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Uses examples from US case law to illustrate how money laundering has been attempted in the past. Details a large number of specific methods: cash couriers, cash conversion, safe deposit facilities, credit cards, foreign bank accounts, alternative or parallel remittance systems, trusts, precious metal and gems, art and antiques, expensive lifestyles, fictitious loans, real property, cars, boats and planes, stocks and bonds, bearer bonds, casinos, negotiable instruments, cash for cheque exchanges, business, investment funds, non‐profit organisations, shell corporations, and working capital for a criminal enterprise. Also indicates the factors influencing choice of money laundering methods: the amount of money to be laundered, the availability of professional services from people willing to be involved, the scope for intimidation or corruption of professionals, and so on.

This paper aims to investigate the effect of varying Wt.% (0-3 per cent) of graphite as a solid lubricant on the tribological properties of Fe-Cu-Sn alloy.

Powder metallurgy technique is used for the fabrication of Fe-Cu-Sn alloy with varying Wt.% of graphite. The tribological tests were conducted on a ball-on-disc universal tribometer under different testing conditions.

The friction coefficient decreases with sliding distance and load, but the wear rate increases with the increase in load. The G3 composition showed the best tribological properties under dry conditions. The wear mechanism of G0 composition shows adhesive wear and abrasive wear, while G1, G2 and G3 compositions show mildly abrasive wear.

This paper reported a new, cheap and wear-resistant self-lubricating Fe matrix material for gears and bearings.

This paper proposes a new approach to testing in the generalized method of moments (GMM) framework. The new tests are constructed using heteroskedasticity autocorrelation (HAC) robust standard errors computed using nonparametric spectral density estimators without truncation. While such standard errors are not consistent, a new asymptotic theory shows that they lead to valid tests nonetheless. In an over-identified linear instrumental variables model, simulations suggest that the new tests and the associated limiting distribution theory provide a more accurate first order asymptotic null approximation than both standard nonparametric HAC robust tests and VAR based parametric HAC robust tests. Finite sample power of the new tests is shown to be comparable to standard tests.

Cotton being an anionic fiber can be dyed with direct, reactive, vat and sulfur dyes but cannot be dyed with acid dyes due to their chemical differences. But there are certain advantages of acid dyes like acid dyeing is the simplest method than the other classes of dyes; and it offers various intense and bright shades. So, the purpose of this paper is to focus on acid dyeing of cotton fabric after its chemical modification.

Such modification of cotton fabric has been achieved using poly(amido)amine dendrimer (PAMAM) treatment. The current work is based on the synthesis of a full-generation PAMAM dendrimer (G0) and its application onto the cotton fabric for modifying the cotton substrate by the exhaust and padding method.

The treatment of the dendrimer on cotton fabric has been analyzed by Fourier transform infrared spectroscopy and scanning electron microscopy. The dyeing results in terms of color strength of the treated cotton fabrics are compared with those of conventional acid dyed silk fabric. The fastness assessments such as wash, light and rubbing fastnesses after dyeing of treated cotton fabrics are also performed and found to be satisfactory.

This paper can be used in the application of synthesized poly(amido)amine dendrimer in acid dyeing of cotton.

Our paper discusses simulation-based Bayesian inference using information from previous draws to build the proposals. The aim is to produce samplers that are easy to implement, that explore the target distribution effectively, and that are computationally efficient and mix well.

In this chapter, we consider the nonparametric estimation of the average treatment effect (ATE) based on direct estimation of the conditional treatment effect. We establish the asymptotic distribution of the proposed ATE estimator. We also consider consistent testing for a parametric functional form for the conditional treatment effect function. A small-scale Monte Carlo simulation study is reported to examine the finite sample performance of the proposed estimator.

In this chapter we investigate the ownership and control of UK firms using contemporary methods from computational graph theory. Specifically, we analyze a ‘small-world’ model of ownership and control. A small-world is a network whose actors are linked by a short chain of acquaintances (short path lengths), but at the same time have a strongly overlapping circle of friends (high clustering). We simulate a set of corporate worlds using an ensemble of random graphs introduced by Chung and Lu (2002a, 2002b). We find that the corporate governance network structures analyzed here are more clustered (‘clubby’) than would be predicted by the random-graph model. Path lengths, though, are generally not shorter than expected. In addition, we investigate the role of financial institutions: potentially important conduits creating connectivity in corporate networks. We find such institutions give rise to systematically different network topologies.

Some structuralists argue that devaluations are contractionary, and that exports and imports are inelastic to exchange rate movements. A simultaneous model of exports, imports, capital flows and output is used to show that in Peru only the first proposition is correct. Consequently, external equilibrium and fast growth are incompatible. Introducing Williamson′s FEER suggests that there are wild fluctuations of actual rates around FEER, and a long‐term tendency of the latter to increase. Prudent policies should seek short‐run stability and a lower FEER in the long term; it is not devaluations but their contractionary effect which should be avoided.