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Steam-Chest Molding of Expanded Polypropylene Foams. 2. Mechanism of Interbead Bonding
Zhai, Wentao,Kim, Young-Wook,Jung, Dong Won,Park, Chul B. American Chemical Society 2011 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH - Vol.50 No.9
<P>Expanded polypropylene (EPP) bead foams were processed using steam-chest molding. Interbead bonds formed during processing and was characterized by observing both the product surface and the fracture surfaces using scanning electron microscopy (SEM) and by measuring the tensile properties of specimens. It was found that both the degree of interbead bonding and the tensile strength had a direct relationship to the steam pressure/temperature and that high steam temperature enhanced the crystallization behavior of EPP beads during the cooling process. A formation mechanism of interbead bonding during processing was proposed based on the crystal melting behaviors, as discussed in the first article of this series (<name name-style='western'>Zhai</name> et al. Ind. Eng. Chem. Res.<x xml:space='preserve'> </x>2010<x xml:space='preserve'>, </x>49<x xml:space='preserve'>, </x>9822). Possible parameters influencing the formation of interbead bonding, namely, steam temperature/pressure and bead foam expansion ratio, were investigated in this study. The effect of postannealing of the EPP products on the shrinkage and crystallinity of the molded EPP products was also addressed.</P>
Jing Zhai,Weishan Chang,Zhenzhen Zhai,Xingliang Ma,Lingling Yang,Jinfeng Ti,Daozhen Song,Shijun Fu,Dapeng Li 한국유전학회 2016 Genes & Genomics Vol.38 No.8
Few studies have attempted to characterize the pheasant (Phasianus colchicus) immunoglobulin Y (IgY) heavy chain constant region. In the present study, fragments of the pheasant IgY heavy chain constant region were cloned, analyzed, and expressed. The cross-reactivity of IgY or immunoglobulin G (IgG)s with antigens from other vertebrate species was determined using dot-enzymelinked immunosorbent assay and western blot analysis. Five peptides of the pheasant IgY heavy chain constant region were synthesized to determine its immunoregulatory activity in vitro. The IgY heavy chain constant region from pheasant showed the highest homology with that from chicken (71.2 %) and duck (49.1 %). Phylogenetic analysis for IgY showed that pheasant was closely related to chicken and duck than to any other analyzed vertebrate species. The rabbit anti-chicken IgG showed immunologic cross-reactivity with recombinant proteins of the pheasant IgY heavy chain constant region. Four peptides were able to induce significant up-regulation of interleukin (IL)-1b, IL-4, and interferon-c in chicken peripheral blood lymphocytes, suggesting a new role of avian IgY in immune regulation.
Ming-xia Jiang,Li-jie Zhai,Hua Yang,Shu-menghui Zhai,Cheng-kai Zhai 한국식품영양과학회 2016 Journal of medicinal food Vol.19 No.8
The ancient Chinese wild rice (Zizania latifolia (Griseb) Turcz) (CWR) has valuable biological and medicinal functions. To assess the advantages lost in modern cultivated rice after domestication, we compared the composition of bioactive compounds and the results of proteomic analysis with those of Indica rice (N22). We used routine methods to determine the protein, total dietary fiber, amino acid, mineral substance, plant secondary metabolites, and amino acid composition of CWR and N22. The protein and mineral contents of CWR were two times that of N22, and the levels of calcium, potassium, magnesium, chromium, iron, and zinc were significantly higher than those of N22 (P < .05). There was ~7.6 times more dietary fiber in CWR than in N22, but fewer carbohydrates (P < .05). Anthocyanins and chlorophyll were detected in CWR, but were absent from N22. Compared with N22, CWR had 53, 19, and 5.4 times higher (P < .05) levels of saponins, flavonoids, and plant sterols, respectively. The amino acid score of CWR was 66.6, which was significantly higher than N22. Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) indicated that the main seed proteins of CWR were glutelins, including both acid and alkaline subunits, which were approximately twice those of N22. To investigate the differences in protein profiles between CWR and N22, we conducted two-dimensional electrophoresis (2-DE) analysis of the total proteins in the seeds of the two rice species. 2-DE gels revealed 19 differentially expressed proteins. Information obtained from peptide mass fingerprinting indicates that glutelin precursor caffeoyl coenzyme A (CoA) O-methyltransferase and putative bithoraxoid-like protein can provide good gene sources for improving rice quality.
Analysis on Spillover Effect of Share Price and Volatility
Zhai Shuai 한국유통과학회 2014 한국유통과학회 학술대회 논문집 Vol.2014 No.-
With TGARCH model, this paper empirically examines the spillover effect of price and volatility among the two markets using sample of 18 dually-listed stocks' daily data from mainland and Hong Kong Stock Exchanges. We get the conclusion as follows: Return of half dually-listed A shares are in line with the Hong Kong market and the opposite influences are different due to different stocks; spillover effect exists among the two markets, the volatility of Hong Kong market is influenced by the mainland market more obviously than Hong Kong market to mainland market; information asymmetry is obvious among the two markets; good information has a leverage effect, and good information of A share market hasa more notable effect to Hong Kong market in volatility effect than Hong Kong to A share market.
Zhai Shuai,Chao Mao 한국유통과학회 2012 한국유통과학회 학술대회 논문집 Vol.2012 No.-
This paper discussed the heterogeneous fixed fleet vehicle routing problem with pick-up and delivery, which different type vehicles have different capacities, fixed costs and travel costs. A more practical mathematical model was established and because the NP-hard, we improved the traditional simulation annealing algorithm and test the new algorithm through a certain scale example. The results show that the new algorithm can obtain better solution, better stability. Through comparing the results of HFFVRP and HFFVRPPD, this paper illustrates the advantages of using HFFVRPPD for physical distribution enterprises in saving distribution vehicles, reducing logistics cost and raising economic benefits.
Dynamics of high-speed train in crosswinds based on an air-train-track interaction model
Zhai, Wanming,Yang, Jizhong,Li, Zhen,Han, Haiyan Techno-Press 2015 Wind and Structures, An International Journal (WAS Vol.20 No.2
A numerical model for analyzing air-train-track interaction is proposed to investigate the dynamic behavior of a high-speed train running on a track in crosswinds. The model is composed of a train-track interaction model and a train-air interaction model. The train-track interaction model is built on the basis of the vehicle-track coupled dynamics theory. The train-air interaction model is developed based on the train aerodynamics, in which the Arbitrary Lagrangian-Eulerian (ALE) method is employed to deal with the dynamic boundary between the train and the air. Based on the air-train-track model, characteristics of flow structure around a high-speed train are described and the dynamic behavior of the high-speed train running on track in crosswinds is investigated. Results show that the dynamic indices of the head car are larger than those of other cars in crosswinds. From the viewpoint of dynamic safety evaluation, the running safety of the train in crosswinds is basically controlled by the head car. Compared with the generally used assessment indices of running safety such as the derailment coefficient and the wheel-load reduction ratio, the overturning coefficient will overestimate the running safety of a train on a track under crosswind condition. It is suggested to use the wheel-load reduction ratio and the lateral wheel-rail force as the dominant safety assessment indices when high-speed trains run in crosswinds.
Construction of optimal designs for quantile regression model via particle swarm optimization
Zhai Yi,Xing Chen,Fang Zhide 한국통계학회 2023 Journal of the Korean Statistical Society Vol.52 No.4
As an extension of mean regression and being robust against outliers, quantile regression has been used in many fields such as biomedicine, ecology, economics. However, it is theoretically and computationally challenging to find the optimal experimental design for quantile regression due to the complexity of the optimiza- tion problem. The purpose of this paper is to provide theoretical necessary conditions for A- and c-optimality of a design separately, and a numerical algorithm to find optimal designs for quantile regression models. The algorithm is constructed through particle swarm optimization so as to solve the problem of non-convexity of optimality criteria. In this paper, the algorithm is applied to obtain locally as well as Bayesian optimal designs for Michaelis–Menten, Emax and Exponential quantile regression models. We demonstrate that this technique can be applied to a variety of optimality criteria and scale functions without making any further assumption.