Yoxas/statistical_literacy huggingface dataset:
Human communication has been described as a contextual social inference process. Research into great ape communication has been inspired by this view to look for the evolutionary roots of the social, cognitive and interactional processes involved in human communication. This approach has been highly productive, yet it is partly compromised by the widespread focus on how great apes use and understand individual signals. This paper introduces a computational model that formalizes great ape communication as a multi-faceted social inference process that integrates (a) information contained in the signals that make up an utterance, (b) the relationship between communicative partners and (c) the social context. This model makes accurate qualitative and quantitative predictions about real-world communicative interactions between semi-wild-living chimpanzees. When enriched with a pragmatic reasoning process, the model explains repeatedly reported differences between humans and great apes in the interpretation of ambiguous signals (e.g. pointing or iconic gestures). This approach has direct implications for observational and experimental studies of great ape communication and provides a new tool for theorizing about the evolution of uniquely human communication. This article is part of the theme issue 'Revisiting the human 'interaction engine': comparative approaches to social action coordination'.
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the most commonly used surrogates of the drug triggered arrhythmia, but it is known that the QT interval itself is determined by other nondrug related parameters, physiological and pathological. In the current study, we used the computational intelligence algorithms to analyze correlations between various simulated physiological parameters and QT interval. Terfenadine given concomitantly with 8 enzymatic inhibitors was used as an example. The equation developed with the use of genetic programming technique leads to general reasoning about the changes in the prolonged QT. For small changes of the QT interval, the drug-related IKr and ICa currents inhibition potentials have major impact. The physiological parameters such as body surface area, potassium, sodium, and calcium ions concentrations are negligible. The influence of the physiological variables increases gradually with the more pronounced changes in QT. As the significant QT prolongation is associated with the drugs triggered arrhythmia risk, analysis of the role of physiological parameters influencing ECG seems to be advisable.
Human immunodeficiency virus (HIV) infection through transfusion has been an imperative challenge for blood safety. Despite the implementation of screening strategies, there was still the residual risk of transfusion-transmitted HIV. Considering that the prevalence of HIV infection in blood donors is significant for evaluating blood safety and potential risks to the population, meta-analysis was applied to investigate the HIV prevalence among voluntary blood donors during the past 27 years to characterize the epidemiology and related risk factors of HIV in blood donors. The literature concerning the HIV screening reactive rate and prevalence in Chinese voluntary blood donors was collected through the systematic searching of four electronic databases. After integrating data, following the Preferred Reporting of Items for Systematic Reviews and Meta-Analyses guidelines, data manipulation and statistical analyses were conducted by Stata 12.0. The results indicated that overall HIV prevalence was 0.0178% (95% confidence interval [CI], 0.0169%-0.0187%) with a remarkable rise, which varied from 2000 (0.0034%) to 2015 (0.027%). The HIV window period infection rate was 0.0475‱ (95% CI, 0.0304‱-0.0646‱). Importantly, subgroup analysis revealed the heterogeneity in gender, occupations, education and donation frequency. With the effective control of HIV transmission through blood, HIV prevalence declined in China to some extent in recent years, and the characteristics of HIV epidemic in some provinces have drastically changed. However, remaining relatively high HIV prevalence and overall increased trend of HIV prevalence since the 21th century demonstrates the potential residual risk of blood transfusion, and the whole society is supposed to pay close attention to HIV infection.
Human immunodeficiency virus (HIV)-associated neurocognitive disorder (HAND) prevalence is expected to increase in East Africa as treatment coverage increases, survival improves, and this population ages. This study aimed to better understand the current cognitive phenotype of this newly emergent population of older combination antiretroviral therapy (cART)-treated people living with HIV (PLWH), in which current screening measures lack accuracy. This will facilitate the refinement of HAND cognitive screening tools for this setting. This is a secondary analysis of 253 PLWH aged ≥50 years receiving standard government HIV clinic follow-up in Kilimanjaro, Tanzania. They were evaluated with a detailed locally normed low-literacy neuropsychological battery annually on three occasions and a consensus panel diagnosis of HAND by Frascati criteria based on clinical evaluation and collateral history. Tests of verbal learning and memory, categorical verbal fluency, visual memory, and visuoconstruction had an area under the receiver operating characteristic curve >0.7 for symptomatic HAND (s-HAND) (0.70-0.72; p < 0.001 for all tests). Tests of visual memory, verbal learning with delayed recall and recognition memory, psychomotor speed, language comprehension, and categorical verbal fluency were independently associated with s-HAND in a logistic mixed effects model (p < 0.01 for all). Neuropsychological impairments varied by educational background. A broad range of cognitive domains are affected in older, well-controlled, East African PLWH, including those not captured in widely used screening measures. It is possible that educational background affects the observed cognitive impairments in this setting. Future screening measures for similar populations should consider assessment of visual memory, verbal learning, language comprehension, and executive and motor function.
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are frequently used for preclinical cardiotoxicity testing and remain an important tool for confirming model-based predictions of drug effects in accordance with Comprehensive in Vitro Proarrhythmia Assay (CiPA). Despite the considerable benefits hiPSC-CMs provide, concerns surrounding experimental reproducibility have emerged. We investigated the effects of temporal changes and experimental parameters on hiPSC-CM electrophysiology. iCell cardiomyocytes2 were cultured and biosignals were acquired using a microelectrode array (MEA) system (1-14 days). Continuous recordings revealed a 22.6% increase in the beating rate and 7.7% decrease in the field potential duration (FPD) during a 20-minute equilibration period. Location specific differences across a multiwell plate were also observed, with iCell cardiomyocytes2 in the outer rows beating 8.8 beats per minute (BPM) faster than the inner rows. Cardiac endpoints were also impacted by cell culture duration; from 2-14 days the beating rate decreased (-12.7 BPM), FPD lengthened (+257 ms), and spike amplitude increased (+3.3 mV). Cell culture duration (4-10 days) also impacted cardiomyocyte drug responsiveness (E-4031, nifedipine, isoproterenol). qRT-PCR results suggest that daily variations in cardiac metrics may be linked to the continued maturation of hiPSC-CMs in culture (2-30 days). Daily experiments were also repeated using a second cell line (Cor.4U). Collectively, our study highlights multiple sources of variability to consider and address when performing hiPSC-CM MEA studies. To improve reproducibility and data interpretation, MEA-based studies should establish a standardized protocol and report key experimental conditions (e.g., cell line, culture time, equilibration time, electrical stimulation settings, raw data values).
Human infants show systematic responses to events that violate their expectations. Can they also revise these expectations based on others' expressions of surprise? Here we ask whether infants (N = 156, mean = 15.2 months, range: 12.0-18.0 months) can use an experimenter's expression of surprise to revise their own expectations about statistically probable vs. improbable events. An experimenter sampled a ball from a box of red and white balls and briefly displayed either a surprised or an unsurprised expression at the outcome before revealing it to the infant. Following an unsurprised expression, the results were consistent with prior work; infants looked longer at a statistically improbable outcome than a probable outcome. Following a surprised expression, however, this standard pattern disappeared or was even reversed. These results suggest that even before infants can observe the unexpected events themselves, they can use others' surprise to expect the unexpected. Starting early in life, human learners can leverage social information that signals others' prediction error to update their own predictions.
Human instructors fluidly communicate with hand gestures, head and body movements, and facial expressions, but robots rarely leverage these complementary cues. A minimally supervised social robot with such skills could help people exercise and learn new activities. Thus, we investigated how nonverbal feedback from a humanoid robot affects human behavior. Inspired by the education literature, we evaluated formative feedback (real-time corrections) and summative feedback (post-task scores) for three distinct tasks: positioning in the room, mimicking the robot's arm pose, and contacting the robot's hands. Twenty-eight adults completed seventy-five 30-s-long trials with no explicit instructions or experimenter help. Motion-capture data analysis shows that both formative and summative feedback from the robot significantly aided user performance. Additionally, formative feedback improved task understanding. These results show the power of nonverbal cues based on human movement and the utility of viewing feedback through formative and summative lenses.
Human morality has been investigated using a variety of tasks ranging from judgments of hypothetical dilemmas to viewing morally salient stimuli. These experiments have provided insight into neural correlates of moral judgments and emotions, yet these approaches reveal important differences in moral cognition. Moral reasoning tasks require active deliberation while moral emotion tasks involve the perception of stimuli with moral implications. We examined convergent and divergent brain activity associated with these experimental paradigms taking a quantitative meta-analytic approach. A systematic search of the literature yielded 40 studies. Studies involving explicit decisions in a moral situation were categorized as active (n = 22); studies evoking moral emotions were categorized as passive (n = 18). We conducted a coordinate-based meta-analysis using the Activation Likelihood Estimation to determine reliable patterns of brain activity. Results revealed a convergent pattern of reliable brain activity for both task categories in regions of the default network, consistent with the social and contextual information processes supported by this brain network. Active tasks revealed more reliable activity in the temporoparietal junction, angular gyrus and temporal pole. Active tasks demand deliberative reasoning and may disproportionately involve the retrieval of social knowledge from memory, mental state attribution, and construction of the context through associative processes. In contrast, passive tasks reliably engaged regions associated with visual and emotional information processing, including lingual gyrus and the amygdala. A laterality effect was observed in dorsomedial prefrontal cortex, with active tasks engaging the left, and passive tasks engaging the right. While overlapping activity patterns suggest a shared neural network for both tasks, differential activity suggests that processing of moral input is affected by task demands. The results provide novel insight into distinct features of moral cognition, including the generation of moral context through associative processes and the perceptual detection of moral salience.
Human nutrient intake is closely related to the conditions of their workplace. This study used data from the Korean National Health and Nutritional Examination Survey (KNHANES) conducted between 2016 and 2020. The study population comprised individuals aged 19 to 65 years who were engaged in paid work, excluding soldiers (total = 12,201, male = 5,872, female = 6,329). The primary outcome of interest was the Dietary Inflammatory Index (DII) score, which was calculated using dietary intake data. Generalized linear models were used for statistical analyses. Pink-collar workers had higher DII scores, indicating a potentially higher inflammatory diet than white-collar workers (mean: 2.18 vs. 1.89, p < 0.001). Green and blue-collar workers displayed lower levels of dietary inflammation (green: 1.64 vs. 1.89, p = 0.019, blue: 1.79 vs. 1.89, p = 0.022). After adjusting for sex, age, income, education, and energy intake, the sole trend that persisted was the comparison between white-collar and pink-collar workers. DII scores and dietary patterns differed among occupational groups and genders.
Human papillomavirus (HPV) is the causative agent of cervical cancer and a suspected agent for ovarian and endometrial cancers in women. It is associated with adverse outcomes during pregnancy. To date, there is no estimate of the prevalence of HPV infection in pregnant women at the regional and global levels. This study evaluated the global prevalence of HPV infection based on all observational studies that had reported the prevalence of HPV among pregnant women between January 1980 and December 2021 in PubMed/MEDLINE, Scopus, Web of Science, Embase, and SciELO databases. We utilised a random-effect model to determine the global prevalence and related risk factors of HPV infection. Between-studies heterogeneity was assessed using I2 statistic. Moreover, subgroup and meta-regression analyses were employed to assess the source of heterogeneity and the relationship between HPV prevalence and socio-demographic factors, respectively. Among 144 eligible studies comprising 189 datasets, the overall prevalence rates of HPV at the 95% confidence interval (CI) were estimated as 30.38% (26.88%-33.99%), 17.81% (9.81%-27.46%), 32.1% (25.09%-39.67%), 2.26% (0.1%-8.08%) and 25.5% (23.3%-27.8%) in cervico-vaginal, placenta, serum, amniotic fluid and urine samples, respectively. The highest prevalence rates were estimated for countries in the African region, while countries in the European and Eastern Mediterranean regions showed the lowest prevalence rates. HPV-16 and -18 were the most prevalent isolated strains. The pregnant women living with HIV and those with pregnancy disorders had significantly higher prevalence rates than general pregnant women (p < 0.05). The younger ages for first intercourse and pregnancy, multiple lifetime sexual partners, and lower education levels were primary risk factors for HPV infection. In conclusion, although the overall HPV prevalence varied markedly based on sampling sites and geographical locations, the highest prevalence rates were observed in less-developed countries. Our findings imply that implementing behavioural and therapeutic interventions as well as vaccination programs are crucial to prevent and reduce the current burden of HPV infection among pregnant women.
Human papillomavirus (HPV) primary testing for cervical screening is being implemented around the world. We explored HPV awareness, and knowledge about primary screening in Great Britain (England, Scotland and Wales), where it has been in place for several years, ahead of extended screening intervals being implemented in England. Women aged 18-70 (n = 1995) were recruited by YouGov from their online panel in August 2022. The weighted sample (n = 1930) was population-representative by age, region, education and social grade. We measured HPV awareness, knowledge (excluding those unaware of HPV) using eight true/false items, and understanding of the role of HPV testing in cervical screening. Overall, 77.6% (1499/1930) of women were aware of HPV. When asked to identify the statement describing how cervical screening works, only 12.2% (236/1930) correctly selected the statement reflecting HPV primary screening (13.5% (194/1436) in screening-eligible women). Excluding those unaware of HPV, most participants had heard about the virus in the context of cervical screening (981/1596; 61.5%) or HPV vaccination (1079/1596; 67.6%). Mean knowledge score was 3.7 out of 8 (SD = 2.2) in this group. Most knew that an HPV-positive result does not mean a woman will definitely develop cervical cancer (1091/1499; 72.8%) but far fewer were aware of the long timeline for HPV to develop into cervical cancer (280/1499; 18.7%). Only three-quarters of women in Britain are aware of HPV, and knowledge of primary screening is very low, even among screening-age women. This points to continued need for awareness-raising campaigns to ensure informed choice about screening and mitigate public concern when screening intervals are extended.
Human papillomavirus (HPV) vaccination protects against HPV-associated cancers and genital warts. Healthy People 2030 goal for HPV vaccine uptake is 80%, but as of 2021, only 58.5% of adolescents are up to date in Georgia. The purpose of the study is to assess the attitudes, vaccine practices, facilitators, and barriers to receiving the HPV vaccine in southwest Georgia. We conducted 40 semi-structured interviews in the United States from May 2020-Feburary 2022 with three different audiences (young adults, parents, and providers and public health professionals) guided by the P3 (patient-, provider-, practice-levels) Model. The audiences were recruited by multiple methods including fliers, a community advisory board, Facebook ads, phone calls or emails to schools and health systems, and snowball sampling. Young adults and parents were interviewed to assess their perceived benefits, barriers, and susceptibility of the HPV vaccine. Providers and public health professionals were interviewed about facilitators and barriers of patients receiving the HPV vaccine in their communities. We used deductive coding approach using a structured codebook, two coders, analyses in MAXQDA, and matrices. Out of the 40 interviews: 10 young adults, 20 parents, and 10 providers and public health professionals were interviewed. Emerging facilitator themes to increase the uptake of the HPV vaccine included existing knowledge (patient level) and community outreach, providers' approach to the HPV vaccine recommendations and use of educational materials in addition to counseling parents or young adults (provider level) and immunization reminders (practice level). Barrier themes were lack of knowledge around HPV and the HPV vaccine (patient level), need for strong provider recommendation and discussing the vaccine with patients (provider level), and limited patient reminders and health education information around HPV vaccination (practice level). Related to socio-ecology, the lack of transportation and culture of limited discussion about vaccination in rural communities and the lack of policies facilitating the uptake of the HPV vaccine (e.g., school mandates) were described as challenges. These interviews revealed key themes around education, knowledge, importance of immunization reminders, and approaches to increasing the HPV vaccination in rural Georgia. This data can inform future interventions across all levels (patient, provider, practice, policy, etc.) to increase HPV vaccination rates in rural communities.
Human papillomavirus (HPV), the most prevalent sexually transmitted infection globally, is a key risk factor for high-grade cervical lesions and cervical cancer. Since 2009, HPV vaccination has been part of the national immunization program for girls in 7th grade in Norway (women born 1997 and later). This study aimed to assess the impact of HPV vaccination on the incidence of high-grade cervical precursors (CIN2+) among women aged 20-25 in Troms and Finnmark over a 15-year period. In this time series study, we analyzed cervical screening data from 15,328 women aged 20-25 in Troms and Finnmark, collected between 2008 and 2022. Statistical methods, including linear and logistic regression, were employed to evaluate changes in cervical intraepithelial neoplasia grade 2 and worse (CIN2+) incidence and compare risks between vaccine-offered cohorts and pre-vaccine cohorts. The incidence of CIN2+ initially increased from 31 cases per year in 2008 to 110 cases in 2018, then significantly decreased to 44 cases per year by 2022 (p < 0.01). Women in pre-vaccine cohorts had a substantially higher risk of CIN2+ (OR 9.02, 95% CI 5.9-13.8) and CIN3+ (OR 19.6, 95% CI 7.3-52.6). Notably, no vaccinated women with CIN2+ tested positive for HPV types 16 or 18. Furthermore, none of the 13 cervical cancer cases recorded during the study were from the vaccinated cohorts. The findings suggest a significant reduction in the incidence of high-grade cervical precursors following the introduction of the HPV vaccine in Norway's national immunization program, highlighting its effectiveness in cervical cancer prevention among young women in Northern Norway.
Human pathophysiology is occasionally too complex for unaided hypothetical-deductive reasoning and the isolated application of additive or linear statistical methods. Clustering algorithms use input data patterns and distributions to form groups of similar patients or diseases that share distinct properties. Although clinicians frequently perform tasks that may be enhanced by clustering, few receive formal training and clinician-centered literature in clustering is sparse. To add value to clinical care and research, optimal clustering practices require a thorough understanding of how to process and optimize data, select features, weigh strengths and weaknesses of different clustering methods, select the optimal clustering method, and apply clustering methods to solve problems. These concepts and our suggestions for implementing them are described in this narrative review of published literature. All clustering methods share the weakness of finding potential clusters even when natural clusters do not exist, underscoring the importance of applying data-driven techniques as well as clinical and statistical expertise to clustering analyses. When applied properly, patient and disease phenotype clustering can reveal obscured associations that can help clinicians understand disease pathophysiology, predict treatment response, and identify patients for clinical trial enrollment.