Alpha-Chain States in 4N-Nuclei

Alpha-chain states in 4N-nuclei are studied via an analysis of underlying quantummechanical symmetry.Experimental candidates for linear chain states in N alpha particles arepointed out.

THE CLASSIFICATION AND PERIOD OF STATES FOR MARKOV CHAIN IN RANDOM ENVIRONMENT

This paper is a continuation of [8]. In Section 1, three kinds of communication are introdnced for two states and the relations among them are investigated. In Section 2, two kinds of period of a state are introdnced and it is obtained that the period is a 'class property',i.e. two states x and y belong to same class implies the period of x is equal to the period of y.

THE DECOMPOSITION OF STATE SPACE FOR MARKOV CHAIN IN RANDOM ENVIRONMENT

This paper is a continuation of [8] and [9]. The author obtains the decomposition of state space X of an Markov chain in random environment by making use of the results in [8] and [9], gives three examples, random walk in random environment, renewal process in random environment and queue process in random environment, and obtains the decompositions of the state spaces of these three special examples.

Representation of Phase Behavior of Ionic Liquids Using the Equation of State for Square-well Chain Fluids with Variable Range

为有为化学协会基于统计力学开发的可变范围(SWCF-VR ) 的方形井的链液体的状态(曙光女神) 的一个方程为 pressure-volume-temperature (pVT ) 和纯离子的液体(IL ) 和他们的混合物的阶段平衡的计算被采用。为 23 IL 的新分子的参数被在宽温度和压力范围上适合他们的试验性的密度数据获得。 IL 的分子的参数相应器官的阳离子和一个相同阴离子例如创作了[ C x mim ][ NTf 2]好关于他们的分子的重量线性，显示相应物质的分子的参数，当没有试验性的数据是可得到的时，随后， pVT 和蒸汽液体 equilibria 蒸汽液体 equilibria ( VLE )能用概括参数被预言。参数的新集合令人满意地在仅仅使用一个温度无关的二进制相互作用参数的低压力在各种各样的 IL 为溶剂和 IL 混合和气体的溶解度的性质的计算被使用。

Modeling of Surface Tension and Viscosity for Non-electrolyte Systems by Means of the Equation of State for Square-well Chain Fluids with Variable Interaction Range

The equation of state(EOS)for square-well chain fluid with variable range(SWCF-VR) developed in our previous work based on statistical mechanical theory for chemical association is employed for the correlations of surface tension and viscosity of common fluids and ionic liquids(ILs).A model of surface tension for multi-component mixtures is presented by combining the SWCF-VR EOS and the scaled particle theory and used to produce the surface tension of binary and ternary mixtures.The predicted surface tensions are in excellent agreement with the experimental data with an overall average absolute relative deviation(AAD)of 0.36%.A method for the calculation of dynamic viscosity of common fluids and ILs at high pressure is presented by combining Eyring’s rate theory of viscosity and the SWCF-VR EOS.The calculated viscosities are in good agreement with the experimental data with the overall AAD of 1.44% for 14 fluids in 84 cases.The salient feature is that the molecular parameters used in these models are self-consistent and can be applied to calculate different thermodynamic properties such as pVT,vapor-liquid equilibrium,caloric properties,surface tension,and viscosity.

Probabilistic Chain Teleportation of a Qutrit-State

We investigate chain teleportation of a qutrit-state via the non-maximally two-qutrit entangled channels.For the case of four parties,the efficiencies of two chain teleportation protocols,the separate chain teleportation protocol(SCTP),and the global chain teleportation protocol (GCTP),are calculated.In SCTP the errors are corrected betweenevery step while in GCTP the errors are corrected only at the end.Furthermore,we present a piecewise global chainteleportation protocol (PGCTP) for keeping away from the inconvenience of error-correction of GCTP.We show thatPGCTP is more efficient than SCTP.

Study of Decoherence of Entangled States Made up of Two Basic States in a Linear Chain of Three Qubits

Using Lindblad approach to study decoherence of quantum systems, we study the decoherence and decay of entangled states, formed by two basic states of a chain of thee qubits. We look on these states for a possible regular dependence on their decay as a function of their energy separation between the basic states under different types of environments. We didn’t find regular or significant dependence on this energy separation for the type of environment considered.

Improving quantum state transfer in a general XY chain via the Dzyaloshinsky Moriya interaction

We study the state transfer of Bell states in a general XY spin chain using the Dzyaloshinsk^Moriya interaction. Two symmetries of fidelity with the anisotropy parameter axe found. The maximum fidelity is shown to be significantly enhanced in cases of an odd number of sites. Enhancement of fidelity on a singlet state is greater than that on the other Bell states in such cases.

Analysis of Sleep Window of IEEE802.16m Network Based on State Transition Chain

Energy efficiency plays vital roles in wireless communication system due to the “energy limited battery service” of a mobile station (MS). To ensure longer battery life in WiMAX, a new protocol has been introduced in its IEEE802.16m version. This new sleep mode has extended listening window and adjustable sleep cycle length. In this paper, we analyze the probability of attaining at three states: serving state, state of timer inactivity and silent state in a simplified statistical model using traffic parameters of arrival rate, pdf (probability density function) of interarrival time and its threshold value. Finally we developed a new state transition chain of the above three states of a MS of IEEE802.16m and solved the chain in closed form.

Ground-State Energy and Entropy for One-Dimensional Heisenberg Chain with Alternating D-Term

We study the ground-state information of one-dimensional Heisenberg chain with alternating D-term. Given the ground-state phase diagram, the ground-state energy and the entanglement entropy are obtained by tensor-net work algorithm. The phase transition points are shown in the entanglement entropy figure. The results are agreed with the phase diagram.

The effects of the Dzyaloshinskii-Moriya interaction on the ground-state properties of the XY chain in a transverse field

The effects of the Dzyaloshinski-Moriya （DM） interaction on the ground-state properties of the anisotropic XY chain in a transverse field have been studied by means of correlation functions and entanglement. Different from the case without the DM interaction, the excitation spectra ek of this model are not symmetrical in the momentum space and are not always positive. As a result, besides the ferromagnetic （FM） and the paramagnetic （PM） phases, a gapless chiral phase is induced. In the chiral phase, the von Neumann entropy is proportional to log2 L （L is the length of a subchain） with the coefficient A ~ 1/3, which is the same as that of the XY chain in a transverse field without the DM interaction for 7 = 0 and 0 〈 h 〈 1. And in the vicinity of the critical point between the chiral phase and the FM （or PM） phase, the behaviors of the nearest- neighbor concurrence and its derivative are like those for the anisotropy transition.

The Classification of States for Markov Chain in Random Environments and m-irreducible

First of all, we introduces the concept of m-irreducible of Markov chain in random environment. Then under the condition of m-irreducible, the relationship of recurrent and positive recurrent between two states is studied. We also give several conditions that can imply a state is recurrent and positive recurrent. And then the period of a state is discussed and we obtained that under the condition of m-irreducible, for any two states in x, they have the same period.

中国—东盟区域价值链的塑造与挑战

当前,美国通过地缘政治手段介入亚洲区域价值链重构,试图构建以美国为核心、依托日韩盟友与链接东盟国家的战略价值链,其本质上延续了里卡多式增长模式。在美国战略价值链塑造中,东盟将是美国战略布局中取代中国的关键角色。而在大国博弈争夺价值链主导权的背景下,中国—东盟区域价值链的塑造将保障中国式现代化发展道路下中国的区域中心地位,不仅是中国与东盟共同塑造亚洲发展与繁荣的重要举措,同时也是亚洲区域经济突破传统增长模式壁垒,未来迈向熊彼得式增长的关键一步。实证分析表明,中国与东盟具有深厚的政治经济合作基础,中国与东盟在亚洲区域价值链的发展中链接日趋紧密,推动了亚洲区域价值链的地位提升与影响力扩大。但不可忽视的是,全球价值链重构、美国战略价值链构建、中国在“双向挤压”下转型升级等系列挑战,也将影响未来中国—东盟区域价值链的塑造。由此,中国与东盟必须通过紧密合作,寻找符合新一代区域价值链的发展推进路径,通过产业链链接和关键技术领域合作实现突破,进而塑造中国—东盟区域价值链合作的熊彼得式增长,以应对共同的地缘政治挑战。

考虑多失效行为的平衡系统可靠性建模与计算

平衡系统的可靠性建模与相关指标计算是可靠性理论与工程领域的研究热点之一。针对由多部件构成的串联平衡系统,假设每个部件受环境冲击影响逐渐退化,呈现出多种状态;系统的性能平衡取决于部件的状态及其排列位置,即当系统中退化程度超过某一阈值的部件分布在某一特定区域时,系统失去性能平衡。考虑单部件失效导致系统失效和三类系统性能失衡导致系统失效四类失效行为,构建了考虑多失效行为的平衡系统可靠性模型。运用有限马尔可夫链嵌入法推导了部件的相关概率指标以及系统可靠度。最后以液压支架系统为例,验证了所提出模型与方法的有效性。

基于灰色马尔科夫模型预测四川省肺癌死亡率趋势研究

目的预测未来5年四川省肺癌死亡率变化趋势,为四川省加强肺癌防治提供理论依据。方法通过《四川统计年鉴》明确该省2005至2021年肺癌死亡率情况,运用灰色马尔科夫模型结合Matlab2017b软件对四川省未来5年的肺癌死亡率进行预测。结果灰色模型的预测精度为95.07%,通过马尔科夫链进行优化后,预测精度上升至98.06%,优化后的模型拟合预测效果更精准。灰色马尔科夫模型预测未来5年四川省肺癌死亡率将呈持续上升趋势。结论灰色马尔科夫模型可以对四川省肺癌死亡率进行较好的预测和拟合,该组合模型可以作为未来预测肺癌死亡率发展趋势的一种新方法,为肺癌防治提供理论依据。

基于滚动采样马尔可夫链模型的光伏时序功率模拟研究

光伏出力的波动性和随机性会给电力系统调度运行的安全性和可靠性带来影响。为了实现对光伏出力长时间尺度的准确模拟,本文提出一种基于马尔可夫链的光伏场站时序功率模拟模型。首先,建立光伏出力模型,并对出力的不确定性和规律性特征进行研究分析;然后,在一阶马尔可夫链模型的基础上考虑相邻日之间的联系,根据季节与天气因素以10 d为一个采样区间对历史数据进行滚动采样,建立多状态转移概率矩阵,构建全年时序出力模拟模型;最后,以某光伏电站全年出力数据与历史气象监测数据为基础,通过实例模拟了全年的出力情况,并与传统方法进行了对比分析。算例结果验证了所提方法的有效性,表明该方法较好地模拟了受季节与天气影响下的光伏出力情况,与历史实际情况更为吻合。

我国中小企业全球价值链嵌入分析——基于RCEP成员国的比较分析

RCEP协定对中小企业作用于区域经济发展的意义给予充分肯定,并就完善成员国中小企业市场准入、加强中小企业全球价值链参与进行合作。本文从中小企业全球价值链嵌入率、中小企业全球价值链嵌入行业分布及中小企业全球价值链嵌入模式和地位等角度对中国与RCEP各成员国中小企业全球价值链(GVC)嵌入现状进行比较分析。研究发现:融资约束及自主创新、新技术使用方面的不足导致我国中小企业全球价值链嵌入率较低;政府对中小企业的政策支持差异导致我国与发达成员国中小企业全球价值链嵌入存在国家之间、行业之间的差距;全球价值链重构背景下我国中小企业全球价值链嵌入行业和方式造成中小企业不仅面临价值链攀升的难题,也面临被排除在全球价值链之外的局面。为此,我国中小企业应注重自身学习能力、创新能力、数字化能力等GVC参与能力建设,在更高水平对外开放背景下及政府相关政策措施和完善的服务体系支持下,抓住RCEP协定带来的机遇,积极完善全球价值链参与,在分享RCEP协定红利的同时促进区域内经济发展。

城轨电车的多维度行驶工况构建

为准确反映城轨电车的瞬时行驶特征,提出一种基于多维度状态空间的工况构建方法。首先,参考电动汽车领域的标准测试规程以及结合城轨电车的短行程行驶特征组建样本数据库,提取出特征参数中反映行驶特征累计贡献率最高的参数以进行降维,并按照得分矩阵的参数风格划分短行程类型;其次,以贡献率最高的三个样本参数作为输入,构建电车运行状态多维度状态转移概率矩阵,采用累积泊松分布函数与蒙特卡洛采样相结合的方法生成随机数确定下一时刻状态,以获取实时工况;最后,对不同维度下构建的工况进行对比分析。结果表明,三维状态空间下构建的各特征参数相对样本平均值的偏差和运行速度瞬态误差最低;速度和需求功率历程对运行场景的时空相关性和鲁棒性最强;电车续驶里程相较于传统一维和改进二维方法分别提升了93.5%和23.9%;验证了提升马尔科夫链维度对推演城轨电车实际工况的有效性和优越性。