Core Size Research Articles

Abstract 117: AIBP Deficiency Affects Inflammarafts Formation And Macrophage Reprogramming In Atherosclerosis

Background: Excessive accumulation of cholesterol in plasma membrane of vascular macrophages leads to formation of inflammarafts - large, cholesterol-rich lipid rafts hosting inflammatory receptors assemblies - and reprograms macrophages to facilitate hyperinflammatory responses. Removal of cholesterol from membrane and storage in intracellular lipid droplets reduces macrophage inflammatory status. Apolipoprotein A-I binding protein (AIBP) has been found to mediate selective cholesterol efflux and lipid raft dynamics regulation via binding to toll-like receptor-4 (TLR4) thus reducing inflammarafts in activated macrophages. However, the underlying mechanisms driving lipid raft dynamics changes of reprogrammed macrophages remain unclear. The objective of this study was to evaluate the effect of AIBP deficiency on inflammaraft formation and macrophage reprogramming, separately in macrophage foam cells and non-foamy macrophages. Methods: Single-cell suspensions from the aortae of 16-week high-fat diet-fed Apoa1bp -/- Ldlr -/- and Ldlr -/- mice were gated for BODIPY-high foamy and BODIPY-low non-foamy CD45 + F4/80 + macrophages by flow cytometry. Lipid droplets were assessed by BODIPY fluorescence and inflammarafts were characterized by increased levels of lipid rafts and TLR4 dimers. Transcriptome and chromatin accessibility were measured by RNA-seq and ATAC-seq. Plasma lipid levels and size of atherosclerotic lesions and necrotic cores at the aortic origin were measured using standard methods. Results: We found a larger number of foamy macrophages in Apoa1bp -/- Ldlr -/- mice, expressing significantly higher levels of lipid rafts and TLR4 dimers than those in Ldlr -/- mice. However, there were no inflammarafts differences between non-foamy macrophages in Apoa1bp -/- Ldlr -/- and Ldlr -/- mice. The inflammarafts measures were associated with plasma cholesterol levels and size of atherosclerotic lesions and necrotic cores. Inflammatory pathways were up-regulated in Apoa1bp -/- Ldlr -/- foamy macrophages, compared to Ldlr -/- mice. Conclusions: Our results suggest that AIBP helps reduce inflammarafts specifically in macrophage foam cells, rendering them less inflammatory as shown by transcriptomic and open chromatin analyses.

Effects of drive pulse shape on graded metal pushered single shell capsule implosions on the National Ignition Facility

Graded metal pushered single shells (PSS) are a viable alternative to low-Z capsules (Z is the atomic number) for indirect drive inertial confinement fusion implosions due to enhanced core tamping and radiation trapping, but they can be compromised by the pusher mixing with the fuel. We compare 2-shock and 3-shock laser pulses for Be/Cr PSS capsules filled with deuterium–tritium gas fuel at 6 mg/cc density. 1D radiation-hydrodynamic simulations predict higher core compression and, hence, ∼2× higher fusion yield for the 3-shock drive than for 2-shock. Nevertheless, we observe similar core ion temperatures and fusion yields for both drives. The implosion burn duration is 25% shorter and the core volume is ∼2.5× smaller for the 3-shock drive than for 2-shock, consistent with a higher compression. 1D LASNEX mix simulations using a buoyancy-drag model matching the measured yields also agree with the observed core sizes and burn durations and suggest ∼40% and ∼70% yield degradations for 2-shock and 3-shock drives due to hydrodynamic instabilities and atomic mix at the pusher–fuel interface. At the same time, 2D HYDRA simulations show that mid-mode (2–250) instability degradations are negligible for the 2-shock implosion (9%) and significant (45%) for 3-shock. Subtracting these from the 1D mix simulations, we infer similar degradations from high-mode instabilities and atomic mix for both drives. Due to its robustness to mid-mode instabilities, future pusher–gas mix studies will use the 2-shock drive.

Abstract 1033: Loss Of Serine Hydroxymethyltransferase 2 In Macrophages Blunts Glutathione And Enhances Ceramide Synthesis To Accelerate Atherosclerosis

Increasing evidence suggests an important role for amino acid metabolism in atherosclerotic cardiovascular disease (ASCVD), highlighting potential biomarkers, causative factors, and therapeutic targets. Among all amino acids, lower circulating glycine is consistently reported to be associated with enhanced ASCVD severity. The amino acid serine is the main precursor for glycine, and a lower glycine:serine ratio is associated with more advanced and unstable atherosclerotic plaques. The mitochondrial serine hydroxymethyltransferase 2 (SHMT2) catalyzes the bulk of glycine formation from serine, and is critical in development since global knockout mice are nonviable. We found that SHMT2 is highly expressed in macrophages in both human and mouse atherosclerotic plaques. LPS-treated macrophages displayed reduced SHMT2 expression concomitant with a lower intracellular glycine:serine ratio. To study the role of SHMT2 in macrophages, we developed novel myeloid-specific Shmt2 knockout mice ( Shmt2 MKO ). Metabolomics and stable isotope tracing studies revealed that macrophages lacking SHMT2 have a lower glycine:serine ratio leading to attenuated de novo synthesis of glutathione and enhanced formation of the ceramide precursor, sphinganine. Accordingly, the loss of SHMT2 in macrophages enhanced superoxide production and ceramide accumulation. To determine the role of macrophage SHMT2 in atherosclerosis, we crossed the Shmt2 MKO mice with apolipoprotein E-deficient ( Apoe -/- ) mice. After 12 weeks on Western diet, Shmt2 MKO / Apoe -/- mice showed no differences in plasma lipid or amino acid profiles as compared to Shmt2 flox / Apoe -/- mice. Nevertheless, plaque area and necrotic core size were significantly enhanced in Shmt2 MKO / Apoe -/- mice. Taken together, macrophage SHMT2 plays a critical role in atherosclerosis by regulating redox and ceramide metabolism.

Small multimodal thermometry with detonation-created multi-color centers in detonation nanodiamond

Detonation nanodiamond (DND) is the smallest class of diamond nanocrystal capable of hosting various color centers with a size akin to molecular pores. Their negatively charged nitrogen-vacancy center (NV−) is a versatile tool for sensing a wide range of physical and even chemical parameters at the nanoscale. The NV− is, therefore, attracting interest as the smallest quantum sensor in biological research. Nonetheless, recent NV− enhancement in DND has yet to yield sufficient fluorescence per particle, leading to efforts to incorporate other group-IV color centers into DND. An example is adding a silicon dopant to the explosive mixture to create negatively charged silicon-vacancy centers (SiV−). In this paper, we report on efficient observation (∼50% of randomly selected spots) of the characteristic optically detected magnetic resonance (ODMR) NV− signal in silicon-doped DND (Si-DND) subjected to boiling acid surface cleaning. The NV− concentration is estimated by continuous-wave electron spin resonance spectroscopy to be 0.35 ppm without the NV− enrichment process. A temperature sensitivity of 0.36K/Hz in an NV− ensemble inside an aggregate of Si-DND is achieved via the ODMR-based technique. Transmission electron microscopy survey reveals that the Si-DNDs core sizes are ∼11.2 nm, the smallest among the nanodiamond’s temperature sensitivity studies. Furthermore, temperature sensing using both SiV− (all-optical technique) and NV− (ODMR-based technique) in the same confocal volume is demonstrated, showing Si-DND’s multimodal temperature sensing capability. The results of the study thereby pave a path for multi-color and multimodal biosensors and for decoupling the detected electrical field and temperature effects on the NV− center.

Exploring Subsite Selectivity within Plasmodium vivax N-Myristoyltransferase Using Pyrazole-Derived Inhibitors.

N-myristoyltransferase (NMT) is a promising antimalarial drug target. Despite biochemical similarities between Plasmodium vivax and human NMTs, our recent research demonstrated that high selectivity is achievable. Herein, we report PvNMT-inhibiting compounds aimed at identifying novel mechanisms of selectivity. Various functional groups are appended to a pyrazole moiety in the inhibitor to target a pocket formed beneath the peptide binding cleft. The inhibitor core group polarity, lipophilicity, and size are also varied to probe the water structure near a channel. Selectivity index values range from 0.8 to 125.3. Cocrystal structures of two selective compounds, determined at 1.97 and 2.43 Å, show that extensions bind the targeted pocket but with different stabilities. A bulky naphthalene moiety introduced into the core binds next to instead of displacing protein-bound waters, causing a shift in the inhibitor position and expanding the binding site. Our structure-activity data provide a conceptual foundation for guiding future inhibitor optimizations.

Chymotrypsin etched ultrasmall gold nanoclusters for dual response diagnosis and deeply penetrated chemodynamic therapy of pancreatic cancer

Pancreatic cancer (PC) is a highly invisible malignancy for which the early diagnosis is crucial to achieve the best treatment outcome. Abnormalities in serum chymotrypsin (ChT) are commonly associated with the development of PC, suggesting its potential role as a novel biomarker candidate. Herein, we report a ChT-responsive ultrasmall apo catalase-stabilized gold nanoclusters (AuCATapo NCs, core size ∼2 nm) with remarkable fluorescence and peroxidase (POD)-like activity. It can achieve "fluorescence" and "colorimetric" dual detection of ChT, with a wide detection range (0 – 100 μg/mL) and a low detection limit (0.029 μg/mL). Additionally, the weak acidity (pH 6.2 – 6.8) in the tumor microenvironment can meet the optimal catalytic capacity of deeply penetrated AuCATapo NCs, which generates cytotoxic reactive oxygen species to cause thorough tumor damage effects. The ChT-cleaved AuCATapo NCs may expose more catalytic active sites, resulting in higher tumor cytotoxicity, as demonstrated in both in vitro and in vivo models. Generally, these NCs probes can simultaneously realize accurate detection of ChT and efficient pancreatic tumor ablation via nanozyme based catalytic therapy, opening up a new idea of "diagnosis and treatment integration" for PC.

MapReduce Algorithm on a Serverless Platform

Using the MapReduce (MR) programming technique, large-scale data processing tasks can be divided into tasks that are easier to manage and independent. The serverless implementation's performance is better than the non-serverless MR model when the model parameters are altered in the experiment. Optimizing the use of the MR model on the serverless platform can be achieved by taking into account the relationship between implementation efficiency and platform settings. Additionally, it can act as a source of inspiration for future serverless hardware support configurations. Also, the serverless platform demonstrates how it improves the effectiveness of resource utilization in machine learning training. The intended result can then be achieved by combining the results of these concurrently operating jobs on server clusters. This work adapts MR, a popular big data processing framework, to the serverless platform, emphasizing realization simulation principles and services, and then uses the results in a word count experiment. The experiment uses a word count of about eleven thousand words to evaluate how well MR is implemented on Alibaba Cloud. It is validated for execution time on the platform with varying Central Processing Unit (CPU) core counts, memory configurations, and worker counts. By testing several platform configurations, it is found that the memory configuration has very little impact on the model's execution time, while the size of the CPU core has a considerable impact on reaction time relative to the number of workers.

The construction of iron-based catalysts encapsulated by graphite for CO2 hydrogenation to light olefins

Developing efficient catalytic materials and unveiling the active factors are significant for selective hydrogenation of CO2 to light olefins (C2–4=). Herein, Fe3O4-FeCx nanoparticles coated by graphite without other doped elements were synthesized successfully. The optimal catalyst exhibited CO2 conversion of 48.0%, C2–4= space–time yield of 29.0 mmol·g−1·h−1, and a stability of 100 h (3.0 MPa, 320 °C, and GHSV = 12000 mL·g−1·h−1). The core–shell structure derived from the strong interaction between the phenolic hydroxyl group of resin and iron ions, as well as the encapsulation of the copolymer P123. The characterization results revealed that the size of core–shell particles and thickness of graphite layers could be regulated by P123, which affected the conversion of CO2 and products distribution significantly. Moreover, the combined results of quasi in-situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTs) and Raman spectra suggested small particle size and thin graphite shell strengthen the adsorption and conversion of CO2, playing an important role in the formation of light olefins. This work proposes a simple and feasible synthesis strategy to construct Fe3O4-FeCx particles encapsulated by graphite shell, which provides insights into catalysts design and the reaction mechanism of CO2 conversion to light olefins.

Ion-molecule collision cross-section calculations using trajectory parallelization in distributed systems

Ion Mobility coupled with Mass Spectrometry (IM-MS) stands as a strong analytical method for structurally characterizing complex molecules. In IM-MS, the sample under investigation is ionized and propelled by an electric field into a drift tube, which collides against a buffer gas. The separation of the ion gas phase is then measured through the differences in their rotationally averaged Collision Cross-Section (CCS) values. The effectiveness of the measured Collision Cross-Section (CCS) for structural characterization critically depends on the validation against theoretical calculations. This validation process relies on intensive molecular mechanics simulations, which can be computationally demanding, especially for large systems such as molecular assemblies and viruses. Therefore, reliable and fast CCS calculations are needed to help interpret IM-MS experimental data. This work presents the MassCCS software, which considerably increases the CCS simulation performance by implementing a linked-cell-based algorithm, incorporating High-Performance Computing (HPC) techniques. We performed extensive tests regarding the system size, shape, and number of CPU cores. Experimental results reveal speedups up to 3 orders of magnitude faster than Collision Simulator for Ion Mobility Spectrometry (CoSIMS) and High-Performance Collision Cross Section (HPCCS), optimized solutions for CCS simulations, for a single node execution. In addition, we extended MassCCS at the inter-node level by employing OpenMP Cluster (OMPC). OMPC is an innovative programming model designed for the development of HPC applications. It streamlines the development process and simplifies software maintenance using only OpenMP directives. Notably, OMPC delivers a performance level comparable to a pure MPI implementation. This enhancement enabled expensive CCS calculations using nitrogen buffer gas for large systems such as human adenovirus with ∼11 million atoms in just ∼4 min, making MassCCS the most performant software nowadays, to the best of our knowledge. MassCCS is available as free software for Academic use at https://github.com/cces-cepid/massccs.

Au36(SR)22 Nanocluster and a Periodic Pattern from Six to Fourteen Free Electrons in Core Size Evolution.

An Au36(S-tBu)22 nanocluster (NC) is synthesized using the bulky tert-butyl thiol as the ligand. Single-crystal X-ray crystallography reveals that it has an Au25 core which evolves from the Au22 core in the previously reported Au30(S-tBu)18, and the Au25 core is protected by longer staple-like surface motifs. The new Au36 NC extends the members of the face-centered cubic structural evolution by adding an Au3 triangle and an Au4 tetrahedron unit. Additionally, it is found that Au36 emits near-infrared photoluminescence at 863 nm with a quantum yield (QY) of 4.3%, which is five times larger than that of Au30(S-tBu)18-the closest neighbor in the structural evolution pattern. The higher QY of Au36 is attributed to a larger radiative relaxation (kr), resulting from the structural effect. Finally, we find that the longer staple motifs lead to enhanced stability of Au36(S-tBu)22 relative to Au30(S-tBu)18.

Structural Color Materials with Color Mixing Effect Using Noble Metal‐Free Plasmonic Particles in SiO2–ZrN System

AbstractStructurally colored materials with a color mixing effect are developed using SiO2–ZrN core–shell particles, where ZrN nanoparticles used as shells exhibited localized surface plasmon resonances (LSPRs). ZrN nanoparticles (10–30 nm) are attached to monodispersed SiO2 particles by modifying SiO2 particles with polymers. The attached ZrN nanoparticles exhibited a plasmon resonance absorption band at 700 nm. These SiO2–ZrN core–shell particles have a highly monodisperse particle size and assemble into a particle‐stacked film with Bragg diffraction light in the visible spectrum. The particle‐stacked film of the SiO2–ZrN core–shell particles exhibited the maximum reflection depending on the particle size of the SiO2 core. The ratio of the reflection intensity in the long‐wavelength region corresponding to the ZrN absorption to that in the short‐wavelength region of the particle‐stacked film containing the ZrN shell is less than that of the ratio in only SiO2 particle‐stacked film. The results reveal that these particle‐stacked films exhibit a “color mixing effect” that combines specific wavelength absorption through plasmon resonance and specific wavelength diffraction owing to the periodic structure without using precious metals.

High-efficiency radiation-balanced Yb-doped silica fiber laser with 200-mW output.

The focus of this study was the development of a second generation of fiber lasers internally cooled by anti-Stokes fluorescence. The laser consisted of a length of a single-mode fiber spliced to fiber Bragg gratings to form the optical resonator. The fiber was single-moded at the pump (1040 nm) and signal (1064 nm) wavelengths. Its core was heavily doped with Yb, in the initial form of CaF2 nanoparticles, and co-doped with Al to reduce quenching and improve the cooling efficiency. After optimizing the fiber length (4.1 m) and output-coupler reflectivity (3.3%), the fiber laser exhibited a threshold of 160 mW, an optical efficiency of 56.8%, and a radiation-balanced output power (no net heat generation) of 192 mW. On all three metrics, this performance is significantly better than the only previously reported radiation-balanced fiber laser, which is even more meaningful given that the small size of the single-mode fiber core (7.8-µm diameter). At the maximum output power (∼2 W), the average fiber temperature was still barely above room temperature (428 mK). This work demonstrates that with anti-Stokes pumping, it is possible to induce significant gain and energy storage in a small-core Yb-doped fiber while keeping the fiber cool.

Hybrid graphene anti-resonant fiber with tunable light absorption.

Controlling the output light-intensity and realizing the light-switch function in hollow-core anti-resonant fibers (HC-ARFs) is crucial for their applications in polarizers, lasers, and sensor systems. Here, we theoretically propose a hybrid light-intensity-tunable HC-ARF deposited with the sandwiched graphene/hexagonal boron nitride/graphene based on the typical six-circular-tube and the nested structures. Changing the external drive voltage from 12.3 to 31.8 V, the hybrid HC-ARF experiences a high-low alterative attenuation coefficient with a modulation depth 3.87 and 1.91 dB/cm for the six-circular-tube and nested structures respectively, serving as a well-performance light-switch at the optical communication wavelength of 1.55 µm. This response is attributed to the variation of the Fermi level of graphene and is obviously influenced by the core size, fiber length, and the number of graphene and hBN layers. Moreover, one attenuation dip of the modulation depth was found because of the epsilon-near-zero effect in graphene. Our design provides a feasible paradigm for integrating graphene with anti-resonant fibers and high-performance electro-optic modulators.

Impact of glioma peritumoral edema, tumor size, and tumor location on alternating electric fields (AEF) therapy in realistic 3D rat glioma models: a computational study

Objective. Alternating electric fields (AEF) therapy is a treatment modality for patients with glioblastoma. Tumor characteristics such as size, location, and extent of peritumoral edema may affect the AEF strength and distribution. We evaluated the sensitivity of the AEFs in a realistic 3D rat glioma model with respect to these properties. Approach. The electric properties of the peritumoral edema were varied based on calculated and literature-reported values. Models with different tumor composition, size, and location were created. The resulting AEFs were evaluated in 3D rat glioma models. Main results. In all cases, a pair of 5 mm diameter electrodes induced an average field strength >1 V cm−1. The simulation results showed that a negative relationship between edema conductivity and field strength was found. As the tumor core size was increased, the average field strength increased while the fraction of the shell achieving >1.5 V cm−1 decreased. Increasing peritumoral edema thickness decreased the shell's mean field strength. Compared to rostrally/caudally, shifting the tumor location laterally/medially and ventrally (with respect to the electrodes) caused higher deviation in field strength. Significance. This study identifies tumor properties that are key drivers influencing AEF strength and distribution. The findings might be potential preclinical implications.

Nano-Engineered HfO2-Au photonic sensor for ultra-sensitive refractive index detection

In this study, we introduce a novel hafnium dioxide (HfO2) and thin gold layer based photonic crystal fiber (HfAu-PCF) sensor for refractive index measurement and optimize in the spectrum of 1.3 µm to 1.6 µm. The proposed sensor incorporates a D-shaped geometry for enhanced light-matter interaction, and the core of the fiber is surrounded by periodic air holes to facilitate efficient coupling of the guided mode with surface plasmons. The proposed HfAu-PCF sensor is geometrically optimized using finite element method (FEM) by fine-tuning air hole diameter, core size, layer thickness dimensions of the fiber to achieve performance stability. Leveraging the unique optical properties of HfO2 and Au, the sensor demonstrates superior performance metrics, achieving confinement loss (<10−6 dB/m), propagation constant (β) ∼ 6 × 106, V-Parameter < 2.3, a peak relative sensitivity of 99.05 % across the tested wavelength of 1.3 µm to 1.6 µm. Our findings reveal that choosing suitable parameters could lead to further enhancements in sensitivity, making the sensor for applications in bio-sensing, environmental monitoring, and chemical analysis, etc.

Enhancing resolution and contrast in fibre bundle-based fluorescence microscopy using generative adversarial network.

Fibre bundle (FB)-based endoscopes are indispensable in biology and medical science due to their minimally invasive nature. However, resolution and contrast for fluorescence imaging are limited due to characteristic features of the FBs, such as low numerical aperture (NA) and individual fibre core sizes. In this study, we improved the resolution and contrast of sample fluorescence images acquired using in-house fabricated high-NA FBs by utilising generative adversarial networks (GANs). In order to train our deep learning model, we built an FB-based multifocal structured illumination microscope (MSIM) based on a digital micromirror device (DMD) which improves the resolution and the contrast substantially compared to basic FB-based fluorescence microscopes. After network training, the GAN model, employing image-to-image translation techniques, effectively transformed wide-field images into high-resolution MSIM images without the need for any additional optical hardware. The results demonstrated that GAN-generated outputs significantly enhanced both contrast and resolution compared to the original wide-field images. These findings highlight the potential of GAN-based models trained using MSIM data to enhance resolution and contrast in wide-field imaging for fibre bundle-based fluorescence microscopy. Lay Description: Fibre bundle (FB) endoscopes are essential in biology and medicine but suffer from limited resolution and contrast for fluorescence imaging. Here we improved these limitations using high-NA FBs and generative adversarial networks (GANs). We trained a GAN model with data from an FB-based multifocal structured illumination microscope (MSIM) to enhance resolution and contrast without additional optical hardware. Results showed significant enhancement in contrast and resolution, showcasing the potential of GAN-based models for fibre bundle-based fluorescence microscopy.

A compact 3D printed magnetically stirred tank reactor cascade coupled with a free impinging jet for continuous production of colloidal nanoparticles

Most colloidal nanoparticle production processes involve more than one step, such as particle nucleation, growth and stabilisation, that often take place at different time scales. Flow chemistry offers an attractive platform for nanoparticle synthesis, as it can provide excellent control of conditions for each individual step. In this work, a free impinging jet reactor (FIJR), known for its rapid mixing capability and fouling-proof operation, is followed by a cascade of 5 miniaturised (3 ml) continuous stirred tank reactors (mCSTR) that provides longer residence time and efficient temperature control for subsequent synthesis steps, while still being resistant to clogging due to active mixing. The small (0.1 mm) diameter nozzle design allowed the FIJR to provide excellent mixing even at relatively low flowrates (2 ml/min/jet). The mCSTR cascade was arranged in a vertical configuration (one tank on top of another), offering a compact design that is simple to use and requiring only one magnetic stirrer. It provided near-ideal macromixing with limited dead volumes and interconnections, as reflected by a residence time distribution comparable with the theoretical one for a CSTR cascade. Most parts of the reactor system were 3D printed with features that facilitated the assembly. The proposed FIJR design overcomes the accuracy limitations of 3D printing by combining it with micromilling to achieve one of the smallest FIJR reported and by allowing for rotation of the nozzles to easily resolve issues with jet alignment. The reactor system was employed for the synthesis of colloidal (∼10 nm size) silver nanoparticles via NaBH4 reduction of AgNO3, in a 0.06 g/day scale for 50 min continuous operation and (∼6 nm core size) iron oxide nanoparticles via co-precipitation of Fe3+/Fe2+, producing colloidally stable nanoparticles in a 16.1 g/day scale for over 2 h continuous operation.

Experimental modelling of heating and local field enhancement by iron oxide nanoparticles upon laser excitation

SignificanceLocal determination of the iron oxide nanoparticles (IONPs) temperature during laser heating is important in the aspect of laser phototherapy. ApproachWe have carried out theoretical modeling of local EM field enhancement and heating under the laser action near individual IONPs and ensembles of NPs with different sizes of the magnetic core and different content of iron oxide in them. To experimental determine the temperature of IONPs water colloids, we used fluorescence thermometry based on rhodamine B (RhB) fluorescence lifetime. ResultsLocal EM field enhancement and heating strongly depend on the NPs shape and distance between them. In the case of anisotropic NPs, a significant change in the spatial distribution of the EM field near the NPs surface was observed. The local heating of NPs in an ensemble reaches sufficiently higher values, the relative change was about 35°С for Fe2O3 NPs. Nevertheless, all the studied IONPs water colloids showed heating by no more than 15°C. ConclusionsSignificant enhancement of the local field occurs in IONP pairs and ensembles. The heating temperature of the ensemble depends on the thermal conductivity of the medium, in which the heat dissipation depends.

Multifrequency Very Long Baseline Interferometry Imaging of the Subparsec-scale Jet in the Sombrero Galaxy (M104)

We report multifrequency and multiepoch very long baseline interferometry studies of the subparsec jet in the Sombrero galaxy (M104, NGC 4594). Using Very Long Baseline Array data at 12, 22, 44, and 88 GHz, we study the kinematics of the jet and the properties of the compact core. The subparsec jet is clearly detected at 12 and 22 GHz, and the inner jet base is resolved down to ∼70 Schwarzschild radii (R s) at 44 GHz. The proper motions of the jet are measured with apparent subrelativistic speeds of 0.20 ± 0.08c and 0.05 ± 0.02c for the approaching and the receding jet, respectively. Based on the apparent speed and jet-to-counterjet brightness ratio, we estimate the jet viewing angle to be larger than ∼37°, and the intrinsic speed to be between ∼0.10c and 0.40c. Their joint probability distribution suggests the most probable values of the viewing angle and intrinsic speed to be 66°−6°+4° and 0.19 ± 0.04c, respectively. We also find that the measured brightness temperatures of the core at 12, 22, and 44 GHz are close to the equipartition brightness temperature, indicating that the energy density of the radiating particles is comparable to the energy density of the magnetic field in the subparsec jet region. Interestingly, the measured core size at 88 GHz (∼25 ± 5 R s) deviates from the expected frequency dependence seen at lower frequencies. This may indicate a different origin for the millimeter emission, which can be explained by an advection-dominated accretion flow (ADAF) model. This model further predicts that at 230 and 340 GHz, the ADAF may dominate the radio emission over the jet.

Impact of different approaches to computing rotating stellar models

Context. The physics of stellar rotation plays a crucial role in the evolution of stars, in their final fates, and for the properties of compact remnants. Aims. Diverse approaches have been adopted to incorporate the effects of rotation in stellar evolution models. This study seeks to explore the consequences that these various prescriptions for rotation have for the essential outputs of massive star models. Methods. We computed a grid of 15 and 60 M⊙ stellar evolution models with the Geneva Stellar Evolution Code that accounted for both hydrodynamical and magnetic instabilities induced by rotation. Results. In the 15 and 60 M⊙ models, the choice of the vertical and horizontal diffusion coefficients for the nonmagnetic models strongly impacts the evolution of the chemical structure, but has a weak impact on the angular momentum transport and the rotational velocity of the core. In the 15 M⊙ models, the choice of the diffusion coefficient impacts the convective core size during the core H-burning phase, regardless of whether the model begins core He-burning as a blue or red supergiant and regardless of the core mass at the end of He-burning. In the 60 M⊙ models, the evolution is dominated by mass loss and is less strongly affected by the choice of the diffusion coefficient. In the magnetic models, magnetic instability dominates the angular momentum transport, and these models are found to be less strongly mixed than their rotating nonmagnetic counterparts. Conclusions. Stellar models with the same initial mass, chemical composition, and rotation may exhibit diverse characteristics depending on the physics applied. By conducting thorough comparisons with observational features, we can ascertain which method(s) produce the most accurate results in different cases.