Phylogenetic Typology.
Ontology highlight
ABSTRACT:
SUBMITTER: Jager G
PROVIDER: S-EPMC8326798 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
In this article we propose a novel method to estimate the frequency distribution of linguistic variables while controlling for statistical non-independence due to shared ancestry. Unlike previous approaches, our technique uses all available data, from language families large and small as well as from isolates, while controlling for different degrees of relatedness on a continuous scale estimated from the data. Our approach involves three steps: First, distributions of phylogenies are inferred fr ...[more]
Similar Datasets
Project description:In the philosophy of medicine, great attention has been paid to defining disease, yet less attention has been paid to the classification of clinical conditions. These include conditions that look like diseases but are not; conditions that are diseases but that (currently) have no diagnostic criteria; and other types, including those relating to risk for disease. I present a typology of clinical conditions by examining factors important for characterizing clinical conditions. By attending to the types of clinical conditions possible on the basis of these key factors (symptomaticity, dysfunction, and the meeting of diagnostic criteria), I draw attention to how diseases and other clinical conditions as currently classified can be better categorized, highlighting the issues pertaining to certain typology categories. Through detailed analysis of a wide variety of clinical examples, including Alzheimer disease as a test case, I show how nosology, research, and decisions about diagnostic criteria should include normative as well as naturalistically describable factors.
| S-EPMC7243781 | biostudies-literature
Project description:Study objectivePrior research has collectively shown that endometriosis is inversely related to women's adiposity. The aim of this study was to assess whether this inverse relationship holds true by disease severity and typology.DesignCross-sectional study among women with no prior diagnosis of endometriosis.SettingFourteen clinical centers in Salt Lake City, UT, and San Francisco, CA.PatientsA total of 495 women (of which 473 were analyzed), aged 18-44 years, were enrolled in the operative cohort of the Endometriosis, Natural History, Diagnosis, and Outcomes (ENDO) Study.InterventionsGynecologic laparoscopy/laparotomy regardless of clinical indication.Measurements and main resultsParticipants underwent anthropometric assessments, body composition measurements, and evaluations of body fat distribution ratios before surgery. Surgeons completed a standardized operative report immediately after surgery to capture revised American Society for Reproductive Medicine staging (I-IV) and typology of disease (superficial endometriosis [SE], ovarian endometrioma [OE], and deep infiltrating endometriosis [DIE]). Linear mixed models, taking into account within-clinical-center correlation, were used to generate least square means (95% confidence intervals) to assess differences in adiposity measures by endometriosis stage (no endometriosis, I-IV) and typology (no endometriosis, SE, DIE, OE, OE + DIE) adjusting for age, race/ethnicity, and parity. Although most confidence intervals were wide and overlapping, 3 general impressions emerged: (1) women with incident endometriosis had the lowest anthropometric/body composition indicators compared with those without incident endometriosis, (2) women with stage I or IV endometriosis had lower indicators compared with women with stage II or III, and (3) women with OE and/or DIE tended to have the lowest indicators, whereas women with SE had the highest indicators.ConclusionOur research highlights that the relationship between women's adiposity and endometriosis severity and typology may be more complicated than prior research indicates.
| S-EPMC7343585 | biostudies-literature
Project description:ObjectivesCrop production is an important variable in social, economic and environmental analyses. There is an abundance of crop data available for the United States, but we lack a typology of county-level crop production that accounts for production similarities in counties across the country. We fill this gap with a county-level classification of crop production with ten mutually exclusive categories across the contiguous United States.Data descriptionTo create the typology we ran a cluster analysis on acreage data for 21 key crops from the United States Department of Agriculture's 2012 Agricultural Census. Prior to clustering, we estimated undisclosed county acreage values, controlled for acreage in other crop types, and removed counties with low agricultural production to produce proportional scores for each crop type in each county. We used proportional scores to control for the influence of county size in the cluster analysis and used internal and stability measures to validate the analysis. The final dataset features 2922 counties. Future research can leverage this typology as an input for county- or regional-level analysis.
| S-EPMC6716922 | biostudies-literature
Project description:BackgroundWe hypothesized that monitoring the volume of activity and overall performance indicators is not sufficient to understand the underlying differences between emergency departments. We aimed to understand the underlying common characteristics of emergency departments and map their typology in order to propose adaptive solutions, that would take into account territorial specificities and manage existing resources.MethodsWe applied a multifactorial analysis based on input data at three levels; 1) the health care available in the area surrounding the emergency departments, 2) the level of medical technicality of the hospitals and 3) the profile of emergency department visits.ResultsWe included 73 emergency departments in this study, representing 93.6% of the emergency departments in our region and seven groups were retained. The smallest group (n = 5) included both public and private structures with low volumes of activity. These medical structures were associated with the shortest length of stay and one of the lowest hospitalisation rates. The largest group (n = 21) included only public structures in peri-urban areas, which were associated with the highest rate of hospitalization in the region. The surrounding population was representative of the regional population, but the patients were older.ConclusionsThis approach represents a systemic response to target the organisational needs and constraints, propose appropriate solutions and adjust the financial resources allocated to hospitals. Future policies to improve care delivery may benefit from stratifying solutions and performance objectives depending on these groups.
| S-EPMC8180120 | biostudies-literature
Project description:BackgroundPersons with severe mental disorders (PSMD) form a highly heterogeneous group. Identifying subgroups sharing similar PSMD profiles may help to develop treatment plans and appropriate services for their needs. This study seeks to establish a PSMD typology by looking at individual characteristics and the amount and adequacy of help received.MethodsThe study recruited a sample of 352 persons located in south-western Montreal (Quebec, Canada). Cluster analysis was used to create a PSMD typology.ResultsAnalysis yielded five clusters: 1. highly functional older women with mood disorders, receiving little help from services; 2. middle-aged men with diverse mental disorders and alcohol abuse, receiving insufficient and inadequate help; 3. middle-aged women with serious needs, mood and personality disorders and suicidal tendencies, living in autonomous apartments, and receiving ample but inadequate help; 4. highly educated younger men with schizophrenia, living in autonomous apartments, and receiving adequate help; and 5. older poorly educated men with schizophrenia, living in supervised apartments, with ample help perceived as adequate. Marked differences were found between men and women, between users diagnosed with schizophrenia and others, and between persons living in supervised or autonomous apartments.ConclusionOur study highlights the existence of parallel subgroups among PSMD related to their socio-demographic status, clinical needs and service-use profiles, which could be used to focus more appropriate interventions. For mental health service planning, it demonstrates the relevance of focusing on individuals showing critical needs who are affected by multiple mental disorders (especially when associated with alcohol abuse), and often find help received as less adequate.
| S-EPMC3655095 | biostudies-literature
Project description:The reliability of a test score is discussed from the viewpoint of underestimation of and, specifically, deflation in estimates or reliability. Many widely used estimators are known to underestimate reliability. Empirical cases have shown that estimates by widely used estimators such as alpha, theta, omega, and rho may be deflated by up to 0.60 units of reliability or even more, with certain types of datasets. The reason for this radical deflation lies in the item-score correlation (Rit) embedded in the estimators: because the estimates by Rit are deflated when the number of categories in scales are far from each other, as is always the case with item and score, the estimates of reliability are deflated as well. A short-cut method to reach estimates closer to the true magnitude, new types of estimators, and deflation-corrected estimators of reliability (DCERs), are studied in the article. The empirical section is a study on the characteristics of combinations of DCERs formed by different bases for estimators (alpha, theta, omega, and rho), different alternative estimators of correlation as the linking factor between item and the score variable, and different conditions. Based on the simulation, an initial typology of the families of DCERs is presented: some estimators are better with binary items and some with polytomous items; some are better with small sample sizes and some with larger ones.
| S-EPMC9341485 | biostudies-literature
Project description:As the United Nations develops a post-2020 global biodiversity framework for the Convention on Biological Diversity, attention is focusing on how new goals and targets for ecosystem conservation might serve its vision of 'living in harmony with nature'1,2. Advancing dual imperatives to conserve biodiversity and sustain ecosystem services requires reliable and resilient generalizations and predictions about ecosystem responses to environmental change and management3. Ecosystems vary in their biota4, service provision5 and relative exposure to risks6, yet there is no globally consistent classification of ecosystems that reflects functional responses to change and management. This hampers progress on developing conservation targets and sustainability goals. Here we present the International Union for Conservation of Nature (IUCN) Global Ecosystem Typology, a conceptually robust, scalable, spatially explicit approach for generalizations and predictions about functions, biota, risks and management remedies across the entire biosphere. The outcome of a major cross-disciplinary collaboration, this novel framework places all of Earth's ecosystems into a unifying theoretical context to guide the transformation of ecosystem policy and management from global to local scales. This new information infrastructure will support knowledge transfer for ecosystem-specific management and restoration, globally standardized ecosystem risk assessments, natural capital accounting and progress on the post-2020 global biodiversity framework.
| S-EPMC9581774 | biostudies-literature
Project description:BackgroundMuch remains unknown about the phenomenology of bipolar I disorder.AimsTo determine the type of bipolar I mood episodes that occur over time, and their relative frequency.MethodA total of 219 individuals with Research Diagnostic Criteria bipolar I disorder were prospectively followed for up to 25 years (median 20 years). Psychopathology was assessed with the Longitudinal Interval Follow-up Evaluation.ResultsOverall, 1208 mood episodes were prospectively observed. The episodes were empirically classified as follows: major depression, 30.9% (n = 373); minor depression, 13.0% (n = 157); mania, 20.4% (n = 246); hypomania, 10.4% (n = 126); cycling, 17.3% (n = 210); cycling plus mixed state, 7.8% (n = 94); and mixed, 0.2% (n = 2).ConclusionsCycling episodes constituted 25% of all episodes. Work groups revising ICD-10 and DSM-IV should add a category for bipolar I cycling episode.
| S-EPMC2801829 | biostudies-literature
Project description:Coastal areas are urbanizing at unprecedented rates, particularly in low- and middle-income countries. Combinations of long-standing and emerging problems in these urban areas generate vulnerability for human well-being and ecosystems alike. This baseline study provides a spatially explicit global systematization of these problems into typical urban vulnerability profiles for the year 2000 using largely sub-national data. Using 11 indicator datasets for urban expansion, urban population growth, marginalization of poor populations, government effectiveness, exposures and damages to climate-related extreme events, low-lying settlement, and wetlands prevalence, a cluster analysis reveals a global typology of seven clearly distinguishable clusters, or urban profiles of vulnerability. Each profile is characterized by a specific data-value combination of indicators representing mechanisms that generate vulnerability. Using 21 studies for testing the plausibility, we identify seven key profile-based vulnerabilities for urban populations, which are relevant in the context of global urbanization, expansion, and climate change. We show which urban coasts are similar in this regard. Sensitivity and exposure to extreme climate-related events, and government effectiveness, are the most important factors for the huge asymmetries of vulnerability between profiles. Against the background of underlying global trends we propose entry points for profile-based vulnerability reduction. The study provides a baseline for further pattern analysis in the rapidly urbanizing coastal fringe as data availability increases. We propose to explore socio-ecologically similar coastal urban areas as a basis for sharing experience and vulnerability-reducing measures among them.
| S-EPMC6993965 | biostudies-literature
Project description:Reflexivity has emerged as a key concept in the field of health promotion (HP). Yet it remains unclear how diverse forms of reflexivity are specifically relevant to HP concerns, and how these "reflexivities" are interconnected. We argue that frameworks are needed to support more systematic integration of reflexivity in HP training and practice. In this article, we propose a typology of reflexivity in HP to facilitate the understanding of reflexivity in professional training. Drawing from key theories and models of reflexivity, this typology proposes three reflexive positions (ideal-types) with specific purposes for HP: reflexivity in, on, and underlying action. This article illustrates our typology's ideal-types with vignettes collected from HP actors working with reflexivity in North America and Europe. We suggest that our typology constitutes a conceptual device to organize and discuss a variety of experiences of engaging with reflexivity for HP. We propose the typology may support integrating reflexivity as a key feature in training a future cadre of health promoters and as a means for building a responsible HP practice.
| S-EPMC7298350 | biostudies-literature