7,710 research outputs found

    Optimizing culture medium for debittering constitutive enzyme naringinase production by Aspergillus oryzae JMU316

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    The objective of this study was to investigate nutrient requirements for extracellular constitutive naringinase production by Aspergillus oryzae JMU316. The one-factor-at-a-time method was used to determine the impact of different carbon and nitrogen sources on naringinase production. Naringin exhibited the highest naringinase activity compared to all other carbon sources and pomelo pericarp powder produced comparable naringinase activity. Pomelo pericarp powder was selected as carbon source because it is a waste of fruit process, which means that it is a cheap resource and has additional environmental benefits. Peptone proved to be the most suitable nitrogen source for naringinase production. Subsequently, the orthogonal matrix method was used to further optimize the concentration of pomelo pericarp powder, peptone, and minerals. The optimal concentration of the components were15 g pomelo pericarp powder, 12 g peptone, 0.2 g CaCl2, 0.4 g NaCl, 2 g MgSO4·7H2O and 1 g K2HPO4 in 1 L distilled water for producing 408.28 IU/mL naringinase activity. The effects of medium components on naringinase were in the order of pomelo pericarp powder, K2HPO4, NaCl, peptone, CaCl2, MgSO4·7H2O. This two-step optimization strategy used in this study can be widely applied to other microbial fermentation processes.Key words: Pomelo pericarp powder, orthogonal matrix method, naringinase, culture medium optimization, Aspergillus oryzae JMU316

    Scalable Similarity Search for Molecular Descriptors

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    Similarity search over chemical compound databases is a fundamental task in the discovery and design of novel drug-like molecules. Such databases often encode molecules as non-negative integer vectors, called molecular descriptors, which represent rich information on various molecular properties. While there exist efficient indexing structures for searching databases of binary vectors, solutions for more general integer vectors are in their infancy. In this paper we present a time- and space- efficient index for the problem that we call the succinct intervals-splitting tree algorithm for molecular descriptors (SITAd). Our approach extends efficient methods for binary-vector databases, and uses ideas from succinct data structures. Our experiments, on a large database of over 40 million compounds, show SITAd significantly outperforms alternative approaches in practice.Comment: To be appeared in the Proceedings of SISAP'1

    Cellular modelling of Alström syndrome in human primary dermal fibroblasts and derived cells

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    RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

    Nano-FTIR Spectroscopy of Intersubband Polaritons in Single Nanoantenna

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    We demonstrate observation of infrared (IR) intersubband (ISB) polaritons in an isolated subwavelength size nanoantenna using near-field Fourier-transform infrared (FTIR) spectroscopy of the evanescent fields on the nanoantenna surface. The near-field approach enables detection of the distinctive polariton splitting of the nanoantenna resonance in the amplitude and phase spectra, as well as mapping of the ISB polariton dispersion. The nano-FTIR spectroscopy approach opens doors for investigations of light-matter interaction in the single subwavelength nanoantenna regime

    Cognitively-inspired Agent-based Service Composition for Mobile & Pervasive Computing

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    Automatic service composition in mobile and pervasive computing faces many challenges due to the complex and highly dynamic nature of the environment. Common approaches consider service composition as a decision problem whose solution is usually addressed from optimization perspectives which are not feasible in practice due to the intractability of the problem, limited computational resources of smart devices, service host's mobility, and time constraints to tailor composition plans. Thus, our main contribution is the development of a cognitively-inspired agent-based service composition model focused on bounded rationality rather than optimality, which allows the system to compensate for limited resources by selectively filtering out continuous streams of data. Our approach exhibits features such as distributedness, modularity, emergent global functionality, and robustness, which endow it with capabilities to perform decentralized service composition by orchestrating manifold service providers and conflicting goals from multiple users. The evaluation of our approach shows promising results when compared against state-of-the-art service composition models.Comment: This paper will appear on AIMS'19 (International Conference on Artificial Intelligence and Mobile Services) on June 2

    Collider Phenomenology with Split-UED

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    We investigate the collider implications of Split Universal Extra Dimensions. The non-vanishing fermion mass in the bulk, which is consistent with the KK-parity, largely modifies the phenomenology of Minimal Universal Exta Dimensions. We scrutinize the behavior of couplings and study the discovery reach of the Tevatron and the LHC for level-2 Kaluza-Klein modes in the dilepton channel, which would indicates the presence of the extra dimensions. Observation of large event rates for dilepton resonances can result from a nontrivial fermion mass profile along the extra dimensions, which, in turn, may corroborate extra dimensional explanation for the observation of the positron excess in cosmic rays.Comment: 23 pages, 15 figure
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