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Of the many unrelated types of microbes that can initiate or stimulate the corrosion of metals, the most important economically are the sulphate‐reducing bacteria. They flourish in the soil, in fresh and salt water (including heating and cooling systems) and in oil storage tanks and associated pipelines; and they have been found in all the continents including Antarctica.

That psychopathy imposes substantial societal costs and economic burden is axiomatic, but monetization studies have overlooked cost estimates of the disorder. The paper aims to discuss these issues.

Drawing on a near census of institutionalized delinquents from Missouri, the current study devised new crime cost measures for self-reported offending.

Youth imposed $30 million in total costs annually in large part due to extensive involvement in robbery, theft, and assault. The most criminally active youth imposed costs in excess of $700 million. Psychopathy features were differentially correlated with crime costs. APSD-SR callous-unemotional traits, mPPI-SF Blame Externalization, mPPI-SF Machiavellian Egocentricity, and mPPI-SF Social Potency were significantly associated with between four and five crime costs. Psychopathic traits associated with ruthless self-interest, callousness, and expectations to control and dominate others manifest in diverse ways including serious violence and repeated property crime. Other features such as mPPI-SF Impulsive Nonconformity, mPPI-SF Stress Immunity, mPPI-SF Coldheartedness, mPPI-SF Carefree Nonplanfulness, mPPI-SF Fearlessness, APSD-SR Impulsivity, and APSD-SR Narcissism had limited associations with crime costs.

To the authors’ knowledge, this is the first monetization study to quantify the effects of assorted psychopathy features on crime costs.

The purpose of this paper is to study the soot formation and evolution by using this newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method.

The weighted soot particles are used in this MC framework and is tracked using Lagrangian approach. A detailed soot model based on the LPT-WFMC method is used to study the soot formation and evolution in ethylene laminar premixed flames.

The LPT-WFMC method is validated by both experimental and numerical results of the direct simulation Monte Carlo (DSMC) and Multi-Monte Carlo (MMC) methods. Compared with DSMC and MMC methods, the stochastic error analysis shows this new LPT-WFMC method could further extend the particle size distributions (PSDs) and improve the accuracy for predicting soot PSDs at larger particle size regime.

Compared with conventional weighted particle schemes, the weight distributions in LPT-WFMC method are adjustable by adopting different fraction functions. As a result, the number of numerical soot particles in each size interval could be also adjustable. The stochastic error of PSDs in larger particle size regime can also be minimized by increasing the number of numerical soot particles at larger size interval.

Describe the design of a health information and technology educational intervention that promotes health information sharing and technology use for older adult African Americans to support access to health information. The paper aims to discuss this issue.

The study team developed a novel method to design the intervention. It drew upon three approaches: intergenerational technology transfer, participatory design and community-based participatory research.

Older adult African Americans (55+) with diabetes and young adults (18–54) connected to them via familial or naturally occurring social networks designed the intervention, which was conducted in the two study sites in Michigan, USA. In total, 29 participants helped design the intervention. Four themes emerged concerning factors that promote intergenerational information exchange in the context of technology and health. First, focus on one technology skill. Second, working together in small groups is preferred. Third, patience is essential. Last, physical capabilities (i.e., eyesight, operating on relatively small screens) and literacy levels should be considered.

This novel method of having participants from the sample population select the health information materials and technology exercises serves as a guide for implementing health information and education interventions aimed at technology use to support self-management for vulnerable patient populations.

Disruptive and potentially unsafe classroom behaviours such as threatening, bullying, verbal and/or physical assaulting present challenges not only for teachers, aides and other students in the classroom, but potentially for all others in the building as well as the families of those students/pupils involved. These behaviours can greatly influence a student's ability to achieve academic success as well as place undue stress and risk on others in the milieu.

Discovering the cause for the behaviours and then developing a plan to help these young people succeed emotionally will greatly increase the probability for improved academic achievement. This chapter will examine the core principles of the Therapeutic Crisis Intervention for Schools (TCIS) programme and present a range of evidence-based responses designed to help build upon and further develop staff skills in preventing disruptive behaviours, de-escalating potential disruptive behaviours, and teach students how to develop less disruptive and more appropriate responses to their lack of or inability to self-regulate.

This chapter will contend that the foundation for all interventions and responses presupposes an accurate assessment of risk for the youth(s), the adults, and the environment. That any risk assessment must consider the internal (effects of trauma, ability to self-regulate, cultural issues) and external (organizational culture/climate, level of restrictiveness, caring community, quality of instruction) setting conditions for the youth.

The TCIS programme is embedded in the five domains for effective crisis management; leadership and building support, social work and clinical services participation (social workers, psychologists, therapists, nurses), building administration and post crisis response, training and competency standards, and data-driven incident monitoring and feedback.

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.

This paper aims to provide a critical review of the psychopathy literature, with a particular focus on recent research examining the relationship between psychopathy and various forms of criminal behaviour.

The authors provide an overview of the studies conducted to date. To identify relevant published studies for this review, literature searches were completed using Web of Science, Scopus, PsychINFO, and PubMed.

Substantial empirical research exists to suggest that psychopathy is a robust predictor of criminal behaviour and recidivism. Furthermore, considerable support for the assertion that the violence perpetrated by psychopathic offenders is more instrumental than the violence committed by other offenders was found. In addition, some research suggests that the greater use of instrumental violence among psychopathic offenders may be due to the interpersonal/affective traits of psychopathy, and not the impulsive/antisocial traits.

The current paper is the first to provide an in‐depth review of the literature examining the association between psychopathy and criminal offending with a particular focus on violent and homicidal behaviour.

The present work primarily aims to study the corrosion characterization of tubular steel API‐P110 in high H₂S containing solution with or without CO₂.

Corrosion behaviors of steel in buffered solutions containing 50 percent H₂S and various levels of CO₂ concentration were investigated via weight‐loss method, SEM and EDS. The effects of CO₂ on corrosion occurred on the metal were analyzed by electrochemical techniques.

Corrosion rates of steel decreased as the CO₂ content in H₂S/CO₂ solution increased. It was observed for the tubular steel to experience an increase in corrosion rate at concentrations 17 percent CO₂ or 34 percent CO₂ in 50 percent H₂S while when further increasing concentration of CO₂ to 50 percent the corrosion rate decreases. Increased CO₂ content in H₂S/CO₂ led to fewer anions desorbing and fewer reactants adsorbing, e.g. H+, H₂CO₃. As a result, cathodic reaction rate decreased and the amount of hydrogen absorbed decreased.

The experimental results showed that corrosion alleviated when increasing CO₂ content in high H₂S and CO₂ containing environment.