Optimization of insect cell based protein production processes - online monitoring, expression systems, scale-up

Due to the increasing use of insect cell based expression systems in research and industrial recombinant protein production, the development of efficient and reproducible production processes remains a challenging task. In this context, the application of online monitoring techniques is intended to ensure high and reproducible product qualities already during the early phases of process development. In the following chapter, the most common transient and stable insect cell based expression systems are briefly introduced. Novel applications of insect cell based expression systems for the production of insect derived antimicrobial peptides/proteins (AMPs) are discussed using the example of G. mellonella derived gloverin. Suitable in situ sensor techniques for insect cell culture monitoring in disposable and common bioreactor systems are outlined with respect to optical and capacitive sensor concepts. Since scale-up of production processes is one of the most critical steps in process development, a conclusive overview is given about scale up aspects for industrial insect cell culture processes

Information-seeking in large-scale digital libraries: Strategies for scholarly workset creation

Large-scale digital libraries such as the HathiTrust contain massive quantities of content combined from heterogeneous collections, with consequential challenges in providing mechanisms for discovery, uni€ed access, and analysis. Œe HathiTrust Research Center has proposed ‘worksets’ as a solution for users to conduct their research into the 15 million volumes of HathiTrust content; however existing models of users’ information-seeking behaviour, which might otherwise inform workset development, were established before digital library resources existed at such a scale. We examine whether these information-seeking models can sufficiently articulate the emergent user activities of scholarly investigation as perceived during the creation of worksets. We demonstrate that a combination of established models by Bates, Ellis, and Wilson can accommodate many aspects of information seeking in largescale digital libraries at a broad, conceptual, level. We go on to identify the supplemental information-seeking strategies necessary to speci€cally describe several workset creation exemplars. Finally, we propose complementary additions to the existing models: we classify strategies as instances of querying, browsing, and contribution. Similarly we introduce a notion of scope according to the interaction of a strategy with content, content-derived metadata, or contextual metadata. Considering the scope and modality of new and existing strategies within the composite model allows us to beŠer express—and so aid our understanding of—informationseeking behaviour within large-scale digital libraries.</p

Music SOFA: An architecture for semantically informed recomposition of Digital Music Objects

We describe the design and implementation of a semantic music system which illustrates the assembly of a music composition using semantically annotated music fragments. The system, which we call SOFA (SOFA Ontological Fragment Assembler), demonstrates architectural design principles which may have more general applicability in the semantic music domain, notably the adoption of the Linked Data Platform to realise service components of the end-to-end pipeline so that data specialisation takes the place of service specialisation. The prototype builds upon two existing tools developed by the authors: Music Encoding and Linked Data (MELD), which augments and extends MEI structures with semantic Web Annotations capable of addressing musically meaningful score sections, and Numbers Into Notes, an algorithmic composition tool that acts as a 'semantic signal generator' to drive the tool chain. The system demonstrates the concept of Digital Musical Objects (DMOs), and in particular DMO processing and recomposition

Music SOFA: An architecture for semantically informed recomposition of Digital Music Objects

We describe the design and implementation of a semantic music system which illustrates the assembly of a music composition using semantically annotated music fragments. The system, which we call SOFA (SOFA Ontological Fragment Assembler), demonstrates architectural design principles which may have more general applicability in the semantic music domain, notably the adoption of the Linked Data Platform to realise service components of the end-to-end pipeline so that data specialisation takes the place of service specialisation. The prototype builds upon two existing tools developed by the authors: Music Encoding and Linked Data (MELD), which augments and extends MEI structures with semantic Web Annotations capable of addressing musically meaningful score sections, and Numbers Into Notes, an algorithmic composition tool that acts as a 'semantic signal generator' to drive the tool chain. The system demonstrates the concept of Digital Musical Objects (DMOs), and in particular DMO processing and recomposition

Собрание узаконений и распоряжений правительства, издаваемое при Правительствующем сенате. 1889. Первое полугодие. № 051. Ст. 397-407

date-added: 2017-12-22 17:57:51 +0000 date-modified: 2017-12-22 21:07:08 +0000 keywords: Semantic Audio, Metadata, Feature extraction, Resource description framework, Databases, Ontologies bdsk-url-1: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991563 bdsk-url-2: https://dx.doi.org/10.1109/JCDL.2017.7991563date-added: 2017-12-22 17:57:51 +0000 date-modified: 2017-12-22 21:07:08 +0000 keywords: Semantic Audio, Metadata, Feature extraction, Resource description framework, Databases, Ontologies bdsk-url-1: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991563 bdsk-url-2: https://dx.doi.org/10.1109/JCDL.2017.7991563date-added: 2017-12-22 17:57:51 +0000 date-modified: 2017-12-22 21:07:08 +0000 keywords: Semantic Audio, Metadata, Feature extraction, Resource description framework, Databases, Ontologies bdsk-url-1: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991563 bdsk-url-2: https://dx.doi.org/10.1109/JCDL.2017.7991563date-added: 2017-12-22 17:57:51 +0000 date-modified: 2017-12-22 21:07:08 +0000 keywords: Semantic Audio, Metadata, Feature extraction, Resource description framework, Databases, Ontologies bdsk-url-1: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7991563 bdsk-url-2: https://dx.doi.org/10.1109/JCDL.2017.799156

Plans and performances: Parallels in the production of science and music

Whether in the science lab or the music studio, we go in with a plan, we perform, and we make a record of that performance for distribution, consumption, and reuse. Both domains are increasingly data-intensive, with the adoption of new technology, and also socially intensive with democratised and growing citizen engagement. The music industry has embraced digital technology throughout the lifecycle from composition to consumption; scientific practice, and scholarly communication, are also undergoing transformation. Is the music industry more digital than science? We suggest that comparing and contrasting these two systems will provide insights of mutual benefit. Our investigation explores the notion of the Digital Music Object, analogous to the Research Object, for rich capture, sharing and reuse of both process and content

Construção e validação de conteúdo de checklist para a segurança do paciente em emergência

RESUMO Objetivo Construir e validar checklist de ações de segurança do paciente em atendimento de emergência. Método Pesquisa metodológica realizada em Curitiba, em 2015, com etapas de construção e validação. O checklist foi norteado pelas diretrizes do programa brasileiro para a segurança do paciente e validado pela Técnica Delphi online; com utilização de questionário próprio, e participação de 23 especialistas brasileiros na primeira rodada e 20 na segunda. Para a análise, utilizou-se o Índice de Validade de Conteúdo (IVC), o α de Cronbach e o Teste Exato de Fisher. Resultados Obteve-se checklist com 18 itens válidos e confiáveis (94% de IVC, α de Cronbach=0,91). Conclusões O checklist contempla ações para segurança do paciente, permite verificar situações preditivas de risco, direcionar ações de correção e promover a segurança em serviços de emergência e outros contextos de saúde