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This paper aims to understand the maternal health vulnerabilities of migrant women in slums and explore their challenges during and after childbirth.

The study used a qualitative approach, including in-depth interviews through purposive and snowball sampling techniques. Thematic analysis was used for analysing data. The consolidated criteria for reporting qualitative studies (COREQ)-32 items were followed for reporting this study.

The study found that migrant women were highly susceptible to adverse birthing outcomes due to risks involved in birthing, lack of care and hygiene, lack of skilled care in dealing with complicated pregnancies and exposure to domestic and obstetric violence.

The study intends to highlight the narratives of female migrants’ birthing and maternal health challenges. The entire process of childbirth in slums with consequences can result in maternal and infant morbidities and mortalities.

This study aims to determine the prevalence and predictors of postpartum depression (PPD) among nursing mothers in Nsukka, Nigeria.

This study was a descriptive cross-sectional survey among nursing mothers in three hospitals in Nsukka, Nigeria. Data was collected using a self-administered Edinburgh Postpartum Depression Scale (EPDS) and sociodemographic form. The data obtained were analyzed using descriptive statistics, chi-square test and binary logistic regression.

A total of 270 nursing mothers participated in this survey, giving a response rate of 94.4%. The prevalence of PPD among the study group was 20.0%. However, women who did not have complications during childbirth were about two times (AOR = 0.417, 95% CI = 0.204, 0.852, P = 0.016) less likely to develop symptoms of PPD than women who experienced birth complications. In addition, women who had poor relationships with their partners have approximately seven times (AOR = 6.994, 95% CI = 1.110, 44.059, P = 0.038) higher odds of developing PPD compared with those women who had excellent relationships with their partners.

The sample size was small, hence, might limit the generalizability of its findings beyond the study group. Health-care practitioners should provide appropriate interventions to women at a higher risk of developing PPD on the need to maintain a healthy and supportive relationship with their partners.

This study provides unique insight into PPD among nursing mothers and its determinants from a different regional, socioeconomic, societal expectations, social support system, access to health care and cultural context.

Parenting programmes are increasingly a feature of services and policies aimed at improving outcomes for children and families and tackling inequality, yet they remain underused. This study aims to assess parent engagement and retention in the parent and infant (PIN) programme – a universal, multi-component intervention designed to support parents from birth to when their children reach two years of age. The programme can be tailored to parent/community needs but also includes standardised core elements including two Incredible Years parenting programmes. Programme provider perspectives on recruiting and supporting participation were also explored.

A mixed methods study was conducted involving parents (n = 106) and programme providers involved in the PIN programme. Logistic regression analyses were used to assess the impact of participant demographic characteristics on the likelihood of programme engagement and attendance. Semi-structured interviews explored facilitators’ experiences of parent recruitment and engagement, as well as barriers and facilitators of parental attendance.

First-time mothers were more likely to initially enrol in the PIN programme than younger or lone parents. However, older age and married/cohabiting status were the strongest predictors of attending at least one-third of programme sessions. Qualitative findings highlighted the importance of relationship building and connection in supporting participant recruitment and engagement. Practical and psychological barriers to programme participation are also described.

The findings shed light on factors that influence engagement and attendance in universal, early parent support programmes. Barriers to parent engagement are multi-layered and tailored strategies to promote uptake of parenting programmes are needed.

Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs.

The paper identifies, based on the literature, two “drivers of aggregation” of IE's actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases.

Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk.

Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue-Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors' development on-site; in Hub- and Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE's enlargement and resilience.

This study aims to examine Braille usage among consumers with visual impairments, investigating motivations and addressing inherent challenges.

Drawing insights from 16 semistructured interviews with individuals experiencing blindness, this study reveals nuanced aspects of Braille utilization.

Three key motivations for Braille usage are identified: as a coping mechanism for functional needs and to combat stigma; as an embodied experience contributing to pleasure; and as a heritage embodying a culture of visual impairment. Obstacles include cultural and financial barriers to learning, incomplete retail transcriptions limiting practicality and spatial congestion issues.

This study underscores Braille’s dual function as both coping mechanism and cultural heritage. By highlighting obstacles, it sheds light on challenges faced by consumers with visual impairments, facilitating advocacy and promoting inclusive retail practices. Originality lies in recognizing diverse motivations and experiences among Braille users, offering insights for enhancing tactile engagement in the marketplace.

It is of a great significance for the health monitoring of a liquid rocket engine to build an accurate and reliable fault prediction model. The thrust of a liquid rocket engine is an important indicator for its health monitoring. By predicting the changing value of the thrust, it can be judged whether the engine will fail at a certain time. However, the thrust is affected by various factors, and it is difficult to establish an accurate mathematical model. Thus, this study uses a mixture non-parametric regression prediction model to establish the model of the thrust for the health monitoring of a liquid rocket engine.

This study analyzes the characteristics of the least squares support vector regression (LS-SVR) machine . LS-SVR is suitable to model on the small samples and high dimensional data, but the performance of LS-SVR is greatly affected by its key parameters. Thus, this study implements the advanced intelligent algorithm, the real double-chain coding target gradient quantum genetic algorithm (DCQGA), to optimize these parameters, and the regression prediction model LSSVRDCQGA is proposed. Then the proposed model is used to model the thrust of a liquid rocket engine.

The simulation results show that: the average relative error (ARE) on the test samples is 0.37% when using LS-SVR, but it is 0.3186% when using LSSVRDCQGA on the same samples.

The proposed model of LSSVRDCQGA in this study is effective to the fault prediction on the small sample and multidimensional data, and has a certain promotion.

The original contribution of this study is to establish a mixture non-parametric regression prediction model of LSSVRDCQGA and properly resolve the problem of the health monitoring of a liquid rocket engine along with modeling the thrust of the engine by using LSSVRDCQGA.

The purpose of this article is to better understand the relevance of value creation in the interconnection amongst entrepreneurship, marketing and innovation by reviewing the literature.

The authors employed a systematic review methodology using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol to analyse the literature in depth. The articles were selected from the Scopus database and dated from 1987 to 2021. An initial total of 1,158 articles was successively narrowed down to a final list of 123 papers matching the selection criteria. Moreover, content analysis on the sample was performed to explore and analyse whether value creation directly or indirectly appears as a goal or antecedent amongst entrepreneurship, marketing and innovation.

The findings suggest that the literature does not clearly define the topic linkage, and with the authors' results, the authors provide a comprehensive mapping of the contributions to a theoretical framework that synthesises knowledge. Moreover, the authors highlight that the interconnection between marketing and entrepreneurship, i.e. entrepreneurial marketing, requires an innovative approach for satisfying customer needs and creating value. Co-occurrence analysis of the keywords also allowed to identify four clusters that were open to new research streams.

Entrepreneurship, marketing and innovation are recognised research topics in the business and management literature. However, prior research has not provided clear and comprehensive evidence about how these three research topics are linked to each other. This work analyses the hidden relationship amongst them.

The protective aspects of relationships for health have been extensively studied. Here, we assess whether different dimensions of partnership status at the time of a child’s birth are associated with better self-assessed health later in mid-life. Data are from three countries with different social welfare policies relating to union status and parenting: the US, the UK, and Norway. Results indicate that women who were partnered at first birth had better health at midlife in all three countries than women who were unpartnered. The analysis indicates no differences in the mid-life health of Norwegian women who were married or cohabiting at birth, whereas for US and UK women, being married at the birth of a first child is more beneficial for mid-life health than bearing the child in a cohabiting union. In the US, women who are least likely to marry do not demonstrate better mid-life health if they had wed relative to cohabiting. In the UK, in contrast, the women least likely to be married at the birth experience better returns if they marry. These findings highlight the importance of paying closer attention to heterogeneous treatment effects as they relate to childbearing, relationship status, and mid-life health.

This paper analyses how firm births and deaths are influenced by previous firm births and deaths in related and unrelated sectors. Competition and multiplier effects are used as the theoretical lens for this analysis.

This paper uses 2008–2016 Irish business demography data pertaining to 568 NACE 4-digit sectors within 20 NACE 1-digit industries across 34 Irish county and sub-county regions within 8 NUTS3 regions. A three-stage least squares (3SLS) estimation is used to analyse the impact of past firm deaths (births) on future firm births (deaths). The effect of relatedness on firm interrelationships is explicitly modelled and captured.

Findings indicate that the multiplier effect operates mostly through related sectors, while the competition effect operates mostly through unrelated sectors.

This paper's findings show that firm interrelationships are significantly influenced by the degree of relatedness between firms. The raw data used to calculate firm birth and death rates in this analysis are count data. Each new firm is measured the same as another regardless of differing features like size. Some research has shown that smaller firms have a greater propensity to create entrepreneurs (Parker, 2009). Thus, it is possible that the death of differently sized firms may contribute differently to multiplier effects where births induce further births. Future research could seek to examine this.

These findings have implications for policy initiatives concerned with increasing entrepreneurship. Some express concerns that public investment into entrepreneurship can lead to “crowding out” effects (Cumming and Johan, 2019), meaning that public investment into entrepreneurship could displace or reduce private investment into entrepreneurship (Audretsch and Fiedler, 2023; Zikou et al., 2017). This study’s findings indicate that using public investment to increase firm births could increase future firm births in related and unrelated sectors. However, more negative “crowding out” effects may also occur in unrelated sectors, meaning that public investment which stimulates firm births in a certain sector could induce firm deaths and crowd out entrepreneurship in unrelated sectors.

This paper is the first in the literature to explicitly account for the role of relatedness in firm interrelationships.