Quanto options allow the buyer to exchange the foreign currency payoff into the domestic currency at a fixed exchange rate. We investigate quanto options with multiple underlying assets valued in different foreign cur...Quanto options allow the buyer to exchange the foreign currency payoff into the domestic currency at a fixed exchange rate. We investigate quanto options with multiple underlying assets valued in different foreign currencies each with a different strike price in the payoff function. We carry out a comparative performance analysis of different stochastic volatility (SV), stochastic correlation (SC), and stochastic exchange rate (SER) models to determine the best combination of these models for Monte Carlo (MC) simulation pricing. In addition, we test the performance of all model variants with constant correlation as a benchmark. We find that a combination of GARCH-Jump SV, Weibull SC, and Ornstein Uhlenbeck (OU) SER performs best. In addition, we analyze different discretization schemes and their results. In our simulations, the Milstein scheme yields the best balance between execution times and lower standard deviations of price estimates. Furthermore, we find that incorporating mean reversion into stochastic correlation and stochastic FX rate modeling is beneficial for MC simulation pricing. We improve the accuracy of our simulations by implementing antithetic variates variance reduction. Finally, we derive the correlation risk parameters Cora and Gora in our framework so that correlation hedging of quanto options can be performed.展开更多
Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder.In this work,we develop SPRamNet,a neural...Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder.In this work,we develop SPRamNet,a neural network based machine-learning pipeline that effectively predicts structure-property relationship of amorphous material via global descriptors.Applying SPRamNet on the recently discovered amorphous monolayer carbon,we successfully predict the thermal and electronic properties.More importantly,we reveal that a short range of pair correlation function can readily encode sufficiently rich information of the structure of amorphous material.Utilizing powerful machine learning architectures,the encoded information can be decoded to reconstruct macroscopic properties involving many-body and long-range interactions.Establishing this hidden relationship offers a unified description of the degree of disorder and eliminates the heavy burden of measuring atomic structure,opening a new avenue in studying amorphous materials.展开更多
1.Introduction The strength-ductility trade-offdilemma has long been a per-sistent challenge in Al matrix composites(AMCs)[1,2].This is-sue primarily arises from the agglomeration of reinforcements at the grain bounda...1.Introduction The strength-ductility trade-offdilemma has long been a per-sistent challenge in Al matrix composites(AMCs)[1,2].This is-sue primarily arises from the agglomeration of reinforcements at the grain boundaries(GBs),which restricts local plastic flow dur-ing the plastic deformation and leads to stress concentration[3,4].Recently,the development of concepts aimed at achieving hetero-geneous grain has emerged as a promising approach for enhanc-ing comprehensive mechanical properties[5,6].展开更多
As pointed out in the paper preceding this one, in the case of functionals whose independent variable must obey conditions of integral normalization, conventional functional differentiation, defined in terms of an arb...As pointed out in the paper preceding this one, in the case of functionals whose independent variable must obey conditions of integral normalization, conventional functional differentiation, defined in terms of an arbitrary test function, is generally inapplicable and functional derivatives with respect to the density must be evaluated through the alternative and widely used limiting procedure based on the Dirac delta function. This leads to the determination of the rate of change of the dependent variable with respect to its independent variable at each isolated pair, , that may not be part of a functional (a set of ordered pairs). This extends the concept of functional derivative to expectation values of operators with respect to wave functions leading to a density even if the wave functions (and expectation values) do not form functionals. This new formulation of functional differentiation forms the basis for the study of the mathematical integrity of a number of concepts in density functional theory (DFT) such as the existence of a universal functional of the density, of orbital-free density functional theory, the derivative discontinuity of the exchange and correlation functional and the extension of DFT to open systems characterized by densities with fractional normalization. It is shown that no universal functional exists but, rather, a universal process based only on the density and independent of the possible existence of a potential, leads to unique functionals of the density determined through the minimization procedure of the constrained search. The mathematical integrity of two methodologies proposed for the treatment of the Coulomb interaction, the self-interaction free method and the optimized effective potential method is examined and the methodologies are compared in terms of numerical calculations. As emerges from this analysis, the optimized effective potential method is found to be numerically approximate but formally invalid, contrary to the rigorously exact results of the self-interaction-free method.展开更多
The study of rock failure mechanisms is fundamental to geotechnical engineering,as it enhances design quality and mitigates disaster risks.This research employed in situ compression tests on 3D-printed rocklike sample...The study of rock failure mechanisms is fundamental to geotechnical engineering,as it enhances design quality and mitigates disaster risks.This research employed in situ compression tests on 3D-printed rocklike samples with a single flaw,combining Micro-CT scans and a specialized loading device to analyze their behavior.Mechanical properties and failure modes of these printed samples were compared to those of natural flawed sandstones,demonstrating the capability of 3D printing to replicate natural rock characteristics.By reconstructing 3D crack evolution from 2D CT images and applying digital volume correlation(DVC),the study visualized internal strain fields and established a relationship between strain patterns and rock failure.The results reveal that crack initiation consistently occurs at the flaw,advancing into tensile and secondary shear or mixed cracks.For flaw angles(α)ranging from 0°to 45°,the 3D-printed samples exhibited a higher number of newly formed cracks and a faster increase in crack volume with strain.In contrast,for flaw angles of 45°≤α≤90°,the opposite trend was observed.The internal strain field exhibited significant strain localization,with this uneven distribution playing a critical role in sample failure.When the flaw angle was in the range of 0°≤α≤30°,failure was primarily driven by tensile cracks,forming distinct tensile bands.Conversely,for 30°<α≤90°,a combination of tensile and shear cracks dominated the failure,producing both shear and tensile bands in the sample.Additionally,the strain field component ε_(yy) showed a strong correlation with the evolution of internal damage,providing valuable insights into the underlying rock failure mechanisms.展开更多
It is shown that such phenomena as quantum correlations (interaction of space-separated quantum entities), the action of magnetic vector potential on quantum entities in the absence of magnetic field, and near-field a...It is shown that such phenomena as quantum correlations (interaction of space-separated quantum entities), the action of magnetic vector potential on quantum entities in the absence of magnetic field, and near-field antenna effect (the existence of superluminally propagating electromagnetic fields) may be explained by action of spin supercurrents. In case of quantum correlations between quantum entities, spin supercurrent emerges between virtual particles pairs (virtual photons) created by those quantum entities. The explanation of magnetic vector potential and near-field antenna effect is based on contemporary principle of quantum mechanics: the physical vacuum is not an empty space but the ground state of the field consisting of quantum harmonic oscillators (QHOs) characterized by zero-point energy. Using the properties of the oscillators and spin supercurrent, it is proved that magnetic vector potential is proportional to the moment causing the orientation of spin of QHO along the direction of magnetic field. The near-field antenna effect is supposed to take place as a result of action of spin supercurrent causing secondary electromagnetic oscillations. In this way, the electromagnetic field may spread at the speed of spin supercurrent. As spin supercurrent is an inertia free process, its speed may be greater than that of light, which does not contradict postulates of special relativity that sets limits to the speed of inertial systems only.展开更多
Since antiquity,humans have been involved in designing materials through alloying strategies to meet the ever-growing technological demands.In 2004,this endeavor witnessed a significant breakthrough with the discovery...Since antiquity,humans have been involved in designing materials through alloying strategies to meet the ever-growing technological demands.In 2004,this endeavor witnessed a significant breakthrough with the discovery of high-entropy alloys(HEAs)comprising multi-principal elements.Owing to the four“core-effects”,these alloys exhibit exceptional properties including better structural stability,high strength and ductility,improved fatigue/fracture toughness,high corrosion and oxidation resistance,superconductiv-ity,magnetic properties,and good thermal properties.Different synthesis routes have been designed and used to meet the properties of interest for particular applications with varying dimensions.How-ever,HEAs are providing new opportunities and challenges for computational modelling of the complex structure-property correlations and in predictions of phase stability necessary for optimum performance of the alloy.Several attempts have been made to understand these alloys by empirical and computa-tional models,and data-driven approaches to accelerate the materials discovery with a desired set of properties.The present review discusses advances and inferences from simulations and models spanning multiple length and time scales explaining a comprehensive set of structure-properties relations.Addi-tionally,the role of machine learning approaches is also reviewed,underscoring the transformative role of computational modelling in unravelling the multifaceted properties and applications of HEAs,and the scope for future efforts in this direction.展开更多
BACKGROUND Previous cellular studies have demonstrated that elevated expression of Cx43 promotes the degradation of cyclin E1 and inhibits cell proliferation through ubiquitination.Conversely,reduced expression result...BACKGROUND Previous cellular studies have demonstrated that elevated expression of Cx43 promotes the degradation of cyclin E1 and inhibits cell proliferation through ubiquitination.Conversely,reduced expression results in a loss of this capacity to facilitate cyclin E degradation.The ubiquitination and degradation of cyclin E1 may be associated with phosphorylation at specific sites on the protein,with Cx43 potentially enhancing this process by facilitating the phosphorylation of these critical residues.AIM To investigate the correlation between expression of Cx43,SKP1/Cullin1/F-box(SCF)FBXW7,p-cyclin E1(ser73,thr77,thr395)and clinicopathological indexes in colon cancer.METHODS Expression levels of Cx43,SCF^(FBXW7),p-cyclin E1(ser73,thr77,thr395)in 38 clinical colon cancer samples were detected by immunohistochemistry and were analyzed by statistical methods to discuss their correlations.RESULTS Positive rate of Cx43,SCF^(FBXW7),p-cyclin E1(Ser73),p-cyclin E1(Thr77)and p-cyclin E1(Thr395)in detected samples were 76.32%,76.32%,65.79%,5.26%and 55.26%respectively.Positive expressions of these proteins were not related to the tissue type,degree of tissue differentiation or lymph node metastasis.Cx43 and SCF^(FBXW7)(r=0.749),p-cyclin E1(Ser73)(r=0.667)and p-cyclin E1(Thr395)(r=0.457),SCF^(FBXW7) and p-cyclin E1(Ser73)(r=0.703)and p-cyclin E1(Thr395)(0.415)were correlated in colon cancer(P<0.05),and expressions of the above proteins were positively correlated in colon cancer.CONCLUSION Cx43 may facilitate the phosphorylation of cyclin E1 at the Ser73 and Thr195 sites through its interaction with SCF^(FBXW7),thereby influencing the ubiquitination and degradation of cyclin E1.展开更多
Portfolio selection based on the global minimum variance(GMV)model remains a significant focus in financial research.The covariance matrix,central to the GMV model,determines portfolio weights,and its accurate estimat...Portfolio selection based on the global minimum variance(GMV)model remains a significant focus in financial research.The covariance matrix,central to the GMV model,determines portfolio weights,and its accurate estimation is key to effective strategies.Based on the decomposition form of the covariance matrix.This paper introduces semi-variance for improved financial asymmetric risk measurement;addresses asymmetry in financial asset correlations using distance,asymmetric,and Chatterjee correlations to refine covariance matrices;and proposes three new covariance matrix models to enhance risk assessment and portfolio selection strategies.Testing with data from 30 stocks across various sectors of the Chinese market confirms the strong performance of the proposed strategies.展开更多
BACKGROUND The occurrence of chronic pain and disability after acute orthopedic trauma is significantly correlated with psychological factors,particularly depression and anxiety.As such,assessment of these factors is ...BACKGROUND The occurrence of chronic pain and disability after acute orthopedic trauma is significantly correlated with psychological factors,particularly depression and anxiety.As such,assessment of these factors is crucial for postoperative rehabilitation.AIM To investigate the correlation between chronic pain,disability,and psychological factors(depression and anxiety)after acute orthopedic trauma surgery.METHODS Data from 120 patients,who underwent surgery for acute orthopedic trauma at Xi’an Traditional Chinese Medicine Hospital(Shaanxi Province,China)between June 2022 and June 2024,were retrospectively analyzed.Basic information and postoperative pain metrics[visual analog scale(VAS)],disability rating index(DRI),Hamilton anxiety rating scale(HAMA)and Hamilton depression rating scale(HAMD)were collected from electronic medical records.Pearson’s correlation analysis was used to examine associations between chronic pain VAS,DRI,HAMD,and HAMA scores.RESULTS Among the 120 patients[79(65.8%)males and 41(34.2%)females],postoperative VAS scores were significantly associated with HAMD and HAMA scores,with correlation coefficients of 0.625(P=0.027)and 0.568(P<0.001),respectively.Postoperative DRI scores were also significantly associated with HAMD and HAMA scores,with correlation coefficients of 0.683 and 0.557,respectively(both P<0.001).CONCLUSION Chronic pain and disability after surgery for acute orthopedic trauma are significantly correlated with psychological factors(depression and anxiety).Multidisciplinary teams should integrate mental health services to improve patient outcomes.展开更多
BACKGROUND Insomnia is a common sleep disorder that negatively impacts quality of life and is frequently comorbid with depression and anxiety.Chronic insomnia affects approximately 15%of the global population,with hig...BACKGROUND Insomnia is a common sleep disorder that negatively impacts quality of life and is frequently comorbid with depression and anxiety.Chronic insomnia affects approximately 15%of the global population,with higher prevalence among females and the elderly.While existing research suggests a bidirectional relationship between insomnia and emotional disorders,the specific impact of insomnia severity on depression,anxiety,and quality of life remains unclear.This study investigates the correlation between insomnia severity and these factors in psychiatric outpatients,hypothesizing that greater insomnia severity is associated with higher levels of depression and anxiety,as well as poorer quality of life.AIM To explore the correlation between insomnia severity and depression,anxiety,and quality of life in primary chronic insomnia patients.METHODS From June to December 2023,345 patients with primary insomnia in Chifeng city were recruited and divided into three groups based on Pittsburgh sleep quality index(PSQI)scores:Mild(n=137),moderate(n=162),and severe(n=46).Demographic data were collected via questionnaires.Self-rating depression scale(SDS),self-rating anxiety scale(SAS),PSQI,and short form 36(SF-36)scores were compared,and Pearson and partial correlation analyses were performed.RESULTS The greater the degree of insomnia,the greater the symptoms of depression and anxiety(P<0.001).The more severe the insomnia,the lower the SF-36 score(excluding body pain),and the difference between the three groups was statist ically significant(P<0.001).Pearson correlation analysis and partial correlation analysis depicted the SDS score and SAS score were apparently positively correlated with the severity of insomnia(P<0.001).Pearson correlation analysis and partial correlation analysis depicted the SF-36 scores were apparently positively correlated with the severity of insomnia(P<0.05).CONCLUSION Depression and anxiety are independent factors influencing insomnia severity in primary chronic insomnia patients.Higher depression/anxiety levels correlate with worse insomnia,impacting quality of life.展开更多
The fatigue of heavy-haul railway bridges is considered a key concern due to high stress levels and cyclic loading.The evaluation of fatigue reliability is required to include factor correlations.A major challenge is ...The fatigue of heavy-haul railway bridges is considered a key concern due to high stress levels and cyclic loading.The evaluation of fatigue reliability is required to include factor correlations.A major challenge is presented by the construction of the cumulative distribution function(CDF)and the description of correlations between random variables.In this study,the copula function is used to analyze the fatigue failure probability of the Shuohuang heavy-haul railway bridge.A C-vine copula(CVC)-based joint probability density function(JPDF)is derived with eight correlated parameters.To enhance efficiency in small failure probability calculations,the subset simulation and most probable point(MPP)Monte Carlo importance sampling are introduced based on the Rosenblatt transform and C-vine model.Comparisons with traditional Monte Carlo methods confirm that high accuracy and efficiency are achieved.The results show that when parameter correlations are ignored,failure probability is underestimated,increasing safety risks in bridge assessments.展开更多
Bone marrow edema syndrome (BMES), is a rare and self-limiting condition characterized by localized bone pain and transient marrow edema visible on MRI. BMES has been increasingly associated with specific cutaneous ma...Bone marrow edema syndrome (BMES), is a rare and self-limiting condition characterized by localized bone pain and transient marrow edema visible on MRI. BMES has been increasingly associated with specific cutaneous manifestations that may hold diagnostic and prognostic significance. Patients with BMES have reported localized erythema, dermal thickening, and induration overlying the affected joints, which are hypothesized to reflect microvascular compromise and inflammatory processes within the bone and adjacent soft tissues. Dermatologic signs are likely linked to regional hyperemia, venous stasis, and cytokine-mediated inflammation, paralleling the pathophysiological mechanisms underlying intraosseous edema. Elevated intraosseous pressure in BMES may disrupt local perfusion, resulting in ischemia-reperfusion injury and subsequent vascular leakage, which manifests in visible cutaneous changes. Pro-inflammatory mediators, such as interleukin-1β and vascular endothelial growth factor (VEGF), central to BMES pathogenesis, may exacerbate endothelial activation, and dermal involvement. Histopathologic studies of affected skin have revealed perivascular lymphocytic infiltration and increased dermal vascularity, further supporting the theory of a shared ischemic and inflammatory pathway between bone and skin. Although MRI remains the gold standard for BMES diagnosis, recognition of these cutaneous manifestations could expedite orthopedic referral and intervention, especially in cases where imaging is delayed or symptoms are ambiguous. Current treatment options, including bisphosphonates, prostacyclin analogs, and offloading of weight bearing, may benefit from integration with dermatologic strategies to alleviate localized cutaneous symptoms and improve patient comfort. Evaluating the molecular and vascular links between BMES and its cutaneous manifestations provides an opportunity to refine diagnostic protocols and therapeutic approaches, offering a comprehensive understanding of the systemic interplay between dermal and skeletal pathophysiology, and optimizing clinical outcomes for patients affected by BMES.展开更多
Uncertainties about natural gas source and hydrocarbon accumulation seriously restrict oil and gas exploration in the Lianggaoshan Formation(J_(2) l)in the Eastern Sichuan Basin,which has demonstrated great exploratio...Uncertainties about natural gas source and hydrocarbon accumulation seriously restrict oil and gas exploration in the Lianggaoshan Formation(J_(2) l)in the Eastern Sichuan Basin,which has demonstrated great exploration potential in recent years.This study determines the origin of natural gas and the hydrocarbon accumulation model of J_(2) l in the Eastern Sichuan Basin.A new sample pretreatment method named gas purge-microsyringe extraction was employed and confi rmed to be a practical and eff ective method for preparing condensate oil and collecting source rock extract samples.The source rocks of J_(2) l exhibited moderate to good qualities,characterized by high TOC values,dominance of type Ⅱ_(1) and Ⅱ_(2) kerogens,and high thermal maturities.Biomarker and aromatic characteristics revealed that the source rocks of J_(2) l were deposited in brackish water with weak anoxic conditions.The natural gas in J_(2) l was an organic thermogenic gas generated from the secondary cracking of crude oil,indicating that this natural gas was mainly derived from the source rocks of J_(2) l.The condensate oil-source rock correlation further confi rmed the accuracy of the gas-source correlation results.Based on burial,thermal and hydrocarbon-generating histories,two hydrocarbon charging periods(141–133 Ma and 119–112 Ma)and four hydrocarbon accumulation periods of J_(2) l were determined.Combined with structural evolution,depositional histories and reservoir conditions,a simple gas reservoir accumulation model of J_(2) l was developed,which was identifi ed as a“self-generating and self-storing”gas reservoir.展开更多
Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term stability.This stu...Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term stability.This study employs X-ray computed tomography(CT)and digital volume correlation(DVC)to investigate the microstructural evolution and hydromechanical responses of shale self-propped fracture under varying confining pressures,highlighting the critical role of shale particles in maintaining fracture conductivity.Results indicate that the fracture aperture in the self-propped sample is significantly larger than in the unpropped sample throughout the loading process,with shale particles tending to crush rather than embedded into the matrix,thus maintaining flow pathways.As confining pressure increases,contact areas between fracture surfaces and particles expand,enhancing the system's stability and compressive resistance.Geometric analyses show flow paths becoming increasingly concentrated and branched under high stress.This resulted in a significant reduction in connectivity,restricting fracture permeability and amplifying the nonlinear gas flow behavior.This study introduces a permeability-strain recovery zone and a novel sensitivity parameter m,delineating stress sensitivity boundaries for permeability and normal strain,with m-value increasing with stress,revealing four characteristic regions.These findings offer theoretical support for optimizing fracturing techniques to enhance resource extraction efficiency.展开更多
Patterns and drivers of species–genetic diversity correlations(SGDCs)have been broadly examined across taxa and ecosystems and greatly deepen our understanding of how biodiversity is maintained.However,few studies ha...Patterns and drivers of species–genetic diversity correlations(SGDCs)have been broadly examined across taxa and ecosystems and greatly deepen our understanding of how biodiversity is maintained.However,few studies have examined the role of canopy structural heterogeneity,which is a defining feature of forests,in shaping SGDCs.Here,we determine what factors contribute toα-andβ-species–genetic diversity correlations(i.e.,α-andβ-SGDCs)in a Chinese subtropical forest.For this purpose,we used neutral molecular markers to assess genetic variation in almost all adult individuals of the dominant tree species,Lithocarpus xylocarpus,across plots in the Ailaoshan National Natural Reserve.We also quantified microhabitat variation by quantifying canopy structure heterogeneity with airborne laser scanning on 201-ha subtropical forest plots.We found that speciesα-diversity was negatively correlated with geneticα-diversity.Canopy structural heterogeneity was positively correlated with speciesα-diversity but negatively correlated with geneticα-diversity.These contrasting effects contributed to the formation of a negativeα-SGDC.Further,we found that canopy structural heterogeneity increases speciesα-diversity and decreases geneticα-diversity by reducing the population size of target species.Speciesβ-diversity,in contrast,was positively correlated with geneticβ-diversity.Differences in canopy structural heterogeneity between plots had non-linear parallel effects on the two levels ofβ-diversity,while geographic distance had a relatively weak effect onβ-SGDC.Our study indicates that canopy structural heterogeneity simultaneously affects plot-level community species diversity and population genetic diversity,and species and genetic turnover across plots,thus drivingα-andβ-SGDCs.展开更多
A combination of hard(SiCP)and soft(fly ash)particulate reinforcements could be a strategy to enhance combination of multiple properties of Magnesium and its alloys which otherwise suffer from low stiffness,low wear r...A combination of hard(SiCP)and soft(fly ash)particulate reinforcements could be a strategy to enhance combination of multiple properties of Magnesium and its alloys which otherwise suffer from low stiffness,low wear resistance,and many other critical properties.However,at present a comprehensive and robust map correlating different properties in particle-reinforced composites is much lacking.In this work,an industrial grade AZ91 magnesium alloy reinforced with hard SiC and soft fly ash particles(with 3 vol.%each),has been prepared using stir casting followed by hot extrusion at 325℃with a ratio of 21.5.Microstructure of the hybrid composite was characterized using optical and scanning electron microscopes.The composite exhibited a reduction in average grain size from 13.6 to 7.1μm,concomitantly an increase in Vickers hardness from 73 to 111 HV.The tension-compression yield asymmetry ratios of the unreinforced alloy and hybrid composite were 1.165 and 0.976,respectively indicating higher yield strength for the composite under compressive load.The composite exhibited 76%improvement in damping capacity under time sweep mode,and 28%improvement at 423 K under temperature sweep mode.The tribological characteristics of the composite under dry sliding conditions at sliding speeds and loads in the range of 0.5 to 1.5 m s^(-1)and 10 to 30 N,respectively showed higher wear resistance than the unreinforced alloy.The composite showed 23%improvement in sliding wear resistance at a load of 20 N and a speed of 1 m s^(-1).Finally,efforts have been made to understand the influence of one property on the other by developing statistical property correlation maps from the properties obtained in this study and from the literature.These maps are expected to help in the design of hybrid Metal Matrix Composites for a variety of targeted applications in different sectors.展开更多
In the context of urbanization,air pollution has emerged as a significant environmental challenge.A thorough understanding of their transport pathways,especially at a national scale,is essential for environmental prot...In the context of urbanization,air pollution has emerged as a significant environmental challenge.A thorough understanding of their transport pathways,especially at a national scale,is essential for environmental protection and policy-making.However,it remains partially elusive due to the constraints of available data and analytical methods.This study proposed a data-driven spatiotemporal correlation analysis method employing the Dynamic Time Warping(DTW).We represented the first comprehensive attempt to chart the long-term and nationwide transport pathways of PM_(2.5) utilizing an extensive dataset spanning from 2000 to 2021 across China,which is crucial for understanding long-term air pollution trends.Compared with traditional chemical transport models(CTMs),this data-driven method can generate transport pathways of PM_(2.5) without requiring extensive meteorological or emission data,and suggesting fundamentally consistent spatial distribution and trends.Our analysis reveals that China’s transport pathways are notably pronounced in the Northwest(34%of the total pathways in China),Southwest(22%),and North(21%)regions,with less significant pathways in the Northeast(10%)region and isolated occurrences elsewhere.Additionally,a notable decrease in the number of China’s PM_(2.5) transport pathways,similar to annual average concentrations,was observed after 2013,aligning with stricter environmental regulations.Furthermore,we have demonstrated the feasibility of applying our method to the transport pathways of other gaseous pollutants.The approach is effective in detecting and quantifying air pollutants’transport pathways,even in regions like the Northwest with limited monitoring infrastructure,which may aid in environmental decision-making.The study will notably improve the current understanding of air pollutants’transport process,providing a new perspective for studying the large-scale spatiotemporal correlations.展开更多
Accurate forecasting of blast furnace gas(BFG)production is an essential prerequisite for reasonable energy scheduling and management to reduce carbon emissions.Coupling forecasting between BFG generation and consumpt...Accurate forecasting of blast furnace gas(BFG)production is an essential prerequisite for reasonable energy scheduling and management to reduce carbon emissions.Coupling forecasting between BFG generation and consumption dynamics was taken as the research object.A multi-task learning(MTL)method for BFG forecasting was proposed,which integrated a coupling correlation coefficient(CCC)and an inverted transformer structure.The CCC method could enhance key information extraction by establishing relationships between multiple prediction targets and relevant factors,while MTL effectively captured the inherent correlations between BFG generation and consumption.Finally,a real-world case study was conducted to compare the proposed model with four benchmark models.Results indicated significant reductions in average mean absolute percentage error by 33.37%,achieving 1.92%,with a computational time of 76 s.The sensitivity analysis of hyperparameters such as learning rate,batch size,and units of the long short-term memory layer highlights the importance of hyperparameter tuning.展开更多
In multiple experiments plates of melanoma cells separated by either 3 m or 1.7 km were placed in the centers of toroids. A specific protocol of changing, angular velocity, pulsed magnetic fields that has been shown t...In multiple experiments plates of melanoma cells separated by either 3 m or 1.7 km were placed in the centers of toroids. A specific protocol of changing, angular velocity, pulsed magnetic fields that has been shown to produce excess correlation in photon durations and shift in proton concentrations (pH) in spring water were generated around both plates of cells. Serial injections of 50 μL of standard concentrations of hydrogen peroxide into the “local” plates of cells during the 12 min of field activation produced conspicuous cell death (reduction of viable cells by about 50%) with comparable diminishments of cell numbers in the non-local plates of cells within 24 hr but only if both loci separated by either 3 m or 1.7 km had shared the “excess correlation” magnetic field sequence. The non-local effect did not occur if the magnetic fields had not been present. Higher or lower concentrations of peroxide or concentrations that eliminated all of the cells or very few cells in the local dishes were associated with no significant diminishment of non-local cell growth. The data indicate that there must be a critical number of cells remaining viable following the local chemical reaction for the excess correlation to be manifested in the non-local cells. We suggest that this specific spatial-temporal pattern of fields generated within the paired toroidal geometries promotes transposition of virtual chemical reactions as an information field. Calculations of the energy available per cell and per volume of the quantity of reactants injected into the local space from the intensity of the changing velocity toroidal magnetic field support previous measurements and derivations that the units of information transposition may involve discrete quantities that represent equivalents of photons, electrons and protons.展开更多
文摘Quanto options allow the buyer to exchange the foreign currency payoff into the domestic currency at a fixed exchange rate. We investigate quanto options with multiple underlying assets valued in different foreign currencies each with a different strike price in the payoff function. We carry out a comparative performance analysis of different stochastic volatility (SV), stochastic correlation (SC), and stochastic exchange rate (SER) models to determine the best combination of these models for Monte Carlo (MC) simulation pricing. In addition, we test the performance of all model variants with constant correlation as a benchmark. We find that a combination of GARCH-Jump SV, Weibull SC, and Ornstein Uhlenbeck (OU) SER performs best. In addition, we analyze different discretization schemes and their results. In our simulations, the Milstein scheme yields the best balance between execution times and lower standard deviations of price estimates. Furthermore, we find that incorporating mean reversion into stochastic correlation and stochastic FX rate modeling is beneficial for MC simulation pricing. We improve the accuracy of our simulations by implementing antithetic variates variance reduction. Finally, we derive the correlation risk parameters Cora and Gora in our framework so that correlation hedging of quanto options can be performed.
基金supported by the National Key R&D Program of China under Grant No.2021YFA1400500the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No.XDB33000000+1 种基金the National Natural Science Foundation of China under Grant No.12334003the Beijing Municipal Natural Science Foundation under Grant Nos.JQ22001 and QY23014。
文摘Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder.In this work,we develop SPRamNet,a neural network based machine-learning pipeline that effectively predicts structure-property relationship of amorphous material via global descriptors.Applying SPRamNet on the recently discovered amorphous monolayer carbon,we successfully predict the thermal and electronic properties.More importantly,we reveal that a short range of pair correlation function can readily encode sufficiently rich information of the structure of amorphous material.Utilizing powerful machine learning architectures,the encoded information can be decoded to reconstruct macroscopic properties involving many-body and long-range interactions.Establishing this hidden relationship offers a unified description of the degree of disorder and eliminates the heavy burden of measuring atomic structure,opening a new avenue in studying amorphous materials.
基金support by the National Natural Science Foundation of China(Grant Nos.U23A20546 and 52271010)the Chinese National Natural Science Fund for Distinguished Young Scholars(Grant No.52025015)the Natural Science Foundation of Tianjin City(No.21JCZDJC00510).
文摘1.Introduction The strength-ductility trade-offdilemma has long been a per-sistent challenge in Al matrix composites(AMCs)[1,2].This is-sue primarily arises from the agglomeration of reinforcements at the grain boundaries(GBs),which restricts local plastic flow dur-ing the plastic deformation and leads to stress concentration[3,4].Recently,the development of concepts aimed at achieving hetero-geneous grain has emerged as a promising approach for enhanc-ing comprehensive mechanical properties[5,6].
文摘As pointed out in the paper preceding this one, in the case of functionals whose independent variable must obey conditions of integral normalization, conventional functional differentiation, defined in terms of an arbitrary test function, is generally inapplicable and functional derivatives with respect to the density must be evaluated through the alternative and widely used limiting procedure based on the Dirac delta function. This leads to the determination of the rate of change of the dependent variable with respect to its independent variable at each isolated pair, , that may not be part of a functional (a set of ordered pairs). This extends the concept of functional derivative to expectation values of operators with respect to wave functions leading to a density even if the wave functions (and expectation values) do not form functionals. This new formulation of functional differentiation forms the basis for the study of the mathematical integrity of a number of concepts in density functional theory (DFT) such as the existence of a universal functional of the density, of orbital-free density functional theory, the derivative discontinuity of the exchange and correlation functional and the extension of DFT to open systems characterized by densities with fractional normalization. It is shown that no universal functional exists but, rather, a universal process based only on the density and independent of the possible existence of a potential, leads to unique functionals of the density determined through the minimization procedure of the constrained search. The mathematical integrity of two methodologies proposed for the treatment of the Coulomb interaction, the self-interaction free method and the optimized effective potential method is examined and the methodologies are compared in terms of numerical calculations. As emerges from this analysis, the optimized effective potential method is found to be numerically approximate but formally invalid, contrary to the rigorously exact results of the self-interaction-free method.
基金supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Korea Government(MOTIE)(Grant No.20214000000500,Training program of CCUS for the green growth)by the National Research Foundation of Korea(NRF)grant funded by the Korea Government(MSIT)(Grant No.2022R1F1A1076409)the support from the Chinese Scholarship Council for awarding a scholarship(CSC No.202106820011).
文摘The study of rock failure mechanisms is fundamental to geotechnical engineering,as it enhances design quality and mitigates disaster risks.This research employed in situ compression tests on 3D-printed rocklike samples with a single flaw,combining Micro-CT scans and a specialized loading device to analyze their behavior.Mechanical properties and failure modes of these printed samples were compared to those of natural flawed sandstones,demonstrating the capability of 3D printing to replicate natural rock characteristics.By reconstructing 3D crack evolution from 2D CT images and applying digital volume correlation(DVC),the study visualized internal strain fields and established a relationship between strain patterns and rock failure.The results reveal that crack initiation consistently occurs at the flaw,advancing into tensile and secondary shear or mixed cracks.For flaw angles(α)ranging from 0°to 45°,the 3D-printed samples exhibited a higher number of newly formed cracks and a faster increase in crack volume with strain.In contrast,for flaw angles of 45°≤α≤90°,the opposite trend was observed.The internal strain field exhibited significant strain localization,with this uneven distribution playing a critical role in sample failure.When the flaw angle was in the range of 0°≤α≤30°,failure was primarily driven by tensile cracks,forming distinct tensile bands.Conversely,for 30°<α≤90°,a combination of tensile and shear cracks dominated the failure,producing both shear and tensile bands in the sample.Additionally,the strain field component ε_(yy) showed a strong correlation with the evolution of internal damage,providing valuable insights into the underlying rock failure mechanisms.
文摘It is shown that such phenomena as quantum correlations (interaction of space-separated quantum entities), the action of magnetic vector potential on quantum entities in the absence of magnetic field, and near-field antenna effect (the existence of superluminally propagating electromagnetic fields) may be explained by action of spin supercurrents. In case of quantum correlations between quantum entities, spin supercurrent emerges between virtual particles pairs (virtual photons) created by those quantum entities. The explanation of magnetic vector potential and near-field antenna effect is based on contemporary principle of quantum mechanics: the physical vacuum is not an empty space but the ground state of the field consisting of quantum harmonic oscillators (QHOs) characterized by zero-point energy. Using the properties of the oscillators and spin supercurrent, it is proved that magnetic vector potential is proportional to the moment causing the orientation of spin of QHO along the direction of magnetic field. The near-field antenna effect is supposed to take place as a result of action of spin supercurrent causing secondary electromagnetic oscillations. In this way, the electromagnetic field may spread at the speed of spin supercurrent. As spin supercurrent is an inertia free process, its speed may be greater than that of light, which does not contradict postulates of special relativity that sets limits to the speed of inertial systems only.
基金the Science and Engineering Re-search Board(SERB),India for providing the financial assistance to support this work(Project No.SRG/2020/002449).
文摘Since antiquity,humans have been involved in designing materials through alloying strategies to meet the ever-growing technological demands.In 2004,this endeavor witnessed a significant breakthrough with the discovery of high-entropy alloys(HEAs)comprising multi-principal elements.Owing to the four“core-effects”,these alloys exhibit exceptional properties including better structural stability,high strength and ductility,improved fatigue/fracture toughness,high corrosion and oxidation resistance,superconductiv-ity,magnetic properties,and good thermal properties.Different synthesis routes have been designed and used to meet the properties of interest for particular applications with varying dimensions.How-ever,HEAs are providing new opportunities and challenges for computational modelling of the complex structure-property correlations and in predictions of phase stability necessary for optimum performance of the alloy.Several attempts have been made to understand these alloys by empirical and computa-tional models,and data-driven approaches to accelerate the materials discovery with a desired set of properties.The present review discusses advances and inferences from simulations and models spanning multiple length and time scales explaining a comprehensive set of structure-properties relations.Addi-tionally,the role of machine learning approaches is also reviewed,underscoring the transformative role of computational modelling in unravelling the multifaceted properties and applications of HEAs,and the scope for future efforts in this direction.
基金Supported by Innovative Practice Platform for Undergraduate Students,School of Public Health Xiamen University,No.2021001.
文摘BACKGROUND Previous cellular studies have demonstrated that elevated expression of Cx43 promotes the degradation of cyclin E1 and inhibits cell proliferation through ubiquitination.Conversely,reduced expression results in a loss of this capacity to facilitate cyclin E degradation.The ubiquitination and degradation of cyclin E1 may be associated with phosphorylation at specific sites on the protein,with Cx43 potentially enhancing this process by facilitating the phosphorylation of these critical residues.AIM To investigate the correlation between expression of Cx43,SKP1/Cullin1/F-box(SCF)FBXW7,p-cyclin E1(ser73,thr77,thr395)and clinicopathological indexes in colon cancer.METHODS Expression levels of Cx43,SCF^(FBXW7),p-cyclin E1(ser73,thr77,thr395)in 38 clinical colon cancer samples were detected by immunohistochemistry and were analyzed by statistical methods to discuss their correlations.RESULTS Positive rate of Cx43,SCF^(FBXW7),p-cyclin E1(Ser73),p-cyclin E1(Thr77)and p-cyclin E1(Thr395)in detected samples were 76.32%,76.32%,65.79%,5.26%and 55.26%respectively.Positive expressions of these proteins were not related to the tissue type,degree of tissue differentiation or lymph node metastasis.Cx43 and SCF^(FBXW7)(r=0.749),p-cyclin E1(Ser73)(r=0.667)and p-cyclin E1(Thr395)(r=0.457),SCF^(FBXW7) and p-cyclin E1(Ser73)(r=0.703)and p-cyclin E1(Thr395)(0.415)were correlated in colon cancer(P<0.05),and expressions of the above proteins were positively correlated in colon cancer.CONCLUSION Cx43 may facilitate the phosphorylation of cyclin E1 at the Ser73 and Thr195 sites through its interaction with SCF^(FBXW7),thereby influencing the ubiquitination and degradation of cyclin E1.
基金National Natural Science Foundation of China(Project No.:12201579)。
文摘Portfolio selection based on the global minimum variance(GMV)model remains a significant focus in financial research.The covariance matrix,central to the GMV model,determines portfolio weights,and its accurate estimation is key to effective strategies.Based on the decomposition form of the covariance matrix.This paper introduces semi-variance for improved financial asymmetric risk measurement;addresses asymmetry in financial asset correlations using distance,asymmetric,and Chatterjee correlations to refine covariance matrices;and proposes three new covariance matrix models to enhance risk assessment and portfolio selection strategies.Testing with data from 30 stocks across various sectors of the Chinese market confirms the strong performance of the proposed strategies.
文摘BACKGROUND The occurrence of chronic pain and disability after acute orthopedic trauma is significantly correlated with psychological factors,particularly depression and anxiety.As such,assessment of these factors is crucial for postoperative rehabilitation.AIM To investigate the correlation between chronic pain,disability,and psychological factors(depression and anxiety)after acute orthopedic trauma surgery.METHODS Data from 120 patients,who underwent surgery for acute orthopedic trauma at Xi’an Traditional Chinese Medicine Hospital(Shaanxi Province,China)between June 2022 and June 2024,were retrospectively analyzed.Basic information and postoperative pain metrics[visual analog scale(VAS)],disability rating index(DRI),Hamilton anxiety rating scale(HAMA)and Hamilton depression rating scale(HAMD)were collected from electronic medical records.Pearson’s correlation analysis was used to examine associations between chronic pain VAS,DRI,HAMD,and HAMA scores.RESULTS Among the 120 patients[79(65.8%)males and 41(34.2%)females],postoperative VAS scores were significantly associated with HAMD and HAMA scores,with correlation coefficients of 0.625(P=0.027)and 0.568(P<0.001),respectively.Postoperative DRI scores were also significantly associated with HAMD and HAMA scores,with correlation coefficients of 0.683 and 0.557,respectively(both P<0.001).CONCLUSION Chronic pain and disability after surgery for acute orthopedic trauma are significantly correlated with psychological factors(depression and anxiety).Multidisciplinary teams should integrate mental health services to improve patient outcomes.
文摘BACKGROUND Insomnia is a common sleep disorder that negatively impacts quality of life and is frequently comorbid with depression and anxiety.Chronic insomnia affects approximately 15%of the global population,with higher prevalence among females and the elderly.While existing research suggests a bidirectional relationship between insomnia and emotional disorders,the specific impact of insomnia severity on depression,anxiety,and quality of life remains unclear.This study investigates the correlation between insomnia severity and these factors in psychiatric outpatients,hypothesizing that greater insomnia severity is associated with higher levels of depression and anxiety,as well as poorer quality of life.AIM To explore the correlation between insomnia severity and depression,anxiety,and quality of life in primary chronic insomnia patients.METHODS From June to December 2023,345 patients with primary insomnia in Chifeng city were recruited and divided into three groups based on Pittsburgh sleep quality index(PSQI)scores:Mild(n=137),moderate(n=162),and severe(n=46).Demographic data were collected via questionnaires.Self-rating depression scale(SDS),self-rating anxiety scale(SAS),PSQI,and short form 36(SF-36)scores were compared,and Pearson and partial correlation analyses were performed.RESULTS The greater the degree of insomnia,the greater the symptoms of depression and anxiety(P<0.001).The more severe the insomnia,the lower the SF-36 score(excluding body pain),and the difference between the three groups was statist ically significant(P<0.001).Pearson correlation analysis and partial correlation analysis depicted the SDS score and SAS score were apparently positively correlated with the severity of insomnia(P<0.001).Pearson correlation analysis and partial correlation analysis depicted the SF-36 scores were apparently positively correlated with the severity of insomnia(P<0.05).CONCLUSION Depression and anxiety are independent factors influencing insomnia severity in primary chronic insomnia patients.Higher depression/anxiety levels correlate with worse insomnia,impacting quality of life.
基金Project supported by the National Natural Science Foundation of China(No.52278180)。
文摘The fatigue of heavy-haul railway bridges is considered a key concern due to high stress levels and cyclic loading.The evaluation of fatigue reliability is required to include factor correlations.A major challenge is presented by the construction of the cumulative distribution function(CDF)and the description of correlations between random variables.In this study,the copula function is used to analyze the fatigue failure probability of the Shuohuang heavy-haul railway bridge.A C-vine copula(CVC)-based joint probability density function(JPDF)is derived with eight correlated parameters.To enhance efficiency in small failure probability calculations,the subset simulation and most probable point(MPP)Monte Carlo importance sampling are introduced based on the Rosenblatt transform and C-vine model.Comparisons with traditional Monte Carlo methods confirm that high accuracy and efficiency are achieved.The results show that when parameter correlations are ignored,failure probability is underestimated,increasing safety risks in bridge assessments.
文摘Bone marrow edema syndrome (BMES), is a rare and self-limiting condition characterized by localized bone pain and transient marrow edema visible on MRI. BMES has been increasingly associated with specific cutaneous manifestations that may hold diagnostic and prognostic significance. Patients with BMES have reported localized erythema, dermal thickening, and induration overlying the affected joints, which are hypothesized to reflect microvascular compromise and inflammatory processes within the bone and adjacent soft tissues. Dermatologic signs are likely linked to regional hyperemia, venous stasis, and cytokine-mediated inflammation, paralleling the pathophysiological mechanisms underlying intraosseous edema. Elevated intraosseous pressure in BMES may disrupt local perfusion, resulting in ischemia-reperfusion injury and subsequent vascular leakage, which manifests in visible cutaneous changes. Pro-inflammatory mediators, such as interleukin-1β and vascular endothelial growth factor (VEGF), central to BMES pathogenesis, may exacerbate endothelial activation, and dermal involvement. Histopathologic studies of affected skin have revealed perivascular lymphocytic infiltration and increased dermal vascularity, further supporting the theory of a shared ischemic and inflammatory pathway between bone and skin. Although MRI remains the gold standard for BMES diagnosis, recognition of these cutaneous manifestations could expedite orthopedic referral and intervention, especially in cases where imaging is delayed or symptoms are ambiguous. Current treatment options, including bisphosphonates, prostacyclin analogs, and offloading of weight bearing, may benefit from integration with dermatologic strategies to alleviate localized cutaneous symptoms and improve patient comfort. Evaluating the molecular and vascular links between BMES and its cutaneous manifestations provides an opportunity to refine diagnostic protocols and therapeutic approaches, offering a comprehensive understanding of the systemic interplay between dermal and skeletal pathophysiology, and optimizing clinical outcomes for patients affected by BMES.
基金supported by the grants from the National Natural Science Foundation of China(grant nos.41902153,42072140,42102133 and 42202170)Natural Science Foundation Project of Chongqing(grant nos.cstc2021jcyj-msxmX0455,CSTB2022NSCQ-JQX0031 and CSTB2022NSCQ-MSX1586)Science and Technology Research Program of Chongqing Municipal Education Commission(grant nos.KJQN202101544,KJZD-M202101502).
文摘Uncertainties about natural gas source and hydrocarbon accumulation seriously restrict oil and gas exploration in the Lianggaoshan Formation(J_(2) l)in the Eastern Sichuan Basin,which has demonstrated great exploration potential in recent years.This study determines the origin of natural gas and the hydrocarbon accumulation model of J_(2) l in the Eastern Sichuan Basin.A new sample pretreatment method named gas purge-microsyringe extraction was employed and confi rmed to be a practical and eff ective method for preparing condensate oil and collecting source rock extract samples.The source rocks of J_(2) l exhibited moderate to good qualities,characterized by high TOC values,dominance of type Ⅱ_(1) and Ⅱ_(2) kerogens,and high thermal maturities.Biomarker and aromatic characteristics revealed that the source rocks of J_(2) l were deposited in brackish water with weak anoxic conditions.The natural gas in J_(2) l was an organic thermogenic gas generated from the secondary cracking of crude oil,indicating that this natural gas was mainly derived from the source rocks of J_(2) l.The condensate oil-source rock correlation further confi rmed the accuracy of the gas-source correlation results.Based on burial,thermal and hydrocarbon-generating histories,two hydrocarbon charging periods(141–133 Ma and 119–112 Ma)and four hydrocarbon accumulation periods of J_(2) l were determined.Combined with structural evolution,depositional histories and reservoir conditions,a simple gas reservoir accumulation model of J_(2) l was developed,which was identifi ed as a“self-generating and self-storing”gas reservoir.
基金financially supported by the National Key Research and Development Program of China (No.2020YFA0711800)the National Science Fund for Distinguished Young Scholars (No.51925404)+2 种基金the Graduate Innovation Program of China University of Mining and Technology (No.2023WLKXJ149)the Fundamental Research Funds for the Central Universities (No.2023XSCX040)the Postgraduate Research Practice Innovation Program of Jiangsu Province (No.KYCX23_2864)。
文摘Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term stability.This study employs X-ray computed tomography(CT)and digital volume correlation(DVC)to investigate the microstructural evolution and hydromechanical responses of shale self-propped fracture under varying confining pressures,highlighting the critical role of shale particles in maintaining fracture conductivity.Results indicate that the fracture aperture in the self-propped sample is significantly larger than in the unpropped sample throughout the loading process,with shale particles tending to crush rather than embedded into the matrix,thus maintaining flow pathways.As confining pressure increases,contact areas between fracture surfaces and particles expand,enhancing the system's stability and compressive resistance.Geometric analyses show flow paths becoming increasingly concentrated and branched under high stress.This resulted in a significant reduction in connectivity,restricting fracture permeability and amplifying the nonlinear gas flow behavior.This study introduces a permeability-strain recovery zone and a novel sensitivity parameter m,delineating stress sensitivity boundaries for permeability and normal strain,with m-value increasing with stress,revealing four characteristic regions.These findings offer theoretical support for optimizing fracturing techniques to enhance resource extraction efficiency.
基金funded by the Strategic Priority Research Program of Chinese Academy of Sciences (XDB31000000)the Joint Fund of the National Natural Science Foundation of China-Yunnan Province (U1902203)+1 种基金Major Program for Basic Research Project of Yunnan Province (202101BC070002)Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences (151C53KYSB20200019)
文摘Patterns and drivers of species–genetic diversity correlations(SGDCs)have been broadly examined across taxa and ecosystems and greatly deepen our understanding of how biodiversity is maintained.However,few studies have examined the role of canopy structural heterogeneity,which is a defining feature of forests,in shaping SGDCs.Here,we determine what factors contribute toα-andβ-species–genetic diversity correlations(i.e.,α-andβ-SGDCs)in a Chinese subtropical forest.For this purpose,we used neutral molecular markers to assess genetic variation in almost all adult individuals of the dominant tree species,Lithocarpus xylocarpus,across plots in the Ailaoshan National Natural Reserve.We also quantified microhabitat variation by quantifying canopy structure heterogeneity with airborne laser scanning on 201-ha subtropical forest plots.We found that speciesα-diversity was negatively correlated with geneticα-diversity.Canopy structural heterogeneity was positively correlated with speciesα-diversity but negatively correlated with geneticα-diversity.These contrasting effects contributed to the formation of a negativeα-SGDC.Further,we found that canopy structural heterogeneity increases speciesα-diversity and decreases geneticα-diversity by reducing the population size of target species.Speciesβ-diversity,in contrast,was positively correlated with geneticβ-diversity.Differences in canopy structural heterogeneity between plots had non-linear parallel effects on the two levels ofβ-diversity,while geographic distance had a relatively weak effect onβ-SGDC.Our study indicates that canopy structural heterogeneity simultaneously affects plot-level community species diversity and population genetic diversity,and species and genetic turnover across plots,thus drivingα-andβ-SGDCs.
文摘A combination of hard(SiCP)and soft(fly ash)particulate reinforcements could be a strategy to enhance combination of multiple properties of Magnesium and its alloys which otherwise suffer from low stiffness,low wear resistance,and many other critical properties.However,at present a comprehensive and robust map correlating different properties in particle-reinforced composites is much lacking.In this work,an industrial grade AZ91 magnesium alloy reinforced with hard SiC and soft fly ash particles(with 3 vol.%each),has been prepared using stir casting followed by hot extrusion at 325℃with a ratio of 21.5.Microstructure of the hybrid composite was characterized using optical and scanning electron microscopes.The composite exhibited a reduction in average grain size from 13.6 to 7.1μm,concomitantly an increase in Vickers hardness from 73 to 111 HV.The tension-compression yield asymmetry ratios of the unreinforced alloy and hybrid composite were 1.165 and 0.976,respectively indicating higher yield strength for the composite under compressive load.The composite exhibited 76%improvement in damping capacity under time sweep mode,and 28%improvement at 423 K under temperature sweep mode.The tribological characteristics of the composite under dry sliding conditions at sliding speeds and loads in the range of 0.5 to 1.5 m s^(-1)and 10 to 30 N,respectively showed higher wear resistance than the unreinforced alloy.The composite showed 23%improvement in sliding wear resistance at a load of 20 N and a speed of 1 m s^(-1).Finally,efforts have been made to understand the influence of one property on the other by developing statistical property correlation maps from the properties obtained in this study and from the literature.These maps are expected to help in the design of hybrid Metal Matrix Composites for a variety of targeted applications in different sectors.
基金funded by the National Natural Science Foundation of China(grant No.42376246)the Key Research and Development Project of Guangxi(grant No.GuikeAB24010046)the Joint Funds of the National Natural Science Foundation of China(grant No.U2268217).
文摘In the context of urbanization,air pollution has emerged as a significant environmental challenge.A thorough understanding of their transport pathways,especially at a national scale,is essential for environmental protection and policy-making.However,it remains partially elusive due to the constraints of available data and analytical methods.This study proposed a data-driven spatiotemporal correlation analysis method employing the Dynamic Time Warping(DTW).We represented the first comprehensive attempt to chart the long-term and nationwide transport pathways of PM_(2.5) utilizing an extensive dataset spanning from 2000 to 2021 across China,which is crucial for understanding long-term air pollution trends.Compared with traditional chemical transport models(CTMs),this data-driven method can generate transport pathways of PM_(2.5) without requiring extensive meteorological or emission data,and suggesting fundamentally consistent spatial distribution and trends.Our analysis reveals that China’s transport pathways are notably pronounced in the Northwest(34%of the total pathways in China),Southwest(22%),and North(21%)regions,with less significant pathways in the Northeast(10%)region and isolated occurrences elsewhere.Additionally,a notable decrease in the number of China’s PM_(2.5) transport pathways,similar to annual average concentrations,was observed after 2013,aligning with stricter environmental regulations.Furthermore,we have demonstrated the feasibility of applying our method to the transport pathways of other gaseous pollutants.The approach is effective in detecting and quantifying air pollutants’transport pathways,even in regions like the Northwest with limited monitoring infrastructure,which may aid in environmental decision-making.The study will notably improve the current understanding of air pollutants’transport process,providing a new perspective for studying the large-scale spatiotemporal correlations.
基金supported by the National Natural Science Foundation of China(No.52474435)China Baowu Low Carbon Metallurgy Innovation Foundation(BWLCF202307).
文摘Accurate forecasting of blast furnace gas(BFG)production is an essential prerequisite for reasonable energy scheduling and management to reduce carbon emissions.Coupling forecasting between BFG generation and consumption dynamics was taken as the research object.A multi-task learning(MTL)method for BFG forecasting was proposed,which integrated a coupling correlation coefficient(CCC)and an inverted transformer structure.The CCC method could enhance key information extraction by establishing relationships between multiple prediction targets and relevant factors,while MTL effectively captured the inherent correlations between BFG generation and consumption.Finally,a real-world case study was conducted to compare the proposed model with four benchmark models.Results indicated significant reductions in average mean absolute percentage error by 33.37%,achieving 1.92%,with a computational time of 76 s.The sensitivity analysis of hyperparameters such as learning rate,batch size,and units of the long short-term memory layer highlights the importance of hyperparameter tuning.
文摘In multiple experiments plates of melanoma cells separated by either 3 m or 1.7 km were placed in the centers of toroids. A specific protocol of changing, angular velocity, pulsed magnetic fields that has been shown to produce excess correlation in photon durations and shift in proton concentrations (pH) in spring water were generated around both plates of cells. Serial injections of 50 μL of standard concentrations of hydrogen peroxide into the “local” plates of cells during the 12 min of field activation produced conspicuous cell death (reduction of viable cells by about 50%) with comparable diminishments of cell numbers in the non-local plates of cells within 24 hr but only if both loci separated by either 3 m or 1.7 km had shared the “excess correlation” magnetic field sequence. The non-local effect did not occur if the magnetic fields had not been present. Higher or lower concentrations of peroxide or concentrations that eliminated all of the cells or very few cells in the local dishes were associated with no significant diminishment of non-local cell growth. The data indicate that there must be a critical number of cells remaining viable following the local chemical reaction for the excess correlation to be manifested in the non-local cells. We suggest that this specific spatial-temporal pattern of fields generated within the paired toroidal geometries promotes transposition of virtual chemical reactions as an information field. Calculations of the energy available per cell and per volume of the quantity of reactants injected into the local space from the intensity of the changing velocity toroidal magnetic field support previous measurements and derivations that the units of information transposition may involve discrete quantities that represent equivalents of photons, electrons and protons.
