Yoxas/statistical_literacy huggingface dataset:
Functional Gastrointestinal Disorders (FGIDs) and their risk factors vary from region to region. Therefore, this study aimed to determine the prevalence of abdominal pain of FGIDs in different dietary diversity score (DDS) and its determinant factors among adults in Jimma City, Southwest Ethiopia. A community-based cross-sectional study was conducted from July 17 to October 27, 2019. The study included systematically selected healthy adults aged ≥ 18years. Data were collected on gastrointestinal symptoms (Rome III), and DDS (24-dietary recall). Of 865 healthy adults, the prevalence of abdominal pain symptoms co-occurrence was 168(19.4%), dyspepsia, 152(17.6%) and IBS, 133(15.4). Similarly, the co-occurrence was distributed as 81(9.4%) in middle, 64(7.4%) in high and 23(2.6%) in low DDS groups. Although this distribution was different in the DDS groups, it is not significantly associated. With potential confounders adjusted, the behavioral factors associated with the co-occurrence with an AOR (95% CI) were khat chewing: 7.37 (1.76 - 30.87), drinking alcohol: 3.24 (1.15 - 9.18), sedentary life: 12.28 (3.19 - 48.40) and less physical activity: 4.44 (1.43-13.75). Moreover, elevated TAG: 5.44 (2.78 - 8.10), elevated LDL: 4.26 (1.61-11.29), central obesity: 2.78 (1.08 -7), low HDL 5.89 (2.22-15.60), positive H.pylori stool test: 2.7 (1.86 -7.72), being diabetic: 2.7 (1.79 -7.79) and hypertensive: 2.79 (1.08 - 7.14) were associated with the co-occurrence. Abdominal pain and FGIDs had significant distribution among adults in Jimma City. Therefore, early screening and managing FGIDs in the community is recommendable.
Functional magnetic resonance imaging (fMRI) of hemodynamic changes captured in the blood oxygen level-dependent (BOLD) response contains information of brain activity. The BOLD response is the result of a complex neurovascular coupling and comes in at least two fundamentally different forms: a positive and a negative deflection. Because of the complexity of the signaling, mathematical modelling can provide vital help in the data analysis. For the positive BOLD response, there are plenty of mathematical models, both physiological and phenomenological. However, for the negative BOLD response, no physiologically based model exists. Here, we expand our previously developed physiological model with the most prominent mechanistic hypothesis for the negative BOLD response: the neural inhibition hypothesis. The model was trained and tested on experimental data containing both negative and positive BOLD responses from two studies: 1) a visual-motor task and 2) a working-memory task in conjunction with administration of the tranquilizer diazepam. Our model was able to predict independent validation data not used for training and provides a mechanistic underpinning for previously observed effects of diazepam. The new model moves our understanding of the negative BOLD response from qualitative reasoning to a quantitative systems-biology level, which can be useful both in basic research and in clinical use.
Functional surgery (FS) is often used to correct congenital or acquired deformities in neurological patients. Along with functional results, short- and medium-term patient satisfaction should always be considered a key goal of surgery and rehabilitation. The aim of this study is to assess the short to medium-term satisfaction of patients who underwent FS and its correlation with perceived improvements. Invitation to an anonymous online survey was sent via e-mail to all neurological adult patients or caregivers of children who underwent lower or upper limb FS over the 2018 - 2020 period. The survey investigated patients' satisfaction with the surgery and the variation in pain, ADLs, level of independence, body image, self-esteem, social interaction skills, participation in social events, leisure activities and sports, and use of orthoses or walking aids. Descriptive data analysis was performed. Correlations were assessed using Kendall's tau. 122 out of 324 adults and 53 out of 163 children's caregivers filled out the questionnaire, with a response rate approaching 40%. Eighty-three percent of adult respondents and 87% of the children's caregivers were satisfied or very satisfied in the short and medium terms and reported their expectations had been met. Satisfaction was significantly correlated (p < 0.01) with improvements in functional abilities, social participation, self-esteem, and pain reduction. Half of the adults and 40% of children stopped using their orthoses or replaced them with lighter ones. Dissatisfaction and worsened conditions were reported by <10% of the respondents. According to patients and caregivers, FS was satisfactory in the short and medium terms, following improvements in all the ICF domains for most patients.
Functional tests are a fundamental axis in assessing the risk of falls in older adults. However, many of them lack associative value with the actual functional status of the older adults, medical history, and comorbidities. Analytical study with cross-sectional design. Three functional tests were performed (Timed Up & Go, Five Times Sit to Stand Test, and Unipodal Station Test) in 148 independent older adults (mean = 74.8 SD = 7.2), 83 non-fallers, and 58 with self-reported accidental falls in the last year. Other factors, such as grip strength and abdominal circumference, were considered. The functional tests presented associative value in older adults with a history of falls (p < 0.05). The grip strength has a statistically significant correlation between both groups. Functional tests can discriminate the risk of falls in independent older adults and those with similar comorbidities. The three functional tests applied show associative values in falling older adults. The grip strength presented associative value with the functional tests.
Fundamental data analysis assists in the evaluation of critical questions to discern essential facts and elicit formerly invisible evidence. In this article, we provide clarity into a subtle phenomenon observed in cancer incidences throughout the time of the COVID-19 pandemic. We analyzed the cancer incidence data from the American Cancer Society [1]. We partitioned the data into three groups: the pre-COVID-19 years (2017, 2018), during the COVID-19 years (2019, 2020, 2021), and the post-COVID-19 years (2022, 2023). In a novel manner, we applied principal components analysis (PCA), computed the angles between the cancer incidence vectors, and then added lognormal probability concepts in our analysis. Our analytic results revealed that the cancer incidences shifted within each era (pre, during, and post), with a meaningful change in the cancer incidences occurring in 2020, the peak of the COVID-19 era. We defined, computed, and interpreted the exceedance probability for a cancer type to have 1000 incidences in a future year among the breast, cervical, colorectal, uterine corpus, leukemia, lung & bronchus, melanoma, Hodgkin's lymphoma, prostate, and urinary cancers. We also defined, estimated, and illustrated indices for other cancer diagnoses from the vantage point of breast cancer in pre, during, and post-COVID-19 eras. The angle vectors post the COVID-19 were 72% less than pre-pandemic and 28% less than during the pandemic. The movement of cancer vectors was dynamic between these eras, and movement greatly differed by type of cancer. A trend chart of cervical cancer showed statistical anomalies in the years 2019 and 2021. Based on our findings, a few future research directions are pointed out.
Fundamental principles of precaution are legal maxims that ask for preventive actions, perhaps as contingent interim measures while relevant information about causality and harm remains unavailable, to minimize the societal impact of potentially severe or irreversible outcomes. Such principles do not explain how to make choices or how to identify what is protective when incomplete and inconsistent scientific evidence of causation characterizes the potential hazards. Rather, they entrust lower jurisdictions, such as agencies or authorities, to make current decisions while recognizing that future information can contradict the scientific basis that supported the initial decision. After reviewing and synthesizing national and international legal aspects of precautionary principles, this paper addresses the key question: How can society manage potentially severe, irreversible or serious environmental outcomes when variability, uncertainty, and limited causal knowledge characterize their decision-making? A decision-analytic solution is outlined that focuses on risky decisions and accounts for prior states of information and scientific beliefs that can be updated as subsequent information becomes available. As a practical and established approach to causal reasoning and decision-making under risk, inherent to precautionary decision-making, these (Bayesian) methods help decision-makers and stakeholders because they formally account for probabilistic outcomes, new information, and are consistent and replicable. Rational choice of an action from among various alternatives--defined as a choice that makes preferred consequences more likely--requires accounting for costs, benefits and the change in risks associated with each candidate action. Decisions under any form of the precautionary principle reviewed must account for the contingent nature of scientific information, creating a link to the decision-analytic principle of expected value of information (VOI), to show the relevance of new information, relative to the initial (and smaller) set of data on which the decision was based. We exemplify this seemingly simple situation using risk management of BSE. As an integral aspect of causal analysis under risk, the methods developed in this paper permit the addition of non-linear, hormetic dose-response models to the current set of regulatory defaults such as the linear, non-threshold models. This increase in the number of defaults is an important improvement because most of the variants of the precautionary principle require cost-benefit balancing. Specifically, increasing the set of causal defaults accounts for beneficial effects at very low doses. We also show and conclude that quantitative risk assessment dominates qualitative risk assessment, supporting the extension of the set of default causal models.
Fundamentals of endoscopic surgery (FES) completion is mandatory for certification by the American Board of Surgery (ABS). As early simulation and competency assessment can bolster development of trainee proficiency, we sought to determine the optimal timing for FES examination by evaluating pass rates based on training level and previous endoscopic experience. PGY2-5 residents at a university-based medical center who were novice to FES were assigned to complete FES training and testing. Training year, prior endoscopic experience, and FES exam scores were recorded with pre- and post-test surveys. Most residents in the program (88%) were able to complete FES training and testing within a single academic year. Most required only a single faculty-led session (88%) to feel confident to take the exam, augmented by varying numbers of independent practice sessions (50% 1-2, 19% 3-5, 27% > 5). After training, most (84%) felt confident that they would pass the exam, and 93% did so on their first attempt. While higher written exam scores were noted in the PGY5 group, there were no other statistically significant differences in overall pass rates or technical exam scores based on PGY level (p = 0.24). A number of previously completed endoscopic cases did not correlate with exam scores (p = 0.24 written, p = 0.91 technical). Fundamentals of endoscopic surgery (FES) certification can be successfully completed by junior level general surgery residents regardless of previous endoscopic experience. Moving this exam to earlier training years can benefit resident development and preparedness in the clinical setting without negatively impacting pass rates.
Fuzzy utility (FU) pattern mining with an advantage in human reasoning has become one of the interesting topics in studies of knowledge discovery. The discovered information in FU pattern mining from real-life quantitative databases with item profits is suitable for interpreting data from a human perspective because it is not expressed using numerical values but linguistic terms which consist of natural languages. State-of-the-art approaches in this literature provide extended results by considering temporal factors, such as seasons, which can be influential in real-life situations. However, they still suffer from scalability issues because they are based on level-wise approaches which generate a number of candidates. In this article, we propose a scalable and efficient approach with a novel data structure for mining high temporal FU patterns without generating candidates. Efficient pruning techniques and algorithms are presented to improve the performance of the proposed approach. Performance experiments on both real and synthetic datasets show that the suggested algorithm has better performance than the state-of-the-art algorithms in terms of runtime, memory usage, and scalability.
Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is challenging as benign gallbladder lesions can have similar imaging features. We aim to develop and validate a deep learning (DL) model for the automatic detection of GBC at abdominal ultrasound (US) and compare its diagnostic performance with that of radiologists. In this prospective study, a multiscale, second-order pooling-based DL classifier model was trained (training and validation cohorts) using the US data of patients with gallbladder lesions acquired between August 2019 and June 2021 at the Postgraduate Institute of Medical Education and research, a tertiary care hospital in North India. The performance of the DL model to detect GBC was evaluated in a temporally independent test cohort (July 2021-September 2022) and was compared with that of two radiologists. The study included 233 patients in the training set (mean age, 48 ± (2SD) 23 years; 142 women), 59 patients in the validation set (mean age, 51.4 ± 19.2 years; 38 women), and 273 patients in the test set (mean age, 50.4 ± 22.1 years; 177 women). In the test set, the DL model had sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of 92.3% (95% CI, 88.1-95.6), 74.4% (95% CI, 65.3-79.9), and 0.887 (95% CI, 0.844-0.930), respectively for detecting GBC which was comparable to both the radiologists. The DL-based approach showed high sensitivity (89.8-93%) and AUC (0.810-0.890) for detecting GBC in the presence of stones, contracted gallbladders, lesion size <10 mm, and neck lesions, which was comparable to both the radiologists (p = 0.052-0.738 for sensitivity and p = 0.061-0.745 for AUC). The sensitivity for DL-based detection of mural thickening type of GBC was significantly greater than one of the radiologists (87.8% vs. 72.8%, p = 0.012), despite a reduced specificity. The DL-based approach demonstrated diagnostic performance comparable to experienced radiologists in detecting GBC using US. However, multicentre studies are warranted to explore the potential of DL-based diagnosis of GBC fully. None.
Gambling abstinence when underage lowers the risk of harmful gambling in later life. However, little research has examined why many young people refrain from gambling, even though this knowledge can inform protective strategies and lower risk factors to reduce underage gambling and subsequent harm. This study draws on the lived experience of adolescent non-gamblers to explore how social determinants while growing up have shaped their reasons and choices to not gamble. Fourteen Australian non-gamblers, aged 12-17 years, participated in an in-depth individual interview (4 girls, 3 boys) or online community (4 girls, 3 boys). Questions in each condition differed, but both explored participants' gambling-related experiences while growing up, including exposure, attitudes and behaviours of parents and peers, advertising, simulated gambling and motivations for not gambling. The analysis used adaptive grounded theory methods. The grounded theory model identifies several reasons for not gambling, including not being interested, being below the legal gambling age, discouragement from parent and peers, concern about gambling addiction and harm, not wanting to risk money on a low chance of winning, and moral objections. These reasons were underpinned by several social determinants, including individual, parental, peer and environmental factors that can interact to deter young people from underage gambling. Key protective factors were parental role modelling and guidance, friendship groups who avoided gambling, critical thinking, rational gambling beliefs, financial literacy and having other hobbies and interests. Choices to not gamble emanated from multiple layers of influence, implying that multi-layered interventions, aligned with a public health response, are needed to deter underage gambling. At the environmental level, better age-gating for monetary and simulated gambling, countering cultural pressures, and less exposure to promotional gambling messages, may assist young people to resist these influences. Interventions that support parents to provide appropriate role modelling and guidance for their children are also important. Youth education could include cautionary tales from people with lived experience of gambling harm, and education to increase young people's financial literacy, ability to recognise marketing tactics, awareness of the risks and harms of gambling, and how to resist peer and other normalising gambling influences.
Gambling fallacies are a collection of error-stricken beliefs about gambling and how gambling works. Gambling fallacies, while common in the general public, appear to increase as a function of gambling severity. This being the case, many interventions have focused on reducing gambling fallacies as a means of treating problem-gambling. Less research, however, has investigated what factors contributes to gambling fallacy susceptibility in the first place. Available studies have identified associations between gambling fallacy susceptibility and isolated individual differences in, for example, statistical reasoning/understanding, intelligence, or cognitive ability. The current study aimed to assess these cognitive factors in conjunction, and their relative predictive potential for gambling fallacy susceptibility. In an Australian university student sample (n = 90) it was found that there were moderate to strong association between gambling fallacy endorsement and general intelligence, probabilistic reasoning ability, rational cognitive style and the ability to suppress intuitive thought, however, only probabilistic reasoning, rational cognitive style and the ability to suppress intuitive thinking contributed to the prediction of fallacy endorsement. Importantly, each of these factors are malleable. Interventions for the correction of gambling-specific fallacious beliefs should focus on these factors.
Gambling risk behaviour is an emerging problem among adolescents. "Unplugged" is an effective Social Influence curriculum for preventing substance use among students. This study aims to develop and test a new component focused on gambling added to the Unplugged program. Schools of Piedmont region and Rome city were invited to participate in the study. A self-completed anonymous questionnaire including questions on socio-demographic characteristics, addictive behaviours, beliefs, attitudes and risk perceptions about gambling, normative perceptions, parental practices, school climate, refusal skills, impulsiveness, self-esteem, antisocial behaviours and sensation seeking was prepared for baseline and follow-up surveys. The protocol of the study was submitted and approved by the Novara Ethical Committee and registered in ClinicalTrials.gov (NCT05630157, Protocol ID: 080.742, 11/17/2022). Twenty-nine schools accepted to participate in the study. Sixty-three classes (1325 students) satisfied the eligibility criteria for intervention and were allocated to the intervention arm, and the other 61 (1269 students) were allocated to the control arm. Because of drop-out, absentees, refusals, and invalid questionnaires, data on 1874 students (998 in the intervention and 876 in the control arm), were available for the analysis at baseline. Data management of follow-up questionnaires is in progress. Results of the present study will be useful to clarify the effectiveness of prevention interventions in reducing gambling behaviours among adolescents. Moreover, this will be the first experience of evaluating a new component focused on a different risk behaviour, added to a curriculum previously shown as effective on other risk behaviours.
Game-based learning (GBL) is one of the modern trends in education in the 21st century. Numerous research studies have been carried out to investigate the influence of teaching on the students' academic attainment. It is crucial to integrate the cognitive and affective domains into teaching and learning strategies. This study aims to review journal articles from 2018 to 2022 concerning the influence of GBL in mathematics T&L on the students' cognitive and affective domains. A research methodology based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was used for the survey on the basis of the Scopus and Web of Science (WOS) databases wherein 773 articles relating to game-based learning (GBL) in mathematics were discovered. Based on the study topic, study design, study technique, and analysis, only 28 open-access articles were chosen for further evaluation. Two types of cognitive domain and five types of affective domain were identified as related to the implications of GBL on the students' T&L of mathematics. The study results show that GBL has positively impacted students when they are learning mathematics. It is comprised of two types of cognitive domain (knowledge and mathematical skills) and five types of affective domain (achievement, attitude, motivation, interest, and engagement). The findings of this study are anticipated to encourage educators in the classrooms more effectively. GBL in education is now one of the major learning trends of the 21st century. Since 2019, the number of studies relating to game-based learning has increased. There is an influence on the cognitive and affective domains due to T&L Mathematics utilizing a game-based learning (GBL) approach.
Game-based learning has gained popularity in recent years as a tool for enhancing learning outcomes in children. This approach uses games to teach various subjects and skills, promoting engagement, motivation, and fun. In early childhood education, game-based learning has the potential to promote cognitive, social, and emotional development. This systematic review and meta-analysis aim to summarize the existing literature on the effectiveness of game-based learning in early childhood education This systematic review and meta-analysis examine the effectiveness of game-based learning in early childhood education. The results show that game-based learning has a moderate to large effect on cognitive, social, emotional, motivation, and engagement outcomes. The findings suggest that game-based learning can be a promising tool for early childhood educators to promote children's learning and development. However, further research is needed to address the remaining gaps in the literature. The study's findings have implications for educators, policymakers, and game developers who aim to promote positive child development and enhance learning outcomes in early childhood education.