A Novel Personalized Academic Knowledge Sharing System in Online Social Network

Information overload is a major problem for both readers and authors due to the rapid increase in scientific papers in recent years. Methods are proposed to help readers find right papers, but few research focuses on knowledge sharing and dissemination from authors’ perspectives. This paper proposes a personalized academic knowledge sharing system that takes advantages of author’s initiatives. In our method, we combine the user-level and document-level analysis in the same model, it works in two stages: 1) user-level analysis, which is used to profile users in three dimensions (i.e., research topic relevance, social relation and research quality); and 2) document-level analysis, which calculates the similarity between the target article and reader’s publications. The proposed method has been implemented in the ScholarMate, which is a popular academic social network. The experiment results show that the proposed method can effectively promote the academic knowledge sharing, it outperforms other baseline methods

Poly[bis­[chlorido­cop­per(I)]-μ4-1,4-bis­[1-(3-pyridylmeth­yl)-1H-benzimid­azol-2-yl]butane]

The title CuI coordination polymer, [Cu2Cl2(C30H28N6)]n, was obtained by reaction of CuCl2·2H2O and 1,4-bis­[1-(3-pyridyl­meth­yl)-1H-benzimidazol-2-yl]butane. Each CuI cation is three-coordinated by a ClN2 donor set. The anion acts as a tetra­dentate ligand, linking CuI centres into a polymeric chain

(Benzene-1,3-dicarboxyl­ato-κ2 O 1,O 1′)(1,12,15,26-tetra­aza-5,8,19,22-tetra­oxa-3,4:9,10:17,18:23,24-tetra­benzocyclo­octa­cosane-κ4 N 1,N 12,N 15,N 26)cadmium(II) benzene-1,3-dicarboxylic acid solvate

In the title compound, [Cd(C8H4O4)(C36H44N4O4)]·C8H6O4, the CdII atom is six-coordinated by four N atoms from the macrocyclic ligand and two O atoms from a benzene-1,3-dicarboxyl­ate ligand. The complex mol­ecules are linked by N—H⋯O hydrogen bonds, forming a one-dimensional chain structure along the b axis. The chains are further connected through N—H⋯O and O—H⋯O hydrogen bonds between the complex mol­ecule and an uncoordinated benzene-1,3-dicarboxylic acid mol­ecule, resulting in a two-dimensional supra­molecular network

Exploring crowd persistent dynamism from pedestrian crossing perspective: An empirical study

Crowd studies have gained increasing relevance due to the recurring incidents of crowd crush accidents. In addressing the issue of the crowd's persistent dynamism, this paper explored the macroscopic and microscopic features of pedestrians crossing in static and dynamic contexts, employing a series of systematic experiments. Firstly, empirical evidence has confirmed the existence of crowd's persistent dynamism. Subsequently, the research delves into two aspects, qualitative and quantitative, to address the following questions:(1) Cross pedestrians tend to avoid high-density areas when crossing static crowds and particularly evade pedestrians in front to avoid deceleration, thus inducing the formation of cross-channels, a self-organization phenomenon.(2) In dynamic crowds, when pedestrian suffers spatial constrained, two patterns emerge: decelerate or detour. Research results indicate the differences in pedestrian crossing behaviors between static and dynamic crowds, such as the formation of crossing channels, backward detours, and spiral turning. However, the strategy of pedestrian crossing remains consistent: utilizing detours to overcome spatial constraints. Finally, the empirical results of this study address the final question: pedestrians detouring causes crowds' persistent collective dynamism. These findings contribute to an enhanced understanding of pedestrian dynamics in extreme conditions and provide empirical support for research on individual movement patterns and crowd behavior prediction.Comment: 31pages, 17figure

Improved PSO algorithm based on chaos theory and its application to design flood hydrograph

AbstractThe deficiencies of basic particle swarm optimization (bPSO) are its ubiquitous prematurity and its inability to seek the global optimal solution when optimizing complex high-dimensional functions. To overcome such deficiencies, the chaos-PSO (COSPSO) algorithm was established by introducing the chaos optimization mechanism and a global particle stagnation-disturbance strategy into bPSO. In the improved algorithm, chaotic movement was adopted for the particles' initial movement trajectories to replace the former stochastic movement, and the chaos factor was used to guide the particles' path. When the global particles were stagnant, the disturbance strategy was used to keep the particles in motion. Five benchmark optimizations were introduced to test COSPSO, and they proved that COSPSO can remarkably improve efficiency in optimizing complex functions. Finally, a case study of COSPSO in calculating design flood hydrographs demonstrated the applicability of the improved algorithm

N,N′-Bis(2-hydroxy­ethyl)-N,N′-[ethyl­ene­dioxy­bis(o-phenyl­enemethyl­ene)]­diammonium fumarate tetra­hydrate

The reaction of 1,2-bis­{2-[(2-hydroxy­ethyl)amino­methyl]­phen­oxy}ethane and fumaric acid in a mixed solution in ethanol–water (1:1 v/v) yields the title compound, C20H30N2O4 2+·C4H2O4 2−·4H2O. In the crystal structure, the anions, cations and water mol­ecules are connected via O—H⋯O and N—H⋯O hydrogen bonds into a three-dimensional network. The fumarate anion and the N,N′-bis­(2-hydroxy­ethyl)-N,N′-[ethyl­enedioxy­bis(o-phenyl­enemethylene)]diammonium cation are located on centers of inversion, whereas the two crystallographically independent water mol­ecules occupy general positions

1,8,16,23-Tetra­kis(2-cyano­benz­yl)bis-p-xylylbis-m-xylyldiamine

The title compound {systematic name: 2,2′,2′′,2′′′-[3,7,11,15-tetra­aza-1(1,4),5(1,3),9(1,4),13(1,3)-tetra­benzena­cyclo­hexadeca­phane-3,7,11,15-tetra­yltetra­methyl­ene]tetra­benzonitrile}, C64H56N8, is a centrosymmetric macrocycle that is consolidated into the crystal structure by C—H⋯π inter­actions