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Research interest in thriving at work has burgeoned over the past decades, but little is known about how human resource (HR) practices affect employees' thriving at work. Drawing upon self‐determination theory and person‐organization fit theory, we developed and tested a moderated mediation model to explain how fun HR practices influence employees' thriving at work. The results of two studies, a scenario experiment (N = 164) and a time‐lagged survey (N = 253), supported our hypotheses. Specifically, the findings revealed that fun HR practices relates positively to employees' thriving at work. Autonomous motivation partially mediates the abovementioned relationship. Furthermore, fun HR practices translate into higher autonomous motivation and subsequent thriving at work for employees with higher preference for workplace fun. Our research contributes to the existing literature by identifying fun HR practices as an antecedent of thriving at work and revealing the psychological mechanisms through which fun HR practices affect employees' thriving at work. The practical implications, limitations, and future research avenues are also discussed. [ABSTRACT FROM AUTHOR]

This study deals with a closed-loop supply chain where inventory levels are controlled by an order-up-to inventory policy. The system under consideration is the cylinder-packaged gas supply chain of Air Liquide company, where empty cylinders used by customers are returned to be filled again by company plants. First, we examine the goodness of fit for demand distributions based on company real data. This enables us to better characterise demands pertaining to different classes of products. Then, we formulate the multi-echelon serial inventory model to be optimised and propose a heuristic to compute the target inventory levels that helps in achieving the desired customer service level while minimising the total inventory cost. The proposed heuristic is easy to implement in the field and gives results close those obtained using a simulation-optimisation approach that is more time-consuming. Finally, we perform a numerical analysis based on company real data and compare several methods that can be used to compute the target inventory levels by varying mainly two assumptions: parameters regarding demand distributions and metrics used to assess customer service levels. [ABSTRACT FROM AUTHOR]

There is an increasing body of research on algorithmic management (AM), but the field lacks measurement tools to capture workers' experiences of this phenomenon. Based on existing literature, we developed and validated the algorithmic management questionnaire (AMQ) to measure the perceptions of workers regarding their level of exposure to AM. Across three samples (overall n = 1332 gig workers), we show the content, factorial, discriminant, convergent, and predictive validity of the scale. The final 20‐item scale assesses workers' perceived level of exposure to algorithmic: monitoring, goal setting, scheduling, performance rating, and compensation. These dimensions formed a higher order construct assessing overall exposure to algorithmic management, which was found to be, as expected, negatively related to the work characteristics of job autonomy and job complexity and, indirectly, to work engagement. Supplementary analyses revealed that perceptions of exposure to AM reflect the objective presence of AM dimensions beyond individual variations in exposure. Overall, the results suggest the suitability of the AMQ to assess workers' perceived exposure to algorithmic management, which paves the way for further research on the impacts of these rapidly accelerating systems. [ABSTRACT FROM AUTHOR]

This study aimed to determine whether the Relative Age Effect (RAE) was present in different sexes and age categories in 12 elite-level international amateur boxing competitions. A total of 4813 athletes competing between 2013 and 2022 were analysed. Athletes were split into four quartiles according to their birth date and compared to the expected (equal) birth date distribution using chi-squared goodness of fit. The results revealed greater RAE prevalence in youth compared to the senior group. RAE was more prominent in males compared to females, with the female group showing an inverse RAE trend. Odds ratio (OR) showed an overrepresentation of male boxers born in Q1 compared to Q4 (OR > 1.19-1.33), while senior female boxers presented an inverse trend (OR < 0.95). Odds Ratios for medallists within the youth group were greater than 1.07 (except Q3 × Q4 = 0.93) highlighting an overrepresentation of boxers born earlier in the year. A shift in strategy to reduce the RAE in young boxers whereby coaches focus less on the short-term pursuit of sporting success is encouraged. Organisations and coaches should increase awareness and provide systematic education around RAE, whilst creating equal competitive opportunities for all young boxers to reduce the extent of RAE in boxing. [ABSTRACT FROM AUTHOR]

This paper discusses estimation and limited‐information goodness‐of‐fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights. The paper extends the applicability of pairwise likelihood estimation for factor models with binary data to accommodate complex sampling designs. Additionally, it introduces two key limited‐information test statistics: the Pearson chi‐squared test and the Wald test. To enhance computational efficiency, the paper introduces modifications to both test statistics. The performance of the estimation and the proposed test statistics under simple random sampling and unequal probability sampling is evaluated using simulated data. [ABSTRACT FROM AUTHOR]

Background: Advances in in vivo MRI techniques enable cerebral barrier transfer rates (Ktrans) measurement in patients with vascular cognitive impairment and dementia (VCID). However, a consensus has not been reached on the dynamic contribution and importance of cerebral barrier abnormalities to the differential diagnosis of dementia subtypes. Our goal was to investigate the dynamics of blood-brain barrier (BBB) and blood-CSF barrier (BCSFB) Ktrans in patients with VCID longitudinally and determine the effect of aging. Methods: We studied subjects at two time points over two years; they were 65.5 years of age (SD = 15.94, M/F = 24/14) at the first visit. We studied 38 patients, 18 of whom had two visits. We calculated the BBB and BCSFB Ktrans with dynamic contrast-enhanced T1 MR, and we used 1H-MR spectroscopy to measure N-acetylaspartate (NAA) levels in the white matter as a marker of injury. In addition, we measured CSF levels of active-matrix metalloproteinase-3 (MMP3) as an inflammatory biomarker to aid in patient clustering. Results: Longitudinal BBB measurements revealed variable dynamic behavior: after two years, the BBB Ktrans increased in 55% of patients and decreased in the remaining 45% unpredictably. We did not find a significant linear model of BBB Ktrans versus age for VCID. For healthy controls, the model was Ktrans = 0.0014 + 0.0002 age, which was significant (p = 0.046). VCID patients showed a reduction in BCSFB Ktrans compared to healthy controls (p = 0.01). Combining NAA, CSF MMP3, and Ktrans in a clustering analysis separated patients into groups. Conclusion: These results suggest that BBB Ktrans in VCID is dynamic and BCSFB Ktrans reduced by age. By combining inflammatory biomarkers with BBB Ktrans data, it is possible to separate VCID patients into distinct groups with different underlying pathologies. [ABSTRACT FROM AUTHOR]

Background: Understanding the student's perspective of their clinical learning environment (CLE) might assist to discover solutions to improve the learning process and increase engagement. However, there is a lack of information on this issue, particularly in Ethiopia. The purpose of this study was to assess the satisfaction of undergraduate medical and health science students with their clinical learning environment, as well as to identify the factors that affect it. Methods: Institutional-based cross-sectional study was conducted using a self-administered questionnaire among 412 medical and health science students from Debre Markos University in 2023 through a simple random sampling technique. Mean, median, frequencies, and percentages were used to describe the data. A multivariate logistic regression model was fitted to test the association of dependent and independent variables. The Hosmer-Lemeshow goodness-of-fit test was used to check the fitness of the model. Variables with a p-value < 0.05 with a 95% confidence interval were considered statistically significant. Results: The questionnaire was completed by 394 individuals in total, generating a response rate of 95.63%. Approximately half (49.7%) of the participants were satisfied with their CLE. Age (AOR = 1.12; 95%CI = 1.02, 1.22), university positive perceptions (AOR = 1.60; 95%CI = 1.04, 2.43) and curriculum positive perception (AOR = 2.70; 95%CI = 1.73, 4.10) were all positively associated with CLE satisfaction. Conclusion: In this study, approximately half of the respondents were satisfied with their CLE. Age, positive perceptions of the university and positive perceptions of the curriculum were all positively associated with CLE satisfaction. The university and clinical facilitators should work together to improve infrastructure, and the facilities at the university, build dormitories at the clinical placement sites, as well as the curriculum review should involve students to increase their academic performance, self-esteem, and satisfaction with CLE. [ABSTRACT FROM AUTHOR]

Background: Among medical residents, suicide is the second most prevalent cause of mortality. In Iran, the suicide of medical residents has become one of the most important challenges. This study aimed to investigate the mediating role of psychological distress in the relationship between perfectionism and suicidal ideation among medical residents in Iran. Methods: This research was a descriptive-correlational study based on structural equation modeling. The statistical population of the present research included all the residents in Shahid Beheshti University of Medical Sciences (SBMU) in 2023, of whom 277 people were selected as a sample using the available sampling method. The Beck Scale for Suicidal Ideation (BSSI-1997), the Tehran Multidimensional Perfectionism Scale (TMPS-2007) and the Depression, Anxiety and Stress Scale (DASS-21-1995) were used to collect the data. Data was analyzed using structural equation modeling with SPSS and Amos software version 22. Results: Out of 277 participants, 30% (N = 83) were male and 70% (N = 194) were female. The findings showed that the research model had goodness of fit. There was a significant relationship between perfectionism and psychological distress (β = 0.76, P < 0/001) and between psychological distress and suicidal thoughts (β = 0.66, P < 0/001). However, there was no direct relationship between perfectionism and suicidal ideation (P > 0.01), but perfectionism played a role in residents' suicidal ideation through psychological distress (β = 0.50, P < 0/001). In other words, perfectionism led to suicidal ideation by increasing the psychological distress of the residents. In addition, perfectionism and psychological distress were able to explain 42% of the variances of suicidal ideation (R2 = 0/42). Conclusion: The results highlighted the crucial role of psychological distress in suicidal ideation of medical residents. Accordingly, substantial support from health-sector managers and policymakers is essential to meet the requirements of medical residents. [ABSTRACT FROM AUTHOR]

Objective: To evaluate value of Nomogram prediction model based on CTA imaging features for selecting treatment methods for isolated superior mesenteric artery dissection (ISMAD). Methods: Symptomatic ISMAD patients were randomly divided into a training set and a validation set in a 7:3 ratio. In the training set, relevant risk factors for conservative treatment failure in ISMAD patients were analyzed, and a Nomogram prediction model for treatment outcome of ISMAD was constructed with risk factors. The predictive value of the model was evaluated. Results: Low true lumen residual ratio (TLRR), long dissection length, and large arterial angle (superior mesenteric artery [SMA]/abdominal aorta [AA]) were identified as independent high-risk factors for conservative treatment failure (P < 0.05). The receiver operating characteristic curve (ROC) results showed that the area under curve (AUC) of Nomogram prediction model was 0.826 (95% CI: 0.740–0.912), indicating good discrimination. The Hosmer-Lemeshow goodness-of-fit test showed good consistency between the predicted curve and the ideal curve of the Nomogram prediction model. The decision curve analysis (DCA) analysis results showed that when probability threshold for the occurrence of conservative treatment failure predicted was 0.05–0.98, patients could obtain more net benefits. Similar results were obtained for the predictive value in the validation set. Conclusion: Low TLRR, long dissection length, and large arterial angle (SMA/AA) are independent high-risk factors for conservative treatment failure in ISMAD. The Nomogram model constructed with independent high-risk factors has good clinical effectiveness in predicting the failure. [ABSTRACT FROM AUTHOR]

For a sequence consisting of independent random variables having a Bernoulli distribution with the parameter p = 1 2 the limit joint distribution of the statistics T1, T2, T3 of the following three tests of the NIST package is obtained: «Monobit Test», «Frequency Test within a Block»and «Test for the Longest Run of Ones in a Block». It is proved that the covariance matrix C of the limit distribution of the vector (T1, T2, T3) satisfies the relations C12 = C21 = C13 = C31 = 0, C23 = C32 ≥ 0. For arbitrary p necessary and sufficient conditions for asymptotic uncorrelatedness and/or asymptotic independence of these statistics are obtained. The limit behavior of the vector (T1, T2, T3) is described for a wide class of values p ≠ 1 2 . [ABSTRACT FROM AUTHOR]

A series of empirical analytical tools have been adopted to investigate the driving mechanisms of surface urban heat islands (SUHI) on a global scale, among which spatial heterogeneity is yet to be fully elucidated. In this study, we investigated the spatial non-stationarity of the driving factors concerning surface properties, climate conditions, and urbanization processes for global long-term SUHI. First, the potential impact on SUHI was explored using global ordinary least squares regression. Geographically weighted regression (GWR) and multi-scale GWR (MGWR) from local perspectives were employed for comparison. The results show that the MGWR has the highest goodness of fit at 0.87, 0.73, 0.90, 0.74, 0.85, and 0.76 for annual day/night (AD/AN), summer day/night (SD/SN), and winter day/night (WD/WN) scales, respectively. Although both global and local schemes exhibit similar influencing magnitudes and signs on the SUHI, the MGWR is better at capturing spatial non-stationarity. Globally, for AD, AN, SD, SN, WD, and WN, the coefficients of the urban-rural vegetation index difference (ΔEVI) and surface albedo difference (ΔWSA), urban mean precipitation (MAP), wind speed (WS), population density (PD), and urban area (UA) are −0.50, +0.30, +0.16, +1.31, −0.03, and +0.03, respectively, at daytime, and −0.38, −0.33, −0.39, −0.10, +0.18, and +0.08, respectively, at night-time. Given the spatial heterogeneity of multiple factors, ΔEVI exhibits a strong mitigation effect on the SD SUHI especially in arid zones. The negative influence of ΔWSA on night-time SUHI demonstrates a strong latitudinal disparity and greater sensitivity in the equatorial zone. The positive correlations between MAP and AD/SD SUHIs have evident latitudinal and longitudinal variations. The mitigation effect of WS displayed distinct coastal amplification, especially in WD. In contrast, the PD and UA presented prominent positive impacts on night-time SUHI with less seasonal contrast. [ABSTRACT FROM AUTHOR]

ABSTRACT Objective Design Setting Population Methods Main Outcome Measures Results Conclusions To assess the added value of fetal fraction of cell‐free DNA in the maternal circulation in the prediction of adverse pregnancy outcomes.Retrospective cohort study.Nationwide implementation study on non‐invasive prenatal testing (NIPT; TRIDENT‐2 study).Pregnant women in the Netherlands opting for NIPT between June 2018 and June 2019.Two logistic regression prediction models were constructed for each adverse pregnancy outcome. The first model (base model) included prognostic clinical parameters that were selected from existing first‐trimester prediction models for adverse pregnancy outcomes. The second model (fetal fraction model) included fetal fraction as a predictor on top of the prognostic clinical parameters included in the base model. The added prognostic value of fetal fraction was assessed by comparing the base and fetal fraction models in terms of goodness of fit and predictive performance.Likelihood ratio test (LRT), area under the curve (AUC) and Integrated Discrimination Improvement (IDI) index.The study cohort consisted of 56 110 pregnancies. The incidence of adverse pregnancy outcomes was 5.7% for hypertensive disorders of pregnancy (HDP; n = 3207), 10.2% for birthweight < p10 (n = 5726), 3.2% for birthweight < p2.3 (n = 1796), 3.4% for spontaneous preterm birth (sPTB; n = 1891), 3.4% for diabetes (n = 1902) and 1.3% for congenital anomalies (n = 741). Adding fetal fraction to the base model improved model fit for HDP, birthweight < p10, birthweight < p2.3, all sPTB, and diabetes, but not for congenital anomalies (LRT p < 0.05). For HDP, the AUC improved from 0.67 to 0.68 by adding fetal fraction to the base model (p = 0.14) with an IDI of 0.0018 (p < 0.0001). For birthweight < p10, the AUC improved from 0.65 to 0.66 (p < 0.0001) with an IDI of 0.0023 (p < 0.0001). For birthweight < p2.3, the AUC improved from 0.67 to 0.69 (p < 0.0001) with an IDI of 0.0011 (p < 0.0001). For all sPTB, the AUC was similar for both models (AUC 0.63, p = 0.021) with an IDI of 0.00028 (p = 0.0023). For diabetes, the AUC was similar (AUC 0.72, p = 0.35) with an IDI of 0.00055 (p = 0.00015).Fetal fraction has statistically significant but limited prognostic value in the prediction of adverse pregnancy outcomes in addition to known prognostic clinical parameters. [ABSTRACT FROM AUTHOR]

As Korea is rapidly becoming an aging society, people are increasingly interested in the life satisfaction of the older adults. Therefore, the need for a tool that can precisely measure the life satisfaction of the older adults in Korea is also increasing. In this study, SWLS, which has been widely used to measure life satisfaction, was applied to Korean older adults. This study analyzed the life satisfaction of the older adults using item response theory that can supplement the limitations of existing research methods. Data from 3543 older adults who responded to the 2021 Korean Happiness Survey. As a result of the analysis, it was found that the goodness of fit of item 5 exceeded the standard value, and item 4 functioned differentially between the young-old and old-old. Based on the results of this study, it presented an empirical basis for the application of SWLS to the older adults. [ABSTRACT FROM AUTHOR]

The purpose of this study is to systematically investigate the segmental seismicity features of the Zhangjiakou-Bohai tectonic belt to understand the characteristics of the seismic activity in this tectonic area and identify potential sources of strong earthquake hazard. From the collected seismic data, we first determined the minimum completeness magnitude by combining qualitative and quantitative methods, such as the detection rate function, maximum curvature (MAXC) method, goodness of fit (GFT) method and magnitude-rank method. We used the stochastic declustering method based on the space-time ETAS model to obtain the background seismicity. We then implemented the accelerating moment release (AMR) model, the Ogata-Katsura 1993 (OK1993) model, the moment ratio (MR) model and the Region-Time-Length (RTL) algorithm. Finally, we analyzed the spatial migration of strong earthquakes. The completeness magnitude of the earthquake sequence does not significantly change with time, with the minimum completeness magnitude being 2.0 for the Zhangjiakou-Bohai tectonic zone. The results provided by the aforementioned seismic activity models allow us to detect some differences between sectors of the tectonic belt. The Zhangjiakou and Tangshan segments show a higher level of seismic hazard compared to the others, which have little chance of a strong earthquake occurring (weak release of seismic energy). The b value of the Zhangjiakou segment shows a stepwise downward trend, reflecting the gradual increase of stress accumulation level, and the hazard of moderate-strong earthquakes is increasing. Compared with the Tangshan and Penglai segments, the Zhangjiakou and Beijing sectors have a slightly higher MR index, which means that the rate of earthquake occurrence is increasing and thus the hazard of moderate to strong earthquakes. According to the RTL value, the deviation of seismic activity in the Zhangjiakou and Tangshan segments is relatively high, and there is a possibility of moderate to strong earthquakes in the future. Based on the results obtained from various seismicity models and the migration law of strong earthquakes, we can say that the overall seismic hazard for each sector of the Zhangjiakou-Bohai tectonic chain is low in terms of qualitative analysis. If anything, the Zhangjiakou segment, which is the section with the relatively high seismic hazard level, should require our attention in the future. [ABSTRACT FROM AUTHOR]

There has been a growing emphasis on examining the impact of mindfulness and emotion regulation on relationship outcomes. This study explores the potential mediating role of mindfulness and challenges in emotion regulation in the connection between marital life satisfaction and couple burnout, which collectively influence the general well-being and quality of life of couples. A structural equation model was constructed, and the model's fit indices were deemed acceptable. It was determined that mindfulness and difficulties in emotion regulation, in combination, serially mediated the association between couple burnout and marital life satisfaction. [ABSTRACT FROM AUTHOR]

Summary: An empirical model was developed for dehydrating tomato's peels and seeds (TPS) at three different temperatures (i.e. 50 °C, 60 °C and 70 °C). The model assumes that there is an initial constant drying rate period (first stage) followed by a decreasing drying rate period (second stage). To assess the goodness of fitting procedure, the mean relative deviation modulus E¯% was calculated. Results indicate that the model can adequately describe the dehydration data. The robustness of the model was further tested by evaluating the dependence of model parameters on the temperature, using an Arrhenius‐type equation. Recorded findings show that model parameters changed with the temperature, thus confirming that the proposed model can be advantageously used to describe the dehydration kinetic of TPS. The influence of TPS dehydration on temperature was also assessed by calculating the dehydration rate as function of TPS water content. Results demonstrate that the dehydration rate increases as the testing temperature increases too. In both drying stages, the difference between the dehydration rate at 50 °C and the one at the other two temperatures is more marked. [ABSTRACT FROM AUTHOR]

Hydrogen will play critical pole in industrial field, heating field and transportation field, which can achieve mutual conversion of different energies. Hydrogen load prediction demand is important for establishing unified energy system, a novel prediction model is established based on particle swarm algorithm (PSA) and grey Ridgelet neural network (GRNN) to improve medium and long term hydrogen load demand prediction accuracy. Firstly hydrogen load demand prediction model in unified energy system is established, which concludes hydrogen load demand prediction models in industrial field, heating field and transportation field, and then total hydrogen demand model is deduced. Secondly, model of GRNN is constructed based on grey system theory and Ridgelet neural network, analysis procedure of GRNN is established. Structure of GRNN is confirmed, and mathematical model is constructed. To enhance prediction effectiveness of GRNN, PSA is used to optimize parameters of GRNN. Finally hydrogen load demand data in a province is selected to carry out prediction simulation, results show that prediction error of proposed PSA-GRNN ranges from 1.88% to 3.02%, which is less than that of other three prediction models, and fit goodness of proposed PSA-GRNN ranges from 0.958 to 0.985, which is also less than that of other three prediction models. Therefore proposed PSA-GRNN has better prediction precision and efficiency, which can obtain better precision effect and applicability. Hydrogen load demand prediction results in heating field based on PSAGRNN are closer to real value than that based on other three prediction models, results show that proposed PSA-GRNN has better prediction accuracy that other three prediction models. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Design Methods Results Conclusion Implications and Impact Reporting Method Patient or Public Contribution To identify whether the introduction of low‐low hospital beds resulted in changes in the incidence, associated patient harms and event characteristics of bed‐related falls where implemented.This retrospective quality improvement study covered 36 months: 18 months pre‐intervention and 18 months post‐intervention.Our analysis incorporated patient fall data from a hospital in upstate New York. Pre‐/post‐intervention data covered 18 months on either side of introduction at the units of implementation. Data were sourced from contemporaneously recorded incident reports and the organisation's business intelligence records. Analysis addressed the incidence rate, frequency, patient harm classification and recurrence of bed‐related falls, as well as Morse Fall Scale risk classification, patient age, gender and other individualised risk factors. Lastly, we reviewed the presence of individualised interventions, staff assistance during the event, patient census and staffing ratios. Chi‐square goodness of fit tests were employed to compare the distribution, and Brunner‐Munzel tests the stochastic equality, of the pre‐ and post‐implementation categorical and continuous data.There were no significant differences in the incidence rate of bed‐related falls, patient harms or in the need for medical intervention following implementation of the low‐low hospital beds. Neither were there any significant differences in the proportion of events resulting in detectable harm or the need for medical intervention post‐implementation. The total number of bed‐involved falls substantively increased following implementation of the low‐low beds, as did the number of events resulting in detectable harms and medical intervention. Among these, substantive increases were noted among events resulting in minor temporary harm and patients referred for diagnostic imaging. The number of events involved patients experiencing recurrent falls of any kind increased significantly post‐implementation.We found that the introduction of low‐low hospital beds preceded no change in the incidence of bed‐related falls, associated patient harms or the need for post‐event medical intervention where implemented. While data limitations precluded definitive determination with respect to certain event characteristics, several post‐implementation changes, including substantive increases in the number of falls occurring during ingress and egress, may suggest a potential for relationship worthy of future study.Low‐low hospital beds are purported to help reduce the occurrence and severity of bed‐related falls, both serious problems in inpatient settings. This study describes null outcomes following an implementation of such beds, with implications for adoption in similar settings.We adhered to the relevant Enhancing the Quality and Transparency of Health Research guidelines, specifically following the Standards for Quality Improvement Reporting Excellence standards.No patient or public involvement in the design or conduct of the study. Nurses and medical staff were involved in intervention implementation, data collection and the conception, design and conduct of the study. [ABSTRACT FROM AUTHOR]

The literature lacks a rigorous psychometric evaluation of the Arabic version of Hospital Anxiety and Depression Scale (HADS) in hemodialysis (HD) patients. This study aims to evaluate reliability, determine the underlying factor structure of the Arabic version of HADS and assess its suitability as screening tool for depression and anxiety among Arabic HD patients. A sample of 370 HD patients were recruited from all health districts in Kuwait. Reliability for HADS (all items) and its subscales HADS-A (anxiety) and HADS-D (depression) were estimated using Cronbach's alpha and item analysis was conducted. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to extract and test the factor structure for the Arabic version of HADS. Eight models were tested using CFA to determine goodness-of-fit. The Cronbach α for the Arabic HADS (all items), HADS-A and HADS-D were 0.884, 0.852 and 0.764, respectively. Pearson correlation coefficient between HADS-A and HADS-D subscales indicated significant correlation (r = +0.69, PV < 0.001). EFA indicated two factors with eigenvalues >1, which accounted for 48.5% of the total variance. CFA revealed the one-factor model had the poorest fit, the two-factor models with acceptable fit, and three-factor models showed good fit. The Arabic HADS has good reliability and internal consistency, which warrants its use in screening for anxiety and depression among Arabic HD patients. Furthermore, the three-factor structure has shown a better fit which warrants further exploration in HD patients with the advancement in theory of psychological models for anxiety and depression. [ABSTRACT FROM AUTHOR]

This study aims to test the psychometric properties of the Violent Risk Scale (VRS) in a sample of Portuguese remand prisoners. A total of 133 subjects participated in the present study. We carried out a Confirmatory Factor Analysis (CFA) to test the originally proposed two factor structure. Results showed evidence to support the VRS's psychometric qualities. The CFA tested the two-factor structure and showed evidence of the goodness of fit of the original two-factor model. Also, our findings indicated acceptable internal consistency for both subscales. The correlational analyses supported both convergent and discriminant validity of the VRS. Finally, this study also tested known-groups validity. The VRS score showed a satisfactory postdictive accuracy, which means that it is able to demonstrate distinctive scores for groups known to vary on the variables being measured. We consider this work represents an essential support for decision-makers to evaluate the appropriateness of different judicial measures. [ABSTRACT FROM AUTHOR]

The effect of media illiteracy on adolescents' and youths' mental growth is underrated in most of the developing countries. Notwithstanding, media influences almost everything in today's life among adolescents and youths. Early sexual debut, time balance between academics and dating issues, and unrealistic expectations from partners continue to cause endless cries among dating adolescents and youths. This study explored the effect of media illiteracy among adolescents and youths on three behaviors; learning engagement in higher education, setting dating or couple goals, and sexual attitudes and behavior. From a total of 1037 (66.2% male and 33.8% female) valid questionnaire responses, the results indicated that adolescents and youths are major victims of media misinformation, obstructing them from accessing the factual truth about intimacy and sexuality. Media illiteracy negatively affects decisions about sexual intimacy and related behaviors. Adolescents' and youths' sexual permissiveness is prejudiced by lack of skills, knowledge, and understanding of how to decipher credible information from social media platforms. Conclusively, media literacy is essential to access and identify authentic information for different purposes, especially for decisions on sexuality and intimacy. Benefits are immense only if an accurate intellectual framework is cultivated to find, understand, evaluate and use information from various media platforms properly. [ABSTRACT FROM AUTHOR]

Turnover intention research with the addition of independent variables of work-life balance and work stress in nurses with health backgrounds is rarely found in type c public hospitals in Karawang city, where literature about this research needs to explain it. This research aims to ascertain how work-life balance, workplace stress, and work-family conflict affect nurses’ intentions to quit their jobs by using job satisfaction as a mediator. The sampling for this study was carried out using the probability sampling method known as proportionate stratified random sampling. A total of 550 nurses from 4 schools submitted responses. Work-life balance, workrelated stress, and job happiness all significantly influence the likelihood of turnover. The desire to increase orreduce hospital turnoveris significantly influenced by work-life balance, stress at work, and work-family conflict. This study has limitations that can lead to imperfect conclusions because the sample used is only the nurse division, so this study can only be generalized to some other districts. The variables studied still need to be reviewed to affect turnover intention by mediating job satisfaction. [ABSTRACT FROM AUTHOR]

Pressure ulcer is considered a common and costly problem in the care of patients. Prevention and management of pressure ulcer are very important due to the high cost of treatment and the adverse consequences of pressure ulcer. This study aimed to evaluate the effect of implementing “aSSKINg” model in reducing pressure ulcer risk. This study used a before- and afterintervention quasi-experimental design. This study was performed on 60 patients who were not randomly selected and assigned in to control and study group. The data collection tool was a 3-part sheet (Braden scale, skin health assessment, and Pressure ulcer assessment). The incidence of pressure ulcer was 19 (60.0%) in the control group versus 9 (30.0%) in the study group with statistical significant differences. The most common site of pressure ulcer was coccyx (6 [31.6%]) in the control group and Heel (3 [33.3%]) in the study group. The application of “aSSKINg” model in the patients with pressure ulcers is effective in reducing the incidence and severity of pressure ulcers. [ABSTRACT FROM AUTHOR]

Purpose: To investigate effectiveness of the ABCDEF bundle to manage and prevent delirium. Background: ICU delirium is a common hospital problem that 80% of critically ill patients in the ICU experience. The ABCDEF bundle is one of the tools that included in Delirium guidelines to manage critically ill patients. Research design: Pre- and post intervention a quasiexperimental design was utilized in the present study. Setting: This study was conducted in the intensive care units of Assiut University Hospital. Methods: A total of 60 mechanically ventilated patients were recruited using inclusion and exclusion criteria. The ABCDEF bundle was implemented every day for the first 7 days of ICU admission, and patient sedation and delirium status were assessed using the Confusion Assessment Method for the Intensive Care Unit (CAMICU). Sedation instrument measures were utilized in data collection. Results: Significant differences were found in the incidence of delirium: 20% in the study group versus 70% in the control group. The increased mean of days without delirium ICU stay was 4.6333 in the study group and 1.1000 in the control group, with P value = .001. Conclusion: The mechanically ventilated patients exposed to the implementation of the ABCDE bundle experienced fewer delirium signs than before the ABCDE bundle was implemented. [ABSTRACT FROM AUTHOR]

We introduce a novel procedure to assess the goodness of fit in relational event models. Building on existing auxiliary variable approaches developed in network modelling, the procedure involves a comparison between statistics computed on observed relational event sequences and statistics calculated on event sequences simulated from the fitted model. We argue that the internal time structure of the relational mechanisms assumed to generate the observations under the model is an important aspect of the fit of a model to observed relational event sequences. We establish the empirical value of the proposed goodness of fit approach in an analysis of data that we collected on collaborative patient-referral relations among healthcare organizations. The illustrative case study that we develop reveals distinctive features of relational event models that have been ignored or overlooked in received empirical studies. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to determine the psychometric properties of the Spanish-language version of the HIV-Symptom Index (HIV-SI) questionnaire in Spanish patients undergoing antiretroviral therapy. Methods: Between 2014 and 2016, an observational, multicenter, prospective cohort study was conducted in seventeen Spanish hospitals to validate HIV-SI questionnaire in terms of: construct validity (confirmatory factor analysis), internal consistency (Cronbach's alpha), convergent validity (Pearson's correlation coefficient) and Known-group validity. In addition, a sensitivity to change analysis was also performed. Results: A total of 232 patients were included in the study. They had a mean age of 46.17 (SD9.82) and were 75% male. The median overall score for the HIV-SI was 10 (IQR 4– 19.5) and the most common symptoms reported were feelings of nervousness or anxiety, fatigue or energy loss, feeling sad or depressed, stomach pain or bloating, and difficulty sleeping. In the current study, the Spanish HIV-SI questionnaire showed a high internal consistency (α = 0.89) and adequate construct validity (CFI and TLI > 0.90). When contrasted with the MOS-HIV questionnaire, an inverse correlation was found. It showed a good association with the mental (r=-0.61; P < 0.0001) and physical score (r=-0.60; P < 0.0001). In a multivariate analysis, the age of the patient, female condition, hepatitis C coinfection, concomitant treatment and non-adherence resulted in a higher HIV-SI score. Conclusions: Our study has shown that the Spanish HIV-SI is a valid and reliable self-administered PROM for routine measurement of patient- reported symptoms among Spanish patients on antiretroviral treatment. [ABSTRACT FROM AUTHOR]

Bentonite is an essential binder in the iron ore pelletization process. However, limited research has been conducted on the correlation between the physical and chemical properties of bentonite and its pelletizing performances, while the evaluation criteria for pelletizing bentonite have not been standardized. To optimize the current evaluation methods, this study tested the physical and chemical properties of five representative bentonites, as well as their green balling performance after pelletizing. Additionally, a multiple regression model was constructed using R. Stepwise regression and relative weight analysis were used to optimize and evaluate the indicators of bentonite. The results showed that the raw ball performance was mainly affected by water absorption (WA), swelling index (SI), and swelling capacity (SC). The dry ball performance was mainly affected more by methylene blue index (MBI) and cation exchange capacity (CEC). The following stepwise regression analysis revealed that WA, CEC, and SC were significant predictors for green ball drop strength; WA and SI for green ball compressive strength; and WA, MBI, and SC for dry ball compressive strength. The multiple regression model developed in this study exhibits high goodness of fit and accuracy, making it a valuable way for assessing the impact of different quality bentonites on pelletizing performance as well as optimizing the evaluation methodology of bentonite's performance in iron ore pelletization. [ABSTRACT FROM AUTHOR]

AbstractA wide variety of location and scale estimators have been developed for light-tailed distributions. Despite indisputable importance in business, finance, cybersecurity, etc., statistical estimation and inference in the presence of heavy tails have received less attention in the literature. We adopt the Kernel-Weighted Average (KWA) approach to location and scale estimation and present a set of extensive comparisons with five prominent competitors. Unlike nonparametric kernel density estimation, the optimally tuned bandwidth for KWA estimators does not necessarily converge to zero as sample size grows. We also perform a large-scale Monte Carlo simulation to search for the optimal bandwidth that minimizes the mean squared error (MSE) of KWA location and scale estimators with simulated samples from Student’s t-distribution with degrees of freedom (df) 1,2,…,30. We further develop an adaptive technique to estimate the df that best match the observed samples using Cramér-von Mises test of goodness-of-fit. Unlike many existing methodologies, our approach is data-driven and exhibits excellent statistical performance. To illustrate this, we apply it to three real-world financial datasets containing daily closing prices of AMC Entertainment (AMC), GameStop (GME) and Meta Platforms (META) stocks to calibrate a geometric random walk model with Student’s t log-increments. [ABSTRACT FROM AUTHOR]

We present a study of high-cadence, high-precision optical light curves from the TESS satellite of 67 blazars in the southern sky. We provide descriptive flux statistics, power spectral density (PSD) model parameters, and characteristic variability timescales. We find that only 15 BL Lacertae objects (BLLs) and 18 flat spectrum radio quasars (FSRQs) from the initial 26 and 41, respectively, exhibit statistically significant variability. We employ an adapted power spectral response method to test the goodness of fit for the PSD function to three power-law variant models. From our best-fitting description of the PSD, we extract the high-frequency power-spectral slopes, and if present, determine the significant bend or break in the model to identify characteristic timescales. We find no significant difference in the excess variance or rms scatter between blazar subpopulations. We identify a linear rms–flux relation in ∼69% of our sample, in which ∼20% show a strong correlation. We find that both subpopulations of blazars show power spectral slopes of α ∼ 2 in which a broken power-law best fits five BLLs and six FSRQs and a bending power-law best fits one BLL and five FSRQs. The shortest timescales of variability in each light-curve range widely from minutes to weeks. Additionally, these objects' characteristic timescales range from ∼0.8 to 8 days, consistent with optical variability originating in the jet. [ABSTRACT FROM AUTHOR]

The study's objective was to design and validate a motivation scale for scientific publication in Peruvian university professors (MoSCPU-UP). Instrumental research where a scale of 13 items distributed in 2 factors (Intentional State and Commitment-will) was designed and validated. The sample comprised 546 university professors (62.1% male) aged 22 to 67 (M = 45.05 and DS = 9.32). The sample was separated into two subgroups for the exploratory and confirmatory factor analysis. For analyzing the validity of evidence based on the content, the Aiken V coefficient was used; for construct validity, exploratory and confirmatory factor analysis was used. Reliability was studied through Cronbach's alpha coefficient. The results show that the items received a favorable evaluation (Aiken's V > 0.70). Goodness of fit indices were adequate (IFC = 0.93, TLI = 0.92, and RMSEA = 0.08). Likewise, the correlation between factors 1 and 2 was significant (p < 0.05). Evidence of validity based on the relationship with other variables with measures of professional self-efficacy is significant and acceptable reliability (α = 0.91; 95% CI = 0.89--0.92). In conclusion, the MoSCPU-UP scale is an instrument that reports evidence of validity and reliability. [ABSTRACT FROM AUTHOR]

Precision daptomycin dosing faces clinical implementation barriers despite known exposure-safety concerns with the use of twice the regulatory-approved doses. We propose achieving a single 7–11-hour post-dose plasma target concentration of 30 mg/L to 43 mg/L to be a practical starting point to facilitate precision daptomycin dosing. [ABSTRACT FROM AUTHOR]

On-orbit absolute radiometric calibration is not only a prerequisite for the quantitative application of optical remote sensing satellite data but also a key step in ensuring the accuracy and reliability of satellite observation data. Due to the diversity of imaging conditions for optical remote sensing satellite sensors, on-orbit absolute radiometric calibration usually requires a large number of imaging tasks and manual labor to calibrate each imaging condition. This seriously limits the timeliness of on-orbit absolute radiometric calibration and is also an urgent problem to be solved in the context of the explosive growth of satellite numbers. Based on this, we propose a general on-orbit absolute radiometric calibration method compatible with multiple imaging conditions. Firstly, we use a large amount of laboratory radiometric calibration data to explore the mathematical relationship between imaging conditions (row transfer time, integration level and gain), radiance, and DN, and successfully build an imaging condition compatibility model. Secondly, we combine the imaging condition compatibility model with cross calibration to achieve a general on-orbit absolute radiometric calibration method. We use cross calibration to obtain the reference radiance and corresponding DN of the target satellites, which calculates the general coefficient by using row transfer time, integration level, and gain, and use the general coefficient to calibrate all imaging conditions. Finally, we use multiple imaging tasks of the JL1GF03D11 satellites to verify the effectiveness of the proposed method. The experiments show that the average relative difference was reduced to 2.79% and the RMSE was reduced to 1.51, compared with the laboratory radiometric calibration method. In addition, we also verify the generality of the proposed method by using 10 satellites of the Jilin-1 GF03D series. The experiment shows that the goodness of fit of the general coefficient is all greater than 95%, and the average relative difference between the reference radiance and the calibrated radiance of the proposed method is 2.46%, with an RMSE of 1.67. To sum up, by using the proposed method, all imaging conditions of optical remote sensing satellite sensor can be calibrated in one imaging task, which greatly improves the timeliness and accuracy of on-orbit absolute radiometric calibration. [ABSTRACT FROM AUTHOR]

Solar-induced chlorophyll fluorescence (SIF) is highly correlated with photosynthesis and can be used for estimating gross primary productivity (GPP) and monitoring vegetation stress. The far-red band of the solar Fraunhofer lines (FLs) is close to the strongest SIF emission peak and is unaffected by chlorophyll absorption, making it suitable for SIF intensity retrieval. In this study, we propose a retrieval window for far-red SIF, significantly enhancing the sensitivity of data-driven methods to SIF signals near 757 nm. This window introduces a weak O2 absorption band based on the FLs window, allowing for better separation of SIF signals from satellite spectra by altering the shape of specific singular vectors. Additionally, a frequency shift correction algorithm based on standard non-shifted reference spectra is proposed to discuss and eliminate the influence of the Doppler effect. SIF intensity retrieval was achieved using data from the GOSAT satellite, and the retrieved SIF was validated using GPP, enhanced vegetation index (EVI) from the MODIS platform, and published GOSAT SIF products. The validation results indicate that the SIF products provided in this study exhibit higher fitting goodness with GPP and EVI at high spatiotemporal resolutions, with improvements ranging from 55% to 129%. At low spatiotemporal resolutions, the SIF product provided in this study shows higher consistency with EVI and GPP spatially. [ABSTRACT FROM AUTHOR]

Background: The Parental Stress Scale (PSS) is a well-known tool widely used for assessing parenting stress. However, there is a lack of an Arabic-validated version. This study aimed to validate the PSS in Arabic for use with Lebanese individuals, specifically among parents in Lebanon. Methods: A cross-sectional study including 589 parents in Lebanon were performed between May and July 2023, using random sampling of parents from the five Lebanese governorates. The PSS was translated into Arabic and administered using an online survey. The study collected the sociodemographic data of the participants and incorporated supplementary measures such as the Pediatric Symptom Checklist and the InCharge Financial Distress/Financial Well-Being scale. Exploratory and confirmatory factor analyses were conducted to assess construct validity. Reliability was examined using Cronbach's alpha. Convergent validity was tested through Pearson correlations with the Pediatric Symptom Checklist and financial well-being. Results: One item of the PSS items was removed. The factor analysis of the PSS scale showed three factors that had an Eigenvalue over 1, showing that the items converged over a three-factor solution, explaining a total of 64.83% of the variance. The Cronbach's alpha values were 0.838, suggesting a good internal consistency. The CFI was 0.895 and TLI was 0.877. A significantly positive correlation was found between the PSS scale and the Pediatric symptom checklist. No correlation was found between the financial well-being scale and the PSS scale. Conclusion: The PSS scale showed appropriate psychometric properties, with high internal consistency, good construct validity, and adequate concurrent validity, which makes it a short, valid, and efficient tool, valuable for the evaluation of the Parental Stress Scale among parents in Lebanon. [ABSTRACT FROM AUTHOR]

Background: High turnover rates and burnout are prevalent issues among registered nurses in public hospitals in Hong Kong. Pay level satisfaction is one of the crucial factors influencing organisational and professional turnover intention. Understanding whether pay level satisfaction can mitigate the negative impact of burnout on turnover intention can provide insights into the role of financial rewards in employee retention. Objective: This study aims to evaluate the relationship between job demands and turnover intention among registered nurses in Hong Kong public hospitals. Additionally, it seeks to examine the mediating role of burnout and explore the potential moderating effect of pay level satisfaction on the relationship between burnout and turnover intention. Methods: The study was a cross‐sectional online survey of public hospital staff in Hong Kong. A total of 502 registered nurses who had worked at their employing facility for at least 6 months participated in this cross‐sectional survey. Study variables included work overload, job stress, work–family conflict, family–work conflict, conflict with other nurses, burnout, pay level satisfaction and turnover intention. The collected data were analysed using bivariate Pearson correlation analysis and mediated moderation analysis with the PROCESS macro in SPSS 28.0. Results: Burnout mediated the relationship between job demands, including work overload, job stress, work–family conflict, family–work conflict and conflicts with nurses, and organisational and professional turnover intention. Pay level satisfaction did not exert a moderating influence on the relationship between job demands and turnover intention through burnout mediating this relationship. Conclusions: The importance of addressing job stress and burnout to mitigate turnover intention and promote nurse retention is underscored. Contrary to expectations, pay level satisfaction did not buffer the negative impact of job demands on turnover intentions via burnout. This suggests that compensation alone may not be sufficient to offset the detrimental effects of high job demands and burnout on nurses' intention to leave their jobs or the profession. Further research is warranted to explore potential moderators that may influence the relationship between job demands and turnover intention. [ABSTRACT FROM AUTHOR]

In this article, the primary aim is to introduce a new flexible family of circular distributions, namely the wrapped Linnik family which possesses the flexibility to model the inflection points and tail behavior often better than the existing popular flexible symmetric unimodal circular models. The second objective of this article is to obtain a simple and efficient estimator of the index parameter α of symmetric Linnik distribution exploiting the fact that it is preserved in the wrapped Linnik family. This is an interesting problem for highly volatile financial data as has been studied by several authors. Our final aim is to analytically derive the asymptotic distribution of our estimator, not available for other estimator. This estimator is shown to outperform the existing estimator over the range of the parameter for all sample sizes. The proposed wrapped Linnik distribution is applied to some real-life data. A measure of goodness of fit proposed in one of the authors' previous works is used for the above family of distributions. The wrapped Linnik family was found to be preferable as it gave better fit to those data sets rather than the popular von-Mises distribution or the wrapped stable family of distributions. [ABSTRACT FROM AUTHOR]

This study investigated how equipment and sex affect the prediction accuracy of the maximum number of repetitions performed to failure (RTF) using the fastest mean velocity of the set (MVfastest). Sixteen men and twelve women completed four sessions (two using free-weight equipment and two sessions using the Smith machine). Each session involved three sets of repetitions to failure against the 65%, 75%, and 85% of the one-repetition maximum, interspersed by 10-min of rest. The goodness-of-fit of the individualized RTF-MVfastest relationships was comparable between both equipment types and sexes (P ≥0.510). Moreover, there were not significant differences in the MVfastest associated with RTF between equipment types (P ≥0.258). However, the MVfastest associated with RTF was higher for men than for women in repetitions 6 to 15 (P ≤0.043; ES≥0.69). In addition, the absolute errors when predicting RTF showed no significant differences between equipment types and loads (P <0.444). Specifically, these RTF estimates were within an acceptable range for men (<2 repetitions), but not for women (≥2 repetitions) (main effect of sex: P ≤0.018; ES≥0.58). These findings suggest that individualized RTF-MVfastest equations estimate the RTF with an acceptable precision in men during bench press exercises in both equipment types but exhibit lower precision for women. [ABSTRACT FROM AUTHOR]

The development of reduced-order models has been a pivotal advancement in the computational analysis of fluid dynamics, substantially simplifying the complexity and boosting the efficiency of simulations. The accuracy and practicality of these models largely depend on the reduction techniques applied and the inherent characteristics of the fluid dynamics systems they represent. In this paper, we introduce an innovative machine-learning framework for assessing model uncertainty in computationally intensive reduced-order models. By combining subspace construction methods with advanced Bayesian inference techniques, our approach effectively captures the posterior distribution of model parameters, thereby providing an accurate representation of uncertainty in aerodynamic performance predictions. We employ the NACA0012 airfoil as a case study to validate our method's ability to enhance the efficiency of reduced-order models and precisely measure the uncertainty inherent in predictions made by recurrent neural networks. It is important to note that our approach is influenced by specific constraints and variables that significantly impact the mean and variability of the predicted final lift coefficient distribution. Our findings indicate that setting the goodness of fit (R2) threshold above 0.985 markedly improves the correlation between Computational Fluid Dynamics (CFD) outcomes and model predictions, increasing from 72.2% to 97.9% as the interval amplification factor adjusts from 1.5 to 3. However, this adjustment causes a considerable expansion of the confidence interval, from 0.0737 to 0.1282, an increase of over 70%. Despite these challenges, our machine learning-based methodology provides essential insights into the further development of reduced-order modeling and uncertainty quantification in fluid dynamics. This highlights the need for ongoing research into the model parameters, especially in applications concerning aircraft control systems, to meet design specifications and ensure system reliability. [ABSTRACT FROM AUTHOR]

The standardized precipitation index (SPI) and the standardized runoff index (SRI) are widely used in drought monitoring. In the calculation of these indices, the time scale and distribution functions are especially significant. In the current study, the uncertainty in the estimation of the two indices, in terms of time scale and distribution functions, was investigated in the wadi Mina basin (Algeria) using monthly precipitation and runoff values based on the gamma-II (GAM-II), extreme value-III (EVD-III), Pierson-III (PEI-III) and Weibull-II (WEI-II) distribution functions. With this aim, precipitation and runoff amounts were calculated considering 12- and a 24-month time scales; then, using the bootstrap method, 1000 random sample were generated for each precipitation and runoff event and for each time scale, and the confidence interval of the two indices was calculated at around 95%. The size of the confidence interval was considered as uncertainty and the error rate between the estimated and observed data was calculated. The results showed that all the considered distributions fit the time series acceptably, and that the time scale of the data is not significantly correlated with the goodness of fit. Moreover, there is no apparent relationship between the rejection cases and the scale and position of the regional stations or the investigated variables. The lack of significant differences between the observed and estimated time series for a specific distribution caused the averages estimated in SPI to fall within the same descriptive class. Based on the results, WEI-II and EVD-III showed the lowest estimation error and uncertainty in meteorological and hydrological drought, respectively, at both 12- and 24-month time scales, thus suggesting the use of these two functions for drought monitoring at medium-term and long-term time scales. [ABSTRACT FROM AUTHOR]

AbstractThis paper aims to simulate conditional samples for generalized linear models and to show their use in goodness of fit. The particular case of the natural exponential family with quadratic variance function and categorical covariates is studied. The conditional samples are drawn from the conditional distribution having conditioned on a sufficient statistic. A procedure that uses the Rao-Blackwell estimate for the cumulative distribution function is employed. The performance of the proposed procedure is shown through a simulation study and the analysis of a data set. [ABSTRACT FROM AUTHOR]

Background: Dengue outbreaks are common in tropical or temperate countries, and climate change can exacerbate the problem by creating conditions conducive to the spread of mosquitoes and prolonging the transmission season. Warmer temperatures can allow mosquitoes to mature faster and increase their ability to spread disease. Additionally, changes in rainfall patterns can create more standing water, providing a breeding ground for mosquitoes. Objective: The objective of this study is to investigate the correlation between environmental and demographic factors and the dissemination of dengue fever. The study will use yearly data from 2000 to 2021 from 11 countries highly affected by dengue, considering multiple factors such as dengue cases, temperatures, precipitation, and population to better understand the impact of these variables on dengue transmission. Methods: In this research, Poisson regression (PR) and negative binomial regression (NBR) models are used to model count data and estimate the effect of different predictor variables on the outcome. Also, histogram plots and pairwise correlation plots are used to provide an initial overview of the distribution and relationship between the variables. Moreover, Goodness-of-fit tests, t-test analysis, diagnostic plots, influence plots, and residual vs. leverage plots are used to check the assumptions and validity of the models and identify any outliers or influential observations that may be affecting the results. Results: The findings indicate that mean temperature and log(Urban) had a positive impact on dengue infection rates, while maximum temperature, log(Precipitation), and population density had a negative impact. However, minimum temperature, log(Rural), and log(Total population) did not demonstrate any significant effects on the incidence of dengue. Conclusion: The impact of demographic-environmental factors on dengue outbreaks in 11 Asian countries is illuminated by this study. The results highlight the significance of mean temperature (Tmean), maximum temperature (Tmax), log(Urban), log(Precipitation), and population density in influencing dengue incidence rates. However, further research is needed to gain a better understanding of the role of additional variables, such as immunity levels, awareness, and vector control measures, in the spread of dengue. [ABSTRACT FROM AUTHOR]

Background: The leadership practices of nurse managers significantly impact the creativity of staff nurses; however, the effects of ambidextrous leadership on nurses' creativity are not yet clear. Additionally, the underlying mechanism of this relationship remains to be identified. Aim: The study aimed to examine the effect of ambidextrous leadership on nurses' creativity, directly and indirectly through psychological safety. Methods: In this cross-sectional study, data were collected from October 2023 to January 2024 involving 241 nurses working at three hospitals in Port Said, Egypt. The Ambidextrous Leadership Scale, Psychological Safety Scale, and the Individual Creativity Scale were employed. Descriptive analysis, correlation analysis, and structural equation modeling were conducted. Results: Nurse managers' ambidextrous leadership was positively associated with nurses' creativity. Psychological safety fully mediated the association between ambidextrous leadership and nurses' creativity. Conclusion: The study suggests that enhancing the ambidexterity of nurse leaders can foster a sense of psychological safety, which, in effect, contributes to increased creativity among nurses. Implication for nursing policymaking: There is a need for healthcare policies and strategies that are supportive of the implementation of ambidextrous leadership practices and promote psychological safety among nurses. [ABSTRACT FROM AUTHOR]

Background: Inadequate water supply, poor sanitation and hygiene (WASH) facilities in schools, insufficient puberty education and a lack of hygienic menstrual hygiene management (MHM) items (absorbents) cause girls in developing countries like Ethiopia to view menstruation as shameful and uncomfortable. However, there was little evidence of female MHM practice and associated factors among secondary school girls in eastern Ethiopia. Objective: To assess MHM practice and associated factors among secondary school girls in eastern Ethiopia. Design: Institutional-based cross-sectional study design was conducted. Methods: A total of 473 secondary schoolgirls were selected using a stratified sampling technique. Data were collected using a self-administered structured questionnaire, double-entered to Epidata version 3.1 and exported to SPSS version 26 for analysis. Descriptive analysis was computed using frequency, percentage, mean and standard deviations. Multivariable logistic regression was applied to assess the association of the school water, sanitation and hygiene facilities with MHM. Adjusted odd ratio (AOR) with its 95% confidence interval was computed to show the strength of the association between dependent and independent variables. The goodness of fit of the model was tested by the Hosmer–Lemeshow goodness of fit test. Results: Out of 473 study participants, 72.93% of them (95% CI: 68.74–76.76) reported good MHM practices. The study also found that availability of continuous water supply (AOR = 2.40, 95% CI: (1.42–4.01)); types of toilet (AOR = 2.01, 95% CI: (1.20–3.40)), confined space (AOR = 3.02, 95% CI: (1.49–4.76)) and having females' toilets alone inside in the school (AOR = 2.70, 95% CI: (1.20–4.40)) were significantly associated with female students' good MHM practice. Conclusion: The survey revealed that some of the secondary schoolgirls practiced poor menstrual hygiene management (MHM), which needs further improvement. The study also found that the availability of continuous water supply in the school, types of toilet facility in the school, availability of private space to manage periods at school, learning about MHM in schools and availability of female toilets kept locked inside were factors significantly associated with MHM practice of students, which require integration of Zonal Health and education bureau to jointly work towards the improvement of school WASH facilities. [ABSTRACT FROM AUTHOR]

Process capability analysis is a valuable tool in quality assurance, but deviations from normal distribution necessitate adjustments to basic process capability indices. Process control literature offers solutions for non-normality, with data transformation being a common approach. The Box-Cox transformation (BCT) is often used to normalize non-normal data, relying on maximum likelihood estimation (MLE) to determine the transformation parameter, lambda. Alternative methods exist for estimating the single transformation parameter lamda, employing goodness-of-fit tests instead of the MLE method. This study explores two expressions within the Box-Cox transformation (BCT), encompassing both optimal and rounded values of lambda. The primary goal is to identify an effective method for transforming non-normal data into a distribution closer to normality through goodness-of-fit tests, aiming to obtain accurate estimates for process capability analysis in alignment with six sigma standards. Furthermore, this study focuses on the influence of utilizing both optimal and rounded values of lambda when transforming non-normal data to normal, and how these lambda values impact the estimates of process capability analysis. The findings reveal that methods such as Shapiro-Wilk's (SW) and Artificial Covariate (AC) outperform the MLE method. Moreover, employing the optimal lambda value during data transformation leads to improved estimates of process capability. Data simulation and analysis were conducted using Minitab software and the R programming language. [ABSTRACT FROM AUTHOR]

Background: Dynamic chest radiography (DCR) is a recently developed functional x‐ray imaging technique that detects pulmonary ventilation impairment as a decrease in changes in lung density during respiration. However, the diagnostic performance of DCR is uncertain owing to an insufficient number of clinical cases. One solution is virtual imaging trials (VITs), which is an emerging alternative method for efficiently evaluating medical imaging technology via computer simulation techniques. Purpose: This study aimed to estimate the typical threshold thickness of residual normal tissue below which the presence of emphysema may be detected by DCR via VITs using virtual patients with different physiques and a user‐defined ground truth. Methods: Twenty extended cardiac‐torso (XCAT) phantoms that exhibited changes in lung density during respiration were generated to simulate virtual patients. To simulate a locally collapsed lung, an air sphere was inserted into each lung regions in the phantom. The XCAT phantom was virtually projected using an x‐ray simulator. The respiratory changes in pixel value (ΔPV) were measured on the projected air spheres (simulated lesions) to calculate the percentage of decrease (ΔPV%) relative to ΔPVexp‐ins in the absence of an air sphere. The relationship between the amount of residual normal tissue and ΔPV% was fitted to a cubic approximation curve (hereafter, performance curve), and the threshold at which the ΔPV% began to decrease (normal‐tissuethre) was determined. The goodness of fit for each performance curve was evaluated according to the coefficient of determination (R2) and the 95% confidence interval derived from the standard errors between the measured and theoretical values corresponding to each performance curve. The ΔPV% was also visualized as a color scaling to validate the results of the VITs in both virtual and clinical patients. Results: For each lung region in all body sizes, the ΔPV% decreased as the amount of residual normal tissue decreased and could be defined as a function of the amount of residual normal tissue in front of and behind the simulated lesions with high R2 values. Meanwhile, the difference between the measured and theoretical values corresponding to each performance curve was only partially included in the 95% confidence interval. The normal‐tissuethre values were 146.0, 179.5, and 170.9 mm for the upper, middle, and lower lungs, respectively, which were demonstrated in virtual patients and one real patient, where the value of the residual normal tissue was less than that of normal‐tissuethre; any reduction in the residual normal tissue was reflected as a reduced ΔPV and depicted as a reduced color intensity. Conclusions: The performance of DCR‐based pulmonary impairment assessment depends on the amount of residual normal tissue in front of and behind the lesion rather than on the lesion size. The performance curve can be defined as a function of the amount of residual normal tissue in each lung region with a specific threshold of normal tissue remaining where lesions become detectable, shown as a decrease in ΔPV. The results of VITs are expected to accelerate future clinical trials for DCR‐based pulmonary function assessment. [ABSTRACT FROM AUTHOR]

There is emerging evidence that bilingualism is advantageous to children with speech, language and communication needs (SLCN), reflected in recommendations to promote maintenance of the home language. However, little is known about Speech and Language Therapists (SLTs)' opinions on bilingualism and practices with bilingual families. To survey the opinions and practices of SLTs on this topic, a questionnaire was developed and delivered as an anonymous web-based survey. We recruited SLTs from Singapore, where bilingualism is the norm amongst the general population and enshrined in government policies, and the UK, where bilingualism is less prevalent and not embedded in government policy. Questions probed SLTs' opinions, advice given to parents/carers, personal and professional experience of bilingualism, and knowledge of and opinions on official guidelines from the Royal College of Speech and Language Therapy (RCSLT). The survey revealed variability in opinions and practices of SLTs working with bilingual families. Amongst the UK-based respondents, the RCSLT bilingualism guidance was generally perceived positively, however, many were unfamiliar with its content, or found barriers to its implementation. Most SLTs reported recommending bilingualism to families of children with SLCN and suggesting that parents/carers speak in all languages they are proficient in, but a minority reported views and practice based on outdated assumptions: practitioners who believed bilingualism can cause or contribute to SLCN were less likely to recommend that parents/carers speak languages they are proficient in. These findings can help identify areas to target within training and continuing professional development to increase evidence-based advice given to bilingual families. [ABSTRACT FROM AUTHOR]

Background/Objectives: Atopic dermatitis (AD) is a common chronic skin disease in the pediatric population; however, rates of admissions for flares in patients established with dermatology compared to those that are not established have not been fully assessed in prior studies. Methods: We reviewed electronic medical records of patients hospitalized (billing codes 99221–99223, 99217) with diagnoses encompassing AD, eczema, and dermatitis (ICD‐10 codes L20.8‐L20.9, L30.8‐L30.9) between January 1, 2011, and December 31, 2021, at University Hospitals (UH) in Cleveland, Ohio. Patients were considered established with dermatology if they had been seen by a dermatology provider within 6 months prior to admission. Statistical analysis was performed using chi‐square goodness of fit. Results: A total of 95 patient encounters met criteria for inclusion. Fifteen (15.8%) patients were established with dermatology at the time of admission and 80 (84.2%) were not. The chi‐square value (x2 = 44.74) was greater than the critical value of 10.828 at one degree of freedom (p <.001). There were 8 patients who had more than one admission for atopic dermatitis flares; 2 of these patients were established with dermatology prior to their first admission, and 4 were established at the time of the second admission. Conclusion: The majority of patients admitted with AD flare were not established with dermatology. Many of these patients lived in a low socioeconomic area and missed follow‐up appointments. Increasing access to dermatologic care for patients with atopic dermatitis, especially in lower‐income areas, could aid in decreasing atopic dermatitis‐related hospitalizations. [ABSTRACT FROM AUTHOR]

Self-construal, defined as the way by which individuals define themselves, is classified into two types: independent self-construal, emphasizing autonomy and uniqueness, and interdependent self-construal, emphasizing connections with others. Largely investigated in cross-cultural contexts, self-construal has been found to be associated with social anxiety symptoms. While Singelis's original Self-Construal Scale (SCS) has been widely used to measure self-construal, extant literature has suggested that the SCS lacks validity evidence, prompting the development of a 10-item with enhanced psychometric properties. This study validated the 10-item SCS in a Korean sample by examining the factor structure, measurement invariance across Korean and U.S. samples, and associations with social anxiety variables. A total of 320 Korean adults and 361 European American adults participated in an online questionnaire. The 10-item SCS exhibited a more stable factor structure than the other versions and held measurement invariance across groups. Lastly, significant associations were found between the SCS and social anxiety variables. [ABSTRACT FROM AUTHOR]

This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemented in particular in the popular intercept-and-slope model as well as in more general models containing it as a component, such as longitudinal structural models with covariates, or models for the study of predictors and correlates of change. In empirical research applications, currently behavioral and social scientists typically evaluate only overall goodness of fit for a considered model. However, this omnibus fit assessment may miss violations of the underlying linearity assumption. To respond to this limitation, the present article discusses a testing procedure for examining the hypothesis of linear growth or decline separately from the widely used overall fit evaluation process. The method is readily utilized with popular latent variable modeling software and is illustrated using a numerical example. [ABSTRACT FROM AUTHOR]

This article develops a concept of nonparametric likelihood for network data based on network moments, and proposes general inference methods by adapting the theory of jackknife empirical likelihood. Our methodology can be used not only to conduct inference on population network moments and parameters in network formation models, but also to implement goodness-of-fit testing, such as testing block size for stochastic block models. Theoretically we show that the jackknife empirical likelihood statistic for acyclic or cyclic subgraph moments loses its asymptotic pivotalness in severely or moderately sparse cases, respectively, and develop a modified statistic to recover pivotalness in such cases. The main advantage of our modified jackknife empirical likelihood method is its validity under weaker sparsity conditions than existing methods although it is computationally more demanding than the unmodified version. for this article are available online. [ABSTRACT FROM AUTHOR]