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The study of functional traits and their relationship to trade-offs has provided valuable insights into how plants adapt to environmental changes. Nonetheless, further research is necessary to fully comprehend the subtropical montane trade-off patterns in moss functional traits and the impact of environmental gradients on the correlation of these traits. To address this gap, we conducted a study of 11 moss species (7 families, 9 genera) in 54 patches from two subtropical mountain ranges, examining 40 functional traits related to photosynthesis, nutrients, water retention, and architecture. Through principal component analysis (PCA) and bi-variate correlation analysis, our findings reveal a strong correlation between light capture and nutrient assimilation strategies, as evidenced by the coordination between the traits of light capture and nutrient per area along a main principal component. Interestingly, we observed a trend towards smaller leaves and leaf cells in species with higher capacity for photosynthesis and metabolism, consistent with global trait spectra in vascular plants. However, we found that the trade-off between light capture and nutrient assimilation strategies was independent of water-holding capacity at shoot levels. Instead, we found that water-holding capacity was closely associated with nutrient utilization, energy metabolism, chlorophyll synthesis, and the primary process of photosynthesis. Our results highlight the multiple dimensions of functional traits in subtropical montane mosses and demonstrate that variation in these traits is driven by water availability, slope, and canopy density. Overall, our study provides valuable insights into the co-variation of moss traits and how environmental changes may impact mosses and ecosystem function. [ABSTRACT FROM AUTHOR]

Objective: To determine if caregivers would be able to successfully perform in home lung ultrasounds on their children without direct supervision after undergoing a basic tutorial that would allow for expert interpretation. Methods: A prospective exploratory single‐center cohort study was conducted on patients (0–18 years) presenting to a pediatric emergency department with a respiratory complaint or COVID‐related illness. Caregivers underwent a brief hands‐on session and were instructed to scan the lungs daily for 7 days. Images were assessed using a modified POCUS IQ score. Descriptive statistics were used to describe the data and bivariate analysis was used to compare groups. Results: Eighteen patients were enrolled; the average age of the parent scanner was 31.9 years and 78% were female. Of all participants, 77.8% scanned on day one. Parents were able to successfully perform some part of the daily scan session for an average of 3.8 out of 7 days. The average POCUS IQ score overall was 6.7 (out of 12). Conclusion: Our study demonstrates the feasibility and acceptability of caregiver ability to obtain adequate lung ultrasound images, at home under no guidance, using the Butterfly iQ probe. Further studies are needed to investigate the accessibility of ultra‐portable ultrasound and the ability to integrate with the at‐home hospital model, specifically in the pediatric population. [ABSTRACT FROM AUTHOR]

Freight transportation, dominated by trucks, is an integral part of trade and production in the USA. Given the prevalence of large truck crashes, a comprehensive investigation is imperative to ascertain the underlying causes. This study analyzed 2017–2021 Texas crash data to identify factors impacting large truck crash rates and injury severity and to locate high-risk zones for severe incidents. Logistic regression models and bivariate analysis were utilized to assess the impacts of various crash-related variables individually and collectively. Heat maps and hotspot analysis were employed to pinpoint areas with a high frequency of both minor and severe large truck crashes. The findings of the investigation highlighted night-time no-passing zones and marked lanes as primary road traffic control, highway or FM roads, a higher posted road speed limit, dark lighting conditions, male and older drivers, and curved road alignment as prominent contributing factors to large truck crashes. Furthermore, in cases where the large truck driver was determined not to be at fault, the likelihood of severe collisions significantly increased. The study's findings urge policymakers to prioritize infrastructure improvements like dual left-turn lanes and extended exit ramps while advocating for wider adoption of safety technologies like lane departure warnings and autonomous emergency braking. Additionally, public awareness campaigns aimed at reducing distracted driving and drunk driving, particularly among truck drivers, could significantly reduce crashes. By implementing these targeted solutions, we can create safer roads for everyone in Texas. [ABSTRACT FROM AUTHOR]

Background and Aim: Though emergency medical services (EMS) respond to all types of emergency calls, they do not always result in the patient being transported to the hospital. This study aimed to explore the determinants influencing emergency call‐response‐based conveyance decisions in a Middle Eastern ambulance service. Methods: This retrospective quantitative analysis of 93,712 emergency calls to the Hamad Medical Corporation Ambulance Service (HMCAS) between January 1 and May 31, 2023, obtained from the HMCAS electronic system, was analyzed to determine pertinent variables. Sociodemographic, emergency dispatch‐related, clinical, and miscellaneous predictors were analyzed. Descriptive, bivariate, ridge logistic regression, and combination analyses were evaluated. Results: 23.95% (N = 21,194) and 76.05% (N = 67,285) resulted in patient nontransport and transportation, respectively. Sociodemographic analysis revealed that males predominantly activated EMS resources, and 60% of males (n = 12,687) were not transported, whilst 65% of females (n = 44,053) were transported. South Asians represented a significant proportion of the transported patients (36%, n = 24,007). "Home" emerged as the primary emergency location (56%, n = 37,725). Bivariate analysis revealed significant associations across several variables, though multicollinearity was identified as a challenge. Ridge regression analysis underscored the role of certain predictors, such as missing provisional diagnoses, in transportation decisions. The upset plot shows that hypertension and diabetes mellitus were the most common combinations in both groups. Conclusions: This study highlights the nuanced complexities governing conveyance decisions. By unveiling patterns such as male predominance, which reflects Qatar's expatriate population, and specific temporal EMS activity peaks, this study accentuates the importance of holistic patient assessment that transcends medical histories. [ABSTRACT FROM AUTHOR]

AbstractUnsheltered homelessness is associated with a myriad of barriers including unmet medical, mental health, physical, and social needs. This study evaluated a Street Medicine approach to examine and reduce the complex barriers to care by providing coordinated mobile services. Participants were urban adults with mental health, substance use, or co-occurring issues who were experiencing unsheltered homelessness. Services provided were integrated, person-centered, and trauma-informed based on participants’ needs. The range of offered services included psychiatric and medical care, case management, housing support, mental health, and substance abuse treatment, as well as a variety of supportive services. Structured baseline interviews (N = 295) and 6-month follow-ups (N = 118) were conducted, and a range of outcomes were examined including quality of life, behavioral and physical health indicators, substance use, and recovery domains. Using a bivariate analysis approach, promising results were seen at follow-up including improved quality of life, reduced PTSD symptom severity, reduced substance use, and reduced risk behavior. Several significant interactions were also discovered including the impact of housing status on quality of life and recovery. Race and gender differences were examined and improvement across outcomes differed by race/ethnicity. The results suggest that mobile services targeting unsheltered persons are viable options towards improved health, health equity, and quality of life. Further research should continue to evaluate interventions and ways to reduce stigma, discrimination, and barriers to treatment for unsheltered persons experiencing homelessness.

Diabetes mellitus (DM) is a prevalent disorder that affects the endocrine and metabolic systems. Among the various complications associated with DM, diabetic bladder dysfunction (DBD) is the most frequently occurring genitourinary complication. The presence of DBD can lead to complications that affect the upper urinary tract, significantly impacting the quality of life for individuals with DM. Therefore, it is crucial to identify early risk factors for DBD and predict its onset. Given the absence of studies involving bladder dysfunction in patients with type 2 diabetes mellitus (T2DM) in Syria, this study aims to examine the risk factors associated with bladder dysfunction in T2DM patients and develop a predictive model to identify DBD early. Patients diagnosed with T2DM were enrolled in six endocrinology centers spread across four Syrian provinces between January 2018 and December 2023. Factors that showed an association with DBD in the bivariate analysis, with a significance level of p < 0.05, were included in a multiple logistic regression analysis. The logistic regression analysis was used to identify independent risk factors and develop a prediction model. The receiver operating characteristic (ROC) curve was used to assess the predictive performance of the identified risk factors and the prediction model for DBD. One hundred and eighty-four patients were included in this study, and they were divided into the DBD group (n = 88) and the non‐DBD group (n = 96). Seven variables showed significance in the bivariate analysis. Furthermore, the multiple logistic regression analysis revealed that age (OR [95% CI]: 0.981 [0.614 − 1.337]), p < 0.007; diabetic peripheral neuropathy (DPN) (OR [95% CI]: 1.421 [1.027 − 3.308]), p = 0.03; glycated hemoglobin (HbA1c) (OR [95% CI]: 0.942 [0.821 − 1.141]), p = 0.042; and percentage of monocyte (Mono%) (OR [95% CI]: 1.109 [0.812 − 1.258]), p = 0.031 were independent risk factors for DBD. Analysis of the ROC curve revealed that the area under the curve (AUC) for age, DPN, HbA1c, and Mono were 0.703, 0.541, 0.613, and 0.836, respectively. Age, DPN, HbA1c, and Mono% were risk factors for DBD. The prediction model constructed based on the four risk factors had a good predictive value for predicting the occurrence of DBD. [ABSTRACT FROM AUTHOR]

Adolescent pregnancy is a critical public health issue, particularly in developing regions like Nepal, where it poses significant risks to maternal and child health and perpetuates the cycle of poverty. This study focused on the marginalized Chepang community, which is endangered and faces unique challenges. The study aimed to explore the factors associated with adolescent pregnancy among Chepang women in Ichchhakamana Rural Municipality, Chitwan, Nepal, and also assessed their reproductive health-seeking behavior. A cross-sectional analytical study was conducted with 217 Chepang women aged 15–20 years, and data was collected through face-to-face interviews using a semi-structured questionnaire. The collected data was entered and analyzed using IBM SPSS version 20. Descriptive statistical tools like frequency, and percentage were used to express the results. Pearson chi-square test, Fisher exact test were used for bivariate analysis to determine the presence of association between the dependent and independent variables. Binary logistic regression was used for further analysis. The prevalence of current adolescent pregnancy was 8.3%(18), while one-fourth had experienced prior pregnancies during their adolescence. Factors significantly associated with adolescent pregnancy included lack of education among the women and their mothers, as well as living in joint families. Additionally, number of antenatal visits and consumption of iron tablets seemed to be lower among Chepang women in comparison to the national data. Chepang women had high adolescent pregnancy rates, with low education level and joint family structure being important risk factors for it. They also had inadequate reproductive health seeking behavior. Addressing these problems requires strategies that prioritize education and raise awareness about reproductive health. [ABSTRACT FROM AUTHOR]

This study aims to introduce a bivariate Log-Normal regression model and to develop a technique for parameter estimation and hypothesis testing. We term the model Bivariate Log-Normal Regression (BLNR). The estimation procedure is conducted by the standard Maximum Likelihood Estimation (MLE) employing the Newton-Raphson method. To perform hypothesis testing, we adapt the Maximum Likelihood Ratio Test (MLRT) for simultaneous testing with test statistics which, for large n, follows Chi-Square distribution with degrees of freedom p. In addition, the partial testing is derived from a central limit theorem which results in a Z-test statistic. [ABSTRACT FROM AUTHOR]

Cronobacter sakazakii (Cz) infections linked with powdered milk/flour (PMF) are on the increase in recent times. The current study aimed at assessing worldwide and regional prevalence of Cz in PMF. Cz-PMF-directed data were conscientiously mined in four mega-databases via topic-field driven PRISMA protocol without any restriction. Bivariate analysis of datasets was conducted and then fitted to random-intercept logistic mixed-effects regressions with leave-one-study-out-cross-validation (LOSOCV). Small-study effects were assayed via Egger's regression tests. Contributing factors to Cz contamination/detection in PMF were determined using 1000-permutation-bootstrapped meta-regressions. A total of 3761 records were found out of which 68 studies were included. Sample-size showed considerable correlation with Cz positivity (r = 0.75, p = 2.5e−17), Milkprod2020 (r = 0.33, p = 1.820e−03), and SuDI (r = − 0.30, p = 4.11e−03). The global prevalence of Cz in PMF was 8.39% (95%CI 6.06–11.51, PI: 0.46–64.35) with LOSOCV value of 7.66% (6.39–9.15; PI: 3.10–17.70). Cz prevalence in PMF varies significantly (p < 0.05) with detection methods, DNA extraction method, across continents, WHO regions, and world bank regions. Nation, detection method, world bank region, WHO region, and sample size explained 53.88%, 19.62%, 19.03%, 15.63%, and 9.22% of the true differences in the Cz prevalence in PMF, respectively. In conclusion, the results indicated that national will power in the monitoring and surveillance of Cz in PMF matched with adequate sample size and appropriate detection methods will go a long way in preventing Cz contamination and infections. [ABSTRACT FROM AUTHOR]

Background: Data taken from tertiary referral hospitals in Indonesia suggested readmission rate in older population ranging between 18.1 and 36.3%. Thus, it is crucial to identify high risk patients who were readmitted. Our previous study found several important predictors, despite unsatisfactory discrimination value. Methods: We aimed to investigate whether comprehensive geriatric assessment (CGA) -based modification to the published seven-point scoring system may increase the discrimination value. We conducted a prospective cohort study in July–September 2022 and recruited patients aged 60 years and older admitted to the non-surgical ward and intensive coronary care unit. The ROC curve was made based on the four variables included in the prior study. We conducted bivariate and multivariate analyses, and derived a new scoring system with its discrimination value. Results: Of 235 subjects, the incidence of readmission was 32.3% (95% CI 26–38%). We established a new scoring system consisting of 4 components. The scoring system had maximum score of 21 and incorporated malignancy (6 points), delirium (4 points), length of stay ≥ 10 days (4 points), and being at risk of malnutrition or malnourished (7 points), with a good calibration test. The C-statistic value was 0.835 (95% CI 0.781–0.880). The optimal cut-off point was ≥ 8 with a sensitivity of 90.8% and a specificity of 54.7%. Conclusions: Malignancy, delirium, length of stay ≥ 10 days, and being at risk of malnutrition or malnourished are predictors for 30-day all-cause unplanned readmission. The sensitive scoring system is a strong model to identify whether an individual is at higher risk for readmission. The new CGA-based scoring system had higher discrimination value than that of the previous seven-point scoring system. [ABSTRACT FROM AUTHOR]

Background: Disposal of children's stools is often neglected in Indian sanitation programs, putting them at higher risk of diseases transmitted through the fecal-oral route. Therefore, the current study aims to identify the socioeconomic and demographic factors associated with the unsafe disposal of child stool in India and to estimate the geographical variation in unsafe disposal. Methods: The study used 78,074 births under two years from the fifth round of the National Family Health Survey (2019–21). Descriptive statistics, bivariate analysis with the chi-square test, and a four-level hierarchical logistic regression model were applied to accomplish the study objectives. Results: Findings revealed a 61.3% prevalence of unsafe stool disposal nationwide, significantly varying between rural (45%) and urban (67%) areas. Multilevel logistic regression highlighted that mother's education, wealth quintile, and sanitation facility were significant predictors of unsafe disposal of child stools. Random intercept statistics revealed a substantial geographical unit-level variance in unsafe stool practice in India. Conclusion: The study emphasizes the widespread unsafe disposal of child stool among Indian mothers with young children below two years, and the study underscores a range of contributing factors, including education, media exposure, prosperity, water availability, and sanitation. It also accentuates the significance of the geographical variance in the unsafe disposal of child stool in India, particularly at the household level, followed by the community level. Hence, the findings underscore the importance of focused interventions, including targeted household-level poverty alleviation programs, initiatives to enhance sanitation and water facilities, and community-level public health awareness programs. [ABSTRACT FROM AUTHOR]

Background: Children with hearing loss have been found to have significantly more behavioral and emotional challenges than their typically hearing peers, though these outcomes are variable at the individual level. Working memory deficits have been found to relate to executive functioning and overall emotion regulation, leading to behavior challenges. Language development is essential for development of social relationships and communicating one's needs and this may lead to distress when children cannot communicate effectively. Based on prior findings in children with hearing loss and their typically hearing peers, working memory and language skills were hypothesized to be related to parent and teacher report of socio-emotional functioning. Methods: Participants were 35 children with hearing loss (66% female, M = 5.17 years old, SD = ±1.97) whose language, working memory, and socio-emotional functioning were evaluated during the course of treatment and educational planning. Results: Bivariate analyses indicated that working memory was related to a number of socio-emotional domains (e.g., functional communication, atypicality, withdrawal), as were language scores (e.g., social skills, inattention). The direction of these associations was such that stronger working memory and language skills were related to more regulated socio-emotional functioning. Conclusions: This study is limited in generalizability by size and the relative homogeneity of the sample. A call to action of the current study includes more education with regard to profiles and presentations of children with hearing loss, and an early focus on socio-emotional learning to foster the development of regulatory skills. [ABSTRACT FROM AUTHOR]

INTRODUCTION: The COVID-19 pandemic affected numerous subpopulations of people in unique ways. This study evaluated the impact of the COVID-19 pandemic on the mental health status of Broward County's aging lesbian, gay, bisexual, transgender, and queer (LGBTQ) seniors and identified strengths, weaknesses, and opportunities for interventions to enhance positive mental health outcomes. The study was performed from April 2021 through July 2021. METHODS: Online surveys measuring anxiety, depression, social support, and resilience were delivered by email to 47 residents of Wilton Manors, Florida. Study data were collected and collated using research electronic data capture tools with bivariate analysis using the Mann-Whitney test and generalized linear regression. RESULTS: Bivariate analysis showed that males scored significantly higher on the social interactions subscale of the Duke Social Support Index, indicating greater social support, yet there was not a significant difference with sexual orientation or living situation. Multivariate analysis revealed differences for several dependent variables including anxiety and depression reporting being lower in LGBTQ individuals. DISCUSSION: This study provides important insight into specific mental health challenges faced by Broward County's LGBTQ seniors, which can be applied to other LGBTQ populations across the globe. CONCLUSION: Using the results, targeted interventions can be developed to help improve mental health outcomes during periods of isolation for all individuals. [ABSTRACT FROM AUTHOR]

Background: The knowledge of ovulatory cycle (KOC) is the basis for natural family planning methods. The absence of knowledge is a notable issue since the ovulatory cycle plays a crucial role in reproductive health and empowers women to make informed decisions that influence their lives. This study examines the knowledge of the ovulatory cycle among reproductive tribal women in India and its demographic and socio-economic determinants. Methods: The data were derived from the National Family Health Survey conducted in 2019–2021. The effective sample size for the present study was 1,01,914 tribal women aged 15–49 years in India. Descriptive statistics along with bivariate analysis were conducted to find the preliminary results. Additionally, multivariable binary logistic regressions were conducted to determine the likelihood of KOC among tribal women across different characteristics. We conducted statistical analysis in STATA 17.0 (StataCorp) and used ArcGIS 10.8.2 for spatial mapping. Results: Out of 1,01,914 tribal women, 78.8 per cent lack correct knowledge of the ovulatory cycle. Notably, Education level significantly influences KOC, with secondary education showing higher odds of KOC (AOR: 1.24, 95% CI:1.006–1.528) compared to no education. Christian women exhibit lower odds of having KOC (AOR: 0.749, 95% CI:0.564–0.996) compared to Hindu women. Husband/partner's education level shows a strong association, with higher-educated partners correlating with higher odds of KOC (AOR: 2.501, 95% CI: 1.807–3.461) for higher education. Knowledge of any contraceptive method and current contraceptive use type are strongly associated with KOC. Additionally, rural residence negatively influences KOC (AOR: 1.545, 95% CI: 1.236–1.932), while exposure to mass media has a positive effect (AOR: 1.152, 95% CI: 0.975–1.362) albeit modest. Conclusion: The study highlights the need for targeted educational and awareness programs to improve KOC among tribal women in India. By addressing factors such as education, religious influences, and place of residence, we can empower these women to make informed decisions about their reproductive health, ultimately enhancing their overall well-being and quality of life. This knowledge is not only a foundation for natural family planning but also a key driver of women's agency and autonomy in shaping their lives. [ABSTRACT FROM AUTHOR]

Background: Intimate partner violence (IPV) is a major public health concern that mostly impacts women's health and social well-being. This study explored how the various types of IPV (physical, sexual, and emotional) including women's experience of childhood violence influence their help-seeking behavior in sub-Saharan Africa (SSA). Methods: We analyzed data from the most recent Demographic and Health Surveys (DHS), carried out between 2018 and 2021. The outcome variable was help-seeking behavior. Descriptive and inferential analyses were carried out. The descriptive analysis looked at the bivariate analysis between the country and outcome variables. Using a binary logistic regression model, a multivariate analysis was utilized to determine the association between the outcome variable and the explanatory variables. Binary logistic regression modelling was used based on the dichotomous nature of the outcome variable. The results were sample-weighted to account for any under- or over-sampling in the sample. Results: The proportion of women who sought help for intimate partner violence was 36.1 percent. This ranged from 19.2 percent in Mali to 49.6 percent in Rwanda. Women who experienced violence in childhood (OR = 0.75, CI = 0.69, 0.82) have a lower likelihood of seeking help compared to those who did not experience violence in their childhood. Women who had experienced emotional violence (OR = 1.94, CI = 1.80, 2.08), and physical violence (OR = 1.37, CI = 1.26, 1.48) have a higher likelihood of seeking help compared to those who have not. Women with secondary educational levels (aOR = 1.13, CI = = 1.02, 1.24) have a higher likelihood of seeking help compared to those with no education. Cohabiting women have a higher likelihood (aOR = 1.22, CI = 1.10, 1.35) of seeking help compared to married women. Conclusion: The study highlights the importance of early identification of IPV and fit-for-purpose interventions to demystify IPV normalization to enhance women's willingness to seek help. The study's findings suggest that education is crucial for increasing women's awareness of the legalities surrounding IPV and available structures and institutions for seeking help. [ABSTRACT FROM AUTHOR]

Age at menarche is not only a parameter that signifies biological characteristics for women but is also considered as an indicator to measure the quality of life of a population. Moreover, menarche has significant implications on women's health and information about menarcheal age is crucial for health policymakers. However, little is known about the trends in menarcheal age in India. Thus, in order to fill this research gap, the present study aimed to explore the age at menarche, its trend and regional heterogeneity among Indian women. A birth cohort approach was used by polling data from the 1st (1992–93), 4th (2015–16) and 5th (2019–21) rounds of NFHS. Descriptive statistics and bivariate analyses were performed to present the distribution of age at menarche and mean age at menarche across birth cohorts and each category of covariates. A multiple linear regression model was fitted to examine the trend in age at menarche and further to investigate the association of covariates with menarcheal age among Indian women. The analysis demonstrated that a majority of women (66.2%) attained menarche between the ages of 13–14 years. Moreover, about 17.2% of women experienced an early age at menarche, whereas 16.7% of women had a late age at menarche. The mean age at menarche for the sampled women was 13.49 years. The analysis also observed a secular declining trend in menarcheal age among Indian women and a significant variation in the mean age at menarche across birth cohorts. It also highlighted significant socio-economic patterning in menarcheal age among women. [ABSTRACT FROM AUTHOR]

In many real-life scenarios, one variable is observed only if the other concomitant variable or the set of concomitant variables (in the multivariate scenario) is truncated from below, above, or from a two-sided approach. Hidden truncation models have been applied to analyze data when bivariate or multivariate observations are subject to some form of truncation. While the statistical inference for hidden truncation models (truncation from above) under the frequentist and the Bayesian paradigms has been adequately discussed in the literature, the estimation of a two-sided hidden truncation model under the Bayesian framework has not yet been discussed. In this paper, we consider the Bayesian inference for a general two-sided hidden truncation model based on the Arnold–Strauss bivariate exponential distribution. In addition, a Bayesian model selection approach based on the Bayes factor to select between models without truncation, with truncation from below, from above, and two-sided truncation is also explored. An extensive simulation study is carried out for varying parameter choices under the conjugate prior set-up. For illustrative purposes, a real-life dataset is re-analyzed to demonstrate the applicability of the proposed methodology. [ABSTRACT FROM AUTHOR]

Background: Non-communicable diseases (NCDs) are the world's growing cause of preventable illness, disability, morbidity, and mortality which account for 71% of deaths. The aim of this study was to determine the factors associated with mortality from NCDs among persons aged 15 years and above in Zambia. Methodology: The study used data from Sample Vital Registration with Verbal Autopsy (SAVVY) 2015/16 (Zambia). A total of 3529 Verbal Autopsy were completed in the study, with only 2599 of death where among people aged 15 years and above. Three-level data analysis was applied; univariate analysis, bivariate analysis, and multivariate analysis (binary logistic regression). Findings: The overall number of deaths from NCDs was 28.81%. Stratified analysis by gender showed that deaths from NCDs were higher among women (32.60%) as compared to men (26.25%). Among all persons, dying from NCDs was associated with tobacco use, age, and education. Tobacco use was negatively associated with mortality from NCDs (adjusted odds ratio [aOR] = 0.68; 95% confidence interval [CI]: 0.48–0.98). Age was positively associated with the odds of dying from NCDs among persons aged 45–59 years (aOR = 3.87, 95% CI: 2.13–7.01), 60–74 years (aOR = 12.05, 95% CI: 6.44–22.55), and 75 + years (aOR = 15.16, 95% CI: 7.93–28.97). The likelihood of dying from NCDs was higher among persons with secondary education as compared to those with no education (aOR = 1.93, 95% CI: 1.11–3.33). Conclusion: The findings from this study suggest that public health interventions targeting NCDs need to consider behavioural factors, especially tobacco use which exposes people to second-hand smoke. We also recommend large-scale national-level studies to further examine the contribution of each factor leading to mortality from NCDs. [ABSTRACT FROM AUTHOR]

Due to the low frequency and the changes in diagnostic techniques and terminology during the last few years, only little clinical information is available on splenic stromal sarcoma (SSS). This multi‐institutional study aimed at gathering clinical cases of SSS in dogs and investigates their clinical behaviour, as well as analyse possible clinicopathological prognostic factors, including the use of adjuvant therapy. Dogs with a histologically confirmed SSS that underwent splenectomy were retrospectively included. To be included in the study, either FFPE tissue blocks or multiple tissue sections had to be available for histopathologic and immunohistochemical revision. Clinical and pathological variables, along with adjuvant therapy data, were collected. Cumulative incidence of metastatic disease was analysed through univariate and bivariate analyses. The impact of adjuvant chemotherapy on metastasis incidence and survival was assessed, considering an estimated propensity score. A total of 32 dogs were included. Among them, 22 developed metastases with an incidence of 37.5%, 59.38%, and 65.94% at 6, 12, and 24 months, respectively. Univariate analysis identified mitotic count, total scoring, and necrosis as prognostic factors. In bivariate analysis, mitotic count remained prognostic. The administration of adjuvant chemotherapy did not have an impact on metastasis incidence or survival time. The study found that dogs with SSSs are at high risk of metastasis, although a small subgroup may experience longer survival after splenectomy. Mitotic count was the only variable having a reliable prognostic impact. Adjuvant chemotherapy did not appear to decrease the incidence of metastasis or prolong survival in these dogs. [ABSTRACT FROM AUTHOR]

This study investigates the dependence between stress and component strength in a stress–strength model with bivariate stresses by incorporating a specialized Archimedean copula, specifically the 3-dimensional Clayton copula. Diverging from prior research, we consider a scenario where two stresses simultaneously influence the component strength, enhancing the realism of our model. Initially, dependent parameter estimates were obtained through moment estimation. Subsequently, maximum likelihood estimation and Bayesian estimation were employed to acquire point and interval estimates for the model parameters. Finally, numerical simulations and real-world data analysis were conducted to validate the accuracy and practicality of our proposed model. This research establishes a foundation for further exploration of general dependence structures and multi-component stress–strength correlation issues. [ABSTRACT FROM AUTHOR]

Objective: To assess the feasibility and relevancy of a systematic data collection process in characterizing factors influencing research acceptability through women during pregnancy and early postpartum. Methods: A pilot prospective observational crossover unicentric study was conducted in Est France. All the women (except language barrier and intensive care transfer) were called upon to complete a survey (33 questions). The primary endpoints were the participation rate and the completeness of the information. The secondary endpoint was the participants' sociodemographic background and preferences regarding research (bivariate analysis, P value <0.20). Results: Within the research period (February 23–March 8, 114 childbirths), 105 women fitting the criteria were called upon for the survey. The participation rate and completeness were high. The participation rate was 93% with six lost to follow‐up, and one refusal. The global filling rate was 95%. We highlighted two plausible variables of interests for research participation: women age older (P value 0.119) and level of education (P value 0.176). A sufficient cooling‐off period, the commitment of women's health providers, and the possibility to accede research results might favor women's involvement. Acceptability would appear to be decreasing when the protocol implied fetal or neonatal data collection (compared to maternal data), unless research led to a better therapeutic option. Conclusion: The data collection process is highly feasible and provide consistent data. Larger‐scale output obtention should enhance the conception and rollout of projects, first by calculating sample size based on potentials for recruitments adjusted to populations, characteristics and second by fitting the experimental design to women's expectations. Synopsis: The pilot study aims to contextualize perinatal research results, facilitate research implementation and promote evidence‐based medicine and midwifery. [ABSTRACT FROM AUTHOR]

This present study intends to investigate the pattern and predictor debt-financed emigration and its impact on migration experience and the household economy in Kerala using Kerala Migration Survey (KMS), 2018 data. Bivariate and multivariate analyses (binary logistic regression) were performed, and the debt-to-income ratio (DTI) was computed to fulfil the study's objective. The result shows that 45.52% of Keralite emigrants borrow debt regarding their socio-economic status to finance their emigration process. Debt-financed emigrants spend high costs on visas, air tickets, and passports as majority of them recruited through agents than non-debt-financed emigrants. Debt migration may not be a profitable or sustainable endeavour, as non-debt migrants' annual savings and monthly expenditures are higher than debt migrants. The debt-to-income ratio (DTI) also shows that the financial health of the debt-financed migrant household is in more severe condition than the non-debt. [ABSTRACT FROM AUTHOR]

In medical diagnostic research, it is customary to collect multiple continuous biomarker measures to improve the accuracy of diagnostic tests. A prevalent practice is to combine the measurements of these biomarkers into one single composite score. However, incorporating those biomarker measurements into a single score depends on the combination of methods and may lose vital information needed to make an effective and accurate decision. Furthermore, a diagnostic cut-off is required for such a combined score, and it is difficult to interpret in actual clinical practice. The paper extends the classical biomarkers' accuracy and predictive values from univariate to bivariate markers. Also, we will develop a novel pseudo-measures system to maximize the vital information from multiple biomarkers. We specified these pseudo-and-or classifiers for the true positive rate, true negative rate, false-positive rate, and false-negative rate. We used them to redefine classical measures such as the Youden index, diagnostics odds ratio, likelihood ratios, and predictive values. We provide optimal cut-off point selection based on the modified Youden index with numerical illustrations and real data analysis for this paper's newly developed pseudo measures. [ABSTRACT FROM AUTHOR]

Background Healthcare is a complex system with overarching challenges that arise from the different hierarchically organized structures and the diversity of people interacting and communicating in the same environment. This complexity can be addressed by strengthening healthcare professional leadership and entrepreneurship competencies. This study aims to evaluate the self-perception of healthcare professionals regarding these skills and their association with demographic characteristics and university attributes. Method A cross-sectional survey conducted online from July to December 2021 recruited 245 Lebanese health professionals from different health-related institutions (hospitals, pharmaceutical industry, health professions universities, and others) using snowball sampling. A cluster analysis was performed based on the socio-demographic and work characteristics of the participants to classify their profiles. Bivariate and multivariate analyses were performed after ensuring the adequacy of the models. Significance was set at a P value < 0.05. Results Cluster analysis showed two distinct profiles, reflected by Cluster 1 for older individuals with moderate/high management versus Cluster 2 for younger people with low management profiles. The logistic regression showed that Cluster 1 was significantly associated with higher leadership with administrative, interpersonal, and conceptual skills. The interpersonal skills represented best Cluster 1 (ORa = 7.47), followed by the conceptual skills (ORa = 4.40). Linear regression analysis showed that Cluster 1 was significantly associated with higher decision-making (β = 0.69) and higher tolerance of ambiguity (β = 1.01). No association was found between other subscales, total entrepreneurship scales, and belonging to any cluster (P > 0.05). Conclusion Although most healthcare professionals showed moderate to high perceptions related to their leadership and entrepreneurship, younger ones were aware of the need to develop these skills to meet the challenges of the complex dynamic health system. Educating students and training professionals to acquire these skills would create value in emerging health services while fostering innovation, creativity, and quality improvement in the workplace. [ABSTRACT FROM AUTHOR]

Background: Obesity prevalence is significantly higher among Latino boys than girls. Weight status at 12 mo, a significant predictor of childhood obesity, is associated with feeding practices during infancy. Objectives: The objectives were to examine breastfeeding and formula-feeding practices overall and by infant gender and to examine relations among infant gender, milk-feeding practices, and obesity risk among Latino infants over the first year of life. Methods: Latino mother-infant dyads (n = 90) were recruited from a pediatric clinic. Mothers were interviewed at regular intervals (infants aged 2, 4, 6, and 9 mo), and 24-h feeding recalls were conducted when infants were aged 6 and 9 mo. Infants' lengths and weights were retrieved from clinic records to calculate weight-for-length percentiles. A bivariate analysis was conducted to compare feeding practices by gender and mediation analysis to test whether feeding practices mediated the relation between gender and obesity risk. Results: The majority (80%) of mothers were born outside the United States. In early infancy, mixed feeding of formula and breastfeeding was common. At 6 and 9 mo of age, milk-feeding practices differed, with formula feeding more common for boys than girls. At 12 mo, 38% of infants experienced obesity risk (-85th weight-for-length percentile). Infants' obesity risk increased by 18% per 1 oz increase in powdered formula intake. Formula intake among boys was on average 1.42 oz (in dry weight) higher than that among girls, which, in turn, mediated their increased obesity risk (IERR = 1.27, 95% confidence interval: 1.02, 1.90). Conclusions: The increased obesity risk among Latino boys compared with girls at 12 mo was explained by higher rates of formula feeding at 6 and 9 mo of age. Future investigations of cultural values and beliefs in gender-related feeding practices are warranted to understand the differences in obesity risk between Latino boys and girls. [ABSTRACT FROM AUTHOR]

Background: Healthcare workers globally are at an increased risk of workplace violence. Adverse effects such as physical injury, reduced quality of care to patients and lower productivity with associated costs to employers occur. Non-reporting hinders the implementation of effective prevention. This study aimed to assess the prevalence, reasons for non-reporting of workplace violence, and knowledge of prevention prior to designing intervention strategies in the study location where there is a paucity of research on this issue. Methodology: This cross-sectional study was conducted at a Teaching Hospital in Abakaliki, Ebonyi State, for 4 weeks in 2020 among 205 employees. The hospital was stratified into Clinical, Nursing Services, Pharmacy, Laboratory, and administrative divisions; proportionate allocation and random sampling were used to select the allocated samples. A structured questionnaire was used to collect data. Descriptive statistics determined the measures of central tendencies and dispersion, while bivariate analysis of the variables was done using Pearson's Chi-Square test. Statistical significance was set at p < 0.05 with a confidence level of 95%. Results: The mean age of the participants was 39.1 ± 7.8 years. The prevalence of workplace violence was 70%. The most common reason for non-reporting was complexities and time-consuming reporting procedures (26.5%) followed by fear of reprisal on career (22.4%). The proportion of respondents with good knowledge of workplace violence prevention strategies was high (69.8%). Gender (p = 0.03), work setting (p = 0.006), previous workplace violence training (p = 0.005) and knowledge of workplace violence preventive strategies (p = 0.04) had statistically significant associations with experience of workplace violence. Conclusion: The high prevalence of workplace violence suggests a need for a workplace violence prevention program which should include a simple process of reporting and training. The improved awareness from previous training may account for the significant association with workplace violence. [ABSTRACT FROM AUTHOR]

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) 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.)

This article aimed to analyze how institutional racism at a Brazilian public university affects the lives of Black students. This mixed study was developed by applying an online self-administered questionnaire to university students who self-declared as Blacks. Quantitative data were analyzed using descriptive statistics, bivariate analysis using chi-square, and multinomial logistic regression. Qualitative data analysis was performed using IRAMUTEQ. Sixty-eight (54.4%) of the 125 respondents claimed to have suffered racism at least once within the university. We noticed that racist situations experienced by Black people within the university environment call into question the student's self-confidence and motivation, directly affecting their mental health and performance in the course. The importance of receptive groups for strengthening students' belonging was highlighted. [ABSTRACT FROM AUTHOR]

Introduction: Urinary incontinence (UI) is a common but frequently neglected problem in females, significantly impacting their psychosocial health. The available estimates are an underestimation of a bigger problem. Thus, the study aimed to estimate the prevalence of UI, its associated risk factors, its impact on the Quality of life (QoL), and barriers to treatment-seeking behaviour in women attending tertiary healthcare centres. Methods: We conducted a cross-sectional study using an opportunistic screening among women visiting a tertiary care hospital in Punjab recruited using multi-stage systematic random sampling. UI was classified as Stress (SUI), Urge (UUI), mixed (MUI), and No Incontinence (UI less than once a week or a month or no complaints) using the International Consultation on Incontinence Questionnaire–Urinary Incontinence Short Form (ICIQ-UI SF). Bivariate analyses were done using the chi-square test to test the association between the dependent and independent variables. The predictors of UI were explored using univariable and multivariable binary logistic regression and depicted using Odds ratio with 95% confidence intervals. The impact of UI on Quality of Life (QoL) was assessed using the Incontinence Impact Questionnaire-Short Form (IIQ-7), and compared among the three UI types using One-Way ANOVA. Treatment barriers were explored using open-ended questions. Results: Of the 601 women, 19.6% reported UI (stress UI: 10.1%, mixed UI: 6.0%, and urge UI: 3.5%). There were significant clinical-social factors that predicted different types of UI. The UI depicted a significant effect on QoL across all domains of the IIQ-7 (total mean score: 50.8 ± 21.9) compared to women with no incontinence (0.1 + 1.9). The score was highest in women with MUI, followed by SUI and UUI. About two-thirds of the affected women never consulted a doctor and considered it a non-serious condition or a normal ageing process. Conclusions: The present study found a high prevalence of UI through opportunistic screening across all the women's age groups with different conditions. Due to the associated stigma, clinicians should make every attempt to talk more about this, especially in women with medical conditions that can precipitate UI. Furthermore, the results call for generating more robust estimates through community-based screening studies. [ABSTRACT FROM AUTHOR]

Imaging flow cytometry (IFC) is an advanced cell-analytic technology offering rich spatial information and fluorescence intensity for multi-parametric characterization. Manual gating in cytometry data enables the classification of discrete populations from the sample based on extracted features. However, this expert-driven technique can be subjective and laborious, often presenting challenges in reproducibility and being inherently limited to bivariate analysis. Numerous AI-driven cell classifications have recently emerged to automate the process of including multivariate data with enhanced reproducibility and accuracy. Our previous work demonstrated the early development of neuromorphic imaging cytometry, evaluating its feasibility in resolving conventional frame-based imaging systems' limitations in data redundancy, fluorescence sensitivity, and compromised throughput. Herein, we adopted a convolutional spiking neural network (SNN) combined with the YOLOv3 model (SNN-YOLO) to perform cell classification and detection on label-free samples under neuromorphic vision. Spiking techniques are inherently suitable post-processing techniques for neuromorphic vision sensing. The experiment was conducted with polystyrene-based microparticles, THP-1, and LL/2 cell lines. The network's performance was compared with that of a traditional YOLOv3 model fed with event-generated frame data to serve as a baseline. In this work, our SNN-YOLO outperformed the YOLOv3 baseline by achieving the highest average class accuracy of 0.974, compared to 0.962 for YOLOv3. Both models reported comparable performances across other key metrics and should be further explored for future auto-gating strategies and cytometry applications. [ABSTRACT FROM AUTHOR]

Purpose. This study aims to evaluate schoolchildren's strengths and difficulties following crises. Methods. A pilot cross-sectional study was carried out over two months (April – May 2023) using a standardized questionnaire for data collection. A convenient sample of 130 students was recruited from a private school and included in this study. A comparison between groups was carried out on several factors: conduct problems, peer problems, emotional score, hyperactivity, and total difficulties scores. Bivariate analyses were conducted, in which the dependent variables were age, sex, and difficulty scores. Results. A significant risk for peer problems (32.2%) and emotional symptoms (22.2%) was noted among the participants. A substantial risk of clinically significant problems was associated with hyperactivity. Girls presented an increased risk of clinical problems (46.9%) associated with their emotional symptoms, significantly higher than males (25%; p=0.015), resulting in significantly more clinical problems associated with their total difficulties score compared to boys (32.3% versus 15.1%; p=0.031). Overall, most students (90.9%) had no significant problems. However, 5% had a slightly low prosocial scale, and 4.1% had lower scores, reflecting a high probability of substantial clinical risk. Conclusion. The crises in Lebanon have exacerbated existing inequalities in access to education, leading to or exacerbating school difficulties. Findings reflected the influence of parents and the school on the children’s academic performance and psychological well-being and highlighted the need for providing additional support to schools and investing in mental health services for students. [ABSTRACT FROM AUTHOR]

In a competitive and demanding world, academic stress is of increasing concern to students. This systemic, adaptive, and psychological process is composed of stressful stimuli, imbalance symptoms, and coping strategies. The SISCO-II Academic Stress Inventory (SISCO-II-AS) is a psychometric instrument validated in Chile. It evaluates stressors, symptoms, and coping, both individually and globally. For its practical interpretation, a scale is required. Therefore, this study aims to descriptively analyze the SISCO-II-AS and to obtain its corresponding scales. Employing a non-experimental quantitative approach, we administered the SISCO-II-AS to 1,049 second and third-year students from three Chilean universities, with a disproportionate gender representation of 75.21% female to 24.79% male participants. Through descriptive and bivariate analysis, we established norms based on percentiles. For the complete instrument and its subscales, significant differences by sex were identified, with magnitudes varying from small to moderate. For the full instrument and its subscales, bar scale norms by percentile and sex are presented. Each subscale (stressors, physical and psychological reactions, social behavioural reactions, total reaction, and coping) has score ranges defined for low, medium, and high levels. These ranges vary according to the sex of the respondent, with notable differences in stressors and physical, psychological, and social behavioural reactions. This study stands out for its broad and heterogeneous sample, which enriches the representativeness of the data. It offers a comprehensive view of academic stress in college students, identifying distinctive factors and highlighting the importance of gender-sensitive approaches. Its findings contribute to understanding and guide future interventions. By offering a descriptive analysis of the SISCO-IIAS inventory and establishing bar norms, this research aids health professionals and educators in better assessing and addressing academic stress in the student population. [ABSTRACT FROM AUTHOR]

Question: Besides fuel combustion, coal processing, etc., agricultural soils are also a major source of greenhouse gas CO2. How to reduce agricultural greenhouse gas (GHG) emissions through anthropogenic regulatory factors has received widespread attention. A high-quality soil amendment to improve soil habitat, biochar, has emerged. Materials and methods: In this study, a novel and efficient functional biochar was prepared by potassium hydroxide (KOH) modification. Virgin biochar (450BC) and modified biochar (450KBC) were grown in two ratios (w/w) for 61 days for soil improvement, and a total of five treatments were set up: CK (0%), 2%450BC (20 g 450BC·kg−1 soil−1), 2%450KBC (20 g 450KBC·kg−1 soil−1), 4%450BC (40 g 450BC·kg−1 soil−1), 4%450KBC (40 g 450KBC·kg−1 soil−1). Results and discussion: The biochar caused an increase in soil pH, CEC, SOM content, and the concentration of soil NH4+-N and a decrease of the concentration of NO3−-N. Bivariate correlation analysis revealed that CO2 emissions are negatively correlated with SOC, pH, and MBN and positively with CEC and MBC. The biochar inhibited the β-glucosidase activity and kept the SOM degradation under control. The activity of β-glucosidase was not significantly related to the amount of biochar applied, but the effect of the modified biochar was significantly multiplied compared with the virgin biochar, and the most significant reduction in β-glucosidase activity was observed with 4%450 KBC (30%). The order of total CO2 emissions for 61 days of indoor incubation was 4%450KBC < 2%450KBC < 4%450BC < 2%450BC < CK. Conclusions: The application of 450KBC is an appropriate agricultural management strategy that improves the soil biochemical environment while helping to suppress soil CO2 emissions. [ABSTRACT FROM AUTHOR]

Objective: To identify childhood psychopathological features that predict the onset of adolescent Bipolar (BD) versus Unipolar Major Depressive Disorder (UD) during adolescence. Method: We analyzed clinical data from 495 juveniles diagnosed with DSM-5 UD (n = 359), and BD (n = 136), using bivariate analysis and multivariate logistic regression model. Results: BD subjects exhibited earlier onset of any psychiatric feature compared to UD. Antecedents associated with later BD were: oppositional defiant > specific phobias > ADHD > obsessive compulsive (OCD). Antecedents selectively associated with later UD were: social anxiety and separation anxiety. Factors significantly and independently associated with later BD diagnosis were: [a] emotional dysregulation at onset of the mood disorder; [b] first depressive episode with mixed features; [c] antecedent ADHD; [d] antecedent OCD, and [e] antecedent oppositional-defiance. Conclusion: Identifying developmental differences in BD and UD symptoms can aid clinicians in early identification and treatment planning for bipolar disorder in youth. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal 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.)

When words are processed for their fitness-relevance (e.g., for finding food), they are remembered better than when they are processed for non-fitness issues (e.g., for their pleasantness): the survival processing advantage. In the present research, we investigated memory performance as a function of the level of relevance of words (high versus low) to survival issues (e.g., avoiding predators). In Study 1, a sample of French adults had to rate 732 words on the survival problems of "avoiding predators", "avoiding contamination" or "finding food and water". Reliability measures were computed for the ratings and descriptive statistical analyses and bivariate correlations as well as multiple linear regression analyses were performed. The entire set of survival ratings is available as Supplemental Material. Three experiments were then conducted using the collected ratingsto investigate whether the survival processing advantage in memory was moderated by the relation between relevance ratings (high versus low relevance) and survival contexts ("predation" [Experiment 1], "contamination" [Experiment 2], "food and water" [Experiment 3]). Words of high survival relevance were recalled better when encoded either for survival or for pleasantness. Furthermore, a larger survival processing advantage was found for words rated high on survival-related dimensions than for words rated in the pleasantness (control) condition. [ABSTRACT FROM AUTHOR]

To assess the knowledge, attitude, and practice patterns among dermatologists in Saudi Arabia regarding the use of LDOM in the management of hair loss. Methods: An online survey, which was distributed to dermatologists practicing in Saudi Arabia through email and mobile messages. Both univariate and bivariate analyses were performed to investigate the factors that may be associated with enhanced knowledge and practice patterns concerning the utilization of LDOM for the management of hair loss. Results: A total of 84 dermatologists was included in this study, with 50 (60%) being male. It was found that 83 (99%) of the participants identified patterned hair loss as the most common indication for LDOM usage. Additionally, 77 (92%) recognized hypertrichosis as a well-known side effect. 48 (82%) of the dermatologists had never prescribed LDOM due to its unavailability in local pharmacies. Conclusion: The usage of LDOM for hair disorders is increasing. Nonetheless, many dermatologists abstain from prescribing this medication due to its limited availability in local pharmacies. [ABSTRACT FROM AUTHOR]

Natural radioactivity due to 238U, 232Th and 40K in brick samples from Tamil Nadu was determined using gamma-ray spectrometry. The mean activity concentrations of 238U, 232Th and 40K, 69 ± 6, 62 ± 6 and 462 ± 23 Bq kg−1, are slightly greater than the world recommended limits of 35, 45 and 420 Bq kg−1, respectively, and they are compared with a similar work carried out across the world. The radiological parameters such as radium equivalent activity, Raeq (193 ± 17 Bq kg−1), internal hazard index, H in (0.71 ± 0.06), and activity utilisation index, AUI (1.43 ± 0.13), was lower, whilst absorbed dose rate, DRin (89 ± 8 nGy h−1), annual effective dose equivalent, AEDEin (0.43 ± 0.04 mSv y−1), and excess lifetime cancer risk, ELCRin (1.52 ± 0.13 mSv y−1), are slightly greater than the world's recommended limit. Bi-variate statistical analysis was performed to corroborate the relationship between radionuclides and radiological hazards. [ABSTRACT FROM AUTHOR]

Gamification is an educational methodology and tool that offers benefits through mechanics and dynamics. It brings motivating experiences and benefits to the instructional design approach. Several studies highlight that this methodology fosters contributions in commitment, fun, enthusiasm, motivation, satisfaction, and interaction in pedagogical contexts. The sample of 308 teachers was obtained after the mass delivery of the instrument to educational centers in Spain. The sample is nonprobabilistic, and the study participants voluntarily answered the survey. Of the participants, 69.8% were women and 30.2% were men; this proportion is representative of the population of teachers. A descriptive analysis is based on three dimensions: most used programs, devices used, and didactic functionality. These data are triangulated with an analysis through the HJ-Biplot method, which is presented as a multivariate graphical representation of the data from an Xnxp matrix. This analysis details findings on the determining role played by the teacher and the relationship between years of experience, age, devices used, and resources used, detected with descriptive and bivariate analyses. Among the conclusions are that the subjects positively value training in digital teaching competence in terms of gamification, although in real daily practice only 30% of teachers claim to use gamified tools. Gamification provides collaborative and innovative benefits in relation to its didactic functionality. [ABSTRACT FROM AUTHOR]

Urbanization is a common issue worldwide that increases the demand for new urban services and requires land for a new settlement. This study focuses on improving the Analytical Hierarchy Process pairwise matrix using bivariate analysis to identify suitable zones for new urban areas in Latakia, Syria. MIF was used to rank the input thematic maps. Chi-square test and Cramer's V value were used to allocate decision values into the pairwise matrix instead of expert opinions. Weighted overlay analysis was applied to create the final urban suitability map, which was classified into five classes: unsuitable, low, moderate, high, and very high suitability areas with 0.23, 14.33, 57.75, 27.6, and 0.1% of total area, respectively. The primary outcome of this study is that bivariate analysis improved decision matrix reliability as the values were generated statistically without involvement from experts. The proposed method can be extended to include more parameters, different applications, and implementations. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco 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.)

The first case of dengue fever (DF) in Saudi Arabia appeared in 1993 but by 2022, DF incidence was 11 per 100,000 people. Climatologic and population factors, such as the annual Hajj, likely contribute to DF's epidemiology in Saudi Arabia. In this study, we assess the impact of these variables on the DF burden of disease in Saudi Arabia and we attempt to create robust DF predictive models. Using 10 years of DF, weather, and pilgrimage data, we conducted a bivariate analysis investigating the role of weather and pilgrimage variables on DF incidence. We also compared the abilities of three different predictive models. Amongst weather variables, temperature and humidity had the strongest associations with DF incidence, while rainfall showed little to no significant relationship. Pilgrimage variables did not have strong associations with DF incidence. The random forest model had the highest predictive ability (R2 = 0.62) when previous DF data were withheld, and the ARIMA model was the best (R2 = 0.78) when previous DF data were incorporated. We found that a nonlinear machine-learning model incorporating temperature and humidity variables had the best prediction accuracy for DF, regardless of the availability of previous DF data. This finding can inform DF early warning systems and preparedness in Saudi Arabia. [ABSTRACT FROM AUTHOR]

This study examines the relationships between living arrangements and educational outcomes, access to LGBTQ-affirming care, sexual and gender minority (SGM) stressors, and mental health. Bivariate analyses were implemented to examine relationships between living arrangements and academic outcomes, SGM stressors, access to care, and alcohol and substance use. Differences between undergraduate and graduate students are reported. Students who continued living on campus were less likely to report increased family rejection, transphobia, and identity concealment. [ABSTRACT FROM AUTHOR]

Background: Dual harm encompasses the complex interplay of the co-occurrence of self-harm and aggression. Individuals with dual harm may display a more hazardous pattern of harmful behaviors like homicide-suicide compared to people with sole harm. This study aimed to examine the presence of dual harm among general psychiatry inpatients in a mental health unit in Uganda. Methods: A retrospective chart review of 3098 inpatients from January 2018 to December 2021. Dual harm reported experience at admission was based on experiences of self-harm with harm to people or property or both. Logistic regression assessed the association between dual harm and sociodemographics and clinical characteristics. Results: A total of 29 (1%) patients experienced dual harm, with five having experienced self-harm with both harm to others and property, 23 with harm to people, and one with harm to property. Dual harm was statistically significantly associated with the male gender at bivariate analysis. However, there were no statistically significant factors associated with dual harm at multivariate analysis or sensitivity analysis with the specific types of dual harm. Conclusion: General psychiatry inpatients in Uganda experience dual harm before admission at lower prevalence than in previous literature. However, no investigated sociodemographic and clinical factors could explain these experiences. Further studies looking at dual harm are warranted to understand these unfortunate experiences with serious consequences among patients in Uganda. [ABSTRACT FROM AUTHOR]

Background: Urinary incontinence (UI) is a common geriatric syndrome with high health and socio-economic impacts in nursing home (NH) residents. Objectives: To estimate the prevalence and types of UI and its associated factors in older people living in NHs in Central Catalonia (Spain). We also determined the proportion of residents who were receiving behavioural strategies to prevent/manage UI. Design and setting: Cross-sectional study in 5 NHs conducted from January to March 2020. Methods: We included consenting residents aged 65 + permanently living in the NHs. Residents who were hospitalized, in a coma or palliative care were excluded. UI was assessed using Section H of the Minimum Data Set. Sociodemographic and health-related variables were examined. Descriptive, bivariate, and multivariate (logistic regression) analyses were performed. Results: We included 132 subjects (82.6% women), mean age of 85.2 (SD = 7.4) years. The prevalence of UI was 76.5% (95% CI: 68.60-82.93). The most common type was functional UI (45.5%), followed by urgency UI (11.4%). Only 46.2% of residents received at least one behavioural strategy to manage UI. Most sedentary behaviour (SB) variables presented a p-value lower than 0.001 in the bivariate analyses, but none remained in the final model. Moderate-severe cognitive impairment (OR = 4.44, p =.003), anticholinergic activity (OR = 3.50, p =.004) and risk of sarcopenia using SARC-F (OR = 2.75, p =.041) were associated with UI. Conclusions: The prevalence of UI was high in this sample of NH residents compared to the literature, yet less than half received prompted voiding as a strategy to prevent/reduce UI.UI was associated with cognitive impairment, anticholinergic activity, and risk of sarcopenia. [ABSTRACT FROM AUTHOR]

Objective: The objective is to identify risk factors that potentially prolong the hospital stay in patients after undergoing first single-level open lumbar microdiscectomy. Methods: A retrospective single-centre study was conducted. Demographic data, medical records, intraoperative course, and imaging studies were analysed. The outcome measure was defined by the number of days stayed after the operation. A prolonged length of stay (LOS) stay was defined as a minimum of one additional day beyond the median hospital stay in our patient collective. Bivariate analysis and multiple stepwise regression were used to identify independent factors related to the prolonged hospital stay. Results: Two hundred consecutive patients who underwent first lumbar microdiscectomy between 2018 and 2022 at our clinic were included in this study. Statistical analysis of factors potentially prolonging postoperative hospital stay was done for a total of 24 factors, seven of them were significantly related to prolonged LOS in bivariate analysis. Sex (p = 0.002, median 5 vs. 4 days for females vs. males) and age (rs = 0.35, p ≤ 0.001, N = 200) were identified among the examined demographic factors. Regarding preoperative physical status, preoperative immobility reached statistical significance (p ≤ 0.001, median 5 vs. 4 days). Diabetes mellitus (p = 0.043, median 5 vs. 4 days), anticoagulation and/or antiplatelet agents (p = 0.045, median 5 vs. 4 days), and postoperative narcotic consumption (p ≤ 0.001, median 5 vs. 4 days) as comorbidities were associated with a prolonged hospital stay. Performance of nucleotomy (p = 0.023, median 5 vs. 4 days) was a significant intraoperative factor. After linear stepwise multivariable regression, only preoperative immobility (p ≤ 0.001) was identified as independent risk factors for prolonged length of postoperative hospital stay. Conclusion: Our study identified preoperative immobility as a significant predictor of prolonged hospital stay, highlighting its value in preoperative assessments and as a tool to pinpoint at-risk patients. Prospective clinical trials with detailed assessment of mobility, including grading, need to be done to verify our results. [ABSTRACT FROM AUTHOR]

Introduction: Obstetric fistula (OF) repair surgery aims to restore the anatomical and functional integrity of the urinary tract, allowing affected women to regain their dignity and quality of life. However, in some cases, this surgical repair may fail. The objective of this study was to develop a predictive score to identify factors associated with the failure of surgical repair of obstetric urethro-vaginal fistula (FSROUVF) in the Democratic Republic of the Congo (DRC). Methods: This is an analytical cross-sectional study of 358 patients with obstetric urethro-vaginal fistula (OUVF) who received surgical repair. We conducted bivariate and multivariate analyses. Score discrimination was assessed using the receiver operating characteristic (ROC) curve, C-index, and score calibration according to the Hosmer-Lemeshow test. Results: Surgical repair of OUVF failed in 24.86% of cases (89/358). After logistic modelling, 6 criteria predicted FSROUVF: the use of intravaginal indigenous products (AOR = 3.59; 95% CI: 1.51–8.53), the presence of fibrosis (AOR = 6.37; 95% CI: 1.70–23.82), the presence of 2 or more fistulas in the same patient (AOR = 7.03; 95% CI: 3.14–15.72), the total urethral damage (AOR = 3.29; 95% CI: 1.36–7.95), the fistula size > 3 cm (AOR = 5.65; 95% CI: 2.12–15.01), and the postoperative infection (AOR = 351.10; 95% CI: 51.15–2409.81). A score of 0 to 14 was obtained, with a value ≤5 points indicating a low risk of FSROUVF, a value between 6 and 8 indicating a moderate risk, and a value ≥9 points corresponding to a high risk of FSROUVF. The area under the ROC curve of the score is 0.938 with a sensitivity of 60.67%, a specificity of 96.28%, a positive predictive value of 84.38%, and a negative predictive value of 88.10%. Conclusion: We report a FSROUVF rate in the DRC approaching a quarter of operative patients. Predictors of failure included fibrosis, presence of 2 or more fistulas, total urethral involvement, fistula size greater than 3 cm, postoperative infection, and use of intravaginal indigenous products. These factors are constitutive of the HEAL Africa score, which once validated, may have value in pre-operative counselling of patients. This study could be valuable for policy and strategies to address the problem of OUVF in the DRC and in resource limited settings more generally. [ABSTRACT FROM AUTHOR]

In this paper, the Bayesian inference of the model of dependent lives is considered. We use the bivariate Gompertz (BGP) distribution. This new bivariate survival model and its extension have recently been proposed by Shoaee and Khorram. This model is more flexible and can be applied in the actuarial science of life insurance, and reliability theory in competing risks and shock models. As we know, the maximum likelihood estimates do not always exist and therefore cannot always be calculated. So, the Bayesian estimations are considered using the squared error loss function and a priori distributions that create a dependency between the hyper-parameters. But given the assumptions, one can see that explicit expressions cannot be obtained for Bayesian estimations. The importance sampling method is proposed to calculate the Bayes estimations and also to create the corresponding HPD credible intervals of the unknown parameters. The Monte Carlo simulation studies and analysis of a real data set are also performed to evaluate the proposed method for estimating parameters. Finally, a generalization of the dependent lives models is presented and the Bayesian estimate for this new bivariate family distribution is introduced and a comparison is made between the models of this new family. [ABSTRACT FROM AUTHOR]