Yoxas/statistical_literacy huggingface dataset:
The mosquito-borne dengue virus remains a major public health concern in Malaysia. Despite various control efforts and measures introduced by the Malaysian Government to combat dengue, the increasing trend of dengue cases persists and shows no sign of decreasing. Currently, early detection and vector control are the main methods employed to curb dengue outbreaks. In this study, a coupled model consisting of the statistical ARIMAX model and the deterministic SI-SIR model was developed and validated using the weekly reported dengue data from year 2014 to 2019 for Selangor, Malaysia. Previous studies have shown that climate variables, especially temperature, humidity, and precipitation, were able to influence dengue incidence and transmission dynamics through their effect on the vector. In this coupled model, climate is linked to dengue disease through mosquito biting rate, allowing real-time forecast of dengue cases using climate variables, namely temperature, rainfall and humidity. For the period chosen for model validation, the coupled model can forecast 1-2 weeks in advance with an average error of less than 6%, three weeks in advance with an average error of 7.06% and four weeks in advance with an average error of 8.01%. Further model simulation analysis suggests that the coupled model generally provides better forecast than the stand-alone ARIMAX model, especially at the onset of the outbreak. Moreover, the coupled model is more robust in the sense that it can be further adapted for investigating the effectiveness of various dengue mitigation measures subject to the changing climate.
The most effective way to stem the spread of a pandemic such as coronavirus disease 2019 (COVID-19) is social distancing, but the introduction of such measures is hampered by the fact that a sizeable part of the population fails to see their need. Three studies conducted during the mass spreading of the virus in the United States toward the end of March 2020 show that this results partially from people's misperception of the virus's exponential growth in linear terms and that overcoming this bias increases support for social distancing. Study 1 shows that American participants mistakenly perceive the virus's exponential growth in linear terms (conservatives more so than liberals). Studies 2 and 3 show that instructing people to avoid the exponential growth bias significantly increases perceptions of the virus's growth and thereby increases support for social distancing. Together, these results show the importance of statistical literacy to recruit support for fighting pandemics such as the coronavirus.
The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelligence and machine learning. The study examines challenges related to estimating density functions from random variables. Based on minimal predictions regarding densities, the study discusses a framework for evaluating probability density functions. During the Bayesian approach, which is to generate correct samplings that reflect the probability aspect of the variables, sampling is widely used to estimate as well as define the probabilistic model of unknown variables. Because of its effectiveness and extensive application, the generalized likelihood uncertainty estimation (GLUE) method has earned the most popularity among the various methodologies. The Bayesian technique allows parameters of the model to be estimated using prior expertise in the parameter results and experimental observations. The study uses a number of engineering issues that were lately looked into to illustrate the effectiveness of the upgraded GLUE. As the focus is on the examination of sampling effectiveness in view of engineering components, only a brief summary is provided to describe every challenge. The suggested GLUE method's outcomes are contrasted with those obtained using MCMC. Nevertheless, using the GLUE approach, the model's mean squared error of prediction is substantially higher than that of the previous algorithms. The methods' results are affected by the assumptions being made on parameter values in advance. The concepts of prediction accuracy, as well as the utility of geometric testing, are presented. Such notions are valuable in demonstrating that the GLUE approach defines an inconsistent and incoherent statistical inference process.
The mother-to-child transmission of HIV-1 (MTCT) remains on the major route of HIV-transmission among pediatric populations in Africa. Though a prevention of MTCT (PMTCT) high-priority country, data on the MTCT burdens in Cameroon remains fragmented. We sought to assess the pooled MTCT rate, its risk-factors, and to characterize viral reservoirs of infected-children in Cameroon. All relevant observational cohort and cross-sectional studies conducted in Cameroon were searched from PubMed, African Journals Online, Google scholar, ScienceDirect and academic medical education databases. Heterogeneity and publication bias were respectively assessed by the I2 statistic and the Egger/funnel plot test. Meta-analysis was performed using the random effects model. MTCT rate >5% was considered as "high". This review was registered in the Prospero database, CRD42021224497. We included a total of 29 studies and analyzed 46 684 children born from HIV-positive mothers. The overall rate of MTCT was 7.00% (95% CI = 6.07-8.51). According to regions, the highest burden was in Adamaoua-region (17.51% [95% CI:14.21-21.07]) with only one study found. PMTCT option-B+ resulted in about 25% reduction of MTCT (8.97% [95% CI: 8.71-9.24] without option-B+ versus 2.88% [95% CI: 5.03-9.34] with option-B+). Regarding risk-factors, MTCT was significantly associated with the absence of PMTCT-interventions both in children (OR:5.40 [95% CI: 2.58-11.27]) and mothers (OR: 3.59 [95% CI: 2.15-5.99]). Regarding viral reservoirs, a pro-viral DNA mean of 3.34±1.05 log10/mL was observed among 5/57 children and archived HIV drug resistance mutations were identified in pro-viral DNA marker among 21/79 infected-children. In spite of the dropdown in MTCT following option-B+ implementation, MTCT remains high in Cameroon, with substantial disparities across regions. Thus, in this era of option-B+, achieving MTCT elimination requires interventions in northern-Cameroon. The variation in pro-viral load in infected-children underlines the relevance of characterizing viral reservoirs for possible infection control in tropical settings.
The motivation of this paper is to solve the problem of tourism majors' lack of theoretical knowledge and professional ability by building a capacity training mechanism model based on grounded theory. The goal of the study is to optimize the ability training strategies of tourism undergraduates and improve their professional quality and competitiveness. The paper adopts the ability training model based on grounded theory, and combines with Back Propagation (BP) neural network for optimization and evaluation. By comparing the performance of different ability training mechanisms, this paper explores the best training strategies to provide support and guidance for the training of tourism undergraduates. Firstly, the employment background of the current market is studied and analyzed. By sorting out the relevant documents of grounded theory and combining with the current training strategies of tourism majors, the students' personality characteristics and the basic principles of establishing models are integrated. The Back Propagation (BP) neural network is combined with the grounded theory. The data input of the student ability model is re-optimized. The undergraduate competency training mechanism model is constructed. The results show that when the number of iterations of the network model is 500.00, the evaluation accuracy of the competency training model based on BP neural network can reach 70.00%. At this time, the evaluation accuracy of competency training model based on content analysis method is only 55.00%. In addition, the results show that with the increase of model iterations, the recognition accuracy of the ability model based on grounded theory and the ability training mechanism of content analysis method is continuously improved. However, the ability evaluation model based on grounded theory has higher accuracy, and the accuracy of ability evaluation even exceeds 78.52% when the number of iterations of the network model is 600. Secondly, through the statistics and comparison of the grading results of students of different majors, it is found that the ability training mechanism based on grounded theory can improve the overall ability level of students more significantly. The research has important reference value for promoting the optimization and perfection of students' training strategies.
The narrative skills of children with cochlear implants (CIs) are fragile, but the factors at play and whether these difficulties could be similar to those detected in language impairment are not clear. The present study aims to assess, at the microstructural level, narrative skills, comparing children with CIs with children with Developmental Language Disorder (DLD) or Typical Development (TD). Furthermore, the relationship between verbal (lexical and morphosyntactic) comprehension and narrative skills across groups is investigated. The narratives of 19 children with CIs (Mage = 62.42 months, SD = 6.83), 13 children with DLD (Mage = 65.38 months, SD = 4.27), and 18 preschool children with TD (Mage = 63.67 months, SD = 4.31) were assessed in a standardized task. Articles, prepositions, pronouns, gender and number agreement, accuracy in the use of verbs, and number of arguments in each sentence were analysed. Lexical and morphosyntactic comprehension were also assessed. Performance was compared across groups using ANOVAs or Kruskal-Wallis tests. The role of lexical and morphosyntactic comprehension in predicting each morphological and syntactic element in the narrative task was examined using linear regressions. Data analysis showed that both children with CIs and DLD had fragilities in narration, both in the morphological and syntactic components. Although some differences between children with CIs and those with DLD emerged in descriptive analyses, these were not statistically significant. Regressions showed that morphosyntactic comprehension predicted the number of pronouns produced only in the TD group. The scarce differences between CI and DLD groups and the absence of an effect of morphosyntactic comprehension on pronoun production may be due to their low production of these elements in the narrative task and/or to a difficulty in managing pronouns in an expressive task regardless of their ability to comprehend them. Potential implications of these results are discussed.
The nation faces a continued shortage of nurses that is projected to worsen in the next decade. The nursing shortage is fueled by a lack of faculty to educate nurses for entry into practice and advanced nursing practice positions. Many faculty enter academia after achieving expertise in a specialty area of clinical practice. These expert clinicians transition to novice faculty, a move that can be challenging and overwhelming. New faculty require guidance in understanding the various academic regulatory organizations; university structure, policies, and regulations; faculty responsibilities related to the university missions of teaching, service, practice, and scholarship; and face challenges with the need for new skills such as classroom management, curriculum development, and an understanding of the different culture and language of academia. The authors provide evidence from the literature and strategies and tips based on their experience for an expert clinician's successful transition from a clinical role to an academic position.
The National College of Cancerology Teachers (CNEC) was created in September 1986. Its missions are to develop the teaching of oncology, to promote educational actions in the discipline, to participate in the development of teaching content and the definition of curricula and the control of knowledge for the training of medical students and specialists, to develop and validate educational documents relating to the above teaching, to ensure the representation of oncology teaching to of the National University Council (CNU) and administrative authorities, to ensure and coordinate relations with other university disciplines, scientific societies, national, European, and international professional groups, and to contribute to the development of research in the discipline. The current office was elected in September 2022 for three years.
The National Competence-Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM) serves as the foundation for curricular development in undergraduate medical education in Germany. A new version of the NKLM was launched in 2021, and medical faculties are now evaluating the learning objectives (LOs). This paper describes the evaluation process used at Hannover Medical School. The evaluation process was structured in three steps. LOs were rated as "keep", "modify" or "delete". First, the 1133 LOs were compared with the mapping of the Hannover curriculum from 2017. Then, a small team from the Curricular Development Department conducted a pre-evaluation of the 1133 LOs. Finally, a group of clinical experts and students discussed and agreed on the ratings. For 868 LOs, one or more counterparts were found in the mapping, but 265 new LOs were not found and thus, classified as new. In the first rating, 779 LOs were kept, 300 were modified (172 due to wording), 45 were deleted, and there was no rating for 9 LOs. The expert group changed 47 of the pre-evaluation decisions. The final rating was to keep 738 LOs, modify 356, and delete 39 LOs. This method effectively evaluated the LOs from NKLM 2.0 while balancing expert knowledge and an overview of the curriculum.
The National Competence-Based Catalogue of Learning Objectives in Dentistry (NKLZ) was adopted in 2015 and defines the learning objectives for dental training in Germany. It specifies which competences students should acquire and serves as a basis for the curricular design of the study programme, examinations and teaching materials. The NKLZ promotes a comprehensive education that includes clinical skills and abilities, professional behaviour and communication skills in addition to specialist knowledge. It contributes to the preparation of future dentists for their profession and standardizes training to ensure quality and comparability.This article describes the background, history, structure and further development of the NKLZ. Currently, the NKLZ is being further developed to version 2.0 in a multi-stage process. Its structure is based on the NKLM 2.0, the National Competence-Based Learning Objectives Catalogue for Medicine. The aim is to comprehensively map the requirements for the dental licensing regulations.An important prerequisite for the official recognition of the NKLZ as a basic guideline for the training of dentists is that it be anchored in a dental licensing regulation that is to be reformed soon. This creates clarity and liability for teachers and students. Such an anchoring also enables better coordination between training objectives and the requirements of professional practice. Since the licensing regulations are modified less frequently, the integration of the NKLZ offers the possibility of updating and adapting the catalogue of learning objectives in a structured and regulated manner. This ensures that training is in line with current standards and developments.
The National Health Service (NHS) England website provides guidance on foods/drinks to avoid or limit during pregnancy because of microbiological, toxicological or teratogenic hazards. The aims were to determine adherence and whether demographic characteristics were associated with adherence. Cross-sectional study. Online survey of postpartum women resident in England during pregnancy. Recently, postpartum women resident in England during their pregnancy (n 598; median age 33 (IQR 30-36) years) completed an online questionnaire (April-November 2022). Questions included those on consumption of twenty-one food/drink items that the NHS advises pregnant women to avoid/limit. The study is part of the Pregnancy, the Environment And nutRition (PEAR) Study. Summary statistics were used to determine proportions adhering to the guidance. Adjusted logistic regression was used to model the associations of adherence with demographic characteristics. Adherence was generally high (>90 % for eight of ten food/drink items to be avoided). However, among pre-pregnancy consumers, several items were not completely avoided, for example, 81 % (128/158) for game meat/gamebirds, 37 % (176/478) for cured meats and 17 % (81/467) for soft cheeses. Greater educational attainment (e.g. caffeinated soft drinks OR 2·25 (95 % CI 1·28, 3·94)), greater maternal age (e.g. oily fish 1·64 (1·05, 2·56)) and lower parity (e.g. caffeinated coffee 0.28 (0.11, 0.69)) were the most usual characteristics associated with adherence. Evidence of concerning levels of non-adherence for some food/drink items suggests a case for more education on some of the guidance, particularly for women with lower educational attainment, greater parity and greater maternal age. Further research on barriers to the implementation of the guidance is needed.
The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Diabetic Foot Consortium (DFC) was established in September 2018 by the NIDDK to build an organization to facilitate the highest quality of clinical research on diabetic foot ulcers (DFUs) that will answer clinically significant questions to improve DFU healing and prevent amputations. The initial focus of the DFC is to develop and validate biomarkers for DFUs that can be used in clinical care and research. The DFC consists of a data coordinating center (DCC) for operational oversight and statistical analysis, clinical sites for participant recruitment and evaluation, and biomarker analysis units (BAUs). The DFC is currently studying biomarkers to predict wound healing and recurrence and is collecting biosamples for future studies through a biorepository. The DFC plans to address the challenges of recruitment and eligibility criteria for DFU clinical trials by taking an approach of "No DFU Patient Goes Unstudied." In this platform approach, clinical history, DFU outcome, wound imaging, and biologic measurements from a large number of patients will be captured and the in-depth longitudinal data set will be analyzed to develop a computational-based DFU risk factor profile to facilitate scientifically sound clinical trial design. The DFC will expand its platform to include studies of the role of social determinants of health, such as food insecurity, housing instability, limited health literacy, and poor social support. The DFC is starting partnerships with the broad group of stakeholders in the wound care community.
The National Institutes of Health (NIH) and the American Medical Association (AMA) recommend a sixth-grade reading level for patient-directed content. This study aims to quantitatively evaluate the readability of online information sources related to carpal tunnel surgery using established readability indices. Web searches for "carpal tunnel release" and "carpal tunnel decompression surgery" queries were performed using Google, and the first 20 websites were identified per query. WebFX online software tools were utilized to determine readability. Indices included Flesch Kincaid Reading Ease, Flesch Kincaid Grade Level, Coleman Liau Index, Automated Readability Index, Gunning Fog Score, and the Simple Measure of Gobbledygook Index. Health-specific clickthrough rate (CTR) data were used in order to select the first 20 search engine results page from each query. "Carpal tunnel release" had a mean readability of 8.46, and "carpal tunnel decompression surgery" had a mean readability of 8.70. The range of mean readability scores among the indices used for both search queries was 6.17 to 14.0. The total mean readability for carpal tunnel surgery information was found to be 8.58. This corresponds to approximately a ninth-grade reading level in the United States. The average readability of carpal tunnel surgery online content is three grade levels above the recommended sixth-grade level for patient-directed materials. This discrepancy indicates that existing online materials related to carpal tunnel surgery are more difficult to understand than the standards set by NIH and AMA.
The National Institutes of Health and related federal awards for research training (RT) and research career development (RCD) are designed to prepare applicants for research careers. We compared funding rates for RT and RCD for anesthesiology, dermatology, emergency medicine, family medicine, internal medicine, neurology, obstetrics-gynecology, pathology, pediatrics, and psychiatry. We estimated the denominator using the number of residency graduates from different specialties from 2001 to 2010 from the Association of American Medical Colleges data. For the numerator, we used published data on federally funded awards by specialty from 2011 to 2020. We also examined the correlation between RCD funding and overall research funding. Family medicine had the lowest rate per graduating resident for RT (0.01%) and RCD (0.77%) awards among 10 specialties and was lower than the mean/median for the other nine specialties, ranging from 2.15%/1.19% and 9.83%/8.74%. We found a strong correlation between rates of RCD awards and mean federal funding per active physician, which was statistically significant (ρ=0.77, P=.0098). Comparatively low rates for family medicine awards for RT and RCD plausibly contribute to poor federal funding for family medicine research, underscoring the need to bolster the research career pathway in family medicine.
The National School Health Program in Portugal advocates for healthy lifestyles. However, school health teams mostly focus their activities on educating children, whereas it is the families who are primarily responsible for managing children's lifestyles. Although the programme proposes interactive health education activities, such as meetings with the children's families, few parents participate in these activities. The project Gostar de Mim was created to bridge this gap by promoting healthy family lifestyles in school settings. The project used an evaluating instrument called the 'Parents' Booklet' packed with information. This study assessed the usefulness of the booklet in providing health information and planning family engagement. Based on the PRECEDE-PROCEED framework (PRECEDE: Predisposing, Reinforcing, and Enabling Constructs in Educational/Environmental Diagnosis and Evaluation; PROCEED: Policy, Regulatory, and Organizational Constructs in Educational and Environmental Development), this article focuses on the social and epidemiological assessment phases. We examined the health surveillance status of children aged 6-10 years (epidemiological phase) and description of health behaviours in different lifestyle dimensions (behavioural and environmental phase). The Parents' Booklet was used to identify parents' perspectives on their children's lifestyles. Data analysis of 568 Parents' Booklet (23 schools) use cases showed that the lifestyle priorities, in order, were 'sleep and rest' (95.6 %), 'energy balance' (100 %), 'oral/body healthcare' (95.6 %), 'alcohol, tobacco/other drugs' (73.9 %), 'consumerism' (91.3 %), 'leisure-time occupation' (91.3 %), and 'literacy and satisfaction at school' (86.9 %). Clearly, the Parents' Booklet was useful, as it made it possible to obtain information that allowed for participatory school health diagnosis and can guide community nursing actions that need to be developed in schools. Crucially, this tool can be useful for parents, enabling them to be more aware of their children's lifestyle via self-monitoring as well as increasing their participation in health education.