Yoxas/statistical_literacy huggingface dataset:
Most online chemical reaction databases are not publicly accessible or are fully downloadable. These databases tend to contain reactions in noncanonicalized formats and often lack comprehensive information regarding reaction pathways, intermediates, and byproducts. Within the few publicly available databases, reactions are typically stored in the form of unbalanced, overall transformations with minimal interpretability of the underlying chemistry. These limitations present significant obstacles to data-driven applications including the development of machine learning models. As an effort to overcome these challenges, we introduce PMechDB, a publicly accessible platform designed to curate, aggregate, and share polar chemical reaction data in the form of elementary reaction steps. Our initial version of PMechDB consists of over 100,000 such steps. In the PMechDB, all reactions are stored as canonicalized and balanced elementary steps, featuring accurate atom mapping and arrow-pushing mechanisms. As an online interactive database, PMechDB provides multiple interfaces that enable users to search, download, and upload chemical reactions. We anticipate that the public availability of PMechDB and its standardized data representation will prove beneficial for chemoinformatics research and education and the development of data-driven, interpretable models for predicting reactions and pathways. PMechDB platform is accessible online at https://deeprxn.ics.uci.edu/pmechdb.
Most patients with heart failure (HF) have multimorbidity which may cause difficulties with self-management. Understanding the resources patients draw upon to effectively manage their health is fundamental to designing new practice models to improve outcomes in HF. We describe the rationale, conceptual framework, and implementation of a multi-center survey of HF patients, characterize differences between responders and non-responders, and summarize patient characteristics and responses to the survey constructs among responders. This was a multi-center cross-sectional survey study with linked electronic health record (EHR) data. Our survey was guided by the Chronic Care Model to understand the distribution of patient-centric factors, including health literacy, social support, self-management, and functional and mental status in patients with HF. Most questions were from existing validated questionnaires. The survey was administered to HF patients aged ≥ 30 years from 4 health systems in PCORnet® (the National Patient-Centered Clinical Research Network): Essentia Health, Intermountain Health, Mayo Clinic, and The Ohio State University. Each health system mapped their EHR data to a standardized PCORnet Common Data Model, which was used to extract demographic and clinical data on survey responders and non-responders. Across the 4 sites, 10,662 patients with HF were invited to participate, and 3330 completed the survey (response rate: 31%). Responders were older (74 vs. 71 years; standardized difference (95% CI): 0.18 (0.13, 0.22)), less racially diverse (3% vs. 12% non-White; standardized difference (95% CI): -0.32 (-0.36, -0.28)), and had higher prevalence of many chronic conditions than non-responders, and thus may not be representative of all HF patients. The internal reliability of the validated questionnaires in our survey was good (range of Cronbach's alpha: 0.50-0.96). Responders reported their health was generally good or fair, they frequently had cardiovascular comorbidities, > 50% had difficulty climbing stairs, and > 10% reported difficulties with bathing, preparing meals, and using transportation. Nearly 80% of patients had family or friends sit with them during a doctor visit, and 54% managed their health by themselves. Patients reported generally low perceived support for self-management related to exercise and diet. More than half of patients with HF managed their health by themselves. Increased understanding of self-management resources may guide the development of interventions to improve HF outcomes.
Most people in modern society enjoy various benefits due to the development of information and communication technology and smart technology in modern society. However, due to the digital divide, there is a social class that cannot enjoy abundant benefits. The representative class is the class of older people. In the latest four-year national report on the status of the digital divide, the class with largest digital divide among various information disadvantaged groups, such as the disabled, the low-income class, farmers and fishermen, and older people, is the class of older people. In this study, the causes of the digital divide among older people in Korea are analyzed from various perspectives. To this end, various statistical analyses have been conducted based on national statistical survey works over the past four years. The digital informatization level, which is an index used to measure the digital divide, can be classified into three main components: information access, information capability, and information utilization. Among the three components, the information capability is found to be the lowest. Information capability can also be divided into three components for PCs and mobile devices: installation, use, and management. Among them, management capability was found to be the lowest. Based on this analysis, various plans to reduce the digital divide among older people were proposed.
Most people with mental health problems do not seek help, with delays of even decades in seeking professional help. Lack of engagement with professional mental health services can lead to poor outcomes and functional impairment. However, few effective interventions have been identified to improve help-seeking in adults, and those that exist are not widely implemented to deliver public health impact. Co-designing interventions with people with lived experience of mental ill-health and other relevant stakeholders is critical to increase the likelihood of uptake and engagement with these programs. This study aims to (1) test the effectiveness of a co-designed help-seeking program on increasing professional help-seeking intentions in employees in a workplace setting; (2) determine whether the program reduces mental illness stigma and improves help-seeking intentions and behavior, mental health literacy, mental health symptoms, and work and activity functioning relative to the control condition; (3) explore factors that facilitate broader implementation of the co-designed program; and (4) explore the cost-effectiveness of the co-designed program compared to the control condition over 6 months. A 2-arm cluster randomized controlled trial will be conducted (target sample: N=900 from 30 to 36 workplaces, with n=25 to 35 participants per workplace). The trial will compare the relative effectiveness of an enhanced interactive program (intervention condition) with a standard psychoeducation-alone program (active control condition) on the primary outcome of professional help-seeking intentions as measured by the General Help-Seeking Questionnaire. Secondary outcomes include the impact on mental illness stigma; mental health literacy; help-seeking attitudes and behavior; work and activity functioning; quality of life; and symptoms of mental ill-health including depression, anxiety, and general psychological distress. Facilitators of and risks to the trial are identified and addressed in this protocol. Recruitment of workplaces is scheduled to commence in the first quarter of 2024. If effective, the program has the potential to be ready for rapid dissemination throughout Australia, with the potential to increase appropriate and efficient service use across the spectrum of evidence-based services. Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12623000270617p; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385376. PRR1-10.2196/55529.
Most prescriptions for sedative-hypnotics are written by family physicians. Given the influence of preceptors on residents' prescribing, this study explored how family physician preceptors manage sleeping problems. Family physician preceptors affiliated with a postgraduate training program in Alberta were invited to participate in this mixed-methods study, conducted from January to October 2021. It included a quantitative survey of preceptors' attitudes to treatment options for sleep disorder, perceptions of patient expectations and self-efficacy beliefs. Participants indicated their responses on a 5-point Likert scale ranging from "strongly disagree" to "strongly agree." Respondents were then asked whether they were interested in participating in a semistructured qualitative interview that elicited preceptors' management of sleep disorder in response to a series of vignettes. We analyzed the quantitative data using descriptive statistics and the qualitative interviews using thematic analysis. Of the 76 preceptors invited to participate, 47 (62%) completed the survey, and 10 were interviewed. Thirty-two survey respondents (68%) were in academic teaching clinics, and 15 (32%) were from community clinics. The majority of participants (34 [72%]) agreed they had sufficient expertise to use nondrug treatment. Most (43 [91%]) had made efforts to reduce prescribing, and 45 (96%) felt able to support patients empathically when not using sleeping medication. The qualitative data showed that management of sleeping disorder was emotionally challenging. Participants hesitated to prescribe sedatives and reported "exceptions" to prescribing, many of which included indications within guideline recommendations. Participants were reluctant to change a colleague's management. Preceptors were confident using nonpharmacologic management to treat sleep disorder and hesitant to use sedative-hypnotics, presenting legitimate use of sedatives as exceptional behaviour. Acknowledging social norms and affective aspects involved in prescribing may support balanced prescribing of sedative-hypnotics for sleep disorder and reduce physician anxiety.
Most reasoning tasks used in behavioral and neuroimaging studies are abstract, triggering slow, effortful processes. By contrast, most of everyday life reasoning is fast and effortless, as when we exchange arguments in conversation. Recent behavioral studies have shown that reasoning tasks with the same underlying logic can be solved much more easily if they are embedded in an argumentative context. In the present article, we study the neural bases of this type of everyday, argumentative reasoning. Such reasoning is both a social and a metarepresentational process, suggesting it should share some mechanisms, and thus some neural bases, with other social, metarepresentational process such as pragmatics, metacognition, or theory of mind. To isolate the neural bases of argumentative reasoning, we measured fMRI activity of participants who read the same statement presented either as the conclusion of an argument, or as an assertion. We found that conclusions of arguments, compared to assertions, were associated with greater activity in a region of the medial prefrontal cortex that was identified in quantitative meta-analyses of studies on theory of mind. This study shows that it is possible to use more ecologically valid tasks to study the neural bases of reasoning, and that using such tasks might point to different neural bases than those observed with the more abstract and artificial tasks typically used in the neuroscience of reasoning. Specifically, we speculate that reasoning in an argumentative context might rely on mechanisms supporting metarepresentational processes in the medial prefrontal cortex.
Most research on individual differences in performance on tests of cognitive ability focuses on general cognitive ability (g), the highest level in the three-level Cattell-Horn-Carroll (CHC) hierarchical model of intelligence. About 50% of the variance of g is due to inherited DNA differences (heritability) which increases across development. Much less is known about the genetics of the middle level of the CHC model, which includes 16 broad factors such as fluid reasoning, processing speed, and quantitative knowledge. We provide a meta-analytic review of 747,567 monozygotic-dizygotic twin comparisons from 77 publications for these middle-level factors, which we refer to as specific cognitive abilities (SCA), even though these factors are not independent of g. Twin comparisons were available for 11 of the 16 CHC domains. The average heritability across all SCA is 56%, similar to that of g. However, there is substantial differential heritability across SCA and SCA do not show the developmental increase in heritability seen for g. We also investigated SCA independent of g (SCA.g). A surprising finding is that SCA.g remain substantially heritable (53% on average), even though 25% of the variance of SCA that covaries with g has been removed. Our review highlights the need for more research on SCA and especially on SCA.g. Despite limitations of SCA research, our review frames expectations for genomic research that will use polygenic scores to predict SCA and SCA.g. Genome-wide association studies of SCA.g are needed to create polygenic scores that can predict SCA profiles of cognitive abilities and disabilities independent of g.
Most students have difficulty reasoning about chance events, and misconceptions regarding probability can persist or even strengthen following traditional instruction. Many biostatistics classes sidestep this problem by prioritizing exploratory data analysis over probability. However, probability itself, in addition to statistics, is essential both to the biology curriculum and to informed decision making in daily life. One area in which probability is particularly important is medicine. Given the preponderance of pre health students, in addition to more general interest in medicine, we capitalized on students' intrinsic motivation in this area to teach both probability and statistics. We use the randomized controlled trial as the centerpiece of the course, because it exemplifies the most salient features of the scientific method, and the application of critical thinking to medicine. The other two pillars of the course are biomedical applications of Bayes' theorem and science and society content. Backward design from these three overarching aims was used to select appropriate probability and statistics content, with a focus on eliciting and countering previously documented misconceptions in their medical context. Pretest/posttest assessments using the Quantitative Reasoning Quotient and Attitudes Toward Statistics instruments are positive, bucking several negative trends previously reported in statistics education.
Most U.S. K-12 schools have adopted safety tactics and policies like arming teachers and installing metal detectors, to address intentional school gun violence. However, there is minimal research on their effectiveness. Furthermore, sociodemographic factors may influence their implementation. Controlled studies are necessary to investigate their impact on gun violence and related disciplinary outcomes. The paper outlines the protocol for a case-control study examining gun violence prevention policies in U.S. K-12 schools. The study aims to investigate if there is an association between the total number and type of specific safety tactics and policies and the occurrence of intentional shootings in K-12 public schools, student disciplinary outcomes, and if urbanicity, economic, and racial factors modify these associations. We will create a nationally representative dataset for this study and ascertain a full census of case schools (schools that experienced intentional gunfire on the campus during school hours since 2015) through national school shooting databases. Matched control schools will be randomly selected from U.S. Department of Education's national database of all public schools. We will analyze 27 school safety strategies organized into seven key exposure groupings. Supported by the National Institutes for Child Health and Development (R01HD108027-01) and having received Institutional Review Board approval, our study is currently in the data collection phase. Our analytical plan will determine the association between the number and type of school safety tactics and policies with the occurrence of intentional shootings and suspensions and expulsions in a national sample of approximately 650 K-12 public schools. Additional analyses will investigate the effect modification of specific covariates. As the first national, controlled study, its results will provide novel and needed data on the effectiveness of school safety tactics and policies in preventing intentional shootings at K-12 public schools.
Mother-to-child transmission (MTCT) accounts for 90% of all new paediatric HIV infections in Nigeria and for approximately 30% of the global burden. This study aimed to determine the effectiveness of a training model that incorporated case managers working closely with traditional birth attendants (TBAs) to ensure linkage to care for HIV-positive pregnant women. This study was a 3-arm parallel design cluster randomized controlled trial in Ifo and Ado-Odo Ota, Ogun State, Nigeria. The study employed a random sampling technique to allocate three distinct TBA associations as clusters. Cluster 1 received training exclusively; Cluster 2 underwent training in addition to the utilization of case managers, and Cluster 3 served as a control group. In total, 240 TBAs were enrolled in the study, with 80 participants in each of the intervention and control groups. and were followed up for a duration of 6 months. We employed a one-way analysis of variance (ANOVA) statistical test to evaluate the differences between baseline and endline HIV knowledge scores and PMTCT practices. Additionally, bivariate analysis using the chi-square test was used to investigate linkage to care. Furthermore, logistic regression analysis was utilized to identify TBA characteristics associated with various PMTCT interventions, including the receipt of HIV test results and repeat testing at term for HIV-negative pregnant women. The data analysis was performed using Stata version 16.1.877, and we considered results statistically significant when p values were less than 0.05. At the end of this study, there were improvements in the TBAs' HIV and PMTCT-related knowledge within the intervention groups, however, it did not reach statistical significance (p > 0.05). The referral of pregnant clients for HIV testing was highest (93.5%) within cluster 2 TBAs, who received both PMTCT training and case manager support (p ≤ 0.001). The likelihood of HIV-negative pregnant women at term repeating an HIV test was approximately 4.1 times higher when referred by TBAs in cluster 1 (AOR = 4.14; 95% CI [2.82-5.99]) compared to those in the control group and 1.9 times in cluster 2 (AOR = 1.93; 95% CI [1.3-2.89]) compared to the control group. Additionally, older TBAs (OR = 1.62; 95% CI [1.26-2.1]) and TBAs with more years of experience in their practice (OR = 1.45; 95% CI [1.09-1.93]) were more likely to encourage retesting among HIV-negative women at term. The combination of case managers and PMTCT training was more effective than training alone for TBAs in facilitating the linkage to care of HIV-positive pregnant women, although this effect did not reach statistical significance. Larger-scale studies to further investigate the benefits of case manager support in facilitating the linkage to care for PMTCT of HIV are recommended. The study was retrospectively registered in the Pan African Clinical Trial Registry, and it was assigned the unique identification number PACTR202206622552114.
Mothers need a competent electronic health literacy (eHL) skill for beneficial gains for the health of their children in the virtual environment, which is a new health platform. We predict that a competent eHL of mothers who play a central role in early childhood will positively affect the health of their children. This study aimed to determine the level of eHL of mothers of young children and investigate the relationship between mothers' eHL and early childhood development (ECD) and early parenting practices (EPP). This cross-sectional study was conducted on mothers with children aged 36-59 months using eHealth. Sociodemographic and personal characteristics form, Early Childhood Development Module and eHealth Literacy Scale were administered to the participating mothers. The data from 440 mother-child pairs were analysed. Children of mothers with sufficient eHL levels were more likely to be Early Childhood Development Index (ECDI)-on-track, adjusted odds ratio (AOR), 95% confidence interval (CI): 2.16 (1.29-3.61); have adequate support in learning, AOR (%95 CI): 3.23 (1.69-6.18); and have adequate daily meals and snacks, AOR (%95 CI): 2.43 (1.56-3.78). These results revealed that there is a need for interventions that will contribute to child health by improving mothers' eHL levels.
Motion capture technology plays a crucial role in optimizing athletes' skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold standard in biomechanical analysis and continues to dominate sports research applications. Wearable sensor-based motion capture technology has gained significant traction in specialized areas such as winter sports, owing to its reliable system performance. Computer vision-based motion capture technology has made significant advancements in recognition accuracy and system reliability, enabling its application in various sports scenarios, from single-person technique analysis to multi-person tactical analysis. Moreover, the emerging field of multimodal motion capture technology, which harmonizes data from various sources with the integration of artificial intelligence, has proven to be a robust research method for complex scenarios. A comprehensive review of the literature from the past 10 years underscores the increasing significance of motion capture technology in sports, with a notable shift from laboratory research to practical training applications on sports fields. Future developments in this field should prioritize research and technological advancements that cater to practical sports scenarios, addressing challenges such as occlusion, outdoor capture, and real-time feedback.