A new pressure-calibration method for calibrating the reduction of second harmonic(2f)amplitude caused by pressure broadening effect in sealed microbial growth environment is present.The new method combines with linew...A new pressure-calibration method for calibrating the reduction of second harmonic(2f)amplitude caused by pressure broadening effect in sealed microbial growth environment is present.The new method combines with linewidth compensation and modulation depth compensation and makes the 2f amplitude accurately retrieve metabolic CO_(2) in microbial growth.In order to verify the method,a simulation experiment is developed,in which the increasing CO_(2) concentration leads to the increasing pressure.Comparing with the relation between the traditional 2f amplitude and gas concentration,there is a monotonous relation between the calibrated 2f amplitude and CO_(2) concentration,particularly,a linear relation is present when the CO_(2) concentration is replaced with the CO_(2) particle number.In terms of microbial measurement,the growth of Escherichia coli is measured,and the culture bottle is sealed during the microbial growth process.The experimental results show that,comparing to the microbial growth retrieved by traditional 2f amplitude,the calibrated 2f amplitude can accurately retrieve microbial growth in sealed environment.展开更多
Through the personnel training program,revising the syllabus,optimizing teaching contents,reforming teaching methods,strengthening practical teaching links and reforming examination methods,this paper explored the tea...Through the personnel training program,revising the syllabus,optimizing teaching contents,reforming teaching methods,strengthening practical teaching links and reforming examination methods,this paper explored the teaching reform and practice of Plant Growth Environment Course,in order to improve the teaching effect,stimulate learning interests of students,and cultivate application type talents meeting social demands.展开更多
The integration of genotypic and environmental data can enhance genomic prediction accuracy for crop field traits.Existing genomic prediction methods fail to consider environmental factors and the real growth environm...The integration of genotypic and environmental data can enhance genomic prediction accuracy for crop field traits.Existing genomic prediction methods fail to consider environmental factors and the real growth environments of crops,resulting in low genomic prediction accuracy.In this work,we developed GEFormer,a genotype-environment interaction genomic prediction method that integrates gating multilayer perceptron(gMLP)and linear attention mechanisms.First,GEFormer uses gMLP to extract local and global features among SNPs.Then,Omni-dimensional Dynamic Convolution is used to extract the dynamic and comprehensive features of multiple environmental factors within each day,taking into consideration the real growth pattern of crops.A linear attention mechanism is used to capture the temporal features of environmental changes.Finally,GEFormer uses a gating mechanism to effectively fuse the genomic and environmental features.We examined the accuracy of GEFormer for predicting important agronomic traits of maize,rice,and wheat under three experimental scenarios:untested genotypes in tested environments,tested genotypes in untested environments,and untested genotypes in untested environments.The results showed that GEFormer outperforms six cutting-edge statistical learning methods and four machine learning methods,especially with great advantages under the scenario of untested genotypes in untested environments.In addition,we used GEFormer for three realworld breeding applications:phenotype prediction in unknown environments,hybrid phenotype prediction using an inbred population,and cross-population phenotype prediction.The results showed that GEFormer had better prediction performance in actual breeding scenarios and could be used to assist in crop breeding.展开更多
Black fungus,with high nutritional and medicinal value,has been cultivated in China for a long time,and Heilongjiang alone accounts for about 40%of the global output.At present,the cultivation of black fungus derives ...Black fungus,with high nutritional and medicinal value,has been cultivated in China for a long time,and Heilongjiang alone accounts for about 40%of the global output.At present,the cultivation of black fungus derives mainly from the inheritance of relatively primitive practices and experience of farmers,resulting in inconsistent quality of fungus.In this study,a smart control system for the precision cultivation of black fungus was designed by using intelligent detection and control technology.The system includes a precision culture test environment and remote control system.The precision cultivation environment contains four sub-independent environments.The key parameters such as temperature,humidity,and light behavior were collected and can be adjusted individually,according to the precision cultivation stages.The intelligent remote control system included a controller cabinet,sensors unit,temperature control unit,humidity control unit,light control unit,and information transmitting unit.The controller cabinet includes a key controller which can auto-control the temperature,humidity,and lightly adjust components according to the precision cultivation conditions and processing.The temperature sensors were installed in a 3D array close to the fungus bags about 5 cm in rooms.The light tape was installed on the six walls and also had three colors(Red,Blue,and Green)which could be controlled independently in each room.The control strategy through the analysis of the data collected by all sensors,the current cultivate situation of the cultivation environment was obtained,and the heater,fan,light,and nozzle were regulated according to the strategy to maintain a suitable precision cultivation environment for fungus.To verify the feasibility of the precision cultivation processing and control system,the test result shows that the error of temperature control was about 0℃-1℃,the error of humidity control was about 1%-4%,and the error of illuminance control was about 0-50 lx;All the verification results show that the control system for precision cultivation has high precision and can meet the needs of exploring the"Black 29"fungus cultivation experiment environment.Based on the orthogonal experiment,the best combination of the temperature and humidity for each growth stage was also investigated in this study,further proving the reliability and feasibility of the control system for the precision cultivation of Auricularia auricula.展开更多
This research aims at exploring the differences in the effects of environment on entrepreneurship growth between state-owned enterprises and private businesses. Through executive investigation, reasons are provided fo...This research aims at exploring the differences in the effects of environment on entrepreneurship growth between state-owned enterprises and private businesses. Through executive investigation, reasons are provided for better performance of private businesses. Environmental factors, including economic, legal, technological, cultural and social factors, which influence entrepreneurship growth, are examined to determine differences between state-owned enterprise and private business executives. It is found that the methods of executive assignment to managerial posts determine executives＇ effort towards entrepreneurship.展开更多
基金the National Key Research and Development Program of China(Grant Nos.2017YFC0209700 and 2016YFC0303900)the National Natural Science Foundation of China(Grant No.41730103).
文摘A new pressure-calibration method for calibrating the reduction of second harmonic(2f)amplitude caused by pressure broadening effect in sealed microbial growth environment is present.The new method combines with linewidth compensation and modulation depth compensation and makes the 2f amplitude accurately retrieve metabolic CO_(2) in microbial growth.In order to verify the method,a simulation experiment is developed,in which the increasing CO_(2) concentration leads to the increasing pressure.Comparing with the relation between the traditional 2f amplitude and gas concentration,there is a monotonous relation between the calibrated 2f amplitude and CO_(2) concentration,particularly,a linear relation is present when the CO_(2) concentration is replaced with the CO_(2) particle number.In terms of microbial measurement,the growth of Escherichia coli is measured,and the culture bottle is sealed during the microbial growth process.The experimental results show that,comparing to the microbial growth retrieved by traditional 2f amplitude,the calibrated 2f amplitude can accurately retrieve microbial growth in sealed environment.
文摘Through the personnel training program,revising the syllabus,optimizing teaching contents,reforming teaching methods,strengthening practical teaching links and reforming examination methods,this paper explored the teaching reform and practice of Plant Growth Environment Course,in order to improve the teaching effect,stimulate learning interests of students,and cultivate application type talents meeting social demands.
基金supported by the Biological Breeding-National Science and Technology Major Project(2023ZD04076)the Hubei Provincial Natural Science Foundation(2023AFB832)+2 种基金the Natural Science Foundation of Guizhou Province Science and Technology Agency(ZK[2025]096)the Major Project of Hubei Hongshan Laboratory(2022HSZD031)the Yingzi Tech&Huazhong Agricultural University Intelligent Research Institute of Food Health(IRIFH202209).
文摘The integration of genotypic and environmental data can enhance genomic prediction accuracy for crop field traits.Existing genomic prediction methods fail to consider environmental factors and the real growth environments of crops,resulting in low genomic prediction accuracy.In this work,we developed GEFormer,a genotype-environment interaction genomic prediction method that integrates gating multilayer perceptron(gMLP)and linear attention mechanisms.First,GEFormer uses gMLP to extract local and global features among SNPs.Then,Omni-dimensional Dynamic Convolution is used to extract the dynamic and comprehensive features of multiple environmental factors within each day,taking into consideration the real growth pattern of crops.A linear attention mechanism is used to capture the temporal features of environmental changes.Finally,GEFormer uses a gating mechanism to effectively fuse the genomic and environmental features.We examined the accuracy of GEFormer for predicting important agronomic traits of maize,rice,and wheat under three experimental scenarios:untested genotypes in tested environments,tested genotypes in untested environments,and untested genotypes in untested environments.The results showed that GEFormer outperforms six cutting-edge statistical learning methods and four machine learning methods,especially with great advantages under the scenario of untested genotypes in untested environments.In addition,we used GEFormer for three realworld breeding applications:phenotype prediction in unknown environments,hybrid phenotype prediction using an inbred population,and cross-population phenotype prediction.The results showed that GEFormer had better prediction performance in actual breeding scenarios and could be used to assist in crop breeding.
基金funded by the Key Research and Development Project of Hebei Province(Grant No.22347402D).
文摘Black fungus,with high nutritional and medicinal value,has been cultivated in China for a long time,and Heilongjiang alone accounts for about 40%of the global output.At present,the cultivation of black fungus derives mainly from the inheritance of relatively primitive practices and experience of farmers,resulting in inconsistent quality of fungus.In this study,a smart control system for the precision cultivation of black fungus was designed by using intelligent detection and control technology.The system includes a precision culture test environment and remote control system.The precision cultivation environment contains four sub-independent environments.The key parameters such as temperature,humidity,and light behavior were collected and can be adjusted individually,according to the precision cultivation stages.The intelligent remote control system included a controller cabinet,sensors unit,temperature control unit,humidity control unit,light control unit,and information transmitting unit.The controller cabinet includes a key controller which can auto-control the temperature,humidity,and lightly adjust components according to the precision cultivation conditions and processing.The temperature sensors were installed in a 3D array close to the fungus bags about 5 cm in rooms.The light tape was installed on the six walls and also had three colors(Red,Blue,and Green)which could be controlled independently in each room.The control strategy through the analysis of the data collected by all sensors,the current cultivate situation of the cultivation environment was obtained,and the heater,fan,light,and nozzle were regulated according to the strategy to maintain a suitable precision cultivation environment for fungus.To verify the feasibility of the precision cultivation processing and control system,the test result shows that the error of temperature control was about 0℃-1℃,the error of humidity control was about 1%-4%,and the error of illuminance control was about 0-50 lx;All the verification results show that the control system for precision cultivation has high precision and can meet the needs of exploring the"Black 29"fungus cultivation experiment environment.Based on the orthogonal experiment,the best combination of the temperature and humidity for each growth stage was also investigated in this study,further proving the reliability and feasibility of the control system for the precision cultivation of Auricularia auricula.
文摘This research aims at exploring the differences in the effects of environment on entrepreneurship growth between state-owned enterprises and private businesses. Through executive investigation, reasons are provided for better performance of private businesses. Environmental factors, including economic, legal, technological, cultural and social factors, which influence entrepreneurship growth, are examined to determine differences between state-owned enterprise and private business executives. It is found that the methods of executive assignment to managerial posts determine executives＇ effort towards entrepreneurship.
