Search Results (375)

Entrepreneurship is widely recognized as a critical engine of economic growth. This is especially true in rural areas, where resources, policy support, and talent pools are often constrained. Stimulating entrepreneurial vitality in these regions has thus become an urgent policy and research priority. This study adopts an inclusive growth perspective, selecting six key elements—economic level, industrial structure, financial development, educational condition, medical condition, and social security—to construct a theoretical model exploring the configuration pathways that drive rural entrepreneurial activity. Using fuzzy set qualitative comparative analysis (fsQCA), the study examines 982 rural regions in China and draws the following conclusions: (1) None of the six key elements is a necessary condition for rural entrepreneurial activity. (2) The “finance and healthcare-driven” type (C1), “industrial and educational balance” type (C2), “financial and educational synergy” type (C3), and “industrial and healthcare support” type (C4) are the configuration paths to achieve high rural entrepreneurial activity. The findings provide both theoretical and practical insights for stimulating entrepreneurship in rural China. Specifically, they highlight how different developmental configurations can activate local entrepreneurial ecosystems, expand employment and entrepreneurship opportunities for vulnerable groups, and contribute to sustainable poverty alleviation. Full article

Background: International and national policies increasingly call for person-centred approaches in disability services, yet little is known about how support intensity needs influence the allocation of resources for individuals with intellectual and developmental disabilities (IDDs). In Italy, where integrated socio-health systems operate within a human rights framework, this quantitative study investigates how individual and contextual factors shape resource use in individualized support planning. Methods: We analyzed data from 1152 adults with IDDs enrolled in 23 service centres across 13 Italian regions. Case managers developed Individualized Support Plans (ISPs) informed by the Supports Intensity Scale and socio-ecological variables. Resource use was measured as weekly counts of adaptive skills training, community participation supports, habilitation services, prosthetics, and assistive technologies. We applied multivariate count models (Sarmanov–Lee) to capture the interdependence across support types. Results: Findings show that gender and level of intellectual functioning did not significantly affect resource allocation. However, individuals with the highest support intensity needs often received fewer supports, particularly in adaptive skills and community participation. Residential settings were associated with higher levels of support provision compared to family or independent living. Assistive technologies and prosthetics were linked with more comprehensive support packages. Conclusions: While person-centred planning frameworks are being implemented, systemic inequities remain, with those at the highest levels of need at risk of receiving fewer enabling supports. Multivariate modelling provides a robust tool for understanding resource use and highlights the importance of equity-focused planning. These findings support policy and practice reforms that operationalize human rights principles and align with the UNCRPD, ensuring more inclusive and responsive systems of support. Full article

The sustainable development of the marine industry is a vital pillar for achieving global ecological balance and economic prosperity. As a crucial repository of resources and a vital regulator of climate, the ocean plays an irreplaceable role in supporting humanity’s long-term development. Against this backdrop, digital technology drives modern development, supporting decision-making and resource allocation while profoundly transforming industrial models. The resulting digital economy has become one of the core drivers of sustainable global economic growth. Given the close connection between the marine industry and the digital economy, attention has been drawn to whether a correlation exists between their respective growth rates. This study employs a Panel Vector Autoregression (PVAR) model based on panel data from China’s coastal provinces between 2012 and 2023. The empirical analysis reveals: (1) After a certain period, the growth rates of the digital economy and the quality development of the marine industry exhibit a mutually reinforcing trend. Furthermore, the innovation coupling coordination rate and the upgrading rate within the marine industry also strengthen each other, injecting endogenous momentum into the sustainable development of the marine sector. (2) When simulating external shocks through local government expenditure, it was found that while local government spending positively impacts the growth rate of the digital economy, its effect on the quality development rate of marine industries is limited, exhibiting a “single-helix” upward trend. This suggests the need to optimize the precision of policy support to better balance the coordinated sustainable development of the digital economy and marine industries. (3) The growth rate of the digital economy exerts a dual threshold effect on the quality development of marine industries. That is, there are two thresholds: 0.0099 and 0.0725. Initially, the promotion effect is relatively small with a positive and significant coefficient of 0.120. When exceeding the first threshold, the coefficient becomes 0.416, which is positively significant. When exceeding the second threshold, the promotion effect disappears. This necessitates differentiated strategies tailored to distinct developmental stages to propel marine industries toward high-quality, sustainable development empowered by the digital economy. Based on these findings, this study focuses on the relationship between the growth rates of the digital economy and marine industries, offering actionable recommendations for marine nations like China to advance high-level sustainable industrial development. Full article

The 2030 Bilingual Policy was introduced in Taiwan to strengthen citizens’ English communication skills, especially among young people, and to enhance their global competitiveness. Within Taiwan’s educational context, several challenges have emerged. In response, researchers have examined the key factors contributing to effective bilingual education, including policy implementation, bilingual instruction models, teacher professional development, and the availability of teaching resources. Despite their important role in bilingual instruction, bilingual professional learning community (BPLC) remains an underexplored topic of discussion. In particular, how BPLC can support subject teachers with limited English proficiency, a common phenomenon in Taiwan, is a question that needs further investigation. Thus, this study aims to implement a sustained BPLC to examine its functional role and influence on bilingual instructional transformation among teachers with limited English proficiency. The study draws on classroom observation notes, BPLC discussions, and interview data collected from fall 2024 to summer 2025. The findings show that regular classroom observations and bilingual professional conversation meetings benefit teachers across various areas, including classroom management, lesson planning, and language development. The BPLC provides real-time feedback and long-term developmental guidance, thereby facilitating more effective bilingual instruction. To conclude, this study contributes to the understanding of the dynamic relationship between bilingual instruction and BPLC. It also offers insights into how BPLC can support teachers with limited English proficiency in various ways. Full article

Artificial Intelligence is reshaping social, political, economic, and cultural life, yet its developmental value in the Global South remains contingent on governance, participation, and design choices. This study develops and validates a data-driven framework that aligns Artificial Intelligence with inclusive development across four interdependent dimensions like access, agency, accountability, and adaptation using a mixed-method, sequential explanatory design that integrates large-sample surveys, qualitative interviews and observations, and participatory workshops across six urban, peri-urban, and rural sites (total $n=1920$). Measurement development followed best practices in item generation, content validity, cognitive interviewing, piloting, and psychometric evaluation; exploratory factor analysis and confirmatory factor analysis supported a four-factor structure with satisfactory reliability and convergent discriminant validity. Structural equation modeling indicated that access and adaptation are the strongest predictors of service reach and time efficiency, whereas agency and accountability are most closely associated with grievance resolution and reductions in reported harms; these relations were strong across subgroups and alternative specifications. Qualitative integration clarified mechanisms that map onto the quantitative signals, including infrastructural precarity that constrains reach, contestability gaps that limit remedy, and locally responsive design features that reduce transaction costs. The framework translates normative commitments into measurable levers for policy and practice: investments that prioritize access and adaptation expand reach and efficiency, while strengthening agency and accountability enhances remedy and safety. Embedding the four dimensions into diagnostics, procurement, audit, and performance management offers a practical pathway to make Artificial Intelligence inclusive by default in diverse low-resource settings. Full article

The COVID-19 pandemic introduced profound and rapid disruptions to family life, particularly affecting parents through altered routines, economic instability, and reduced access to childcare and social support. This study investigates the cascading effects of these stressors on parent–child relationships and their influence on children’s mental and physical well-being. Drawing on a U.S. based national sample, findings reveal that parental daily routine disruptions were significantly associated with adverse child outcomes. The quality of the parent–child relationship emerged as a central mediating factor, fully mediating mental health outcomes and partially mediating physical health impacts. While parental anxiety was a factor, its mediating impact was less pronounced. After peaking in 2020, modest improvements were observed by the end of 2022, yet residual stress and incomplete recovery highlight the enduring psychological impact of the pandemic. These results underscore the importance of strengthening parent–child relationships and alleviating parental burdens during public health crises. Effective policy responses should integrate mental health resources, flexible employment options, and parenting-focused programs that reinforce family stability and developmental outcomes. Full article

Stuttering, a complex and multifactorial speech disorder, has long presented an enigma regarding its etiology. While earlier approaches often emphasized psychosocial influences, historical clinical and speech-language strategies have considered multiple contributing factors. By integrating genomic, transcriptomic and phenomic evidence, the ongoing research illustrates how functional genomics can unravel the biological architecture of complex speech disorders. In particular, advances in omic technologies have unequivocally positioned genetics and underlying biological pathways at the forefront of stuttering research. I have experienced stuttering and lived with it since my early childhood. This perspective article presents findings from omic studies, highlighting relevant aspects such as gene discoveries, implicated cellular mechanisms, and the intricate genetic architecture of developmental stuttering. As a person who stutters, I offer an intimate perspective on how these scientific insights are not merely academic but profoundly impactful for the affected community. A multi-omic integration strategy, combining large-scale genetic discovery with deep phenotyping and functional validation, is advocated to accelerate understanding in this field. Additionally, a bibliometric analysis using an international database was conducted to map trends and identify directions in stuttering research within the omic context. Ultimately, these scientific endeavors hold the potential to inform not only personalized interventions but also critical policy and regulatory changes, enhancing accessibility, support, and the recognized rights of people who stutter. Full article

Background: Adolescence is a critical period of rapid physical and psychological change, yet it is also when many health and well-being problems first emerge, often setting limits on lifelong opportunities and achievements as youth transition into adulthood. The ground-breaking adverse childhood experiences (ACEs) study has significantly shaped the development of programs and policies aimed at fostering adolescent health. Nonetheless, there has been limited exploration into the heterogeneity among individuals experiencing a high number of ACEs, such as four or more. This study employs Latent Profile Analysis (LPA) to examine the diverse outcome profiles of adolescents who have been exposed to a substantial number of ACEs. Method: The data were from participants who experienced at least four ACEs by age 9 in the Future of Families and Child Wellbeing Study (N = 1427; 54% male; 59% Black; 15.3% Hispanic; 2.4% other). We applied LPA using the manual three-step method within Mplus 8 to establish profiles based on six developmental indicators at age 15. These indicators included optimism, perseverance, academic performance, internalizing and externalizing behavioral competence, and social skills. The full information maximum likelihood method was used to handle missing data. Results: The study identified three distinct profile groups according to model fit indices and interpretability: Multidimensional Competence Group (61.0%), Low Personality and Social Competence Group (23.8%), and Low Behavioral Competence Group (15.2%). Racial and ethnic backgrounds were significant predictors of membership in these different profile groups. Conclusions: In a research landscape often focused on the cumulative harm of ACEs, our study underscores the heterogeneity of trauma profiles among adolescents with substantial ACE exposure. Given that adolescence is a critical stage when health and well-being challenges emerge, tailored early interventions are important to supporting a successful transition into adulthood. We advocate for the importance of comprehensive screening for social-cognitive and behavioral health difficulties in trauma-affected youth, enabling practitioners to implement timely prevention strategies and tailored interventions that foster resilience and long-term well-being. Full article

Environmental stressors during the crucial period of fetal development can have a substantial impact on long-term health outcomes. A major concern is dietary exposure to endocrine-disrupting chemicals (EDCs), which can readily cross the placenta and disrupt fetal hormonal signaling and developmental programming. Examples of these chemicals include bisphenols, phthalates, pesticides, and persistent organic pollutants (POPs). Prenatal exposure to EDC has been associated with long-term effects in children, including immune disruption, metabolic dysregulation, impaired neurodevelopment, and reproductive alterations, as evidenced by human cohort studies and experimental models. Epigenetic reprogramming, direct interference with endocrine signaling, and oxidative stress (OS) are hypothesized pathways for these adverse consequences, which often combine to produce long-lasting physiological changes. This narrative review summarizes current research on maternal dietary exposure to EDCs during pregnancy, highlighting associations with adverse child health outcomes. It also discusses the growing evidence of transgenerational effects, the potential mechanisms linking prenatal exposure to long-term outcomes, and the importance of understanding the roles of timing, dosage, and chemical type. By highlighting the necessity of focused interventions to lower maternal EDC exposure and lessen threats to the health of offspring, the review concludes by discussing implications for future research, preventive measures, and public health policy. Full article

Background/Objectives: Antimicrobial resistance (AMR) is a major global health threat, with children at higher risk due to developmental differences in drug metabolism, limited treatment options and inappropriate antibiotic use. Pediatric antimicrobial stewardship programs (ASPs) face implementation challenges, often relying on adult-based guidelines and limited pediatric-specific evidence. This study aimed to identify and prioritize the most critical areas for pediatric ASP intervention development through a structured, multi-round Delphi consensus process with experts in antimicrobial stewardship and infectious diseases. Method: A four-round modified Delphi process was conducted to identify and prioritize key pediatric ASP interventions. Experts in antimicrobial stewardship and infectious diseases were recruited through an existing clinical trial. Using an iterative survey and in-person discussions, experts provided input on priority areas, which were thematically grouped and refined across rounds. Structured feedback supported real-time refinement and consensus-building. Results: Twenty experts participated in the process, generating 25 priority items in Round 1 through open-ended responses. These were narrowed to seven key priorities through structured voting and discussion. The final items were clustered into three intersecting themes: Care Settings, Prescriptions, and Strategies. Care Settings focused on high-impact areas such as outpatient clinics and intensive care units, where misuse is common and/or care is complex. The prescriptions theme prioritized shorter durations and narrow-spectrum agents. The strategy theme highlighted the need for outcome-based metrics, improved diagnostic stewardship, and routine tracking of patient outcomes to guide and assess stewardship efforts. Conclusions: This expert consensus identified key priorities for pediatric ASPs, providing a foundation for future interventions. Findings can be used to inform policy and practice, improving the appropriate use of antimicrobials in pediatrics and combating AMR. Full article

This paper presents the first exploration of young carers in early childhood (YCEC), in the context of whole family support, through the application of the Power Threat Meaning Framework (PTMF). Existing contributions to young carer research have shaped social policy, legislation, and practice concerned with whole family approaches to the identification, assessment, and support for young carers globally. To date, the literature has predominantly focused on young carers in middle childhood to young adulthood, contributing to socially constructed Eurocentric ideologies of who young carers are likely to be. As such, YCEC remain disempowered in broader young carer and family science discourse. This qualitative exploration centers upon the experiences of three families. Primary data collated retrospective accounts of two adult siblings supported by documentary data obtained by participants through a subject access request (SAR). Secondary data derived from two case studies, drawn from the lead author’s master’s dissertation, offering experiences of families each with a young carer aged four years old. Participants lived in England, United Kingdom (UK). Deductive analysis utilized dual methodological approaches, offering nuanced insight. Thematic codes were synthesized into predetermined themes. ‘Power,’ ‘threat,’ ‘meaning,’ ‘threat responses,’ and ‘strengths’ to explore the application of the PTMF beyond individual experience. Findings show systemic and structural powers held within the lives of YCEC. This disempowers the ethos of whole family support, which should serve to endorse integrated working and foster the autonomous functioning of family life. Findings consider threats, worsening vulnerabilities, and exposure to harm. Meaning is deduced from findings offering recommendations for future research, practice, and policy decisions. In conclusion, opportunities for the prevention of inappropriate caring roles, early identification, and intervention have been missed. This study adds to the growing exploration of the PTMF. It harnesses its potential application as a holistic assessment tool and qualitative data analysis framework, helping to bridge structural and developmental viewpoints which typically frame the current understanding of family functioning and related social policy. Full article

With buildings accounting for 40% of global energy consumption, heating, ventilation, and air conditioning (HVAC) systems represent the single largest opportunity for emissions reduction, consuming up to 60% of commercial building energy while maintaining occupant comfort. This critical balance between energy efficiency and human comfort has traditionally relied on rule-based and model predictive control strategies. Given the multi-objective nature and complexity of modern HVAC systems, these approaches fall short in satisfying both objectives. Recently, reinforcement learning (RL) has emerged as a method capable of learning optimal control policies directly from system interactions without requiring explicit models. However, standard RL approaches frequently violate comfort constraints during exploration, making them unsuitable for real-world deployment where occupant comfort cannot be compromised. This paper addresses two fundamental challenges in HVAC control: the difficulty of constrained optimization in RL and the challenge of defining appropriate comfort constraints across diverse conditions. We adopt a safe RL with a neural barrier certificate framework that (1) transforms the constrained HVAC problem into an unconstrained optimization and (2) constructs these certificates in a data-driven manner using neural networks, adapting to building-specific comfort patterns without manual threshold setting. This approach enables the agent to almost guarantee solutions that improve energy efficiency and ensure defined comfort limits. We validate our approach through seven experiments spanning residential and commercial buildings, from single-zone heat pump control to five-zone variable air volume (VAV) systems. Our safe RL framework achieves energy reduction compared to baseline operation while maintaining higher comfort compliance than unconstrained RL. The data-driven barrier construction discovers building-specific comfort patterns, enabling context-aware optimization impossible with fixed thresholds. While neural approximation prevents absolute safety guarantees, reducing catastrophic safety failures compared to unconstrained RL while maintaining adaptability positions this approach as a developmental bridge between RL theory and real-world building automation, though the considerable gap in both safety and energy performance relative to rule-based control indicates the method requires substantial improvement for practical deployment. Full article

Many policy recommendations state that children aged 2 to 5 should not spend more than an hour per day in front of a screen; however, these recommendations are challenged as technology use becomes more mobile and accessible to young children. Background/Objectives: The goal of this study is to examine the relationship between children’s and parents’ mobile media use (i.e., smartphones and tablets) and children’s developmental milestones, including their fine motor, gross motor, and personal social skills. Methods: Data for this study comes from two child development centers in the southwestern United States, one serving predominantly middle class families and another serving low-income families (N = 63). Parents completed online surveys regarding their own and their children’s social media use by uploading screenshots of their own and their children’s mobile media device (if applicable) over the last 24 h. Parents identified how many minutes they spent using social media, how many minutes their child spent using social media, and how many minutes their child spent watching television. To capture children’s developmental milestones, parents completed the ages and stages questionnaire (ASQ3), which measures children’s fine motor skills, gross motor skills, and social skills. Results: Correlation and regression analyses revealed that parent mobile media use was positively associated with children’s gross motor and personal social skills (B = 0.38 and 0.32, respectively, p < 0.05; R² = 0.09–0.19) and children’s television viewing was negatively associated with children’s gross motor skills (B = −0.30, p < 0.05). Conclusions: Children’s mobile media may have different consequences for children’s developmental milestones compared to television, and parents’ mobile media use may be more associated with children’s developmental milestones than children’s own use of these devices. Full article

Background/Objectives: This study examines the associations between household socioeconomic status (SES), child nutrition, and developmental status among children aged 24–59 months in the Mont Ngafula health zone in Kinshasa. The primary research question focuses on how SES and stunting affect developmental outcomes in early childhood. Methods: A cross-sectional analysis was conducted involving 348 children, assessing developmental outcomes using the Early Childhood Development Index (ECDI2030). Results: The study found that 70.4% of children were classified as on track, with ONTRACK prevalence increasing across SES tertiles. Children who attended preschool education had higher odds of being on track. The rich tertile had higher odds of being on track than those in the poor tertile, while the middle tertile showed a weaker association. Child age categories and stunting were inversely associated with being developmentally on track. The results are consistent with multiple imputation sensitivity analyses. Conclusions: The study concludes that preschool attendance and a higher household socioeconomic position are strongly associated with better early developmental outcomes, while an age of 48–59 months and stunting are associated with a markedly lower likelihood of being developmentally on track. Integrated policies that reduce household poverty, promote early education, and prevent/treat early faltering growth could improve early childhood developmental trajectories. Full article

Background/Objectives: Leisure participation is vital for children’s development and family inclusion, yet families of children with developmental delays and disabilities face significant barriers. Guided by a health literacy framework, this study examined how personal and organizational health literacy shape access to inclusive leisure opportunities. Methods: Semi-structured interviews were conducted with 14 caregivers of young children (aged 2 to 6 years) with developmental delays and disabilities. A qualitative content analysis was applied to identify family and environmental factors shaping leisure participation. Results: Families with stronger personal health literacy engaged in diverse leisure activities, prioritizing children’s development through park visits and structured home routines. In contrast, weak organizational health literacy—reflected in limited inclusive facilities and support systems—restricted opportunities, increased caregiver stress, and forced adaptations such as traveling farther or rescheduling activities. These barriers underscored families’ vulnerability to exclusion while also highlighting their resilience in navigating daily life. Conclusions: This study demonstrates that health literacy functions at both personal and organizational levels to shape leisure participation. Beyond identifying barriers, it shows that leisure is intertwined with developmental needs and school readiness. By applying a health literacy lens, the study contributes to understanding family dynamics in inclusive leisure and underscores the need for responsive community services and inclusive policies. Full article