Search Results (273)

Survivors of pediatric cancer are at risk for late effects and require risk-adapted long-term follow-up (LTFU) care. Yet less than 50% of survivors attend LTFU care. This study aimed to identify barriers and enablers of engaging with LTFU care as perceived by Canadian survivors of pediatric cancer and healthcare providers (HCPs). Survivors (n = 108) and HCPs (n = 20) completed surveys assessing barriers and enablers to attending LTFU care, summarized using descriptive statistics. Participants were invited to participate in survivor focus groups (n = 22) or HCP semi-structured interviews (n = 7). These were analyzed using reflexive thematic analysis and the Capability, Opportunity, and Motivation for Behaviour Change (COM-B) model, which explores how an individual’s capability, opportunity, and motivation influence a target behaviour. Structural barriers, transitioning from pediatric to adult care, and time constraints were highlighted as barriers that affect survivors’ physical opportunity to engage in LTFU care. Accessibility, financial support, HCPs and family support, and community resources were highlighted as enablers that better survivors’ physical and social opportunity to engage in LTFU care. In conclusion, Canadian survivors of pediatric cancer highlighted barriers that limited their physical opportunity to attend LTFU care, while factors that enhanced their physical and social opportunities facilitated greater engagement with LTFU care. Full article

In this paper, we argue that what is sometimes at fault for the poor attendance and lack of engagement in schools observed from historically marginalized families is a missed opportunity to increase understanding or cultural relevance on the part of schools. In this paper, we use the construct of “counter stories” which has the potential to change the script on the instrumentalist demands of quantity versus quality in parent engagement. By providing examples of what we consider “quality” engagement techniques via the staff’s interpretation of their roles within one demographically rich early learning center, the strategies used to engage parents are documented. Counter-stories of practice show family-centrism as interpreted by school leaders. By describing one community context and its practices of building relationships with newcomer families, relationally driven parent engagement techniques are revealed. The authors highlight how inquiry-based methods surpass the generic approaches described in policy. When parent engagement “arises” from within parents’ motivations and informs authentic knowing (by teachers and school leaders), community systems are elevated. Professionals’ decisions about children and community groups that are informed by families’ knowledge are consequently meaningful and authentic. Full article

The use of augmented reality (AR) tools and innovative learning environments in education have increased over the last few years due to the rapid advancement of technology. In this study, an AR mathematics learning intervention has been proposed which consisted of the creation of 3D multibase blocks to perform AR arithmetic calculations conducted through active methodologies in the future classroom lab (FCL). The aim of this study was to analyze pre-service teachers’ (PSTs) affective domain (emotion, self-efficacy, and attitude), engagement, motivation, and confidence. The sample consisted of 97 PSTs enrolled on the second year of the Primary Education degree, who were attending the “Mathematics and its Didactics” subject. The findings revealed a significant increase in PSTs’ satisfaction, fun, confidence, and pride, and a decrease in uncertainty, nervousness, and concern. Regarding PSTs’ self-efficacy, a significant improvement was observed in knowing the necessary steps to teach mathematical concepts and work in the FCL. No significant differences were found in attitude, engagement, and motivation; however, the PSTs showed a high disposition in all of them before starting the intervention. Additionally, the PSTs reported to be more confident, and it enhanced their knowledge in the use of 3D design and AR applications to create multibase blocks to support the teaching–learning content of arithmetic operations. Full article

Compared to multiple other European countries, Germany still lists among those countries restricting the operation of most retail activities on Sundays as well as public holidays. For a long time, the German populace backed this decision. The COVID-19 crisis had distinct effects on retail behavior, expectations, and perceptions among broad strata of German society. To quantify these changes, this study implements the results of two surveys from 2018 and 2025. Both samples were drawn from among the population of the fourth-largest German city of Cologne and visitors to the city. The results of t-tests and multiple multivariate regression analyses indicate that visitors still attend retail Sundays for hedonistic motives, i.e., related events, but in 2025 utilitarian motives have become more essential. While the amount of money spent during retail Sundays increased, this development is primarily driven by visitors not native to Cologne. However, city events continue to draw visitors and should be continued by city management. The financial potential for retailers by abolishing the German Shop Closing Act consequently remains limited, and its abolishment would only increase the ease of shoppers. Thus, legal changes to the act will have only limited potential for urban economic development. Full article

Background and Objectives: Urinary incontinence (UI) is a prevalent condition that significantly affects quality of life but remains underreported. Understanding the factors that influence patients’ decisions to seek medical consultation is essential for improving care-seeking behavior and ensuring timely intervention. This study aimed to identify the facilitators of seeking medical consultation among individuals with UI in a Saudi secondary care setting. Materials and Methods: A cross-sectional study was conducted from December 2024 to April 2025 among adult patients with UI attending urology and urogynecology outpatient clinics at a single tertiary center. Participants completed a structured, self-administered questionnaire that comprised sociodemographic data, the ICIQ-UI SF, and 33 potential motivators for seeking care, categorized into six domains. Results: A total of 241 participants were included in the study. The 33-item scale demonstrated excellent internal consistency (Cronbach’s α = 0.945). The most influential domains were daily and physical impact, followed by emotional and psychological factors. Top facilitators included interference with prayers (66.8%), use of pads (62.2%), social limitations (63.9%), frequent clothing changes (64.7%), and fear of worsening symptoms (63.5%). Cultural factors, such as access to same-sex specialists (52.2%), were also prominent. Logistic regression identified age, marital status, and motivators from several domains as significant predictors. Key independent predictors included prayer interference, leakage frequency, and gender-concordant care. Conclusions: Help-seeking for UI is influenced by physical, emotional, social, and cultural factors. Enhancing patient education, addressing sociocultural sensitivities, and promoting physician-led discussions foster earlier care-seeking and improve health outcomes in populations with traditionally low treatment uptake. Full article

Background: Post-COVID syndrome is characterized by persistent symptoms such as dyspnea, fatigue, and reduced exercise tolerance, which can significantly impair pulmonary function and quality of life. Pulmonary rehabilitation has been proposed as a potential intervention to address these challenges. This study aimed to evaluate the effects of a pulmonary rehabilitation program on pulmonary function, inflammatory markers, and quality of life in patients with post-COVID syndrome. Methods: A prospective, interventional, non-randomized clinical trial was conducted involving 77 participants (mean age 59.4 ± 11.6 years; 39% female) who attended a post-COVID care clinic in Rzeszów, Poland. The intervention included supervised respiratory and aerobic exercises, muscle strengthening, and body balance therapy, alongside motivational breathing therapy. Pulmonary function (spirometry, plethysmography, gasometry), inflammatory markers (CRP, WBC, D-dimer), and quality of life (WHOQOL-BREF) were assessed pre- and post-intervention. Results: Significant improvements were observed in pulmonary function parameters post-rehabilitation, including increases in forced vital capacity (FVC, 75% to 78.4%, p < 0.001), forced expiratory volume in one second (FEV1, 78.2% to 80.5%, p < 0.001), and total lung capacity (TLC, 67.3% to 71%, p < 0.001). The diffusing capacity for carbon monoxide (DLCO) improved by 6.2% (p < 0.001). Arterial oxygen pressure (PaO₂) increased by 7.6 mmHg (p < 0.001). Markers of inflammation, including CRP (8.9 to 1.3 mg/dL, p < 0.001) and d-dimer (1722.2 to 203.4 ng/mL, p < 0.001), showed significant reductions. Quality of life improved across physical, psychological, and environmental domains. Sex, BMI, and baseline inflammatory markers were significant determinants of rehabilitation outcomes. Conclusions: A pulmonary rehabilitation program significantly improved pulmonary function, reduced systemic inflammation, and enhanced quality of life in individuals with post-COVID syndrome. The findings highlight the importance of tailored rehabilitation in mitigating long-term post-COVID sequelae. Future research should explore the long-term effects of rehabilitation and its applicability in diverse populations. Full article

In the recent K-12 educational literature, arts-based data visualization has been positioned as a compelling means of rendering data science and statistical learning accessible, motivating, and empowering for youth, as data users and producers. However, the only research to attend carefully to youth’s data-based, artistic storytelling practices has been limited in scope to specific storytelling mechanisms, like youth’s metaphor usage. Engaging in design-based research, we sought to understand the art and design decisions that youth make and the data-based arguments and stories that youth tell through their arts-based data visualizations. We drew upon embodied theory to acknowledge the holistic, synergistic, and situated nature of student learning and making. Corresponding with emerging accounts of youth arts-based data visualization practices, we saw regular evidence of art, storytelling, and personal subjectivities intertwining. Contributing to this literature, we found that these intersections surfaced in a number of domains, including youth’s pictorial symbolism, visual encoding strategies, and data decisions like manifold pictorial symbols arranged to support complex, multilayered, ambiguous narratives; qualitative data melding community and personal lived experience; and singular statements making persuasive appeals. This integration of art, story, agency, and embodiment often manifested in ways that seemed to jostle against traditional notions of and norms surrounding data science. Full article

Participation in science, technology, engineering, and mathematics (STEM) fields is crucial, as these fields present an opportunity for individuals to overcome socio-economic adversities such as unemployment and poverty. In South Africa, access to STEM education has improved in recent years, partly due to the availability of study grants for learners interested in these fields. However, evidence shows that women remain underrepresented in STEM fields. Gender stereotypes, bullying, and pay disparities are cited as some of the contributing factors. Despite these overwhelming challenges, female learners are increasingly pursuing STEM education. Guided by the resilience theory, we explored the factors motivating female learners to enroll in STEM fields at a public secondary school level in South Africa. The research adopted the snowball sampling technique to recruit learners attending a public secondary school in South Africa. Due to COVID-19-related restrictions in 2022, the research data was collected through telephonic one-on-one interviews. The findings revealed that access to competitive employment opportunities, impactful careers, personal growth, and financial independence were some factors sparking the female learners’ interest in STEM. However, the learners experienced gender stereotypes and discrimination, which made them doubt their abilities to thrive in STEM education/fields. To cope with the complexities of STEM, the learners relied on their caregivers for emotional support, and they attended extra lessons and tutorials offered by the education system. The findings highlight the need for the government to prioritize support programs for female learners who must continuously fight rejection in STEM fields. Full article

Background/Objectives: Nonattendance at healthcare appointments remains a major challenge, particularly in chronic diseases like diabetes. Dietary therapy is essential in diabetes care, yet nonattendance at dietitian appointments persists. This study aimed to identify key drivers of nonattendance at dietitian appointments, explore prior experiences with dietary counseling, and determine factors motivating attendance. Methods: A mixed-methods approach was used in this quality improvement project, drawing on multiple data sources to explore nonattendance at dietitian appointments. This included combining a retrospective analysis of clinical and attendance data from patient records at a Danish outpatient diabetes clinic with semi-structured interviews with 25 individuals who had recently missed a dietitian appointment. Quantitative and qualitative data were analyzed separately and then integrated to characterize overall nonattendance patterns. Interview data were analyzed using systematic text condensation. Results: Individuals who missed dietitian appointments were also more likely to miss other healthcare appointments. Vulnerable individuals (i.e., those with complex health conditions or mental health issues) were more likely to miss appointments. Four principal barriers to attendance were identified: administrative, digital, and logistical challenges; competing health concerns; personal priorities; and unclear referral communication and patient involvement. Conclusions: Improving attendance at dietitian appointments requires a multifaceted approach. Key recommendations include optimizing scheduling practices, implementing digital reminders, offering continuity of care and virtual consultation options. Referring clinicians should improve patient communication by clearly explaining the purpose of the dietitian consultation and involving patients in shared decision-making prior to referral. Dietitians should collaborate with patients to establish realistic, personalized goals to foster engagement in their diabetes management. Full article

Background/Objectives: Currently, older adults face significant digital exclusion due to a lack of technological skills, which limits their access to essential services and their social participation in an environment increasingly dependent on technology. This study aimed to analyze how technological anxiety and social influence affect the perceived usefulness, perceived ease of use, and adoption intention of technological tools among older adults in Mexico City using the Technology Acceptance Model (TAM). Methods: A survey was conducted with 70 older adults attending an event in Mexico City. Results: The findings confirm that, although perceived usefulness and ease of use remain pillars of technology use intention, technology anxiety acts as a critical barrier limiting adoption. At the same time, social influence has a dual effect: on the one hand, it facilitates the perception of ease of use; on the other, it diminishes the perception of usefulness when support becomes pressuring or impatient. Conclusions: These results underscore the need to design interventions that reduce anxiety, strengthen digital literacy, and promote empathetic and motivating social support, thereby effectively enhancing technology adoption among older adults. Full article

Introduction: Student retention is a critical issue in higher education. Universities have responded by implementing supports like early alert systems. Objective: We investigated students’ knowledge of and experiences with an early alert system designed to enhance academic persistence. Method: We surveyed (N = 356) undergraduates at a large public university in the U.S. The survey was researcher-created and administered online. Participants self-selected into the study and provided informed consent prior to beginning the study. Data were coded by experts, who achieved excellent IRR. The analyses were frequency-based to understand diverse student knowledge, experiences, and responses with early alert systems. Results: Students commonly reported experiencing negative emotions after receiving an alert, but also reported that receiving an alert motivated them to increase their course attendance, improve their study habits, and participate more in class. Finally, students indicated that receiving an early alert facilitated supportive interactions with instructors, though student communication with academic advisors was less frequent. Student recommendations for system improvement included using positive language in alerts and providing actionable guidance. Conclusions: These results provide new insight into student views of early alert systems and suggest that these systems can positively impact students in need of support. Full article

Vehicle owners often use certified service centers throughout the warranty period, which usually extends for five years after buying. Nonetheless, after this timeframe concludes, a large number of owners turn to unapproved service providers, mainly motivated by financial factors. This change signifies a significant drop in income for automakers and their certified service networks. To tackle this issue, manufacturers utilize customer relationship management (CRM) strategies to enhance customer loyalty, usually depending on segmentation methods to pinpoint potential clients. However, conventional approaches frequently do not successfully forecast which clients are most likely to need or utilize maintenance services. This research introduces a machine learning-driven framework aimed at forecasting the probability of monthly maintenance attendance for customers by utilizing an extensive historical dataset that includes information about both customers and vehicles. Additionally, this predictive approach supports workforce planning and scheduling within after-sales service centers, aligning with AI-driven labor optimization frameworks such as those explored in the AI4LABOUR project. Four algorithms in machine learning—Decision Tree, Random Forest, LightGBM (LGBM), and Extreme Gradient Boosting (XGBoost)—were assessed for their forecasting capabilities. Of these, XGBoost showed greater accuracy and reliability in recognizing high-probability customers. In this study, we propose a machine learning framework to predict vehicle maintenance visits for after-sales services, leading to significant operational improvements. Furthermore, the integration of AI-driven workforce allocation strategies, as studied within the AI4LABOUR (reshaping labor force participation with artificial intelligence) project, has contributed to more efficient service personnel deployment, reducing idle time and improving customer experience. By implementing this approach, we achieved a 20% reduction in information delivery times during service operations. Additionally, survey completion times were reduced from 5 min to 4 min per survey, resulting in total time savings of approximately 5906 h by May 2024. The enhanced service appointment scheduling, combined with timely vehicle maintenance, also contributed to reducing potential accident risks. Moreover, the transition from a rule-based maintenance prediction system to a machine learning approach improved efficiency and accuracy. As a result of this transition, individual customer service visit rates increased by 30%, while corporate customer visits rose by 37%. This study contributes to ongoing research on AI-driven workforce planning and service optimization, particularly within the scope of the AI4LABOUR project. Full article

Architecture as a STEM career presents a promising yet challenging path for women pursuing professional growth in the field, as they remain under-represented, particularly in leadership roles and professional practice, despite their increasing presence in architectural education. This study investigates the experiences, motivations, and challenges faced by women in architecture in the educational setting of Nigeria. Using a quantitative research approach, data were collected from 137 respondents through structured questionnaires, representing a 97.93% response rate. The findings reveal that passion for design and creativity (73.7%) was the predominant motivation for women choosing architecture. While 80.5% of respondents reported experiencing or observing gender-related challenges, these were not ranked as primary barriers when specific obstacles were identified; instead, financial constraints, limited resource access, and work–life balance emerged as the most significant challenges. Remarkably, 89.5% of participants expressed satisfaction with architecture as a career choice, with no reported dissatisfaction. Creativity (28%), continuous learning (24.2%), and societal impact (20%) were found to be the most rewarding aspects of their architectural careers. Statistical analyses revealed no significant association between academic level and career satisfaction or between institution attended and experiences of gender-related challenges. The correlation analysis demonstrated that intrinsic motivators like passion for design have stronger relationships with career satisfaction than extrinsic factors like financial stability or family influence. These findings contribute to understanding women’s experiences in architectural education in Nigeria and have implications for educational institutions, professional organizations, and policymakers seeking to enhance women’s participation and advancement in architecture. The research highlights the importance of addressing structural barriers while nurturing the creative and professional aspects that draw women to the field. Full article

Flood risk management involves managing the consequences of flooding as well at its hazard characteristics. This means attending to the human effects of floods and flood risk reduction. These effects are many and varied and are often poorly understood by those who make the relevant decisions. This short piece addresses this issue and calls for a greater awareness of what measures those at risk are motivated likely to undertake to reduce the risks that they personally face. Full article

The motivational dimensions of volunteer tourists have been a focal point of scholarly debate, closely aligning with their prosocial orientations. Limited attention has been given to examining these relationships through the lens of identity formation among young tourists. To address this gap, this study conducted a two-wave longitudinal investigation into the linkage between volunteer tourists’ self-determined motivation and their prosocial orientation, with identity processing styles serving as a mediator. The sample (n = 291) consisted of freshmen and sophomores participating in a volunteer teaching program during the summer of 2024. We measured the variables of interest both before and after their attendance. In addition to direct effects, our findings observed two significant indirect pathways: (1) Wave 1 autonomous motivation was positively associated with an informational identity style at Wave 1, which predicted Wave 2 other-oriented helping tendency; and (2) Wave 1 controlled motivation was positively related to a normative identity style at Wave 1, which accounted for self-oriented helping propensity at Wave 2. Furthermore, the first relationship was uni-directional, as the coefficient for the reverse pathway (i.e., Wave 1 other-oriented helping → Wave 1 informational identity style → Wave 2 autonomous motivation) was not significant. In contrast, the second relationship was bi-directional, wherein Wave 1 self-oriented helping was positively associated with a normative identity style at Wave 1, which subsequently predicted Wave 2 controlled motivation. Taken together, our study contributes to the literature on altruistic motives, prosocial behavior, identity development, and volunteer tourism. Full article