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A recent chemical explosive test in P-Tunnel at the Nevada National Security Site, Nevada, USA, was conducted to better understand how signals propagate from explosions in the subsurface. A primary signal of interest is the migration of gases that can be used to differentiate chemical from nuclear explosions. Gas migration is highly dependent on the rock permeability which is notoriously difficult to determine experimentally in the field due to a potentially large dependence on the scale over which measurements are made. Here, we present pre-explosion permeability estimates to characterize the geologic units surrounding the recent test. Permeability measurements were made at three scales of increasing size: core samples (≈2 cm), borehole packer system tests (≈1 m), and a pre-shot cavity pressurization test (> 10 m) across ten tuff units. Permeability estimates based on core measurements showed little difference from borehole packer tests. However, permeability in most rock units calibrated from cavity pressurization tests resulted in higher permeability estimates by up to two orders of magnitude. Here, we demonstrate that the scale of the measurement significantly impacts the characterization efforts of hydraulic properties in volcanic tuff, and that local-scale measurements (< 10 m scale) do not incorporate enough heterogeneity to accurately predict field-scale flow and mass transport.
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http://dx.doi.org/10.1038/s41598-025-96835-5 | DOI Listing |
Magn Reson Med
September 2025
Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Purpose: Tracer kinetic models are used in arterial spin labeling (ASL); however, deciding which model parameters to fix or fit is not always trivial. The identifiability of the resultant system of equations is useful to consider, since it will likely impact parameter uncertainty. Here, we analyze the identifiability of two-compartment models used in multi-echo (ME) blood-brain-barrier (BBB)-ASL and evaluate the reliability of the fitted water-transfer rate ).
View Article and Find Full Text PDFACS Omega
September 2025
Centre of Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao SAR 999078, China.
Tyrosinase, a copper-dependent oxidase, plays a critical role in melanin biosynthesis and is a target in skin-whitening cosmetics. Conventional inhibitors like arbutin and kojic acid are widely used but suffer from cytotoxicity, instability, and inconsistent efficacy, highlighting the need for safer, more effective alternatives. In this study, two ligand-based machine learning models were developed: one to predict the biological activity of compounds and the other to estimate specific pIC values.
View Article and Find Full Text PDFMol Pharm
September 2025
Johnson & Johnson, Translational PK/PD & Investigational Toxicology, Spring House, Pennsylvania 19002, United States.
Human intestinal permeability is a key determinant of the oral fraction absorbed () of active pharmaceutical ingredients (APIs). This study evaluated the ability of an in-house canine Mdr1 (cMdr1) knockout (KO) Madin-Darby Canine Kidney (MDCK) cell line to correlate apparent permeability () with human small intestinal permeability (). values of 16 reference compounds with high, medium, or low permeabilities were measured in the in-house cMdr1 KO MDCK protocol under pH gradient (6.
View Article and Find Full Text PDFJ Adv Res
September 2025
State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology at Beijing, Beijing 100083, China. Electronic address:
Introduction: Accurate characterization of multi-size fractures in coal is crucial for estimating its transport properties. However, the extraction of narrow microfractures in 3D voxel-type CT images is difficult, which causes the loss of connectivity in the extracted fracture network and reduces the accuracy of the predicted transport properties.
Objectives: Improving the image quality and optimizing the segmentation process to deal with the inaccuracy of fracture extraction from coal CT images.
PLoS One
September 2025
Polytechnic Institute, Hebei Normal University, Shijiazhuang, China.
Accurately determining initial water saturation is essential for assessing reservoir resources and optimizing development, yet conventional J-function methods face challenges such as variability in curve fitting due to sample heterogeneity, less-than-optimal grouping schemes, and limited core sample availability. This study addressed these issues by analyzing 55 J-function curves from the N reservoir in Iraq's Zagros Basin, identifying permeability as the primary factor influencing curve shape. A novel classification method was developed, categorizing curves into power function and exponential function types based on permeability thresholds.
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