23 research outputs found

    Albumin-derived peptides efficiently reduce renal uptake of radiolabelled peptides

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    Contains fulltext : 88022.pdf (publisher's version ) (Closed access)PURPOSE: In peptide-receptor radionuclide therapy (PRRT), the maximum activity dose that can safely be administered is limited by high renal uptake and retention of radiolabelled peptides. The kidney radiation dose can be reduced by coinfusion of agents that competitively inhibit the reabsorption of radiolabelled peptides, such as positively charged amino acids, Gelofusine, or trypsinised albumin. The aim of this study was to identify more specific and potent inhibitors of the kidney reabsorption of radiolabelled peptides, based on albumin. METHODS: Albumin was fragmented using cyanogen bromide and six albumin-derived peptides with different numbers of electric charges were selected and synthesised. The effect of albumin fragments (FRALB-C) and selected albumin-derived peptides on the internalisation of (111)In-albumin, (111)In-minigastrin, (111)In-exendin and (111)In-octreotide by megalin-expressing cells was assessed. In rats, the effect of Gelofusine and albumin-derived peptides on the renal uptake and biodistribution of (111)In-minigastrin, (111)In-exendin and (111)In-octreotide was determined. RESULTS: FRALB-C significantly reduced the uptake of all radiolabelled peptides in vitro. The albumin-derived peptides showed different potencies in reducing the uptake of (111)In-albumin, (111)In-exendin and (111)In-minigastrin in vitro. The most efficient albumin-derived peptide (peptide #6), was selected for in vivo testing. In rats, 5 mg of peptide #6 very efficiently inhibited the renal uptake of (111)In-minigastrin, by 88%. Uptake of (111)In-exendin and (111)In-octreotide was reduced by 26 and 33%, respectively. CONCLUSIONS: The albumin-derived peptide #6 efficiently inhibited the renal reabsorption of (111)In-minigastrin, (111)In-exendin and (111)In-octreotide and is a promising candidate for kidney protection in PRRT.1 februari 201

    Best practice-based evaluation of software engineering tool support: Collaborative tool support for design, data modeling, specification, and automated testing of service interfaces

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    Especially in complex software development projects, involving various actors and interaction interdependencies, the design of service interfaces is crucially important. In this work, a structured approach to support the design, specification and documentation of service interface standards is presented. To do so, we refer to a complex use case, dealing with the integration of multiple mobility services on a single platform. This endeavor requires the development of a large number of independently usable service interface standards which adhere to a multitude of quality aspects. A structured approach is required to speed up and simplify development and also to enable synergies between these service interfaces. In a previous work, we performed a requirements analysis to identify important aspects and shortcomings of the current development process and to elicit potential improvements. Starting with a first implementation of collaborative tool support for service interface development, we conducted a best practice-based evaluation with experts of the Association of German Transport Companies (VDV). In this paper, we want to present the results of this focus group-based evaluation and discuss their implications for the envisaged tool support for collaborative service interface development (design, data modeling, specification, and automated testing)

    Flexible multicriterial agenda planning in public transit systems an intelligent agent for mobility-oriented agenda planning

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    Planning a mobility-oriented agenda is a time-consuming and tedious task for many travelers. A person is required to collect information from different sources such as a map service, a business register, a calendar and a journey planner. However, she is mostly not interested in either planning the agenda or the journeys between different locations of the agenda; but is more interested in completing the tasks of the agenda. Therefore, we propose an intelligent agenda planning agent that aims to support people with this task. We integrate public transit schedules with additional spatial information from OpenStreetMap to create an information database for the agent. The agent can then plan tasks and appointments and the mobility between those items. First brief evaluations with a survey have shown, that the algorithm finds shorter agendas than most manually found agendas. However, participants of the survey criticized the temporal placement of tasks in the agenda

    A structured approach to support collaborative design, specification and documentation of communication protocols

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    Especially in complex software development projects, involving various actors and communication interde-pendencies, the design of communication protocols is crucially important. In this work, a structured approach to support the design, specification and documentation of communication protocol standards is presented. To do so, we refer to a complex use case, dealing with the integration of multiple mobility services on a single platform. This endeavor requires the development of a large number of independently usable protocol standards which adhere to a multitude of quality aspects. A structured approach is required to speed up and simplify development and also to enable synergies between these protocols. Our requirements analysis methodology consists of interviewing domain experts to identify important aspects and shortcomings of the current development process and to elicit potential improvements. These intermediate results are prioritized and incorporated into a requ irements specification for a standardized communication protocol development process. Furthermore, we assess existing software solutions in terms of their applicability

    Das Verhalten von Hausärzten im eigenen Krankheitsfall - Einfluss der internalen Kontrollüberzeugung

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    Fostering the usage of alternative mobility modes, e.g., carsharing or carpooling becomes more and more urgent in modern urban planning. Politicians and city planners have already recognized that putting targeted incentives can influence people;s mobility behavior in an effective way. Agent-based simulations of transportation demand can be a valuable tool to support these planning processes. This work is based on a state-of-the-art transportation demand simulation and shows modeling and simulation modifications related with agents under the influence of incentives. These agents have been assessed in qualitative and quantitative studies prior to the simulation. Results show that agent-based simulation of transportation demand is suitable to evaluate impacts of transportation demand management measures. More specifically, all investigated measures show certain impacts on mobility mode choice, at which an incentive combination is most effective
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