Background: Plant-based diets are eating patterns focusing on high intake of plant-basedfoods while limiting the intake of animal-based foods. In recent decades, plant-based dietshave received increasing attention for...Background: Plant-based diets are eating patterns focusing on high intake of plant-basedfoods while limiting the intake of animal-based foods. In recent decades, plant-based dietshave received increasing attention for their potential benefits for humans and theenvironment. However, a comprehensive overview of the development trends and researchhotspots of plant-based diets is still lacking. Therefore, this scientometric study aimed to fillthis critical research gap. Methods: English literature related to plant-based diets publishedfrom 2012 to 2023 in Science Citation Index Expanded (SCIE) of Web of Science CoreCollection was collected on August 16, 2023, using relevant key terms. R-bibliometrix,CiteSpace, and VOSviewer were used to analyze data and construct knowledge graphs.Results: Overall, 4135 publications (3127 articles and 1008 reviews) were included in thisstudy, showing an obvious upward trend in this field annually from 2012 to 2023, rangingfrom 70 to 921. The USA published the highest number of studies (n =1158) and was theleading research center in this field worldwide. Universities were the main researchinstitutions;particularly, Harvard T.H. Chan School of Public Health contributed to thelargest number of publications (n = 88) and had an active cooperation with otherinstitutions. Mcclements DJ contributed the most publications (n = 49) and ranked firstamong the scholars in plant-based diets. The most productive academic journal (n = 353)on plant-based diets was Nutrients, with an IF2022 of 5.9, while Foods and Frontiers in Nutritionwere the relatively active journals in this field in recent years. “Quality,” “milk,” “culturedmeat,” “plant protein,” “environmental impacts,” “functional properties,” “plant-based meatalternative,” “dietary change,” “vegan diet,” “plant-based beverage,” “gut microbiota,”“middle-income countries,” and “chronic kidney disease” were the main research hotspotsand frontiers in the field of plant-based diets. Conclusion: This study provides acomprehensive overview of global research on plant-based diets. Although research in thisfield has gained increasing attention in recent decades, cooperation among differentinstitutions and researchers should be significantly strengthened. Moreover, more studiesare needed to further assess the health and environmental impacts of plant-based diets.展开更多
Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications...Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing environments.The motivation stems from the pressing issue of accommodating fluctuating levels of user demand efficiently.By adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy consumption.This reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing systems.To enhance the resource allocation process,we introduce a novel knowledge-based optimization algorithm.In this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly Algo-rithm.Our findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption reduction.This paper underscores the profound significance of resource allocation in the realm of cloud computing.By addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing systems.Our contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.展开更多
As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage p...As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.展开更多
Background:Recently,ultra-processed foods(UPFs)have attracted considerable attention,leading to numerous studies worldwide.Scientometrics is currently gaining popularity among scientific communities,offering advantage...Background:Recently,ultra-processed foods(UPFs)have attracted considerable attention,leading to numerous studies worldwide.Scientometrics is currently gaining popularity among scientific communities,offering advantage of providing critical references to scholars of specific fields.Methods:This scientometric study aimed to analyze trends and hotspots of UPF research using English articles or reviews related to UPFs retrieved from the Web of Science Core Collection on March 5,2023.Two independent researchers selected the identified records on titles,abstracts,and author’s keywords,and the data were analyzed using R-bibliometrix,CiteSpace,and VOSviewer.Results:A total of 1018 publications(901 articles and 117 reviews)published from 2010 to 2023 were included.The result showed a significant increase in UPF publications over the past decades.Brazil published the highest number of papers(n=473),with over half of the top 10 active institutions were located in Brazil.The University of São Paulo contributed the most publications(n=206)and the 10 most productive authors belonged to this institution,with Monteiro CA and Levy RB contributing the most publications.The main research foundations included the NOVA system,the definition of UPFs,the prevalence of UPFs,and the impact of UPFs on dietary quality and health status.The main research frontiers included topics such as“systematic review,”“NOVA food classification,”“COVID-19,”“diabetes,”“pregnancy,”“food addiction,”“warning labels,”“plant-based diet,”and“commercial determinants of health”.Conclusions:This study provided a comprehensive overview of development trends and research hotspots of global UPF studies.展开更多
Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently...Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.展开更多
Chloroquine(CQ)and hydroxychloroquine(HCQ),originally developed as anti-malarial drugs,have found a new purpose in treating various autoimmune dis-eases due to their immunomodulatory properties.These drugs work throug...Chloroquine(CQ)and hydroxychloroquine(HCQ),originally developed as anti-malarial drugs,have found a new purpose in treating various autoimmune dis-eases due to their immunomodulatory properties.These drugs work through mu-ltiple mechanisms,including inhibiting Toll-like receptor signaling,suppressing antigen presentation,and modulating autophagy.This review article provides a comprehensive analysis of the immunomodulatory effects of CQ and HCQ in several autoimmune diseases such as systemic lupus erythematosus,rheumatoid arthritis,systemic sclerosis,and others.We delve into the intricate mechanisms of action,highlighting the key immune cells involved and discussing the clinical implications of these drugs in managing autoimmune conditions.Our review covers the latest research and clinical trials,offering a comprehensive under-standing of the therapeutic potential of CQ and HCQ in autoimmune diseases.We also discuss the challenges and controversies surrounding the use of these drugs,such as their long-term side effects and the need for personalized treatment approaches.By synthesizing current knowledge and identifying areas for future research,this review aims to provide a valuable resource for healthcare profes-sionals and researchers involved in the management of autoimmune diseases.展开更多
The toxicity of PM_(2.5)does not necessarily change synchronously with its mass concentration.In this study,the chemical composition(carbonaceous species,water-soluble ions,and metals)and oxidative potential(dithiothr...The toxicity of PM_(2.5)does not necessarily change synchronously with its mass concentration.In this study,the chemical composition(carbonaceous species,water-soluble ions,and metals)and oxidative potential(dithiothreitol assay,DTT)of PM_(2.5)were investigated in 2017/2018 and 2022 in Xiamen,China.The decrease rate of volume-normalized DTT(DTTv)(38%)was lower than that of PM_(2.5)(55%)between the two sampling periods.However,the mass-normalized DTT(DTTm)increased by 44%.Clear seasonal patterns with higher levels in winter were found for PM_(2.5),most chemical constituents and DTTv but not for DTTm.The large decrease in DTT activity(84%−92%)after the addition of EDTA suggested that watersoluble metals were the main contributors to DTT in Xiamen.The increased gap between the reconstructed and measured DTTv and the stronger correlations between the reconstructed/measured DTT ratio and carbonaceous species in 2022were observed.The decrease rates of the hazard index(32.5%)and lifetime cancer risk(9.1%)differed from those of PM_(2.5)and DTTv due to their different main contributors.The PMF-MLR model showed that the contributions(nmol/(min·m^(3)))of vehicle emission,coal+biomass burning,ship emission and secondary aerosol to DTTv in 2022 decreased by 63.0%,65.2%,66.5%,and 22.2%,respectively,compared to those in 2017/2018,which was consistent with the emission reduction of vehicle exhaust and coal consumption,the adoption of low-sulfur fuel oil used on board ships and the reduced production of WSOC.However,the contributions of dust+sea salt and industrial emission increased.展开更多
Interfacial ferroelectricity is a recently established mechanism for generating spontaneous reversible electric polarization,arising from the charge transfer between stacked van der Waals layered atomic crystals.It ha...Interfacial ferroelectricity is a recently established mechanism for generating spontaneous reversible electric polarization,arising from the charge transfer between stacked van der Waals layered atomic crystals.It has been realized in both naturally formed multilayer crystals and moirésuperlattices.Owing to the large number of material choices and combinations,this approach is highly versatile,greatly expanding the scope of ultrathin ferroelectrics.A key advantage of interfacial ferroelectricity is its potential to couple with preexisting properties of the constituent layers,enabling their electrical manipulation through ferroelectric switching and paving the way for advanced device functionalities.This review article summarizes recent experimental progress in interfacial ferroelectricity,with an emphasis on its coupling with a variety of electronic properties.After introducing the underlying mechanism of interfacial ferroelectricity and the range of material systems discovered to date,we highlight selected examples showcasing ferroelectric control of excitonic optical properties,Berry curvature effects,and superconductivity.We also discuss the challenges and opportunities that await further studies in this field.展开更多
From[J.Differential Geom.,1990,31(1):285-299],one can obtain that compact self-shrinking hypersufaces in R^(n+1) with constant scalar curvature must be the standard sphere S^(n)(√n)(cf.[Front.Math.,2023,18(2):417-430...From[J.Differential Geom.,1990,31(1):285-299],one can obtain that compact self-shrinking hypersufaces in R^(n+1) with constant scalar curvature must be the standard sphere S^(n)(√n)(cf.[Front.Math.,2023,18(2):417-430]).This result was generalized by Guo[J.Math.Soc.Japan,2018,70(3):1103-1110]with assumption of a lower or upper scalar curvature bound.In this paper,we will generalize the scalar curvature rigidity theorem of Guo to the case of λ-hypersurfaces.We will also give an alternative proof of the theorem(cf.[2014,arXiv:1410.5302]and[Proc.Amer.Math.Soc.,2018,146(10):4459-4471])that λ-hypersurfaces which are entire graphs must be hyperplanes.展开更多
Organic ferroelastics with metal free features and intrinsically light weight are highly desirable for future applications in flexible,smart and biocompatible devices.However,organoferroelastics with plastic phase tra...Organic ferroelastics with metal free features and intrinsically light weight are highly desirable for future applications in flexible,smart and biocompatible devices.However,organoferroelastics with plastic phase transition have rarely been reported yet.Herein,we discovered ferroelasticity in a pair of organic enantiomers,(1S and/or 1R)-2,10-camphorsultam(S-and R-CPS),which undergoes a high-T_(c)plastic phase transition.Both large entropies change of∼45 J mol^(-1)K^(-1)and evidently ductile deformation process confirm the plastic phase feature.Strip-like ferroelastic domain patterns and bidirectional domain movements have been observed via polarized light microscopy and nanoindentation technique,respectively.This work highlights the discovery of organic ferroelastic combining the features of enantiomers and plastic phase transition,which contributes insights into exploration of organic multifunctional materials.展开更多
Exploring the quantum advantages of various non-classical quantum states in noisy environments is a central subject in quantum sensing.Here we provide a complete picture for the frequency estimation precision of three...Exploring the quantum advantages of various non-classical quantum states in noisy environments is a central subject in quantum sensing.Here we provide a complete picture for the frequency estimation precision of three important states(the Greenberger-Horne-Zeilinger(GHZ)state,the maximal spin squeezed state,and the spin coherent state)of a spin-S under both individual dephasing and collective dephasing by general Gaussian noise,ranging from the Markovian limit to the extreme non-Markovian limit.Whether or not the noise is Markovian,the spin coherent state is always worse than the classical scheme under collective dephasing although it is equivalent to the classical scheme under individual dephasing.Moreover,the maximal spin squeezed state always give the best sensing precision(and outperforms the widely studied GHZ state)in all cases.This establishes the general advantage of the spin squeezed state for noisy frequency estimation in many quantum sensing platforms.展开更多
In this editorial,we comment on the article by Sá-Oliveira et al.We focus specifi-cally on the role of platelet-rich fibrin(PRF)in modulating innate immunity to enhance wound repair.The process of wound healing i...In this editorial,we comment on the article by Sá-Oliveira et al.We focus specifi-cally on the role of platelet-rich fibrin(PRF)in modulating innate immunity to enhance wound repair.The process of wound healing is complex and involves a coordinated series of biological events,including inflammation,cell proliferation,and tissue remodeling.The innate immune system is important in the early stages of wound repair,with inflammation being a crucial initial phase in tissue rege-neration.However,the inflammatory response should be regulated,as excessive or dysregulated inflammation can impair healing.Platelet concentrates,specifi-cally PRF,have originated as promising tools to optimize the tissue repair process.PRF is a second-generation platelet concentrate,and the release of growth factors(GFs)plays a determining role in several aspects of wound healing,including promoting cell proliferation,stimulating angiogenesis,and modulating inflam-mation.PRF forms a fibrin matrix that entraps platelets and GFs.This structure allows for their sustained release over time,which is believed to provide a more favorable microenvironment for tissue repair.Recent research by Sá-Oliveira et al has provided valuable evidence supporting the efficacy of PRF in promoting wound healing.Their study,conducted on an animal model,demonstrated that PRF-based dressings were more effective in accelerating wound closure in the early stages of the healing process,enhancing tissue repair,and modulating the inflammatory response.We explore how PRF's unique properties contribute to a more controlled and effective healing process.By examining these findings,we aim to highlight PRF's potential as a promising therapeutic strategy for improved wound management.展开更多
By measuring scanning tunneling spectroscopy on some large Bi islands deposited on FeTe_(0.55)Se_(0.45)superconductors,we observe clear in-gap edge states with double peaks at about±1.0 me V on the spectra measur...By measuring scanning tunneling spectroscopy on some large Bi islands deposited on FeTe_(0.55)Se_(0.45)superconductors,we observe clear in-gap edge states with double peaks at about±1.0 me V on the spectra measured near the perimeter of the islands.This feature is very different from the single zero-energy peak observed on some other small Bi islands.The edge states spread towards the inner side of the islands over a width of 2-3 nm.The two edge-state peaks at positive and negative energies move to higher values with the increase of the magnetic field,and they disappear near the transition temperature of FeTe_(0.55)Se_(0.45).Meanwhile,enhanced superconducting gaps are observed in the central regions of these Bi islands,which may be induced by the enhanced pair potential of the topological surface state.Our observations provide a valuable message for the edge state and the proximity-induced superconductivity on specific Bi islands grown on FeTe_(0.55)Se_(0.45)substrate.展开更多
With an increased utilization of carbon fiber reinforced polymers(CFRPs)in high temperature environments,investigating their effects on materials becomes exceedingly important.This study presents a comparative investi...With an increased utilization of carbon fiber reinforced polymers(CFRPs)in high temperature environments,investigating their effects on materials becomes exceedingly important.This study presents a comparative investigation of thermo-oxidative aging effects on the flexural performance of two carbon fiber reinforced composite laminates(CFRCLs):a quasi-isotropic plain-woven CFRCL and a quasi-isotropic unidirectional layup CFRCL(designated as PW-CFRCL and UD-CFRCL,respectively).The CFRCLs were subjected to thermo-oxidative aging for specific durations,and their flexural strength was evaluated through three-point bending tests.The flexural strength of the laminates decreased with the prolonged aging duration.Despite having lower fiber content,PW-CFRCLs showed higher flexural strength than UD-CFRCLs.After eight days of aging,the flexural strength of PW-CFRCLs decreased by merely 4%-5%,while that of UD-CFRCLs decreased by 11%-14%.After 32 days of aging,the thinner PW-CFRCL with the lowest fiber content exhibited the highest flexural strength(595.52 MPa),followed by the thinner UD-CFRCL(549.83 MPa),then the thicker PW-CFRCL(445.29 MPa)and finally,the thicker UD-CFRCL(393.90 MPa).The decline in flexural properties of the laminates was primarily attributed to matrix cracking and interface debonding resulting from matrix oxidation.To validate the universality of this result,the finite element method was employed,showing a good correlation with the experimental findings.展开更多
Advancing the integration of artificial intelligence and polymer science requires high-quality,open-source,and large-scale datasets.However,existing polymer databases often suffer from data sparsity,lack of polymer-pr...Advancing the integration of artificial intelligence and polymer science requires high-quality,open-source,and large-scale datasets.However,existing polymer databases often suffer from data sparsity,lack of polymer-property labels,and limited accessibility,hindering system-atic modeling across property prediction tasks.Here,we present OpenPoly,a curated experimental polymer database derived from extensive lit-erature mining and manual validation,comprising 3985 unique polymer-property data points spanning 26 key properties.We further develop a multi-task benchmarking framework that evaluates property prediction using four encoding methods and eight representative models.Our re-sults highlight that the optimized degree-of-polymerization encoding coupled with Morgan fingerprints achieves an optimal trade-off between computational cost and accuracy.In data-scarce condition,XGBoost outperforms deep learning models on key properties such as dielectric con-stant,glass transition temperature,melting point,and mechanical strength,achieving R2 scores of 0.65-0.87.To further showcase the practical utility of the database,we propose potential polymers for two energy-relevant applications:high temperature polymer dielectrics and fuel cell membranes.By offering a consistent and accessible benchmark and database,OpenPoly paves the way for more accurate polymer-property modeling and fosters data-driven advances in polymer genome engineering.展开更多
Finding the optimal control is of importance to quantum metrology under a noisy environment.In this paper,we tackle the problem of finding the optimal control to enhance the performance of quantum metrology under an a...Finding the optimal control is of importance to quantum metrology under a noisy environment.In this paper,we tackle the problem of finding the optimal control to enhance the performance of quantum metrology under an arbitrary non-Markovian bosonic environment.By introducing an equivalent pseudomode model,the non-Markovian dynamic evolution is reduced to a Lindblad master equation,which helps us to calculate the gradient of quantum Fisher information and perform the gradient ascent algorithm to find the optimal control.Our approach is accurate and circumvents the need for the Born-Markovian approximation.As an example,we consider the frequency estimation of a spin with pure dephasing under two types of non-Markovian environments.By maximizing the quantum Fisher information at a fixed evolution time,we obtain the optimal multi-axis control,which results in a notable enhancement in quantum metrology.The advantage of our method lies in its applicability to the arbitrary non-Markovian bosonic environment.展开更多
In order to meet the growing global energy demand and fulfill energy conservation and emission reduction goals, the efficient utilization of solar energy is becoming increasingly critical. However, the effects of high...In order to meet the growing global energy demand and fulfill energy conservation and emission reduction goals, the efficient utilization of solar energy is becoming increasingly critical. However, the effects of high temperatures on solar absorption are rarely considered in practical research. Therefore, this study presents a porous zinc and silver sulfide solar absorber with high-temperature radiative cooling capabilities. The solar absorption rate and radiative cooling efficiency in the high-temperature range(636 K–1060 K) are computed using the finite-difference time-domain method. Furthermore, the impact of parameters such as characteristic length, porosity, incident angle, and pore shape factor on both the absorption rate and efficiency of the solar absorber is analyzed. The mechanism is further examined from the perspective of microscopic thermal radiation. The results show that, in the high-temperature range, the solar absorption rate increases with higher porosity and incident angles, reaching its peak when the characteristic length is 1 μm. These findings highlight the significant potential of the solar absorber for efficient solar energy harvesting in photo-thermal conversion applications within a specific high-temperature range.展开更多
The estimation of quantum phase differences plays an important role in quantum simulation and quantum computation,yet existing quantum phase estimation algorithms face critical limitations in noisy intermediate-scale ...The estimation of quantum phase differences plays an important role in quantum simulation and quantum computation,yet existing quantum phase estimation algorithms face critical limitations in noisy intermediate-scale quantum(NISQ)devices due to their excessive depth and circuit complexity.We demonstrate a high-precision phase difference estimation protocol based on the Bayesian phase difference estimation algorithm and single-photon projective measurement.The iterative framework of the algorithm,combined with the independence from controlled unitary operations,inherently mitigates circuit depth and complexity limitations.Through an experimental realization on the photonic system,we demonstrate high-precision estimation of diverse phase differences,showing root-mean-square errors(RMSE)below the standard quantum limit𝒪(1/√N)and reaching the Heisenberg scaling𝒪(1/N)after a certain number of iterations.Our scheme provides a critical advantage in quantum resource-constrained scenarios,and advances practical implementations of quantum information tasks under realistic hardware constraints.展开更多
Inspired by the recent discovery of breathing kagome materials Nb_(3)Cl_(8) and Nb_(3)TeCl_(7),we have explored the influence of the breathing effect on the Hubbard model of the kagome lattice.Utilizing the determinan...Inspired by the recent discovery of breathing kagome materials Nb_(3)Cl_(8) and Nb_(3)TeCl_(7),we have explored the influence of the breathing effect on the Hubbard model of the kagome lattice.Utilizing the determinant quantum Monte Carlo method,we first investigated the average sign problem in the breathing kagome lattice,which is influenced by both the breathing strength and the interaction strength.Secondly,we calculated the electronic kinetic energy,the direct current conductivity,and the electronic density of states at the Fermi level to determine the critical interaction strength for the metal-insulator transition.Our results indicate that the breathing effect,in conjunction with the interaction strength,drives the kagome system from a metal to an insulator.Finally,we evaluated the magnetic properties and constructed a phase diagram incorporating both transport and magnetic properties.The phase diagram reveals that as the interaction strength increases,the system transitions from a paramagnetic metal to a Mott insulator.Our research provides theoretical guidance for utilizing the breathing effect to control the band gaps,conductivity,and magnetic properties of kagome materials with electronic interactions.展开更多
In this paper,we compute sub-Riemannian limits of some important curvature variants associated with the connection with torsion for four dimensional twisted BCV spaces and derive a Gauss-Bonnet theorem for four dimens...In this paper,we compute sub-Riemannian limits of some important curvature variants associated with the connection with torsion for four dimensional twisted BCV spaces and derive a Gauss-Bonnet theorem for four dimensional twisted BCV spaces.展开更多
文摘Background: Plant-based diets are eating patterns focusing on high intake of plant-basedfoods while limiting the intake of animal-based foods. In recent decades, plant-based dietshave received increasing attention for their potential benefits for humans and theenvironment. However, a comprehensive overview of the development trends and researchhotspots of plant-based diets is still lacking. Therefore, this scientometric study aimed to fillthis critical research gap. Methods: English literature related to plant-based diets publishedfrom 2012 to 2023 in Science Citation Index Expanded (SCIE) of Web of Science CoreCollection was collected on August 16, 2023, using relevant key terms. R-bibliometrix,CiteSpace, and VOSviewer were used to analyze data and construct knowledge graphs.Results: Overall, 4135 publications (3127 articles and 1008 reviews) were included in thisstudy, showing an obvious upward trend in this field annually from 2012 to 2023, rangingfrom 70 to 921. The USA published the highest number of studies (n =1158) and was theleading research center in this field worldwide. Universities were the main researchinstitutions;particularly, Harvard T.H. Chan School of Public Health contributed to thelargest number of publications (n = 88) and had an active cooperation with otherinstitutions. Mcclements DJ contributed the most publications (n = 49) and ranked firstamong the scholars in plant-based diets. The most productive academic journal (n = 353)on plant-based diets was Nutrients, with an IF2022 of 5.9, while Foods and Frontiers in Nutritionwere the relatively active journals in this field in recent years. “Quality,” “milk,” “culturedmeat,” “plant protein,” “environmental impacts,” “functional properties,” “plant-based meatalternative,” “dietary change,” “vegan diet,” “plant-based beverage,” “gut microbiota,”“middle-income countries,” and “chronic kidney disease” were the main research hotspotsand frontiers in the field of plant-based diets. Conclusion: This study provides acomprehensive overview of global research on plant-based diets. Although research in thisfield has gained increasing attention in recent decades, cooperation among differentinstitutions and researchers should be significantly strengthened. Moreover, more studiesare needed to further assess the health and environmental impacts of plant-based diets.
基金supported by the Ministerio Espanol de Ciencia e Innovación under Project Number PID2020-115570GB-C22 MCIN/AEI/10.13039/501100011033 and by the Cátedra de Empresa Tecnología para las Personas(UGR-Fujitsu).
文摘Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates continuously.This paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing environments.The motivation stems from the pressing issue of accommodating fluctuating levels of user demand efficiently.By adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy consumption.This reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing systems.To enhance the resource allocation process,we introduce a novel knowledge-based optimization algorithm.In this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly Algo-rithm.Our findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption reduction.This paper underscores the profound significance of resource allocation in the realm of cloud computing.By addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing systems.Our contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.
基金supported by the Ministerio Espanol de Ciencia e Innovación under Project Number PID2020-115570GB-C22,MCIN/AEI/10.13039/501100011033by the Cátedra de Empresa Tecnología para las Personas(UGR-Fujitsu).
文摘As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.
文摘Background:Recently,ultra-processed foods(UPFs)have attracted considerable attention,leading to numerous studies worldwide.Scientometrics is currently gaining popularity among scientific communities,offering advantage of providing critical references to scholars of specific fields.Methods:This scientometric study aimed to analyze trends and hotspots of UPF research using English articles or reviews related to UPFs retrieved from the Web of Science Core Collection on March 5,2023.Two independent researchers selected the identified records on titles,abstracts,and author’s keywords,and the data were analyzed using R-bibliometrix,CiteSpace,and VOSviewer.Results:A total of 1018 publications(901 articles and 117 reviews)published from 2010 to 2023 were included.The result showed a significant increase in UPF publications over the past decades.Brazil published the highest number of papers(n=473),with over half of the top 10 active institutions were located in Brazil.The University of São Paulo contributed the most publications(n=206)and the 10 most productive authors belonged to this institution,with Monteiro CA and Levy RB contributing the most publications.The main research foundations included the NOVA system,the definition of UPFs,the prevalence of UPFs,and the impact of UPFs on dietary quality and health status.The main research frontiers included topics such as“systematic review,”“NOVA food classification,”“COVID-19,”“diabetes,”“pregnancy,”“food addiction,”“warning labels,”“plant-based diet,”and“commercial determinants of health”.Conclusions:This study provided a comprehensive overview of development trends and research hotspots of global UPF studies.
基金National Natural Science Foundation of China(11971211,12171388).
文摘Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.
基金Supported by the Oman Ministry of Higher Education,Research,and Innovation,No.BFP/RGP/HSS/24/015.
文摘Chloroquine(CQ)and hydroxychloroquine(HCQ),originally developed as anti-malarial drugs,have found a new purpose in treating various autoimmune dis-eases due to their immunomodulatory properties.These drugs work through mu-ltiple mechanisms,including inhibiting Toll-like receptor signaling,suppressing antigen presentation,and modulating autophagy.This review article provides a comprehensive analysis of the immunomodulatory effects of CQ and HCQ in several autoimmune diseases such as systemic lupus erythematosus,rheumatoid arthritis,systemic sclerosis,and others.We delve into the intricate mechanisms of action,highlighting the key immune cells involved and discussing the clinical implications of these drugs in managing autoimmune conditions.Our review covers the latest research and clinical trials,offering a comprehensive under-standing of the therapeutic potential of CQ and HCQ in autoimmune diseases.We also discuss the challenges and controversies surrounding the use of these drugs,such as their long-term side effects and the need for personalized treatment approaches.By synthesizing current knowledge and identifying areas for future research,this review aims to provide a valuable resource for healthcare profes-sionals and researchers involved in the management of autoimmune diseases.
基金supported by the Science and Technology Program of Fujian Province,China(No.2023R1014002)the National Natural Science Foundation of China(No.41471390).
文摘The toxicity of PM_(2.5)does not necessarily change synchronously with its mass concentration.In this study,the chemical composition(carbonaceous species,water-soluble ions,and metals)and oxidative potential(dithiothreitol assay,DTT)of PM_(2.5)were investigated in 2017/2018 and 2022 in Xiamen,China.The decrease rate of volume-normalized DTT(DTTv)(38%)was lower than that of PM_(2.5)(55%)between the two sampling periods.However,the mass-normalized DTT(DTTm)increased by 44%.Clear seasonal patterns with higher levels in winter were found for PM_(2.5),most chemical constituents and DTTv but not for DTTm.The large decrease in DTT activity(84%−92%)after the addition of EDTA suggested that watersoluble metals were the main contributors to DTT in Xiamen.The increased gap between the reconstructed and measured DTTv and the stronger correlations between the reconstructed/measured DTT ratio and carbonaceous species in 2022were observed.The decrease rates of the hazard index(32.5%)and lifetime cancer risk(9.1%)differed from those of PM_(2.5)and DTTv due to their different main contributors.The PMF-MLR model showed that the contributions(nmol/(min·m^(3)))of vehicle emission,coal+biomass burning,ship emission and secondary aerosol to DTTv in 2022 decreased by 63.0%,65.2%,66.5%,and 22.2%,respectively,compared to those in 2017/2018,which was consistent with the emission reduction of vehicle exhaust and coal consumption,the adoption of low-sulfur fuel oil used on board ships and the reduced production of WSOC.However,the contributions of dust+sea salt and industrial emission increased.
基金Project supported by the Natural Science Foundation of Jiangsu Province(Grant Nos.BK20231529 and BK20233001)the National Key Research and Development Program of China(Grant No.2024YFA1409100)+2 种基金the Fundamental Research Funds for the Central Universities(Grant No.0204-14380233)the National Natural Science Foundation of China(Grant Nos.12474170 and 123B2059)the National Postdoctoral Program for Innovative Talents(Grant No.BX20240160)。
文摘Interfacial ferroelectricity is a recently established mechanism for generating spontaneous reversible electric polarization,arising from the charge transfer between stacked van der Waals layered atomic crystals.It has been realized in both naturally formed multilayer crystals and moirésuperlattices.Owing to the large number of material choices and combinations,this approach is highly versatile,greatly expanding the scope of ultrathin ferroelectrics.A key advantage of interfacial ferroelectricity is its potential to couple with preexisting properties of the constituent layers,enabling their electrical manipulation through ferroelectric switching and paving the way for advanced device functionalities.This review article summarizes recent experimental progress in interfacial ferroelectricity,with an emphasis on its coupling with a variety of electronic properties.After introducing the underlying mechanism of interfacial ferroelectricity and the range of material systems discovered to date,we highlight selected examples showcasing ferroelectric control of excitonic optical properties,Berry curvature effects,and superconductivity.We also discuss the challenges and opportunities that await further studies in this field.
文摘From[J.Differential Geom.,1990,31(1):285-299],one can obtain that compact self-shrinking hypersufaces in R^(n+1) with constant scalar curvature must be the standard sphere S^(n)(√n)(cf.[Front.Math.,2023,18(2):417-430]).This result was generalized by Guo[J.Math.Soc.Japan,2018,70(3):1103-1110]with assumption of a lower or upper scalar curvature bound.In this paper,we will generalize the scalar curvature rigidity theorem of Guo to the case of λ-hypersurfaces.We will also give an alternative proof of the theorem(cf.[2014,arXiv:1410.5302]and[Proc.Amer.Math.Soc.,2018,146(10):4459-4471])that λ-hypersurfaces which are entire graphs must be hyperplanes.
基金supported by the National Natural Science Foundation of China(No.22271131)the Department of Science and Technology in Jiangxi Province(No.20225BCJ23029).
文摘Organic ferroelastics with metal free features and intrinsically light weight are highly desirable for future applications in flexible,smart and biocompatible devices.However,organoferroelastics with plastic phase transition have rarely been reported yet.Herein,we discovered ferroelasticity in a pair of organic enantiomers,(1S and/or 1R)-2,10-camphorsultam(S-and R-CPS),which undergoes a high-T_(c)plastic phase transition.Both large entropies change of∼45 J mol^(-1)K^(-1)and evidently ductile deformation process confirm the plastic phase feature.Strip-like ferroelastic domain patterns and bidirectional domain movements have been observed via polarized light microscopy and nanoindentation technique,respectively.This work highlights the discovery of organic ferroelastic combining the features of enantiomers and plastic phase transition,which contributes insights into exploration of organic multifunctional materials.
基金supported by the National Natural Science Foundation of China(NSFC)Grant No.12274019the NSAF grant in NSFC with Grant No.U2230402。
文摘Exploring the quantum advantages of various non-classical quantum states in noisy environments is a central subject in quantum sensing.Here we provide a complete picture for the frequency estimation precision of three important states(the Greenberger-Horne-Zeilinger(GHZ)state,the maximal spin squeezed state,and the spin coherent state)of a spin-S under both individual dephasing and collective dephasing by general Gaussian noise,ranging from the Markovian limit to the extreme non-Markovian limit.Whether or not the noise is Markovian,the spin coherent state is always worse than the classical scheme under collective dephasing although it is equivalent to the classical scheme under individual dephasing.Moreover,the maximal spin squeezed state always give the best sensing precision(and outperforms the widely studied GHZ state)in all cases.This establishes the general advantage of the spin squeezed state for noisy frequency estimation in many quantum sensing platforms.
基金Supported by The Oman Ministry of Higher Education,Research,and Innovation,No.BFP/RGP/HSS/24/015.
文摘In this editorial,we comment on the article by Sá-Oliveira et al.We focus specifi-cally on the role of platelet-rich fibrin(PRF)in modulating innate immunity to enhance wound repair.The process of wound healing is complex and involves a coordinated series of biological events,including inflammation,cell proliferation,and tissue remodeling.The innate immune system is important in the early stages of wound repair,with inflammation being a crucial initial phase in tissue rege-neration.However,the inflammatory response should be regulated,as excessive or dysregulated inflammation can impair healing.Platelet concentrates,specifi-cally PRF,have originated as promising tools to optimize the tissue repair process.PRF is a second-generation platelet concentrate,and the release of growth factors(GFs)plays a determining role in several aspects of wound healing,including promoting cell proliferation,stimulating angiogenesis,and modulating inflam-mation.PRF forms a fibrin matrix that entraps platelets and GFs.This structure allows for their sustained release over time,which is believed to provide a more favorable microenvironment for tissue repair.Recent research by Sá-Oliveira et al has provided valuable evidence supporting the efficacy of PRF in promoting wound healing.Their study,conducted on an animal model,demonstrated that PRF-based dressings were more effective in accelerating wound closure in the early stages of the healing process,enhancing tissue repair,and modulating the inflammatory response.We explore how PRF's unique properties contribute to a more controlled and effective healing process.By examining these findings,we aim to highlight PRF's potential as a promising therapeutic strategy for improved wound management.
基金supported by the National Key R&D Program of China(Grant Nos.2022YFA1403201 and 2024YFA1408104)the National Natural Science Foundation of China(Grant Nos.11927809 and 12434004)the Natural Science Foundation of Jiangsu Province(Grant No.BK20233001)。
文摘By measuring scanning tunneling spectroscopy on some large Bi islands deposited on FeTe_(0.55)Se_(0.45)superconductors,we observe clear in-gap edge states with double peaks at about±1.0 me V on the spectra measured near the perimeter of the islands.This feature is very different from the single zero-energy peak observed on some other small Bi islands.The edge states spread towards the inner side of the islands over a width of 2-3 nm.The two edge-state peaks at positive and negative energies move to higher values with the increase of the magnetic field,and they disappear near the transition temperature of FeTe_(0.55)Se_(0.45).Meanwhile,enhanced superconducting gaps are observed in the central regions of these Bi islands,which may be induced by the enhanced pair potential of the topological surface state.Our observations provide a valuable message for the edge state and the proximity-induced superconductivity on specific Bi islands grown on FeTe_(0.55)Se_(0.45)substrate.
基金National Natural Science Foundation of China(No.12372130)。
文摘With an increased utilization of carbon fiber reinforced polymers(CFRPs)in high temperature environments,investigating their effects on materials becomes exceedingly important.This study presents a comparative investigation of thermo-oxidative aging effects on the flexural performance of two carbon fiber reinforced composite laminates(CFRCLs):a quasi-isotropic plain-woven CFRCL and a quasi-isotropic unidirectional layup CFRCL(designated as PW-CFRCL and UD-CFRCL,respectively).The CFRCLs were subjected to thermo-oxidative aging for specific durations,and their flexural strength was evaluated through three-point bending tests.The flexural strength of the laminates decreased with the prolonged aging duration.Despite having lower fiber content,PW-CFRCLs showed higher flexural strength than UD-CFRCLs.After eight days of aging,the flexural strength of PW-CFRCLs decreased by merely 4%-5%,while that of UD-CFRCLs decreased by 11%-14%.After 32 days of aging,the thinner PW-CFRCL with the lowest fiber content exhibited the highest flexural strength(595.52 MPa),followed by the thinner UD-CFRCL(549.83 MPa),then the thicker PW-CFRCL(445.29 MPa)and finally,the thicker UD-CFRCL(393.90 MPa).The decline in flexural properties of the laminates was primarily attributed to matrix cracking and interface debonding resulting from matrix oxidation.To validate the universality of this result,the finite element method was employed,showing a good correlation with the experimental findings.
基金financially supported by the National Natural Science Foundation of China (Nos. 92372126,52373203)the Excellent Young Scientists Fund Program
文摘Advancing the integration of artificial intelligence and polymer science requires high-quality,open-source,and large-scale datasets.However,existing polymer databases often suffer from data sparsity,lack of polymer-property labels,and limited accessibility,hindering system-atic modeling across property prediction tasks.Here,we present OpenPoly,a curated experimental polymer database derived from extensive lit-erature mining and manual validation,comprising 3985 unique polymer-property data points spanning 26 key properties.We further develop a multi-task benchmarking framework that evaluates property prediction using four encoding methods and eight representative models.Our re-sults highlight that the optimized degree-of-polymerization encoding coupled with Morgan fingerprints achieves an optimal trade-off between computational cost and accuracy.In data-scarce condition,XGBoost outperforms deep learning models on key properties such as dielectric con-stant,glass transition temperature,melting point,and mechanical strength,achieving R2 scores of 0.65-0.87.To further showcase the practical utility of the database,we propose potential polymers for two energy-relevant applications:high temperature polymer dielectrics and fuel cell membranes.By offering a consistent and accessible benchmark and database,OpenPoly paves the way for more accurate polymer-property modeling and fosters data-driven advances in polymer genome engineering.
基金supported by the National Natural Science Foundation of China(Grant No.12274019)the NSAF Joint Fund(Grant No.U2230402)。
文摘Finding the optimal control is of importance to quantum metrology under a noisy environment.In this paper,we tackle the problem of finding the optimal control to enhance the performance of quantum metrology under an arbitrary non-Markovian bosonic environment.By introducing an equivalent pseudomode model,the non-Markovian dynamic evolution is reduced to a Lindblad master equation,which helps us to calculate the gradient of quantum Fisher information and perform the gradient ascent algorithm to find the optimal control.Our approach is accurate and circumvents the need for the Born-Markovian approximation.As an example,we consider the frequency estimation of a spin with pure dephasing under two types of non-Markovian environments.By maximizing the quantum Fisher information at a fixed evolution time,we obtain the optimal multi-axis control,which results in a notable enhancement in quantum metrology.The advantage of our method lies in its applicability to the arbitrary non-Markovian bosonic environment.
基金Project supported by the National Natural Science Foundation of China (Grant No. 52406102)Shandong Provincial Natural Science Foundation (Grant No. ZR2023QE258)。
文摘In order to meet the growing global energy demand and fulfill energy conservation and emission reduction goals, the efficient utilization of solar energy is becoming increasingly critical. However, the effects of high temperatures on solar absorption are rarely considered in practical research. Therefore, this study presents a porous zinc and silver sulfide solar absorber with high-temperature radiative cooling capabilities. The solar absorption rate and radiative cooling efficiency in the high-temperature range(636 K–1060 K) are computed using the finite-difference time-domain method. Furthermore, the impact of parameters such as characteristic length, porosity, incident angle, and pore shape factor on both the absorption rate and efficiency of the solar absorber is analyzed. The mechanism is further examined from the perspective of microscopic thermal radiation. The results show that, in the high-temperature range, the solar absorption rate increases with higher porosity and incident angles, reaching its peak when the characteristic length is 1 μm. These findings highlight the significant potential of the solar absorber for efficient solar energy harvesting in photo-thermal conversion applications within a specific high-temperature range.
基金Project supported by the Natural Science Foundation of Jiangsu Province(Grant Nos.BK20233001 and BK20243060)the National Natural Science Foundation of China(Grant No.62288101)。
文摘The estimation of quantum phase differences plays an important role in quantum simulation and quantum computation,yet existing quantum phase estimation algorithms face critical limitations in noisy intermediate-scale quantum(NISQ)devices due to their excessive depth and circuit complexity.We demonstrate a high-precision phase difference estimation protocol based on the Bayesian phase difference estimation algorithm and single-photon projective measurement.The iterative framework of the algorithm,combined with the independence from controlled unitary operations,inherently mitigates circuit depth and complexity limitations.Through an experimental realization on the photonic system,we demonstrate high-precision estimation of diverse phase differences,showing root-mean-square errors(RMSE)below the standard quantum limit𝒪(1/√N)and reaching the Heisenberg scaling𝒪(1/N)after a certain number of iterations.Our scheme provides a critical advantage in quantum resource-constrained scenarios,and advances practical implementations of quantum information tasks under realistic hardware constraints.
基金supported by the National Science Foundation of China(Grant No.12474218)Beijing Natural Science Foundation(Grant Nos.1242022 and 1252022).
文摘Inspired by the recent discovery of breathing kagome materials Nb_(3)Cl_(8) and Nb_(3)TeCl_(7),we have explored the influence of the breathing effect on the Hubbard model of the kagome lattice.Utilizing the determinant quantum Monte Carlo method,we first investigated the average sign problem in the breathing kagome lattice,which is influenced by both the breathing strength and the interaction strength.Secondly,we calculated the electronic kinetic energy,the direct current conductivity,and the electronic density of states at the Fermi level to determine the critical interaction strength for the metal-insulator transition.Our results indicate that the breathing effect,in conjunction with the interaction strength,drives the kagome system from a metal to an insulator.Finally,we evaluated the magnetic properties and constructed a phase diagram incorporating both transport and magnetic properties.The phase diagram reveals that as the interaction strength increases,the system transitions from a paramagnetic metal to a Mott insulator.Our research provides theoretical guidance for utilizing the breathing effect to control the band gaps,conductivity,and magnetic properties of kagome materials with electronic interactions.
基金Supported by National Natural Science Foundation of China(Grant No.11771070).
文摘In this paper,we compute sub-Riemannian limits of some important curvature variants associated with the connection with torsion for four dimensional twisted BCV spaces and derive a Gauss-Bonnet theorem for four dimensional twisted BCV spaces.
