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Early termination of public–private partnerships (PPPs) in China is caused by various risk factors, resulting in significant losses. This study aimed to clarify the key factors and identify the causal relationships among these factors.

Social network analysis (SNA) was used to analyze 37 risk factors that were summarized from 97 early terminated PPP cases and to identify the relationships among these key risk factors. Interpretive structural modeling (ISM) was conducted to explore the causal relationships. Data were collected from case documents, questionnaires and interviews.

A total of 17 key risk factors were identified and distributed in a hierarchical structure with six tiers. Among these key risk factors, the root causes affecting the early termination of PPP projects were government oversight in decision-making, local government transition, policy and law changes and force majeure. The direct cause was insufficient returns. Furthermore, local government and private sector defaults were essential mediating factors. Local government transition and the low willingness of the private sector were highlighted as potential key risks.

The cases and experts were all from China, and outcomes in other countries or cultures may differ from those of this study. Therefore, further studies are required.

This research provides knowledge regarding the key risk factors leading to the early termination of PPP projects and guidance on avoiding these factors and blocking the factors' transmission in the project lifecycle.

This study contributes to the knowledge of risk management by emphasizing the importance of local government transition, the low willingness of the private sector and project cooperation and operation, whose significance is ignored in the existing literature. The proposed ISM clarifies the role of risk factors in causing early termination and explains their transmission patterns.

Breast cancer (BC) presents a major public health challenge world-over including India. While several risk-factors, early signs and symptoms of BC are known, the knowledge and awareness of this disease remains poor among the population. The present study aimed to determine the extent of knowledge and awareness of BC, its risk factors, early signs and symptoms and breast self-examination (BSE) practice as an early detection method among Indian college-going female students.

The authors conducted a cross-sectional survey at a University in Delhi-NCR. Data on socio-demographic, knowledge and awareness of BC including BSE was collected using a pretested questionnaire. Chi-square test and logistic regression analysis was performed. All tests were two-sided and significance was set at p < 0.05.

A total of 866 female students participated in the study with mean age of 22.32 (±0.146) years having mean body mass index (BMI) of 21.22 (±3.52). As high as 82.1% of the participants had heard of BC but while 74.8% thought early detection is possible, 70.7% believed BC cannot be prevented. Gene mutations (60.2%) were identified as a significant risk factor, while breast pain (61.4%) was commonly recognized as a sign of BC. Only 29.8% of students ever performed BSE. Increased odds of performing BSE (OR = 3.4) was found among students who recognized gene mutations as an important BC risk factor.

Knowledge and awareness of BC including BSE among female college students were found to be below average. It is suggested that there is an urgent need for increasing BC awareness among young girls through workshops and mobile-health interventions.

This study provides new information on the level of knowledge and awareness of BC risk factors, sign and symptoms and self-examination practice among young college girls. Moreover, this study advocates the need for design and implementation of a sustainable digital health model for active population BC screening, which is not being done currently.

BC is a highly aggressive disease, which is now one of the leading causes of morbidity and mortality in India and world over. Although the knowledge of BC risk factors and its signs and symptoms have increased, the awareness of these elements among the general population at large is low and/or missing, especially in India. Furthermore, as a consequence of unorganized screening programs in the country, majority of women are presenting young with locally advanced disease. Understanding the existing level of knowledge and educating school, college and University students of the pertinent factors and screening practices such as BSE could drastically help in improving the self-screening and/or clinical examination rates. This could potentially lead to early detection and improved prognosis, thus ameliorating disease burden.

This study is one of the few studies conducted in India among young female college students belonging to non-medical backgrounds, delineating the level of knowledge and awareness of BC risk factors and signs and symptoms along with practice of early detection method such as BSE. The study has a considerable sample size and provides valuable evidence for a need to implement programs incorporating digital health models for accelerating awareness and screening of young girls in both rural and urban settings.

Predicting the imminence of high risk behaviours in in‐patients with schizophrenia is an ongoing concern. The purpose of this paper is to explore the utility, validity and reliability of an adapted early warning signs methodology for dynamic risk assessment.

Nursing staff were interviewed to identify operationally defined early warning signs of high risk behaviours. Frequency of occurrence of the early warning signs and the high risk behaviour were rated over a one week period to establish the predictive validity of the methodology.

Support was found for the reliability of staff ratings of the relevance of identified early warning signs and their occurrence within a specified time period. ROC analysis indicates some modest predictive validity in predicting aggressive risk behaviours but effect sizes were small, and there were high rates of false positive predictions.

The small sample size limits generalisability. A longitudinal prospective study to better establish the added predictive power of the method over the use of largely actuarial methods is needed.

A dynamic risk assessment methodology to assess changes in risk for inpatients would benefit both staff and inpatients. No such methodology has been assessed to date.

This paper aims to examine how project managers frame variability for categorised risk factors on enterprise resource planning (ERP) projects.

Weighting and selection of the risk factors was undertaken based on an analysis of data (using PASW17), obtained from a random sample of 307 ERP project managers working in Thailand.

The findings suggest that: framing of variability for categorised risk factors in ERP projects is not necessarily culturally bound; both “internal” and “external” risk factors did have a strong impact on ERP project success; and the impact of the degree of inter‐relationships between critical risk and success factors may influence the success of a ERP project.

The authors anticipate that the results will stimulate future research in this area as well as raise the profile of critical success factors for ERP implementation, particularly in developing countries.

The study contributes to a better understanding of the viewpoint of consultants on critical success factors for ERP implementation in the context of a developing country.

This study examines the relationships between the age at which female juvenile offenders receive their first sentencing and individual risk factors, family risk factors, and race. The individual risk factors include dropping out of school, physical abuse, sexual abuse, prostitution, substance abuse, gang involvement, poverty, pregnancy, and the existence of co‐defendants. The family risk factors include parents’ marital status, familial criminal activity, education level of parents, and receipt of public assistance. The results showed individual risk factors to have a statistically significant relationship with the dependent variable, age at first sentencing. Family risk factors did not have a statistically significant relationship to the dependent variable. Socio‐demographic risk factors were found to be statistically significant only indirectly, through the individual risk factor scale.

Children experience toxic stress if there is pronounced activation of their stress-response systems, in situations in which they do not have stable caregiving. Due to their exposure to multiple poverty-related risks, African American children may be more susceptible to exposure to toxic stress. Toxic stress affects young children’s brain and neurophysiologic functioning, which leads to a wide range of deleterious health, developmental, and mental health outcomes. Given the benefits of early care and education (ECE) for African American young children, ECE may represent a compensating experience for this group of children, and promote their positive development.

Perinatal health is a good indicator of both maternal health status and the level of socioeconomic status attained in any community. This article presents part of the findings of a research project conducted in 1997 by the author to look at the determinants of maternal and perinatal health in Kisumu district of Kenya. Data were collected from four health facilities within the district which were selected through purposive sampling to act as sentinel centres. In total, 1,455 obstetric cases were enumerated and those with perinatal complications were isolated. Perinatal health status was measured by the frequency of low birth weights, neonatal deaths, still‐births, and early neonatal morbidity. Cross‐tabulations and multivariate analysis have been used to identify the major risk factors of the perinatal health problems identified in the study area. Among other things, the study reveals that the risk of most perinatal complications is significantly increased by maternal and environmental factors. These include poor pregnancy care, malaria and anaemia during pregnancy, poor socioeconomic conditions of the mother and poor sanitary conditions in the household. Any policy measure aimed at promoting perinatal health should seek to address all these factors.

Early literacy and numeracy development among children may be the best measure of a child's well-being. The purpose of this research was to examine the impact of child factors, quality of care and household factors, and community factors in early childhood on the development of literacy and numeracy skills of children in Bangladesh.

For this study, the authors used data from Bangladesh's 2019 Multiple Indicator Cluster Survey. The association between response variables and selected covariates was examined using the chi-square test. To determine the risk factors for early child literacy and numeracy development, the authors applied two-level logistic regression models.

Among the total of under five children (n = 9,449), in general, 29.1% of the children were growing in the development early childhood literacy and numeracy in Bangladesh. Children (36–47 months), male children, children with moderate stunting, children with severe and moderate underweight status, mothers without education and primary education, and mothers from the poorest, poorer, middle and richer households were less likely than their counterparts to develop children's early literacy and numeracy skills. In contrast, women from the eastern and central regions, children who read at least 3 books, and early childhood education had higher odds of children's literacy and numeracy skills development than their counterparts.

The results from this study suggest that children's, community, quality of care and household level significant factors should be considered when trying to improve children's literacy and numeracy skills development in Bangladesh.

School bullying is an important social problem with serious consequences. Many studies suggest that involvement in bullying (as a perpetrator or a victim) is associated with undesirable short‐term effects on the physical and psychological health of children and with undesirable long‐term effects on their future psychosocial adjustment as adults. The purpose of this paper is to investigate whether bullying perpetration predicts later criminal offending and whether bullying victimization predicts later depression.

The paper analyses data from the Pittsburgh Youth Study in which 503 boys who were originally assessed at age 6‐7 years have been followed up to age 19, with yearly or half‐yearly assessments.

Bullying perpetration in one age range, according to boys and mothers, predicted delinquency (reported by boys) in a later age range, and this relationship held up after controlling for ten major risk factors measured in an earlier age range. Bullying perpetration, according to boys, was the stronger predictor of delinquency. Bullying victimization (being bullied) in one age range predicted depression (reported by boys, mothers and teachers) in a later age range, and this relationship also held up after controlling for ten earlier risk factors. Bullying victimization according to mothers was the stronger predictor of depression.

The paper provides useful evidence which leads to the conclusion that bullying perpetration is followed by an increased risk of delinquency, and that bullying victimization is followed by an increased risk of depression.

Previous research has indicated that low resting heart rate (RHR), measured at age 18, predicts later psychopathy, and that high RHR acts as a protective factor in nullifying the influence of several psychosocial risk factors in predicting later antisocial and criminal outcomes. This paper aims to investigate high RHR as a protective factor against age 8–10 psychosocial risk factors in predicting psychopathy factors at age 48 (measured by the PCL:SV).

Data collected in the Cambridge Study in Delinquent Development are analyzed. This is a prospective longitudinal study of 411 London males from age 8 to age 61.

This paper first reports the age 8–10 psychosocial risk factors that predict the interpersonal/affective Factor 1 and the lifestyle/antisocial Factor 2. Then interaction effects with high RHR are studied. The results indicate that high RHR acts as a protective factor against a convicted father and a depressed mother in predicting both psychopathy factors. It also protected against harsh discipline, large family size, low verbal IQ, high hyperactivity, poor parental supervision and a high delinquency-rate school in predicting one of these psychopathy factors, and against a convicted mother in a sensitivity analysis.

This is the first ever longitudinal study showing that high RHR acts as a protective factor in the prediction of psychopathy. The replicated results with different antisocial outcomes show that more research is warranted on the protective effects of high RHR.