Search Results (13,508)

Adolescents and Young adults (AYAs: 15–39 years) diagnosed with cancer face unique medical and psychosocial challenges requiring specialized care. This study conducted an environmental scan of AYA-specific programming and services currently offered across Canadian tertiary care centres. Key informants from pediatric and adult cancer centres in Canada reported on program logistics, AYA specialized staff and training opportunities, and collaboration between centres, funding, and specific areas of interest for AYA care such as palliative care, fertility, fatigue, and sexual health. Surveys were completed by 13/16 (81%) pediatric sites and 19/23 (83%) adult sites. Only about half of pediatric sites (n = 8/13) and adult sites (n = 9/19) who responded reported offering any AYA-specific cancer services or programming. One third of centres without programming reported to be working on developing programming. Only 6 sites reported to offer specialized AYA training. Several barriers were reported, such as the need for collaboration among institutions and improvement of oncofertility services. Significant disparities exist regarding geographic availability of services, the range of services available, and the populations served. Findings will guide researchers, health professionals, and provincial health authorities in the development of highquality and equitable services and programs for AYAs diagnosed with cancer across Canada. Full article

Ophiocordyceps sinensis is a precious medicinal material with significant pharmacological and economic value. However, the visual similarity between its wild and cultivated forms poses a challenge for authentication. This study investigates the influence of specimen orientation on the accuracy of hyperspectral identification. Hyperspectral data were systematically acquired from four standard specimen orientations (left lateral, right lateral, dorsal, and ventral) for each sample. Random Forest (RF), Support Vector Machine (SVM), Logistic Regression (LR), and Fully Connected Neural Network (FCNN) models were trained and evaluated using both single-orientation and multi-orientation fused data. Results indicate that the LR model achieved superior and stable performance, with an average identification accuracy exceeding 98%. Crucially, for all tested models, no statistically significant difference in identification accuracy was observed across the different specimen orientations. This finding demonstrates that specimen orientation does not significantly influence identification accuracy. The conclusion was further corroborated in experiments using randomly orientation-fused datasets, in which model performance remained consistent and reliable. It is therefore concluded that precise specimen orientation control is unnecessary for the hyperspectral identification of Ophiocordyceps sinensis. This insight substantially simplifies the hardware design of dedicated identification devices by eliminating the need for complex orientation-fixing mechanisms and facilitating the standardization of operational protocols. The study provides a practical theoretical foundation for developing cost-effective, user-friendly, and widely applicable identification instruments for Ophiocordyceps sinensis and offers a reference for similar non-destructive testing applications involving anisotropic medicinal materials. Full article

The rhesus macaque (Macaca mulatta) is a valuable model for pregnancy research due to its physiological similarity to humans and the ability to conduct studies in a controlled environment. Our previous work used non-invasive imaging methods to assess placental hemodynamics across gestation with correlative tissue analysis post-delivery. Here, we expand access to longitudinal timepoints from ongoing pregnancies by obtaining placental biopsies using ultrasound-guided needle aspiration. This approach aligns with New Approach Methods (NAMs) and supports animal welfare by reducing the number of animals required. We describe a chorionic villus sampling (CVS) simulation model which facilitates training to gain proficiency in technical skills prior to performing the procedure on animals. We report outcomes from three rhesus macaques that underwent CVS three times between gestational days 40 to 106 (term: 165 days). Although biopsy samples are smaller than whole placenta, tissue yields were sufficient for multiple uses. We demonstrate (1) appropriate histology from aspirated samples, (2) good RNA quality and yield, and (3) the ability to isolate trophoblast organoids, an advancement in NAMs that reduces the need for first-trimester surgical delivery. No spontaneous preterm delivery occurred following serial CVS procedures, supporting the use of this sampling method to maximize animal utilization in longitudinal pregnancy studies. Full article

Background/Objectives: Primary health care (PHC) is the cornerstone of any high-quality healthcare system. For PHC to work well, healthcare professionals need to be skilled in critical thinking, self-reflection, and patient-centered care. However, few studies have explored the potential interplays between these factors. Therefore, this cross-sectional study evaluated the critical thinking disposition and training needs of PHC professionals, alongside patient experiences and satisfaction with PHC services. Methods: The study involved 54 PHC professionals and 100 patients from sixteen PHC facilities in Crete, Greece. Professionals completed the Critical Thinking Disposition Scale (CTDS) and Training Needs Assessment (TNA) questionnaires, while patients filled out the Quality-of-Life Instrument of Chronic Conditions in Primary Health Care (QUALICOPC) questionnaire. Results: Our findings indicated that PHC professionals exhibited high critical thinking levels (CTDS, mean score of 46.46 ± 4.24). However, TNA scores suggested moderate training needs, particularly in relationships/investigations [median: 0.50 (0, 1.50)], communication/patient-centered [median: 0.30 (0, 1.1)], and flexibility and application of knowledge [median: 0.40 (0, 1.0)]. Nevertheless, no significant correlation was found between CTDS and TNA (ρ = 0.08, p > 0.05). Patients mostly rated their health as poor (40%), and 26% lacked a family physician. Although patients were highly satisfied with communication and patient-centered care (>95% reporting positive experiences), continuity and empowerment had room for improvement. Only 37% felt their GP knew their living conditions, and 26% lacked a personal physician. Patients with chronic conditions reported significantly different experiences. Specifically, patients with chronic conditions had better continuity of care (84% vs. 59%, p = 0.01) and more comprehensive care (70% vs. 43%, p = 0.01) compared to controls. Conclusions: Our findings suggest that targeted training is needed for PHC professionals to address skill gaps. These initial findings could guide the creation of customized professional development initiatives and point to areas where PHC services could be structurally improved. Additional studies, including longitudinal ones, are required to further validate these associations. Full article

Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease characterized by airflow limitation. Apart from airflow limitation, patients with COPD may also suffer from extra-pulmonary features such as lower limb muscle dysfunction that contribute to an impaired health status. Since the latest statement on lower-limb muscle dysfunction in COPD in 2014, substantial new evidence has emerged with regard to molecular, cellular, and functional mechanisms underlying muscle plasticity. Therefore, this review aims to provide an updated overview of molecular, cellular, and functional mechanisms of lower-limb muscle plasticity in COPD, integrating evidence that has emerged since the 2014 statement on lower limb muscle dysfunction. Additionally, the effects of exercise training on mechanisms of limb muscle dysfunction are explained. From the evidence of the last decade, it can be concluded that limb muscle dysfunction is a multifactorial process driven by both intrinsic alterations and impairments to the muscle as well as extra-pulmonary influences, thereby reinforcing the need for integrated therapeutic strategies. Full article

(1) Background: Drug–drug interactions (DDIs) are a frequent cause of medication-related harm, particularly in ambulatory care. Community pharmacists are uniquely positioned to identify and manage these risks. This study assessed DDI knowledge, practices, and barriers among community pharmacists in the Jazan Region, Saudi Arabia. (2) Methods: A structured, self-administered questionnaire was distributed to community pharmacists. The survey assessed DDI knowledge using 26 clinically relevant drug pairings and included questions on professional behavior, training exposure, software use, and educational needs. Descriptive and inferential statistics were applied to identify associations between knowledge scores and demographic or practice-related variables. (3) Results: A total of 219 pharmacists participated in the study. The mean knowledge score was (9.63 ± 4.58) out of 26, reflecting suboptimal to moderate awareness. Female pharmacists demonstrated significantly higher DDI knowledge scores than males (10.74 ± 5.4 vs. 9.08 ± 4.2; p = 0.016). Knowledge scores also differed significantly by academic qualification (p < 0.001), with PharmD holders scoring higher than B. Pharm and postgraduate degree holders. Pharmacists with less than 10 years of experience had significantly higher scores compared with those with longer practice duration (p = 0.002). Additionally, pharmacists who graduated from Saudi institutions scored higher than those trained outside Saudi Arabia (10.22 ± 4.7 vs. 8.44 ± 4.2; p = 0.005). Pharmacists who had received professional development training and those who attended workshops regularly also scored significantly higher. Familiarity with guidelines showed a positive trend. Reported barriers to effective DDI counseling included time constraints, limited patient understanding, and poor collaboration with prescribers. Self-rated awareness of DDIs was positively associated with actual knowledge scores. Pharmacists expressed strong preferences for workshops, online courses, and webinars as future training formats. (4) Conclusions: Pharmacists in the Jazan Region demonstrate moderate awareness of DDIs, with variation influenced by training, experience, and qualifications. Enhancing access to structured professional development and integrating clinical decision support tools could strengthen pharmacists’ role in preventing DDIs in community practice. Full article

Achieving food and nutrition security remains a significant challenge for small-scale farmers in Sub-Saharan Africa (SSA). However, indigenous vegetables offer a promising solution to this challenge. This systematic review used four databases and retrieved 38 studies published over the past 20 years for synthesis. These studies highlight the growing importance of indigenous vegetables grown in home gardens as a sustainable solution to improve livelihoods and dietary diversity. Indigenous vegetables are well-suited to local conditions, nutritionally rich, and were associated with improved household food availability and income. However, farmers face various risks, including environmental, technological, economic, institutional, and social risks, which threaten their production. To overcome risks, farmers adopt strategies such as training, cooperatives, improved storage, and better seed varieties. Indigenous vegetable cultivation also empowers women and marginalised groups who play key roles in home gardening. Despite their benefits, indigenous vegetables remain overlooked in mainstream markets and policies. The review recommends that policymakers and stakeholders must provide support to promote indigenous vegetables through training and market integration, helping farmers commercialise their produce, while simultaneously enhancing food and nutrition security. Further research is needed to explore the profitability of indigenous vegetable production, analyse supply value chains, and investigate processing and manufacturing opportunities to support their market potential and sustainability. Full article

Teacher education represents a global strategic priority for improving educational systems and fostering inclusive, high-quality processes. Recent studies highlight the need for systematic and replicable education models capable of addressing the challenges of contemporary complexity and bridging the gap between theory and practice. Teaching professionalism is increasingly recognized as a key driver of change, requiring a balance of pedagogical, relational, and technological competences, along with strong reflective capacity. Within this framework, practicum programs play a crucial role for the development of professional identity and authentic teaching skills. Methods: This contribution adopts a theoretical–argumentative approach grounded in a critical analysis of the international scientific literature on teacher education, with specific focus on the role of practicums. The aim is to present the model implemented by Pegaso University in the context of practicum activities within initial teacher education programs to outline an interpretative framework and provide pedagogical reflections in light of the results arising from critical reflection and systematic monitoring (not covered in this specific contribution) of the effectiveness of the model implemented in the first two training cycles (academic years 23–24 and 24–25), with the involvement of 5 regions and a total of 2834 teachers in the first cycle and 10 regions and a total of 5551 teachers in the second cycle. Convenience sampling based on a non-probabilistic method was adopted, using the entire sample of teachers admitted to the training program who met the requirements of Article 7 of the Decree of the President of the Council of Ministers (DPCM). Results: This paper outlines the theoretical and methodological trajectories of the model, offering interpretative frameworks and pedagogical reflections in light of the outcomes achieved during the initial implementation phase. Conclusions: In accordance with recent national and European regulatory frameworks, the Pegaso teaching model is presented as an example of good practice for initial teacher education. It aims to foster a reflective, situated, and responsible teaching professionalism, moving beyond traditional approaches toward a continuous and transformative learning process. Full article

Background: Food insecurity among college students is a multidimensional challenge shaped by individual, interpersonal, institutional, community, and policy factors. Although many campuses require or provide meal plans, students may experience food insecurity when barriers related to agency (choice and autonomy), utilization (nutrition security), and availability persist. This study explored how undergraduate students at a private, urban U.S. university experience and navigate the multiple dimensions of food insecurity. Methods: We conducted in-depth, semi-structured interviews via Zoom between December 2024 and January 2025 with n = 22 undergraduate students recruited based on food security status, determined by a Fall 2024 longitudinal survey using the USDA Six-Item Short Form. Transcripts were double-coded by trained research assistants in ATLAS.ti using an inductive codebook. Thematic analyses followed a phronetic, iterative approach, organizing findings within a socio-ecological determinants framework and comparing themes by food security status. Results: We identified nine themes across four domains (individual, interpersonal, institutional and community, and political). At the individual level, constrained personal resources for groceries and cooking, time scarcity leading to skipped meals, and health impacts that detracted from academics emerged as key themes. Interpersonally, reliable family financial support was protective and informal support from peers/coaches filled gaps sporadically for some. At the institutional and community level, dining hall hours misaligned with student schedules, perceived limited variety and nutrition quality reduced food agency and utilization, and transportation impeded use of the sole grocery partner accepting university meal plan benefits. Notably, meal plans including unlimited meal swipes provided stable access but did not guarantee food security when food agency and utilization barriers persisted. Many students relied on campus events for free food; formal assistance (e.g., food pantry) was largely underused. At the policy level, Supplemental Nutrition Assistance Program (SNAP) awareness and enrollment was limited among our sample. Conclusions: Meal plan access alone is insufficient to ensure food security. Campus strategies should extend beyond access to prioritize flexibility, variety, and alignment with students’ schedules and preferences, while strengthening communication and eligibility support for external benefits. Future work should design and evaluate interventions that integrate all dimensions of food security and address institutional policies affecting students’ basic needs. Full article

Access to health care is a fundamental human right established in various legal frameworks worldwide. However, increasing evidence indicates that individuals with physical disabilities in rural Ethiopia continue to face barriers and disparities in accessing health care, leading to unmet needs and worsening health. Guided by Critical Disability Theory and Intersectionality Theory, this instrumental case study explored the barriers to accessing primary health care (PHC) for adults with physical disabilities in rural Ethiopia and examined how disability intersects with poverty, gender, and rurality to shape exclusion. Following purposeful sampling, we conducted 14 interviews and one focus group discussion (n = 7) with adults with physical disabilities, supplemented by PHC facility infrastructure observation. Using reflexive thematic analysis, we identified intersecting barriers across four domains: physical and environmental barriers, socioeconomic marginalization, socio-cultural stigma and attitudinal barriers, and systemic weaknesses in health service delivery. This revealed that disability-related barriers are rooted in structural ableism and intersecting inequities, underscoring the urgent need for inclusive policies and disability-inclusive practices. Such practices include enforcing accessibility standards, expanding community-based health insurance to cover disability-specific needs, supporting transportation, and providing disability-specific training for health professionals. Implementing these practices is essential to advancing disability rights and ensuring equitable health access in Ethiopia. Full article

There is a lack of focus on psychological support for fathers in Neonatal Intensive Care Units (NICUs), both in research and practice, with fathers receiving far less support from NICU providers as compared with mothers. This article aims to discuss the current literature and limitations related to providing psychological support to fathers in the NICU and proposes short- and long-term efforts for improving psychological care for NICU fathers. We conducted a narrative literature review to summarize interventions for supporting fathers in the NICU, including emotional support, educational support, social support, family-integrated care, and multi-component interventions. While initial work is promising, there are major limitations. Very few studies have examined interventions specific to providing support to fathers in the NICU, and little work has investigated differences in the support needs and responses to interventions for NICU fathers as compared with mothers. Fathers have historically been overlooked in the NICU. Given the growing recognition of paternal mental health challenges and their impact on infant development, there is a pressing need for efforts aimed at supporting fathers in the NICU. Efforts must consider system structure, policy, multidisciplinary training, and implementation protocols to improve the quality of care provided to NICU fathers. Full article

Aquaculture has grown rapidly worldwide and has become a key source of food and employment opportunities. However, its expansion faces environmental, health, reproductive, and technological challenges that threaten its long-term sustainability. In this context, biologists play a crucial role in promoting sustainable practices and integrated management of aquaculture systems. This article reviews their main contributions to animal health, genetic improvement, assisted reproduction, and resource conservation. They also highlight their leadership in applying advanced technologies, including biotechnology, nanotechnology, and genetic engineering. Moreover, this study explores emerging research trends and emphasizes the importance of interdisciplinary training to address the evolving demands of the sector. This underscores the need to strengthen collaboration between science, technology, and public policy to ensure sustainable aquaculture. Enhancing the role of biologists is essential for overcoming current challenges and advancing efficient, ethical, and environmentally responsible aquaculture systems that meet global demand. Full article

Fused deposition modeling (FDM) suffers from unpredictable mechanical properties in nominally identical prints. Current quality assurance relies on destructive testing or expensive post-process inspection, while existing machine learning approaches focus primarily on printing parameters rather than real-time thermal environments. The objective of this proof-of-concept study is to develop a low-cost, non-destructive framework for predicting tensile strength during FDM printing by directly measuring convective thermal gradients surrounding the print. To accomplish this, we introduce thermal fingerprinting: a novel non-destructive technique that combines Background-Oriented Schlieren (BOS) imaging with machine learning to predict tensile strength during printing. We captured thermal gradient fields surrounding PLA specimens (n = 30) under six controlled cooling conditions using consumer-grade equipment (Nikon D750 camera, household hairdryers) to demonstrate low-cost implementation feasibility. BOS imaging was performed at nine critical layers during printing, generating thermal gradient data that was processed into features for analysis. Our initial dual-model ensemble system successfully classified cooling conditions (100%) and showed promising correlations with tensile strength (initial 80/20 train–test validation: R² = 0.808, MAE = 0.279 MPa). However, more rigorous cross-validation revealed the need for larger datasets to achieve robust generalization (five-fold cross-validation R² = 0.301, MAE = 0.509 MPa), highlighting typical challenges in small-sample machine learning applications. This work represents the first successful application of Schlieren imaging to polymer additive manufacturing and establishes a methodological framework for real-time quality prediction. The demonstrated framework is directly applicable to real-time, non-contact quality assurance in FDM systems, enabling on-the-fly identification of mechanically unreliable prints in laboratory, industrial, and distributed manufacturing environments without interrupting production. Full article

Forensic anthropology, a specialized branch of biological anthropology, plays a crucial role in the identification of human remains, particularly when conventional methods such as fingerprinting are not applicable. In Ecuador, its relevance has increased in response to challenges such as intentional deaths, forced disappearances, violence, mass fatalities, and migration-related deaths. Despite its growing importance, the field faces significant limitations, including restricted access to advanced technologies, limited training opportunities for local forensic anthropologists, and insufficient resources for research and the application of advanced methodologies for victim identification. This article examines the development and current state of forensic anthropology in Ecuador, emphasizing the urgent need for population-specific standards, the establishment of a national osteological collection, and stronger institutional support. It also highlights the contributions of bioarchaeological research and its potential to enhance forensic practices. By analyzing the challenges of identifying skeletonized human remains and other instances of human rights violations, the study underscores the necessity of advancing forensic anthropology in the country. The article further discusses how interdisciplinary efforts have contributed to forensic knowledge in Ecuador and concludes by emphasizing the importance of ethical guidelines, technological integration, and improved infrastructure to strengthen forensic anthropology as both a scientific discipline and a humanitarian tool. Full article

Engineering is suffering a significant change driven by the integration of artificial intelligence (AI) into engineering optimization in design, analysis, and operational efficiency across numerous disciplines. This review synthesizes the current landscape of AI-driven optimization methodologies and their impacts on engineering applications. In the literature, several frameworks for AI-based engineering optimization have been identified: (1) machine learning models are trained as objective and constraint functions for optimization problems; (2) machine learning techniques are used to improve the efficiency of optimization algorithms; (3) neural networks approximate complex simulation models such as finite element analysis (FEA) and computational fluid dynamics (CFD) and this makes it possible to optimize complex engineering systems; and (4) machine learning predicts design parameters/initial solutions that are subsequently optimized. Fundamental AI technologies, such as artificial neural networks and deep learning, are examined in this paper, along with commonly used AI-assisted optimization strategies. Representative applications of AI-driven engineering optimization have been surveyed in this paper across multiple fields, including mechanical and aerospace engineering, civil engineering, electrical and computer engineering, chemical and materials engineering, energy and management. These studies demonstrate how AI enables significant improvements in computational modelling, predictive analytics, and generative design while effectively handling complex multi-objective constraints. Despite these advancements, challenges remain in areas such as data quality, model interpretability, and computational cost, particularly in real-time environments. Through a systematic analysis of recent case studies and emerging trends, this paper provides a critical assessment of the state of the art and identifies promising research directions, including physics-informed neural networks, digital twins, and human–AI collaborative optimization frameworks. The findings highlight AI’s potential to redefine engineering optimization paradigms, while emphasizing the need for robust, scalable, and ethically aligned implementations. Full article