We have performed extensive Monte Carlo simulations in the canonical (NVT) ensemble of the pair correlation function for square-well fluids with well widths lambda-1 ranging from 0.1 to 1.0, in units of the diameter sigma of the particles. For each one of these widths, several densities rho and temperatures T in the ranges 0.1< or =rhosigma(3)< or =0.8 and T(c)(lambda) less or approximately T less or approximately 3T(c)(lambda), where T(c)(lambda) is the critical temperature, have been considered. The simulation data are used to examine the performance of two analytical theories in predicting the structure of these fluids: the perturbation theory proposed by Tang and Lu [Y. Tang and B. C.-Y. Lu, J. Chem. Phys. 100, 3079 (1994); 100, 6665 (1994)] and the nonperturbative model proposed by two of us [S. B. Yuste and A. Santos, J. Chem. Phys. 101 2355 (1994)]. It is observed that both theories complement each other, as the latter theory works well for short ranges and/or moderate densities, while the former theory works for long ranges and high densities.
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Bull Math Biol
January 2025
School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, 2006, Australia.
Compared to our closest primate relatives, human life history involves greater longevity, which includes a distinctive postmenopausal life stage. Given mammalian reproductive physiology in which females build a finite stock of cells that can become oocytes early in life, which then continuously deplete mostly through cell death while males produce new sperm throughout adulthood, the postmenopausal stage makes the sex ratio in the fertile pool, called the adult sex ratio (ASR), male biased. Additionally, this affects a more fine-grained ratio, the operational sex ratio (OSR), defined as the ratio of males to females currently able to conceive.
View Article and Find Full Text PDFGene
January 2025
Department of Botany, Mohanlal Sukhadia University, Udaipur 313001, Rajasthan, India. Electronic address:
Calligonum polygonoides, an endangered species of desert due to poor regeneration and overexploitation, which requires immediate conservation attention. Genetic diversity analysis is crucial for effective conservation and management initiatives, for elite genotypes. Therefore, in the present study, SCoT (start codon target) and ISSR (inter simple sequence repeat) markers were used to investigate the genetic variability in 120 individuals of Calligonum polygonoides.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biology, Middlebury College, Middlebury, Vermont, United States of America.
Molybdenum blue colorimetry (MBC) is the dominant, well-established method used for determining total P in environmental media, including in organismal tissues. However, other elemental methods for P determination are available, including inductively coupled plasma mass spectrometry (ICP-MS). Given the extensive literature using MBC to determine P in organismal samples, it is important to assess P analyses by ICP-MS and MBC to ensure that the two methods produce comparable data.
View Article and Find Full Text PDFSoft Matter
January 2025
Department of Physics, Kyoto University, Kyoto 606-8502, Japan.
This study explores the influence of charge distribution and molecular shape on the stability of ferroelectric nematic liquid crystalline phases through atomistic simulations of DIO molecules. We demonstrate the role of dipole-dipole interactions and molecular shape in achieving polar ordering by simulating charged and chargeless topologies, and analysing positional and orientational pair-distribution functions. The charged DIO molecules exhibit head-to-tail and side-by-side parallel alignments conducive to long-range polar order, whereas the chargeless molecules show no polar ordering.
View Article and Find Full Text PDFBMC Genomics
January 2025
Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, 30332, Georgia, USA.
The interaction relationship between miRNAs and genes is important as miRNAs play a crucial role in regulating gene expression. In the literature, several databases have been constructed to curate known miRNA target genes, which are valuable resources but likely only represent a small fraction of all miRNA-gene interactions. In this study, we constructed machine learning models to predict miRNA target genes that have not been previously reported.
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