High-dimensional data causes difficulties in machine learning due to high time consumption and large memory requirements.In particular,in amulti-label environment,higher complexity is required asmuch as the number of ...High-dimensional data causes difficulties in machine learning due to high time consumption and large memory requirements.In particular,in amulti-label environment,higher complexity is required asmuch as the number of labels.Moreover,an optimization problem that fully considers all dependencies between features and labels is difficult to solve.In this study,we propose a novel regression-basedmulti-label feature selectionmethod that integrates mutual information to better exploit the underlying data structure.By incorporating mutual information into the regression formulation,the model captures not only linear relationships but also complex non-linear dependencies.The proposed objective function simultaneously considers three types of relationships:(1)feature redundancy,(2)featurelabel relevance,and(3)inter-label dependency.These three quantities are computed usingmutual information,allowing the proposed formulation to capture nonlinear dependencies among variables.These three types of relationships are key factors in multi-label feature selection,and our method expresses them within a unified formulation,enabling efficient optimization while simultaneously accounting for all of them.To efficiently solve the proposed optimization problem under non-negativity constraints,we develop a gradient-based optimization algorithm with fast convergence.Theexperimental results on sevenmulti-label datasets show that the proposed method outperforms existingmulti-label feature selection techniques.展开更多
Background:Panacis Quinquefolii Radix(PQR)is known for its ability to nourish“Qi”(it serves as the driving force for the functional activities of the body’s organs and meridians,promoting and regulating various phy...Background:Panacis Quinquefolii Radix(PQR)is known for its ability to nourish“Qi”(it serves as the driving force for the functional activities of the body’s organs and meridians,promoting and regulating various physiological functions)and“Yin”(it represents the material foundation of the human body.It plays a role in nourishing,moistening,and cooling the body).Notoginseng Radix et Rhizoma(NRR)is recognized for its properties of resolving blood stasis(it refers to a pathological condition characterized by impaired or stagnant blood circulation within the body).Changes in the compatibility ratio of these herbs often lead to variations in their chemical composition and efficacy.However,the specific alterations in chemical composition and efficacy resulting from compatibility adjustments remain unclear.We aimed to compare the material basis and their effects of different compatibility ratios of PQR and NRR on“Qi”deficiency and blood stasis syndrome(QBS).Methods:This study employed UPLC-Q/TOF-MS to identify effective compounds in the compatibility of PQR and NRR and utilized UPLC-TQ-MS/MS to analyze the dissolution of 16 saponins in PQR and NRR at 9 different ratios.A rat model of QBS was established,and the efficacy of PQR and NRR in treating this syndrome was assessed using hemorheology and coagulation analyses.Results:The study results show that PQR and NRR exhibit significant efficacy,effectively reducing blood viscosity induced by platelet aggregation and lowering inflammatory markers such as IL-6,IL-10,TXB2 and ET associated with vascular injury.Moreover,this combination regulates ATP and ADP levels,enhances energy metabolism,and promotes overall health.A total of 104 compounds in the compatibility of PQR and NRR were identified.The ratios of 1:2 and 1:3 showed the highest total saponin content,but the ratio of 1:1 demonstrated a superior pharmacological effect for the treatment of QBS.Conclusion:In summary,the compatibility of PQR and NRR not only shows the complex interactions between traditional Chinese medicinal materials,but also provides a new idea and method for the treatment of QBS.展开更多
1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography, natural resources, environmental sciences, geographic inf...1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography, natural resources, environmental sciences, geographic information sciences, remote sensing and cartography. Manuscripts come from different parts of the world.展开更多
Slope units are divided according to the real topography and have clear geological characteristics,making them ideal units for evaluating the susceptibility to geological disasters.Based on the results of automaticall...Slope units are divided according to the real topography and have clear geological characteristics,making them ideal units for evaluating the susceptibility to geological disasters.Based on the results of automatically and manually corrected hydrological slope unit division,the Longhua District,Shenzhen City,Guangdong Province,was selected as the study area.A total of 15 influencing factors,namely Fluctuation,slope,slope aspect,curvature,topographic witness index(TWI),stream power index(SPI),topographic roughness index(TRI),annual average rainfall,distance to water system,engineering rock group,distance to fault,land use,normalized difference vegetation index(NDVI),nighttime light,and distance to road,were selected as evaluation indicators.The information volume model(IV)and random points were used to select non-geological disaster units,and then the random forest model(RF)was used to evaluate the susceptibility to geological disasters.The automatic slope unit and the hydrological slope unit were compared and analyzed in the random forest and information volume random forest models.The results show that the area under the curve(AUC)values of the automatic slope unit evaluation results are 0.931 for the IV-RF model and 0.716 for the RF model,which are 0.6%(IV-RF model)and 1.9%(RF model)higher than those for the hydrological slope unit.Based on a comparison of the evaluation methods based on the two types of slope units,the hydrological slope unit evaluation method based on manual correction is highly subjective,is complicated to operate,and has a low evaluation accuracy,whereas the evaluation method based on automatic slope unit division is efficient and accurate,is suitable for large-scale efficient geological disaster evaluation,and can better deal with the problem of geological disaster susceptibility evaluation.展开更多
With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State I...With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.展开更多
The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To...The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To develop an efficient flow field reconstruction model for this,we present an Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN),which integrates Conditional Denoising Diffusion Probabilistic Models(CDDPMs)with Style GAN,and introduce a reconstruction discrimination mechanism and dynamic loss weight learning strategy.We establish the Mach number flow field dataset by numerical simulation at various backpressures for the mode transition process from turbine mode to ejector ramjet mode at Mach number 2.5.The proposed ICDDGAN model,given only sparse parameter information,can rapidly generate high-quality Mach number flow fields without a large number of samples for training.The results show that ICDDGAN is superior to CDDGAN in terms of training convergence and stability.Moreover,the interpolation and extrapolation test results during backpressure conditions show that ICDDGAN can accurately and quickly reconstruct Mach number fields at various tunnel slice shapes,with a Structural Similarity Index Measure(SSIM)of over 0.96 and a Mean-Square Error(MSE)of 0.035%to actual flow fields,reducing time costs by 7-8 orders of magnitude compared to Computational Fluid Dynamics(CFD)calculations.This can provide an efficient means for rapid computation of complex flow fields.展开更多
Developing advanced stealth devices to cope with radar-infrared(IR)fusion detection and diverse application scenarios is increasingly demanded,which faces significant challenges due to conflicting microwave and IR clo...Developing advanced stealth devices to cope with radar-infrared(IR)fusion detection and diverse application scenarios is increasingly demanded,which faces significant challenges due to conflicting microwave and IR cloaking mechanisms and functional integration limitations.Here,we propose a multiscale hierarchical structure design,integrating wrinkled MXene IR shielding layer and flexible Fe_(3)O_(4)@C/PDMS microwave absorption layer.The top wrinkled MXene layer induces the intensive diffuse reflection effect,shielding IR radiation signals while allowing microwave to pass through.Meanwhile,the permeable microwaves are assimilated into the bottom Fe_(3)O_(4)@C/PDMS layer via strong magneto-electric synergy.Through theoretical and experimental optimization,the assembled stealth devices realize a near-perfect stealth capability in both X-band(8–12 GHz)and long-wave infrared(8–14μm)wavelength ranges.Specifically,it delivers a radar cross-section reduction of−20 dB m^(2),a large apparent temperature modulation range(ΔT=70℃),and a low average IR emissivity of 0.35.Additionally,the optimal device demonstrates exceptional curved surface conformability,self-cleaning capability(contact angle≈129°),and abrasion resistance(recovery time≈5 s).This design strategy promotes the development of multispectral stealth technology and reinforces its applicability and durability in complex and hostile environments.展开更多
Objective This study aimed to study the effects of different crystalline states of Sheng Shigao(raw gypsum,RG)and its inorganic elements on the antipyretic efficacy of Baihu Decoction(BHT).Methods RG samples calcined ...Objective This study aimed to study the effects of different crystalline states of Sheng Shigao(raw gypsum,RG)and its inorganic elements on the antipyretic efficacy of Baihu Decoction(BHT).Methods RG samples calcined at different temperatures were prepared.The phase composition of RG and Duan Shigao(calcination of gypsum,CG)as well as the changes in phase composition before and after adding water to RG calcined at specific temperatures,were determined using X-ray diffraction(XRD).A fever model was established by subcutaneously injecting 20%yeast suspension(10 mL·kg~(-1))into the backs of rats.The effects of BHT containing RG in different crystalline states on rat body temperature were measured.Serum levels of IL-1β,IL-6,and hypothalamic prostaglandin E2(PGE_2)were detected using ELISA.Serum Ca~(2+)levels were measured using a microplate method.The content of trace elements in RG and CG and the corresponding freeze-dried BHT powder was determined using inductively coupled plasma mass spectrometry(ICP-MS).The complexation of representative inorganic elements with mangiferin,a major active component in BHT,was investigated using UV-Vis spectroscopy and fluorescence spectroscopy.A validation model was established using RAW264.7 mouse macrophages.Drug-containing serum of BHT with different inorganic elements was prepared,and the nitric oxide(NO)levels in the cell supernatant of different treatment groups were measured using the Griess method.The mRNA levels of IL-6,TNF-α,and PGE2in each group were detected using qPCR(real-time fluorescent quantitative PCR).Results After calcination,the phase composition of RG changed,and the content of inorganic elements in RG,CG170(RG calcined at 170°C),and CG350(RG calcined at 350°C)showed similar trends.Compared with RG,the content of Ca,Sr,Al,and Na in CG changed significantly.Compared with BHT,the content of Ca,Sr,Si,and Na in CG changed significantly when incorporated into the formula.Intermolecular interactions confirmed strong binding between mangiferin and Cu~(2+)and Al~(3+).Cu~(2+)and Fe~(3+)exhibited fluorescence quenching effects on mangiferin solution,while Al~(3+)and Zn~(2+)showed strong fluorescence enhancement,with fluorescence intensity increasing by 120-fold and 30-fold,respectively.In vitro evaluation of synergistic anti-inflammatory effects confirmed that Ca,Fe,Cr,Al,and Si exhibited synergistic anti-inflammatory effects.Conclusion The crystalline state of RG has little effect on its antipyretic properties,while Ca,Sr,Na,Fe,and Al are likely the key material bases influencing its efficacy.展开更多
With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration wi...With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.展开更多
Grafting is widely used in cucumbers to enhance their tolerance to environmental stress.Compatibility is a key factor for successful grafting,however,the physiological mechanisms that affect grafting compatibility are...Grafting is widely used in cucumbers to enhance their tolerance to environmental stress.Compatibility is a key factor for successful grafting,however,the physiological mechanisms that affect grafting compatibility are not clear.This study aimed to investigate the physiological mechanism underlying cucumber/pumpkin grafting compatibility.Two pumpkin cultivars with significant differences in compatibility,Figleaf gourd(compatible rootstock,Cf)and Dongyangshenli(incompatible rootstock,Cmo),were used as rootstocks.Three cucumber cultivars with different growth rates were used as scions,including cucumber‘Shenluchunsi’(strong growth,V1),‘Cuilü’(weak growth,V2),and‘Liangyoulüjian 102’(medium growth,V3).Six grafting combinations(V1/Cf,V2/Cf,V3/Cf,V1/Cmo,V2/Cmo,and V3/Cmo)were used to analyze the effect of scion and rootstock varieties,as well as the chemical composition of the exudate from the stem cutting surface,on the compatibility of grafted plants.Here,we found that rootstock was closely correlated with the compatibility of cucumber/pumpkin grafted plants.The sucrose content in the exudate of the stem,enzyme activity,and the expression of genes related to sucrose biosynthesis in Cmo were significantly higher than those in Cf.Correlation analysis showed that the sucrose content difference between the exudate of rootstock and scion stems was negatively correlated with graft compatibility.Exogenous treatment with a 0.5%sucrose solution on the scions significantly reduced the difference in sucrose content between rootstock and scion and enhanced graft survival rate in the incompatible combination.The stem segment grafting experiment in vitro found that the high difference in sucrose concentration between the rootstock and scion decreased the grafting compatibility of cucumber/pumpkin by reducing the adhesion of the cutting surface.Taken together,the higher sucrose concentration difference between rootstock and scion decreased the adhesion of the cutting surface,resulting in the incompatibility of cucumber/pumpkin grafted plants.展开更多
Background The pink bollworm(Pectinophora gossypiella,PBW)is a major cotton pest,causing economic losses by damaging seeds and fiber.Cotton growers typically use systemic and broad-spectrum insecticides for its manage...Background The pink bollworm(Pectinophora gossypiella,PBW)is a major cotton pest,causing economic losses by damaging seeds and fiber.Cotton growers typically use systemic and broad-spectrum insecticides for its manage-ment,which pose risks to human health and the environment.Consequently,there is a need for eco-friendly alterna-tives.This study evaluates the bio-efficacy of the entomopathogenic fungus Metarhizium anisopliae strain TMBMA1 against pink bollworm and assesses its compatibility with major insecticides.Additionally,to comprehend the dynam-ics of colonization and the infection processes of entomopathogenic fungi(EPF),scanning electron microscopy(SEM)of infected larvae was carried out.Result We challenged the second instar PBW larvae to eight different concentrations(1×10^(3) to 1×10^(10) conidia mL^(-1))of an M.anisopliae strain TMBMA1.The highest mortality(100%)occurred at the higher concentrations i.e.,1×109 and 1×10^(10) spores mL^(-1),while the lowest mortality rate(46.6%)was observed at 1×10^(3) spores mL^(-1) con-centration compared to control(3.33%).TMBMA1’s biocontrol efficacy was validated by Probit analysis,exhibiting an exceptionally low median lethal concentration(LC50)value of 7.1×10^(5).The comparative evaluation revealed that the M.anisopliae strain TMBMA1 performed excellently with insecticide[Cypermethrin 10%(volume fraction)emulsifiable concentrate(EC)at 1 mL·L^(-1) water]giving 100%mortality,both being superior to a commercial prod-uct of M.anisopliae(60%).According to SEM analysis,the EPF strain was profusely colonized on both the internal and external surfaces of PBW larvae.Compatibility studies with insecticides revealed>98%and>96%reduction in the sporulation of M.anisopliae due to the treatment of Emamectin Benzoate 1.5%(mass fraction)+Profenofos 35%(mass fraction)water dispersible granules(WDG)and Profenofos 50%EC,respectively.In contrast,Cypermethrin 10%EC,Emamectin Benzoate 5%(mass fraction)Soluble Granules and Neem Seed Kernel Extract(NSKE)0.15%(volume fraction)treatments reported lower reduction(11.45%,13.79%and 21.21%respectively)in spore production.Conclusion According to the current investigations,the M.anisopliae strain TMBMA1 exhibits high virulence against PBW and offers a promising eco-friendly solution for managing this pest.It shows significant potential to pro-liferate on both external and internal surfaces of PBW.This strain can be integrated into PBW management programs with chemical insecticides,improving pest control and lessening environmental impact.展开更多
Traditional Chinese medicine(TCM)features complex compatibility mechanisms involving multicomponent,multi-target,and multi-pathway interactions.This study presents an interpretable graph artificial intelligence(GraphA...Traditional Chinese medicine(TCM)features complex compatibility mechanisms involving multicomponent,multi-target,and multi-pathway interactions.This study presents an interpretable graph artificial intelligence(GraphAI)framework to quantify such mechanisms in Chinese herbal formulas(CHFs).A multidimensional TCM knowledge graph(TCM-MKG;https://zenodo.org/records/13763953)was constructed,integrating seven standardized modules:TCM terminology,Chinese patent medicines(CPMs),Chinese herbal pieces(CHPs),pharmacognostic origins(POs),chemical compounds,biological targets,and diseases.A neighbor-diffusion strategy was used to address the sparsity of compound-target associations,increasing target coverage from 12.0%to 98.7%.Graph neural networks(GNNs)with attention mechanisms were applied to 6,080 CHFs,modeled as graphs with CHPs as nodes.To embed domain-specific semantics,virtual nodes medicinal properties,i.e.,therapeutic nature,flavor,and meridian tropism,were introduced,enabling interpretable modeling of inter-CHP relationships.The model quantitatively captured classical compatibility roles such as“monarch-minister-assistant-guide”,and uncovered TCM etiological types derived from diagnostic and efficacy patterns.Model validation using 215 CHFs used for coronavirus disease 2019(COVID-19)management highlighted Radix Astragali-Rhizoma Phragmitis as a high-attention herb pair.Mass spectrometry(MS)and target prediction identified three active compounds,i.e.,methylinissolin-3-O-glucoside,corydalin,and pingbeinine,which converge on pathways such as neuroactive ligand-receptor interaction,xenobiotic response,and neuronal function,supporting their neuroimmune and detoxification potential.Given their high safety and dietary compatibility,this herb pair may offer therapeutic value for managing long COVID-19.All data and code are openly available(https://github.com/ZENGJingqi/GraphAI-for-TCM),providing a scalable and interpretable platform for TCM mechanism research and discovery of bioactive herbal constituents.展开更多
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS-2020-NR049579).
文摘High-dimensional data causes difficulties in machine learning due to high time consumption and large memory requirements.In particular,in amulti-label environment,higher complexity is required asmuch as the number of labels.Moreover,an optimization problem that fully considers all dependencies between features and labels is difficult to solve.In this study,we propose a novel regression-basedmulti-label feature selectionmethod that integrates mutual information to better exploit the underlying data structure.By incorporating mutual information into the regression formulation,the model captures not only linear relationships but also complex non-linear dependencies.The proposed objective function simultaneously considers three types of relationships:(1)feature redundancy,(2)featurelabel relevance,and(3)inter-label dependency.These three quantities are computed usingmutual information,allowing the proposed formulation to capture nonlinear dependencies among variables.These three types of relationships are key factors in multi-label feature selection,and our method expresses them within a unified formulation,enabling efficient optimization while simultaneously accounting for all of them.To efficiently solve the proposed optimization problem under non-negativity constraints,we develop a gradient-based optimization algorithm with fast convergence.Theexperimental results on sevenmulti-label datasets show that the proposed method outperforms existingmulti-label feature selection techniques.
基金funded by the Entrusted service project of Shaanxi Administration of Traditional Chinese Medicine(ZYJXG-L23001)2023 Sanqin Talent Special Support Program Innovation and Entrepreneurship Team Project,and Sci-Tech Innovation Talent System Construction Program of Shaanxi University of Chinese Medicine(2023).
文摘Background:Panacis Quinquefolii Radix(PQR)is known for its ability to nourish“Qi”(it serves as the driving force for the functional activities of the body’s organs and meridians,promoting and regulating various physiological functions)and“Yin”(it represents the material foundation of the human body.It plays a role in nourishing,moistening,and cooling the body).Notoginseng Radix et Rhizoma(NRR)is recognized for its properties of resolving blood stasis(it refers to a pathological condition characterized by impaired or stagnant blood circulation within the body).Changes in the compatibility ratio of these herbs often lead to variations in their chemical composition and efficacy.However,the specific alterations in chemical composition and efficacy resulting from compatibility adjustments remain unclear.We aimed to compare the material basis and their effects of different compatibility ratios of PQR and NRR on“Qi”deficiency and blood stasis syndrome(QBS).Methods:This study employed UPLC-Q/TOF-MS to identify effective compounds in the compatibility of PQR and NRR and utilized UPLC-TQ-MS/MS to analyze the dissolution of 16 saponins in PQR and NRR at 9 different ratios.A rat model of QBS was established,and the efficacy of PQR and NRR in treating this syndrome was assessed using hemorheology and coagulation analyses.Results:The study results show that PQR and NRR exhibit significant efficacy,effectively reducing blood viscosity induced by platelet aggregation and lowering inflammatory markers such as IL-6,IL-10,TXB2 and ET associated with vascular injury.Moreover,this combination regulates ATP and ADP levels,enhances energy metabolism,and promotes overall health.A total of 104 compounds in the compatibility of PQR and NRR were identified.The ratios of 1:2 and 1:3 showed the highest total saponin content,but the ratio of 1:1 demonstrated a superior pharmacological effect for the treatment of QBS.Conclusion:In summary,the compatibility of PQR and NRR not only shows the complex interactions between traditional Chinese medicinal materials,but also provides a new idea and method for the treatment of QBS.
文摘1 General information Journal of Geographical Sciences is an international academic journal that publishes papers of the highest quality in physical geography, natural resources, environmental sciences, geographic information sciences, remote sensing and cartography. Manuscripts come from different parts of the world.
文摘Slope units are divided according to the real topography and have clear geological characteristics,making them ideal units for evaluating the susceptibility to geological disasters.Based on the results of automatically and manually corrected hydrological slope unit division,the Longhua District,Shenzhen City,Guangdong Province,was selected as the study area.A total of 15 influencing factors,namely Fluctuation,slope,slope aspect,curvature,topographic witness index(TWI),stream power index(SPI),topographic roughness index(TRI),annual average rainfall,distance to water system,engineering rock group,distance to fault,land use,normalized difference vegetation index(NDVI),nighttime light,and distance to road,were selected as evaluation indicators.The information volume model(IV)and random points were used to select non-geological disaster units,and then the random forest model(RF)was used to evaluate the susceptibility to geological disasters.The automatic slope unit and the hydrological slope unit were compared and analyzed in the random forest and information volume random forest models.The results show that the area under the curve(AUC)values of the automatic slope unit evaluation results are 0.931 for the IV-RF model and 0.716 for the RF model,which are 0.6%(IV-RF model)and 1.9%(RF model)higher than those for the hydrological slope unit.Based on a comparison of the evaluation methods based on the two types of slope units,the hydrological slope unit evaluation method based on manual correction is highly subjective,is complicated to operate,and has a low evaluation accuracy,whereas the evaluation method based on automatic slope unit division is efficient and accurate,is suitable for large-scale efficient geological disaster evaluation,and can better deal with the problem of geological disaster susceptibility evaluation.
基金supported by National Natural Science Foundation of China(NSFC)under grant U23A20310.
文摘With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.
文摘The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To develop an efficient flow field reconstruction model for this,we present an Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN),which integrates Conditional Denoising Diffusion Probabilistic Models(CDDPMs)with Style GAN,and introduce a reconstruction discrimination mechanism and dynamic loss weight learning strategy.We establish the Mach number flow field dataset by numerical simulation at various backpressures for the mode transition process from turbine mode to ejector ramjet mode at Mach number 2.5.The proposed ICDDGAN model,given only sparse parameter information,can rapidly generate high-quality Mach number flow fields without a large number of samples for training.The results show that ICDDGAN is superior to CDDGAN in terms of training convergence and stability.Moreover,the interpolation and extrapolation test results during backpressure conditions show that ICDDGAN can accurately and quickly reconstruct Mach number fields at various tunnel slice shapes,with a Structural Similarity Index Measure(SSIM)of over 0.96 and a Mean-Square Error(MSE)of 0.035%to actual flow fields,reducing time costs by 7-8 orders of magnitude compared to Computational Fluid Dynamics(CFD)calculations.This can provide an efficient means for rapid computation of complex flow fields.
基金financial support from the National Nature Science Foundation of China(No.52273247)the National Science and Technology Major Project of China(J2019-VI-0017-0132).
文摘Developing advanced stealth devices to cope with radar-infrared(IR)fusion detection and diverse application scenarios is increasingly demanded,which faces significant challenges due to conflicting microwave and IR cloaking mechanisms and functional integration limitations.Here,we propose a multiscale hierarchical structure design,integrating wrinkled MXene IR shielding layer and flexible Fe_(3)O_(4)@C/PDMS microwave absorption layer.The top wrinkled MXene layer induces the intensive diffuse reflection effect,shielding IR radiation signals while allowing microwave to pass through.Meanwhile,the permeable microwaves are assimilated into the bottom Fe_(3)O_(4)@C/PDMS layer via strong magneto-electric synergy.Through theoretical and experimental optimization,the assembled stealth devices realize a near-perfect stealth capability in both X-band(8–12 GHz)and long-wave infrared(8–14μm)wavelength ranges.Specifically,it delivers a radar cross-section reduction of−20 dB m^(2),a large apparent temperature modulation range(ΔT=70℃),and a low average IR emissivity of 0.35.Additionally,the optimal device demonstrates exceptional curved surface conformability,self-cleaning capability(contact angle≈129°),and abrasion resistance(recovery time≈5 s).This design strategy promotes the development of multispectral stealth technology and reinforces its applicability and durability in complex and hostile environments.
基金Joint Fund Project of the Henan Provincial Science and Technology Research and Development Plan(222301420060)。
文摘Objective This study aimed to study the effects of different crystalline states of Sheng Shigao(raw gypsum,RG)and its inorganic elements on the antipyretic efficacy of Baihu Decoction(BHT).Methods RG samples calcined at different temperatures were prepared.The phase composition of RG and Duan Shigao(calcination of gypsum,CG)as well as the changes in phase composition before and after adding water to RG calcined at specific temperatures,were determined using X-ray diffraction(XRD).A fever model was established by subcutaneously injecting 20%yeast suspension(10 mL·kg~(-1))into the backs of rats.The effects of BHT containing RG in different crystalline states on rat body temperature were measured.Serum levels of IL-1β,IL-6,and hypothalamic prostaglandin E2(PGE_2)were detected using ELISA.Serum Ca~(2+)levels were measured using a microplate method.The content of trace elements in RG and CG and the corresponding freeze-dried BHT powder was determined using inductively coupled plasma mass spectrometry(ICP-MS).The complexation of representative inorganic elements with mangiferin,a major active component in BHT,was investigated using UV-Vis spectroscopy and fluorescence spectroscopy.A validation model was established using RAW264.7 mouse macrophages.Drug-containing serum of BHT with different inorganic elements was prepared,and the nitric oxide(NO)levels in the cell supernatant of different treatment groups were measured using the Griess method.The mRNA levels of IL-6,TNF-α,and PGE2in each group were detected using qPCR(real-time fluorescent quantitative PCR).Results After calcination,the phase composition of RG changed,and the content of inorganic elements in RG,CG170(RG calcined at 170°C),and CG350(RG calcined at 350°C)showed similar trends.Compared with RG,the content of Ca,Sr,Al,and Na in CG changed significantly.Compared with BHT,the content of Ca,Sr,Si,and Na in CG changed significantly when incorporated into the formula.Intermolecular interactions confirmed strong binding between mangiferin and Cu~(2+)and Al~(3+).Cu~(2+)and Fe~(3+)exhibited fluorescence quenching effects on mangiferin solution,while Al~(3+)and Zn~(2+)showed strong fluorescence enhancement,with fluorescence intensity increasing by 120-fold and 30-fold,respectively.In vitro evaluation of synergistic anti-inflammatory effects confirmed that Ca,Fe,Cr,Al,and Si exhibited synergistic anti-inflammatory effects.Conclusion The crystalline state of RG has little effect on its antipyretic properties,while Ca,Sr,Na,Fe,and Al are likely the key material bases influencing its efficacy.
基金Under the auspices of National Natural Science Foundation of China(No.42330510)。
文摘With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.
基金supported by grants from the Gansu Provincial Science and Technology Plan Project(Grant No.22CX8NA030)the National Natural Science Foundation of China(Grant No.32272793)the China Agriculture Research System(Grant No.CARS-23).
文摘Grafting is widely used in cucumbers to enhance their tolerance to environmental stress.Compatibility is a key factor for successful grafting,however,the physiological mechanisms that affect grafting compatibility are not clear.This study aimed to investigate the physiological mechanism underlying cucumber/pumpkin grafting compatibility.Two pumpkin cultivars with significant differences in compatibility,Figleaf gourd(compatible rootstock,Cf)and Dongyangshenli(incompatible rootstock,Cmo),were used as rootstocks.Three cucumber cultivars with different growth rates were used as scions,including cucumber‘Shenluchunsi’(strong growth,V1),‘Cuilü’(weak growth,V2),and‘Liangyoulüjian 102’(medium growth,V3).Six grafting combinations(V1/Cf,V2/Cf,V3/Cf,V1/Cmo,V2/Cmo,and V3/Cmo)were used to analyze the effect of scion and rootstock varieties,as well as the chemical composition of the exudate from the stem cutting surface,on the compatibility of grafted plants.Here,we found that rootstock was closely correlated with the compatibility of cucumber/pumpkin grafted plants.The sucrose content in the exudate of the stem,enzyme activity,and the expression of genes related to sucrose biosynthesis in Cmo were significantly higher than those in Cf.Correlation analysis showed that the sucrose content difference between the exudate of rootstock and scion stems was negatively correlated with graft compatibility.Exogenous treatment with a 0.5%sucrose solution on the scions significantly reduced the difference in sucrose content between rootstock and scion and enhanced graft survival rate in the incompatible combination.The stem segment grafting experiment in vitro found that the high difference in sucrose concentration between the rootstock and scion decreased the grafting compatibility of cucumber/pumpkin by reducing the adhesion of the cutting surface.Taken together,the higher sucrose concentration difference between rootstock and scion decreased the adhesion of the cutting surface,resulting in the incompatibility of cucumber/pumpkin grafted plants.
文摘Background The pink bollworm(Pectinophora gossypiella,PBW)is a major cotton pest,causing economic losses by damaging seeds and fiber.Cotton growers typically use systemic and broad-spectrum insecticides for its manage-ment,which pose risks to human health and the environment.Consequently,there is a need for eco-friendly alterna-tives.This study evaluates the bio-efficacy of the entomopathogenic fungus Metarhizium anisopliae strain TMBMA1 against pink bollworm and assesses its compatibility with major insecticides.Additionally,to comprehend the dynam-ics of colonization and the infection processes of entomopathogenic fungi(EPF),scanning electron microscopy(SEM)of infected larvae was carried out.Result We challenged the second instar PBW larvae to eight different concentrations(1×10^(3) to 1×10^(10) conidia mL^(-1))of an M.anisopliae strain TMBMA1.The highest mortality(100%)occurred at the higher concentrations i.e.,1×109 and 1×10^(10) spores mL^(-1),while the lowest mortality rate(46.6%)was observed at 1×10^(3) spores mL^(-1) con-centration compared to control(3.33%).TMBMA1’s biocontrol efficacy was validated by Probit analysis,exhibiting an exceptionally low median lethal concentration(LC50)value of 7.1×10^(5).The comparative evaluation revealed that the M.anisopliae strain TMBMA1 performed excellently with insecticide[Cypermethrin 10%(volume fraction)emulsifiable concentrate(EC)at 1 mL·L^(-1) water]giving 100%mortality,both being superior to a commercial prod-uct of M.anisopliae(60%).According to SEM analysis,the EPF strain was profusely colonized on both the internal and external surfaces of PBW larvae.Compatibility studies with insecticides revealed>98%and>96%reduction in the sporulation of M.anisopliae due to the treatment of Emamectin Benzoate 1.5%(mass fraction)+Profenofos 35%(mass fraction)water dispersible granules(WDG)and Profenofos 50%EC,respectively.In contrast,Cypermethrin 10%EC,Emamectin Benzoate 5%(mass fraction)Soluble Granules and Neem Seed Kernel Extract(NSKE)0.15%(volume fraction)treatments reported lower reduction(11.45%,13.79%and 21.21%respectively)in spore production.Conclusion According to the current investigations,the M.anisopliae strain TMBMA1 exhibits high virulence against PBW and offers a promising eco-friendly solution for managing this pest.It shows significant potential to pro-liferate on both external and internal surfaces of PBW.This strain can be integrated into PBW management programs with chemical insecticides,improving pest control and lessening environmental impact.
基金supported by the National Natural Science Foundation of China(Grant No.:82230117).
文摘Traditional Chinese medicine(TCM)features complex compatibility mechanisms involving multicomponent,multi-target,and multi-pathway interactions.This study presents an interpretable graph artificial intelligence(GraphAI)framework to quantify such mechanisms in Chinese herbal formulas(CHFs).A multidimensional TCM knowledge graph(TCM-MKG;https://zenodo.org/records/13763953)was constructed,integrating seven standardized modules:TCM terminology,Chinese patent medicines(CPMs),Chinese herbal pieces(CHPs),pharmacognostic origins(POs),chemical compounds,biological targets,and diseases.A neighbor-diffusion strategy was used to address the sparsity of compound-target associations,increasing target coverage from 12.0%to 98.7%.Graph neural networks(GNNs)with attention mechanisms were applied to 6,080 CHFs,modeled as graphs with CHPs as nodes.To embed domain-specific semantics,virtual nodes medicinal properties,i.e.,therapeutic nature,flavor,and meridian tropism,were introduced,enabling interpretable modeling of inter-CHP relationships.The model quantitatively captured classical compatibility roles such as“monarch-minister-assistant-guide”,and uncovered TCM etiological types derived from diagnostic and efficacy patterns.Model validation using 215 CHFs used for coronavirus disease 2019(COVID-19)management highlighted Radix Astragali-Rhizoma Phragmitis as a high-attention herb pair.Mass spectrometry(MS)and target prediction identified three active compounds,i.e.,methylinissolin-3-O-glucoside,corydalin,and pingbeinine,which converge on pathways such as neuroactive ligand-receptor interaction,xenobiotic response,and neuronal function,supporting their neuroimmune and detoxification potential.Given their high safety and dietary compatibility,this herb pair may offer therapeutic value for managing long COVID-19.All data and code are openly available(https://github.com/ZENGJingqi/GraphAI-for-TCM),providing a scalable and interpretable platform for TCM mechanism research and discovery of bioactive herbal constituents.
