2,735 research outputs found
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions
Graph node embedding aims at learning a vector representation for all nodes
given a graph. It is a central problem in many machine learning tasks (e.g.,
node classification, recommendation, community detection). The key problem in
graph node embedding lies in how to define the dependence to neighbors.
Existing approaches specify (either explicitly or implicitly) certain
dependencies on neighbors, which may lead to loss of subtle but important
structural information within the graph and other dependencies among neighbors.
This intrigues us to ask the question: can we design a model to give the
maximal flexibility of dependencies to each node's neighborhood. In this paper,
we propose a novel graph node embedding (named PINE) via a novel notion of
partial permutation invariant set function, to capture any possible dependence.
Our method 1) can learn an arbitrary form of the representation function from
the neighborhood, withour losing any potential dependence structures, and 2) is
applicable to both homogeneous and heterogeneous graph embedding, the latter of
which is challenged by the diversity of node types. Furthermore, we provide
theoretical guarantee for the representation capability of our method for
general homogeneous and heterogeneous graphs. Empirical evaluation results on
benchmark data sets show that our proposed PINE method outperforms the
state-of-the-art approaches on producing node vectors for various learning
tasks of both homogeneous and heterogeneous graphs.Comment: 24 pages, 4 figures, 3 tables. arXiv admin note: text overlap with
arXiv:1805.1118
Relativistic Artificial Molecules Realized by Two Coupled Graphene Quantum Dots
Coupled quantum dots (QDs), usually referred to as artificial molecules, are
important not only in exploring fundamental physics of coupled quantum objects,
but also in realizing advanced QD devices. However, previous studies have been
limited to artificial molecules with nonrelativistic fermions. Here, we show
that relativistic artificial molecules can be realized when two circular
graphene QDs are coupled to each other. Using scanning tunneling microscopy
(STM) and spectroscopy (STS), we observe the formation of bonding and
antibonding states of the relativistic artificial molecule and directly
visualize these states of the two coupled graphene QDs. The formation of the
relativistic molecular states strongly alters distributions of massless Dirac
fermions confined in the graphene QDs. Because of the relativistic nature of
the molecular states, our experiment demonstrates that the degeneracy of
different angular-momentum states in the relativistic artificial molecule can
be further lifted by external magnetic fields. Then, both the bonding and
antibonding states are split into two peaks
Protective Effects of Squid Ink Extract Towards Hemopoietic Injuries Induced by Cyclophosphamine
To investigate the protective effects of squid ink in chemotherapy, BALB/c mice were used as animal models of injuries induced by cyclophosphamine, a well known chemotherapeutic drug. The mice were randomly divided into five groups with the same number of males and females in each group. At the end of the experiment, animals were sacrificed to investigate organ indexes and antioxidant ability of the spleen, peripheral blood profile and quantities of bone marrow nucleated cells. Results showed that the hemopoietic function of mice was injured by cyclophosphamine, as indicated by decreases of contents of erythrocytes, leukocytes, hemoglobin and bone marrow nucleated cells (P<0.01), while platelets were not affected (P>0.05), as well as modification of organ indexes (P<0.05) and spleen antioxidant ability (P<0.05 or P<0.01), whereas sepia extract markedly increased the levels of erythrocytes, leukocytes, hemoglobin and bone marrow nucleated cells (P<0.01), but not platelets (P>0.05), and reversed the effects of cyclophosphamine on organ indexes and antioxidant ability of spleen (P<0.01 or P<0.05). In addition, squid ink extract did not change marrow hemopoiesis but improved the antioxidant ability of spleen in the animals. The data suggest that squid ink extract can protect the hemopoietic system from chemotherapeutic injury and could be employed to develop cell-protective drugs for use in clinical treatment of tumours
Evolutional selection of a combinatorial phage library displaying randomly-rearranged various single domains of immunoglobulin (Ig)-binding proteins (IBPs) with four kinds of Ig molecules
<p>Abstract</p> <p>Background</p> <p>Protein A, protein G and protein L are three well-defined immunoglobulin (Ig)-binding proteins (IBPs), which show affinity for specific sites on Ig of mammalian hosts. Although the precise functions of these molecules are not fully understood, it is thought that they play an important role in pathogenicity of bacteria. The single domains of protein A, protein G and protein L were all demonstrated to have function to bind to Ig. Whether combinations of Ig-binding domains of various IBPs could exhibit useful novel binding is interesting.</p> <p>Results</p> <p>We used a combinatorial phage library which displayed randomly-rearranged various-peptide-linked molecules of D and A domains of protein A, designated PA(D) and PA(A) respectively, B2 domain of protein G (PG) and B3 domain of protein L (PL) for affinity selection with human IgG (hIgG), human IgM (hIgM), human IgA (hIgA) and recombinant hIgG1-Fc as bait respectively. Two kinds of novel combinatorial molecules with characteristic structure of PA(A)-PG and PA(A)-PL were obtained in hIgG (hIgG1-Fc) and hIgM (hIgA) post-selection populations respectively. In addition, the linking peptides among all PA(A)-PG and PA(A)-PL structures was strongly selected, and showed interestingly divergent and convergent distribution. The phage binding assays and competitive inhibition experiments demonstrated that PA(A)-PG and PA(A)-PL combinations possess comparable binding advantages with hIgG/hIgG1-Fc and hIgM/hIgA respectively.</p> <p>Conclusion</p> <p>In this work, a combinatorial phage library displaying Ig-binding domains of protein A, protein G, or protein L joined by various random linking peptides was used to conducted evolutional selection <it>in vitro</it> with four kinds of Ig molecules. Two kinds of novel combinations of Ig-binding domains, PA(A)-PG and PA(A)-PL, were obtained, and demonstrate the novel Ig binding properties.</p
Anti-tumor effects of brucine immuno-nanoparticles on hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma is difficult to diagnose early, and most patients are already in the late stages of the disease when they are admitted to hospital. The total 5-year survival rate is less than 5%. Recent studies have showed that brucine has a good anti-tumor effect, but high toxicity, poor water solubility, short half-life, narrow therapeutic window, and a toxic dose that is close to the therapeutic dose, which all limit its clinical application. This study evaluated the effects of brucine immuno-nanoparticles (BIN) on hepatocellular carcinoma. MATERIALS AND METHODS: Anionic polymerization, chemical modification technology, and phacoemulsification technology were used to prepare a carboxylated polyethylene glycol-polylactic acid copolymer carrier material. Chemical coupling technology was utilized to develop antihuman AFP McAb-polyethylene glycol-polylactic acid copolymer BIN. The size, shape, zeta potential, drug loading, encapsulation efficiency, and release of these immune-nanoparticles were studied in vitro. The targeting, and growth, invasion, and metastasis inhibitory effects of this treatment on liver cancer SMMC-7721 cells were tested. RESULTS: BIN were of uniform size with an average particle size of 249 ± 77 nm and zeta potential of -18.7 ± 4.19 mV. The encapsulation efficiency was 76.0% ± 2.3% and the drug load was 5.6% ± 0.2%. Complete uptake and even distribution around the liver cancer cell membrane were observed. CONCLUSION: BIN had even size distribution, was stable, and had a slow-releasing effect. BIN targeted the cell membrane of the liver cancer cell SMMC-7721 and significantly inhibited the growth, adhesion, invasion, and metastasis of SMMC-7721 cells. As a novel drug carrier system, BIN are a potentially promising targeting treatment for liver cancer
Systematic biases in determining dust attenuation curves through galaxy SED fitting
While the slope of the dust attenuation curve () is found to
correlate with effective dust attenuation () as obtained through spectral
energy distribution (SED) fitting, it remains unknown how the fitting
degeneracies shape this relation. We examine the degeneracy effects by fitting
SEDs of a sample of local star-forming galaxies (SFGs) selected from the Galaxy
And Mass Assembly survey, in conjunction with mock galaxy SEDs of known
attenuation parameters. A well-designed declining starburst star formation
history is adopted to generate model SED templates with intrinsic UV slope
() spanning over a reasonably wide range. The best-fitting
for our sample SFGs shows a wide coverage, dramatically differing from the
limited range of for a starburst of constant star formation. Our
results show that strong degeneracies between , , and in
the SED fitting induce systematic biases leading to a false --
correlation. Our simulation tests reveal that this relationship can be well
reproduced even when a flat -- relation is taken to build the
input model galaxy SEDs. The variations in best-fitting are dominated
by the fitting errors. We show that assuming a starburst with constant star
formation in SED fitting will result in a steeper attenuation curve, smaller
degeneracy errors, and a stronger -- relation. Our findings
confirm that the -- relation obtained through SED fitting is
likely driven by the systematic biases induced by the fitting degeneracies
between , , and .Comment: 21 pages, 13 figures, accepted for publication in the MNRAS, Comments
welcome
Molecular Epidemiology of SARS-associated Coronavirus, Beijing
Viral adaptation to the host may be occurring under selective immune pressure
Long-term SARS Coronavirus Excretion from Patient Cohort, China
This study investigated the long-term excretion of severe acute respiratory syndrome–associated coronavirus in sputum and stool specimens from 56 infected patients. The median (range) duration of virus excretion in sputa and stools was 21 (14–52) and 27 (16–126) days, respectively. Coexisting illness or conditions were associated with longer viral excretion in stools
Electrochemiluminescence Imaging Hydrogen Evolution Reaction on Single Platinum Nanoparticles Using a Bipolar Nanoelectrode Array
本文制备了嵌于多孔阳极氧化铝(AAO)膜中直径为200 nm,间距为450 nm的高密度(5.7 × 108 cm-2)的金纳米电极阵列,纳米电极分布规则,尺寸高度均一。我们将该金纳米电极阵列作为双极电极阵列,可将电极一侧的电化学法拉第信号在另一侧电极上转化成电致化学发光(ECL)信号,从而实现对单个铂纳米颗粒上氢气析出反应(HER)进行亚微米空间分辨率的电化学成像。本文介绍的方法为高空间分辨率成像电催化材料、能源材料以及细胞过程的局部电化学活性提供了一个良好的平台。A high-density (5.7 × 108 cm-2) nanoelectrode array with the electrode diameter of 200 nm and the interelectrode distance of 450 nm were fabricated. The nanoelectrode array consisted of gold nanowires embedded in a porous anodic aluminum oxide (AAO) matrix, having regular nanoelectrode distribution and highly uniform nanoelectrode size. The gold nanoelectrode array was used as a closed bipolar nanoelectrode array combined with electrochemiluminescence (ECL) method to map the electrocatalytic activity of platinum nanoparticles toward hydrogen evolution reaction (HER) by modifying the catalysts on single nanoelectrodes. Results show that HER on single bipolar nanoelectrodes could be imaged with the sub-micrometer spatial resolution. The present approach offers a platform to image local electrochemical activity of electrocatalytic materials, energy materials and cellular processes with high spatial resolution.通讯作者:夏兴华E-mail:[email protected]:Xing-HuaXiaE-mail:[email protected]生命分析化学国家重点实验室,南京大学化学化工学院,江苏 南京State Key Lab of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering,Nanjing University, Nanjing 210023, Jiangsu Chin
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