OBJECTIVE: This study aimed to investigate the relationships between childhood maltreatment, shame, and self-esteem among juvenile female offenders and to explore the potential influencing factors on their criminal behavior.
METHODS: Using a stratified cluster sampling method, 1,227 juvenile female offenders from 11 provinces in China were surveyed using the Childhood Trauma Questionnaire (CTQ), Self-Esteem Scale (SES), and a self-developed Shame Questionnaire for Juvenile Offenders. Data were analyzed using descriptive statistics, correlation analysis, chi-square tests, t-tests, and structural equation modeling with mediation analysis.
RESULTS: (1) Childhood maltreatment have a significant potential influencing factors on criminal behavior; (2) Childhood maltreatment was positively correlated with self-esteem(β = 0.351, p < 0.001); (3) shame (β = 0.042, p < 0.001) mediate the relationship between Childhood maltreatment and self-esteem (childhood maltreatment → shame → self-esteem (95% Cl: 0.033, 0.052)).
CONCLUSIONS: This study demonstrates that childhood maltreatment is a significant predictor of criminal behavior among juvenile female offenders. childhood maltreatment can directly influence of self-esteem, which can also affect juvenile female offenders\'self-esteem indirectly through shame. The findings suggest that shame are important variables that mediate the effect of the juvenile female offenders\'childhood maltreatment on their self-esteem.

(1) Background: Maltreated children are at increased risk for juvenile delinquency. Extant research has explored the effect of child maltreatment on either the initial risk of juvenile delinquency or general juvenile recidivism. However, little is known regarding the effect of child maltreatment on chronic offending. (2) Methods: Using a sample of 695 male juvenile offenders incarcerated in a centralized juvenile reformatory of the province X located in Southwest China, this study investigates both the prevalence of child maltreatment and the effect of child maltreatment on chronic offending among the juvenile offenders. Descriptive statistical analyses and multinomial logistic regression were utilized to conduct the analyses. (3) Results: A vast majority of the juvenile offenders experienced at least one type of child maltreatment. Moreover, maltreatment was generally found to be more prevalent in chronic offenders than in one-time offenders and recidivists. Results from a series of logistic regression analyses revealed that among five specific maltreatment types, only physical abuse exerted a statistically significant and positive impact on chronic offending. (4) Conclusions: The findings highlight the importance of providing early prevention and intervention programs to juvenile offenders who were physically abused in order to reduce general chronic offending as well as chronic violent offending.

With the rapid development of construction projects, more and more engineering corruption problems have emerged. Therefore, this paper proposes a SEIR (susceptible-exposed-infected-recovered) based corruption model to better understand the propagation process of corruption cases in construction projects. In this model, the data samples are collected from the 2018 Engineering Corruption Case Judgment Document, the propagation parameters are obtained through actual case analysis with the help of complex networks, the change process and key influencing factors of actual nodes in engineering corruption cases are simulated by Python. The study results indicate that the personnel conforms to the \"4-9 transmission law,\" in which the early stage is a period of high incidence of corruption cases. The network of corruption cases is somewhat vulnerable, and its spread is about minus 8 times the change in crackdown rate and 10 times the change in infection rate. The variation range of the susceptible population S and the removed person R in the propagation simulation curve can predict the relationship between corruption infection rate and crackdown rate, which can provide theoretical guidance for preventing the occurrence of corruption.

Aims: Hypothalamic-pituitary-adrenocortical axis gene polymorphisms have been reported to affect aggressive behavior. Corticotropin releasing hormone binding protein (CRHBP) polymorphisms have been shown to contribute to the susceptibility to stress-related disorders, including aggressive behavior. However, no study has been conducted on the relationship between CRHBP polymorphisms and aggressive behavior risk in the Han Chinese population. Methods: A case-control study that comprised 194 male criminals and 303 healthy controls was carried out to investigate the genetic association between several CRHBP gene polymorphisms and aggressive behavior risk in the Hunan Han population. Genotyping was conducted by using the improved multiplex ligase detection reaction method for four CRHBP loci: rs10062367, rs32897, rs7718461, and rs7721799. Results: The incidence of the rs32897C allele was significantly lower in the robbery group compared with the control subjects after a Bonferroni correction (p = 0.016), indicating a protective role for the C allele of rs32897. Interestingly, a haplotypic analysis that was stratified by robbery and intentional injury showed that the haplotype consisting of rs10062367G, rs32897C, rs7718461A, and rs7721799G (which includes the protective rs32897 C allele) was significantly associated with decreased robbery risk (odds ratio [OR] = 0.31, p = 0.0005), but not for intentional injury (OR = 0.82, p = 0.44). The haplotype consisting of rs10062367G, rs32897T, rs7718461A, and rs7721799G carrying the rs32897 T allele significantly increased the risk for robbery (OR = 1.47, p = 0.0213), but not for intentional injury (OR = 0.92, p = 0.64). Conclusions: The rs32897 alleles and the haplotypes containing the rs32897 alleles, including GCAG and GTAG, may be factors associated with committing robbery in the Hunan Han population, and could be used to provide clinical counseling with regard to aggressive behavior. However, further studies including multiple ethnicities are needed.

Little evidence exists on the effect of the Affordable Care Act (ACA) on criminal behavior, a gap in the literature that this paper seeks to address. Using a simple model, we argue we should anticipate a decrease in time devoted to criminal activities in response to the expansion, because the availability of the ACA Medicaid coverage raises the opportunity cost of crime. This prediction is particularly relevant for the ACA expansion because it primarily affects childless adults, a population likely to contain individuals who engage in criminal behavior. We validate this forecast empirically using a difference-in-differences framework, estimating the expansion\'s effects on panel datasets of state- and county-level crime rates. Our estimates suggest that the ACA Medicaid expansion was negatively associated with burglary, vehicle theft, homicide, robbery, and assault. These crime-reduction spillover effects represent an important offset to the government\'s cost burden for the ACA Medicaid expansion.

Recently, the Portuguese Parliament discussed four proposals aimed at allowing some forms of medically assisted death. However, all of them were rejected by the majority. Therefore, doctors who in some way accelerate a patient\'s death risk being convicted of the crime of homicide. Portuguese law provides some legal mechanisms that can exempt a doctor from criminal liability, such as causes excluding the conduct\'s wrongfulness, and causes excluding the doctor\'s culpability. Other elements to take into consideration are a proper interpretation of homicide crimes, thereby excluding conducts without the intent to kill; the relevance of patient consent; and the rejection of medical futility. This article explains how a doctor may not be held criminally accountable for medically assisted death, even in restrictive jurisdictions such as the Portuguese one.

The Bitcoin market becomes the focus of the economic market since its birth, and it has attracted wide attention from both academia and industry. Due to the absence of regulations in the Bitcoin market, it may be easier to bring some kinds of illegal behaviors. Thus, it raises an interesting question: Is there abnormity or illegal behavior in Bitcoin platforms? To answer this question, we investigate the abnormity in five leading Bitcoin platforms. By analyzing the financial index, i.e. the normalized logarithmic price return, we find that the properties of price return in bitFlyer are completely different from others. To find the possible reasons, we find that the abnormal ask price and bid price appear simultaneously in bitFlyer, which may be potentially linked to either price manipulation or money laundering. It verifies our conjecture that there may be abnormity or price manipulation in Bitcoin platforms. Furthermore, our findings in price return could also provide an innovative and effective method to detect the abnormity in Bitcoin platforms.

A case of illegal vaccine sales in Shandong province, China, (hereinafter, the incident), which caused a lack of confidence among vaccination recipients and public panic, was uncovered in March 2016. We conducted a study comprising two cross-sectional surveys: at two months (May 2016) and seven months (October 2016) after the incident. The study aimed to evaluate the impact on immunizations; investigate the variation of the immunization coverage of the National Immunization Program Vaccines (NIPV) and the sales volume growth rate of Category II vaccines; and understand the reasons for non-vaccination and perspectives on immunization. The immunization coverage of NIPV decreased by 5.6 percentage points in the first survey, with a decline of 11.1 in the region of the incident, and decreased by 0.6 in the second survey compared to same period in 2015. The sales volume growth rate of Category II vaccines decreased by 25.8% in the study area and by 48.8% in the region of the incident in April 2016 compared to April 2015. Overall, 15.8% of respondents in the first survey and 7.0% in the second survey did not vaccinate their children according to the NIPV schedule because of the incident (χ2 = 78.463, P < 0.05). The vaccination was likely affected by the incident in varying degrees, especially in the involved region and particularly in relation to Category II vaccines. Overall, 34% of respondents avoided Category II vaccines for their children, indicating that it will take considerable time to eliminate the negative stigma associated with the incident.

Corruption in the construction industry is a serious problem in China. As such, fighting this corruption has become a priority target of the Chinese government, with the main effort being to discover and prosecute its perpetrators. This study profiles the demographic characteristics of major incidences of corruption in construction. It draws on the database of the 83 complete recorded cases of construction related corruption held by the Chinese National Bureau of Corruption Prevention. Categorical variables were drawn from the database, and \'association rule mining analysis\' was used to identify associations between variables as a means of profiling perpetrators. Such profiling may be used as predictors of future incidences of corruption, and consequently to inform policy makers in their fight against corruption. The results signal corruption within the Chinese construction industry to be correlated with age, with incidences rising as managers\' approach retirement age. Moreover, a majority of perpetrators operate within government agencies, are department deputies in direct contact with projects, and extort the greatest amounts per case from second tier cities. The relatively lengthy average 6.4-year period before cases come to public attention corroborates the view that current efforts at fighting corruption remain inadequate.

Young drug users are found to be increasingly involved in criminal justice issues. This exploratory and descriptive study aims to analyze the criminal behaviors among young Chinese drug users through a mixed methods research design. Quantitative analysis indicates that young drug users with and without a history of criminality show significant differences in terms of several features. Male drug users, particularly, those who are older, with religious beliefs, and initiated into drug use at younger age were most likely to commit crimes. Among drug users with criminal experiences, those who committed crimes prior to drug initiation have a greater likelihood of committing violent crimes. Furthermore, young drug users with severe depression are more likely to commit crimes, especially violent ones. Qualitative analysis further illustrates that young male drug users often get involved in criminal conduct of the youth gang nature with propensity for engaging in violent crimes as compared to their female counterparts who are more likely to turn into drug dealers and traffickers, in addition to engaging in larceny. The research findings are consistent with developmental theories and \"victim to offender cycle\". Integrated mental health and substance use services are suggested for crime prevention among young Chinese drug users.