Explanatory Model Research Articles

Drinking to Cope With the COVID-19 Pandemic Mediates Pathways From COVID-19 Anxiety to Alcohol Use and Alcohol Myopia Consequences

Objective People may consume alcohol to cope with the stressors and anxieties of the COVID-19 pandemic. The present study applied the self-medication hypothesis, tension reduction hypothesis, and alcohol myopia theory to understand COVID-19 alcohol coping as a mediator of the pathways from COVID-19 anxiety to alcohol use and alcohol consequences. Methods Participants (N = 477) were undergraduate college students. The mean age was 22.14 (SD = 5.66) years. Gender distribution included 73% females, 26% males, and 1% transgender. Racial categories included 70% White, 11% Latino, 5% Black, 5% Asian, and 9% multiracial. They completed the Coronavirus Anxiety Scale, the COVID-19 Alcohol Coping Scale developed and validated in the present study, measures of drinking frequency and drinking quantity, and the Alcohol Myopia Scale to assess alcohol consequences. Results First, confirmatory factor analysis supported the measurement structure of the COVID-19 Alcohol Coping Scale. Second, a general structural equation model containing only latent factors provided evidence for the following pathways: COVID-19 anxiety to COVID-19 alcohol coping to overall alcohol use to alcohol myopia consequences. Third, a specific structural equation model separated the overall alcohol use factor into two measures of drinking frequency and drinking quantity. Results found that COVID-19 alcohol coping uniquely explained drinking frequency (but not drinking quantity), indicating that the pursuit of alcohol to cope with the pandemic was related to more frequent days of alcohol use but not more concentrated use on drinking days. Tests of indirect effects corroborated the mediational pathways in the explanatory models. Conclusions The research offers insights into understanding that the risk connections from COVID-19 anxiety to alcohol behavioral outcomes are mediated by alcohol use to cope with the pandemic.

Müllerian anomalies and endometriosis as potential explanatory models for the retrograde menstruation/implantation and the embryonic remnants/celomic metaplasia pathogenic theories: a systematic review and meta-analysis.

Does endometriosis prevalence differ in patients with obstructive Müllerian anomalies (OMA) versus those with nonobstructive Müllerian anomalies (NOMA), and in patients with NOMA versus those without Müllerian anomalies? The quantitative synthesis of published data demonstrates a substantially increased prevalence of endometriosis in patients with OMA compared with those with NOMA, and a similar prevalence in patients with NOMA and those without Müllerian anomalies. The pathogenesis of endometriosis has not been definitively clarified yet. A higher prevalence of endometriosis in patients with OMA than in those with NOMA would support the retrograde menstruation (RM)/implantation theory, whereas a higher prevalence of endometriosis in the NOMA group than in the group without Müllerian anomalies would support the embryonic remnants/celomic metaplasia hypothesis. This systematic review with meta-analysis was restricted to full-length, English-language articles published in peer-reviewed journals between 1980 and 2023. The PubMed and EMBASE databases were searched using the keyword 'endometriosis' in combination with 'Müllerian anomalies', 'obstructive Müllerian anomalies', 'female genital malformations', 'retrograde menstruation', 'infertility', 'pelvic pain', and 'classification'. References from relevant publications were screened, and PubMed's 'similar articles' and 'cited by' functions were used. Studies were selected if they reported the prevalence of surgically confirmed endometriosis in either individuals with OMA compared to those with NOMA, or patients with NOMA compared to those without Müllerian anomalies. Cohort and case-control studies and case series were deemed eligible for inclusion. Noncomparative studies, studies not reporting both the number of individuals with endometriosis and the total number of those with Müllerian anomalies or with other gynecological conditions, those including exclusively data on patients with absent or uncertain menstrual function (e.g. complete Müllerian agenesis category), or with imperforate hymen were excluded. Two reviewers independently abstracted data. The risk of bias was assessed with the Risk of Bias In Non-randomized Studies of Exposures tool. The overall certainty of the evidence was graded according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines. Seven retrospective studies were included. The overall mean estimate of endometriosis prevalence was 47% (95% CI, 36-58%) in patients with OMA, and 19% (95% CI, 15-24%) in patients with NOMA, with a common odds ratio (OR) of 4.72 (95% CI, 2.54-8.77). The overall mean estimate of endometriosis prevalence in patients with NOMA was 23% (95% CI, 20-27%), and that in patients without Müllerian anomalies was 21% (95% CI, 20-22%), with a common OR of 0.95 (95% CI, 0.57-1.58). The overall certainty of the evidence according to GRADE guidelines was judged as low for both comparisons. Some NOMA subtypes may create a partial obstacle to menstrual efflux and/or generate dysfunctional myometrial contractions that favor transtubal reflux, thus increasing the risk of endometriosis and limiting the difference between OMA and NOMA. As infertility and pelvic pain are strongly associated with endometriosis, women with these symptoms are inappropriate controls. Confounding by indication could explain the lack of difference in endometriosis prevalence between patients with NOMA and those without Müllerian anomalies. The results of this meta-analysis support the validity of the RM theory but do not definitively rule out alternative hypotheses. Thus, RM may be considered the initiator for the development of endometriotic lesions, while not excluding the contribution of both inheritable and tissue-specific genetic and epigenetic modifications as disease-promoting factors. No funding was received for this review. P.Ve. is a member of the Editorial Board of Human Reproduction Open, the Journal of Obstetrics and Gynaecology Canada, and the International Editorial Board of Acta Obstetricia et Gynecologica Scandinavica; has received royalties from Wolters Kluwer for chapters on endometriosis management in the clinical decision support resource UpToDate; and maintains both a public and private gynecological practice. E.S. discloses payments from Ferring for research grants and honoraria from Merck-Serono for lectures. All other authors declare they have no conflict of interest. N/A.

Personality, strategies and game moves linked to prosocial behaviors: A statistical discourse analysis

As no study has systematically theorized and empirically tested an ecological model of students' cooperative behaviors during game-based learning, this study moves toward doing so by modeling multiple levels of antecedents of students' prosocial behaviors during game play. Specifically, we propose a theoretical model of how player personality, players’ personality composition, and recent sequences of strategies or game moves affect the likelihood of prosocial behavior in each turn of talk. Then, we empirically tested our model on 8432 turns of talk by 17 adolescents in eight face to face games via statistical discourse analysis.Players who were agreeable, conscientious, and patient showed prosocial behaviors more often. Meanwhile groups with only one agreeable person, only one extrovert, or only one conformist showed fewer prosocial behaviors. Furthermore, recent strategies such as advise, lend resources, or consent were more likely to precede a prosocial behavior. By contrast, recent aggressive moves reduced the likelihood of an immediate prosocial behavior. For example, a sequence of consecutive attacks sharply reduced the likelihood of a prosocial behavior. Furthermore, interactions among these attributes also affected the likelihood of prosocial behaviors.These results contribute to and help integrate social identity theory and social learning theory by moving toward an ecological explanatory model with player personalities, player composition, sequences of strategies and game moves, and their interactions. These insights (a) help bridge the gap in our understanding of how students act and react in strategic activities, and (b) inform game design and instructional practices seeking to foster prosocial behaviors and environments.

Research on the influencing factors of subjective well-being of Chinese college students based on panel model.

The subjective well-being of Chinese college students has always been a topic of concern. Subjective well-being is an overall evaluation of the quality of life according to the standards set by individuals, which is of great significance to the development of college students. Based on the data published in the past 5 years of China's comprehensive social survey, this study uses panel model and adversarial explanatory structure model to analyze the influencing factors of subjective well-being of Chinese college students from five dimensions: social equity attitude, parental education, use of network, social interaction and physical health. The results show that social justice attitude, parents' education, network use, social interaction and physical health have a positive impact on the subjective well-being of Chinese college students. Among them, the use of the network and the education of parents mainly affect the social justice attitude, social interaction attitude, physical health status, and ultimately affect the subjective well-being of college students. Based on the above conclusions, this study proposes strategies to improve the subjective well-being of college students, which has certain reference and guiding significance for educators and decision makers, and has reference significance for developing countries.

Differential socioemotional and educational profiles in early childhood and primary education students in a lockdown situation.

Recent lockdown situations have highlighted social relationship deprivation of schoolchildren and the need to develop the teaching-learning process in informal contexts. The aim of this study was to analyze differential socioemotional and educational profiles in Early Childhood and Primary Education students using variables relating to academic performance during the COVID-19 pandemic. Correlational, descriptive, and inferential statistical analyses were performed that yielded differential explanatory models depending on the stage of education. The results reveal statistically significant differences in all the variables except for family-school relationship. In the linear regression models, the most statistically significant variable for school performance in both stages was family-school relationship. However, differences were found between both profiles: emotional impact for Early Childhood Education students and social impact for Primary Education students. Lastly, leisure activities at home were included as an explanatory variable only in the Primary Education regression model. The final conclusions highlight the need to attend to the evolutionary characteristics of students in each stage to improve school performance in similar lockdown situations.

An Explanatory Model for the Impact of Investor Sentiment on Stock Markets Integrating XGBoost and SHAP

With the widespread popularity of Internet, non-professional individual investors can share information and express their tendency through online forum, exerting a certain influence on the price fluctuations in the stock market. This study has compiled investor sentiment data from the stock forum of Eastmoney.com for the years 2018 to 2022. By integrating this data with the daily return rates of individual stocks in the Shanghai Stock Exchange (SSE), an XGBoost regression model has been established. Utilizing SHAP (Shapley Additive exPlanations) for visualization and analysis, the findings reveal that the daily stock returns exhibit a significant positive correlation with investor positive sentiment and turnover rate, and a significant negative correlation with the number of forum posts. Conversely, there is no significant correlation with metrics such as average number of followers, average reading volume, average number of likes, average net comments, user average influence index, and emotional consistency index within the stock forum. Moreover, in the Chinese SSE market, stocks of different market capitalizations do not display significant differences in sensitivity to investor sentiment. This study contributes novel perspectives and methodologies to the study of investor sentiment, aiding in a more profound comprehension of the behaviors of individual investors participating in stock forum discussions and the consequential impact of such behaviors on the market.

Taking on a new meaning of physics mathematization for teaching in teacher education processes

This is a documented reflection that seeks to characterize an alternative conception of the ‘mathematization of physics for teaching’. The reflection was made on the academic production of the research group ‘Teaching and learning of physics’. This group has posed a sequence of research questions has been raised to find out how physics teachers understand the relationship between physics and mathematics in the physics teaching process. In 2003 they studied the idea of ‘mathematical beauty’ in the early days of quantum mechanics, suggesting that there would be a difference between the way scientists assume the physical/mathematical relationship and the way physics is taught. In 2010, they wondered if there would be research in this field that would allow transformations in teaching focused on equations as the set of mathematical–physical relationships, finding that there are at least three trends. In 2019, they verified that despite the research in the literature, many students continue with the same reductionist idea about this relationship. In 2020, they made a proposal, showing a possibility of educating the teacher’s thinking for new understandings in this regard. The main conclusion is that it is possible to develop mathematization processes in the classroom from three specific phases that educate scientific thinking. The first phase tries to make the student aware of the existence of phenomenology and describe it. The second phase educates the study of nature in a systematic way, building the meaning of the organization of a physical system. The third phase promotes explanation and argument so that students achieve an explanatory model. These phases are configured as a criterion to guide the sequence of activities in a class, a set of classes or a complete course and have been worked on and tested in ‘physics didactics’ courses in a physics teacher training course.

Quality of life and quality-adjusted life years after stroke in Sierra Leone.

Stroke is a leading cause of mortality and negatively affects health-related quality of life (HRQoL). HRQoL after stroke is understudied in Africa and there are no reports of quality-adjusted life years after stroke (QALYs) in African countries. We determined the impact of stroke on HRQoL after stroke in Sierra Leone. We calculated QALYs at 1 year post-stroke and determined sociodemographic and clinical variables associated with HRQoL and QALYs in this population. A prospective stroke register was established at the two-principal adult tertiary government hospitals in Freetown, Sierra Leone. Participants were followed up at 7, 90 days, and 1 year post-stroke to capture all-cause mortality and EQ-5D-3L data. QALYs were calculated at the patient level using EQ-5D-3L utility values and survival data from the register, following the area under the curve method. Utilities were based on the UK and Zimbabwe (as a sensitivity analysis) EQ-5D value sets, as there is no Sierra Leonean or West African value set. Explanatory models were developed based on previous literature to assess variables associated with HRQoL and QALYs at 1 year after stroke. To address missing values, Multiple Imputation by Chained Equations (MICE), with linear and logistic regression models for continuous and binary variables, respectively, were used. EQ-5D-3L data were available for 373/460 (81.1%), 360/367 (98.1%), and 299/308 (97.1%) participants at 7, 90 days, and 1 year after stroke. For stroke survivors, median EQ-5D-3L utility increased from 0.20 (95% CI: -0.16 to 0.59) at 7 days post-stroke to 0.76 (0.47 to 1.0) at 90 days and remained stable at 1 year 0.76 (0.49 to 1.0). Mean QALYs at 1 year after stroke were 0.28 (SD: 0.35) and closely associated with stroke severity. Older age, lower educational attainment, patients with subarachnoid hemorrhage and undetermined stroke types all had lower QALYs and lower HRQoL, while being the primary breadwinner was associated with higher HRQoL. Sensitivity analysis with the Zimbabwe value set did not significantly change regression results but did influence the absolute values with Zimbabwe utility values being higher, with fewer utility values less than 0. We generated QALYs after stroke for the first time in an African country. QALYs were significantly lower than studies from outside Africa, partially explained by the high mortality rate in our cohort. Further research is needed to develop appropriate value sets for West African countries and to examine QALYs lost due to stroke over longer time periods. The Stroke in Sierra Leone anonymized dataset is available on request to researchers, see data access section.

The impact of Industry 4.0 on occupational health and safety: A systematic literature review

Introduction: Industry 4.0 has brought new paradigms to businesses based on high levels of automation and interconnectivity and the use of technologies. This new context has an impact on the work environment and workers. Nevertheless, these impacts are still inconclusive and controversial, requiring new investigative perspectives. This study aimed to investigate the requirements sought, the risk factors identified, and the adverse effects on workers caused by the characteristics of I4.0. Method: The methodology was based on a systematic literature review utilizing the PRISMA protocol, and 30 articles were found eligible. A descriptive and bibliometric analysis of these studies was performed. Results: The results identified the main topics that emerged and have implications for workers' Occupational Health and Safety (OHS) and divided them into categories. The requirements are related mainly to cognitive, organizational, and technological demands. The most significant risk factors generated were associated with the psychosocial ones, but organizational, technological, and occupational factors were also identified. The adverse effects cited were categorized as psychic, cognitive, physical, and organizational; stress was the most cited effect. An explanatory theoretical model of interaction was proposed to represent the pathway of causal relations between the requirements and risk factors for the effects caused by I4.0. Conclusions and practical applications: This review has found just how complex the relationships between the principles of Industry 4.0 are (e.g., requirements, risk factors, and effects) and the human factors. It also suggests a pathway for how these relationships occur, bridging the gap left by the limited studies focused on connecting these topics. These results can help organizational managers understand the impacts of I4.0 on workers' safety and health.

Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.

Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran's Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.

Cultural concepts of distress among Albanian young adults living in Switzerland - a qualitative study.

Existing research recognizes the critical role that social, sociodemographic, and acculturative processes play in increasing vulnerability for experiencing psychological distress among second-generation migrants. However, to date, far too little attention has been given to the study of psychological distress in this social group. The main objective of this study is to examine cultural identities, as well as expressions and causes of psychological distress among second-generation Albanian-speaking migrants in Switzerland. Semi-structured qualitative interviews were conducted with 13 Albanian-speaking participants between 19 and 35 years of age using the interview of the Barts Explanatory Model Inventory. Data were analyzed by qualitative content analysis using MAXQDA-2018 software. Study participants showed bicultural identities, which caused value conflicts and a feeling of being "caught" between Swiss and Albanian culture. Some participants experienced the fear of disappointing their parents. Others find it difficult to deal with conflicting norms and values. Parentification was another important cause within their cultural concept of distress. At the same time, (implicit) social support, i.e., spending time with the family and the community, was an important coping mechanism. Second-generation immigrants are exposed to specific risk factors for psychological distress. A better understanding of these risk factors and their coping mechanisms is essential for providing them with meaningful support services, both in prevention and psychotherapy.

Text and Tradition: The Dynasty of Villarvattom among Syrian Christians in Kerala, India

The present paper introduces, inventories and interrogates prevailing narratives about the complex trajectories through which a putative Syrian Christian dynasty named Villarvattom has taken root in communal genealogies and the popular imagination of Kerala. The paper, by examining historical evidence, argues that the existing historical documents compel us to consider it as a retrospectively invented and imagined tradition necessitated and facilitated by the unique socio-political structures of Kerala viz. the ideational complexes wrought by caste and allied practices, the dislocation caused by successive colonial regimes and the overall crisis experienced by the indigenous Christian community. The paper surveys the present state of literature, discusses explanatory models, points to the possibility of cultural introjection and seeks ways in which the study can be taken forward more comprehensively and productively so that we gain perceptive insights into both the ecclesiastical and secular histories of Kerala. The paper argues that it is an invented tradition, a defence mechanism collectively, and perhaps unconsciously, evolved by the beleaguered Syrian Christians under the Portuguese, Dutch and British colonial rule, which had inflicted debilitating blows to the power and glory enjoyed by this community.

Comparative analysis of the prevalence 3-HIT concept in people living with HIV and seronegative patients with chronic conditions. Cross-3HIT Project.

ObjectivesThis study aimed to assess and compare the occurrence of 3-HIT in people living with HIV (PLWH) and seronegative patients. Additionally, the study investigated whether HIV infection could serve as...

A quantitative study on the effectiveness of the governance attributes on ‘industry-wise earnings quality’ in the UK

Despite of positive impacts of the earnings management on the business purposes, many businesses have been suffered due to the audit failures as a result of aggressive earnings management. Therefore, the study on true reflection of earnings management, the controlling factors and how aggressively manipulated earnings quality can be mitigated are the areas of concern these days. For the estimation of earnings management, performance matched discretionary accruals model has been implemented as this model has been identified as the best explanatory models. Thereafter, this research has accumulated the sector-wise earnings management to identify the impact of sectors on the sectorial earnings management. There are eleven different industries involved in the research while four of them have revealed that the managers from certain sectors have got involved in the aggressive earnings management. Further, this research has investigated the impact of the attributes of the corporate governance on the sector-wise earnings management. the variables of corporate governance like managerial ownership, block-holders, institutional ownership and non-executive directors’ fees have significant impact on sector-wise earnings management where other variables like board meeting, board size, number of female members on the board, board independence have not been identified as they have significant impact on controlling earnings management. Univariate and multivariate methods are used to demonstrate the results and to establish the inferences of the outcomes of the research. The use of coefficients (β -value) and p-value are much prominent in this study.

A Taxonomy of Upper‐Mantle Stratification in the US

AbstractThe investigation of upper mantle structure beneath the US has revealed a growing diversity of discontinuities within, across, and underneath the sub‐continental lithosphere. As the complexity and variability of these detected discontinuities increase—for example, velocity increase/decrease, number of layers and depth—it is hard to judge which constraints are robust and which explanatory models generalize to the largest set of constraints. Much work has been done to image discontinuities of interest using S‐waves that convert to P‐waves (or top‐side reflected SS waves). A higher resolution method using P‐to‐S scattered waves is preferred but often obscured by multiply reflected waves trapped in a shallower layer, limiting the visibility of deeper boundaries. Here, we address the interference problem and re‐evaluate upper mantle stratification using filtered P‐to‐S receiver functions (Ps‐RFs) interpreted using unsupervised machine‐learning. Robust insight into upper mantle layering is facilitated with CRISP‐RF: Clean Receiver‐Function Imaging using Sparse Radon Filters. Subsequent sequencing and clustering organizes the polarity‐filtered Ps‐RFs into distinct depth‐based clusters. We find three types of upper mantle stratification beneath the old and stable continental US: (a) intra‐lithosphere discontinuities (paired or single boundary), (b) transitional discontinuities (single boundary or with a top layer), and (c) sub‐lithosphere discontinuities. Our findings contribute a more nuanced understanding of mantle discontinuities, offering new perspectives on the nature of upper mantle layering beneath continents.

A Self-Reported Study on Explanatory Variables of Stress in Multiple Sclerosis Patients: Exploring the Effect of Physical Conditions and Emotion Regulation Processes.

Multiple sclerosis (MS)-linked stress is frequent, multidetermined and facilitates the onset/exacerbation of MS. However, few explanatory models of stress analysed the joint explanatory effect of emotion regulation and clinical outcomes of MS in those patients. This study explored whether self-reported MS-related conditions (number of relapses, fatigue and global disability) and specific emotion regulation processes (experiential avoidance and self-compassion) explain stress symptoms in MS patients. The MS sample comprised 101 patients with MS diagnosis receiving treatment in hospitals and recruited through the Portuguese MS Society. The no-MS sample included 134 age-, sex- and years of education-matched adults without MS recruited from the general Portuguese population. Both samples did not report other neurological disorders. Data were collected using self-response measures. All potential explanatory variables differed significantly between samples, with higher scores found in MS patients. In MS clinical sample, those variables and years of education correlated with stress symptoms and predicted stress symptoms in simple linear regression models. These results allowed their selection as covariates in a multiple linear regression model. Years of education, the number of relapses, fatigue and experiential avoidance significantly predicted 51% of stress symptoms' total variance. This study provides preliminary evidence on the importance of clinicians and researchers considering the simultaneous contribution of years of education, the number of perceived relapses, fatigue and experiential avoidance as factors that can increase vulnerability to stress in MS patients. Psychological intervention programmes that tackle these factors and associated stress symptomatology should be implemented.

Common mental disorders among patients with diabetes in a secondary care facility: nature, prevalence, and explanatory models

Background: Diabetes is a chronic medical condition which is psychologically and behaviourally demanding in nature. Persons with diabetes may be particularly vulnerable to developing mental health disorders. This study was conducted to estimate the prevalence and factors associated with common mental disorders (CMDs) in patients with diabetes and understand their explanatory models of illness. Methods: One hundred and seventy patients who attended the diabetic clinic at a secondary care hospital were recruited to participate in this cross-sectional study. Psychiatric morbidity and the individual's conceptualization of the illness were assessed using the clinical interview schedule-revised and the modified short explanatory model interview (SEMI) respectively. Socio-demographic and clinical details were recorded using a structured proforma. Results: CMDs were observed in 14.7% of the sample and were significantly associated with female gender, longer duration of diabetic illness and treatment, use of insulin and past treatment for psychiatric illness. Illness attributions included unhealthy diet, heredity, and stress, as well as punishment from God. Religious and traditional healing methods were cited as potential sources of help in addition to medical interventions and lifestyle modification. Conclusions: Diabetes can significantly impact the emotional health of an individual in addition to its myriad physical consequences. Understanding patient perspectives regarding their illness and identifying and providing appropriate interventions for those with emotional disorders are an important component of diabetes care programs.

Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents

Automobile traffic accidents represent a significant threat to global public safety, resulting in numerous injuries and fatalities annually. This paper introduces a comprehensive, explainable artificial intelligence (XAI) artifact design, integrating accident data for utilization by diverse stakeholders and decision-makers. It proposes responsible, explanatory, and interpretable models with a systems-level taxonomy categorizing aspects of driver-related behaviors associated with varying injury severity levels, thereby contributing theoretically to explainable analytics. In the initial phase, we employed various advanced techniques such as data missing at random (MAR) with Bayesian dynamic conditional imputation for addressing missing records, synthetic minority oversampling technique for data imbalance issues, and categorical boosting (CatBoost) combined with SHapley Additive exPlanations (SHAP) for determining and analyzing the importance and dependence of risk factors on injury severity. Additionally, exploratory feature analysis was conducted to uncover hidden spatiotemporal elements influencing traffic accidents and injury severity levels. We developed several predictive models in the second phase, including eXtreme Gradient Boosting (XGBoost), random forest (RF), deep neural networks (DNN), and fine-tuned parameters. Using the SHAP approach, we employed model-agnostic interpretation techniques to separate explanations from models. In the final phase, we provided an analysis and summary of the system-level taxonomy across feature categories. This involved classifying crash data into high-level causal factors using aggregate SHAP scores, illustrating how each risk factor contributes to different injury severity levels.

Improving Students’ HOTs-Literacy Abilities Through Making Summaries at The End of Learning

The reading and writing habits of SMAN 2 Percut Sei Tuan students are relatively low. Therefore, students' literacy and high order thinking abilities are also relatively low. The implementation of scientific literacy-based learning strategies in the form of making summaries at the end of the learning process is expected to improve students' literacy and high order thinking skills. The instruments used are tests in the form of varied multiple choices and essays totaling 8 and 2 questions. The results of data analysis show that students' initial abilities on the 9 of HOTs-Literacy indicators are very low with an average value of 28.49. The summarizing treatment at the end of the learning process succeeded in improving the ability of HOTs-Literacy students in indicators (1) identifying information and data, (2) using information and data, (3) producing explanatory models, (4) distinguishing questions that can be researched scientifically, (5) formulating hypotheses, (6) making predictions, (7) analyzing data, (8) interpreting data, (9) drawing or presenting conclusions, respectively 63.7 ; 66.7; 68.4 ; 64.0 ; 70.9 ; 70.8; 79.2 ; 81.4 and 86.3 %.

Examining the association between perceived stigma, its correlates, and restrictions in participation among persons with disabilities in Nepal: a cross-sectional study

BackgroundDisability stigma in low- and middle-income countries is one of the most persistent and complex barriers limiting persons with disabilities (PwDs) from enjoying their rights and opportunities. Perceived stigma among PwDs and its impact on participation restriction is rarely assessed in Nepal.ObjectiveThis study aimed to measure the extent of perceived stigma by PwDs, identify its relationships with specific demographic factors, and assess the impact on social participation.MethodsA cross-sectional survey was conducted between May and July 2022 among PwDs in Nepal, with a sample of 371. The Explanatory Model Interview Catalog (EMIC) stigma scale and P-scale suitable for people affected by stigmatized conditions were used, and the generated scores were analyzed. One-way ANOVA was performed to determine group differences for sociodemographic variables, and linear regression and correlational analysis were used to identify their association and measure the strength and direction of the relationship.ResultsThe mean stigma score was 16.9 (SD 13.8). 42% of respondents scored higher than the mean. The scores differed significantly by disability type, caste and ethnicity, education, occupation, and household wealth. Over 56% reported participation restriction, and 38% had severe/extreme restriction. Approximately 65% of participants with intellectual disabilities, 53% with multiple disabilities, and 48.5% of persons with severe or profound disabilities experienced severe or extreme restrictions. Perceived stigma had a positive correlation with Disability type (r = 0.17, P < 0.01) and negative correlations with Severity of disability (r= -0.15, P < 0.05), and Household wealth (r= -0.15, P < 0.01). Education was inversely associated with both stigma (r= -0.24, P < 0.01), and participation restriction (β= -9.34, P < 0.01). However, there was no association between stigma and participation restriction (β= -0.10, P > 0.05).ConclusionAll participants exhibited stigma in general; however, the severity varied based on disability type, level of education, and sociocultural circumstances. A large proportion of participants reported facing a high degree of restrictions in participation; however, no association was detected between perceived stigma and participation restriction. A significant negative linear correlation was observed between education and participation restriction. Stigma reduction programs focusing on education and empowerment would be especially important for overcoming internalized stigma and increasing the participation of PwDs.