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Blockchain technology could effectively solve the problems of lack of trust,malicious tampering and false transactions.However,the open and transparent characteristics of the blockchain make the distributed energy trading model based on the blockchain extremely vulnerable to be attacked,leading to the disclosure of user’s privacy.Therefore,a privacy-preserving scheme BLDP-AM based on differential privacy algorithm and account mapping technology is proposed to protect the privacy information of trading data.Our scheme redesigns the data perturbation mechanism of the local differential privacy algorithm to make it applicable to blockchain technology,and constructs the BLDP algorithm based on this perturbation mechanism to protect the privacy of transaction data.At the same time,in order to ensure the correctness of trading and hide the characteristics of the trading curve,our scheme first associates users with multiple accounts through account mapping technology,then uses the exponential smoo-thing prediction algorithm to calculate the trading prediction value of each account,and finally uses the BLDP algorithm to perturb the trading prediction value to obtain the real trading value and conduct trading.Our scheme not only guarantee the correctness of transactions but also achieve the purpose of protecting the privacy of trading data.The privacy analysis proves the feasibility of the scheme in protecting user privacy,and the experimental analysis shows that the scheme has better performance.

By analyzing the shortcomings of traditional teaching model, and combining the characteristic of strong practicalness in embedded system courses, the paper puts forward a project-based teaching method with ability progressively increase, and designs the "practice as being taught" model. The method makes the projects as the teaching support, and organizes the teaching contents with some integrated projects and splits them. The teaching process is designed around the sub-projects, and it is implemented from shallower to deeper, and with ability progressively increase. The teaching method is practiced on the embedded system courses in my school, in which the projects are constructed according to practical application. The practice shows that the proposed teaching method can improve students' practice ability and enhance their awareness of project development, it is a beneficial attempt in teaching reform under the new situation. [ABSTRACT FROM AUTHOR]

To solve the no-wait flexible flow shop scheduling problem with makespan criterion, a hybrid approach which combined particle swarm optimization (PSO) algorithm with NEH algorithm was proposed. PSO algorithm was used to deal with machine assignment problem and implement the global optimization, while the improved NEH algorithm was employed to order the jobs and parallel mobile method based on the difference value was put forward to get the objective. In the processing of the algorithm, the premature convergence phenomenon was avoided by mutating the particles that were stagnant. Computational results based on the typical benchmark suites show that the proposed algorithm is feasible and effective. [ABSTRACT FROM AUTHOR]

According to the flexible flow shop scheduling problem with blocking and no-wait constraints, this paper proposed a discrete particle swarm optimization (DPSO) algorithm. Based on the permutation based encoding scheme, it designed a forward-iterative algorithm for decoding and obtaining the objective, used DPSO for global optimization, introduced iterated greedy (IG) algorithm to improve the particles' local searching ability. Besides, it put forward the first release first (FRF) and first complete first (FCF) policies for selecting the processing machines. Experiment results show that the proposed method to solve the flexible flow shop scheduling problem with mixed constraints is feasible and effective. [ABSTRACT FROM AUTHOR]

Inoculating granular sludge is an alternative method for the quick start-up of a high-performance autotrophic nitrogen removal reactor. In order to establish the response relationship between sludge activation and reactor performance, the freeze-stored granular sludge was inoculated into a continuous-flow reactor, and a control strategy of the high loading rate and high hydraulic selective pressure was carried out in this study. As a result, a one-stage partial nitritation/ANAMMOX process was started up in 34 days, and the removal efficiency of total nitrogen was over 83%, with a removal loading rate of total nitrogen of 1.67 kg·(m 3 ·d) -1 . During this period, the Image pro-plus software was employed to analyze the evolution of the characteristic dimensions of particles. A good linear positive correlation ( R 2 =0.988) between the projected area of the erythrine zone in the inner layer and the specific nitrogen removal rate of granules was found, which provide a simple method to estimate the activity of the PN/A granules. The results of MiSeq high-throughput sequencing showed that the enrichment of aerobic ammonia-oxidizing bacteria ( Nitrosomonas ) and the wash-out of heterotrophic bacteria (such as Denitratisoma and Haliangium, etc.) were achieved in the start-up of the reactor. Meanwhile, the improvement in granular compactness was in favor of activating anaerobic ammonia oxidizing bacteria ( Candidatus_Kuenenia , abundance>30%) that colonized the inner layer of the granules.

Objective: To investigate the application of pulsed-field gel electrophoresis (PFGE) in food-borne outbreak., Methods: Pathogens were isolated and further characteristics identified by traditional methods. The strains isolated were carried out with molecular typing with using PFGE. PFGE was performed by Laboratory Directions for molecular subtyping of Salmonella by PFGE (CDC, USA) and the results of PFGE were analyzed by BioNumerics soft., Results: Totally 14 Salmonella serotype Muenchen strains were isolated from 19 patients, 3 of 9 suspicious foods were positive for S. muenchen and 7 strains were isolated from 18 cooks. The biochemistry characterization and antimicrobial susceptibility of all the strains isolated were the same. 23 S. muenchen isolates were all shown indistinguishable by PFGE., Conclusion: PFGE should play a key role in identifying the outbreak-associated isolates and distinguishing them from unrelated sporadic isolates. It might also demonstrate that the genetic fingerprints of serotype Muenchen isolates derived from patients were indistinguishable from those derived from drinks. PFGE might provide precise information on bacterial food-borne pathogens, promptly identify the source of infection, and effectively prevent from spreading. It should be one of the early warning method on controlling outbreak of the food-borne disease.

Objective: To construct a plasmid vector expressing the short hairpin RNA (shRNA) targeting proliferation cell nuclear antigen (PCNA), and to investigate its effect in vitro on the expression of PCNA, proliferation and apoptosis of human osteosarcoma cells., Methods: A plasmid vector expressing the short hairpin RNA targeting at PCNA was constructed and transfected into human osteosarcoma cell line MG-63 by dosper liposomal method. PCNA mRNA and protein expressions were examined using RT-PCR and immunohistochemical staining, respectively. Inhibition of the cell proliferation was studied by MTT method and colony forming assay. DNA synthesis was analyzed by (3)H-TdR incorporation and the cell cycle was determined by flow cytometry. The apoptotic cells were stained with acridine orange., Results: Expression of PCNA mRNA after the transfection was markedly inhibited by 80.51% with a PI value of 25.68% of that of the control group. PCNA shRNA inhibited MG-63 cell growth detected by using MTT method, with an inhibition rate of 61.78% at 48 h. DNA synthesis rate also decreased in the (3)H-TdR incorporation test. Flow cytometry analysis showed an increase of the percentage of G(0)/G(1) phase cells, along with a decrease of cell population in the S phase. The apoptosis rate of cells transfected with the plasmid vector was 16.54%., Conclusions: PCNA shRNA significantly suppresses the expression of PCNA at both mRNA and protein levels, corresponding to an inhibition of the proliferation of MG-63 cell and an increase of the cellular apoptosis.