Yoxas/statistical_literacy huggingface dataset:
Tenecteplase (TNK) is considered a promising option for the treatment of acute ischemic stroke (AIS) with the potential to decrease door-to-needle times (DTN). This study investigates DTN metrics and trends after transition to tenecteplase. The Lone Star Stroke (LSS) Research Consortium TNK registry incorporated data from three Texas hospitals that transitioned to TNK. Subject data mapped to Get-With-the-Guidelines stroke variables from October 1, 2019 to March 31, 2023 were limited to patients who received either alteplase (ALT) or TNK within the 90 min DTN times. The dataset was stratified into ALT and TNK cohorts with univariate tables for each measured variable and further analyzed using descriptive statistics. Logistic regression models were constructed for both ALT and TNK to investigate trends in DTN times. In the overall cohort, the TNK cohort (n = 151) and ALT cohort (n = 161) exhibited comparable population demographics, differing only in a higher prevalence of White individuals in the TNK cohort. Both cohorts demonstrated similar clinical parameters, including mean NIHSS, blood glucose levels, and systolic blood pressure at admission. In the univariate analysis, no difference was observed in median DTN time within the 90 min time window compared to the ALT cohort [40 min (30-53) vs 45 min (35-55); P = .057]. In multivariable models, DTN times by thrombolytic did not significantly differ when adjusting for NIHSS, age (P = .133), or race and ethnicity (P = .092). Regression models for the overall cohort indicate no significant DTN temporal trends for TNK (P = .84) after transition; nonetheless, when stratified by hospital, a single subgroup demonstrated a significant DTN upward trend (P = 0.002). In the overall cohort, TNK and ALT exhibited comparable temporal trends and at least stable DTN times. This indicates that the shift to TNK did not have an adverse impact on the DTN stroke metrics. This seamless transition is likely attributed to the similarity of inclusion and exclusion criteria, as well as the administration processes for both medications. When stratified by hospital, the three subgroups demonstrated variable DTN time trends which highlight the potential for either fatigue or unpreparedness when switching to TNK. Because our study included a multi-ethnic cohort from multiple large Texas cities, the stable DTN times after transition to TNK is likely applicable to other healthcare systems.
Tenofovir-lamivudine-dolutegravir (TLD) is the preferred first-line antiretroviral therapy (ART) regimen. An additional 50 mg dose of dolutegravir (TLD + 50) is required with rifampin-containing tuberculosis (TB) co-treatment. There are limited data on the effectiveness of TLD + 50 in individuals with TB/HIV. Prospective, observational cohort study at 12 sites in Haiti, Kenya, Malawi, South Africa, Uganda, Zimbabwe. Participants starting TLD and rifampin-containing TB treatment were eligible. Primary outcome was HIV-1 RNA ≤1000 copies/mL at end of TB treatment. We enrolled 91 participants with TB/HIV: 75 (82%) ART-naïve participants starting TLD after a median 15 days on TB treatment, 10 (11%) ART-naïve participants starting TLD and TB treatment, 5 (5%) starting TB treatment after a median 3.3 years on TLD, and 1 (1%) starting TB treatment and TLD after changing from efavirenz/lamivudine/tenofovir. Median age was 37 years, 35% female, median CD4 count 120 cells/mm3 (IQR 50-295), 87% had HIV-1 RNA >1000 copies/mL. Two participants died during TB treatment. Among 89 surviving participants, 80 were followed to TB treatment completion, including 7 who had no HIV-1 RNA result due to missed visits. Primary virologic outcome was assessed in 73 participants, of whom 69 (95%, 95% CI 89-100%) had HIV-1 RNA ≤1000 copies/mL. No dolutegravir resistance mutations were detected among four participants with HIV-1 RNA >1000 copies/mL. In routine programmatic settings, concurrent rifampin-containing TB treatment and TLD + 50 was feasible, well-tolerated, and achieved high rates of viral suppression in a cohort of predominantly ART-naïve people with TB/HIV.
Termites are social insects with high species diversity in tropical ecosystems. Multivariate analysis with near-infrared spectroscopy (NIRS) and data interpretation can separate social insects belonging to different colonies of the same species. The objective of this study was to propose the use of discriminant analysis by partial least squares (PLS-DA) combined with NIRS to identify the colonial origin of the Syntermes grandis (Rambur, 1842) (Blattodea: Termitidae) in 2 castes. Six ground S. grandis colonies were identified and mapped; 30 workers and 30 soldier termites in each colony were submitted to spectral measurement with NIRS. PLS-DA applied to the termites' spectral absorbance was used to detect a spectral pattern per S. grandis colony by caste. PLS-DA regression with NIRS proved to be an approach with 99.9% accuracy for identifying the colonial origin of S. grandis workers and 98.3% for soldiers. The methodology showed the importance of qualitatively characterizing the colonial phenotypic response of this species. NIRS is a high-precision approach to identifying the colony origin of S. grandis workers and soldiers. The PLS-DA can be used to design ecological field studies to identify colony territorial competition and foraging behavior of subterranean termite species.
Terrorist attacks involving children raised concern regarding the preparedness to treat pediatric trauma patients during mass casualty incidents (MCIs). The purpose of this project was to assess the resources available in Milan to respond to MCIs as the 2016 Bastille Day attack in Nice. Literature and guidelines were reviewed and minimal standard requirements of care of pediatric trauma patients in MCIs were identified. The hospitals that took part in the study were asked to answer a survey regarding their resource availability. An overall surge capability of 40-44 pediatric trauma patients was identified, distributed based on age and severity, hospital resources, and expertise. The findings showed that adult and pediatric hospitals should work in synergy with pediatric trauma centers, or offer an alternative if there is none, and should be included in disaster plans for MCIs. Simulations exercises need to be carried out to evaluate and validate the results.
Testicular cancer poses a significant health concern for young adults, particularly university students, who often lack tailored interventions. Drawing on the Health Belief Model and a social support strategy, this study implemented an innovative educational program to empower male university students with knowledge and promote proactive engagement in testicular cancer self-examination practices. A quasi-experimental research design was utilized in this study. The study participants consisted of 350 male individuals aged 18-25, corresponding to the final academic year (fourth year). The educational intervention for the post-test phase group consisted of seven 50 to 60-minute training and education sessions designed to enhance knowledge and promote preventive behaviors related to testicular cancer. Various statistical tests, such as Chi-square tests, independent t-tests, Mann-Whitney tests, and Repeated Measurement ANOVA, were systematically employed to unravel meaningful insights and determine the statistical significance of observed trends. The findings showed significant improvements post-intervention in knowledge, perceived susceptibility, severity, benefits, self-efficacy, cues to action, social support, and testicular self-examination performance. The study underscores the effectiveness of the intervention in promoting preventive behaviours against testicular cancer among university students, laying the groundwork for future educational initiatives. <br />.
Testing based on multiple choice questions (MCQ) is one of the most established forms of assessment, not only in the medical field. Extended matching questions (EMQ) represent a specific type of MCQ designed to require higher levels of cognition, such as problem-solving. The purpose of this evaluation was to assess the suitability and efficiency of EMQ as an assessment method. EMQ were incorporated into the end-of-semester examination in internal medicine, in which 154 students participated, and compared with three established MCQ types. Item and examination quality were investigated, as well as readability and processing time. EMQ were slightly more difficult to score; however, both item discrimination and discrimination index were higher when compared to other item types. EMQ were found to be significantly longer and required more processing time, but readability was improved. Students judged EMQ as clearly challenging, but attributed significantly higher clinical relevance when compared to established MCQ formats. Using the Spearman-Brown prediction, only ten EMQ items would be needed to reproduce the Cronbach's alpha value of 0.75 attained for the overall examination. EMQ proved to be both efficient and suitable when assessing medical students, demonstrating powerful characteristics of reliability. Their expanded use in favor of common MCQ could save examination time without losing out on statistical quality.
Text instance as one category of self-described objects provides valuable information for understanding and describing cluttered scenes. The rich and precise high-level semantics embodied in the text could drastically benefit the understanding of the world around us. While most recent visual phrase grounding approaches focus on general objects, this paper explores extracting designated texts and predicting unambiguous scene text information, i.e., to accurately localize and recognize a specific targeted text instance in a cluttered image from natural language descriptions (referring expressions). To address this issue, first a novel recurrent dense text localization network (DTLN) is proposed to sequentially decode the intermediate convolutional representations of a cluttered scene image into a set of distinct text instance detections. Our approach avoids repeated text detections at multiple scales by recurrently memorizing previous detections, and effectively tackles crowded text instances in close proximity. Second, we propose a context reasoning text retrieval (CRTR) model, which jointly encodes text instances and their context information through a recurrent network, and ranks localized text bounding boxes by a scoring function of context compatibility. Third, a recurrent text recognition module is introduced to extend the applicability of aforementioned DTLN and CRTR models, via text verification or transcription. Quantitative evaluations on standard scene text extraction benchmarks and a newly collected scene text retrieval dataset demonstrate the effectiveness and advantages of our models for the joint scene text localization, retrieval, and recognition task.
Th is study offers empirical insights into investor behavior and its correlation with various behavioral biases in the context of investment decisions in the Pakistan Stock Exchange (PSX). Data was collected through a structured questionnaire from 261 individual investors in Pakistan. The study employs hierarchical regression analysis to test the hypothesis. It considers several behavioral biases, and statistically, anchoring and adjustment, overconfidence, and herding show a significant impact. The study uses financial literacy to examine its moderating effects on these biases, and the result suggests that it significantly influences behavioral biases related to investment decisions. The results underscore the unique investment behaviors in emerging markets, contrasting with established norms in well-developed financial markets. These findings can inform policymakers and stock market authorities about investor decision-making in emerging economies.
Thailand has provided free annual health checkups (AHC) since universal health coverage began in 2002. However, evidence regarding the equitable use of AHC is scarce. Thus, this study explored factors associated with the use of AHC in Thailand. A cross-sectional study was conducted using data from the national 2015 Health and Welfare Survey. Respondents aged 15 years or above (n = 57,343) were selected as the study sample. Descriptive statistical analysis and multivariable binary logistic regression were conducted to examine the association between the use of AHC and factors selected on the basis on Andersen's Behavioral Model of Access to Medical Care. Among the study sample, approximately 4.9% (n = 2,815) had used AHC during the past year. Regarding predisposing factors, the use of AHC was positively related to age (e.g., over 61 vs. 15-30: AOR = 2.90 [95% CI = 2.40-3.52], p < 0.001) and female sex (AOR = 1.23 [95% CI = 1.12-1.35] p < 0.001). For enabling factors, the AHC use was positively associated with income (e.g., Q4 vs. Q1: AOR = 1.98 [95% CI = 1.75-2.25], p < 0.001), education (e.g., high vs. low: AOR = 3.11 [95% CI = 2.75-3.51], p < 0.001), being married (e.g., vs. single: AOR = 1.27 [95% CI = 1.11-1.46], p < 0.001), and urban residency (AOR = 1.12 [95% CI = 1.04-1.22], p = 0.006). For need-for-care factors, the AHC use was positively related to chronic disease (AOR = 1.26 [95% CI = 1.15-1.38], p < 0.001), non-smoking (e.g., vs. daily: AOR = 1.18 [95% CI = 1.03-1.36], p = 0.015), non-drinking (e.g., vs. 3-4 times per week: AOR = 1.26 [95% CI = 1.04-1.53], p = 0.016), and vegetable consumption (e.g., over 5 ladles vs. below 1 ladle: AOR = 1.86 [95% CI = 1.50-2.31], p < 0.001). The results indicate that health awareness could play a significant role in the use of AHC. Individuals with high socioeconomic status (e.g., high-income people) and those with low-risk health behaviors (e.g., non-smokers) generally have a high interest in health and well-being. This may have been the primary reason for the high use of AHC among these groups. Thus, the government should continue to promote the public's health awareness through various public campaigns and education programs to increase the use of AHC.
Thailand recently decriminalized (de facto legalized) cannabis use and sales. However, nationally representative data are scarce with regard to cannabis use behaviors and its association with cannabis outlet density. The objectives of this study are: (1) to describe the prevalence of cannabis use behaviors and cannabis use disorder among the general adult population of Thailand; (2) to describe the extent that the density of cannabis outlets is associated with cannabis use behaviors, cannabis use disorder, and the amount of cannabis smoked per day. We conducted a community-based cross-sectional study in 11 provinces and the Bangkok Metropolitan Area. Participants were residents of sampled communities aged 20 years or older. We requested literate participants to self-administer the questionnaire and interviewed participants who could not read. We analyzed data using descriptive statistics with sampling weight adjustments and multivariate logistic regression analyses. The prevalence of current cannabis use was 15 percent. At a 400-m radius, participants who reported three cannabis outlets had 4.2 times higher odds of being current users than participants who reported no outlet (Adjusted OR = 4.82; 95% CI [3.04-7.63]). We found no association between outlet density and hazardous cannabis use or cannabis use disorder, nor association with the amount of cannabis use among cannabis smokers. The patterns of association between outlet density and cannabis use behaviors were inconsistent. Furthermore, limitations regarding outlet density measurement and lack of temporality should be considered as caveats in the interpretation of the study findings.
Thanks to their different senses, human observers acquire multiple information coming from their environment. Complex cross-modal interactions occur during this perceptual process. This article proposes a framework to analyze and model these interactions through a rigorous and systematic data-driven process. This requires considering the general relationships between the physical events or factors involved in the process, not only in quantitative terms, but also in term of the influence of one factor on another. We use tools from information theory and probabilistic reasoning to derive relationships between the random variables of interest, where the central notion is that of conditional independence. Using mutual information analysis to guide the model elicitation process, a probabilistic causal model encoded as a Bayesian network is obtained. We exemplify the method by using data collected in an audio-visual localization task for human subjects, and we show that it yields a well-motivated model with good predictive ability. The model elicitation process offers new prospects for the investigation of the cognitive mechanisms of multisensory perception.
The .05 boundary within Null Hypothesis Statistical Testing (NHST) "has made a lot of people very angry and been widely regarded as a bad move" (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What is the psychological standing of the .05 boundary for statistical significance? We find that graduate students in the psychological sciences show a boundary effect when relating p-values across .05. We propose this psychological boundary is learned through statistical training in NHST and reading a scientific literature replete with "statistical significance". Consistent with this proposal, undergraduates do not show the same sensitivity to the .05 boundary. Additionally, the size of a graduate student's boundary effect is not associated with their explicit endorsement of questionable research practices. These findings suggest that training creates distortions in initial processing of p-values, but these might be dampened through scientific processes operating over longer timescales.
The 'Tausi Feagaiga (Covenant Keeper) project was a partnership to support the traditional values of tausi matua (caring for one's elders). The partners included a non-governmental organization (Pacific Youth and Community Development), a faith-based organization (Roman Catholic Diocese of Samoa-Pago Pago), and an institute of higher education (University of Hawai'i John A. Burns School of Medicine). The project was created to address the lack of community-based health care such as home health or hospice, and families needing to work outside the home. A culturally based caregiving curriculum was developed to educate caregivers and improve their knowledge and skills. Using a train-the-trainer model, 125 caregivers were trained in family caregiving from 2016-2020. Training was conducted through an intensive workshop followed by practicum at Hope House, the Catholic Diocese home for the aged. Participants who expressed a willingness and competency were mentored to be trainers to continue the 'Tausi Feagaiga project. The mean self-rated confidence in caregiving improved significantly from 3.17 ± 1.02 (mean SD) pre workshop to 3.53 ± 0.71 post workshop (P = .001). Competence in geriatric syndromes was improved from 18.04 ± 4.27 to 21.31 ± 4.30 after attending the workshop (P < .001) and the feedback was extremely positive. Technical assistance was provided to obtain funding through American Samoa Medicaid State Agency to improve the existing infrastructure of Hope House, obtain much needed supplies, and increase ability to hire the participants. 'Tausi Feagaiga positively impacted the lives of the residents of Hope House, the course participants, the elders in the community, and those who care for them.
The 1 + X certificate system, introduced in China in 2019, integrates academic credentials with vocational skill certificates to meet the heightened demand for skilled talents in the growing economy. This study aims to innovate and evaluate the vocational pharmaceutical education system under the 1 + X certificate framework, specifically addressing the gap between theoretical education and workplace requirements. A retrospective observational approach analyzed 490 pharmacy students over two academic years. The 2021 cohort underwent 1 + X integrated education, while the 2020 cohort followed conventional education. We collaborated closely with industry partners to identify and compile typical job competencies, formulating work projects aligned with industry demands. Combining the skill level standards and assessment content of "1+X Pharmaceutical Purchasing and Sales" and "1+X Pharmaceutical Preparation", we revised the course standards, incorporating typical work projects into the 2021 pharmacy professional teaching curriculum. This constituted the fundamental content of the 1 + X education reform. Statistical analysis compared course scores and 1 + X certificate examination performance. The 2021 cohort, under the 1 + X educational model, demonstrated higher average scores in pharmacy courses, with significant improvements in pharmacology (1 + X vs. Traditional education: 58.40 ± 14.20 vs. 53.44 ± 14.67), clinical pharmacotherapy (72.74 ± 10.28 vs. 63.15 ± 11.03), and pharmaceutical distribution and marketing (79.34 ± 10.96 vs. 67.50 ± 15.82). 1 + X certificate pass rates and satisfaction with the model were also higher than the 2020 cohort. The 1 + X certificate system is useful for developing talent in Chinese vocational education, effectively integrating assessments with industry standards. Future research should aim at evaluating long-term outcomes and improving quantitative skills assessments for enhanced effectiveness.
The 1st European Workshop on Periodontal Education in 2009 made recommendations regarding the scope of periodontal education at undergraduate (UG), postgraduate (PG) and continuing professional development (CPD) levels, defining competencies and learning outcomes that were instrumental at the time in helping to define periodontal teaching curricula. The 19th European Workshop on Periodontology and 2nd European Consensus Workshop on Education in Periodontology (Education in Periodontology in Europe) was held in 2023 to identify changes and future developments in periodontal education (including those informed by the COVID-19 pandemic) and embracing methods and formats of periodontal teaching and training. The aim of this review was to assess current knowledge regarding education methods in periodontology, including traditional face-to-face (F2F) teaching and the move to student-centred methods, virtual learning methods and use of digital technology, as well as blended teaching and learning (including teaching delivery and assessment) at UG, PG and CPD levels. Systematic searches were conducted to identify relevant studies from the literature. Data were extracted and descriptive summaries collated. The pandemic was a major disruptor of traditional F2F teaching but provided opportunities for rapid implementation of alternative and supplementary teaching methods. Although online learning has become an integral part of periodontal education, teachers and learners alike favour some form of F2F teaching. Blended teaching and learning are feasible in many areas of periodontal education, both for knowledge and skills acquisition as well as in assessment. Student-centred methods and blended approaches such as the flipped classroom seem highly effective, and online/virtual classrooms with both synchronous and asynchronous lectures are highly valued. Learning with haptic methods and virtual reality (VR) enhances the educational experience, especially when VR is integrated with traditional methods. The quality of the teacher continues to be decisive for the best knowledge transfer in all its forms. Live F2F teaching continues to be highly trusted; however, all types of student-centred and interactive forms of knowledge transfer are embraced as enhancements. While digital methods offer innovation in education, blended approaches integrating both virtual and traditional methods appear optimal to maximize the achievement of learning outcomes. All areas of periodontal education (UG, PG and CPD) can benefit from such approaches; however, more research is needed to evaluate their benefits, both for knowledge transfer and skills development, as well as in assessment.