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A three‐parameter model for the electronic stopping power of boron in silicon is presented. The model parameters are determined from implantations into amor‐phous silicon and from channeling implantations into <100> and <100> silicon. Simulated boron profiles obtained with the new model, with the Lindhard model, and with the Oen‐Robinson model, respectively, are compared with experimental data on channeling and tilted implantations at 17 and 150 keV.

The effect of a screening oxide layer on 1‐D and 2‐D ion implantation profiles in silicon is investigated using Monte Carlo simulations. Experimental observations of profile broadening by oxide layers are explained by the fact that atoms at lattice positions are less effective in steering ions into channels than atoms at random positions. The influence of the oxide layer on the lateral penetration below a mask is discussed in terms of implantation energy and ion species. A new set of parameters for the electronic stopping of phosphorus and arsenic in silicon is used.

Heritability studies attempt to estimate the contribution of genes (vs. environments) to variation in phenotypes (or outcomes of interest) in a given population at a given time. This chapter scrutinizes heritability studies of adverse health phenotypes, emphasizing flaws that have become more glaring in light of recent advances in the life sciences and manifest most visibly in epigenetics.

Drawing on a diverse body of research and critical scholarship, this chapter examines the veracity of methodological and conceptual assumptions of heritability studies.

The chapter argues that heritability studies are futile for two reasons: (1) heritability studies suffer from serious methodological flaws with the overall effect of making estimates inaccurate and likely biased toward inflated heritability, and, more importantly (2) the conceptual (biological) model on which heritability studies depend – that of identifiably separate effects of genes versus the environment on phenotype variance – is unsound. As discussed, contemporary bioscientific work indicates that genes and environments are enmeshed in a complex (bidirectional, interactional), dynamic relationship that defies any attempt to demarcate separate contributions to phenotype variance. Thus, heritability studies attempt the biologically impossible. The emerging research on the importance of microbiota is also discussed, including how the commensal relationship between microbial and human cells further stymies heritability studies.

Understandably, few sociologists have the time or interest to be informed about the methodological and theoretical underpinnings of heritability studies or to keep pace with the incredible advances in genetics and epigenetics over the last several years. The present chapter aims to provide interested scholars with information about heritability and heritability estimates of adverse health outcomes in light of recent advances in the biosciences.

Does having alcoholic parents make you more susceptible to alcohol problems? Why do some people develop drink or drug problems while others in the same family do not? How much can genetic research tell us about why drink and drugs can affect people in so many different ways? With genetic research discovering increasing links with behaviour we invited two of the leading addiction and gene researchers to explain the science. Tamara Phillips and John Crabbe uncover the ever‐emerging world of genetic research and addiction theory.

In order to improve the practicability of the design in state estimation, the paper aims to present a novel disturbance decoupled reduced‐order observer (DDRO) design scheme.

The paper first uses equivalence transformation to eliminate unknown input appearing in measurement. Then based on Luenberger observer and using two non‐singular coordinate transformation, the design observer can get no bias error in the state estimation.

By using this approach we find that the conditions of DDRO depend on the system itself that is weaker than other observers. It is a qualified and simple and straightforward approach to be applied in wide domains.

We should note that the number of independent rows of the matrix C must not be less than the number of the independent columns of the matrix E to satisfy condition rank(CE)=rank(E)=q. In other words, the maximum number of disturbances which can be decoupled cannot be larger than the number of independent measurements.

It is a very useful approach to solve the problem that the measurement is contaminated by disturbances.

The paper proposed an equivalence transformation. It is used to eliminate unknown input appearing in measurement. At the same time the algebraic transformation guaranteed that it would lose no information of the unknown inputs. And compared with other known results, the design condition of the reduced‐order observer which proposed in this paper depends on system itself, especially, which is weaker than others.

The purpose of this paper is to develop a volatile organic component‐free water‐based binder with improved coating properties from urethane‐alkyd acrylate by emulsion polymerisation.

Alkyd resin based on interesterification of sardine fish and linseed oil (50:50 w/w) was synthesised and reacted with isophorone diisocyanate to form urethane alkyd. The resultant urethane alkyd and acrylic monomers in different ratios were polymerised by emulsion polymerisation to form air‐drying water‐based binders and studied for physicochemical and other coating properties.

Urethane alkyd, co‐polymerised with acrylates by emulsion polymerisation process, can be used to prepare water‐based air‐drying binders with excellent coating and application performance. The increase in acrylate component in the system resulted in improvement of performance properties.

In the present study, refined fish oil (FO) was obtained from sardine fish. Different FOs can be used to produce alkyd resin. Urethane alkyd and acrylic monomers in different ratios can be polymerised by emulsion polymerisation techniques.

The emulsion polymerisation is the most effective technique used to produce water‐based binders with excellent coating properties.

Water‐based binders can be widely used in exterior coatings and waterproofing of cement and roofs.

This paper aims to offeri novel nano-additives polymer microgels to precisely improve the lubrication properties of titanium alloy under different temperatures.

The surfactant-free emulsion polymerization method was used to prepare Poly(N-isoprolylacrylamide) (PNIPAM) microgels. A ball-on-disk tribometer was applied to investigated the temperature-sensitive lubrication behavior of PNIPAM microgels.

The results show that the as-prepared microgels are ball-like nanoparticles with the size of 50–900 nm. In addition, potassium persulfate as initiator, complete mixing technic and high sodium dodecyl sulfate (SDS) concentration contribute to the formation of microgels with small size. The tribosystem shows a lower friction coefficient with the lubrication of PNIPAM microgels as aqueous solution additives when the temperature exceeding the critical temperature.

This work reports the temperature-sensitive lubrication of PNIPAM microgels. The critical temperature of PNIPAM microgels could be regulated by the addition of SDS in the solutions. This offers an effective and facile strategy for regulation of the critical temperature of smart microgels, which is helpful for the smart lubrication in the future.

Purpose – This chapter focuses on individual differences in anxiety, by reviewing its neurobiology, cognitive effects, with an emphasis on decision-making, and recent developments in neuroeconomics.

Methodology – A review and discussion of anxiety and decision-making research.

Practical implications – This chapter argues that by making the step from emotional states to individual differences in emotion, neuroeconomics can extend its neurobiological roots and outreach its current clinical relevance.

Value of chapter – This chapter contributes to the literature on individual differences in emotion and their effects on decision-making, which is increasingly important in mainstream behavioral economics and neuroeconomics.