Search Results (3,509)

Construct-irrelevant variance (CIV), defined as excessive variance that is unrelated to the intended construct, poses a significant threat to the validity of test interpretations and applications. CIV can arise from two notable sources: construct-irrelevant items, which include items with content unrelated to the construct being measured, and redundant items, which repeat information already captured by other items, leading to individual fatigue and inflated reliability estimates. This study explores the detection of CIV using network psychometrics in comparison with traditional psychometrics methods. The study utilizes the HEXACO-PI dataset, focusing on six personality dimensions, and applies network psychometrics techniques such as Exploratory Graph Analysis and Unique Variable Analysis. These techniques are compared against traditional methods, such as reliability and factor analysis, to assess their effectiveness in identifying CIV items. Results highlight the potential of network psychometrics as a complementary approach for enhancing the structural integrity of psychological instruments, with 89% agreement in the number of identified CIV items. This comparison provides insights into alternative methods for improving psychological instruments, with implications for the future of psychometric evaluation. Full article

Background: In recent decades, the emigration of Bulgarian health professionals has become a persistent challenge driven by multiple interplaying factors. A comprehensive understanding of these key determinants is essential for the development of targeted retention strategies. This study examines the primary factors influencing the migration and retention of physicians and nurses in Bulgaria. Methods: A cross-sectional study was conducted in 2022 involving 338 health professionals without professional experience abroad. Data were collected using an online questionnaire administered by a polling agency. To identify the underlying structure of the driving and retention factors, we conducted Exploratory Factor Analysis (EFA). Subsequently, the Mann–Whitney U test was employed to examine the differences in retention and motivational factors between physicians and nurses. Results: EFA of the migration drivers identified a three-factor structure, explaining 70.34% of the total variance: professional advancement and work environment; financial incentives; and family benefits. The analysis of retention determinants revealed three distinct constructs, explaining 54.46% of the variance: socioeconomic and healthcare framework; employment and career development; and personal considerations and social environment. The Mann–Whitney U test indicated that the impact of financial incentives on migration decisions exerted a weaker influence on physicians’ intentions (r = −0.23). Personal considerations and the social environment emerged as more significant retention determinants for nursing professionals (r = −0.15). Conclusions: This study extends current understanding by identifying the underlying constructs of driving and retention factors in health professional migration. The findings underscore the need for evidence-based interventions to mitigate brain drain and retain skilled professionals. Full article

Background/Objectives: The Italian version of the Feeding/Swallowing Impact Survey (FS-IS-IT) is an 18-item caregiver self-report questionnaire assessing the impact of paediatric feeding disorders (PFDs) on health-related quality of life (HR-QoL). The present study sought to evaluate its psychometric properties using Classical Test Theory (CTT), following COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) guidelines and criteria. Methods: A total of 145 caregivers of children with PFD of various etiologies were recruited (median age: 60.0 months; IQR: 35.8–108.0), of whom 134 provided sufficiently complete data for psychometric analysis. Structural validity was determined using exploratory factor analysis. Internal consistency was assessed using Cronbach’s alpha coefficient, McDonald’s ω, and inter-item correlations. Hypothesis testing was conducted using Mann–Whitney U-tests and correlation analysis, while interpretability was examined by assessing floor and ceiling effects. Results: Factor analysis indicated that the FS-IS-IT is a unidimensional measure, with an adequate total variance explained of 60.1%. The FS-IS-IT has moderate structural validity, good internal consistency with some evidence of item redundancy, strong construct validity as supported by hypothesis testing, and no floor and ceiling effects. Conclusions: These findings suggest that the FS-IS-IT is a promising caregiver self-report measure for evaluating HR-QoL in PFD. Further validation is recommended to assess potential item redundancy and to examine the dimensionality of the FS-IS-IT using item response theory. Conversely, although the Italian version of the FS-IS demonstrated encouraging psychometric properties, it could be further strengthened in future studies by revising ambiguous items, refining response formats, and removing misfitting items. Full article

Background/Objectives: Dental caries, one of the most common oral diseases worldwide, represents a major public health concern. Contemporary dentistry has established several non-invasive approaches and resin infiltration, as a micro-invasive path, in the treatment of white spot lesions (WSLs). This study aimed to evaluate the effect of different WSL treatments on enamel surface microhardness. Materials and Methods: Seventy-five intact human premolars extracted upon orthodontic indication and the demineralizing solution composed of acetic acid, monopotassium phosphate and calcium chloride with pH = 4.4 and exposure time 96 h were used. The samples were randomly divided into five groups (n = 15): I—intact enamel (control group); II—artificial white spot lesion; III—artificial WSL treated with fluoride varnish; IV—artificial WSL treated with casein phosphopeptide—amorphous calcium phosphate (CPP-ACP) paste; V—resin-infiltrated artificial WSL. The surface microhardness was determined using the Oliver–Pharr method and a spherical indenter (Shimadzu Indenter, Kyoto, Japan). One-way analysis of variance (ANOVA) followed by a Post Hoc test (Bonferroni) was used with a level of significance set at p < 0.05. Results: Resin-infiltrated white spot lesions showed comparable microhardness mean value as the control group: 68.23 (±21.45) and 63.57 (±18.89), respectively (p > 0.05). Also, resin infiltration increased enamel microhardness compared to WSL values, with a statistically significant difference (p < 0.05). Fluoride varnish and CPP-ACP treatment resulted in equivalent values (50.84 ± 14.35 and 50.99 ± 15.31, respectively). Conclusions: Different WSL treatments (fluoride varnish, CPP-ACP and resin infiltration) produced comparable enamel microhardness values. Among the tested agents, resin infiltration resulted in higher microhardness values, while fluoride varnish and CPP-ACP demonstrated equivalent outcomes. Full article

This study quantified mercury (Hg) levels in the body hair of domestic and wild animals in four Brazilian states, Paraná, Mato Grosso do Sul, Goiás, and Minas Gerais, by analyzing 169 samples from sows, piglets, free-range pigs, and wild animals. The highest mean Hg concentration (274.93 ± 48.14 µg/kg) was found in wild animals in the Pantanal (MSSilvestre, Mato Grosso do Sul), followed by Minas Gerais (245.09 ± 40.27 µg/kg) and Paraná (193.0 ± 42.45 µg/kg). Levels at the GO, MGM, MSLiv, and PRV sites were significantly lower (p ≤ 0.05), according to the Scott–Knott test. Statistical analysis using ANOVA indicated significant variation in Hg levels between locations (F = 2.36; p ≤ 0.05), with homogeneity of variance (Levene’s test, p = 0.1772). Animals raised in confinement had lower levels than wild animals, which, due to extensive movement and contact with diverse environments, exhibited greater bioaccumulation. Lactating sows showed greater sensitivity than piglets, demonstrating an effect of animal category on metal absorption. The main sources of mercury are anthropogenic activities, such as mining and industrial processes, responsible for the environmental release of the metal. Although the detected levels do not pose an immediate risk to animal health or meat quality, they highlight the need for continuous monitoring, given mercury’s ability to bioaccumulate and affect ecosystems and food security. This work contributes to the understanding of environmental exposure to mercury in Brazil, reinforcing the urgency of effective mitigation strategies to preserve biodiversity and public health. Full article

Background and Objectives: Alzheimer’s disease (AD) and frontotemporal dementia (FTD) present overlapping clinical and neuroanatomical features, complicating early diagnosis. Therefore, this study evaluated whether EEG microstate analysis can provide reliable markers to distinguish patients with dementia from healthy controls. Materials and Methods: Resting-state EEG was recorded from 36 AD patients, 23 FTD patients, and 29 healthy controls. Preprocessing and microstate analysis were conducted using the MICROSTATELAB pipeline in EEGLAB. Clustering solutions ranging from four to seven classes were tested, with grand mean fitting and variance thresholds. Temporal parameters (duration, occurrence, and coverage) and their ratio-normalized forms were compared across groups using ANCOVA and nonparametric tests. Associations with Mini-Mental State Examination (MMSE) scores were assessed by regression analyses. Results: The four- and seven-class clustering solutions achieved high variance overlap with published microstate templates. In the four-class solution, temporal parameters of microstates B and D significantly differentiated controls from dementia groups, while in the seven-class solution, microstates C and G were the most informative. Ratio-normalized parameters improved group discrimination and were associated with MMSE scores. Conclusions: EEG microstates capture disease-related alterations in large-scale brain dynamics that differentiate patients with dementia from healthy individuals. Full article

Background/Objectives: This proof-of-concept study evaluated whether optical coherence tomography angiography (OCTA) can non-invasively capture micro-vascular alterations in non-melanoma skin cancer (NMSC) lesions during and after superficial orthovoltage radiotherapy (RT) using radiomics and vascular features analysis. Methods: Eight patients (13 NMSC lesions) received 36–50 Gy in 6–20 fractions. High-resolution swept-source OCTA volumes (1.1 × 10 × 10 mm³) were acquired from each lesion at three time points: pre-RT, immediately post-RT, and three months post-RT. Additionally, healthy skin baseline was scanned. After artifact suppression and region-of-interest cropping, (i) first-order and texture radiomics and (ii) skeleton-based vascular features were extracted. Selected features after LASSO (least absolute shrinkage and selection operator) were explored with principal-component analysis. An XGBoost model was trained to classify time points with 100 bootstrap out-of-bag validations. Kruskal–Wallis tests with Benjamini–Hochberg correction assessed longitudinal changes in the 20 most influential features. Results: Sixty-one OCTA volumes were analyzable. LASSO retained 47 of 103 features. The first two principal components explained 63% of the variance, revealing a visible drift of lesions from pre- to three-month post-RT clusters. XGBoost achieved a macro-averaged AUC of 0.68 ± 0.07. Six features (3 texture, 2 first order, 1 vascular) changed significantly across time points (adjusted p < 0.05), indicating dose-dependent reductions in signal heterogeneity and micro-vascular complexity as early as treatment completion, which deepened by three months. Conclusions: OCTA-derived radiomic and vascular signatures tracked RT-induced micro-vascular remodeling in NMSC. The approach is entirely non-invasive, label-free, and feasible at the point of care. As an exploratory proof-of-concept, this study helps to refine scanning and analysis protocols and generates knowledge to support future integration of OCTA into adaptive skin-cancer radiotherapy workflows. Full article

The rural population in semi-arid areas of Mexico suffers from poverty levels that hinder a dignified life, leading to migration and abandonment of their resources. This is exacerbated by climate change (droughts and high temperatures), which negatively impacts crops. While farmers attempt to adapt, their strategies are insufficient. A low-cost Complementary Agriculture (AgriCom) model was designed, using local resources to produce prickly pear (Opuntia ficus-indica Mill.) and corn (Zea mays L.), while simultaneously conserving regional germplasm of Opuntia spp. A randomized block design with three replications was used. Each block included seven varieties, with 125 plants per variety. Corn was grown as a monocrop in the same experimental site. Graphical analysis, analysis of variance with mean comparison test in RStudio, a profitability analysis, and a Land Equivalent (ELU) analysis were performed. The varieties Verdura, Atlixco, and Rojo Liso showed higher yield, internal rate of return, and net present value; their benefit–cost ratios were 7.97, 6.35, and 6.82, respectively. The ELU was greater than 1.0 when combining the prickly pear varieties. Agroclimatic conditions did not allow the corn to complete its phenological cycle, and its ELU was zero. Seventy prickly pear genotypes, with three replicates each, representing eight Opuntia species, were collected and integrated into the periphery of the production unit. This model was accepted by the Climate Action Platform for Agriculture in Latin America and the Caribbean (PLACA) for implementation in other communities. Full article

Background: Conflicts are an inevitable part of interpersonal relationships, and personality traits influence how they are resolved. In the nursing work environment, conflicts often arise from poor communication and stress, negatively impacting nurses’ well-being and quality of care. The “Big Five” personality model highlights how traits such as extraversion, agreeableness, and emotional stability shape conflict approaches. Understanding these traits aids in developing effective conflict management strategies. This study investigates intragroup conflicts among nurses by identifying their types and examining how sociodemographic factors and personality traits predict their occurrence. The aim is to provide insights that support targeted interventions and improve team dynamics in nursing practice. Methods: The study was conducted as a cross-sectional analysis within the University Hospital Centre Osijek from March to August 2024, involving nurses and technicians. Data was collected using structured questionnaires with clearly defined inclusion and exclusion criteria. The questionnaire included the Process Conflict Scale, the Big Five Inventory, and a Demographic questionnaire. Appropriate statistical analyses were conducted, including descriptive statistics, normality testing with the Kolmogorov–Smirnov test, non-parametric Spearman and Point-Biserial correlations, and linear regression to examine predictors of intragroup conflicts. All assumptions for regression were met, with significance set at p < 0.05, and analyses were performed using JASP software version 0.17.2.1. Results: The research reveals significant differences among various types of team conflicts, where personality traits such as neuroticism increase, while conscientiousness decreases conflicts. The professional competence of respondents also positively correlates with logistical conflicts, and personality explains the variance in conflicts among nurses. Conclusions: Intragroup conflicts among nurses, particularly task-related, stem from communication issues and high care standards. Neuroticism negatively affects team dynamics, while conscientiousness can reduce conflicts but may also lead to disagreements if expectations are unmet. Education on conflict management and clearly defined roles can improve teamwork and quality of care. Full article

The vortex throw, similar to the javelin throw, requires exceptional mastery of technique and specific motor abilities to ensure success. This study examines the anthropometric and motoric status of young female track-and-field athletes and investigates their relationship with vortex throwing performance. This research included 63 young female athletes; the results of 14 motor tests, three anthropometric measures, and training experience were compared with vortex throwing distance and vortex release velocity. Pearson’s correlation analysis revealed that the most valuable strong correlation was between the release velocity and the throwing distance (r > 0.75), indicating that they almost equally contributed to throwing performance. The most valuable moderate correlations were those between the leg tapping test, the overhead medicine ball throw, and the chest medicine ball launch and the performance of both forms of throwing. Accounting for shared variance among predictors, multivariable models explained 43% of the variance in vortex release velocity and 58% in vortex throwing distance, with the standing long jump uniquely predicting release velocity and the overhead 1-kg medicine ball throw uniquely predicting throwing distance. Finally, the motor abilities recognized in athletes in this research are valuable indicators of quality throwing performance and could play a crucial role in throwing success, which supports previous evidence on similar topics. Collectively, these results support using release velocity alongside distance to evaluate youth vortex throwers and highlight simple field tests (leg tapping, medicine ball throws, and long jumps) as practical markers for training prescription and early talent identification. Full article

Background/Objectives: Crohn’s disease (CD) requires precise, noninvasive monitoring to guide therapy and support treat-to-target management. Magnetic resonance enterography (MRE), particularly diffusion-weighted imaging (DWI), is the preferred cross-sectional technique for assessing small-bowel inflammation. Indices such as the Magnetic Resonance Index of Activity (MaRIA) and its diffusion-weighted variant (DWI MaRIA) are widely used for grading disease activity. This study evaluated whether unsupervised clustering of MRI-derived features can complement these indices by providing more coherent and biologically grounded stratification of disease activity. Materials and Methods: Fifty patients with histologically confirmed CD underwent 1.5 T MRE. Of 349 bowel segments, 84 were pathological and classified using literature-based thresholds (MaRIA, DWI MaRIA) and unsupervised clustering. Differences between inactive, active, and severe disease were analyzed using multivariate analysis of variance (MANOVA), analysis of variance (ANOVA), and t-tests. Mahalanobis distances were calculated to quantify and compare separation between categories. Results: Using MaRIA thresholds, 5, 16, and 63 segments were classified as inactive, active, and severe (Mahalanobis distances 2.60, 4.95, 4.12). Clustering redistributed them into 22, 37, and 25 (9.26, 24.22, 15.27). For DWI MaRIA, 21, 14, and 49 segments were identified under thresholds (3.59, 5.72, 2.85) versus 21, 37, and 26 with clustering (7.40, 16.35, 9.41). Wall thickness dominated cluster-derived separation, supported by diffusion metrics and the apparent diffusion coefficient (ADC). Conclusions: Cluster-derived classification yielded clearer and more biologically consistent separation of disease-activity groups than fixed thresholds, emphasizing its potential to refine boundary definition, enhance MRI-based assessment, and inform future AI-driven diagnostic modeling. Full article

Background: The fetal mechanical PR interval (mPR), measured using pulsed-wave Doppler, is a widely used parameter to assess atrioventricular conduction in fetuses, particularly in cases at risk of developing atrioventricular (AV) block. However, the physiological factors that influence mPR readings are not fully understood. This study aimed to identify determinants affecting the measurement of the mPR interval using the mitral valve/aorta (MV/Ao) Doppler method in a cohort of structurally normal fetuses. Methods: We retrospectively analyzed 925 fetuses with normal echocardiographic findings and no structural cardiac or extracardiac anomalies. Correlation analysis, group comparisons, trend testing, and multivariable modeling were performed to assess the impact of biometric and Doppler parameters on mPR interval measurements. Results: The median mPR interval across the cohort was 116 ms (interquartile range: 108–123 ms). Fetuses were categorized into four gestational age groups (≤19 weeks, 20–23 weeks, 24–27 weeks, and ≥28 weeks). Significant differences in mPR were observed between gestational age groups (p < 0.01), with a positive trend across increasing gestational age (p < 0.0001). The strongest correlation was an inverse relationship between mPR and fetal heart rate (FHR) (ρ = −0.256, p < 0.01). Multivariable regression identified five independent predictors of mPR: lower FHR, greater biparietal diameter (BPD), larger pulmonary valve diameter (PVD), increased fronto-occipital diameter (FOD), and lower umbilical artery pulsatility index (UA PI). The final model explained approximately 9.9% of the variance in mPR interval (R² = 0.099). Conclusions: The fetal mPR interval increases with gestational age and is primarily influenced by fetal heart rate, even after adjusting for other factors. Certain biometric and Doppler parameters also contribute modestly to mPR variation. These findings highlight the importance of accounting for physiological variability when interpreting mPR measurements in clinical fetal cardiology. Full article

Introduction: The efficacy of percutaneous vertebroplasty (PV) versus placebo and conservative treatment (CT) in patients with osteoporotic vertebral fractures (OVFs) has been debated in recent years. The aim of this study was to conduct an updated systematic review with a meta-analysis on the efficacy of randomized controlled trials (RCTs) comparing PV versus placebo and CT in pain relief, functionality and quality of life in patients with OVFs. Methods: A systematic search was conducted in PubMed, Web of Science, EMBASE, and CENTRAL, resulting in a total of 15 RCTs. The risk of bias was assessed using the Risk of Bias v.2 tool. A meta-analysis was performed using the weighted inverse variance method to analyze the standardized mean difference (SMD) in pain (VAS/NRS scales), functionality (RMDQ/ODI scales) and quality of life (QUALEFFO scale) in the short (<1 month), medium (1–6 months) and long terms (≥6 months). Heterogeneity was assessed using I² and τ². Subgroup analyses were performed according to the type of control, geographic region, number of institutions, fracture chronicity, and risk of bias. In addition, sensitivity (leave-one-out) and publication bias (funnel plots and Egger’s tests) analyses were performed. Results: Overall, PV showed benefits over the combined control groups in pain relief in the short (SMD: −0.68; 95%CI: −1.28–−0.07), medium (SMD: −0.63; 95%CI: −1.18–−0.07), and long terms (SMD: −0.59; 95%CI: −1.02–−0.15). No statistically significant differences were found in functionality and quality of life, although several trends toward significance were observed favoring PV. Subgroup analyses showed greater advantages of PV at several time intervals in acute (<8 weeks) OVFs, multicentric trials and studies with a low risk of bias. There were cues suggestive of potential publication bias in functionality, but not in pain or quality of life. Conclusions: PV shows significant benefits in pain relief, particularly in acute OVFs, but its efficacy in terms of functionality and quality of life remains unclear. These results support the use of PV in appropriately selected patients. However, given the high heterogeneity found, more controlled, multicenter trials are still required. Full article

The aim of the study was to assess the impact of fertilizer type (urea, compound fertilizer), biodegradable coating type (linseed oil or hemp oil based) and nitrogen dose (135 and 180 kg N·ha⁻¹) on the yield of corn intended for silage. A three-year field experiment was conducted using a randomized block design with three replicates. The test plant was corn intended for silage. The field experiment was conducted in a factorial design comprising three experimental factors: fertilizer type (two levels), coating type (two levels), and fertilizer dose (two levels). Controlled-release fertilizers (CRF) based on biodegradable coatings are an emerging solution in sustainable nitrogen management, yet their field-scale performance remains insufficiently validated. This study investigated how biodegradable coatings based on linseed and hemp oils affect nutrient release dynamics and maize yield under three-year field conditions. The study represents the first field validation phase translating laboratory coating characteristics into agricultural performance metrics. Statistical analysis (ANOVA, Tukey’s test) showed that in the first year of the study, the greatest impact on plant height and corn yield was observed in the case of type of fertilizer used (η²_p up to 17.83%), type of coating (η²_p up to 63.15%) and their interaction (η²_p up to 11.92%). The symbol η²_p (partial eta squared) represents a measure of effect size in analysis of variance (ANOVA). The largest plant size (average 307–310 cm) and the highest yield (107.33 t·ha⁻¹) were obtained in the case of yields in which compound fertilizer or urea with coatings were used in relation to the series in which fertilizers without coatings were applied (differences up to 11 t·ha⁻¹). Statistical analysis using repeated measures ANOVA confirmed a significant time effect, with fertilizer effectiveness declining in subsequent years of the experiment (p < 0.05). In the experiment, no effect of the tested factors on the number of corn cobs was found (η²_p < 2.27%). The highest fresh matter yield for silage production was obtained with coated NPK compound fertilizer (98.80 t·ha⁻¹), representing a 48% increase compared to the unfertilized control (66.90 t·ha⁻¹). The results of the study indicate that the use of coated compound fertilizers—NPK has the most beneficial effect on yield and biometric parameters of plants in the first growing season after their soil application. The enhanced nutrient release from biodegradable coatings provided greatest benefits in the first growing season, with diminishing effects in subsequent years due to coating degradation and residual soil nutrient accumulation. Full article

This study evaluated the suitability of three floodplain environments near Iquitos for cowpea cultivar recommendations and estimated the adaptability and phenotypic stability of 12 cowpea lines evaluated in 2004. Climatic conditions between 2004 and 2020–2024 were also compared. Three field trials used a randomized complete block design with 12 lines and two replications, assessing grain yield, number of pods per plant, days to flowering, days to 50% maturity, and days to harvest. Combined Analysis of Variance (ANOVA), Duncan’s means test, Genotype + Genotype Environment Interaction (GGE) biplot, and Additive Main Effects and Multiplicative Interactions Interaction (AMMI) analyses revealed that the three sites are contrasting. The Annicchiarico index, GGE biplot, and AMMI analyses identified line CAR 3010 as having superior adaptability and stability. Paired t-tests and Mann–Kendall analyses showed that climatic conditions in 2020–2024 differed significantly from 2004. Therefore, Muyuy, Rafael Belaunde, and San Miguel are suitable locations for testing advanced cowpea lines prior to cultivar recommendation. Line CAR 3010 is recommended for breeding programs in the Peruvian Amazon in response to ongoing climate change. This research addresses a critical knowledge gap as the first study evaluating cowpea adaptability and stability across multiple floodplain locations in the Peruvian Amazon. Full article