Based on the author’s experience in the siting of nuclear power plants,some important points and methods for investigation of capable fault and the identification of diffuse seismicity are discussed in the paper.
Since the 1980s, a whole class of economic capable persons has emerged along with China＇s rural economic development. This class actively participates in grassroots politics and even leads local village governance, c...Since the 1980s, a whole class of economic capable persons has emerged along with China＇s rural economic development. This class actively participates in grassroots politics and even leads local village governance, creating a unique, novel pattern of village governance in China. This pattern has far-reaching implications for the use of power in China＇s villages and for the management of grassroots communities. First, it represents democracy-based authoritarian politics （democracy-authority politics） and a transition away from traditional rural village ＂squireship＂ governance. Second, governance by economic capable persons surpasses the unitary, centralized People＇s Commune governance, replacing it with a pluralistic model that utilizes grass-roots community management. Third, the self-governing pattern that is emerging, wherein the general public participates in a government that is dominated by an economic capable persons, demonstrates a modification of ideal villager self-governance and also a pragmatic invention based on local political realities. In the long run, this new class emergence has the potential to evolve into a new type of localized politics; with further economic differentiation in rural areas, village governance will become increasingly diversified, where governing by capable persons will be just one feasible option. This pattern is already becoming common in many rural areas, especially those where the nonagricultural economy is relatively developed展开更多
Keratinous wastes could be degraded by some microorganisms in nature. Native human foot skin （NHFS） was used as sole nitrogen source to screen microorganisms with keratin-degrading capability. From approximately 200...Keratinous wastes could be degraded by some microorganisms in nature. Native human foot skin （NHFS） was used as sole nitrogen source to screen microorganisms with keratin-degrading capability. From approximately 200 strains, a strain of Streptomyces sp. strain No. 16 was found to possess the strongest keratinolytic activity, and the total activity in the culture was 110 KU/ml with specific activity of 2870 KU/mg protein （KU： keratinase unit）. Substrate specificity test indicated that the crude keratinase could degrade keratin azure, human hair, cock feathers and collagen. The optimal pH of the crude keratinase ranged from 7.5 to 10 and the temperature ranged from 40℃ to 55℃. Metal chelating agent ethylenediamine tetraacetic acid obviously stimulated the keratinolytic activity but suppressed the proteolytic activity. To our knowledge, this is the first report on specific induction of keratinases by NHFS from an actinomycete. Moreover, excellent characteristics of its crude keratinase may lead to the potential application in waste treatment and recovery, poultry and leather industry, medicine, and cosmetic development.展开更多
CONG Zhongxiao, 36, holds the postof vice-president of China Women’sCollege. For years she has lectured on theeducation of preschool mathematics,research methods and statistics forkindergarten and nursery schools.Reg...CONG Zhongxiao, 36, holds the postof vice-president of China Women’sCollege. For years she has lectured on theeducation of preschool mathematics,research methods and statistics forkindergarten and nursery schools.Regarding teaching as an art, she appliesherself to it with great concentration andhas turned the teaching of "conclusion-result" into "process-result." The change iswell received by students for it linkstheory with practice and greatly stimulatesa thirst for knowledge in their展开更多
Brucellosis is a zoonotic infectious and allergic disease caused by Brucella bacteria.Brucellosis occurs worldwide and has had a huge economic impact on the livestock industry in many countries and regions.It has beco...Brucellosis is a zoonotic infectious and allergic disease caused by Brucella bacteria.Brucellosis occurs worldwide and has had a huge economic impact on the livestock industry in many countries and regions.It has become a major public health problem.Brucella is an endoparasitic,non-motile Gram-negative bacterium capable of surviving within a diverse range of domestic animal hosts.展开更多
The landscape of human resource management within large enterprises necessitates efficient and unbiased recruitment practices to ensure organisational effectiveness and foster diversity(Ayoko&Fujimoto,2023).Tradit...The landscape of human resource management within large enterprises necessitates efficient and unbiased recruitment practices to ensure organisational effectiveness and foster diversity(Ayoko&Fujimoto,2023).Traditional hiring processes often create biases,which cause additional challenges in achieving proper objectives(Bogen,2021).According to Workable(workable.com),the average time to fill a job requisition is 41 days(Howden,2023).This paper proposes a framework for the development and implementation of an Artificially Capable Intelligent(ACI)-powered Human Resource(HR)Assistant for large enterprises(possibly more than 300 employees)to eliminate these unnecessary challenges caused by biases in hiring practices,therefore directly addressing fair and just participation in society and the world of work.The framework integrates ACI technologies,particularly candidate identification,to revolutionise HR practices.By leveraging ACI algorithms,the proposed hyper-realistic assistant aims to revolutionise the recruitment process.It will significantly reduce the average time to fill job requisitions.Moreover,the ACI-powered system is designed to mitigate biases inherent in traditional hiring practices,thus fostering a fair and inclusive environment for all candidates in the shortest possible time frame.This paper includes the key components and working processes of the ACI-powered HR Assistant framework.Through a comprehensive theoretical analysis,the paper investigates the system’s working process and how the framework aligns with the goal of promoting a fair and participatory environment in the world of work.Ultimately,the proposed framework represents a main step towards enhancing organisational effectiveness,fostering diversity,and advancing equitable recruitment practices in the futuristic workplace.展开更多
Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum engineering.Recent deep learning technique has been receiving more interest due to the g...Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum engineering.Recent deep learning technique has been receiving more interest due to the great potential to deal with pore pressure prediction.However,most of the traditional deep learning models are less efficient to address generalization problems.To fill this technical gap,in this work,we developed a new adaptive physics-informed deep learning model with high generalization capability to predict pore pressure values directly from seismic data.Specifically,the new model,named CGP-NN,consists of a novel parametric features extraction approach(1DCPP),a stacked multilayer gated recurrent model(multilayer GRU),and an adaptive physics-informed loss function.Through machine training,the developed model can automatically select the optimal physical model to constrain the results for each pore pressure prediction.The CGP-NN model has the best generalization when the physicsrelated metricλ=0.5.A hybrid approach combining Eaton and Bowers methods is also proposed to build machine-learnable labels for solving the problem of few labels.To validate the developed model and methodology,a case study on a complex reservoir in Tarim Basin was further performed to demonstrate the high accuracy on the pore pressure prediction of new wells along with the strong generalization ability.The adaptive physics-informed deep learning approach presented here has potential application in the prediction of pore pressures coupled with multiple genesis mechanisms using seismic data.展开更多
文摘Based on the author’s experience in the siting of nuclear power plants,some important points and methods for investigation of capable fault and the identification of diffuse seismicity are discussed in the paper.
文摘Since the 1980s, a whole class of economic capable persons has emerged along with China＇s rural economic development. This class actively participates in grassroots politics and even leads local village governance, creating a unique, novel pattern of village governance in China. This pattern has far-reaching implications for the use of power in China＇s villages and for the management of grassroots communities. First, it represents democracy-based authoritarian politics （democracy-authority politics） and a transition away from traditional rural village ＂squireship＂ governance. Second, governance by economic capable persons surpasses the unitary, centralized People＇s Commune governance, replacing it with a pluralistic model that utilizes grass-roots community management. Third, the self-governing pattern that is emerging, wherein the general public participates in a government that is dominated by an economic capable persons, demonstrates a modification of ideal villager self-governance and also a pragmatic invention based on local political realities. In the long run, this new class emergence has the potential to evolve into a new type of localized politics; with further economic differentiation in rural areas, village governance will become increasingly diversified, where governing by capable persons will be just one feasible option. This pattern is already becoming common in many rural areas, especially those where the nonagricultural economy is relatively developed
文摘Keratinous wastes could be degraded by some microorganisms in nature. Native human foot skin （NHFS） was used as sole nitrogen source to screen microorganisms with keratin-degrading capability. From approximately 200 strains, a strain of Streptomyces sp. strain No. 16 was found to possess the strongest keratinolytic activity, and the total activity in the culture was 110 KU/ml with specific activity of 2870 KU/mg protein （KU： keratinase unit）. Substrate specificity test indicated that the crude keratinase could degrade keratin azure, human hair, cock feathers and collagen. The optimal pH of the crude keratinase ranged from 7.5 to 10 and the temperature ranged from 40℃ to 55℃. Metal chelating agent ethylenediamine tetraacetic acid obviously stimulated the keratinolytic activity but suppressed the proteolytic activity. To our knowledge, this is the first report on specific induction of keratinases by NHFS from an actinomycete. Moreover, excellent characteristics of its crude keratinase may lead to the potential application in waste treatment and recovery, poultry and leather industry, medicine, and cosmetic development.
文摘CONG Zhongxiao, 36, holds the postof vice-president of China Women’sCollege. For years she has lectured on theeducation of preschool mathematics,research methods and statistics forkindergarten and nursery schools.Regarding teaching as an art, she appliesherself to it with great concentration andhas turned the teaching of "conclusion-result" into "process-result." The change iswell received by students for it linkstheory with practice and greatly stimulatesa thirst for knowledge in their
基金supported by Major Infectious Diseases Surveillance Projects[Grant No.33002,33003,33055].
文摘Brucellosis is a zoonotic infectious and allergic disease caused by Brucella bacteria.Brucellosis occurs worldwide and has had a huge economic impact on the livestock industry in many countries and regions.It has become a major public health problem.Brucella is an endoparasitic,non-motile Gram-negative bacterium capable of surviving within a diverse range of domestic animal hosts.
文摘The landscape of human resource management within large enterprises necessitates efficient and unbiased recruitment practices to ensure organisational effectiveness and foster diversity(Ayoko&Fujimoto,2023).Traditional hiring processes often create biases,which cause additional challenges in achieving proper objectives(Bogen,2021).According to Workable(workable.com),the average time to fill a job requisition is 41 days(Howden,2023).This paper proposes a framework for the development and implementation of an Artificially Capable Intelligent(ACI)-powered Human Resource(HR)Assistant for large enterprises(possibly more than 300 employees)to eliminate these unnecessary challenges caused by biases in hiring practices,therefore directly addressing fair and just participation in society and the world of work.The framework integrates ACI technologies,particularly candidate identification,to revolutionise HR practices.By leveraging ACI algorithms,the proposed hyper-realistic assistant aims to revolutionise the recruitment process.It will significantly reduce the average time to fill job requisitions.Moreover,the ACI-powered system is designed to mitigate biases inherent in traditional hiring practices,thus fostering a fair and inclusive environment for all candidates in the shortest possible time frame.This paper includes the key components and working processes of the ACI-powered HR Assistant framework.Through a comprehensive theoretical analysis,the paper investigates the system’s working process and how the framework aligns with the goal of promoting a fair and participatory environment in the world of work.Ultimately,the proposed framework represents a main step towards enhancing organisational effectiveness,fostering diversity,and advancing equitable recruitment practices in the futuristic workplace.
基金funded by the National Natural Science Foundation of China(General Program:No.52074314,No.U19B6003-05)National Key Research and Development Program of China(2019YFA0708303-05)。
文摘Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum engineering.Recent deep learning technique has been receiving more interest due to the great potential to deal with pore pressure prediction.However,most of the traditional deep learning models are less efficient to address generalization problems.To fill this technical gap,in this work,we developed a new adaptive physics-informed deep learning model with high generalization capability to predict pore pressure values directly from seismic data.Specifically,the new model,named CGP-NN,consists of a novel parametric features extraction approach(1DCPP),a stacked multilayer gated recurrent model(multilayer GRU),and an adaptive physics-informed loss function.Through machine training,the developed model can automatically select the optimal physical model to constrain the results for each pore pressure prediction.The CGP-NN model has the best generalization when the physicsrelated metricλ=0.5.A hybrid approach combining Eaton and Bowers methods is also proposed to build machine-learnable labels for solving the problem of few labels.To validate the developed model and methodology,a case study on a complex reservoir in Tarim Basin was further performed to demonstrate the high accuracy on the pore pressure prediction of new wells along with the strong generalization ability.The adaptive physics-informed deep learning approach presented here has potential application in the prediction of pore pressures coupled with multiple genesis mechanisms using seismic data.
