Yoxas/statistical_literacy huggingface dataset:
Macrofungi, such as edible mushrooms, have been used as a valuable medical resource for millennia as a result of their antibacterial and immuno-modulatory components. Mushrooms contain dietary fibers known as β-glucans, a class of polysaccharides previously linked to the induction of Trained Immunity. However, little is known about the ability of mushroom-derived β-glucans to induce Trained Immunity. Using various powdered forms of the white button mushroom (Agaricus bisporus), we found that mouse macrophages pre-treated with whole mushroom powder (WMP) displayed enhanced responses to restimulation with TLR ligands, being particularly sensitive to Toll-like receptor (TLR)-2 stimulation using synthetic lipopeptides. This trained response was modest compared to training observed with yeast-derived β-glucans and correlated with the amount of available β-glucans in the WMP. Enriching for β-glucans content using either a simulated in-vitro digestion or chemical fractionation retained and boosted the trained response with WMP, respectively. Importantly, both WMP and digested-WMP preparations retained β-glucans as identified by nuclear magnetic resonance analysis and both displayed the capacity to train human monocytes and enhanced responses to restimulation. To determine if dietary incorporation of mushroom products can lead to Trained Immunity in myeloid cells in vivo, mice were given a regimen of WMP by oral gavage prior to sacrifice. Flow cytometric analysis of bone-marrow progenitors indicated alterations in hematopoietic stem and progenitor cells population dynamics, with shift toward myeloid-committed multi-potent progenitor cells. Mature bone marrow-derived macrophages derived from these mice displayed enhanced responses to restimulation, again particularly sensitive to TLR2. Taken together, these data demonstrate that β-glucans from common macrofungi can train innate immune cells and could point to novel ways of delivering bio-available β-glucans for education of the innate immune system.
Macromolecular crystal structures are among the best of scientific data, providing detailed insight into these complex and biologically important molecules with a relatively low level of error and subjectivity. However, there are two notable problems with getting the most information from them. The first is that the models are not perfect: there is still opportunity for improving them, and users need to evaluate whether the local reliability in a structure is up to answering their question of interest. The second is that protein and nucleic acid molecules are highly complex and individual, inherently handed and three-dimensional, and the cooperative and subtle interactions that govern their detailed structure and function are not intuitively evident. Thus there is a real need for graphical representations and descriptive classifications that enable molecular 3D literacy. We have spent our career working to understand these elegant molecules ourselves, and building tools to help us and others determine and understand them better. The Protein Data Bank (PDB) has of course been vital and central to this undertaking. Here we combine some history of our involvement as depositors, illustrators, evaluators, and end-users of PDB structures with commentary on how best to study and draw scientific inferences from them.
Maintaining a healthy lifestyle during pregnancy is essential. With the increasing availability of the internet, pregnant women have access to a wealth of information related to physical activity (PA) and healthy diets. The study aims to investigate the extent of internet usage by pregnant women attending antenatal clinics in Qatar to obtain information about PA and healthy diets, identify associated factors, and evaluate the impact of this information on their lifestyle habits. A cross-sectional study was conducted in six randomly selected public antenatal clinics in Qatar. Pregnant women aged ≥18 years in any trimester were recruited using a probability sampling technique. Data were collected through self-administered questionnaires. Descriptive and analytic statistics were employed for data analysis. A total of 327 pregnant women (mean age of 29.5 years ± 4.0) completed and returned the questionnaire (response rate: 87.5%). Among the participants, 54.5% used the internet to obtain information about PA, while 72% sought online diet-related information. Factors such as age (26-35 years), tertiary education, employment status, and being primigravidae were associated with a higher likelihood of using the internet for healthy lifestyles information. Participants who reported using the internet for PA information a great deal were more likely to increase their PA during pregnancy compared to those who used it somewhat or very little (57.6, 26.8, and 5.0%, p < 0.001; respectively). Similarly, those who used the internet for diet information a great deal were more likely to increase their fruit and vegetable consumption compared to those who used it somewhat, or very little (84.2, 68.5, and 63.6%, p = 0.038; respectively). Also, participants who used the internet for diet information a great deal were more likely to decrease the amount of sugary and fatty foods they ate compared to women who used the internet somewhat or very little (61.4, 45.2, and 18.2%, p < 0.001; respectively) and (50.9, 30.4, and 18.2%, p = 0.001; respectively). Many pregnant women use the internet to access information about PA and diet, and greater use is associated with more positive lifestyle changes. This study provides useful information to consider when designing intervention programs for pregnant women about adopting and maintaining healthy lifestyles.
Maintaining people living with HIV (PLWHIV) in clinical care is a global priority. In the Metro Detroit area of Michigan, approximately 30% of PLWHIV are out of care. To re-engage lost-to-follow-up patients, Wayne Health Infectious Disease clinic launched an innovative Homecare program in 2017. In addition to home healthcare delivery, the program included links to community resources and quarterly community meetings. We aimed to evaluate Homecare's impact on participants' ability to stay engaged in HIV care and reach viral suppression. We included data from PLWHIV and their healthcare workers. We used a convergent mixed-methods design, including first year program record review, semi-structured interviews, and a validated Likert scale questionnaire rating illness perception before and after Homecare. Interview data were collected from 15 PLWHIV in Metro Detroit and two healthcare workers responsible for program delivery. Semi-structured interviews focused on obstacles to clinic-based care, support networks, and illness perceptions. Interview data were transcribed and analyzed using a thematic approach. A fully coded analysis was used to create a conceptual framework of factors contributing to Homecare's success. Means in eight categories of the Brief Illness Perception (IPQ) were compared using paired T-tests. In the first year of Homecare, 28 of 34 participants (82%) became virally suppressed at least once. The program offered (1) social support and stigma reduction through strong relationships with healthcare workers, (2) removal of physical and resource barriers such as transportation, and (3) positive changes in illness perceptions. PLWHIV worked towards functional coping strategies, including improvements in emotional regulation, acceptance of their diagnosis, and more positive perspectives of control. Brief-IPQ showed significant changes in six domains before and after Homecare. Homecare offers an innovative system for successfully re-engaging and maintaining lost-to-follow-up PLWHIV in care. These findings have implications for HIV control efforts and could inform the development of future programs for difficult to reach populations.
Maintaining physical activity habits is important for long-term health benefits. Many children do not achieve the World Health Organization (WHO) benchmark of 60 min Moderate-to-Vigorous Physical Activity (MVPA) daily. Comprehensive school physical activity programs (CSPAP) target all opportunities at school for children to be physically active. The purpose of this intervention study was to investigate boys' and girls' voluntary participation and MVPA in physical activity recess sessions during and after these were connected with the content of physical education. 147 (55 girls, 92 boys; mean age = 8 years) second grade children from seven different schools received a 10-lesson parkour unit in physical education and were concurrently offered five parkour recess sessions. After the parkour unit in physical education (i.e., maintenance) another five parkour sessions in which children could voluntarily participate were organized. Systematic observation tools were used to assess children's MVPA. Overall participation in parkour recess was 64% for both boys and girls. Participation decreased from intervention to maintenance phase for both boys (75% vs 54%; p < .001) and girls (80% vs 49%; p < .001). MVPA was higher for boys compared to girls in parkour recess (64% vs 58%; p = .002) and traditional recess (49% vs 39%; p = .006), but not in physical education (40% vs 37%). One aspect of physical activity promotion is to connect recess activities with the content taught in physical education, which could contribute up to 20% of the daily recommended MVPA. Positive effects maintained when the connection between physical education and recess stopped.
Maintaining user engagement with mobile health (mHealth) apps can be a challenge. Previously, we developed a conceptual model to optimize patient engagement in mHealth apps by incorporating multiple evidence-based methods, including increasing health literacy, enhancing technical competence, and improving feelings about participation in clinical trials. This viewpoint aims to report on a series of exploratory mini-experiments demonstrating the feasibility of testing our previously published engagement conceptual model. We collected data from 6 participants using an app that showed a series of educational videos and obtained additional data via questionnaires to illustrate and pilot the approach. The videos addressed 3 elements shown to relate to engagement in health care app use: increasing health literacy, enhancing technical competence, and improving positive feelings about participation in clinical trials. We measured changes in participants' knowledge and feelings, collected feedback on the videos and content, made revisions based on this feedback, and conducted participant reassessments. The findings support the feasibility of an iterative approach to creating and refining engagement enhancements in mHealth apps. Systematically identifying the key evidence-based elements intended to be included in an app's design and then systematically testing the implantation of each element separately until a satisfactory level of positive impact is achieved is feasible and should be incorporated into standard app design. While mHealth apps have shown promise, participants are more likely to drop out than to be retained. This viewpoint highlights the potential for mHealth researchers to test and refine mHealth apps using approaches to better engage users.
Maize demand in Sub-Saharan Africa is expected to increase 2.3 times during the next 30 years driven by demographic and dietary changes. Over the past two decades, the area cropped with maize has expanded by 17 million hectares in the region, with limited yield increase. Following this trend could potentially result in further maize cropland expansion and the need for imports to satisfy domestic demand. Here, we use data collected from 14,773 smallholder fields in the region to identify agronomic practices that can improve farm yield gains. We find that agronomic practices related to cultivar selection, and nutrient, pest, and crop management can double on-farm yields and provide an additional 82 million tons of maize within current cropped area. Research and development investments should be oriented towards agricultural practices with proven capacity to raise maize yields in the region.
Major depression disorder (MDD) forms a common psychiatric comorbidity among patients with narcolepsy type 1 (NT1), yet its impact on patients with NT1 is often overlooked by neurologists. Currently, there is a lack of effective methods for accurately predicting MDD in patients with NT1. This study utilized machine learning (ML) algorithms to identify critical variables and developed the prediction model for predicting MDD in patients with NT1. The study included 267 NT1 patients from four sleep centers. The diagnosis of comorbid MDD was based on Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5). ML models, including six full models and six compact models, were developed using a training set. The performance of these models was compared in the testing set, and the optimal model was evaluated in the testing set. Various evaluation metrics, such as Area under the receiver operating curve (AUC), precision-recall (PR) curve and calibration curve were employed to assess and compare the performance of the ML models. Model interpretability was demonstrated using SHAP. In the testing set, the logistic regression (LG) model demonstrated superior performance compared to other ML models based on evaluation metrics such as AUC, PR curve, and calibration curve. The top eight features used in the LG model, ranked by feature importance, included social impact scale (SIS) score, narcolepsy severity scale (NSS) score, total sleep time, body mass index (BMI), education years, age of onset, sleep efficiency, sleep latency. The study yielded a straightforward and practical ML model for the early identification of MDD in patients with NT1. A web-based tool for clinical applications was developed, which deserves further verification in diverse clinical settings.
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders. Individuals who were exposed to childhood maltreatment might be an especially vulnerable group and were more likely to meet the diagnostic criteria for depression than those who were not. Trait depression refers to a personality trait predisposition to depression, expressed as the frequency of symptoms rather than a transient depressive mood state. Clarifying the relationship between childhood maltreatment and trait depression in patients with MDD has therefore become an important field of research. Childhood Trauma Questionnaire-Short Form (CTQ-SF), Ruminative Responses Scale (RRS), State-Trait Depression Scale (ST-DEP), and Mindful Attention Awareness Scale (MAAS) were used as research instruments. SPSS 23.0 statistical software was used for statistical analysis and examined the moderated mediation models. A total of 288 patients with MDD were included in this study. After standardization of the variables, the model revealed childhood maltreatment was positively associated with trait depression (β = 0.215, p < 0.001) and that rumination partially mediated the effect between childhood trauma and trait depression. Mindfulness moderated the association between rumination and trait depression in depressed patients (β = 0.171, p < 0.001). Simple slope tests showed that rumination significantly predicted trait depression in patients with high levels of mindfulness (bsimple = 0.460, p < 0.001, 95%CI = [0.339, 0.581]), while this predictive effect was not significant in patients with low levels (bsimple = 0.119, p = 0.097, 95%CI = [-0.022, 0.261]). After adding mediating variables, we found that the negative impact of childhood maltreatment on trait depression was both directly and indirectly through the patients' own ruminative levels. However, mindfulness performed a critical moderating role in the overall mediating model, aggravating the negative impact of childhood maltreatment on trait depression. There are several limitations in this study: the history of childhood maltreatment was reviewed and reported; the MAAS was a single-dimensional questionnaire that fails to measure the content of other mindfulness factors; cross-sectional data could not be used to infer the causal relationship between variables.
Majority of the existing patient safety culture tools are designed for healthcare workers. Despite the claims that this patient safety tools are patient-centered, limited attention was given to the patients' perspectives and cultural considerations in the development. Local studies are not available in extant literature that capture patient perspectives on being safe during hospitalization. The goal of the study was to develop and provide preliminary psychometric analysis on a tool that measures patients' perception of safety culture in a hospital setting. The study was a quantitative methodological study. The instrument was developed in three phases, conceptualization and item generation through literature review, clinical observation, and focus group discussion, two rounds of expert panel review, and pilot testing. The tool was tested on 122 eligible patients admitted in a tertiary hospital. Factor analysis of the items was done to determine the underlying factor under each item. Cronbach's alpha was used to test the degree of internal consistency of the scale. The Patient Perceptions on Safety Culture in Hospital Setting Scale consists of 25 items. The analysis yielded four factors explaining a total of 69.23% of the variance in the data. Items were grouped in four dimensions: Hospital workforce (4 items), Hospital Environment (5 items), Heath Management and Care Delivery (7 items), and Information Exchange (9 items). Each factor registered a Cronbach's alpha of 0.81, 0.78, 0.91, 0.94, respectively. The overall Cronbach's alpha of the scale is 0.95. The study offers preliminary evidence on the psychometric properties of a newly developed tool that measures patient perceptions on hospital safety culture. Subsequent studies on larger samples need to be conducted to determine the reliability and validity of the tool when applied to different population and contexts as well as determining valid cut-off points in scoring and interpretation.
Maker education is a dominant force in education reform and is viewed as a revolutionary way to learn. As innovative pedagogy is continuously explored in the field of nursing, the emerging role of maker education must be examined. This research aims to build a nursing bachelor education program based on maker education and to evaluate the effectiveness of this program. Forty volunteer junior students majoring in nursing from a college were the subjects for this quasi-experiment. The training program for nursing students based on maker education was developed and implemented as an additional class for a period of 12 weeks. Before and after the experiment, two measures including the "Williams Creative Scale" and "Current Status Questionnaire of Nursing Students' Learning" were adopted for investigation, and corresponding statistical methods were used for analysis. The degree of satisfaction with this training program was investigated after the experiment. The average scores of creativity, learning interest, cooperative learning skill, scientific research ability, and information attainment of the nursing students after the implementation of maker education all improved. The differences in the above points before and after the experiment were all statistically significant (P < 0.05). Most of the students expressed satisfaction with this training program (72.5% were very satisfied, 15.0% were partially satisfied, and 12.5% were not satisfied). Implementing the training program based on maker education enhanced student creativity, learning interest, cooperative learning skill, scientific research ability, and information attainment. Comprehensive nursing talents were also cultivated. Our data suggested the importance of improving this program, adopting the method, and pursuing research in nursing education.
Making health science students aware of the importance of basic science knowledge for professional practice is a major educational challenge, especially during the early years of preclinical courses. Here, using an integrated curricular approach, we analyze whether Work Station Learning Activities (WSLA), which combine active learning methodologies for teaching basic science in clinical scenarios, can help to develop deeper learning and student engagement. In order to increase student motivation, we evaluated the effectiveness of WSLA using statistical analyses and an observation tool based on the ICAP (Interactive, Constructive, Active, and Passive) framework, which categorizes learning tasks based on the nature of student engagement. Statistical analyses revealed positive correlations between the different summative evaluations along the development of the activities, indicating the learning process inherent to WSLA progression and affirming the positive influence of WSLA on academic outcomes. Comparing the pre- and post-tests, students scored significantly higher on the post-test (statistically significant p < 0.001). WSLA promotes both constructivist and interactive learning, as validated by its alignment with the ICAP model. The study examines student engagement through systematic observation, revealing a relationship between student engagement and final grades. Students who exhibit constructive learning consistently earn higher grades, emphasizing the positive impact of active engagement. Thus, passive behavior profiles show a significant proportion of fails (40%), while constructive profiles stand out as the sole recipients of the coveted excellent rating. Ultimately, this study contributes to our understanding of the effectiveness of WSLA in promoting active learning and enhancing student engagement within integrated health education curricula. It highlights the importance of active learning behaviors for academic success and suggests avenues for further research to optimize integrated teaching methodologies in medical education.