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Community detection refers to the problem of clustering the nodes of a network (either graph or hypergrah) into groups. Various algorithms are available for community detection and all these methods apply to uncensored networks. In practice, a network may has censored (or missing) values and it is shown that censored values have non-negligible effect on the structural properties of a network. In this paper, we study community detection in censored m-uniform hypergraph from information-theoreticarXiv:2111.03179v1 fatcat:34mzubymsvhwfk32x7ha55jyvy
more »... point of view. We derive the information-theoretic threshold for exact recovery of the community structure. Besides, we propose a polynomial-time algorithm to exactly recover the community structure up to the threshold. The proposed algorithm consists of a spectral algorithm plus a refinement step. It is also interesting to study whether a single spectral algorithm without refinement achieves the threshold. To this end, we also explore the semi-definite relaxation algorithm and analyze its performance.
Zhao et al.  proposed that AOMT could be responsible for pomegranate peel and aril color transition from white to red. ... Yuan et al.  constructed a phylogenetic tree with six species of AOMT genes and put forward the assumption that high copy number of AOMTs were responsible for producing anthocyanin. ...doi:10.3390/agronomy11020318 fatcat:blpmee6pvvgdlnvqgutuahe6mi
Community detection is widely used in analysis of social networks (Goldenberg et al. (15) ; Zhao et al. ...doi:10.5705/ss.202021.0392 fatcat:xdtrwxlqq5glnolnt7wtecxlsq
A multi-wall carbon nanotubes (MWNTs)-quantum dots (QDs) composite-modified glassy carbon electrode (GCE) was prepared. The complex was characterized by transmission electron microscopy (TEM). The electrochemical behavior of levodopa at MWNTs and QDs-modified GCEs (MWNTs-QDs/GCE) was studied by cyclic voltammetry (CV) and chronocoulometry (CC). It was found that its electrochemical behavior was a two-charge-two-proton process. The modified electrode had high electrocatalytic activity fordoi:10.2116/analsci.23.1321 pmid:17998753 fatcat:gkilrjkqtvestfvcbww2dnkkke
more »... a with a standard heterogeneous rate constant of 0.595 cm s -1 , which was greatly increased compared with the values for bare GCE and individual MWNTs modified GCE. The better electrocatalytic activity for levodopa at MWNTs-QDs/GCE may due to a synergistic effect between MWNTs and QDs. This result provides a novel way to promote research on biomicromolecules at nano-dimensions.
Yuan) and Natural Science Foundation of Jiangsu College of China (17KJB190002). ... Foundation of Jiangsu Province (BK20181029)，the Fundamental Research Funds for the Central Universities (B200202152; B200204015), 2020 Jiangsu Qinglan Project of Jiangsu Higher Education Institutions (to Yuan ...doi:10.22452/mjlis.vol26no1.7 fatcat:fzgalc3w3zdszaru7huvncrgha
Citation Tian Z Y, Zhao Y-Y, Wu H, et al. Experimental test of Tsirelson's bound with a single photonic qubit. ...doi:10.1007/s11432-020-2901-0 fatcat:rtb4uyadu5erjptkcwvurjrdmy
Two-dimensional materials offer opportunities for unravelling unprecedented ordered states at single layer limit. Among such ordered states, Mott phase is rarely explored. Here, we report the Mott phase in van der Waals chromium (II) iodide (CrI2) films. High quality CrI2 films with atomically flat surface and macro size are grown on graphitized 6H-SiC(0001) substrate by molecular beam epitaxy. By in situ low temperature scanning tunneling microscopy and spectroscopy (STM/STS), we reveal thatarXiv:1912.04069v1 fatcat:2jgvivdvzrhzjdpdholhu3bm6y
more »... e film has a band gap as large as ~3.2 eV, which is nearly thickness independent. Density functional plus dynamic mean field theory calculations suggest that CrI2 films may be a strong Mott insulator with a ferromagnetically ordered ground state. The Mott phase is corroborated by the spectral band splitting, that is consistent with the extended Hubbard model, and gap reduction at charge dopants. Our study provides a platform for studying correlated electron states at single layer limit.
ORCID iD Shimin Zhao http:// orcid. org/ 0000-0002-3674-9107 ...doi:10.1136/jitc-2021-002840 pmid:34326168 pmcid:PMC8323461 fatcat:arwprchwlnfddg5xw276yof5vq
It is accepted that endothelial progenitor cells (EPCs) are recruited into tumor sites and take part in the neovascularization of tumors. However, few articles have discussed the specific distribution of EPCs in vivo in tissues of gastric cancer patients. For this reason, the present study sought to elucidate EPC distribution in vivo in tissues of patients with gastric cancer. Fresh tumor tissues were collected from 26 newly diagnosed patients with histologically confirmed gastric cancer (meandoi:10.3892/ol.2014.1944 pmid:24765203 pmcid:PMC3997668 fatcat:2bcepdfu5bhqbebiguix4ve2ai
more »... ge, 51 years; range, 21-81 years; 7 females, 19 males). All patients were treated surgically with curative intent. One portion of the fresh tissues was prepared for flow cytometric analysis and another was immediately snap frozen in liquid nitrogen and stored at -80°C for later use in quantitative polymerase chain reaction. The analysis was based on two groups of tissues, namely the cancer group and cancer-adjacent group. The presence of CD34/CD133 double-positive cells was determined in cancer-adjacent and cancer tissues by flow cytometry. The analysis revealed that the total number of EPCs in cancer tissue was slightly greater than the number in the cancer-adjacent tissue, but not to the point of statistical significance. The number of EPCs in cancer-adjacent and cancer tissues of patients with early-stage gastric cancer was higher than the EPC count in late-stage gastric cancer patients, and significant differences were identified in the number of EPCs in cancer tissue between patients of different tumor stages. Levels of cluster of differentiation (CD)34, CD133 and vascular endothelial growth factor receptor 2 were not significantly different in cancer-adjacent tissue compared with cancer tissue. These results suggest that cancer-adjacent and cancer tissue of gastric cancer patients may be used as a reference index in the clinical and pathological staging of tumors.
We present a range-gating delayed detection super-resolution imaging lidar with high accuracy based on the signal intensities of three consecutive delay samples. The system combines the range and signal intensity information from multi-pulse detections to calculate the pulse peak position under the assumption of a Gaussian pulse shape. Experimental results indicate that the proposed algorithm effectively calculates pulse peak position and exhibits excellent accuracy with super-resolution.doi:10.3788/col201210.122802 fatcat:r4hjnm5rbvhrne2zrxqkdwqbqe
more »... cy analysis shows that accuracy is best improved by enhancing signal-to-noise ratio, strategically selecting samples, reducing pulse width, and appropriately choosing the delayed periods between samples.
With the development of earth observation technology, massive amounts of remote sensing (RS) images are acquired. To find useful information from these images, cross-modal RS image-voice retrieval provides a new insight. This paper aims to study the task of RS image-voice retrieval so as to search effective information from massive amounts of RS data. Existing methods for RS image-voice retrieval rely primarily on the pairwise relationship to narrow the heterogeneous semantic gap between imagesarXiv:2103.05302v1 fatcat:qjwrun343jbmbbheur2oolwmke
more »... and voices. However, apart from the pairwise relationship included in the datasets, the intra-modality and non-paired inter-modality relationships should also be taken into account simultaneously, since the semantic consistency among non-paired representations plays an important role in the RS image-voice retrieval task. Inspired by this, a semantics-consistent representation learning (SCRL) method is proposed for RS image-voice retrieval. The main novelty is that the proposed method takes the pairwise, intra-modality, and non-paired inter-modality relationships into account simultaneously, thereby improving the semantic consistency of the learned representations for the RS image-voice retrieval. The proposed SCRL method consists of two main steps: 1) semantics encoding and 2) semantics-consistent representation learning. Firstly, an image encoding network is adopted to extract high-level image features with a transfer learning strategy, and a voice encoding network with dilated convolution is devised to obtain high-level voice features. Secondly, a consistent representation space is conducted by modeling the three kinds of relationships to narrow the heterogeneous semantic gap and learn semantics-consistent representations across two modalities. Extensive experimental results on three challenging RS image-voice datasets show the effectiveness of the proposed method.
Chengsheng Mao and Yuan Zhao are co-first authors. Dr. Yuan Luo is the corresponding author. ...arXiv:1806.05520v1 fatcat:4y6vvi46jrh55d5zeest25qaay
Corannulene–fullerene C70 noncovalent interactions and their effect on the behavior of charge transport and optical property are investigated at a molecular level via the dispersion-corrected density functional theory calculations.doi:10.1039/c7ra03923a fatcat:xyk25rmt4ncbbhubts3ukgmhse
In cancer cells, the mammalian target of rapamycin complex 1 (mTORC1) that requires hormonal and nutrient signals for its activation, is constitutively activated. We found that overexpression of pyruvate kinase M2 (PKM2) activates mTORC1 signaling through phosphorylating mTORC1 inhibitor AKT1 substrate 1 (AKT1S1). An unbiased quantitative phosphoproteomic survey identified 974 PKM2 substrates, including serine202 and serine203 (S202/203) of AKT1S1, in the proteome of renal cell carcinoma (RCC).doi:10.1038/srep21524 pmid:26876154 pmcid:PMC4753445 fatcat:x4suk4fnqndgjhdvjoddt66zui
more »... Phosphorylation of S202/203 of AKT1S1 by PKM2 released AKT1S1 from raptor and facilitated its binding to 14-3-3, resulted in hormonal-and nutrient-signals independent activation of mTORC1 signaling and led accelerated oncogenic growth and autophagy inhibition in cancer cells. Decreasing S202/203 phosphorylation by TEPP-46 treatment reversed these effects. In RCCs and breast cancers, PKM2 overexpression was correlated with elevated S202/203 phosphorylation, activated mTORC1 and inhibited autophagy. Our results provided the first phosphorylome of PKM2 and revealed a constitutive mTORC1 activating mechanism in cancer cells. The mTORC1 complex integrates growth factor signals with the nutrients signals to control cell growth and proliferation 1 . The availability of growth factors, free essential amino acids and glucose determines cell growth and proliferation. In cancer cells, mTORC1 is constitutively activated regardless the fluctuation of growth factors and nutrients 2,3 . This suggests that cancer cells may employ unique mechanism to activate mTORC1 and provide survival, and growth and proliferation advantages over normal cells. The mTORC1 is a major anabolic regulator that controls an array of macromolecule biosynthetic processes, such as protein translation, mRNA transcription, ribosome biogenesis, lipid biogenesis, autophagy, mitochondrial function and the immune response 4 . The activity of mTORC1 is sensitive to rapamycin, insulin, insulin like growth factor 1 (IGF1), oxygen and amino acids signals and is suppressed by AKT1 substrate 1 (AKT1S1) through binding to regulatory-associated protein of mTOR (raptor), a component of mTORC1 5,6 . Constitutively activation of mTORC1 in cancer cells not only ensure their switches from catabolic metabolism to anabolic metabolism that is required to sustain their unconstrained growth 7 , but also acquire other cancer-promoting consequences such as autophagy inhibition 8 . Oncogene mutations, such as in PI3K, Ras, Raf, growth factor receptor kinases and autocrine growth factors 9-11 , or inactivation of tumor suppressors such as PTEN, AMPK, TSC2, LKB1, NF1 12,13 are all found to be able to activate mTORC1. However, unique common mTORC1 activating mechanisms may exist since these mutations may not always exist in one type of cancers.
Polycationic vectors are used widely in the field of gene delivery, while currently their immune activities in vivo are poorly understood. In this comprehensive review, we aim to present an overview of existing mechanisms of adverse immune responses induced by the polycation/gene complexes, which includes the polycations themselves, the gene sequences and the ROS produced by them. These causes can induce pro-inflammatory cytokines, hypersensitivity as well as the activation of toll-likedoi:10.3389/fphar.2017.00510 pmid:28824434 pmcid:PMC5543280 fatcat:aij7c2sjzrho7bnn6fqwfpu6nm
more »... s, and finally the immunostimulation occur. In addition, we introduce some different opinions and research results on the immunogenicity of classical polycations such as polylysine (PLL), polyethyleneimine (PEI), polyamidoamine dendrimers (PAMAM), chitosan and gelatin, most of which have immunogenicity and can induce immunoreactions in vivo. The methods now used to adjust their immunogenicity are shown in the final part of this review. Nowadays, there is still no accurate conclusion on immunogenicity of polycations, which confuses researchers seriously in in vivo test. We conclude that further research is needed in order to skillfully utilize or inhibit the immunogenicity of these polycationic vectors.
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