Subject Code:C14 With the support by the National Natural Science Foundation of China,the research team led by Prof.He Zuhua(何祖华)at the National Key Laboratory of Plant Molecular Genetics and National Center of Pla...Subject Code:C14 With the support by the National Natural Science Foundation of China,the research team led by Prof.He Zuhua(何祖华)at the National Key Laboratory of Plant Molecular Genetics and National Center of Plant Gene Research,Shanghai Institute of Plant Physiology&Ecology,Chinese Academy of Sciences,展开更多
Seventy-two patients of chronic obstructive pulmonary disease (COPD) of Qi deficiency syn-drome with abnormal immune indices were treated with Yiqi Mianyi Granule (YQMYG) and the efficacy wascompared with that of 30 c...Seventy-two patients of chronic obstructive pulmonary disease (COPD) of Qi deficiency syn-drome with abnormal immune indices were treated with Yiqi Mianyi Granule (YQMYG) and the efficacy wascompared with that of 30 cases treated with Zhenqi fuzheng Granule (ZQFZG) for control. Results showedthat the markedly effective rate of symptomatic improvement ot Qi deficiency in YQMYG group was 65. 3%,the total effective rate 93. 1 % . 88. 6% of the immune indices lower than normal were corrected and 43. 7%ot them were normalized, while for indices that were higher than normal the rate were 78. 2 % and 52 . 9% re-spectively. These results suggested that YQMYG could improve symptom of Qi Deficiency markedly,strengthen cellutar immunity and regulate immune dysfunction. its therapeutic efficacy was obvfously superiorto ZQFZG ( P < 0 . 05 ).展开更多
Gene regulatory network (GRN) inference from gene expression data is asignificant approach to understanding aspects of the biological system.Compared with generalized correlation-based methods, causality-inspiredones ...Gene regulatory network (GRN) inference from gene expression data is asignificant approach to understanding aspects of the biological system.Compared with generalized correlation-based methods, causality-inspiredones seem more rational to infer regulatory relationships. We proposeGRINCD, a novel GRN inference framework empowered by graph representationlearning and causal asymmetric learning, considering both linearand non-linear regulatory relationships. First, high-quality representation ofeach gene is generated using graph neural network. Then, we apply theadditive noise model to predict the causal regulation of each regulator-targetpair. Additionally, we design two channels and finally assemble them forrobust prediction. Through comprehensive comparisons of our frameworkwith state-of-the-art methods based on different principles on numerousdatasets of diverse types and scales, the experimental results show that ourframework achieves superior or comparable performance under variousevaluation metrics. Our work provides a new clue for constructing GRNs,and our proposed framework GRINCD also shows potential in identifyingkey factors affecting cancerdevelopment.展开更多
Introduction:Biodiversity and biodiversity-based ecosystems services are intrinsically dependent on the climate.During the twentieth century,climate change has posed major threats to biodiversity in Africa,and impacts...Introduction:Biodiversity and biodiversity-based ecosystems services are intrinsically dependent on the climate.During the twentieth century,climate change has posed major threats to biodiversity in Africa,and impacts are expected to increase as climate change continues and perhaps even accelerates.Outcomes:Our review shows that the multiple components of climate change are projected to affect all levels of biodiversity,from genes over species to biome level.Loss of biodiversity as a result of climate change can alter the structures and functions of African ecological systems.As a result,the provision of biodiversity-based ecosystem services and the wellbeing of people that rely on these services are being modified.Of particular concerns are“tipping points”where the exceedance of ecosystem thresholds will possibly lead to irreversible shifts of the structure of ecosystems and their services.In recent years,climate prediction models have portended continued warming and more frequent extreme weather events across the region.Such weather-related disturbances such as El Niño will place a premium on biodiversity and biodiversity-based ecosystem services that people rely on.Conclusion:As biodiversity underlies all goods and services provided by ecosystems that are crucial for human survival and well-being,this paper synthesizes and discusses observed and anticipated impacts of climate change on biodiversity and biodiversity-based ecosystem service provision and livelihoods,and what strategies might be employed to decrease current and future risks on the well-being of human in Africa.展开更多
文摘Subject Code:C14 With the support by the National Natural Science Foundation of China,the research team led by Prof.He Zuhua(何祖华)at the National Key Laboratory of Plant Molecular Genetics and National Center of Plant Gene Research,Shanghai Institute of Plant Physiology&Ecology,Chinese Academy of Sciences,
文摘Seventy-two patients of chronic obstructive pulmonary disease (COPD) of Qi deficiency syn-drome with abnormal immune indices were treated with Yiqi Mianyi Granule (YQMYG) and the efficacy wascompared with that of 30 cases treated with Zhenqi fuzheng Granule (ZQFZG) for control. Results showedthat the markedly effective rate of symptomatic improvement ot Qi deficiency in YQMYG group was 65. 3%,the total effective rate 93. 1 % . 88. 6% of the immune indices lower than normal were corrected and 43. 7%ot them were normalized, while for indices that were higher than normal the rate were 78. 2 % and 52 . 9% re-spectively. These results suggested that YQMYG could improve symptom of Qi Deficiency markedly,strengthen cellutar immunity and regulate immune dysfunction. its therapeutic efficacy was obvfously superiorto ZQFZG ( P < 0 . 05 ).
文摘Gene regulatory network (GRN) inference from gene expression data is asignificant approach to understanding aspects of the biological system.Compared with generalized correlation-based methods, causality-inspiredones seem more rational to infer regulatory relationships. We proposeGRINCD, a novel GRN inference framework empowered by graph representationlearning and causal asymmetric learning, considering both linearand non-linear regulatory relationships. First, high-quality representation ofeach gene is generated using graph neural network. Then, we apply theadditive noise model to predict the causal regulation of each regulator-targetpair. Additionally, we design two channels and finally assemble them forrobust prediction. Through comprehensive comparisons of our frameworkwith state-of-the-art methods based on different principles on numerousdatasets of diverse types and scales, the experimental results show that ourframework achieves superior or comparable performance under variousevaluation metrics. Our work provides a new clue for constructing GRNs,and our proposed framework GRINCD also shows potential in identifyingkey factors affecting cancerdevelopment.
文摘Introduction:Biodiversity and biodiversity-based ecosystems services are intrinsically dependent on the climate.During the twentieth century,climate change has posed major threats to biodiversity in Africa,and impacts are expected to increase as climate change continues and perhaps even accelerates.Outcomes:Our review shows that the multiple components of climate change are projected to affect all levels of biodiversity,from genes over species to biome level.Loss of biodiversity as a result of climate change can alter the structures and functions of African ecological systems.As a result,the provision of biodiversity-based ecosystem services and the wellbeing of people that rely on these services are being modified.Of particular concerns are“tipping points”where the exceedance of ecosystem thresholds will possibly lead to irreversible shifts of the structure of ecosystems and their services.In recent years,climate prediction models have portended continued warming and more frequent extreme weather events across the region.Such weather-related disturbances such as El Niño will place a premium on biodiversity and biodiversity-based ecosystem services that people rely on.Conclusion:As biodiversity underlies all goods and services provided by ecosystems that are crucial for human survival and well-being,this paper synthesizes and discusses observed and anticipated impacts of climate change on biodiversity and biodiversity-based ecosystem service provision and livelihoods,and what strategies might be employed to decrease current and future risks on the well-being of human in Africa.
