Yoxas/statistical_literacy huggingface dataset:
BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) is a student-centered, closed-loop teaching model that emphasizes real-time communication and feedback. The purpose of this study was to review and evaluate the effect of BOPPPS teaching model in "Fundamentals of Nursing" teaching. We conducted a meta-analysis of randomized controlled trials (RCTs) based on the BOPPPS teaching model in "Fundamentals of Nursing" teaching. To review domestic and foreign databases for the period 2010 to September 2023. Finally, 13 RCTs were included and the teaching outcomes were measured and analyzed. Two researchers independently identified, selected, and extracted data from the study and examined the risk of bias. The primary outcomes were students' examination scores (theoretical scores: scores obtained in the nursing fundamentals course, reflecting students' understanding and mastery of the course content; practical scores: assessment results based on practical application or experimental skills, evaluating students' practical skill level). The secondary outcomes were self-learning ability score: indicators assessing students' self-directed learning ability, reflecting their competence in independent learning and autonomous exploration; and satisfaction rate of teaching effect: the overall satisfaction rate of students with the teaching effects experienced during teaching process reflects the proportion of students' acceptance and satisfaction with the teaching program. The results were evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) profiler software. The GRADE profiler software is used to assess and grade the recommendations according to the GRADE (Grading of Recommendations Assessment, Development, and Assessment) criteria. A total of 13 studies were included, consisting of 2,991 nursing students. Among them, 1,465 students were in the BOPPPS teaching group, while 1,526 students were in the traditional teaching group. The summary analysis of the main outcomes showed that the BOPPPS teaching model had significantly higher scores in theoretical score (MD = 3.35, 95% CI: 2.35-4.35, Z = 6.56, p < 0.00001), practice score (MD = 4.50, 95% CI: 1.95-7.05, Z = 3.45, p = 0.0006), and self-learning ability score (MD = 6.76, 95% CI: 5.38-8.14, Z = 9.60, p < 0.00001) compared to the traditional teaching group. The satisfaction rate of students in the BOPPPS teaching group regarding teaching effectiveness was 89% (95% CI = 0.84-0.93). The differences were statistically significant (p < 0.05). The GRADE evidence level for theoretical score and satisfaction rate of teaching effect is low. The evidence level for practice score is very low, and for self-learning ability score is moderate. The BOPPPS teaching mode is helpful to improve the theoretical score, practice score, and self-learning ability score of "Fundamentals of Nursing," and improve the satisfaction rate of students to the teaching effect. The teaching effect is better than the traditional teaching method.
Both care continuity and coordination are considered essential elements of health care system. However, little is known about the relationship between care continuity and coordination. This study aimed to differentiate the concepts of care continuity and coordination by developing and testing the reliability and validity of the Combined Outpatient Care Continuity and Coordination Assessment (COCCCA) questionnaire under the universal coverage health care system in Taiwan from a patient perspective. Face-to-face interviews were conducted nationwide with community-dwelling older adults selected via stratified multistage systematic sampling with probability-proportional-to-size process. A total of 2,144 subjects completed the questionnaire, with a response rate of 44.67%. The 16 items of the COCCCA questionnaire were identified via item analysis and principal component analysis (PCA). The PCA generated five dimensions: three continuity-oriented (interpersonal, information sharing and longitudinal between patients and physicians) and two coordination-oriented (information exchange and communication/cooperation among multiple physicians). The second-order confirmatory factor analysis supported the factor structure and indicated that distinct constructs of care continuity and coordination can be identified. The COCCCA instrument can differentiate the concepts of care continuity and care coordination and has been demonstrated to be valid and reliable in outpatient care settings from a patient perspective.
Both in 5v5 and 3x3 basketball, the goal of the players is to score more points than the opponent. However, the differences in rules between two basketball disciplines can affect thinking, behaviour, and decisions of the players. A core difference between two disciplines is the value of the shots. In 5v5, long-range shots are worth three points and close-range two, while in 3x3, their values are two and one points, respectively. As the value ratio of the close and long-range shots is greater in 3x3, we assume that players make different decisions about their shot selection in 3x3 than in 5v5, which can affect offensive efficiency. We analysed game statistics of the 2019 men's 5v5 and 3x3 Basketball World Cups. Besides regular statistical indicators, we applied relative offensive rating to be able to compare the two disciplines. The analysis of relative offensive rating showed that offences are more effective in 5v5 than in 3x3. We also found significant difference in shot selection and efficiency. In 3x3, there is a higher proportion of the shots than in 5v5, but long-range shots are more successful in 5v5. For rule differences that affect player's shot selection and affect offensive efficiency, their decisions are characterized by ecological dynamics and naturalistic decision-making.
Both mathematical and narrative abilities are considered critical dimensions of children's kindergarten readiness skills and are emphasized in developmental standards and readiness assessments during the prekindergarten period. Yet, despite considerable opportunities available to educators to leverage potential cross-domain associations in their instruction, little is known about how component math skills are associated with narrative skills. The current study extends prior theoretical and empirical work on cross-domain associations by examining the extent to which component math skills, constituting a kindergarten readiness assessment battery, are associated with narrative comprehension skills in children aged 4-6 years. Two geographically distinct samples of children enrolled in a summer kindergarten readiness program in the United States (N = 108) were used to explore how early numeracy skills (e.g., counting, cardinality), math language, and patterning skills individually and together contributed to variance in narrative comprehension skills. Zero-order correlations indicated that math and narrative skills were significantly and moderately correlated, with cardinality and math language skills showing the strongest associations, followed by patterning and counting skills. Furthermore, results from a multiple regression analysis indicated that cardinality and math language each explained a significant and substantial proportion of variance in narrative comprehension skills when controlling for the other math skills. Implications for theoretical models of cross-domain development of children's cognitive skills are discussed.
Both nanopore-based DNA sequencing and CRISPR/Cas-based gene editing represent groundbreaking innovations in molecular biology and genomics, offering unprecedented insights into and tools for working with genetic information. For students, reading, editing, and even writing DNA will be part of their everyday life. We have developed a laboratory procedure that includes (i) the biosynthesis of a guide RNA for, (ii) targeting Cas9 to specifically linearize the pBR322 plasmid, and (iii) the identification of the cutting site through nanopore DNA sequencing. The protocol is intentionally kept simple and requires neither living organisms nor biosafety laboratories. We divided the experimental procedures into separate activities to facilitate customization. Assuming access to a well-equipped molecular biology laboratory, an initial investment of approximately $2,700 is necessary. The material costs for each experiment group amount to around $130. Furthermore, we have developed a freely accessible website (https://dnalesen.hs-mittweida.de) for sequence read analysis and visualization, lowering the required computational skills to a minimum. For those with strong computational skills, we provide instructions for terminal-based data processing. With the presented activities, we aim to provide a hands-on experiment that engages students in modern molecular genetics and motivates them to discuss potential implications. The complete experiment can be accomplished within half a day and has been successfully implemented by us at high schools, in teacher training, and at universities. Our tip is to combine CRISPR/Cas gene targeting with nanopore-based DNA sequencing. As a tool, we provide a website that facilitates sequence data analysis and visualization.
Both the World Health Organization and U.S. Department for Health and Human Services have emphasized the importance of health literacy (HL) to improving population health and reducing health disparities. HL includes three core areas/qualities: functional (i.e., health-related reading, writing, and numeracy), interactive/communicative (i.e., skills for interacting with multiple constituents and sources of information and navigating the health environment), and critical (i.e., personal and community advocacy for health). HL is implicated in medical adherence, preventive health, mental health stigma and help-seeking, and health decision-making. Though HL is critical to health and health decision-making, research on HL is still relatively limited, with most research focusing on functional HL. A major gap in research is related to the lack of measurement of interactive and critical HL. To address this gap, this study modified and assessed the validity of the Assessments of Adolescent Health Literacy (AAHL-Adolescent), test-based assessments of adolescents' functional, interactive, and critical HL, in an adult sample. One item from the AAHL-Adolescent item bank was modified to be more appropriate for an adult sample. Adults (n=2346) completed a measurement battery that included the HL item bank (12 functional, 15 interactive, and 9 critical HL questions), Newest Vital Sign (NVS), Single-Item Literacy Scale (SILS), demographics, and questions about HL-related behaviors. The assessments were evaluated and validated using Rasch measurement models. Convergent and criterion validity were assessed. The final 7-item functional, 10-item interactive, and 7-item critical HL assessments and their composite (24 items) fit their respective Rasch models. Item-level invariance was established for gender, ethnicity, education, and age across all assessments. Differential item functioning for race was noted for two items on the interactive HL assessments. Good convergent validity with the NVS and SILS and good criterion validity with the HL-related behaviors were observed for all assessments. The AAHL-Adult is the first test-based instrument validated in the U.S. that includes assessments for all three core qualities of HL. These assessments have utility across multiple settings, including public health program planning and evaluation, intervention development and evaluation, and clinical settings.
Bovine respiratory disease (BRD) presents a challenge to farmers all over the globe not only because it can have significant impacts on welfare and productivity, but also because diagnosis can prove challenging. Several clinical scoring systems have been developed to aid farmers in making consistent early diagnosis, 2 examples being the Wisconsin (WCS) and the California (CALIF) systems. Neither of these systems were developed in or for use in a temperate environment. As environment may lead to changes in BRD presentation, the weightings and cut offs designed for one environmental presentation of BRD may not be appropriate when used in a temperate climate. Additionally, the interpretation of the scores recorded varies between studies; this may also influence conclusions. Hence, the objective of this work was to investigate the sensitivity (Se) and specificity (Sp) of these tests in a temperate climate and investigate the influence of varying the interpretation on the performance of the WCS. In this prospective study, 98 commercial spring calving dairy farms were recruited (40 randomly, 58 targeted) and visited. Thoracic ultrasound and WCS was performed on 20 randomly sampled calves between 4 and 6 weeks of age on each farm. On a subset of 32 farms, the CALIF score was also undertaken. The data were then used in a hierarchical Bayesian latent class model to estimate the Se and Sp of 5 different interpretations of the Wisconsin clinical score and one interpretation of the California clinical score. In total, 1,936 calves were examined. The Se of the Wisconsin score varied from 0.336 to 0.577 depending on the interpretation used and the Sp varied from 0.943 to 0.977. The Se of the California score was 0.529 (95% Bayesian credible interval (BCI); 0.403, 0.651) and the Sp was 0.903 (95% bci; 0.883, 0.922). In conclusion, the performance of the clinical scores in a temperate environment were similar to previously published work from more extreme climates, however the performance varied widely depending on the score interpretation. Authors should justify their usage of a particular clinical score interpretation to improve clarity in publications.
Brachytherapy (BT) is integral in treatment of gynecological malignancies and is also an option for many other cancers. Data on training and proficiency levels of early career oncologists is limited. Like other continents a survey was conducted for early career oncologists in India. An online survey was conducted from November 2019 to February 2020, through Association of Radiation Oncologists of India (AROI) for early career radiation oncologists expected to be within 6 years of training. The survey used a 22 item questionnaire that was also used for European survey. Responses to individual statements were recorded on a 1-5 Likert-type scale. Descriptive statistics were used to describe proportions. One-hundred twenty-four (17%) of 700 recipients responded to the survey. Majority of the respondents (88%) stated that being able to perform BT at the end of their training was important. Two-thirds of the respondents (81/124) had performed >10 intracavitary procedure and 22.5% had performed >10 intracavitary-interstitial implants. Many respondents had not performed nongynecological procedure- breast (64%), prostate(82%), gastro-intestinal (47%). Respondents predicted that in next 10 years, the role of BT is likely to increase. Lack of dedicated curriculum and training was perceived as the greatest barriers to achieving independence in BT (58%). Respondents suggested that BT training should be prioritized during conferences (73%) and online teaching modules (56%), along with development of BT skills labs (65%). This survey identified a lack of proficiency in gynecological intracavitary-interstitial brachytherapy and non-gynecological brachytherapy, despite BT training being regarded as highly important. Dedicated programs, including standardized curriculum and assessment need to be developed for training early- career radiation oncologists in BT.
Bradykinesia and rigidity are considered closely related motor signs in Parkinson disease (PD), but recent neurophysiological findings suggest distinct pathophysiological mechanisms. This study aims to examine and compare longitudinal changes in bradykinesia and rigidity in PD patients treated with bilateral subthalamic nucleus deep brain stimulation (STN-DBS). In this retrospective cohort study, the clinical progression of appendicular and axial bradykinesia and rigidity was assessed up to 15 years after STN-DBS in the best treatment conditions (ON medication and ON stimulation). The severity of bradykinesia and rigidity was examined using ad hoc composite scores from specific subitems of the Unified Parkinson's Disease Rating Scale motor part (UPDRS-III). Short- and long-term predictors of bradykinesia and rigidity were analyzed through linear regression analysis, considering various preoperative demographic and clinical data, including disease duration and severity, phenotype, motor and cognitive scores (eg, frontal score), and medication. A total of 301 patients were examined before and 1 year after surgery. Among them, 101 and 56 individuals were also evaluated at 10-year and 15-year follow-ups, respectively. Bradykinesia significantly worsened after surgery, especially in appendicular segments (p < 0.001). Conversely, rigidity showed sustained benefit, with unchanged clinical scores compared to preoperative assessment (p > 0.05). Preoperative motor disability (eg, composite scores from the UPDRS-III) predicted short- and long-term outcomes for both bradykinesia and rigidity (p < 0.01). Executive dysfunction was specifically linked to bradykinesia but not to rigidity (p < 0.05). Bradykinesia and rigidity show long-term divergent progression in PD following STN-DBS and are associated with independent clinical factors, supporting the hypothesis of partially distinct pathophysiology. ANN NEUROL 2024.
Brain region-specific changes have been demonstrated with a variety of cognitive training interventions. The effect of cognitive training on brain subnetworks in humans, however, remains largely unknown, with studies limited to functional networks. Here, we used a well-established working memory training program and state-of-the art neuroimaging methods in 40 healthy adults (21 females, mean age 26.5 years). Near and far-transfer training effects were assessed using computerized working memory and executive function tasks. Adaptive working memory training led to improvement on (non)trained working memory tasks and generalization to tasks of reasoning and inhibition. Graph theoretical analysis of the structural (white matter) network connectivity ("connectome") revealed increased global integration within a frontoparietal attention network following adaptive working memory training compared with the nonadaptive group. Furthermore, the impact on the outcome of graph theoretical analyses of different white matter metrics to infer "connection strength" was evaluated. Increased efficiency of the frontoparietal network was best captured when using connection strengths derived from MR metrics that are thought to be more sensitive to differences in myelination (putatively indexed by the [quantitative] longitudinal relaxation rate, R1) than previously used diffusion MRI metrics (fractional anisotropy or fiber-tracking recovered streamlines). Our findings emphasize the critical role of specific microstructural markers in providing important hints toward the mechanisms underpinning training-induced plasticity that may drive working memory improvement in clinical populations. This is the first study to explore training-induced changes in the structural connectome using a well-controlled design to examine cognitive training with up-to-date neuroimaging methods. We found changes in global integration based on white matter connectivity within a frontoparietal attention network following adaptive working memory training compared with a nonadaptive comparison group. Furthermore, the impact of different diffusion MR metrics and more specific markers of white matter on the graph theoretical findings was evaluated. An increase in network global efficiency following working memory training was best captured when connection strengths were weighted by MR relaxation rates (influenced by myelination). These results are important for the optimization of cognitive training programs for healthy individuals and people with brain disease.
Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in imaging. Traditional methodologies primarily rely on manual interpretation of MRI images, supplemented by conventional machine learning techniques. These approaches often lack the robustness and scalability needed for precise and automated tumor classification. The major limitations include a high degree of manual intervention, potential for human error, limited ability to handle large datasets, and lack of generalizability to diverse tumor types and imaging conditions.To address these challenges, we propose a federated learning-based deep learning model that leverages the power of Convolutional Neural Networks (CNN) for automated and accurate brain tumor classification. This innovative approach not only emphasizes the use of a modified VGG16 architecture optimized for brain MRI images but also highlights the significance of federated learning and transfer learning in the medical imaging domain. Federated learning enables decentralized model training across multiple clients without compromising data privacy, addressing the critical need for confidentiality in medical data handling. This model architecture benefits from the transfer learning technique by utilizing a pre-trained CNN, which significantly enhances its ability to classify brain tumors accurately by leveraging knowledge gained from vast and diverse datasets.Our model is trained on a diverse dataset combining figshare, SARTAJ, and Br35H datasets, employing a federated learning approach for decentralized, privacy-preserving model training. The adoption of transfer learning further bolsters the model's performance, making it adept at handling the intricate variations in MRI images associated with different types of brain tumors. The model demonstrates high precision (0.99 for glioma, 0.95 for meningioma, 1.00 for no tumor, and 0.98 for pituitary), recall, and F1-scores in classification, outperforming existing methods. The overall accuracy stands at 98%, showcasing the model's efficacy in classifying various tumor types accurately, thus highlighting the transformative potential of federated learning and transfer learning in enhancing brain tumor classification using MRI images.