Against the backdrop of the digital economy becoming a core engine for highquality regional economic development and Shandong accelerating the construction of a digital province,this paper identifies the industrial li...Against the backdrop of the digital economy becoming a core engine for highquality regional economic development and Shandong accelerating the construction of a digital province,this paper identifies the industrial life cycle of Shandong’s digital economy from 2011 to 2025 using the Logistic model.An evaluation index system is established covering four dimensions:digital infrastructure,digital industrialization,industrial digitalization,and digital governance.With the entropy weight method,it measures the digital economy development level of 16 prefecture-level cities in Shandong from 2020 to 2024 and analyzes its temporal and spatial evolution.The results show that Shandong’s digital economy is in the early growth stage,with a saturation value of 1,3986.552 billion yuan and projected growth peak in 2027.All cities achieved steady development,while the gap between leading and lagging cities widened slightly with an obvious Matthew effect.A stable three-tier spatial pattern has formed,featuring a layout of stronger east,weaker west,faster south,slower north.Industrial digitalization and digital governance serve as core driving forces,and the growth driver has shifted from infrastructure to industrial integration and technological innovation.Corresponding policy suggestions are put forward to support the balanced and high-quality development of Shandong’s digital economy.展开更多
The mirror energy difference(MED)of the mirror state,particularly for states exhibiting the Thomas-Ehrman shift,serves as a sensitive probe of mirror symmetry breaking.We employ the Gamow shell model,which includes th...The mirror energy difference(MED)of the mirror state,particularly for states exhibiting the Thomas-Ehrman shift,serves as a sensitive probe of mirror symmetry breaking.We employ the Gamow shell model,which includes the inter-nucleon correlation and continuum coupling,to investigate the MED for sd-shell nuclei by taking18Ne∕18O and19Na∕19O as examples.Our GSM provides good descriptions of the excitation energies and MEDs for the18Ne∕18O and19Na∕19O.Furthermore,our calculations also reveal that the large MED of the mirror states is caused by the significant occupation of the weakly bound or unbound s1∕2waves,giving the radial density distribution of the state in the proton-rich nucleus greater extension than that of mirror states in deeply bound neutron-rich nuclei.In addition,our GSM calculation shows that the contribution of the Coulomb interaction is different for the low-lying states in proton-rich nuclei,which significantly contributes to the MEDs of mirror states,as is well recognized.Finally,our GSM calculation indicates that the contributions of the nucleon-nucleon interaction are different for the mirror state,especially for the state of proton-rich nuclei bearing the Thomas-Ehrman shift,which also contributes to the significant mirror symmetry breaking with a large MED.展开更多
Due to the complex and dynamic nature of multi-phase interfaces,accurately capturing interface evolution remains one of the key challenges in multi-phase flow simulations,particularly in modeling bubble rising.In this...Due to the complex and dynamic nature of multi-phase interfaces,accurately capturing interface evolution remains one of the key challenges in multi-phase flow simulations,particularly in modeling bubble rising.In this study,a fully Lagrangian method is developed by using the Generalized Finite Difference(GFD)scheme,which we refer to as Finite Difference Particle Method(FDPM),and the Continuum Surface Force(CSF)model to simulate bubble dynamics.In this framework,the fluid is represented by particles,and all partial differential terms in the Navier–Stokes equations are discretized into symmetric linear systems using the GFD scheme.Notably,the interface curvature required by the CSF model is computed directly via the Laplacian of the color function,rather than through the divergence of the unit normal vector.The bubble relaxation cases with various density ratios(up to 1000)are tested,revealing that the pressure distributions inside and outside the bubbles generally agree with theoretical predictions.Finally,simulations of rising bubbles with a high density ratio(1:1000)and Reynolds number of 25 demonstrate that the time evolution of the bubble’s center of mass by FDPM is consistent with results obtained by the Smoothed Particle Hydrodynamics(SPH)and the Finite Element Method(FEM)approaches.展开更多
Objective:Near vision loss(NVL)is one of the leading causes of visual impairment worldwide,exerting a profound impact on individual quality of life and socio-economic development.This study aims to analyze the burden ...Objective:Near vision loss(NVL)is one of the leading causes of visual impairment worldwide,exerting a profound impact on individual quality of life and socio-economic development.This study aims to analyze the burden of NVL in China by sex and age groups from 1990 to 2021 and to project trends over the next 15 years.Methods:Using data from the Global Burden of Disease(GBD)2021 database,we conducted descriptive analyses of NVL prevalence in China,calculated age-standardized prevalence rates(ASPR)and age-standardized disability-adjusted life years rates(ASDR)to compare burden differences between sexes and age groups,and applied an autoregressive integrated moving average(ARIMA)model to predict NVL trends for the next 15 years.The model selection was based on best-fit criteria to ensure reliable projections.Results:From 1990 to 2021,China’s ASPR of NVL rose from 10096.24/100000 to 15624.54/100000,and ASDR increased from 101.75/100000 to 158.75/100000.In 2021,ASPR(16551.70/100000)and ASDR(167.69/100000)were higher among females than males(14686.21/100000 and 149.76/100000,respectively).China ranked highest globally in both NVL cases and disability-adjusted life years(DALYs),with female burden significantly exceeding male burden.Projections indicated this trend and sex gap will persist until 2036.Compared with 1990,the prevalence cases and DALYs increased by 239.20%and 238.82%,respectively in 2021,with the highest burden among females and the 55−59 age group.The ARIMA model predicted continued increases in prevalence and DALYs by 2036,with females maintaining a higher burden than males.Conclusion:This study reveals a marked increase in the NVL burden in China and predicts continued growth in the coming years.Public health policies should prioritize NVL prevention and control,with special attention to women and middle-aged populations to mitigate long-term societal and health impacts.展开更多
Global warming has been one of the major concerns behind the world's high-speed economic growth. How to implement the coordinated development of the carbon footprint and the economy will be the core issue of the worl...Global warming has been one of the major concerns behind the world's high-speed economic growth. How to implement the coordinated development of the carbon footprint and the economy will be the core issue of the world's economic and social development, as well as the heated debate of the research at home and abroad in recent years. Based on the energy consumption, integrated with the "Top-Down" life cycle approach and geographically weighted regression (GWR) model, this paper analyzed the spatial differences and multi-mechanism of carbon footprint in provincial China in 2010. Firstly, this study calculated the amount of carbon footprint of each province using "Top-Down" life cycle approach and found that there were significant differences of carbon footprint and per capita carbon footprint in provincial China. The provinces with higher carbon footprint, mainly located in northern China, have large economic scales; the provinces with higher per capita carbon footprint are mainly distributed in central cities such as Beijing, Shanghai and energy-rich regions and heavy chemical bases. Secondly, with the aid of GIS and spatial analysis model (GWR model), this paper had unfolded that the expansion of economic scale is the main driver of the rapid growth of carbon footprint. The growth of population and urbanization also acted as promoting factors for the increase of the carbon footprint. Energy structure had no considerable promoting effect for the increase of the carbon footprint. Improving energy efficiency is the most important factor to inhibit the growing carbon footprint. Thirdly, developing low-carbon economies and low-carbon industries, as well as advocating low-carbon city construction and improving carbon efficiency would be the primary approaches to inhibit the rapid growth of carbon footprint. Moderately controlling the economic scale and population size would also be required to alleviate carbon footprint. Meanwhile, environmental protection and construction of low-carbon cities would evoke extensive attention in the process of urbanization.展开更多
To address the difficulty in recognizing subtle differences in facial biomarkers in children with autism,a learnable positional encoding enhancement(LPEE)module was combined with the adaptive token aggregation(ATA)mod...To address the difficulty in recognizing subtle differences in facial biomarkers in children with autism,a learnable positional encoding enhancement(LPEE)module was combined with the adaptive token aggregation(ATA)module.The vision transformer with learnable positional encoding and adaptive token aggregation(Vi T-LPATA),a predictive model for autism,was proposed.The model leverages the LPEE module to dynamically capture facial geometric deformation features and integrates the ATA module to enhance the feature representation capability of pathological regions,thereby establishing precise mappings of biomarker differences.Experiments on a publicly available autism facial dataset demonstrated that the Vi T-LPATA achieved optimal performance,with 99.2%accuracy and an area under the curve(AUC)value of 0.940.展开更多
This study developed a comprehensive system to evaluate the intensity of cropland use and evolution of cropland use in the Huang-Huai-Hai Plain.Delphi-entropy methods were adopted to determine the weight of the index,...This study developed a comprehensive system to evaluate the intensity of cropland use and evolution of cropland use in the Huang-Huai-Hai Plain.Delphi-entropy methods were adopted to determine the weight of the index,and the Geo Detector model was established to explore the influencing factors.The results are summarized as follows:(1) The intensity of inputs,degree of utilization,and production increased continuously,but the intensity of continuous conditions experienced an overall decline followed by a rebound towards the end of the study period.The number of counties with high and moderately high intensity increased by 56.8% and 14.6%,respectively,from 1996 to 2011.The number of counties with moderately low and low intensity declined by 35.9 % and 11.9 %,respectively.Areas with significant increases in intensity were mainly distributed in northeast Hebei Province,northwest Shandong Province,and north Jiangsu Province.The intensity is high in northern Jiangsu and Anhui;the output effect remained above moderate intensity mainly near Beijing,Tianjin,Tangshan,and counties in the suburbs of Shijiazhuang.(2) Natural disasters,elevation,slope,and road networks were the main factors influencing the intensity of cropland use in this region,with influence values of 0.158,0.143,0.129,and 0.054,respectively.Areas with moderately high and high levels of intensity were distributed in low-lying areas.Uneven distribution of precipitation,seasonal drought,and flood disasters can directly affect the stability index of croplands and reduce the intensity of cropland use.Developed road networks are associated with moderately high intensity.Our results suggest recommendations such as promoting agricultural intensification and large-scale management,promoting the construction of road networks,improving early warning systems for drought and flood disasters,and promoting moderate and intensive use of arable land,and focusing on restoration and sustainable use of cropland.展开更多
The Tazhong paleouplift is divided into the upper and the lower structural layers, bounded by the unconformity surface at the top of the Ordovician carbonate rock. The reservoirs in the two layers from different parts...The Tazhong paleouplift is divided into the upper and the lower structural layers, bounded by the unconformity surface at the top of the Ordovician carbonate rock. The reservoirs in the two layers from different parts vary in number, type and reserves, but the mechanism was rarely researched before. Therefore, an explanation of the mechanism will promote petroleum exploration in Tazhong paleouplift. After studying the evolution and reservoir distribution of the Tazhong paleouplift, it is concluded that the evolution in late Caledonian, late Hercynian and Himalayan periods resulted in the upper and the lower structural layers. It is also defined that in the upper structural layer, structural and stratigraphic overlap reservoirs are developed at the top and the upper part of the paleouplift, which are dominated by oil reservoirs, while for the lower structural layer, lithological reservoirs are developed in the lower part of the paleouplift, which are dominated by gas reservoirs, and more reserves are discovered in the lower structural layer than the upper. Through a comparative analysis of accumulation conditions of the upper and the lower structural layers, the mechanism of enrichment differences is clearly explained. The reservoir and seal conditions of the lower structural layer are better than those of the upper layer, which is the reason why more reservoirs have been found in the former. The differences in the carrier system types, trap types and charging periods between the upper and the lower structural layers lead to differences in the reservoir types and distribution. An accumulation model is established for the Tazhong paleouplift. For the upper structural layer, the structural reservoirs and the stratigraphic overlap reservoirs are formed at the upper part of the paleouplift, while for the lower structural layer, the weathering crust reservoirs are formed at the top, the reef-flat reservoirs are formed on the lateral margin, the karst and inside reservoirs are formed in the lower part of the paleouplift.展开更多
Obsessive-compulsive disorder (OCD) is characterized by obsessions (intrusive thoughts, images etc.) and compulsions (repetitive, stereotyped and perseverant acts). Animal models of OCD are specifically devoted to sim...Obsessive-compulsive disorder (OCD) is characterized by obsessions (intrusive thoughts, images etc.) and compulsions (repetitive, stereotyped and perseverant acts). Animal models of OCD are specifically devoted to simulating compulsive features of the disorder. In OCD, compulsive behaviors are recognized as repetitive and maladaptive and symptoms relief can be experienced due to treatment with selective serotonin reuptake inhibitors. Many animal models of OCD are provided with some degree of validity. Genetically based differences in behavior in animal models of OCD are of great value, given that human OCD is reported to involve genetic factors. Some animal models of OCD were already used in studies for the evaluation of strain differences. These works were explored in the present review.展开更多
Adaptive mate choice has been accepted as the leading theory to explain the colorful plumage of birds.This theory hypothesizes that conspicuous colors act as signals to advertise the qualities of the owners.However,a ...Adaptive mate choice has been accepted as the leading theory to explain the colorful plumage of birds.This theory hypothesizes that conspicuous colors act as signals to advertise the qualities of the owners.However,a dilemma arises in that conspicuous colors may not only attract mates,but also alert predators.The"private channels of communication"hypothesis proposes that some intraspecific signals may not be visible to heterospecific animals because of different visual systems.To better understand the evolution of plumage colors and sexual selection in birds,here we studied the chromatic difference and achromatic differences of melanin-and carotenoid-based plumage coloration in five minivet species(Pericrocotus spp.)under conspecific and predator visual systems.We found that either the chromatic or achromatic difference among male or female minivets’plumage was consistently higher under conspecific vision than under predator vision for all five studied species of minivets.This result indicated that individual differences in plumage colors of minivets were visible to the conspecific receivers and hidden from potential predators as a result of evolution under predation risk and conspecific communication.However,males were under a higher risk of predation because they were more conspicuous than females to the vision of a nocturnal predator.展开更多
Electricity productivity is regarded as a major assessment indicator in the design of energy saving policies,given that China has entered a“New Normal”of economic development.In fact,enhancing electricity productivi...Electricity productivity is regarded as a major assessment indicator in the design of energy saving policies,given that China has entered a“New Normal”of economic development.In fact,enhancing electricity productivity in an all-round way,as is one of the binding indicators for energy and environmental issues,means that non-growth target of total electric energy consumption in the economic development is feasible.The Gini coefficient,Theil index,and Mean log deviation are utilized to measure regional differences in China’s electricity productivity from 1997 to 2016 in five regions,and conditionalβconvergence is empirically analyzed with the spatial Durbin model.The results show that:(1)China’s electricity productivity is improving,while the overall feature is that the eastern area has a higher efficiency than the western area.(2)The difference in electricity productivity is the smallest in the northeast and the largest in the northwest.Interregional difference plays an important role and is the main cause for the differences.(3)The electricity productivity in China exhibitsβconvergence,except for the northwest.The positive driving factor is urbanization level(0.0485%),and the negative driving factor is FDI(–0.0104%).Moreover,the urbanization rate(0.0669%),foreign direct investment(0.0960%),and the industrial structure(–0.0769%)have a spatial spillover effect on improving regional electricity productivity.Based on this conclusion,the study provides some recommendations for saving energy policy design in China’s power industry.展开更多
The experimental large fluctuation in odd-even differences in moments ofinertia of deformed actinide nuclei is investigated using the particle-number conserving (PNC)method for treating the cranked shell model with mo...The experimental large fluctuation in odd-even differences in moments ofinertia of deformed actinide nuclei is investigated using the particle-number conserving (PNC)method for treating the cranked shell model with monopole and quadrupole pairing interactions. PNCcalculations show that the large odd-even difference in moments of inertia mainly comes from theinterference contributions j(μv) from particles in high j intruder orbitals μ and v quite near theFermi surface, which have no counterpart in the BCS formalism. The effective monopole andquadrupole pairing interaction strengths are determined to fit the experimental odd-even differencesin binding energies and bandhead moments of inertia. The experimental results for the variation ofmoments of inertia with rotational frequency ω are reproduced well by the PNC calculation. Thenearly identical experimental moments of inertia between ~(236)U(gsb) and ~(238)U(gsb) at lowfrequencies hω ≤ 0.20 MeV are also reproduced quite well.展开更多
On the basis of the previous researches and the ecological footprint theory,we use the cross-sectional data of Chinese energy consumption in 2007 to calculate the regional differences of energy consumption footprint o...On the basis of the previous researches and the ecological footprint theory,we use the cross-sectional data of Chinese energy consumption in 2007 to calculate the regional differences of energy consumption footprint of 30 provinces in China;by using the method of EEF calculation method,we calculate the regional distribution of EFI and analyze its law;through the construction of STIRPAT model,we reveal the relationship between EEF and factors of population and economy.The results show that provinces with higher EEF mainly concentrate in the Middle Eastern China,which have a developed industry,such as Shandong,Hebei,Liaoning Province and so on.However,provinces with lower EEF mainly concentrate in the Western China,which have a relatively poor economy,such as Ningxia,Qinghai Province and so on.These results are in accordance with the area distribution of China's economic development level.The EFI decreases gradually from west to east.As the level of regional economy is improved,the EFI has the downward trend.The quantity of population shows notable impact on EFI.The per capita GDP does not show the nagative relationship with EFI,which can not prove the existence of Environmental Kuznets Curve.展开更多
Slopes in arid and semi-arid areas typically have low vegetation cover and are highly susceptible to extreme precipitation-induced hazards such as landslides and debris flows.Although ecological slope protection can r...Slopes in arid and semi-arid areas typically have low vegetation cover and are highly susceptible to extreme precipitation-induced hazards such as landslides and debris flows.Although ecological slope protection can regulate soil water dynamics through canopy interception,transpiration,and root water uptake,the specific moisture-regulation roles of different vegetation types remain unclear.In this study,Festuca arundinacea Schreb.(tall fescue)and Medicago sativa L.(alfalfa)were selected as representative slope-protecting species.Long-term field monitoring combined with HYDRUS 2D/3D numerical simulations was employed to analyze soil moisture dynamics under precipitation events.The results indicated that the dense canopy of tall fescue effectively delayd surface runoff and enhanced infiltration,increasing shallow soil moisture to 33.400%;however,its strong transpiration caused rapid post-precipitation depletion,with moisture decreasing by approximately 1.500%.In contrast,the sparse canopy of alfalfa leads to lower surface soil moisture(32.800%),while its deep taproot system facilitated downward water migration,gradually increasing deep soil moisture and maintaining post-precipitation stability.Numerical simulations further revealed distinct interspecific differences in precipitation response,soil moisture evolution,and vertical water redistribution.Shallow-rooted tall fescue exhibited rapid,short-term responses in the shallow layer,whereas deep-rooted alfalfa demonstrated deep-layer water storage and long-term stability.The findings demonstrate that vegetation type exerts distinct regulatory effects on overall slope moisture dynamics,offering a scientific foundation for optimizing slope-protection plant selection and enhancing hydrological regulation under extreme climatic conditions in arid and semi-arid areas.展开更多
The current infrared image pedestrian detectors have problems with high rates of false positives and false negatives. To solve these problems, we proposed an improved anchor-free fully convolutional one-stage object d...The current infrared image pedestrian detectors have problems with high rates of false positives and false negatives. To solve these problems, we proposed an improved anchor-free fully convolutional one-stage object detection(FCOS) algorithm. Firstly, we introduced the channel attention module squeeze excitation(SE)-Block in the FCOS backbone network, which was used to learn how to model the relative importance between different feature channels, and to achieve the weight recalibration of the features extracted from the convolution neural network, and improve the weight values that are more important for pedestrian target detection. Secondly, soft non-maximum suppression(Soft-NMS) replaced the conventional NMS within the algorithm's post-processing phase, which was used to reduce the probability of missed detection for occluded pedestrians. The experimental results show that our improved FCOS algorithm improves the average precision(AP) by 6.71% on the original dataset and 7.97% on the augmented KAIST pedestrian dataset compared with the original FCOS algorithm. Our improvements effectively meet the real-time requirements and there is no significant decrease in speed compared with the original FCOS algorithm, and decreased the false positives and false negatives for infrared image pedestrian detection.展开更多
In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6...In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6%infection in Asia,and 22.1%and 14.7%infection rates in Europe and North America,respectively.To study the dynamics of Leukemia,the population of cells has been divided into three subpopulations of cells susceptible cells,infected cells,and immune cells.To investigate the memory effects and uncertainty in disease progression,leukemia modeling is developed using stochastic fractional delay differential equations(SFDDEs).The feasible properties of positivity,boundedness,and equilibria(i.e.,Leukemia Free Equilibrium(LFE)and Leukemia Present Equilibrium(LPE))of the model were studied rigorously.The local and global stabilities and sensitivity of the parameters around the equilibria under the assumption of reproduction numbers were investigated.To support the theoretical analysis of the model,the Grunwald Letnikov Nonstandard Finite Difference(GL-NSFD)method was used to simulate the results of each subpopulation with memory effect.Also,the positivity and boundedness of the proposed method were studied.Our results show how different methods can help control the cell population and give useful advice to decision-makers on ways to lower leukemia rates in communities.展开更多
Food nitrogen footprint(FNF)reflects nitrogen(N)losses associated with food consumption and production,and is an important indicator for evaluating food-system-related environmental pressure.Understanding the spatiote...Food nitrogen footprint(FNF)reflects nitrogen(N)losses associated with food consumption and production,and is an important indicator for evaluating food-system-related environmental pressure.Understanding the spatiotemporal dynamics and driving factors of FNF is essential for improving N management in rapidly developing regions.This study calculated food nitrogen footprint in urban areas(FNFu)and rural areas(FNFr)across 31 provincial-level administrative units in China from 2015 to 2023 using an FNF accounting framework based on provincial virtual nitrogen factor values.On this basis,the spatiotemporal dynamics of FNFu and FNFr were analyzed,and the spatial Durbin model was employed to identify their influencing factors.The relationship between FNF and the Human Development Index(HDI)was further examined in a global context,and energy nitrogen footprint(ENF)was estimated from 2015 to 2022 to compare the relative contributions of food-and energy-related N losses to China’s nitrogen footprint(NF).The results showed that FNFu increased from 15.77 to 19.33 kg N/(cap·yr),while FNFr increased from 13.94 to 19.69 kg N/(cap·yr).FNFr gradually approached FNFu and surpassed it since 2022,indicating that rural food systems have become an increasingly important source of food-related N losses.Spatially,FNFu showed increasing localized concentration of high values,whereas high FNFr became more concentrated in southeastern and southern coastal provinces.Socioeconomic and production-related factors showed differentiated effects on FNFu and FNFr.The Engel coefficient(EC)had significant positive direct effects on both FNFu and FNFr(P<0.001),whereas its indirect effect was significantly negative for FNFu(P<0.001)but significantly positive for FNFr(P<0.01).The proportion of animalbased food consumption(PAFC)was the dominant driver of FNFu,with significant positive direct,indirect,and total effects(P<0.001).Average household size(AHS)had a significant negative indirect effect on FNFu(P<0.001)and a significant positive indirect effect on FNFr(P<0.01).The FNF-HDI fitting results showed an inverted U-shaped relationship,and China’s FNF remained on the rising stage of the fitted FNF-HDI curve.The FNF-ENF comparison indicated that FNF remained the dominant component of China’s NF,while ENF showed a general decline after 2018.These findings suggest that future N management in China should prioritize foodsystem interventions,especially rural dietary transition,agricultural N input control,and waste treatment improvement,while continuing energy-related N mitigation.展开更多
Finite-difference(FD) methods are widely used in seismic forward modeling owing to their computational efficiency but are not readily applicable to irregular topographies. Thus, several FD methods based on the transfo...Finite-difference(FD) methods are widely used in seismic forward modeling owing to their computational efficiency but are not readily applicable to irregular topographies. Thus, several FD methods based on the transformation to curvilinear coordinates using body-fitted grids have been proposed, e.g., stand staggered grid(SSG) with interpolation, nonstaggered grid, rotated staggered grid(RSG), and fully staggered. The FD based on the RSG is somewhat superior to others because it satisfies the spatial distribution of the wave equation without additional memory and computational requirements; furthermore, it is simpler to implement. We use the RSG FD method to transform the firstorder stress–velocity equation in the curvilinear coordinates system and introduce the highprecision adaptive, unilateral mimetic finite-difference(UMFD) method to process the freeboundary conditions of an irregular surface. The numerical results suggest that the precision of the solution is higher than that of the vacuum formalism. When the minimum wavelength is low, UMFD avoids the surface wave dispersion. We compare FD methods based on RSG, SEM, and nonstaggered grid and infer that all simulation results are consistent but the computational efficiency of the RSG FD method is higher than the rest.展开更多
In this paper, a new lattice hydrodynamic model based on Nagatani's model INagatani T 1998 Physica A 261 5991 is presented by introducing the flow difference effect. The stability condition for the new model is obtai...In this paper, a new lattice hydrodynamic model based on Nagatani's model INagatani T 1998 Physica A 261 5991 is presented by introducing the flow difference effect. The stability condition for the new model is obtained by using the linear stability theory. The result shows that considering the flow difference effect leads to stabilization of the system compared with the original lattice hydrodynamic model. The jamming transitions among the freely moving phase, the coexisting phase, and the uniform congested phase are studied by nonlinear analysis. The modified KdV equation near the critical point is derived to describe the traffic jam, and kink -antikink soliton solutions related to the traffic density waves are obtained. The simulation results are consistent with the theoretical analysis for the new model.展开更多
Nowadays,battery electric vehicles are increasingly used,from passenger cars to heavy-duty commercial vehicles,trains,and ships,all in an effort to reduce greenhouse gas emissions.In electric vehicles,battery capacity...Nowadays,battery electric vehicles are increasingly used,from passenger cars to heavy-duty commercial vehicles,trains,and ships,all in an effort to reduce greenhouse gas emissions.In electric vehicles,battery capacity significantly affects their range and performance,but a larger battery also increases the vehicle's mass and cost.This paper proposes parametric optimization of battery capacity and peak electric motor power for electric vehicles under different load types and vehicle capacities.A computational model of an electric vehicle is developed,with parameters such as battery capacity,payload,and peak motor power being variable.Using parametric optimization algorithms,the optimal electric vehicle configuration for different load types and battery capacities is determined.Based on the optimization results,the relationships between the parameters are analyzed,and a conclusion is presented.展开更多
摘要Against the backdrop of the digital economy becoming a core engine for highquality regional economic development and Shandong accelerating the construction of a digital province,this paper identifies the industrial life cycle of Shandong’s digital economy from 2011 to 2025 using the Logistic model.An evaluation index system is established covering four dimensions:digital infrastructure,digital industrialization,industrial digitalization,and digital governance.With the entropy weight method,it measures the digital economy development level of 16 prefecture-level cities in Shandong from 2020 to 2024 and analyzes its temporal and spatial evolution.The results show that Shandong’s digital economy is in the early growth stage,with a saturation value of 1,3986.552 billion yuan and projected growth peak in 2027.All cities achieved steady development,while the gap between leading and lagging cities widened slightly with an obvious Matthew effect.A stable three-tier spatial pattern has formed,featuring a layout of stronger east,weaker west,faster south,slower north.Industrial digitalization and digital governance serve as core driving forces,and the growth driver has shifted from infrastructure to industrial integration and technological innovation.Corresponding policy suggestions are put forward to support the balanced and high-quality development of Shandong’s digital economy.
基金supported the National Key R&D Program of China(Nos.2024YFE0109800,2024YFE0109802,and 2023YFA1606403)the National Natural Science Foundation of China(Nos.12375123,12205340,12347106,and 12121005)+2 种基金the Natural Science Foundation of Henan Province(No.242300421048)the Gansu Natural Science Foundation(Nos.22JR5RA123 and 25JRRA467)the State Key Laboratory of Nuclear Physics and Technology,Peking University(No.NPT2020KFY13)。
摘要The mirror energy difference(MED)of the mirror state,particularly for states exhibiting the Thomas-Ehrman shift,serves as a sensitive probe of mirror symmetry breaking.We employ the Gamow shell model,which includes the inter-nucleon correlation and continuum coupling,to investigate the MED for sd-shell nuclei by taking18Ne∕18O and19Na∕19O as examples.Our GSM provides good descriptions of the excitation energies and MEDs for the18Ne∕18O and19Na∕19O.Furthermore,our calculations also reveal that the large MED of the mirror states is caused by the significant occupation of the weakly bound or unbound s1∕2waves,giving the radial density distribution of the state in the proton-rich nucleus greater extension than that of mirror states in deeply bound neutron-rich nuclei.In addition,our GSM calculation shows that the contribution of the Coulomb interaction is different for the low-lying states in proton-rich nuclei,which significantly contributes to the MEDs of mirror states,as is well recognized.Finally,our GSM calculation indicates that the contributions of the nucleon-nucleon interaction are different for the mirror state,especially for the state of proton-rich nuclei bearing the Thomas-Ehrman shift,which also contributes to the significant mirror symmetry breaking with a large MED.
基金funded by National Natural Science Foundation of China(Nos.12474441 and 51809208).
摘要Due to the complex and dynamic nature of multi-phase interfaces,accurately capturing interface evolution remains one of the key challenges in multi-phase flow simulations,particularly in modeling bubble rising.In this study,a fully Lagrangian method is developed by using the Generalized Finite Difference(GFD)scheme,which we refer to as Finite Difference Particle Method(FDPM),and the Continuum Surface Force(CSF)model to simulate bubble dynamics.In this framework,the fluid is represented by particles,and all partial differential terms in the Navier–Stokes equations are discretized into symmetric linear systems using the GFD scheme.Notably,the interface curvature required by the CSF model is computed directly via the Laplacian of the color function,rather than through the divergence of the unit normal vector.The bubble relaxation cases with various density ratios(up to 1000)are tested,revealing that the pressure distributions inside and outside the bubbles generally agree with theoretical predictions.Finally,simulations of rising bubbles with a high density ratio(1:1000)and Reynolds number of 25 demonstrate that the time evolution of the bubble’s center of mass by FDPM is consistent with results obtained by the Smoothed Particle Hydrodynamics(SPH)and the Finite Element Method(FEM)approaches.
基金supported by the Natural Science Foundation of Hunan Province(2023JJ30817)Hunan Provincial Natural Science Foundation-Hengyang City Joint Fund Project(2025JJ70129)+1 种基金Changsha Natural Science Foundation(kq2403057)China。
摘要Objective:Near vision loss(NVL)is one of the leading causes of visual impairment worldwide,exerting a profound impact on individual quality of life and socio-economic development.This study aims to analyze the burden of NVL in China by sex and age groups from 1990 to 2021 and to project trends over the next 15 years.Methods:Using data from the Global Burden of Disease(GBD)2021 database,we conducted descriptive analyses of NVL prevalence in China,calculated age-standardized prevalence rates(ASPR)and age-standardized disability-adjusted life years rates(ASDR)to compare burden differences between sexes and age groups,and applied an autoregressive integrated moving average(ARIMA)model to predict NVL trends for the next 15 years.The model selection was based on best-fit criteria to ensure reliable projections.Results:From 1990 to 2021,China’s ASPR of NVL rose from 10096.24/100000 to 15624.54/100000,and ASDR increased from 101.75/100000 to 158.75/100000.In 2021,ASPR(16551.70/100000)and ASDR(167.69/100000)were higher among females than males(14686.21/100000 and 149.76/100000,respectively).China ranked highest globally in both NVL cases and disability-adjusted life years(DALYs),with female burden significantly exceeding male burden.Projections indicated this trend and sex gap will persist until 2036.Compared with 1990,the prevalence cases and DALYs increased by 239.20%and 238.82%,respectively in 2021,with the highest burden among females and the 55−59 age group.The ARIMA model predicted continued increases in prevalence and DALYs by 2036,with females maintaining a higher burden than males.Conclusion:This study reveals a marked increase in the NVL burden in China and predicts continued growth in the coming years.Public health policies should prioritize NVL prevention and control,with special attention to women and middle-aged populations to mitigate long-term societal and health impacts.
基金National Natural Science Foundation of China, No.41371177 Major Program of National Social Science Foundation of China, No. 13&ZD027
摘要Global warming has been one of the major concerns behind the world's high-speed economic growth. How to implement the coordinated development of the carbon footprint and the economy will be the core issue of the world's economic and social development, as well as the heated debate of the research at home and abroad in recent years. Based on the energy consumption, integrated with the "Top-Down" life cycle approach and geographically weighted regression (GWR) model, this paper analyzed the spatial differences and multi-mechanism of carbon footprint in provincial China in 2010. Firstly, this study calculated the amount of carbon footprint of each province using "Top-Down" life cycle approach and found that there were significant differences of carbon footprint and per capita carbon footprint in provincial China. The provinces with higher carbon footprint, mainly located in northern China, have large economic scales; the provinces with higher per capita carbon footprint are mainly distributed in central cities such as Beijing, Shanghai and energy-rich regions and heavy chemical bases. Secondly, with the aid of GIS and spatial analysis model (GWR model), this paper had unfolded that the expansion of economic scale is the main driver of the rapid growth of carbon footprint. The growth of population and urbanization also acted as promoting factors for the increase of the carbon footprint. Energy structure had no considerable promoting effect for the increase of the carbon footprint. Improving energy efficiency is the most important factor to inhibit the growing carbon footprint. Thirdly, developing low-carbon economies and low-carbon industries, as well as advocating low-carbon city construction and improving carbon efficiency would be the primary approaches to inhibit the rapid growth of carbon footprint. Moderately controlling the economic scale and population size would also be required to alleviate carbon footprint. Meanwhile, environmental protection and construction of low-carbon cities would evoke extensive attention in the process of urbanization.
基金supported by the Scientific Research Project of Hunan Provincial Education DepartmentChina(No.23A0423)+1 种基金the Natural Science Foundation of Hunan ProvinceChina(No.2025JJ70029)。
摘要To address the difficulty in recognizing subtle differences in facial biomarkers in children with autism,a learnable positional encoding enhancement(LPEE)module was combined with the adaptive token aggregation(ATA)module.The vision transformer with learnable positional encoding and adaptive token aggregation(Vi T-LPATA),a predictive model for autism,was proposed.The model leverages the LPEE module to dynamically capture facial geometric deformation features and integrates the ATA module to enhance the feature representation capability of pathological regions,thereby establishing precise mappings of biomarker differences.Experiments on a publicly available autism facial dataset demonstrated that the Vi T-LPATA achieved optimal performance,with 99.2%accuracy and an area under the curve(AUC)value of 0.940.
基金Project of Ministry of Education Humanities and Social Sciences,No.16YJCZH082,No.16YJC630149
摘要This study developed a comprehensive system to evaluate the intensity of cropland use and evolution of cropland use in the Huang-Huai-Hai Plain.Delphi-entropy methods were adopted to determine the weight of the index,and the Geo Detector model was established to explore the influencing factors.The results are summarized as follows:(1) The intensity of inputs,degree of utilization,and production increased continuously,but the intensity of continuous conditions experienced an overall decline followed by a rebound towards the end of the study period.The number of counties with high and moderately high intensity increased by 56.8% and 14.6%,respectively,from 1996 to 2011.The number of counties with moderately low and low intensity declined by 35.9 % and 11.9 %,respectively.Areas with significant increases in intensity were mainly distributed in northeast Hebei Province,northwest Shandong Province,and north Jiangsu Province.The intensity is high in northern Jiangsu and Anhui;the output effect remained above moderate intensity mainly near Beijing,Tianjin,Tangshan,and counties in the suburbs of Shijiazhuang.(2) Natural disasters,elevation,slope,and road networks were the main factors influencing the intensity of cropland use in this region,with influence values of 0.158,0.143,0.129,and 0.054,respectively.Areas with moderately high and high levels of intensity were distributed in low-lying areas.Uneven distribution of precipitation,seasonal drought,and flood disasters can directly affect the stability index of croplands and reduce the intensity of cropland use.Developed road networks are associated with moderately high intensity.Our results suggest recommendations such as promoting agricultural intensification and large-scale management,promoting the construction of road networks,improving early warning systems for drought and flood disasters,and promoting moderate and intensive use of arable land,and focusing on restoration and sustainable use of cropland.
基金supported by the National 973 Key Development Program for Basic Research of China(S/N: 2006CB202308)the National Natural Science Foundation of China(Grant No.40972088)
摘要The Tazhong paleouplift is divided into the upper and the lower structural layers, bounded by the unconformity surface at the top of the Ordovician carbonate rock. The reservoirs in the two layers from different parts vary in number, type and reserves, but the mechanism was rarely researched before. Therefore, an explanation of the mechanism will promote petroleum exploration in Tazhong paleouplift. After studying the evolution and reservoir distribution of the Tazhong paleouplift, it is concluded that the evolution in late Caledonian, late Hercynian and Himalayan periods resulted in the upper and the lower structural layers. It is also defined that in the upper structural layer, structural and stratigraphic overlap reservoirs are developed at the top and the upper part of the paleouplift, which are dominated by oil reservoirs, while for the lower structural layer, lithological reservoirs are developed in the lower part of the paleouplift, which are dominated by gas reservoirs, and more reserves are discovered in the lower structural layer than the upper. Through a comparative analysis of accumulation conditions of the upper and the lower structural layers, the mechanism of enrichment differences is clearly explained. The reservoir and seal conditions of the lower structural layer are better than those of the upper layer, which is the reason why more reservoirs have been found in the former. The differences in the carrier system types, trap types and charging periods between the upper and the lower structural layers lead to differences in the reservoir types and distribution. An accumulation model is established for the Tazhong paleouplift. For the upper structural layer, the structural reservoirs and the stratigraphic overlap reservoirs are formed at the upper part of the paleouplift, while for the lower structural layer, the weathering crust reservoirs are formed at the top, the reef-flat reservoirs are formed on the lateral margin, the karst and inside reservoirs are formed in the lower part of the paleouplift.
摘要Obsessive-compulsive disorder (OCD) is characterized by obsessions (intrusive thoughts, images etc.) and compulsions (repetitive, stereotyped and perseverant acts). Animal models of OCD are specifically devoted to simulating compulsive features of the disorder. In OCD, compulsive behaviors are recognized as repetitive and maladaptive and symptoms relief can be experienced due to treatment with selective serotonin reuptake inhibitors. Many animal models of OCD are provided with some degree of validity. Genetically based differences in behavior in animal models of OCD are of great value, given that human OCD is reported to involve genetic factors. Some animal models of OCD were already used in studies for the evaluation of strain differences. These works were explored in the present review.
基金supported by the National Natural Science Foundation of China(32260127)the Education Department of Hainan Province(HnjgY2022-12)+1 种基金the Hainan Provincial Natural Science Foundation of China(320CXTD437)the Hainan Provincial Innovative Research Program for Graduates(Qhys2022-241)。
摘要Adaptive mate choice has been accepted as the leading theory to explain the colorful plumage of birds.This theory hypothesizes that conspicuous colors act as signals to advertise the qualities of the owners.However,a dilemma arises in that conspicuous colors may not only attract mates,but also alert predators.The"private channels of communication"hypothesis proposes that some intraspecific signals may not be visible to heterospecific animals because of different visual systems.To better understand the evolution of plumage colors and sexual selection in birds,here we studied the chromatic difference and achromatic differences of melanin-and carotenoid-based plumage coloration in five minivet species(Pericrocotus spp.)under conspecific and predator visual systems.We found that either the chromatic or achromatic difference among male or female minivets’plumage was consistently higher under conspecific vision than under predator vision for all five studied species of minivets.This result indicated that individual differences in plumage colors of minivets were visible to the conspecific receivers and hidden from potential predators as a result of evolution under predation risk and conspecific communication.However,males were under a higher risk of predation because they were more conspicuous than females to the vision of a nocturnal predator.
基金supported by Funds for the National Natural Science Foundation of China Youth Project(Grant Nos.71103120&51507099)Shanghai Social Science Planning General Project(Grant No.2018BGl019).
摘要Electricity productivity is regarded as a major assessment indicator in the design of energy saving policies,given that China has entered a“New Normal”of economic development.In fact,enhancing electricity productivity in an all-round way,as is one of the binding indicators for energy and environmental issues,means that non-growth target of total electric energy consumption in the economic development is feasible.The Gini coefficient,Theil index,and Mean log deviation are utilized to measure regional differences in China’s electricity productivity from 1997 to 2016 in five regions,and conditionalβconvergence is empirically analyzed with the spatial Durbin model.The results show that:(1)China’s electricity productivity is improving,while the overall feature is that the eastern area has a higher efficiency than the western area.(2)The difference in electricity productivity is the smallest in the northeast and the largest in the northwest.Interregional difference plays an important role and is the main cause for the differences.(3)The electricity productivity in China exhibitsβconvergence,except for the northwest.The positive driving factor is urbanization level(0.0485%),and the negative driving factor is FDI(–0.0104%).Moreover,the urbanization rate(0.0669%),foreign direct investment(0.0960%),and the industrial structure(–0.0769%)have a spatial spillover effect on improving regional electricity productivity.Based on this conclusion,the study provides some recommendations for saving energy policy design in China’s power industry.
摘要The experimental large fluctuation in odd-even differences in moments ofinertia of deformed actinide nuclei is investigated using the particle-number conserving (PNC)method for treating the cranked shell model with monopole and quadrupole pairing interactions. PNCcalculations show that the large odd-even difference in moments of inertia mainly comes from theinterference contributions j(μv) from particles in high j intruder orbitals μ and v quite near theFermi surface, which have no counterpart in the BCS formalism. The effective monopole andquadrupole pairing interaction strengths are determined to fit the experimental odd-even differencesin binding energies and bandhead moments of inertia. The experimental results for the variation ofmoments of inertia with rotational frequency ω are reproduced well by the PNC calculation. Thenearly identical experimental moments of inertia between ~(236)U(gsb) and ~(238)U(gsb) at lowfrequencies hω ≤ 0.20 MeV are also reproduced quite well.
基金Supported by Anhui Province Key Project of Natural Science Foundation((KJ2010A316)Project of Natural Science of Suzhou university(2009YZK01)
摘要On the basis of the previous researches and the ecological footprint theory,we use the cross-sectional data of Chinese energy consumption in 2007 to calculate the regional differences of energy consumption footprint of 30 provinces in China;by using the method of EEF calculation method,we calculate the regional distribution of EFI and analyze its law;through the construction of STIRPAT model,we reveal the relationship between EEF and factors of population and economy.The results show that provinces with higher EEF mainly concentrate in the Middle Eastern China,which have a developed industry,such as Shandong,Hebei,Liaoning Province and so on.However,provinces with lower EEF mainly concentrate in the Western China,which have a relatively poor economy,such as Ningxia,Qinghai Province and so on.These results are in accordance with the area distribution of China's economic development level.The EFI decreases gradually from west to east.As the level of regional economy is improved,the EFI has the downward trend.The quantity of population shows notable impact on EFI.The per capita GDP does not show the nagative relationship with EFI,which can not prove the existence of Environmental Kuznets Curve.
基金supported by the National Natural Science Foundation of China (42177142, 42041006)the Key Research and Development Program of Shaanxi Province (2023-YBSF-486)+1 种基金the 2024 Transportation Research Project of the Department of Transport of Shaanxi Province (24-38K)the Natural Science Basic Research Program of Shaanxi Province (2025JC-YBQN-605)
摘要Slopes in arid and semi-arid areas typically have low vegetation cover and are highly susceptible to extreme precipitation-induced hazards such as landslides and debris flows.Although ecological slope protection can regulate soil water dynamics through canopy interception,transpiration,and root water uptake,the specific moisture-regulation roles of different vegetation types remain unclear.In this study,Festuca arundinacea Schreb.(tall fescue)and Medicago sativa L.(alfalfa)were selected as representative slope-protecting species.Long-term field monitoring combined with HYDRUS 2D/3D numerical simulations was employed to analyze soil moisture dynamics under precipitation events.The results indicated that the dense canopy of tall fescue effectively delayd surface runoff and enhanced infiltration,increasing shallow soil moisture to 33.400%;however,its strong transpiration caused rapid post-precipitation depletion,with moisture decreasing by approximately 1.500%.In contrast,the sparse canopy of alfalfa leads to lower surface soil moisture(32.800%),while its deep taproot system facilitated downward water migration,gradually increasing deep soil moisture and maintaining post-precipitation stability.Numerical simulations further revealed distinct interspecific differences in precipitation response,soil moisture evolution,and vertical water redistribution.Shallow-rooted tall fescue exhibited rapid,short-term responses in the shallow layer,whereas deep-rooted alfalfa demonstrated deep-layer water storage and long-term stability.The findings demonstrate that vegetation type exerts distinct regulatory effects on overall slope moisture dynamics,offering a scientific foundation for optimizing slope-protection plant selection and enhancing hydrological regulation under extreme climatic conditions in arid and semi-arid areas.
基金supported by the Natural Science Fund of Heilongjiang Province(No.PL2024F027)the National Natural Science Foundation of China(No.61601174)。
摘要The current infrared image pedestrian detectors have problems with high rates of false positives and false negatives. To solve these problems, we proposed an improved anchor-free fully convolutional one-stage object detection(FCOS) algorithm. Firstly, we introduced the channel attention module squeeze excitation(SE)-Block in the FCOS backbone network, which was used to learn how to model the relative importance between different feature channels, and to achieve the weight recalibration of the features extracted from the convolution neural network, and improve the weight values that are more important for pedestrian target detection. Secondly, soft non-maximum suppression(Soft-NMS) replaced the conventional NMS within the algorithm's post-processing phase, which was used to reduce the probability of missed detection for occluded pedestrians. The experimental results show that our improved FCOS algorithm improves the average precision(AP) by 6.71% on the original dataset and 7.97% on the augmented KAIST pedestrian dataset compared with the original FCOS algorithm. Our improvements effectively meet the real-time requirements and there is no significant decrease in speed compared with the original FCOS algorithm, and decreased the false positives and false negatives for infrared image pedestrian detection.
基金supported by the Fundacao para a Ciencia e Tecnologia,FCT,under the project http://gffzzd3cc09b8251d45dfskfqq69bqk6b06qu5.ffgz.tsg.suse.edu.cn/10.54499/UIDB/04674/2020(accessed on 1 January 2025).
摘要In 2022,Leukemia is the 13th most common diagnosis of cancer globally as per the source of the International Agency for Research on Cancer(IARC).Leukemia is still a threat and challenge for all regions because of 46.6%infection in Asia,and 22.1%and 14.7%infection rates in Europe and North America,respectively.To study the dynamics of Leukemia,the population of cells has been divided into three subpopulations of cells susceptible cells,infected cells,and immune cells.To investigate the memory effects and uncertainty in disease progression,leukemia modeling is developed using stochastic fractional delay differential equations(SFDDEs).The feasible properties of positivity,boundedness,and equilibria(i.e.,Leukemia Free Equilibrium(LFE)and Leukemia Present Equilibrium(LPE))of the model were studied rigorously.The local and global stabilities and sensitivity of the parameters around the equilibria under the assumption of reproduction numbers were investigated.To support the theoretical analysis of the model,the Grunwald Letnikov Nonstandard Finite Difference(GL-NSFD)method was used to simulate the results of each subpopulation with memory effect.Also,the positivity and boundedness of the proposed method were studied.Our results show how different methods can help control the cell population and give useful advice to decision-makers on ways to lower leukemia rates in communities.
基金Under the auspices of the National Natural Science Foundation of China(No.42161144003,W2412156)the Open Fund Project of the Key Laboratory of Lake and Watershed Science for Water Security(No.2024SKL020)+1 种基金the General Project of Basic Science(Natural Science)Research in Jiangsu Provincial Colleges and Universities(No.24KJB170016)the National Key R&D Program of China(No.2018YFE0105900)。
摘要Food nitrogen footprint(FNF)reflects nitrogen(N)losses associated with food consumption and production,and is an important indicator for evaluating food-system-related environmental pressure.Understanding the spatiotemporal dynamics and driving factors of FNF is essential for improving N management in rapidly developing regions.This study calculated food nitrogen footprint in urban areas(FNFu)and rural areas(FNFr)across 31 provincial-level administrative units in China from 2015 to 2023 using an FNF accounting framework based on provincial virtual nitrogen factor values.On this basis,the spatiotemporal dynamics of FNFu and FNFr were analyzed,and the spatial Durbin model was employed to identify their influencing factors.The relationship between FNF and the Human Development Index(HDI)was further examined in a global context,and energy nitrogen footprint(ENF)was estimated from 2015 to 2022 to compare the relative contributions of food-and energy-related N losses to China’s nitrogen footprint(NF).The results showed that FNFu increased from 15.77 to 19.33 kg N/(cap·yr),while FNFr increased from 13.94 to 19.69 kg N/(cap·yr).FNFr gradually approached FNFu and surpassed it since 2022,indicating that rural food systems have become an increasingly important source of food-related N losses.Spatially,FNFu showed increasing localized concentration of high values,whereas high FNFr became more concentrated in southeastern and southern coastal provinces.Socioeconomic and production-related factors showed differentiated effects on FNFu and FNFr.The Engel coefficient(EC)had significant positive direct effects on both FNFu and FNFr(P<0.001),whereas its indirect effect was significantly negative for FNFu(P<0.001)but significantly positive for FNFr(P<0.01).The proportion of animalbased food consumption(PAFC)was the dominant driver of FNFu,with significant positive direct,indirect,and total effects(P<0.001).Average household size(AHS)had a significant negative indirect effect on FNFu(P<0.001)and a significant positive indirect effect on FNFr(P<0.01).The FNF-HDI fitting results showed an inverted U-shaped relationship,and China’s FNF remained on the rising stage of the fitted FNF-HDI curve.The FNF-ENF comparison indicated that FNF remained the dominant component of China’s NF,while ENF showed a general decline after 2018.These findings suggest that future N management in China should prioritize foodsystem interventions,especially rural dietary transition,agricultural N input control,and waste treatment improvement,while continuing energy-related N mitigation.
基金supported by the National Nature Science Foundation of China(Nos.41504102 and 41604037)National Science and Technology Major Project(No.2016ZX05015-006)Yangtze University Youth Found(No.2015cqn32)
摘要Finite-difference(FD) methods are widely used in seismic forward modeling owing to their computational efficiency but are not readily applicable to irregular topographies. Thus, several FD methods based on the transformation to curvilinear coordinates using body-fitted grids have been proposed, e.g., stand staggered grid(SSG) with interpolation, nonstaggered grid, rotated staggered grid(RSG), and fully staggered. The FD based on the RSG is somewhat superior to others because it satisfies the spatial distribution of the wave equation without additional memory and computational requirements; furthermore, it is simpler to implement. We use the RSG FD method to transform the firstorder stress–velocity equation in the curvilinear coordinates system and introduce the highprecision adaptive, unilateral mimetic finite-difference(UMFD) method to process the freeboundary conditions of an irregular surface. The numerical results suggest that the precision of the solution is higher than that of the vacuum formalism. When the minimum wavelength is low, UMFD avoids the surface wave dispersion. We compare FD methods based on RSG, SEM, and nonstaggered grid and infer that all simulation results are consistent but the computational efficiency of the RSG FD method is higher than the rest.
基金Project supported by the National Basic Research Program of China (Grant No. G2006CB705500)the National Natural Science Foundation of China (Grant Nos. 70501004,70701004 and 70631001)Program for New Century Excellent Talents in University(Grant No. NCET-07-0057)
摘要In this paper, a new lattice hydrodynamic model based on Nagatani's model INagatani T 1998 Physica A 261 5991 is presented by introducing the flow difference effect. The stability condition for the new model is obtained by using the linear stability theory. The result shows that considering the flow difference effect leads to stabilization of the system compared with the original lattice hydrodynamic model. The jamming transitions among the freely moving phase, the coexisting phase, and the uniform congested phase are studied by nonlinear analysis. The modified KdV equation near the critical point is derived to describe the traffic jam, and kink -antikink soliton solutions related to the traffic density waves are obtained. The simulation results are consistent with the theoretical analysis for the new model.
基金supported by the European Regional Development Fund under grant agreement PK.1.1.10.0007(DATACROSS).
摘要Nowadays,battery electric vehicles are increasingly used,from passenger cars to heavy-duty commercial vehicles,trains,and ships,all in an effort to reduce greenhouse gas emissions.In electric vehicles,battery capacity significantly affects their range and performance,but a larger battery also increases the vehicle's mass and cost.This paper proposes parametric optimization of battery capacity and peak electric motor power for electric vehicles under different load types and vehicle capacities.A computational model of an electric vehicle is developed,with parameters such as battery capacity,payload,and peak motor power being variable.Using parametric optimization algorithms,the optimal electric vehicle configuration for different load types and battery capacities is determined.Based on the optimization results,the relationships between the parameters are analyzed,and a conclusion is presented.