faculty in Institute of Biophysics, Hebei University of Technology. Awarded by China Scholarship Council, he has been to Prof. Diomedes Logothetis’ Lab in Virginia Commonwealth University and Prof. Jianmin Cui’s Lab in Washington University in Saint Louis as a visiting scholar. Dr. An focuses on understanding the structure-function of ion channels and drug screening targeting ion channels. Dr. An has authored more than 70 peer-reviewed publications in journals including, Nature Communications, Bioactive Materials, Journal of Biological Chemistry, etc. and has achieved more than 950 citations, H-index=17. Dr. An has been funded by more than 20 research projects from the National Natural Science Foundation of China or provincial items.

Dr. Zhanhui Liu

School of Civil Engineering, Southwest Jiaotong University, Chengdu, China

Topic: New Progress on Impact Protection Research of Bridges Against Rockfall

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2022 6th International Conference on Civil Engineering

Nov. 26-27, 2022

With the intensification of human engineering activities in mountain areas, as well as global warming, seismic activity and other factors, geological disasters in mountain areas occur frequently. According to statistics, collapse and rockfall account for more than 17% of all geological disasters, which are characterized by difficult prediction, strong suddenness, great randomness, serious disaster, and wide influences. For some rockfalls with small volume and low speed, they will generally cause local damage to the bridge. When encountering large rockfall impact, they may cause the overall damage of the bridge structure. Flexible shed tunnel is a common passive protection measure, which is very suitable for rockfall protection of bridges due to its lightweight structure and convenient installation. In order to study the response of the flexible protective shed tunnel of bridges under the impact of rockfall, LS-DYNA explicit dynamic analysis software is used, and the dynamic response of flexible shed tunnel and bridge structure caused by rockfall at different impact speeds, different impact locations and the simultaneous occurrence of multiple rockfalls is analyzed. Thus, the response laws of the three main components of the shed tunnel structure, namely, high-strength steel wire mesh, steel arch ring and steel beam, as well as the T-beam structure itself against rockfall are obtained. Then, based on the analysis results of the traditional flexible protective shed tunnel, a new flexible shed tunnel for prestressed simply supported T-beam bridge is further proposed, and the parameters of each component are optimized. All these research works provide a reference for the engineering design of bridge rockfall protection.

Dr. Mingzhi Wang

School of Civil Engineering, Harbin Institute of Technology, Harbin, China

Topic: Electric-heating Cement and Concrete: A Realization of Urban Construction During Winter

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2022 6th International Conference on Architecture and Urban Planning

Nov. 26-27, 2022

Urban planning seeks a feasible balance of natural, social and historical resources. The construction process is crucial in realizing the urban plan, and seasonal consideration is always of great necessity. In this presentation, we demonstrate a novel electric heating technique to perform winter construction using cementitious material. The aim of this study is to develop a realistic solution for winter construction in urban areas. Technically, we adopted graphene nanoplatelet (GNP) and carbon nanofiber (CNF) as conductive fillers and provided local electric power over the construction section in order to generate heat for the cement curing process. Electrifying the cement-carbon composite enabled internal heat generation for early-stage curing at low temperatures (-20 ℃). The experimental investigation was conducted with electrical resistivity measurement and backscatter electron (BSE) imaging. The numerical research was conducted with the percolation analysis and formation factor analysis. It was found that the increased content of the nano inclusions raised the fraction of connection as a result of the percolation development. The formation factor analysis indicated that a conductive network was stabilized when the content of the nano inclusion was higher than the percolation threshold (10 %wt). A comparison study between GNP composite and CNF composite shows that the specific surface area is crucial to determine the optimum carbon content. The dispersion of the CNF was evaluated with the BSE imaging process, showing that the duration of the mechanical mixing process significantly influences carbon dispersion. Consequently, it was found that the material utilization design we proposed is capable of providing a material-scale solution for sub-zero temperature construction for cold regions and winter periods in urban construction.

Dr. Meng Fanlei, Associate Professor

School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, China

Topic: Research on the Adaptive Reuse Potential of Industrial Heritage in the View of Urban Renewal

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2022 6th International Conference on Architecture and Urban Planning

Nov. 26-27, 2022

How to maximize the existing industrial buildings through transformation and utilization and promote the development of urban areas has become a problem that cannot be ignored. Compared with the value research in the traditional sense, the research on the reuse potential of industrial heritage is more helpful to measure the specific intervention time of industrial heritage and guide the overall strategy of transformation and reuse in urban renewal. The purpose of this paper is to comprehensively sort out the existing evaluation of the adaptive reuse potential of industrial heritage at home and abroad. Through the discussion of the evaluation of the reuse potential, and in view of the problems existing in the existing research and the characteristics of the potential evaluation indicators at different levels, an evaluation indicator system is found to discuss the reuse potential of industrial heritage from the perspective of urban areas, providing new ideas for the evaluation of the reuse potential and determining the transformation time sequence, so as to better guide the problems faced by industrial heritage in urban renewal.

Dr. Fanlei Meng is now the deputy director of the Department of Architecture, Beijing University of Civil Engineering and Architecture. He graduated from the School of Architecture of Tsinghua University in 2017, and from 2015 to 2016, he went to TU Delft as a visiting scholar. At present, he is an academic member of the Academic Committee of Industrial Building Heritage of the Chinese Architectural Society and the Academic member of the Whole Process Consulting Center of Beijing Urban Planning Society. His research interests include architectural design and theory, urban design and urban renewal, protection and reuse of industrial heritage, and architectural transformation. He has presided over one National Natural Science Foundation and two Beijing Social Science Foundations.

Dr. Haimin Dai

School of Education, Shanghai Jiao Tong University, Shanghai, China

Topic: Persistence in Online Learning: A Systematic Review

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2022 6th International Conference on Education and Information Technologies

Nov. 26-27, 2022

The outbreak of COVID-19 has brought drastic changes in social life. The evolving global situation stresses schools to instigate changes in the way they operate to curb the spread of the virus and safeguard their staff’s and students’ health and safety (World Health Organization, 2020). Online learning has been suggested as a feasible alternative to ensure the continuity of learning and chosen by many schools globally. Correspondingly, online learning has shifted its role of an extended/complementary nature into a substitutive/integrated part of formal education. Even though it has been almost three years into the COVID-19 pandemic, 43, 518, 726 students are still reported to be affected by partial or complete school closure (UNESCO, 2022). To optimize learners’ experience in the virtual settings and promote their learning achievement, it is worthwhile to grab this opportunity to reflect and examine the online learning experience documented in the extant literature, synthesize the research findings regarding the underlying mechanisms influencing learners’ persistence in online learning, and correspondingly devise targeted strategies to tackle the dropout issue systematically. The speech will discuss our findings regarding (a) the current literature on persistence in online settings; and (b) the areas where knowledge is inclusive or as yet well-explored, thereby identifying directions for future research.

Dr. Haimin Dai has received her Bachelor’s and Master’s degrees at Sun Yat-sen University and her doctoral degree from Murdoch University, Australia. She is currently an assistant professor at the School of Education, Shanghai Jiao Tong University. Her primary research interest focuses on the use of technology in education. As a lead/corresponding author, she has published several articles in highly ranked journals across various fields of research, including Computers & Education (rated top 1% in Education), Computers in Human Behavior (ranked top 3% in Psychology, Experimental), Interactive Learning Environments (JCR, Q1), Journal of Computer Assisted Learning, and Higher Education(JCR, Q1). She also led and participated in research projects in mainland China, Macau and Australia. Her achievements were also recognized by Murdoch University. She received the “Best Publication Award for HDR students 2020” and the “2021 Vice Chancellor's Excellence in Research — Best Research Output Award” from Murdoch University. In October 2021, she was awarded the prize of “Excellent Chinese Overseas Students” by the Chinese Ministry of Education.

Dr. Jun Cui, Associate Professor

School of Education Science, Nanjing Normal University, Nanjing, China

Topic: The Impact of Entrepreneurship Education on the Entrepreneurial Mindset of College Students in China: The Mediating Role of Inspiration and the Role of Educational Attributes

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2022 6th International Conference on Education and Human Development

May 28-30, 2022

Using a mediating model, this article highlights entrepreneurial mindset (EM) as a novel impact of entrepreneurship education (EE) and addresses the scarcity of research on the relationship between EE and EM. Based on 1428 valid samples from higher education students in China, the results revealed that the impact of EE on EM is complex. EE significantly enhanced students’ entrepreneurial inspiration, which, in turn, promoted formation of students’ EM. Entrepreneurial inspiration also mediated the impact of EE on EM at a significant level. In addition, the role of educational attributes, including the type of learning experience, type of course, and type of activity were highlighted. Finally, the direct effect of extracurricular activity was found to be significantly positive whilst that of curriculum attendance was significantly negative. Our findings contribute to theories of both EE and EM and particularly to the understanding of not only whether, but also how EE affects EM in higher education settings. The findings of this research can help to inform the future design and assessment of EE programs.

Dr. Jun Cui is an Associate Professor at Nanjing Normal University. His current research interests include the entrepreneurial education, technology and engineering education. He was a Visiting Research Fellow at the Department of Education, Oxford University, and is currently in charge of a national fund project on entrepreneurial education in China.

Dr. Haimin Dai

School of Education, Shanghai Jiao Tong University, Shanghai, China

Topic: Learning Persistence in MOOCs

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2022 6th International Conference on Education and Human Development

May 28-30, 2022

Addressing the high dropout rate is a critical issue in the discourses of MOOCs, as (a) providers need to motivate more learners to persist in MOOC learning to sustain the MOOC community, and (b) learners with an initial intention to complete MOOCs need support and assistance in the learning process. The high dropout rate is also a pressing issue hindering the development of Chinese MOOCs. More importantly, Chinese MOOCs have been assigned the mission to facilitate equal access to quality education, especially to eliminate regional and intercollegiate disparities in educational resources distribution (MOE, 2019). In this situation, Chinese MOOC learners are expected to persist in learning the courses to reap the most from this learning environment and complement the shortage of quality education in their local regions or affiliated universities. This speech will introduce the findings of three empirical studies investigating the factors underlying learners’ continuance intention to learn in a Chinese MOOC, thereafter, a comprehensive model is proposed, hoping to deepen the understanding of the high dropout issue in MOOCs.

Dr. Haimin Dai has received her Bachelor’s and Master’s degrees at Sun Yat-sen University and her doctoral degree from Murdoch University, Australia. She is currently an assistant professor at the School of Education, Shanghai Jiao Tong University. Her primary research interest focuses on the use of technology in education. As a lead/corresponding author, she has published several articles in highly ranked journals across various fields of research, including including Computers & Education (rated top 1% in Education), Computers in Human Behavior (ranked top 3% in Psychology, Experimental), Interactive Learning Environments (JCR, Q1), Journal of Computer Assisted Learning, and Higher Education(JCR, Q1). She also led and participated in research projects in mainland China, Macau and Australia. Her achievements were also recognized by Murdoch University. She received the “Best Publication Award for HDR students 2020” and the “2021 Vice Chancellor's Excellence in Research — Best Research Output Award” from Murdoch University. In October 2021, she was awarded the prize of “Excellent Chinese Overseas Students” by the Chinese Ministry of Education.

Dr. Xiaolan Yu, Professor

Law School, Anhui Normal University, Wuhu, China

Topic: Legal Coordination of Conflicts of Interests Among Stakeholders in the Processing of Personal Data

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2022 6th International Conference on Social Sciences and Humanities

May 28-30, 2022

The processing of personal data involves various stakeholders, such as natural persons, personal data processors, and supervisors. These stakeholders process or supervise personal data based on their respective interests or duties. However, because several interests are involved, conflicts may occur due to the value of the data in question. This paper builds a theoretical framework based on the methodology of interest measurement to alleviate conflicts of interest concerning data. It explores, from the perspectives of rights, obligations, and liabilities, the supervisors’ duty of protecting the public interest. Regarding personal data of natural persons, corresponding rights are allocated according to the relevant provisions of the Civil Code and the Personal Information Protection Law of the People's Republic of China. For personal data processors in superior positions, obligations and liabilities are allocated according to the relevant provisions of the above laws, and in light of the core of reasonable restrictions on individual standards against society's standards, the duties of supervisors and protection of public interests are clearly defined.

Dr. Xiaolan Yu is a professor and a doctoral supervisor at Anhui Normal University as well as a post-doctorate in law at Shanghai Jiao Tong University. Her main research areas are basic theories of civil law and private law governance of data. She has published several papers on data legal protection in the SSCI Source journals, and she has also published several papers in the Chinese CSSCI source journals, meanwhile, a monograph written by her has been published.

Dong Luo, Associate Professor

School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China

Topic: Multi-structure Integrated Li-rich Mn-based Oxide Cathodes

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2022 6th International Conference on Energy, Environment and Resources

May 28-30, 2022

Li-rich Mn-based layered oxides (LLOs), especially for Co-free one, are one of the most promising cathodes to improve the energy density of Li-ion batteries (LIBs) over 350 Wh kg^-1, which can meet urgent desire of electric vehicles for long duration and low cost. However, serious capacity fading and voltage decay hinders the practical application of LLO cathodes, which originates from surface-related changes, such as oxygen release, TM migration and dissolution, structural evolution and consumption of electrolyte. To this end, this speech will introduce how to construct a robust surface integrated structure for LLOs, and its influence mechanism on electrochemical performance.

Dr. Dong Luo is an Associate Professor at the School of Chemical Engineering and Light Industry, Guangdong University of Technology. He was obtained his PhD degree from School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University in June 2018. He has been studying on cathode materials for lithium-ion batteries for more than 10 years since he studied for his master's degree in September 2010. Up to now, he has published more than 20 SCI papers as the first author or corresponding author, including Angew. Chem. Int. Ed., Adv. Energy Mater., ACS Energy Lett., Adv. Funct. Mater., J. Energy Chem. and Nano Energy etc.

Dr. Bin Bao, Associate Professor

Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, China

Topic: Piezoelectric Energy Harvesting for Low Energy Density Applications

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2022 6th International Conference on Energy, Environment and Resources

May 28-30, 2022

Traditional electromagnetic energy harvesting methods are hard to deal with collecting energy from low energy density applications. This speech will introduce several efficient piezoelectric energy harvesting approaches for low energy density applications to overcome this drawback, such as energy harvesting from small hydro, vehicles, and human motion. For example, a bladeless rotational piezoelectric energy harvester was proposed for hydroelectric applications of ultra-low and wide-range flow rates. The proposed harvester makes full use of the advantages of piezoelectric materials and the ancient Chinese Qiqi structure. It overcomes the difficult problem in harvesting liquid energy with (ultra) low energy density through the working principle of intermittent periodic power generation.

Dr. Bin Bao is currently a Research Associate Professor at the Department of Mechanics and Aerospace Engineering of Southern University of Science and Technology in Shenzhen of China. He also works as Technical Consultant in Shenzhen Jiachen Technology Co., LTD, China. Based on his academic achievements, he has been honored with Vebleo Fellow Jr. He is a Senior Member of The International Institute of Acoustics and Vibration (IIAV), Chinese Society for Vibration Engineering and Chinese Mechanical Engineering Society. He was awarded the title of Senior Engineer in the Guangdong Province of China. His research interests span a wide range of topics in vibration and wave control based on piezoelectric materials and structures.

Dr. Jinjin Yan, Associate Professor

Qingdao Innovation and Development Center, Harbin Engineering University, Qingdao, Shandong, China

Topic: 3D Space-based Seamless Path Planning in Indoor and Outdoor

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2022 6th International Conference on Energy, Environment and Resources

May 28-30, 2022

Contemporary living environments are getting more and more complex, combining structures indoor and outdoor. These structures can be broadly subdivided into entirely bounded (indoor), partially bounded (semi-bounded), and unbounded (outdoor). Normally, agents (e.g., pedestrians) wish to have seamless navigation when seamlessly transferring from one kind of environment to another and back. This research developed new theories, models, and approaches to support seamless navigation in all kinds of environments, which include a novel generic space definition framework, a unified 3D space-based navigation model, approaches for automatically reconstructing 3D spaces, and four new path options (MTC-path, NSI-path, ITSP-path, and indoor FD-path). This research brings in four contributions to seamless navigation: (i) living environments (spaces) are systematically categorized and defined as indoor (I-space), semi-indoor (sI-space), semi-outdoor (sO-space), and outdoor (O-space); (ii) all types of spaces are uniformly modeled and managed as 3D spaces, thereby sharing the same approaches for deriving navigation networks; (iii) sI-spaces and sO-spaces are included in navigation maps, which allows developing new path options based on them; and (iv) on the basis of 3D spaces, vertical constraints are considered in navigation path planning.

Dr. Jinjin Yan is an Associate Professor at the College of Intelligent Systems Science and Engineering, Harbin Engineering University. He graduated and obtained his PhD degree from Faculty of Built Environment, UNSW in November 2020. He was a member of the Geospatial, Research, Innovation and Development (GRID) lab in UNSW. He finished his master’s degree (2013-2016) and bachelor’s degree (2009-2013) in the Faculty of Information Engineering, China University of Geosciences in Wuhan. Since October 2016, he started his PhD research in the 3D GeoInformation group at the Department of Urbanism, Delft University of Technology. In February 2018, he transferred to UNSW. He currently is focusing on 3D modelling, 3D space-based navigation, 3D analysis of spaces, 3D space subdivision, seamless indoor and outdoor navigation, BIM and GIS integration, path planning algorithms, Mobility as a Service (MaaS), super navigation network.

Dr. Weina Liu, Professor

College of Physical Education and Health, East China Normal University, Shanghai, China

Topic: Behavioral Evidence and Neural Mechanism of Exercise Intervention for Depression

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2022 6th International Conference on Psychology and Behavioural Sciences

May 26-28, 2022

Depression affects at least 322 million people in the world, and may rank first in the overall global burden of diseases by 2030. However, there is still limited understanding on the pathogenic factors and the treatment of depression. The present speech will introduce the behavioral evidence and neural mechanism of exercise intervention in depression from our animal experiments. We reproduced depressive behavior in animals based on the potential influencing factors of depression such as stress, tryptophan metabolism, circadian rhythm and neuropeptides. We also explored the regulatory effect of exercise on depressive behavior from the aspects of "exercise intervention strategy", "comparison with the antidepressant" and "combination with drug intervention". On this basis, we found a variety of neural mechanisms that mediate the antidepressant effect of exercise, including HPA axis, neuroinflammation, metabolism, neural plasticity and neuropeptides. Collectively, our results delineate that exercise is a promising treatment for depression from the perspective of behavioral evidence and neural mechanism.

Dr. Weina Liu, the young scholar of "Changjiang Scholars Programme of China" rewarded by the Ministry of Education, is a Professor and the Vice Dean of the College of Physical Education and Health, East China Normal University. She has published more than 40 academic papers, 16 papers were indexed in SCI and SSCI as the first/corresponding author (9 in JCR Q1 or Q2), 13 papers in Sports Science-the authoritative journal of sports science in China. Papers were cited by the international authoritative journals such as Cell and PNAS. She has presided over more than 10 projects, including the National Natural Science Foundation of China, etc., published two academic monographs, and participated in compiling three national planned textbooks. She was awarded the Second Prize for the 13th Philosophy and Social Sciences of Shanghai, and got an excellent report award at the 18th Annual Conference of the Society of Chinese Scholars on Exercise Physiology and Fitness (SCSEPF). She is the editorial board member of World Journal of Psychiatry and China Sports Science and Technology, the Lead Guest Editor/Guest Editor and invited reviewer of several SCIE/SSCI journals. She is also a member of the Youth Working Committee of China Sports Science Association, and the evaluation expert of the National Natural Science Foundation of China.

Dr. Xingang Liu, Professor

College of Plant Protection, Northwest A&F University, Yangling, China

Topic: Degradation and Risk of Fungicides in Water and Soil

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2022 5th International Conference on Agricultural Science and Biotechnology

May 26-28, 2022

Difenoconazole is a widely used triazole fungicide that has been frequently detected in the environment. Here, laboratory experiments were conducted to investigate the degradation kinetics, pathways, and toxicity of transformation products of difenoconazole. 12, 4 and 4 TPs generated by photolysis, hydrolysis and soil degradation were identified via UHPLC-QTOF/MS and the UNIFI software. Four intermediates TP295, TP295A, TP354A and TP387A reported for the first time were confirmed by purchase or synthesis of their standards, and they were further quantified using UHPLC-MS/MS in all tested samples. ECOSAR prediction and laboratory tests showed that the acute toxicities of four novel TPs on Brachydanio rerio, Daphnia magna and Selenastrum capricornutum are substantially lower than that of difenoconazole, while all the TPs except for TP277C were predicted chronically very toxic to fish, which may pose a potential threat to aquatic ecosystems. The results are important for elucidating the environmental fate of difenoconazole and assessing the environmental risks, and further providing guidance for scientific and reasonable use.

Dr. Xingang Liu got his Ph.D. degree in applied chemistry in 2006 from Tianjin University. He has been Assistant Professor from 2006 to 2008, Associate Professor from 2009 to 2013, and Professor from 2014 to now. He was a visiting scholar at the University of Minnesota from Sep. 2018 to Sep. 2019. He has mainly researched Chemical analysis of pesticide residue, the environmental behavior of pesticides, and pesticide pollution prevention and control, etc.

Dr. He Yan, Associate Professor

College of Plant Protection, Northwest A&F University, Yangling, China

Topic: Development and Application of New Plant Immune Inducers

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2022 5th International Conference on Agricultural Science and Biotechnology

May 26-28, 2022

Plant immune inducers have the ability to improve crop resistance and effectively prevent and control crop diseases, which meets the needs of the development of green agriculture. At present, several large agrochemical companies in the world have successively developed commercialized plant disease resistance inducers. The research and utilization of plant immune inducers have been recognized by relevant government management and promotion departments and farmers. Inducers play an increasingly important role in protecting the healthy growth of plants and ensuring food and ecological safety. With the support of the national key R & D Program (2017yfd0200900), we carried out the screening of plant disease resistance induced by biological sources, the separation of active components and the related research on the action mechanism. More than 300 kinds of plant extracts were screened successively to induce plant disease resistance activity, and the separation of active components and action mechanism of highly active plant extracts such as Coptis Chinensis, Chelidonium majus, Citrus reticulata, Phyllanthus Emblica, and Litsea cubeba were studied. A variety of elicitors with prominent activity in inducing plant disease resistance have been reported successively, such as alkaloids represented by berberine, chelidonine and reticine an (active component of inducing resistance in the citrus peel), phenolic acids represented by corilagin, sugars and proteins represented by gp1pro protein, leiwan polysaccharide and pullulan polysaccharide. Published 12 academic papers and applied for 9 invention patents of the people's Republic of China. These studies laid a foundation for the development of new plant immune inducers. This speech will discuss the latest important achievements in the discovery, mechanism of action and product development of leading compounds that induce plant immunity.

Dr. He Yan is currently an associate professor at Northwest University of Agriculture and Forestry Science and Technology. Dr. Yan received his doctorate from Kunming Institute of Botany, Chinese Academy of Sciences. In 2018, Dr. Yan becomes an associate professor in the school of plant protection, at Northwest University of Agriculture and Forestry Science and Technology. His research interests include the discovery and mechanism of action of natural products with antifungal activity and design, synthesis and biological activity of natural products based derivatives. Dr. Yan has written more than 30 peer-reviewed publications and 12 patents. Dr. Yan is a member of China Agricultural Chemistry Society, China insect society and China plant protection society. She is an active commentator in many journals, books, and conferences. Dr. Yan was invited to deliver more than 10 speeches at domestic and international conferences and has won many national and international awards from different professional associations and organizations.

Dr. Changhe Yu

Tuina and Pain Management Department, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China

Topic: Development of Core Outcomes and Core Measures Sets of Low Back Pain in China

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2022 6th International Conference on Public Health and Medical Sciences

May 26-28, 2022

Background and purpose: Due to the heterogeneity of outcomes or measures reported in clinical trials of low back pain, meta-analyses are hardly conducted for evidence. We aimed to develop a core outcome set (COS) and core measures set (CMS) of chronic low back pain (CBP) for all clinical studies. Methods: The CBP clinical research outcomes and measurement tools lists were established through a systematic review of randomized and observational clinical trials in recent 5 years, a synthesis meta of qualitative studies on the experience or outcome of CBP patients, and interviews of clinicians and CBP patients. And then two rounds of Delphi surveys were held among multi-stakeholder representatives to select the important outcomes. The COS-CBP and CMS-CBP were established by expert and patient consensus meetings with a nominal group method. Result: A total of 57 outcomes and 348 measurement tools were pooled. The Delphi surveys selected 10 important outcomes. The consensus was met that the COS-CBP and CMS-CBP were constructed: Pain or Discomfort (Numerical Rating Scale-Pain, NRS-P and Visual Analogue Scale/Score-Pain, VAS-P), Exercise Function (Functional Rating Index, FRI), Daily Activity (Activities day Live, ADL), Lumbar Dysfunction (the Oswestry Disability Index, ODI), Impact on Quality of Life (12-Short Item Survey Form, SF-12), and safety outcomes (self-reporting, no recommended measurement tools). The corresponding measurement time frames included baseline, immediately after treatment course and follow-up of 1 week, 2 weeks, 4 weeks and 8 weeks after treatment. Conclusion: The COS-CBP and CMS-CBP were determined by patients, physicians and other multi-stakeholder, and will be considered and used as outcomes and measurements in CBP trials, properties of measurements are warranted for further validation.

Dr. Changhe Yu is currently a doctor and researcher at Tuina and the Pain Management Department, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China. He received a Master's degree in TCM internal medicine from Liaoning University of Chinese medicine in 2013, and a Ph.D. degree in Acupuncture and Tuina from the China Academy of Chinese Medical Sciences in 2016. He is vice chairman of the international society of Complementary and alternative medicine research, and a Youth member of many branches of the China Association of Traditional Chinese Medicine. His research interests include outcome measures, patient-reported outcomes, clinical trials, guideline development and methodology on qualitative and mixed methods. Over the past 5 years, Dr. Yu has authored more than 50 peer-reviewed publications, and led one National Natural Science Foundation of China and one Beijing Health Development Scientific Research Project. He has given more than 20 invited speeches at national or international conferences.

Dr. Dan Niu

Department of Nephrology, First Affiliated Hospital, College of Medicine, Xi’an Jiaotong University, Xi’an, China

Topic: Anticoagulation in Patients with Advanced Chronic Kidney Disease

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2022 6th International Conference on Public Health and Medical Sciences

May 26-28, 2022

The risk of thrombosis and hemorrhage in Patients with advanced CKD increases with worsening proteinuria and a progressive decline in GFR. For patients who are receiving dialysis, disorders of hemostasis and the use of intravenous anticoagulation during dialysis further compound the risks of bleeding. Although oral anticoagulants have been proven beneficial in reducing thrombotic risks in the general population for indications such as VTEs and AF, their benefit in patients with advanced kidney disease and receiving dialysis is unclear. Unfortunately, available data show that they confer a high risk of major and minor bleeding and life-threatening vascular calcification, and this varies on the basis of the type of oral anticoagulant show that they confer a high risk of major and minor bleeding and life-threatening vascular calcification, and this varies the basis of the type of oral anticoagulant. Therefore, at present, the important question of doing dialysis patients need oral anticoagulation to prevent thrombosis remains unanswered. Because of the lack of large clinical trials to guide our decision-making, it is prudent to consider the recommendations from guidelines and weigh and discuss a given individual’s risks of bleeding and thrombosis with the patient. We have provided some principles to consider and guide therapeutic decision-making, but ultimately, the decision to anticoagulate and which anticoagulant to use needs to be a shared decision between the patient, their cardiologist, and their nephrologist. Randomized controlled trials comparing DOACs with warfarin and no anticoagulation are required to help physicians and patients decide whom to anticoagulate and with which anticoagulant.

Dr. Dan Niu is currently a deputy chief physician at the Department of Nephrology, First Affiliated Hospital, College of Medicine, Xi’an Jiaotong University, China. She received her Ph.D. degree from the Xi’an Jiaotong University, China in 2016. From 1997 to 2003, she was a resident doctor for the Department of Nephrology, First Affiliated Hospital, College of Medicine, Xi’an Jiaotong University. In December 2003, Dr. Niu became an Attending doctor at her hospital. In December 2017, she became Deputy Chief Physician at her hospital. Her research interests include Glomerular disease, Hereditary nephropathy and CKD-MBD. Over the past five years, Dr. Niu has authored more than 7 peer-reviewed publications. Dr. Niu is a member of the Zhonghua Medicine Society of China and the standing committee of the Blood Purification Branch of the Health Protection Society of Shanxi Province, China.

Dr. Lulu Wang, Professor

Biomedical Device Innovation Center, Shenzhen Technology University, Shenzhen, China

Topic: Microwave Breast Imaging: Opportunities and Challenges

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2022 6th International Conference on Public Health and Medical Sciences

May 26-28, 2022

Early-stage cancer detection could reduce breast cancer death rates significantly in the long term. The most critical point for best prognosis is to identify early-stage cancer cells. Investigators have studied many breast diagnostic approaches, including mammography, magnetic resonance imaging, ultrasound, computerized tomography, positron emission tomography and biopsy. However, these techniques have some limitations such as being expensive, time consuming and not suitable for young women. Developing a high-sensitive and rapid early-stage breast cancer diagnostic method is urgent. In recent years, investigators have paid their attention to the development of biosensors to detect breast cancer using different biomarkers. Apart from biosensors and biomarkers, microwave imaging techniques have also been intensely studied as a promising diagnostic tool for rapid and cost-effective early-stage breast cancer detection. This speech will talk about the recent important achievements in breast screening methods (particularly on microwave imaging) and breast biomarkers along with biosensors for rapidly diagnosing breast cancer.

Dr. Lulu Wang is currently a Distinguished Professor at Shenzhen Technology University, China. She received the M.E. (First class Hons.) and Ph.D. degrees from the Auckland University of Technology, New Zealand, in 2009 and 2013, respectively. From 2013 to 2015, she was a Research Fellow with the Institute of Biomedical Technologies, Auckland University of Technology, New Zealand. In June 2015, Dr. Wang became an Associate Professor of biomedical engineering with the Hefei University of Technology. In June 2019, she became Distinguished Professor of Biomedical Engineering at Shenzhen Technology University. Her research interests include medical devices, electromagnetic sensing and imaging, and computational mechanics. Over the past five years, Dr. Wang has authored more than 70 peer-reviewed publications, 6 books, 7 book chapters, and 11 issued patents. Dr. Wang is a member of ASME, IEEE, MRSNZ, AAAS, PSNZ, and IPENZ. She is an active reviewer of numerous journals, books, and conferences. She has given more than 30 invited talks at national and international conferences. She has received multiple National and International Awards from various professional societies and organizations. She has been selected as the World's Top 2% Scientists 2021 (by Stanford University). She is an active topic/track organizer of several international conferences include ASME IMECE, ICCES.

Dr. Huifen Wang, Professor

Department of Business Administration, Jinan University, Guangzhou, China

Topic: Six-Flow Matching Model: A Comprehensive Tool for Business Transformation Practice

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2022 6th International Conference on Economics, Finance and Management Science

May 26-28, 2022

Digital transformation has always been a hot topic in the field of information systems and strategic management. Although various theories have been used in the study of enterprise digital transformation, there is still a lack of a method that can open the black box of digital transformation and its internal mechanism. Based on Bourdieu's micro-practice logic, this study introduces the six-flow matching theory to describe various activities within an enterprise as information flow, material flow, capital flow, power flow, responsibility flow and interest flow, and compare these flows with the flow of information. I Ching hexagrams are combined to obtain dynamic tools to capture the internal mechanism of the digital transformation of enterprises. By combining this theory with Western management philosophy and Eastern I Ching hexagrams, this study will illustrate the logic of hexagram changes to readers through the presentation of a case, and is expected to contribute to the research and practice of enterprise digital transformation.

Dr. Huifen Wang, graduated from the Renmin University of China, is a professor at the School of Management of Jinan University and deputy director of ERP research center of Jinan University. Her research interests include enterprise management, management science and engineering. In recent years, she is mainly engaged in the research of symbolic system and symbolic value of information system. Besides, she has published dozens of papers in domestic and foreign journals and presided over a number of national and provincial key topics.

Dr. Hengguo Zhang, Associate Researcher

Center for Economic Research, Shandong University, Jinan, China

Topic: News-driven Price Discovery: Theory and Evidence

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2022 6th International Conference on Economics, Finance and Management Science

May 26-28, 2022

As early as 2005, China participated in the European and global carbon markets by developing certified emission reduction (CER) and voluntary emission reduction (VER) projects as a seller of emission reductions from carbon. This paper proposes a news-driven dynamic microstructure pricing model about the carbon emission market, in which the price response to news and liquidity changes with each transaction. When homogenous or closely connected assets are traded in multiple markets, different transaction prices can be seen as sharing the same news-driven components, and there may be a cointegration relationship. Using the GARCH-BEKK model, the volatility spillover is estimated, and a dynamic volatility network is constructed. Connectivity analysis shows that the spatial connection of volatility spillover is time-varying, with multiple obvious superposition phenomena. The factor analysis method is used to obtain the central comprehensive index of price contagion intensity and price acceptance intensity. In general, the futures market has a greater influence than the carbon emission market, and the carbon emission market is more sensitive to volatility than are other markets. Finally, using a spatial vector autoregressive model to analyze the impulse response of carbon news to the carbon emission market, it is found that during the pilot phase of the carbon emission market, carbon news can increase the market transaction price and trading volume. In other stages, carbon news increases the transaction price but reduces the trading volume.

Dr. Hengguo Zhang received the B.S. and M.S. degrees from Sun Yat-sen University and a Ph.D. degree from the Ocean University of China. He was a postdoctoral at Fudan University. Since 2019, he has been a teacher at Shandong University. He has published nearly 10 SSCI and SCI papers in internationally renowned journals. The research direction is the intersection of big data and economics and finance.

Dr. Hui An, Professor

School of Economics and Management, Dalian University of Technology, Dalian, China

Topic: The Study of the Impact of the Global Financial Cycle on China's Cross-Border Capital Flows

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2022 6th International Conference on Economics, Finance and Management Science

May 26-28, 2022

My speech focuses on my new paper which is about the Global Financial Crisis and China’s Cross-border capital flow. Based on the quarterly data of the G7 and the BRICS countries from 2000 to 2020, this paper selects variables according to the classic classical global financial cycle( GFC) theory to construct a dynamic factor model to measure the global financial cycle, and identify the finding based on the perspective of core countries’ monetary policy conversion. Then, this paper selects variables based on the push-pull framework of capital flows, and uses the MSVAR model to analyze the nonlinear impact of GFC on China's gross cross-border capital flows, as well as the heterogeneity between gross capital inflows and outflows. The results show that the transformation of the monetary policy of the core countries leads to the global financial cycle. When the conventional monetary policy is transformed into the unconventional, the global financial cycle is in an expansion period, and when the unconventional is transformed into the conventional, the GFC begins a contraction period. In general, the GFC has a positive impact on China's gross capital flows, but the impact is heterogeneous: the impact of the contraction period is greater than that of the expansion period, and the impact on the gross capital inflows is greater than the impact on the gross capital outflows.

Dr. Hui An is a professor at the School of Economics and Management, Dalian University of Technology, and also a doctoral tutor. She is currently a member of the 13th National People's Congress of Liaoning Province, a member of the 11th Central Committee of the Democratic Construction Association, a deputy chairman of the 14th Dalian Municipal Committee of the Democratic Construction Association, and had been a visiting scholar at the London School of Economics (LSE) and Fordham University in the United States. Her main research fields are financial crisis theory and financial risk management. She has published more than 10 Works and 100 academic papers in core journals both in English and Chinese journals. She has presided over and participated in more than 30 national and ministerial-level projects. The research achievements have received more than 10 provincial awards and 30 central and provincial and municipal leadership approvals. She is honored as the leading talent project of philosophy and social sciences in the "Yingliao Talent Project" of Liaoning Province and the Liaoning Province Ten Million Talent Project.

Dr. Zhenghe John Wang, Professor

Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, USA

Topic: Targeting PIK3CA Mutant Colorectal Cancers: Translating Bench Discoveries into Clinical Trials

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2022 5th International Conference on Chemical and Biological Engineering

May 26-28, 2022

Background: PIK3CA, encoding the p110α catalytic subunit of PI3K, is the most frequent mutated oncogene in human cancers. Although p110α inhibitor alpelisib in combination with fulvestrant has been approved to treat PIK3CA-mutant breast cancer patients, clinical trial results of alpelisib in other tumor types have been disappointing. Purpose: Dr. Wang’s lab aims to develop new treatment strategies for PIK3CA mutant colorectal cancer patients. Method: Dr. Wang’s group uses molecular biology approaches to uncover novel mechanisms by which PIK3CA mutations drive colorectal tumor development. His laboratory uses the knowledge gained from these mechanisms to design new therapies to be first tested in animal models. Treatments that induce tumor regression in the animal modes will be advanced into clinical trials in human patients. Results: First, his laboratory discovered that PIK3CA mutations render CRC dependent on glutamine. He translated this discovery into phase I and II clinical trials treating PIK3CA mutant CRC patients with a glutaminase inhibitor. The clinical trials have shown promising results. Second, he found that a subset of PIK3CA mutations stabilize EZH1/2 proteins, which prompted a clinical trial of a combination of p110 and EZH inhibitors that will be open soon.

Dr. Zhenghe John Wang is currently Dale H. Cowan M.D. – Ruth Goodman Blum Professor of Cancer Research and vice chair for faculty development in the Department of Genetics and Genome Sciences at Case Western Reserve University (CWRU) School of Medicine. He is also a co-leader of the Cancer Genome and Epigenome Program at Case Comprehensive Cancer Center. He obtained his PhD from the University of Virginia working on yeast genetics and trained as a postdoctoral fellow in Dr. Bert Vogelstein’s laboratory at Johns Hopkins University on cancer genetics. Since he became independent in August 2005 at Case Western Reserve University, he has developed a well-funded, internationally recognized research program in colorectal cancer with publications in high profile journals, including Science, Science Signaling, Cancer Cell, Nature Methods, Nature Communications, PNAS, Cancer Research, and J Natl Cancer Inst . He was named a co-leader of the Dream Team. He co-discovered PIK3CA oncogenic mutations in human cancer. His laboratory found that PIK3CA mutations render colorectal cancer dependent on glutamine. He has successfully translated these discoveries into active phase I/II clinical trials and another clinical trial that is expected to open late this year.

Dr. Aihong Yang, Associate Professor

School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine

Topic: Study on the Structural Modification, Crystal Culture and Multi-target Anti-Alzheimer's Disease Activities Based on Traditional Chinese Medicine Active Compounds

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2022 5th International Conference on Chemical and Biological Engineering

May 26-28, 2022

With the aging of the population intensifying, finding a cure or reasonable treatment for Alzheimer' disease (AD) has become an urgent priority. In view of the characteristics of multiple pathogenic factors of AD, the multi-target ligand strategy was adopted to screen the anti-AD active components, such as flavonoids, xanthone and anthraquinones, from the classical Traditional Chinese medicines for the treatment of AD, such as polygala tenuifolia, fructus Alpiniae oxyphyllae and Radix Ophiopogonis etc., and reasonable structural modification was carried out to make them have multi-target anti-AD activities. Multiple series derivatives of traditional Chinese medicine active compounds were designed and synthesized, and the full characterization of their structures and multi-target anti-AD activities tests were carried out. The results showed that the screened active compounds could be used as good lead compounds for the development of promising anti-AD drugs.

Dr. Aihong Yang, graduated from Department of Chemistry, School of Science, Tianjin University, is now working at Tianjin University of Traditional Chinese Medicine. The research focus of the group is screening and optimal design of active compounds in traditional Chinese medicine based on Coordination Chemistry theory, so as to achieve pharmacological effects such as effect-enhancing and toxicity-reducing or activity improvement. Meanwhile, crystal culture and structure analysis are carried out to facilitate more reliable structure-activity relationship analysis. The aim of this group is to provide theoretical and experimental support for the development and utilization of the active ingredients of Traditional Chinese medicine by using the theoretical knowledge of chemistry. Dr. Yang has completed 3 national Natural Science Foundation of China, and provincial and ministerial level projects and participated in a number of projects. She has published more than 20 SCI papers as the first author or corresponding author.

Dr. Ronghai He, Professor

School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China

Topic: Ultrasonic Enhanced Food Fermentation: Effects, Techniques and Equipment

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2022 5th International Conference on Chemical and Biological Engineering

May 26-28, 2022

At present, ultrasound has been widely used in many aspects. Since the 1990s, studies have shown that appropriate ultrasonic treatment can promote the process of fermentation. However, there are still some problems in the research in this field, such as the unstable effect of ultrasound, the unclear mechanism and the lack of special ultrasonic-assisted fermentation equipment. Therefore, the research team at Jiangsu University developed a series of ultrasonic-assisted fermentation equipments, and studied the promotion technology of ultrasonic radiation on the fermentation process of Saccharomyces cerevisiae, Candida tropicalis, Bacillus subtilis, Lactobacillus paracasei, Aspergillus niger, and so on. Through a preliminary mechanism study, it was found that low-power ultrasound could change microbial cell membrane permeability, increase intracellular calcium concentration, and increase the expression of genes related to the cell cycle. The application of this technology is expected to greatly improve fermentation efficiency and has broad industrial application prospects.

Dr. Ronghai He is a professor, doctorate supervisor, executive vice dean of the Institute of Food Physical Processing, Jiangsu University, member of Food Equipment and Intelligent Manufacturing Branch of Chinese Institute of Food Science and Technology (CIFST). Dr. He mainly engages in the research of food physical processing technology and intelligent equipment. The main research directions are as follows: (1) physical strengthening technology and equipment on biological processing process, such as ultrasonic and low-frequency magnetic field technologies. (2) The design and manufacture of large-scale solid-state fermentation equipment. (3) The intelligent controlling technologies of bioengineering equipment. In recent years, he has presided more than 20 government-funded scientific research projects. He has won 4 first-class prizes, 4 second-class prizes at provincial and ministerial levels and 1 excellent prize of China Patent Award. He has published more than 170 papers, and more than 20 patents of him have been granted.