Because the breast cancer is an important factor that threatens women's lives and health,early diagnosis is helpful for disease screening and a good prognosis.Exosomes are nanovesicles,secreted from cells and othe...Because the breast cancer is an important factor that threatens women's lives and health,early diagnosis is helpful for disease screening and a good prognosis.Exosomes are nanovesicles,secreted from cells and other body fluids,which can reflect the genetic and phenotypic status of parental cells.Compared with other methods for early diagnosis of cancer(such as circulating tumor cells(CTCs)and circulating tumor DNA),exosomes have a richer number and stronger biological stability,and have great potential in early diagnosis.Thus,it has been proposed as promising biomarkers for diagnosis of early-stage cancer.However,distinguishing different exosomes remain is a major biomedical challenge.In this paper,we used predictive Convolutional Neural model to detect and analyze exosomes of normal and cancer cells with surface-enhanced Raman scattering(SERS).As a result,it can be seen from the SERS spectra that the exosomes of MCF-7,MDA-MB-231 and MCF-10A cells have similar peaks(939,1145 and 1380 cm^(-1)).Based on this dataset,the predictive model can achieve 95%accuracy.Compared with principal component analysis(PCA),the trained CNN can classify exosomes from different breast cancer cells with a superior performance.The results indicate that using the sensitivity of Raman detection and exosomes stable presence in the incubation period of cancer cells,SERS detection combined with CNN screening may be used for the early diagnosis of breast cancer in the future.展开更多
In order to study the influence rule of various factors on the operating power consumption of the traction orchard transporter and realize the optimal design of the operation power consumption of the transporter,accor...In order to study the influence rule of various factors on the operating power consumption of the traction orchard transporter and realize the optimal design of the operation power consumption of the transporter,according to the traditional experience and the existing research foundation,the monorail transporter test bench was designed and built on the basis of the whole structure and operation characteristics of the transporter.Taking the motor frequency,track gradient and load as the investigation factors,and the driving shaft power,shaft power transmission and mechanical efficiency as the evaluation indices,the orthogonal test was conducted,and the range analysis of the influence effect was carried out according to the test results.The primary and secondary orders of the influence of various factors were obtained that motor frequency was greater than track gradient and track gradient was greater than load.According to the orthogonal test results,the second-order response surface method was used to establish the optimization model of the power consumption of the transporter,and the model was verified on the test bench.The results showed that the relative error between the model optimization value and the test value based on the response surface power optimization model was less than 10%,which indicated that the power optimization model had satisfactory performance.The research can provide a reference for the orchard conveyor to choose the parameter combination which can save power consumption and the motor that matches power consumption.展开更多
To solve the problems of the traditional orchard conveyor,such as inflexible steering,a complex structure,poor stability and no power grid coverage,a remote-controlled rail conveyor powered by hydraulic pressure for m...To solve the problems of the traditional orchard conveyor,such as inflexible steering,a complex structure,poor stability and no power grid coverage,a remote-controlled rail conveyor powered by hydraulic pressure for mountainous orchards was designed and manufactured.Climbing stress analysis was carried out on a full-load trailer to obtain the maximum traction force,which met the requirement of the climbing slope of the transport mechanism.The key components of the conveyor were developed,such as the hydraulic transmission,the control system,safety protection devices,limiting devices,the throttle and decompression actuator,the counterweight tension and the battery.Through the theoretical calculations of key components,an orchard conveyor powered by diesel and hydraulic pressure was designed.Finally,the working performance of the transporter was tested through functionality,driving speed,system pressure and remote-controlled tests.The test results showed that the climbing angle of the transporter can reach 50°,the uphill load can reach 840 kg,the downhill load can reach 1100 kg,and the average running speed is 0.77 m/s;the driving speed ranges from 0.29 m/s to 1.08 m/s,and the system pressure ranges from 3.2 MPa to 10 MPa.The driving speed and system pressure are significantly affected by the load,and the remote control distance can reach 455 m.The technical specifications of the transporter meet all the design requirements,and the problem of stable operation of the transporter without power grid coverage has been addressed.The research results can well meet the practical application requirements of mountain orchard transportation without power grid coverage and provide theoretical reference for the design of key components of mountain orchard transportation machinery.展开更多
基金This work was supported by the National Natural Science Foundation of China(62175071,11964032,31300691,32071399 and 61675072)the Science and Technology Project of Guangdong Province of China(2017A020215059)+2 种基金the Science and Technology Project of Guangzhou City(201904010323 and 2019050001)the Innovation Project of Graduate School of South China Normal University(2019LKXM023)Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education(Fujian Normal University)(JYG2008).
文摘Because the breast cancer is an important factor that threatens women's lives and health,early diagnosis is helpful for disease screening and a good prognosis.Exosomes are nanovesicles,secreted from cells and other body fluids,which can reflect the genetic and phenotypic status of parental cells.Compared with other methods for early diagnosis of cancer(such as circulating tumor cells(CTCs)and circulating tumor DNA),exosomes have a richer number and stronger biological stability,and have great potential in early diagnosis.Thus,it has been proposed as promising biomarkers for diagnosis of early-stage cancer.However,distinguishing different exosomes remain is a major biomedical challenge.In this paper,we used predictive Convolutional Neural model to detect and analyze exosomes of normal and cancer cells with surface-enhanced Raman scattering(SERS).As a result,it can be seen from the SERS spectra that the exosomes of MCF-7,MDA-MB-231 and MCF-10A cells have similar peaks(939,1145 and 1380 cm^(-1)).Based on this dataset,the predictive model can achieve 95%accuracy.Compared with principal component analysis(PCA),the trained CNN can classify exosomes from different breast cancer cells with a superior performance.The results indicate that using the sensitivity of Raman detection and exosomes stable presence in the incubation period of cancer cells,SERS detection combined with CNN screening may be used for the early diagnosis of breast cancer in the future.
基金supported by the National Key R&D Program(Grant No.2020YFD1000101)Special Funds for the Construction of Industrial Technology System of Modern Agriculture(Citrus)(CARS-26)+2 种基金Construction Project of Citrus Whole Course Mechanized Scientific Research Base(Agricultural Development Facility[2017]19)Hubei Agricultural Science and Technology Innovation Action Project,2021 Young Innovative Talents Project of General Colleges and Universities in Guangdong Province(Grant No.2021KQNCX128)Science and Technology Program of Guangdong Polytechnic College(Grant No.GKJ2021004).
文摘In order to study the influence rule of various factors on the operating power consumption of the traction orchard transporter and realize the optimal design of the operation power consumption of the transporter,according to the traditional experience and the existing research foundation,the monorail transporter test bench was designed and built on the basis of the whole structure and operation characteristics of the transporter.Taking the motor frequency,track gradient and load as the investigation factors,and the driving shaft power,shaft power transmission and mechanical efficiency as the evaluation indices,the orthogonal test was conducted,and the range analysis of the influence effect was carried out according to the test results.The primary and secondary orders of the influence of various factors were obtained that motor frequency was greater than track gradient and track gradient was greater than load.According to the orthogonal test results,the second-order response surface method was used to establish the optimization model of the power consumption of the transporter,and the model was verified on the test bench.The results showed that the relative error between the model optimization value and the test value based on the response surface power optimization model was less than 10%,which indicated that the power optimization model had satisfactory performance.The research can provide a reference for the orchard conveyor to choose the parameter combination which can save power consumption and the motor that matches power consumption.
基金The authors acknowledge that this work was supported by the National Key R&D Program(Grant No.2020YFD1000101)Special Funds for the Construction of Industrial Technology System of Modern Agriculture(Citrus)(Grant No.CARS-26)+2 种基金Construction Project of Citrus Whole Course Mechanized Scientific Research Base(Agricultural Development Facility[2017]19)Hubei Agricultural Science and Technology Innovation Action Project,Young Innovative Talents Project of General Colleges and Universities in Guangdong Province(Grant No.2018KQNCX311)Science and Technology Program of Guangdong Polytechnic College(Grant No.JXGG202030).
文摘To solve the problems of the traditional orchard conveyor,such as inflexible steering,a complex structure,poor stability and no power grid coverage,a remote-controlled rail conveyor powered by hydraulic pressure for mountainous orchards was designed and manufactured.Climbing stress analysis was carried out on a full-load trailer to obtain the maximum traction force,which met the requirement of the climbing slope of the transport mechanism.The key components of the conveyor were developed,such as the hydraulic transmission,the control system,safety protection devices,limiting devices,the throttle and decompression actuator,the counterweight tension and the battery.Through the theoretical calculations of key components,an orchard conveyor powered by diesel and hydraulic pressure was designed.Finally,the working performance of the transporter was tested through functionality,driving speed,system pressure and remote-controlled tests.The test results showed that the climbing angle of the transporter can reach 50°,the uphill load can reach 840 kg,the downhill load can reach 1100 kg,and the average running speed is 0.77 m/s;the driving speed ranges from 0.29 m/s to 1.08 m/s,and the system pressure ranges from 3.2 MPa to 10 MPa.The driving speed and system pressure are significantly affected by the load,and the remote control distance can reach 455 m.The technical specifications of the transporter meet all the design requirements,and the problem of stable operation of the transporter without power grid coverage has been addressed.The research results can well meet the practical application requirements of mountain orchard transportation without power grid coverage and provide theoretical reference for the design of key components of mountain orchard transportation machinery.
