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Radio frequency (RF) coaxial connectors are crucial in high-speed digital systems for data transmission. Connectors applied in harsh environments will be degraded over time, affecting the signal integrity. At present, a suitable equalization technology is of substantial value for enhancing the quality of high-speed signal transmission. However, there is limited research focusing on specific equalization designs for degraded connectors. In this current work, based on the theoretical analysis, simulations validation and experimental testing, an equivalent circuit model of the degraded connector was developed. Furthermore, an equalization structure consisting of series resistance and capacitance was proposed. The transmission loss caused by the connector degradation was compensated effectively using this method. Meanwhile, eye diagram characteristics were improved significantly at the receiver where zero timing jitter and an almost full eye opening were achieved. Equalization enhances the eye opening factor by over 50% compared to the uncompensated system. This paper integrates electrical contact theory with high-speed equalization design. Tools and guidance were provided through the proposed modeling techniques for studying equalization effects of this degraded connector system in designs and applications.
The modulation of drag through dispersed phases in wall turbulence has been a longstanding focus. This study examines the effects of particle Stokes number ($\textit{St}$) and Froude number ($\textit{Fr}$) on drag modulation in turbulent Taylor–Couette (TC) flow, using a two-way coupled Eulerian–Lagrangian approach with Reynolds number ${\textit{Re}}_i = r_i \omega _i d/\nu$ fixed at 3500. Here, $\textit{St}$ characterises particle inertia relative to the flow time scale, while $\textit{Fr}$ describes the balance between gravitational settling and inertial forces in the flow. For light particles (small $\textit{St}$), drag reduction is observed in the TC system, exhibiting a non-monotonic dependence on $\textit{Fr}$. Specifically, drag reduction initially increases and then decreases with stronger influence of gravitational settling (characterised by inverse of $\textit{Fr}$), indicating the presence of an optimal $\textit{Fr}$ for maximum drag reduction. For heavy particles, a similar non-monotonic trend can also be observed, but significant drag enhancement results at large $\textit{Fr}^{-1}$. We further elucidate the role of settling particles in modulating the flow structure in TC flow by decomposing the advective flux into contributions from coherent Taylor vortices and background turbulent fluctuations. At moderate effects of particle inertia and gravitational settling, particles suppress the coherence of Taylor vortices which markedly reduces angular velocity transport and thus leads to drag reduction. However, with increasing influence of particle inertia and gravitational settling, the flow undergoes abrupt change. Rapidly settling particles disrupt the Taylor vortices, shifting the bulk flow from a vortex-dominated regime to one characterised by particle-induced turbulence. With the dominance of particle-induced turbulence, velocity plumes – initially transported by small-scale Görtler vortices near the cylinder wall and large-scale Taylor vortices in the bulk region – are instead carried into the bulk by turbulent fluctuations driven by the settling particles. As a result, angular velocity transport is enhanced, leading to enhanced drag. These findings offer new insights for tailoring drag in industrial applications involving dispersed phases in wall-bounded turbulent flows.
The crystal structure of Form A of dequalinium chloride has been solved and refined using synchrotron X-ray powder diffraction data, and optimized using density functional theory techniques. Dequalinium chloride Form A crystallizes in space group P42212 (#94) with a = 26.2671(8), c = 9.1119(4) Å, V = 6,286.9(4) Å3, and Z = 8 at 298 K. Despite the conventional representation of the cation, the ring N atoms are not positively charged. The positive charges are distributed on the ring carbon atoms ortho and para to these N atoms. The central decyl chain conformation is more kinked than the all-trans that might be expected in the solid state, but contains only one unusual torsion angle. The crystal structure consists of an array of dequalinium cations, with chloride anions located in regions between the cations. There are short stacks of roughly parallel rings in multiple directions. There is only one classical hydrogen bond in the structure, N–H···Cl between one of the amino groups and one of the chloride anions. Several C–H···Cl hydrogen bonds are prominent, involving ring, chain, and methyl hydrogen atoms as donors. Particularly noteworthy are the hydrogen bonds from the first and second C atoms at each end of the decyl chain. The powder pattern has been submitted to the International Centre for Diffraction Data (ICDD) for inclusion in the Powder Diffraction File™ (PDF®).
The crystal structure of protriptyline hydrochloride has been solved and refined using synchrotron X-ray powder diffraction data and optimized using density functional theory techniques. Protriptyline hydrochloride crystallizes in space group P21/n (#14) with a = 10.10772(19), b = 32.0908(6), c = 10.45302(21) Å, β = 92.8748(10)°, V = 3,386.33(15) Å3, and Z = 8 at 298 K. The crystal structure contains the expected N–H···Cl hydrogen bonds, which link the cations and anions into crankshaft-shaped chains along the c-axis. The cations and the anions form layers parallel to the ac-plane, with van der Waals interactions between the layers. The powder pattern has been submitted to the International Centre for Diffraction Data (ICDD®) for inclusion in the Powder Diffraction File™ (PDF®).
Written by experts in the field, this text provides a modern introduction to three-dimensional dynamics for multibody systems. It covers rotation matrices, the twist-wrench formalism for multibody dynamics and Lagrangian dynamics, an approach that is often overlooked at the undergraduate level. The only prerequisites are differential equations and linear algebra as covered in a first-year engineering mathematics course. The text focuses on obtaining and understanding the equations of motion, featuring a rich set of examples and exercises that are drawn from real-world scenarios. Readers develop a reliable physical intuition that can then be used to apply dynamic analysis software tools, and to develop simplified approximate models. With this foundation, they will be able to confidently use the equations of motion in a variety of applications, ranging from simulation and design to motion planning and control.
This chapter introduces linear cryptanalysis from the point of view that historically led to its discovery. This “original” description has the advantage of being concrete, but it is not very effective. However, it raises important questions that motivate later chapters.
This chapter describes how the behavior of biomaterials under different operating conditions is assessed for safety and efficacy during the medical device design process. The intrinsic properties of biomaterials are evaluated for various requirements such as their mechanical integrity and their reactions to their immediate environment. A selection of standard testing methods to predict the behavior of materials under different conditions are discussed in this chapter.
The main extensions of linear cryptanalysis were introduced in previous chapters; they are multiple, multidimensional, and zero-correlation linear cryptanalysis. However, these are far from the only extensions proposed in the literature. This chapter is a tour of some of the most important proposals. Most of the extensions of linear cryptanalysis discussed in this chapter are partly conjectural: they show how certain combinatorial properties might be used to attack cryptographic primitives, but do not provide a clear way to analyze or find these properties. Chapter 11 returns to this issue.
This chapter discusses the fundamentals of tissue engineering and the different cell types that are pertinent to this field. Typical scaffold fabrication techniques as well as common methods used to evaluate scaffolds, cell growing on scaffolds, and neo-tissue are also presented.
Metals used for medical devices and their properties are discussed in this chapter. Phase diagrams for each metal are also included to help students understand the importance of temperature and its role in determining a specific phase and structure.
Voltage and current sources, both independent and dependent, are introduced, along with resistors and their equivalent circuit laws. The Thevenin and Norton theorems are presented. Several examples of resistor applications are given. Various techniques for solving circuit problems are discussed, including Kirchhoff’s laws, the mesh loop method, superposition, and source transformation. Input resistance of measuring instruments is discussed and the various types of AC signals are presented.
This appendix collects some important facts about the normal distribution. These results are used throughout this book, and in particular in Chapters 4, 6, and 7.
Factors affecting protein structures and properties, formation of monolayers, forces influencing protein interactions and how proteins are adsorbed on different biomaterial surfaces are presented in this chapter. In addition, some of the commonly used methods to understand the behavior of adsorbed proteins are briefly discussed.
The chapter presents the fundamentals and importance of sterilization. Different methods used to sterilize medical implants are discussed, together with the principles behind determining the type of sterilization method suitable for an application.
In Chapter 1, we estimated the correlations of linear approximations by finding a suitable linear trail and applying the piling-up lemma, but this approach relied on an unjustified independence assumption. This chapter puts the piling-up lemma and linear cryptanalysis in general on a more solid theoretical foundation. This is achieved by using the theory of correlation matrices. Daemen proposed these matrices in 1994 to simplify the description of linear cryptanalysis.