Search Results (509)

Background: The aim of this study was to develop an artificial intelligence (AI)-based decision support model for evaluating the extraction indication of permanent first molars in pediatric patients using panoramic radiographs, and to investigate the potential contribution of this model to the clinical decision-making process. Methods: This retrospective observational study analyzed 1000 panoramic radiographs obtained from children aged 8–10 years who attended the Clinics of Batman University Faculty of Dentistry for routine dental examination. Among the radiographs meeting the inclusion criteria, a total of 176 panoramic images were selected based on dental maturation assessment using the Demirjian tooth development staging system. Cases in which the permanent second molar was classified as Demirjian stages E–F were labeled as “extraction indication present”, while the remaining stages were labeled as “extraction indication absent”. A balanced dataset was created, consisting of 88 cases in each group. Image features were extracted using Gabor filters and Histogram of Oriented Gradients (HOG). The selected features were analyzed using a Support Vector Machine (SVM) classifier with a radial basis function (RBF) kernel. Model performance was evaluated using accuracy, sensitivity, specificity, F1-score, and area under the receiver operating characteristic curve (ROC–AUC). Results: The proposed Gabor–HOG–SVM-based AI model achieved an overall classification accuracy of 77.78% with an AUC value of 0.77 in distinguishing between “extraction indication present” and “extraction indication absent” cases. For the extraction-indicated group, the sensitivity was 0.81 and the F1-score was 0.79, whereas for the non-indicated group, the sensitivity and F1-score were 0.74 and 0.77, respectively. No statistically significant differences were observed between the groups in terms of age or sex distribution (p > 0.05). Conclusions: This study demonstrates that artificial intelligence-based analysis of panoramic radiographic images can provide an objective and reproducible decision support approach for evaluating extraction indications of permanent first molars in pediatric patients. The proposed model should be considered as an adjunctive tool to reduce observer-dependent variability rather than a replacement for clinical judgment, and its clinical applicability should be further validated through multicenter and multi-parametric studies. Full article

Background/Objectives: University faculty in health sciences are an underexplored population despite facing significant emotional, occupational, and organizational demands due to their dual role as educators and health professionals. These demands may increase vulnerability to perceived stress, burnout, and reduced professional quality of life. Although previous research has primarily focused on stress and burnout, evidence integrating occupational balance and personal resources, such as sense of coherence, from an occupational health perspective remains limited. This study aimed to examine perceived stress, professional quality of life, occupational balance, and satisfaction with meaningful occupations among health sciences faculty in Spain, and to analyze their associations with individual, occupational, and organizational factors within an occupation-centered and salutogenic framework. Methods: A cross-sectional observational study following STROBE guidelines was conducted with 253 health sciences faculty members from Spanish universities. Data were collected through an anonymous online questionnaire including validated instruments (PSS-10, OBQ-E, ProQoL, SOC-13) and items on occupational satisfaction and perceived institutional support. Descriptive statistics, t tests, one-way ANOVA, and Pearson correlation analyses were performed. Results: Participants reported moderate levels of perceived stress and occupational balance, high overall professional quality of life satisfaction, and moderate levels of compassion fatigue. Higher perceived stress scores were observed among women and younger faculty members. Occupational balance, burnout, and satisfaction measures showed significant differences according to age and years of teaching experience. Perceived institutional support differed across organizational domains, academic positions, and types of institution. Conclusions: Health sciences faculty in Spain experience notable psychosocial demands affecting stress, occupational balance, and professional quality of life. Occupational balance and sense of coherence emerged as relevant constructs associated with lower perceived stress and burnout and higher professional satisfaction. By integrating these occupation-centered and salutogenic resources, the study extends existing research beyond traditional stress–burnout models and contributes to a more comprehensive understanding of professional well-being among health sciences faculty. Full article

The hands of dental students and practitioners are a key epidemiological factor in the transmission of infections associated with dental care. Strict adherence to the established hand hygiene protocols, combined with regular training and monitoring the quality of the performed hygienic hand disinfection, is crucial for ensuring safe dental practice. Objectives: The aim of the study is to assess the quality of hand antisepsis performed with alcohol-containing preparation among dental students and practicing dentists. Methods: A prospective epidemiological and microbiological study was conducted on 225 people—149 students from the 4th, 5th and 6th year of training at the Faculty of Dental Medicine, Plovdiv, and 76 dentists. The skin antiseptic was applied according to the “six steps” method with alcohol-based antiseptics. The samples were taken with a dry sterile swab. Results: The comparison between students and practicing dental medical doctors shows that the latter have a higher relative share of samples with microbiological growth 12 (15.8%), including coagulase-negative staphylococci (CoNS) above 10⁵ CoNS, compared to students 6 (4.0%), (p = 0.004). Gram-negative microbiological isolates indicate a statistically significant gender dependence (p = 0.016)—15 in men (15.8%), compared to 7 in women (5.4%). Growth of fungi (yeasts and mols) is statistically significant depending on gender (p = 0.015) and is observed only in men. Conclusions: The presence of significant microbial counts of CoNS is an indicator of insufficiently effective hygienic hand disinfection. The recovery of Gram-negative enteric bacteria is unacceptable and suggests serious shortcomings in the hygienic disinfection of some of the samples studied. Students demonstrated superior hand antisepsis performance compared to practicing dentists. Full article

Higher education has undergone a profound transformation since the release of ChatGPT in November 2022. The introduction of this tool generated immediate interest among students while simultaneously provoking concern among faculty, who perceived it as an unparalleled pedagogical challenge. This study aims to analyze how university students use generative Artificial Intelligence (Gen AI). To this end, an online survey (n = 281) was administered to journalism students at the Universitat Jaume I de Castelló (Spain). Specifically, the study examined the frequency of use, academic applications, interaction patterns, evaluation of outcomes, and ethical perspectives regarding GenAI tools. The results indicate that 93% of students report using Gen AI, with significantly higher usage among advanced students (i.e., 3rd and 4rth academic year Journalism degree students) [F(1, 279) = 11.09, p < 0.001, n² = 0.038]. Moreover, 77.2% of respondents use it for learning or studying, while 44.2% use it to complete class assignments. Regarding motivation, the data show that students primarily turn to artificial intelligence to perform tasks more efficiently and effectively and to achieve better results. Although students acknowledge certain risks in the academic use of Gen AI, they perceive its benefits more clearly than its limitations. Additionally, they are aware that they need more AI literacy. These findings provide valuable insights for reorienting undergraduate curricula to address the challenges of generative AI and to educate students on its ethical and appropriate use. Full article

This study evaluates the service quality of smart campus dining services as a core element of sustainable school meal governance and health-promoting campus environments. A structured questionnaire grounded in the five SERVQUAL dimensions—tangibles, reliability, responsiveness, assurance, and empathy—was administered to 375 users of a smart campus catering platform, including students, faculty and staff, and education administrators from 20 counties and cities in Taiwan. The data were analyzed using gap analysis, confirmatory factor analysis, multiple regression, and Importance–Performance Analysis (IPA) to identify major service quality gaps and sustainability-oriented improvement priorities. The results show that tangibles, reliability, responsiveness, and assurance significantly predict overall service quality, with assurance exerting the strongest effect, while empathy is highly correlated with the other dimensions. IPA further indicates that outdated or insufficient smart facilities fall into the high-importance/low-performance area and thus represent a critical weakness. These findings provide empirical evidence for data-driven and user-centered management of school meal services, supporting more efficient resource allocation, AI-assisted menu planning, and IoT-based food safety monitoring. By linking service quality assessment with sustainable campus governance, the study contributes to efforts to promote healthy eating, reduce food waste, and strengthen localized food supply collaboration, in line with Sustainable Development Goals related to health, education, and responsible consumption. Full article

The competency-based medical education (CBME) curriculum was introduced recently for undergraduate courses in medical institutions in India. The program needs a paradigm shift in the teaching and assessment methods. Therefore, challenges at the individual as well as organizational level are expected in the initial years of implementation. We used a mixed-method approach through focus group discussions (FGD) and an online survey to assess the perception and attitude of MBBS phase 1 and 2 teachers towards CBME. Themes were generated from FGD, and quantitative data were collected using a structured questionnaire through an online survey. Nearly 80% of the participating faculty perceived that the CBME curriculum was better than traditional teaching methods. Major challenges were either related to a deficiency of curriculum-optimized learning material (85%), material infrastructure (38%), and manpower (46%), or increased documentation (74%), and time constraints (52%). The faculty felt attitudinal change (63%), better acquaintance with the professional environment (60%), improved participation (58%), and the performance of students (38%) were major commendations of CBME. The CBME curriculum is a welcome change in Indian medical teaching institutes, and faculty intend to improve it through feedback mechanisms. The perceived complexities need to be addressed at different levels through collaborative approaches. Full article

The integration of artificial intelligence (AI), particularly large language models (LLMs), into education, marks a profound shift in how knowledge is accessed, processed, and applied. These tools offer clear advantages—including improved efficiency, immediate support, and high productivity—but it may simultaneously weaken foundational skills. This Perspective examines the dual impact of AI on education, arguing that over-reliance on AI may displace essential cognitive processes that reinforce professional competence. Emerging evidence points to troubling associations between frequent AI use and diminished critical reasoning. We propose a model of critical alliance, in which AI augments but does not replace core intellectual processes. Unlike existing AI competency or digital literacy, this model centers on preserving human cognitive agency, judgment, reflection, and intellectual ownership, as primary educational outcomes. This framework not only emphasizes cognitive independence, but also equitable access, ethical vigilance, and faculty development as cornerstones of AI literacy. Addressing these questions is essential to safeguard both intellectual growth and educational equity in an AI-augmented era. Unlike existing digital literacy or AI competency frameworks, the critical alliance explicitly centers on preserving human cognitive agency and intellectual ownership as educational priorities, particularly in environments increasingly shaped by high-performing generative systems. Full article

Background/Objectives: Anaphylaxis is a rare occurrence in dental practice, yet when it happens, it demands swift management, as untreated cases can be fatal. The aim of this study is to evaluate the level of knowledge among dental students and residents regarding the symptoms and management of anaphylactic emergencies in dental surgery. Methods: The study involved a sample of 236 students from the 3rd and 5th years, and residents in their 1st and 2nd years of the General Dentistry programme at the Faculty of Dental Medicine in Iași, Romania. The response rate to the invitation was 85.8%. Knowledge was assessed using a self-administered questionnaire consisting of 18 questions organised into three sections, which were tested for internal consistency, yielding a Cronbach’s alpha value of 0.731. Results: Statistically significant differences in the responses provided by the three categories of participants were observed for the following items: management of patients with an allergic background (p = 0.033), factors aggravating allergic predisposition (p = 0.001), the correct dose of epinephrine (p = 0.001), secondary medication (p = 0.001), and the timing of treatment initiation (p = 0.009). Questions where answers indicated moderate to low levels of knowledge (25–50% correct answers) concerned the therapeutic approach for patients with an allergic background, the site of adrenaline administration, and secondary medication. Conclusions: Overall, it can be observed that students demonstrated a high level of knowledge in questions related to the symptomatology of anaphylaxis and the therapeutic management of allergic patients, whereas residents showed better performance in questions addressing the therapeutic management of anaphylaxis. However, significant knowledge gaps were identified across all participant categories, suggesting that there must be periodic supplementary training. Full article

Table grapes are among the main fruit crops cultivated in Brazil, supported by cultivar diversity, technological advances, and adaptation to diverse edaphoclimatic conditions. Rootstock selection is critical in viticulture, influencing phenology, yield, and fruit quality. This study evaluated yield- and fruit-related production parameters, cluster characteristics, and biochemical composition of ‘BRS Núbia’ table grape grafted onto different rootstocks. The experiment was conducted at the Experimental Farm of the Faculty of Agricultural Sciences (UNESP), São Manuel, São Paulo, Brazil, using a randomized block design in a split-plot scheme (three rootstocks × three seasons) with seven replicates. Rootstocks included ‘IAC 572 Jales’, ‘IAC 766 Campinas’, and ‘Paulsen 1103’, while subplots corresponded to the first three production seasons after grafting. Evaluated variables comprised bud fruitfulness, yield, productivity, physical attributes of clusters, berries, and rachises, and in 2022, berry biochemical traits, including total phenolics, flavonoids, anthocyanins, and antioxidant activity. Rootstocks did not significantly affect bud fruitfulness or yield-related parameters. In contrast, production season markedly influenced vine performance, with the third (2023) season showing higher cluster and berry mass and size. Regarding fruit composition, vines grafted onto ‘Paulsen 1103’ and ‘IAC 766 Campinas’ showed greater accumulation of total phenolics and anthocyanins than those grafted onto ‘IAC 572 Jales’, overall. Full article

Introduction: Nursing informatics aims to improve patient care through rapid access to patient data, systematic assessment, a reduction in clinical errors, evidence-based practice, cost-effectiveness, and improved patient outcomes and safety. Background: Despite being the largest workforce in healthcare, nurses are not being adequately prepared to use nursing informatics, and this has been attributed to poor digital literacy, limited professional development, and a lack of undergraduate informatics education. Objectives: This scoping review aims to review contemporary published literature on the benefits, barriers, and enablers for embedding nursing informatics into undergraduate nursing education with a focus on the Australian healthcare context. Methods: A scoping review was conducted using the PRISMA-ScR checklist and the JBI Manual for evidence synthesis in adherence with an a priori scoping review protocol. A comprehensive search of JBI, Cochrane, CINAHL, Ovid, ProQuest, PubMed, and Scopus databases was performed. Two reviewers independently screened the results via Covidence, with discrepancies resolved via a third reviewer. Results: Two searches were conducted for this scoping review. In the first search, a total of 3227 articles were identified through database searches, with an additional 76 articles identified through bibliographic and grey literature searches. Following duplicate removal and screening, 46 articles met the inclusion criteria. In the second search, a total of 1555 articles were identified, and after duplicate removal and screening, 16 articles met the inclusion criteria. Duplicate removal during the second search round included those articles identified in the first search. The combined searches resulted in a total of 62 sources for this review. Conclusions: Despite the early adoption of nursing informatics in Australia in the 1980s, barriers remain to effective nursing informatics engagement and proficiency, including a lack of understanding of nursing informatics, limited infrastructure and resources, inadequate digital literacy of students and faculty, and the evolving nature of nursing informatics. Definitions of nursing informatics and associated fields, development of university faculty competency, access to digital health technologies, competency standards, digital literacy of the student cohort, faculty digital proficiency, and leadership from professional nursing bodies are all viewed as integral foundations for the development of student competency in nursing informatics. Full article

Background and Objectives: Interest in biomarkers reflecting the inflammatory nature of Hodgkin lymphoma (HL) is increasing. This study aimed to evaluate the prognostic significance of the Systemic Inflammation Response Index (SIRI) in patients with HL. Materials and Methods: In this study, 105 patients diagnosed with classical HL at the Hematology Clinic of Recep Tayyip Erdoğan University Faculty of Medicine between January 2015 and April 2025 were retrospectively evaluated. Patients were divided into 2 groups according to the SIRI cut-off value. Results: A high SIRI (≥3.78) was significantly associated with advanced disease stage, poor performance status, higher IPS-7 and IPS-3 scores, non-response or partial response to treatment, relapse, and increased mortality. A positive correlation was found between SIRI and IPS 7 scores (p < 0.001, rho = 0.355). In the univariate analysis for progression-free survival (PFS), hemoglobin, IPS 7 score, and SIRI were identified as prognostic factors; in the multivariate analysis, high SIRI was identified as an independent prognostic factor (p = 0.033). In the univariate analysis for overall survival (OS), age, hemoglobin, albumin, lymphocyte count, IPS 7 score, and SIRI were identified as prognostic factors; and, in the multivariate analysis, age over 45 and high SIRI were identified as independent prognostic factors (p = 0.016, p = 0.012). In the survival analysis, high SIRI levels were associated with shorter PFS and OS (p = 0.001, p < 0.001). Additionally, PFS and OS durations were shorter in patients with high IPS 7 scores (p < 0.001, p < 0.001). Conclusions: A high SIRI prior to treatment was identified as an independent prognostic factor in HL patients and was associated with shorter PFS and OS. This index may help identify high-risk patients and assist clinicians in their decision-making processes by enabling individualized risk assessment. Full article

Background: Burnout is a syndrome resulting from long-term, unmanaged work-related stress. This study aimed to evaluate the validity and reliability of the Serbian versions of BAT among fifth-year medical students at the University of Belgrade Faculty of Medicine. Methods: This cross-sectional study, which included a total of 431 students at the Faculty of Medicine, University of Belgrade, was conducted during the last week of November 2024. The study instruments used were the Burnout Assessment Tool (BAT) and the Copenhagen Burnout Inventory (CBI). Results: Cronbach’s alpha for the entire BAT scale was α = 0.946; for core burnout symptoms, it was α = 0.938; for the exhaustion scale, α = 0.865; for mental distance, α = 0.858; for cognitive impairment, α = 0.907; for emotional impairment, α = 0.878; for secondary symptoms, α = 0.863; for psychological distress, α = 0.791; and for psychosomatic complaints, α = 0.801. The EFA showed six factors that explained a total of 63.76% of the variance. Factor 1 explained 35.71% of the variance; factor 2 explained 9.81%; factor 3, 5.785%; factor 4, 5.415%; factor 5, 3.956%; and factor 6 explained 3.076% of the variance. After the elimination of the three items with the lowest loadings, the EFA showed five factors that explained a total of 63.347% of the total variance. Factor 1 explained a total of 36.637% of the variance; factor 2, 10.544%; factor 3, 6.345%; factor 4, 5.612%; and factor 5 explained a total of 4.209%. Conclusions: This study showed that the Serbian version of the BAT exhibits excellent reliability, clear factorial validity, and strong convergent and discriminative performance. Full article

Exposure to Particulate Matter (PM) is linked to respiratory and cardiovascular diseases, certain types of cancer, and accounts for approximately seven million premature deaths globally. While governments and organizations have implemented various strategies for Air Quality (AQ) such as the deployment of Air Quality Monitoring Networks (AQMN), these networks often suffer from limited spatial coverage and involve high installation and maintenance costs. Consequently, the implementation of networks based on Low-Cost Sensors (LCS) has emerged as a viable alternative. Nevertheless, LCS systems have certain drawbacks, such as lower reading precision, which can be mitigated through specific calibration models and methods. This paper presents the results and conclusions derived from simultaneous PM₁₀ and PM_2.5 monitoring comparisons between LCS nodes and a T640X reference sensor. Additionally, Relative Humidity (RH), temperature, and absorption flow measurements were collected via an Automet meteorological station. The monitoring equipment was installed at the Faculty of Environment of the Universidad Distrital in Bogotá. The LCS calibration process began with data preprocessing, which involved filtering, segmentation, and the application of FastDTW. Subsequently, calibration was performed using a variety of models, including two statistical approaches, three Machine Learning algorithms, and one Deep Learning model. The findings highlight the critical importance of applying FastDTW during preprocessing and the necessity of incorporating RH, temperature, and absorption flow factors to enhance accuracy. Furthermore, the study concludes that Random Forest and XGBoost offered the highest performance among the methods evaluated. While satellites map city-wide patterns and MAX-DOAS enables hourly source attribution, our calibrated LCS network supplies continuous, street-scale data at low CAPEX/OPEX—forming a practical backbone for sustained micro-scale monitoring in Bogotá. Full article

Background/Objectives: This study aimed to evaluate the prognostic value of ¹⁸F-FDG PET/CT-based secondary lymphoid organ metabolic ratios—spleen/liver (SLR), bone marrow/liver (BLR), and ileocecal region/liver (ILR)—and hematological inflammation markers (neutrophil/lymphocyte ratio [NLR] and systemic immune-inflammation index [SII]) obtained before nivolumab treatment in relation to survival in patients with advanced non-small cell lung cancer (NSCLC). Methods: This retrospective single-center study included 79 advanced NSCLC patients who were treated with nivolumab monotherapy at Marmara University Faculty of Medicine Hospital between 2022 and 2024. Pretreatment SLR, BLR, and ILR ratios were calculated from ¹⁸F-FDG PET/CT examinations; NLR and SII values were obtained from hematological data. Survival outcomes were analyzed using the Kaplan–Meier method, and prognostic factors were assessed using Cox proportional hazards regression analysis. In a subset of patients, an exploratory longitudinal analysis was performed using early follow-up PET/CT to assess follow-up-to-baseline changes in immune-organ metabolic ratios in relation to overall survival. Results: High NLR and SII levels were significantly associated with shorter progression-free survival and overall survival. In contrast, no significant associations were observed between PET/CT-derived metabolic ratios (SLR, BLR, and ILR) and survival. Multivariate analysis identified the presence of liver metastases and a high NLR as independent adverse prognostic factors for overall survival. Conclusions: In this homogeneous real-world cohort treated exclusively with single-agent nivolumab, PET/CT-derived secondary lymphoid organ metabolic ratios showed limited prognostic value at baseline and during early on-treatment assessment. In contrast, hematological inflammation markers, especially high NLR levels, are strong prognostic indicators of survival and may complement established clinical factors in risk stratification. Full article

Grounded in the United Nations Sustainable Development Goal 4 (SDG4), specifically addressing the urgent need to increase relevant skills for decent work (Target 4.4) while ensuring inclusive access and quality (Targets 4.3, 4.5, 4.c), this study develops a province-level indicator system for the “talent chain” and “industry chain” and integrates entropy-weighted composite evaluation, a coupling coordination model, correlation tests, and mismatch typology classification to systematically assess the alignment between higher education talent formation and industrial demand across 31 Chinese provinces during 2000–2022. The analysis aims to characterize China’s phase-specific progress in SDG4-consistent development at the education–industry interface and to provide a theoretical and empirical basis for improving graduate job matching. The results show that (1) overall talent–industry matching improved steadily from 2000 to 2022, yet pronounced regional disparities persist, with eastern provinces generally outperforming central and western regions; (2) educational quality and structural inputs—such as faculty capacity, per-student expenditure, and the composition of human capital—are the primary drivers of talent-chain performance, whereas expansion-oriented indicators exhibit limited marginal contributions, implying that sustainable graduate job matching hinges more on quality upgrading and supply-structure optimization than on quantitative expansion alone; (3) industry-chain advancement is jointly driven by industrial scale, structural upgrading, and employment absorptive capacity, with the tertiary sector playing a particularly prominent role in shaping demand for higher-skilled labor; and (4) a divergence in driving mechanisms—quality- and structure-oriented on the education side versus scale- and structure-oriented on the industry side—combined with regional heterogeneity produces stage-specific mismatch typologies, suggesting remaining scope for structural alignment between higher education systems and industrial upgrading. Overall, strengthening regional coordination, integration, quality, and upgrading drives synergistic development, advancing SDG 4 targets by validating that quality-driven education reform is the key lever for sustainable employment in China. Full article