427 research outputs found
Identifcation and stablization of a novel 3D hepatocyte monolayer for hepatocyte-based applications
Ph.DDOCTOR OF PHILOSOPH
Influence evaluation of producer services agglomeration on economic resilience: Evidence from China’s cities
As a new engine of economic development after urbanization’s
structural deceleration stage in China, producer services agglomeration
on urban economic resilience (ER) requires analysis. Using
data from 264 prefecture-level cities and above in China after the
global financial crisis, we examine producer services’ impact in
terms of diversification (PSD) and specialization (PSS) on urban
ER, and also the mediating effect of industrial structure upgrading
(ISU). The results show that Cities with more diversified producer
services are more resilient to crises, while the effect direction of
PSS is the opposite. ISU is partly how PSD and PSS affect ER.
Finally, producer services agglomeration’s impact on ER has significant
regional heterogeneity. PSD is very conducive to urban
ER in the economically developed eastern region and the less
developed western region. The more specialized the development
of producer services in eastern and north-eastern regions, the
less conducive it is to enhancing ER. Our findings can help
stabilize China’s economy and achieve high-quality economic
development
Morphological transitions of elastic filaments in shear flow
International audienceThe morphological dynamics, instabilities and transitions of elastic filaments in viscous flows underlie a wealth of biophysical processes from flagellar propulsion to intracellular streaming, and are also key to deciphering the rheological behavior of many complex fluids and soft materials. Here, we combine experiments and computational modeling to elucidate the dynamical regimes and morphological transitions of elastic Brownian filaments in a simple shear flow. Actin filaments are employed as an experimental model system and their conformations are investigated through fluorescence microscopy in microfluidic channels. Simulations matching the experimental conditions are also performed using inextensible Euler-Bernoulli beam theory and non-local slender-body hydrodynamics in the presence of thermal fluctuations, and agree quantitatively with observations. We demonstrate that filament dynamics in this system is primarily governed by a dimensionless elasto-viscous number comparing viscous drag forces to elastic bending forces, with thermal fluctuations only playing a secondary role. While short and rigid filaments perform quasi-periodic tumbling motions, a buckling instability arises above a critical flow strength. A second transition to strongly-deformed shapes occurs at a yet larger value of the elasto-viscous number and is characterized by the appearance of localized high-curvature bends that propagate along the filaments in apparent "snaking" motions. A theoretical model for the so far unexplored onset of snaking accurately predicts the transition and explains the observed dynamics. We present a complete characterization of filament morphologies and transitions as a function of elasto-viscous number and scaled persistence length and demonstrate excellent agreement between theory, experiments and simulations
Morphological transitions of elastic filaments in shear flow
The morphological dynamics, instabilities and transitions of elastic
filaments in viscous flows underlie a wealth of biophysical processes from
flagellar propulsion to intracellular streaming, and are also key to
deciphering the rheological behavior of many complex fluids and soft materials.
Here, we combine experiments and computational modeling to elucidate the
dynamical regimes and morphological transitions of elastic Brownian filaments
in a simple shear flow. Actin filaments are employed as an experimental model
system and their conformations are investigated through fluorescence microscopy
in microfluidic channels. Simulations matching the experimental conditions are
also performed using inextensible Euler-Bernoulli beam theory and non-local
slender-body hydrodynamics in the presence of thermal fluctuations, and agree
quantitatively with observations. We demonstrate that filament dynamics in this
system is primarily governed by a dimensionless elasto-viscous number comparing
viscous drag forces to elastic bending forces, with thermal fluctuations only
playing a secondary role. While short and rigid filaments perform
quasi-periodic tumbling motions, a buckling instability arises above a critical
flow strength. A second transition to strongly-deformed shapes occurs at a yet
larger value of the elasto-viscous number and is characterized by the
appearance of localized high-curvature bends that propagate along the filaments
in apparent "snaking" motions. A theoretical model for the so far unexplored
onset of snaking accurately predicts the transition and explains the observed
dynamics. For the first time, we present a complete characterization of
filament morphologies and transitions as a function of elasto-viscous number
and scaled persistence length and demonstrate excellent agreement between
theory, experiments and simulations.Comment: 17 pages, 12 figure
GPT Understands, Too
While GPTs with traditional fine-tuning fail to achieve strong results on
natural language understanding (NLU), we show that GPTs can be better than or
comparable to similar-sized BERTs on NLU tasks with a novel method P-tuning --
which employs trainable continuous prompt embeddings. On the knowledge probing
(LAMA) benchmark, the best GPT recovers 64\% (P@1) of world knowledge without
any additional text provided during test time, which substantially improves the
previous best by 20+ percentage points. On the SuperGlue benchmark, GPTs
achieve comparable and sometimes better performance to similar-sized BERTs in
supervised learning. Importantly, we find that P-tuning also improves BERTs'
performance in both few-shot and supervised settings while largely reducing the
need for prompt engineering. Consequently, P-tuning outperforms the
state-of-the-art approaches on the few-shot SuperGlue benchmark
Effect of low frequency magnetic fields on melanoma: tumor inhibition and immune modulation
BACKGROUND: We previously found that the low frequency magnetic fields (LF-MF) inhibited gastric and lung cancer cell growth. We suppose that exposure to LF-MF may modulate immune function so as to inhibit tumor. We here investigated whether LF-MF can inhibit the proliferation and metastasis of melanoma and influence immune function. METHODS: The effect of MF on the proliferation, cell cycle and ultrastracture of B16-F10 in vitro was detected by cell counting Kit-8 assay, flow cytometry, and transmission electron microscopy. Lung metastasis mice were prepared by injection of 2 × 10(5) B16-F10 melanoma cells into the tail vein in C57BL/6 mice. The mice were then exposed to an LF-MF (0.4 T, 7.5 Hz) for 43 days. Survival rate, tumor markers and the innate and adaptive immune parameters were measured. RESULTS: The growth of B16-F10 cells was inhibited after exposure to the LF-MF. The inhibition was related to induction of cell cycle arrest and decomposition of chromatins. Moreover, the LF-MF prolonged the mouse survival rate and inhibited the proliferation of B16-F10 in melanoma metastasis mice model. Furthermore, the LF-MF modulated the immune response via regulation of immune cells and cytokine production. In addition, the number of Treg cells was decreased in mice with the LF-MF exposure, while the numbers of T cells as well as dendritic cells were significantly increased. CONCLUSION: LF-MF inhibited the growth and metastasis of melanoma cancer cells and improved immune function of tumor-bearing mice. This suggests that the inhibition may be attributed to modulation of LF-MF on immune function and LF-MF may be a potential therapy for treatment of melanoma
CB1 Receptor Negative Allosteric Modulators as a Potential Tool to Reverse Cannabinoid Toxicity
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DNA directed self-assembly of shape-controlled hydrogels
Using DNA as programmable, sequence specific ‘glues’, shape-controlled hydrogel units are self-assembled into prescribed structures. Here we report that aggregates are produced using hydrogel cubes with edge length ranging from 30 micrometers to 1 millimeter, demonstrating assembly across scales. In a simple one-pot agitation reaction, 25 dimers are constructed in parallel from 50 distinct hydrogel cube species, demonstrating highly multiplexed assembly. Using hydrogel cuboids displaying face-specific DNA glues, diverse structures are achieved in aqueous and in interfacial agitation systems. These include dimers, extended chains, and open network structures in an aqueous system; and dimers, chains of fixed length, T-junctions, and square shapes in the interfacial system, demonstrating the versatility of the assembly system
Upregulated Expression of Cytotoxicity-Related Genes in IFN-γ Knockout Mice with Schistosoma japonicum Infection
It is well accepted that IFN-γ is important to the development of acquired resistance against murine schistosomiasis. However, the in vivo role of this immunoregulatory cytokine in helminth infection needs to be further investigated. In this study, parasite burden and host immune response were observed in IFN-γ knockout mice (IFNg KO) infected with Schistosoma japonicum for 6 weeks. The results suggested that deficiency in IFN-γ led to decreased egg burden in mice, with low schistosome-specific IgG antibody response and enhanced activation of T cells during acute infection. Microarray and qRT-PCR data analyses showed significant upregulation of some cytotoxicity-related genes, including those from the granzyme family, tumor necrosis factor, Fas Ligand, and chemokines, in the spleen cells of IFNg KO mice. Furthermore, CD8+ cells instead of NK cells of IFNg KO mice exhibited increased transcription of cytotoxic genes compared with WT mice. Additionally, Schistosoma japonicum-specific egg antigen immunization also could activate CD8+ T cells to upregulate the expression of cytotoxic genes in IFNg KO mice. Our data suggest that IFN-γ is not always a positive regulator of immune responses. In certain situations, the disruption of IFN-γ signaling may up-regulate the cytotoxic T-cell-mediated immune responses to the parasite
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