Oriented graphene aerogels have limited applica-tions because the flexibility of their graphene sheets and mi-crostructure give them a low skeleton strength,insufficient compression resilience,and poor flexibility.We ...Oriented graphene aerogels have limited applica-tions because the flexibility of their graphene sheets and mi-crostructure give them a low skeleton strength,insufficient compression resilience,and poor flexibility.We report the preparation of novel aerogel materials with a much better per-formance.Using the driving force of graphene oxide(GO)self-assembly andπ-πinteractions,carbon nanotubes(CNTs)were attached to the GO sheets,and an oriented composite carbon skeleton was constructed using“hydro-plastic foam-ing”.The introduction of CNTs significantly increased the strength of the skeleton and gave the aerogel an excellent re-versible compressibility.The innovative use of cold pressing greatly improved the thermal conductivity and flexibility of the aerogel,providing new ideas for the development of high-performance aerogels.Tests show that the obtained graphene composite aerogel has a reversible compressive strain of over 90%and can withstand 500 compression cycles along the direc-tion of pore accumulation.It can endure more than 10000 bending cycles perpendicular to the direction of composite carbon layer stacking,and its in-plane thermal conductivity reaches 64.5 W·m^(-1)·K^(-1).When filled with phase change materials,the high porosity of the carbon skeleton enables the material to have a high phase change filling rate,and its phase change enthalpy is greater than 150 J/g.Thanks to the exceptional flexibility of the carbon skeleton,the macrostructure of phase change materials can be bent as needed to adapt to thermal management scenarios and conform to device shapes.This significantly enhances practical application compatibility,providing flexible support for temperature control and thermal management across diverse device forms.展开更多
Objective Primary liver cancer,predominantly hepatocellular carcinoma(HCC),is a significant global health issue,ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality.Accura...Objective Primary liver cancer,predominantly hepatocellular carcinoma(HCC),is a significant global health issue,ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality.Accurate and early diagnosis of HCC is crucial for effective treatment,as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma(ICC)exhibit different prognoses and treatment responses.Traditional diagnostic methods,including liver biopsy and contrast-enhanced ultrasound(CEUS),face limitations in applicability and objectivity.The primary objective of this study was to develop an advanced,lightweighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images.The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions.Methods This retrospective study encompassed a total of 161 patients,comprising 131 diagnosed with HCC and 30 with non-HCC malignancies.To achieve accurate tumor detection,the YOLOX network was employed to identify the region of interest(ROI)on both B-mode ultrasound and CEUS images.A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images.These curves provided critical data for the subsequent analysis and classification process.To analyze the extracted brightness change curves and classify the malignancies,we developed and compared several models.These included one-dimensional convolutional neural networks(1D-ResNet,1D-ConvNeXt,and 1D-CNN),as well as traditional machine-learning methods such as support vector machine(SVM),ensemble learning(EL),k-nearest neighbor(KNN),and decision tree(DT).The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics:area under the receiver operating characteristic(AUC),accuracy(ACC),sensitivity(SE),and specificity(SP).Results The evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM,0.56 for ensemble learning,0.63 for KNN,and 0.72 for the decision tree.These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves.In contrast,the deep learning models demonstrated significantly higher AUCs,with 1D-ResNet achieving an AUC of 0.72,1D-ConvNeXt reaching 0.82,and 1D-CNN obtaining the highest AUC of 0.84.Moreover,under the five-fold cross-validation scheme,the 1D-CNN model outperformed other models in both accuracy and specificity.Specifically,it achieved accuracy improvements of 3.8%to 10.0%and specificity enhancements of 6.6%to 43.3%over competing approaches.The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification.Conclusion The 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies,surpassing both traditional machine-learning methods and other deep learning models.This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’diagnostic capabilities.By improving the accuracy and efficiency of clinical decision-making,this tool has the potential to positively impact patient care and outcomes.Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.展开更多
“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People s Republic of Chi...“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People s Republic of China.The journal started publication in 1955.The original name at starting publication was“Journal of Natural Science of Northeast People University”,which was changed into“Acta Scientiarum Naturalium Universitatis Jilinensis”in 1958 owing to the name change of the university.展开更多
Nowadays,new energy technologies are developing rapidly,energy storage systems are widely used,and lithium-ion batteries occupy a dominant position among them.Therefore,it is also very important to ensure their perfor...Nowadays,new energy technologies are developing rapidly,energy storage systems are widely used,and lithium-ion batteries occupy a dominant position among them.Therefore,it is also very important to ensure their performance,safety and service life through thermal management technology.In this paper,the causes of thermal runaway of lithium batteries are reviewed firstly,and three commonly used thermal management technologies,namely,air cooling,liquid cooling and phase change material cooling,are compared according to relevant literature in recent years.Air cooling technology has been widely studied because of its simple structure and low cost,but its temperature control effect is poor.Liquid cooling technology takes away heat through the circulation of liquid medium,which has a good cooling effect,but the system is relatively complex.Phase change material(PCM)cooling technology uses the high latent heat of PCM to absorb and re-lease heat,which can effectively reduce the peak temperature of a battery and improve the temperature uniformity,but the low thermal conductivity and liquid leakage are its main problems.To sum up,lithium-ion battery thermal management technology is moving towards a more efficient,safer and cost-effective direction.Coupled cooling systems,such as those combining liquid cooling and phase change material cooling,show great potential.Future research will continue to explore new materials and technologies to meet the growing demands of society and the market for lithium-ion battery perfor-mance and safety.展开更多
“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People,s Republic of Chi...“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People,s Republic of China.The journal started publication in 1955.The original name at starting publication was“Journal of Natural Science of Northeast People University”,which was changed into “Acta Scientiarum Naturalium Universitatis Jilinensis”in 1958owing to the name change of the university.展开更多
[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infra...[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infrastructure such as pipe networks for urban stormwater management is not enough to deal with urban rainstorm flood disasters under extreme rainfall events.The integration of green,grey and blue systems(GGB-integrated system)is gradually gaining recognition in the field of global flood prevention.It is necessary to further clarify the connotation,technical and engineering implementation strategies of the GGB-integrated system,to provide support for the resilient city construction.[Methods]Through literature retrieval and analysis,the relevant research and progress related to the layout optimization and joint scheduling optimization of the GGBintegrated system were systematically reviewed.In response to existing limitations and future engineering application requirements,key supporting technologies including the utilization of overground emergency storage spaces,safety protection of underground important infrastructure and multi-departmental collaboration,were proposed.A layout optimization framework and a joint scheduling framework for the GGB-integrated system were also developed.[Results]Current research on layout optimization predominantly focuses on the integration of green system and grey system,with relatively fewer studies incorporating blue system infrastructure into the optimization process.Moreover,these studies tend to be on a smaller scale with simpler scenarios,which do not fully capture the complexity of real-world systems.Additionally,optimization objective tend to prioritize environmental and economic goals,while social and ecological factors are less frequently considered.Current research on joint scheduling optimization is often limited to small-scale plots,with insufficient attention paid to the entire system.There is a deficiency in method for real-time,automated determination of optimal control strategies for combinations of multiple system facilities based on actual rainfall-runoff processes.Additionally,the application of emergency facilities during extreme conditions is not sufficiently addressed.Furthermore,both layout optimization and joint scheduling optimization lack consideration of the mute feed effect of flood and waterlogging in urban,watershed and regional scales.[Conclusion]Future research needs to improve the theoretical framework for layout optimization and joint scheduling optimization of GGB-integrated system.Through the comprehensive application of the Internet of things,artificial intelligence,coupling model development,multi-scale analysis,multi-scenario simulation,and the establishment of multi-departmental collaboration mechanisms,it can enhance the flood resilience of urban areas in response to rainfall events of varying intensities,particularly extreme rainfall events.展开更多
The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.How...The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.展开更多
"Journal of Jilin University(Science Edition)"is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People's Rep..."Journal of Jilin University(Science Edition)"is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People's Republic of China.The journal started publication in 1955.The original name at starting publication was"Journal of Natural Science of North east People University",which was changed into"Acta Scientiarum Naturalium Universitatis Jilinensis"in 1958 owing to the name change of the university.展开更多
Cotton is an essential agricultural commodity,but its global yield is greatly affected by climate change,which poses a serious threat to the agriculture sector.This review aims to provide an overview of the impact of ...Cotton is an essential agricultural commodity,but its global yield is greatly affected by climate change,which poses a serious threat to the agriculture sector.This review aims to provide an overview of the impact of climate change on cotton production and the use of genomic approaches to increase stress tolerance in cotton.This paper discusses the effects of rising temperatures,changing precipitation patterns,and extreme weather events on cotton yield.It then explores various genomic strategies,such as genomic selection and marker-assisted selection,which can be used to develop stress-tolerant cotton varieties.The review emphasizes the need for interdisciplinary research efforts and policy interventions to mitigate the adverse effects of climate change on cotton production.Furthermore,this paper presents advanced prospects,including genomic selection,gene editing,multi-omics integration,highthroughput phenotyping,genomic data sharing,climate-informed breeding,and phenomics-assisted genomic selection,for enhancing stress resilience in cotton.Those innovative approaches can assist cotton researchers and breeders in developing highly resilient cotton varieties capable of withstanding the challenges posed by climate change,ensuring the sustainable and prosperous future of cotton production.展开更多
基于逆磁致伸缩效应,建立钢缆索索力传感器理论模型,分析了施加在缆索材料上的力信号(外力和应变)与磁信号(磁感应强度、磁场强度)之间的耦合关系.针对一种环式结构的索力传感器,对索力测量原理做了详细推导,可通过检测感应线圈的感应...基于逆磁致伸缩效应,建立钢缆索索力传感器理论模型,分析了施加在缆索材料上的力信号(外力和应变)与磁信号(磁感应强度、磁场强度)之间的耦合关系.针对一种环式结构的索力传感器,对索力测量原理做了详细推导,可通过检测感应线圈的感应电压反映材料所受外力.传感器输出感应电压与空气间隙尺寸、外部激励磁场下的材料磁导率、激励磁场变化、加载外力变化等因素有关,重点分析了激励磁场变化和外力变化对传感器输出的影响.当外力是缓变力,可通过检测感应积分电压求得外力;当外力是交变力,直接通过感应电压求得外力;最后通过对磁场变化和外力变化影响分别进行了仿真,结果与理论分析基本一致,表明所建立的索力传感器理论模型可行.
Abstract：
Based on Villari-effect, the theoretic mdel d the cable tension sensor is presented. The relationship between mechanical parameters such as stress, strain and electromagnetic parameters like magnetic field and magnetic induction field are discussed. One loop-shaped stinulative structure of cable tension sensor based on Villari--effect is proposed and cable tension sensor principle is deeply analysed. By measuring inductive voltage in inductive loops, cable tension stress may be measured. Sensor output may be determined by air clearance, magnetic permeability, magnetic field, stress and inductive loops denseness. The sensor output effects resulting from magnetic field and stress ate analysed respectively. When stress changes tardigradely, the cable tension stress may be measured by measuring inductive integral voltage. When stress changes expeditiously, the cable tension stress may be measured by measuring inductive voltage. Sensor sensibility may be determined by stress frequency, inductive loops denseness, magnetic field and nagnetic permeability. In addition, the sensor output effects from magnetic changing and stress changing have been analysed with emulational methods. The results indicate that sensor theory model is feasible.展开更多
文摘Oriented graphene aerogels have limited applica-tions because the flexibility of their graphene sheets and mi-crostructure give them a low skeleton strength,insufficient compression resilience,and poor flexibility.We report the preparation of novel aerogel materials with a much better per-formance.Using the driving force of graphene oxide(GO)self-assembly andπ-πinteractions,carbon nanotubes(CNTs)were attached to the GO sheets,and an oriented composite carbon skeleton was constructed using“hydro-plastic foam-ing”.The introduction of CNTs significantly increased the strength of the skeleton and gave the aerogel an excellent re-versible compressibility.The innovative use of cold pressing greatly improved the thermal conductivity and flexibility of the aerogel,providing new ideas for the development of high-performance aerogels.Tests show that the obtained graphene composite aerogel has a reversible compressive strain of over 90%and can withstand 500 compression cycles along the direc-tion of pore accumulation.It can endure more than 10000 bending cycles perpendicular to the direction of composite carbon layer stacking,and its in-plane thermal conductivity reaches 64.5 W·m^(-1)·K^(-1).When filled with phase change materials,the high porosity of the carbon skeleton enables the material to have a high phase change filling rate,and its phase change enthalpy is greater than 150 J/g.Thanks to the exceptional flexibility of the carbon skeleton,the macrostructure of phase change materials can be bent as needed to adapt to thermal management scenarios and conform to device shapes.This significantly enhances practical application compatibility,providing flexible support for temperature control and thermal management across diverse device forms.
文摘Objective Primary liver cancer,predominantly hepatocellular carcinoma(HCC),is a significant global health issue,ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality.Accurate and early diagnosis of HCC is crucial for effective treatment,as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma(ICC)exhibit different prognoses and treatment responses.Traditional diagnostic methods,including liver biopsy and contrast-enhanced ultrasound(CEUS),face limitations in applicability and objectivity.The primary objective of this study was to develop an advanced,lightweighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images.The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions.Methods This retrospective study encompassed a total of 161 patients,comprising 131 diagnosed with HCC and 30 with non-HCC malignancies.To achieve accurate tumor detection,the YOLOX network was employed to identify the region of interest(ROI)on both B-mode ultrasound and CEUS images.A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images.These curves provided critical data for the subsequent analysis and classification process.To analyze the extracted brightness change curves and classify the malignancies,we developed and compared several models.These included one-dimensional convolutional neural networks(1D-ResNet,1D-ConvNeXt,and 1D-CNN),as well as traditional machine-learning methods such as support vector machine(SVM),ensemble learning(EL),k-nearest neighbor(KNN),and decision tree(DT).The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics:area under the receiver operating characteristic(AUC),accuracy(ACC),sensitivity(SE),and specificity(SP).Results The evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM,0.56 for ensemble learning,0.63 for KNN,and 0.72 for the decision tree.These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves.In contrast,the deep learning models demonstrated significantly higher AUCs,with 1D-ResNet achieving an AUC of 0.72,1D-ConvNeXt reaching 0.82,and 1D-CNN obtaining the highest AUC of 0.84.Moreover,under the five-fold cross-validation scheme,the 1D-CNN model outperformed other models in both accuracy and specificity.Specifically,it achieved accuracy improvements of 3.8%to 10.0%and specificity enhancements of 6.6%to 43.3%over competing approaches.The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification.Conclusion The 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies,surpassing both traditional machine-learning methods and other deep learning models.This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’diagnostic capabilities.By improving the accuracy and efficiency of clinical decision-making,this tool has the potential to positively impact patient care and outcomes.Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.
文摘“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People s Republic of China.The journal started publication in 1955.The original name at starting publication was“Journal of Natural Science of Northeast People University”,which was changed into“Acta Scientiarum Naturalium Universitatis Jilinensis”in 1958 owing to the name change of the university.
基金supported by the National Natural Science Foundation of China(No.52001045).
文摘Nowadays,new energy technologies are developing rapidly,energy storage systems are widely used,and lithium-ion batteries occupy a dominant position among them.Therefore,it is also very important to ensure their performance,safety and service life through thermal management technology.In this paper,the causes of thermal runaway of lithium batteries are reviewed firstly,and three commonly used thermal management technologies,namely,air cooling,liquid cooling and phase change material cooling,are compared according to relevant literature in recent years.Air cooling technology has been widely studied because of its simple structure and low cost,but its temperature control effect is poor.Liquid cooling technology takes away heat through the circulation of liquid medium,which has a good cooling effect,but the system is relatively complex.Phase change material(PCM)cooling technology uses the high latent heat of PCM to absorb and re-lease heat,which can effectively reduce the peak temperature of a battery and improve the temperature uniformity,but the low thermal conductivity and liquid leakage are its main problems.To sum up,lithium-ion battery thermal management technology is moving towards a more efficient,safer and cost-effective direction.Coupled cooling systems,such as those combining liquid cooling and phase change material cooling,show great potential.Future research will continue to explore new materials and technologies to meet the growing demands of society and the market for lithium-ion battery perfor-mance and safety.
文摘“Journal of Jilin University(Science Edition)”is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People,s Republic of China.The journal started publication in 1955.The original name at starting publication was“Journal of Natural Science of Northeast People University”,which was changed into “Acta Scientiarum Naturalium Universitatis Jilinensis”in 1958owing to the name change of the university.
文摘[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infrastructure such as pipe networks for urban stormwater management is not enough to deal with urban rainstorm flood disasters under extreme rainfall events.The integration of green,grey and blue systems(GGB-integrated system)is gradually gaining recognition in the field of global flood prevention.It is necessary to further clarify the connotation,technical and engineering implementation strategies of the GGB-integrated system,to provide support for the resilient city construction.[Methods]Through literature retrieval and analysis,the relevant research and progress related to the layout optimization and joint scheduling optimization of the GGBintegrated system were systematically reviewed.In response to existing limitations and future engineering application requirements,key supporting technologies including the utilization of overground emergency storage spaces,safety protection of underground important infrastructure and multi-departmental collaboration,were proposed.A layout optimization framework and a joint scheduling framework for the GGB-integrated system were also developed.[Results]Current research on layout optimization predominantly focuses on the integration of green system and grey system,with relatively fewer studies incorporating blue system infrastructure into the optimization process.Moreover,these studies tend to be on a smaller scale with simpler scenarios,which do not fully capture the complexity of real-world systems.Additionally,optimization objective tend to prioritize environmental and economic goals,while social and ecological factors are less frequently considered.Current research on joint scheduling optimization is often limited to small-scale plots,with insufficient attention paid to the entire system.There is a deficiency in method for real-time,automated determination of optimal control strategies for combinations of multiple system facilities based on actual rainfall-runoff processes.Additionally,the application of emergency facilities during extreme conditions is not sufficiently addressed.Furthermore,both layout optimization and joint scheduling optimization lack consideration of the mute feed effect of flood and waterlogging in urban,watershed and regional scales.[Conclusion]Future research needs to improve the theoretical framework for layout optimization and joint scheduling optimization of GGB-integrated system.Through the comprehensive application of the Internet of things,artificial intelligence,coupling model development,multi-scale analysis,multi-scenario simulation,and the establishment of multi-departmental collaboration mechanisms,it can enhance the flood resilience of urban areas in response to rainfall events of varying intensities,particularly extreme rainfall events.
基金Supported by the National Key Research and Development Program of China(2022YFA1404602)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0580000)+3 种基金the National Natural Science Foundation of China(U23B2045,62305362)the Program of Shanghai Academic/Technology Research Leader(22XD1424400)the Fund of SITP Innovation Foundation(CX-461 and CX-522)Special Project to Seize the Commanding Heights of Science and Technology of Chinese Academy of Sciences,subtopic(GJ0090406-6).
文摘The polarization properties of light are widely applied in imaging,communications,materials analy⁃sis,and life sciences.Various methods have been developed that can measure the polarization information of a target.However,conventional polarization detection systems are often bulky and complex,limiting their poten⁃tial for broader applications.To address the challenges of miniaturization,integrated polarization detectors have been extensively explored in recent years,achieving significant advancements in performance and functionality.In this review,we focus mainly on integrated polarization detectors with innovative features,including infinitely high polarization discrimination,ultrahigh sensitivity to polarization state change,full Stokes parameters measure⁃ment,and simultaneous perception of polarization and other key properties of light.Lastly,we discuss the oppor⁃tunities and challenges for the future development of integrated polarization photodetectors.
文摘"Journal of Jilin University(Science Edition)"is a comprehensive academic journal in the fields of science sponsored by Jilin University and administrated by the Ministry of Education of the People's Republic of China.The journal started publication in 1955.The original name at starting publication was"Journal of Natural Science of North east People University",which was changed into"Acta Scientiarum Naturalium Universitatis Jilinensis"in 1958 owing to the name change of the university.
基金supported by major national R&D projects(No.2023ZD04040-01)National Natural Science Foundation of China(No.5201101621)National Key R&D Plan(No.2022YFD1200304).
文摘Cotton is an essential agricultural commodity,but its global yield is greatly affected by climate change,which poses a serious threat to the agriculture sector.This review aims to provide an overview of the impact of climate change on cotton production and the use of genomic approaches to increase stress tolerance in cotton.This paper discusses the effects of rising temperatures,changing precipitation patterns,and extreme weather events on cotton yield.It then explores various genomic strategies,such as genomic selection and marker-assisted selection,which can be used to develop stress-tolerant cotton varieties.The review emphasizes the need for interdisciplinary research efforts and policy interventions to mitigate the adverse effects of climate change on cotton production.Furthermore,this paper presents advanced prospects,including genomic selection,gene editing,multi-omics integration,highthroughput phenotyping,genomic data sharing,climate-informed breeding,and phenomics-assisted genomic selection,for enhancing stress resilience in cotton.Those innovative approaches can assist cotton researchers and breeders in developing highly resilient cotton varieties capable of withstanding the challenges posed by climate change,ensuring the sustainable and prosperous future of cotton production.
文摘基于逆磁致伸缩效应,建立钢缆索索力传感器理论模型,分析了施加在缆索材料上的力信号(外力和应变)与磁信号(磁感应强度、磁场强度)之间的耦合关系.针对一种环式结构的索力传感器,对索力测量原理做了详细推导,可通过检测感应线圈的感应电压反映材料所受外力.传感器输出感应电压与空气间隙尺寸、外部激励磁场下的材料磁导率、激励磁场变化、加载外力变化等因素有关,重点分析了激励磁场变化和外力变化对传感器输出的影响.当外力是缓变力,可通过检测感应积分电压求得外力;当外力是交变力,直接通过感应电压求得外力;最后通过对磁场变化和外力变化影响分别进行了仿真,结果与理论分析基本一致,表明所建立的索力传感器理论模型可行.
Abstract：
Based on Villari-effect, the theoretic mdel d the cable tension sensor is presented. The relationship between mechanical parameters such as stress, strain and electromagnetic parameters like magnetic field and magnetic induction field are discussed. One loop-shaped stinulative structure of cable tension sensor based on Villari--effect is proposed and cable tension sensor principle is deeply analysed. By measuring inductive voltage in inductive loops, cable tension stress may be measured. Sensor output may be determined by air clearance, magnetic permeability, magnetic field, stress and inductive loops denseness. The sensor output effects resulting from magnetic field and stress ate analysed respectively. When stress changes tardigradely, the cable tension stress may be measured by measuring inductive integral voltage. When stress changes expeditiously, the cable tension stress may be measured by measuring inductive voltage. Sensor sensibility may be determined by stress frequency, inductive loops denseness, magnetic field and nagnetic permeability. In addition, the sensor output effects from magnetic changing and stress changing have been analysed with emulational methods. The results indicate that sensor theory model is feasible.
