Metal Additive Manufacturing(MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micromechanical defects s...Metal Additive Manufacturing(MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micromechanical defects such as porosity issues, significant deformation, surface cracks, and challenging control of surface morphology encountered during the selective laser melting(SLM) additive manufacturing(AM) process of specialized Micro Electromechanical System(MEMS) components, multiparameter optimization and micro powder melt pool/macro-scale mechanical properties control simulation of specialized components are conducted. The optimal parameters obtained through highprecision preparation and machining of components and static/high dynamic verification are: laser power of 110 W, laser speed of 600 mm/s, laser diameter of 75 μm, and scanning spacing of 50 μm. The density of the subordinate components under this reference can reach 99.15%, the surface hardness can reach 51.9 HRA, the yield strength can reach 550 MPa, the maximum machining error of the components is 4.73%, and the average surface roughness is 0.45 μm. Through dynamic hammering and high dynamic firing verification, SLM components meet the requirements for overload resistance. The results have proven that MEM technology can provide a new means for the processing of MEMS components applied in high dynamic environments. The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components.展开更多
In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology bas...In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology based on the principle of high-throughput sequencing,and established a multi-locus 10 animalderived components identification method of cattle,goat,sheep,donkey,horse,chicken,duck,goose,pigeon,quail in meat and meat products.The specific loci of each species could be detected and the species could be accurately identified,including 5 loci for cattle and duck,3 loci for sheep,9 loci for chicken and horse,10 loci for goose and pigeon,6 loci for quail and 1 locus for donkey and goat,and an adulteration model was established to simulate commercially available samples.The results showed that the method established in this study had high throughput,good repeatability and accuracy,and was able to identify 10 animalderived components simultaneously with 100%repeatability accuracy.The detection limit was 0.1%(m/m)in simulated samples of chicken,duck and horse.Using the method established in this study to test commercially available samples,4 samples from 14 commercially available samples were detected to be inconsistent with the labels,of which 2 did not contain the target ingredient and 2 were adulterated with small amounts of other ingredients.展开更多
Joint roughness coefficient(JRC)is the most commonly used parameter for quantifying surface roughness of rock discontinuities in practice.The system composed of multiple roughness statistical parameters to measure JRC...Joint roughness coefficient(JRC)is the most commonly used parameter for quantifying surface roughness of rock discontinuities in practice.The system composed of multiple roughness statistical parameters to measure JRC is a nonlinear system with a lot of overlapping information.In this paper,a dataset of eight roughness statistical parameters covering 112 digital joints is established.Then,the principal component analysis method is introduced to extract the significant information,which solves the information overlap problem of roughness characterization.Based on the two principal components of extracted features,the white shark optimizer algorithm was introduced to optimize the extreme gradient boosting model,and a new machine learning(ML)prediction model was established.The prediction accuracy of the new model and the other 17 models was measured using statistical metrics.The results show that the prediction result of the new model is more consistent with the real JRC value,with higher recognition accuracy and generalization ability.展开更多
Background:Rosa chinensis Jacq.and Rosa rugosa Thunb.are not only of ornamental value,but also edible flowers and the flower buds have been listed in the Chinese Pharmacopoeia as traditional medicines.The two plants h...Background:Rosa chinensis Jacq.and Rosa rugosa Thunb.are not only of ornamental value,but also edible flowers and the flower buds have been listed in the Chinese Pharmacopoeia as traditional medicines.The two plants have some differences in efficacy,but the flower buds are easily confused for similar traits.In addition,large-scale cultivation of ornamental rose flowers may lead to a decrease in the effective components of medicinal roses.Therefore,it is necessary to study the chemical composition and make quality evaluation of Rosae Chinensis Flos(Yueji)and Rosae Rugosae Flos(Meigui).Methods:In this study,40 batches of samples including Meigui and Yueji from different regions in China were collected to establish high-performance liquid chromatography fingerprints.Then,the fingerprints data was analyzed using principal component analysis,hierarchical cluster analysis,and partial least squares discriminant analysis analysis chemometrics to obtain information on intergroup differences,and non-targeted metabolomic techniques were applied to identify and compare chemical compositions of samples which were chosen from groups with large differences.Differential compounds were screened by orthogonal partial least-squares discriminant analysis and S-plot,and finally multi-component quantification was performed to comprehensively evaluate the quality of Yueji and Meigui.Results:The similarity between the fingerprints of 40 batches roses and the reference print R was 0.73 to 0.93,indicating that there were similarities and differences between the samples.Through principal component analysis and hierarchical cluster analysis of fingerprints data,the samples from different origins and varieties were intuitively divided into four groups.Partial least-squares discriminant analysis analysis showed that Meigui and Yueji cluster into two categories and the model was reliable.A total of 89 compounds were identified by high resolution mass spectrometry,mainly were flavonoids and flavonoid glycosides,as well as phenolic acids.Eight differential components were screened out by orthogonal partial least-squares discriminant analysis and S-plot analysis.Quantitative analyses of the eight compounds,including gallic acid,ellagic acid,hyperoside,isoquercitrin,etc.,showed that Yueji was generally richer in phenolic acids and flavonoids than Meigui,and the quality of Yueji from Shandong and Hebei was better.It is worth noting that Xinjiang rose is rich in various components,which is worth focusing on more in-depth research.Conclusion:In this study,the fingerprints of Meigui and Yueji were established.The chemical components information of roses was further improved based on non-targeted metabolomics and mass spectrometry technology.At the same time,eight differential components of Meigui and Yueji were screened out and quantitatively analyzed.The research results provided a scientific basis for the quality control and rational development and utilization of Rosae Chinensis Flos and Rosae Rugosae Flos,and also laid a foundation for the study of their pharmacodynamic material basis.展开更多
With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,...With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,the research on plant-derived cosmetics has a history of centuries and even over 1,000 years both domestically and internationally.In order to further analyze the domestic and international research hotspots and future trends in the research field of plant-derived cosmetics,the relevant literatures from China National Knowledge Infrastructure(CNKI)database,Wanfang database,Vip database and Web of Science Core Collection(WoSCC)database from January 1994 to June 2024 were chosen as research objects in this paper.The authors,countries,research institutions and key words of the selected 1,415 Chinese papers and 1,927 English papers were visually analysed using the bibliometric software CiteSpace and VOSviewer.The results show that the number of publications shows an increasing trend;the communication and cooperation between core authors and between research institutions of the publicationare are both weak;the research hotspots mainly focus on natural plants,Chinese herbs,active ingredients,and whitening;and future research trends may include green synthesis,efficacy application,health and safety,etc.This study aims to grasp the hot spots and trends in the field of plant-derived cosmetics,and to provide ideas and references for the relevant research in China in the future.展开更多
Dysregulated inflammatory reactions can result in detrimental effects to the body,thereby causing various diseases.Traditional treatments relying on anti-inflammatory drugs or nanoformulations often undermine the body...Dysregulated inflammatory reactions can result in detrimental effects to the body,thereby causing various diseases.Traditional treatments relying on anti-inflammatory drugs or nanoformulations often undermine the body’s physiological immune functions or potentially exhibit biotoxicity.Extracellular vesicles,which contain a diverse array of antiinflammatory substances and possess nanomedicine transport properties,are emerging as highly promising candidates for next-generation drug delivery systems and active biological agents.Plant-derived vesicle-like nanoparticles(PDVLNs)are nanostructured particles isolated from plants.Given their wide availability and low immunogenicity,PDVLNs are considered to hold great potential in the treatment of inflammatory diseases(IDs).In this review,we introduce the principle,design consideration and treatment mechanism associated with PDVLNs in treating various IDs.Specifically,the natural ingredients carried by PDVLNs not only help eliminate danger signals such as reactive oxygen species and reactive nitrogen species,but also hinder the initiation of inflammatory responses through various mechanisms.Moreover,engineered PDVLNs nanotechnology has been successfully employed in the treatment of IDs.Finally,the review discusses the current opportunities and challenges in this field and provides insights for the future clinical applications of PDVLNs in treating IDs.展开更多
Dear Editor,Local recurrence and cervical lymph node metastases are major causes of mortality in patients with head and neck squamous cell carcinoma(HNSCC).To date,none of the proposed strategies for predicting outcom...Dear Editor,Local recurrence and cervical lymph node metastases are major causes of mortality in patients with head and neck squamous cell carcinoma(HNSCC).To date,none of the proposed strategies for predicting outcomes in this disease have proven fully effective,and a comprehensive physical examination remains the primary method for early detection and monitoring of HNSCC.展开更多
Rheumatoid arthritis(RA)is a refractory autoimmune disease with limited treatment options.Plantderived exosomes-like nanovesicles(PDENs)have emerged as a novel nanomedical approach,with the inherent bioactive compound...Rheumatoid arthritis(RA)is a refractory autoimmune disease with limited treatment options.Plantderived exosomes-like nanovesicles(PDENs)have emerged as a novel nanomedical approach,with the inherent bioactive compounds from their source plants.The roots of Morinda officinalis How.(MO),a Chinese herb,exhibit notable anti-inflammatory activities and hold promising therapeutic value.We engineered a joint-targe ting delivery system(termed MOE@EM)by masking MO-derived exosomes-like nanovesicles(MOE)with erythrocyte membrane(EM).This biomimetic strategy,using EM camouflage,is intended to improve the in vivo fate of MOE.We investigated the antioxidative and anti-inflammatory activities,immunogenicity,drug accumulation in the joint,and therapeutic efficacy to ascertain its suitability for RA therapy.UV irradiation significantly increased the activities of catalase and peroxidase of MOE,and enhanced the anti-inflammatory effects via the Wnt/β-catenin pathway.Furthermore,MOE@EM markedly attenuated dendritic cell activation.MOE@EM exhibited joint-specific delivery,with substantial reduction in paw swelling,and favorable modulation of immune microenvironment.展开更多
Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustai...Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustainable material applications. These carbon dots establish an innovative technical framework by integrating dual "detection-remediation" functionalities through eco-friendly synthesis and high-value conversion of medicinal-edible plants and agroforestry waste. Their core advantages originate from structural templating effects induced by natural functional groups (polyphenols, amino acids) in plant precursors combined with heteroatom self-doping, which synergistically optimizes optical properties. This combination achieves quantum yields ranging from 3.06% to 84.9% and detection sensitivities spanning nanomolar to micromolar concentrations. In pollutant detection applications, P-CDs enable ultrasensitive identification of heavy metals (Hg^(2+) , Cu^(2+) , Fe^(3+) ) and organic contaminants (pesticides, antibiotics) through multi-mechanistic interactions including static quenching (SQ), dynamic quenching (DQ), and F rster resonance energy transfer (FRET). However, technological translation faces critical challenges including quantum yield heterogeneity (>40-fold variation), matrix interference in complex environmental samples (signal drift exceeding 12%), and scalability-related process inconsistencies. Future research priorities should focus on three key areas: standardization of synthesis protocols, development of surface passivation strategies ( e.g. , SiO_(2) encapsulation), and optimization of heterojunction designs to enhance interference resistance. The integration of in situ characterization techniques (particularly X-ray absorption spectroscopy) with machine learning-driven parameter optimization could significantly refine detection-remediation synergies. Concurrently, establishing a comprehensive lifecycle assessment framework becomes imperative for evaluating environmental impacts and scalability potential. This technology pioneers a sustainable paradigm for pollution control by bridging the gap between nanomaterial innovation and industrial deployment, thereby accelerating progress toward global ecological security objectives.展开更多
The widespread use of lithium batteries has led to frequent fire hazards,which significantly threaten both human lives and property safety.One of the primary challenges in enhancing the fire safety of lithium batterie...The widespread use of lithium batteries has led to frequent fire hazards,which significantly threaten both human lives and property safety.One of the primary challenges in enhancing the fire safety of lithium batteries lies in the flammability of their organic components.As electronic devices continue to proliferate,the integration of liquid electrolytes and separators has become common.However,these components are prone to high volatility and leakage,which limits their safety.Fortunately,recent advancements in solid-state and gel electrolytes have demonstrated promising performance in laboratory settings,providing solutions to these issues.Typically,improving the flame retardancy and fire safety of lithium batteries involves careful design of the formulations or molecular structures of the organic materials.Moreover,the internal interfacial interactions also play a vital role in ensuring safety.This review examines the innovative design strategies developed over the past 5 years to address the fire safety concerns associated with lithium batteries.Future advancements in the next generation of high-safety lithium batteries should not only focus on optimizing component design but also emphasize rigorous operational testing.This dual approach will drive further progress in battery safety research and development,enhancing the overall reliability of lithium battery systems.展开更多
Natural rubber(NR)is a crucial elastic material used for damping and sealing applications in the nuclear industry,but its mechanical stability under radiation remains inadequate.Current efforts to improve radiation re...Natural rubber(NR)is a crucial elastic material used for damping and sealing applications in the nuclear industry,but its mechanical stability under radiation remains inadequate.Current efforts to improve radiation resistance rely on the addition of antiradiation agents,however,the effects of the components and microstructures of NR itself on radiation resistance remain unclear.In this study,we compared the composition and structure differences of four typical commercially used NR materials and investigated their effects on gamma radiation resistance.Furthermore,we examined the impact of non-rubber components(NRC)in NR on radiation resistance using deproteinized and dephosphorylated NR model samples.Our results revealed that NRC,such as proteins and phospholipids can enhance the strength of natural rubber before radiation exposure.However,after the removal of NRC,the samples exhibited improved mechanical stability under irradiation.Additionally,the ash content in NR could also influence the radiation resistance,as metal ions may react with the active centers produced by radiation,thereby enhancing the radiation resistance of the rubber.This work identifies the effect of non-rubber components in NR on radiation resistance and may serve as a reference for screening and developing radiation-resistant NR materials.展开更多
Acupuncture,a therapeutic practice rooted in traditional Chinese medicine and integrated with modern neuroscience,achieves its effects by stimulating sensory nerves at specific anatomical points known as acupoints.Thi...Acupuncture,a therapeutic practice rooted in traditional Chinese medicine and integrated with modern neuroscience,achieves its effects by stimulating sensory nerves at specific anatomical points known as acupoints.This review systematically explores the therapeutic components of acupuncture,emphasizing the interplay between sensory nerve characteristics and neural signaling pathways.Key factors such as acupoint location,needling depth,stimulation intensity,retention time,and the induction of sensations(e.g.,Deqi)are analyzed for their roles in neural activation and clinical outcomes.The review highlights how variations in spinal segment targeting,tissue-specific receptor activation,and stimulation modalities(e.g.,manual acupuncture,electroacupuncture,moxibustion)influence therapeutic effects.Emerging evidence underscores the significance of ion channels,dermatomes,myotomes,and genespecific pathways in mediating systemic effects.Additionally,the differential roles of mechanical,thermal and nociceptive stimuli and the temporal dynamics of sensory and immune responses are addressed.While insights from animal models have advanced our understanding,their translation to clinical practice requires further investigation.This comprehensive review identifies critical parameters for optimizing acupuncture therapy,advocating for individualized treatment strategies informed by neuroanatomical and neurophysiological principles,ultimately enhancing its precision and efficacy in modern medicine.展开更多
As the integration of electronic components in high-performance servers increases,heat generation significantly impacts performance and raises failure rates.Therefore,heat dissipation has become a critical concern in ...As the integration of electronic components in high-performance servers increases,heat generation significantly impacts performance and raises failure rates.Therefore,heat dissipation has become a critical concern in electronic circuit design.This study uses numerical simulations to investigate the heat dissipation characteristics of electronic components in air-cooled servers.By adjusting airflow speed,heat sink configurations,and the arrangement of straight-fin heat sinks,we optimize heat dissipation performance and analyze the mechanisms at different airflow speeds.The results show that,at the same airflow speed,the temperature of the heat sink is lower than that of the electronic components,creating a temperature gradient that enhances heat transfer.Compared to a front-to-back arrangement of two straight-fin heat sinks,placing the heat sinks parallel to each other results in a lower maximum component temperature and better temperature uniformity.Heat sinks with fins significantly improve heat dissipation.The heat sink with semicylindrical fins on the rib surface provides the best cooling performance.Moreover,compared to natural convection,the maximum temperature of the electronic components decreases by 56.17%and 61%when the incoming flow velocity is 6 m/s with two parallel flat ribbed heat sinks and front-to-back arrangement,respectively.展开更多
[Objectives]To analyze the main chemical components in Cocculus laurifolius DC.by ultra-high performance liquid chromatography-quaternary rod/electrostatic field orbital hydrazine high resolution mass spectrometry.[Me...[Objectives]To analyze the main chemical components in Cocculus laurifolius DC.by ultra-high performance liquid chromatography-quaternary rod/electrostatic field orbital hydrazine high resolution mass spectrometry.[Methods]Using Welch AQ-C 18 chromatographic column(150 mm×2.1 mm,1.8μm),gradient elution was performed with 0.1%formic acid aqueous solution(A)-methanol(B)as the mobile phase,and electrospray ESI ionization source and simultaneous mass spectrometry scanning mode of positive and negative ions were used.[Results]26 kinds of chemical component were identified or inferred,including 3 organic acids,5 flavonoids,4 alkaloids,1 coumarin and 13 others.[Conclusions]The UPLC-Q-Exactive HRMS technique is simple,which lays a foundation for the drug-efficacy material basis and medicinal quality evaluation of C.laurifolius DC.展开更多
[Objectives]To establish an HPLC method for the quantitative determination of multiple phenolic acid components in Tetracera asiatica medicinal material,providing a basis for establishing its quality standards.[Method...[Objectives]To establish an HPLC method for the quantitative determination of multiple phenolic acid components in Tetracera asiatica medicinal material,providing a basis for establishing its quality standards.[Methods]An Inertsil ODS-C 18 column(250 mm×4.6 mm,5μm)was used.The mobile phase consisted of acetonitrile-0.2% phosphoric acid solution(10:90).The flow rate was 1.0 mL/min.The detection wavelength was 274 nm.The column temperature was 25℃.The injection volume was 10μL.The content of three components,gallic acid,protocatechuic acid,and protocatechualdehyde,was determined in 13 batches of T.asiatica.[Results]Gallic acid showed good linearity within the range of 0.020-6.400μg/mL,protocatechuic acid within 0.201-6.432μg/mL,and protocatechualdehyde within 0.202-6.464μg/mL(r>0.9990).The average recovery rates ranged from 98.61%to 101.17%,with RSD s between 1.21%and 2.69%.[Conclusions]The quantitative determination method established in this study is simple and feasible,and can provide a basis for the quality evaluation of T.asiatica.展开更多
Three typical toughening components(i e,emulsion asphalt,waste tire rubber particles,and polyethylene fibers)were employed to prepare self-compacting concrete(SCC).The fracture behaviors of these prepared SCC were inv...Three typical toughening components(i e,emulsion asphalt,waste tire rubber particles,and polyethylene fibers)were employed to prepare self-compacting concrete(SCC).The fracture behaviors of these prepared SCC were investigated through the three-point bending test of notched beams,in which the accompanying acoustics emissions(AE)were also recorded.The test results showed that although incorporating a single toughening component reduced the fracture strengths and fracture toughness of SCC,the combination of multiple toughening components could diminish this negative effect.In addition,introducing toughening components could enhance the fracture energy and ductility index of SCC,with an improvement up to 10 times or more when PE fibers and other toughening components were involved.Based on the results of AE characteristics,SCC exhibited a progressive damage process with mitigated crack propagation after the addition of toughening components.Overall,this study could advance the understanding of the influence mechanisms of toughening components on concrete fracture behavior and further instruct the improvement in the fracture performance of concrete.展开更多
Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity effica...Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity efficacies from 11 teas.In vitro experiments revealed that lipid accumulation in L02 cells and lipid synthesis in 3T3-L1 cells were significantly better inhibited by Tea-B than Tea-A.Further in vivo experiments using model mice revealed that the differences in chemical components generated two pathways in the anti-obesity efficacy and mechanism of Pu-erh teas.Tea-A changes the histomorphology of brown adipose tissue(BAT)and increases the abundance of Coriobacteriaceae_UCG_002 and cyclic AMP in guts through high chemical contents of cyclopentasiloxane,decamethyl,tridecane and 1,2,3-trimethoxybenzene,eventually increasing BAT activation and fat browning gene expression;the high content of hexadecane and 1,2-dimethoxybenzene in Tea-B reduces white adipose tissue(WAT)accumulation and the process of fatty liver,increases the abundance of Odoribacter and sphinganine 1-phosphate,inhibits the expression of lipid synthesis and transport genes.These mechanistic findings on the association of the representative bioactive components in Pu-erh teas with the anti-obesity phenotypes,gut microbes,gut metabolite structure and anti-obesity pathways,which were obtained for the first time,provide foundations for developing functional Pu-erh tea.展开更多
Trichosanthis Fructus(Gualou)is the dried ripe fruit of Trichosanthes kirilowii Maxim.or Trichosanthes rosthornii Harms(Cucurbitaceae family).It demonstrates significant therapeutic effects in treating coronary heart ...Trichosanthis Fructus(Gualou)is the dried ripe fruit of Trichosanthes kirilowii Maxim.or Trichosanthes rosthornii Harms(Cucurbitaceae family).It demonstrates significant therapeutic effects in treating coronary heart disease and diabetes mellitus,while also possessing anti-cancer and anti-aging properties.Both Trichosanthis Pericarpium(Gualoupi)and Trichosanthis Semen(Gualouzi)are used medicinally.With the increasing clinical application of Trichosanthes medicinal materials and their preparations(such as Gualou Injection and Gualou Tablets),the demand for them is expected to grow substantially.To further investigate Trichosanthis Fructus,explore its medicinal effects and new applications,and promote the development of Trichosanthis Fructus-based products,this paper reviewed the chemical components of Trichosanthis Fructus.Furthermore,the differences in major chemical components among Trichosanthis Fructus,Trichosanthis Pericarpium and Trichosanthis Semen were compared,providing a scientific basis for establishing quality evaluation standards of Trichosanthes medicinal materials.展开更多
Detecting coupling pattern between elements in a complex system is a basic task in data-driven analysis. The trajectory for each specific element is a cooperative result of its intrinsic dynamic, its couplings with ot...Detecting coupling pattern between elements in a complex system is a basic task in data-driven analysis. The trajectory for each specific element is a cooperative result of its intrinsic dynamic, its couplings with other elements, and the environment. It is subsequently composed of many components, only some of which take part in the couplings. In this paper we present a framework to detect the component correlation pattern. Firstly, the interested trajectories are decomposed into components by using decomposing methods such as the Fourier expansion and the Wavelet transformation. Secondly, the cross-correlations between the components are calculated, resulting into a component cross-correlation matrix(network).Finally, the dominant structure in the network is identified to characterize the coupling pattern in the system. Several deterministic dynamical models turn out to be characterized with rich structures such as the clustering of the components. The pattern of correlation between respiratory(RESP) and ECG signals is composed of five sub-clusters that are mainly formed by the components in ECG signal. Interestingly, only 7 components from RESP(scattered in four sub-clusters) take part in the realization of coupling between the two signals.展开更多
基金funded by the National Natural Science Foundation of China Youth Fund(Grant No.62304022)Science and Technology on Electromechanical Dynamic Control Laboratory(China,Grant No.6142601012304)the 2022e2024 China Association for Science and Technology Innovation Integration Association Youth Talent Support Project(Grant No.2022QNRC001).
文摘Metal Additive Manufacturing(MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micromechanical defects such as porosity issues, significant deformation, surface cracks, and challenging control of surface morphology encountered during the selective laser melting(SLM) additive manufacturing(AM) process of specialized Micro Electromechanical System(MEMS) components, multiparameter optimization and micro powder melt pool/macro-scale mechanical properties control simulation of specialized components are conducted. The optimal parameters obtained through highprecision preparation and machining of components and static/high dynamic verification are: laser power of 110 W, laser speed of 600 mm/s, laser diameter of 75 μm, and scanning spacing of 50 μm. The density of the subordinate components under this reference can reach 99.15%, the surface hardness can reach 51.9 HRA, the yield strength can reach 550 MPa, the maximum machining error of the components is 4.73%, and the average surface roughness is 0.45 μm. Through dynamic hammering and high dynamic firing verification, SLM components meet the requirements for overload resistance. The results have proven that MEM technology can provide a new means for the processing of MEMS components applied in high dynamic environments. The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components.
基金financially supported by National Key R&D Program(2021YFF0701905)。
文摘In order to save manpower and time costs,and to achieve simultaneous detection of multiple animal-derived components in meat and meat products,this study used multiple nucleotide polymorphism(MNP)marker technology based on the principle of high-throughput sequencing,and established a multi-locus 10 animalderived components identification method of cattle,goat,sheep,donkey,horse,chicken,duck,goose,pigeon,quail in meat and meat products.The specific loci of each species could be detected and the species could be accurately identified,including 5 loci for cattle and duck,3 loci for sheep,9 loci for chicken and horse,10 loci for goose and pigeon,6 loci for quail and 1 locus for donkey and goat,and an adulteration model was established to simulate commercially available samples.The results showed that the method established in this study had high throughput,good repeatability and accuracy,and was able to identify 10 animalderived components simultaneously with 100%repeatability accuracy.The detection limit was 0.1%(m/m)in simulated samples of chicken,duck and horse.Using the method established in this study to test commercially available samples,4 samples from 14 commercially available samples were detected to be inconsistent with the labels,of which 2 did not contain the target ingredient and 2 were adulterated with small amounts of other ingredients.
基金funding from the National Natural Science Foundation of China (Grant No.42277175)the pilot project of cooperation between the Ministry of Natural Resources and Hunan Province“Research and demonstration of key technologies for comprehensive remote sensing identification of geological hazards in typical regions of Hunan Province” (Grant No.2023ZRBSHZ056)the National Key Research and Development Program of China-2023 Key Special Project (Grant No.2023YFC2907400).
文摘Joint roughness coefficient(JRC)is the most commonly used parameter for quantifying surface roughness of rock discontinuities in practice.The system composed of multiple roughness statistical parameters to measure JRC is a nonlinear system with a lot of overlapping information.In this paper,a dataset of eight roughness statistical parameters covering 112 digital joints is established.Then,the principal component analysis method is introduced to extract the significant information,which solves the information overlap problem of roughness characterization.Based on the two principal components of extracted features,the white shark optimizer algorithm was introduced to optimize the extreme gradient boosting model,and a new machine learning(ML)prediction model was established.The prediction accuracy of the new model and the other 17 models was measured using statistical metrics.The results show that the prediction result of the new model is more consistent with the real JRC value,with higher recognition accuracy and generalization ability.
基金supported by the key project at the central government level:The ability establishment of sustainable use for valuable Chinese medicine resources(Grant number 2060302)the National Natural Science Foundation of China(Grant number 82373982,82173929).
文摘Background:Rosa chinensis Jacq.and Rosa rugosa Thunb.are not only of ornamental value,but also edible flowers and the flower buds have been listed in the Chinese Pharmacopoeia as traditional medicines.The two plants have some differences in efficacy,but the flower buds are easily confused for similar traits.In addition,large-scale cultivation of ornamental rose flowers may lead to a decrease in the effective components of medicinal roses.Therefore,it is necessary to study the chemical composition and make quality evaluation of Rosae Chinensis Flos(Yueji)and Rosae Rugosae Flos(Meigui).Methods:In this study,40 batches of samples including Meigui and Yueji from different regions in China were collected to establish high-performance liquid chromatography fingerprints.Then,the fingerprints data was analyzed using principal component analysis,hierarchical cluster analysis,and partial least squares discriminant analysis analysis chemometrics to obtain information on intergroup differences,and non-targeted metabolomic techniques were applied to identify and compare chemical compositions of samples which were chosen from groups with large differences.Differential compounds were screened by orthogonal partial least-squares discriminant analysis and S-plot,and finally multi-component quantification was performed to comprehensively evaluate the quality of Yueji and Meigui.Results:The similarity between the fingerprints of 40 batches roses and the reference print R was 0.73 to 0.93,indicating that there were similarities and differences between the samples.Through principal component analysis and hierarchical cluster analysis of fingerprints data,the samples from different origins and varieties were intuitively divided into four groups.Partial least-squares discriminant analysis analysis showed that Meigui and Yueji cluster into two categories and the model was reliable.A total of 89 compounds were identified by high resolution mass spectrometry,mainly were flavonoids and flavonoid glycosides,as well as phenolic acids.Eight differential components were screened out by orthogonal partial least-squares discriminant analysis and S-plot analysis.Quantitative analyses of the eight compounds,including gallic acid,ellagic acid,hyperoside,isoquercitrin,etc.,showed that Yueji was generally richer in phenolic acids and flavonoids than Meigui,and the quality of Yueji from Shandong and Hebei was better.It is worth noting that Xinjiang rose is rich in various components,which is worth focusing on more in-depth research.Conclusion:In this study,the fingerprints of Meigui and Yueji were established.The chemical components information of roses was further improved based on non-targeted metabolomics and mass spectrometry technology.At the same time,eight differential components of Meigui and Yueji were screened out and quantitatively analyzed.The research results provided a scientific basis for the quality control and rational development and utilization of Rosae Chinensis Flos and Rosae Rugosae Flos,and also laid a foundation for the study of their pharmacodynamic material basis.
文摘With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,the research on plant-derived cosmetics has a history of centuries and even over 1,000 years both domestically and internationally.In order to further analyze the domestic and international research hotspots and future trends in the research field of plant-derived cosmetics,the relevant literatures from China National Knowledge Infrastructure(CNKI)database,Wanfang database,Vip database and Web of Science Core Collection(WoSCC)database from January 1994 to June 2024 were chosen as research objects in this paper.The authors,countries,research institutions and key words of the selected 1,415 Chinese papers and 1,927 English papers were visually analysed using the bibliometric software CiteSpace and VOSviewer.The results show that the number of publications shows an increasing trend;the communication and cooperation between core authors and between research institutions of the publicationare are both weak;the research hotspots mainly focus on natural plants,Chinese herbs,active ingredients,and whitening;and future research trends may include green synthesis,efficacy application,health and safety,etc.This study aims to grasp the hot spots and trends in the field of plant-derived cosmetics,and to provide ideas and references for the relevant research in China in the future.
基金supported by the National Nature Science Foundation of China[grant numbers 82204939,82104701]the Youth Project of Natural Science Foundation of Anhui Province[grant number 2208085QH268]+3 种基金the Excellent Youth Fund Project of Anhui Provincial Department of Education(grant numbers 2023AH030069)the Key Project of Anhui Province Department of Education[grant numbers 2024AH051051]Anhui University Collaborative Innovation Project[grant number GXXT-2022-061]Anhui University of Chinese Medicine Foundation[grant numbers 2022rcZD001,2022rcZD004]。
文摘Dysregulated inflammatory reactions can result in detrimental effects to the body,thereby causing various diseases.Traditional treatments relying on anti-inflammatory drugs or nanoformulations often undermine the body’s physiological immune functions or potentially exhibit biotoxicity.Extracellular vesicles,which contain a diverse array of antiinflammatory substances and possess nanomedicine transport properties,are emerging as highly promising candidates for next-generation drug delivery systems and active biological agents.Plant-derived vesicle-like nanoparticles(PDVLNs)are nanostructured particles isolated from plants.Given their wide availability and low immunogenicity,PDVLNs are considered to hold great potential in the treatment of inflammatory diseases(IDs).In this review,we introduce the principle,design consideration and treatment mechanism associated with PDVLNs in treating various IDs.Specifically,the natural ingredients carried by PDVLNs not only help eliminate danger signals such as reactive oxygen species and reactive nitrogen species,but also hinder the initiation of inflammatory responses through various mechanisms.Moreover,engineered PDVLNs nanotechnology has been successfully employed in the treatment of IDs.Finally,the review discusses the current opportunities and challenges in this field and provides insights for the future clinical applications of PDVLNs in treating IDs.
文摘Dear Editor,Local recurrence and cervical lymph node metastases are major causes of mortality in patients with head and neck squamous cell carcinoma(HNSCC).To date,none of the proposed strategies for predicting outcomes in this disease have proven fully effective,and a comprehensive physical examination remains the primary method for early detection and monitoring of HNSCC.
基金supported by the National Key Research and Development Program of China(Nos.2021YFC2400600,2022YFE0203600)National Natural Science Foundation of China(Nos.81925035,82304842,82204628)+6 种基金High-level Innovative Research Institute(No.2021B0909050003)Chinese Academy of Sciences President’s International Fellowship Initiative(No.2024VBB0004)the Scientific and Technological Innovation Projects in Zhongshan City(Nos.LJ2021001,CXTD2022011)the Social Welfare and Basic Research Projects in Zhongshan(No.221014134359625)the Special Projects in Key Areas of Colleges and Universities in Guangdong Province(No.2022ZDZX2015)the Science and Technology Program of Guangzhou(No.2024A04J4899)Young Talent Project of Guangzhou University of Chinese Medicine(No.A1–2601–24–414–110Z76)。
文摘Rheumatoid arthritis(RA)is a refractory autoimmune disease with limited treatment options.Plantderived exosomes-like nanovesicles(PDENs)have emerged as a novel nanomedical approach,with the inherent bioactive compounds from their source plants.The roots of Morinda officinalis How.(MO),a Chinese herb,exhibit notable anti-inflammatory activities and hold promising therapeutic value.We engineered a joint-targe ting delivery system(termed MOE@EM)by masking MO-derived exosomes-like nanovesicles(MOE)with erythrocyte membrane(EM).This biomimetic strategy,using EM camouflage,is intended to improve the in vivo fate of MOE.We investigated the antioxidative and anti-inflammatory activities,immunogenicity,drug accumulation in the joint,and therapeutic efficacy to ascertain its suitability for RA therapy.UV irradiation significantly increased the activities of catalase and peroxidase of MOE,and enhanced the anti-inflammatory effects via the Wnt/β-catenin pathway.Furthermore,MOE@EM markedly attenuated dendritic cell activation.MOE@EM exhibited joint-specific delivery,with substantial reduction in paw swelling,and favorable modulation of immune microenvironment.
文摘Pharmaceutical-Food Homologous Plant-Derived Carbon Dots (P-CDs) have emerged as revolutionary nanomaterials in environmental pollutant management, demonstrating transformative potential for green chemistry and sustainable material applications. These carbon dots establish an innovative technical framework by integrating dual "detection-remediation" functionalities through eco-friendly synthesis and high-value conversion of medicinal-edible plants and agroforestry waste. Their core advantages originate from structural templating effects induced by natural functional groups (polyphenols, amino acids) in plant precursors combined with heteroatom self-doping, which synergistically optimizes optical properties. This combination achieves quantum yields ranging from 3.06% to 84.9% and detection sensitivities spanning nanomolar to micromolar concentrations. In pollutant detection applications, P-CDs enable ultrasensitive identification of heavy metals (Hg^(2+) , Cu^(2+) , Fe^(3+) ) and organic contaminants (pesticides, antibiotics) through multi-mechanistic interactions including static quenching (SQ), dynamic quenching (DQ), and F rster resonance energy transfer (FRET). However, technological translation faces critical challenges including quantum yield heterogeneity (>40-fold variation), matrix interference in complex environmental samples (signal drift exceeding 12%), and scalability-related process inconsistencies. Future research priorities should focus on three key areas: standardization of synthesis protocols, development of surface passivation strategies ( e.g. , SiO_(2) encapsulation), and optimization of heterojunction designs to enhance interference resistance. The integration of in situ characterization techniques (particularly X-ray absorption spectroscopy) with machine learning-driven parameter optimization could significantly refine detection-remediation synergies. Concurrently, establishing a comprehensive lifecycle assessment framework becomes imperative for evaluating environmental impacts and scalability potential. This technology pioneers a sustainable paradigm for pollution control by bridging the gap between nanomaterial innovation and industrial deployment, thereby accelerating progress toward global ecological security objectives.
基金supported by the National Natural Science Foundation of China(No.22375023)Natural Science Foundation of Chongqing(CSTB2024NSCQ-MSX0452)+5 种基金Hebei Natural Science Foundation(E2024105006)Shandong Province Natural Science Foundation(ZR2024ME040)the Fundamental Research Funds for the Central Universities(2024CX06053)National College Students'Innovation and Entrepreneurship Training Program(202410007038X)funded by the Australian Research Council/Discovery Early Career Researcher Award(DECRA)funding scheme(project number DE230100180)the Australian Research Council/Industrial Transformation Research Hubs funding scheme(project number IH220100002).
文摘The widespread use of lithium batteries has led to frequent fire hazards,which significantly threaten both human lives and property safety.One of the primary challenges in enhancing the fire safety of lithium batteries lies in the flammability of their organic components.As electronic devices continue to proliferate,the integration of liquid electrolytes and separators has become common.However,these components are prone to high volatility and leakage,which limits their safety.Fortunately,recent advancements in solid-state and gel electrolytes have demonstrated promising performance in laboratory settings,providing solutions to these issues.Typically,improving the flame retardancy and fire safety of lithium batteries involves careful design of the formulations or molecular structures of the organic materials.Moreover,the internal interfacial interactions also play a vital role in ensuring safety.This review examines the innovative design strategies developed over the past 5 years to address the fire safety concerns associated with lithium batteries.Future advancements in the next generation of high-safety lithium batteries should not only focus on optimizing component design but also emphasize rigorous operational testing.This dual approach will drive further progress in battery safety research and development,enhancing the overall reliability of lithium battery systems.
基金supported by the Natural Science Foundation of Sichuan Province(No.2024NSFSC0173)the National Natural Science Foundation of China(Nos.5240030820,52173058 and 52403072)National Key R&D Program of China(No.2022YFD2301202)。
文摘Natural rubber(NR)is a crucial elastic material used for damping and sealing applications in the nuclear industry,but its mechanical stability under radiation remains inadequate.Current efforts to improve radiation resistance rely on the addition of antiradiation agents,however,the effects of the components and microstructures of NR itself on radiation resistance remain unclear.In this study,we compared the composition and structure differences of four typical commercially used NR materials and investigated their effects on gamma radiation resistance.Furthermore,we examined the impact of non-rubber components(NRC)in NR on radiation resistance using deproteinized and dephosphorylated NR model samples.Our results revealed that NRC,such as proteins and phospholipids can enhance the strength of natural rubber before radiation exposure.However,after the removal of NRC,the samples exhibited improved mechanical stability under irradiation.Additionally,the ash content in NR could also influence the radiation resistance,as metal ions may react with the active centers produced by radiation,thereby enhancing the radiation resistance of the rubber.This work identifies the effect of non-rubber components in NR on radiation resistance and may serve as a reference for screening and developing radiation-resistant NR materials.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2020R1C1C1004107)。
文摘Acupuncture,a therapeutic practice rooted in traditional Chinese medicine and integrated with modern neuroscience,achieves its effects by stimulating sensory nerves at specific anatomical points known as acupoints.This review systematically explores the therapeutic components of acupuncture,emphasizing the interplay between sensory nerve characteristics and neural signaling pathways.Key factors such as acupoint location,needling depth,stimulation intensity,retention time,and the induction of sensations(e.g.,Deqi)are analyzed for their roles in neural activation and clinical outcomes.The review highlights how variations in spinal segment targeting,tissue-specific receptor activation,and stimulation modalities(e.g.,manual acupuncture,electroacupuncture,moxibustion)influence therapeutic effects.Emerging evidence underscores the significance of ion channels,dermatomes,myotomes,and genespecific pathways in mediating systemic effects.Additionally,the differential roles of mechanical,thermal and nociceptive stimuli and the temporal dynamics of sensory and immune responses are addressed.While insights from animal models have advanced our understanding,their translation to clinical practice requires further investigation.This comprehensive review identifies critical parameters for optimizing acupuncture therapy,advocating for individualized treatment strategies informed by neuroanatomical and neurophysiological principles,ultimately enhancing its precision and efficacy in modern medicine.
基金supported by the key technology project of China Southern Power Grid Corporation(GZKJXM20240009).
文摘As the integration of electronic components in high-performance servers increases,heat generation significantly impacts performance and raises failure rates.Therefore,heat dissipation has become a critical concern in electronic circuit design.This study uses numerical simulations to investigate the heat dissipation characteristics of electronic components in air-cooled servers.By adjusting airflow speed,heat sink configurations,and the arrangement of straight-fin heat sinks,we optimize heat dissipation performance and analyze the mechanisms at different airflow speeds.The results show that,at the same airflow speed,the temperature of the heat sink is lower than that of the electronic components,creating a temperature gradient that enhances heat transfer.Compared to a front-to-back arrangement of two straight-fin heat sinks,placing the heat sinks parallel to each other results in a lower maximum component temperature and better temperature uniformity.Heat sinks with fins significantly improve heat dissipation.The heat sink with semicylindrical fins on the rib surface provides the best cooling performance.Moreover,compared to natural convection,the maximum temperature of the electronic components decreases by 56.17%and 61%when the incoming flow velocity is 6 m/s with two parallel flat ribbed heat sinks and front-to-back arrangement,respectively.
基金Supported by Scientific Research Project of China Medical Association of Minorities(2022M2038-310401)Guangxi First-class Discipline Project for Traditional Chinese Medicine(GuiJiaoKeYan 202201)+3 种基金Scientific Research and Training Project for College Students of Guangxi University of Chinese Medicine(2023DXS14)Funding Project for High-level Innovation Team and Outstanding Scholars in Guangxi Universities(GuiJiaoRen 201407)NATCM s Project of High-level Construction of Key TCM Disciplines/Medicine for Ethnic Minorities(Zhuang Medicine)(ZYYZDXK-2023164)Guangxi Higher Education Key Laboratory for the Research of Toxic Diseases in Zhuang Medicine(GuiJiaoKeYan 202210).
文摘[Objectives]To analyze the main chemical components in Cocculus laurifolius DC.by ultra-high performance liquid chromatography-quaternary rod/electrostatic field orbital hydrazine high resolution mass spectrometry.[Methods]Using Welch AQ-C 18 chromatographic column(150 mm×2.1 mm,1.8μm),gradient elution was performed with 0.1%formic acid aqueous solution(A)-methanol(B)as the mobile phase,and electrospray ESI ionization source and simultaneous mass spectrometry scanning mode of positive and negative ions were used.[Results]26 kinds of chemical component were identified or inferred,including 3 organic acids,5 flavonoids,4 alkaloids,1 coumarin and 13 others.[Conclusions]The UPLC-Q-Exactive HRMS technique is simple,which lays a foundation for the drug-efficacy material basis and medicinal quality evaluation of C.laurifolius DC.
基金Supported by Regional Science Foundation of China,National Natural Science Foundation(No.82160820)General Program of Guizhou Provincial Natural Science Foundation[QianKeHe Foundation-ZK(2023)General153].
文摘[Objectives]To establish an HPLC method for the quantitative determination of multiple phenolic acid components in Tetracera asiatica medicinal material,providing a basis for establishing its quality standards.[Methods]An Inertsil ODS-C 18 column(250 mm×4.6 mm,5μm)was used.The mobile phase consisted of acetonitrile-0.2% phosphoric acid solution(10:90).The flow rate was 1.0 mL/min.The detection wavelength was 274 nm.The column temperature was 25℃.The injection volume was 10μL.The content of three components,gallic acid,protocatechuic acid,and protocatechualdehyde,was determined in 13 batches of T.asiatica.[Results]Gallic acid showed good linearity within the range of 0.020-6.400μg/mL,protocatechuic acid within 0.201-6.432μg/mL,and protocatechualdehyde within 0.202-6.464μg/mL(r>0.9990).The average recovery rates ranged from 98.61%to 101.17%,with RSD s between 1.21%and 2.69%.[Conclusions]The quantitative determination method established in this study is simple and feasible,and can provide a basis for the quality evaluation of T.asiatica.
基金Funded by Yunnan Provincial Science and Technology Project(No.202004AR040022)National Natural Science Foundation of China(No.52178261)+1 种基金Natural Science Foundation of Hunan Province(No.2022JJ40615)Changsha Municipal Natural Science Foundation(No.kq2202099)。
文摘Three typical toughening components(i e,emulsion asphalt,waste tire rubber particles,and polyethylene fibers)were employed to prepare self-compacting concrete(SCC).The fracture behaviors of these prepared SCC were investigated through the three-point bending test of notched beams,in which the accompanying acoustics emissions(AE)were also recorded.The test results showed that although incorporating a single toughening component reduced the fracture strengths and fracture toughness of SCC,the combination of multiple toughening components could diminish this negative effect.In addition,introducing toughening components could enhance the fracture energy and ductility index of SCC,with an improvement up to 10 times or more when PE fibers and other toughening components were involved.Based on the results of AE characteristics,SCC exhibited a progressive damage process with mitigated crack propagation after the addition of toughening components.Overall,this study could advance the understanding of the influence mechanisms of toughening components on concrete fracture behavior and further instruct the improvement in the fracture performance of concrete.
基金The financial support received from the Shenzhen Science and Technology Innovation Commission(KCXFZ20201221173207022,WDZC20200821141349001)Shenzhen Bay Laboratory Startup Fund(21310041,S234602003)。
文摘Pu-erh tea,a traditional Chinese beverage,performs an anti-obesity function,but the correlation between its components and efficacy remains unknown.Here,we screened two Pu-erh teas with significant anti-obesity efficacies from 11 teas.In vitro experiments revealed that lipid accumulation in L02 cells and lipid synthesis in 3T3-L1 cells were significantly better inhibited by Tea-B than Tea-A.Further in vivo experiments using model mice revealed that the differences in chemical components generated two pathways in the anti-obesity efficacy and mechanism of Pu-erh teas.Tea-A changes the histomorphology of brown adipose tissue(BAT)and increases the abundance of Coriobacteriaceae_UCG_002 and cyclic AMP in guts through high chemical contents of cyclopentasiloxane,decamethyl,tridecane and 1,2,3-trimethoxybenzene,eventually increasing BAT activation and fat browning gene expression;the high content of hexadecane and 1,2-dimethoxybenzene in Tea-B reduces white adipose tissue(WAT)accumulation and the process of fatty liver,increases the abundance of Odoribacter and sphinganine 1-phosphate,inhibits the expression of lipid synthesis and transport genes.These mechanistic findings on the association of the representative bioactive components in Pu-erh teas with the anti-obesity phenotypes,gut microbes,gut metabolite structure and anti-obesity pathways,which were obtained for the first time,provide foundations for developing functional Pu-erh tea.
基金Supported by Xuzhou Science and Technology Planning Project(KC22059)Qinglan Project Foundation of Jiangsu ProvinceHigh Level Talent Project of XZCIT(XGY2021EG08).
文摘Trichosanthis Fructus(Gualou)is the dried ripe fruit of Trichosanthes kirilowii Maxim.or Trichosanthes rosthornii Harms(Cucurbitaceae family).It demonstrates significant therapeutic effects in treating coronary heart disease and diabetes mellitus,while also possessing anti-cancer and anti-aging properties.Both Trichosanthis Pericarpium(Gualoupi)and Trichosanthis Semen(Gualouzi)are used medicinally.With the increasing clinical application of Trichosanthes medicinal materials and their preparations(such as Gualou Injection and Gualou Tablets),the demand for them is expected to grow substantially.To further investigate Trichosanthis Fructus,explore its medicinal effects and new applications,and promote the development of Trichosanthis Fructus-based products,this paper reviewed the chemical components of Trichosanthis Fructus.Furthermore,the differences in major chemical components among Trichosanthis Fructus,Trichosanthis Pericarpium and Trichosanthis Semen were compared,providing a scientific basis for establishing quality evaluation standards of Trichosanthes medicinal materials.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 11875042 and 11505114)the Shanghai Project for Construction of Top Disciplines (Grant No. USST-SYS-01)。
文摘Detecting coupling pattern between elements in a complex system is a basic task in data-driven analysis. The trajectory for each specific element is a cooperative result of its intrinsic dynamic, its couplings with other elements, and the environment. It is subsequently composed of many components, only some of which take part in the couplings. In this paper we present a framework to detect the component correlation pattern. Firstly, the interested trajectories are decomposed into components by using decomposing methods such as the Fourier expansion and the Wavelet transformation. Secondly, the cross-correlations between the components are calculated, resulting into a component cross-correlation matrix(network).Finally, the dominant structure in the network is identified to characterize the coupling pattern in the system. Several deterministic dynamical models turn out to be characterized with rich structures such as the clustering of the components. The pattern of correlation between respiratory(RESP) and ECG signals is composed of five sub-clusters that are mainly formed by the components in ECG signal. Interestingly, only 7 components from RESP(scattered in four sub-clusters) take part in the realization of coupling between the two signals.
