97 research outputs found

    Pattern-based evaluation of Oracle-BPEL

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    Patterns in colored petri nets

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    Enhancing declarative process models with DMN decision logic

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    Modeling dynamic, human-centric, non-standardized and knowledge-intensive business processes with imperative process modeling approaches is very challenging. Declarative process modeling approaches are more appropriate for these processes, as they offer the run-time flexibility typically required in these cases. However, by means of a realistic healthcare process that falls in the aforementioned category, we demonstrate in this paper that current declarative approaches do not incorporate all the details needed. More specifically, they lack a way to model decision logic, which is important when attempting to fully capture these processes. We propose a new declarative language, Declare-R-DMN, which combines the declarative process modeling language Declare-R with the newly adopted OMG standard Decision Model and Notation. Aside from supporting the functionality of both languages, Declare-R-DMN also creates bridges between them. We will show that using this language results in process models that encapsulate much more knowledge, while still offering the same flexibility

    Development of a targeted and controlled nanoparticle delivery system for FoxO1 inhibitors

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    Background: Poly (lactic-co-glycolic acid) (PLGA) and polyethylene glycol (PEG) are polymers approved by the United States’ Food and Drug Administration. Drugs for various medical treatments have been encapsulated in PLGA-PEG nanoparticles for targeted delivery and reduction of unwanted side effects. Methods: A flow synthesis method for PLGA-PEG nanoparticles containing FoxO1 inhibitors and adipose vasculature targeting agents was developed. A set of nanoparticles including PLGA and PLGA-PEG-P3 unloaded and drug loaded were generated. The particles were characterized by DLS, fluorescence spectroscopy, TEM, and dialysis. Endotoxin levels were measured using the LAL chromogenic assay. Our approach was compared to over 270 research articles using information extraction tools. Results: Nanoparticle hydrodynamic diameters ranged from 142.4 ±0.4 d.nm to 208.7 ±3.6 d.nm while the polydispersity index was less than 0.500 for all samples (0.057 ±0.021 to 0.369 ±0.038). Zeta potentials were all negative ranging from -4.33 mV to -13.4 mV. Stability testing confirmed that size remained unchanged for up to 4 weeks. For AS1842856, loading was 0.5 mg drug/mL solution and encapsulation efficiency was ~100%. Dialysis indicated burst release of drug in the first 4 hours. Conclusion: PLGA encapsulation of AS1842856 was successful but unsuccessful for the two more hydrophilic drugs. Alternative syntheses such as water/oil/water emulsion or liposomal encapsulation are being considered. Analysis of data from published papers on PLGA nanoparticles indicated that our results were consistent with identified process-structure relationships and few groups reported endotoxin levels even though in vivo testing was performed.https://scholarscompass.vcu.edu/gradposters/1071/thumbnail.jp

    The conceptualization of a configurable multi-party multi-message request-reply conversation

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    Organizations, to function effectively and expand their boundaries, require a deep insight into both process orchestration and choreography of cross-organization business processes. The set of requirements for service interactions is significant, and has not yet been sufficiently refined. Service Interaction Patterns studies by Barros et al. demonstrate this point. However, they overlook some important aspects of service interaction of bilateral and multilateral nature. Furthermore, the definition of these patterns are not precise due to the absence of a formal semantics. In this paper, we analyze and present a set of patterns formed around the subset of patterns documented by Barros et al. concerned with Request-Reply interactions, and extend these ideas to cover multiple parties and multiple messages. We concentrate on the interaction between multiple parties, and analyze issues of a non-guaranteed response and different aspects of message handling. We propose one configurable, formally defined, conceptual model to describe and analyze options and variants of request-reply patterns. Furthermore, we propose a graphical notation to depict every pattern variant, and formalize the semantics by means of Coloured Petri Nets. In addition, we apply this pattern family to evaluate WS-BPEL v2.0 and check how selected pattern variants can be operationalized in Oracle BPEL PM

    Karakterisasi Senyawa Isoprenoid Dan Pertumbuhan Semai Mangrove Avicennia Alba Bl.

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    This study aims to determine the characterization of isoprenoid compounds in the mangrove A. alba and seedling growth of A. alba at different levels of salinity. The results showed the total lipids in the leaves of A. alba (21 mg) was higher than that in the roots (11,7 mg). Total Non Saponifiable Lipids (NSL) content in the leaves of A. alba (1,1 mg) greater than that in the roots (0,6 mg). NSL composition of A. alba consists of 3 major factions namely triterpenoids, phytosterols, and other compounds. Phytosterol composition in the leaves and roots of A. alba showed the presence of compounds such as campesterol, stigmasterol and β-sitosterol. As frase for the composition triterpenoid found the presence of β-amyrin, germanicol, betulin, lupeol and α-amyrin. Phytol, cholesterol, and squalene were also found as the other compounds. The content of the NSL triterpenoid was higher than phytosterol in the leaves and roots of A. alba. The results also showed that phytol compounds had the highest content of leaves of A. alba (71.4 %) and the β-sitosterol had the highest content of root A. alba (27.8 %). Based on the analysis of the effect of salinity on seedling growth of A. alba showed that the salinity of 2% significantly affected the seedling height and diameter of 3 months of A. alba

    Video coding and decoding devices and methods preserving ppg relevant information

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    The present invention relates to a video encoding device (10) for encoding video data and a corresponding video decoding device, wherein during decoding PPG relevant information shall be preserved. For this purpose the video coding device (10) comprises a first encoder (20) for encoding input video data (100) according to a first encoding scheme and outputting first coded video data (120) having a lower quality than the input video data, and a second encoder (30) for encoding input video data (100) according to a second encoding scheme preserving PPG-relevant information and outputting second coded video data (130)
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