Yoxas/statistical_literacy huggingface dataset:
The first step towards creating a sound educational environment and healthcare in a medical institute is employing medical teachers who maintain ethical behavior in their professional practice. A method where bias and subjectivity can be minimized is by making the recruitment process objective. The recruitment started as an offline process and was soon converted into an online form incorporating parameters for scoring. A total of 1,151 medical teachers had submitted their applications for posts in various departments, and 778 candidates were shortlisted and called for an interview. After the interview process, a unique symposium on the selection of medical teachers was organized. The feedback was incorporated into the online application that was released for the subsequent phases of recruitment. The response rate of the study was 96.55%. Analysis of the feedback by the applicants showed that 47.59% of the applicants were of the opinion that the prevailing selection process in the country needs a change; 84.14% felt that the inclusion of objective criteria would make the selection process more transparent; and 91.03% were happy with the stratification of marks; 82.75% of the applicants and experts felt that knowledge of statistics for quality research and publications in indexed and institutional journals may be considered for the selection process; and 52.41% thought that all authors of an article should be given equal weightage. Adopting a fairly new concept of workplace-based assessment (WPBA) in India was acceptable to 83.45%. Parameter-based, objective selection reduces bias, and merit alone is recognized.
The fitness function value is a kind of important information in the search process, which can be more targeted according to the guidance of the fitness function value. Most existing meta-heuristic algorithms only use the fitness function value as an indicator to compare the current variables as good or bad but do not use the fitness function value in the search process. To address this problem, the mathematical idea of the fitting is introduced into the meta-heuristic algorithm, and a symmetric projection optimizer (SPO) is proposed to solve numerical optimization and engineering problems more efficiently. The SPO algorithm mainly utilizes a new search mechanism, the symmetric projection search (SP) method. The SP method quickly completes the fitting of the projection plane, which is located through the symmetry of the two points and finds the minima in the projection plane according to the fitting result. Fitting by using the fitness function values allows the SP to find regions where extreme values may exist more quickly. Based on the SP method, exploration and exploitation strategies are constructed, respectively. The exploration strategy is used to find better regions, and the exploitation strategy is used to optimize the discovered regions continuously. The timing of the use of the two strategies is designed so that the SPO algorithm can converge faster while avoiding falling into local optima. The effectiveness of the SPO algorithm is extensively evaluated using seven test suites, including CEC2017, CEC2019, CEC2020, and CEC2022. It is also compared with two sets of 19 recent competitive algorithms. Statistical analyses are performed using five metrics such as the Wilcoxon test, the Friedman test, and variance. Finally, the practicality of the SPO algorithm is verified by four typical engineering problems and a real spacecraft trajectory optimization problem. The results show that the SPO algorithm can find superior results in 94.6% of the comparison tests and is a promising alternative for solving real-world problems.
The flipped classroom (FC) model involves students independently acquiring knowledge before in-person class sessions, during which they engage in active discussions and problem-solving. Various methods to implement FC are quizzes, e-content, case-based learning, problem-based learning, and reading assignments. The advantages of the FC approach included improved student preparation, active participation, and the promotion of critical thinking skills. Some disadvantages identified are technical problems like internet connection, improper planning and preparation, which increases teacher workload, and lack of self-motivation. This review underscores the potential of the FC approach to improve medical education by promoting independent learning, active participation, and deeper understanding. Consideration of factors such as curriculum design, faculty development, technological infrastructure, and student readiness is vital for successfully implementing the FC model. Balancing self-directed study with meaningful face-to-face interactions remains crucial to harnessing the full benefits of this innovative approach. By leveraging technology and student-centered methods, medical educators can create an enriched learning experience that positively influences future healthcare professionals.
The flipped classroom is an innovative pedagogy that shifts content delivery outside the classroom, utilizing in-class time for interactive learning. The pre-class and in-class activities in this framework encourage individualized learning and collaborative problem-solving among students, fostering engagement. The Innovative Flipped Learning Instruction Project (IFLIP) conducted faculty development workshops over four years, guiding STEM faculty in integrating flipped teaching (FT) into their courses. The research aimed to assess its impact on pedagogical practices, explore its effectiveness, and provide a framework to implement FT across multiple institutions. It sought to evaluate the experiences of these educators throughout the transitional period of instructional change. In the fourth year of this project, a symposium was organized for IFLIP participants to share their experiences and findings concerning FT. This symposium helped promote collaboration among IFLIP participants and faculty interested in FT to disseminate participants' knowledge and experiences in implementing FT strategies. A survey conducted at the end of the symposium indicated that faculty participants with FT experience continued to embrace this pedagogy, and the new adopters expressed intentions to incorporate it into their courses. The survey revealed positive responses: 93% of respondents plan to integrate FT methods in future classes, 90% gained new information from the symposium and intend to implement it, and 91% are likely to recommend FT to colleagues. Ultimately, the symposium underscored the transformative impact of FT in empowering educators to deepen students' conceptual understanding, emphasizing the significance of this pedagogical approach in advancing the quality of education.
The flipped classroom teaching model is widely used in medical education and is indicated to be better than traditional lecture approaches in many medical specialties. Emerging studies have evaluated the effects of the flipped classroom teaching model on anaesthesiology residents. This protocol aims to perform a systematic review and meta-analysis to determine whether the flipped classroom teaching model is superior to traditional teaching methods for anaesthesiology residents. Seven databases, including PubMed, Web of Science, EMBASE, the Cochrane Library, the China National Knowledge Infrastructure, Wanfang Data and the VIP database, will be systematically searched from their inception to 1 June 2024. Randomised controlled trials that compared the effects of flipped classrooms versus traditional teaching methods in anaesthesiology residents will be included. The primary outcome will be the theoretical knowledge score. The secondary outcomes will include skill scores and the proportion of anaesthesiology residents who preferred the flipped classroom model. RevMan V.5.4 software will be used to perform the statistical analysis. The Grading of Recommendation, Assessment, Development and Evaluation approach will assess the quality of evidence. Ethical approval is not applicable to this protocol. The results of this study will be submitted to a peer-reviewed journal. CRD42024497935.
The Fly-CURE is a genetics-focused multi-institutional Course-Based Undergraduate Research Experience (CURE) that provides undergraduate students with hands-on research experiences within a course. Through the Fly-CURE, undergraduate students at diverse types of higher education institutions across the United States map and characterize novel mutants isolated from a genetic screen in Drosophila melanogaster. To date, more than 20 mutants have been studied across 20 institutions, and our scientific data have led to eleven publications with more than 500 students as authors. To evaluate the impact of the Fly-CURE experience on students, we developed and validated assessment tools to identify students' perceived research self-efficacy, sense of belonging in science, and intent to pursue additional research opportunities. Our data, collected over three academic years and involving 14 institutions and 480 students, show gains in these metrics after completion of the Fly-CURE across all student subgroups analyzed, including comparisons of gender, academic status, racial and ethnic groups, and parents' educational background. Importantly, our data also show differential gains in the areas of self-efficacy and interest in seeking additional research opportunities between Fly-CURE students with and without prior research experience, illustrating the positive impact of research exposure (dosage) on student outcomes. Altogether, our data indicate that the Fly-CURE experience has a significant impact on students' efficacy with research methods, sense of belonging to the scientific research community, and interest in pursuing additional research experiences.
The forensic science community has increasingly sought quantitative methods for conveying the weight of evidence. Experts from many forensic laboratories summarize their findings in terms of a likelihood ratio. Several proponents of this approach have argued that Bayesian reasoning proves it to be normative. We find this likelihood ratio paradigm to be unsupported by arguments of Bayesian decision theory, which applies only to personal decision making and not to the transfer of information from an expert to a separate decision maker. We further argue that decision theory does not exempt the presentation of a likelihood ratio from uncertainty characterization, which is required to assess the fitness for purpose of any transferred quantity. We propose the concept of a lattice of assumptions leading to an uncertainty pyramid as a framework for assessing the uncertainty in an evaluation of a likelihood ratio. We demonstrate the use of these concepts with illustrative examples regarding the refractive index of glass and automated comparison scores for fingerprints.
The fragile X (FRAXA) mutation is typically manifested as either a full mutation (FM) or premutation (PM), and is often associated with some form of learning impairment. The study by Lachiewicz et al. in this issue suggests that females with the FM or PM exhibit a specific profile of strengths in verbal abilities and significant weaknesses in quantitative skills. We examined 17 females with either the FM or PM using a standard cognitive-behavioral battery consisting of the Stanford-Binet (4th Edition; SBFE) and the Vineland Adaptive Behavior Scale (VABS). Although we found the expected differences in composite IQ scores and adaptive behavior composite scores (DQ) between FM and PM females, we found no significant differences between verbal and quantitative reasoning in either group.
The fragility index is a statistical measure of the robustness or "stability" of a statistically significant result. It has been adapted to assess the robustness of statistically significant outcomes from randomized controlled trials. By hypothetically switching some non-responders to responders, for instance, this metric measures how many individuals would need to have responded for a statistically significant finding to become non-statistically significant. The purpose of this study is to assess the fragility index of randomized controlled trials evaluating opioid substitution and antagonist therapies for opioid use disorder. This will provide an indication as to the robustness of trials in the field and the confidence that should be placed in the trials' outcomes, potentially identifying ways to improve clinical research in the field. This is especially important as opioid use disorder has become a global epidemic, and the incidence of opioid related fatalities have climbed 500% in the past two decades. Six databases were searched from inception to September 25, 2021, for randomized controlled trials evaluating opioid substitution and antagonist therapies for opioid use disorder, and meeting the necessary requirements for fragility index calculation. Specifically, we included all parallel arm or two-by-two factorial design RCTs that assessed the effectiveness of any opioid substitution and antagonist therapies using a binary primary outcome and reported a statistically significant result. The fragility index of each study was calculated using methods described by Walsh and colleagues. The risk of bias of included studies was assessed using the Revised Cochrane Risk of Bias tool for randomized trials. Ten studies with a median sample size of 82.5 (interquartile range (IQR) 58, 179, range 52-226) were eligible for inclusion. Overall risk of bias was deemed to be low in seven studies, have some concerns in two studies, and be high in one study. The median fragility index was 7.5 (IQR 4, 12, range 1-26). Our results suggest that approximately eight participants are needed to overturn the conclusions of the majority of trials in opioid use disorder. Future work should focus on maximizing transparency in reporting of study results, by reporting confidence intervals, fragility indexes, and emphasizing the clinical relevance of findings. PROSPERO CRD42013006507. Registered on November 25, 2013.
The fraternal-birth order effect (FBOE) is a research claim which states that each older brother increases the odds of homosexual orientation in men via an immunoreactivity process known as the maternal immune hypothesis. Importantly, older sisters supposedly either do not affect these odds, or affect them to a lesser extent. Consequently, the fraternal birth-order effect predicts that the association between the number of older brothers and homosexual orientation in men is greater in magnitude than any association between the number of older sisters and homosexual orientation. This difference in magnitude represents the main theoretical estimand of the FBOE. In addition, no comparable effects should be observable among homosexual vs heterosexual women. Here, we triangulate the empirical foundations of the FBOE from three distinct, informative perspectives, complementing each other: first, drawing on basic probability calculus, we deduce mathematically that the body of statistical evidence used to make inferences about the main theoretical estimand of the FBOE rests on incorrect statistical reasoning. In particular, we show that throughout the literature researchers ascribe to the false assumptions that effects of family size should be adjusted for and that this could be achieved through the use of ratio variables. Second, using a data-simulation approach, we demonstrate that by using currently recommended statistical practices, researchers are bound to frequently draw incorrect conclusions. And third, we re-examine the empirical evidence of the fraternal birth-order effect in men and women by using a novel specification-curve and multiverse approach to meta-analysis (64 male and 17 female samples, N = 2,778,998). When analyzed correctly, the specific association between the number of older brothers and homosexual orientation is small, heterogenous in magnitude, and apparently not specific to men. In addition, existing research evidence seems to be exaggerated by small-study effects.
The freelance economy has seen rapid growth worldwide in recent years and the Philippines is not an exception. Freelance workers are becoming increasingly common in healthcare and research. Early career researchers carry out most of scientific research and can play a critical role in advancing public health by bringing new perspectives and diversity to the field. Existing literature has mostly focused on the experiences of early career researchers in an institutional academic setting. This study aimed to understand the experiences of freelance early career researchers in the health policy and systems space in the Philippines. This qualitative study collected data from 18 to 22 March 2022 through virtual interview and focus group discussions. Themes and codes were created based on the topic guide developed. New themes and codes were generated as they emerged. Two researchers coded the data using both a priori and emergent codes. Any coding conflicts were resolved through discussions until intercoder agreement was reached. Interpretation and conclusions from the data were developed by 2 researchers with consideration for its context and relationship between themes. Fifteen current and former freelance researchers participated in the study. Most are female, under 35 years old, and with an undergraduate degree as the highest educational attainment. The findings highlight insights and challenges faced by early career researchers in aspects of: (1) work arrangement, (2) tasks, (3) expectations from senior researchers, (4) development in the health policy and systems field, (5) relationship with peers, and (6) motivations for continuing to work as a freelance health policy and systems researcher. This study reveals the challenges freelance early career researchers face, highlighting the need for enhanced support and recognition amidst rapidly evolving workforce demands and complex health dilemmas. Recommendations include structured mentorship, professional development, innovative funding models, and the establishment of a supportive network. Advocacy for policies ensuring freelancer inclusion in the economy and policy-making is crucial. Future research should investigate their experiences further, including their roles, transitions, and the impacts of funding trends, to foster their development and integration into public health research and policy.
The frequency of seeking emergency medical care (EC) can be mediated by the characteristics of the patient's social status, his health literacy (HL) but not only by the clinical signs of the disease, health status. The goal of the cross-sectional survey was to identify factors determining the frequency of applying for EC by the young-aged, middle-aged (18-59 years) and elderly (60-74 years) patients of the primary health organizations in the Arkhangelsk Region and the Komi Republic (North-West Russia). Logistic regression (LR) was used to identify factors mediating the fact of applying for EC; zero-inflated negative binomial regression (ZINB) - to identify factors mediating the frequency of appeals. The majority of elderly respondents in the Arkhangelsk Region (72,5%) and the Komi Republic (74,1%) applied for EC at least once during the calendar year; among the young-aged and middle-aged respondents - 45,3% and 52,1% respectively. In the group of young-aged and middle-aged respondents, a higher frequency of appeals for EC is mediated by the age, low self-esteem of the well-being and health status, a chronic disease(s) affecting daily well-being in anamnesis, a low level of HL; in the group of the elderly respondents - by the fact of absence of a spouse, low self-esteem of the well-being, a chronic disease(s) affecting daily well-being in anamnesis, low levels of HL respectively. The obtained results obtained can be used to identify the «risk group» of patients of the primary health organizations who have a higher probability of applying for EC, and to organize additional preventive work with the min primary health organizations.
The fundamental questions asked by the patient to the doctor are: "What is the best cure for my disease? "; "How likely am I to benefit from the intervention you propose?". To answer on a scientific basis, the doctor can use seven parameters: 1) the relative reduction of the risk; 2) its absolute reduction; 3) the necessary number of patients to be treated to obtain a benefit; 4) the number of patients to be treated to avoid an adverse event; 5) average life time gained; 6) average life time gained in good health; 7) the residual risk.The doctor, not a statistician or scientist, must explain to the patient the reason for his proposals, to pass from consent to sharing; this requires strong commitment and cultural growth of both the patient and the doctor. To avoid purely declamatory positions, it is necessary to adopt some tools such as the scientific method and risk management but above all statistics. If medicine has been defined as "the science of uncertainty and the art of probability", statistics is the science of probability and the art of uncertainty, that physicians and patients cannot do without to share their important decisions in the field of health.
The Fundamentals of Laparoscopy Surgery (FLS) program was launched over 15 years ago. Since then, there has been an exponential rise in advancements of laparoscopy and its uses. In response, we conducted an argument-based validation study of FLS. The purpose of this paper is to exemplify this approach to validation for surgical education researchers using FLS as an illustrative case. The argument-based approach to validation involves three key actions: (1) developing interpretation and use arguments; (2) research; and (3) building a validity argument. Drawing from the validation study of FLS each step is exemplified. Qualitative and quantitative data sources from the FLS validity examination study provided evidence that both supported claims, but also generated backing for rebuttals. Some of the key findings were synthesized in a validity argument to illustrate its structure. The argument-based validation approach described numerous advantages over other validation approaches: (1) it is endorsed by the foundational documents in assessment and evaluation research; (2) its specific language of claims, inferences, warrants, assumptions and rebuttals provides a systematic and unified way to communicate both the processes and outcomes of validation; and (3) the use of logic reasoning in building the validity document clearly delineates the relationship between evidence and the inferences made to support desired uses and interpretations from assessments.
The fungus Xylaria sp. Z184, harvested from the leaves of Fallopia convolvulus (L.) Á. Löve, has been isolated for the first time. Chemical investigation on the methanol extract of the culture broth of the titles strain led to the discovery of three new pyranone derivatives, called fallopiaxylaresters A-C (1-3), and a new bisabolane-type sesquiterpenoid, named fallopiaxylarol A (4), along with the first complete set of spectroscopic data for the previously reported pestalotiopyrone M (5). Known pyranone derivatives (6-11), sesquiterpenoids (12-14), isocoumarin derivatives (15-17), and an aromatic allenic ether (18) were also co-isolated in this study. All new structures were elucidated by the interpretation of HRESIMS, 1D, 2D NMR spectroscopy, and quantum chemical computation approach. The in vitro antimicrobial, anti-inflammatory, and α-glucosidase-inhibitory activities of the selected compounds and the crude extract were evaluated. The extract was shown to inhibit nitric oxide (NO) production induced by lipopolysaccharide (LPS) in murine RAW264.7 macrophage cells, with an inhibition rate of 77.28 ± 0.82% at a concentration of 50 μg/mL. The compounds 5, 7, and 8 displayed weak antibacterial activity against Staphylococcus areus subsp. aureus at a concentration of 100 μM.