A central question in behavioral and social sciences is understanding to what extent cultural traits are inherited from previous generations, transmitted from adjacent populations or produced in response to changes in socioeconomic and ecological conditions. As quantitative diachronic databases recording the evolution of cultural artifacts over many generations are becoming more common, there is a need for appropriate data-driven methods to approach this question. Here we present a new Bayesian method to infer the dynamics of cultural traits in a diachronic dataset. Our method called Evoked-Transmitted Cultural model (ETC) relies on fitting a latent-state model where a cultural trait is a latent variable which guides the production of the cultural artifacts observed in the database. The dynamics of this cultural trait may depend on the value of the cultural traits present in previous generations and in adjacent populations (transmitted culture) and/or on ecological factors (evoked culture). We show how ETC models can be fitted to quantitative diachronic or synchronic datasets, using the Expectation-Maximization algorithm, enabling estimating the relative contribution of vertical transmission, horizontal transmission and evoked component in shaping cultural traits. The method also allows to reconstruct the dynamics of cultural traits in different regions. We tested the performance of the method on synthetic data for two variants of the method (for binary or continuous traits). We found that both variants allow reliable estimates of parameters guiding cultural evolution, and that they outperform purely phylogenetic tools that ignore horizontal transmission and ecological factors. Overall, our method opens new possibilities to reconstruct how culture is shaped from quantitative data, with possible application in cultural history, cultural anthropology, archaeology, historical linguistics and behavioral ecology.

Purpose

Mental health is a significant problem following exposure to a traumatic event. This study aimed to examine quarantine-related experiences, traumatic stress, and coping strategies among adults quarantined in Saudi Arabia due to coronavirus disease 2019 (COVID-19) exposure or travel history.

Methods

Individuals aged ≥ 18 years who were quarantined in Saudi Arabia due to COVID-19 exposure or travel history were included. We used a sequential mixed methods design, using an online survey followed by in-depth individual telephonic interviews. The Impact of Event Scale-Revised (IES-R) was used to measure post-traumatic stress disorder (PTSD) symptoms after the quarantine. To identify factors associated with significant symptoms (IES-R score ≥ 33), prevalence ratios (PR) with 95% confidence intervals were computed using Poisson regression with robust error variance. In the next phase, a subset of the participants (n = 26) were interviewed to elicit their quarantine-related experiences and coping responses. Major themes and subthemes were identified.

Results

Of the 111 adults who completed the survey, 32 (28.8% [95% CI, 21.1-38.0%]) had significant PTSD symptoms (IES-R score ≥ 33) and 27 (24.3% [95% CI, 17.2-33.3%]) had severe symptoms (IES-R score > 37). Marital status was the only variable that was significantly associated with significant PTSD symptoms (P = 0.028). Significant symptoms were twice as prevalent in married adults than among other marital groups (PR 2.00, 95% CI, 1.08-3.72). Participants reported negative emotions such as overwhelming fear, helplessness, anxiety, and disgust. Participants utilized both problem-centered coping (e.g., use of social support) and emotion-centered coping (e.g., use of positive diversionary activities) during the quarantine period.

Conclusion

PTSD symptoms were present in one out of every four quarantined persons. The quarantine experience is viewed negatively. These findings highlight the need for increased awareness about stress-related disorders among quarantined individuals. Efforts are needed to detect and manage these symptoms early while making the quarantine experience more satisfying for the involved individuals and groups.

Introduction

As of February 2021 COVID-19 report in 57 African countries, there were 3,761,512 confirmed cases and 98,088 deaths. Ethiopia reported the highest number of cases in East Africa with a total of 147,092 cases and 2,194 deaths. Over 1.5 billion students from 195 countries across the world separated from school as a consequence of the closure of schools related to the pandemic. This study aimed to determine the level of knowledge, attitude, prevention practices, and determinant factors regarding COVID-19 among preparatory school students in southwest Ethiopia.

Methods

An institution-based cross-sectional study design was used for 422 samples. Each respondent was selected using simple random sampling. Data were collected using a self-administered questionnaire. The collected data were entered and analyzed using Statistical Package for social science software version 25.0. Multivariable binary logistic regression was used to identify factors that were significantly associated with the practice of COVID-19 prevention.

Results

The response rate in this study was 96.2%. A higher proportion of the respondents were female (53.9%), Bench (43.6%), and protestant (47.3%). The level of good knowledge, positive attitude, and good practice were 81.8%, 70.9%, and 47.0% respectively. Using social media [AOR: 1.801, 95% CI: 1.005, 3.226], watching television [AOR: 1.884 95% CI: 1.093, 3.247], being knowledgeable [AOR: 5.173 95% CI: 2.276, 11.755], and having a positive attitude [AOR: 4.300 95% CI: 2.351, 7.868] were positively associated with COVID-19 prevention practice.

Conclusion

Despite the high level of knowledge and a moderate level of positive attitude, the practice of COVID-19 prevention measures was low. Using social media, watching television, being knowledgeable, and having positive attitudes towards COVID-19 increases the tendency to practice COVID-19 prevention measures. School directors and teachers should strictly monitor students for their adherence to COVID-19 prevention measures as directed by the local and national health care departments.

Power laws are of interest to several scientific disciplines because they can provide important information about the underlying dynamics (e.g. scale invariance and self-similarity) of a given system. Because power laws are of increasing interest to the cardiac sciences as potential indicators of cardiac dysfunction, it is essential that rigorous, standardized analytical methods are employed in the evaluation of power laws. This study compares the methods currently used in the fields of condensed matter physics, geoscience, neuroscience, and cardiology in order to provide a robust analytical framework for evaluating power laws in stem cell-derived cardiomyocyte cultures. One potential power law-obeying phenomenon observed in these cultures is pacemaker translocations, or the spatial and temporal instability of the pacemaker region, in a 2D cell culture. Power law analysis of translocation data was performed using increasingly rigorous methods in order to illustrate how differences in analytical robustness can result in misleading power law interpretations. Non-robust methods concluded that pacemaker translocations adhere to a power law while robust methods convincingly demonstrated that they obey a doubly truncated power law. The results of this study highlight the importance of employing comprehensive methods during power law analysis of cardiomyocyte cultures.

Millimetre-wave frequencies are promising for sensitive detection of glucose levels in the blood, where the temperature effect is insignificant. All these features provide the feasibility of continuous, portable, and accurate monitoring of glucose levels. This paper presents a metamaterial-inspired resonator comprising five split-rings to detect glucose levels at 24.9 GHz. The plexiglass case containing blood is modelled on the sensor's surface and the structure is simulated for the glucose levels in blood from 50 mg/dl to 120 mg/dl. The novelty of the sensor is demonstrated by the capability to sense the normal glucose levels at millimetre-wave frequencies. The dielectric characteristics of the blood are modelled by using the Debye parameters. The proposed design can detect small changes in the dielectric properties of blood caused by varying glucose levels. The variation in the transmission coefficient for each glucose level tested in this study is determined by the quality factor and resonant frequency. The sensor presented can detect the change in the quality factor of transmission response up to 2.71/mg/dl. The sensor's performance has also been tested to detect diabetic hyperosmolar syndrome. The sensor showed a linear shift in resonant frequency with the change in glucose levels, and an R2 of 0.9976 was obtained by applying regression analysis. Thus, the sensor can be used to monitor glucose in a normal range as well as at extreme levels.

Drosophila saltans group belongs to the subgenus Sophophora (family Drosophilidae), and it is subdivided into five subgroups, with 23 species. The species in this group are widely distributed in the Americas, primarily in the Neotropics. In the literature, the phylogenetic reconstruction of this group has been performed with various markers, but many inconsistencies remain. Here, we present a phylogenetic reconstruction of the saltans group with a greater number of species, 16 species, which is the most complete to date for the saltans group and includes all subgroups, in a combined analysis with morphological and molecular markers. We incorporated 48 morphological characters of male terminalia, the highest number used to date, and molecular markers based on mitochondrial genes COI and COII. Based on the results, which have recovered the five subgroups as distinct lineages, we propose a new hypothesis regarding the phylogenetic relationships among the subgroups of the saltans group. The relationships of the species within the sturtevanti and elliptica subgroups were well supported. The saltans subgroup showed several polytomies, but the relationship between the sibling species D. austrosaltans and D. saltans and their close relation with D. nigrosaltans were well supported in the molecular and total evidence analyses. The morphological analysis additionally supported the formation of the clade D. nigrosaltans-D. pseudosaltans. The observed polytomies may represent synchronous radiations or have resulted from speciation rates that have been too fast relative to the pace of substitution accumulation.