Yoxas/statistical_literacy huggingface dataset:
Scrub Typhus (ST) is an acute febrile illness caused by obligate intracellular bacteria of the family Rickettsia. It is often unrecognized and neglected but prevalent in tropical regions of endemic areas. The tragedy behind this diagnostic dilemma is non-specific clinical signs and symptoms, limited awareness, unavailability of diagnostic facilities, and low index of suspicion among the physicians. To address the knowledge gap, we tried to find out a proper panel of laboratory investigations to diagnose the disease and predict its progression because of the uncertainty of the course of the disease in a tertiary care hospital in western Nepal. This is a hospital laboratory-based prospective study conducted at Gandaki Medical College- Teaching Hospital (GMC-TH) for a period of two years. Among 988 cases of acute febrile illness, 40 seropositive cases of ST were enrolled in the study. We excluded those who did not give consent for the participation, those who were under 17 years of age, and those who had preexisting liver dysfunctions and other co-morbidities and dual seropositive with other infectious etiologies. We used descriptive statistics to analyze the data in terms of demography, clinical features, and laboratory parameters. Out of 988 febrile patients, we included 40 confirmed cases of ST aged between 17 and 70 years during the study-period. Maximum seropositive cases were from Tanahun district 14 (35%), with predominance among the women (70%). The cases were prevalent in the age group 30-60 years, 19 (47.5%), and in the month of October 15 (37.5%). The commonest complaints were fever in 40 (100%), headache in 20 (50%), eschar in 11 (27.5%). Laboratory parameters showed anemia in 22 (55%), hypoalbuminemia in 11 (27.5%), leukopenia in 5 (12.5%), leukocytosis in 9 (22.5%), thrombocytopenia in 13 (32.5%), raised transaminase levels, SGPT in 21 (52.5%) and SGOT in 14 (26%) ST patients. We found clinical and laboratory profiles in patients with ST were varied and nonspecific. However, knowledge of these findings may evoke the recognition of ST and give a clue to the progression of the disease.
Secondary school students are at risk for mental health problems, especially nowadays, when we face an increase in mental health issues among adolescents and the general population. Mental health literacy (MHL) and help-seeking behavior are considered protective factors; however, we lack data on the levels of MHL in secondary school students and how MHL is developed in schools. This correlational and comparative study was designed to investigate mental health literacy (MHL) and help-seeking behavior among secondary school students in Slovakia. A convenient sample of 250 Slovak secondary school students responded to an anonymous online survey consisting of two scales (Mental Health Literacy Scale and Self-stigma of Seeking Help). Significant differences in mental health literacy (t(248) = 5.56; p ≤ 0.0) and stigma of seeking help (t(248) = -4.33; p ≤ 0.01) were observed between students in general and vocational secondary school. Students in general secondary school who attended optional psychology courses had the highest scores in mental health literacy (U = 987; p = 0.003). These preliminary findings showed that secondary students with a higher level of mental health literacy reported a lower level of self-stigmatization related to seeking professional mental health help (r = -0.339; p ≤ 0.01). Implementing mental health education into secondary school curricula can potentially help increase mental health literacy and decrease self-stigma of seeking help.
Secondary school students are vulnerable to risky sexual behaviors (RSBs) which may lead to adverse health consequences, such as teenage pregnancies and sexually transmitted diseases (STDs), including HIV/AIDS. In Tanzania, the burden of teenage pregnancy was reported to be 27% in 2016. The integration of sexual and reproductive health (SRH) education into the school curriculum is one of the proven crucial interventions. However, there is limited information on the extent to which curriculum-based SRH education is relevant for fostering good practices for coping with RSBs. This study sought to describe students' and teachers' perceptions of the relevance of curriculum-based SRH education. A qualitative study was conducted from May to June 2020 (involving 5 secondary schools in Ilemela district, Mwanza, Tanzania). In-depth interviews (30) were conducted among secondary school students and 10 interviews for teachers. The data were collected in Swahili and then transcribed and translated into English after which thematic content analysis was performed. The majority (56%) of secondary school students were revealed to have a limited understanding of curriculum-based SRH education, which was limited to a few aspects of health that involved married people and pregnant women. Teachers of different subjects had different perceptions about the relevance of curriculum-based SRH education. Civics teachers had the perception that it was relevant and enough, while Biology teachers thought that it was not enough. Students reported utilizing the information taught in class to manage and navigate RSBs. Moreover, they expressed a need for additional delivery strategies to be used for a comprehensive understanding of sexual and reproductive health. Despite the identified gaps in providing a comprehensive knowledge that builds on the appropriate attitudes and skills, the existing curriculum-based SRH education in secondary schools was utilized to help students in addressing and managing RSBs. However, there is a need for more comprehensive information and an improved delivery approach for SRH to equip students with the necessary skills when faced with RSBs.
Secondary schools have attempted to address gaps in help-seeking for mental health problems with little success. This trial evaluated the effectiveness of a universal web-based service (Smooth Sailing) for improving help-seeking intentions for mental health problems and other related outcomes among students. A cluster randomised controlled trial was conducted to evaluate the 12-week outcomes of the Smooth Sailing service among 1841 students from 22 secondary schools in New South Wales, Australia. Assignment was conducted at the school level. The control condition received school-as-usual. The primary outcome was help-seeking intentions for general mental health problems at 12-weeks post-baseline. Secondary outcomes included help-seeking behaviour, anxiety and depressive symptoms, psychological distress, psychological barriers to help-seeking, and mental health literacy. Data were analysed using mixed linear models. This trial was registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12618001539224). At 12-weeks post-baseline, there was a marginal statistical difference in the relative means of help-seeking intentions (effect size=0•10, 95%CI: -0•02-0•21) that favoured the intervention condition. Help-seeking from adults declined in both conditions. There was a greater reduction in the number of students who "needed support for their mental health but were not seeking help" in the intervention condition (OR: 2•08, 95%CI: 1•72-2.27, P<•0001). No other universal effects were found. Participants found the service easy to use and understand; However, low motivation, time, forgetfulness, and lack of perceived need were barriers to use. Smooth Sailing led to small improvements in help-seeking intentions. Refinements are needed to improve its effectiveness on other mental health outcomes and to increase student uptake and engagement. HSBC and Graf Foundation.
Secondary traumatic stress and compassion fatigue have been studied among trauma clinicians yet have not been explored in trauma registry professionals (TRPs). The purpose of this study is to describe the secondary traumatic stress component of compassion fatigue among TRPs. A qualitative, phenomenological study was conducted to examine TRPs' experiences with the secondary traumatic stress component of compassion fatigue. The primary investigator assembled a multidisciplinary team of researchers, including nursing leadership, registry educators, mental health experts, and qualitative researchers. Two focus groups were held virtually in January 2021, using an interview guide designed by the research team. Participants were recruited via an email sent to a list of colleagues known to the research team from training classes held nationally and selected for their diverse clinical experiences, years in the role, demographic background, and trauma center representation. The recorded sessions were independently transcribed and analyzed by a five-member subgroup of the research team; the analysis concluded in December 2022. Nine TRPs participated in the focus groups. Participants came from Level I, II, and III adult and pediatric trauma centers and military centers. Four themes emerged from the data: disquieting and rewarding work, reactions and emotional responses, the influence of personal histories and background, and coping strategies. A qualitative analysis of focus group discussions revealed the secondary traumatic stress component of compassion fatigue is present in the TRP.
Secondhand smoke (SHS) exposure during pregnancy is linked to adverse birth outcomes, such as low birth weight and preterm birth. While questionnaires are commonly used to assess SHS exposure, their ability to capture true exposure can vary, making it difficult for researchers to harmonize SHS measures. This study aimed to compare self-reported SHS exposure with measurements of airborne SHS in personal samples of pregnant women. SHS was measured on 48-hour integrated personal PM2.5 Teflon filters collected from 204 pregnant women, and self-reported SHS exposure measures were obtained via questionnaires. Descriptive statistics were calculated for airborne SHS measures, and analysis of variance tests assessed group differences in airborne SHS concentrations by self-reported SHS exposure. Participants were 81% Hispanic, with a mean (standard deviation [SD]) age of 28.2 (6.0) years. Geometric mean (SD) personal airborne SHS concentrations were 0.14 (9.41) µg/m3. Participants reporting lower education have significantly higher airborne SHS exposure (p = .015). Mean airborne SHS concentrations were greater in those reporting longer duration with windows open in the home. There was no association between airborne SHS and self-reported SHS exposure; however, asking about the number of smokers nearby in the 48-hour monitoring period was most correlated with measured airborne SHS (Two + smokers: 0.30 µg/m3 vs. One: 0.12 µg/m3 and Zero: 0.15 µg/m3; p = .230). Self-reported SHS exposure was not associated with measured airborne SHS in personal PM2.5 samples. This suggests exposure misclassification using SHS questionnaires and the need for harmonized and validated questions to characterize this exposure in health studies. This study adds to the growing body of evidence that measurement error is a major concern in pregnancy research, particularly in studies that rely on self-report questionnaires to measure SHS exposure. The study introduces an alternative method of SHS exposure assessment using objective optical measurements, which can help improve the accuracy of exposure assessment. The findings emphasize the importance of using harmonized and validated SHS questionnaires in pregnancy health research to avoid biased effect estimates. This study can inform future research, practice, and policy development to reduce SHS exposure and its adverse health effects.
Security Information and Event Management (SIEM) technologies play an important role in the architecture of modern cyber protection tools. One of the main scenarios for the use of SIEM is the detection of attacks on protected information infrastructure. Consorting that ISO 27001, NIST SP 800-61, and NIST SP 800-83 standards objectively do not keep up with the evolution of cyber threats, research aimed at forecasting the development of cyber epidemics is relevant. The article proposes a stochastic concept of describing variable small data on the Shannon entropy basis. The core of the concept is the description of small data by linear differential equations with stochastic characteristic parameters. The practical value of the proposed concept is embodied in the method of forecasting the development of a cyber epidemic at an early stage (in conditions of a lack of empirical information). In the context of the research object, the stochastic characteristic parameters of the model are the generation rate, the death rate, and the independent coefficient of variability of the measurement of the initial parameter of the research object. Analytical expressions for estimating the probability distribution densities of these characteristic parameters are proposed. It is assumed that these stochastic parameters of the model are imposed on the intervals, which allows for manipulation of the nature and type of the corresponding functions of the probability distribution densities. The task of finding optimal functions of the probability distribution densities of the characteristic parameters of the model with maximum entropy is formulated. The proposed method allows for generating sets of trajectories of values of characteristic parameters with optimal functions of the probability distribution densities. The example demonstrates both the flexibility and reliability of the proposed concept and method in comparison with the concepts of forecasting numerical series implemented in the base of Matlab functions.
Segmental and suprasegmental phonological awareness (PA) are closely related to word reading skills in native speakers learning to read an alphabetic script as used in English. However, their roles in English word and pseudoword reading among native Chinese (NC) speakers, and how English proficiency might affect these relationships, remain less clear. This study examined the links between English segmental/suprasegmental PA and word/pseudoword reading in NC and native English (NE) speakers. Both child and adult participants were assessed on English segmental and suprasegmental PA, alongside vocabulary, at a single time point. The results showed that both segmental PA (elision and segmenting nonwords) and suprasegmental PA (aural suffix judgment and written suffix judgment) were significantly correlated with English real word and pseudoword reading of both NE and NC children, and NC adults, but not NE adults. Moreover, for NE and NC children, segmental PA correlated stronger with real word reading than suprasegmental PA after controlling for vocabulary. Among NC adults, both segmental and suprasegmental PA significantly contributed to real word reading. For pseudoword reading, after controlling for vocabulary, segmental PA had a stronger correlation among NC children and adults, while suprasegmental PA was more influential for NE children. This research gives insights into factors influencing NC speakers' English word reading ability, bearing essential implications for enhancing second language literacy in learners from a logographic background.
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model based approach to interpret the image observations by multiple, partially occluded human hypotheses in a Bayesian framework. We define a joint image likelihood for multiple humans based on the appearance of the humans, the visibility of body obtained by occlusion reasoning, and foreground/background separation. The optimal solution is obtained by using an efficient sampling method, data-driven Markov chain Monte Carlo (DDMCMC), which uses image observations for proposal probabilities. Knowledge of various aspects including human shape, camera model, and image cues are integrated in one theoretically sound framework. We present experimental results and quantitative evaluation, demonstrating that the resulting approach is effective for very challenging data.
Segmentation of abdominal computed tomography (CT) provides spatial context, morphological properties, and a framework for tissue-specific radiomics to guide quantitative Radiological assessment. A 2015 MICCAI challenge spurred substantial innovation in multi-organ abdominal CT segmentation with both traditional and deep learning methods. Recent innovations in deep methods have driven performance toward levels for which clinical translation is appealing. However, continued cross-validation on open datasets presents the risk of indirect knowledge contamination and could result in circular reasoning. Moreover, "real world" segmentations can be challenging due to the wide variability of abdomen physiology within patients. Herein, we perform two data retrievals to capture clinically acquired deidentified abdominal CT cohorts with respect to a recently published variation on 3D U-Net (baseline algorithm). First, we retrieved 2004 deidentified studies on 476 patients with diagnosis codes involving spleen abnormalities (cohort A). Second, we retrieved 4313 deidentified studies on 1754 patients without diagnosis codes involving spleen abnormalities (cohort B). We perform prospective evaluation of the existing algorithm on both cohorts, yielding 13% and 8% failure rate, respectively. Then, we identified 51 subjects in cohort A with segmentation failures and manually corrected the liver and gallbladder labels. We re-trained the model adding the manual labels, resulting in performance improvement of 9% and 6% failure rate for the A and B cohorts, respectively. In summary, the performance of the baseline on the prospective cohorts was similar to that on previously published datasets. Moreover, adding data from the first cohort substantively improved performance when evaluated on the second withheld validation cohort.
Selecting an empiric antimicrobial regimen can be difficult for early learners and misuse of antibiotics can lead to adverse events and antimicrobial resistance. There have been few interventions that have focused on improving antibiotic decision making, as a form of therapeutic reasoning, for post-graduate trainees. We describe here an approach to aid internal medicine interns in their therapeutic reasoning, particularly when it comes to diagnosing and empirically treating infections. The PEST (pathology, epidemiology, severity, treatment) model was created as a four-step approach to therapeutic reasoning and choosing an appropriate antimicrobial regimen for a given infectious disease syndrome. In February 2020, we conducted two independent teaching sessions for interns on the PEST approach. We assessed pre-and post-teaching responses to five clinical vignette-based questions. Results were presented as a percentage of interns who chose an appropriate antibiotic and provided sufficient therapeutic reasoning as defined by using at least three out of the four PEST criteria. Statistical analysis occurred via Fischer's exact test to determine the level of statistical significance between responses. Twenty-seven interns participated in the activity. At baseline, several interns had incorporated aspects of the PEST approach in their pre-teaching responses. Ten interns commented on the usefulness of such a systematic approach. While there was no statistically significant difference in antibiotic selection, the teaching session demonstrated a trend towards significance in improving therapeutic reasoning as defined by the PEST strategy. Our results suggested an improvement in using a structured cognitive tool such as the PEST approach to reinforce therapeutic reasoning, but the method did little to improve antibiotic selection. Some interns used select "PEST" concepts prior to the intervention suggesting that the PEST approach may enhance prior knowledge or clinical reasoning skills. Continued incorporation of the PEST approach using a case-based framework may solidify conceptual and practical knowledge of antimicrobial selection. Further studies are needed to assess the impact of such teaching interventions.
Selecting the ideal tooth shade is essential to the success of aesthetic dental restorations. Students' cognitive abilities are involved in the multifaceted and intricate process of shade matching. Hence, the present study aimed to assess and compare the shade-matching ability of undergraduate dental students in various years of dental education under clinical and correcting light. This comparative cross-sectional study was instigated amongst male 4th, 5th, and 6th-year students of the dental complex of King Faisal University, Kingdom of Saudi Arabia. A total of 72 male dental students assessed the shade under clinical (fluorescent light) and correcting light (handheld Dental Base Light) by using VITA Classical shade guides. Statistical analysis was done using SPSS version 23 (Armonk, NY, USA). The Chi-square test was used to evaluate the association between correct and incorrect shade matching under correcting and clinical light. Out of 72 male students, 22(30.6%) were from the 4th year, 26(36.1%) were from the 5th year, and 24(33.3%) were from the 6th year, with a mean age of 22.92 ± 1.01 years. The majority of the 6th-year students selected shade of anterior tooth # 11 correctly under clinical and correcting light, and 3(12.5%) students selected incorrectly under clinical and correcting light, with a statistically significant association among them (p = 0.004). As far as the shade selection of the posterior tooth is concerned, a statistically significant difference was observed under clinical light among all clinical students (p = 0.008). The clinical performance of dental students in shade matching improved with advancing years of dental education. Additionally, the shade matching ability of all groups of dental students was superior under correcting light compared to conditions under clinical light.
Selection for higher education (HE) programs may hinder equal opportunities for applicants and thereby reduce student diversity and representativeness. However, variables which could play a role in inequality of opportunity are often studied separately from each other. Therefore, this retrospective cohort study conducts an innovative intersectional analysis of the inequality of opportunity in admissions to selective HE programs. Using a combination of multivariable logistic regression analyses and descriptive statistics, we aimed to investigate 1) the representativeness of student populations of selective HE programs, as compared to both the applicant pool and the demographics of the age cohort; 2) the demographic background variables which are associated with an applicant's odds of admission; and 3) the intersectional acceptance rates of applicants with all, some or none of the background characteristics positively associated with odds of admission. The study focused on all selective HE programs (n = 96) in The Netherlands in 2019 and 2020, using Studielink applicant data (N = 85,839) and Statistics Netherlands microdata of ten background characteristics. The results show that student diversity in selective HE programs is limited, partly due to the widespread inequality of opportunity in the selection procedures, and partly due to self-selection. Out of all ten variables, migration background was most often (negatively) associated with the odds of receiving an offer of admission. The intersectional analyses provide detailed insight into how (dis)advantage has different effects for different groups. We therefore recommend the implementation of equitable admissions procedures which take intersectionality into account.