Correlation Coefficient Research Articles

Phenotypic variability in the US upland cotton core set for root traits and water use efficiency at the late reproductive stage

AbstractTo incorporate root traits that improve water use efficiency (WUE) in cotton (Gossypium hirsutum L.) variety development, harnessing the genetic variability for root traits is essential. The objectives of this study were to characterize the US upland cotton core set for root traits and WUE and determine the traits associated with WUE. The core set includes 23 of the 381 accessions of the cotton diversity panel and represents 74% of the allelic diversity in US upland cotton. Plants were grown in polyvinyl chloride columns (125‐cm height, 15‐cm diameter) in a greenhouse in 2021–2022 and 2022–2023. Half of the columns contained a synthetic hardpan (1 cm thickness, 300 PSI penetration resistance) at a depth of 25 cm. Plants were harvested when >50% of the population opened bolls. Based on 16 root‐ and shoot‐traits, water use, and WUE, Deltapine 14, Station Miller, and Southland M1 were the best performers, and Toole, Paymaster HS200, Western Stormproof, CD3HCABCUH‐1‐89, and PD 2164 were the poor performers irrespective of the presence or absence of hardpan stress to root growth. The WUE of the core set genotypes was positively correlated with very fine root (diameter <0.25 mm) length, surface area, and volume and total root weight (correlation coefficient ≥0.45). These traits serve as beneficial root traits for developing new varieties with enhanced WUE. The identified genotypes and traits will be valuable for developing the next generation of water‐use‐efficient cotton varieties with a broad genetic base through advanced breeding techniques involving genomic tools and genetic diversity.

Junior university: fostering young minds’ interest in higher education

The Universidade Júnior (U.Jr.) program, initiated by the University of Porto (U.Porto), Portugal, is a comprehensive educational initiative conducted during the summer months, primarily targeting the 10–18 age group. The program aims to promote science, technology, arts, humanities, and sports knowledge among elementary and secondary-level students and to influence their vocational choices and higher education aspirations. The study analyses the relationship between participation in the U.Jr. program and subsequent enrollment in higher education at U.Porto. It utilises data collected from 2006 to 2022, comparing U.Jr. participants with students who enrolled as freshmen at U.Porto. A Pearson correlation coefficient was applied to establish the connection between these datasets. Data analysis reveals a significant positive relationship between participation in U.Jr. and the choice of U.Porto for higher education. The study shows that 22 out of 100 first-year students at U.Porto in 2021 had previously attended U.Jr. Moreover, the geographical provenance of participants and U.Porto first-year students showed a robust correlation. The findings suggest that U.Jr. has a substantial impact on attracting students to U.Porto and influencing their academic choices. The program’s diverse activities, coupled with its inclusive approach, have been instrumental in increasing the university’s attractiveness and helping mitigate the country’s low higher education rates. The study underscores the importance of such initiatives in shaping students’ educational trajectories and choices for higher education.

Testing the validity of three acute care assessment tools for assessing residents' performance during in situ simulation: the ACAT-SimSit study.

The assessment of technical and nontechnical skills in emergency medicine requires reliable and usable tools. Three Acute Care Assessment Tools (ACATs) have been developed to assess medical learners in their management of cardiac arrest (ACAT-CA), coma (ACAT-coma) and acute respiratory failure (ACAT-ARF). This study aims to analyze the reliability and usability of the three ACATs when used for in situ (bedside) simulation. This prospective multicenter validation study tested ACATs using interprofessional in situ simulations in seven emergency departments and invited training residents to participate in them. Each session was rated by two independent raters using ACAT. Intraclass correlation coefficients (ICC) were used to assess interrater reliability, and Cronbach's alpha coefficient was used to assess internal consistency for each ACAT. The correlation between ACATs' scores and the learners' level of performance was also assessed. Finally, a questionnaire and two focus groups were used to assess the usability of the ACATs. A total of 104 in situ simulation sessions, including 85 residents, were evaluated by 37 raters. The ICC for ACAT-CA, ACAT-coma and ACAT-ARF were 0.95 [95% confidence interval (CI), 0.93-0.98], 0.89 (95% CI, 0.77-0.95) and 0.92 (95%CI 0.83-0.96), respectively. The Cronbach's alphas were 0.79, 0.80 and 0.73, respectively. The ACAT-CA and ARF showed good construct validity, as third-year residents obtained significantly higher scores than first-year residents ( P < 0.001; P < 0.019). The raters supported the usability of the tools, even though they expressed concerns regarding the use of simulations in a summative way. This study reported that the three ACATs showed good external validity and usability.

A comparative study of three ultrasound techniques for liver fibrosis staging.

The aim of this study is to assess the agreement and performance of visual transient elastography (ViTE), sound touch elastography (STE), and sound touch quantification (STQ) for liver fibrosis staging using transient elastography (TE) as a standard. We finally enrolled 252 subjects with chronic liver disease (CLD) who underwent ViTE, STE, STQ, and TE examinations simultaneously in our hospital from October 2022 to July 2023. We evaluated the correlation and agreement between various technologies. And also evaluated the performances and optimal cutoffs of ViTE, STE, and STQ . The correlation coefficients of ViTE and TE, STE and TE, STQ and TE were 0.863, 0.709, and 0.727, respectively. The ICC among ViTE, STE, STQ, and TE was 0.911. The area under the receiver operating characteristics (AUROCs) of ViTE, STE, and STQ for detection of TE of ≥5 kPa, ≥10 kPa, ≥15 kPa, and ≥20 kPa were 0.867, 0.771, 0.804; 0.972, 0.935, 0.933; 0.998, 0.973, 0.968; and 1.000, 0.960, 0.954, respectively. The AUROCs of ViTE for detection of lower stages (TE≥5 kPa and ≥10 kPa) were significantly higher than STE and STQ in the overall cohort (ViTE vs. STE: Z = 2.766, for TE ≥5 kPa; ViTE vs. STE: Z = 2.145, ; ViTE vs. STQ: Z = 2.587, for TE ≥10 kPa) (all P < 0.05). These methods all have coincided with performance in more advanced stages (TE ≥15 kPa and ≥20 kPa) (all P > 0.05). These methods showed excellent correlation and agreement. ViTE performance in more advanced fibrosis differentiation is comparable to the STE and STQ while ViTE is more accurate than STE and STQ to identify patients with mild CLD stage, and can more effectively rule out compensated advanced CLD.

Quantitative Assessment of Breast Tumor: Comparison of Four Methods of Positioning Region of Interest for Synthetic Relaxometry and Diffusion Measurement

ObjectivesTo compare the differences in apparent diffusion coefficient (ADC) and synthetic magnetic resonance (MR) measurements of four region of interest (ROI) placement methods for breast tumor and to investigate their diagnostic performance. Methods110 (70 malignant, 40 benign) newly diagnosed breast tumors were evaluated. The patients underwent 3.0T MR examinations including diffusion-weighted imaging and synthetic MR. Two radiologists independently measured ADCs, T1 relaxation time (T1), T2 relaxation time (T2), and proton density (PD) using four ROI methods: round, square, freehand, and whole-tumor volume (WTV). The interclass correlation coefficient (ICC) was used to assess their measurement reliability. Diagnostic performance was evaluated using multivariate logistic regression analysis and the receiver operating characteristic (ROC) curves. ResultsThe mean values of all ROI methods showed good or excellent interobserver reproducibility (0.79~0.99) and showed the best diagnostic performance compared to the minimum and maximum values. The square ROI exhibited superior performance in differentiating between benign from malignant breast lesions, followed by the freehand ROI. T2, PD, and ADC values were significantly lower in malignant breast lesions compared to benign ones for all ROI methods (p < 0.05). Multiparameters of T2 + ADC demonstrated the highest AUC values (0.82~0.95), surpassing the diagnostic efficacy of ADC or T2 alone (p < 0.05). ConclusionsROI placement significantly influences ADC and synthetic MR values measured in breast tumors. Square ROI and mean values showed superior performance in differentiating benign and malignant breast lesions. The multiparameters of T2 + ADC surpassed the diagnostic efficacy of a single parameter.

Evaluation of next-generation sequencing versus next-generation flow cytometry for minimal-residual-disease detection in Chinese patients with multiple myeloma

PurposeTo evaluate the efficacy of next-generation sequencing (NGS) in minimal-residual-disease (MRD) monitoring in Chinese patients with multiple myeloma (MM).MethodsThis study analyzed 60 Chinese MM patients. During MRD monitoring in these patients’ post-therapy, clonal immunoglobulin heavy chain (IGH) rearrangements were detected via NGS using LymphoTrack assays. MRD monitoring was performed using NGS or next-generation flow cytometry (NGF), and the results were compared. Additionally, the sensitivity and reproducibility of the NGS method were assessed.ResultsThe MRD detection range of the NGS method was 10–6–10–1, which suggested good linearity, with a Pearson correlation coefficient of 0.985 and a limit of detection of 10–6. Intra- and inter-assay reproducibility analyses showed that NGS exhibited 100% reproducibility with low variability in clonal cells. At diagnosis, unique clones were found in 42 patients (70.0%) with clonal IGH rearrangements, which were used as clonality markers for MRD monitoring post-therapy. Comparison of NGS and NGF for MRD monitoring showed 79.1% concordance. No samples that tested MRD-positive via NGF were found negative via NGS, indicating the higher sensitivity of NGS. MRD could be detected using NGS in 6 of 7 samples before autologous hematopoietic stem-cell transplantation, and 5 of them tested negative post-transplantation. In contrast, the NGF method could detect MRD in only 1 sample pre-transplantation.ConclusionCompared with NGF, NGS exhibits higher sensitivity and reproducibility in MRD detection and can be an effective strategy for MRD monitoring in Chinese MM patients.

Comparison of ANN and SVR based models in sea level prediction for the Black Sea coast of Sinop

Seawater level oscillations are very critical to coastal construction, flood prevention and human living conditions. However, it is difficult to accurately project the daily future for seawater level due to the effects of wind, precipitation and other atmospheric conditions. For this reason, in this paper, artificial intelligence (AI) based Artificial Neural Networks (ANN) and Support Vector Regression (SVR) methods are applied for the estimation of seawater level in Sinop Coast. In addition, Multiple Linear Regression (MLR) is used as a benchmarking model. In this study, coefficient of determination (R2) and root mean square error (RMSE) were applied as model evaluation criteria. Besides, 15 minutes (approximately 22 months) sea water level data of Sinop Station were collected and used as is. The findings revealed that the ANN model can predict the water level for 1st, 2nd, 3rd, 4th days with correlation coefficients (R2) of 0.84, 0.67, 0.64, 0.63, respectively, and the SVR model can predict for 1st, 2nd days with correlation coefficients (R2) of 0.86, 0.66, respectively.

Exploring the depths of on‐water training in highly‐trained rowing athletes

AbstractThis investigation examined the association between on‐water rowing stroke‐rate (SR), velocity and heart‐rate (HR) in highly trained rowers (n = 8 male; n = 8 female and 19.3 ± 1.1 year) over a 4‐month real‐world (i.e., variable environment and boat class) training period. On‐water SR, prognostic velocity (percent of world's best velocity) and HR were captured for 1453 sessions via smart‐watch and chest‐strap HR monitor. Data was filtered and smoothed with individual HR training zones identified (T1–T5). Linear mixed modeling and an overlapping index () were used to assess differences in SR and prognostic velocity between HR zones. Correlation coefficient (r) was used to assess the SR and prognostic velocity relationship and progression of prognostic velocity at a SR of 20spm over time. There were significant differences in SR and prognostic velocity between HR zones (T1&gt;T2&gt;T3&gt;T4&gt;T5, p &lt; 0.001); however, data overlap between adjacent zones was substantial for both variables ( = 0.69–0.85; prognostic velocity: = 0.46–0.86). A significant, positive correlation (r = 0.50 and p &lt; 0.001) between SR and prognostic velocity was found. Progression of prognostic velocity at SR 20spm over the study duration was trivial (r = −0.01 and p = 0.71). Variables commonly used to prescribe and describe on‐water rowing training showed large variability in a real‐world training environment impacting the ability to accurately monitor training performance and progression.

Validity and test-retest reliability of the Swedish version of the Geriatric Depression Scale among very old adults.

The Geriatric Depression Scale (GDS) has shown good validity and reliability, but few studies have examined the GDS among very old adults or the Swedish translation. Evaluate the validity and reliability of the Swedish version of GDS-15 among very old adults. In the Umeå85 + /GErontological Regional DAtabase (GERDA) study, 387 participants were assessed with both the GDS-15 and the Montgomery-Åsberg Depression Rating Scale (MADRS). The mean age was 91years. Concurrent validity between the scales was calculated using Spearman's correlation. We used the Diagnostic and Statistical Manual of Mental Disorders (DSM) V symptom criteria for depression based on MADRS item scores to define depression. We calculated the Area Under the Curve (AUC) and found an optimal cut-off. A convenience sample with 60 individuals was used to calculate test-retest reliability with Cohen's kappa and Intraclass Correlation Coefficient (ICC). Spearman's correlation coefficients between total scores for GDS-15 and MADRS were 0.60. Cronbach's alpha for the whole scale was 0.73. The AUC was 0.90 for distinguishing major depression, and the recommended cut-off of ≥ 5 showed a sensitivity of 95.2% and specificity of 65.8%. The test-retest showed that Cohen's kappa was substantial (0.71) and the ICC was excellent (0.95). The Swedish version of the GDS-15 showed good validity and reliability among very old adults. The generally recommended cut-off of ≥ 5 seems reasonable to use with the Swedish version and among very old adults.

Reliability testing of the Health of the Nation Outcome Scales 2018.

The Health of the Nation Outcome Scales (HoNOS) is a widely used clinical measure designed to rate and monitor the outcomes of service users accessing specialist mental healthcare. Since its development (in 1996), numerous research studies have confirmed the HoNOS captures the aspects of care that it purports to (validity), and that clinicians' ratings are consistent both over time, and between different raters (reliability). In 2018, the HoNOS was reviewed with updates made to some terminology and other revisions intended to remove ambiguity in the guidance for raters. However, although the new version (HoNOS 2018) was accompanied by a recommendation that its validity and reliability be re-tested this was not undertaken. To our knowledge, this is the first study to re-assess the updated tool's reliability by measuring the level of agreement between different raters. Our findings confirm that there is an acceptable level of consistency between student mental health nurses that have been trained to use the (new) HoNOS 2018. The HoNOS is nationally mandated for use by all specialist mental healthcare providers in the UK. Our findings provide some assurance that, with appropriate update training and monitoring of organisational-level data sets, the original HoNOS glossary can safely be replaced with the HoNOS 2018 to ensure more contemporary routine outcome measurement can occur. INTRODUCTION: The Health of the Nation Outcome Scales (HoNOS) is a well-established clinician rated outcome measure for use in mental health services. Following an international review, an updated version (HoNOS 2018) was published with a recommendation that its psychometric properties be re-tested prior to widespread implementation. To date, only one such study has been published. To test the inter-rater agreement levels for HoNOS 2018. Third-year student mental health nurses received training to complete the HoNOS 2018. Following this timetabled session, they were each invited to independently rate two, randomly selected, videos of (simulated) patient interviews. The resulting data were then analysed to calculate the tool's internal consistency and inter-rater agreement levels. The 55 participants provided 106 ratings from four vignettes. Cronbach's alphas and McDonalds omegas confirmed the revised tool's internal consistency was acceptable. Average measure intraclass correlation coefficients for the four patient vignettes indicated excellent reliability. This study provides initial assurance that the HoNOS 2018 is a reliable clinician rated outcome measure suitable for use in routine clinical practice by relatively inexperienced mental health practitioners with limited training.

Correlation analysis and predicting modeling of pyrolysis gas based on landfill excavated waste pyrolysis characteristics

The contribution of excavated waste to waste management is multifaceted, including minimization, non-hazardous disposal, access to useable land resources, improved waste management techniques and public environmental awareness, consistent with recent circular economy initiatives. Pyrolysis can be converted into tar, pyrolysis gas and char with recyclable utilization, enriching the application of pyrolysis technology in the field of excavation waste. In this study, the pyrolysis system includes horizontal tube furnace, gas collection device and Micro GC. The excavated waste was pyrolyzed at a temperature of 500∼900 °C with a heating rate of 10 °C/min. Pyrolysis gases include H2, CO, CO2, CH4, C2H4, C2H6 and C3H8. Pyrolysis was divided into four stages, the main decomposition range is 230∼500 °C, with a weight loss rate of 68.49% and a co-pyrolysis behavior. As the temperature increases, the tar and char decreased and the gas production increased significantly, and the pyrolysis gas reached 47.02% at 900 °C. According to Pearson correlation coefficient analysis, the generation of H2 and CO is positively correlated with temperature. Therefore, the target products can be influenced by changing the parameters, when considering the practical utilization of the excavated waste pyrolysis products. On this basis, the prediction models were built by polynomial fitting method. This model can reduce the experimental exploration cycle, reduce the cost, and accurately predict the pyrolysis gas, which has practical guidance for the application of pyrolysis industry, and provides a theoretical basis for the resource recycling and energy recovery of landfill.

Type A standard uncertainty evaluation in one measurement through uncertainty propagation from voxel values’ distribution for computed tomography metrology

According to the guide to the expression of uncertainty in measurement, ‘type A evaluation’ generally requires repeated measurements, which are time-consuming for CT scans. To solve this problem, we developed a method for estimating the standard deviation of measurement results in one measurement through uncertainty propagation, which can be regarded as repeatability standard deviation to evaluate the type A standard uncertainty. The method first fits the CT voxel value distribution, uses the ISO50 method to determine the spatial distribution of surface points from the voxel value distribution and edge shape interpolation, and then derives the measurement results by fitting geometric parameters with the least square algorithm. Finally, the standard deviation of the measurement results is evaluated according to the distribution of the surface point position through uncertainty propagation. We performed simulations and experiments using the hole-plate with 28 holes to compare the uncertainty evaluated by our method and the type A standard uncertainty evaluated on the basis of a series of observations obtained under repeatability conditions. Both simulation and experimental results show that these two uncertainties follow the same statistical variation pattern. The Pearson correlation coefficients of the two uncertainties in simulation and experiment are 0.79 and 0.33, respectively, indicating that the uncertainty evaluated by the proposed method can directly replace the type A uncertainty or provide a reference similar to type A uncertainty for the evaluation of the combined uncertainty.

Global, regional, and national temporal trends of diet-related ischemic stroke mortality and disability from 1990 to 2019.

Stroke is the second leading cause of death and the third leading cause of disability in the general population worldwide. However, the changing trend of ischemic stroke burden attributable to various dietary risk factors has not been fully revealed and may contribute to a better understanding of stroke epidemiology. Our article aimed to evaluate the temporal trend of diet-related ischemic stroke burden to inform future research and policy-making. This analysis was based on the data from the Global Burden of Disease (GBD) Study 2019 (spanning years 1990 to 2019), and we used the joinpoint regression to model temporal trends in diet-related ischemic stroke burden across countries and regions of the world during the study period. Six specific dietary factors known to influence stroke risk, including sodium, red meat, fiber, vegetables, whole grains, and fruits, were evaluated in the GBD study to determine their individual and joint impact on ischemic stroke. The changing trend was primarily measured by the average annual percent change (AAPC). Age-standardized rates (ASRs) of mortality and years lived with disability (YLD) per 100,000 population were used to evaluate disease burden. Finally, the socioeconomic background, which was quantified as sociodemographic index (SDI), and its association with diet-related ischemic stroke burden were also explored with the Pearson correlation coefficient. During the study period, the ischemic stroke ASR of mortality attributable to overall dietary risk decreased by an average of 1.6% per year, while the ASR of YLD decreased by an average of 0.2% per year. High sodium diet was still a key driver of diet-related ischemic stroke, accounting for 8.4% and 11.0% of deaths and disabilities, respectively, in 2019. In addition, we found a negative association between temporal evolution of stroke burden and socioeconomic background (r = -0.6603 for mortality and r = -0.4224 for disability, P < 0.001), which suggested that the developing countries with weak social and economic foundation faced greater challenges from the ongoing burden of diet-related strokes compared with developed countries. Our study found declining trends and revealed the current status of diet-related ischemic stroke mortality and disability. Interdisciplinary countermeasures involving the development of effective food policies, evidence-based guidelines, and public education are needed in the future to combat this global epidemic. The data used for analysis were open-access and can be obtained from https://vizhub.healthdata.org/gbd-results/.

Factors Affecting Nursing Work Teams: A Cross-Sectional Study in Teaching Hospitals Affiliated with Shiraz University of Medical Sciences

Background: Nurses, as vital members of healthcare system, play a crucial role in improving society's health, which makes it very important to develop work teams among them. This study aims to investigate the factors affecting nursing work teams in teaching hospitals affiliated with Shiraz University of Medical Sciences in 2022.&#x0D; Methods: This study was a cross-sectional study conducted in 2022 on a sample of 267 nurses from teaching hospitals affiliated with Shiraz University of Medical Sciences who were selected using simple random sampling and the stratified method proportional to the size. Data collection tool used in this study was a valid and reliable questionnaire comprising 2 parts: nurses' demographic characteristics and 39 items related to factors affecting work teams. Data analysis was performed using SPSS 23 software through Spearman correlation coefficient, Mann-Whitney, and Kruskal-Wallis tests, and finally, multiple linear regression (the Backward method).&#x0D; Results: The results showed that the dimensions of "team goals" (22.93 ± 5.44) and "personality traits" (8.41 ±1.79) obtained the highest and lowest mean scores, respectively. Furthermore, the results of linear regression analysis showed that the effectiveness of work teams had a significant inverse relationship with the number of shifts (p = 0.034) and a significant direct relationship with employment in the intensive care units (p = 0.032).&#x0D; Conclusion: Based on the findings, several suggestions can be made to enhance the effectiveness of nursing work teams, including hiring adequate staff to reduce the number of nurses' work shifts, particularly in the intensive care units, ncouraging other hospital wards to follow the example of the work in intensive care units, establishing a system for determining and adjusting nurses' work shifts based on their opinions and priorities, conducting monthly, quarterly, and annual assessment based on attendance and participation in nursing work teams, encouraging more active nurses in this field, and considering various rewards for effective nursing work teams.

Biofilm Development by Mycobacterium avium Complex Clinical Isolates: Effect of Clarithromycin in Ultrastructure.

The Mycobacterium avium complex includes the commonest non-tuberculous mycobacteria associated with human infections. These infections have been associated with the production of biofilms in many cases, but there are only a few studies about biofilms produced by the species included in this group. Three collection strains (M. avium ATCC25291, M. intracellulare ATCC13950, and M. chimaera DSM756), three clinically significant strains (647, 657, and 655), and three clinically non-significant ones (717, 505, and 575) of each species were included. The clinical significance of the clinical isolates was established according to the internationally accepted criteria. The biofilm ultrastructure was studied by Confocal-Laser Scanning Microscopy by using BacLight Live-Dead and Nile Red stains. The viability, covered surface, height, and relative autofluorescence were measured in several images/strain. The effect of clarithromycin was studied by using the technique described by Muñoz-Egea et al. with modifications regarding incubation time. The study included clarithromycin in the culture medium at a concentration achievable in the lungs (11.3 mg/L), using one row of wells as the control without antibiotics. The bacterial viability inside the biofilm is expressed as a percentage of viable cells. The differences between the different parameters of the biofilm ultrastructure were analyzed by using the Kruskal-Wallis test. The correlation between bacterial viability in the biofilm and treatment time was evaluated by using Spearman's rank correlation coefficient (ρ). The strains showed differences between them with all the studied parameters, but neither a species-specific pattern nor a clinical-significance-specific pattern were detected. For the effect of clarithromycin, the viability of the bacteria contained in the biofilm was inversely proportional to the exposure time of the biofilm (ρ > -0.3; p-value < 0.05), excluding two M. chimaera strains (M. chimaera DSM756 and 575), which showed a weak positive correlation with treatment time (0.2 < ρ < 0.39; p-value < 0.05). Curiously, despite a clarithromycin treatment of 216 h, the percentage of the biofilm viability of the strains evaluated here was not less than 40% at best (M. avium 717). All the M. avium complex strains studied can form biofilm in vitro, but the ultrastructural characteristics between them suggest that these are strain-specific characteristics unrelated to the species or the clinical significance. The clarithromycin effect on MAC species is biofilm-age/time-of-treatment-dependent and appears to be strain-specific while being independent of the clinical significance of the strain.

Bridging Geospatial and Semantic Worlds: Enhancing Analysis of Place-Based Concepts in GIS

People’s actions and behaviours contribute to the diversity and personality of a space, transforming it into a vibrant and thriving living environment. The main goal of this research is to present a GIS-based framework for assessing places. The framework is constructed based on the idea of conceptual spaces, integrating spatial and semantic concepts inside a geometric structure. The explanation of place-related concepts is achieved via the use of linear programming and convex polytopes. By projecting these concepts into the spatial domain, a strong connection between geographical and semantic space is established. This connection allows a wide range of analytical calculations using geographic information systems to be carried out. The study focuses on the sense of city centre in Tehran, Iran, by employing questionnaires administrated on-site to evaluate the correlation between identified city centres and the participants’ responses. The findings demonstrate a good correlation, as shown by a Pearson correlation value of 0.74 and a rank correlation coefficient of 0.8. Interestingly, the city centres that were selected did not always align with the geographic centre. However, participants still perceived them as city centres. This framework serves as a valuable tool for planners and policymakers, providing a comprehensive understanding of the built environment. By considering both semantic and geographical aspects, the framework emphasises the importance of emotions, memories, and meanings in creating an inclusive environment.

Effects of the prone position on gas exchange and ventilatory mechanics and their correlations with mechanical power in burn patients with ARDS

Background Prone position has many documented benefits on severe ARDS patients especially on mortality. The benefits in ARDS secondary to severe burns have not been fully documented. Aim To quantify the effects of prone positioning on gas exchange, ventilatory mechanics and their correlations with mechanical power in burn subjects with ARDS. Methods Cross-sectional observational analytical study that took place between January 2023 and October 2023 in Burns ICU in Brazil on subjects with moderate to severe ARDS ventilated with the volume controlled mode. Data were collected in the first prone positioning lasting 24 hours in the first 30 minutes after changing position and 30 minutes before returning to the supine position. The parameters of the components of mechanical ventilation and mechanical power calculated by the Gatinoni’s formula (respiratory rate, tidal volume, driving pressure, PEEP, peak and plateau pressures) were collected to evaluate ventilatory mechanics, and the values of the FiO2, PaO2, PaO2/FiO2 ratio, SpO2, EtCO2, PaCO2, PaCO2 - EtCO2 gradient to assess gas exchange. Mean, minimum and maximum values, 1st and 3rd quartiles, median and standard deviation are calculated. To compare the results obtained at the two evaluation moments, the student’s t-test for dependent samples and non-parametric Wilcoxon tests were considered. To evaluate the association between the variation between the two moments of each variable, and the variation in mechanical power, the Pearson correlation coefficient was calculated. The normality of the variables was assessed using the Jarque-Béra test. P values &lt;0.05 indicated statistical significance. Results Except for EtCO2 (P 0.939) and PaCO2 (P 0.391) all other variables presented statistical significance in relation to their variations with reduction in FiO2 (P &lt;0.001), reduction in PaCO2 - EtCO2 gradient (P 0.011), and increases in PaO2 (P 0.008), PaO2/FiO2 (P &lt;0.001), SpO2 (P 0.004). In the analysis of variables, reduction in respiratory rate (P 0.142), VT (P 0.385), peak pressure (P 0.085), plateau pressure (P 0.009), PEEP (P 0.032), driving pressure (P 0.083), elastance (P 0.180), mechanical power (P &lt; 0.001) with increase static compliance (P 0.414) and resistance pressure (P 0.443). Among the ventilatory mechanics variables, only the reductions in plateau pressure, PEEP, and mechanical power showed statistical significance. Conclusion The prone position in burns induced ARDS improved oxygenation and reduced arterial partial pressure to end tidal CO2 gradient, furthermore, reducing plateau pressures and PEEP, which in turn reduced mechanical power. Keywords: mechanical power, burns, ARDS, prone position

Correlates of post-traumatic growth among persons bereaved from cancer: A systematic review and meta-analysis.

Recent research identified that cancer bereavement can lead to post-traumatic growth (PTG). Although PTG and its correlates are well explored in cancer patients and survivors, persons bereaved from cancer have received scant attention. Therefore, the present review attempts to identify the correlates of PTG among persons bereaved from cancer. A systematic search in PubMed, Web of Science, APA PsycNet, Science Direct, Scopus, and Wiley was conducted to identify quantitative studies published in English, resulting in 12 eligible reports being included in the final analysis. JBI critical checklists were employed to appraise the risk of bias. The review identified 17 correlates, which were classified into four categories: demographic factors (age, gender, religious status, level of education), loss-related factors (time since death, quality of death, prolonged grief symptoms), interpersonal factors (relationship to the deceased, social support, attachment style, bereavement behaviours) and intrapersonal factors (resilience, coping, rumination, benevolence, meaningfulness, self-worth). Random effects meta-analyses on six correlates revealed correlation coefficients of age = -0.02 (95% CI: -0.35-0.31), gender = 0.27 (95% CI: 0.08-0.45), time since death = 0.09 (95% CI: -0.02-0.20), quality of death = 0.29 (95% CI: -0.01-0.54), prolonged grief symptoms = 0.22 (95% CI: 0.08-0.35) and relationship to the deceased = 0.13 (95% CI: -0.03-0.29). Fixed effects meta-analysis was performed for social support (r = 0.13, 95% CI: 0.04-0.21). However, PTG was found to be significantly associated with gender, prolonged grief symptoms, and social support. Very few studies examined PTG among persons bereaved from cancer, highlighting the need for increased attention, understanding, and conceptualisation of PTG in the population.

Impact of Internal Control Challenges on Financial Performance of Local Government Councils of Nasarawa State

This research work examined the impact of internal control challenges on the financial performance of local government councils in Nasarawa State, Nigeria. The study employed a mixed-methods approach, combining qualitative and quantitative research methods. Qualitative data are gathered through interviews and focus group discussions with relevant stakeholders, including council officials, financial managers, auditors, and community representatives. Quantitative data are collected through surveys and analysis of financial reports and performance indicators. A structured close ended questionnaire was administered to 211 staff that forms the sample size. The study used the correlation coefficient to establish the relationship between internal control challenges and financial performance, while the multiple regression analysis was used to test all the hypotheses of the study at 0.05 level of significance. Result of the correlation indicates significant relation between internal Control and financial performance whereas the regression analysis found that internal control challenges have significant positive impact on financial performance of Local Government Councils in Nasarawa State. It concluded therefore that effective accountability and stable financial practices in Local Government Councils can only be achieved through a properly instituted internal control system with free or minimal challenges. It recommended that: functions and responsibilities within the local government councils are clearly defined and separated.

Nurse Interns’ Perception of Clinical Preparation and Readiness for Clinical Internship Experiences

Background. As nursing interns enter challenging clinical settings, evaluating their preparation and readiness is vital for adaptation success. Sufficient real-world experience and patient care are crucial preparation components that enable effective practice and higher competencies. Aim. This study aimed to assess nurse interns’ perception of clinical preparation and readiness for clinical internship experiences. Methods. A self-administered questionnaire was distributed, comprising three sections on demographics, clinical preparation requirements, and the Casey–Fink Readiness for Practice Survey. Descriptive statistics as the mean and standard deviation, numbers and percentages, linear regression model, and Pearson correlation coefficient were used for reporting normal distribution, categorical variables, and relationship between a scalar response and one or more explanatory variables and to calculate statistics between two continuous variables. Results. The participants were 130 nurse interns who were involved in an internship between 2016 and 2020, 50% of the nurse interns. They had a moderate level of clinical preparation, and 28.5% of them exhibited a low level. In addition, 53.8% were found to be moderately ready for practice, while 22.3% had a low level of readiness Conclusion. The observed significant positive correlation between perceived preparation and readiness underscores the pivotal role of clinical preparation in influencing practice readiness. Implications. These findings emphasize the importance of targeted interventions aimed at enhancing clinical preparation to directly bolster overall readiness for professional practice among nurse interns.