Browsing by Author "Zhou Q"

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    A Blockchain Based Data Monitoring and Sharing Approach for Smart Grids
    (IEEE, 2019-11-11) Yang Y; Liu M; Zhou Q; Zhou H; Wang R
    With the development of science and technology, human beings cannot live without electricity. The introduction of smart grid systems brings new ideas to break the shackle of existing electricity systems. This paper proposes a mechanism with data monitoring and sharing capabilities based on the consortium blockchain, realizing comprehensive monitoring of smart devices, and promoting the effective sharing of electrical data in smart grids. When a smart device is out of order, the smart contract connected to it will be triggered, and the users can check the running status through the smart phone. This approach allows nodes in the consortium blockchain to request transactions, using the prepaid payment smart contract with time-lock script to protect the consumer right of request nodes. In addition, we use a (t, n) -threshold secret sharing scheme to realize multiparty sharing of electrical data. Paillier encryption arithmetic is used to guarantee the confidentiality of messages in node transaction.
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    Author Correction: Dense sampling of bird diversity increases power of comparative genomics.
    (2021-04) Feng S; Stiller J; Deng Y; Armstrong J; Fang Q; Reeve AH; Xie D; Chen G; Guo C; Faircloth BC; Petersen B; Wang Z; Zhou Q; Diekhans M; Chen W; Andreu-Sánchez S; Margaryan A; Howard JT; Parent C; Pacheco G; Sinding M-HS; Puetz L; Cavill E; Ribeiro ÂM; Eckhart L; Fjeldså J; Hosner PA; Brumfield RT; Christidis L; Bertelsen MF; Sicheritz-Ponten T; Tietze DT; Robertson BC; Song G; Borgia G; Claramunt S; Lovette IJ; Cowen SJ; Njoroge P; Dumbacher JP; Ryder OA; Fuchs J; Bunce M; Burt DW; Cracraft J; Meng G; Hackett SJ; Ryan PG; Jønsson KA; Jamieson IG; da Fonseca RR; Braun EL; Houde P; Mirarab S; Suh A; Hansson B; Ponnikas S; Sigeman H; Stervander M; Frandsen PB; van der Zwan H; van der Sluis R; Visser C; Balakrishnan CN; Clark AG; Fitzpatrick JW; Bowman R; Chen N; Cloutier A; Sackton TB; Edwards SV; Foote DJ; Shakya SB; Sheldon FH; Vignal A; Soares AER; Shapiro B; González-Solís J; Ferrer-Obiol J; Rozas J; Riutort M; Tigano A; Friesen V; Dalén L; Urrutia AO; Székely T; Liu Y; Campana MG; Corvelo A; Fleischer RC; Rutherford KM; Gemmell NJ; Dussex N; Mouritsen H; Thiele N; Delmore K; Liedvogel M; Franke A; Hoeppner MP; Krone O; Fudickar AM; Milá B; Ketterson ED; Fidler AE; Friis G; Parody-Merino ÁM; Battley PF; Cox MP; Lima NCB; Prosdocimi F; Parchman TL; Schlinger BA; Loiselle BA; Blake JG; Lim HC; Day LB; Fuxjager MJ; Baldwin MW; Braun MJ; Wirthlin M; Dikow RB; Ryder TB; Camenisch G; Keller LF; DaCosta JM; Hauber ME; Louder MIM; Witt CC; McGuire JA; Mudge J; Megna LC; Carling MD; Wang B; Taylor SA; Del-Rio G; Aleixo A; Vasconcelos ATR; Mello CV; Weir JT; Haussler D; Li Q; Yang H; Wang J; Lei F; Rahbek C; Gilbert MTP; Graves GR; Jarvis ED; Paten B; Zhang G
    In Supplementary Table 1 of this Article, 23 samples (B10K-DU-029-32, B10K-DU-029-33, B10K-DU-029-36 to B10K-DU-029-44, B10K-DU- 029-46, B10K-DU-029-47, B10K-DU-029-49 to B10K-DU-029-53, B10K-DU- 029-75 to B10K-DU-029-77, B10K-DU-029-80, and B10K-DU-030-03; styled in boldface in the revised table) were assigned to the incorrect institution. Supplementary Table 1 has been amended to reflect the correct source institution for these samples, and associated data (tissue, museum ID/source specimen ID, site, state/province, latitude, longitude, date collected and sex) have been updated accordingly. The original table is provided as Supplementary Information to this Amendment, and the original Article has been corrected online.
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    Molecular Detection of Zoonotic and Veterinary Pathogenic Bacteria in Pet Dogs and Their Parasitizing Ticks in Junggar Basin, North-Western China
    (Frontiers Media S.A., 2022-07) Guo J; Song S; Cao S; Sun Z; Zhou Q; Deng X; Zhao T; Chai Y; Zhu D; Chen C; Baryshnikov PI; Blair HT; Wang Z; Wang Y; Zhang H
    Despite the recognized epidemiological importance of ticks as vectors for pathogens that cause numerous zoonotic and veterinary diseases, data regarding the pathogens of pet dogs and their parasitic ticks in the Junggar Basin are scarce. In this study, a total of 178 blood samples and 436 parasitic ticks were collected from pet dogs in Junggar Basin, Xinjiang Uygur Autonomous Region (XUAR), north-western China. All ticks were identified as Rhipicephalus turanicus sensu stricto (s.s.) according to morphological and molecular characteristics. Rh. turanicus s.s. ticks were collected from pet dogs in China for the first time. Seven tick-borne pathogens, such as Ehrlichia chaffeensis, Anaplasma phagocytophilum, Rickettsia massiliae, Candidatus R. barbariae, Brucella spp., Rickettsia sibirica, and Anaplasma ovis, were detected from ticks, whereas the first five bacteria were detected from blood samples of dogs. Brucella spp. was the most predominant pathogen in both blood samples and ticks of pet dogs, with the detection rates of 16.29 and 16.74%, respectively. Moreover, 17 ticks and 1 blood sample were co-infected with two pathogens, and 1 tick was co-infected with three pathogens. This study provided molecular evidence for the occurrence of Anaplasma spp., Ehrlichia spp., Rickettsia spp., and Brucella spp. circulating in pet dogs and their parasitic ticks in Junggar Basin, north-western China. These findings extend our knowledge of the tick-borne pathogens in pet dogs and their parasitic ticks in Central Asia; therefore, further research on these pathogens and their role in human and animal diseases is required.
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    Obligate mutualism within a host drives the extreme specialization of a fig wasp genome
    (BioMed Central Ltd, 20/12/2013) Xiao J-H; Yue Z; Jia L-Y; Yang X-H; Niu L-H; Wang Z; Zhang P; Sun B-F; He S-M; Li Z; Xiong T-L; Xin W; Gu H-F; Wang B; Werren JH; Murphy RW; Wheeler D; Niu L-M; Ma G-C; Tang T; Bian S-N; Wang N-X; Yang C-Y; Wang N; Fu Y-G; Li W-Z; Yi SV; Yang X-Y; Zhou Q; Lu C-X; Xu C-Y; He L-J; Yu L-L; Chen M; Zheng Y; Wang S-W; Zhao S; Li Y-H; Yu Y-Y; Qian X-J; Cai Y; Bian L-L; Zhang S; Wang J-Y; Yin Y; Xiao H; Wang G-H; Yu H; Wu W-S; Cook JM; Wang J; Huang D-W
    Background: Fig pollinating wasps form obligate symbioses with their fig hosts. This mutualism arose approximately 75 million years ago. Unlike many other intimate symbioses, which involve vertical transmission of symbionts to host offspring, female fig wasps fly great distances to transfer horizontally between hosts. In contrast, male wasps are wingless and cannot disperse. Symbionts that keep intimate contact with their hosts often show genome reduction, but it is not clear if the wide dispersal of female fig wasps will counteract this general tendency. We sequenced the genome of the fig wasp Ceratosolen solmsi to address this question. Results: The genome size of the fig wasp C. solmsi is typical of insects, but has undergone dramatic reductions of gene families involved in environmental sensing and detoxification. The streamlined chemosensory ability reflects the overwhelming importance of females finding trees of their only host species, Ficus hispida, during their fleeting adult lives. Despite long-distance dispersal, little need exists for detoxification or environmental protection because fig wasps spend nearly all of their lives inside a largely benign host. Analyses of transcriptomes in females and males at four key life stages reveal that the extreme anatomical sexual dimorphism of fig wasps may result from a strong bias in sex-differential gene expression. Conclusions: Our comparison of the C. solmsi genome with other insects provides new insights into the evolution of obligate mutualism. The draft genome of the fig wasp, and transcriptomic comparisons between both sexes at four different life stages, provide insights into the molecular basis for the extreme anatomical sexual dimorphism of this species. © 2013 Xiao et al.; licensee BioMed Central Ltd.
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    Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max-min method
    (Elsevier, 1/06/2013) Cheng HF; Huang WL; Zhou Q; Cai JH
    This paper proposes a method for solving fuzzy multi-objective linear programming (FMOLP) problems where all the coefficients are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. Using the deviation degree measures and weighted max–min method, the FMOLP problem is transformed into crisp linear programming (CLP) problem. If decision makers fix the values of deviation degrees of two side fuzzy numbers in each constraint, then the δ-pareto-optimal solution of the FMOLP problems can be obtained by solving the CLP problem. The bigger the values of the deviation degrees are, the better the objectives function values will be. So we also propose an algorithm to find a balance-pareto-optimal solution between two goals in conflict: to improve the objectives function values and to decrease the values of the deviation degrees. Finally, to illustrate our method, we solve a numerical example.