3,625 research outputs found
Interaction-induced first order correlation between spatially-separated 1D dipolar fermions
We calculate the ground-state properties of fermionic dipolar atoms or
molecules in a one-dimensional double-tube potential by using the Luttinger
liquid theory and the density matrix renormalization-group calculation. When
the external field is applied near a magic angle with respect to the
double-tube plane, the long-ranged dipolar interaction can generate a
spontaneous correlation between fermions in different tubes, even when the bare
intertube tunneling rate is negligibly small. Such interaction-induced
correlation strongly enhances the contrast of the interference fringes and
therefore can be easily observed in the standard time-of-flight experiment.Comment: Same as the published versio
Adversarial Deep Network Embedding for Cross-network Node Classification
In this paper, the task of cross-network node classification, which leverages
the abundant labeled nodes from a source network to help classify unlabeled
nodes in a target network, is studied. The existing domain adaptation
algorithms generally fail to model the network structural information, and the
current network embedding models mainly focus on single-network applications.
Thus, both of them cannot be directly applied to solve the cross-network node
classification problem. This motivates us to propose an adversarial
cross-network deep network embedding (ACDNE) model to integrate adversarial
domain adaptation with deep network embedding so as to learn network-invariant
node representations that can also well preserve the network structural
information. In ACDNE, the deep network embedding module utilizes two feature
extractors to jointly preserve attributed affinity and topological proximities
between nodes. In addition, a node classifier is incorporated to make node
representations label-discriminative. Moreover, an adversarial domain
adaptation technique is employed to make node representations
network-invariant. Extensive experimental results demonstrate that the proposed
ACDNE model achieves the state-of-the-art performance in cross-network node
classification
tissue of rat adjuvant-induced arthritis
Triptolide has been clinically used to treat patients with rheumatoid arthritis, in which chemokine receptors play an important role in immune and inflammatory responses. To investigate the effect of triptolide on CCR5, we used complete Freund’s adjuvant to produce adjuvant-induced arthritis (AIA) in rats. Our data show that both CCR5 mRNA and protein levels in synovial tissue of rats with AIA are significantly higher than those in normal rats. Triptolide can significantly inhibit rat AIA-induced overexpression of CCR5 at both mRNA and protein levels. These results may contribute to better understanding of the therapeutic effects of triptolide in rheumatoid arthritis. Key words: triptolide, CCR5, adjuvant induced arthritis, rheumatoid arthriti
Tryptanthrin exerts anti-breast cancer effects both in vitro and in vivo through modulating the inflammatory tumor microenvironment
Tryptanthrin is an indole quinazoline alkaloid from the indigo-bearing plants, such as Isatis indigotica Fort. Typically, this natural compound shows a variety of pharmacological activities such as antitumor, antibacterial, anti-inflammatory and antioxidant effects. This study was conducted to assess the antitumor activity of tryptanthrin in breast cancer models both in vitro and in vivo, and to explore the important role of the inflammatory tumor microenvironment (TME) in the antitumor effects of tryptanthrin. Human breast adenocarcinoma MCF-7 cells were used to assess the antitumor effect of tryptanthrin in vitro. MTT assay and colony formation assay were carried out to monitor the antiproliferative effect of tryptanthrin (1.56~50.0 µmol L–1) on inhibiting the proliferation and colony formation of MCF-7 cells, respectively. The migration and invasion of MCF-7 cells were evaluated by wound healing assay and Transwell chamber assay, respectively. Moreover, the 4T1 murine breast cancer model was established to examine the pharmacological activity of tryptanthrin, and three groups with different doses of tryptanthrin (25, 50 and 100 mg kg–1) were set in study. Additionally, tumor volumes and organ coefficients were measured and calculated. After two weeks of tryptanthrin treatment, samples from serum, tumor tissue and different organs from tumor-bearing mice were collected, and the enzyme-linked immunosorbent assay (ELISA) was performed to assess the regulation of inflammatory molecules in mouse serum. Additionally, pathological examinations of tumor tissues and organs from mice were evaluated through hematoxylin and eosin (H&E) staining. The expression of inflammatory proteins in tumor tissues was measured by immunohistochemistry (IHC) and Western blotting. Tryptanthrin inhibited the proliferation, migration and invasion of MCF-7 cells, up-regulated the protein level of E-cadherin, and down-regulated those of MMP-2 and Snail, as suggested by the MCF-7 cell experiment. According to the results from in vivo experiment, tryptanthrin was effective in inhibiting tumor growth, and it showed favorable safety without inducing the fluctuations of body mass and organ coefficient (p > 0.05). In addition, tryptanthrin also suppressed the expression levels of NOS1, COX-2 and NF-κB in mouse tumor tissues, and regulated those of IL-2, IL-10 and TNF-α in the serum of tumor cells-transplanted mice. Tryptanthrin exerted its anti-breast cancer activities through modulating the inflammatory TME both in vitro and in vivo
A retrospective clinicopathological study on oral lichen planus and malignant transformation: analysis of 518 cases
Objective: To investigate the epidemiological and clinical characteristics of a relatively large cohort of patients
with oral lichen planus (OLP) from eastern China.
Study design: A total of 518 patients with histologically confirmed OLP in a long-term follow-up period (6 months-
21.5 years) were retrospectively reviewed in our clinic.
Results: Of the 518 patients, 353 females and 165 males were identified. The average age at diagnosis was 46.3
years (range 9-81 years) with the buccal mucosa being the most common site (87.8%). At initial presentation, white
lichen and red lichen was seen in 52.3% and 47.7% patients, respectively. Of these, 5 (0.96%) patients previously
diagnosed clinically and histopathologically as OLP developed oral cancer. All of them were the females with no
a history of smoking or alcohol use.
Conclusions: Clinical features of eastern Chinese OLP patients were elucidated. Notably, approximately 1% of
OLP developed into cancer, which provides further evidence of potentially malignant nature of OLP
Effect of end-stage renal disease on long-term survival after a first-ever mechanical ventilation: a population-based study
The 30-day, 6-month, and 1-, 2-, 5-, and 10-year survival rate differences in the ESRD Pos and ESRD Neg groups from the beginning. (DOCX 17 kb
Berry connection polarizability tensor and third-order Hall effect
One big achievement in modern condensed matter physics is the recognition of
the importance of various band geometric quantities in physical effects. As
prominent examples, Berry curvature and Berry curvature dipole are connected to
the linear and the second-order Hall effects, respectively. Here, we show that
the Berry connection polarizability (BCP) tensor, as another intrinsic band
geometric quantity, plays a key role in the third-order Hall effect. Based on
the extended semiclassical formalism, we develop a theory for the third-order
charge transport and derive explicit formulas for the third-order conductivity.
Our theory is applied to the two-dimensional (2D) Dirac model to investigate
the essential features of BCP and the third-order Hall response. We further
demonstrate the combination of our theory with the first-principles
calculations to study a concrete material system, the monolayer FeSe. Our work
establishes a foundation for the study of third-order transport effects, and
reveals the third-order Hall effect as a tool for characterizing a large class
of materials and for probing the BCP in band structure.Comment: 7 pages, 4 figure
Enhancement of bacteriolysis of Shuffled phage PhiX174 gene E
Bacterial ghosts that are generated using the regulated PhiX174 lysis gene E offer a new avenue for the study of inactivated vaccines. Here, we constructed a library of mutant gene E using a gene-shuffling technique. After screening and recombination with the prokaryotic non-fusion expression vector pBV220, two lysis plasmids were selected. Among which, a novel mutant E gene (named mE), consisting of a 74-bp non-encoding sequence at 5'-end and a 201-bp gene ΔE, significantly increased the lysis effect on prokaryotic Escherichia coli and Salmonella enteritidis. Moreover, lysis efficiency, as measured by the OD600 value, reached 1.0 (109 CFU), avoiding the bottleneck problem observed with other bacterial lysis procedures, which results in a low concentration of bacteria in suspension, and consequent low production of bacterial ghosts. Our results may provide a promising avenue for the development of bacterial ghost vaccines
Co-exposure of dimethomorph and imidacloprid: effects on soil bacterial communities in vineyard soil
In Taiwan, the pesticides dimethomorph and imidacloprid are recommended for pest control in vineyards. Therefore, tank-mixing of these two pesticides is usually a routine practice before application. This study analyzed the influence of vineyard soil microbial flora under the recommended and high dosages (100 times the recommended dosage) of dimethomorph and imidacloprid. Individual and combined applications of pesticides were also tested through batches of soil incubation experiments. Four treatments—control (C), dimethomorph (DT), imidacloprid (IM), and mixed application of dimethomorph and imidacloprid (ID)—were used in the experimental design. From the soil metabolism, no significant reaction was observed after 2 months in the recommended dosage group, regardless of whether the pesticides were being applied individually or combined. For the high dosage, imidacloprid showed a higher effect than the co-exposure treatments, showing a possible prolonged effect after its repetitive application. From PCoA analysis, pesticide treatments altered the soil ecology after 2 months, and the effect of imidacloprid can be explicitly observed at high dosages. At the phylum level, Acidobacteria can indicate pesticide application around the recommended dosage. It was inhibited by ID on day 7 and was augmented by all pesticides on day 63. The effect of the recommended dosage of pesticide mixtures after 2 months of incubation was revealed in the minor families Gemmataceae and Pirellulaceae, while the high dosage treatments affected both the core and the minor families. Our findings verified the changes in the composition of microbial communities upon pesticide application, which would affect carbon, nitrogen, sulfur, phosphorous cycles, and contaminant removal ability within the vineyard
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