Yoxas/statistical_literacy huggingface dataset:
Recent studies in cognitive development suggest that preschoolers may not be able to represent alternative possibilities, and therefore may lack modal concepts such as possible, impossible, and necessary (Leahy & Carey, 2020). We present two experiments adapted from previous probability studies but have a similar logical structure as those used in the previous modal reasoning tasks (Leahy, 2023; Leahy, Huemer, Steele, Alderete, & Carey, 2022; Mody & Carey, 2016). Three-year-old children have to choose between a gumball machine that must produce the desired gumball color and a gumball machine that merely might produce the desired gumball color. Results provide preliminary evidence that three-year-old children can represent multiple incompatible possibilities, and therefore have modal concepts. Implications for the study of modal cognition, and how possibility and probability may be related are discussed.
Recent trials have demonstrated clinical benefits to a combined orthoplastic approach for complex reconstructive surgery of the hand, upper and lower extremity. We sought to assess recent trends in exposure to orthoplastic-type procedures among plastic surgery residents training in the United States. Independent plastic surgery residents' case logs were extracted from the Accreditation Council for Graduate Medical Education (2011-2022). Select reconstructive procedure were taken as proxies for orthoplastic-type cases and analyzed by descriptive statistical analysis. The average number of orthoplastic-type cases completed per resident per year increased from 168.2 to 189.2 (12.5% increase) between 2011-2022. The greatest increase was in exposure to peripheral nerve injury repair of the hand and upper extremity (22.6 to 39.1, 73% increase). As a proportion of total procedures during the study period, orthoplastic-type procedures remained relatively unchanged (range 9.5-10.4%). Our findings suggest that plastic surgery residents may be increasingly well-prepared to contribute to orthoplastic care during and following their training. The steady proportion of cases that orthoplastic-type procedures represented over the study period suggests the increase in relevant orthoplastic case volume may be incidental and secondary to an overall rise among all procedures. Given evidence of the benefits of an orthoplastic approach, we recommend consideration of explicit benchmarks for orthoplastic training among plastic surgery residents.
Recent works have reported the SECTORS model for non-technical skills learning in healthcare. The TINSELS programme applied this model, together with complexity theory, to guide the design and piloting of a non-technical skills based simulation training programme in the context of medicines safety. The SECTORS model defined learning outcomes. Complexity Theory led to a simulation intervention that employed authentic multi-professional learner teams, included planned and unplanned disturbances from the norm and used a staged debrief to encourage peer observation and learning. Assessment videos of non-technical skills in each learning outcome were produced and viewed as part of a Non-Technical Skills Observation Test (NOTSOT) both preintervention and postintervention. Learner observations were assessed by two researchers and statistical difference investigated using a student's t test. The resultant intervention is described and available from the authors. Eighteen participants were recruited from a range of inter-professional groups and were split into two cohorts. There was a statistically significant improvement (p=0.0314) between the Mean (SD) scores for the NOTSOT pre course 13.9 (2.32) and postcourse 16.42 (3.45). An original, theoretically underpinned, multiprofessional, simulation based training programme has been produced by the integration of the SECTORS model for non-technical skills learning the complexity theory. This pilot work suggests the resultant intervention can enhance non-technical skills.
Recent years have demonstrated an increase in caesarean section (CS) in most countries worldwide with considerable concern for the potential consequences. In 2015, WHO proposed the use of Robson classification as a global standard for assessing, monitoring and comparing CS rates. Currently, there is no standardized method to assess CS in Myanmar. The aim of this study was to explore health provider's perceptions about the feasibility, acceptability and readiness to implement the Robson classification in public hospitals across Myanmar. Ten maternities were purposively chosen, including all five teaching hospitals (tertiary referral hospital-level) affiliated to each medical university in Myanmar, which provide maternal and newborn care services, and district/township hospitals. Face-to-face in-depth interviews (IDI) with healthcare providers and facility administrators were conducted using semi-structured discussion guides. Facility and medical records systems were also assessed. We used the thematic analysis approach and Atlas.ti qualitative analysis software. A total of 67 IDIs were conducted. Most participants had willingness to implement Robson classification if there were sufficient human resources and training. Limited human resources, heavy workloads, and infrastructure resources were the major challenges described that may hinder implementation. The focal person for data entry, analysis, or reporting could be differed according to the level of facility, availability of human resources, and ability to understand medical terms and statistics. The respondents mentioned the important role of policy enforcement for the sustainability of data collection, interpretation and feedback. The optimal review interval period could therefore differ according to the availability of responsible persons, and the number of births. However, setting a fixed schedule according to the specific hospital for continuous monitoring of CS rate is required. In Myanmar, implementation of Robson classification is feasible while key barriers mainly related to human resource and training must be addressed to sustain.
Recent years have seen increasing scientific interest in whether neuron counts can act as correlates of diverse biological phenomena. Lately, Herculano-Houzel (2023) argued that fossil endocasts and comparative neurological data from extant sauropsids allow to reconstruct telencephalic neuron counts in Mesozoic dinosaurs and pterosaurs, which might act as proxies for behaviors and life history traits in these animals. According to this analysis, large theropods such as Tyrannosaurus rex were long-lived, exceptionally intelligent animals equipped with "macaque- or baboon-like cognition", whereas sauropods and most ornithischian dinosaurs would have displayed significantly smaller brains and an ectothermic physiology. Besides challenging established views on Mesozoic dinosaur biology, these claims raise questions on whether neuron count estimates could benefit research on fossil animals in general. Here, we address these findings by revisiting Herculano-Houzel's (2023) work, identifying several crucial shortcomings regarding analysis and interpretation. We present revised estimates of encephalization and telencephalic neuron counts in dinosaurs, which we derive from phylogenetically informed modeling and an amended dataset of endocranial measurements. For large-bodied theropods in particular, we recover significantly lower neuron counts than previously proposed. Furthermore, we review the suitability of neurological variables such as neuron numbers and relative brain size to predict cognitive complexity, metabolic rate and life history traits in dinosaurs, coming to the conclusion that they are flawed proxies for these biological phenomena. Instead of relying on such neurological estimates when reconstructing Mesozoic dinosaur biology, we argue that integrative studies are needed to approach this complex subject.
Recently historians and philosophers of science have been interested in the role of statistics and probability in investigating population variation. The focus is typically on investigators applying statistics and probability to explain large scale phenomenon that arise out of the collective behavior of numerous and varied individuals. The case studies that inform this work come mostly from molecular physics and 20th century genetical versions of evolutionary theory. Charles Darwin's work on evolution is rarely mentioned in this context except to point out his shortcomings-he made evolutionary theory "ripe" for statistical investigations, but he was not a statistical thinker. But this is a mistake, Darwin was a statistical thinker. In this essay I describe two instances where Darwin utilized statistical methods to investigate evolution. In the light of these cases, we ought to revise our views about Darwin's scientific methodology, in particular, how he came to develop his ideas about evolution and about the nature of his "population thinking". Furthermore, Darwin's cases provide us with an expanded view about what constitutes "statistical thinking" in the biological sciences. In the examples we will find Darwin using statistical measures of type frequencies to detect large scale ensemble effects, confirm hypotheses by comparing between expected and observed averages, and applying the astronomer's law of error to explain evolutionary trends.
Recently, an increasing number of studies have investigated the mechanism of action of lactobacilli in the treatment of non-alcoholic fatty liver disease (NAFLD). Using four computational tools (NormFinder, geNorm, Delta Ct, and BestKeeper), six potential reference genes (RG) were analyzed in the human liver cell line HepG2 cultivated 24 hours in the presence of two strains of heat-killed lactobacilli, Limosilactobacillus reuteri E and Lactiplantibacillus plantarum KG4, respectively, in different cultivation media (DMEM high glucose (HG) or RPMI). The analysis revealed that the suitability of RG was similar between the two lactobacilli but quite different between the two media. The commonly used RGs, 18S rRNA and GAPDH were the most unstable in DMEM HG. Normalization of the mRNA expression of the target gene encoding sterol regulatory element-binding protein (SREBP-1c) to different RGs resulted in different expression profiles. This demonstrates that validation of candidate RGs under specific experimental conditions is crucial for the correct interpretation of qPCR data. In addition, the choice of media has a profound impact on the effect of lactobacilli on lipogenesis at the gene expression level, as shown by the transcription factor SREBP-1c.
Recently, both science and technology faculty have been recognizing biological research competencies that are valued but rarely assessed. Some of these valued learning outcomes include scientific methods and thinking, critical assessment of primary papers, quantitative reasoning, communication, and putting biological research into a historical and broader social context. This article presents examples of Calibrated Peer Review (CPR) assignments that illustrate a computer-assisted method to help students achieve biological research competencies. A new release of CPR is appropriate for engaging students online in reading and writing about investigations. A participant perception inventory was designed for use as a repeated measure to discriminate among beginning, middle, and ending student perceptions. Examples are provided to demonstrate how to assess student perceptions of what they gain from instruction related to science research competencies. Results suggest that students in a large enrollment class consider CPR to be useful for helping them learn about quantitative and categorical research variables; the use of the experimental method to test ideas; the use of controls; analysis, interpretation, and presentation of data; and how to critically read primary papers.
Recently, cognitive deficits occurring in rheumatic diseases have attracted scientific attention. Cognitive symptoms in patients with Rheumatoid Arthritis (RA) and Systemic Sclerosis (SSc) have not been thoroughly studied. This study aimed to assess cognitive function and its relationship with depressive symptoms in RA and SSc and compare it to mild neurocognitive disorder due to Alzheimer's disease (MiND) and to individuals without cognitive impairment. Cognitive function and depressive symptoms were tapped with the Cognitive Telephone Screening Instrument plus (COGTEL+), the Serial Seven Test (SST), the Mini-Mental State Examination (MMSE) and the Geriatric Depression scale-15 (GDS), respectively. Statistical analyses included between groups-, correlation- and regression analyses. Demographic characteristics were considered in the regression models. The study included 30 individuals with RA, 24 with SSc, 26 adults without cognitive impairment and 33 individuals with MiND. Lower performance in verbal short-term memory, concentration/attention, verbal fluency and MMSE in patients with RA compared to individuals without cognitive impairment was detected. Of note, performance on verbal fluency, concentration/attention, inductive reasoning and MMSE was lower in RA compared to MiND. Individuals with SSc performed worse in verbal fluency and in MMSE in comparison to adults without cognitive deficits. Verbal fluency deficits in SSc exceeded that in MiND. Performance on MMSE, COGTEL+, prospective memory, working memory, verbal fluency and concentration/attention was related to GDS scores, which did not vary across the groups. Patients with RA and SSc encountered cognitive dysfunction, which partially pertains to depressive symptoms. Of note, the severity of cognitive dysfunction in many cases exceeded that of MiND.
Recently, digital media, including internet websites and smartphone apps, have become popular resources for parents in searching for child health care information. Higher health literacy among parents in obtaining adequate health care information and making proper decisions may lead to improved child health outcomes and a reduction in the burden on health care professionals. However, few studies have examined the association between the provision of child health care information apps and parents' health literacy. This study aims to evaluate whether parents' use of an app that provides child health care information is associated with their health care knowledge, their health literacy, and emergency room visits for their children. Participants were recruited during checkups for their 1.5-year-old children at health centers within Saku City in 2022. Parents who agreed to participate were included in this study; individuals were excluded if they were not the mother or father of the child or did not have a smartphone. Participants were asked if they had used the Oshiete-Doctor app, which was distributed by Saku City free of charge to improve the home nursing skills of parents and guardians. Sociodemographic data of parents and children, data on health care knowledge about children, data on the frequency of emergency room visits in the past 6 months, and health literacy scores (HLSs) of parents (measured with the HLS-EU-Q47 [European Health Literacy Survey Questionnaire]) were collected from participants in this cross-sectional survey. Univariable and multivariable analyses were conducted to examine the associations of app use with health care knowledge, health literacy, and emergency room visits. In total, 251 respondents completed the survey (response rate: 251/267, 94%). Although the proportion of health care workers was significantly higher among app users than among non-app users (P=.005), no other participant attributes were significantly associated with the use of the app. The proportions of participants with higher health care knowledge and participants with higher total HLSs were significantly higher among app users than among non-app users (P=.001 and P=.003, respectively). After adjusting for potentially confounding covariates, these proportions were still significantly higher among app users than among non-app users (P=.02 and P=.007, respectively). Emergency room visits were significantly more frequent among app users than among non-app users (P=.007) in the univariable analysis, but the association was not significant (P=.07) after adjusting for sociodemographic variables. This study showed a significant association between parents' use of a child health care information app and higher child health care knowledge and health literacy. The use of the app may lead to more appropriate health decisions and behaviors in children's health care. Future studies are needed to evaluate the association between app use and emergency room visits.
Recently, explainability in machine and deep learning has become an important area in the field of research as well as interest, both due to the increasing use of artificial intelligence (AI) methods and understanding of the decisions made by models. The explainability of artificial intelligence (XAI) is due to the increasing consciousness in, among other things, data mining, error elimination, and learning performance by various AI algorithms. Moreover, XAI will allow the decisions made by models in problems to be more transparent as well as effective. In this study, models from the 'glass box' group of Decision Tree, among others, and the 'black box' group of Random Forest, among others, were proposed to understand the identification of selected types of currant powders. The learning process of these models was carried out to determine accuracy indicators such as accuracy, precision, recall, and F1-score. It was visualized using Local Interpretable Model Agnostic Explanations (LIMEs) to predict the effectiveness of identifying specific types of blackcurrant powders based on texture descriptors such as entropy, contrast, correlation, dissimilarity, and homogeneity. Bagging (Bagging_100), Decision Tree (DT0), and Random Forest (RF7_gini) proved to be the most effective models in the framework of currant powder interpretability. The measures of classifier performance in terms of accuracy, precision, recall, and F1-score for Bagging_100, respectively, reached values of approximately 0.979. In comparison, DT0 reached values of 0.968, 0.972, 0.968, and 0.969, and RF7_gini reached values of 0.963, 0.964, 0.963, and 0.963. These models achieved classifier performance measures of greater than 96%. In the future, XAI using agnostic models can be an additional important tool to help analyze data, including food products, even online.
Recently, it has become evident that cognitive abilities such as the approximate number system (ANS), number knowledge, and intelligence affect individuals' fundamental mathematical ability. However, it is unclear which of these cognitive abilities have the greatest impact on the non-symbolic division ability in preschoolers. Therefore, in the present study, we included 4- to 6-year-old Korean preschoolers without prior formal education of division in order to test their ability to solve non-symbolic division problems, ANS acuity, and intelligence, and to determine the interrelationships among those functions (N = 38). We used the Panamath Dot Comparison Paradigm to measure the ANS acuity, employed non-symbolic division tasks to measure the ability to solve non-symbolic division problems, and measured the intelligence using the Korean version of the WPPSI-IV (Wechsler Preschool Primary Scale of Intelligence-IV). Our results showed that, in all conditions of the non-symbolic division tasks, the 4- to 6-years old children were able to perform better than chance level. Additionally, in a relatively easy condition, the children's performance showed a significant positive correlation with full-scale intelligence quotient (FSIQ) and ANS acuity; however, in a more complex condition, only FSIQ was significantly correlated with their performance. Overall, we found significant relationships between the children's performance in the non-symbolic division tasks and verbal comprehension, fluid reasoning, and processing speed index. Taken together, our findings demonstrate that preschoolers without formal education on the arithmetic problem solving can solve non-symbolic division problems. Moreover, we suggest that both FSIQ and ANS ability play essential roles in children's ability to solve non-symbolic division problems, highlighting the significance of intelligence on children's fundamental mathematical ability.
Recently, public health data dashboards have gained popularity as trusted, up-to-date sources of health information. However, their usability and usefulness may be limited. To identify the requirements of usable public health data dashboards through a case study with domain experts. Paired-user virtual data collection sessions were conducted with 20 experts in three steps: (1) a monitored use of an existing dashboard to complete tasks and discuss the usability problems, (2) a survey rating user experience, and (3) an interview regarding the users and use cases. Data analysis included quantitative analysis of the survey findings and thematic analysis of the audio transcripts. Analyses yielded several findings: (1) familiar charts with clear legends and labels should be used to focus users' attention on the content; (2) charts should be organized in a simple and consistent layout; (3) contextual information should be provided to help with interpretations; (4) data limitations should be clearly communicated; (5) guidance should be provided to lead user interactions. The identified requirements guide health librarians and information professionals in evaluating public health data dashboards. Public health data dashboards should be designed based on users' needs to provide useful up-to-date information sources for health information consumers.
Recently, the employee turnover rate of the modern service industry has continued to increase, leading to a decline in the service quality, customer turnover, and an increase in human costs. Meanwhile, fierce competition and enterprises' internal pressure have brought great psychological trauma to employees and affected their mental health. Understanding and finding out the factors that affect employees' resignations are the solutions to employees' mental health problems. The research innovation lies in building a relationship model between turnover intention, psychological contract, and job satisfaction; analyzing the influence mechanism and interaction of various variables in the model; and providing reference and thinking for the service industry to solve the problem of excessive turnover of employees. Besides, the questionnaire design and investigation are carried out, and 60 front-line employees of a service company are selected as the research objects. The results show that the overall internal consistency coefficient of SCL-90 is 0.96, and the overall consistency coefficient is directly proportional to the scale's reliability. The validity coefficient of SCL-90 is 0.79, which has good compatibility validity. Moreover, the correlation coefficient between the psychological contract and turnover intention is 0.621, and the Sig value is 0.00. The correlation coefficient between job satisfaction and turnover intention is -0.663, and the Sig value is 0.00. The psychological contract is positively correlated with turnover intention, and job satisfaction is negatively correlated with turnover intention. After the standard dance experiment, the P values of psychological indicators such as somatization, interpersonal relationship, depression, anxiety, and psychosis factors of employees in the control and experimental groups are all less than 0.05, indicating a significant correlation. Therefore, through 12 weeks of standard dance practice, all psychological indicators of the experimental group are significantly improved. However, the change results of the terror factor and paranoia factor are P > 0.05, showing no significant difference. After the standard dance experiment, there is a significant difference between the control and experimental groups in mental health factors, but no significant difference in terror and paranoia factors. This study has significant reference value for the prevention of employee turnover and mental health.