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This study investigated disparities in dual diagnosis (comorbid substance use and depressive/anxiety disorders) among US adults by nativity and racial–ethnic origin and socioeconomic, cultural, and psychosocial factors that may account for the observed disparities.

The study drew on data from two waves of the National Epidemiological Survey on Alcohol and Related Conditions. Racial–ethnic categories included African, Asian/Pacific Islander, European, Mexican, Puerto Rican, and other Hispanic/Latino. Substance use and depressive/anxiety disorders were assessed per DSM-IV. A four-category measure of comorbidity was constructed: no substance use or psychiatric disorder; substance use disorder only; depressive/anxiety disorder only; and dual diagnosis. The data were analyzed using multinomial logistic regression.

The prevalence of dual diagnosis was low but varied by nativity, with the highest rates among Europeans and Puerto Ricans born in US states, and the lowest among Mexicans and Asians/Pacific Islanders. The nativity and racial–ethnic effects on likelihood of having dual diagnosis remained significant after all adjustments.

The limitations included measures of immigrant status, race–ethnicity, and stress and potential misdiagnosis of mental disorder among ethnic minorities.

This new knowledge will help to guide public health and health care interventions addressing immigrant mental and behavioral health gaps.

This study addressed the research gap in regard to the prevalence and correlates of dual diagnosis among immigrants and racial–ethnic minorities. The study used the most current and comprehensive data addressing psychiatric conditions among US adults and examined factors rarely captured in epidemiologic surveys (e.g., acculturation).

In this chapter we explore different ways to obtain decompositions of rank-dependent indices of socioeconomic inequality of health, such as the Concentration Index. Our focus is on the regression-based type of decomposition. Depending on whether the regression explains the health variable, or the socioeconomic variable, or both, a different decomposition formula is generated. We illustrate the differences using data from the Ethiopia 2011 Demographic and Health Survey (DHS).

The doctrine of employment‐at‐will has been the rule of law for over 100 years in the United States. Under it an employee can be terminated for a good reason, a bad reason, or for no reason at all. Because of real abuses when firing employees, generally called wrongful termination, all but five U.S. states have now carved out at least one of three exceptions to the rule. They are implied contract, public policy tort, and the implied covenant of good faith and fair dealing. Although created with good intentions, all three exceptions have spawned a legal environment of judicial inconsistency and unpredictability and a climate of expensive litigation and monetary judgments. The Model Employment Termination Act, if adopted by all the states, would establish a uniform legal system for managing employee terminations. The Act's major provisions require that an employee can be terminated only for “good cause,” and, in the “preferred version” that arbitration be used in settling disputes. However, an employee's remedies are limited and can include reinstatement, back pay, lump‐sum severance payments, and reasonable attorneys' fees and costs, but no compensatory or punitive damages.

This paper aims to examine whether foreign technology acquisition is complementary to internal technology development in the context of a developing country.

The selection model developed by Heckman (1979) was applied with the balanced panel data of manufacturing enterprises from the Annual Enterprise and Technology Surveys from 2012 to 2016 conducted by the Vietnamese General Statistics Organization.

The results indicate that foreign technology acquisition and internal technology development are complementary innovation options. Particularly, the number of patents granted for manufacturing enterprises positively affects the probability that enterprises acquire foreign technologies. This effect is stronger in cases of high-tech industries than in cases of low-tech industries.

Regarding the relationship between internal technology development and foreign technology acquisition, the findings suggest that adoption of foreign technology acquisition and priority in budget allocation for foreign technology acquisition are different in nature and that budget allocation is a more complex issue and may depend on other factors.

For developing countries, governments should adopt policies supporting domestic enterprises in acquiring technologies from advanced countries that could complement the locally developed technologies. These supports should focus on the high-tech or high-innovation rate industries.

In the context of a developing economy, the complementary effect of internal technology development and foreign technology acquisition is stronger in cases of the high-tech industries than in cases of the low-tech industries.

In this study, we aimed at examining the unique and interactive effects of peer violence in cyberspace on adolescents’ emotion regulation and socioemotional adjustment, as well as the mediational role of resilience in the link between adolescent’s pathogenic relational experiences and behavioral outcomes. Specifically, we intended to explore emotion differentiation and regulation in reaction to bullying perpetration and victimization and in terms of positive (proud, confident, good) and negative (ashamed, excited, guilty), Passive (sad, embarrassed, humiliated) and Reactive (angry, scared) emotions and how it impacted and predicted positive and negative outcomes.

A stratified convenient sample of 494 Italian students aged 13–19 years (M = 15.27, SD = 1.23) was selected to represent all different school types in Italy and the students were administered a self-report questionnaire on school bullying involvement. General Linear Models, ANOVA, and T-tests were employed to explore gender differences, the relationships between variables, and their contribution to the predictive model. A two-step Cluster analysis was used to profile adolescents based on patterns of resilience, health outcomes, and cyberbullying involvement.

Results showed significant gender differences, with females using internet and Facebook more than males and being more resilient, positive, and prosocial, but also responding to victimization with higher levels of alienation, anger, humiliation, and psychosomatic and emotional symptoms. Males perpetrated peer violence more than females, were less likely to be victimized, and were generally less emotionally impacted by it. Victimization rates (63.7%, n = 296) were higher than perpetration rates (51.7%, n = 233) and bully-victimization was prevalent (47.1%). Victims prevalently experienced passive emotions (sadness, humiliation, embarrassment) while perpetrators experienced negative ones (guilt and shame). Cluster analysis evidenced different pathways and trajectories of resilience and cyberbullying involvement: Resilient victims (RV), Healthy uninvolved (HU), Healthy Bullies (HB), Alienated Bully-Victims (ABV), and Resilient Bully-Victims (RBV). RV, HU, and HB resulted all well-adjusted, despite the different involvement in cyberbullying, and also RBV and despite the double involvement in cyberbullying, ABV were the only maladjusted and at-risk group in our sample characterized by very low Positivity, very low Resilience, and extremely high Alienation.

This study proposes a comprehensive, developmental, ecological, relational, and self-regulatory resilience approach to cyberbullying, which represents an innovative and advanced contribution to the literature with significant implication for research and practice. Fully understanding and measuring the emotional impact of cyber peer violence and resilience following cyberbullying victimization and perpetration can help in developing targeted interventions for both victims and bullies. This study highlighted the need for a self-regulatory model of resilience for modulating emotions, arousal, and behaviors across contexts, relationships, and difficulties. It also evidenced that moderate levels of resilience and positivity are sufficient to buffer youth from involvement in cyberbullying and to predict healthy adjustment and less pathological outcomes.

By profiling adolescents based on resilience levels, health outcomes, and cyberbullying involvement, we evidenced five distinct trajectories of risk evaluation for cyberbullying beyond participating roles. Our results confirmed the fundamental importance of assessing resilience and emotion regulatory resources together with peer violence involvement in identifying and targeting adolescents at risk.

This work presents a review of the state of the art of the present century on academic and scientific production in Latin America related to the concept of Social Innovation. The analysis is based on articles published in indexed journals, which makes it possible to understand the existing asymmetry between the conceptual and theoretical veins, of the case studies, as well as of good social innovation practices that have been published in recent years. These debates have in some cases transcended public policies, as well as business and social realities where social innovation is a mechanism and strategy for personal, social, and territorial development. Finally, a Latin American community of researchers and academics around social innovation must be consolidated, who choose to continue building theoretical-empirical bodies following the Latin American reality.

The indexing techniques most commonly applied in information retrieval systems associate weights to the terms of documents; this association is carried out in order to quantify the term’s capacity for representing the document. Subsequently, these weights are used in query processing, playing an important role in the performance of the system. This work presents a method for the adjustment of index weights by processing text that has been highlighted by users. Text in a document is highlighted using an application which provides annotation facilities in order to support active reading. Highlighted text is supposed to be of special relevance and the method tries to improve the index weights of terms located in these highlighted fragments.

The American public greatly esteems their First Amendment right to freedom of speech, but generally understands poorly its true ambit. Unfortunately, this defect in understanding permeates American educational institutions, from the lowest grades to higher education and even professional schools. Students’ pervasive ability to engage in technological speech and expression further complicates the issue, especially when inappropriate or offensive speech originating outside school crosses the geographic boundary and enters school. School administrators at all levels, challenged with maintaining atmospheres of safety and security conducive to learning, are being asked to respond to such student speech, but they fear to exceed the limits of their authority. Cyberbullying and harassing communications continue to distract victims and educators and detract from the quality of education at all institutions. The legal system and judiciary provide little guidance, and what guidance there is suffers from lack of consistent definitions and conflicting analyses. This chapter will review the jurisprudence pertaining to the First Amendment as applied to the school setting. The emphasis will be on legislative, judicial, and societal responses to cyberbullying and cyber harassment in the school setting, from the elementary level to higher education. Finally, recommendations for policies and procedures for dealing with cyberbullying and cyber harassment in schools will be presented.