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Over the past decade, an increase in the numbers of women prosecuted, sentenced and imprisoned for drug-related offences has prompted concern and debate amongst criminal justice practitioners and policymakers. The female prison population in Southeast Asian countries is high compared to other regions. The direction of national drug policies and law enforcement are critical determinants of this situation. This chapter discusses the trends in the illicit drug market, the different types of policy responses, and the impacts on correctional services in the region. It provides an overview of women prisoners’ profiles, their backgrounds and their involvement in drug-related crimes. Key issues relating to the treatment of women in Southeast Asian prisons are analysed and addressed through the lens of the relevant provisions of the United Nations Rules for the Treatment of Women Prisoners and Non-custodial Measures for Women Offenders.

This paper aims to focus on the concept of money laundering and explores the evolution and expansion of criminalization of predicate offences to the money laundering within the international anti-money laundering (AML) regime over the time. It proposes how to limit the size and scope of predicate offences in designing a balanced legal definition.

This paper opted a content analysis focussed on the criminalization aspect of offences to money laundering in the international AML regime under the United Nations Conventions (Vienna, Palermo and Corruption Convention) and Financial Action Task Force Standards.

This paper provides how the criminalization of money laundering has evolved and its definition expanded over the time. The international definition is widely drafted with wide range of predicate offences from proceeds of drug money to corruption, including terrorist financing and terrorist acts; however, the two phenomena – money laundering and terrorist financing are quiet distinct apart. This continual expansion of predicate offences quite leads legality issues such as over-criminalization and conflict with principles of criminal law. This paper suggests an approach to limit the size and scope of predicate offences to money laundering.

This paper includes implications for the development of a balanced approach in defining predicate offences through a qualitative limitation approach consistent with the minimalist theory of penalization of criminal law.

This paper attains an identified issue how the legal definition of the money laundering offence can be improved while considering rule of law and principles of criminal law concerns.

The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

The article investigates whether and to what extent outsiderness is gendered in Western Europe, both in terms of its spread and degree. It thus explores which male and female post-Fordist social classes are more exposed to the risk of this phenomenon. It also scrutinizes whether such a gendered characterization has varied over time and across clusters of Western European countries.

Relying on a comparative analysis of the data provided by the European Social Survey (ESS) dataset and comparing two points in time – the early/mid-2000s and the late 2010s – the work provides both a dichotomous and continuous variable of outsiderness, which measure its spread and degree in the female and male workforces of a pooled set of growth models.

The empirical analysis shows that outsiderness is profoundly gendered in Western Europe and thus a feminized social phenomenon. However, the comparative investigation highlights that outsiderness has been genderized in diverse ways across the four growth models. Different patterns of gendered outsiderness can be identified.

The article provides a comparative and diachronic analysis of outsiderness from a gender lens, putting into a mutual dialogue different literature on labour market, and shows that outsiderness represents a key analytical dimension for assessing gender inequalities.

The purpose of this paper is to show the existence results for adapted solutions of infinite horizon doubly reflected backward stochastic differential equations with jumps. These results are applied to get the existence of an optimal impulse control strategy for an infinite horizon impulse control problem.

The main methods used to achieve the objectives of this paper are the properties of the Snell envelope which reduce the problem of impulse control to the existence of a pair of right continuous left limited processes. Some numerical results are provided to show the main results.

In this paper, the authors found the existence of a couple of processes via the notion of doubly reflected backward stochastic differential equation to prove the existence of an optimal strategy which maximizes the expected profit of a firm in an infinite horizon problem with jumps.

In this paper, the authors found new tools in stochastic analysis. They extend to the infinite horizon case the results of doubly reflected backward stochastic differential equations with jumps. Then the authors prove the existence of processes using Envelope Snell to find an optimal strategy of our control problem.

Exploring the influencing factors on urban rail transit (URT) ridership is vital for travel demand estimation and urban resources planning. Among various existing ridership modeling methods, direct demand model with ordinary least square (OLS) multiple regression as a representative has considerable advantages over the traditional four-step model. Nevertheless, OLS multiple regression neglects spatial instability and spatial heterogeneity from the magnitude of the coefficients across the urban area. This paper aims to focus on modeling and analyzing the factors influencing metro ridership at the station level.

This paper constructs two novel direct demand models based on geographically weighted regression (GWR) for modeling influencing factors on metro ridership from a local perspective. One is GWR with globally implemented LASSO for feature selection, and the other one is geographically weighted LASSO (GWL) model, which is GWR with locally implemented LASSO for feature selection.

The results of real-world case study of Shenzhen Metro show that the two local models presented perform better than the traditional global model (OLS) in terms of estimation error of ridership and goodness-of-fit. Additionally, the GWL model results in a better fit than GWR with global LASSO model, indicating that the locally implemented LASSO is more effective for the accurate estimation of Shenzhen metro ridership than global LASSO does. Moreover, the information provided by both two local models regarding the spatial varied elasticities demonstrates the strong spatial interpretability of models and potentials in transport planning.

The main contributions are threefold: the approach is based on spatial models considering spatial autocorrelation of variables, which outperform the traditional global regression model – OLS – in terms of model fitting and spatial explanatory power. GWR with global feature selection using LASSO and GWL is compared through a real-world case study on Shenzhen Metro, that is, the difference between global feature selection and local feature selection is discussed. Network structures as a type of factors are quantified with the measurements in the field of complex network.

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

I historically compare changes in institutional frameworks creating academic positions linked to temporary employment by analyzing university employment statistics in Chile, Colombia, Germany, and the USA. I find that temporary academic positions were institutionalized through the creation of previously inexistent academic categories called a contrata in Chile, de cátedra in Colombia, “junior professor” without tenure in Germany and “postdoc” in the USA; used in higher education and employment laws since 1989, 1992, 2002, and 1974, respectively. Under institutional frameworks demanding the maximization of students and research, universities have increasingly contracted academics through temporary contracts under rationales that differ between regions. In Colombia and Chile, public university leaders and owners of private universities contract such teaching positions to expand student numbers through lowering costs. In Germany and the USA, employment insecurity is mostly driven by temporary scientific positions under a main rationale of scientific expansion. The share of temporary positions has increased exponentially in Colombia and Germany in recent decades, whereas in the USA there has only been an increase since 2012. Moreover, in Chile, the share of permanent positions has decreased since 2012. The common trend is one of isomorphism of vertical academic structures sharing a pyramidal form, with a wide base of academics working under conditions of contractual insecurity. Such trends follow a rationale for maximization of student numbers as well as administration, and scientific production that is in tension with prioritizing wellbeing and improvement of academics’ working conditions. Yet, in these environments, the institution of tenure in the USA and recent Chilean regulations on accreditation represent mechanisms counteracting precarious employment.