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Nevin Manimala Statistics

Postmarital residence rules and transmission pathways in cultural hitchhiking

Proc Natl Acad Sci U S A. 2024 Nov 26;121(48):e2322888121. doi: 10.1073/pnas.2322888121. Epub 2024 Nov 18.

ABSTRACT

Cultural evolutionary processes can often lead to a statistical association between neutral and adaptive traits during episodes of population dispersal and the introduction of a beneficial technology in a geographic region. Here, we examine such cultural hitchhiking processes using an individual-based model that portrays the cultural interaction between a migrant and an incumbent population. Our model is loosely based on the interaction between farming and foraging populations during the initial stages of the adoption and diffusion of agricultural practices. The two populations are characterized by different variants for their neutral and adaptive cultural traits, with the latter set providing a reproductive advantage for the migrant communities over the incumbent ones. We explore how the neutral traits of the migrant population spread and how this process is conditioned by the following factors: 1) the possibility of transmission of the adaptive traits; 2) the extent of the increased reproductive advantage provided by the adaptive variants of the migrant population; 3) postmarital residence rules; and 4) how and when neutral traits are transmitted. Our results reveal a diverse range of outputs, highlighting the relevance of factors such as the nature of postmarital resocialization and the specific combination of postmarital residence rules and sex-biased transmission.

PMID:39556741 | DOI:10.1073/pnas.2322888121

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Nevin Manimala Statistics

Symmetry engineering in 2D bioelectronics facilitating augmented biosensing interfaces

Proc Natl Acad Sci U S A. 2024 Nov 26;121(48):e2412684121. doi: 10.1073/pnas.2412684121. Epub 2024 Nov 18.

ABSTRACT

Symmetry lies at the heart of two-dimensional (2D) bioelectronics, determining material properties at the fundamental level. Breaking the symmetry allows emergent functionalities and effects. However, symmetry modulation in 2D bioelectronics and the resultant applications have been largely overlooked. Here, we devise an oxidized architectural MXene, referred to as oxidized MXene (OXene), that couples orbit symmetric breaking with inverse symmetric breaking to entitle the optimized interfacial impedance and Schottky-induced piezoelectric effects. The resulting OXene validates applications ranging from microelectrode arrays, gait analysis, active transistor matrix, and wireless signaling transmission, which enables high-fidelity signal transmission and reconfigurable logic gates. Furthermore, OXene interfaces were investigated in both rodent and porcine myocardium, featuring high-quality and spatiotemporally resolved physiological recordings, while accurate differentiated predictions, enabled via various machine learning pipelines.

PMID:39556733 | DOI:10.1073/pnas.2412684121

Categories
Nevin Manimala Statistics

Bridging theory and data: A computational workflow for cultural evolution

Proc Natl Acad Sci U S A. 2024 Nov 26;121(48):e2322887121. doi: 10.1073/pnas.2322887121. Epub 2024 Nov 18.

ABSTRACT

Cultural evolution applies evolutionary concepts and tools to explain the change of culture over time. Despite advances in both theoretical and empirical methods, the connections between cultural evolutionary theory and evidence are often vague, limiting progress. Theoretical models influence empirical research but rarely guide data collection and analysis in logical and transparent ways. Theoretical models themselves are often too abstract to apply to specific empirical contexts and guide statistical inference. To help bridge this gap, we outline a quality-assurance computational workflow that starts from generative models of empirical phenomena and logically connects statistical estimates to both theory and real-world explanatory goals. We emphasize and demonstrate validation of the workflow using synthetic data. Using the interplay between conformity, migration, and cultural diversity as a case study, we present coded and repeatable examples of directed acyclic graphs, tailored agent-based simulations, a probabilistic transmission model for longitudinal data, and an approximate Bayesian computation model for cross-sectional data. We discuss the assumptions, opportunities, and pitfalls of different approaches to generative modeling and show how each can be used to improve data analysis depending on the structure of available data and the depth of theoretical understanding. Throughout, we highlight the significance of ethnography and of collecting basic cultural and demographic information about study populations and call for more emphasis on logical and theory-driven workflows as part of science reform.

PMID:39556723 | DOI:10.1073/pnas.2322887121

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Nevin Manimala Statistics

An Online Resource for Monitoring 24-Hour Activity in Children and Adolescents: Observational Analysis

JMIR Pediatr Parent. 2024 Nov 18;7:e59283. doi: 10.2196/59283.

ABSTRACT

BACKGROUND: The Singapore integrated 24-hour activity guide for children and adolescents was introduced to promote healthy lifestyle behaviors, including physical activity, sedentary behavior, sleep, and diet, to enhance metabolic health and prevent noncommunicable diseases. To support the dissemination and implementation of these recommendations, a user-friendly online resource was created to help children and adolescents adopt these behaviors in Singapore.

OBJECTIVE: This study aimed to assess the acceptability of the online resource in the adoption of healthier lifestyle behaviors, and the change in the users’ behaviors with the use of this online resource.

METHODS: Participants aged 7-17 years were required to log their activity levels of the past 7 days at the beginning and at the end of a 3-month period using the browser-based online resource, including information on the duration and frequency of moderate- to vigorous-intensity physical activity (MVPA), length of sedentary behavior, duration and regularity of sleep, and food portions. User satisfaction, on the length, ease of use, and relevance of the online resource, was also recorded using a 10-point Likert scale. Descriptive statistics and statistical analyses, including the Wilcoxon signed rank test and McNemar test, were carried out at baseline and at the end of 3 months.

RESULTS: A total of 46 participants were included for analysis. For physical activity, the number of days of MVPA increased from a median of 3 (IQR 2-5) days to 4 (IQR 2-5) days (P=.01). For sedentary behavior, the median daily average screen time decreased from 106 (IQR 60-142.5) minutes to 90 (IQR 60-185) minutes. For sleep, 10% (5/46) more participants met the recommended duration, and the number of days with regular sleep increased from a median of 6 (IQR 5-7) days to 7 (IQR 5-7) days (P=.03). For diet, there was a decrease in the portion of carbohydrates consumed from a median of 42% (IQR 30-50) to 40% (IQR 30-48.5; P=.03), and the number of days of water and unsweetened beverage consumption remained stable at a median of 5 days but with a higher IQR of 4-7 days (P=.04). About 90% (39-41/46) of the participants reported that the online resource was relevant and easy to use, and the rating for user satisfaction remained favorable at a median of 8 with a higher IQR of 7-9 (P=.005).

CONCLUSIONS: The findings support the development of a dedicated online resource to assist the implementation of healthy lifestyle behaviors based on the Singapore integrated 24-hour activity guide for children and adolescents. This resource received favorable ratings and its use showed the adoption of healthier behaviors, including increased physical activity and sleep, as well as decreased sedentary time and carbohydrate consumption, at the end of a 3-month period.

PMID:39556715 | DOI:10.2196/59283

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Nevin Manimala Statistics

Low-Density Lipoprotein Cholesterol Level Distributions Across Different Ages: Implications for Screening Children for Severe and Familial Hypercholesterolemia

Circulation. 2024 Nov 19;150(21):1741-1744. doi: 10.1161/CIRCULATIONAHA.124.069792. Epub 2024 Nov 18.

NO ABSTRACT

PMID:39556651 | DOI:10.1161/CIRCULATIONAHA.124.069792

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Nevin Manimala Statistics

Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information

PLoS Comput Biol. 2024 Nov 18;20(11):e1012606. doi: 10.1371/journal.pcbi.1012606. Online ahead of print.

ABSTRACT

The time-resolved scRNA-seq (tscRNA-seq) provides the possibility to infer physically meaningful kinetic parameters, e.g., the transcription, splicing or RNA degradation rate constants with correct magnitudes, and RNA velocities by incorporating temporal information. Previous approaches utilizing the deterministic dynamics and steady-state assumption on gene expression states are insufficient to achieve favorable results for the data involving transient process. We present a dynamical approach, Storm (Stochastic models of RNA metabolic-labeling), to overcome these limitations by solving stochastic differential equations of gene expression dynamics. The derivation reveals that the new mRNA sequencing data obeys different types of cell-specific Poisson distributions when jointly considering both biological and cell-specific technical noise. Storm deals with measured counts data directly and extends the RNA velocity methodology based on metabolic labeling scRNA-seq data to transient stochastic systems. Furthermore, we relax the constant parameter assumption over genes/cells to obtain gene-cell-specific transcription/splicing rates and gene-specific degradation rates, thus revealing time-dependent and cell-state-specific transcriptional regulations. Storm will facilitate the study of the statistical properties of tscRNA-seq data, eventually advancing our understanding of the dynamic transcription regulation during development and disease.

PMID:39556617 | DOI:10.1371/journal.pcbi.1012606

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Nevin Manimala Statistics

SARS-CoV-2 surveillance in US wastewater: Leading indicators and data variability analysis in 2023-2024

PLoS One. 2024 Nov 18;19(11):e0313927. doi: 10.1371/journal.pone.0313927. eCollection 2024.

ABSTRACT

Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus disease 2019 (COVID-19) epidemic in the United States during 2023-2024 using wastewater data from 189 wastewater treatment plants in 40 states and the District of Columbia. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and pepper-mild mottle virus normalized SARS-CoV-2 RNA concentration data were compared with COVID-19 hospitalization admission data at both national and state levels. We further investigate temporal features in wastewater viral RNA abundance, with peak timing and cross-correlation lag analyses indicating that wastewater SARS-CoV-2 RNA concentrations precede hospitalization admissions by 2 to 12 days. Lastly, we demonstrate that wastewater treatment plant size has a significant effect on the variability of measured SARS-CoV-2 RNA concentrations. This study highlights the effectiveness of WBE as a non-invasive, timely and resource-efficient disease monitoring strategy, especially in the context of declining COVID-19 clinical reporting.

PMID:39556598 | DOI:10.1371/journal.pone.0313927

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Nevin Manimala Statistics

Phenotype selection due to mutational robustness

PLoS One. 2024 Nov 18;19(11):e0311058. doi: 10.1371/journal.pone.0311058. eCollection 2024.

ABSTRACT

The mutation-selection mechanism of Darwinian evolution gives rise not only to adaptation to environmental conditions but also to the enhancement of robustness against mutations. When two or more phenotypes have the same fitness value, the robustness distribution for different phenotypes can vary. Thus, we expect that some phenotypes are favored in evolution and that some are hardly selected because of a selection bias for mutational robustness. In this study, we investigated this selection bias for phenotypes in a model of gene regulatory networks (GRNs) using numerical simulations. The model had one input gene accepting a signal from the outside and one output gene producing a target protein, and the fitness was high if the output for the full signal was much higher than that for no signal. The model exhibited three types of responses to changes in the input signal: monostable, toggle switch, and one-way switch. We regarded these three response types as three distinguishable phenotypes. We constructed a randomly generated set of GRNs using the multicanonical Monte Carlo method originally developed in statistical physics and compared it to the outcomes of evolutionary simulations. One-way switches were strongly suppressed during evolution because of their lack of mutational robustness. By examining one-way switch GRNs in detail, we found that mutationally robust GRNs obtained by evolutionary simulations and non-robust GRNs obtained by McMC have different network structures. While robust GRNs have a common core motif, non-robust GRNs lack this motif. The bistability of non-robust GRNs is considered to be realized cooperatively by many genes, and these cooperative genotypes have been suppressed by evolution.

PMID:39556585 | DOI:10.1371/journal.pone.0311058

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Nevin Manimala Statistics

Perceived work-related stress and associated factors among the surgical workforce in a Nigerian tertiary health facility: A cross-sectional study

PLOS Glob Public Health. 2024 Nov 18;4(11):e0003959. doi: 10.1371/journal.pgph.0003959. eCollection 2024.

ABSTRACT

Healthcare workers continue to experience high levels of work-related stress which continue to negatively affect their psychological, physical, and emotional well-being. This is even more prevalent among healthcare workers who work in surgical specialities, with the surgical operation room becoming a known stressor at hospitals. This study aims to assess work-related stress among surgical team members at Ahmadu Bello University Teaching Hospital in Zaria between January 2021-2022. Data analysis involved descriptive and inferential statistical approaches using the Statistical Package for Social Science (SPSS) version 23.0. The study found an overall high prevalence of work-related stress, with 65% of participants reporting moderate levels of stress. The majority of the participants have a mean age of 39.4 ± 7.8 years, most of them being physicians (66.3%), being males (59.9%), and identified with a Hausa ethnic tribe. Notably, the multiple regression analysis found that tribe (p = 0.008), professional cadres (p = 0.001) and age/years of experience (p = 0.0035) emerged as significant predictors of work-related stress. Key determinants of work-related stress among surgical team members include workload, complexity of work, and conflicting cognitive job demands that continue to subject professionals to increasing workloads and constant decision-making about their job. Organizational factors, such as job policy and procedure, communication problems, and the nature of facilities, were identified as the highest contributors to work-related stress in organizational, interpersonal, and physical/environmental dimensions. The findings lead to the conclusion that a considerable proportion of surgical team members experience a relatively high level of work-related stress, primarily attributed to workload and cognitive demands. In light of these results, urgent efforts are recommended to improve the working conditions and environment for surgical team members. Furthermore, the integration of stress management measures into the educational programs for the surgical team is emphasized to effectively address and mitigate the impact of work-related stress.

PMID:39556579 | DOI:10.1371/journal.pgph.0003959

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Nevin Manimala Statistics

Testing for reviewer anchoring in peer review: A randomized controlled trial

PLoS One. 2024 Nov 18;19(11):e0301111. doi: 10.1371/journal.pone.0301111. eCollection 2024.

ABSTRACT

OBJECTIVE: Peer review frequently follows a process where reviewers first provide initial reviews, authors respond to these reviews, then reviewers update their reviews based on the authors’ response. There is mixed evidence regarding whether this process is useful, including frequent anecdotal complaints that reviewers insufficiently update their scores. In this study, we aim to investigate whether reviewers anchor to their original scores when updating their reviews, which serves as a potential explanation for the lack of updates in reviewer scores.

DESIGN: We design a novel randomized controlled trial to test if reviewers exhibit anchoring. In the experimental condition, participants initially see a flawed version of a paper that is corrected after they submit their initial review, while in the control condition, participants only see the correct version. We take various measures to ensure that in the absence of anchoring, reviewers in the experimental group should revise their scores to be identically distributed to the scores from the control group. Furthermore, we construct the reviewed paper to maximize the difference between the flawed and corrected versions, and employ deception to hide the true experiment purpose.

RESULTS: Our randomized controlled trial consists of 108 researchers as participants. First, we find that our intervention was successful at creating a difference in perceived paper quality between the flawed and corrected versions: Using a permutation test with the Mann-Whitney U statistic, we find that the experimental group’s initial scores are lower than the control group’s scores in both the Evaluation category (Vargha-Delaney A = 0.64, p = 0.0096) and Overall score (A = 0.59, p = 0.058). Next, we test for anchoring by comparing the experimental group’s revised scores with the control group’s scores. We find no significant evidence of anchoring in either the Overall (A = 0.50, p = 0.61) or Evaluation category (A = 0.49, p = 0.61). The Mann-Whitney U represents the number of individual pairwise comparisons across groups in which the value from the specified group is stochastically greater, while the Vargha-Delaney A is the normalized version in [0, 1].

PMID:39556577 | DOI:10.1371/journal.pone.0301111