98%
921
2 minutes
20
The dependencies between characters used in phylogenetic analysis (e.g., inapplicabilities, functional dependencies) can be taken into account by using combinations of character states as possible ancestral morphotypes, and using appropriate rates of transformation between such morphotypes. As every morphotype represents a permissible combination of the original character states, this allows easily ruling out specific combinations of character states, and taking into account changes that are either less or more likely to co-occur, or to occur in certain contexts. For inapplicable characters, Goloboff et al. (2021) used morphotypes but proposed obtaining transition probabilities between morphotypes from products of transition probabilities of the original characters and factors to incorporate dependencies. The product of transition probabilities is shown here to be flawed (failing the time-continuity requirement of phylogenetic Markov models, essential for statistical consistency under the model). Tarasov (2023) used the same delimitation of morphotypes but proposed obtaining transition probabilities from rate matrices, synthesized in a stepwise fashion from the hierarchy of dependencies. This paper shows that the rate matrices can easily be created, instead of with a stepwise synthesis, from direct comparisons between legitimate morphotypes (as done by Goloboff and De Laet 2023 for parsimony). Based on a few simple rules, the resulting rate matrices are (for inapplicable characters) identical to those obtained by Tarasov (2023). Additionally, in the computer program TNT, biological dependencies beyond mere inapplicability can be specified by the user with a simple syntax for (combinations of) states in "parent" characters restricting the states that "child" characters can take, using AND and OR conjunctions for elaborate interactions. These researcher-defined rules are used to internally convert the original characters into morphotypes, discarding morphotypes made impossible by the rules. In the case of biological dependencies (where, depending on the parent characters, there can be restrictions in the states that dependent characters can take, instead of the character being inapplicable), the rates of transition between morphotypes cannot be calculated solely from comparisons of states differing in both morphotypes -consideration of the conditions of dependency is needed as well.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/sysbio/syaf051 | DOI Listing |
Inquiry
September 2025
Rice University, Houston, TX, USA.
To evaluate changes in enrollment, average risk scores, and premiums in the Affordable Care Act individual market after states transitioned from the federally facilitated marketplace (Healthcare.gov) to a state-based marketplace (SBM) between 2018 and 2023. This study employed a retrospective, quasi-experimental design of secondary data using a synthetic difference-in-differences analysis methodology.
View Article and Find Full Text PDFPLoS One
September 2025
Biaoxin Science & Technology (Beijing) Co., Ltd, Beijing, China.
This study examines China's national standard development from 2001 to 2023. Using machine splitting and location assignment technology, the Dagum Gini coefficient and its decomposition methods, and traditional and spatial Markov chain estimation methods, we identify the spatiotemporal disparities and dynamic transition characteristics of the contribution levels to national standard development across China's eight comprehensive economic zones. The findings provide a reference for promoting regional coordinated sustainable development and high-quality economic transformation.
View Article and Find Full Text PDFAge Ageing
August 2025
Department of Nursing Health Services Research, Graduate School of Health Care Sciences, Institute of Science Tokyo, Yushima, Bunkyo-ku, Tokyo, Japan.
Background: Little is known about how ambulatory care sensitive condition (ACSC)-related readmissions can be reduced in acute care settings.
Objective: This study examined the association between transitional care for hospitalised older patients with ACSC and ACSC-related readmissions.
Methods: This retrospective observational cohort study included patients aged 65 years and older admitted with ACSC as the primary diagnosis from 1 April 2022 to 31 January 2023, using linked data from the Diagnosis Procedure Combination and the medical functions of the hospital beds database.
Rheumatol Int
September 2025
Division of Rheumatology and Immunology, Department of PMR, , Sakarya University School of Medicine, Sakarya, Turkey.
To identify clinical and demographic predictors associated with the timing of transition from psoriasis (PsO) to psoriatic arthritis (PsA), and to compare the characteristics of patients with concurrent PsO-PsA onset versus those with prolonged transition. A multi-center, observational study was conducted using data from the Turkish League Against Rheumatism (TLAR) network including PsA patients fulfilling CASPAR criteria. Patients were categorized into two groups: Group 1 (concurrent PsO and PsA onset within ± 1 year) and Group 2 (prolonged transition to PsA, > 1 year after PsO).
View Article and Find Full Text PDFJ Addict Nurs
September 2025
Annika Norell, PhD, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden; Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden.
Background: Although there is substantial evidence of the negative impact of caffeine use on sleep quality, few studies focus specifically on adolescents' patterns of use. This study aimed to identify patterns of caffeine use among adolescents and analyze their association with sleep quality.
Method: A cross-sectional study was conducted in southern Sweden including 1,404 adolescents aged 15-17 (56.