2,518 research outputs found
Global Collapses and Expansions in Star-Forming Clouds
Spectral molecular line profile observations of star-forming molecular clouds
sometimes show distinct red asymmetric double-peaked molecular line profiles
with weaker blue peaks and stronger red peaks. For some star-forming molecular
clouds, such molecular transitions with red asymmetric line profiles and blue
asymmetric line profiles (i.e. blue asymmetric double-peaked molecular line
profiles with weaker red peaks and stronger blue peaks) may coexist in
spatially resolved spectral observations, while for others, such molecular
transitions with red asymmetric line profiles may completely dominate in
spatially resolved spectral observations. Blue asymmetric line profiles are
usually interpreted as signals of central core collapses, while red asymmetric
line profiles remain unexplained. In this paper, we advance a spherically
symmetric self-similar hydrodynamic model framework for envelope expansions
with core collapses (EECC) of a general polytropic molecular gas cloud under
self-gravity. Based on such EECC hydrodynamic cloud models, we perform tracer
molecular line profile calculations using the publicly available RATRAN code
for star-forming clouds with spectroscopic signatures of red asymmetric line
profiles. The presence of red asymmetric line profiles from molecular cloud
cores indicates that EECC processes are most likely an essential hydrodynamic
process of star formation. With spatial distributions, we explore various
profiles of molecular lines for several tracer molecules in different settings
of EECC dynamic models with and without shocks.Comment: 12 pages, 7 figures, accepted for publication in MNRA
miR394 and LCR are involved in Arabidopsis salt and drought stress responses in an abscisic acid-dependent manner
Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset.
Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have enabled and promoted the applications of mobile brain-computer interfaces (BCIs) in our daily life. Since the brain may behave differently while people are actively situated in ecologically-valid environments versus highly-controlled laboratory environments, it remains unclear how well the current laboratory-oriented BCI demonstrations can be translated into operational BCIs for users with naturalistic movements. Understanding inherent links between natural human behaviors and brain activities is the key to ensuring the applicability and stability of mobile BCIs. This study aims to assess the quality of steady-state visual-evoked potentials (SSVEPs), which is one of promising channels for functioning BCI systems, recorded using a mobile EEG system under challenging recording conditions, e.g., walking. To systematically explore the effects of walking locomotion on the SSVEPs, this study instructed subjects to stand or walk on a treadmill running at speeds of 1, 2, and 3 mile (s) per hour (MPH) while concurrently perceiving visual flickers (11 and 12 Hz). Empirical results of this study showed that the SSVEP amplitude tended to deteriorate when subjects switched from standing to walking. Such SSVEP suppression could be attributed to the walking locomotion, leading to distinctly deteriorated SSVEP detectability from standing (84.87 ± 13.55%) to walking (1 MPH: 83.03 ± 13.24%, 2 MPH: 79.47 ± 13.53%, and 3 MPH: 75.26 ± 17.89%). These findings not only demonstrated the applicability and limitations of SSVEPs recorded from freely behaving humans in realistic environments, but also provide useful methods and techniques for boosting the translation of the BCI technology from laboratory demonstrations to practical applications
Cosmological Constraints on the Modified Entropic Force Model
Very recently, Verlinde considered a theory in which space is emergent
through a holographic scenario, and proposed that gravity can be explained as
an entropic force caused by changes in the information associated with the
positions of material bodies. Then, motivated by the Debye model in
thermodynamics which is very successful in very low temperatures, Gao modified
the entropic force scenario. The modified entropic force (MEF) model is in fact
a modified gravity model, and the universe can be accelerated without dark
energy. In the present work, we consider the cosmological constraints on the
MEF model, and successfully constrain the model parameters to a narrow range.
We also discuss many other issues of the MEF model. In particular, we clearly
reveal the implicit root to accelerate the universe in the MEF model.Comment: 16 pages, 7 figures, revtex4; v2: discussions added, Phys. Lett. B in
press; v3: published versio
Current trends in drug metabolism and pharmacokinetics.
Pharmacokinetics (PK) is the study of the absorption, distribution, metabolism, and excretion (ADME) processes of a drug. Understanding PK properties is essential for drug development and precision medication. In this review we provided an overview of recent research on PK with focus on the following aspects: (1) an update on drug-metabolizing enzymes and transporters in the determination of PK, as well as advances in xenobiotic receptors and noncoding RNAs (ncRNAs) in the modulation of PK, providing new understanding of the transcriptional and posttranscriptional regulatory mechanisms that result in inter-individual variations in pharmacotherapy; (2) current status and trends in assessing drug-drug interactions, especially interactions between drugs and herbs, between drugs and therapeutic biologics, and microbiota-mediated interactions; (3) advances in understanding the effects of diseases on PK, particularly changes in metabolizing enzymes and transporters with disease progression; (4) trends in mathematical modeling including physiologically-based PK modeling and novel animal models such as CRISPR/Cas9-based animal models for DMPK studies; (5) emerging non-classical xenobiotic metabolic pathways and the involvement of novel metabolic enzymes, especially non-P450s. Existing challenges and perspectives on future directions are discussed, and may stimulate the development of new research models, technologies, and strategies towards the development of better drugs and improved clinical practice
Design of dispersive optomechanical coupling and cooling in ultrahigh-Q/V slot-type photonic crystal cavities
We describe the strong optomechanical dynamical interactions in ultrahigh-Q/V
slot-type photonic crystal cavities. The dispersive coupling is based on a
mode-gap photonic crystal cavities with light localization in an air mode with
0.02(lambda/n)3 modal volumes while preserving optical cavity Q up to 5 x 106.
The mechanical mode is modeled to have fundamental resonance omega_m/2pi of 460
MHz and a quality factor Qm estimated at 12,000. For this slot-type
optomechanical cavity, the dispersive coupling gom is numerically computed at
up to 940 GHz/nm (Lom of 202 nm) for the fundamental optomechanical mode.
Dynamical parametric oscillations for both cooling and amplification, in the
resolved and unresolved sideband limit, are examined numerically, along with
the displacement spectral density and cooling rates for the various operating
parameters.Comment: 12 pages, 7 figure
Crosstalk between Nuclear Factor I-C and Transforming Growth Factor-β1 Signaling Regulates Odontoblast Differentiation and Homeostasis
Transforming growth factor-β1 (TGF-β1) signaling plays a key role in vertebrate development, homeostasis, and disease. Nuclear factor I-C (NFI-C) has been implicated in TGF-β1 signaling, extracellular matrix gene transcription, and tooth root development. However, the functional relationship between NFI-C and TGF-β1 signaling remains uncharacterized. The purpose of this study was to identify the molecular interactions between NFI-C and TGF-β1 signaling in mouse odontoblasts. Real-time polymerase chain reaction and western analysis demonstrated that NFI-C expression levels were inversely proportional to levels of TGF-β1 signaling molecules during in vitro odontoblast differentiation. Western blot and immunofluorescence results showed that NFI-C was significantly degraded after TGF-β1 addition in odontoblasts, and the formation of the Smad3 complex was essential for NFI-C degradation. Additionally, ubiquitination assay results showed that Smurf1 and Smurf2 induced NFI-C degradation and polyubiquitination in a TGF-β1-dependent manner. Both kinase and in vitro binding assays revealed that the interaction between NFI-C and Smurf1/Smurf2 requires the activation of the mitogen-activated protein kinase pathway by TGF-β1. Moreover, degradation of NFI-C induced by TGF-β1 occurred generally in cell types other than odontoblasts in normal human breast epithelial cells. In contrast, NFI-C induced dephosphorylation of p-Smad2/3. These results show that crosstalk between NFI-C and TGF-β1 signaling regulates cell differentiation and homeostatic processes in odontoblasts, which might constitute a common cellular mechanism
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