1,478 research outputs found
Static compression of porous dust aggregates
Context: In protoplanetary disks, dust grains coagulate with each other and
grow to form aggregates. As these aggregates grow by coagulation, their filling
factor \phi decreases down to \phi << 1. However, comets, the remnants of these
early planetesimals, have \phi ~ 0.1. Thus, static compression of porous dust
aggregates is important in planetesimal formation. However, the static
compression strength has been investigated only for relatively high density
aggregates (\phi > 0.1). Aims: We investigate and find the compression strength
of highly porous aggregates (\phi << 1). Methods: We perform three dimensional
N-body simulations of aggregate compression with a particle-particle
interaction model. We introduce a new method of static compression: the
periodic boundary condition is adopted and the boundaries move with low speed
to get closer. The dust aggregate is compressed uniformly and isotropically by
themselves over the periodic boundaries. Results: We empirically derive a
formula of the compression strength of highly porous aggregates (\phi << 1). We
check the validity of the compression strength formula for wide ranges of
numerical parameters, such as the size of initial aggregates, the boundary
speed, the normal damping force, and material. We also compare our results to
the previous studies of static compression in the relatively high density
region (\phi > 0.1) and confirm that our results consistently connect to those
in the high density region. The compression strength formula is also derived
analytically.Comment: 12 pages, 14 figures, accepted for publication in A&
Full-Asynchronous Gigabit-Symmetric DPSK Downstream and OOK Upstream OCDMA-PON with Source-Free ONUs Employing All-Optical Self-Clocked Time Gate
Soluble PD-L1 changes in advanced non-small cell lung cancer patients treated with PD-1 inhibitors: an individual patient data meta-analysis
IntroductionCurrently, first-line immune checkpoint inhibitors (ICIs), including programmed cell death protein-1 (PD-1) inhibitors, are utilized as monotherapy in advanced non-small cell lung cancer (NSCLC) patients with high programmed death ligand-1 (PD-L1) expression (≧50%). Pre-treatment or post-treatment serum soluble PD-L1 (sPD-L1) has been identified as a potential biomarker for assessing ICI efficacy through fixed-point observations. However, existing studies on sPD-L1 changes have produced inconsistent results or have had sample sizes too small to detect clinically meaningful effect sizes. To elucidate the role of sPD-L1, we conducted a collaborative individual patient data meta-analysis of PD-1 inhibitor treatments.MethodsWe conducted a thorough search of articles in PubMed via Medline, Embase, Scopus, and Cochrane databases from inception to October 20, 2023. Trials were deemed eligible if they contained individual datasets for advanced NSCLC patients, including data on overall survival (OS)/progression-free survival (PFS), as well as pre- and post-treatment sPD-L1 levels after 3-4 cycles of PD-1 inhibitor treatments. Our analysis focused on patients who completed 3-4 cycles of PD-1 inhibitor treatments. The primary outcome measure was OS/PFS, and we assessed changes in sPD-L1 concentration pre- and post-treatment through ELISA analyses.ResultsFrom our search, we identified a potential seven trials, encompassing 256 patients. Among these, two trials with 26 patients met the criteria for inclusion in our primary analyses. Over a median follow-up period of 10 months, pooled univariate analysis revealed that increases in sPD-L1 levels during PD-1 inhibitor treatment were not associated with OS (HR = 1.25; CI: 0.52–3.02)/PFS (HR = 1.42; CI: 0.61–3.30) when compared to cases with sPD-L1 decreases. Subgroup analyses indicated that the impact of sPD-L1 changes on overall mortality/progression-related mortality remained consistent regardless of gender, age, or the type of treatment (nivolumab or pembrolizumab).ConclusionOur findings suggest that changes in sPD-L1 levels during PD-1 inhibitor treatment do not significantly influence the prognosis of advanced NSCLC patients, regardless of gender, age, or treatment type. Continuous monitoring of sPD-L1 may not offer significant advantages compared to fixed-point observations
Corrigendum: Soluble PD−L1 changes in advanced non-small cell lung cancer patients treated with PD-1 inhibitors: an individual patient data meta-analysis
Control of Polymorphism and Mass-Transfer in Al2O3 Scale Formed by Oxidation of Alumina-Forming Alloys
Numerical Modeling of the Coagulation and Porosity Evolution of Dust Aggregates
Porosity evolution of dust aggregates is crucial in understanding dust
evolution in protoplanetary disks. In this study, we present useful tools to
study the coagulation and porosity evolution of dust aggregates. First, we
present a new numerical method for simulating dust coagulation and porosity
evolution as an extension of the conventional Smoluchowski equation. This
method follows the evolution of the mean porosity for each aggregate mass
simultaneously with the evolution of the mass distribution function. This
method reproduces the results of previous Monte Carlo simulations with much
less computational expense. Second, we propose a new collision model for porous
dust aggregates on the basis of our N-body experiments on aggregate collisions.
We first obtain empirical data on porosity changes between the classical limits
of ballistic cluster-cluster and particle-cluster aggregation. Using the data,
we construct a recipe for the porosity change due to general hit-and-stick
collisions as well as formulae for the aerodynamical and collisional cross
sections. Simple coagulation simulations using the extended Smoluchowski method
show that our collision model explains the fractal dimensions of porous
aggregates observed in a full N-body simulation and a laboratory experiment.
Besides, we discover that aggregates at the high-mass end of the distribution
can have a considerably small aerodynamical cross section per unit mass
compared with aggregates of lower masses. We point out an important implication
of this discovery for dust growth in protoplanetary disks.Comment: 17 pages, 15 figures; v2: version to appear in ApJ (typos corrected
Phase structure of linear quiver gauge theories from anomaly matching
We consider the phase structure of the linear quiver gauge theory, using the
't Hooft anomaly matching condition. This theory is characterized by the length
of the quiver diagram. When is even, the symmetry and its anomaly are
the same as those of massless QCD. Therefore, one can expect that the
spontaneous symmetry breaking similar to the chiral symmetry breaking occurs.
On the other hand, when is odd, the anomaly matching condition is satisfied
by the massless composite fermions. We also consider the thermal partition
function under the twisted boundary conditions. When is even, from the
anomaly at finite temperature, we estimate the relation between the critical
temperatures associated with the confinement/deconfinement and the breaking of
the global symmetry. Finally we discuss the anomaly matching at finite
temperature when is odd.Comment: 20 pages, 6 figure
Identification of a novel type of polyunsaturated fatty acid synthase involved in arachidonic acid biosynthesis
AbstractArachidonic acid (ARA) is a polyunsaturated fatty acid (PUFA) and an essential component of membrane lipids. However, the PUFA synthase required for ARA biosynthesis has not been identified in any organism. To identify the PUFA synthase producing ARA, we determined the draft genome sequence of the marine bacterium Aureispira marina, which produces a high level of ARA, and found a gene cluster encoding a putative PUFA synthase for ARA production. Expression of the gene cluster in Escherichia coli induced production of ARA, demonstrating that the gene cluster encodes a PUFA synthase required for ARA biosynthesis
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