Yoxas/statistical_literacy huggingface dataset:
The majority of the ankle osteoarthritis cases are posttraumatic and affect younger patients with a longer projected life span. Hence, joint-preserving surgery, such as supramalleolar osteotomy becomes popular among young patients, especially those with asymmetric arthritis due to alignment deformities. However, there is a lack of biomechanical studies on postoperative evaluation of stress at ankle joints. We aimed to construct a verifiable finite element model of the human hindfoot, and to explore the effect of different osteotomy parameters on the treatment of varus ankle arthritis. The bones of the hindfoot are reconstructed using normal CT tomography data from healthy volunteers, while the cartilages and ligaments are determined from the literature. The finite element calculation results are compared with the weight-bearing CT (WBCT) data to validate the model. By setting different model parameters, such as the osteotomy height (L) and the osteotomy distraction distance (h), the effects of different surgical parameters on the contact stress of the ankle joint surface are compared. The alignment and the deformation of hindfoot bones as determined by the finite element analysis aligns closely with the data obtained from WBCT. The maximum contact stress of the ankle joint surface calculated by this model increases with the increase of the varus angle. The maximum contact stresses as a function of the L and h of the ankle joint surface are determined. The relationship between surgical parameters and stress at the ankle joint in our study could further help guiding the planning of the supramalleolar osteotomy according to the varus/valgus alignment of the patients.
The Malaysian Education Blueprint (PPPM) 2013-2025 has spurred significant reforms in the Primary School Standard Curriculum (KSSR) and Secondary School Standard Curriculum (KSSM), particularly concerning classroom-based assessment (CBA). CBA evaluates students' understanding and progress, informs instruction, and enhances the learning outcomes. Teachers with robust pedagogical content knowledge (PCK) are better equipped to design and implement effective CBA strategies that accurately assess students' comprehension and growth, provide personalised feedback, and guide instruction. This study aims to investigate the relationship between PCK and CBA among English as a Second Language (ESL) secondary school teachers in Selangor, Malaysia. A 5-point Likert-scale questionnaire was administered to 338 teachers across 27 regional secondary schools in Selangor. The Covariance-based structural equation modelling (SEM) was used to analyse the data. The findings revealed that the secondary school teachers demonstrated a high level of PCK, with content knowledge (CK) obtaining the highest mean, followed by pedagogical knowledge (PK) and pedagogical content knowledge (PCK). The CBA practices among these teachers were also found to be high. SEM analysis showed a positive association between PK and CBA practices and between PCK and CBA. However, no positive association was observed between CK and CBA practices. In order to enhance teachers' PCK and ensure the effective implementation of CBA, which is crucial for student learning outcomes in Malaysian ESL secondary schools, it is recommended that continuous professional development opportunities be provided, specifically focusing on PCK and CBA.
The management of low back pain (LBP) is highly variable and patients often receive management that is not recommended and/or miss out on recommended care. Clinician knowledge and behaviours are strongly influenced by entry-level clinical training and are commonly cited as barriers to implementing evidence-based management. Currently there are no internationally recognised curriculum standards for the teaching of LBP content to ensure graduating clinicians have the appropriate knowledge and competencies to assess and manage LBP. We formed an international interdisciplinary working group to develop curriculum content standards for the teaching of LBP in entry-level clinical training programs. The working group included representatives from 11 countries: 18 academics and clinicians from healthcare professions who deal with the management of LBP (medicine, physiotherapy, chiropractic, osteopathy, pharmacology, and psychology), seven professional organisation representatives (medicine, physiotherapy, chiropractic, spine societies), and one healthcare consumer. A literature review was performed, including database and hand searches of guidelines and accreditation, curricula, and other policy documents, to identify gaps in current LBP teaching and recommended entry-level knowledge and competencies. The steering group (authors) drafted the initial LBP Curriculum Content Standards (LBP-CCS), which were discussed and modified through two review rounds with the working group. Sixty-two documents informed the draft standards. The final LBP-CCS consisted of four broad topics covering the epidemiology, biopsychosocial contributors, assessment, and management of LBP. For each topic, key knowledge and competencies to be achieved by the end of entry-level clinical training were described. We have developed the LBP-CCS in consultation with an interdisciplinary, international working group. These standards can be used to inform or benchmark the content of curricula related to LBP in new or existing entry-level clinical training programs.
The many stressors associated with teaching can take a toll, resulting in high levels of burnout among teachers and reduced motivation and academic performance among students. This is especially true in the context of science, technology, engineering, and mathematics (STEM) subjects. Despite the efficacy of emotion regulation interventions in pedagogical settings in general and in STEM teaching in particular, there is a lack of suitable interventions. We applied the process model of emotion regulation to STEM teaching and proposed a framework, STEM-Model of EmotioN regulation: Teachers' Opportunities and Responsibilities (STEM-MENTOR), to elucidate how the high demands of STEM teaching and contextual factors (e.g., culture, reforms, teacher-student interactions) may lead to intensified negative emotions and deficits in executive functioning and emotion regulation implementation. Teacher emotions, in turn, shape students' STEM-related achievements and epistemic emotions. Thus, teachers' emotion regulation skills have pervasive effects on teaching outcomes for both teachers and students. We illustrate how at each level of our framework, steps could be taken to improve teachers' emotional trajectory. Our proposed STEM-MENTOR framework has implications for theoretical understanding and may help to shape future interventions that focus on cognitive-emotional processes in STEM education.
The mapping of metabolite-specific data to pathways within cellular metabolism is a major data analysis step needed for biochemical interpretation. A variety of machine learning approaches, particularly deep learning approaches, have been used to predict these metabolite-to-pathway mappings, utilizing a training dataset of known metabolite-to-pathway mappings. A few such training datasets have been derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG). However, several prior published machine learning approaches utilized an erroneous KEGG-derived training dataset that used SMILES molecular representations strings (KEGG-SMILES dataset) and contained a sizable proportion (~26%) duplicate entries. The presence of so many duplicates taint the training and testing sets generated from k-fold cross-validation of the KEGG-SMILES dataset. Therefore, the k-fold cross-validation performance of the resulting machine learning models was grossly inflated by the erroneous presence of these duplicate entries. Here we describe and evaluate the KEGG-SMILES dataset so that others may avoid using it. We also identify the prior publications that utilized this erroneous KEGG-SMILES dataset so their machine learning results can be properly and critically evaluated. In addition, we demonstrate the reduction of model k-fold cross-validation (CV) performance after de-duplicating the KEGG-SMILES dataset. This is a cautionary tale about properly vetting prior published benchmark datasets before using them in machine learning approaches. We hope others will avoid similar mistakes.
The mass media have been condemned for encouraging young people to take dietary supplements (DS). Media literacy, which includes authors and audiences (AA), messages and meanings (MM), and representation and reality (RR) domains, is a new approach to teaching young adults to make better informed health decisions. However, it is not clear which domains are the most important for media literacy education. The purpose of this study is to investigate the associations among individual factors, media literacy, and DS use. The survey instrument included demographic items, the DS Media Literacy Scale (DSMLS), and DS use items (users or nonusers, types of DS, current use of DS, and intention to use DS in the future). The DSMLS is an 11-item instrument designed to assess college students' AA, MM, and RR media literacy in relation to DS. A total of 467 Taiwanese college students participated in the study. Descriptive statistical analysis, logistic regression analysis, and multiple regression analysis were conducted. A total of 338/467 (72.4%) participants reported using DS, and 176/467 (37.7%) consumed 3 or more supplements. Moreover, the MM media literacy domain was associated with having been a DS user (odds ratio 0.63, P=.002), current DS use (β=-.10, P=.02), and intention to use DS in the future (β=-.12, P=.011). Finally, perceived importance of health was positively related to current DS use (β=.18, P=.001) and intention to use DS in the future (β=.18, P=.001). This study showed that the majority of Taiwanese college students were DS users and used multiple types of supplements. Moreover, students with lower MM media literacy were more likely to be DS users, to take DS more frequently, and to have higher intentions for future frequent DS use. Finally, those who placed extreme importance on health were more likely to take DS frequently and have higher intentions for future frequent DS use.
The Master Adaptive Learner is a model used to develop students to become self-regulated and adaptable lifelong learners to practice medicine in a complex and ever-changing environment. The Hackensack Meridian School of Medicine (HMSOM) proposes a new course, Patient Presentation Problem-Based Learning Curriculum (PPPC), a dynamic and integrated course that goes beyond the scope of traditional Problem-Based-Learning (PBL). PPPC allows students to build domain-general skills in tandem with domain-specific content learned during a pre-clerkship curriculum. An integrated case provides weekly scaffolding, such that the course takes place throughout the week and is not isolated from the rest of the curriculum. Students receive iterative feedback and structured assignments which allows development of self-directed learning skills along with integration and consolidation of weekly curricular content. A layered analysis approach was used to outline the philosophies, principles and techniques that link to our course objectives. Techniques used could easily be translated to other pre-clerkship curriculum to promote development of self-directed learning and clinical reasoning skills, as well as promote more meaningful learning of basic, clinical, and health system science content.
The mathematical abilities of children with autism spectrum condition have been understudied. Magnitude representation (e.g. presenting the number of a collection of objects) is a fundamental numerical ability presented since early infancy and is correlated with children's later learning of formal mathematics. It remains unclear about whether children with autism spectrum condition differ from their peers without autism spectrum condition in precision of magnitude representations. This study compared preschool children with and without autism spectrum condition in their precision of magnitude representation with an approximate number comparison task, in which children compared two sets of dots without counting and chose the set with more dots. Children with autism spectrum condition exhibited the lower numerical comparison accuracy (i.e. the weaker magnitude representation) than their peers without autism spectrum condition. This difference existed even when multiple general cognitive abilities (working memory, inhibitory control, and nonverbal intelligence) and language abilities were statistically controlled. Moreover, the individual difference of the numerical comparison accuracy was larger in children with autism spectrum condition than without autism spectrum condition. These findings suggest that children with autism spectrum condition are at risk of weaker magnitude representation from an early age, emphasizing the need for specialized mathematics education or interventions to support their learning. In addition, the large variance in the precision of their magnitude representation suggests that individualized mathematics interventions are needed for children with autism spectrum condition.
The mathematical medium of data visualization and other data representations (DV) has served as a primary means of communicating about the COVID-19 crisis. DVs about the pandemic are highly visible across news journalism and include an increasingly innovative and diverse set of representational forms. These representational forms employ multimodal, interactive, and narrative elements, among others, that create new possibilities for data storytelling. Building on current efforts to expand the teaching and learning of data practices in K-12 mathematics education, we argue that innovative DVs create new opportunities for teaching and learning mathematics, particularly during times of crisis. We illustrate our argument using three examples of innovative DVs from news journalism. We discuss how these DVs could serve as complementary resources alongside conventional graphs to support students as they use mathematics and mathematical representations to make sense of crises such as the COVID-19 pandemic. Our commentary seeks to bring current trends in data representation to bear in mathematics education. Leveraging such trends offers artifacts useful for teaching and opens up space for elevating emotion and experience as important aspects of mathematics curricula.
The mathematics teachers' profession often has many challenges. It also occupies important positions at the K-12 education level, in which mathematics knowledge is the basis of all scientific fields. This tends to cause high-stress levels and a negative effect on well-being. Mathematics teachers' well-being has been less examined, and therefore this study aims to determine the factors affecting mathematics teachers' well-being and stress levels. The 210 data points collected from Chinese mathematics teachers using a web-based questionnaire were analyzed for reliability and validity, then model fit and SEM were applied for model validation after removing 3 invalid data points and incomplete responses. The results showed that behavioral and cognitive engagements significantly affect teachers' well-being, while the affective engagement was insignificant. The TPMK was the strongest significant predictor that had a positive impact on improving well-being and reducing stress levels. In addition, the stress level of mathematics teachers was influenced by gender and age. Finally, it was proven that teachers' well-being significantly reduced stress levels. This study's implication was to provide information on how to reduce stress levels.
The measurement of diversity is a central component of studies in ecology and evolution, with broad uses spanning multiple biological scales. Studies of diversity conducted in population genetics and ecology make use of analogous concepts and even employ equivalent mathematical formulas. For the Shannon entropy statistic, recent developments in the mathematics of diversity in population genetics have produced mathematical constraints on the statistic in relation to the frequency of the most frequent allele. These results have characterized the ways in which standard measures depend on the highest-frequency class in a discrete probability distribution. Here, we extend mathematical constraints on the Shannon entropy in relation to entries in specific positions in a vector of species abundances, listed in decreasing order. We illustrate the new mathematical results using abundance data from examples involving coral reefs and sponge microbiomes. The new results update the understanding of the relationship of a standard measure to the abundance vectors from which it is calculated, potentially contributing to improved interpretation of numerical measurements of biodiversity.
The measurement of political solidarities and related concepts is an important endeavor in numerous scientific disciplines, such as political and social science research. European surveys, such as the Eurobarometer, frequently measure these concepts for people's home country and Europe raising questions with respect to the order of precedence. Research has shown that the order of asking questions can have a profound impact on answer behavior compromising data quality. In this study, we therefore investigated the occurrence of question order effects in a German-European context using two questions on political solidarities. For this purpose, we conducted an experiment in a German online panel (N = 874) and analyzed response behavior and effort in terms of response times. In contrast to previous research, we found no empirical evidence for question order effects impacting people's responses. Even though there were no response time differences between the question order conditions, the first question always took longer to respond to than the remaining one. Overall, our findings indicate the robustness of questions on political solidarities against question order effects. One potential explanation is that people have comparatively strong (or crystallized) attitudes when it comes to political solidarities.
The Medical and Pharmacy Student Collaboration (MAPSC) student organization at the University of Southern California, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, created an extracurricular, peer-led, virtual group mock objective structured clinical examination (MOSCE) to expose first-year pharmacy students (P1s) to the Pharmacists' Patient Care Process (PPCP). The purpose of this study is to evaluate the impact of a MAPSC MOSCE on P1s self-reported confidence in applying the PPCP and on patient communication, medication knowledge, and clinical skills. An anonymous, optional, self-reported survey was administered to P1s before and after the event, where they rated their confidence on a scale of 0-100 (0 = not confident, 100 = certainly confident). The statistical analysis was a paired two-tailed t-test with a significance level of p < 0.05. A total of 152 P1s and 30 facilitators attended the MOSCE. One hundred thirty-nine students met the inclusion criteria and were included in the data analysis. There was a statistically significant difference in the change in self-reported confidence for all PPCP components and learning outcomes. The results of our study strongly indicate that introducing P1 students to the PPCP through a MAPSC MOSCE format is a valuable experience.
The Medical Education Research Study Quality Instrument (MERSQI) has been used frequently to assess the methodological quality of medical education but not for dental education. The present study aimed to assess the methodological quality using MERSQI scores of articles published in the Journal of Dental Education (JDE) and the European Journal of Dental Education (EJDE). A cross-sectional assessment of the quality of manuscripts published in 2012, 2017, and 2022 JDE and EJDE was conducted. MERSQI data, numbers of authors, first and corresponding author degrees, geographic origins, and funding information were also extracted for each included study. Descriptive and analytical statistics were conducted, and significance level was set at α < 0.05. Four hundred ninety-five articles met the inclusion criteria. The most common study design was a single-group cross-sectional or single-group posttest and conducted in one institution for all studied years. In all journals and years, studies were assessed mainly by participants. The study outcome was mostly satisfaction, attitudes, perceptions, opinions, and general facts. The total mean MERSQI score for each journal and year varied. Year and geographic origin significantly affected the total MERSQI score. Papers originating from Asia had the highest score, followed by South America, Europe, North America, Oceania, and Africa. MERSQI score is applicable to the assessment of the methodological quality of dental educational research. The MERSQI score for most of the domains was similar for both journals. The MERSQI score was affected by publication years and geographic origins.
The medical residency application process is daunting, time-consuming, and variable, making mentorship in preparation for this process important. In light of changes to the residency application process due to the COVID-19 pandemic, medical students identified a need to create a formal residency application preparation curriculum. The curriculum focused on reflection, while also furthering professional development and preparing for the nuances of the residency application cycle through structured advising. Bridge to M4 (B2M4) included reflective activities to help guide curriculum vitae (CV) refinement, personal and professional values clarification, residency program exploration, elevator pitch formation, personal statement development, mentor identification, guidance on requesting letters of recommendation, and virtual residency interview preparation. The B2M4 elective first took place in June 2020 with 36 rising fourth year students enrolled. Perceived effectiveness of the curriculum was assessed by having student cohorts evaluate the importance of the CV, personal statement, general preparation, and residency program selection before and after the course. Student feedback was reviewed with content analysis, which highlighted the usefulness of a structured residency preparation course that was rooted in reflection and incorporated faculty mentorship and feedback. This student-driven, innovative curricular design provided students the opportunity to prepare for the residency application process through reflective activities including values clarification, strengths identification, and goal setting. B2M4 demonstrates a process that can be used not only during the Residency Match process, but also throughout graduate medical education and future career decisions.