We present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size. The obtained results are based on computational methodologies, which involve combining coalescence time scale changes with techniques of integral transformations and using analytical formulae for infinite products. We show applications of the proposed methodologies for computing probability distributions of times in the coalescence tree and their limits, for evaluation of accuracy of approximate expressions for times in the coalescence tree and expected allele frequencies, and for analysis of large human mitochondrial DNA dataset.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295683 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170701 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Real-time visualisation of fast nanoscale processes during liquid reagent mixing by liquid cell transmission electron microscopy.
Commun Chem
January 2025
Department of Materials Science and Metallurgical Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, India.
Liquid cell transmission electron microscopy (LCTEM) is a powerful technique for investigating crystallisation dynamics with nanometre spatial resolution. However, probing phenomena occurring in liquids while mixing two precursor solutions has proven extremely challenging, requiring sophisticated liquid cell designs. Here, we demonstrate that introducing and withdrawing solvents in sequence makes it possible to maintain optimal imaging conditions while mixing liquids in a commercial liquid cell.
View Article and Find Full Text PDFIsles of autonomy: the rise of intelligent technologies.
Ergonomics
January 2025
Department of Psychology, and Institute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
A critical metaphor for the development, implementation and penetration of autonomous machine systems into the world of human work is presented. Most especially, the ' concept is articulated which argues that the expropriation of human pre-eminence will be marked by a series of threshold events, some of which are, even now becoming evident. In particular, it indicates that there will be a watershed event in which differing and distinct expressions of applied autonomous systems will spontaneously coalesce to produce an emergent, general artificial intelligence.
View Article and Find Full Text PDFOptimization of protocol for analysis of dicarboxylic acids in ambient aerosol samples using GC-MS: method comparison and application.
Environ Monit Assess
January 2025
Department of Civil Engineering, APTL, Centre for Environmental Science and Engineering (CESE), IIT Kanpur, Kanpur, 208016, UP, India.
Dicarboxylic acids (DCAs), with their deliquescence and hygroscopic nature, can function as cloud condensation nuclei (CCN) and ice nuclei (IN), affecting rainfall patterns. DCA analysis can serve as organic molecular markers for anthropogenic and biogenic sources. Very few studies deal with the optimization of the protocol for qualitative and quantitative analysis of DCAs using gas chromatography-mass spectrometry (GC-MS).
View Article and Find Full Text PDFObservation of quantum strong Mpemba effect.
Nat Commun
January 2025
Institute for Quantum Science and Technology, College of Science, National University of Defense Technology, Changsha, China.
An ancient and counterintuitive phenomenon known as the Mpemba effect (water can cool faster when initially heated up) showcases the critical role of initial conditions in relaxation processes. How to realize and utilize this effect for speeding up relaxation is an important but challenging task in purely quantum system till now. Here, we experimentally study the strong Mpemba effect in a single trapped ion system in which an exponentially accelerated relaxation in time is observed by preparing an optimal quantum initial state with no excitation of the slowest decaying mode.
View Article and Find Full Text PDFHierarchical Self-Assembly of SnO Nanoparticles into Porous Microspheres: Exceptionally Selective Ammonia Sensing at Ambient.
ACS Appl Mater Interfaces
January 2025
Nanomaterials Laboratory, Department of Polymers and Functional Materials, CSIR-Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Hyderabad 500 007, India.
Herein, porous SnO microspheres in a three-dimensional (3D) hierarchical architecture were successfully synthesized via a facile hydrothermal route utilizing d-(+)-glucose and cetyltrimethylammonium bromide (CTAB), which act as reducing and structure-directing agents, respectively. Controlled adjustment of the CTAB to glucose mole ratio, reaction temperature, reaction time, and the calcination parameters all provided important clues toward optimizing the final morphologies of SnO with exceptional structural stability and reasonable monodispersity. Electron microscopy analysis revealed that microspheres formed were hierarchical self-assemblies of numerous primary SnO nanoparticles of ∼3-8 nm that coalesce together to form nearly monodispersed and ordered spherical structures of sizes in the range of 230-250 nm and are appreciably porous.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!