Layout optimization for multi-bi-modulus materials system under multiple load cases

Financial support from the National Natural Science Foundation of China (Grant No. 51179164) and the Australian Research Council (Grant No. DP140103137) is acknowledged

Genetic learning particle swarm optimization

Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance enhancement. However, existing work uses a mechanistic parallel superposition and research has shown that construction of superior exemplars in PSO is more effective. Hence, this paper first develops a new framework so as to organically hybridize PSO with another optimization technique for “learning.” This leads to a generalized “learning PSO” paradigm, the *L-PSO. The paradigm is composed of two cascading layers, the first for exemplar generation and the second for particle updates as per a normal PSO algorithm. Using genetic evolution to breed promising exemplars for PSO, a specific novel *L-PSO algorithm is proposed in the paper, termed genetic learning PSO (GL-PSO). In particular, genetic operators are used to generate exemplars from which particles learn and, in turn, historical search information of particles provides guidance to the evolution of the exemplars. By performing crossover, mutation, and selection on the historical information of particles, the constructed exemplars are not only well diversified, but also high qualified. Under such guidance, the global search ability and search efficiency of PSO are both enhanced. The proposed GL-PSO is tested on 42 benchmark functions widely adopted in the literature. Experimental results verify the effectiveness, efficiency, robustness, and scalability of the GL-PSO

Tetra­kis(μ2-phenyl­acetato-κ2 O:O′)bis­[(isoquinoline-κN)copper(II)]

In the title centrosymmetric binuclear CuII complex, [Cu2(C8H7O2)4(C9H7N)2], the two Cu cations are bridged by four carboxyl­ate groups of the phenyl­acetate anions; each Cu cation is further coordinated by an isoquinoline ligand to complete the distorted CuO4N square-pyramidal geometry. The Cu cation is displaced by 0.2092 (8) Å from the basal plane formed by the four O atoms. Within the dinuclear mol­ecule, the Cu⋯Cu separation is 2.6453 (6) Å. Although a parallel, overlapped arrangement of isoquinoline ligands exists in the crystal structure; the longer face-to-face distance of 3.667 (5) Å suggests there is no π–π stacking between isoquinoline ring systems

Product Market Effects of Customer Referencing

Customer referencing refers to the phenomenon that a firm intentionally reveals its connections to customers to raise its own reputation. In this paper, we rely on textual data about customer referencing in financial reports to examine the association between customer referencing and firms’ future product market performance. We first document that a substantial number of firms voluntarily reference customers in financial reports. We find that these firms have a better future performance, consistent with the notion that the customers being referenced certify product quality and enhance a firm’s reputation. We also find that the positive association is stronger for firms with a low reputation and those that are risky or facing high product market competition. These results further affirm the product quality certification and reputation enhancement roles of customer referencing. Our study provides new insight into how certification via inter-organizational relationships can be an intangible marketing asset

Research progress on the pathogenesis of arthritis

Juvenile Idiopathic Arthritis (JIA) pathogenesis is not very clear, but it may be associated with specific components of various infectious microorganisms as foreign antigens for people with a genetic background, activate immune cells, and trigger an abnormal immune response by directly damaging or secreting cytokines, autoantibodies. Cause damage and degeneration of our own organization. Especially certain bacteria, viruses, special components (such as HSP) can be used as superantigens, T cells are activated directly by binding to T cell receptors (TCR) with a special variable region β chain (chain) structure and stimulate immune damage. Self-tissue denaturing components (endogenous antigens), can also be used as an antigen to trigger an immune response to its own tissue components. Further aggravate the immune damage. Intestinal microbial groups and environmental factors may also play an important role in the pathogenesis of JIA