Paired Correlation Analysis Research Articles

THE IMPACT OF NEUROSCIENCE-BASED MINDFULNESS TRAINING ON MENTAL HEALTH IN FUTURE PSYCHOLOGISTS

Purpose. This study investigates the effectiveness of a neuroscience-based mindfulness training program on emotional states, self-compassion traits and well-being status among psychology students during an 8-week intervention. The work focuses on developing emotional regulation, decreasing stress and depression, and increasing self-compassion and mindfulness — all of which are crucial skills for professional practice. Methods. This pilot study included fifty psychology students (M = 23.5, SD = 2.8) who were assessed using the DASS-21 for stress, anxiety, depression and Self-Compassion Scale for self-kindness, mindfulness and related traits before and after a special training program along with the BBC-SWB questionnaire for psychological, physical and subjective well-being. Statistical analyses such as paired t-tests, correlation analysis and hierarchical regression were used to assess the intervention's effectiveness and explore predictive relationships among variables. Results. The program was associated with significant reductions in anxiety, stress, and depression and increases in self-kindness, mindfulness, and psychological well-being. Given that emotional states and self-compassion traits function as mutually reinforcing factors, correlations provided evidence based on the holistic benefits of the program. Hierarchical regression analysis showed that both pre-intervention anxiety (β = 0.45, p < 0.001) and self-kindness (β = 0.35, p = 0.05) significantly predicted psychological well-being after the intervention. These variables combined explained 52% of the outcome variance (R² = 0.52, p < 0.001). Mindfulness explained an additional 17% variance beyond all other variables combined, affirming its role as a transformational variable within the model. Conclusions. This mindfulness training, based on neuroscience principles and research findings, is designed to decrease psychological suffering and enhance psychological resilience and self-compassion. The results call for incorporating such training within psychology educational programs, thus enhancing personal health and professional competence. Longitudinal studies investigating the long-term effects of mindfulness practices and their use in a broader range of populations are warranted for future research.

The relationship between indoor airborne culturable bacteria with passenger flow in 132 traffic stations during 2019–2020, China

This study aims to provide technical support for the development of a rational administration strategy for indoor environment and passenger flow of stations. The analysis was conducted monitor data of long distance bus stations and train/high speed railway stations from the National project. The monitor and surveyed data included indoor airborne culturable bacteria (IAB), passenger flow, area and height of stations. Data analysis involved the use of paired non-parametric tests, correlation analysis, and mixed linear regression methods. A total of 132 pairs of stations were examined in this study. Additionally, significant variations were observed in the monitoring results for the IAB and passenger flow between 2019 and 2020 (p < 0.05). Specifically, the median values of these two factors in 2020 decreased by 50.52% and 48.33%, respectively, compared to 2019. (p < 0.05). A positive relationship between the daily average passenger flow and the IAB in long distance bus stations and train stations, particularly pronounced with medium sized waiting rooms, which located in subtropical cities with a general level of economic development. The mixed effect regression analysis revealed a significant association between passenger flow (OR = 1.564, 1.288–1.898), per capita volume (OR = 0.856, 0.733–0.998), and per capita area (OR = 0.806, 0.678–0.956) with the IAB (p < 0.05) just in long distance bus stations. It is crucial to regulate passenger flow and per capita area in the waiting room of long distance bus stations to mitigate the spread of airborne culturable bacteria during infectious disease epidemics.

Near Infrared Reflectance Spectroscopy-Driven Chemometric Modeling for Predicting Key Quality Traits in Lablab Bean (Lablab purpureus L.) Germplasm

Lablab bean (Lablab purpureus L.) is a multipurpose crop, commonly used for food, feed, and fodder, and its potential as a plant-based meat alternative. Its nutritional diversity, including high protein, starch, and phenolic content, makes it a suitable candidate for nutritional profiling, which is essential for developing nutritionally enhanced varieties. Traditional methods for analyzing its nutritional parameters are labor-intensive, time-consuming, and expensive. This study employs Near-Infrared Reflectance Spectroscopy (NIRS) as a rapid, non-destructive alternative to evaluate 112 Lablab bean genotypes. We developed prediction models for starch, amylose, protein, fat, and phenols using a Modified Partial Least Squares (MPLS) approach, with spectral pre-processing using Standard Normal Variate (SNV) to remove scatter effects and Detrending (DT) to reduce baseline shifts and noise. The models were optimized for derivatives, gap selection, and smoothing, and evaluated using independent test data and key performance metrics including coefficient of determination (R²), bias, and Residual Prediction Deviation (RPD). The best-performing models were: starch (R² = 0.959, RPD = 4.57), amylose (R² = 0.737, RPD = 1.76), protein (R² = 0.911, RPD = 3.09), fat (R² = 0.894, RPD = 2.92), and phenols (R² = 0.816, RPD = 2.36). Statistical tests, including paired t-tests, correlation, and reliability analysis, confirmed the robustness of these models. This study presents a first report offering rapid, multi-trait assessment method for evaluating Lablab bean germplasm, demonstrating high predictive accuracy for pre-breeding practices. It has broad applications in developing nutritionally enhanced varieties, supporting plant-based protein alternatives, and optimizing food production processes to meet the growing demand for healthier, sustainable foods.

Melting simulations of high-entropy carbonitrides by deep learning potentials

The melting temperature is a crucial property of materials that determines their potential applications in different industrial fields. In this study, we used a deep neural network potential to describe the structure of high-entropy (TiZrTaHfNb)CxN1−x carbonitrides (HECN) in both solid and liquid states. This approach allows us to predict heating and cooling temperatures depending on the nitrogen content to determine the melting temperature and analyze structure changes from atomistic point of view. A steady increase in nitrogen content leads to increasing melting temperature, with a maximum approaching for 25% of nitrogen in the HECN. A careful analysis of pair correlations, together with calculations of entropy in the considered liquid phases of HECNs allows us to explain the origin of the nonlinear enhancement of the melting temperature with increasing nitrogen content. The maximum melting temperature of 3580 ± 30 K belongs to (TiZrTaHfNb)C0.75N0.25 composition. The improved melting behavior of high-entropy compounds by the addition of nitrogen provides a promising way towards modification of thermal properties of functional and constructional materials.

EVALUATING THE EFFICACY OF TRANSCUTANEOUS VERSUS SERUM BILIRUBIN MEASUREMENTS IN MANAGING NEONATAL JAUNDICE IN PRETERM INFANTS

Objective: Managing neonatal jaundice effectively in preterm infants is crucial due to their increased vulnerability to bilirubin-induced neurological disorders. This study evaluates the efficacy of transcutaneous (TcB) versus serum bilirubin (TSB) measurements in this context. Methods: A total of 100 preterm neonates undergoing treatment for jaundice were assessed using both TcB and TSB measurements before, during, and after phototherapy. The study conducted paired t-tests and correlation analyses to evaluate the agreement between these two methods. Results: Before phototherapy, there was a strong positive correlation (r = 0.8319) between TcB and TSB, with a statistically significant mean difference (p = 0.0001). During phototherapy, TcB measurements were consistently lower than TSB, indicating significant discrepancies. The differences highlighted the influence of clinical interventions like phototherapy on the accuracy of TcB readings. Conclusion: The study validates transcutaneous bilirubinometry (TcB) as a non-invasive, effective alternative for jaundice monitoring in preterm infants. Despite some discrepancies with traditional serum bilirubin (TSB) measurements during phototherapy, the integration of TcB can decrease the reliance on invasive procedures. This research supports the potential of TcB to replace serum assessments, promoting a less stressful clinical experience for neonates while maintaining accuracy in therapeutic decisions. Future advancements are encouraged to enhance TcB measurement techniques to align more closely with serum bilirubin levels.

Intravascular enhancement sign at 3D T1-weighted turbo spin echo sequence is associated with cerebral atherosclerotic stenosis

ObjectiveIntravascular enhancement sign (IVES) at three-dimensional T1-weighted turbo spin echo (3D T1W TSE) sequence may be a simple hemodynamic maker. This study aims to investigate the association between IVES and features of intracranial atherosclerotic stenosis (ICAS). MethodRetrospective analysis of clinical and imaging data of patients who underwent high resolution-vessel wall imaging (HR-VWI) examination from May 2021 to May 2023. The number of IVES vessels and ICAS features at HR-VWI were extracted by two neuroradiologists. Paired comparisons and correlation analysis on these indicators were performed. ResultsA total of 118 patients with ICAS in the first segment of the middle cerebral artery and accompanied by unilateral IVES were enrolled. Compared to the non-IVES side, a higher incidence of ischemic events and intraplaque hemorrhage (IPH), higher degree of vascular stenosis and enhancement, lower remodeling index, and lower signal intensity ratio (SIR) were found in subjects with IVES. In the ICAS with IVES, 79.66 % showed severe stenosis and occlusion; in the ICAS with severe stenosis and occlusion, 89.5 % showed IVES in the distal. A multivariable logistic regression model identified the vascular stenosis degree (OR = 1.922; 95 %CI [1.37–2.692]; P < 0.001), enhanced-degree (OR = 2.486; 95 %CI [1.315–4.698]; P = 0.005), position (OR = 2.869; 95 %CI [1.255–6.560]; P = 0.012), and SIR (OR = 0.032; 95 %CI [0.004–0.275]; P = 0.002) were independent association with the presence of IVES. The area under the curve was 0.911 for the use of IVES vessel quantities to identify severe stenosis and occlusion of arterial lumen. ConclusionThe number of IVES vessels was associated with the local features of ICAS, which may indicate severe stenosis and occlusion in the major branches of the proximal artery.

Analysis of the diet, weight-loss behavior, and nutritional knowledge of athletes and coaches in weightclass sports: influence of a coach's nutritional knowledge on athletes.

This study was conducted to investigate the nutritional knowledge of elite athletes undergoing weight loss and to identify differences in weight-loss strategies according to nutritional knowledge. The participants included 22 coaches and 88 elite athletes registered under the same affiliation. The survey involved translating the General Nutrition Knowledge Questionnaire (GNKQ), and interviews were used to confirm the diet and weight loss patterns of the athletes. The coaches and athletes were divided into high-rank (12 coaches and 57 athletes) and low-rank (10 coaches and 31 athletes) groups based on GNKQ scores. Paired t-tests, correlation analysis, and logistic regression analysis were performed. GNKQ results showed significant differences between high-ranking and low-ranking coaches (p < 0.001). Furthermore, a significant difference in nutrition knowledge scores was also noticed between athletes with high-ranking and low-ranking coaches (p < 0.001). A strong correlation was observed between the GNKQ scores of coaches and athletes (r = 0.369; p < 0.001). The nutritional knowledge of coaches was also correlated with weight-loss strategies (weight loss attempt frequency; r = -0.235; p = 0.027; weight loss duration; r = -0.268; p = 0.012). Additionally, differences were observed in the intake of all nutrients (carbohydrates, proteins, and fat) in the diets of athletes (p < 0.001). Our study suggests that the nutritional knowledge of coaches indirectly affects athletes. Coaches have significant influence over athletes and possess experience with diet and weight-loss patterns. This insight should be effectively utilized to enhance the training and performance of athletes and coaches.

The effect of rehabilitation measures on the severity of endotoxicosis and its relationship with changes in hemorheology in acute poisoning

Introduction. The use of multidimensional statistical analysis methods (factorial and cluster methods) to study the pathogenesis and sanogenesis of acute poisoning (AP) with psychopharmacological agents (pPPhA), neurotoxicants (pNT) and corrosive substances (pCS) did not allow us to judge the presence of a direct connection between the hemorhealogy system (HR). We received a positive answer to this question earlier with the help of pair correlation analysis (PCA). New data on the sanogenetic effect of the applied methods of rehabilitation treatment in terms of changes in the indicators of HR and endotoxicosis (ET) and the relationship between them are also interesting. The purpose of the work is to assess the initial state of the indicators of HR and ET and the effect on them of a combination of medicinal and non–medicinal products used as part of rehabilitation measures for AP. Material and methods. Paired correlation analysis of the block structure of the obtained correlation matrices was applied to 52 patients with severe pPPhA, pNT and pCS. This analysis established the relationship between two indicators – both before the start of rehabilitation measures (the use of ethylmethylhydroxypyridine succinate, laser hemotherapy, hyperbaric oxygenation and mesodiencephalic modulation in accordance with the type of AP), and after their completion, before the discharge of patients from the hospital. Results. Statistically significant correlations were established between the indicators of HR and ET both before the start of treatment (0.44–0.94, without sign) and after its completion (0.49–0.99, without sign), which allowed us to confirm at a higher level a direct link between the development of HR and ET disorders, as well as to draw a conclusion about the sanogenetic effect of rehabilitation treatment. Limitations. The study has no limitations for further use of this methodological approach. Conclusion. The obtained data can serve as a justification for the introduction into practice of the proposed methods of mathematical analysis of the results of treatment measures.

Implementing adaptive learning technologies: Practical strategies for enhancing cognition in mathematics education

Recent studies have shown that adaptive learning technology can significantly change mathematics teaching. This research used a combination of methods to explore how adaptive learning technologies (ALTs) can improve cognitive abilities in math instruction. The study involved 300 secondary school students. Quantitative data was collected through pre-tests and post-tests to evaluate problem-solving, critical thinking, and logical reasoning skills, as well as a survey on students' opinions about ALTs. Qualitative data was gathered by analyzing participant responses in depth. The quantitative data was analyzed using descriptive statistics, paired samples t-tests, ANCOVA, correlation analyses, and regression analyses. The qualitative data was examined using thematic analysis. The results showed significant improvements in cognitive abilities with the use of ALTs, supported by both quantitative and qualitative data. Additionally, using ALTs was positively linked to the development of cognitive skills. These findings enhance our understanding of the importance of ALTs in mathematics education and provide useful insights for teachers, curriculum developers, and policymakers.

Examining Citizens’ Expectations and Perceptions About Service Quality in Public Sector: Adapting a Hybrid Public Service Quality Model to the Local Context

ABSTRACT The empirical study examines citizens’ expectations and perceptions about service quality in three major public institutions. The article adopts a quantitative approach. Citizens’ expectations and perceptions about service quality in the context of public institutions were examined through a questionnaire, utilizing a hybrid model of SERVQUAL with private and public service quality dimensions. The article presents the results of a quantitative study (sample of 310 citizens), distributed across three public institutions, illustrating factor, gap, paired correlation and one-way analysis of variance (ANOVA) of survey data. For factor extraction, rotation and interpretation, the Oblimin rotation technique was used, determining inter-correlation among the public service quality factors. As for ANOVA analysis, Levene’s test was used to verify the homogeneity of variance assumption (the variance in scores for each group of customers). The findings of the study suggest the re-distribution of components under the refined service quality factors. Different items of initial service quality dimensions are rotated under newly created factors. Gap analysis reveals no variations in terms of citizens’ expectations across public institutions, but suggests significant differences among public entities in regard to perceptions of services acquired. Adapted Hybrid Public Service Quality model will assist public institutions in developing and tailoring service quality management systems to citizens’ needs. This is the first attempt to carry out a quantitative approach to researching Service Quality in public institutions. The primary contribution of the study is that it has tested a hybrid model for measuring perceived public service quality, integrating service quality dimensions both from public and private sectors and proposed a refined model fit for the local context considering citizens’ characteristics and the current state of the public sector experiencing a shift toward modernization of services.

Field validation as a means for continual monitoring of approved test kit’s fitness for purpose in the commercial market

Testing accuracy of a chemical contaminant requires use of a testing platform that conforms to validation criteria outlined in quality literature and standards. This study explores the application of commercial field data measured by qualified analysts using a United States Department of Agriculture – Federal Grain Inspection Service approved kit for measuring fumonisin in maize to augment method validation procedures. Analysts from seven grain testing facilities were qualified in official USDA sampling, sample preparation, and testing methodology using the Charm LF-FUMQ-WETS5. A duplicate sample was tested in the Office of the Texas State Chemist (OTSC) laboratory using UPLC-MS-MS. Data were subject to four statistical techniques using continuous and categorical methodology. This approach enabled researchers to explore if a single test or multiple comparisons were best suited to assess a field kit’s fitness for purpose across facility, toxin level, and year. The study concluded that a paired t-test and correlation analysis provided a quick and meaningful evaluation of kit performance. The correct placement of samples within the correct bin (violative versus non-violative) aligns well with market forces and regulatory compliance. The results of this study also provide a useful tool to assess all field kits’ performance at the beginning of the harvest season and subsequent years. The combination of statistical techniques presented in this research is an important tool in assessing mycotoxin field test kits fitness for purpose and represents a key step in a continuous improvement-quality systems process meant to protect the feed and food supply.

Membrane topography and the overestimation of protein clustering in single molecule localisation microscopy – identification and correction

According to single-molecule localisation microscopy almost all plasma membrane proteins are clustered. We demonstrate that clusters can arise from variations in membrane topography where the local density of a randomly distributed membrane molecule to a degree matches the variations in the local amount of membrane. Further, we demonstrate that this false clustering can be differentiated from genuine clustering by using a membrane marker to report on local variations in the amount of membrane. In dual colour live cell single molecule localisation microscopy using the membrane probe DiI alongside either the transferrin receptor or the GPI-anchored protein CD59, we found that pair correlation analysis reported both proteins and DiI as being clustered, as did its derivative pair correlation-photoactivation localisation microscopy and nearest neighbour analyses. After converting the localisations into images and using the DiI image to factor out topography variations, no CD59 clusters were visible, suggesting that the clustering reported by the other methods is an artefact. However, the TfR clusters persisted after topography variations were factored out. We demonstrate that membrane topography variations can make membrane molecules appear clustered and present a straightforward remedy suitable as the first step in the cluster analysis pipeline.

Availability and stability of palliative care for family members of terminally ill patients in an integrated model of health and social care

BackgroundPalliative care and the integration of health and social care have gradually become the key direction of development to address the aging of the population and the growing burden of multimorbidity at the end of life in the elderly.AimsTo explore the benefits/effectiveness of the availability and stability of palliative care for family members of terminally ill patients in an integrated institution for health and social care.MethodsThis prospective observational study was conducted at an integrated institution for health and social care. 230 patients with terminal illness who received palliative care and their family members were included. Questionnaires and scales were administered to the family members of patients during the palliative care process, including quality-of-life (SF-8), family burden (FBSD, CBI), anxiety (HAMA), and distress (DT). We used paired t-tests and correlation analyses to analyze the data pertaining to our research questions.ResultsIn the integrated institution for health and social care, palliative care can effectively improve quality of life, reduce the family’s burden and relieve psychological impact for family members of terminally ill patients. Palliative care was an independent influencing factor on the quality of life, family burden, and psychosocial status. Independently of patient-related and family-related factors, the results are stable and widely applicable.ConclusionThe findings underline the availability and stability of palliative care and the popularization of an integrated service model of health and social care for elder adults.

Actin cytoskeleton differently regulates cell surface organization of GPI-anchored proteins in polarized epithelial cells and fibroblasts.

The spatiotemporal compartmentalization of membrane-associated glycosylphosphatidylinositol-anchored proteins (GPI-APs) on the cell surface regulates their biological activities. These GPI-APs occupy distinct cellular functions such as enzymes, receptors, and adhesion molecules, and they are implicated in several vital cellular processes. Thus, unraveling the mechanisms and regulators of their membrane organization is essential. In polarized epithelial cells, GPI-APs are enriched at the apical surface, where they form small cholesterol-independent homoclusters and larger heteroclusters accommodating multiple GPI-AP species, all confined within areas of approximately 65-70nm in diameter. Notably, GPI-AP homoclustering occurs in the Golgi apparatus through a cholesterol- and calcium-dependent mechanism that drives their apical sorting. Despite the critical role of Golgi GPI-AP clustering in their cell surface organization and the importance of cholesterol in heterocluster formation, the regulatory mechanisms governing GPI-AP surface organization, particularly in the context of epithelial polarity, remain elusive. Given that the actin cytoskeleton undergoes substantial remodeling during polarity establishment, this study explores whether the actin cytoskeleton regulates the spatiotemporal apical organization of GPI-APs in MDCK cells. Utilizing various imaging techniques (number and brightness, FRET/FLIM, and dSTORM coupled to pair correlation analysis), we demonstrate that the apical organization of GPI-APs, at different scales, does not rely on the actin cytoskeleton, unlike in fibroblastic cells. Interestingly, calcium chelation disrupts the organization of GPI-APs at the apical surface by impairing Golgi GPI-AP clustering, emphasizing the existence of an interplay among Golgi clustering, apical sorting, and surface organization in epithelial cells. In summary, our findings unveil distinct mechanisms regulating the organization of GPI-APs in cell types of different origins, plausibly allowing them to adapt to different external signals and different cellular environments in order to achieve specialized functions.

Learning motivation and self-assessment in health economics: a survey on overconfidence in healthcare providers

IntroductionLifelong learning is the foundation for professionals to maintain competence and proficiency in several aspects of economy and medicine. Until now, there is no evidence of overconfidence (the belief to...

702 Multimodal CT Imaging of Ischemic Stroke Thrombi Identifies Scale-invariant Radiomic Features That Reflect Clot Biology

INTRODUCTION: Biological interpretability of ischemic stroke clot imaging remains challenging. Paired CT/microCT imaging of ischemic stroke clots resected by thrombectomy has the potential to identify interpretable image features that are correlated among pre-treatment image modalities and post-treatment histopathology. METHODS: We performed multimodal CT-imaging and histology for 10 stroke clots retrieved by mechanical thrombectomy. Clots were manually segmented from co-registered, pre-treatment CTA and nCCT. For the same cases, resected clots were iodine-stained, and imaged with a ScanCo microCT-100 (4.9μm resolution). Afterwards, clots were subjected to histological processing (H&amp;E staining) and whole slide scanned (40X). Clot radiomic features(RFs) (n = 93 per modality, 279 total) were extracted using PyRadiomics and histological composition was computed using Orbit Image Analysis. Correlation analysis was used to test associations between microCT and CTA (or nCCT) RFs as well as between RFs and histological composition. Statistical significance was considered at R = 0.65 and q &lt; 0.05. RESULTS: From paired RF correlation analysis, we identified 23 scale-invariant RFs significantly correlated between microCT and CTA (18), and microCT and nCCT (5). Correlation of unpaired RFs identified 377 positively and 36 negatively correlated RFs between microCT and CTA, and 168 positively and 41 negatively correlated RFs between microCT and nCCT. Scale invariant RFs computed from CTA and nCCT demonstrated significant correlation with red blood cell and fibrin-platelet components, while microCT RFs were found to be correlated with WBC percent composition. CONCLUSIONS: This study is the first to complete a detailed statistical analysis of radiomic features across scale, and investigation of their relationship to histological composition. Our findings suggest that RFs from resected clot microCT can be used to identify strong and significant correlations between histology and pre-thrombectomy CT, with increased biological interpretability.

Estimation of renal function using iodine maps in dual-energy spectral computed tomography urography: a feasibility and accuracy study.

To explore the feasibility of measuring glomerular filtration rate (GFR) using iodine maps in dual-energy spectral computed tomography urography (DEsCTU) and correlate them with the estimated GFR (eGFR) based on the equation of creatinine-cystatin C. One hundred and twenty-eight patients referred for DEsCTU were retrospectively enrolled. The DEsCTU protocol included non-contrast, nephrographic, and excretory phase imaging. The CT-derived GFR was calculated using the above 3-phase iodine maps (CT-GFRiodine) and 120 kVp-like images (CT-GFR120kvp) separately. CT-GFRiodine and CT-GFR120kvp were compared with eGFR using paired t-test, correlation analysis, and Bland-Altman plots. The receiver operating characteristic curves were used to test the renal function diagnostic performance with CT-GFR120kvp and CT-GFRiodine. The difference between eGFR (89.91 ± 18.45ml·min-1·1.73m-2) as reference standard and CT-GFRiodine (90.06 ± 20.89ml·min-1·1.73m-2) was not statistically significant, showing excellent correlation (r = 0.88, P < 0.001) and agreement (± 19.75ml·min-1·1.73m-2, P = 0.866). The correlation between eGFR and CT-GFR120kvp (66.13 ± 19.18ml·min-1·1.73m-2) was poor (r = 0.36, P < 0.001), and the agreement was poor (± 40.65ml·min-1·1.73m-2, P < 0.001). There were 62 patients with normal renal function and 66 patients with decreased renal function based on eGFR. The CT-GFRiodine had the largest area under the curve (AUC) for distinguishing between normal and decreased renal function (AUC = 0.951). The GFR can be calculated accurately using iodine maps in DEsCTU. DEsCTU could be a non-invasive and reliable one-stop-shop imaging technique for evaluating both the urinary tract morphology and renal function.

Orientational analysis of atomic pair correlations in nanocrystalline indium oxide thin films.

The application of grazing-incidence total X-ray scattering (GITXS) for pair distribution function (PDF) analysis using >50 keV X-rays from synchrotron light sources has created new opportunities for structural characterization of supported thin films with high resolution. Compared with grazing-incidence wide-angle X-ray scattering, which is only useful for highly ordered materials, GITXS/PDFs expand such analysis to largely disordered or nanostructured materials by examining the atomic pair correlations dependent on the direction relative to the surface of the supporting substrate. A characterization of nanocrystalline In2O3-derived thin films is presented here with in-plane-isotropic and out-of-plane-anisotropic orientational ordering of the atomic structure, each synthesized using different techniques. The atomic orientations of such films are known to vary based on the synthetic conditions. Here, an azimuthal orientational analysis of these films using GITXS with a single incident angle is shown to resolve the markedly different orientations of the atomic structures with respect to the planar support and the different degrees of long-range order, and hence, the terminal surface chemistries. It is anticipated that orientational analysis of GITXS/PDF data will offer opportunities to extend structural analyses of thin films by providing a means to qualitatively determine the major atomic orientation within nanocrystalline and, eventually, non-crystalline films.

An innovative method to prevent infection when measuring the arterial blood gas SpO2 saturation.

Patients are hospitalized for extended periods, particularly in intensive care units (ICUs). As a result, the saturation probe (pulse oximeter) remains attached for an extended period and microorganisms can grow in the wet environment. If the pulse oximeters are not reprocessed, cross-infection may occur. The literature contains several studies in which gloves were used for the measurement while various SpO2 (peripheral arterial oxygen saturation) measurements were compared with each other. However, such comparisons have yet to be made with the results of arterial blood gas SpO2 measurements by pulse oximeter, considered as the gold standard. The present study aimed to compare arterial blood gas values with the fingertip saturation measurement performed by having adult patients wear gloves of different colors, one after the other, on their fingers and determining the effect of the differently colored gloves (transparent, white, black, light blue) on saturation values. The study was conducted on 54 patients in an ICU. Intra-arterial blood gas SpO2 results were measured. Oxygen saturation was measured while the patient 1. did not wear gloves and 2. sequentially wore a series of gloves of different colors. Paired t-test, correlation analysis, and Bland Altman charts were used to evaluate the results. The mean SpO2% value of the participants' intra-arterial blood gas measurements was 97.76±2.04. The mean SpO2% value obtained from the measurements of the fingers with a transparent glove was 0.43 points lower than the mean SpO2% value of the intra-arterial blood gas measurements (t=0.986, p=0.61). The mean SpO2% value obtained from the measurements of the fingers with a white glove was 0.93 points lower than the mean SpO2% value of the intra-arterial blood gas measurements (t=1.157, p=0.093). Of the measurements performed with a glove, the mean SpO2% value obtained from the measurements of the fingers with a transparent glove was more consistent with the mean SpO2% value of the intra-arterial blood gas measurements than measurement of the fingers without a glove.

Rotator cuff muscle fibrosis can be assessed using ultrashort echo time magnetization transfer MRI with fat suppression.

Muscle degeneration following rotator cuff tendon tearing is characterized by fatty infiltration and fibrosis. While tools exist for the characterization of fat, the ability to noninvasively assess muscle fibrosis is limited. The purpose of this study was to evaluate the capability of quantitative ultrashort echo time T1 (UTE-T1) and UTE magnetization transfer (UTE-MT) mapping with and without fat suppression (FS) for the differentiation of injured and control rotator cuff muscles and for the detection of fibrosis. A rat model of chronic massive rotator cuff tearing (n = 12) was used with tenotomy of the right supraspinatus and infraspinatus tendons and silicone implants to prevent healing. Imaging was performed on a 3-T scanner, and UTE-T1 mapping with and without FS and UTE-MT with and without FS for macromolecular fraction (MMF) mapping was performed. At 20 weeks postinjury, T1 and MMF were measured in the supraspinatus and infraspinatus muscles of the injured and contralateral, internal control sides. Histology was performed and connective tissue fraction (CTF) was measured, defined as the area of collagen-rich extracellular matrix divided by the total muscle area. Paired t-tests and correlation analyses were performed. Significant differences between injured and control sides were found for CTF in the supraspinatus (mean ± SD, 14.5% ± 3.9% vs. 11.3% ± 3.7%, p = 0.01) and infraspinatus (17.0% ± 5.4% vs. 12.5% ± 4.6%, p < 0.01) muscles, as well as for MMF using UTE-MT FS in the supraspinatus (9.7% ± 0.3% vs. 9.5% ± 0.2%, p = 0.04) and infraspinatus (10.9% ± 0.8% vs. 10.1% ± 0.5%, p < 0.01) muscles. No significant differences between sides were evident for T1 without or with FS or for MMF using UTE-MT. Only MMF using UTE-MT FS was significantly correlated with CTF for both supraspinatus (r = 0.46, p = 0.03) and infraspinatus (r = 0.51, p = 0.01) muscles. Fibrosis occurs in rotator cuff muscle degeneration, and the UTE-MT FS technique may be helpful to evaluate the fibrosis component, independent from the fatty infiltration process.