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Research and Implementation of Virtual Exhibition Platform Based on VR
基于虚拟实现的展览平台的研究与实现*

GU Lin,LIU Lian-fang,GAO Wei-feng,SU Ji-po,
顾林
,刘连芳,高伟峰,苏继坡

计算机应用研究 , 2005,
Abstract: Based on the analyzing of the requirements of exhibition industry for constructing a virtual exhibition platform, the paper provides a system structure model of the platform, takes the successful product SuperShow as an example, and introduces its design, principle and key technologies.
LADES: A Software for Constructing and Analyzing Longitudinal Designs in Biomedical Research  [PDF]
Alan Vázquez-Alcocer, Daniel Ladislao Garzón-Cortes, Rosa María Sánchez-Casas
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0100570
Abstract: One of the most important steps in biomedical longitudinal studies is choosing a good experimental design that can provide high accuracy in the analysis of results with a minimum sample size. Several methods for constructing efficient longitudinal designs have been developed based on power analysis and the statistical model used for analyzing the final results. However, development of this technology is not available to practitioners through user-friendly software. In this paper we introduce LADES (Longitudinal Analysis and Design of Experiments Software) as an alternative and easy-to-use tool for conducting longitudinal analysis and constructing efficient longitudinal designs. LADES incorporates methods for creating cost-efficient longitudinal designs, unequal longitudinal designs, and simple longitudinal designs. In addition, LADES includes different methods for analyzing longitudinal data such as linear mixed models, generalized estimating equations, among others. A study of European eels is reanalyzed in order to show LADES capabilities. Three treatments contained in three aquariums with five eels each were analyzed. Data were collected from 0 up to the 12th week post treatment for all the eels (complete design). The response under evaluation is sperm volume. A linear mixed model was fitted to the results using LADES. The complete design had a power of 88.7% using 15 eels. With LADES we propose the use of an unequal design with only 14 eels and 89.5% efficiency. LADES was developed as a powerful and simple tool to promote the use of statistical methods for analyzing and creating longitudinal experiments in biomedical research.
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Kevin A Greer, Matthew R McReynolds, Heddwen L Brooks, James B Hoying
BMC Bioinformatics , 2006, DOI: 10.1186/1471-2105-7-149
Abstract: To realize the full benefits of performing analysis of variance on microarray data we have developed CARMA, a microarray analysis platform that reads data files generated by most microarray image processing software packages, performs ANOVA using a user-defined linear model, and produces easily interpretable graphical and numeric results. No pre-processing of the data is required and user-specified parameters control most aspects of the analysis including statistical significance criterion. The software also performs location and intensity dependent lowess normalization, automatic outlier detection and removal, and accommodates missing data.CARMA provides a clear quantitative and statistical characterization of each measured gene that can be used to assess marginally acceptable measures and improve confidence in the interpretation of microarray results. Overall, applying CARMA to microarray datasets incorporating repeated measures effectively reduces the number of gene incorrectly identified as differentially expressed and results in a more robust and reliable analysis.High-density microarrays[1,2], in combination with high-throughput sequencing efforts[3,4], are proving invaluable in the investigation of complex systems. Researchers, however, struggle with the challenges associated with analyzing and interpreting the enormous amounts of data generated by microarray experiments. While initial analysis techniques focused on individual hybridizations and selected differentially expressed genes based on the ratio of the measured levels of gene expression between two samples[5], the results of any single microarray hybridization is subject to substantial variability[6], and consequently are unreliable. Therefore, as with any biological assay, robust microarray experiments rely on replication[7].Kerr et al. [8] first described the use of analysis of variance (ANOVA) in combination with optimal experimental designs incorporating replicate measures, for microarrays. This t
Translational Neurodegeneration, a platform to share knowledge and experience in translational study of neurodegenerative diseases
Shengdi Chen, Jialin C Zheng
Translational Neurodegeneration , 2012, DOI: 10.1186/2047-9158-1-1
Abstract: Indeed, the prevalence of neurodegenerative disorders, including Alzheimer's disease (AD) and Parkinson's disease (PD), has increased significantly as global populations age. Specifically, the number of cases of dementia in the developed world is projected to rise from 13.5 million in 2000 to 21.2 million in 2025, and to 36.7 million in 2050[1]. Currently, the number of deaths caused by AD is only next to the number of deaths caused by stroke. As the prevalence of AD grows, so does the cost to a nation. For PD, the second most common neurodegenerative disease after AD, more than 4 million people suffer from this devastating disease worldwide and that will double in the next 25 years [2]. To date, PD is still an incurable progressive neurological disorder that seriously impairs the quality of life.The discovery and application of levodopa (L-dopa) is one of the best examples of translational research for neurodegenerative diseases. In 1910s, L-dopa was first isolated from seedlings of Vicia faba; and in 1938, L-dopa decarboxylase was discovered, which can produce dopamine (DA) from L-dopa. In 1959, DA was found enriched in the basal ganglia; and in 1960, a severe striatal DA deficit was demonstrated in PD patients. These major discoveries and a deepening understanding of the neurochemistry of DA and the neuropathology of PD led to the concept of "DA replacement" with L-dopa. In 1961, L-dopa was tried in PD patients by i.v. treatment. In 1967, oral administration of L-dopa was reported to produce dramatic improvements in PD patients with increasing amounts over long periods [3]. However, the main side effects of increasing L-dopa administration, i.e., dyskinesias and motor fluctuations, became apparent. This clinical finding confused doctors and patients, and a solution was needed. In 1970s, the key cause was found. L-dopa decarboxylase degraded L-dopa to DA in peripheral blood, which can not across the blood-brain barrier. These findings led to the first L-dopa combi
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums  [PDF]
Marian-Andrei Rizoiu,Adrien Guille,Julien Velcin
Computer Science , 2015,
Abstract: We present CommentWatcher, an open source tool aimed at analyzing discussions on web forums. Constructed as a web platform, CommentWatcher features automatic mass fetching of user posts from forum on multiple sites, extracting topics, visualizing the topics as an expression cloud and exploring their temporal evolution. The underlying social network of users is simultaneously constructed using the citation relations between users and visualized as a graph structure. Our platform addresses the issues of the diversity and dynamics of structures of webpages hosting the forums by implementing a parser architecture that is independent of the HTML structure of webpages. This allows easy on-the-fly adding of new websites. Two types of users are targeted: end users who seek to study the discussed topics and their temporal evolution, and researchers in need of establishing a forum benchmark dataset and comparing the performances of analysis tools.
Constructing Web2.0-based Knowledge Management Platform by DotNetNuke
利用DotNetNuke构建基于Web2.0的知识管理平台*

Wang Weijun,Xiong Rui,Cheng Jiangdong,
王伟军
,熊瑞,成江东

现代图书情报技术 , 2007,
Abstract: This paper introduces the architecture and features of DotNetNuke open source software,proposes the design and technology architecture for building a Web2.0-based knowledge management platform,and expounds the implementation process of using DotNetNuke for the construction of the platform,which provides a feasible method for constructing a Web2.0-based knowledge communication and management platform quickly.
Nordic contemporary art education and the environment: Constructing an epistemological platform for Art Education for Sustainable Development (AESD) Nordic contemporary art education and the environment: Constructing an epistemological platform for Art Education for Sustainable Development (AESD)  [cached]
Helene Illeris
InFormation : Nordic Journal of Art and Research , 2012, DOI: 10.7577/information.v1i2.221
Abstract: How can art educators address questions of environmental sustainability, accepting to be ethically normative but avoiding becoming dogmatic? How can the complex ‘pool’ of knowledge generated in and through art education research become useful in working with these questions, which many of us find overwhelmingly difficult? AESD – Art Education for Sustainable Development – is a concept coined for this article with the intention of bringing environmental problems onto the agenda. In an attempt to provoke the necessary discussion about environmental sustainability in art education, the article examines selected texts from recent Nordic research in order to build an ‘epistemological platform’ that might function as a research-based ‘tool’ for discussing environmental issues. The article is organized in four sections, which refer to the four ’cornerstones’ of the platform, where each cornerstone corresponds to a recent current in art education. These currents, as defined by the author, are: critical art education, poststructuralist strategies, visual culture pedagogy, and community oriented visual practices. Using selected Nordic texts as material for the analysis, the epistemological perspective of each current is briefly presented and its relationship to evironmental questions is discussed. In the final discussion, eight keywords are presented: praxis, change, performance, reflexivity, visuality, event, situatedness and collaboration. When put together, these concepts offer a dynamic picture of the ‘pool’ of ideas offered by contemporary Nordic and international research, which will be useful for ‘performing’ AESD both as teaching practices and as research. How can art educators address questions of environmental sustainability, accepting to be ethically normative but avoiding becoming dogmatic? How can the complex ‘pool’ of knowledge generated in and through art education research become useful in working with these questions, which many of us find overwhelmingly difficult? AESD – Art Education for Sustainable Development – is a concept coined for this article with the intention of bringing environmental problems onto the agenda. In an attempt to provoke the necessary discussion about environmental sustainability in art education, the article examines selected texts from recent Nordic research in order to build an ‘epistemological platform’ that might function as a research-based ‘tool’ for discussing environmental issues. The article is organized in four sections, which refer to the four ’cornerstones’ of the platform, where each cornerstone corresponds
Research on Strategy Marine Noise Map Based on i4Ocean Platform:Constructing Flow and Key Approach Research on Strategy Marine Noise Map Based on i4Ocean Platform:Constructing Flow and Key Approach  [PDF]
HUANG Baoxiang,CHEN Ge,HAN Yong
- , 2016,
Abstract: Noise level in a marine environment has raised extensive concern in the scientific community.The research is carried out on i4 Ocean platform following the process of ocean noise model integrating,noise data extracting,processing,visualizing,and interpreting,ocean noise map constructing and publishing.For the convenience of numerical computation,based on the characteristics of ocean noise field,a hybrid model related to spatial locations is suggested in the propagation model.The normal mode method K/I model is used for far field and ray method CANARY model is used for near field.Visualizing marine ambient noise data is critical to understanding and predicting marine noise for relevant decision making.Marine noise map can be constructed on virtual ocean scene.The systematic marine noise visualization framework includes preprocessing,coordinate transformation interpolation,and rendering.The simulation of ocean noise depends on realistic surface.Then the dynamic water simulation gird was improved with GPU fusion to achieve seamless combination with the visualization result of ocean noise.At the same time,the profile and spherical visualization include space,and time dimensionality were also provided for the vertical field characteristics of ocean ambient noise.Finally,marine noise map can be published with grid pre-processing and multistage cache technology to better serve the public
Analyzing Clonal Variation of Monoclonal Antibody-Producing CHO Cell Lines Using an In Silico Metabolomic Platform  [PDF]
Atefeh Ghorbaniaghdam, Jingkui Chen, Olivier Henry, Mario Jolicoeur
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0090832
Abstract: Monoclonal antibody producing Chinese hamster ovary (CHO) cells have been shown to undergo metabolic changes when engineered to produce high titers of recombinant proteins. In this work, we have studied the distinct metabolism of CHO cell clones harboring an efficient inducible expression system, based on the cumate gene switch, and displaying different expression levels, high and low productivities, compared to that of the parental cells from which they were derived. A kinetic model for CHO cell metabolism was further developed to include metabolic regulation. Model calibration was performed using intracellular and extracellular metabolite profiles obtained from shake flask batch cultures. Model simulations of intracellular fluxes and ratios known as biomarkers revealed significant changes correlated with clonal variation but not to the recombinant protein expression level. Metabolic flux distribution mostly differs in the reactions involving pyruvate metabolism, with an increased net flux of pyruvate into the tricarboxylic acid (TCA) cycle in the high-producer clone, either being induced or non-induced with cumate. More specifically, CHO cell metabolism in this clone was characterized by an efficient utilization of glucose and a high pyruvate dehydrogenase flux. Moreover, the high-producer clone shows a high rate of anaplerosis from pyruvate to oxaloacetate, through pyruvate carboxylase and from glutamate to α-ketoglutarate, through glutamate dehydrogenase, and a reduced rate of cataplerosis from malate to pyruvate, through malic enzyme. Indeed, the increase of flux through pyruvate carboxylase was not driven by an increased anabolic demand. It is in fact linked to an increase of the TCA cycle global flux, which allows better regulation of higher redox and more efficient metabolic states. To the best of our knowledge, this is the first time a dynamic in silico platform is proposed to analyze and compare the metabolomic behavior of different CHO clones.
Design and realization of information exchange platform based on embedded terminal
基于嵌入式终端的信息交互平台的设计与实现

XU Bao-cheng,WANG Lei,
徐宝成
,王磊

计算机应用 , 2007,
Abstract: In view of embedded device's features,and with the practical research into the information exchange for building numeric campus,a new design of information exchange platform based on embedded terminal was proposed.Through constructing model of the platform and analyzing architecture of its primary embedded terminal,the realization of message exchange and data upload with mobile phone was described,which took Linux as the operating system and Intel XScale PXA270 as the core of hardware,as well as employed an expanded module for mobile communication.Finally one of its examples was given to illustrate the detailed process which was used for information exchange within different subareas of a campus.
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