Yoxas/statistical_literacy huggingface dataset:
From a cluster randomized control trial in 610 villages, the study evaluates the impact of a community-based information campaign on school outcomes in three Indian states. The campaign consisted of eleven to fourteen public meetings over two rounds in treatment villages to disseminate information to the community about its state-mandated roles and responsibilities in school management. No intervention took place in control villages. The paper reports on the final follow up survey two and half years after the campaign. Providing information improved teacher effort and learning outcomes in schools. Bigger gains were seen in the two states, Madhya Pradesh (MP) and Uttar Pradesh (UP), where baseline level of outcomes was lower than in the third state, Karnataka. The impact on teacher effort, primarily for civil-service teachers with permanent jobs and therefore lower accountability, was between 16%-43% in MP and UP. The shares of children able to do basic mathematics competencies improved. Due to low baseline learning levels, the magnitudes of the percentage increases were much larger compared to the absolute increases in shares. Fewer improvements occurred in language. This can be because of low teaching effectiveness as well as more time needed for larger and wider impacts on learning. School councils became more active after the campaign. Focus group discussions indicated discussions within communities and communities actively bringing up issues with teachers and school councils. Impacts were generally larger or broader than those at midline survey 2-4 months after one round of intervention. Overall providing information holds promise in improving public services via worker accountability.
From a long time ago, preterm birth has posed life-threatening risks due to the significant complications it causes. The present study aimed to examine how the lifestyle of pregnant women is related to the incidence of preterm birth. For this cohort study, a total of 234 individuals with healthy and unhealthy lifestyles who visited the women's clinics of Azad University hospitals during the year 2021 were randomly selected to participate. Four criteria were utilized to build lifestyle questionnaires, which included smoking habits, physical activity levels, consumption of high-fiber foods, and sufficient sleep. According to the individuals' responses, 117 mothers who scored above 14, and 117 mothers who scored below 14 were followed up. The SPSS version 25 (SPSS Inc., Chicago, Ill., USA) was used to analyze the correlation between variables and preterm birth, employing statistical tests such as Mann-Whitney, Chi-square, and independent t-test. In this study, the mean age of the examined women was 27.11 ± 3.19. Out of the total number of babies, 133 (56.8%) were females, while 101 (43.2%) were males. The P value for the association between lifestyle and preterm birth was less than 0.0001, indicating statistical significance. The difference between the consumption of tobacco, fruits, and vegetables and sufficient sleep with preterm birth was not statistically significant (P value >0.05). A healthy lifestyle can serve as an important preventive measure against preterm birth. Adequate education provided by the healthcare and treatment system plays an important role in promoting the adoption of a healthy lifestyle and benefiting from its positive outcomes.
From Ebola, Zika, to the latest COVID-19 pandemic, outbreaks of highly infectious diseases continue to reveal severe consequences of social and health inequalities. People from low socioeconomic and educational backgrounds as well as low health literacy tend to be affected by the uncertainty, complexity, volatility, and progressiveness of public health crises and emergencies. A key lesson that governments have taken from the ongoing coronavirus pandemic is the importance of developing and disseminating highly accessible, actionable, inclusive, coherent public health advice, which represent a critical tool to help people with diverse cultural, educational backgrounds and varying abilities to effectively implement health policies at the grassroots level. We aimed to translate the best practices of accessible, inclusive public health advice (purposefully designed for people with low socioeconomic and educational background, health literacy levels, limited English proficiency, and cognitive/functional impairments) on COVID-19 from health authorities in English-speaking multicultural countries (USA, Australia, and UK) to adaptive tools for the evaluation of the accessibility of public health advice in other languages. We developed an optimised Bayesian classifier to produce probabilistic prediction of the accessibility of official health advice among vulnerable people including migrants and foreigners living in China. We developed an adaptive statistical formula for the rapid evaluation of the accessibility of health advice among vulnerable people in China. Our study provides needed research tools to fill in a persistent gap in Chinese public health research on accessible, inclusive communication of infectious diseases' prevention and management. For the probabilistic prediction, using the optimised Bayesian machine learning classifier (GNB), the largest positive likelihood ratio (LR+) 16.685 (95% confidence interval: 4.35, 64.04) was identified when the probability threshold was set at 0.2 (sensitivity: 0.98; specificity: 0.94). Effective communication of health risks through accessible, inclusive, actionable public advice represents a powerful tool to reduce health inequalities amidst health crises and emergencies. Our study translated the best-practice public health advice developed during the pandemic into intuitive machine learning classifiers for health authorities to develop evidence-based guidelines of accessible health advice. In addition, we developed adaptive statistical tools for frontline health professionals to assess accessibility of public health advice for people from non-English speaking backgrounds.
From Piaget to the present, traditional and dual-process theories have predicted improvement in reasoning from childhood to adulthood, and improvement has been observed. However, developmental reversals-that reasoning biases emerge with development -have also been observed in a growing list of paradigms. We explain how fuzzy-trace theory predicts both improvement and developmental reversals in reasoning and decision making. Drawing on research on logical and quantitative reasoning, as well as on risky decision making in the laboratory and in life, we illustrate how the same small set of theoretical principles apply to typical neurodevelopment, encompassing childhood, adolescence, and adulthood, and to neurological conditions such as autism and Alzheimer's disease. For example, framing effects-that risk preferences shift when the same decisions are phrases in terms of gains versus losses-emerge in early adolescence as gist-based intuition develops. In autistic individuals, who rely less on gist-based intuition and more on verbatim-based analysis, framing biases are attenuated (i.e., they outperform typically developing control subjects). In adults, simple manipulations based on fuzzy-trace theory can make framing effects appear and disappear depending on whether gist-based intuition or verbatim-based analysis is induced. These theoretical principles are summarized and integrated in a new mathematical model that specifies how dual modes of reasoning combine to produce predictable variability in performance. In particular, we show how the most popular and extensively studied model of decision making-prospect theory-can be derived from fuzzy-trace theory by combining analytical (verbatim-based) and intuitive (gist-based) processes.
From practising a procedure, such as a lumbar puncture, to explaining the aim and method and listening to concerns, the practice of health professionals requires a range of skills, often classified into technical and non-technical skills. Just as gestures and procedures can be taught, so can empathy and communication skills. This article introduces an innovative approach that unites both necessary types of skills. The specific framework of improvisational theatre ("improv") has widespread application, including the training of health professionals (health training improv). By sharing close contexts and skills, health training improv provides a valuable, safe, and effective learning environment that allows practitioners to practice exercises and situations that align with particular objectives. We created a transdisciplinary team to develop a programme of Health Professional Training Improv (HPTI), bringing together the fields of health, psychology, simulation, and arts. Since 2019, various health student groups (nurses, midwives, medical doctors, and speech therapists) have participated in a 16-h applied improv training workshop under the supervision of a professional improv facilitator. Additionally, drama students completed applied improv for health courses, which trained them to act as simulated patients, with a view to the implementation of transdisciplinary improv simulation sessions at SimUSanté (a multidisciplinary health simulation facility located in France). Students' feedback emphasized their interest in HPTI, the realism of the simulation sessions, and the skills they felt had improved. This feedback needs to be supplemented with quantitative data from standardised assessments. The development of this rich pedagogical and research framework, based on a transdisciplinary approach, has brought different fields together to prepare students for real patient encounters. It is essential to continue this training and conduct research to evaluate the curricula developed.
From the age of 14, many adolescents enter a vulnerable developmental phase, with a sharp increase in mental illness at 16. The COVID19 pandemic has further exacerbated this issue. Hence, universal and easily accessible prevention in the young is needed. E-mental health interventions are on the rise due to numerous benefits such as potential low-costs, low-threshold and high scalability. However, effectiveness and acceptance of mobile health (mHealth) preventive interventions remain unresearched. In a two-armed, randomised controlled study design adolescents and young adults from 14 years old will be recruited. Following an initial baseline assessment, they will be randomised to a) the intervention group (IG, n = 75), which will receive a mHealth intervention (the application 'Mental Health Guide', co-developed by lived experience experts) or b) the waiting list control group (CG, n = 75). Both groups will be followed up after 3 and 6 months following post assessment. We hypothesize an increase in mental health literacy in the IG compared to the CG for post and follow-up assessment (primary outcome: Mental Health Literacy Scale). In addition, we expect an improvement in mental health and psychological well-being, improved emotion regulation, reduced psychological distress, as well as good quality ratings in usability and acceptance in the use of the 'Mental Health Guide' We performed multiple simulations of possible outcome scenarios, incorporating an array of factors, to generate realistic datasets and obtain accurate estimates of statistical power. As a first-of-its-kind in this field, this study investigates whether a mHealth intervention based on mental health literacy may improve the mental health literacy and further aspects of psychological functioning of young people in a vulnerable phase. Furthermore, the results promise to provide important knowledge of how universal prevention may be implemented with low costs for diverse populations. This trial was registered in the DRKS register (DRKS-ID: DRKS00031810) on 23 June 2023.
From the Horowitz-Esposito stochastic thermodynamical description of information flows in dynamical systems [J. M. Horowitz and M. Esposito, Phys. Rev. X 4, 031015 (2014)], it is known that while the second law of thermodynamics is satisfied by a joint system, the entropic balance for the subsystems is adjusted by a term related to the mutual information exchange rate between the two subsystems. In this article, we present a quantitative discussion of the conceptual link between the Horowitz-Esposito analysis and the Liang-Kleeman work on information transfer between dynamical system components [X. S. Liang and R. Kleeman, Phys. Rev. Lett. 95, 244101 (2005)]. In particular, the entropic balance arguments employed in the two approaches are compared. Notwithstanding all differences between the two formalisms, our work strengthens the Liang-Kleeman heuristic balance reasoning by showing its formal analogy with the recent Horowitz-Esposito thermodynamic balance arguments.
From the perspective of a Black woman in the biomechanics field, it is my observation that many Black biomechanists are exposed to the field of biomechanics late into their academic careers. STEM (science, technology, and mathematics) is such a broad/encompassing field, yet students are only typically given a narrow introduction to biology and chemistry prior to college. These basic science courses are not enough to continue recruiting and building a pathway for future scientists to pursue STEM careers in the interdisciplinary field of biomechanics. Outreach programs, like National Biomechanics Day (NBD), can expose students to biomechanics earlier than the usual undergraduate exposure for those majoring in health/exercise science, kinesiology, or biomedical/mechanical engineering. NBD has increased accessibility to biomechanics, which has led to increases in diversity, equity, and inclusion in the biomechanics community, particularly for young Black students. Outreach programs like NBD are crucial to reaching, engaging, and recruiting future young Black biomechanists, and others from underrepresented communities, within the US and beyond.
From their conception to present times, different concepts and definitions of entropy take key roles in a variety of areas from thermodynamics to information science, and they can be applied to both classical and quantum systems. Among them is the Rényi entropy. It is able to characterize various properties of classical information with a unified concise form. We focus on the quantum counterpart, which unifies the von Neumann entropy, max- and min-entropy, collision entropy, etc. It can only be directly applied to Hermitian systems because it usually requires that the density matrices is normalized. For a non-Hermitian system, the evolved density matrix may not be normalized; i.e., the trace can be larger or less than one as the time evolution. However, it is not well-defined for the Rényi entropy with a non-normalized probability distribution relevant to the density matrix of a non-Hermitian system, especially when the trace of the non-normalized density matrix is larger than one. In this work, we investigate how to describe the Rényi entropy for non-Hermitian systems more appropriately. We obtain a concisely and generalized form of α-Rényi entropy, which we extend the unified order-α from finite positive real numbers to zero and infinity. Our generalized α-Rényi entropy can be directly calculated using both of the normalized and non-normalized density matrices so that it is able to describe non-Hermitian entropy dynamics. We illustrate the necessity of our generalization by showing the differences between ours and the conventional Rényi entropy for non-Hermitian detuning two-level systems.
Fruits are essential for health, yet their consumption in children is inadequate, with unclear influencing factors. A cross-sectional study was conducted among students in grades 3-12 in Beijing, China, from September 2020 to June 2021. Fruit consumption in children was surveyed using a self-administered food frequency questionnaire. Additionally, children's food and nutrition literacy and family food environments were assessed using the "Food and Nutrition Literacy Questionnaire for Chinese School-age Children" and the "Family Food Environment Questionnaire for Chinese School-age Children," respectively. Out of 10,000 participating children, 62.5% consumed fruit daily, with a lower frequency among boys (59.3%) compared to girls (65.8%), and among senior students (48.6%) compared to junior (63.6%) and primary students (71.2%). Fruit consumption was positively associated with other healthy foods (vegetables, whole grains, etc.) and negatively with unhealthy foods (sugared soft drinks). Children with higher food and nutrition literacy consumed fruits daily more frequently (82.4% vs. 59.9%, ORs = 2.438, 95%CI: 2.072-2.868). A significant positive correlation was found between children's fruit consumption and a healthy family food environment (66.4% vs. 50.2%, OR = 1.507, 95%CI: 1.363-1.667). The results indicate that individual food and nutrition literacy and family food environment are key positive predictors of children's fruit consumption. Future interventions should focus on educating children and encouraging parents to foster supportive family environments.
Fulfilling aesthetic norms is an imperative of modern society. Accordingly, aesthetics has found its important role in dental medicine. The aim was to study whether there is a difference in the perception of tooth shade change and anatomical variations of anterior maxillary teeth among dental students depending on the level of education, gender, and experience in assisting in a dental office. The research was conducted among dental students via the Google Forms platform. Students evaluated the aesthetic acceptability of a smile on the unaltered, reference photograph (RP) and on the other 28 photographs in which the tooth shade (lighter and darker teeth), length (shortened central incisors, elongated, and beveled lateral incisors, elongated canines) and position (atypical and typical rotations and diastemas) of the upper maxillary teeth were altered by digital manipulation. The 1-10 assessment scale was used. Statistical analysis comprised one-way Kolmogorov-Smirnov test, X2 tests, t-test, and 3-way MANOVA. In the research 208 students participated, 113 were preclinical students, 104 assisted in dental office and 175 were females. There were no significant effects of gender regarding length and position modifications (p > .05), while women were stricter in evaluation of lighter shade (p < .05). Clinical students were stricter in evaluating all manipulated photographs (MP) except those towards darker shade modifications, while assisting in a dental office or having a dentist in close family showed no significant effects (p > .05). With a higher level of targeted academic education, dental students sharpen their ability to notice deviations from the aesthetic norms of a smile.
Full-time clinical education experiences (CEEs) constitute a significant component of entry-level physical therapy education. COVID-19 challenged clinical education throughout the country by affecting the availability of CEEs. Research suggested that the number of clinical education spots available would stay the same. By contrast, the number of students enrolling in physical therapist (PT) and physical therapist assistant (PTA) education programs continues to rise. In response to the COVID-19 pandemic, students and faculty expressed concerns about the lack of student readiness and the availability of CEEs. The purpose of this study was to examine prepandemic factors that influenced the number of CEE slots available in Florida and the impact that the COVID-19 pandemic had on slot availability. Furthermore, researchers sought to identify factors that prevented a return to prepandemic levels of CEE spot offerings and recognize solutions to overcome those barriers. Finally, the researchers aimed to pinpoint suggestions to enhance collaborations between the clinical sites and physical therapy education programs. Forty-eight site coordinators of clinical education (SCCEs) from various settings and regions in Florida completed the survey. An online survey was distributed to Florida SCCEs to ascertain their perceptions on how COVID-19 influenced clinical education. The researchers used descriptive and inferential statistics to analyze the data. Clinical instructor (CI) volunteerism was the primary determinant of CEE spots available before the COVID-19 pandemic. The number of CEE spots was reduced for both PT and PTA education programs during the COVID-19 pandemic. Although the PTA slots returned to their baseline from 2019, the PT placements remained significantly lower in 2021. Social distancing and CI availability had the most considerable impact on CEE offerings. Site coordinators of clinical education also suggested that the greatest supports needed from the academic institutions were educating students on COVID-19 prevention and providing personal protective equipment (PPE) to students for their CEEs. This article also offers suggested incentives that academic sites can provide their clinical partners, such as in-services earning continuing education units, to enhance their participation in clinical education. All clinical education stakeholders must collaborate to provide students with the required clinical educational opportunities. Academic sites should continue to provide support, training, and incentives to CIs to enhance participation from clinical education sites. Educational programs must add content about COVID-19 to their curriculum and consider providing students with PPE during their rotations to restore the number of CEEs post-COVID-19 pandemic.
Functional ability decline occurs with age. This study aims to investigate the associations between the lifestyle factors-exercising, food consumption, and smoking-and the functional ability of the activities of daily living (ADL) by gender. The data were obtained from the Taiwan longitudinal study on aging, a national cohort study. The cross-sectional results demonstrated that the frequency of exercising was negatively associated with ADL in both men and women. Dairy products were positively associated with ADL in men. The longitudinal results illustrated that current and consistent exercising were negatively associated with changes in ADL scores over 4- and 8-year periods in both men and women. Seafood consumption was negatively associated with changes in the subsequent 4-year ADL scores. Past smoking was positively associated with changes in subsequent 4-year ADL scores in men, while current smoking was positively associated with changes in subsequent 8-year ADL scores in women. Therefore, consistent exercising, food consumption, and smoking were associated with ADL functional ability in elderly people, and the associations differed by gender. Elders exercising consistently had good ADL performance and maintained their ADL ability better, especially women. Seafood consumption decreased the risk of ADL decline, while smoking increased the risk of ADL decline.
Functional connectivity is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in the analysis of functional magnetic resonance imaging (fMRI) data, where it has provided cognitive neuroscientists with abundant information on how brain regions interact to support complex cognition. However, in the past decade the notion of "connectivity" has expanded in both the complexity and heterogeneity of its application to cognitive neuroscience, resulting in greater difficulty of interpretation, replication, and cross-study comparisons. In this paper, we begin with the canonical notions of functional connectivity and then introduce recent methodological developments that either estimate some alternative form of connectivity or extend the analytical framework, with the hope of bringing better clarity for cognitive neuroscience researchers.