Using Fractal Function Auto-correlative Method to Confirm Fractal Dimension of Function Graph

The effects of light wave propagating in atmospheric turbulence are investigated experimentally, it is essential to measure the physical variable with time. In order to analyze appropriately these data, it is utilized the fractal function auto-correlative method to describe the fractal dimension of function graph of image-space. The fractal dimension Dg=1.47 of function graph is derived from the power spectral analysis of measuring data. It shows that the Kolmogorov' turbulent model is not completely in accord with actual atmospheric turbulence.     

Using Fractal Function Auto correlative Method to Confirm Fractal Dimension of Function Graph

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On Different Approaches to Estimate the Mass Fractal Dimension of Coal Aggregates

Several methods to measure the structures of coal aggregates are compared. Loose and compact coal aggregates were generated through flocculation of ultrafine coal particles (mean volume diameter of 12 μm) under specific shearing conditions. Aggregate structure in terms of mass fractal dimension, D_f, was determined using various methods; namely 2D and 3D image analysis, interpretation of intensity patterns from small angle light scattering, changes in aggregation state through light obscuration, and settling behavior. In this study, the measured values of D_f ranged from 1.84–2.19 for coal aggregates with more open structures, and around 2.27–2.66 for the compact ones. All of these approaches could distinguish structural differences between aggregates, albeit with variation in D_f values estimated by the different techniques. The discrepancy in the absolute values for fractal dimension is due to the different physical properties measured by each approach, depending on the assumptions used to infer D_f from measurable parameters. In addition, image analysis and settling techniques are based on the examination of individual aggregates, such that a large number of data points are required to yield statistically representative estimations. Light scattering and obscuration measure the aggregates collectively to give average D_f values of the particulate systems; consequently ignoring any structural variation between the aggregates, and leaving possible small contaminations undetected (e.g. by dust particles or air bubbles). Appropriate utilization of a particular method is thus largely determined by system properties and required data quality.     

Pore Structure Analysis of Porous Particles by Modelless and Micropore Method

The modelless (ML) and micropore (MP) methods for the pore structure analysis of porous particles have been studied. Concerning the ML method, it has been shown that the Kiselev equation can only be used to describe condensation and evaporation in capillaries, but cannot be used to describe the increase and decrease of the thickness of the adsorption layer. Strictly speaking, therefore, the ML method is not modelless even for the pore core size distribution. A comparison between the ML method and methods using an equivalent pore model is given. The results of using the ML method in conjunction with a certain pore model are little less accurate than those obtained by adopting the equivalent pore model straightaway. The parameters required for the calculation of both the pore core size and the pore size distribution as well as the conversion between these two calculations are given. Concerning the MP method, it has been shown that the three types of v-t curves, the theoretical foundation of the MP method, are not in one to one correspondance to the three kinds of adsorption mechanism. From the viewpoint of accuracy, the MP method has no advantage over the methods which are based on the condensation mechanism, both have their own merits.     

Sprout Branching of Tumour Capillary Network Growth: Fractal Dimension and Multifractal Structure

A tumour vascular network, characterized as an irregularly stochastic growth, is different from the normal vascular network. We systematieally analyse the dependence of the branching. It is found that anastomosis of tumour on time is according to a number of tumour images, and both the fractal dimensions and multifractal spectra of the tumours are obtained. In the eases studied, the fractal dimensions of the tumour vascular network increase with time and the multifractal spectrum not only rises entirely but also shifts right. In addition, the best drug delivery stage is discussed according to the difference of the singularity exponent δα（δα = αmax - αmin）, which shows some change in the growth process of the tumour vascular network. A common underlying principle is obtained from our analysis along with previous results.     

The Characterisation of Particles Using the Settling Rate dependent movement in two phase flows

The drawback of conventional sedimentation methods, mainly their extremely long sedimentation time for small particles, can be overcome in two phase flow systems. In this paper several principles which permit the rapid determination of settling rate distributions are discussed. Settling rate distributions can be determined from the accelerated particle movement in a flow of constant velocity at low and high solids concentrations. Another system uses accelerated flow at low solids concentrations. The best utilisation of settling rate applications have socalled cross flow systems as set up in a stagnation point flow, in a flow round a bend, or in the decelerated particle movement perpendicular to a flow of constant velocity.     

Anisotropy of Linear Thermal Expansion and Compressibility of Y 2 Fe 17 Under Pressure and its Correlation to Magnetic Structure

A complex temperature dependence of a.c. susceptibility of Y 2 Fe 17 under high pressures together with recent neutron diffraction studies under pressure proved the instability of the collinear ferromagnetic structure and the development of a non-collinear magnetic arrangement of Fe moments in Y 2 Fe 17 . To study the correlation between magnetic structure and volume in more detail we performed compressibility and linear thermal expansion studies under high pressures up to 100 kbar and 10 kbar, respectively. The compressibility in the paramagnetic state s P (above 10 kbar at room temperature) was determined from the Murnaghan equation of state using the X-ray data, \kappa_{P}=0.80\ {\rm Mbar}^{-1} . The linear thermal expansion and compressibility in the ferromagnetic state at low temperatures are highly anisotropic. As a consequence, the c/a ratio decreases with increasing pressure. The magnetic phase diagram of Y 2 Fe 17 compound was compiled up to 20 kbar.     

The Fractal Characteristic of Particles in Granular Material Flows and Its Effect on Effective Thermal Conductivity

According to the fact that many pulverized particles possess fractal characteristic, a fractal model for studying fine particles in granular material flows is first proposed. An expression of particles' fractal distribution is derived to describe the relationship between the particle fractal dimensions and particle velocity distribution function. In accordance with this model, the theoretical particle effective thermal conductivity is derived. The analytical results show that for the small Biot-Fourier number, the effective thermal conductivity increases with the square root of the granular temperature. For very large Biot-Fourier number, the effective thermal conductivity linearly increases with the granular temperature. Numerically calculated results show that the thermal conductivity increases with the particle size fractal dimensions and decreases with the particle surface fractal dimensions.     

Characterisation of Ripening and Pressure-Induced Changes in Tomato Pericarp Using NMR Relaxometry

A combination of two-dimensional nuclear magnetic resonance (NMR) relaxometry and optical microscopy is used to investigate the effects of ripening and high-pressure treatment on tomato pericarp tissue. It is shown that the relaxation times of the vacuolar water increase during the early stages of ripening even when there is no visible change and that this could be the basis of a useful on-line sensor for sorting tomatoes. The membrane rupturing and biopolymer denaturation associated with high-pressure treatments are also reflected in the NMR relaxation spectra.     

The Charge–Mass–Spin Relation of Clifford Polyparticles, Kerr–Newman Black Holes and the Fine Structure Constant

A Clifford-algebraic interpretation is proposed of the charge, mass, spin relationship found recently by Cooperstock and Faraoini, which was based on the Kerr–Newman metric solutions of the Einstein–Maxwell equations. The components of the polymomentum associated with a Clifford polyparticle in four dimensions provide for such a charge, mass, spin relationship without the problems encountered in Kaluza–Klein compactifications which furnish an unphysically large value for the electron charge. A physical reasoning behind such charge, mass, spin relationship is provided, followed by a discussion on the geometrical derivation of the fine structure constant by Wyler, Smith, Gonzalez-Martin and Smilga. To finalize, the renormalization of electric charge is discussed and some remarks are made pertaining the modifications of the charge–scale relationship, when the spin of the polyparticle changes with scale, that may cast some light into the alleged Astrophysical variations of the fine structure constant.     

Compressibility of hydrogen in Ni and Re hosts at pressures to 123 GPa

Abstract

Ni-H and Re-H binary systems have been studied at room temperature by X-ray diffraction in a diamond-anvil cell. The formation of the hydrides NiH and ReHo.4 with no change in the types of the host metal lattices was observed through the expansion of the host lattices. No structure changes were observed in the metal sub-lattice of either hydride under increasing pressure and the equations of state have been obtained to 123GPa. The difference in the partial hydrogen volume as a function of pressure between the Ni-H and Re-H systems can be understood with reference to the behaviour of conduction electrons. The pressure dependence of the partial hydrogen volume in these hydrides supports the hypothesis of the apparent common-volume behaviour of hydrogen in a metallic environment.     

微波消解-冷原子荧光法测定煤中痕量汞

微波消解技术具有样品溶解完全、污染少、节约试剂和方便快捷等特点。文章采用微波消解预处理煤样 ,并用冷原子荧光法测定样品中的痕量汞。采用硝酸 盐酸 氢氟酸消解体系 ,进行了微波消解条件的选择 ,并考察了载气流量、屏蔽气流量、负高压和干扰等对测定的影响。在选定的操作条件下 ,汞的检出限为0 0 3ng·mL-1,相对标准偏差 (n =7)小于 5 %。方法准确、快速和方便 ,利用国家标准参考物质煤飞灰GBW 0 84 0 1验证了方法的准确度 ,测定值与参考值基本吻合     

结晶过程及支链对正交晶精细结构的影响

用低温高分辨FTIR研究了EG系列乙烯－辛烯共聚物,通过对亚甲基rocking band的表征。结果表明,在支链不进入晶格的情况下,主链上支链的引入仍能引起晶格结构的变化,这种变化表现在正交晶格内分子链的距离的变化,二面角的变化和结晶规整程度的变化,并且发现不同的结晶过程对晶格的变化有不同的影响。     

Fine Structure in the alpha decays of 226U and 230Pu

The nuclei ²²⁶U and ²³⁰Pu have been populated via reactions involving ²⁰⁸Pb targets bombarded by ²²Ne and ²⁶Mg projectiles. Fusion-evaporation residues were separated in-flight using a gas-filled recoil separator. A position-sensitive Si-strip detector was employed at the focal plane in order to identify correlated !-decay chains. Two fine structure !-decay lines have been observed. The first, with an energy of 7385(5) keV, is assigned as the ! decay from ²²⁶U to the first excited 2⁺ state of ²²²Th. The second line, observed for the first time in this work, has an energy of 6961(30) keV and is assigned as the ! decay from ²³⁰Pu to the first excited 2⁺ state of ²²⁶U. The excitation energy of the first excited 2⁺ state in ²²⁶U was determined to be 96(25) keV, giving an estimate of the deformation parameter #₂ ­ 0.20.     

Unitary Representations of Super Lie Groups and Applications to the Classification and Multiplet Structure of Super Particles

It is well known that the category of super Lie groups (SLG) is equivalent to the category of super Harish-Chandra pairs (SHCP). Using this equivalence, we define the category of unitary representations (UR's) of a super Lie group. We give an extension of the classical inducing construction and Mackey imprimitivity theorem to this setting. We use our results to classify the irreducible unitary representations of semidirect products of super translation groups by classical Lie groups, in particular of the super Poincaré groups in arbitrary dimension and signature. Finally we compare our results with those in the physical literature on the structure and classification of super multiplets.     

植物样品消解后残留颗粒物元素组成研究

分别采用干灰化法和湿消化法处理植物标准参考物质灌木枝叶组合样(杨树叶和茶叶),用扫描电镜(SEM)对消解液中残留的不溶性颗粒物微观形貌进行了观察,并用SEM附属的X能谱仪研究了颗粒物的主要元素组成。另外,还用BCR法对茶叶残留颗粒物进行了分级萃取, 相关元素在四种存在形态中的含量分布状况由AAS和ICP-AES给出。研究结果表明：不同消解方法对颗粒物微观形貌有较大影响,其中植物样品经干灰化法处理后残留的颗粒物多呈灰黑色,表面疏松多孔;经湿消化法处理后残留的颗粒物均呈白色,多数结构紧密,数量也相对较少。不同植物样品残留的颗粒物元素组成均大同小异,主要为Si和Al,此外还有少量的Ca, Fe, K, Ti等。这些元素在颗粒物中存在形态不一,致使在进行植物样品分析时某些元素含量测定结果大为偏低。     

Accumulation of Particles and Formation of a Dissipative Structure in a Nonequilibrium Bath

The standard textbooks contain good explanations of how and why equilibrium thermodynamics emerges in a reservoir with particles that are subjected to Gaussian noise. However, in systems that convert or transport energy, the noise is often not Gaussian. Instead, displacements exhibit an α-stable distribution. Such noise is commonly called Lévy noise. With such noise, we see a thermodynamics that deviates from what traditional equilibrium theory stipulates. In addition, with particles that can propel themselves, so-called active particles, we find that the rules of equilibrium thermodynamics no longer apply. No general nonequilibrium thermodynamic theory is available and understanding is often ad hoc. We study a system with overdamped particles that are subjected to Lévy noise. We pick a system with a geometry that leads to concise formulae to describe the accumulation of particles in a cavity. The nonhomogeneous distribution of particles can be seen as a dissipative structure, i.e., a lower-entropy steady state that allows for throughput of energy and concurrent production of entropy. After the mechanism that maintains nonequilibrium is switched off, the relaxation back to homogeneity represents an increase in entropy and a decrease of free energy. For our setup we can analytically connect the nonequilibrium noise and active particle behavior to entropy decrease and energy buildup with simple and intuitive formulae.     

光谱分析在煤结构研究中的进展

煤结构是各类煤相关研究的微观基础,光谱分析作为煤结构研究的重要方法被广泛应用,其在煤结构研究中的进展对光谱分析方法的普及、应用和发展有重要意义.光谱分析方法研究煤结构已成为煤化工领域使用的常规方法,能够快速无损检测,对煤分子结构的破坏小,可为不同环境条件下煤物理化学性质的变化提供有效的检测手段.从光谱分析在煤质、大分子...