1,722,190 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Genetic controllers address noise-associated limitations of synthetic gene networks in E. coli. From the synchronization of genetic clocks to lysis-driven drug delivery

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    This thesis focuses on the design, building and testing of controllers for synthetic gene networks in bacterium E. coli, to address noise-associated limitations of such systems. Synthetic gene networks, also known as genetic circuits, can be implemented into bacterial cells in the form of genetic material (usually circular DNA molecules) programming the gene expression and behavior of host cells. Applications of genetic circuits in bacteria range from energy and metabolite production to the manipulation of microbial consortia and cancer therapy. However, stochasticity at both the single- cell and the population level affects the reliability of synthetic gene networks, sometimes hindering the purpose they are designed for. In this thesis, we applied rational bioengineering principles to integrate into underlying synthetic networks additional genetic parts, acting as designed external controllers. The controllers aimed at reducing the impact of noise in two genetic circuits in E. coli, with applications in the fields of non-linear physics and cancer therapy, respectively. The first system is the repressilator, a renowned genetic circuit first presented in a seminal paper from 2000. It demonstrated the first experimental realization of a synthetic gene network designed from the bottom-up to produce periodic patterns of gene expression in individual bacteria. However, phase drifts and loss of synchronization are well-known noise-associated limitations of the repressilator, caused by the stochasticity of gene expression. We addressed these limitations by integrating an optogenetic module enabling to reset, delay, or advance the phase of the underlying oscillator using optical inputs. Our optically controllable genetic clock was the first experimental realization of a synthetic gene network to achieve long-term globally synchronized states through entrainment with a light cycle, with a mechanism reminiscent of natural circadian clocks. The high spatiotemporal resolution of optical stimulation and the simple structure of our network make it an optimal system to further investigate the non-linear dynamics of entrainment, phase adjustment and detuning in oscillating transcriptional networks. The second system I worked on falls within the field of engineered bacteria cancer therapy. The field aims at exploiting genetic circuits to maximize the potential of bacteria to deliver therapeutic payloads directly to tumors, with precise control over therapeutic release in space and time. We characterized non- pathogenic E. coli expressing the bacterial toxin Perfringolysin O (PFO), a potent cancer cell cytotoxin, and presented experimental evidence that expression of PFO causes lysis of bacteria in both batch culture and microfluidic systems, facilitating its efficient release. However, we demonstrated that a major source of noise hindering the efficacy of the therapy is the emergence of a non-lysing mutant population that limits therapeutic-releasing bacteria in a PFO-expression level dependent manner. We addressed this limitation by integrating a chemically controllable genetic module enabling to regulate the rate and duration of pfo expression. We developed a mathematical model describing the evolution of therapeutic-releasing and mutant bacteria populations revealing trade-offs between therapeutic load delivered and fraction of mutants that arise. Altogether, we demonstrated how dynamic modulation of gene expression through external controllers can address mutant takeovers giving rise to limitations in engineered bacteria for therapeutic applications. The two systems described above resulted in published papers on the journals eLife and SPJ BioDesign Research, respectively. In the last part of the thesis, we discuss the future perspectives of this work and present the design and characteriza- tion of additional controllers for lysis in E. coli. Notably, we describe an optogenetic controller that allows the fine-tuning of lysis in time and space, in response to three orthogonal wavelengths of light. We will end the thesis by addressing another question that the reader of this thesis might have: how can bacterial therapies evolve, going from bench to bedside? We will suggest an answer to this question by reviewing further developments of bacterial therapies: on the methodological side, reporting the construction of a microfluidic platform for the co-culture of engineered bacteria with human cancer cells, to evaluate the pharmacokinetics of bacterial therapies in vitro; and on the applicative side, introducing bacteria-based immunotherapies for cancer, another promising class of therapeutics whose efficacy could be enhanced by designed external controllers programming dynamic expression of the therapeutics. Altogether, this thesis demonstrates that rationally-designed genetic controllers are an effective tool to counteract the deleterious impact of noise affecting synthetic gene networks in E. coli, which hinders the development of safer, more reliable and reproducible gene-based systems for biomedical applications and beyond

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Exploring Financial Microblogs: Analysis of Users' Trading Profiles with Multivariate Statistical Methods

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    StockTwits is a Social Media focused on finance that is receiving increasing attention from finance experts and enthusiasts. In this work, StockTwits’ users are studied considering some of their self-declared characteristics, such as trading experience, holding period of the stocks, and trading approach. A Correspondence Analysis is carried out to investigate the relationships among these characteristics, the Simple Correspondence Analysis is applied to study the relationships between the approach and the holding period. The association between these variables and the experience is studied with the Multiple Correspondence Analysis. In the end, a cluster analysis carried out with hierarchical clustering is used to study the structure of the StockTwits community on the basis of the same characteristics. The analyses highlighted that the way users label their own approach and primary holding period reflect the objective relation linking technical strategy with short-term investments and fundamental approach with long-term ones. Moreover, it showed a weak relation of the experience in trading with the other features, configuring self-reported experience as a more cross-sectional characteristic

    Optimal concession contracts for oil exploitation

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    This paper studies the relationship between a government and private companies for the exploitation of an oilfield by means of concession-like contracts, i.e. concessions and Production Sharing Agreements. At this aim, we develop and solve a dynamic stochastic optimization problem in a real option framework. The model takes into account crucial as well as actual features of the real world, such as: the twofold goal of governments who must mediate between social interests and revenue maximization from concessions; the incentive for the private party to ”over exploit” natural resources and uncertainty over future payoffs. The results obtained can help policy makers in pursuing the delicate task of setting the ”right” terms of concession-like contracts, meaning that policy makers can have at least a benchmark to start interacting with private parties. This phase is particularly difficult for a number of reasons, such as the need to trade contrasting interests off, high risk of corruption and the fact that negotiations are made difficult by the high level of uncertainty due to incomplete or even faulty information

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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