Ontology-based semantic interpretation of cylindricity specification in the next-generation GPS

Cylindricity specification is one of the most important geometrical specifications in geometrical product development. This specification can be referenced from the rules and examples in tolerance standards and technical handbooks in practice. These rules and examples are described in the form of natural language, which may cause ambiguities since different designers may have different understandings on a rule or an example. To address the ambiguous problem, a categorical data model of cylindricity specification in the next-generation Geometrical Product Specifications (GPS) was proposed at the University of Huddersfield. The modeling language used in the categorical data model is category language. Even though category language can develop a syntactically correct data model, it is difficult to interpret the semantics of the cylindricity specification explicitly. This paper proposes an ontology-based approach to interpret the semantics of cylindricity specification on the basis of the categorical data model. A scheme for translating the category language to the OWL 2 Web Ontology Language (OWL 2) is presented in this approach. Through such a scheme, the categorical data model is translated into a semantically enriched model, i.e. an OWL 2 ontology for cylindricity specification. This ontology can interpret the semantics of cylindricity specification explicitly. As the benefits of such semantic interpretation, consistency checking, inference procedures and semantic queries can be performed on the OWL 2 ontology. The proposed approach could be easily extended to support the semantic interpretations of other kinds of geometrical specifications

Continuous suspension cell culture monitoring in bioreactors using quantitative imaging

Monitoring of suspension cell cultures often relies on sampling followed by a staining procedure. Estimations of cell count and cell viability are traditionally performed once a day using Trypan-Blue cell exclusion as a method of choice. Stained samples are destroyed afterwards creating toxic waste. Sampling a bioreactor and counting cells involve manual operations and weekend work is regularly needed. Differential Digital Holographic Microscopy (DDHM) is a new quantitative imaging technique that allows cell counting as well as cell viability monitoring in a continuous, label-free set-up. No need for sampling (thus eliminating the risk of contamination), staining and waiting for results generated by an off-line counter: results are available in nearly real-time during the whole run. Compared to classical light microscopy, Differential Digital Holographic Microscopy offers: The ability to refocus images post acquisition The collection of quantitative phase information (optical density), covering the shape and density of an object. This quantitative phase parameter (not captured by the human eye) is the key advantage in numerous applications developed at OVIZIO. DDHM helps the operator to continuously track total cell density and cell viability, while the OsOne software plots the cell growth curve, live on the screen. Moreover, OsOne also shows real-time images of cells, offering the experienced operator a particularly convenient tool to check the condition of the cell culture. In this study, we compared the results generated by the iLine F microscope with off-lines methods applying sampling and Trypan-Blue staining. OVIZIO’s iLine F was benchmarked versus the Vi-Cell XR (Beckman Coulter). A bioreactor equipped with a BioConnect (OVIZIO’s continuous, closed loop, sampling device) plugged into an iLine F was inoculated with CHO cells at 0.3x106 viable cells/mL in CD-CHO medium (Life Technologies) for a final volume of 2L. The culture was sampled daily via the usual sampling port for Vi-Cell cell count. The iLine F was set to generate 2 data points (cell counts and viability measurement) per hour. The culture was left to grow in batch mode so it was possible to also capture the decrease in cell viability at the end of the bioreactor run. An excellent correlation factor R² was obtained for the viable cell density demonstrating that the results achieved with the label-free DDHM method are in line with current methods applying Trypan-Blue staining. Furthermore, the iLine F shows the benefit of having the full trend of the culture which can be more relevant than a single point, on a single sample, once a day. The availability of full data at the single cell level, for the whole experiment, allows to envision the use of the iLine F in a PAT approach. Indeed the large amount of data produced can be used to perform various statistical analysis on the cell population in order to define and control critical parameters of the cell culture process

A reference architecture for archival systems with application to product models

Pas de résumé en françaisNowadays, a major part of the information is in digital form. Digital preservation is essential to allowpeople to access information over time. From a computer science perspective, two major objectiveshave to be met to enable digital preservation: developing archival systems to manage the preserveddigital information, and select information representations that will facilitate the preservation. For complexinformation such as product models, these two objective are particularly hard to meet. Archivalsystems have to operate in a complex environment, interact with many different systems, and supportmay different business functions. Product model representations do not use all the possibilitiesof computer interpretation.Regarding the development of archival systems, the key is to determine what has to be described toprove that the archival system can effectively support the digital preservation. The Reference Modelfor an Open Archival Information System (OAIS) proposes a terminology to describe and comparearchives. The Audit and Certification of Trustworthy Digital Repository (ACTDR) provides criteria forthe certification of archives. One issue with these efforts is that there is not guidance on how to usethem within archival system descriptions.This thesis proposes a method called Reference Architecture for Archival Systems (RAAS) to describearchival systems implementations. RAAS relies on the DoD Architecture Framework to describethe various aspects of the archival systems. Moreover, RAAS provides an archival-specificterminology inspired by the OAIS Reference Model. RAAS also explains how the archival systemdescription can help for the ACTDR certification.RAAS is applied to a product model preservation case, to describe the various aspects of the archivalsystem. This description includes the interactions involving the archival systems, the archival systemfunctions, the definition of the preserved content, and the definition of the metadata. This descriptionformally refers to the OAIS terminology, and provides ACTDR certification evidence.This thesis also address the representation of product models by proposing the translation of productmodels from STEP to OWL. STEP is a standard for product model representation. The use ofOWL enables semantic relationship to enrich product information, and improve the search and theunderstanding of this information using data integration.The methodology used in this thesis can apply to other types of information, such as medical recordsDIJON-BU Doc.électronique (212319901) / SudocSudocFranceF

The power of at-line amino acid measurements for accelerated process and media development of a mAb-expressing CHO cell line

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Les fortifications du Frankenbourg à Neubois (67): Rapport intermédiaire

La campagne de fouille de 2019 au Frankenbourg a tout d’abord offert la possibilité de compléter les études engagées sur la fortification gauloise : la structure du rempart a été à nouveau étudiée et la couche sur laquelle est édifiée la fortification a été dégagée et prélevée en vue d’analyses micromorphologiques. Les sondages ouverts au niveau du rempart inférieur ont également permis la mise au jour des premières structures liées à l’occupation du Bas-Empire ; ces deux aménagements restent toutefois à interpréter. Deux terrasses, situées peu en amont du rempart ont également été sondées : les résultats sont relativement maigres et montrent essentiellement l’importance de l’érosion dans ces secteurs.Un petit sondage a aussi été ouvert à l’angle nord-ouest du « mur païen » afin d’en étudier la structure. Celle-ci est relativement mal conservée, une seule assise subsiste, et semble plutôt correspondre à une réfection de la fortification originelle. Une seconde phase de construction inédite, un mur maçonné dont les moellons sont liés au mortier de chaux, a été mise au jour, elle pourrait dater du XIIe siècle.Enfin, la totalité du mobilier métallique découvert depuis 2014 ainsi que les matériaux liés à la métallurgie du fer découverts sur le site ont été étudiés ; tout comme l’important lot de monnaies romaines exhumé entre 2018 et 2019

A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants

The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. “Combinatory qPCR SYBR®Green screening” (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS decision-support system (DSS) interprets the analytical results of SYBR®GREEN qPCR analysis based on four values: the Ct- and Tm values and the LOD and LOQ for each method. A theoretical explanation of the different concepts applied in CoSYPS analysis is given (GMO Universe, “Prime number tracing”, matrix/combinatory approach) and documented using the RoundUp Ready soy GTS40-3-2 as an example. By applying a limited set of SYBR®GREEN qPCR methods and through application of a newly developed “prime number”-based algorithm, the nature of subsets of corresponding GMO in a sample can be determined. Together, these analyses provide guidance for semi-quantitative estimation of GMO presence in a food and feed product

Towards a Pathogenic Escherichia coli Detection Platform Using Multiplex SYBR®Green Real-Time PCR Methods and High Resolution Melting Analysis

Escherichia coli is a group of bacteria which has raised a lot of safety concerns in recent years. Five major intestinal pathogenic groups have been recognized amongst which the verocytotoxin or shiga-toxin (stx1 and/or stx2) producing E. coli (VTEC or STEC respectively) have received a lot of attention recently. Indeed, due to the high number of outbreaks related to VTEC strains, the European Food Safety Authority (EFSA) has requested the monitoring of the “top-five” serogroups (O26, O103, O111, O145 and O157) most often encountered in food borne diseases and addressed the need for validated VTEC detection methods. Here we report the development of a set of intercalating dye Real-time PCR methods capable of rapidly detecting the presence of the toxin genes together with intimin (eae) in the case of VTEC, or aggregative protein (aggR), in the case of the O104:H4 strain responsible for the outbreak in Germany in 2011. All reactions were optimized to perform at the same annealing temperature permitting the multiplex application in order to minimize the need of material and to allow for high-throughput analysis. In addition, High Resolution Melting (HRM) analysis allowing the discrimination among strains possessing similar virulence traits was established. The development, application to food samples and the flexibility in use of the methods are thoroughly discussed. Together, these Real-time PCR methods facilitate the detection of VTEC in a new highly efficient way and could represent the basis for developing a simple pathogenic E. coli platform