This paper presents a panoramic macroscopic outlook of rank distributions. We establish a general framework for the analysis of rank distributions, which classifies them into five macroscopic "socioeconomic" states: monarchy, oligarchy-feudalism, criticality, socialism-capitalism, and communism. Oligarchy-feudalism is shown to be characterized by discrete macroscopic rank distributions, and socialism-capitalism is shown to be characterized by continuous macroscopic size distributions. Criticality is a transition state between oligarchy-feudalism and socialism-capitalism, which can manifest allometric scaling with multifractal spectra. Monarchy and communism are extreme forms of oligarchy-feudalism and socialism-capitalism, respectively, in which the intrinsic randomness vanishes. The general framework is applied to three different models of rank distributions-top-down, bottom-up, and global-and unveils each model's macroscopic universality and versatility. The global model yields a macroscopic classification of the generalized Zipf law, an omnipresent form of rank distributions observed across the sciences. An amalgamation of the three models establishes a universal rank-distribution explanation for the macroscopic emergence of a prevalent class of continuous size distributions, ones governed by unimodal densities with both Pareto and inverse-Pareto power-law tails.
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http://dx.doi.org/10.1103/PhysRevE.89.012111 | DOI Listing |
BMC Nurs
January 2025
Department of Nursing Science, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
Background: Nursing is a caring profession for which compassion is a core value. Increasing stress and declining job satisfaction are among the major challenges in nursing. Demographic and work-related factors may influence nurses' compassion satisfaction and compassion fatigue (i.
View Article and Find Full Text PDFMult Scler Relat Disord
January 2025
Multiple Sclerosis Center of Excellence West, Veterans Affairs, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, Washington, 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 9th Avenue, Seattle, Washington, 98104, USA. Electronic address:
Background/objective: Identifying research priorities of Veterans, MS researchers, and key stakeholders is critical to advance high-quality, evidence-based, and Veteran-specific MS care.
Methods: We used a modified Delphi approach to identify research priorities for Veterans with MS. Electronic surveys were distributed to Veterans with MS (n = 50,975), MS researchers (n = 191), VA healthcare providers (1,337), and funding agency representatives (n = 6) asking about their 2-3 most important research questions that would benefit Veterans with MS for researchers to answer in the next 5-10 years.
Pharmaceutics
December 2024
Department of Obstetrics and Gynecology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil.
: Fluoxetine (FLX) is the inhibitor of serotonin reuptake most prescribed in pregnant women with depression. This study evaluates the influence of gestational diabetes mellitus (GDM) on the enantioselective pharmacokinetics and transplacental distribution of FLX and its metabolite norfluoxetine (norFLX). : Ten pregnant women diagnosed with GDM (GDM group) were investigated in the third trimester of gestation after they achieved good glycemic control.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
Department of Epidemiology, ASL TO3, Via Martiri XXX Aprile 30, 10093 Collegno (Turin), Italy.
This paper presents the results of the human biomonitoring of ten urinary OH-PAHs (hydroxylated polycyclic aromatic hydrocarbon) in a cohort of workers at an incinerator in Turin, Italy. Long-term exposure was assessed through repeated measurements at three time points: before the startup (T0), after 1 year (T1), and after 3 years (T2). Paired data were available for 26 subjects, seven administrative workers (AWs) and 19 plant workers (PWs).
View Article and Find Full Text PDFStat Med
February 2025
Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
Clustered data are common in practice. Clustering arises when subjects are measured repeatedly, or subjects are nested in groups (e.g.
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