To prevent the long-time coherent integration and limited range window stumbling blocks of stretch processing and reduce computational complexity, a novel method called multi-subpulse process of large time-bandwidth p...To prevent the long-time coherent integration and limited range window stumbling blocks of stretch processing and reduce computational complexity, a novel method called multi-subpulse process of large time-bandwidth product linear frequency modulating （ LFM ） signal （ i. e. chirp ） is proposed in this paper. The wideband chirp signal is split up into several compressed subpulses. Then the fast Fourier transform （FFT） is used to reconstruct the high resolution range profile （ HR- RP） in a relative short computation time. For multi-frame, pulse Doppler （PD） process is performed to obtain the two-dimension range-Doppler （R-D） high resolution profile. Simulations and field ex- perimental results show that the proposed method can provide high-quality target profile over a large range window in a short computation time and has the promising potential for long-time coherent in- tegration.展开更多
<div style="text-align:justify;"> A photonics approach to generate a linearly chirped waveform with increased TBWP is proposed and investigated. The time bandwidth product (TBWP) of the linearly chirpe...<div style="text-align:justify;"> A photonics approach to generate a linearly chirped waveform with increased TBWP is proposed and investigated. The time bandwidth product (TBWP) of the linearly chirped waveform is improved based on optical microwave frequency multiplying combined with temporal synthesis. An integrated dual-polarization modulator and an optical filter are utilized to perform frequency doubling operation by generating an orthogonally polarized optical signal, which consists of an optical carrier in one polarization direction and a second-order chirped optical sideband in another. Then the orthogonally polarized optical signal puts into a polarization modulator (PolM) to perform phase coding process. By driving a Pseudorandom (PN) sequence to the PolM, the time duration of the generated bandwidth doubled linearly chirped waveform can be synthesized to arbitrary length. The approach is verified by simulation. A linearly chirped waveform with central frequency of 8.25 GHz, bandwidth of 500 MHz, time duration of 6.4 ns is used to generate a synthesized waveform with central frequency of 16.5 GHz, bandwidth of 1 GHz, time duration of 819.2 ns. The TBWP of the linearly chirped signal is improved from 3.2 to 819.2. The proposed method features arbitrary large TBWP, and it can be used in a radar system to improve its resolution. </div>展开更多
A minimal generalized time-bandwidth product-based coarse-to-fine strategy is proposed with one novel ideas highlighted: adopting a coarse-to-fine strategy to speed up the searching process. The simulation results on ...A minimal generalized time-bandwidth product-based coarse-to-fine strategy is proposed with one novel ideas highlighted: adopting a coarse-to-fine strategy to speed up the searching process. The simulation results on synthetic and real signals show the validity of the proposed method.展开更多
Agricultural Products Processing and Storage(ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature)is an international,peer-reviewed open access journal with the aim ...Agricultural Products Processing and Storage(ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature)is an international,peer-reviewed open access journal with the aim to offer a platform for the rapid dissemination of signifi cant,novel,and high-impact research in the fi elds of agricultural product processing science,technology,engineering,and nutrition.Additionally,supplemental issues are curated and published to facilitate in-depth discussions on special topics.展开更多
Food Science of Animal Products(ISSN:2958-4124,e-ISSN:2958-3780)is a peer-reviewed,open access international journal that publishes the latest research findings in the field of animal-origin foods,involving food mater...Food Science of Animal Products(ISSN:2958-4124,e-ISSN:2958-3780)is a peer-reviewed,open access international journal that publishes the latest research findings in the field of animal-origin foods,involving food materials such as meat,aquatic products,milk,eggs,animal offals and edible insects.展开更多
Natural product(NPT)derived from traditional Chinese medicine has a rich history as an integral part of Chinese healthcare for thousands of years.Recently,the application of NPT in sonodynamic antibacterial therapy(SD...Natural product(NPT)derived from traditional Chinese medicine has a rich history as an integral part of Chinese healthcare for thousands of years.Recently,the application of NPT in sonodynamic antibacterial therapy(SDAT)has emerged as a promising area of research.This perspective summarizes the recent NPT-based sonosensitizers in SDAT.Currently,common NPT-based sonosensitizers include curcumin,chlorophyll derivatives,hypericin,and berberine.Compared with other sonosensitizers,natural sources of NPT-based sonosensitizers with reactive oxide species production performance under ultrasound conditions,low biotoxicity,and other additional biological activity make them have application prospects in bacterial removal.Finally,the potential benefits and challenges of NPT-based nanosonosensitizers were also discussed.展开更多
The rich resources and unique environment of the Moon make it an ideal location for human expansion and the utilization of extraterrestrial resources.Oxygen,crucial for supporting human life on the Moon,can be extract...The rich resources and unique environment of the Moon make it an ideal location for human expansion and the utilization of extraterrestrial resources.Oxygen,crucial for supporting human life on the Moon,can be extracted from lunar regolith,which is highly rich in oxygen and contains polymetallic oxides.This oxygen and metal extraction can be achieved using existing metallurgical techniques.Furthermore,the ample reserves of water ice on the Moon offer another means for oxygen production.This paper offers a detailed overview of the leading technologies for achieving oxygen production on the Moon,drawing from an analysis of lunar resources and environmental conditions.It delves into the principles,processes,advantages,and drawbacks of water-ice electrolysis,two-step oxygen production from lunar regolith,and one-step oxygen production from lunar regolith.The two-step methods involve hydrogen reduction,carbothermal reduction,and hydrometallurgy,while the one-step methods encompass fluorination/chlorination,high-temperature decomposition,molten salt electrolysis,and molten regolith electrolysis(MOE).Following a thorough comparison of raw materials,equipment,technology,and economic viability,MOE is identified as the most promising approach for future in-situ oxygen production on the Moon.Considering the corrosion characteristics of molten lunar regolith at high temperatures,along with the Moon's low-gravity environment,the development of inexpensive and stable inert anodes and electrolysis devices that can easily collect oxygen is critical for promoting MOE technology on the Moon.This review significantly contributes to our understanding of in-situ oxygen production technologies on the Moon and supports upcoming lunar exploration initiatives.展开更多
BACKGROUND Gastric cancer(GC)is a prevalent malignancy with a substantial health burden and high mortality rate,despite advances in prevention,early detection,and treatment.Compared with the global average,Asia,notabl...BACKGROUND Gastric cancer(GC)is a prevalent malignancy with a substantial health burden and high mortality rate,despite advances in prevention,early detection,and treatment.Compared with the global average,Asia,notably China,reports disproportionately high GC incidences.The disease often progresses asymptoma-tically in the early stages,leading to delayed diagnosis and compromised out-comes.Thus,it is crucial to identify early diagnostic biomarkers and enhance treatment strategies to improve patient outcomes and reduce mortality.METHODS Retrospectively analyzed the clinical data of 148 patients with GC treated at the Civil Aviation Shanghai Hospital between December 2022 and December 2023.The associations of coagulation indices-partial thromboplastin time(APTT),prothrombin time(PT),thrombin time(TT),fibrinogen,fibrinogen degradation products(FDP),fasting blood glucose,and D-dimer(D-D)with TNM stage and distant metastasis were examined.RESULTS Prolongation of APTT,PT,and TT was significantly correlated with the GC TNM stage.Hence,abnormal coagulation system activation was closely related to disease progression.Elevated FDP and D-D were significantly associated with distant metastasis in GC(P<0.05),suggesting that increased fibrinolytic activity contributes to increased metastatic risk.CONCLUSION Our Results reveal coagulation indices,FDPs as GC biomarkers,reflecting abnormal coagulation/fibrinolysis,aiding disease progression,metastasis prediction,and helping clinicians assess thrombotic risk for early intervention and personalized treatment plans.展开更多
Natural products,with their remarkable structural and biological diversity,have historically served as a vital bridge between chemistry,the life sciences,and medicine.They not only provide essential scaffolds for drug...Natural products,with their remarkable structural and biological diversity,have historically served as a vital bridge between chemistry,the life sciences,and medicine.They not only provide essential scaffolds for drug discovery but also inspire innovative strategies in drug development.The biomimetic synthesis of natural products employs principles from biomimicry,applying inspiration from biogenetic processes to design synthetic strategies that mimic biosynthetic processes.Biomimetic synthesis is a highly efficient approach in synthetic chemistry,as it addresses critical challenges in the synthesis of structurally complex natural products with significant biological and medicinal importance.It has gained widespread attention from researchers in chemistry,biology,pharmacy,and related fields,underscoring its interdisciplinary impact.In this perspective,we present recent advances and challenges in the biomimetic synthesis of natural products,along with the significance and prospects of this field,highlighting the transformative potential of biomimetic synthesis strategies for both chemical and biosynthetic approaches to natural product synthesis in the pursuit of novel therapeutic agents.展开更多
Natural products(NPs)have historically been a fundamental source for drug discovery.Yet the complex nature of NPs presents substantial challenges in pinpointing bioactive constituents,and corresponding targets.In the ...Natural products(NPs)have historically been a fundamental source for drug discovery.Yet the complex nature of NPs presents substantial challenges in pinpointing bioactive constituents,and corresponding targets.In the present study,an innovative natural product virtual screening-interaction-phenotype(NP-VIP)strategy that integrates virtual screening,chemical proteomics,and metabolomics to identify and validate the bioactive targets of NPs.This approach reduces false positive results and enhances the efficiency of target identification.Salvia miltiorrhiza(SM),a herb with recognized therapeutic potential against ischemic stroke(IS),was used to illustrate the workflow.Utilizing virtual screening,chemical proteomics,and metabolomics,potential therapeutic targets for SM in the IS treatment were identified,totaling 29,100,and 78,respectively.Further analysis via the NP-VIP strategy highlighted five high-confidence targets,including poly[ADP-ribose]polymerase 1(PARP1),signal transducer and activator of transcription 3(STAT3),amyloid precursor protein(APP),glutamate-ammonia ligase(GLUL),and glutamate decarboxylase 67(GAD67).These targets were subsequently validated and found to play critical roles in the neuroprotective effects of SM.The study not only underscores the importance of SM in treating IS but also sets a precedent for NP research,proposing a comprehensive approach that could be adapted for broader pharmacological explorations.展开更多
Hydrogen energy from electrocatalysis driven by sustainable energy has emerged as a solution against the background of carbon neutrality.Proton exchange membrane(PEM)-based electrocatalytic systems represent a promisi...Hydrogen energy from electrocatalysis driven by sustainable energy has emerged as a solution against the background of carbon neutrality.Proton exchange membrane(PEM)-based electrocatalytic systems represent a promising technology for hydrogen production,which is equipped to combine efficiently with intermittent electricity from renewable energy sources.In this review,PEM-based electrocatalytic systems for H2 production are summarized systematically from low to high operating temperature systems.When the operating temperature is below 130℃,the representative device is a PEM water electrolyzer;its core components and respective functions,research status,and design strategies of key materials especially in electrocatalysts are presented and discussed.However,strong acidity,highly oxidative operating conditions,and the sluggish kinetics of the anode reaction of PEM water electrolyzers have limited their further development and shifted our attention to higher operating temperature PEM systems.Increasing the temperature of PEM-based electrocatalytic systems can cause an increase in current density,accelerate reaction kinetics and gas transport and reduce the ohmic value,activation losses,ΔGH*,and power consumption.Moreover,further increasing the operating temperature(120-300℃)of PEM-based devices endows various hydrogen carriers(e.g.,methanol,ethanol,and ammonia)with electrolysis,offering a new opportunity to produce hydrogen using PEM-based electrocatalytic systems.Finally,several future directions and prospects for developing PEM-based electrocatalytic systems for H_(2) production are proposed through devoting more efforts to the key components of devices and reduction of costs.展开更多
OBJECTIVE:To evaluate the therapeutic effects of Xiahuo Pingwei San(夏藿平胃散,XHPWS)on ulcerative colitis(UC)in mice and to explore the underlying mechanisms through a network pharmacology approach.METHODS:Ultra-perf...OBJECTIVE:To evaluate the therapeutic effects of Xiahuo Pingwei San(夏藿平胃散,XHPWS)on ulcerative colitis(UC)in mice and to explore the underlying mechanisms through a network pharmacology approach.METHODS:Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS)was utilized to identify the chemical composition and authenticate the active constituents of XHPWS,ensuring rigorous quality control across batches.A dextran sulfate sodium(DSS)-induced UC model was established in C57BL/6 mice,which were treated with XHPWS in vivo.The efficacy against UC was assessed by measuring parameters such as body weight,disease activity index(DAI)scores,and colon length.Levels of inflammatory cytokines,including interleukin-6(IL-6),interleukin-1β(IL-1β),and tumor necrosis factor-alpha(TNF-α),in colonic tissue were evaluated using enzymelinked immunosorbent assay(ELISA).Histological analysis of colon sections was conducted using hematoxylin and eosin staining.A network pharmacology approach was employed to explore the mechanisms of XHPWS and to predict its potential targets in UC treatment.Predicted protein expressions in colonic tissue were validated using immune-ohistochemistry(IHC)and Western blotting techniques.RESULTS:XHPWS effectively alle via ted DSS-induced UC symptoms in mice,as evidenced by restored body weight,reduced colon shortening,and decreased DAI scores.Histopathological examination revealed that XHPWS significantly reduced intestinal inflammatory infiltration,restored intestinal epithelial permeability,and increased goblet cell count.Network pharmacology analysis identified 63 active compounds in XHPWS and suggested that it might target 35 potential proteins associated with UC treatment.Functional enrichment analysis indicated that the protective mechanism of XHPWS could be related to the advanced glycation end products-receptor for advanced glycation end products(AGE-RAGE)signaling pathway.Notably,quercetin,kaempferol,wogonin,and nobiletin,the main components of XHPWS,showed strong correlations with the core targets.Additionally,experimental validation demonstrated that XHPWS significantly decreased levels of inflammatory cytokines interleukin 6(IL-6),interleukin 1 beta(IL-1β),and tumor necrosis factor alpha(TNF-α)in UC mice,while downregulating the expression of proteins related to the AGE-RAGE pathway.CONCLUSION:Our study demonstrated that XHPWS effectively alle via tes colitis symptoms and inflammation in UC mice,potentially through the regulation of the AGE-RAGE pathway.These findings provide strong evidence for the therapeutic potential of XHPWS in UC treatment,thereby broadening its clinical applications.展开更多
Interlayer is an important factor affecting the distribution of remaining oil.Accurate identification of interlayer distribution is of great significance in guiding oilfield production and development.However,the trad...Interlayer is an important factor affecting the distribution of remaining oil.Accurate identification of interlayer distribution is of great significance in guiding oilfield production and development.However,the traditional method of identifying interlayers has some limitations:(1)Due to the existence of overlaps in the cross plot for different categories of interlayers,it is difficult to establish a determined model to classify the type of interlayer;(2)Traditional identification methods only use two or three logging curves to identify the types of interlayers,making it difficult to fully utilize the information of the logging curves,the recognition accuracy will be greatly reduced;(3)For a large number of complex logging data,interlayer identification is time-consuming and laborintensive.Based on the existing well area data such as logging data and core data,this paper uses machine learning method to quantitatively identify the interlayers in the single well layer of CIII sandstone group in the M oilfield.Through the comparison of various classifiers,it is found that the decision tree method has the best applicability and the highest accuracy in the study area.Based on single well identification of interlayers,the continuity of well interval interlayers in the study area is analyzed according to the horizontal well.Finally,the influence of the continuity of interlayers on the distribution of remaining oil is verified by the spatial distribution characteristics of interlayers combined with the production situation of the M oilfield.展开更多
This paper examines the impact of digital intelligence transformation on new quality productivity in enterprises in Fujian Province.It highlights the challenges these enterprises face,such as limited talent and infras...This paper examines the impact of digital intelligence transformation on new quality productivity in enterprises in Fujian Province.It highlights the challenges these enterprises face,such as limited talent and infrastructure,in adopting technologies like cloud computing,big data,and artificial intelligence.The research finds that digital intelligence can enhance innovation,efficiency,and market adaptability,driving significant improvements in productivity.The study emphasizes the need for organizational changes and government support to overcome barriers and accelerate transformation,offering valuable insights for both academia and industry.展开更多
Gastric carcinoma(GC)is a malignancy with multifactorial involvement,multicellular regulation,and multistage evolution.The classic Correa's cascade of intestinal GC specifies a trilogy of malignant transformation ...Gastric carcinoma(GC)is a malignancy with multifactorial involvement,multicellular regulation,and multistage evolution.The classic Correa's cascade of intestinal GC specifies a trilogy of malignant transformation of the gastric mucosa,in which normal gastric mucosa gradually progresses from inactive or chronic active gastritis(Phase I)to gastric precancerous lesions(Phase II)and finally to GC(Phase III).Correa's cascade highlights the evolutionary pattern of GC and the importance of early intervention to prevent malignant transformation of the gastric mucosa.Intervening in early gastric mucosal lesions,i.e.,Phases I and II,will be the key strategy to prevent and treat GC.Natural products(NPs)have been an important source for drug development due to abundant sources,tremendous safety,and multiple pharmacodynamic mechanisms.This review is the first to investigate and summarize the multi-step effects and regulatory mechanisms of NPs on the Correa's cascade in gastric carcinogenesis.In Phase I,NPs modulate Helicobacter pylori urease activity,motility,adhesion,virulence factors,and drug resistance,thereby inhibiting H.pylori-induced gastric mucosal inflammation and oxidative stress,and facilitating ulcer healing.In Phase II,NPs modulate multiple pathways and mediators regulating gastric mucosal cell cycle,apoptosis,autophagy,and angiogenesis to reverse gastric precancerous lesions.In Phase III,NPs suppress cell proliferation,migration,invasion,angiogenesis,and cancer stem cells,induce apoptosis and autophagy,and enhance chemotherapeutic drug sensitivity for the treatment of GC.In contrast to existing work,we hope to uncover NPs with sequential therapeutic effects on multiple phases of GC development,providing new ideas for gastric cancer prevention,treatment,and drug development.展开更多
Electrocatalytic urea wastewater treatment technology has emerged as a promising method for environmental remediation.However,the realization of highly efficient and scalable electrocatalytic urea wastewater treatment...Electrocatalytic urea wastewater treatment technology has emerged as a promising method for environmental remediation.However,the realization of highly efficient and scalable electrocatalytic urea wastewater treatment(SEUWT)is still an enormous challenge.Herein,through regulating the adsorption behavior of urea functional groups,the efficient SEUWT coupled hydrogen production is realized in anion exchange membrane water electrolyzer(AEMWE).Density functional theory calculations indicate that self-driven electron transfer at the heterogeneous interface(NiO/Co_(3)O_(4))can induce charge redistribution,resulting in electron-rich NiO and electron-deficient Co_(3)O_(4),which are superior to adsorbing C=O(electron-withdrawing group)and–NH_(2)(electron-donating group),respectively,regulating the adsorption behavior of urea molecule and accelerating the reaction kinetics of urea oxidation.This viewpoint is further verified by temperature-programmed desorption experiments.The SEUWT coupled hydrogen production in AEMWE assembled with NiO/Co_(3)O_(4)(anode)and NiCoP(cathode)can continuously treat urea wastewater at an initial current density of 600 mA cm^(-2),with the average urea treatment efficiency about 53%.Compared with overall water splitting,the H_(2) production rate(8.33 mmol s^(-1))increases by approximately 3.5 times.This work provides a cost-effective strategy for scalable purifying urea-rich wastewater and energy-saving hydrogen production.展开更多
Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergist...Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergistic drug combination discovery,their applications remain constrained by experimental data fragmentation,high costs,and extensive combinatorial space.Recent developments in artificial intelligence(AI),encompassing traditional machine learning and deep learning algorithms,have been extensively applied in NPDC identification.Through the integration of multi-source heterogeneous data and autonomous feature extraction,prediction accuracy has markedly improved,offering a robust technical approach for novel NPDC discovery.This review comprehensively examines recent advances in AI-driven NPDC prediction,presents relevant data resources and algorithmic frameworks,and evaluates current limitations and future prospects.AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.展开更多
The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a block...The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.展开更多
Artificial intelligence(AI)has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research.Natural medicines,characterized by their complex chemical composit...Artificial intelligence(AI)has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research.Natural medicines,characterized by their complex chemical compositions and multifaceted pharmacological mechanisms,demonstrate widespread application in treating diverse diseases.However,research and development face significant challenges,including component complexity,extraction difficulties,and efficacy validation.AI technology,particularly through deep learning(DL)and machine learning(ML)approaches,enables efficient analysis of extensive datasets,facilitating drug screening,component analysis,and pharmacological mechanism elucidation.The implementation of AI technology demonstrates considerable potential in virtual screening,compound optimization,and synthetic pathway design,thereby enhancing natural medicines’bioavailability and safety profiles.Nevertheless,current applications encounter limitations regarding data quality,model interpretability,and ethical considerations.As AI technologies continue to evolve,natural medicines research and development will achieve greater efficiency and precision,advancing both personalized medicine and contemporary drug development approaches.展开更多
This study exhibits a design of the discharge product film of a bulk AZ63-Ce-La-Ca(AZ63X)anode for Mg-air battery.An ideal discharge product film for Mg anode is that it could inhibit the anodic hydrogen evolution but...This study exhibits a design of the discharge product film of a bulk AZ63-Ce-La-Ca(AZ63X)anode for Mg-air battery.An ideal discharge product film for Mg anode is that it could inhibit the anodic hydrogen evolution but does not hinder the transfer of the electrons at the interface.Fortunately,the addition of Ce,La,and Ca into AZ63 alloy achieves this goal.The Mg-air battery with AZ63X anode in 3.5%Na Cl has an ultrahigh anodic efficiency of 85.7±1.7%and energy-density of 2431±53 mWh g^(-1)with the unique discharge product film,surpassing the values of most reported Mg-air batteries.Furthermore,the alloying elements reduce the anode delamination effect significantly by transforming the block Mg_(17)Al_(12)phase into the connected Mg_(17)Al_(12)structure and fine rod Al_(2)RE and Al_(2)Ca.展开更多
基金Supported by the National Natural Science Foundation of China(61301189)
文摘To prevent the long-time coherent integration and limited range window stumbling blocks of stretch processing and reduce computational complexity, a novel method called multi-subpulse process of large time-bandwidth product linear frequency modulating （ LFM ） signal （ i. e. chirp ） is proposed in this paper. The wideband chirp signal is split up into several compressed subpulses. Then the fast Fourier transform （FFT） is used to reconstruct the high resolution range profile （ HR- RP） in a relative short computation time. For multi-frame, pulse Doppler （PD） process is performed to obtain the two-dimension range-Doppler （R-D） high resolution profile. Simulations and field ex- perimental results show that the proposed method can provide high-quality target profile over a large range window in a short computation time and has the promising potential for long-time coherent in- tegration.
文摘<div style="text-align:justify;"> A photonics approach to generate a linearly chirped waveform with increased TBWP is proposed and investigated. The time bandwidth product (TBWP) of the linearly chirped waveform is improved based on optical microwave frequency multiplying combined with temporal synthesis. An integrated dual-polarization modulator and an optical filter are utilized to perform frequency doubling operation by generating an orthogonally polarized optical signal, which consists of an optical carrier in one polarization direction and a second-order chirped optical sideband in another. Then the orthogonally polarized optical signal puts into a polarization modulator (PolM) to perform phase coding process. By driving a Pseudorandom (PN) sequence to the PolM, the time duration of the generated bandwidth doubled linearly chirped waveform can be synthesized to arbitrary length. The approach is verified by simulation. A linearly chirped waveform with central frequency of 8.25 GHz, bandwidth of 500 MHz, time duration of 6.4 ns is used to generate a synthesized waveform with central frequency of 16.5 GHz, bandwidth of 1 GHz, time duration of 819.2 ns. The TBWP of the linearly chirped signal is improved from 3.2 to 819.2. The proposed method features arbitrary large TBWP, and it can be used in a radar system to improve its resolution. </div>
文摘A minimal generalized time-bandwidth product-based coarse-to-fine strategy is proposed with one novel ideas highlighted: adopting a coarse-to-fine strategy to speed up the searching process. The simulation results on synthetic and real signals show the validity of the proposed method.
文摘Agricultural Products Processing and Storage(ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature)is an international,peer-reviewed open access journal with the aim to offer a platform for the rapid dissemination of signifi cant,novel,and high-impact research in the fi elds of agricultural product processing science,technology,engineering,and nutrition.Additionally,supplemental issues are curated and published to facilitate in-depth discussions on special topics.
文摘Food Science of Animal Products(ISSN:2958-4124,e-ISSN:2958-3780)is a peer-reviewed,open access international journal that publishes the latest research findings in the field of animal-origin foods,involving food materials such as meat,aquatic products,milk,eggs,animal offals and edible insects.
基金supported by the Innovation and Entrepreneurship Training Program for College Students(X2025102911746,X2025102910483).
文摘Natural product(NPT)derived from traditional Chinese medicine has a rich history as an integral part of Chinese healthcare for thousands of years.Recently,the application of NPT in sonodynamic antibacterial therapy(SDAT)has emerged as a promising area of research.This perspective summarizes the recent NPT-based sonosensitizers in SDAT.Currently,common NPT-based sonosensitizers include curcumin,chlorophyll derivatives,hypericin,and berberine.Compared with other sonosensitizers,natural sources of NPT-based sonosensitizers with reactive oxide species production performance under ultrasound conditions,low biotoxicity,and other additional biological activity make them have application prospects in bacterial removal.Finally,the potential benefits and challenges of NPT-based nanosonosensitizers were also discussed.
基金financially supported by the National Natural Science Foundation of China(Nos.52404328,52274412,and 52374418)the China Postdoctoral Science Foundation(No.2024M753248)。
文摘The rich resources and unique environment of the Moon make it an ideal location for human expansion and the utilization of extraterrestrial resources.Oxygen,crucial for supporting human life on the Moon,can be extracted from lunar regolith,which is highly rich in oxygen and contains polymetallic oxides.This oxygen and metal extraction can be achieved using existing metallurgical techniques.Furthermore,the ample reserves of water ice on the Moon offer another means for oxygen production.This paper offers a detailed overview of the leading technologies for achieving oxygen production on the Moon,drawing from an analysis of lunar resources and environmental conditions.It delves into the principles,processes,advantages,and drawbacks of water-ice electrolysis,two-step oxygen production from lunar regolith,and one-step oxygen production from lunar regolith.The two-step methods involve hydrogen reduction,carbothermal reduction,and hydrometallurgy,while the one-step methods encompass fluorination/chlorination,high-temperature decomposition,molten salt electrolysis,and molten regolith electrolysis(MOE).Following a thorough comparison of raw materials,equipment,technology,and economic viability,MOE is identified as the most promising approach for future in-situ oxygen production on the Moon.Considering the corrosion characteristics of molten lunar regolith at high temperatures,along with the Moon's low-gravity environment,the development of inexpensive and stable inert anodes and electrolysis devices that can easily collect oxygen is critical for promoting MOE technology on the Moon.This review significantly contributes to our understanding of in-situ oxygen production technologies on the Moon and supports upcoming lunar exploration initiatives.
文摘BACKGROUND Gastric cancer(GC)is a prevalent malignancy with a substantial health burden and high mortality rate,despite advances in prevention,early detection,and treatment.Compared with the global average,Asia,notably China,reports disproportionately high GC incidences.The disease often progresses asymptoma-tically in the early stages,leading to delayed diagnosis and compromised out-comes.Thus,it is crucial to identify early diagnostic biomarkers and enhance treatment strategies to improve patient outcomes and reduce mortality.METHODS Retrospectively analyzed the clinical data of 148 patients with GC treated at the Civil Aviation Shanghai Hospital between December 2022 and December 2023.The associations of coagulation indices-partial thromboplastin time(APTT),prothrombin time(PT),thrombin time(TT),fibrinogen,fibrinogen degradation products(FDP),fasting blood glucose,and D-dimer(D-D)with TNM stage and distant metastasis were examined.RESULTS Prolongation of APTT,PT,and TT was significantly correlated with the GC TNM stage.Hence,abnormal coagulation system activation was closely related to disease progression.Elevated FDP and D-D were significantly associated with distant metastasis in GC(P<0.05),suggesting that increased fibrinolytic activity contributes to increased metastatic risk.CONCLUSION Our Results reveal coagulation indices,FDPs as GC biomarkers,reflecting abnormal coagulation/fibrinolysis,aiding disease progression,metastasis prediction,and helping clinicians assess thrombotic risk for early intervention and personalized treatment plans.
基金financially supported by the National Key Research and Development Program of China(2023YFC3503902)the National Natural Science Foundation of China(82430108,82293681(82293680),and 82321004)+2 种基金the Guangdong Basic and Applied Basic Research Foundation(2022B1515120015 and 2024A1515030103)the Guangdong Major Project of Basic and Applied Basic Research(2023B0303000026)the Science and Technology Projects in Guangzhou(202102070001)。
文摘Natural products,with their remarkable structural and biological diversity,have historically served as a vital bridge between chemistry,the life sciences,and medicine.They not only provide essential scaffolds for drug discovery but also inspire innovative strategies in drug development.The biomimetic synthesis of natural products employs principles from biomimicry,applying inspiration from biogenetic processes to design synthetic strategies that mimic biosynthetic processes.Biomimetic synthesis is a highly efficient approach in synthetic chemistry,as it addresses critical challenges in the synthesis of structurally complex natural products with significant biological and medicinal importance.It has gained widespread attention from researchers in chemistry,biology,pharmacy,and related fields,underscoring its interdisciplinary impact.In this perspective,we present recent advances and challenges in the biomimetic synthesis of natural products,along with the significance and prospects of this field,highlighting the transformative potential of biomimetic synthesis strategies for both chemical and biosynthetic approaches to natural product synthesis in the pursuit of novel therapeutic agents.
基金supported by the National Natural Science Foundations of China(Grant No.:82204584)Liaoning Provincial Science and Technology Projects,China(Project No.:2021JH1/10400055).
文摘Natural products(NPs)have historically been a fundamental source for drug discovery.Yet the complex nature of NPs presents substantial challenges in pinpointing bioactive constituents,and corresponding targets.In the present study,an innovative natural product virtual screening-interaction-phenotype(NP-VIP)strategy that integrates virtual screening,chemical proteomics,and metabolomics to identify and validate the bioactive targets of NPs.This approach reduces false positive results and enhances the efficiency of target identification.Salvia miltiorrhiza(SM),a herb with recognized therapeutic potential against ischemic stroke(IS),was used to illustrate the workflow.Utilizing virtual screening,chemical proteomics,and metabolomics,potential therapeutic targets for SM in the IS treatment were identified,totaling 29,100,and 78,respectively.Further analysis via the NP-VIP strategy highlighted five high-confidence targets,including poly[ADP-ribose]polymerase 1(PARP1),signal transducer and activator of transcription 3(STAT3),amyloid precursor protein(APP),glutamate-ammonia ligase(GLUL),and glutamate decarboxylase 67(GAD67).These targets were subsequently validated and found to play critical roles in the neuroprotective effects of SM.The study not only underscores the importance of SM in treating IS but also sets a precedent for NP research,proposing a comprehensive approach that could be adapted for broader pharmacological explorations.
基金National Key R&D Program of China,Grant/Award Number:2021YFA1500900Basic and Applied Basic Research Foundation of Guangdong Province-Regional Joint Fund Project,Grant/Award Number:2021B1515120024+9 种基金Science Funds of the Education Office of Jiangxi Province,Grant/Award Number:GJJ2201324Science Funds of Jiangxi Province,Grant/Award Numbers:20242BAB25168,20224BAB213018Doctoral Research Start-up Funds of JXSTNU,Grant/Award Number:2022BSQD05China Postdoctoral Science Foundation,Grant/Award Number:2023M741121National Natural Science Foundation of China,Grant/Award Number:22172047Provincial Natural Science Foundation of Hunan,Grant/Award Number:2021JJ30089Shenzhen Science and Technology Program,Grant/Award Number:JCYJ20210324122209025Changsha Municipal Natural Science Foundation,Grant/Award Number:kq2107008Hunan Province of Huxiang Talent project,Grant/Award Number:2023rc3118Natural Science Foundation of Hunan Province,Grant/Award Number:2022JJ10006.
文摘Hydrogen energy from electrocatalysis driven by sustainable energy has emerged as a solution against the background of carbon neutrality.Proton exchange membrane(PEM)-based electrocatalytic systems represent a promising technology for hydrogen production,which is equipped to combine efficiently with intermittent electricity from renewable energy sources.In this review,PEM-based electrocatalytic systems for H2 production are summarized systematically from low to high operating temperature systems.When the operating temperature is below 130℃,the representative device is a PEM water electrolyzer;its core components and respective functions,research status,and design strategies of key materials especially in electrocatalysts are presented and discussed.However,strong acidity,highly oxidative operating conditions,and the sluggish kinetics of the anode reaction of PEM water electrolyzers have limited their further development and shifted our attention to higher operating temperature PEM systems.Increasing the temperature of PEM-based electrocatalytic systems can cause an increase in current density,accelerate reaction kinetics and gas transport and reduce the ohmic value,activation losses,ΔGH*,and power consumption.Moreover,further increasing the operating temperature(120-300℃)of PEM-based devices endows various hydrogen carriers(e.g.,methanol,ethanol,and ammonia)with electrolysis,offering a new opportunity to produce hydrogen using PEM-based electrocatalytic systems.Finally,several future directions and prospects for developing PEM-based electrocatalytic systems for H_(2) production are proposed through devoting more efforts to the key components of devices and reduction of costs.
基金the Guangdong Provincial Basic and Applied Basic Research Project:Mechanistic Study on the Regulation of Inflammatory Microenvironment and Improvement of Ulcerative Colitis by Lingnan Traditional Medicine Ficus Pandurata Hance through Wilms'Tumor 1-associating Protein-Mediated RNA Methyltransferase Promoting Toll Like Receptor 4 m6A Modification(2023A1515011699)the Zhongshan Medical Research Project:Mechanistic Study on the Action of Xiahuo Pingwei San in the Treatment of Ulcerative Colitis(2022A020446)。
文摘OBJECTIVE:To evaluate the therapeutic effects of Xiahuo Pingwei San(夏藿平胃散,XHPWS)on ulcerative colitis(UC)in mice and to explore the underlying mechanisms through a network pharmacology approach.METHODS:Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS)was utilized to identify the chemical composition and authenticate the active constituents of XHPWS,ensuring rigorous quality control across batches.A dextran sulfate sodium(DSS)-induced UC model was established in C57BL/6 mice,which were treated with XHPWS in vivo.The efficacy against UC was assessed by measuring parameters such as body weight,disease activity index(DAI)scores,and colon length.Levels of inflammatory cytokines,including interleukin-6(IL-6),interleukin-1β(IL-1β),and tumor necrosis factor-alpha(TNF-α),in colonic tissue were evaluated using enzymelinked immunosorbent assay(ELISA).Histological analysis of colon sections was conducted using hematoxylin and eosin staining.A network pharmacology approach was employed to explore the mechanisms of XHPWS and to predict its potential targets in UC treatment.Predicted protein expressions in colonic tissue were validated using immune-ohistochemistry(IHC)and Western blotting techniques.RESULTS:XHPWS effectively alle via ted DSS-induced UC symptoms in mice,as evidenced by restored body weight,reduced colon shortening,and decreased DAI scores.Histopathological examination revealed that XHPWS significantly reduced intestinal inflammatory infiltration,restored intestinal epithelial permeability,and increased goblet cell count.Network pharmacology analysis identified 63 active compounds in XHPWS and suggested that it might target 35 potential proteins associated with UC treatment.Functional enrichment analysis indicated that the protective mechanism of XHPWS could be related to the advanced glycation end products-receptor for advanced glycation end products(AGE-RAGE)signaling pathway.Notably,quercetin,kaempferol,wogonin,and nobiletin,the main components of XHPWS,showed strong correlations with the core targets.Additionally,experimental validation demonstrated that XHPWS significantly decreased levels of inflammatory cytokines interleukin 6(IL-6),interleukin 1 beta(IL-1β),and tumor necrosis factor alpha(TNF-α)in UC mice,while downregulating the expression of proteins related to the AGE-RAGE pathway.CONCLUSION:Our study demonstrated that XHPWS effectively alle via tes colitis symptoms and inflammation in UC mice,potentially through the regulation of the AGE-RAGE pathway.These findings provide strong evidence for the therapeutic potential of XHPWS in UC treatment,thereby broadening its clinical applications.
基金supported by the Natural Science Basic Research Program of Shaanxi(2024JC-YBMS-202).
文摘Interlayer is an important factor affecting the distribution of remaining oil.Accurate identification of interlayer distribution is of great significance in guiding oilfield production and development.However,the traditional method of identifying interlayers has some limitations:(1)Due to the existence of overlaps in the cross plot for different categories of interlayers,it is difficult to establish a determined model to classify the type of interlayer;(2)Traditional identification methods only use two or three logging curves to identify the types of interlayers,making it difficult to fully utilize the information of the logging curves,the recognition accuracy will be greatly reduced;(3)For a large number of complex logging data,interlayer identification is time-consuming and laborintensive.Based on the existing well area data such as logging data and core data,this paper uses machine learning method to quantitatively identify the interlayers in the single well layer of CIII sandstone group in the M oilfield.Through the comparison of various classifiers,it is found that the decision tree method has the best applicability and the highest accuracy in the study area.Based on single well identification of interlayers,the continuity of well interval interlayers in the study area is analyzed according to the horizontal well.Finally,the influence of the continuity of interlayers on the distribution of remaining oil is verified by the spatial distribution characteristics of interlayers combined with the production situation of the M oilfield.
基金Innovation and Entrepreneurship Training Program of Minjiang University,“Research on the Impact of Digital Intelligence Empowerment on the New Quality Productivity of Specialized and Innovative Enterprises and the Realization Path”(Project No.:202410395029)。
文摘This paper examines the impact of digital intelligence transformation on new quality productivity in enterprises in Fujian Province.It highlights the challenges these enterprises face,such as limited talent and infrastructure,in adopting technologies like cloud computing,big data,and artificial intelligence.The research finds that digital intelligence can enhance innovation,efficiency,and market adaptability,driving significant improvements in productivity.The study emphasizes the need for organizational changes and government support to overcome barriers and accelerate transformation,offering valuable insights for both academia and industry.
基金supported by the Chengdu University of Traditional Chinese Medicine"Xinglin Scholars"Program,China(Grant No.:MPRC2023014).
文摘Gastric carcinoma(GC)is a malignancy with multifactorial involvement,multicellular regulation,and multistage evolution.The classic Correa's cascade of intestinal GC specifies a trilogy of malignant transformation of the gastric mucosa,in which normal gastric mucosa gradually progresses from inactive or chronic active gastritis(Phase I)to gastric precancerous lesions(Phase II)and finally to GC(Phase III).Correa's cascade highlights the evolutionary pattern of GC and the importance of early intervention to prevent malignant transformation of the gastric mucosa.Intervening in early gastric mucosal lesions,i.e.,Phases I and II,will be the key strategy to prevent and treat GC.Natural products(NPs)have been an important source for drug development due to abundant sources,tremendous safety,and multiple pharmacodynamic mechanisms.This review is the first to investigate and summarize the multi-step effects and regulatory mechanisms of NPs on the Correa's cascade in gastric carcinogenesis.In Phase I,NPs modulate Helicobacter pylori urease activity,motility,adhesion,virulence factors,and drug resistance,thereby inhibiting H.pylori-induced gastric mucosal inflammation and oxidative stress,and facilitating ulcer healing.In Phase II,NPs modulate multiple pathways and mediators regulating gastric mucosal cell cycle,apoptosis,autophagy,and angiogenesis to reverse gastric precancerous lesions.In Phase III,NPs suppress cell proliferation,migration,invasion,angiogenesis,and cancer stem cells,induce apoptosis and autophagy,and enhance chemotherapeutic drug sensitivity for the treatment of GC.In contrast to existing work,we hope to uncover NPs with sequential therapeutic effects on multiple phases of GC development,providing new ideas for gastric cancer prevention,treatment,and drug development.
基金supported by the National Natural Science Foundation of China(Grant Nos.22162025,22168040)the Youth Innovation Team of Shaanxi Universities,the Open and Innovation Fund of Hubei Three Gorges Laboratory(SK232001)the Regional Innovation Capability Leading Program of Shaanxi(2022QFY07-03,2022QFY07-06).
文摘Electrocatalytic urea wastewater treatment technology has emerged as a promising method for environmental remediation.However,the realization of highly efficient and scalable electrocatalytic urea wastewater treatment(SEUWT)is still an enormous challenge.Herein,through regulating the adsorption behavior of urea functional groups,the efficient SEUWT coupled hydrogen production is realized in anion exchange membrane water electrolyzer(AEMWE).Density functional theory calculations indicate that self-driven electron transfer at the heterogeneous interface(NiO/Co_(3)O_(4))can induce charge redistribution,resulting in electron-rich NiO and electron-deficient Co_(3)O_(4),which are superior to adsorbing C=O(electron-withdrawing group)and–NH_(2)(electron-donating group),respectively,regulating the adsorption behavior of urea molecule and accelerating the reaction kinetics of urea oxidation.This viewpoint is further verified by temperature-programmed desorption experiments.The SEUWT coupled hydrogen production in AEMWE assembled with NiO/Co_(3)O_(4)(anode)and NiCoP(cathode)can continuously treat urea wastewater at an initial current density of 600 mA cm^(-2),with the average urea treatment efficiency about 53%.Compared with overall water splitting,the H_(2) production rate(8.33 mmol s^(-1))increases by approximately 3.5 times.This work provides a cost-effective strategy for scalable purifying urea-rich wastewater and energy-saving hydrogen production.
基金supported by National Natural Science Foundation of China(Nos.82404511,82373790)Central Guidance on Local Science and Technology Development Fund of Hebei Province(No.226Z2605G)Program for Young Scientists in the Field of Natural Science of Hebei Medical University(No.CYCZ2023011).
文摘Natural product-based drug combinations(NPDCs)present distinctive advantages in treating complex diseases.While high-throughput screening(HTS)and conventional computational methods have partially accelerated synergistic drug combination discovery,their applications remain constrained by experimental data fragmentation,high costs,and extensive combinatorial space.Recent developments in artificial intelligence(AI),encompassing traditional machine learning and deep learning algorithms,have been extensively applied in NPDC identification.Through the integration of multi-source heterogeneous data and autonomous feature extraction,prediction accuracy has markedly improved,offering a robust technical approach for novel NPDC discovery.This review comprehensively examines recent advances in AI-driven NPDC prediction,presents relevant data resources and algorithmic frameworks,and evaluates current limitations and future prospects.AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
基金supported in part by the National Natural Science Foundation of China(62273310)the Natural Science Foundation of Zhejiang Province of China(LY22F030006,LZ24F030009)
文摘The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.
基金supports from the National Key Research and Development Program of China(No.2020YFE0202200)the National Natural Science Foundation of China(Nos.81903538,82322073,92253303)+1 种基金the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(No.ZYYCXTD-D-202004)the Science and Technology Commission of Shanghai Municipality(Nos.22ZR1474200,24JS2830200).
文摘Artificial intelligence(AI)has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research.Natural medicines,characterized by their complex chemical compositions and multifaceted pharmacological mechanisms,demonstrate widespread application in treating diverse diseases.However,research and development face significant challenges,including component complexity,extraction difficulties,and efficacy validation.AI technology,particularly through deep learning(DL)and machine learning(ML)approaches,enables efficient analysis of extensive datasets,facilitating drug screening,component analysis,and pharmacological mechanism elucidation.The implementation of AI technology demonstrates considerable potential in virtual screening,compound optimization,and synthetic pathway design,thereby enhancing natural medicines’bioavailability and safety profiles.Nevertheless,current applications encounter limitations regarding data quality,model interpretability,and ethical considerations.As AI technologies continue to evolve,natural medicines research and development will achieve greater efficiency and precision,advancing both personalized medicine and contemporary drug development approaches.
基金supported by the National Natural Science Foundation of China(52471095)National Key Research and Development Program of China(Grant No.2023YFC2811404)Natural Science Foundation of Xiamen,China(No.3502Z20227015)。
文摘This study exhibits a design of the discharge product film of a bulk AZ63-Ce-La-Ca(AZ63X)anode for Mg-air battery.An ideal discharge product film for Mg anode is that it could inhibit the anodic hydrogen evolution but does not hinder the transfer of the electrons at the interface.Fortunately,the addition of Ce,La,and Ca into AZ63 alloy achieves this goal.The Mg-air battery with AZ63X anode in 3.5%Na Cl has an ultrahigh anodic efficiency of 85.7±1.7%and energy-density of 2431±53 mWh g^(-1)with the unique discharge product film,surpassing the values of most reported Mg-air batteries.Furthermore,the alloying elements reduce the anode delamination effect significantly by transforming the block Mg_(17)Al_(12)phase into the connected Mg_(17)Al_(12)structure and fine rod Al_(2)RE and Al_(2)Ca.
