Here we are honored to have an interview with the Editorin-Chief of Moore and More,Prof.Jianhua Zhang,about the journal’s scope and aspirations for the future.Prof.Zhang is also the executive dean of the School of Mi...Here we are honored to have an interview with the Editorin-Chief of Moore and More,Prof.Jianhua Zhang,about the journal’s scope and aspirations for the future.Prof.Zhang is also the executive dean of the School of Microelectronics at Shanghai University in Shanghai,China.Meanwhile,she serves concurrently as the President of Society for Information Display(SID)Beijing Chapter of the International,an executive director of the Robotics Branch of the Chinese Mechanical Engineering Society,a director of the Tribology Branch of the Chinese Mechanical Engineering Society,a director of the Micro nano Manufacturing Technology Branch of the Chinese Mechanical Engineering Society,a director of the Luminescence Branch of the Chinese Physical Society.展开更多
All-perovskite tandem solar cells(ATSCs) have the potential to surpass the Shockley-Queisser efficiency limit of conventional single-junction devices. However, the performance and stability of mixed tin–lead(Sn–Pb) ...All-perovskite tandem solar cells(ATSCs) have the potential to surpass the Shockley-Queisser efficiency limit of conventional single-junction devices. However, the performance and stability of mixed tin–lead(Sn–Pb) perovskite solar cells(PSCs), which are crucial components of ATSCs, are much lower than those of lead-based perovskites. The primary challenges include the high crystallization rate of perovskite materials and the susceptibility of Sn^(2+) oxidation, which leads to rough morphology and unfavorable p-type self-doping. To address these issues, we introduced ethylhydrazine oxalate(EDO) at the perovskite interface, which effectively inhibits the oxidation of Sn^(2+) and simultaneously enhances the crystallinity of the perovskite. Consequently, the EDO-modified mixed tin-lead PSCs reached a power conversion efficiency(PCE) of 21.96% with high reproducibility. We further achieved a 27.58% efficient ATSCs by using EDO as interfacial passivator in the Sn-Pb PSCs.展开更多
Aligning leaf nitrogen(N) distribution to match the light gradient is crucial for maximizing canopy dry matter production(DMP) and improving N utilization efficiency. However, the relationship between the gradient of ...Aligning leaf nitrogen(N) distribution to match the light gradient is crucial for maximizing canopy dry matter production(DMP) and improving N utilization efficiency. However, the relationship between the gradient of root-derived cytokinins and N distribution in rice leaves and its impact on DMP and the underlying mechanisms remains poorly understood. A two-year field experiment was conducted using two japonica N-efficient varieties(NEVs) and two japonica N-inefficient varieties(NIVs) under four different N rates(0, 90, 180, and 360 kg N ha^(-1)). These selected varieties exhibited similar values in the coefficient of light extinction(K_(L)). Results showed that at lower N rates(0–180 kg N ha^(-1)), the NEVs exhibited greater dry matter weight at maturity, higher grain yield, and improved internal N use efficiency(IE_(N)) compared to the NIVs, despite possessing comparable total N uptake. Compared with the NIVs, the NEVs exhibited a more pronounced nitrogen distribution gradient in leaves, as indicated by the coefficient of nitrogen extinction(K_(N)) values during the middle and early grain-filling stages. This enhanced gradient led to improved coordination between light and nitrogen, resulting in greater photosynthetic production, particularly at lower N rates. Furthermore, the NEVs demonstrated a larger gradient of zeatin(Z)+zeatin riboside(ZR) in leaves(i.e., higher ratios of Z+ZR levels between upper and lower leaves), enhanced expression levels of genes related to N export in lower leaves and Z+ZR loading in the root, respectively, elevated enzymes activities related to N assimilation in upper leaves, in relative to the NIVs. Correlation and random forest analyses demonstrated a strong positive correlation between the Z+ZR gradient, K_(N), and DMP, and the gradient facilitated the export of N from lower leaves and its assimilation in upper leaves, contributing significantly to both K_(N) and DMP. This process was closely linked to root activity, including root oxidation activity, root Z+ZR content, and Z+ZR loading capacity, as confirmed by applying an inhibitor or a promoter of cytokinins biosynthesis to roots. Interestingly, at the N rate of 360 kg N ha^(-1), both NEVs and NIVs showed indistinguishable plant traits, achieving a super high-yielding level(over 10.5 t ha^(-1)) but with remarkably low IE_(N). The results suggest that increasing the Z+ZR gradient can improve K_(N) and DMP, where it needs to maintain higher root activity, thus leading to high yield and high IE_(N). Further research is needed to explore and develop cultivation practices with reduced N to unlock the super-high-yielding potential of the NEVs.展开更多
Low-temperature(LT)stress is a significant abiotic stress in rice growth,especially under direct seeding cultivation,where low temperatures can significantly affect seed germination and seedling growth of direct-seede...Low-temperature(LT)stress is a significant abiotic stress in rice growth,especially under direct seeding cultivation,where low temperatures can significantly affect seed germination and seedling growth of direct-seeded rice,thereby impacting the final yield of rice.In this study,we have identified a trehalose synthesis pathway gene,trehalose-6-phosphate phosphatase 3(Os TPP3),involved in the regulation of low-temperature(LT)germination in rice,as well as its upstream regulatory factor,the ABA signaling pathway gene OsbZIP23.LT stress induced the accumulation of ABA by upregulating the expression of Os NCED3.Consistently,the overexpression of Os NCED3 significantly inhibited seed germination under LT.RT-q PCR experiments found that the expression of OsbZIP23 was also significantly induced under LT stress and ABA treatment.Overexpression of OsbZIP23 has increased the sensitivity to LT stress of rice seed,resembling the phenotype of Os NCED3 overexpressing seeds.Furthermore,both LT stress and exogenous ABA treatment increased the trehalose content in WT seeds by upregulating the expression of Os TPP3.Enhancing the expression of Os TPP3 or application of exogenous trehalose have significantly increased the sensitivity to LT stress during seed germination.Transcriptional activation and yeast one-hybrid assays demonstrated that OsbZIP23 bound to the promoter of Os TPP3 and activated its expression,which was intensified by LT stress or the application of ABA.Our study discovered an ABAdependent OsbZIP23–Os TPP3 module that responds to LT stress,inhibiting seed germination under LT conditions by increasing trehalose accumulation,thus might balance the growth and stress resistance and provide a new insight into the genetic improvement of rice cultivars with better LT germination performance.展开更多
Polyimides(PIs)are widely used in the microelectronics field due to their excellent comprehensive performance and the diversity and designability of their structures.In flexible substrate applications,designing the mo...Polyimides(PIs)are widely used in the microelectronics field due to their excellent comprehensive performance and the diversity and designability of their structures.In flexible substrate applications,designing the molecular structure to balance thermodynamic and optical properties is the most critical part of the PI design process.To accelerate the discovery of high-performance PIs,we established predictive models for glass transition temperature(T_(g)),cut-off wavelength(CW),and coefficient of thermal expansion(CTE)using various machine learning algorithms.The optimal predictive models for the three properties demonstrated high accuracy and stability in both test set predictions and cross-validation results.Additionally,the interpretability of the three optimal models was analyzed using the SHAP method,and the accuracy and generalization ability of the models were validated using several novel PIs.By combining the three models,predictions were made for multiple PIs,leading to the selection and synthesis of PIs with excellent comprehensive performance.135 novel PIs were designed and their key properties were obtained without the need for experimental verification.The predictive models established in this study can assist researchers in quickly determining the T_(g),CW and CTE of PIs,thereby facilitating the swift identification of promising candidates for further development.展开更多
Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive ski...Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive skin were likely to be more susceptible to hyperpigmentation.However,the association between sensitive skin and hyperpigmentation,as well as the underlying molecular mechanisms,remain unclear.Objective:This study aims to investigate the correlation and intrinsic mechanisms between sensitive skin and hyperpigmentation through network pharmacology combined with molecular docking.Materials and Methods:The targets associated with sensitive skin and hyperpigmentation were collected from the human gene database,GeneCards.Subsequently,the protein-protein interaction(PPI)network,Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Ontology(GO)enrichment analysis were performed to explore the biological connections between sensitive skin and hyperpigmentation.Additionally,the targets of 15 active compounds with reported lightening effects were collected from TCMSP,BATMAN and SymMap databases.Target analysis and molecular docking were performed to identify potential candidates for addressing hyperpigmentation on sensitive skin.The anti-melanogenesis effect of the identified candidate was verified in B16F10 cells.Results:A total of 16971 sensitive skin targets and 11382 hyperpigmentation targets were screened,and 9693 overlapping targets were identified,with a core set comprising 164 targets.The combination of PPI network,KEGG and GO analysis revealed the key role of tyrosinase and immune-mediated inflammation in pigmentation on sensitive skin.Among the 15 active compounds,oxyresveratrol was identified as having a high correlation with the core set targets and predicted strong inhibition of Tyrosine-protein Kinase Kit.The application of oxyresveratrol exhibited a dose-dependent suppression of melanin production in B16F10 cells.Conclusion:This study suggested the crucial roles of immune-mediated inflammation in sensitive skin and hyperpigmentation,as well as highlighted the potential of oxyresveratrol in addressing hyperpigmentation on sensitive skin.These comprehensive findings provide a deeper understanding of the connection mechanism between sensitive skin and hyperpigmentation,offering new insights for the development of targeted treatments and interventions.展开更多
Neuromorphic devices,inspired by the intricate architecture of the human brain,have garnered recognition for their prodigious computational speed and sophisticated parallel computing capabilities.Vision,the primary mo...Neuromorphic devices,inspired by the intricate architecture of the human brain,have garnered recognition for their prodigious computational speed and sophisticated parallel computing capabilities.Vision,the primary mode of external information acquisition in living organisms,has garnered substantial scholarly interest.Notwithstanding numerous studies simulating the retina through optical synapses,their applications remain circumscribed to single-mode perception.Moreover,the pivotal role of temperature,a fundamental regulator of biological activities,has regrettably been relegated to the periphery.To address these limitations,we proffer a neuromorphic device endowed with multimodal perception,grounded in the principles of light-modulated semiconductors.This device seamlessly accomplishes dynamic hybrid visual and thermal multimodal perception,featuring temperature-dependent paired pulse facilitation properties and adaptive storage.Crucially,our meticulous examination of transfer curves,capacitance–voltage(C–V)tests,and noise measurements provides insights into interface and bulk defects,elucidating the physical mechanisms underlying adaptive storage and other functionalities.Additionally,the device demonstrates a variety of synaptic functionalities,including filtering properties,Ebbinghaus curves,and memory applications in image recognition.Surprisingly,the digital recognition rate achieves a remarkable value of 98.8%.展开更多
Over recent decades,carbon-based chemical sensor technologies have advanced significantly.Nevertheless,significant opportunities persist for enhancing analyte recognition capabilities,particularly in complex environme...Over recent decades,carbon-based chemical sensor technologies have advanced significantly.Nevertheless,significant opportunities persist for enhancing analyte recognition capabilities,particularly in complex environments.Conventional monovariable sensors exhibit inherent limitations,such as susceptibility to interference from coexisting analytes,which results in response overlap.Although sensor arrays,through modification of multiple sensing materials,offer a potential solution for analyte recognition,their practical applications are constrained by intricate material modification processes.In this context,multivariable chemical sensors have emerged as a promising alternative,enabling the generation of multiple outputs to construct a comprehensive sensing space for analyte recognition,while utilizing a single sensing material.Among various carbon-based materials,carbon nanotubes(CNTs)and graphene have emerged as ideal candidates for constructing high-performance chemical sensors,owing to their well-established batch fabrication processes,superior electrical properties,and outstanding sensing capabilities.This review examines the progress of carbon-based multivariable chemical sensors,focusing on CNTs/graphene as sensing materials and field-effect transistors as transducers for analyte recognition.The discussion encompasses fundamental aspects of these sensors,including sensing materials,sensor architectures,performance metrics,pattern recognition algorithms,and multivariable sensing mechanism.Furthermore,the review highlights innovative multivariable extraction schemes and their practical applications when integrated with advanced pattern recognition algorithms.展开更多
Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive...Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive positive pressure ventilation(NIPPV)are commonly used non-invasive respiratory support methods.HFNC can provide precisely heated and humidified high-flow oxygen,reducing dead space and increasing alveolar ventilation.NIPPV can supply stable high-concentration oxygen and improve gas exchange.This article reviews the application of HFNC and NIPPV in the acute exacerbation stage of COPD,aiming to provide references for reasonable clinical selection.展开更多
Prussian blue analogues(PBAs)have emerged as highly promising cathode materials for sodium-ion batteries(SIBs)due to their simple synthesis,low cost,structural tunability,and high theoretical capacity.However,despite ...Prussian blue analogues(PBAs)have emerged as highly promising cathode materials for sodium-ion batteries(SIBs)due to their simple synthesis,low cost,structural tunability,and high theoretical capacity.However,despite their significant potential,practical applications of PBAs still face multiple performance limitations.This review provides a comprehensive examination of PBAs structures and their electrochemical reaction mechanisms,and systematically summarizes current synthesis methods and modification strategies,while offering forward-looking insights.Furthermore,from the perspective of industrialization,this review systematically analyzes the synthesis,modification,and core challenges of PBAs by comparatively evaluating the feasibility of different technological pathways based on multiple dimensions,including cost-effectiveness,process scalability,environmental impact,and supply chain security,with the aim of providing forward-looking guidance for bridging the critical gap from lab to market.展开更多
Integrated Sensing and Communication(ISAC)is considered a key technology in 6G networks.An accurate sensing channel model is crucial for the design and sensing performance evaluation of ISAC systems.The widely used Ge...Integrated Sensing and Communication(ISAC)is considered a key technology in 6G networks.An accurate sensing channel model is crucial for the design and sensing performance evaluation of ISAC systems.The widely used Geometry-Based Stochastic Model(GBSM),typically applied in standardized channel modeling,mainly focuses on the statistical fading characteristics of the channel.However,it fails to capture the characteristics of targets in ISAC systems,such as their positions and velocities,as well as the impact of the targets on the background.To address this issue,this paper proposes an Extended-GBSM(E-GBSM)sensing channel model that incorporates newly discovered channel characteristics into a unified modeling framework.In this framework,the sensing channel is divided into target and background channels.For the target channel,the model introduces a concatenated modeling approach,while for the background channel,a parameter called the power control factor is introduced to assess impact of the target on the background channel,making the modeling framework applicable to both mono-static and bi-static sensing modes.To validate the proposed model’s effectiveness,measurements of target and background channels are conducted across a wide range of indoor and outdoor scenarios,covering various sensing targets such as metal plates,reconfigurable intelligent surfaces,human bodies,unmanned aerial vehicles,and vehicles.The experimental results provide important theoretical support and empirical data for the standardization of ISAC channel modeling.展开更多
Objective:To study the therapeutic effect of the Extract of Wuwei Xiaodu Drink on spinal infection and provide the scientific basis for clinical application.Methods:By establishing a rabbit model of spinal infection,t...Objective:To study the therapeutic effect of the Extract of Wuwei Xiaodu Drink on spinal infection and provide the scientific basis for clinical application.Methods:By establishing a rabbit model of spinal infection,this paper observed and analyzed the changes in body mass before and after the intervention and the comparison of inflammation-related factors and blood leukocyte counts among the three groups.Results:There was a significant difference in the changes in body mass of rabbits before and after intervention in the experimental group,control group and blank group(P<0.05);there was no statistically significant difference in calcitoninogen,C-reactive protein and routine blood leukocyte counts between the experimental group and the control group(P>0.05),and there was a statistically significant difference in calcitoninogen,C-reactive protein and routine blood leukocyte counts between the experimental group and the blank group(P<0.05).Conclusion:The Extract of Wuwei Xiaodu Drink can play a protective role by regulating the level of inflammatory factors in blood routine leukocyte count and reducing the inflammatory reaction in the spinal cord injury area.展开更多
The ultimate pit may affect other aspects in the life of a mine such as economical, technical, environmental, and social aspects. What makes it even more complex is that most often there are many pits which are econom...The ultimate pit may affect other aspects in the life of a mine such as economical, technical, environmental, and social aspects. What makes it even more complex is that most often there are many pits which are economically minable. This calls for a heuristic approach to determine which of these pits is the ultimate pit. This study presents a means of selecting an ultimate pit during design operations of the Hebei Limestone mine. During optimization processes of the mine, many pit shells were created using Whittle Software. Normally, Whittle Software optimizes these processes and assigns a revenue factor of 1 for the ultimate pit. Unfortunately, the pit shells created did not satisfy the criteria with a revenue factor of 1 based on the parameters. As a result of this, statistical analysis was implemented to further understand the relationship, variability, and correlation of the pit shells created (data). Correlation Analysis, K-means++ Analysis, Principal Component Analysis, and Generalized Linear models were used in the analysis of the pit shells created. The results portray a salient relationship of the optimization variables. In addition, the proposed method was tested on Whittle Sample projects which satisfy the selection of ultimate pit selection with a revenue factor of 1. The results show that the proposed model produced almost the same results as the Whittle model with a revenue factor of 1 and was also able to determine the ultimate pit in cases which did not satisfy the Whittle selection criteria.展开更多
The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has ...The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has met the engineering requirements on the ground will change, seriously affecting the imaging quality. In order to eliminate the influence of gravity and to ensure the consistency of space and ground, gravity unloading must be performed. In order to meet the requirements of processing and testing for the large aperture space mirror in the state of vertical optical axis, a universal gravity unloading device was proposed. It was an active support and used air cylinders to provide accurate unloading force. First, the design flow of gravity unloading was introduced;then the detailed design of the mechanical structure and control system was given;then the performance parameters of the two types of cylinders were tested and compared, including the force-pressure relationship curve and the force-position relationship curve;finally, the experimental verification of the gravity unloading device was carried out;for a mirror with an aperture of ?2100 mm, the gravity unloading device was designed and a vertical detection optical path was built. The test results showed that by using this gravity unloading device, the actual processing surface accuracy of the mirror was better than 1/50λ-RMS, which met the application requirement of the optical system. Thus, it can be seen that using this gravity unloading device can effectively unload the gravity of the mirror and realize the accurate processing and measurement of the mirror surface. .展开更多
Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big...Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big volume feature,considering the massive antennas,huge bandwidth and versatile application scenarios.This article firstly presents a comprehensive survey of channel measurement and modeling research for mobile communication,especially for 5th Generation(5G) and beyond.Considering the big data research progress,then a cluster-nuclei based model is proposed,which takes advantages of both the stochastical model and deterministic model.The novel model has low complexity with the limited number of cluster-nuclei while the cluster-nuclei has the physical mapping to real propagation objects.Combining the channel properties variation principles with antenna size,frequency,mobility and scenario dug from the channel data,the proposed model can be expanded in versatile application to support future mobile research.展开更多
文摘Here we are honored to have an interview with the Editorin-Chief of Moore and More,Prof.Jianhua Zhang,about the journal’s scope and aspirations for the future.Prof.Zhang is also the executive dean of the School of Microelectronics at Shanghai University in Shanghai,China.Meanwhile,she serves concurrently as the President of Society for Information Display(SID)Beijing Chapter of the International,an executive director of the Robotics Branch of the Chinese Mechanical Engineering Society,a director of the Tribology Branch of the Chinese Mechanical Engineering Society,a director of the Micro nano Manufacturing Technology Branch of the Chinese Mechanical Engineering Society,a director of the Luminescence Branch of the Chinese Physical Society.
基金financially supported by National Key R&D Program of China (2025YFE0100300)the National Natural Science Foundation of China (52202293 and 52330004)the Fundamental Research Funds for the Central Universities (WUT: 2023IVA075 and 2023IVB009)。
文摘All-perovskite tandem solar cells(ATSCs) have the potential to surpass the Shockley-Queisser efficiency limit of conventional single-junction devices. However, the performance and stability of mixed tin–lead(Sn–Pb) perovskite solar cells(PSCs), which are crucial components of ATSCs, are much lower than those of lead-based perovskites. The primary challenges include the high crystallization rate of perovskite materials and the susceptibility of Sn^(2+) oxidation, which leads to rough morphology and unfavorable p-type self-doping. To address these issues, we introduced ethylhydrazine oxalate(EDO) at the perovskite interface, which effectively inhibits the oxidation of Sn^(2+) and simultaneously enhances the crystallinity of the perovskite. Consequently, the EDO-modified mixed tin-lead PSCs reached a power conversion efficiency(PCE) of 21.96% with high reproducibility. We further achieved a 27.58% efficient ATSCs by using EDO as interfacial passivator in the Sn-Pb PSCs.
基金supported by the National Natural Science Foundation of China (32301930, 32071943, 32272198, and 32372214)the Major Program of the Ministry of Agriculture and Rural Affairs of China (FSNK202218080316)+3 种基金the Priority Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD-2020-01)the Jiangsu Funding Program for Excellent Postdoctoral Talent, China (2022ZB618)the Government Funding to the Chinese University of Hong Kong State Key Laboratory of Agrobiotechnology via Innovation and Technology Commission, China (2022/23–2023/24)the National Key Research and Development Program of China (2022YFD2300304)。
文摘Aligning leaf nitrogen(N) distribution to match the light gradient is crucial for maximizing canopy dry matter production(DMP) and improving N utilization efficiency. However, the relationship between the gradient of root-derived cytokinins and N distribution in rice leaves and its impact on DMP and the underlying mechanisms remains poorly understood. A two-year field experiment was conducted using two japonica N-efficient varieties(NEVs) and two japonica N-inefficient varieties(NIVs) under four different N rates(0, 90, 180, and 360 kg N ha^(-1)). These selected varieties exhibited similar values in the coefficient of light extinction(K_(L)). Results showed that at lower N rates(0–180 kg N ha^(-1)), the NEVs exhibited greater dry matter weight at maturity, higher grain yield, and improved internal N use efficiency(IE_(N)) compared to the NIVs, despite possessing comparable total N uptake. Compared with the NIVs, the NEVs exhibited a more pronounced nitrogen distribution gradient in leaves, as indicated by the coefficient of nitrogen extinction(K_(N)) values during the middle and early grain-filling stages. This enhanced gradient led to improved coordination between light and nitrogen, resulting in greater photosynthetic production, particularly at lower N rates. Furthermore, the NEVs demonstrated a larger gradient of zeatin(Z)+zeatin riboside(ZR) in leaves(i.e., higher ratios of Z+ZR levels between upper and lower leaves), enhanced expression levels of genes related to N export in lower leaves and Z+ZR loading in the root, respectively, elevated enzymes activities related to N assimilation in upper leaves, in relative to the NIVs. Correlation and random forest analyses demonstrated a strong positive correlation between the Z+ZR gradient, K_(N), and DMP, and the gradient facilitated the export of N from lower leaves and its assimilation in upper leaves, contributing significantly to both K_(N) and DMP. This process was closely linked to root activity, including root oxidation activity, root Z+ZR content, and Z+ZR loading capacity, as confirmed by applying an inhibitor or a promoter of cytokinins biosynthesis to roots. Interestingly, at the N rate of 360 kg N ha^(-1), both NEVs and NIVs showed indistinguishable plant traits, achieving a super high-yielding level(over 10.5 t ha^(-1)) but with remarkably low IE_(N). The results suggest that increasing the Z+ZR gradient can improve K_(N) and DMP, where it needs to maintain higher root activity, thus leading to high yield and high IE_(N). Further research is needed to explore and develop cultivation practices with reduced N to unlock the super-high-yielding potential of the NEVs.
基金funded by the Science and Technology Innovation Program of Hunan Province(2023NK1010,2024NK1010,2023NK2002)National Natural Science Foundation of China(U21A20208,32171927)+3 种基金Natural Science Foundation of Hunan Province(2025JJ30010,2023JJ40318)Guangdong Basic and Applied Basic Research Foundation(2022A1515111230)Shenzhen Science and Technology Program(JCYJ20220531103803008)the Hong Kong Research Grant Council(Ao E/M-05/12,Ao E/M-403/16,GRF12102423,12101722,12105824)。
文摘Low-temperature(LT)stress is a significant abiotic stress in rice growth,especially under direct seeding cultivation,where low temperatures can significantly affect seed germination and seedling growth of direct-seeded rice,thereby impacting the final yield of rice.In this study,we have identified a trehalose synthesis pathway gene,trehalose-6-phosphate phosphatase 3(Os TPP3),involved in the regulation of low-temperature(LT)germination in rice,as well as its upstream regulatory factor,the ABA signaling pathway gene OsbZIP23.LT stress induced the accumulation of ABA by upregulating the expression of Os NCED3.Consistently,the overexpression of Os NCED3 significantly inhibited seed germination under LT.RT-q PCR experiments found that the expression of OsbZIP23 was also significantly induced under LT stress and ABA treatment.Overexpression of OsbZIP23 has increased the sensitivity to LT stress of rice seed,resembling the phenotype of Os NCED3 overexpressing seeds.Furthermore,both LT stress and exogenous ABA treatment increased the trehalose content in WT seeds by upregulating the expression of Os TPP3.Enhancing the expression of Os TPP3 or application of exogenous trehalose have significantly increased the sensitivity to LT stress during seed germination.Transcriptional activation and yeast one-hybrid assays demonstrated that OsbZIP23 bound to the promoter of Os TPP3 and activated its expression,which was intensified by LT stress or the application of ABA.Our study discovered an ABAdependent OsbZIP23–Os TPP3 module that responds to LT stress,inhibiting seed germination under LT conditions by increasing trehalose accumulation,thus might balance the growth and stress resistance and provide a new insight into the genetic improvement of rice cultivars with better LT germination performance.
基金supported by the National Key Research and Development Program of China(2022YFB3603100).
文摘Polyimides(PIs)are widely used in the microelectronics field due to their excellent comprehensive performance and the diversity and designability of their structures.In flexible substrate applications,designing the molecular structure to balance thermodynamic and optical properties is the most critical part of the PI design process.To accelerate the discovery of high-performance PIs,we established predictive models for glass transition temperature(T_(g)),cut-off wavelength(CW),and coefficient of thermal expansion(CTE)using various machine learning algorithms.The optimal predictive models for the three properties demonstrated high accuracy and stability in both test set predictions and cross-validation results.Additionally,the interpretability of the three optimal models was analyzed using the SHAP method,and the accuracy and generalization ability of the models were validated using several novel PIs.By combining the three models,predictions were made for multiple PIs,leading to the selection and synthesis of PIs with excellent comprehensive performance.135 novel PIs were designed and their key properties were obtained without the need for experimental verification.The predictive models established in this study can assist researchers in quickly determining the T_(g),CW and CTE of PIs,thereby facilitating the swift identification of promising candidates for further development.
文摘Background:Sensitive skin affects a substantial portion of the global population and has significant implications for skin health and well-being.In addition to unpleasant sensory effects,individuals with sensitive skin were likely to be more susceptible to hyperpigmentation.However,the association between sensitive skin and hyperpigmentation,as well as the underlying molecular mechanisms,remain unclear.Objective:This study aims to investigate the correlation and intrinsic mechanisms between sensitive skin and hyperpigmentation through network pharmacology combined with molecular docking.Materials and Methods:The targets associated with sensitive skin and hyperpigmentation were collected from the human gene database,GeneCards.Subsequently,the protein-protein interaction(PPI)network,Kyoto Encyclopedia of Genes and Genomes(KEGG),and Gene Ontology(GO)enrichment analysis were performed to explore the biological connections between sensitive skin and hyperpigmentation.Additionally,the targets of 15 active compounds with reported lightening effects were collected from TCMSP,BATMAN and SymMap databases.Target analysis and molecular docking were performed to identify potential candidates for addressing hyperpigmentation on sensitive skin.The anti-melanogenesis effect of the identified candidate was verified in B16F10 cells.Results:A total of 16971 sensitive skin targets and 11382 hyperpigmentation targets were screened,and 9693 overlapping targets were identified,with a core set comprising 164 targets.The combination of PPI network,KEGG and GO analysis revealed the key role of tyrosinase and immune-mediated inflammation in pigmentation on sensitive skin.Among the 15 active compounds,oxyresveratrol was identified as having a high correlation with the core set targets and predicted strong inhibition of Tyrosine-protein Kinase Kit.The application of oxyresveratrol exhibited a dose-dependent suppression of melanin production in B16F10 cells.Conclusion:This study suggested the crucial roles of immune-mediated inflammation in sensitive skin and hyperpigmentation,as well as highlighted the potential of oxyresveratrol in addressing hyperpigmentation on sensitive skin.These comprehensive findings provide a deeper understanding of the connection mechanism between sensitive skin and hyperpigmentation,offering new insights for the development of targeted treatments and interventions.
基金the financial support given by National Natural Science Foundation of China(52227808,62202285)the National Science Foundation for Distinguished Young Scholars of China(51725505)+1 种基金the Development Fund for Shanghai Talents(No.2021003)Shanghai Collaborative Innovation Center of Intelligent Perception Chip Technology。
文摘Neuromorphic devices,inspired by the intricate architecture of the human brain,have garnered recognition for their prodigious computational speed and sophisticated parallel computing capabilities.Vision,the primary mode of external information acquisition in living organisms,has garnered substantial scholarly interest.Notwithstanding numerous studies simulating the retina through optical synapses,their applications remain circumscribed to single-mode perception.Moreover,the pivotal role of temperature,a fundamental regulator of biological activities,has regrettably been relegated to the periphery.To address these limitations,we proffer a neuromorphic device endowed with multimodal perception,grounded in the principles of light-modulated semiconductors.This device seamlessly accomplishes dynamic hybrid visual and thermal multimodal perception,featuring temperature-dependent paired pulse facilitation properties and adaptive storage.Crucially,our meticulous examination of transfer curves,capacitance–voltage(C–V)tests,and noise measurements provides insights into interface and bulk defects,elucidating the physical mechanisms underlying adaptive storage and other functionalities.Additionally,the device demonstrates a variety of synaptic functionalities,including filtering properties,Ebbinghaus curves,and memory applications in image recognition.Surprisingly,the digital recognition rate achieves a remarkable value of 98.8%.
基金supported by National Natural Science Foundation of China(92263109,52305607 and 61904188)the Shanghai Rising-Star Program(22QA1410400)+1 种基金the Natural Science Foundation of Shanghai(23ZR1472200)the Medical Innovation Research Program of Shanghai Science and Technology Innovation Action Plan(Grant No.24DX2800100)。
文摘Over recent decades,carbon-based chemical sensor technologies have advanced significantly.Nevertheless,significant opportunities persist for enhancing analyte recognition capabilities,particularly in complex environments.Conventional monovariable sensors exhibit inherent limitations,such as susceptibility to interference from coexisting analytes,which results in response overlap.Although sensor arrays,through modification of multiple sensing materials,offer a potential solution for analyte recognition,their practical applications are constrained by intricate material modification processes.In this context,multivariable chemical sensors have emerged as a promising alternative,enabling the generation of multiple outputs to construct a comprehensive sensing space for analyte recognition,while utilizing a single sensing material.Among various carbon-based materials,carbon nanotubes(CNTs)and graphene have emerged as ideal candidates for constructing high-performance chemical sensors,owing to their well-established batch fabrication processes,superior electrical properties,and outstanding sensing capabilities.This review examines the progress of carbon-based multivariable chemical sensors,focusing on CNTs/graphene as sensing materials and field-effect transistors as transducers for analyte recognition.The discussion encompasses fundamental aspects of these sensors,including sensing materials,sensor architectures,performance metrics,pattern recognition algorithms,and multivariable sensing mechanism.Furthermore,the review highlights innovative multivariable extraction schemes and their practical applications when integrated with advanced pattern recognition algorithms.
基金2022 Inner Mongolia Autonomous Region Health and Wellness Science and Technology Program Project(Project No.:202201533)。
文摘Patients with acute exacerbation of chronic obstructive pulmonary disease(COPD)often suffer from respiratory failure and require respiratory support therapy.High-flow nasal cannula oxygen therapy(HFNC)and non-invasive positive pressure ventilation(NIPPV)are commonly used non-invasive respiratory support methods.HFNC can provide precisely heated and humidified high-flow oxygen,reducing dead space and increasing alveolar ventilation.NIPPV can supply stable high-concentration oxygen and improve gas exchange.This article reviews the application of HFNC and NIPPV in the acute exacerbation stage of COPD,aiming to provide references for reasonable clinical selection.
基金supported by the National Natural Science Foundation of China(NSFC)(No.52301257,62475003)the Beijing Natural Science Foundation(No.2252031)。
文摘Prussian blue analogues(PBAs)have emerged as highly promising cathode materials for sodium-ion batteries(SIBs)due to their simple synthesis,low cost,structural tunability,and high theoretical capacity.However,despite their significant potential,practical applications of PBAs still face multiple performance limitations.This review provides a comprehensive examination of PBAs structures and their electrochemical reaction mechanisms,and systematically summarizes current synthesis methods and modification strategies,while offering forward-looking insights.Furthermore,from the perspective of industrialization,this review systematically analyzes the synthesis,modification,and core challenges of PBAs by comparatively evaluating the feasibility of different technological pathways based on multiple dimensions,including cost-effectiveness,process scalability,environmental impact,and supply chain security,with the aim of providing forward-looking guidance for bridging the critical gap from lab to market.
基金supported in part by the Young Scientists Fund of the National Natural Science Foundation of China(No.62201087)in part by the National Natural Science Foundation of China(No.62525101,62341128)+3 种基金in part by the National Key R&D Program of China(No.2023YFB2904803)in part by the Guangdong Major Project of Basic and Applied Basic Research(No.2023B0303000001)in part by the Beijing Natural Science Foundation(No.L243002)in part by the Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint innovation Center.
文摘Integrated Sensing and Communication(ISAC)is considered a key technology in 6G networks.An accurate sensing channel model is crucial for the design and sensing performance evaluation of ISAC systems.The widely used Geometry-Based Stochastic Model(GBSM),typically applied in standardized channel modeling,mainly focuses on the statistical fading characteristics of the channel.However,it fails to capture the characteristics of targets in ISAC systems,such as their positions and velocities,as well as the impact of the targets on the background.To address this issue,this paper proposes an Extended-GBSM(E-GBSM)sensing channel model that incorporates newly discovered channel characteristics into a unified modeling framework.In this framework,the sensing channel is divided into target and background channels.For the target channel,the model introduces a concatenated modeling approach,while for the background channel,a parameter called the power control factor is introduced to assess impact of the target on the background channel,making the modeling framework applicable to both mono-static and bi-static sensing modes.To validate the proposed model’s effectiveness,measurements of target and background channels are conducted across a wide range of indoor and outdoor scenarios,covering various sensing targets such as metal plates,reconfigurable intelligent surfaces,human bodies,unmanned aerial vehicles,and vehicles.The experimental results provide important theoretical support and empirical data for the standardization of ISAC channel modeling.
基金Shandong Province Traditional Chinese Medicine Science and Technology Project Task Book Number(Project No.:M-2022178)2024 Shandong Provincial Traditional Chinese Medicine Science and Technology Project(Project No.:Z20242407)。
文摘Objective:To study the therapeutic effect of the Extract of Wuwei Xiaodu Drink on spinal infection and provide the scientific basis for clinical application.Methods:By establishing a rabbit model of spinal infection,this paper observed and analyzed the changes in body mass before and after the intervention and the comparison of inflammation-related factors and blood leukocyte counts among the three groups.Results:There was a significant difference in the changes in body mass of rabbits before and after intervention in the experimental group,control group and blank group(P<0.05);there was no statistically significant difference in calcitoninogen,C-reactive protein and routine blood leukocyte counts between the experimental group and the control group(P>0.05),and there was a statistically significant difference in calcitoninogen,C-reactive protein and routine blood leukocyte counts between the experimental group and the blank group(P<0.05).Conclusion:The Extract of Wuwei Xiaodu Drink can play a protective role by regulating the level of inflammatory factors in blood routine leukocyte count and reducing the inflammatory reaction in the spinal cord injury area.
文摘The ultimate pit may affect other aspects in the life of a mine such as economical, technical, environmental, and social aspects. What makes it even more complex is that most often there are many pits which are economically minable. This calls for a heuristic approach to determine which of these pits is the ultimate pit. This study presents a means of selecting an ultimate pit during design operations of the Hebei Limestone mine. During optimization processes of the mine, many pit shells were created using Whittle Software. Normally, Whittle Software optimizes these processes and assigns a revenue factor of 1 for the ultimate pit. Unfortunately, the pit shells created did not satisfy the criteria with a revenue factor of 1 based on the parameters. As a result of this, statistical analysis was implemented to further understand the relationship, variability, and correlation of the pit shells created (data). Correlation Analysis, K-means++ Analysis, Principal Component Analysis, and Generalized Linear models were used in the analysis of the pit shells created. The results portray a salient relationship of the optimization variables. In addition, the proposed method was tested on Whittle Sample projects which satisfy the selection of ultimate pit selection with a revenue factor of 1. The results show that the proposed model produced almost the same results as the Whittle model with a revenue factor of 1 and was also able to determine the ultimate pit in cases which did not satisfy the Whittle selection criteria.
文摘The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has met the engineering requirements on the ground will change, seriously affecting the imaging quality. In order to eliminate the influence of gravity and to ensure the consistency of space and ground, gravity unloading must be performed. In order to meet the requirements of processing and testing for the large aperture space mirror in the state of vertical optical axis, a universal gravity unloading device was proposed. It was an active support and used air cylinders to provide accurate unloading force. First, the design flow of gravity unloading was introduced;then the detailed design of the mechanical structure and control system was given;then the performance parameters of the two types of cylinders were tested and compared, including the force-pressure relationship curve and the force-position relationship curve;finally, the experimental verification of the gravity unloading device was carried out;for a mirror with an aperture of ?2100 mm, the gravity unloading device was designed and a vertical detection optical path was built. The test results showed that by using this gravity unloading device, the actual processing surface accuracy of the mirror was better than 1/50λ-RMS, which met the application requirement of the optical system. Thus, it can be seen that using this gravity unloading device can effectively unload the gravity of the mirror and realize the accurate processing and measurement of the mirror surface. .
基金supported in part by National Natural Science Foundation of China (61322110, 6141101115)Doctoral Fund of Ministry of Education (201300051100013)
文摘Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big volume feature,considering the massive antennas,huge bandwidth and versatile application scenarios.This article firstly presents a comprehensive survey of channel measurement and modeling research for mobile communication,especially for 5th Generation(5G) and beyond.Considering the big data research progress,then a cluster-nuclei based model is proposed,which takes advantages of both the stochastical model and deterministic model.The novel model has low complexity with the limited number of cluster-nuclei while the cluster-nuclei has the physical mapping to real propagation objects.Combining the channel properties variation principles with antenna size,frequency,mobility and scenario dug from the channel data,the proposed model can be expanded in versatile application to support future mobile research.
