8,869 research outputs found

    Competent genetic-evolutionary optimization of water distribution systems

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    A genetic algorithm has been applied to the optimal design and rehabilitation of a water distribution system. Many of the previous applications have been limited to small water distribution systems, where the computer time used for solving the problem has been relatively small. In order to apply genetic and evolutionary optimization technique to a large-scale water distribution system, this paper employs one of competent genetic-evolutionary algorithms - a messy genetic algorithm to enhance the efficiency of an optimization procedure. A maximum flexibility is ensured by the formulation of a string and solution representation scheme, a fitness definition, and the integration of a well-developed hydraulic network solver that facilitate the application of a genetic algorithm to the optimization of a water distribution system. Two benchmark problems of water pipeline design and a real water distribution system are presented to demonstrate the application of the improved technique. The results obtained show that the number of the design trials required by the messy genetic algorithm is consistently fewer than the other genetic algorithms

    Leishmania tarentolae: taxonomic classification and its application as a promising biotechnological expression host

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    In this review, we summarize the current knowledge concerning the eukaryotic protozoan parasite Leishmania tarentolae, with a main focus on its potential for biotechnological applications. We will also discuss the genus, subgenus, and species-level classification of this parasite, its life cycle and geographical distribution, and similarities and differences to human-pathogenic species, as these aspects are relevant for the evaluation of biosafety aspects of L. tarentolae as host for recombinant DNA/protein applications. Studies indicate that strain LEM-125 but not strain TARII/UC of L. tarentolae might also be capable of infecting mammals, at least transiently. This could raise the question of whether the current biosafety level of this strain should be reevaluated. In addition, we will summarize the current state of biotechnological research involving L. tarentolae and explain why this eukaryotic parasite is an advantageous and promising human recombinant protein expression host. This summary includes overall biotechnological applications, insights into its protein expression machinery (especially on glycoprotein and antibody fragment expression), available expression vectors, cell culture conditions, and its potential as an immunotherapy agent for human leishmaniasis treatment. Furthermore, we will highlight useful online tools and, finally, discuss possible future applications such as the humanization of the glycosylation profile of L. tarentolae or the expression of mammalian recombinant proteins in amastigotelike cells of this species or in amastigotes of avirulent human-pathogenic Leishmania species

    Precision medicine for the discovery of treatable mechanisms in severe asthma

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    Although the complex disease of asthma has been defined as being heterogeneous, the extent of its endophenotypes remain unclear. The pharmacological approach to initiating treatment has, until recently, been based on disease control and severity. The introduction of antibody therapies targeting the Type2 inflammation pathway for patients with severe asthma has resulted in the recognition of an allergic and an eosinophilic phenotype, which are not mutually exclusive. Concomitantly, molecular phenotyping based on a transcriptomic analysis of bronchial epithelial and sputum cells has identified a Type-2-high inflammation cluster characterised by eosinophilia and recurrent exacerbations, as well as Type-2-low clusters linked with IL-6 trans-signalling, interferon pathways, inflammasome activation and mitochondrial oxidative phosphorylation pathways. Systems biology approaches are establishing the links between these pathways or mechanisms, and clinical and physiologic features. Validation of these pathways contributes to defining endotypes and treatable mechanisms. Precision medicine approaches are necessary to link treatable mechanisms with treatable traits and biomarkers derived from clinical, physiologic and inflammatory features of clinical phenotypes. The deep molecular phenotyping of airway samples along with non-invasive biomarkers linked to bioinformatic and machine learning techniques will enable the rapid detection of molecular mechanisms that transgresses beyond the concept of treatable traits. This article is protected by copyright. All rights reserved

    Understanding the impact of engineering through appropriate technology development

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    Abstract: This research describes a pilot project which aimed to introduce CDIO-type (Conceive-Design-Implement-Operate), project-based learning through a community-based project in a third year Material Science module. The project formed part of an agriculture research initiative, and relied on interdisciplinary research collaboration between engineering, social sciences, management, entrepreneurship, and industrial arts. The initiative seeks to develop an agribusiness solution that will create an open-market, growth-oriented food economy. As part of the initiative, engineering students, participating in teams, worked alongside a community of urban farmers, most of whom are working poor, so as to develop appropriate, intermediate technology/ies that could support the farmers. This was informed by the need to have students demonstrate high level understanding of disciplinary content, but also to engage in human-centered design thinking and practice

    Ethical demand and first year civil engineering study : applying virtue ethics

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    Abstract: Incidents within the civil engineering profession (structural collapses, collusion, and the like) draw attention to the need for ethical conduct on the part of civil engineering practitioners. This paper explores ethical action in first-year civil engineering study. This is done to discuss the role of universities in the development of civil engineering graduates with a critical awareness of the need for ethical action. The paperusesaparticularapproachtovirtueethicstotheorizefirst-yearstudentactionsduringapracticalexerciseinconcretemixproportioning. Three aspects of ethical action emerged from observation of the students’ completion of this practicum: corner-cutting, erroneous reporting, and misrepresentation of knowledge and ability. The paper argues that ethical behavior should be nurtured and discussed throughout the undergraduate degree, so that students are more likely to practice ethical behavior after graduation. There is thus opportunity to better integrateconsiderationofethicalresponsibilityintotheundergraduatecurriculum, and to shift the focus of higher education away from external goods to the good of the profession and the communities it serves

    Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease

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    Citation: Shi, Z. Z., Wu, C. H. J., Ben-Arieh, D., & Simpson, S. Q. (2015). Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease. Biomed Research International, 31. doi:10.1155/2015/504259Sepsis is a systemic inflammatory response (SIR) to infection. In this work, a system dynamics mathematical model (SDMM) is examined to describe the basic components of SIR and sepsis progression. Both innate and adaptive immunities are included, and simulated results in silico have shown that adaptive immunity has significant impacts on the outcomes of sepsis progression. Further investigation has found that the intervention timing, intensity of anti- inflammatory cytokines, and initial pathogen load are highly predictive of outcomes of a sepsis episode. Sensitivity and stability analysis were carried out using bifurcation analysis to explore system stability with various initial and boundary conditions. The stability analysis suggested that the system could diverge at an unstable equilibrium after perturbations if r(t2max) (maximum release rate of Tumor Necrosis Factor- (TNF-) alpha by neutrophil) falls below a certain level. This finding conforms to clinical findings and existing literature regarding the lack of efficacy of anti- TNF antibody therapy

    Shrinking Point Bifurcations of Resonance Tongues for Piecewise-Smooth, Continuous Maps

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    Resonance tongues are mode-locking regions of parameter space in which stable periodic solutions occur; they commonly occur, for example, near Neimark-Sacker bifurcations. For piecewise-smooth, continuous maps these tongues typically have a distinctive lens-chain (or sausage) shape in two-parameter bifurcation diagrams. We give a symbolic description of a class of "rotational" periodic solutions that display lens-chain structures for a general NN-dimensional map. We then unfold the codimension-two, shrinking point bifurcation, where the tongues have zero width. A number of codimension-one bifurcation curves emanate from shrinking points and we determine those that form tongue boundaries.Comment: 27 pages, 6 figure
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