Search Results (11,128)

Social workers and public health professionals are expected to collaborate in promoting health and social equity to address the complex challenges faced by societies now and in the future. This collaboration is particularly crucial in low-income countries, where social and health issues significantly affect people’s wellbeing. This study explored social workers’ perceptions of their role in society, their collaboration with public health professionals, and the importance of sustainable development in their professional practice. An exploratory qualitative study was conducted between March and June 2024, involving semi-structured interviews with twelve professional social workers from the three main geographic regions of Mozambique (north, central, and south). Content analysis was used to identify and synthesize the key categories that emerged from the data. Four main categories were identified: limited public understanding of the mission and practice of social work; a lack of collaboration with public health professionals; the integration of sustainable development goals into social work practice; and anticipated future challenges for Mozambique’s social and public health sectors. The findings highlight a perceived lack of societal awareness regarding the role of social workers and limited interprofessional collaboration, with barriers such as poor communication and a lack of mutual understanding between the two professions. Moreover, the participants recognized the need to contribute, through their daily work alongside public health professionals, to the achievement of the Sustainable Development Goals. Full article

Objectives: This study sought to understand dietary behaviors among US Muslim people with Type 2 diabetes while managing diabetes and fasting during Ramadan, identify key psychosocial factors influencing behaviors, and examine how identified factors influence diet behaviors and health outcomes from the patient’s perspective. Methods: The study employed community-engaged research principles and qualitative research design. Twenty-two adult Muslim adults living with Type 2 diabetes for over 6 months participated in semi-structured one-on-one interviews. Participants were recruited from five US communities using purposive sampling. Three trained researchers used abductive coding, combining deductive and inductive approaches, to analyze the data. Results: Six main themes emerged from the data: (1) changes in dietary habits during Ramadan; (2) strong influence of religious, cultural and social practices on dietary behaviors; (3) variable self-efficacy in managing dietary behaviors; (4) impact of prior habits and current blood glucose status; (5) decision-making based on diabetes-related health outcomes (e.g., experiencing low blood sugar); (6) participants’ perception of Ramadan as an opportunity for sustainable behavioral changes. Conclusions: This study is among the first to document the dietary behaviors and key psychosocial factors influencing dietary behaviors and health outcomes for US Muslim people with Type 2 diabetes during Ramadan. The study suggests that interventions to improve diabetes control and promote diabetes remission among Muslims can benefit from cultural tailoring that draws on Ramadan religious, cultural and social practices to encourage sustainable behavioral change. Full article

Background: Lower limb amputation (LLA), due to non-traumatic causes such as vascular diseases and diabetes, significantly impacts patients’ physical, psychological, and social well-being. While multidisciplinary rehabilitation programs commonly address physical and functional recovery, psychological and subjective experiences related to limb loss remain less explored. Thus, this preliminary study aimed to investigate the psychological and behavioral adaptation processes in patients undergoing rehabilitation following lower limb amputation. Methods: A preliminary observational study with a mixed-method approach based on quantitative and qualitative data triangulation was conducted. This approach involves integrating multiple data sources and methodologies—in this case, quantitative psychometric measures and qualitative interviews via the prospective of amputees and those who use prostheses—to enhance the validity and depth of the research findings. Results: Fourteen inpatient amputees and fourteen inpatient prosthesis users (years: 66.6 ± 2.5 for amputee and 61.5 ± 1.9 for prosthesis users, male amputees: 85.7%, male prosthesis users: 100%) of a research hospital in the North of Italy were assessed using validated psychometric tools (GAD-7, PHQ-9, PID-5-BF, BIS, ASonA) alongside semi-structured interviews analyzed through the Interpretive Description approach. Key themes highlighted illness acceptance, prosthesis adaptation, body image, medication and behavioral adherence, anxiety, depression, quality of life, denial, optimism, and social support. Overall, anxiety–depressive symptomatology tended to decrease with the prosthesis, and pharmacological and behavioral adherence improved, as did the disease acceptance. Body image was fairly preserved in all patients despite some fears of others’ judgment with respect to the prosthesis. Interestingly, there was poor agreement between quantitative and qualitative data in both the amputee’ and prosthesis users’ groups: while the former returned a partial and neutral picture, a more multifaceted picture emerged from the interviews collected. Conclusions: These findings underline the importance of integrating quantitative psychometric evaluations with qualitative methods to comprehensively understand patients’ adaptive experiences. Such combined insights are essential to inform tailored psychological interventions throughout the rehabilitation journey. Full article

Promoting children’s rights in early childhood education is internationally recognised as a priority, yet its practical implementation remains challenging. This qualitative study explored the perceptions of three early childhood educators in northern Portugal regarding children’s rights and how these are reflected in their practices. Guided by an interpretive paradigm, the study sought to understand participants’ beliefs through semi-structured interviews, conducted with full ethical compliance, including informed consent, withdrawal rights, and anonymity. Data were analysed using MAXQDA, through an inductively generated coding system. Findings indicate that educators acknowledge their vital role in upholding children’s rights and in fostering respectful learning environments. However, significant gaps were found in the realisation of the right to participation, with tensions between educators’ stated values and their described practices—particularly regarding children’s involvement in decision-making. A prevailing emphasis on protection often limited children’s autonomy and agency. The study highlights the complexities of translating policy frameworks, such as Portuguese legislation and the UNCRC, into consistent pedagogical action. Despite its small sample size, the study offers valuable insights into the barriers to implementing a rights-based pedagogy and underscores the need for enhanced educator training, active listening practices, and the recognition of play as a fundamental right. Full article

Several experimental and numerical studies have been conducted on the towing behavior of floating offshore wind turbines (FOWTs); however, these studies mainly focus on tension-leg platform (TLP) and semi-submersible designs with cylindrical features. The University of Maine’s VolturnUS+ concept is a cruciform-shaped barge-type FOWT with distinctive hydrodynamic properties that have not been characterized in previous research. This study presents basin-scale experiments that characterize the hydrodynamic drag properties of the VolturnUS+ platform, as well as observing the motion behavior of the platform and added resistance during towing in calm water and waves. The towing experiments are conducted in two towing configurations, with differing platform orientations and towline designs. The basin experiments are supplemented with a numerical study using computational fluid dynamic (CFD) simulations to explore flow-induced motion (FIM) on the platform during towing. In both the experiments and the CFD simulations, it was determined that the towing configuration significantly impacted the drag and motion characteristics of the platform, with the cruciform shape producing FIM phenomena. Observations from the towing tests confirmed the feasibility of towing the VolturnUS+ platform in the two orientations. The results and observations developed from the experimental and numerical towing studies will be used to inform numerical models for planning towing operations, as well as develop informed recommendations for towing similar cruciform-shaped structures in the future. Full article

The Windrush Generation (WG) and their descendants continue to experience adversity in the UK, including racism and the Windrush Scandal, with such adversities absent from psychological research literature. Intergenerational trauma is a psychological concept explaining that adverse experiences can be transmitted from one generation to impact subsequent generations. There has been limited consideration of the ongoing impact of adverse experiences that span multiple generations, such as experiences of racism within Western Europe. This paper utilised a narrative research design to study the narratives of members of the WG and those of their descendants in the UK. Eight expert by experience co-researchers were involved in developing the project from design through to dissemination. Eight participants, including four members of the WG and four descendants, completed semi-structured interviews in which they told stories in the context of Windrush. These stories were analysed utilising a narrative analysis framework, looking at content, structure and performance. Collective trauma and racism were apparent in the stories told, yet tended not to be spoken about by the WG to subsequent generations. Instead, emphasis was given to communicating strength and resistance. Implications for policy, healthcare and supporting communities to heal through narrative and liberation practices are discussed. Full article

This paper investigates the application of image segmentation techniques in endodontics, focusing on improving diagnostic accuracy and achieving faster segmentation by delineating specific dental regions such as teeth and root canals. Deep learning architectures, notably 3D U-Net and GANs, have advanced the image segmentation process for dental structures, supporting more precise dental procedures. However, challenges like the demand for extensive labeled datasets and ensuring model generalizability remain. Two semi-automatic segmentation workflows, Grow From Seeds (GFS) and Watershed (WS), were developed to provide quicker acquisition of ground truth training data for deep learning models using 3D Slicer software version 5.8.1. These workflows were evaluated against a manual segmentation benchmark and a recent dental segmentation automated tool on three separate datasets. The evaluations were performed by the overall shapes of a maxillary central incisor and a maxillary second molar and by the region of the root canal of both teeth. Results from Kruskal–Wallis and Nemenyi tests indicated that the semi-automated workflows, more often than not, were not statistically different from the manual benchmark based on dice coefficient similarity, while the automated method consistently provided significantly different 3D models from their manual counterparts. The study also explores the benefits of labor reduction and time savings achieved by the semi-automated methods. Full article

In manufacturing settings where humans and machines collaborate, understanding and predicting human intention is crucial for enabling the seamless execution of tasks. This knowledge is the basis for creating an intelligent, symbiotic, and collaborative environment. However, current foundation models often fall short in directly anticipating complex tasks and producing contextually appropriate motion. This paper proposes a modular framework that investigates strategies for structuring task knowledge and engineering context-rich prompts to guide Vision–Language Models in understanding and predicting human intention in semi-structured environments. Our evaluation, conducted across three use cases of varying complexity, reveals a critical tradeoff between prediction accuracy and latency. We demonstrate that a Rolling Context Window strategy, which uses a history of frames and the previously predicted state, achieves a strong balance of performance and efficiency. This approach significantly outperforms single-image inputs and computationally expensive in-context learning methods. Furthermore, incorporating egocentric video views yields a substantial 10.7% performance increase in complex tasks. For short-term motion forecasting, we show that the accuracy of joint position estimates is enhanced by using historical pose, gaze data, and in-context examples. Full article

Across the Middle East, gated communities have become a defining feature of contemporary urban development, raising urgent questions about spatial inequality, public access, and social cohesion. This study examines the socio-spatial impacts of these developments by combining qualitative perceptions from regional expert interviews with in-depth analysis of two case studies in Jordan: Al Andalucía and Green Land. Drawing on semi-structured interviews with urban planners, architects, and policy experts from Egypt, Jordan, Saudi Arabia, and the United Arab Emirates, the study employs thematic analysis to investigate expert perspectives on gated communities as a regional planning phenomenon. Findings reveal four dominant themes: (1) gated communities intensify spatial fragmentation and disconnection from surrounding urban fabric; (2) private sector dominance leads to unregulated, market-driven development that weakens strategic urban planning; (3) the erosion of inclusive public space and social cohesion is widely perceived as a social cost; and (4) gated living is framed as an aspirational lifestyle associated with security, prestige, and socio-economic distinction. The article concludes by calling for more inclusive urban policies that balance private development with inclusive planning strategies to mitigate the long-term impacts of fragmentation and exclusivity in Middle Eastern cities. Full article

This study examines digital hospitality as a socio-technical system in which technological adoption and human resource (HR) practices jointly shape guest experiences and workforce dynamics. The research is situated at CitizenM hotels in Paris, a brand recognized for its integration of mobile applications, automated check-in, and the ambassador model of flexible role design. A mixed-methods approach was applied, combining a guest survey (n = 517) with semi-structured interviews with managers. Exploratory and confirmatory factor analyses confirmed a five-factor structure of guest perceptions: Digital Efficiency, Smart Personalization, Service Satisfaction, Trusted Security, and Digital Loyalty. Structural equation modeling showed that efficiency significantly drives satisfaction, while personalization and security strongly predict loyalty. Managerial insights revealed that these outcomes rely on continuous investment in training, mentorship, and flexible role allocation. Overall, the findings suggest that digital transformation enhances value creation not by substituting but by reconfiguring human service, with technology alleviating routine tasks and enabling employees to focus on relational and creative aspects of hospitality. The study concludes that effective digital hospitality requires the alignment of technological innovation with supportive HR practices, ensuring both guest satisfaction and employee motivation. Full article

The intersection of autism and motherhood/parenthood remains largely underexplored, particularly within the Spanish context. Autistic mothers and birthing parents are often silenced, with limited representation and scarce accessible information, contributing to a broader social and institutional unawareness. This study explores the postpartum experiences of autistic and non-autistic mothers during the first two years following childbirth. Twelve semi-structured interviews were conducted with six autistic and six non-autistic mothers and analyzed using Reflexive Thematic Analysis. Three key themes were constructed, as follows: (1) Ups and Downs: Navigating Emotional and Sensory Experiences, highlighting the intense sensory and emotional load of early motherhood; (2) Lack of Information and Support: The Root of Increased Vulnerability, addressing gaps in institutional support and knowledge; and (3) The Social Dimensions of Early Postpartum: Tensions and Expectations, focusing on family and societal pressures as well as identity struggles. While experiences overlapped in several areas, two tentative distinctions were observed, as follows: autistic mothers appeared to favor self-guided strategies (e.g., books, personal guidelines), whereas non-autistic mothers relied more on professional guidance; additionally, autistic mothers expressed a stronger preference for autonomy, while non-autistic mothers often valued companionship. These findings underscore the urgent need for healthcare professionals to receive training on autistic motherhood/parenthood and for the development of tailored postpartum care guidelines to ensure inclusive, responsive support. Full article

The informal commercialization of wild orchids in central Veracruz, Mexico, poses significant conservation challenges but also offers opportunities for sustainable development through orchid-based tourism. This study evaluated the potential of native orchid tourism as an alternative livelihood for local actors currently engaged in the wild orchid trade. Using a qualitative method approach, 17 semi-structured interviews, direct observations, and species documentation were carried out across eight municipalities. Snowball sampling was employed due to the clandestine nature of the trade. A total of 51 native orchid species were identified, of which 31 are actively traded—many under conservation risk categories. Four actor types were characterized: gatherers, nurserymen, collectors, and companies. Nurserymen and collectors demonstrated the greatest willingness and capacity to transition toward tourism-based conservation activities, whereas gatherers remained economically dependent on wild collection. Identified threats include overharvesting, deforestation, and weak enforcement of trade regulations. The findings highlight the need for policies that integrate legal propagation, certification schemes, and community-based tourism initiatives to reduce pressure on wild populations while supporting local economies. This research provides a comprehensive analysis of orchid trade networks, extending beyond market studies to explore their tourism potential and role in biodiversity conservation. Full article

Objective: To explore the lived experiences of type 2 diabetes mellitus (T2DM) patients undergoing peritoneal dialysis (PD) or hemodialysis (HD) using continuous glucose monitoring (CGM). Research Design and Methods: A qualitative phenomenological study was conducted with 50 adult T2DM patients on PD or HD who used CGM for at least 14 days. Semi-structured interviews were audio-recorded and transcribed verbatim. A thematic analysis framework was applied to identify major themes regarding insulin management, CGM utilization, and emotional and social dimensions. Results: Four main themes emerged, each with multiple subthemes. PD patients emphasized enhanced autonomy and frequent insulin adjustments due to dialysate glucose absorption. Conversely, HD patients reported severe post-dialysis fatigue, emotional distress, and limited social engagement often associated with intra-dialytic hypoglycemia. CGM was valued by 85% of participants for improving metabolic awareness and self-management. However, 15% reported barriers such as device cost and technical difficulties. The insights clearly distinguish the differential impact of dialysis modality on daily glucose control and patient well-being. Conclusions: These findings underscore the critical need for patient-centered care incorporating access to CGM and tailored insulin regimens. Equitable implementation of CGM in dialysis settings could significantly enhance glycemic control, emotional resilience, and overall quality of life. Full article

The widespread application of WE43 (Mg-4Y-2Nd-1Gd-0.5Zr) alloy castings in aerospace components is hindered by the frequent formation of defects such as cracks, pores, and especially yttria inclusions. These defects necessitate subsequent welding. However, using homologous WE43 filler wires often exacerbates these issues, leading to high crack susceptibility and reintroduction of inclusions. Herein, we propose a novel strategy of tailoring Y content in filler wires to achieve high-quality welded joint of WE43 sand castings. Systematic investigations reveal that reducing Y content to 2 wt.% (WE23) effectively suppresses oxide inclusion formation and significantly enhances the integrity of the joint. The fusion zone microstructure evolves distinctly with varying Y levels: grain size initially increases, peaking at 24 μm with WE43 wire, then decreases with further Y addition. Moreover, eutectic compounds transition from a semi-continuous to a continuous network structure with increasing Y content, deteriorating mechanical performance. Notably, joints welded with WE23 filler exhibit minimal performance loss, with ultimate tensile strength, yield strength, and elongation reaching 93.0%, 98.0%, and 97.4% of the sand-cast base metal, respectively. The underlying strengthening mechanisms and solute-second phase relationships are elucidated, highlighting the efficacy of optimizing Y content in welding wire design. This study provides valuable insights toward defect-free welding of high-performance Mg-RE alloy castings. Full article

Anomaly detection aims to identify abnormal instances that significantly deviate from normal samples. With the natural connectivity between instances in the real world, graph neural networks have become increasingly important in solving anomaly detection problems. However, existing research mainly focuses on static graphs, while there is less research on mining anomaly patterns in dynamic graphs, which has important application value. This paper proposes a Transformer-based semi-supervised anomaly detection framework for dynamic graphs. The framework adopts the Transformer architecture as the core encoder, which can effectively capture long-range dependencies and complex temporal patterns between nodes in dynamic graphs. By introducing time-aware attention mechanisms, the model can adaptively focus on important information at different time steps, thereby better understanding the evolution process of graph structures. The multi-head attention mechanism of Transformer enables the model to simultaneously learn structural and temporal features of nodes, while positional encoding helps the model understand periodic patterns in time series. Comprehensive experiments on three real datasets show that TSAD significantly outperforms existing methods in anomaly detection accuracy, particularly demonstrating excellent performance in label-scarce scenarios. Full article