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Almost all helium is resourced from natural gas reservoirs. Hence, it is essential to develop new efficient technologies to recover helium from natural gas. In this work, we propose a novel dual membrane system, consisting of CN (M1) and graphdiyne (M2) membranes, to separate and purify helium from a ternary gas mixture of He/N/CH. In this regard, we performed molecular dynamics (MD) simulations to investigate the separation performance of the proposed system. Here, we explored the effect of applied pressure (up to 2 MPa) and the feed composition on the separation performance. The simulation results revealed that in the designed system, the M1 membrane allows He and N to diffuse through and prevents CH from crossing even at an applied pressure gradient. Next, the M2 membrane only allows He to transfer through and prevents N from crossing even at the applied pressure gradient. As a result, the dual membrane system showed a high He permeance of 2.5 × 10 GPU and ultrahigh He selectivity. In addition, the suggested dual membrane system could separate three components simultaneously at the applied pressure of 2 MPa, which implies the outstanding performance of the system. We also analyzed the density map, the van der Waals interactions, and the potential of the mean force calculations to better understand the permeation of gas species across the designed system.
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http://dx.doi.org/10.1039/d3cp04797k | DOI Listing |
J Eat Disord
September 2025
Center for Nutrition and Therapy (NuT), University of Applied Sciences Muenster, Corrensstraße 25, 48149, Muenster, Germany.
Eating disorders are primarily associated with women and an obsession with thinness. Recent research and social media content show that men are also concerned about their body image, striving for a muscular and athletic physique. To investigate eating disorder tendencies among male content creators with a mesomorphic body type (N = 26), a social media analysis was conducted on Instagram and TikTok over four weeks.
View Article and Find Full Text PDFJ Nephrol
September 2025
Department of Cardiovascular Sciences, University of Leicester, John Walls' Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Background: Individuals with kidney failure experience elevated cardiovascular risk, potentially worsened by the presence of sleep disordered breathing. Despite this association, prevalence of sleep apnoea, and evidence for effective treatments are poorly understood in people with kidney failure. This review examines sleep apnoea prevalence, types of sleep apnoea, and treatment interventions in people with kidney failure receiving dialysis.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Mechanical Engineering, Koc University, Rumeli Feneri Campus, Sarıyer, 34450, Istanbul, Turkey.
Purpose: The design and development of ventricular assist devices have heavily relied on computational tools, particularly computational fluid dynamics (CFD), since the early 2000s. However, traditional CFD-based optimization requires costly trial-and-error approaches involving multiple design cycles. This study aims to propose a more efficient VAD design and optimization framework that overcomes these limitations.
View Article and Find Full Text PDFZhonghua Jie He He Hu Xi Za Zhi
September 2025
Neuromuscular diseases are often accompanied by various types of sleep-related breathing disorders, which can exacerbate the underlying condition and are associated with a poor prognosis. Early identification is essential, and interventions such as non-invasive ventilation, oxygen therapy, and respiratory rehabilitation should be initiated promptly to mitigate disease progression and improve outcomes. Nevertheless, the rates of missed and misdiagnosed cases remain common in clinical practice.
View Article and Find Full Text PDFMed Eng Phys
October 2025
Department of Mechanical Engineering, University of Cape Town, 7701, South Africa; Centre for Research in Computational and Applied Mechanics (CERECAM), University of Cape Town, 7701, South Africa.
The usability and versatility of autoinjectors in managing chronic and autoimmune diseases have made them increasingly attractive in medicine. However, investigations into autoinjector designs require an understanding of the kinematic properties and fluid behaviour during injection. To optimise injection efficiency, this study develops a mathematical and computational fluid dynamics (CFD) model of an IM autoinjector by investigating the effects of viscosity, needle length, needle diameter, and medication volume on the injection process.
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