Yoxas/statistical_literacy huggingface dataset:
This is a diagnostic test research study to evaluate the various existing methods of thyroid examination and their comparison with the novel modified Rose method. It also aims to measure inter-examiner variation in clinical findings based on the level of education and training, as compared to ultrasonography. This cross-sectional study was conducted at a tertiary care hospital with 83 patients presenting to surgery OPD with neck swelling. Each patient was examined by one trained Junior Resident and a Surgery Consultant with all the four methods and with ultrasonography. Data was analysed by Stata-14, agreement between the two categorical variables was assessed by Kappa. In case of continuous variable agreement was assessed by Intra class correlation and Bland-Altman plot. Modified Rose method by the consultant has the highest sensitivity (98%) and diagnostic odds (210) as compared to others but its specificity ranges from 46.7-91.1% to diagnose retro-sternal extension of a goiter. It has 93.98% agreement for identification of nodules. It has a high specificity (Consultant - 100%, Resident - 95.5%) with relatively lower sensitivity (Consultant - 94%, Resident - 86.8%) to diagnose solitary thyroid nodule (STN) but the sensitivity and specificity for diagnosing a multinodular goitre (MNG) was high. However, the highest sensitivity to diagnose STN was highest with Crile's method, but specificity was low. Lahey's method was a better clinical method to palpate lymph nodes compared to the other three. Examination in modified Rose's position is a better method of clinical examination of thyroid especially in patients with occult substernal extension. Lahey's method is a better method to examine cervical lymph nodes.
This is a final analysis of longitudinal evaluation of burnout and empathy among a cohort of Doctor of Pharmacy students throughout their 4-year enrollment. The class of 2021 received sequential Qualtrics (Qualtrics, Provo, UT) surveys containing 2 validated survey instruments, the Jefferson Scale of Empathy and the Maslach Burnout Inventory. Surveys were disseminated at the start of the program (PY1start) and the end of each academic year (PY1end, PY2, PY3, PY4). Linear mixed models accounting for repeated measures, Generalized Estimating Equation, and Cochran's Q statistic were used to evaluate longitudinal change in the Jefferson Scale of Empathy and Maslach Burnout Inventory survey scores, categorized subscales, and burnout. Matched survey responses were included for 91 students (85.8% response rate). Across all years, a decrease in empathy and professional efficacy and an increase in exhaustion and cynicism was seen. High categorical levels of exhaustion and cynicism indicated evidence of burnout throughout the program. Year-to-year analysis indicated statistically significant increases in exhaustion and cynicism between PY1start and all subsequent assessments, a decrease in professional efficacy from PY1start to PY1end and PY2, and a decrease in empathy for PY1start to PY1end. Students reported trends of decreasing empathy and professional efficacy, with a simultaneous increase in exhaustion and cynicism. Further evaluation of the impact of COVID-19 on these results, as well as additional methods to support overall student wellness, is needed.
This is a prospective study of the effects of prenatal marijuana exposure on the intelligence test performance of 648 children at a 6-year follow-up. Women were interviewed about the amount and frequency of their marijuana use at 4 and 7 months of pregnancy and at delivery. Participants were light to moderate users of marijuana and represented a lower income population. Children were assessed with the Stanford-Binet Intelligence Scale by examiners blind to exposure status. Multiple regression was applied to examine the effects of prenatal marijuana exposure on children's intelligence after partialing out the effects of other significant predictors. There was a significant nonlinear relationship between marijuana exposure and child intelligence. Heavy marijuana use (one or more cigarettes per day) during the first trimester was associated with lower verbal reasoning scores on the Stanford-Binet Intelligence Scale. Heavy use during the second trimester predicted deficits in the composite, short-term memory, and quantitative scores. Third-trimester heavy use was negatively associated with the quantitative score. Other significant predictors of intelligence included maternal IQ, home environment, and social support. These findings indicate that prenatal marijuana exposure has a significant effect on school-age intellectual development.
This is a report from the most recent adult follow-up of the longest running cohort study of prenatal cocaine exposure (PCE), in which women were enrolled prenatally and offspring were assessed in infancy, childhood, adolescence, and young adulthood. In previous studies, PCE was linked to offspring behavior problems such as early substance use and externalizing behavior problems. The current analyses examine pathways from PCE to behavioral outcomes in offspring at the 25-year assessment. Prenatal cocaine exposure was moderate in this cohort; most women decreased or discontinued use after the first trimester. During the first and third trimesters, 38% and 11% used cocaine, respectively. This represents the most common pattern of PCE in non-treatment samples. At this phase, the adult offspring were, on average, 27.3 years old (range = 25-30), had 13.4 years of education, 83% were employed, 55% were Black, and 55% were female. Offspring who were exposed to cocaine during the first trimester were significantly more likely to use marijuana in the past year, report more arrests, and have poorer scores on a decision-making task, controlling for other prenatal substance exposure, demographic, and socioeconomic factors. In mediation analyses, there were indirect pathways from PCE to current marijuana use through early initiation of marijuana use and 21-year marijuana use, and through 15-year status offenses and 21-year marijuana use. There was also an indirect pathway from PCE to lifetime arrests through early initiation of marijuana use and 21-year Conduct Disorder, although the direct pathway from PCE to arrests also remained significant. These findings are consistent with those from previous phases and are an indication that there are detrimental associations with PCE that persist across developmental stages and into adulthood.
This is a scoping review on mapping the use of digital tools to assess food consumption in Brazil. Searches were carried out in nine electronic databases (Medline, Lilacs, Scopus, Embase, Web of Science, Science Direct, Ovid, Free Medical Journal and Crossref) to select studies published from October 2020 to December 2023. This review identified forty-eight digital tools in the 94 publications analyzed, the most frequent being web-based technologies (60%) and mobile devices (40%). Among these studies, 55% (n = 52) adopted a population-based approach, while 45% (n = 42) focused on specific regions. The predominant study design observed was cross-sectional (n = 63). A notable trend observed was the increasing frequency of validation studies in recent years. Although the use of digital tools in the assessment of food consumption in Brazil has grown in recent years, studies did not describe the process of creating and validating the tools, which would contribute to the improvement of data quality. Investments that allow the expansion of the use of the internet and mobile devices; the improvement of digital literacy; and the development of open-access tools, especially in the North and Northeast regions, are challenges that require a concerted effort towards providing equal opportunities, fostering encouragement, and delving deeper into the potential of digital tools within studies pertaining to food consumption in Brazil.
This is the third in a series of articles reporting on forensic epistemology. Our first two research articles presented scientific results that are based in experimental design; including quantitative and qualitative responses from forensic science practitioners to scenarios and evidence. Based on a synthesis of this research there is evidence of a knowledge gap in formal reasoning for some forensic practitioners, and a limited understanding of case-specific research. Combining these results with a review of the current literature in the field of forensic reasoning, we now offer evidence of teaching and research strategies that can help increase the epistemic status (Confidence in, and justification of knowledge) of forensic science claims. This paper focuses on an integrated narrative review using hermeneutic methods of analysis to identify: (i) the epistemic state of forensic science; (ii) strategies to increase of knowledge; (iii) the need for collaboration between practitioners and academics; and, (iv) areas for future research.
This laboratory module familiarizes students with flow cytometry while acquiring quantitative reasoning skills during data analysis. Leukocytes, also known as coelomocytes (including hyaline and granular amoebocytes, and chloragocytes), from Eisenia hortensis (earthworms) are isolated from the coelomic cavity and used for phagocytosis of fluorescent Escherichia coli. Students learn how to set up in vitro cellular assays and become familiar with theoretical principles of flow cytometry. Histograms based on fluorescence and scatter properties combined with gating options permit students to restrict their analyses to particular subsets of coelomocytes when measuring phagocytosis, a fundamentally important innate immune mechanism used in earthworms. Statistical analysis of data is included in laboratory reports which serve as the primary assessment instrument.
This laboratory module simulates the process used by working scientists to ask and answer a question of biological interest. Instructors facilitate acquisition of knowledge using a comprehensive, inquiry-based approach in which students learn theory, hypothesis development, experimental design, and data interpretation and presentation. Using inflammation in macrophages as a model system, students perform a series of molecular biology techniques to address the biological question: "Does stimulus 'X' induce inflammation?" To ask this question, macrophage cells are treated with putative inflammatory mediators and then assayed for evidence of inflammatory response. Students become familiar with their assigned mediator and the relationship between their mediator and inflammation by conducting literature searches, then using this information to generate hypotheses which address the effect of their mediator on induction of inflammation. The cellular and molecular approaches used to test their hypotheses include transfection and luciferase reporter assay, immunoblot, fluorescence microscopy, enzyme-linked immunosorbent assay, and quantitative PCR. Quantitative and qualitative reasoning skills are developed through data analysis and demonstrated by successful completion of post-lab worksheets and the generation and oral presentation of a scientific poster. Learning objective assessment relies on four instruments: pre-lab quizzes, post-lab worksheets, poster presentation, and posttest. Within three cohorts (n = 85) more than 95% of our students successfully achieved the learning objectives.
This longitudinal observational cohort study aimed to clarify the relationship between perceived value (PV) to adopt new behaviors and incident disability in community-dwelling older adults. Participants were 5073 community-dwelling older adults aged ≥65 years in Japan (Mage = 74.0 ± 5.6 years; female = 55.1%). The mean follow-up time was 34.5 months. Baseline data were collected during health checkups in a prospective cohort study. Measurements included engagement in physical activity (PA), cognitive activity (CA), and social activity (SA), PV, health and physical conditions, and demographic characteristics. PV was assessed by asking whether participants thought it was valuable to adopt new behaviors related to PA, CA, and SA. Participants were classified as having higher/lower PV, PA, CA, and SA. Cox proportional hazard models were used to analyze the association between PV and incident disability. PV was examined both as an independent variable and in combination as follows: higher PV and higher PA/CA/SA (high/high); lower PV and higher PA/CA/SA (low/high); higher PV and lower PA/CA/SA (high/low); and lower PV and lower PA/CA/SA (low/low). Higher PV was significantly associated with a lower hazard ratio (HR) for incident disability. The low/high, high/low, and low/low significantly increased the HR compared to high/high in the analyses of PV & PA and CA. The analysis of PV & SA showed that only low/low increased the HR compared to high/high. Having both higher PV and higher activity engagement may contribute to preventing disability development. Both support for activities and value education in older adults may be needed.
This longitudinal study aimed at evaluating the relationships between socio-economic status (SES) and early literacy and numeracy skills, testing home literacy and home numeracy as mediators. It also investigated the interaction of home literacy and numeracy on early literacy and numeracy skills. The study involved 310 preschool children attending the second and the third year. Parents completed questionnaires on SES and home literacy and numeracy. In the first session, children were administered language measures and non-symbolic numeracy skills and, in the second wave, tasks of early literacy and symbolic numeracy skills. Structural equation models (SEMs) showed that SES was predictive of early language and literacy skills and non-symbolic numeracy skills. In addition, home literacy and home numeracy significantly mediated the relationships between SES and children's skills. Finally, home literacy and home numeracy showed a significant negative interaction on symbolic numeracy skills. Implications for research and educational settings are discussed.
This longitudinal study investigated how characteristics of individual and social relationships affect Korean students' creativity development. Fifth graders (male: 3,623, female: 3,701) from 242 schools in Korea were followed annually from their 5th to 9th grades (indicating from the 5th elementary school grade to the 3rd middle school grade in the Korean school system). Exploratory factor analysis, internal consistency reliability (coefficient alpha), confirmatory factor analysis, and two-level growth model methods were performed. We investigated all nine constructs and their related items by checking metric and scalar invariance assumptions. When the measurement invariance assumptions were satisfied, we used the mean of items that constitute respective factors. We checked growth trajectories of creativity and tapped the possibility of the existence of subgroups based on the growth/change pattern using latent class growth modeling. The results showed that no subgroups existed. Thus, we constructed a two-level growth model to investigate the overall growth pattern of the students. Regarding level 1, we included time-varying variables such as peer attachment, self-regulation habits (self-management), parents' academy-oriented involvement, parent affective support, individualized, interactive teaching methods, teachers' academic pressure, and academic achievement. At level 2, we used gender and parenting style that was obtained at time point 1. The final combined model incorporating level 1 and 2 variables showed that students' self-regulation had the most association with the student's creativity followed by peer attachment, parents' academic support, interaction with parents, interaction with teachers, academic pressure from teachers, and relationships with teachers. Methods for enhancing students' creativity were discussed.
This manuscript presents a technique for solving a multiple-objective probabilistic fractional programming problem with discrete random variables. A multiple-objective probabilistic mathematical model is constructed with fractional objectives. In the model, some parameters of coefficients and right hand side parameters of restrictions are assumed as random variables having Pascal and Hyper geometric distributions. The feasibility of probabilistic constraints is checked by means of stochastic simulation. Genetic algorithm approach method is used to obtain the Pareto optimal solution of the proposed model without finding the deterministic model. Genetic algorithm parameters are fixed in all generation. The proposed method is coded by C++ programming language. To illustrate the method, a numerical example and practical example on the case of supply chain management are presented. The result shows that the values of the objective functions are conflicting each other.
This manuscript presents the pioneering use of a post-event staff debriefing tool, TALK, in Acute Child and Adolescent Mental Health Units (CAMHU). While unsuccessful in reducing the rate and severity of patient behavioural events, our centre observed promising psychological benefits for CAMHU staff as a result of debriefing, with the tool promoting emotional resiliency and providing a platform for open conversations. Debriefing also served as a venue for patient concerns with care to be raised by staff, addressed and reflected in updated care plans. This initiative demonstrates the utility of debriefing to foster a culture of learning, improve staff wellness and enhance patient safety in CAMHU settings.
This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date. The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.
This meta-analysis aimed to evaluate the performance of the Injury Severity Score (ISS), Trauma and Injury Severity Score (TRISS), and the Geriatric Trauma Outcome Score (GTOS) in predicting mortality in geriatric trauma patients. The MEDLINE, Web of Science, and EMBASE databases were searched for studies published from January 2008 to October 2023. Studies assessing the performance of the ISS, TRISS, or GTOS in predicting mortality in geriatric trauma patients (over 60 years old) and reporting data for the analysis of the pooled area under the receiver operating characteristic curve (AUROC) and the hierarchical summary receiver operating characteristic curve (HSROC) were included. Studies that were not conducted in a group of geriatric patients, did not consider mortality as the outcome variable, or had incomplete data were excluded. The Critical Appraisal Skills Programme (CASP) Clinical Prediction Rule Checklist was utilized to assess the risk of bias in included studies. STATA 16.0. was used for the AUROC analysis and HSROC analysis. Nineteen studies involving 118,761 geriatric trauma patients were included. The pooled AUROC of the TRISS (AUC = 0.82, 95% CI: 0.77-0.87) was higher than ISS (AUC = 0.74, 95% CI: 0.71-0.79) and GTOS (AUC = 0.80, 95%CI: 0.77-0.83). The diagnostic odds ratio (DOR) calculated from HSROC curves also suggested that the TRISS (DOR = 21.5) had a better performance in predicting mortality in geriatric trauma patients than the ISS (DOR = 6.27) and GTOS (DOR = 4.76). This meta-analysis suggested that the TRISS showed better accuracy and performance in predicting mortality in geriatric trauma patients than the ISS and GTOS.
This methodology work has been made to investigate the factors which affect the feasibility and readiness of e-commerce in developing nations. An online and offline survey has been carried out to collect feedback from the banks, government bodies, consumers, and e-retailers all over Ethiopia and their responses have been analyzed through descriptive statistics by using Statistical Package for the Social Sciences software program. The results and finding give a clear understanding of the feasibility and readiness of e-commerce and reveals that the technological and organizational aspects, lack of Information and Communications Technology infrastructure, cross-country legal and regulatory differences, lack of digital literacy among consumers and businesses in terms of computer literacy, language barriers, lack of distribution system, lack of trust on e-commerce are the factors which affect the feasibility of e-commerce in Ethiopia. The feasibility can be improved by providing suitable information and communications technology infrastructure, improving cross-country regulatory differences, promoting ICTs in education targeting all levels of the educational system, facilitating foreign direct investment drive in ICTs, making a website attractive and user-friendly. The results of statistical analyses indicate that Ethiopia has significant potential for the feasibility of e-commerce.•E-Commerce offers potential in the form of enhanced participation in the international value chain and public relations.•The feasibility can be improved by providing suitable ICT infrastructure, improving cross-country regulatory differences.•This research study reveals interesting facts about the potential and opportunity of e-commerce in Ethiopia.