Self-consistent treatment of the quark condensate and hadrons in nuclear matter

We calculate the contribution of pions to the $\bar qq$-expectation value κ(ρ) =<M|ˉq q|M> in symmetric nuclear matter. We employ exact pion propagator renormalized by nucleon-hole and isobar-hole excitations. Conventional straightforward calculation leads to the “pion condensation” at unrealistically small values of densities, causing even earlier restoration of chiral symmetry. This requires a self-consistent approach, consisting in using the models, which include direct dependence of in-medium mass values on κ(ρ), e.g. the Nambu–Jona-Lasinio–model. We show, that in the self-consistent approach the ρ-dependence of the condensate is described by a smooth curve. The “pion condensate” point is removed to much higher values of density. The chiral restoration does not take place at least while ρ < 2.8ρ₀ with ρ₀ being the saturation value. Validity of our approach is limited by possible accumulation of heavier baryons (delta isobars) in the ground state of nuclear matter. For the value of effective nucleon mass at the saturation density we found m ^*(ρ₀) = 0.6m, consistent with nowadays results of other authors. Received: 8 October 1998     

中国股票市场的日历效应分析

本文以上证指数和深证指数为代表 ,对中国股票市场的日历效应进行实证分析 .主要从以下三个方面加以讨论 :收益率和交易量的均值及方差的日历特征 ;收益率日历特征的相关分析 ;收益率周内各日的转移概率特性     

带有初始风险资产的风险投资决策模型

讨论了一类在投资时期初允许带有一部分初始风险资产的风险投资组合决策问题,给出了一个满足总体风险约束下以净收益最大化作为决策目标的资产投资组合的数学规划模型。并由该数学规划的性质,给出该类问题的一个简化的线性规划决策形式。     

具指数赋权指标的证券投资多目标线性规划模型

本文提出证券投资决策的指数赋权指标体系．在该指标体系中,建立风险证券组合投资决策和存在无风险证券或无风险贷款时证券组合投资决策的多目标线性规划模型．研究了有效风险证券组合集和有效证券组合集的结构和相互关系,市场证券组合以及证券均衡市场价格和投资风险分析．     

砂土的应力路径本构模型

将微元应力路径线性逼近,转变成与其充分接近且易于计算应变的等平均应力微元和等应力比微元,计算任意加荷应力路径所产生的塑性应变,建立了双屈服面的砂土应力路径本构模型．模型体现了岩土塑性理论分量屈服和非关联流动法则的要求,在p,q平面内根据双线性的屈服线确定了加卸载准则．结合广义非线性强度理论采用变换应力三维化方法简单、合理地使模型实现三维化．通过试验数据的验证表明,砂土应力路径本构模型可以合理地描述各种应力路径下砂土的变形和强度特性。     

聚氨酯泡沫富集-电感耦合等离子体原子发射光谱法(ICP-AES)测定土壤及水系沉积物中铊含量

建立了一种以聚氨酯泡沫富集-电感耦合等离子体原子发射光谱法(ICP-AES)测定土壤及水系沉积物中铊含量的分析方法,利用正交实验,确定最佳实验条件,方法的检出限为0.01mg/L,对土壤及水系沉积物标准物质的测定结果与推荐值相符,相对误差小于10%,相对标准偏差(RSD,n=10)在1.9%~4.9%。     

Stress-dependent dynamic compliance spectra approach to the nonlinear viscoelastic response of polymers

The present work reports a discrete, stress-dependent dynamic compliance spectra method which may be used to predict the mechanical response of nonlinear viscoelastic polymers during strain-defined processes. The method is based on the observation that the real and complex parts of the discrete dynamic compliance frequency components obtained from creep measurements are smooth, easily fit functions of stress. Comparisons between experimental measurements and model calculations show that the model exhibits excellent quantitative agreement with the basis creep measurements at all experimental stress levels. The model exhibits good quantitative agreement with stress relaxation measurements at moderate levels of applied strain. However, the model underestimates the experimental stress relaxation at an applied strain of 3.26%. The stress relaxation error appears to be a real material effect resulting from the different strain character of creep and stress relaxation tests. The model provides a good quantitative agreement with experimental constant strain rate measurements up to approximately 4% strain, after which the model underestimates the experimental flow stress. This effect is explained by the time dependence of the stress-activated configurational changes necessary for large strains in glassy polymers. © 1998 John Wiley & Sons, Inc. J. Polym. Sci. B Polym. Phys. 36: 2301–2309, 1998     

Engineering innovative interfaces for point-of-care diagnostics

The ongoing Coronavirus disease 2019 (COVID-19) pandemic illustrates the need for sensitive and reliable tools to diagnose and monitor diseases. Traditional diagnostic approaches rely on centralized laboratory tests that result in long wait times to results and reduce the number of tests that can be given. Point-of-care tests (POCTs) are a group of technologies that miniaturize clinical assays into portable form factors that can be run both in clinical areas —in place of traditional tests— and outside of traditional clinical settings —to enable new testing paradigms. Hallmark examples of POCTs are the pregnancy test lateral flow assay and the blood glucose meter. Other uses for POCTs include diagnostic assays for diseases like COVID-19, HIV, and malaria but despite some successes, there are still unsolved challenges for fully translating these lower cost and more versatile solutions. To overcome these challenges, researchers have exploited innovations in colloid and interface science to develop various designs of POCTs for clinical applications. Herein, we provide a review of recent advancements in lateral flow assays, other paper based POCTs, protein microarray assays, microbead flow assays, and nucleic acid amplification assays. Features that are desirable to integrate into future POCTs, including simplified sample collection, end-to-end connectivity, and machine learning, are also discussed in this review.