Public Information Platform Research Articles

Design of Information Disclosure Platform in Engineering Based on Reliability Model

This paper presents a public information platform based on reliability coefficient for information disclosure process in construction field. In this platform, we constructed a model of enterprise reliability coefficient and enterprise credit evaluation system, unified credit standards of Shandong Province in the construction industry sectors. Meanwhile, we adopt flexible workflow to definite workflow model of public information platform and using SOA architecture which is service-oriented and object-oriented programming ideas to realize the entire system. Finally, the article analyzes the public information platform in the field of engineering construction in Shandong province, and after the test run, the results show that the system has better scalability, stability and high security.

Research on Dynamic Relation Model of LOGINK Service Innovation

By taking the national transport logistics public information platform as the research object, the differences between the logistics public information platform and service enterprises in organizational structure, operational management, information flow, etc., are analyzed in this article. On the basis of four dimensional model of service innovation, three dimensional multi-dynamic model of LOGINK service innovation is proposed. Besides, the connotation and the mechanism of each innovative factor in the model are analyzed.

Study on Dynamic Mechanism of LOGINK Service Innovation Based on System Dynamics

According to system dynamics and in-tree structure, we choose National Transport & Logistics Public Information Platform (LOGINK) as a research object. Then, considering new service concept, new customer interface and new delivery system, its dynamic mechanism of service innovation is studied. Finally, we establish the corresponding dynamic relationship model and deduce dynamic relationship equation.

Research on the Situation and Prospect of ICT Application in China Modern Logistics

ICT application has greatly improved the efficiency of logistics and reduced unnecessary costs. But it hasn’t been fully used in Chinese logistics. This paper focuses on how to be more effective in using ICT to construct modern logistic to improve logistics informatization. This paper reviews the lack of ICT application in domestic logistics through reviewing literature, such as oversimplified application of ICT in logistics, the undeveloped application of Internet of Things in logistics, slow development of the Logistics Public Information Platform and general phenomenon of information isolated island. This paper also further analyzes the trends on the domestic ICT application in logistics through literature and recent statistics. Based on the analysis, this paper gives practical advices on fully applying ICT to logistics, including achieving the overall integration of IT and CT, accelerating the construction of public platform with intelligent cloud logistics, strengthening industries cooperation and establishing a government-led mechanisms.

Research on Comparative Analysis of Regional Logistics Information Platform Operation Mode Based on Cloud Computing

In order to realize integration of the social logistics resource and provide customized logistics services to the customers, this paper presents a regional logistics platform architecture based on cloud computing through systems analysis. Subsequently, a suggestion about adopting the mode of cooperative operation leading by the enterprise is provided combining the development situation of cloud computing and logistics information public platform in china on the basis of comparative analysis of three kind of operation mode.

The research and implementation of coalfield spontaneous combustion of carbon emission WebGIS based on Silverlight and ArcGIS server

As an important sub-topic of the natural process of carbon emission data public information platform construction, coalfield spontaneous combustion of carbon emission WebGIS system has become an important study object. In connection with data features of coalfield spontaneous combustion carbon emissions (i.e. a wide range of data, which is rich and complex) and the geospatial characteristics, data is divided into attribute data and spatial data. Based on full analysis of the data, completed the detailed design of the Oracle database and stored on the Oracle database. Through Silverlight rich client technology and the expansion of WCF services, achieved the attribute data of web dynamic query, retrieval, statistical, analysis and other functions. For spatial data, we take advantage of ArcGIS Server and Silverlight-based API to invoke GIS server background published map services, GP services, Image services and other services, implemented coalfield spontaneous combustion of remote sensing image data and web map data display, data analysis, thematic map production. The study found that the Silverlight technology, based on rich client and object-oriented framework for WCF service, can efficiently constructed a WebGIS system. And then, combined with ArcGIS Silverlight API to achieve interactive query attribute data and spatial data of coalfield spontaneous emmission, can greatly improve the performance of WebGIS system. At the same time, it provided a strong guarantee for the construction of public information on China's carbon emission data.

Global transcriptome sequencing using the Illumina platform and the development of EST-SSR markers in autotetraploid alfalfa.

BackgroundAlfalfa is the most widely cultivated forage legume and one of the most economically valuable crops in the world. The large size and complexity of the alfalfa genome has delayed the development of genomic resources for alfalfa research. Second-generation Illumina transcriptome sequencing is an efficient method for generating a global transcriptome sequence dataset for gene discovery and molecular marker development in alfalfa.Methodology/Principal FindingsMore than 28 million sequencing reads (5.64 Gb of clean nucleotides) were generated by Illumina paired-end sequencing from 15 different alfalfa tissue samples. In total, 40,433 unigenes with an average length of 803 bp were obtained by de novo assembly. Based on a sequence similarity search of known proteins, a total of 36,684 (90.73%) unigenes were annotated. In addition, 1,649 potential EST-SSRs were identified as potential molecular markers from unigenes with lengths exceeding 1 kb. A total of 100 pairs of PCR primers were randomly selected to validate the assembly quality and develop EST-SSR markers from genomic DNA. Of these primer pairs, 82 were able to amplify sequences in initial screening tests, and 27 primer pairs successfully amplified DNA fragments and detected significant amounts of polymorphism among 10 alfalfa accessions.Conclusions/SignificanceThe present study provided global sequence data for autotetraploid alfalfa and demonstrates the Illumina platform is a fast and effective approach to EST-SSR markers development in alfalfa. The use of these transcriptome datasets will serve as a valuable public information platform to accelerate studies of the alfalfa genome.

De novo transcriptome sequencing of radish (Raphanus sativusL.) and analysis of major genes involved in glucosinolate metabolism

BackgroundRadish (Raphanus sativus L.), is an important root vegetable crop worldwide. Glucosinolates in the fleshy taproot significantly affect the flavor and nutritional quality of radish. However, little is known about the molecular mechanisms underlying glucosinolate metabolism in radish taproots. The limited availability of radish genomic information has greatly hindered functional genomic analysis and molecular breeding in radish.ResultsIn this study, a high-throughput, large-scale RNA sequencing technology was employed to characterize the de novo transcriptome of radish roots at different stages of development. Approximately 66.11 million paired-end reads representing 73,084 unigenes with a N50 length of 1,095 bp, and a total length of 55.73 Mb were obtained. Comparison with the publicly available protein database indicates that a total of 67,305 (about 92.09% of the assembled unigenes) unigenes exhibit similarity (e –value ≤ 1.0e-5) to known proteins. The functional annotation and classification including Gene Ontology (GO), Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the main activated genes in radish taproots are predominately involved in basic physiological and metabolic processes, biosynthesis of secondary metabolite pathways, signal transduction mechanisms and other cellular components and molecular function related terms. The majority of the genes encoding enzymes involved in glucosinolate (GS) metabolism and regulation pathways were identified in the unigene dataset by targeted searches of their annotations. A number of candidate radish genes in the glucosinolate metabolism related pathways were also discovered, from which, eight genes were validated by T-A cloning and sequencing while four were validated by quantitative RT-PCR expression profiling.ConclusionsThe ensuing transcriptome dataset provides a comprehensive sequence resource for molecular genetics research in radish. It will serve as an important public information platform to further understanding of the molecular mechanisms involved in biosynthesis and metabolism of the related nutritional and flavor components during taproot formation in radish.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-14-836) contains supplementary material, which is available to authorized users.

Transcriptome profiling of fruit development and maturation in Chinese white pear (Pyrus bretschneideri Rehd)

BackgroundPear (Pyrus spp) is an important fruit species worldwide; however, its genetics and genomic information is limited. Combining the Solexa/Illumina RNA-seq high-throughput sequencing approach (RNA-seq) with Digital Gene Expression (DGE) analysis would be a powerful tool for transcriptomic study. This paper reports the transcriptome profiling analysis of Chinese white pear (P. bretschneideri) using RNA-seq and DGE to better understand the molecular mechanisms in fruit development and maturation of Chinese white pear.ResultsDe novo transcriptome assembly and gene expression analysis of Chinese white pear were performed in an unprecedented depth (5.47 gigabase pairs) using high-throughput Illumina RNA-seq combined with a tag-based Digital Gene Expression (DGE) system. Approximately, 60.77 million reads were sequenced, trimmed, and assembled into 90,227 unigenes. These unigenes comprised 17,619 contigs and 72,608 singletons with an average length of 508 bp and had an N50 of 635 bp. Sequence similarity analyses against six public databases (Uniprot, NR, and COGs at NCBI, Pfam, InterPro, and KEGG) found that 61,636 unigenes can be annotated with gene descriptions, conserved protein domains, or gene ontology terms. By BLASTing all 61,636 unigenes in KEGG, a total of 31,215 unigenes were annotated into 121 known metabolic or signaling pathways in which a few primary, intermediate, and secondary metabolic pathways are directly related to pear fruit quality. DGE libraries were constructed for each of the five fruit developmental stages. Variations in gene expression among all developmental stages of pear fruit were significantly different in a large amount of unigenes.ConclusionExtensive transcriptome and DGE profiling data at five fruit developmental stages of Chinese white pear have been obtained from a deep sequencing, which provides comprehensive gene expression information at the transcriptional level. This could facilitate understanding of the molecular mechanisms in fruit development and maturation. Such a database can also be used as a public information platform for research on molecular biology and functional genomics in pear and other related species.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-14-823) contains supplementary material, which is available to authorized users.

On the analysis of building a public information platform based on e-Commerce for coal logistics

Purpose: Putting forward the concept and features of the public information platform for coal logistics based on electronic commerce, as well as the requirements of upper and lower intersections of the coal supply chain. Meanwhile, this paper will also probe into the current condition of statistics management in coal logistics, and then discuss how to build a public information platform based on electronic commerce for coal logistics. Design/methodology/approach: According to the further exploring the concepts and relevant characteristics and the development of coal logistics and supply chain management in China of the current period. Findings / Practical implications: An advanced public information platform for coal logistics utilizes to best advantage modern information technologies and managerial concepts in the operation of coal logistics, such as e-commerce, e-information, supply chain management, etc. This not only stimulates efficient integration of business flow, information flow, logistics and capital flow of the coal industry, brings about in-depth integration of the logistics resources of the coal industry, but also greatly improves the efficiency of the operation of coal logistics, reduces the cost of coal logistics, and enhances the overall competitiveness of upstream and downstream companies along the coal supply chain. Research limitations/implications: Although the coal logistics public information platform has been applied in some enterprises in China, not yet in a broader range of applications, which need the joint efforts of all parties. Originality/value: Fitted to the e-commerce era, the Public Information Platform for Coal Logistics envisioned in this article is highly feasible and worthy of reference to relevant institutions.

The Research on Pricing Customizing Services of Logistics Information Platform

In recent years, the rapid development of logistics has become the driving force of the construction of Logistics Information Platforms, nevertheless, most of which are still underdeveloped, especially the charging and pricing mechanism of the platform is inadequate. Based on the bargain method of the game theory, this essay will build a pricing model and conduct a three-round bargaining reverse regression calculation towards logistics software customized services, resulting in its optimal pricing strategy. Taking National Transport Logistics Public Information Platform as the analyzing example, this essay provides theoretical support for the optimal pricing strategy of logistics software customized services.

Research of Logistics Public Information Platform Based on Internet of Things Technology

Logistics public information platform is an important part of logistics informationization is to provide public service platform, to the logistics industry is between logistics enterprise resource sharing, complementary advantages of the platform, and logistics supply chain organization and operation control of the central nervous. This paper mainly constructs the logistics public information platform based on Internet of things technology. Logistics public information platform is mainly composed of data management, service management, portal features and operational management of four subsystems. Service management subsystem is the core of this platform, release subscription service management module for the design. Logistics public information platform based on improving the efficiency of the logistics, reduce logistics cost for the purpose, in order to realize efficient across the enterprise logistics information exchange and sharing.

Comparative transcriptome analysis of microsclerotia development in Nomuraea rileyi

BackgroundNomuraea rileyi is used as an environmental-friendly biopesticide. However, mass production and commercialization of this organism are limited due to its fastidious growth and sporulation requirements. When cultured in amended medium, we found that N. rileyi could produce microsclerotia bodies, replacing conidiophores as the infectious agent. However, little is known about the genes involved in microsclerotia development. In the present study, the transcriptomes were analyzed using next-generation sequencing technology to find the genes involved in microsclerotia development.ResultsA total of 4.69 Gb of clean nucleotides comprising 32,061 sequences was obtained, and 20,919 sequences were annotated (about 65%). Among the annotated sequences, only 5928 were annotated with 34 gene ontology (GO) functional categories, and 12,778 sequences were mapped to 165 pathways by searching against the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) database. Furthermore, we assessed the transcriptomic differences between cultures grown in minimal and amended medium. In total, 4808 sequences were found to be differentially expressed; 719 differentially expressed unigenes were assigned to 25 GO classes and 1888 differentially expressed unigenes were assigned to 161 KEGG pathways, including 25 enrichment pathways. Subsequently, we examined the up-regulation or uniquely expressed genes following amended medium treatment, which were also expressed on the enrichment pathway, and found that most of them participated in mediating oxidative stress homeostasis. To elucidate the role of oxidative stress in microsclerotia development, we analyzed the diversification of unigenes using quantitative reverse transcription-PCR (RT-qPCR).ConclusionOur findings suggest that oxidative stress occurs during microsclerotia development, along with a broad metabolic activity change. Our data provide the most comprehensive sequence resource available for the study of N. rileyi. We believe that the transcriptome datasets will serve as an important public information platform to accelerate studies on N. rileyi microsclerotia.

Architecture Design of Urban Intelligent Transportation Using Cloud Computing

This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed vehicles’ information through various services whenever and wherever, and strongly supports intelligent control and schedule of multi-vehicles and multi-lines. The system lays a good foundation for the intelligent city.

The Problems and Countermeasures of Port Clusters in China

The paper introduces the port cluster's concept and the main five port clusters of China, including Bohai Bay, Yangtze River Delta, Southeast ports, the Pearl River Delta and Southwest port clusters. And then the problems of China’s port clusters are discussed. Disorderly competition between and within the port clusters is gradually strengthened, and the port position and division is not clear. The government lacks coordination. Finally, to sovle these problems this paper presents a series of development countermeasures. For example, give full play to the planning and coordination role of the Government; Carry out different management according to the respective advantages of the port; Set up the Port alliances; Strengthen the port financing and establish a public information platform, etc.

Transcriptome Analysis of the Asian Honey Bee Apis cerana cerana

BackgroundThe Eastern hive honey bee, Apis cerana cerana is a native and widely bred honey bee species in China. Molecular biology research about this honey bee species is scarce, and genomic information for A. c. cerana is not currently available. Transcriptome and expression profiling data for this species are therefore important resources needed to better understand the biological mechanisms of A. c. cerana. In this study, we obtained the transcriptome information of A. c. cerana by RNA-sequencing and compared gene expression differences between queens and workers of A. c. cerana by digital gene expression (DGE) analysis.ResultsUsing high-throughput Illumina RNA sequencing we obtained 51,581,510 clean reads corresponding to 4.64 Gb total nucleotides from a single run. These reads were assembled into 46,999 unigenes with a mean length of 676 bp. Based on a sequence similarity search against the five public databases (NR, Swissport, GO, COG, KEGG) with a cut-off E-value of 10−5 using BLASTX, a total of 24,630 unigenes were annotated with gene descriptions, gene ontology terms, or metabolic pathways. Using these transcriptome data as references we analyzed the gene expression differences between the queens and workers of A. c. cerana using a tag-based digital gene expression method. We obtained 5.96 and 5.66 million clean tags from the queen and worker samples, respectively. A total of 414 genes were differentially expressed between them, with 189 up-regulated and 225 down-regulated in queens.ConclusionsOur transcriptome data provide a comprehensive sequence resource for future A. c. cerana study, establishing an important public information platform for functional genomic studies in A. c. cerana. Furthermore, the DGE data provide comprehensive gene expression information for the queens and workers, which will facilitate our understanding of the molecular mechanisms of the different physiological aspects of the two castes.

Detailed Transcriptome Description of the Neglected Cestode Taenia multiceps

BackgroundThe larval stage of Taenia multiceps, a global cestode, encysts in the central nervous system (CNS) of sheep and other livestock. This frequently leads to their death and huge socioeconomic losses, especially in developing countries. This parasite can also cause zoonotic infections in humans, but has been largely neglected due to a lack of diagnostic techniques and studies. Recent developments in next-generation sequencing provide an opportunity to explore the transcriptome of T. multiceps.Methodology/Principal FindingsWe obtained a total of 31,282 unigenes (mean length 920 bp) using Illumina paired-end sequencing technology and a new Trinity de novo assembler without a referenced genome. Individual transcription molecules were determined by sequence-based annotations and/or domain-based annotations against public databases (Nr, UniprotKB/Swiss-Prot, COG, KEGG, UniProtKB/TrEMBL, InterPro and Pfam). We identified 26,110 (83.47%) unigenes and inferred 20,896 (66.8%) coding sequences (CDS). Further comparative transcripts analysis with other cestodes (Taenia pisiformis, Taenia solium, Echincoccus granulosus and Echincoccus multilocularis) and intestinal parasites (Trichinella spiralis, Ancylostoma caninum and Ascaris suum) showed that 5,100 common genes were shared among three Taenia tapeworms, 261 conserved genes were detected among five Taeniidae cestodes, and 109 common genes were found in four zoonotic intestinal parasites. Some of the common genes were genes required for parasite survival, involved in parasite-host interactions. In addition, we amplified two full-length CDS of unigenes from the common genes using RT-PCR.Conclusions/SignificanceThis study provides an extensive transcriptome of the adult stage of T. multiceps, and demonstrates that comparative transcriptomic investigations deserve to be further studied. This transcriptome dataset forms a substantial public information platform to achieve a fundamental understanding of the biology of T. multiceps, and helps in the identification of drug targets and parasite-host interaction studies.

The First Illumina-Based De Novo Transcriptome Sequencing and Analysis of Safflower Flowers

BackgroundThe safflower, Carthamus tinctorius L., is a worldwide oil crop, and its flowers, which have a high flavonoid content, are an important medicinal resource against cardiovascular disease in traditional medicine. Because the safflower has a large and complex genome, the development of its genomic resources has been delayed. Second-generation Illumina sequencing is now an efficient route for generating an enormous volume of sequences that can represent a large number of genes and their expression levels.Methodology/Principal FindingsTo investigate the genes and pathways that might control flavonoids and other secondary metabolites in the safflower, we used Illumina sequencing to perform a de novo assembly of the safflower tubular flower tissue transcriptome. We obtained a total of 4.69 Gb in clean nucleotides comprising 52,119,104 clean sequencing reads, 195,320 contigs, and 120,778 unigenes. Based on similarity searches with known proteins, we annotated 70,342 of the unigenes (about 58% of the identified unigenes) with cut-off E-values of 10−5. In total, 21,943 of the safflower unigenes were found to have COG classifications, and BLAST2GO assigned 26,332 of the unigenes to 1,754 GO term annotations. In addition, we assigned 30,203 of the unigenes to 121 KEGG pathways. When we focused on genes identified as contributing to flavonoid biosynthesis and the biosynthesis of unsaturated fatty acids, which are important pathways that control flower and seed quality, respectively, we found that these genes were fairly well conserved in the safflower genome compared to those of other plants.Conclusions/SignificanceOur study provides abundant genomic data for Carthamus tinctorius L. and offers comprehensive sequence resources for studying the safflower. We believe that these transcriptome datasets will serve as an important public information platform to accelerate studies of the safflower genome, and may help us define the mechanisms of flower tissue-specific and secondary metabolism in this non-model plant.

TOWARDS A PAN-EUROPEAN E-PROCUREMENT PLATFORM TO AGGREGATE, PUBLISH AND SEARCH PUBLIC PROCUREMENT NOTICES POWERED BY LINKED OPEN DATA: THE MOLDEAS APPROACH

This paper aims to describe a public procurement information platform which provides a unified pan-European system that exploits the aggregation of tender notices using linking open data and semantic web technologies. This platform requires a step-based method to deal with the requirements of the public procurement sector and the open government data initiative: (1) modeling the unstructured information included in public procurement notices (contracting authorities, organizations, contracts awarded, etc.); (2) enriching that information with the existing product classification systems and the linked data vocabularies; (3) publishing relevant information extracted out of the notices following the linking open data approach; (4) implementing enhanced services based on advanced algorithms and techniques like query expansion methods to exploit the information in a semantic way. Taking into account that public procurement notices contain different kinds of data like types of contract, region, duration, total amount, target enterprise, etc., various methods can be applied to expand user queries easing the access to the information and providing a more accurate information retrieval system. Nevertheless expanded user queries can involve an extra-time in the process of retrieving notices. That is why a performance evaluation is outlined to tune up the semantic methods and the generated queries providing a scalable and time-efficient system. Moreover, this platform is supposed to be especially relevant for SMEs that want to tender in the European Union (EU), easing their access to the information of the notices and fostering their participation in cross-border public procurement processes across Europe. Finally an example of use is provided to evaluate and compare the goodness and the improvement of the proposed platform with regard to the existing ones.

Construction of Graduate Employment Service System Based on Public Information Platform

With the continuous enrollment in colleges and sharp growth in the number of graduates in recent years, employment and the amount of information tend to expand rapidly, and then very difficult to split, merge data, facing any one of these huge tasks are not completed things on a single computer in the short term. In view of this, in order to meet the tough changing employment situation and enable the timely effective employment guidance for university graduates, building a dynamic, quantitative and systematic employment information platform has become an urgent task of the current employment guidance for college students.