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Context: Ankle sprains are a common injury in sports, for which use of external ankle support during rehabilitation has been suggested to improve clinical outcomes. Design: Cohort study. Methods: Thirteen soccer players experiencing acute lateral ankle sprain injury were provided a novel adaptive ankle brace or conventional ankle taping (control) as external ankle support throughout the injury rehabilitation process. All other clinical procedures were identical, and rehabilitation was supervised by the same team staff member. Time from injury to clearance to return to sport was tracked. Player experience with the ankle brace also was queried via electronic surveys. Results: The median time to return to sport was less for the Brace group (52.5 d) compared to the Control group (79.5 d), but the distributions of the 2 groups were not found to differ significantly (P =.109). Player surveys indicated they felt the brace to be comfortable or very comfortable, with better freedom of movement than other braces and the same freedom of movement as wearing no brace. All players reported wearing the brace to be the same or better experience as ankle taping. Discussion: These preliminary results indicate that the adaptive ankle brace is at least as effective as ankle taping for providing external support during the rehabilitation phase following acute lateral ankle sprain and suggest it may be a more effective ankle support solution in terms of patient compliance than conventional bracing or taping. [ABSTRACT FROM AUTHOR]

An editorial is presented in which the authors emphasize the importance of integrating theory, methods, and data to enhance management research. They critique the overreliance on null hypothesis significance testing (NHST) and suggest using Bayesian techniques, observed power, and longitudinal data to improve causal inference and theoretical development. The editorial also advocates for employing computational models and latent mixture models to better handle theoretical precision and heterogeneity, and it encourages exploring diverse approaches to strengthen research outcomes.

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and the biomedical and social sciences more broadly. Despite its default role, NHST has long been criticized by both statisticians and applied researchers, including those within marketing. Therefore, the authors propose a major transition in statistical analysis and reporting. Specifically, they propose moving beyond binary: abandoning NHST as the default approach to statistical analysis and reporting. To facilitate this, they briefly review some of the principal problems associated with NHST. They next discuss some principles that they believe should underlie statistical analysis and reporting. They then use these principles to motivate some guidelines for statistical analysis and reporting. They next provide some examples that illustrate statistical analysis and reporting that adheres to their principles and guidelines. They conclude with a brief discussion. [ABSTRACT FROM AUTHOR]

Astragalus membranaceus is a traditional Chinese medicine with multiple pharmacological activities. Modern pharmacological research has found that Astragalus membranaceus extract has an inhibitory effect on α-glucosidase, however, which component can inhibit the activity of α-glucosidase and its degree of inhibition are unknown. To address this issue, this study used affinity ultrafiltration screening combined with UPLC-ESI-Orbitrap-MS technology to screen α-glucosidase inhibitors in Astragalus membranaceus. Using affinity ultrafiltration technology, we obtained the active components, and using UPLC-ESI-Orbitrap-MS technology, we quickly analyzed and identified them. As a result, a total of 8 ingredients were selected as α-glucosidase inhibitors. [ABSTRACT FROM AUTHOR]

In recent years, there has been an upsurge of interest in the use of computer technologies for L2 writing instruction. Many researchers have empirically investigated the effects of the applications of educational technologies on language learners' writing performance and have highlighted the effectiveness of the use of educational technology in writing classes (Howell et al., 2021; Lan et al., 2019; Rahimi & Fathi, 2021). The aim of the present meta-analysis was threefold: (1) to examine the overall effectiveness of the applications of educational technology on English as a Second/Foreign Language (EFL/ESL) writing performance, (2) to investigate the substantive factors leading to between-study variation, and (3) to provide a genre-specific technology analysis. Sixty-four studies meeting the inclusion criteria were synthesized in this review. The results revealed that the applications of technology produce a large positive effect (g = 1.00) on EFL/ESL learners' writing performance. Moderator analyses, which were conducted with some study features, also led to the identification of two statistically significant moderator variables, i.e., genre of writing and type of technology. The results of meta-regression showed that there is a significant relationship between type of technology, genre of writing, and the overall effect size of the applications of educational technology. Pedagogical implications are discussed, and the future prospects for the use of technology-enhanced language learning (TELL) in the area of ESL/EFL writing instruction are presented. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) risk factors for hospitalization and mortality have been reported to be older age, comorbidities, and vaccination status. However, its clinical course and the risk of hospitalization and mortality in patients who received home health care for their predisposing status and diseases remain unclear. This study aimed to determine the characteristics and outcomes of these patients after being infected with the Omicron variant of COVID-19. This retrospective study included 33 patients diagnosed with COVID-19 after we initiated home health care. We classified the patients into 2 groups, that is, hospitalization (n = 7) and non-hospitalization (n = 26), and non-survival (n = 6) and survival (n = 27) and compared their backgrounds. COVID-19 severity was an affecting factor in hospitalization and survival. The nursing care environments and low daily life activities also affected hospitalization but not survival. The proportion of patients with terminal malignancies (50.0% vs 3.7%, p =.017) and the Charlson Comorbidity Index (5.0 vs 2.0, p =.096) were higher in the non-survival than in the survival group. Some patients had urinary tract infections and persistent weight and appetite loss (post COVID-19 syndrome), regardless of this improvement. Serum IL-6 levels were higher in patients with post COVID-19 syndrome than those without symptoms. Optimizing the nursing care environment is essential to continue home health care and lower the hospitalization rate even with SARS-CoV-2 infection. Post COVID-19 syndrome, such as appetite and weight loss, are associated with IL-6-induced inflammation. [ABSTRACT FROM AUTHOR]

Problem Blood is a rare perishable substance with limited life in the real world and blood supply chain management is a vital subject. Hence, it is trying to design an efficient supply chain network to create a balance between blood supply and demand, particularly in deficient conditions. One effective solution for blood deficiency compensation is the use of incentive programs at the right times to encourage people for blood donation. The novel aspect of this study considers a new mathematical model to design a blood supply chain network with the location of temporary centers for collecting donated blood, in addition to incentive programs in the right periods to actualize the goal of creating blood supply-demand equilibrium and minimizing the cost of the network. Method In this paper, four methods have been used in different dimensions to solve the proposed model. In this case, augmented epsilon constraint (AEC/EC) was used for small dimensions, while electromagnetic algorithm (EM), Non-dominated ranked genetic algorithm (NRGA), and non-dominated sorting genetic algorithm (NSGA-II) were used for large dimensions due to the inherent complexity of the problem. Results The performance of algorithms was analyzed based on the four standard indicators. Then, their outputs were evaluated using statistical assumption tests at the significance level of 0.05. In three considered indicators (SNS, MID, and TIME indicators), the NSGA-II algorithm outperformed the NRGA and EM algorithms. This case indicated the superiority of the NSGA-II algorithm over the NRGA and EM algorithms especially for problem solution time, which is one of the most significant indicators used in metaheuristic algorithms. [ABSTRACT FROM AUTHOR]

In a pivotal study on polycystic ovary syndrome, 1,25-dihydroxyvitamin D3 [1,25-(OH)2D3] was found to significantly mitigate palmitic acid-induced apoptosis in ovarian granulosa cells, which is crucial for oocyte development. The study used a high-fat cell model with palmitic acid to simulate the elevated free fatty acids found in obese polycystic ovary syndrome patients. Findings revealed that pretreatment with 1,25-(OH)2D3 reversed the detrimental effects of palmitic acid, including decreased cell viability and increased apoptosis, by modulating the inositol-requiring transmembrane kinase endoribonuclease-1α/X-box-binding protein 1 spliced pathway. These results suggest a promising role for vitamin D in treating polycystic ovary syndrome and offer a new theoretical basis for its application in reproductive health. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to clarify the relationship between organizational work-family practices and employee work-family conflict in light of the boundary conditions of commitment-based human resource management (HRM) and employee human capital. Design/methodology/approach: The paper opted for a multi-source, multi-level design and surveyed 1,717 individuals (including CEOs, HR managers and employees) from 159 firms in China. The model was tested using hierarchical linear modeling. Findings: The paper provides empirical insights that the effect of work-family practices on work-family conflict is indispensably dependent on the adoption of commitment-based HRM. In addition, employee human capital further moderated this interaction in that the effect of work-family practices on reducing work-family conflict was most salient with high-education employees who were embedded in a high-commitment HRM system. Research limitations/implications: Testing the hypotheses in the Chinese context has both its merits and drawbacks. Specific results are pursuant to the Chinese context. Therefore, a cross-cultural comparative study is called upon. Practical implications: The paper includes implications for organizations striving to minimize employee work-family conflict. Originality/value: This paper primarily applies the resource-building perspective to examine the synergistic effects of organizational resources (targeting work-family practices together with general commitment-based HRM) and individual intellectual resources (human capital) on employee work family conflict. [ABSTRACT FROM AUTHOR]

Periodograms are widely employed for identifying periodicity in time series data, yet they often struggle to accurately quantify the statistical significance of detected periodic signals when the data complexity precludes reliable simulations. We develop a data-driven approach to address this challenge by introducing a null-signal template (NST). The NST is created by carefully randomizing the period of each cycle in the periodogram template, rendering it non-periodic. It has the same frequentist properties as a periodic signal template, and we show with simulations that the distribution of false positives is the same as with the original periodic template, regardless of the underlying data. Thus, performing a periodicity search with the NST acts as an effective simulation of the null (no-signal) hypothesis, without having to simulate the noise properties of the data. We apply the NST method to the supermassive black hole binaries (SMBHB) search in the Palomar Transient Factory (PTF), where Charisi et al. had previously proposed 33 high signal-to-noise candidates utilizing simulations to quantify their significance. Our approach reveals that these simulations do not capture the complexity of the real data. There are no statistically significant periodic signal detections above the non-periodic background. To improve the search sensitivity, we introduce a Gaussian quadrature based algorithm for the Bayes Factor with correlated noise as a test statistic. We show with simulations that this improves sensitivity to true signals by more than an order of magnitude. However, the Bayes Factor approach also results in no statistically significant detections in the PTF data. [ABSTRACT FROM AUTHOR]

Rubin’s Rules are commonly used to pool the results of statistical analyses across imputed samples when using multiple imputation. Rubin’s Rules cannot be used when the result of an analysis in an imputed dataset is not a statistic and its associated standard error, but a test statistic (e.g. Student’s t-test). While complex methods have been proposed for pooling test statistics across imputed samples, these methods have not been implemented in many popular statistical software packages. The median p-value method has been proposed for pooling test statistics. The statistical significance level of the pooled test statistic is the median of the associated p-values across the imputed samples. We evaluated the performance of this method with nine statistical tests: Student’s t-test, Wilcoxon Rank Sum test, Analysis of Variance, Kruskal-Wallis test, the test of significance for Pearson’s and Spearman’s correlation coefficient, the Chi-squared test, the test of significance for a regression coefficient from a linear regression and from a logistic regression. For each test, the empirical type I error rate was higher than the advertised rate. The magnitude of inflation increased as the prevalence of missing data increased. The median p-value method should not be used to assess statistical significance across imputed datasets. [ABSTRACT FROM AUTHOR]

Background: Postoperative pain management remains a significant challenge for patients undergoing posterior urethroplasty (PU). In a previous study, we proposed a novel technique of combined pudendal nerve (PN) and spermatic cord (SC) block to manage pain after PU. The present trial was conducted to test the hypothesis that this technique is effective for pain control after PU and provides longer-lasting analgesia than caudal epidural block (CB). Methods: Sixty patients undergoing PU were randomized into two groups: Group NB received combined PN and SC block, and Group CB received CB. General anesthesia with a laryngeal mask was performed. The primary outcome was the postoperative analgesic duration, and the secondary outcomes included the Numeric Rating Scale (NRS) scores for pain and the number of patients with different motor scores of the lower limb at 3, 6, 12, and 24 h postoperatively. Results: Two patients in Group CB were withdrawn due to block failure. The postoperative analgesic duration was statistically longer in Group NB compared with Group CB (mean difference [95% confidence interval], 115.78 min [17.80, 213.75]; P = 0.021). The NRS scores for pain at 12 and 24 h after surgery were statistically lower in Group NB compared with Group CB. Group NB had statistically more patients with motor score 0 at 3 h postoperatively than Group CB. Conclusions: PN combined with SC block is an effective technique for postoperative analgesia in PU. This technique can achieve a longer duration of analgesia and lower pain scores, especially 12 h after surgery, than a CB. Trial registration: This study was registered in the Chinese Clinical Trial Register (registration no. ChiCTR2100042971, registration date on 2/2/2021). [ABSTRACT FROM AUTHOR]

Rice is the most widely consumed grain across the world. The rice plants often suffer from diseases. Early detection of such diseases and adopting remedial measures can help the farmers to avoid major losses and can produce best-quality crops in large quantities. However, the conventional rice leaf disease detection techniques are often not accurate, time-consuming and sometimes require laboratory testing. In this context, automatic rice leaf disease detection techniques are presented based on the various deep learning classifiers (namely MobileNetV2, ResNet50, VGG16 and Le-Net5) and an Android application is also developed in order to instantly determine the possible rice diseases from the uploaded rice leaf images captured by the smartphone. The developed models are tested using the publicly available benchmark rice leaf dataset containing three types of rice leaf diseases, namely bacterial leaf blight, leaf smut and brown spot. Experimental results show that MobileNetV2 model performed better compared to other models in terms of classification accuracy, recall and F1-score. The results of statistical significance test also confirmed the superiority of the MobileNetV2 model over other compared deep learning models. [ABSTRACT FROM AUTHOR]

This post hoc analysis explored the age-specific risk of cervical precancer in women infected with human papillomavirus (HPV), using data from a cohort of 7263 participants aged 21-71years undergoing cervical screening. We found a slightly varied prevalence of high-risk HPV (hrHPV) in different age, with highest in women under 30 years old (9.28% for 13 hrHPVs tested by HC2-HPV, 10.82% for 14 hrHPVs tested by DH3-HPV). However, the prevalence of cytology abnormalities peaked in age 30–39 years (~ 3.6%). A total of 5840 women completed 3-year follow-up. Among them, 558 were positive for HC2 assay and 583 were positive for DH3-HPV at baseline. Of note, the 3-year cumulative risks for cervical intraepithelial neoplasia grade 2+ (CIN2+) or grade 3+ (CIN3+) in women infected with high-risk HPV did not increase with age but declined (e.g., 41.67%, 27.78%, 26.42%, 15.98%, and 18% for CIN2 + risk in HC2-positive women at year 25–29, year 30–39, year 40–49, year 50–59, and year 60–71, respectively). If stratified by the median age, younger women (25–48 years) positive with HC2-HPV at baseline had a higher 3-year CIN2+/CIN3 + risk than older women (49–71 years) [26.55% (95%CI = 21.8-31.92%) vs. 18.28% (95%CI = 14.11-23.34%), P = 0.019; 15.52% (95%CI = 11.81-20.14%) vs. 9.7% (95%CI = 6.71-13.83%), P = 0.039]. Similarly, for women positive with DH3-HPV at baseline, younger group had a higher 3-year CIN2+/CIN3 + risk than older group [26.44% (95%CI = 21.73-31.75%) vs. 17.01% (95%CI = 13.11-21.78%), P = 0.006; 15.25% (95%CI = 11.6-19.8%) vs. 9.03% (95%CI = 6.24-12.9%), P = 0.021]. These findings indicate the potential value of age-specific risk assessment in cervical cancer screening. [ABSTRACT FROM AUTHOR]

Introduction: The purpose of this study was to describe how hip fractures differentially affect male and female patients regarding fracture pattern, hospital course, and postoperative course. Materials and Methods: This retrospective case series was performed in a metropolitan healthcare system involving 2996 hip fracture patients >59 years old who underwent surgical management (eg, intramedullary nail, hemiarthroplasty, percutaneous pinning, etc.). Male patients were matched to female patients using 1:2 nearest neighbor matching on the basis of age and Charlson Comorbidity Index. Outcomes of interest included AO/OTA fracture classification, 30- and 90-day readmission, and 30-day and 1-year mortality rates. Results: The cohort was predominantly female (64.5%). Female patients were more likely to sustain a type 31A fracture compared to males (P =.016). The average CCI was higher for males vs females (3.0 ± 2.5 vs 2.6 ± 2.3, P <.001). Males were more likely to be readmitted at 30 (P <.001) and 90 (P =.015) days after discharge. The 30-day mortality was higher for males vs females (6.6% vs 4.5%, P =.015). Approximately 19.9% of male patients vs 15.1% of females died within a year of surgery (P <.001). The average time to surgery was longer for males vs females (23.8 ± 18.8 vs 22.5 ± 21.9 h, P =.048). Males were more likely to die within a year if they underwent surgery >24 h after admission (P =.029). Discussion: Hip fractures have different implications for male and female patients. With age, the incidence of IT fractures increased in females, while it decreased in males. On average, males with hip fractures are sicker than females, which likely contributes to the longer time to surgery as well as increased readmission and mortality rates seen in males. Conclusions: Male and female hip fracture patients are not similar in baseline health status, fracture pattern, or postoperative morbidity and mortality. Orthogeriatricians and other providers that care for this patient population should be aware of these differences when implementing treatment strategies to optimize the recovery of their patients, and while educating patients and their families about postoperative expectations. [ABSTRACT FROM AUTHOR]

Background: Cognitive impairment (CI) is common in Parkinson's disease (PD). Multiple brain regions and their interactions are involved in PD associated CI. Magnetic resonance imaging (MRI) technology is a non-invasive method in investigating brain structure and interregional connections. In this study, by comparing cortical thickness, subcortical volume, and brain network topology properties in PD patients with and without CI, we aimed to understand the changes of brain structure and structural covariance network properties in PD associated CI. Methods: A total of 18 PD patients with CI and 33 PD patients without CI were recruited. Movement Disorder Society Unified Parkinson's Disease Rating Scale, Hoehn and Yahr stage, Mini Mental State Examination Scale, Non-motor Symptom Rating Scale, Hamilton Anxiety Scale, and Hamilton Depression Scale were assessed. All participants underwent structural 3T MRI. Cortical thickness, subcortical volume, global and nodal network topology properties were measured. Results: Compared with PD patients without CI, the volumes of white matter, thalamus and hippocampus were lower in PD patients with CI. And decreased whole-brain local efficiency is associated with CI in PD patients. While the cortical thickness and nodal network topology properties were comparable between PD patients with and without CI. Conclusion: Our findings support the alterations of brain structure and disruption of structural covariance network are involved in PD associated CI, providing a new insight into the association between graph properties and PD associated CI. [ABSTRACT FROM AUTHOR]

Although biologists have described biofluorescence in a diversity of taxa, there have been few systematic efforts to document the extent of biofluorescence within a taxonomic group or investigate its general significance. Through a field survey across South America, we discover and document patterns of biofluorescence in tropical amphibians. We more than triple the number of anuran species that have been tested for this trait. We find evidence for ecological tuning (i.e., the specific adaptation of a signal to the environment in which it is received) of the biofluorescent signals. For 56.58% of species tested, the fluorescence excitation peak matches the wavelengths most abundant at twilight, the light environment in which most frogs are active. Additionally, biofluorescence emission spans both wavelengths of low availability in twilight and the peak sensitivity of green-sensitive rods in the anuran eye, likely increasing contrast of this signal for a conspecific receiver. We propose an expanded key for testing the ecological significance of biofluorescence in future studies, providing potential explanations for the other half of fluorescent signals not originally meeting formerly proposed criteria. With evidence of tuning to the ecology and sensory systems of frogs, our results suggest frog biofluorescence is likely functioning in anuran communication. The significance of biofluorescence across taxonomic groups is understudied. Here the authors document biofluorescence in South American tropical amphibians, suggesting that biofluorescence corresponds with wavelengths of light at twilight and may be used in communication. [ABSTRACT FROM AUTHOR]

The primary objective of this study is to determine the effect of parental migration on students' behavior and cognitive skills. This study sought to answer the following questions: (1) How do the respondents describe the migration of parents abroad in terms of education, work, and Income? (2) What is the perception of the respondents on students' behavior? (3) How do the respondents perceive students' cognitive skills? (4) Does Parental Migration significantly affect behavior and cognitive skills of the students? A survey questionnaire was used in collecting data and information. The survey was conducted on a face-to-face modality in St. Mary's Academy of Nagcarlan during the class in Araling Panlipunan. The descriptive correlational study method was used in order to gather data together with related sources of information for an accurate interpretation of findings. The main data obtained were treated statistically with the use of the percentage and frequency distribution, weighted mean, standard deviation and Pearson for inferential questions with a .05 level of significance to determine if there is a significant effect. The test of significance within the variables reveals that there are variables that do not have a significant effect on students' behavior and cognitive skills, thus, partially accepting the null hypothesis. [ABSTRACT FROM AUTHOR]

This paper investigates publication strategies of the most distinguished local government researchers in eight European countries. Drawing upon dependency theory, accumulative advantage theory and 'utility maximizing' theory, we compare publication strategies of scholars from countries that vary in terms of the distance from the core of academic knowledge production, also taking into consideration their career length (academic age). The two publication strategies compared are international visibility and domestic visibility. The analysis confirmed the hypothesis that younger scholars are more prone to adopt internationalization strategy which has been institutionally incentivized by NPM reforms. However, the difference among core, catching‐up and peripheral countries is not as sizeable as expected. [ABSTRACT FROM AUTHOR]

Central nodes, also known as vital or critical nodes, play a unique role in networks of various domains. To date, numerous centrality evaluation methods have been proposed to identify central nodes from different types of networks. However, most of existing methods did not address this issue from a rigorous significance testing perspective. As a result, it is hard for us to judge whether an identified central node is true or not and control the quality of reported nodes in a statistically sound manner. In this paper, we propose a centrality evaluation method based on hypothesis testing, where the test statistic is the degree sum of the neighbors of the node. We further derive an analytical p value and its upper bound under the Erdös–Rényi model, which can be employed as the centrality score for vital node recognition. To demonstrate the effectiveness of our method, extensive experiments are conducted on both simulated and real networks. The experimental results show that (1) our testing‐based centrality measure in terms of p value is capable of distinguishing central nodes from non‐central ones effectively and (2) our method is able to identify central nodes more accurately than those classic centrality measures and state‐of‐the‐art (SOTA) centrality evaluation methods. [ABSTRACT FROM AUTHOR]

Although the relationship between high-impact sports like football and basketball and the development of knee osteoarthritis is well established, the effect of martial arts on the knee joint remains unclear. To compare the imaging abnormalities of knee joints and T2 relaxation times of cartilage in professional martial arts athletes and healthy controls. Cross-sectional study. Hospital imaging center. Nine asymptomatic professional martial arts athletes and 18 healthy volunteers. We performed 3T magnetic resonance imaging of the knee on both legs of athletes and the dominant leg of controls. The magnetic resonance imaging protocol included conventional sequences used for morphological assessment (cartilage, meniscus, ligaments, joint effusion, and bone marrow edema) and T2 mapping used for quantitatively evaluating the cartilage. Knee cartilage was manually divided into 8 regions, and T2 relaxation times of the corresponding subregions were measured. Fisher exact test and t test were used to compare the frequency of lesions and cartilage T2 values both between groups and between the athletes' limbs. P <.05 was considered significant. Professional martial arts athletes exhibited significantly higher frequencies of cartilage (55.6% vs 11.1%, P =.023) and ligament lesions (66.7% vs 16.7%, P =.026) compared with the control group. Athletes showed higher T2 values in 3 distinct cartilage segments: the central weight-bearing segment of the medial femoral condyle (P =.006), the medial tibial plateau (P =.012), and the trochlea (P =.032), when compared with the controls. Additionally, the dominant leg of athletes showed significantly higher T2 values compared with the nondominant leg. The findings demonstrated the impact of martial arts on the knee joint, characterized by higher prevalence of lesions and elevated cartilage T2 values, particularly in the medial compartment. The dominant legs of martial arts athletes seem to have higher risk of cartilage degeneration due to the observed interlimb differences in T2 values. [ABSTRACT FROM AUTHOR]

Earth's surface velocities are routinely extracted from Global Navigation Satellite System (GNSS) position time series. In addition to velocity estimates, acceleration may be a crucial parameter for modeling non-linear motion. Typically, a statistical hypothesis test is employed to evaluate the significance of the involved parameters and guide the selection of the appropriate model. In this contribution, we formulate a statistical test procedure from the generalized likelihood ratio test to analyze the significance of the acceleration in the model. The proposed procedure is compared with results obtained using the Akaike Information Criterion and Bayesian Information Criterion. Additionally, Minimal Detectable Horizontal Acceleration is provided as an indicator of the sensitivity of the acceleration detection. The GNSS time series of position estimates from the Nevada Geodetic Laboratory were used for this study. The experiments demonstrated a good agreement between the statistical test proposed and the information criteria approach. Therefore, the proposed statistical test may be another criterion to help the user in the important task of model selection. [ABSTRACT FROM AUTHOR]

Aims: To estimate the direct costs during the prenatal, delivery and postpartum periods in mothers with diabetes in pregnancy, compared to those without. Methods: This study used a population‐based dataset from 2004 to 2017, including 57,090 people with diabetes and 114,179 people without diabetes in Tasmania, Australia. Based on diagnostic codes, delivery episodes with gestational diabetes mellitus (GDM) were identified and matched with delivery episodes without diabetes in pregnancy. A group of delivery episodes with pre‐existing diabetes was identified for comparison. Hospitalisation, emergency department and pathology costs of these groups were calculated and adjusted to 2020–2021 Australian dollars. Results: There were 2774 delivery episodes with GDM, 2774 delivery episodes without diabetes and 237 delivery episodes with pre‐existing diabetes identified. Across the 24‐month period, the pre‐existing diabetes group required the highest costs, totalling $23,536/person. This was followed by the GDM ($13,210/person), and the no diabetes group ($11,167/person). The incremental costs of GDM over the no diabetes group were $890 (95% CI 635; 1160) in the year preceding delivery; $812 (616; 1031) within the delivery period and $341 (110; 582) in the year following delivery (p < 0.05). Within the year preceding delivery, the incremental costs in the prenatal period were $803 (579; 1058) (p < 0.05). Within the year following delivery, the incremental costs in the postpartum period were $137 (55; 238) (p < 0.05). Conclusions: Our results emphasised the importance of proper management of diabetes in pregnancy in the prenatal and postpartum periods and highlighted the significance of screening and preventative strategies for diabetes in pregnancy. [ABSTRACT FROM AUTHOR]

Polygenic risk scores (PRSs) enable early prediction of disease risk. Evaluating PRS performance for binary traits commonly relies on the area under the receiver operating characteristic curve (AUC). However, the widely used DeLong's method for comparative significance tests suffer from limitations, including computational time and the lack of a one-to-one mapping between test statistics based on AUC and R 2 . To overcome these limitations, we propose a novel approach that leverages the Delta method to derive the variance and covariance of AUC values, enabling a comprehensive and efficient comparative significance test. Our approach offers notable advantages over DeLong's method, including reduced computation time (up to 150-fold), making it suitable for large-scale analyses and ideal for integration into machine learning frameworks. Furthermore, our method allows for a direct one-to-one mapping between AUC and R 2 values for comparative significance tests, providing enhanced insights into the relationship between these measures and facilitating their interpretation. We validated our proposed approach through simulations and applied it to real data comparing PRSs for diabetes and coronary artery disease (CAD) prediction in a cohort of 28,880 European individuals. The PRSs were derived using genome-wide association study summary statistics from two distinct sources. Our approach enabled a comprehensive and informative comparison of the PRSs, shedding light on their respective predictive abilities for diabetes and CAD. This advancement contributes to the assessment of genetic risk factors and personalized disease prediction, supporting better healthcare decision-making. [ABSTRACT FROM AUTHOR]

This study tackles the Garden of Forking Paths, as a challenge for replicability and reproducibility of ERP studies. Here, we applied a multiverse analysis to a sample ERP N400 dataset, donated by an independent research team. We analyzed this dataset using 14 pipelines selected to showcase the full range of methodological variability found in the N400 literature using systematic review approach. The selected pipelines were compared in depth by looking into statistical test outcomes, descriptive statistics, effect size, data quality, and statistical power. In this way we provide a worked example of how analytic flexibility can impact results in research fields with high dimensionality such as ERP, when analyzed using standard null‐hypothesis significance testing. Out of the methodological decisions that were varied, high‐pass filter cut‐off, artifact removal method, baseline duration, reference, measurement latency and locations, and amplitude measure (peak vs. mean) were all shown to affect at least some of the study outcome measures. Low‐pass filtering was the only step which did not notably influence any of these measures. This study shows that even some of the seemingly minor procedural deviations can influence the conclusions of an ERP study. We demonstrate the power of multiverse analysis in both identifying the most reliable effects in a given study, and for providing insights into consequences of methodological decisions. This study shows that most ERP preprocessing and analysis steps can affect study outcomes, and that even some of the seemingly minor procedural deviations can influence conclusions of an ERP study, and it demonstrates the power of the multiverse analysis approach in both identifying the most reliable effects and providing concrete insights into consequences of a given methodological decision. [ABSTRACT FROM AUTHOR]

Aiming at the problem of traditional high utility itemset mining algorithms reporting false positive high utility itemsets in transactions with class labels, this paper proposed two high utility itemset mining algorithms called FHUI and PHUI. The FHUI and PHUI firstly found all the candidates and grouped them by length. Then, the FHUI established null distributions with the frequency distributions, while the PHUI established null distributions by the permutation strategy within or between transactions. Finally, the FHUI and PHUI calculated the p values from the null distributions and exploited the false discovery rate to eliminate the false positive high utility itemsets. The experiments on the benchmark data sets show that the FHUI and PHUI can eliminate a large number of false positive itemsets, which allows them to achieve higher accuracy rates in the classification tasks. The experiments on synthetic data sets reveal that the proportions of false positive itemsets reported by FHUI and PHUI are lower than 4.8% and the average utility values are higher than 39 000. Experimental results prove that the statistically significant high utility itemsets reported by the FHUI and PHUI are more reliable and practical in transactions with class labels. [ABSTRACT FROM AUTHOR]

Purpose: For non-autistic children, it is well established that linguistic awareness skills support their success with reading and spelling. Few investigations have examined whether these same linguistic awareness skills play a role in literacy development for autistic elementary school-age children. This study serves as a first step in quantifying the phonological, prosodic, orthographic, and morphological awareness skills of autistic children; how these skills compare to those of non-autistic children; and their relation to literacy performance. Method: We measured and compared the phonological, prosodic, orthographic, and morphological awareness skills of 18 autistic (with average nonverbal IQs) and 18 non-autistic elementary school-age children, matched in age, nonverbal IQ, and real-word reading. The relations between linguistic awareness and the children's word-level literacy and reading comprehension skills were examined, and we explored whether the magnitude of these relations was different for the two groups. Regression analyses indicated the relative contribution of linguistic awareness variables to performance on the literacy measures for the autistic children. Results: The non-autistic children outperformed the autistic children on most linguistic awareness measures. There were moderate-to-strong relations between performances on the linguistic awareness and literacy measures for the non-autistic children, and most associations were not reliably different from those for the autistic children. Regression analyses indicate that the performance on specific linguistic awareness variables explains unique variance in autistic children's literacy performance. Conclusion: Although less developed than those of their non-autistic peers, the linguistic awareness skills of autistic elementary school-age children are important for successful reading and spelling. [ABSTRACT FROM AUTHOR]

Background: Despite excellent surgical outcomes, a minority of qualified patients undergo weight loss surgery. Endoscopic Sleeve Gastroplasty (ESG), an incisionless procedure, has proven to be effective in achieving weight loss and comorbidity improvement. We aim to compare outcomes of ESG to those of Laparoscopic Sleeve Gastrectomy (LSG). Method: A retrospective review of a prospective database of patients who underwent ESG and LSG at NorthShore University HealthSystem from 2016 to 2023 was completed. Demographic and outcome data were analyzed. Pre- and post-surgical data were compared using chi-square and two-sample t tests. Improvement or resolution of obesity-related comorbidities were also assessed. Results: A total of 212 LSG and 68 ESG patients were reviewed. ESG patients were older (47 ± 10 vs. 43 ± 12, p = 0.006) and less obese (BMI 37.0 ± 5.5 vs. 45.8 ± 0.4, p < 0.001) than LSG patients. Median length of stay after ESG was 0 days and after LSG 1 day (p < 0.001). Severe adverse events were seen less frequent after ESG (1.47%, vs 3.77%). LSG achieved more significant %TBWL at 6 months (25.2 ± 8.9 vs 14.9 ± 7.4), 1 year (27.5 ± 10.8 vs 14.1 ± 9.8), and 2 years (25.7 ± 10.8 vs 10.5 ± 8.8, all p < 0.001) after surgery when compared to ESG. LSG achieved significantly greater %EWL compared to ESG at 6 months (57.0 ± 20.7 vs 50.4 ± 29.2, p = 0.137), 1 year (61.4 ± 24.6 vs 46.5 ± 34.0, p = 0.026), and 2 years postoperatively (59.7 ± 25.5 vs 32.6 ± 28.2, p = 0.001). There were no statistically significant differences in rates of improvement or resolution of diabetes, obstructive sleep apnea, hyperlipidemia, or hypertension. Conclusion: ESG is an effective procedure for weight loss and comorbidity resolution. Obesity-related comorbidities are comparably improved and resolved following ESG vs LSG. Although the weight loss in LSG is significantly higher, patients can expect a shorter hospital length of stay and a lower rate of complications after ESG. ESG continues to show promise for long-term weight loss and improvement in health. [ABSTRACT FROM AUTHOR]

We tested the educational effectiveness of an inquiry-guided approach (Lee et al., 2004; Prince & Felder in Journal of Engineering Education, 95, 123–138, 2006) to teaching a possible outcome of statistical hypothesis testing known as type 1 error. The approach consisted of showing participants an animated space exploration video. In the video, the commander of a spaceship set out to determine whether the concentration of carbon dioxide on a distant planet exceeded the concentration found on Earth. To make this determination, the commander conducted a series of hypothesis tests. One of the tests suggested that the concentration of carbon dioxide was significantly higher than that on Earth. However, when juxtaposed with the results of the other hypothesis tests, the lone decision to reject the null hypothesis appeared to be a type 1 error. The video's educational effectiveness was evaluated in two ways. First, participants responded to a set of multiple-choice questions on type 1 error, both before and after watching the video. Participants' scores on the multiple-choice test increased significantly from pre-test to post-test. Second, participants rated the video on a set of semantic differential items that tapped its educational effectiveness. On average, participants found the video to be educationally effective. The article concludes with an evaluation of the video's features based on established best practices in statistics education (GAISE College Report ASA Revision Committee, 2016). [ABSTRACT FROM AUTHOR]

Background: Malaria disease is one of the most dangerous protozoan parasitic infections with a high mortality rate in developing countries. Malaria is a public health issue, especially in Hormozgan province, and is highly affected by foreign immigrants (Pakistani and Afghani); thus, the present study aimed to evaluate the effect of an intervention based on the health belief model (HBM) on the promotion of malaria prevention behaviors in Afghani immigrants over the age of 18. The participants resided in Persian city in Hormozgan province. Methods: The present quasi-experimental study was conducted on 200 Afghans immigrants over 18 years of age who visited four comprehensive health service centers in Parsian city, south of Iran in June until December 2023. Sampling was by cluster method. In this way, the health centers were considered as clusters, and then 4 centers were randomly selected from among them (two centers of the control group and two centers of the intervention group) and participants were selected by a systematic random method by list of records in the National Integrated Health Record System (called SIB) (100participants control group, 100 participants intervention group). The data were collected using a researcher-made questionnaire based on the HBM before and after the educational intervention An educational program was designed and implemented to promote preventive behaviors against malaria in five sessions using different strategies and based on the HBM for the intervention group. The data were analyzed using independent-samples T-test, paired-samples T-test, Pearson's correlation coefficient, analysis of covariance and linear regression. All statistical analyses and hypothesis testing were done in IBM SPSS version 25, at a significance level of 0.05. Results: In the intervention group, there was a significant difference in the mean scores of knowledge (6.48, 95% CI: 5.9,7.05), perceived susceptibility (10.57, 95% CI: 10.03, 11.1), perceived severity (16.61, 95% CI: 15.83, 16.83), perceived self-efficacy (18.26, 95% CI: 17.55, 18.96), perceived benefits (15.43, 95% CI: 14.68, 16.17), perceived barriers (-22.49, 95% CI: -23.63, -21.30), cues to action (15.06, 95% CI: 14.36, 15.75), and preventive behaviors (20.05, 95% CI: 19.44, 20.65), before and after the educational intervention. P-value < 0.001. The regression analysis showed that the constructs of perceived susceptibility (T = 4.72, P < 0.001), cues to action (T = 5.30, P < 0.001)and perceived self-efficacy (T = 4.93, P < 0.001) led to the greatest change in malaria prevention behaviors(R-Square = 0.549). Conclusion: The present findings showed that the HBM -based intervention was effective in preventive behaviors against malaria in Afghans. It is recommended to design suitable educational interventions in order to increase the perceived susceptibility, cues to action and self-efficacy in order to improve preventive behaviors against malaria in Afghans. [ABSTRACT FROM AUTHOR]

This paper explores the cross-national variation in the gap in university expectations between native and second-generation immigrant students and whether it is moderated by characteristics of the country of residence of children of immigrants. Three domains have been considered at the national level: the context of reception of immigration (legal status of non-national immigrants and views about immigration of the local population); labour market segmentation and education systems (external differentiation). The study tests the general hypothesis that settings that enhance individual autonomy and widen room for choice by removing formal and informal barriers that migrants and their descendants face in everyday life and in specific domains (education and labour market) are associated with a larger gap in university expectations that is favourable to children of immigrants (a larger 'immigrant advantage'). Applying a two-stage analysis to PISA 2015 data, results provide overall support for this hypothesis. More welcoming contexts of reception are associated with a larger immigrant advantage. External differentiation is negatively associated with it, both for students attending general and vocational tracks, especially the latter, as compared to non-tracked students attending common tracks. There is not a robust association between labour market segmentation and the university expectations' gap. [ABSTRACT FROM AUTHOR]

Objective To define the functional relevance of H19 X-linked (H19X) co-expressed long non-coding RNA (lncRNA) in endothelial cell (EC) activation as a key process in SSc vasculopathy. Methods H19X expression in SSc skin biopsies was analysed from single-cell RNA sequencing (scRNA-seq) data. Differential expression and pathway enrichment analysis between cells expressing (H19Xpos) and non-expressing H19X (H19Xneg) cells was performed. H19X function was investigated in human dermal microvascular ECs (HDMECs) by silencing. H19X and EC adhesion molecule levels were analysed by real-time quantitative PCR and western blot after stimulation with pro-inflammatory cytokines. Cytoskeletal rearrangements were analysed by fluorescent staining. Endothelial adhesion was evaluated by co-culture of HDMECs and fluorescent-labelled peripheral blood mononuclear cells (PBMCs). Shedding vascular cell adhesion protein 1 (VCAM1) was evaluated by ELISA on HDMEC supernatant. Results The scRNA-seq data showed significant upregulation of H19X in SSc compared with healthy ECs. In HDMECs, H19X was consistently induced by IFN type I and II. H19X knockdown lead to a significant decrease in the mRNA of several adhesion molecules. In particular, VCAM1 was significantly reduced at the protein and mRNA levels. Co-expression analysis of the scRNA-seq data confirmed higher expression of VCAM1 in H19Xpos ECs. ECs were also strongly associated with the 'cell adhesion molecule' pathway. Moreover, the VCAM1 downstream pathway displayed less activation following H19X knockdown. Contractility of HDMECs, PBMC adhesion to HDMECs and VCAM1 shedding were also reduced following H19X knockdown. Conclusions lncRNA H19X may contribute to EC activation in SSc vasculopathy, acting as a regulator of expression of adhesion molecules in ECs. [ABSTRACT FROM AUTHOR]

Background: The selection of statistical analysis methods in research is a critical and nuanced task that requires a scientific and rational approach. Aligning the chosen method with the specifics of the research design and hypothesis is paramount, as it can significantly impact the reliability and quality of the research outcomes. Methods: This study explores a comprehensive guideline for systematically choosing appropriate statistical analysis methods, with a particular focus on the statistical hypothesis testing stage and categorization of variables. By providing a detailed examination of these aspects, this study aims to provide researchers with a solid foundation for informed methodological decision making. Moving beyond theoretical considerations, this study delves into the practical realm by examining the null and alternative hypotheses tailored to specific statistical methods of analysis. The dynamic relationship between these hypotheses and statistical methods is thoroughly explored, and a carefully crafted flowchart for selecting the statistical analysis method is proposed. Results: Based on the flowchart, we examined whether exemplary research papers appropriately used statistical methods that align with the variables chosen and hypotheses built for the research. This iterative process ensures the adaptability and relevance of this flowchart across diverse research contexts, contributing to both theoretical insights and tangible tools for methodological decision-making. Conclusions: This study emphasizes the importance of a scientific and rational approach for the selection of statistical analysis methods. By providing comprehensive guidelines, insights into the null and alternative hypotheses, and a practical flowchart, this study aims to empower researchers and enhance the overall quality and reliability of scientific studies. [ABSTRACT FROM AUTHOR]

This note is concerned with the benefits that can result from the use of the maximal reliability and optimal linear combination concepts in educational and psychological research. Within the widely used framework of unidimensional multi-component measuring instruments, it is demonstrated that the linear combination of their components that possesses the highest possible reliability can exhibit a level of consistency considerably exceeding that of their overall sum score that is nearly routinely employed in contemporary empirical research. This optimal linear combination can be particularly useful in circumstances where one or more scale components are associated with relatively large error variances, but their removal from the instrument can lead to a notable loss in validity due to construct underrepresentation. The discussion is illustrated with a numerical example. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate whether a commercial AI tool for intracranial hemorrhage (ICH) detection on head CT exhibited sociodemographic biases. Methods: Our retrospective study reviewed 9736 consecutive, adult non-contrast head CT scans performed between November 2021 and February 2022 in a single healthcare system. Each CT scan was evaluated by a commercial ICH AI tool and a board-certified neuroradiologist; ground truth was defined as final radiologist determination of ICH presence/absence. After evaluating the AI tool's aggregate diagnostic performance, sub-analyses based on sociodemographic groups (age, sex, race, ethnicity, insurance status, and Area of Deprivation Index [ADI] scores) assessed for biases. χ2 test or Fisher's exact tests evaluated for statistical significance with p ≤ 0.05. Results: Our patient population was 50% female (mean age 60 ± 19 years). The AI tool had an aggregate accuracy of 93% [9060/9736], sensitivity of 85% [1140/1338], specificity of 94% [7920/ 8398], positive predictive value (PPV) of 71% [1140/1618] and negative predictive value (NPV) of 98% [7920/8118]. Sociodemographic biases were identified, including lower PPV for patients who were females (67.3% [62,441/656] vs. 72.7% [699/962], p = 0.02), Black (66.7% [454/681] vs. 73.2% [686/937], p = 0.005), non-Hispanic/non-Latino (69.7% [1038/1490] vs. 95.4% [417/437]), p = 0.009), and who had Medicaid/Medicare (69.9% [754/1078]) or Private (66.5% [228/343]) primary insurance (p = 0.003). Lower sensitivity was seen for patients in the third quartile of national (78.8% [241/306], p = 0.001) and state ADI scores (79.0% [22/287], p = 0.001). Conclusions: In our healthcare system, a commercial AI tool had lower performance for ICH detection than previously reported and demonstrated several sociodemographic biases. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to establish a population pharmacokinetic (PK) model to evaluate the dynamic relationship between the concentrations of total and unbound paclitaxel, and the exposure-response analysis of albumin-bound paclitaxel (nab-paclitaxel) after pegylated recombinant human granulocyte colony-stimulating factor (PEG-G-CSF) administration in patients with metastatic breast cancer. Methods: A total of 653 concentrations corresponding to total paclitaxel and 334 concentrations corresponding to unbound paclitaxel were analyzed in 24 subjects who randomized received a single 260 mg/m2 dose of two nab-paclitaxel formulations with a 21–35-day washout period. PEG-G-CSF was administered to all the patients in each cycle to prevent neutropenia. The exposure-response relationships were evaluated using the exposure to total, albumin-coated, and unbound paclitaxel, as well as the reduction in neutrophil count. The exposure data were analyzed using nonlinear mixed-effect modeling. A linear regression model was used to test the statistical significance of the correlation between percentage of reduction in neutrophil count and exposure. Results: The PK characteristics of total paclitaxel were described using a three-compartment model with first-order elimination, and a mechanism-based model incorporating linear release of nab-paclitaxel and the saturated binding of unbound paclitaxel to plasma components was established. The release ratio of paclitaxel from nab-paclitaxel was estimated to be 4.60% and the maximum unbound fraction (2.76%) was reached at the end of the infusion. The study found that a longer duration of total paclitaxel concentration > 0.19 µmol/L was significantly correlated with a reduction in neutrophil count (r2 = 0.23, P = 0.00062). Specifically, a duration of > 8.6 h was a predictor of a decreased neutrophil count. Conclusion: The decrease in neutrophils induced by nab-paclitaxel was significantly correlated with the duration above a total paclitaxel concentration of 0.19 µmol/L despite the use of PEG-G-CSF. [ABSTRACT FROM AUTHOR]

Recognizing the impact of climate change on the temporal and spatial variations in forests is crucial for sustaining them in the face of climate change. Here, we aimed to: (1) analyses the greening and browning trends in HFs based on time-series VIs, focusing on foliage trends observable through remote sensing; (2) explore the temporal and spatial trends of climatic factors; and (3) identify the relationship between the greening and browning of the forests and climate change. In this regard, we generated an 18-year (2003–2020) time series with an 8-day temporal resolution, encompassing MODIS vegetation indices (EVI and NDVI) and four climatic and hydrological factors: day and night temperature (LSTd, LSTn), precipitation (PRE), and actual evapotranspiration (ET). Subsequently, we used spatial statistical methods for analysis. EVI and NDVI trend analyses over the study period revealed greening in 77.02% and 92.32% of the study area, respectively. The statistical test confirmed significance (p < 0.05) for this greening in around 41.59% (EVI trend) and 75.11% (NDVI trend). Regarding the climatic and hydrological factors, PRE exhibited a declining trend, whereas LSTd, LSTn, and ET showed an increasing trend. Conclusively, the results reveal a positive correlation, ranging between 0.7 and 0.9, between temperature (LSTd and LSTn) and vegetation indices, indicating a close association between the greening process in HFs and rising temperatures (LSTd and LSTn). These results contribute to the understanding of the ecological resilience of HFs, aiding in the development of strategies to enhance ecosystems' resilience in the face of climate change. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study is to investigate the validity and reliability of the Selective Control of Upper Extremity Scale (SCUES) in patients with stroke. Materials and Methods: Forty-two patients with stroke aged 18–75 years, were included in the study. Patients were video-recorded while SCUES was administered. The videos were scored to determine the intrarater and inter-rater reliability. Fugl Meyer Assessment of Upper Extremity (FMA-UE), Box and Block test (BBT) and Brunnstrom Stages of Motor Recovery were measured to evaluate validity of SCUES. Spearman correlation analysis was used to assess the validity of SCUES. Intraclass correlation coefficient (ICC), Kappa (κ) and weighted Kappa (κw) were calculated to determine intrarater and inter-rater reliability. Results: There were significant positive high correlations between SCUES and FMA-UE and BBT and Brunnstrom upper extremity proximal and distal values (rho = 0.944, p = 0.01; rho = 0,875, p = 0.01; rho = 0.84, p = 0.01, rho = 0.82, p = 0.01; respectively) showing validity of SCUES. The ICC value of inter-rater reliability of SCUES was 0,99 (%95 CI: 0,989-0,997, p = 0,001) showing excellent reliability. κ and κ w values for inter-rater and intrarater reliability of individual SCUES items were above 0.7 indicating excellent reliability. ICC of SCUES and FMA-UE indicated excellent intrarater reliability (ICC = 0,99; %95 CI: 0,989–0,997, p = 0,001; ICC = 0.943; %95 CI: 0.9–0.97, p = 0,0001, consecutively). Conclusions: SCUES showed similar validity and reliability with FMA-UE and SCUES can be used in the evaluation of upper extremity selective motor control in patients with stroke. IMPLICATIONS FOR REHABILITATION: The Selective Control of Upper Extremity Scale (SCUES) stands out from existing outcome assessment tools for upper extremity motor control in stroke patients by enabling the evaluation of various quantifiers of selective motor function. SCUES assesses not only the accompanying movements of the trunk or additional joints beyond the targeted joint but also the presence of mirror movements, along with assessing the limited dynamic range of motion. SCUES appears valid and reliable in patients with stroke, indicating its potential use in evaluating upper extremity selective motor control and assessing the outcomes of interventions aimed at enhancing selective motor control. [ABSTRACT FROM AUTHOR]

Security and privacy have become major issues. Although no one seriously claims that privacy and security are identical, most sources treat them as if they are. Differentiating between privacy and security is essential, for example, in those situations where there is a trade-off between the two concepts, or when a regulator imposes rules concerning privacy or security or both. Moreover, differentiation can support the selection of proper means of defence. Therefore, there is a gap between the need to differentiate and the availability of an appropriate methodology to do so. This article introduces a robust methodology for differentiating between privacy and security, based on four basic components: the target of the attack, the nature of the cost, the presence of a trade-off, and the existence of consent. Since many situations involve both privacy and security, the methodology ranks their level independently. The research addresses several goals: alignment with the prevalent definitions and concepts in the literature; achieving objectivity; and a non-dichotomous classification. The application of this methodology was demonstrated in an empirical study with $n = 155$ n = 155 valid participants. The empirical study indicated significant differences between intuitive classification and methodology-based classification, thereby emphasising the need for this methodology. [ABSTRACT FROM AUTHOR]

Purpose: This study explores the feasibility, acceptability, and treatment outcomes of Empower@Home, a digital cognitive behavioral therapy intervention for geriatric depression. Method: Participants with depressive symptoms (PHQ-9 ≥ 5) underwent a nine-session remote intervention supported by a lay coach (N = 103). Results: Most participants (91%) completed all nine sessions (mean = 8.5). According to the Treatment Evaluation Inventory, participant attitudes toward the program were largely positive. A medium effect in depression reduction was observed following the intervention (Cohen's d = 0.75) and at a 10-week follow-up (Cohen's d = 0.60). This reduction was large (Cohen's d = 1.31 at posttest and Cohen's d = 1.18 at 10-week follow-up) among those who presented with moderate depression at baseline (PHQ-9 ≥ 10). Significant improvements were also reported in anxiety, social isolation, loneliness, and behavioral activation. Discussion: Empower@Home is a promising, acceptable digital mental health intervention for treating depression in older adults. [ABSTRACT FROM AUTHOR]

This article employs dynamic recognition of acceleration points to determine velocity thresholds for different deformation stages of landslides. It proposes a dimensionless time parameter, tw, and analyzes over 60 slope cases using probability statistical methods to establish landslide threshold levels. Finally, based on various threshold determination methods and the dimensionless time threshold method, it establishes multiple early warning threshold indicators for rocky slopes along National Highway G312. The study validates the applicability of the dimensionless time threshold method by using landslide cases outside the statistical slope dataset. The research indicates the following: (1) The "two-sample t-test" method determines tw = 0.24 and tw = 0.39 as the first-level and second-level early warning thresholds for slopes, respectively. (2) The "ROC curve" method calculates an AUC of 0.85, confirming the high reliability and accuracy of the dimensionless time threshold method. (3) Using the dimensionless time threshold method, the analysis determines the first-level and second-level landslide thresholds for a landslide in Zhenggeer Banner, Ordos City, Inner Mongolia, as 84.03 h and 91.53 h, respectively. The second-level threshold provides an early warning time only 2.7 h ahead of the actual landslide time, demonstrating timely and accurate landslide prediction. [ABSTRACT FROM AUTHOR]

Accurate software development effort estimation (SDEE) is vital for effective project planning. Due to the complex nature of software projects, estimating development effort has become a challenging task that requires careful consideration, especially in the early project phases, to prevent overestimation and underestimation. Accurate effort estimation helps to estimate the cost of a developing project through effective resource management and project budgeting for manpower. Despite numerous effort estimation models introduced over the past two decades, achieving a satisfactory level of accuracy remains elusive. The adaptive neuro-fuzzy inference system (ANFIS) model gains more popularity for estimation tasks due to its rapid learning capacity, ability to represent complex nonlinear structures, and adaptability to improperly specified data. This study presents a model called the Two-Stage optimization technique for Software Development Effort Estimation (TSoptEE). Initially, it performs feature selection through a multi-objective improved binary social network search (SNS) algorithm and then optimizes the ANFIS tunable parameters through an improved SNS algorithm to enhance the accuracy of SDEE. The proposed TSoptEE model is compared against existing estimation models and evaluated using seven performance measures over nine software datasets. The obtained results are promising in terms of accuracy and statistical significance tests. This implies that the proposed model can significantly enhance the accuracy of effort estimation. [ABSTRACT FROM AUTHOR]

To unravel how within-person psychological processes fluctuate in daily life, and how these processes differ between persons, intensive longitudinal (IL) designs in which participants are repeatedly measured, have become popular. Commonly used statistical models for those designs are multilevel models with autocorrelated errors. Substantive hypotheses of interest are then typically investigated via statistical hypotheses tests for model parameters of interest. An important question in the design of such IL studies concerns the determination of the number of participants and the number of measurements per person needed to achieve sufficient statistical power for those statistical tests. Recent advances in computational methods and software have enabled the computation of statistical power using Monte Carlo simulations. However, this approach is computationally intensive and therefore quite restrictive. To ease power computations, we derive simple-to-use analytical formulas for multilevel models with AR(1) within-person errors. Analytic expressions for a model family are obtained via asymptotic approximations of all sample statistics in the precision matrix of the fixed effects. To validate this analytical approach to power computation, we compare it to the simulation-based approach via a series of Monte Carlo simulations. We find comparable performances making the analytic approach a useful tool for researchers that can drastically save them time and resources. [ABSTRACT FROM AUTHOR]

Recently, Asparouhov and Muthén Structural Equation Modeling: A Multidisciplinary Journal, 28, 1–14, (2021a, 2021b) proposed a variant of the Wald test that uses Markov chain Monte Carlo machinery to generate a chi-square test statistic for frequentist inference. Because the test's composition does not rely on analytic expressions for sampling variation and covariation, it potentially provides a way to get honest significance tests in cases where the likelihood-based test statistic's assumptions break down (e.g., in small samples). The goal of this study is to use simulation to compare the new MCM Wald test to its maximum likelihood counterparts, with respect to both their type I error rate and power. Our simulation examined the test statistics across different levels of sample size, effect size, and degrees of freedom (test complexity). An additional goal was to assess the robustness of the MCMC Wald test with nonnormal data. The simulation results uniformly demonstrated that the MCMC Wald test was superior to the maximum likelihood test statistic, especially with small samples (e.g., sample sizes less than 150) and complex models (e.g., models with five or more predictors). This conclusion held for nonnormal data as well. Lastly, we provide a brief application to a real data example. [ABSTRACT FROM AUTHOR]

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Copyright of Current Research in Dental Sciences is the property of Ataturk University Coordinatorship of Scientific Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background/Objectives: Emergency Medical Response Systems (EMRSs) play a vital role in delivering medical aid during natural and man-made disasters. This quantitative research delves into the analysis of risk and effectiveness within Serbia's Emergency Medical Services (EMS), with a special emphasis on how work organization, resource distribution, and preparedness for mass casualty events contribute to overall disaster preparedness. Methods: The study was conducted using a questionnaire consisting of 7 sections and a total of 88 variables, distributed to and collected from 172 healthcare institutions (Public Health Centers and Hospitals). Statistical methods, including Pearson's correlation, multivariate regression analysis, and chi-square tests, were rigorously applied to analyze and interpret the data. Results: The results from the multivariate regression analysis revealed that the organization of working hours (β = 0.035) and shift work (β = 0.042) were significant predictors of EMS organization, explaining 1.9% of the variance (R2 = 0.019). Furthermore, shift work (β = −0.045) and working hours (β = −0.037) accounted for 2.0% of the variance in the number of EMS points performed (R2 = 0.020). Also, the availability of ambulance vehicles (β = 0.075) and financial resources (β = 0.033) explained 4.1% of the variance in mass casualty preparedness (R2 = 0.041). When it comes to service area coverage, the regression results suggest that none of the predictors were statistically significant. Based on Pearson's correlation results, there is a statistically significant correlation between the EMS organization and several key variables such as the number of EMS doctors (p = 0.000), emergency medicine specialists (p = 0.000), etc. Moreover, the Chi-square test results reveal statistically significant correlations between EMS organization and how EMS activities are conducted (p = 0.001), the number of activity locations (p = 0.005), and the structure of working hours (p = 0.001). Conclusions: Additionally, the results underscore the necessity for increased financial support, standardized protocols, and enhanced intersectoral collaboration to strengthen Serbia's EMRS and improve overall disaster response effectiveness. Based on these findings, a clear roadmap is provided for policymakers, healthcare administrators, and EMS personnel to prioritize strategic interventions and build a robust emergency medical response system. [ABSTRACT FROM AUTHOR]

Background/Objectives: Fibromyalgia (FM) affects up to 5% of the global population and is a leading cause of significant social and economic consequences. Higher health literacy leads to better understanding of treatment plans, improved self-care, and adherence to recommendations, enhancing overall quality of life. This study aims to determine whether different aspects of the disease are influenced by patients' education level and literacy when applying the same therapy and to assess how patients' perceptions of therapy outcomes vary over time based on their educational level. Methods: This study involved 140 fibromyalgia (FM) patients diagnosed using the 2016 ACR criteria, with 128 completing the study. Participants attended three visits over 28 weeks and were stratified into four groups based on educational level: Group 1—secondary school or less; Group 2—high school graduates; Group 3—college graduates; Group 4—university graduates. Patients were assigned to groups (n = 32, 32, 30, and 34, respectively) after the initial evaluation (T0). The treatment was assessed (T1) and followed up three months later (T2) to evaluate changes in functional status and quality of life. All patients underwent the same rehabilitation program, cognitive therapy, and kinesiotherapy. Results: Significant differences in disease impact on the patient's life (FIQ total score) were observed between groups from the initial evaluation (p = 0.000). The overall FIQ score was notably affected by non-pharmacological therapy in patients with higher education. These differences continued to be significant even three months after the treatment ended (p = 0.000). Functional limitations were evident from the start (p = 0.000) and improved significantly post-treatment in patients with higher education (p = 0.000). However, subjective evaluations of disease impact (assessed by the first item of FIQ) did not consistently align with objective findings (hand grip strength). Functional limitations did not significantly differ in subjective evaluations (F1Q1) across educational levels (p = 0.045), and inverse correlations were noted between functional status and SF-12 well-being components. Conclusions: This study underscores that higher education enhances fibromyalgia management and functional outcomes, particularly when combined with non-pharmacological therapies. However, subjective perceptions may not always align with objective improvements, indicating that factors beyond education, such as personal and external influences, also impact disease management. Thus, improving health literacy through educational interventions could further benefit FM patients' quality of life. [ABSTRACT FROM AUTHOR]