Search Results (3,907)

Initial teacher education programs are the primary means through which student teachers gain teaching apprenticeship, amass core teaching knowledge, and build skills that prepare them to become effective teachers who are ready to combat the realities and challenges of the classroom. The current study examines the level of content knowledge (CK), pedagogical content knowledge (PCK), and the self-efficacy of language and foundational literacy instruction among the language teacher educators at teacher training colleges (TTCs) in Malawi. This research further explored the teacher educators’ perceptions of CK and PCK, and how their understanding of the Initial Primary Teacher Education curriculum shapes their teaching practices in foundational learning and language. Lastly, we explore the associations between CK, PCK, self-efficacy, and teacher educators’ characteristics. Utilizing a mixed-methods approach, we analyzed data from 60 language teacher educators from 10 TTCs in Malawi. The findings revealed that the teacher educators’ level of CK and PCK was low, but they had high self-efficacy in their ability to teach the component skills of literacy to the student teachers. Of the teacher educators’ characteristics, only continuous professional development was positively correlated with their self-efficacy. The teacher educators’ CK and PCK are shaped by the TTC curriculum, their primary school teaching experiences, and the national education policies and guidelines they implement. Gaps in the curriculum and external constraints hinder them from effectively training student teachers in foundational literacy pedagogies. The findings provide pedagogical and policy directions for stakeholders to improve the quality of preservice education in low–middle-income contexts. Full article

Technological advances have enabled the development of innovative educational tools, particularly those aimed at supporting English as a Second Language (ESL) learning, with a specific focus on oral skills. However, pronunciation remains a significant challenge due to the limited availability of personalized learning opportunities that offer immediate feedback and contextualized practice. In this context, the present research proposes the design, implementation, and validation of an immersive application that leverages virtual reality (VR) and artificial intelligence (AI) to enhance English pronunciation. The proposed system integrates a 3D interactive environment developed in Unity, voice classification models trained using Teachable Machine, and real-time communication with Firebase, allowing users to practice and assess their pronunciation in a simulated library-like virtual setting. Through its integrated AI module, the application can analyze the pronunciation of each word in real time, detecting correct and incorrect utterances, and then providing immediate feedback to help users identify and correct their mistakes. The virtual environment was designed to be a welcoming and user-friendly, promoting active engagement with the learning process. The application’s distributed architecture enables automated feedback generation via data flow between the cloud-based AI, the database, and the visualization interface. Results demonstrate that using 400 samples per class and a confidence threshold of 99.99% for training the AI model effectively eliminated false positives, significantly increasing system accuracy and providing users with more reliable feedback. This directly contributes to enhanced learner autonomy and improved ESL acquisition outcomes. Furthermore, user surveys conducted to understand their perceptions of the application’s usefulness as a support tool for English learning yielded an average acceptance rate of 93%. This reflects the acceptance of these immersive technologies in educational contexts, as the combination of these technologies offers a realistic and user-friendly simulation environment, in addition to detailed word analysis, facilitating self-assessment and independent learning among students. Full article

Background/Objectives: Nipple trauma is a common challenge during the early postpartum period, often undermining maternal confidence and breastfeeding success. Although deep-learning-based image analysis offers the potential for objective and remote assessments, its feasibility in clinical practice has not been well examined. This study aimed to evaluate the feasibility and acceptability of a deep-learning-based nipple trauma assessment system and explore maternal perceptions of the intervention. Methods: A quasi-experimental study was conducted at a maternity hospital in Japan. Participants were assigned to intervention or control groups based on their delivery month. Mothers in the intervention group used a dedicated offline smartphone to photograph their nipples during hospitalization. Images were analyzed using a pretrained deep-learning model, and individualized feedback was delivered via a secure messaging platform. Self-administered questionnaires were collected at three points: late pregnancy, during hospitalization, and one month postpartum. Maternal experiences and satisfaction with breastfeeding were also assessed. Results: A total of 23 participants (intervention = 8 and control = 15) completed the study. The system functioned without technical errors, and no adverse events were reported. Most participants found the AI results useful, with 75% receiving high-confidence outputs (predicted class probability ≥ 60%). Participants expressed interest in real-time feedback and post-discharge use. Breastfeeding self-efficacy scores (BSES-SF) improved more in the intervention group (+9.8) than in the control group (+7.8). Conclusions: This study confirmed the feasibility and acceptability of a deep-learning-based nipple trauma assessment system during postpartum hospitalization. The system operated safely and was well received by participants. Future developments should prioritize real-time, remote functionality to support diverse maternal needs. Full article

Transdisciplinary challenge-based learning (T-CBL) has emerged as a transformative educational approach in life sciences and sustainability education, promoting the development of students as change agents. T-CBL engages learners from diverse disciplines in addressing real-life challenges—such as environmental, societal, and ethical issues—through collaboration with both academic and extra-academic actors. However, the role of coaches, who are often key academic actors within T-CBL, remains insufficiently defined and under-evaluated. In this study, 18 coaches from six T-CBL courses offered by an alliance of four Dutch universities were surveyed using a combination of baseline questionnaires and semi-structured interviews to explore their perceptions of their role within T-CBL. Coaches described their role as versatile and complex. Beyond assigning grades, they were responsible for providing feedback on group processes and individual students’ development, including self-reflection, personal goal setting, and overall well-being. Support offered by coaches primarily focused on cognitive processes and social dynamics, rather than content-specific guidance. Regarding preparation for the coaching role, most coaches reported having received no formal training and expressed feeling insufficiently prepared. The findings indicate a need for further investigation into the role of coaches in relation to other actors involved in T-CBL, with the ultimate aim of identifying factors to consider in designing T-CBL courses, including determining which actors to involve and how to prepare them for their respective roles. Full article

Background. Parkinson’s Disease (PD) is a neurological condition that can severely impair gait, often through changes to gait parameters including stride length, velocity, and variability. Therapeutic interventions such as Rhythmic Auditory Stimulation (RAS^®) target gait dysfunction in PD by using the regular beat of music or metronome clips to cue normalized walking patterns. Previous research has suggested that auditory cue properties (e.g., familiarity and groove) and individual factors (e.g., beat perception ability and susceptibility to dual-task interference) influence auditory cueing treatment efficacy in healthy young and older adults; however, optimization of rhythmic cueing across individuals with PD remains understudied. Methods. To address this, we explored the effects of familiarity, groove, beat perception ability, and synchronization instructions on gait in patients with PD during accelerated auditory cues. Individuals with idiopathic PD were randomized to walk freely or synchronized to music and metronome cues played 10% faster than their baseline walking cadence. Musical stimuli varied in self-reported familiarity and perceived groove and beat perception ability was assessed to classify participants as good or poor beat perceivers. Results. Overall, high-groove music and synchronized walking elicited faster gait patterns compared to low-groove music and free walking, respectively, as demonstrated by increased gait velocity and cadence. Familiarity and beat perception ability did not significantly affect gait in individuals with PD. Discussion. Altogether, our results indicate that high-groove music and synchronized walking lead to the greatest gait improvements during cueing, regardless of beat perception ability. Conclusion. Future studies and clinical interventions should consider stimulus type and synchronization instructions when implementing cueing therapies for gait dysfunction in PD in order to optimize treatment responses. Full article

This study investigates the psychological and emotional mechanisms underlying women’s reactions to breast cancer awareness advertisements through the dual lens of Protection Motivation Theory (PMT) and neuromarketing methods, addressing a gap in empirical research on the integration of biometric and cognitive approaches in health marketing. Utilizing a lab-based experiment with 78 women aged 40 and older, we integrated Facial Expression Analysis using Noldus FaceReader 9.0 with semi-structured post-exposure interviews. Six manipulated health messages were embedded within a 15 min audiovisual sequence, with each message displayed for 5 s. Quantitative analysis revealed that Ads 2 and 5 elicited the highest mean fear scores (0.45 and 0.42) and surprise scores (0.35 and 0.33), while Ad 4 generated the highest happiness score (0.31) linked to coping appraisal. Emotional expressions—including fear, sadness, surprise, and neutrality—were recorded in real time and analyzed quantitatively. The facial analysis data were triangulated with thematic insights from interviews, targeting perceptions of threat severity, vulnerability, response efficacy, and self-efficacy. The findings confirm that fear-based appeals are only effective when paired with actionable coping strategies, providing empirical support for PMT’s dual-process model. By applying mixed-methods analysis to the evaluation of health messages, this study makes three contributions: (1) it extends PMT by validating the emotional–cognitive integration framework through biometric–qualitative convergence; (2) it offers practical sequencing principles for combining threat and coping cues; and (3) it proposes cross-modal methodology guidelines for future health campaigns. Full article

Background: Formal and informal social support networks are crucial for mental well-being, providing a sense of personal security and safety, especially during times of crisis. Aims: The aim of this study is to examine women’s perceptions of their own experiences alongside their perceptions of their partners’ experiences in the relationship between social support and the sense of danger within intimate relationships, based solely on women’s self-reports. It compares couples experiencing high-intensity conflict (particularly related to separation) with couples from the general population, and explores how the distribution of social support, whether received by the woman, the man, both, or neither is associated with feelings of danger. Methods: The sample comprised 165 women from two subsamples: 70 women from the general population and 95 women engaged in high-intensity intimate conflict, who were undergoing separation proceedings. Data were collected via self-report questionnaires, which included the Multidimensional Scale of Perceived Social Support and a custom questionnaire for Sense of Danger from the Partner. No direct data were collected from male partners; women provided both their own reports and their perceptions of their partner’s experiences. Repeated measures analysis was performed to examine the sense of danger as perceived for both themselves and their partners. Results: The analysis shows that the higher the level of social support, the weaker the sense of danger reported by women for themselves and for their partners. It also reveals that the sense of danger (both self-reported and attributed to the partner) is stronger among couples engaged in high-intensity conflict than among those in the general population, and that women report a stronger sense of danger for themselves than they attribute to their men. Importantly, when social support is provided to only one partner, it is associated with a higher sense of danger in the other partner. Conclusions: Social support has been associated with lower reported feelings of danger in intimate relationships. However, when support is given to only one partner, it may increase the other partner’s sense of danger. These findings highlight the need for balanced support for both partners in order to reduce tension and promote a greater sense of safety during times of conflict. Full article

Exoskeleton robots function as augmentation systems that establish mechanical couplings with the human body, substantially enhancing the wearer’s biomechanical capabilities through assistive torques. We introduce a lumbar spine-assisted exoskeleton design based on Variable-Stiffness Pneumatic Artificial Muscles (VSPAM) and develop a dynamic adaptation mechanism bridging the pneumatic drive module with human kinematic intent to facilitate human–robot cooperative control. For kinematic intent resolution, we propose a multimodal fusion architecture integrating the VGG16 convolutional network with Long Short-Term Memory (LSTM) networks. By incorporating self-attention mechanisms, we construct a fine-grained relational inference module that leverages multi-head attention weight matrices to capture global spatio-temporal feature dependencies, overcoming local feature constraints inherent in traditional algorithms. We further employ cross-attention mechanisms to achieve deep fusion of visual and kinematic features, establishing aligned intermodal correspondence to mitigate unimodal perception limitations. Experimental validation demonstrates 96.1% ± 1.2% motion classification accuracy, offering a novel technical solution for rehabilitation robotics and industrial assistance. Full article

Background/Objectives: Excessive intake of sugar-sweetened food (SSF) increases obesity risk. Various psychological, physiological, and environmental factors may drive high consumption of SSF. Due to blocking sweet tastes, the herb Gymnema sylvestre (GS) has been shown to reduce SSF consumption, but its impact on motivation to eat SSF is unknown. This research aimed to qualitatively investigate adults’ perceptions regarding effects of GS on their motivation to eat SSF when administered systematically (three times/day in-between meals, i.e., GS-SYS treatment) or ad libitum (up to six times/day at participants’ discretion, i.e., GS-ADLIB) over 14 days, compared to placebo (taste-matched mint; PLAC-SYS). Methods: This study represents the qualitative investigation of a placebo-controlled randomised cross-over trial, conducted as three 14-day phases. The qualitative investigation included interviews at baseline and three post-testing phases. Seven participants (mean age 34.7 ± 13.8 years; two males, five females) agreed to participate. Twenty-eight interviews (across phases) were thematically analysed using NVivo software, identifying themes and highlighting changes in motivation to eat SSFs across the study. Results: The GS-SYS and GS-ADLIB treatments made SSFs unpleasant to eat and increased mindful eating, subsequently increasing motivation to avoid SSFs. External factors could increase or decrease motivation, depending on individual circumstances. Participants preferred GS-SYS and GS-ADLIB over PLAC-SYS, feeling it was more effective at changing behaviours related to SSF intake. Self-control over SSF intake changed during the study, mostly due to external factors, and in part GS-ADLIB. Conclusions: Participants found both GS administrations successful as motivation to avoid SSF; GS-ADLIB was considered most effective. Full article

Wilms’ tumor is a common pediatric renal malignancy. In selected cases, nephron-sparing surgery (NSS) may be employed as part of the surgical approach. To prevent positive margins, optimal understanding of the tumor–kidney edge is essential. Augmented reality (AR) enables intraoperative visualization of patient-specific three-dimensional (3D) holograms. In this study, we aim to validate the clinical feasibility of a holographic landmark-based registration system in pediatric patients planned for a total nephrectomy (TN), to ensure that the holographic visualization will not influence surgical decision making. In a single-center prospective study, ten pediatric patients undergoing TN were included. Patient-specific 3D holograms were created from preoperative MRI, and intraoperatively landmark-based registration was performed using the HoloLens 2. Clinical feasibility was conducted using accuracy measurements, the System Usability Scale (SUS), and a self-developed questionnaire. Three out of ten patients had a successful registration with a median measured accuracy of 7.0 mm (Interquartile Range (IQR) 6–13.5) and a median SUS score of 75 (IQR 65–77.5). Surgeons reported improved depth perception and anatomical understanding. However, in seven out of ten patients, registration failed due to multiple reasons. The most important factors were large tumor volumes obstructing landmark placement and insufficient spatial distributions of the landmarks, causing rotational misalignment. Although AR showed potential in improving the depth perception and relation in anatomical structures, the landmark-based registration with the HoloLens 2 was currently deemed insufficient for clinical implementation in pediatric abdominal surgery. Full article

Background: Cancer remains a leading cause of morbidity and mortality worldwide. In Puerto Rico, patients face additional burdens due to the structural inequalities affecting access to employment, nutritious food, and mental health services. This study examined the associations between employment status, perceived economic hardship, dietary behaviors, and depressive symptoms among 334 adult cancer patients in Puerto Rico. Methods: Using a cross-sectional design, participants provided sociodemographic data, dietary patterns, and self-reports of depression. Results: Statistical analyses revealed that full-time employment was associated with a higher consumption of low-nutritional-value foods (ρ = 0.157, p = 0.015) and significant differences in their consumption having a higher mean against unemployment were observed (mean ranks = 146.09 and 177.08, p = 0.010). A higher employment status also served as a protective factor against depression (p = 0.005). A higher body mass index (BMI) was linked to an increased risk of depression (p = 0.002), and perceived economic hardship was significantly associated with depression (OR= 0.54, p = 0.033). Conclusions: The findings underscore the necessity for comprehensive interventions that account for the synergistic effects of economic perception, employment, nutrition, and psychological well-being in cancer treatment in Puerto Rico. Full article

With the development of smart agriculture, the precise identification of fruit tree trunks by orchard management robots has become a key technology for achieving autonomous navigation. To solve the issue of tree trunks being hard to see against their background in orchards, this study introduces PCC-YOLO (PENet, CoT-Net, and Coord-SE attention-based YOLOv8), a new trunk detection model based on YOLOv8. It improves the ability to identify features in low-contrast situations by using a pyramid enhancement network (PENet), a context transformer (CoT-Net) module, and a combined coordinate and channel attention mechanism. By introducing a pyramid enhancement network (PENet) into YOLOv8, the model’s feature extraction ability under low-contrast conditions is enhanced. A context transformer module (CoT-Net) is then used to strengthen global perception capabilities, and a combination of coordinate attention (Coord-Att) and SENetV2 is employed to optimize target localization accuracy. Experimental results show that PCC-YOLO achieves a mean average precision (mAP) of 82.6% on a self-built orchard dataset (5000 images) and a detection speed of 143.36 FPS, marking a 4.8% improvement over the performance of the baseline YOLOv8 model, while maintaining a low computational load (7.8 GFLOPs). The model demonstrates a superior balance of accuracy, speed, and computational cost compared to results for the baseline YOLOv8 and other common YOLO variants, offering an efficient solution for the real-time autonomous navigation of orchard management robots. Full article

Background: This study investigated the cross-sectional associations of personal and general views on aging, number of non-communicable diseases, and their interactions as cross-sectional predictors of vigorous physical activity. Methods: Participants were 1699 individuals aged 50 years and over (Mean age = 67.79) and living in the community in the UK; 70.8% were women. Participants completed measures assessing Awareness of Age-Related Gains and Losses (AARC-Gains; AARC-Losses; indicators of personal views on aging), Expectations Regarding Aging (ERA; indicator of general views on aging), vigorous physical activity in the last month, non-communicable disease status, and sociodemographic questions. Linear regression models were used. Results: After having adjusted for age, sex, education, marital status, and working status, higher AARC-Gains, lower AARC-Losses, more positive ERA, and fewer non-communicable diseases were cross-sectionally associated with greater likelihood of engagement with vigorous physical activity (Adjusted models Odds Ratio (OR) of 1.08; 0.86; and 1.06, respectively). The interactions of AARC-Gains and AARC-Losses with number of non-communicable diseases as cross-sectional predictors of likelihood of engagement with vigorous physical activity were not statistically significant. The interaction between ERA (i.e., General Views on Aging) and number of non-communicable diseases was a statistically significant cross-sectional predictor of likelihood of engagement with vigorous physical activity (OR = 0.99; p = 0.044). Conclusions: Having more positive and less negative views on aging may prompt vigorous physical activity engagement. Moreover, positive general views of aging may be particularly important for physical activity among those who have one or more non-communicable diseases. Although we cannot infer causality, promoting positive views on aging and decreasing negative views on aging could help fostering active aging, especially among those with physical health conditions. Full article

This study analyses how early childhood teachers experience their local curricula-updating process provoked by the national policy changes. This is a relevant problem related to teachers’ agency, which is critical in supporting and developing curriculum policies or opposing them. The hermeneutic phenomenological approach (van Manen) was used to uncover the pre-reflective lived experiences of teachers through phenomenological interviews with 16 teachers. The lived experiences of local curriculum updates triggered by the national preschool curriculum guideline were a dualistic phenomenon manifesting as open and hidden voices of teachers. The open voices metaphor revealed the pre-reflective experiences increasing the openness of teachers to changes, while the hidden voices represented a pre-reflective experience of threat to established concepts and practices resulting in defensive reactions. These dualistic experiences appeared in five emergent categories: resonating body: vitality vs. freezing (Corporeality); teamwork during a critical moment: safe sustainability vs. uncertainty (Relationality); competing spatial perspectives: new possibilities vs. conflicting visions (Spatiality); altered perception of time: third wave vs. lost time (Temporality); and awakened existential questions: intentional self-reflection vs. conflict of roles (Existentiality). This paper highlights tensions between the national policies and the professional authenticity of teachers and the importance of teachers’ agency in the change context. Full article

Genealogy is the study of family history and ancestral lineage, tracing relationships across generations through records and narratives. The digital revolution has shifted genealogical research from traditional archives to online platforms. Grounded in knowledge co-creation theory, this study examined the role of social media communities and their managers as knowledge hubs within the genealogical ecosystem. Its central innovation lies in identifying two emerging actors in modern genealogical knowledge ecology: the online community as a hub of expertise and the community manager as a key figure in knowledge creation. Drawing on interviews with fifteen Facebook managers of genealogical communities from diverse Jewish backgrounds worldwide, the study explored their perceptions of online genealogical spaces and their roles as facilitators of knowledge. Participants demonstrated a high level of professionalism and thoughtful engagement with sources; however, verifying the accuracy of genealogical claims was not within the scope of this study. Interviews were conducted in English and Hebrew based on participant preference. Thematic analysis revealed five key areas: two focused on the community’s role as a knowledge hub for both members and outsiders, and three on the manager’s role through self-perception, member engagement, and strategic initiatives. As part of a broader dissertation, this chapter deepens understanding of collaborative, community-driven genealogical knowledge in the age of social media. Full article