Link Prediction Based on Common-Neighbors for Dynamic Social Network

AbstractLink prediction is an important issue in social networks. Most of the existing methods aim to predict interactions between individuals for static networks, ignoring the dynamic feature of social networks. This paper proposes a link prediction method which considers the dynamic topology of social networks. Given a snapshot of a social network at time t (or network evolution between t1 and t2), we seek to accurately predict the edges that will be added during the interval from time t (or t2) to a given future time t′. Our approach utilizes three metrics, the time-varied weight, the change degree of common neighbor and the intimacy between common neighbors. Moreover, we redefine the common neighbors by finding them within two hops. Experiments on DBLP show that our method can reach better results

Numerical simulation of solid tumor blood perfusion and drug delivery during the “vascular normalization window” with antiangiogenic therapy

This Article is provided by the Brunel Open Access Publishing Fund - Copyright @ 2011 Hindawi PublishingTo investigate the influence of vascular normalization on solid tumor blood perfusion and drug delivery, we used the generated blood vessel network for simulations. Considering the hemodynamic parameters changing after antiangiogenic therapies, the results show that the interstitial fluid pressure (IFP) in tumor tissue domain decreases while the pressure gradient increases during the normalization window. The decreased IFP results in more efficient delivery of conventional drugs to the targeted cancer cells. The outcome of therapies will improve if the antiangiogenic therapies and conventional therapies are carefully scheduled

Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?

In this paper, we introduce two local graph features for missing link prediction tasks on ogbl-citation2. We define the features as Circle Features, which are borrowed from the concept of circle of friends. We propose the detailed computing formulas for the above features. Firstly, we define the first circle feature as modified swing for common graph, which comes from bipartite graph. Secondly, we define the second circle feature as bridge, which indicates the importance of two nodes for different circle of friends. In addition, we firstly propose the above features as bias to enhance graph transformer neural network, such that graph self-attention mechanism can be improved. We implement a Circled Feature aware Graph transformer (CFG) model based on SIEG network, which utilizes a double tower structure to capture both global and local structure features. Experimental results show that CFG achieves the state-of-the-art performance on dataset ogbl-citation2.Comment: 3 pages, 2 figures, 1 table, 31 references, manuscript in preparatio

Poly[dimethyl­ammonium [aquadi-μ2-oxalato-samarate(III)] trihydrate]

In the title complex, {(C2H8N)[Sm(C2O4)2(H2O)]·3H2O}n, the SmIII atom is chelated by four oxalate ligands and one water mol­ecule forming a distorted tricapped trigonal–prismatic geometry. Each oxalate ligand chelates to two SmIII atoms, generating a three-dimensional anionic network with cavities in which the ammonium cations and lattice water mol­ecules reside. Various O—H⋯O, N—H⋯O and C—H⋯O hydrogen-bonding inter­actions further stablize the crystal structure

Experimental Test of Quantum Jarzynski Equality with a Trapped Ion System

The past two decades witnessed important developments in the field of non-equilibrium statistical mechanics. Among these developments, the Jarzynski equality, being a milestone following the landmark work of Clausius and Kelvin, stands out. The Jarzynski equality relates the free energy difference between two equilibrium states and the work done on the system through far from equilibrium processes. While experimental tests of the equality have been performed in classical regime, the verification of the quantum Jarzynski equality has not yet been fully demonstrated due to experimental challenges. Here, we report an experimental test of the quantum Jarzynski equality with a single \Yb ion trapped in a harmonic potential. We perform projective measurements to obtain phonon distributions of the initial thermal state. Following that we apply the laser induced force on the projected energy eigenstate, and find transition probabilities to final energy eigenstates after the work is done. By varying the speed of applying the force from equilibrium to far-from equilibrium regime, we verified the quantum Jarzynski equality in an isolated system.Comment: 18 pages, 4 figures, 1 tabl

Cloning and characterization of peptidylprolyl isomerase B in the silkworm, Bombyx mori

Peptidylprolyl isomerases (PPIases) play essential roles in protein folding and are implicated in immune response and cell cycle control. Our previous proteomic analysis indicated that Bombyx mori PPIases may be involved in anti- Bombyx mori nucleopolyhedrovirus (BmNPV) response. To help investigate this mechanism, we cloned a B. mori PPIase gene PPIB and characterized it by bioinformatic and experimental analysis. We found that the B. mori PPIB gene contains 4 exons and its cDNA is about of618 bp, encoding a protein of 205 amino acid residues (21474.41 Da) with an isoelectric point of 8.05. PPIB contains conserved and unique cyclophilin domain and belongs to cyclophilin superfamily. Its transcription could be detected by PCR in all the B. mori tissue samples, which is consistent withnormal PPIase expression pattern and their essential roles. It is localized in cytoplasm revealed by fluorescence microscopy. We also successfully expressed this protein in E. coli and characterized it by SDS-PAGE and Mass Spectrometry. The cloned DNA sequence was submitted to GenBank (EU583493)

Unveiling Hidden Physics in the 215-Kelvin Superconducting Calcium Hydride: Temperature, Quantum and Defect Effects

Temperature and quantum effects induce the structural complexity of condensed hydrogen, and therefore they are expected to impact nontrivially the structures of clathrate hydrides. Exemplified by clathrate calcium hydride, we show through ab initio (path-integral) molecular dynamics simulations that these effects are indeed pivotal at 100-200 GPa. The quantum equation of states derived at 300 K suggests that the synthesized samples in previous experiments were berthollide-like CaH$_{6-\delta}$, with the stoichiometric defect $\delta$ increasing smoothly during decompression. The change of composition provides an explanation for the experimental observation of positive pressure dependence of superconducting T$_c$ below 165 GPa. Furthermore, we find significant proton diffusion in CaH$_{6-\delta}$ at 150-300 K, with the diffusion coefficient reaching 10$^{-7}$ cm$^{2}$/s. This suggests a coexistence of superconductivity and proton diffusion in clathrate hydrides. Our findings underline the importance of temperature, quantum and defect effects to the understandings of the structure and pertinent physics in high-T$_c$ superconducting clathrate hydrides.Comment: 9 pages, 3 figure