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Corresponding-states framework for classical and quantum fluids—Beyond Feynman–Hibbs
Effective potential methods, obtained by applying a quantum correction to a classical pair potential, are widely used for describing the thermophysical properties of fluids with mild nuclear quantum effects. In case of strong nuclear quantum effects, such as for liquid hydrogen and helium, the accuracy of these quantum corrections deteriorates significantly, but at present no simple alternatives are available. In this work, we solve this issue by developing a new, three-parameter corresponding-states principle that remains applicable in the regions of the phase diagram where quantum effects become significant. The new principle emerges from a mapping procedure, which shows that quantum-corrected pair potentials can be made conformal to their underlying classical pair potential by modifying the latter’s repulsive range. This mapping enables an accurate description of fluids with quantum-corrected interactions based on off-the-shelf methods for classical fluids (e.g., equations of state, classical density functional theory, and entropy scaling) using effective, mapped intermolecular-potential parameters. These effective parameters depend on temperature and molecular mass; simple analytic equations in case of a classical Mie potential with Feynman–Hibbs quantum corrections are presented. Using Mie Feynman–Hibbs force fields from the literature, we show that this procedure provides accurate predictions for the properties of fluids with mild nuclear quantum effects, such as neon or hydrogen at moderate temperatures. Moreover, by adjusting the functional form of the effective intermolecular-potential parameters to experimental data for helium and hydrogen, we are able to apply the corresponding-states principle for optimal quantum-corrected pair potentials that far surpass the accuracy of the Feynman–Hibbs correction.
The androgen clock is an epigenetic predictor of long-term male hormone exposure
Aging is a complex process characterized by biological decline and a wide range of molecular alterations to cells, including changes to DNA methylation. In this study, we used a male-specific epigenetic marker of aging to build an epigenetic predictor that measures long-term androgen exposure in sheep and mice (median absolute error of 4.3 and 1.4 mo, respectively). We term this predictor the androgen clock and show its “tick” is mediated by the androgen receptor and can be accelerated beyond that in normal male mice by supplementing females with dihydrotestosterone. Conversely, the removal of androgens by castration in sheep completely halted the androgen clock. In addition to potential applications in medicine and agriculture, we predict the androgen clock will prove a useful model to understand the mechanisms and processes of age-associated DNA methylation change because it can be precisely enhanced and halted using small molecule manipulation with few additional effects on the cell.
Cavity correlations and the onset of charge ordering at charged interfaces: A modified Poisson–Fermi approach
Charge layering in the close vicinity of charged interfaces is a well-known effect, extensively reported in both experiments and simulations of Room Temperature Ionic Liquids (RTILs) and concentrated electrolytes. The traditional Poisson–Fermi (PF) theory is able to successfully describe overcrowding effects but fails to reproduce charge ordering even in strong coupling regimes. Simple models, yet capable of investigating the interplay between these important interfacial phenomena, are still lacking. In order to bridge this gap, we herein present a modified PF approach that is able to capture layering effects in strong coupling regimes typical of RTIL. The modification is based on the introduction of charge cavities around test-particles, which simply extend the exclusion volume effects to also incorporate the accompanying depletion of charges due to particle insertion. The addition of this simple ingredient is shown to reproduce overscreening and charge ordering, thereby extending the predictive power of the PF approach to strong coupling regimes. Using a linear response theory, we were able to study the emergence of charge ordering based on two characteristic lengths: a wavelength responsible for charge layering, along with a damping length that screens charge oscillations. At large ionic strengths and strong couplings, the system undergoes a transition to undamped charge layering. The transition takes place when the poles of the Fourier components of the linear potential become real-valued. This criterion allows one to identify the transition line across the parameter space, thus delimiting the region of stability against unscreened charge ordering.
Polarization resolved second harmonic scattering of neat water in the right angle and forward scattering geometries
Liquid water still remains an ubiquitous liquid whose molecular organization requires careful investigation. In this work, we present a study of the second harmonic scattering (SHS) intensity for two different scattering angles, namely, the forward and the right angle geometries. This method performed at optical wavelengths is indeed selective toward long correlation lengths. A polarization analysis demonstrates that it is then possible to clearly evidence a coherent component to the total SHS intensity using a fast Fourier transform analysis of the SHS intensity as a function of the fundamental angle of polarization despite its weak relative contribution. A model is then derived based on the rotational invariants to fully unravel the different contributions to the SHS intensity for the two right angle and forward angles of scattering as well as the dependence with the fundamental beam polarization angle. This model fully supports the experimental results, further confirming an azimuthal geometry of the water–water orientational correlation function in neat water.
Shifting equilibria in a warming boreal forest
2D Raman-THz spectroscopy of imidazolium-based ionic liquids
An investigation of the low-frequency (i.e., less than 5 THz), inter-molecular dynamics of three imidazolium-based ionic liquids—1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ([C4mim][NTf2]), 1-butyl-3-methylimidazolium dicyanamide ([C4mim][DCA]), and 1-ethyl-3-methylimidazolium dicyanamide ([C2mim][DCA])—is presented using two-dimensional (2D) Raman-THz spectroscopy combined with molecular dynamics (MD) simulations. By observing an echo in the 2D Raman-THz response, the experimental results indicate that the substitution of a small [DCA]− anion with a larger [NTf2]− one leads to a substantial increase in the structural inhomogeneity of the low-frequency modes of the system. These findings are corroborated by MD simulations, comparing the experimentally observed echo decay times to those of a computed velocity echo. The comparison suggests that the echo decay time reflects the instantaneous amount of structural order related to the charge alternation network, which is enhanced for the ionic liquid with the larger anion.
State shifts in the deep Critical Zone drive landscape evolution in volcanic terrains
Volcanic provinces are among the most active but least well understood landscapes on Earth. Here, we show that the central Cascade arc, USA, exhibits systematic spatial covariation of topography and hydrology that are linked to aging volcanic bedrock, suggesting systematic controls on landscape evolution. At the Cascade crest, a locus of Quaternary volcanism, water circulates deeply through the upper ∼ 1 km of crust but transitions to shallow and dominantly horizontal flow as rocks age away from the arc front. We argue that this spatial pattern reflects a temporal state shift in the deep Critical Zone. Chemical weathering at depth, surface particulate deposition, and tectonic forcing drive landscapes away from an initial state with minimal topographic dissection, large vertical hydraulic conductivity, abundant lakes, and muted hydrographs toward a state of deep fluvial dissection, small vertical hydraulic conductivity, few lakes, and flashy hydrographs. This state shift has major implications for regional water resources. Drill hole temperature profiles imply at least 81 km 3 of active groundwater currently stored at the Cascade Range crest, with discharge variability a strong function of bedrock age. Deeply circulating groundwater also impacts volcanism, and Holocene High Cascades eruptions reflect explosive magma–water interactions that increase regional volcanic hazard potential. We propose that a Critical Zone state shift drives volcanic landscape evolution in wet climates and represents a framework for understanding interconnected solid earth dynamics and climate in these terrains.
A Latent Cardiomyocyte Regeneration Potential in Human Heart Disease
BACKGROUND: Cardiomyocytes in the adult human heart show a regenerative capacity, with an annual renewal rate of ≈0.5%. Whether this regenerative capacity of human cardiomyocytes is employed in heart failure has been controversial. METHODS: We determined cardiomyocyte renewal in 52 patients with advanced heart failure, 28 of whom received left ventricular assist device support. We measured the concentration of nuclear bomb test–derived 14 C in cardiomyocyte genomic DNA and performed mathematical modeling to establish cardiomyocyte renewal in heart failure with and without LVAD unloading. RESULTS: We show that cardiomyocyte generation is minimal in end-stage heart failure patients at rates 18 to 50× lower compared with the healthy heart. However, patients receiving left ventricle support device therapy, who showed significant functional and structural cardiac improvement, had a >6-fold increase in cardiomyocyte renewal relative to the healthy heart. CONCLUSIONS: Our findings reveal a substantial cardiomyocyte regeneration potential in human heart disease, which could be exploited therapeutically.
Nanoscale water behavior and its impact on adsorption: A case study with CNTs and diclofenac
Water is a fundamental component of life, playing a critical role in regulating metabolic processes and facilitating the dissolution and transport of essential molecules. However, emerging contaminants, such as pharmaceuticals, pose significant challenges to water quality and safety. Nanomaterial-based technologies emerge as a promising solution for removing those contaminants from water. Nevertheless, interfacial water plays a major role in the adsorption of chemical compounds in nanomaterials—as it plays in biological processes such as protein folding, enzyme activity, and drug delivery. To understand this role, in this study, we employ molecular dynamics simulations to explore the adsorption dynamics of potassium diclofenac on single-walled carbon nanotubes (SWCNTs) and double-walled carbon nanotubes (DWCNTs), considering both dry and wet conditions. Our findings reveal that the structuring of water molecules around CNTs creates hydration layers that significantly influence the accessibility of active sites and the interaction strength between contaminants and adsorbents. Our analysis indicates higher energy barriers for adsorption in DWCNTs compared to SWCNTs, which is attributed to stronger water–surface interactions. This research highlights the importance of understanding nanoscale water behavior for optimizing the design and functionality of nanomaterials for water purification. These findings can guide the development of more efficient and selective nanomaterials, enhancing contaminant removal and ensuring safer water resources while contributing to a deeper understanding of fundamental biological interactions.
Visual pigments underlie the sensitivity difference between day and night vision
Correction to: Comparative Cardiovascular Effectiveness of Empagliflozin Versus Dapagliflozin in Adults With Treated Type 2 Diabetes: A Target Trial Emulation
Enhancing the accuracy of XPS calculations: Exploring hybrid basis set schemes for CVS-EOMIP-CCSD calculations
Reliable computational methodologies and basis sets for modeling x-ray spectra are essential for extracting and interpreting electronic and structural information from experimental x-ray spectra. In particular, the trade-off between numerical accuracy and computational cost due to the size of the basis set is a major challenge, since molecular orbitals undergo extreme relaxation in the core-hole state. To gain clarity on the changes in electronic structure induced by the formation of a core-hole, the use of sufficiently flexible basis for expanding the orbitals, particularly for the core region, has been shown to be essential. This work focuses on the refinement of core-hole ionized state calculations using the equation-of-motion coupled cluster family of methods through an extensive analysis on the effectiveness of “hybrid” and mixed basis sets. In this investigation, we utilize the CVS-EOMIP-CCSD method in combination and construct hybrid basis sets piecewise from readily available Dunning’s correlation consistent basis sets in order to calculate x-ray ionization energies (IEs) for a set of small gas phase molecules. Our results provide insights into the impact of basis sets on the CVS-EOMIP-CCSD calculations of K-edge IEs of first-row p-block elements. These insights enable us to understand more about the basis set dependence of the core IEs computed and allow us to establish a protocol for deriving reliable and cost-effective theoretical estimates for computing IEs of small molecules containing such elements.
Resolving electrochemically triggered topological defect dynamics and structural degradation in layered oxides
Understanding topological defects-controlled structural degradation of layered oxides—a key cathode material for high-performance lithium-ion batteries—plays a critical role in developing next-generation cathode materials. Here, by constructing a nanobattery in an electron microscope enabling atomic-scale monitoring of electrochemcial reactions, we captured the electrochemically driven atomistic dynamics and evolution of dislocations—a most important topological defect in material. We deciphered how dislocations nucleate, move, and annihilate within layered cathodes at the atomic scale. Specifically, we found two types of dislocation configurations, i.e., single dislocations and dislocation dipoles. Both pure dislocation glide/climb and mixed motions were captured, and the dislocation glide and climb velocities were first experimentally measured. Moreover, dislocation activity-mediated structural degradation such as crack nucleation, phase transformation, and lattice reorientation was unraveled. Our work provides deep insights into the atomistic dynamics of electrochemically driven dislocation activities in layered oxides.
SGLT Inhibitors in Persons With Heart Failure and Type 1 Diabetes: Filling the Therapeutic Gap
Correction to: Risk of Stroke or Systemic Embolism According to Baseline Frequency and Duration of Subclinical Atrial Fibrillation: Insights From the ARTESiA Trial
Structural determinants of oxygen resistance and Zn <sup>2+</sup> -mediated stability of the [FeFe]-hydrogenase from <i>Clostridium beijerinckii</i>
[FeFe]-hydrogenases catalyze the reversible two-electron reduction of two protons to molecular hydrogen. Although these enzymes are among the most efficient H 2 -converting biocatalysts in nature, their catalytic cofactor (termed H-cluster) is irreversibly destroyed upon contact with dioxygen. The [FeFe]-hydrogenase CbA5H from Clostridium beijerinckii has a unique mechanism to protect the H-cluster from oxygen-induced degradation. The protective strategy of CbA5H was proposed based on a partial protein structure of CbA5H’s oxygen-shielded form. Here, we present a cryo-EM structure of 2.2 Å resolution from the entire enzyme in its dimeric and active state and elucidate the structural parameters of the reversible cofactor protection mechanism. We found that both subunits of the homodimeric structure of CbA5H have a Zn 2+ -binding four-helix domain, which does not play a role in electron transport as described for other complex protein structures. Biochemical data instead confirm that two [4Fe-4S] clusters are responsible for electron transfer in CbA5H, while the identified zinc atom is critical for oligomerization and protein stability.
Fractional Flow Reserve and Instantaneous Wave-Free Ratio as Predictors of the Placebo-Controlled Response to Percutaneous Coronary Intervention in Stable Coronary Artery Disease
BACKGROUND: ORBITA-2 (the Placebo-Controlled Trial of Percutaneous Coronary Intervention for the Relief of Stable Angina) provided evidence for the role of percutaneous coronary intervention (PCI) for angina relief in stable coronary artery disease. Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) are often used to guide PCI; however, their ability to predict placebo-controlled angina improvement is unknown. METHODS: Participants with angina, ischemia, and stable coronary artery disease were enrolled, and anti-anginal medications were stopped. Participants reported angina episodes daily for 2 weeks using the ORBITA smartphone symptom application (ORBITA-app). At the research angiogram, FFR and iFR were measured. After sedation and auditory isolation, participants were randomized to PCI or placebo before entering a 12-week blinded follow-up phase with daily angina reporting. The ability of FFR and iFR, analyzed as continuous variables, to predict the placebo-controlled effect of PCI was tested using Bayesian proportional odds modeling. RESULTS: Invasive physiology data were available for 279 patients (140 PCI and 139 placebo). The median (interquartile range) age was 65 years (59.0–70.5), and 223 (79.9%) were male. Median FFR was 0.60 (0.46–0.73), and median iFR was 0.76 (0.50–0.86). The lower the FFR or iFR, the greater the placebo-controlled improvement with PCI across all end points. There was strong evidence that a patient with an FFR at the lower quartile would have a greater placebo-controlled improvement in angina symptom score with PCI than a patient at the upper quartile (FFR, 0.46 versus 0.73: odds ratio, 2.01; 95% credible interval, 1.79–2.26; probability of interaction, >99.9%). Similarly, there was strong evidence that a patient with an iFR at the lower quartile would have greater placebo-controlled improvement in angina symptom score with PCI than a patient with an iFR at the upper quartile (iFR, 0.50 versus 0.86: odds ratio, 2.13; 95% credible interval, 1.87–2.45; probability of interaction, >99.9%). The relationship between benefit and physiology was seen in both Rose angina and Rose nonangina. CONCLUSIONS: Physiological stenosis severity, as measured by FFR and iFR, predicts placebo-controlled angina relief from PCI. Invasive coronary physiology can be used to target PCI to those patients who are most likely to experience benefit. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03742050.