Yoxas/statistical_literacy huggingface dataset:
Relatively little is known about the relationship between socio-demographic factors and the chemical exposome in adolescent populations. This knowledge gap hampers global efforts to meet certain UN sustainability goals. The present work addresses this problem in Swedish adolescents by discerning patterns within the chemical exposome and identify demographic groups susceptible to heightened exposures. Enlisting the Riksmaten Adolescents 2016-17 (RMA) study population (N = 1082) in human-biomonitoring, and using proportional odds ordinal logistic regression models, we examined the associations between concentrations of a diverse array of substances (N = 63) with the determinants: gender, age, participant/maternal birth country income per capita level, parental education levels, and geographic place of living (longitude/latitude). Participant/maternal birth country exhibited a significant association with the concentrations of 46 substances, followed by gender (N = 41), and longitude (N = 37). Notably, individuals born in high-income countries by high-income country mothers demonstrated substantially higher estimated adjusted means (EAM) concentrations of polychlorinated biphenyls (PCBs), brominated flame retardants (BFRs) and per- and polyfluoroalkyl substances (PFASs) compared to those born in low-income countries by low-income country mothers. A reverse trend was observed for cobalt (Co), cadmium (Cd), lead (Pb), aluminium (Al), chlorinated pesticides, and phthalate metabolites. Males exhibited higher EAM concentrations of chromium (Cr), mercury (Hg), Pb, PCBs, chlorinated pesticides, BFRs and PFASs than females. In contrast, females displayed higher EAM concentrations of Mn, Co, Cd and metabolites of phthalates and phosphorous flame retardants, and phenolic substances. Geographical disparities, indicative of north-to-south or west-to-east substance concentrations gradients, were identified in Sweden. Only a limited number of lifestyle, physiological and dietary factors were identified as possible drivers of demographic inequalities for specific substances. This research underscores birth country, gender, and geographical disparities as contributors to exposure differences among Swedish adolescents. Identifying underlying drivers is crucial to addressing societal inequalities associated with chemical exposure and aligning with UN sustainability goals.
Relatives and caregivers receive little information and have poor knowledge about cognitive impairment and dementia. This study aimed to identify beliefs about cognitive impairment and aging among people who are in contact with older people with and without cognitive impairment, hypothesizing that the fact of being a close relative influences or modifies these beliefs. Seventy-eight participants were classified into two groups; group 1: relatives of patients with cognitive impairment or dementia from a behavioral neurology outpatient clinic (n1=48); and group 2: relatives of patients without objective cognitive impairment from different services of a geriatric outpatient clinic (n2=30). All subjects were asked to answer a questionnaire containing single choice and true/false questions about causes and risk factors for dementia. Participants were mainly females and first-degree relatives. No statistical differences were observed for age, schooling, or follow-up time between groups. Participants recognized Alzheimer's disease as the main cause of memory loss in older adults (group 1=34 vs. group 2=15); when asking about sources of information about cognitive impairment, the three more common answers were doctors and health professionals, Internet, and journals/books. Group 1 got higher scores on questions about causes and risk factors for dementia, but no statistical differences were found. Dementia literacy is low even among the people in contact with this syndrome; caring for someone with dementia changes the concepts about memory and aging but only in a small proportion. Educational strategies to deal with misinformation can help to control risk factors and reduce the incidence of dementia.
Reliable modeling of oily wastewater emphasizes the paramount importance of sustainable and health-conscious wastewater management practices, which directly aligns with the Sustainable Development Goals (SDG) while also meeting the guidelines of the World Health Organization (WHO). This research explores the efficiency of utilizing polypyrrole-coated ceramic-polymeric membranes to model oily wastewater separation efficiency (SE) and permeate flux (PF) based on established experimental procedures. In this area, computational simulation still needs to be explored. The study developed predictive regression models, including robust linear regression (RLR), stepwise linear regression (SWR) and linear regression (LR) for the ceramic-polymeric porous membrane, aiming to interpret its complex performance across diverse conditions and, thus, develop its utility in oily wastewater treatment applications. Subsequently, a novel, simple average ensemble paradigm was explored to reduce errors and improve prediction skills. Prior to the development of the model, stability and reliability analysis of the data was conducted based on Philip Perron tests with the Bartlett kernel estimation method. The accuracy of the SE exhibited a high consistency, averaging 99.92% with minimal variability (standard deviation of 0.026%), potentially simplifying its prediction compared to PF. The modes were validated and evaluated using metrics like MAE, RMSE, Speed, and MSE, in addition to 2D graphical and cumulative distribution function graphs. The LR model emerged as the best with the lowest RMSE =0.21951, indicating superior prediction accuracy, followed closely by RLR with an RMSE = 0.22359. SWLR, while having the highest RMSE = 0.34573, marked its dominance in prediction speed with 110 observations per second. Notably, the RLR model justified a reduction in error by approximately 35.29% compared to SWLR. Moreover, the training efficiency of the LR model exceeded, demanding a mere 2.9252 s, marking a reduction of about 32.54% compared to SWLR. The improved simple ensemble learning proved merit over the three models regarding error accuracy. This study emphasizes the essential role of soft-computing learning in optimizing the design and performance of ceramic-polymeric membranes.
Remediation of underperforming students is recognised as an important tool in medical education; however, there is no universally agreed approach. This study aimed to evaluate the effectiveness of a remediation program for final year medical students who failed their first long case assessment (LCA1) and to compare their academic performance with their peers who passed their first long case assessment. The study consisted of two phases. Phase 1 analysed the demographics and academic performance data for the 9% of the class in the remediation group. Phase 2 focused on collecting similar data for the remaining 91% of students in the non-remediation group. Statistical analyses including the Wilcoxon rank sum test and Pearson correlation coefficients were used to compare the groups. Phase 1 showed 88% of students who participated in remediation successfully passed the second long case assessment (LCA2); however, 25% of this cohort ultimately failed the academic year due to poor results in other assessments. Phase 2 results revealed that non-remediation group students scored significantly higher in LCA2 (59.71% vs 52.07%, p < 0.001) compared to their remediation counterparts, despite 19% of them failing this assessment. Non-remediation group students consistently outperformed their remediation group counterparts in formative and summative assessments. Overall, 6.25% of the entire class failed the academic year. This study demonstrates the need to focus on overall academic performance to identify struggling students rather than one high stakes exam. Most of the students in the remediation programme ultimately passed LCA2.
Remote and digital services must be equitable, but some patients have difficulty using these services. Designing measures to overcome digital disparities can be challenging for practices. Personas (fictional cases) are a potentially useful tool in this regard. To develop and test a set of personas to reflect the lived experiences and challenges that older people who are disadvantaged face when navigating remote and digital primary care services. Qualitative study of digital disparities in NHS community health services offering video appointments. Following familiarisation visits and interviews with service providers, 17 older people with multiple markers of disadvantage (limited English, health conditions, and poverty) were recruited and interviewed using narrative prompts. Data were analysed using an intersectionality lens, underpinned by sociological theory. Combining data across all participant interviews, we produced personas and refined these following focus groups involving health professionals, patients, and advocates (n = 12). Digital services create significant challenges for older patients with limited economic, social, and linguistic resources and low digital, health, or system literacy. Four contrasting personas were produced, capturing the variety and complexity of how dimensions of disadvantage intersected and influenced identity and actions. The personas illustrate important themes including experience of racism and discrimination, disorientation, discontinuity, limited presence, weak relationships, loss of agency, and mistrust of services and providers. Personas can illuminate the multiple and intersecting dimensions of disadvantage in patient populations who are marginalised and may prove useful when designing or redesigning digital primary care services. Adopting an intersectional lens may help practices address digital disparities.
Remote and hybrid modes of instruction were employed as alternatives to in-person instruction as part of early mitigation efforts in response to the COVID-19 pandemic. We investigated the impact of a public school district's instructional mode on cumulative incidence and transmission in the surrounding community by employing a generalized estimating equations approach to estimate the association with weekly COVID-19 case counts by zip code in Cuyahoga County, Ohio, from August to December 2020. Remote instruction only (RI) was employed by 7 of 20 school districts; 13 used some non-remote instruction (NRI) (2-15 weeks). Weekly incidence increased in all zip codes from August to peak in late fall before declining. The zip code cumulative incidence within NRI school districts was higher than in those offering only RI (risk ratio = 1.12, p = 0.01; risk difference = 519 per 100,000, 95% confidence interval (123-519)). The mean effect for NRI on emergent cases 2 weeks after mode exposure, controlling for Social Vulnerability Index (SVI), was significant only for high SVI zip codes 1.30, p < 0.001. NRI may be associated with increased community COVID-19 incidence, particularly in communities with high SVI. Vulnerable communities may need more resources to open schools safely.
Remote work, one of the most significant working arrangements of today, requires certain employee skills. Although there are some hints, there is not much information in the literature on this subject. This study aims to identify the skills required for productive remote working activities and to develop a scale for measuring these skills. For this purpose, a thorough review of the literature, consultation with experts, and analysis of data obtained from four samples with remote working experience were all conducted. Within this context, item generation and content validation, initial factor structure analysis, and factor structure confirmation and construct validity examination were performed. Consequently, the Remote Working Skills Scale was developed, which has 36 items and five dimensions (cybersecurity, problem-solving, time management, verbal communication, and written communication).
Renewal of healthcare registration or license to practise is becomingly increasingly common, worldwide. Evidence regarding the experience of nursing and midwifery revalidation in the United Kingdom is limited. Preparation of students for the process has not yet been considered in the literature. To explore registrants' experiences of undertaking or supporting colleagues through revalidation. To consider preparation of pre-registration students for this future professional requirement. A descriptive exploratory study comprising an on-line survey. A university in the southwest of England and associated clinical placements. Nursing and Midwifery Council registrants, comprising 40 university staff and 40 clinicians; 36 pre-registration nursing and midwifery students. Participation in an anonymous on-line survey was invited via university databases. Descriptive statistical analysis of quantitative data used a combination of software and manual methods. Qualitative data were manually coded and categorised into themes through inductive reasoning. Most experiences of revalidation were positive. Reflective discussions resulted in mutual learning, particularly if partners were chosen by the registrant. External scrutiny was welcomed. Some registrants questioned involvement of line managers and alignment with performance review, seeking to avoid a 'tick-box exercise' and conflicts of interest. University staff felt better prepared and more positive than clinicians. Pre-registration curriculum activities preparing students included writing reflections, maintaining portfolios, practice assessment and discussions about the revalidation process. Midwifery students seemed better prepared than nursing peers. Key themes of 'Professional values', 'Preparation', 'Process' and 'Purpose' and a range of positive influences and potential hazards informed development of a conceptual model. The purpose and process of revalidation is enhanced if confirmation is undertaken by a registered nurse or midwife of the individual's choice. Preparation of students for future revalidation is facilitated by role-modelling of positive attitudes and explicitly linking relevant pre-registration curriculum activities to this process and purpose.
Repeat elements (REs) play important roles for cell function in health and disease. However, RE enrichment analysis in short-read high-throughput sequencing (HTS) data, such as ChIP-seq, is a challenging task. Here, we present RepEnTools, a software package for genome-wide RE enrichment analysis of ChIP-seq and similar chromatin pulldown experiments. Our analysis package bundles together various software with carefully chosen and validated settings to provide a complete solution for RE analysis, starting from raw input files to tabular and graphical outputs. RepEnTools implementations are easily accessible even with minimal IT skills (Galaxy/UNIX). To demonstrate the performance of RepEnTools, we analysed chromatin pulldown data by the human UHRF1 TTD protein domain and discovered enrichment of TTD binding on young primate and hominid specific polymorphic repeats (SVA, L1PA1/L1HS) overlapping known enhancers and decorated with H3K4me1-K9me2/3 modifications. We corroborated these new bioinformatic findings with experimental data by qPCR assays using newly developed primate and hominid specific qPCR assays which complement similar research tools. Finally, we analysed mouse UHRF1 ChIP-seq data with RepEnTools and showed that the endogenous mUHRF1 protein colocalizes with H3K4me1-H3K9me3 on promoters of REs which were silenced by UHRF1. These new data suggest a functional role for UHRF1 in silencing of REs that is mediated by TTD binding to the H3K4me1-K9me3 double mark and conserved in two mammalian species. RepEnTools improves the previously available programmes for RE enrichment analysis in chromatin pulldown studies by leveraging new tools, enhancing accessibility and adding some key functions. RepEnTools can analyse RE enrichment rapidly, efficiently, and accurately, providing the community with an up-to-date, reliable and accessible tool for this important type of analysis.
Repeat induced abortion is a serious public health issue that has been linked to adverse maternal health outcomes. However, knowledge about repeat induced abortion and its associated factors among reproductive age women in Ghana is very scarce. The objective of this study is to examine individual and community factors associated with repeat induced abortion in Ghana which would be helpful to design appropriate programmes and policies targeted at improving the sexual and reproductive health of women. We used secondary cross-sectional data from the 2017 Ghana Maternal Health Survey. The study included a weighted sample of 4917 women aged 15-49 years with a history of induced abortion. A multivariable complex sample logistic regression analysis was used to investigate individual and community factors associated with repeat induced abortion among women in Ghana. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) was used to measure the association of variables. Of the 4917 reproductive women with a history of abortion, 34.7% have repeat induced abortion. We find that, compared to women who experience single induced abortion, women who experience repeat abortion are age 25-34 years (AOR:2.16;95%CI = 1.66-2.79) or 35-49 years (AOR:2.95;95%CI:2.18-3.99), have Middle/JHS education (AOR:1.69;95%CI = 1.25-12.27), use contraceptive at the time of conception (AOR:1.48: 95%CI = 1.03-2.14), had sexual debut before 18 years (AOR:1.57; 95%CI: 1.33-1.85) and reside in urban areas (AOR:1.29;95%CI = 1.07-1.57). On the other hand, women who reside in Central (AOR:0.68;95%CI: 0.49-0.93), Northern (AOR:0.46;95%CI:0.24-0.88), Upper West (AOR:0.24; 95%CI: 0.12-0.50) and Upper East (AOR:0.49; 95%CI = 0.24-0.99) regions were less likely to have repeat induced abortion. The study showed that both individual and community level determinants were significantly associated with repeat induced abortion. Based on the findings, it is recommended to promote sexual and reproductive health education and more emphasis should be given to adult, those with early sexual debut, those with Middle/JHS education and those who live in urban centers.
Replicated evidence shows a weak or non-significant correlation between different methods of evaluating executive functions (EF). The current study investigates the association between rating scales and cognitive tests of EF in a sample of children with ADHD and executive dysfunction. The sample included 139 children (aged 6-13) diagnosed with ADHD and executive dysfunctions. The children completed subtests of the Cambridge Neuropsychological Test Automated Battery (CANTAB). Parents completed the Behavior Rating Inventory of Executive Function (BRIEF) and the Children's Organizational Skills Scale (COSS). Pairwise Spearman correlations were calculated between the composite and separate subscales of cognitive tests and rating scales. In secondary analyses, pairwise Spearman correlations were conducted between all composite scales and subscales, stratified by child sex and child ADHD subtype. The correlation analyses between composite scores yielded no significant correlations. The results when comparing CANTAB TO and BRIEF GE are r=-.095, p=.289, and r=.042, p=.643 when comparing CANTAB TO and COSS TO. The analyses between all composite scales and subscales found one significant negative correlation (r=-.25, p<.01). There are significant cross-method differences when stratified by the ADHD-Inattentive subtype, showing significant negative correlations (moderate) between CANTAB and BRIEF composite (r=-.355, p=.014) and subscales. It is possible that the different methods measure different underlying constructs of EF. It may be relevant to consider the effects of responder bias and differences in ecological validity in both measurement methods. The results found no significant correlations. The expectation in research and clinical settings should not be to find the same results when comparing data from cognitive tests and rating scales. Future research might explore novel approaches to EF testing with a higher level of ecological validity, and designing EF rating scales that capture EF behaviors more so than EF cognition.
Reporting is a mechanism for funding organisations to monitor and manage the progress, outputs, outcomes, and impacts of the research they fund. Inconsistent approaches to reporting and post-award management, and a growing demand for research information, can lead to perception of unnecessary administrative effort that impacts on decision-making and research activity. Identifying this effort, and what stakeholders see as unmet need for improvement, is crucial if funders and Higher Education Institutions (HEIs) are to streamline their practices and provide better support with reporting activities. In this review, we summarise the processes in post-award management, compare current practices, and explore the purpose of collecting information on funded research. We also identify areas where unnecessary effort is perceived and improvement is needed, using previously reported solutions to inform recommendations for funders and HEIs. We conducted a scoping review of the relevant research and grey literature. Electronic searches of databases, and manual searches of journals and funder websites, resulted in inclusion of 52 records and 11 websites. Information on HEI and funder post-award management processes was extracted, catalogued, and summarised to inform discussion. Post-award management is a complex process that serves many purposes but requires considerable effort, particularly in the set up and reporting of research. Perceptions of unnecessary effort stem from inefficiencies in compliance, data management and reporting approaches, and there is evidence of needed improvement in mechanisms of administrative support, research impact assessment, monitoring, and evaluation. Solutions should focus on integrating digital systems to reduce duplication, streamlining reporting methods, and improving administrative resources in HEIs. Funders and HEIs should work together to support a more efficient post-award management process. The value of research information, and how it is collected and used, can be improved by aligning practices and addressing the specific issues highlighted in this review.
Representativeness in physical activity randomised controlled trials (RCT) in breast cancer patients is essential to analyses of feasibility and validity considering privileged- social groups. A step-by-step exclusion of less privileged groups through the trial process could reinforce health inequality. This study aimed at examining representativeness in breast cancer (BC) physical activity trials, investigate associations between socio-economic status (SES) and intervention adherence, and explore associations between representativeness and the relationship between SES and intervention adherence. Systematic, computerised searches were performed in PubMed, CINAHL, AMED, EMBASE and PsycINFO. Additional citation-based searches retrieved 37 articles. Distributions of education level, ethnicity, and marital status in study samples were compared to national populations data to estimate representativeness in less privileged groups. A preponderance of studies favoured educated, married and white patients. Only six studies reported SES-adherence associations, hampering conclusions on this relationship and possible associations between representativeness and an SES-adherence relationship. Less educated, unmarried and non-white individuals may be underrepresented in BC physical activity RCTs, while SES-adherence associations in such trials are inconclusive. Unintentional social misrepresentations may indicate that disguised inequity warrants revived attention.