OBJECTIVE:To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine(TCM),and further support the registration of new TCM drugs.METHODS:Generalized Boosted Models ...OBJECTIVE:To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine(TCM),and further support the registration of new TCM drugs.METHODS:Generalized Boosted Models and XGBoost were employed to construct a classification model to identify the bad prognosis factors in resistant hypertension(RH)patients.Furthermore,we used association analysis to explore the rules of"symptomsyndrome"and"symptom-herb"for the major influencing factors,in order to summarize prescription pattern and applicable patients of TCM.RESULTS:Patients with major adverse cardiac events mostly have complex symptoms of phlegm,stasis,deficiency and fire intermingled with each other,and finally summarized the human experience of using Chinese herbal medicine to precisely intervene in some symptoms of RH patients on the basis of conventional Western medical treatment.CONCLUSIONS:Machine learning algorithms can make full use of human use experience and evidence to save clinical trial resources and accelerate the development of TCM varieties.展开更多
The future of a country and society belongs to children and youngsters. As a primary school teacher, I keenly feel the need to educate our children in human rights, so that they will develop in an all-round way, moral...The future of a country and society belongs to children and youngsters. As a primary school teacher, I keenly feel the need to educate our children in human rights, so that they will develop in an all-round way, morally, intellectually and physically. Over the past few yeas, I have tried to incorporate education in human rights into activities in展开更多
From Nov. 5 to 6, 2013, the China Society for Human Rights Studies （CSHRS）held the Fifth National Meeting for the Exchange of Work Experience Among Human Rights Research Institutions at Wuhan University. More than 1...From Nov. 5 to 6, 2013, the China Society for Human Rights Studies （CSHRS）held the Fifth National Meeting for the Exchange of Work Experience Among Human Rights Research Institutions at Wuhan University. More than 100 experts and scholars, focusing on empirical human rights studies and their contribution to building a society based on the rule of law, shared their work experience and discussed effective strategies. CSHRS President Luo Haocai, who served as vice chairman of the 10th National Committee of the Chinese People＇s Political Consultative Conference,展开更多
1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our ...1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.展开更多
The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined env...The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined environmental on human physiology factors, including temperature, humidity, noise, pressure,toxic and harmful gases in terms of environmental characteristics in underground mines and an artificial intelligence system for simulation of the environment in a confined space of deep mines. Our results show that the systolic pressure, diastolic pressure, mean pressure, heart rate, respiratory rate, typing test speed and memory level percentage are negatively correlated with temperature value, and positively correlated with humidity value; the human temperature and weight are positively correlated with temperature value, and negatively correlated with humidity value. This research lays the foundation for the study of interaction between the deep confined space environment and safety behavior.展开更多
Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual a...Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like ＂intelligence＂ remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents＇ intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.展开更多
Phase transitions are being used increasingly to probe the collective behaviors of social human systems. In this study, we propose a different way of investigating such transitions in a human system by establishing a ...Phase transitions are being used increasingly to probe the collective behaviors of social human systems. In this study, we propose a different way of investigating such transitions in a human system by establishing a two-sided minority game model. A new type of agents who can actively transfer resources are added to our artificial bipartite resource-allocation market. The degree of deviation from equilibria is characterized by the entropy-like quantity of market complexity. Under different threshold values, Qth, two phases are found by calculating the exponents of the associated power spectra. For large values of Qth, the general motion of strategies for the agents is relatively periodic whereas for low values of Qth, the motion becomes chaotic. The transition occurs abruptly at a critical value of Qty. Our simulation results were also tested based on human experiments. The results of this study suggest that a chaotic-periodic transition related to the quantity of market information should exist in most bipartite markets, thereby allowing better control of such a transi- tion and providing a better understanding of the endogenous emergence of business cycles from the perspective of quantum mechanics.展开更多
基金the China Academy of Chinese Medical Sciences,Independent Topic Project:Application Research on Named Entity Recognition and Relationship Extraction of Case Records of Renowned Traditional Chinese Medicine Practitioners(No.Z0643).China Academy of Chinese Medical Sciences,Independent Topic Project:Analysis of Research Directions and Scope in the Discipline of Traditional Chinese Medicine Statistics(No.Z0723)China Academy of Chinese Medical Sciences,Science and Technology Innovation Project:Real-world Effectiveness Evaluation of Traditional Chinese Medicine and Translational Application Research on Causal Inference(No.CI2021A04706).China Academy of Chinese Medical Sciences,Science and Technology Innovation Project:Research on Causal Inference Methodology for Real-world Clinical Evaluation in Traditional Chinese Medicine(No.CI2021B003)National Key Research and Development Program of China:Integrated Evaluation Model and Key Technologies of"Syndrome-Disease-Prescription"for Traditional Chinese Medicine in the Prevention and Treatment of Coronary Heart Disease—Statistical Data Analysis and Data Mining(No.2017YFC1700406-2)。
文摘OBJECTIVE:To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine(TCM),and further support the registration of new TCM drugs.METHODS:Generalized Boosted Models and XGBoost were employed to construct a classification model to identify the bad prognosis factors in resistant hypertension(RH)patients.Furthermore,we used association analysis to explore the rules of"symptomsyndrome"and"symptom-herb"for the major influencing factors,in order to summarize prescription pattern and applicable patients of TCM.RESULTS:Patients with major adverse cardiac events mostly have complex symptoms of phlegm,stasis,deficiency and fire intermingled with each other,and finally summarized the human experience of using Chinese herbal medicine to precisely intervene in some symptoms of RH patients on the basis of conventional Western medical treatment.CONCLUSIONS:Machine learning algorithms can make full use of human use experience and evidence to save clinical trial resources and accelerate the development of TCM varieties.
文摘The future of a country and society belongs to children and youngsters. As a primary school teacher, I keenly feel the need to educate our children in human rights, so that they will develop in an all-round way, morally, intellectually and physically. Over the past few yeas, I have tried to incorporate education in human rights into activities in
文摘From Nov. 5 to 6, 2013, the China Society for Human Rights Studies （CSHRS）held the Fifth National Meeting for the Exchange of Work Experience Among Human Rights Research Institutions at Wuhan University. More than 100 experts and scholars, focusing on empirical human rights studies and their contribution to building a society based on the rule of law, shared their work experience and discussed effective strategies. CSHRS President Luo Haocai, who served as vice chairman of the 10th National Committee of the Chinese People＇s Political Consultative Conference,
文摘1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.
基金funded by ‘‘a group of four’’ Safety Science and Technology Project of State Production Safety Supervision Administration of China (No. 20130801)
文摘The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined environmental on human physiology factors, including temperature, humidity, noise, pressure,toxic and harmful gases in terms of environmental characteristics in underground mines and an artificial intelligence system for simulation of the environment in a confined space of deep mines. Our results show that the systolic pressure, diastolic pressure, mean pressure, heart rate, respiratory rate, typing test speed and memory level percentage are negatively correlated with temperature value, and positively correlated with humidity value; the human temperature and weight are positively correlated with temperature value, and negatively correlated with humidity value. This research lays the foundation for the study of interaction between the deep confined space environment and safety behavior.
文摘Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like ＂intelligence＂ remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents＇ intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.
基金We thank Dr. W. Wang for fruitful discussions. We acknowledge financial support from the National Natural Science Foundation of China under Grant No. 11222544, the Fok Ying Tung Education Foundation under Grant No. 131008, and the Program for New Century Excellent Talents in University （NCET-12-0121）.
文摘Phase transitions are being used increasingly to probe the collective behaviors of social human systems. In this study, we propose a different way of investigating such transitions in a human system by establishing a two-sided minority game model. A new type of agents who can actively transfer resources are added to our artificial bipartite resource-allocation market. The degree of deviation from equilibria is characterized by the entropy-like quantity of market complexity. Under different threshold values, Qth, two phases are found by calculating the exponents of the associated power spectra. For large values of Qth, the general motion of strategies for the agents is relatively periodic whereas for low values of Qth, the motion becomes chaotic. The transition occurs abruptly at a critical value of Qty. Our simulation results were also tested based on human experiments. The results of this study suggest that a chaotic-periodic transition related to the quantity of market information should exist in most bipartite markets, thereby allowing better control of such a transi- tion and providing a better understanding of the endogenous emergence of business cycles from the perspective of quantum mechanics.
