Deep neural networks(DNNs)are effective in solving both forward and inverse problems for nonlinear partial differential equations(PDEs).However,conventional DNNs are not effective in handling problems such as delay di...Deep neural networks(DNNs)are effective in solving both forward and inverse problems for nonlinear partial differential equations(PDEs).However,conventional DNNs are not effective in handling problems such as delay differential equations(DDEs)and delay integrodifferential equations(DIDEs)with constant delays,primarily due to their low regularity at delayinduced breaking points.In this paper,a DNN method that combines multi-task learning(MTL)which is proposed to solve both the forward and inverse problems of DIDEs.The core idea of this approach is to divide the original equation into multiple tasks based on the delay,using auxiliary outputs to represent the integral terms,followed by the use of MTL to seamlessly incorporate the properties at the breaking points into the loss function.Furthermore,given the increased training dificulty associated with multiple tasks and outputs,we employ a sequential training scheme to reduce training complexity and provide reference solutions for subsequent tasks.This approach significantly enhances the approximation accuracy of solving DIDEs with DNNs,as demonstrated by comparisons with traditional DNN methods.We validate the effectiveness of this method through several numerical experiments,test various parameter sharing structures in MTL and compare the testing results of these structures.Finally,this method is implemented to solve the inverse problem of nonlinear DIDE and the results show that the unknown parameters of DIDE can be discovered with sparse or noisy data.展开更多
Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequent...Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequential Convex Programming(SFC-SCP)to improve the computation efficiency and reliability of trajectory generation.SFC-SCP combines the front-end convex polyhedron SFC construction and back-end SCP-based trajectory optimization.A Sparse A^(*)Search(SAS)driven SFC construction method is designed to efficiently generate polyhedron SFC according to the geometric relation among obstacles and collision-free waypoints.Via transforming the nonconvex obstacle-avoidance constraints to linear inequality constraints,SFC can mitigate infeasibility of trajectory planning and reduce computation complexity.Then,SCP casts the nonlinear trajectory optimization subject to SFC into convex programming subproblems to decrease the problem complexity.In addition,a convex optimizer based on interior point method is customized,where the search direction is calculated via successive elimination to further improve efficiency.Simulation experiments on dense obstacle scenarios show that SFC-SCP can generate dynamically feasible safe trajectory rapidly.Comparative studies with state-of-the-art SCP-based methods demonstrate the efficiency and reliability merits of SFC-SCP.Besides,the customized convex optimizer outperforms off-the-shelf optimizers in terms of computation time.展开更多
Identification of the most appropriate chemically extractable pool for evaluating Cd and Pb availability remains elusive,hindering accurate assessment on environmental risks and effectiveness of remediation strategies...Identification of the most appropriate chemically extractable pool for evaluating Cd and Pb availability remains elusive,hindering accurate assessment on environmental risks and effectiveness of remediation strategies.This study evaluated the feasibility of European Community Bureau of Reference(BCR)sequential extraction,Ca(NO_(3))_(2)extraction,and water extraction on assessing Cd and Pb availability in agricultural soil amended with slaked lime,magnesium hydroxide,corn stover biochar,and calcium dihydrogen phosphate.Moreover,the enriched isotope tracing technique(^(112)Cd and^(206)Pb)was employed to evaluate the aging process of newly introduced Cd and Pbwithin 56 days’incubation.Results demonstrated that extractable pools by BCR and Ca(NO_(3))_(2)extraction were little impacted by amendments and showed little correlation with soil pH.This is notable because soil pH is closely linked to metal availability,indicating these extraction methods may not adequately reflect metal availability.Conversely,water-soluble concentrations of Cd and Pb were markedly influenced by amendments and exhibited strong correlations with pH(Pearson’s r:-0.908 to-0.825,P<0.001),suggesting water extraction as a more sensitive approach.Furthermore,newly introduced metals underwent a more evident aging process as demonstrated by acid-soluble and water-soluble pools.Additionally,water-soluble concentrations of essential metals were impacted by soil amendments,raising caution on their potential effects on plant growth.These findings suggest water extraction as a promising and attractive method to evaluate Cd and Pb availability,which will help provide assessment guidance for environmental risks caused by heavy metals and develop efficient remediation strategies.展开更多
Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models...Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.展开更多
Hollow multi-shelled structure(HoMS)is the novel multifunctional structural system,which are con-structed with nanoparticles as structural units,featuring two or more shells,multiple interfaces,and numerous chan-nels ...Hollow multi-shelled structure(HoMS)is the novel multifunctional structural system,which are con-structed with nanoparticles as structural units,featuring two or more shells,multiple interfaces,and numerous chan-nels and demonstrating outstanding properties in energy conversion and mass transfer.In recent years,owing to the breakthroughs in synthetic methods,the diversity of composition and structure of HoMS has been greatly enriched,showing broad application prospects in energy,catalysis,environment and other fields.This review focuses on the research status of HoMS for catalytic applications.Firstly,the new synthesis method for HoMS,namely the sequen-tial templating approach,is introduced from both practical and theoretical perspectives.Then,it summarizes and discusses the structure-performance relationship between the shell structure and catalytic performance.The unique temporal-spatial ordering property of mass transport in HoMS and the major breakthroughs it brings in catalytic applications are discussed.Finally,it looks forward to the opportunities and challenges in the development of HoMS.展开更多
Bacterial infection,excessive inflammatory response,and impaired angiogenesis caused by the hyperglycemic microenvironment of diabetic wounds are the primary factors of non-healing wounds.Most contemporary wound repai...Bacterial infection,excessive inflammatory response,and impaired angiogenesis caused by the hyperglycemic microenvironment of diabetic wounds are the primary factors of non-healing wounds.Most contemporary wound repair materials passively release loaded drugs,resulting in poor therapeutic outcomes.In this study,we designed sequentially triggered triple-responsive hydrogels containing alginate(ALG)-phenylboronic acid(PBA),copper polydopamine(Cu-PDA),metformin(MET),and deferoxamine mesylate(DFO)to cover the continuous process of diabetic-infected wound healing and improve the wound microenvironment through warming in the infectious phase and on-demand drug release in the inflammatory and proliferative phase.The hydrogels exhibited good adhesivity,injectability,self-healing ability,and biocompatibility.The hydrogels show remarkable photothermal responsiveness due to the presence of PDA.Studies showed that appropriate high temperatures and the release of Cu2+resulted in the hydrogels displaying excellent bactericidal properties in the infectious phase.Furthermore,the instability of the phenyl borate bond in a hyperglycemic and acidic microenvironment enables the glucose/pH responsiveness of the release of MET and DFO from the hydrogels.Mechanistic studies have shown that the hydrogels could suppress the activity of the NOD-,LRR-,and pyrin structural domain-containing protein 3(NLRP3)/caspase-1/GasderminD(GSDMD)/IL-1βpathway and activate the hypoxia-inducible factor 1 alpha(HIF-1α)/vascular endothelial growth factor(VEGF)pathway.These effects enabled the hydrogels to promote the healing of diabetic-infected wounds.展开更多
Achieving artificial simulations of multi-step energy transfer processes and conversions in nature remains a challenge.In this study,we present a three-step sequential energy transfer process,which was constructed thr...Achieving artificial simulations of multi-step energy transfer processes and conversions in nature remains a challenge.In this study,we present a three-step sequential energy transfer process,which was constructed through host-vip interactions between a piperazine derivative(PPE-BPI)with aggregationinduced emission(AIE)and cucurbit[7]uril(CB[7])in water to serve as ideal energy donors.To achieve multi-step sequential energy transfer,we employ three distinct fluorescent dyes Eosin B(EsB),Sulforhodamine 101(SR101),and Cyanine 5(Cy5)as energy acceptors.The PPE-PBI-2CB[7]+EsB+SR101+Cy5 system demonstrates a highly efficient three-step sequential energy transfer mechanism,starting with PPEPBI-2CB[7]and transferring energy successively to EsB,SR101,and finally to Cy5,with remarkable energy transfer efficiencies.More interestingly,with the progressive transfer of energy in the multi-step energy transfer system,the generation efficiency of superoxide anion radical(O_(2)•-)increased gradually,which can be used as photocatalysts for selectively photooxidation of N-phenyltetrahydroisoquinoline in an aqueous medium with a high yield of 86%after irradiation for 18 h.This study offers a valuable investigation into the simulation of multi-step energy transfer processes and transformations in the natural world,paving the way for further research in the field.展开更多
Background:Recent scholarly attention has increasingly focused on filial piety beliefs'impact on youth's psychological development.However,the mechanisms by which filial piety indirectly influences adolescent ...Background:Recent scholarly attention has increasingly focused on filial piety beliefs'impact on youth's psychological development.However,the mechanisms by which filial piety indirectly influences adolescent autonomy through depression and well-being remain underexplored.This study aimed to test a sequential mediation model among filial piety beliefs,depression,well-being,and autonomy in Taiwan region of China university students.Methods:A total of 566 Taiwan region of China undergraduate and graduate students,comprising 390 females and 176 males,and including 399 undergraduates and 167 graduate students,were recruited through convenience sampling.Data were collected via an online questionnaire.Validated instruments were employed,including the Filial Piety Scale(FPS),the Center for Epidemiological Studies Depression Scale(CES-D),the Chinese Well-being Inventory(CHI),and the Adolescent Autonomy Scale-Short Form(AAS-SF).Statistical analyses included group comparisons,correlation analyses,and structural equation modeling to examine the hypothesized relationships and mediation effects.Results:The results revealed that filial piety beliefs exerted a significant positive impact on adolescent autonomy,with depression and well-being serving as key mediators in this relationship.A sequential mediation effect was confirmed through structural equation modeling(β=0.052,95%CI[0.028,0.091]),with good model fit indices(x^(2)/df=4.25,RMSEA=0.076,CFI=0.968),supporting the hypothesized pathway from filial piety to autonomy via depression and well-being.In terms of demographic differences,male students showed significantly higher autonomy than females(p<0.001);students from single-parent families reported significantly higher depression levels than those from two-parent families(p<0.05);and graduate students exhibited significantly higher autonomy and well-being than undergraduates(p<0.05).Conclusions:These findings underscore not only the importance of filial piety beliefs for developing youth autonomy but also the critical role that mental health factors,such as depression and well-being,play in this process.The study concludes with a discussion of both theoretical implications and practical recommendations.These include strategies to foster reciprocal filial piety,strengthen parent-child relationships,and promote mental health.Additionally,the study outlines its limitations and proposes directions for future research.展开更多
Tailings produced by mining and ore smelting are a major source of soil pollution.Understanding the speciation of heavy metals(HMs)in tailings is essential for soil remediation and sustainable development.Given the co...Tailings produced by mining and ore smelting are a major source of soil pollution.Understanding the speciation of heavy metals(HMs)in tailings is essential for soil remediation and sustainable development.Given the complex and time-consuming nature of traditional sequential laboratory extraction methods for determining the forms of HMs in tailings,a rapid and precise identification approach is urgently required.To address this issue,a general empirical prediction method for HM occurrence was developed using machine learning(ML).The compositional information of the tailings,properties of the HMs,and sequential extraction steps were used as inputs to calculate the percentages of the seven forms of HMs.After the models were tuned and compared,extreme gradient boosting,gradient boosting decision tree,and categorical boosting methods were found to be the top three performing ML models,with the coefficient of determination(R^(2))values on the testing set exceeding 0.859.Feature importance analysis for these three optimal models indicated that electronegativity was the most important factor affecting the occurrence of HMs,with an average feature importance of 0.4522.The subsequent use of stacking as a model integration method enabled the ability of the ML models to predict HM occurrence forms to be further improved,and resulting in an increase of R^(2) to 0.879.Overall,this study developed a robust technique for predicting the occurrence forms in tailings and provides an important reference for the environmental assessment and recycling of tailings.展开更多
A gradient coating containing collagen and inorganic strontium/calcium phosphate(Sr/CaP)was fabricated on plasma-electrolytically oxidised magnesium via one-step cathodic electrodeposition.First,Sr-doped dicalcium pho...A gradient coating containing collagen and inorganic strontium/calcium phosphate(Sr/CaP)was fabricated on plasma-electrolytically oxidised magnesium via one-step cathodic electrodeposition.First,Sr-doped dicalcium phosphate dihydrate and hydroxyapatite(DCPD and HA)was deposited,followed by a collagen/CaP layer.The morphological evolution,sequential degradation behaviour,and in vitro bio-properties of the coatings were investigated.The incorporation of collagen remarkably refined the morphology of the CaP,and a more aggregated nano-spherical morphology was observed with increasing collagen concentration.Sr could partially replace Ca in the CaP crystals.Collagen combined with CaP formed a relatively stable skeletal frame,which provided sufficient barrier properties and more sites for the re-precipitation of bone tissue,as well as a more promising proliferation and differentiation ability of osteoblasts.A gradient coating that matches the requirements of bone growth at various periods is suggested for implantation.展开更多
Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency....Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency.We aimed to evaluate the ability of five common stomach-specific serum biomarkers to further enrich high-risk individuals for GC in the questionnaire-identified high-risk population.Methods:This study was conducted based on a risk-based screening program in Ningxia Hui Autonomous Region,China.We first performed questionnaire assessment involving 23,381 individuals(7,042 outpatients and 16,339 individuals from the community),and those assessed as“high-risk”were then invited to participate in serological assays and endoscopic examinations.The serological biomarker model was derived based on logistic regression,with predictors selected via the Akaike information criterion.Model performance was evaluated by the area under the receiver operating characteristic curve(AUC).Results:A total of 2,011 participants were ultimately included for analysis.The final serological biomarker model had three predictors,comprising pepsinogenⅠ(PGI),pepsinogenⅠ/Ⅱratio(PGR),and anti-Helicobacter pylori immunoglobulin G(anti-H.pylori IgG)antibodies.This model generated an AUC of 0.733(95%confidence interval:0.655-0.812)and demonstrated the best discriminative ability compared with previously developed serological biomarker models.As the risk cut-off value of our model rose,the detection rate increased and the number of endoscopies needed to detect one case decreased.Conclusions:PGI,PGR,and anti-H.pylori Ig G could be jointly used to further enrich high-risk individuals for GC among those selected by questionnaire assessment,providing insight for the development of a multi-stage riskbased sequential strategy for GC screening.展开更多
Polycyclic compounds are widely found in natural products and drug molecules with important biological activities,which attracted the attention of many chemists.Phosphine-catalyzed nucleophilic addition is one of the ...Polycyclic compounds are widely found in natural products and drug molecules with important biological activities,which attracted the attention of many chemists.Phosphine-catalyzed nucleophilic addition is one of the most powerful tools for the construction of various cyclic compounds with the advantages of atom economy,mild reaction conditions and simplicity of operation.Allenolates,Morita−Baylis−Hillman(MBH)alcohols and their derivatives(MBHADs),electron-deficient olefins and alkynes are very efficient substrates in phosphine mediated annulations,which formed many phosphonium species such asβ-phosphonium enolates,β-phosphonium dienolates and vinyl phosphonium ylides as intermediates.This review describes the reactivities of these phosphonium zwitterions and summarizes the synthesis of polycycle compounds through phosphine-mediated intramolecular and intermolecular sequential annulations.Thus,a systematic summary of the research process based on the phosphine-mediated sequential annulations of allenolates,MBH alcohols and MBHADs,electron-deficient olefins and alkynes are presented in Chapters 2-6,respectively.展开更多
Sequential processing(SqP)of the active layer offers independent optimization of the donor and acceptor with more targeted solvent design,which is considered the most promising strategy for achieving efficient organic...Sequential processing(SqP)of the active layer offers independent optimization of the donor and acceptor with more targeted solvent design,which is considered the most promising strategy for achieving efficient organic solar cells(OSCs).In the SqP method,the favorable interpenetrating network seriously depends on the fine control of the bottom layer swelling.However,the choice of solvent(s)for both the donor and acceptor have been mostly based on a trial-and-error manner.A single solvent often cannot achieve sufficient yet not excessive swelling,which has long been a difficulty in the high efficient SqP OSCs.Herein,two new isomeric molecules are introduced to fine-tune the nucleation and crystallization dynamics that allows judicious control over the swelling of the bottom layer.The strong non-covalent interaction between the isomeric molecule and active materials provides an excellent driving force for optimize the swelling-process.Among them,the molecule with high dipole moment promotes earlier nucleation of the PM6 and provides extended time for crystallization during SqP,improving bulk morphology and vertical phase segregation.As a result,champion efficiencies of 17.38%and 20.00%(certified 19.70%)are achieved based on PM6/PYF-T-o(all-polymer)and PM6/BTP-eC9 devices casted by toluene solvent.展开更多
The synthesis of functionalized rubber copolymers is a topic of great research interest.In this study,we present a novel approach for the direct construction ofα-functionalized 3,4-polyisoprene through polymerization...The synthesis of functionalized rubber copolymers is a topic of great research interest.In this study,we present a novel approach for the direct construction ofα-functionalized 3,4-polyisoprene through polymerization of polar monomers and isoprene monomer.Theα-functionalized 3,4-polyisoprene was successfully synthesized via in situ sequential polymerization using the iron-based catalytic system(Fe(acac)_(3)/IITP/AliBu_(3)),exhibiting high activity and resistance to polar monomers without requiring protection of polar groups.The structure ofα-functionalized 3,4-polyisoprene was confirmed by proton nuclear magnetic resonance spectroscopy(^(1)H-NMR)and two-dimensional diffusion-ordered spectroscopy(2D DOSY)spectra analysis.The introduction of polar groups,particularly hydroxyl groups,enhanced the hydrophilicity of the copolymer.This was evidenced by a decrease in the water contact angle from 106.9°to 96.4°with increasing hydroxyl content in the copolymer.展开更多
Antitumor nanomedicines are usually decorated with ligands to achieve multiple functions,such as targeting delivery,tissue penetration and enhanced cellular uptake.However,a single ligand with multiple functions is ge...Antitumor nanomedicines are usually decorated with ligands to achieve multiple functions,such as targeting delivery,tissue penetration and enhanced cellular uptake.However,a single ligand with multiple functions is generally preferred for use in practice.Herein,a versatile peptide,(HE)_(10)G_(5)R_(6)GDK(HE-RK),was engineered by integrating several motifs into a single sequence,including a masking segment(HE),a flexible linker(G_(5)),and a tumor-penetrating head(RK)which comprised a cell-penetrating peptide(R_(6))and a C-end Rule peptide(RGDK).The RK moiety in HE-RK was sequentially activated following the gradual charge reversal of HE to facilitate the accumulation of its cargos in deep tumor tissue and the cytosol of cancer cells.Moreover,in our study,polymer micelles conjugated with the HE-RK peptide(PM-HE-RK)showed superior cellular internalization at pH 6.5 compared to pH 7.4 in vitro,as well as extended blood circulation time and improved tumor targeting and penetration in vivo.Furthermore,the paclitaxel-loaded micelles(PTX/PM-HERK)demonstrated considerable antitumor efficacy,with an 81.48%tumor inhibition rate in the 4T1 mouse model.Overall,the construction of this all-in-one multisegment peptide presents a synergistic and complementary approach to advancing multifunctional peptide ligand design.展开更多
Sequential-modular-based process flowsheeting software remains an indispensable tool for process design,control,and optimization.Yet,as the process industry advances in intelligent operation and maintenance,convention...Sequential-modular-based process flowsheeting software remains an indispensable tool for process design,control,and optimization.Yet,as the process industry advances in intelligent operation and maintenance,conventional sequential-modular-based process-simulation techniques present challenges regarding computationally intensive calculations and significant central processing unit(CPU)time requirements,particularly in large-scale design and optimization tasks.To address these challenges,this paper proposes a novel process-simulation parallel computing framework(PSPCF).This framework achieves layered parallelism in recycling processes at the unit operation level.Notably,PSPCF introduces a groundbreaking concept of formulating simulation problems as task graphs and utilizes Taskflow,an advanced task graph computing system,for hierarchical parallel scheduling and the execution of unit operation tasks.PSPCF also integrates an advanced work-stealing scheme to automatically balance thread resources with the demanding workload of unit operation tasks.For evaluation,both a simpler parallel column process and a more complex cracked gas separation process were simulated on a flowsheeting platform using PSPCF.The framework demonstrates significant time savings,achieving over 60%reduction in processing time for the simpler process and a 35%–40%speed-up for the more complex separation process.展开更多
Recently,many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences.However,these methods tend to focus more on low-frequency information while neglecting highfrequency informatio...Recently,many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences.However,these methods tend to focus more on low-frequency information while neglecting highfrequency information,which makes them ineffective in balancing users’long-and short-term preferences.At the same time,manymethods overlook the potential of frequency domainmethods,ignoring their efficiency in processing frequency information.To overcome this limitation,we shift the focus to the combination of time and frequency domains and propose a novel Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation,namely HyTiFRec.Specifically,we design two hybrid filter modules:the learnable hybrid filter(LHF)and the window hybrid filter(WHF).We combine these with the Efficient Attention(EA)module to form the dual-branch structure to replace the self-attention components in Transformers.The EAmodule is used to extract sequential and global information.The LHF andWHF modules balance the proportion of different frequency bands,with LHF globally modulating the spectrum in the frequency domain and WHF retaining frequency components within specific local frequency bands.Furthermore,we use a time domain residual information addition operation in the hybrid filter module,which reduces information loss and further facilitates the hybrid of time-frequency methods.Extensive experiments on five widely-used real-world datasets show that our proposed method surpasses state-of-the-art methods.展开更多
Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently r...Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently realize load balancing.However,such a ubiquitous caching approach may cause problems including duplicate caching and low data diversity,thus reducing the caching efficiency of NDN routers.To mitigate these caching problems and improve the NDN caching efficiency,in this paper,a hierarchical-based sequential caching(HSC)scheme is proposed.In this scheme,the NDN routers in the data transmission path are divided into various levels and data with different request frequencies are cached in distinct router levels.The aim is to cache data with high request frequencies in the router that is closest to the content requester to increase the response probability of the nearby data,improve the data caching efficiency of named data networks,shorten the response time,and reduce cache redundancy.Simulation results show that this scheme can effectively improve the cache hit rate(CHR)and reduce the average request delay(ARD)and average route hop(ARH).展开更多
The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different re...The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different reaction channels.Theγ-rays coincident with^(3)He/^(3)H indicate that the^(3)H/^(3)He stripping reaction plays a significant role in the formation of Zr/Nb isotopes.The obtained results support the existence of a^(3)He-^(3)H cluster in^(6)Li.Direct and sequential transfer reactions are adequately discussed,and the FRESCO code is used to perform precise finite-range cyclic redundancy check calculations.In the microscopic calculation,direct cluster transfer is more predominant than sequential transfer in^(3)H transfer.However,the direct cluster transfer is of comparable magnitude to the sequential transfer in the^(3)He transfer.展开更多
Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squ...Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squares programming(SLSQP)algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV.These algorithms were further examined using 200 sample mass formulae derived from theδE term of the E_(isospin) mass model.The SLSQP method exhibited superior performance compared to the other algorithms in terms of errors and convergence speed.This algorithm is advantageous for handling large-scale multiparameter optimization tasks in nuclear physics.展开更多
文摘Deep neural networks(DNNs)are effective in solving both forward and inverse problems for nonlinear partial differential equations(PDEs).However,conventional DNNs are not effective in handling problems such as delay differential equations(DDEs)and delay integrodifferential equations(DIDEs)with constant delays,primarily due to their low regularity at delayinduced breaking points.In this paper,a DNN method that combines multi-task learning(MTL)which is proposed to solve both the forward and inverse problems of DIDEs.The core idea of this approach is to divide the original equation into multiple tasks based on the delay,using auxiliary outputs to represent the integral terms,followed by the use of MTL to seamlessly incorporate the properties at the breaking points into the loss function.Furthermore,given the increased training dificulty associated with multiple tasks and outputs,we employ a sequential training scheme to reduce training complexity and provide reference solutions for subsequent tasks.This approach significantly enhances the approximation accuracy of solving DIDEs with DNNs,as demonstrated by comparisons with traditional DNN methods.We validate the effectiveness of this method through several numerical experiments,test various parameter sharing structures in MTL and compare the testing results of these structures.Finally,this method is implemented to solve the inverse problem of nonlinear DIDE and the results show that the unknown parameters of DIDE can be discovered with sparse or noisy data.
基金supported by the National Natural Science Foundation of China(No.62203256)。
文摘Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequential Convex Programming(SFC-SCP)to improve the computation efficiency and reliability of trajectory generation.SFC-SCP combines the front-end convex polyhedron SFC construction and back-end SCP-based trajectory optimization.A Sparse A^(*)Search(SAS)driven SFC construction method is designed to efficiently generate polyhedron SFC according to the geometric relation among obstacles and collision-free waypoints.Via transforming the nonconvex obstacle-avoidance constraints to linear inequality constraints,SFC can mitigate infeasibility of trajectory planning and reduce computation complexity.Then,SCP casts the nonlinear trajectory optimization subject to SFC into convex programming subproblems to decrease the problem complexity.In addition,a convex optimizer based on interior point method is customized,where the search direction is calculated via successive elimination to further improve efficiency.Simulation experiments on dense obstacle scenarios show that SFC-SCP can generate dynamically feasible safe trajectory rapidly.Comparative studies with state-of-the-art SCP-based methods demonstrate the efficiency and reliability merits of SFC-SCP.Besides,the customized convex optimizer outperforms off-the-shelf optimizers in terms of computation time.
基金supported by the National Natural Science Foundation of Shandong(No.ZR2020ZD20)the National Natural Science Foundation of China(No.22193051)+1 种基金the National Young Top-Notch Talents(No.W03070030)the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.Y202011).
文摘Identification of the most appropriate chemically extractable pool for evaluating Cd and Pb availability remains elusive,hindering accurate assessment on environmental risks and effectiveness of remediation strategies.This study evaluated the feasibility of European Community Bureau of Reference(BCR)sequential extraction,Ca(NO_(3))_(2)extraction,and water extraction on assessing Cd and Pb availability in agricultural soil amended with slaked lime,magnesium hydroxide,corn stover biochar,and calcium dihydrogen phosphate.Moreover,the enriched isotope tracing technique(^(112)Cd and^(206)Pb)was employed to evaluate the aging process of newly introduced Cd and Pbwithin 56 days’incubation.Results demonstrated that extractable pools by BCR and Ca(NO_(3))_(2)extraction were little impacted by amendments and showed little correlation with soil pH.This is notable because soil pH is closely linked to metal availability,indicating these extraction methods may not adequately reflect metal availability.Conversely,water-soluble concentrations of Cd and Pb were markedly influenced by amendments and exhibited strong correlations with pH(Pearson’s r:-0.908 to-0.825,P<0.001),suggesting water extraction as a more sensitive approach.Furthermore,newly introduced metals underwent a more evident aging process as demonstrated by acid-soluble and water-soluble pools.Additionally,water-soluble concentrations of essential metals were impacted by soil amendments,raising caution on their potential effects on plant growth.These findings suggest water extraction as a promising and attractive method to evaluate Cd and Pb availability,which will help provide assessment guidance for environmental risks caused by heavy metals and develop efficient remediation strategies.
文摘Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.
文摘Hollow multi-shelled structure(HoMS)is the novel multifunctional structural system,which are con-structed with nanoparticles as structural units,featuring two or more shells,multiple interfaces,and numerous chan-nels and demonstrating outstanding properties in energy conversion and mass transfer.In recent years,owing to the breakthroughs in synthetic methods,the diversity of composition and structure of HoMS has been greatly enriched,showing broad application prospects in energy,catalysis,environment and other fields.This review focuses on the research status of HoMS for catalytic applications.Firstly,the new synthesis method for HoMS,namely the sequen-tial templating approach,is introduced from both practical and theoretical perspectives.Then,it summarizes and discusses the structure-performance relationship between the shell structure and catalytic performance.The unique temporal-spatial ordering property of mass transport in HoMS and the major breakthroughs it brings in catalytic applications are discussed.Finally,it looks forward to the opportunities and challenges in the development of HoMS.
基金supported by the National Natural Science Foundation of China(Nos.81974288,82170253,and 82241018).
文摘Bacterial infection,excessive inflammatory response,and impaired angiogenesis caused by the hyperglycemic microenvironment of diabetic wounds are the primary factors of non-healing wounds.Most contemporary wound repair materials passively release loaded drugs,resulting in poor therapeutic outcomes.In this study,we designed sequentially triggered triple-responsive hydrogels containing alginate(ALG)-phenylboronic acid(PBA),copper polydopamine(Cu-PDA),metformin(MET),and deferoxamine mesylate(DFO)to cover the continuous process of diabetic-infected wound healing and improve the wound microenvironment through warming in the infectious phase and on-demand drug release in the inflammatory and proliferative phase.The hydrogels exhibited good adhesivity,injectability,self-healing ability,and biocompatibility.The hydrogels show remarkable photothermal responsiveness due to the presence of PDA.Studies showed that appropriate high temperatures and the release of Cu2+resulted in the hydrogels displaying excellent bactericidal properties in the infectious phase.Furthermore,the instability of the phenyl borate bond in a hyperglycemic and acidic microenvironment enables the glucose/pH responsiveness of the release of MET and DFO from the hydrogels.Mechanistic studies have shown that the hydrogels could suppress the activity of the NOD-,LRR-,and pyrin structural domain-containing protein 3(NLRP3)/caspase-1/GasderminD(GSDMD)/IL-1βpathway and activate the hypoxia-inducible factor 1 alpha(HIF-1α)/vascular endothelial growth factor(VEGF)pathway.These effects enabled the hydrogels to promote the healing of diabetic-infected wounds.
基金the National Natural Science Foundation of China(No.52205210)the Natural Science Foundation of Shandong Province(Nos.ZR2020MB018,ZR2022QE033 and ZR2021QB049).
文摘Achieving artificial simulations of multi-step energy transfer processes and conversions in nature remains a challenge.In this study,we present a three-step sequential energy transfer process,which was constructed through host-vip interactions between a piperazine derivative(PPE-BPI)with aggregationinduced emission(AIE)and cucurbit[7]uril(CB[7])in water to serve as ideal energy donors.To achieve multi-step sequential energy transfer,we employ three distinct fluorescent dyes Eosin B(EsB),Sulforhodamine 101(SR101),and Cyanine 5(Cy5)as energy acceptors.The PPE-PBI-2CB[7]+EsB+SR101+Cy5 system demonstrates a highly efficient three-step sequential energy transfer mechanism,starting with PPEPBI-2CB[7]and transferring energy successively to EsB,SR101,and finally to Cy5,with remarkable energy transfer efficiencies.More interestingly,with the progressive transfer of energy in the multi-step energy transfer system,the generation efficiency of superoxide anion radical(O_(2)•-)increased gradually,which can be used as photocatalysts for selectively photooxidation of N-phenyltetrahydroisoquinoline in an aqueous medium with a high yield of 86%after irradiation for 18 h.This study offers a valuable investigation into the simulation of multi-step energy transfer processes and transformations in the natural world,paving the way for further research in the field.
文摘Background:Recent scholarly attention has increasingly focused on filial piety beliefs'impact on youth's psychological development.However,the mechanisms by which filial piety indirectly influences adolescent autonomy through depression and well-being remain underexplored.This study aimed to test a sequential mediation model among filial piety beliefs,depression,well-being,and autonomy in Taiwan region of China university students.Methods:A total of 566 Taiwan region of China undergraduate and graduate students,comprising 390 females and 176 males,and including 399 undergraduates and 167 graduate students,were recruited through convenience sampling.Data were collected via an online questionnaire.Validated instruments were employed,including the Filial Piety Scale(FPS),the Center for Epidemiological Studies Depression Scale(CES-D),the Chinese Well-being Inventory(CHI),and the Adolescent Autonomy Scale-Short Form(AAS-SF).Statistical analyses included group comparisons,correlation analyses,and structural equation modeling to examine the hypothesized relationships and mediation effects.Results:The results revealed that filial piety beliefs exerted a significant positive impact on adolescent autonomy,with depression and well-being serving as key mediators in this relationship.A sequential mediation effect was confirmed through structural equation modeling(β=0.052,95%CI[0.028,0.091]),with good model fit indices(x^(2)/df=4.25,RMSEA=0.076,CFI=0.968),supporting the hypothesized pathway from filial piety to autonomy via depression and well-being.In terms of demographic differences,male students showed significantly higher autonomy than females(p<0.001);students from single-parent families reported significantly higher depression levels than those from two-parent families(p<0.05);and graduate students exhibited significantly higher autonomy and well-being than undergraduates(p<0.05).Conclusions:These findings underscore not only the importance of filial piety beliefs for developing youth autonomy but also the critical role that mental health factors,such as depression and well-being,play in this process.The study concludes with a discussion of both theoretical implications and practical recommendations.These include strategies to foster reciprocal filial piety,strengthen parent-child relationships,and promote mental health.Additionally,the study outlines its limitations and proposes directions for future research.
基金financially supported by the Natural Science Foundation of Hunan Province,China(No.2024JJ2074)the National Natural Science Foundation of China(No.22376221)the Young Elite Scientists Sponsorship Program by CAST,China(No.2023QNRC001).
文摘Tailings produced by mining and ore smelting are a major source of soil pollution.Understanding the speciation of heavy metals(HMs)in tailings is essential for soil remediation and sustainable development.Given the complex and time-consuming nature of traditional sequential laboratory extraction methods for determining the forms of HMs in tailings,a rapid and precise identification approach is urgently required.To address this issue,a general empirical prediction method for HM occurrence was developed using machine learning(ML).The compositional information of the tailings,properties of the HMs,and sequential extraction steps were used as inputs to calculate the percentages of the seven forms of HMs.After the models were tuned and compared,extreme gradient boosting,gradient boosting decision tree,and categorical boosting methods were found to be the top three performing ML models,with the coefficient of determination(R^(2))values on the testing set exceeding 0.859.Feature importance analysis for these three optimal models indicated that electronegativity was the most important factor affecting the occurrence of HMs,with an average feature importance of 0.4522.The subsequent use of stacking as a model integration method enabled the ability of the ML models to predict HM occurrence forms to be further improved,and resulting in an increase of R^(2) to 0.879.Overall,this study developed a robust technique for predicting the occurrence forms in tailings and provides an important reference for the environmental assessment and recycling of tailings.
基金support from Mobility Programme of the Sino-German Center(M-0056)National Natural Science Foundation of China(52101286)+2 种基金Natural Science Foundation of Liaoning Province(2022-YGJC-16)Fundamental Research Funds for the Central Universities(N2302017)Supported by Sichuan Science and Technology Program 2023ZYD0115Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Program(RC231178).
文摘A gradient coating containing collagen and inorganic strontium/calcium phosphate(Sr/CaP)was fabricated on plasma-electrolytically oxidised magnesium via one-step cathodic electrodeposition.First,Sr-doped dicalcium phosphate dihydrate and hydroxyapatite(DCPD and HA)was deposited,followed by a collagen/CaP layer.The morphological evolution,sequential degradation behaviour,and in vitro bio-properties of the coatings were investigated.The incorporation of collagen remarkably refined the morphology of the CaP,and a more aggregated nano-spherical morphology was observed with increasing collagen concentration.Sr could partially replace Ca in the CaP crystals.Collagen combined with CaP formed a relatively stable skeletal frame,which provided sufficient barrier properties and more sites for the re-precipitation of bone tissue,as well as a more promising proliferation and differentiation ability of osteoblasts.A gradient coating that matches the requirements of bone growth at various periods is suggested for implantation.
基金supported by the Tencent Charity Foundationthe Ningxia Hui Autonomous Region Key Research and Development Program(No.2021BEG 02025)+1 种基金the Flexible Introduction of Technological Innovation Teams of Ningxia Hui Autonomous Region(No.2021RXTDLX15)the Natural Science Foundation of China(No.82160644)。
文摘Objective:A risk-based sequential screening strategy,from questionnaire-based assessment to biomarker measurement and then to endoscopic examination,has the potential to enhance gastric cancer(GC)screening efficiency.We aimed to evaluate the ability of five common stomach-specific serum biomarkers to further enrich high-risk individuals for GC in the questionnaire-identified high-risk population.Methods:This study was conducted based on a risk-based screening program in Ningxia Hui Autonomous Region,China.We first performed questionnaire assessment involving 23,381 individuals(7,042 outpatients and 16,339 individuals from the community),and those assessed as“high-risk”were then invited to participate in serological assays and endoscopic examinations.The serological biomarker model was derived based on logistic regression,with predictors selected via the Akaike information criterion.Model performance was evaluated by the area under the receiver operating characteristic curve(AUC).Results:A total of 2,011 participants were ultimately included for analysis.The final serological biomarker model had three predictors,comprising pepsinogenⅠ(PGI),pepsinogenⅠ/Ⅱratio(PGR),and anti-Helicobacter pylori immunoglobulin G(anti-H.pylori IgG)antibodies.This model generated an AUC of 0.733(95%confidence interval:0.655-0.812)and demonstrated the best discriminative ability compared with previously developed serological biomarker models.As the risk cut-off value of our model rose,the detection rate increased and the number of endoscopies needed to detect one case decreased.Conclusions:PGI,PGR,and anti-H.pylori Ig G could be jointly used to further enrich high-risk individuals for GC among those selected by questionnaire assessment,providing insight for the development of a multi-stage riskbased sequential strategy for GC screening.
基金the National Natural Science Foundation of China(Nos.22171147 and 21871148)for the financial support。
文摘Polycyclic compounds are widely found in natural products and drug molecules with important biological activities,which attracted the attention of many chemists.Phosphine-catalyzed nucleophilic addition is one of the most powerful tools for the construction of various cyclic compounds with the advantages of atom economy,mild reaction conditions and simplicity of operation.Allenolates,Morita−Baylis−Hillman(MBH)alcohols and their derivatives(MBHADs),electron-deficient olefins and alkynes are very efficient substrates in phosphine mediated annulations,which formed many phosphonium species such asβ-phosphonium enolates,β-phosphonium dienolates and vinyl phosphonium ylides as intermediates.This review describes the reactivities of these phosphonium zwitterions and summarizes the synthesis of polycycle compounds through phosphine-mediated intramolecular and intermolecular sequential annulations.Thus,a systematic summary of the research process based on the phosphine-mediated sequential annulations of allenolates,MBH alcohols and MBHADs,electron-deficient olefins and alkynes are presented in Chapters 2-6,respectively.
基金supported by the Guangdong Basic and Applied Basic Research Foundation (2022A1515010875)National Natural Science Foundation of China (12404480)+4 种基金Shenzhen Science and Technology Program (JCYJ20240813113238050, JCYJ20240813113306008)Education Department of Guangdong Province (2021KCXTD045)National Natural Science Foundation of China (12274303)the Shenzhen Key Laboratory of Applied Technologies of Super-Diamond and Functional Crystals (ZDSYS20230626091303007)Characteristic Innovation Foundation of Higher Education Institutions of Guangdong Province (2022KTSCX116)
文摘Sequential processing(SqP)of the active layer offers independent optimization of the donor and acceptor with more targeted solvent design,which is considered the most promising strategy for achieving efficient organic solar cells(OSCs).In the SqP method,the favorable interpenetrating network seriously depends on the fine control of the bottom layer swelling.However,the choice of solvent(s)for both the donor and acceptor have been mostly based on a trial-and-error manner.A single solvent often cannot achieve sufficient yet not excessive swelling,which has long been a difficulty in the high efficient SqP OSCs.Herein,two new isomeric molecules are introduced to fine-tune the nucleation and crystallization dynamics that allows judicious control over the swelling of the bottom layer.The strong non-covalent interaction between the isomeric molecule and active materials provides an excellent driving force for optimize the swelling-process.Among them,the molecule with high dipole moment promotes earlier nucleation of the PM6 and provides extended time for crystallization during SqP,improving bulk morphology and vertical phase segregation.As a result,champion efficiencies of 17.38%and 20.00%(certified 19.70%)are achieved based on PM6/PYF-T-o(all-polymer)and PM6/BTP-eC9 devices casted by toluene solvent.
基金financially supported by the National Key R&D Program of China(No.2022YFB3704701)the National Key R&D Program of China(No.2022YFC2603502)+1 种基金Natural Science Foundation of Shandong Province(No.ZR2022QE271)the financial support from the Taishan Scholars Program(No.tsqn202211165)。
文摘The synthesis of functionalized rubber copolymers is a topic of great research interest.In this study,we present a novel approach for the direct construction ofα-functionalized 3,4-polyisoprene through polymerization of polar monomers and isoprene monomer.Theα-functionalized 3,4-polyisoprene was successfully synthesized via in situ sequential polymerization using the iron-based catalytic system(Fe(acac)_(3)/IITP/AliBu_(3)),exhibiting high activity and resistance to polar monomers without requiring protection of polar groups.The structure ofα-functionalized 3,4-polyisoprene was confirmed by proton nuclear magnetic resonance spectroscopy(^(1)H-NMR)and two-dimensional diffusion-ordered spectroscopy(2D DOSY)spectra analysis.The introduction of polar groups,particularly hydroxyl groups,enhanced the hydrophilicity of the copolymer.This was evidenced by a decrease in the water contact angle from 106.9°to 96.4°with increasing hydroxyl content in the copolymer.
基金funded by the National Natural Science Foundation of China(22478438,32401048,and 82273882)the Science Fund for Distinguished Young Scholars of Jiangsu Province(BK20240098)the Special Research Fund from the State Key Laboratory of Natural Medicines at China Pharmaceutical University(SKLNMZZ2024JS19).
文摘Antitumor nanomedicines are usually decorated with ligands to achieve multiple functions,such as targeting delivery,tissue penetration and enhanced cellular uptake.However,a single ligand with multiple functions is generally preferred for use in practice.Herein,a versatile peptide,(HE)_(10)G_(5)R_(6)GDK(HE-RK),was engineered by integrating several motifs into a single sequence,including a masking segment(HE),a flexible linker(G_(5)),and a tumor-penetrating head(RK)which comprised a cell-penetrating peptide(R_(6))and a C-end Rule peptide(RGDK).The RK moiety in HE-RK was sequentially activated following the gradual charge reversal of HE to facilitate the accumulation of its cargos in deep tumor tissue and the cytosol of cancer cells.Moreover,in our study,polymer micelles conjugated with the HE-RK peptide(PM-HE-RK)showed superior cellular internalization at pH 6.5 compared to pH 7.4 in vitro,as well as extended blood circulation time and improved tumor targeting and penetration in vivo.Furthermore,the paclitaxel-loaded micelles(PTX/PM-HERK)demonstrated considerable antitumor efficacy,with an 81.48%tumor inhibition rate in the 4T1 mouse model.Overall,the construction of this all-in-one multisegment peptide presents a synergistic and complementary approach to advancing multifunctional peptide ligand design.
基金supported by the National Key Research and Development Program of China(2022YFB3305900)the National Natural Science Foundation of China(Key Program)(62136003)+2 种基金the National Natural Science Foundation of China(62394345)the Major Science and Technology Projects of Longmen Laboratory(LMZDXM202206)the Fundamental Research Funds for the Central Universities.
文摘Sequential-modular-based process flowsheeting software remains an indispensable tool for process design,control,and optimization.Yet,as the process industry advances in intelligent operation and maintenance,conventional sequential-modular-based process-simulation techniques present challenges regarding computationally intensive calculations and significant central processing unit(CPU)time requirements,particularly in large-scale design and optimization tasks.To address these challenges,this paper proposes a novel process-simulation parallel computing framework(PSPCF).This framework achieves layered parallelism in recycling processes at the unit operation level.Notably,PSPCF introduces a groundbreaking concept of formulating simulation problems as task graphs and utilizes Taskflow,an advanced task graph computing system,for hierarchical parallel scheduling and the execution of unit operation tasks.PSPCF also integrates an advanced work-stealing scheme to automatically balance thread resources with the demanding workload of unit operation tasks.For evaluation,both a simpler parallel column process and a more complex cracked gas separation process were simulated on a flowsheeting platform using PSPCF.The framework demonstrates significant time savings,achieving over 60%reduction in processing time for the simpler process and a 35%–40%speed-up for the more complex separation process.
基金supported by a grant from the Natural Science Foundation of Zhejiang Province under Grant LY21F010016.
文摘Recently,many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences.However,these methods tend to focus more on low-frequency information while neglecting highfrequency information,which makes them ineffective in balancing users’long-and short-term preferences.At the same time,manymethods overlook the potential of frequency domainmethods,ignoring their efficiency in processing frequency information.To overcome this limitation,we shift the focus to the combination of time and frequency domains and propose a novel Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation,namely HyTiFRec.Specifically,we design two hybrid filter modules:the learnable hybrid filter(LHF)and the window hybrid filter(WHF).We combine these with the Efficient Attention(EA)module to form the dual-branch structure to replace the self-attention components in Transformers.The EAmodule is used to extract sequential and global information.The LHF andWHF modules balance the proportion of different frequency bands,with LHF globally modulating the spectrum in the frequency domain and WHF retaining frequency components within specific local frequency bands.Furthermore,we use a time domain residual information addition operation in the hybrid filter module,which reduces information loss and further facilitates the hybrid of time-frequency methods.Extensive experiments on five widely-used real-world datasets show that our proposed method surpasses state-of-the-art methods.
基金supported in part by the National Natural Science Foundation of China under Grant 61972424 and 62372479in part by the High Value Intellectual Property Cultivation Project of Hubei Province,China,under grant D2021002094+1 种基金in part by JSPS KAKENHI under Grants JP16K00117 and JP19K20250in part by the Leading Initiative for Excellent Young Researchers(LEADER),MEXT,Japan,and KDDI Foundation.
文摘Named data networking(NDNs)is an idealized deployment of information-centric networking(ICN)that has attracted attention from scientists and scholars worldwide.A distributed in-network caching scheme can efficiently realize load balancing.However,such a ubiquitous caching approach may cause problems including duplicate caching and low data diversity,thus reducing the caching efficiency of NDN routers.To mitigate these caching problems and improve the NDN caching efficiency,in this paper,a hierarchical-based sequential caching(HSC)scheme is proposed.In this scheme,the NDN routers in the data transmission path are divided into various levels and data with different request frequencies are cached in distinct router levels.The aim is to cache data with high request frequencies in the router that is closest to the content requester to increase the response probability of the nearby data,improve the data caching efficiency of named data networks,shorten the response time,and reduce cache redundancy.Simulation results show that this scheme can effectively improve the cache hit rate(CHR)and reduce the average request delay(ARD)and average route hop(ARH).
基金supported by the National Natural Science Foundation of China under Grant Nos.U2167204,11975040,111 Center(B20065)Brazilian authors were supported in part by local funding agencies CNPq+10 种基金FAPERJCAPESand INCT-FNA(Instituto Nacional de Ciência e Tecnologia,Física Nuclear e Aplicacoes)Research Project No.464898/2014-5Marco Siciliano's work was partially supported by the US Department of EnergyOffice of Scienceand Office of Nuclear Physics(DE-AC02-06CH11357)supported by Nuclear Energy Development and Research Project No.HNKF202224(28)Ling Chuang Research Project of the China National Nuclear Corporation No.CNNCLCKY-2023 and No.20221024000072F6-0002-7Guangdong Key Research and Development Program No.2020B040420005Guangdong Basic and Applied Basic Research Foundation No.2021B1515120027。
文摘The^(6)Li+^(89)Y experiment was performed to explore the reaction mechanism induced by a weakly bound nucleus^(6)Li and its cluster configuration.The particle-γcoincidence method was used to identify the different reaction channels.Theγ-rays coincident with^(3)He/^(3)H indicate that the^(3)H/^(3)He stripping reaction plays a significant role in the formation of Zr/Nb isotopes.The obtained results support the existence of a^(3)He-^(3)H cluster in^(6)Li.Direct and sequential transfer reactions are adequately discussed,and the FRESCO code is used to perform precise finite-range cyclic redundancy check calculations.In the microscopic calculation,direct cluster transfer is more predominant than sequential transfer in^(3)H transfer.However,the direct cluster transfer is of comparable magnitude to the sequential transfer in the^(3)He transfer.
基金supported by the National Natural Science Foundation of China(Nos.U2267205 and 12475124)a ZSTU intramural grant(22062267-Y)Excellent Graduate Thesis Cultivation Fund(LW-YP2024011).
文摘Nuclear mass is an important property in both nuclear and astrophysics.In this study,we explore an improved mass model that incorporates a higher-order term of symmetry energy using algorithms.The sequential least squares programming(SLSQP)algorithm augments the precision of this multinomial mass model by reducing the error from 1.863 MeV to 1.631 MeV.These algorithms were further examined using 200 sample mass formulae derived from theδE term of the E_(isospin) mass model.The SLSQP method exhibited superior performance compared to the other algorithms in terms of errors and convergence speed.This algorithm is advantageous for handling large-scale multiparameter optimization tasks in nuclear physics.
