1,346 research outputs found
Civil Twilight and Other Social Works
No full textThe book results from Bodor’s collaboration with artist Roddy Hunter between 2004 and 2007, prompted by Bodor’s interests in the possibilities of disseminating performance art through archival research in contexts and to audiences beyond those of the original performance. It built on Hunter’s earlier project, ‘Civil Twilight’ (2000-2004), which investigated environments for societal production of civic understanding through a series of durational performances that encouraged discursive public encounters in civic squares and related urban environments.
Bodor and Hunter collaborated to document, archive and re-contextualise these works in and for gallery contexts. The exhibition, 'Begin Civil Twilight' (premiered Dartington, September 2005) presented the performances in retrospect through representing their 'concept'. It included original documents and objects, documentation and installations, and audio and video recordings made during the performances and in the archival research period. Six context-specific gallery works based on the artist’s memories and experiences, and involving documentation as source material, completed the exhibition, which was accompanied by a public symposium concerning issues raised by and during the original performances.
Using archival documents gathered/created for the exhibition, and transcribed interviews from the research, the book was curated as another, final way of disseminating and contextualising Hunter’s performance practice. While focusing on archival material gathered through Hunter’s and Bodor’s collaboration, research for the publication extended to cover a longer, 15-year strand of Hunter’s practice that he conceives as ‘social works’. Artists John Newling (UK) and Vassya Vassileva (Bulgaria), contributors to the symposium, were commissioned to contribute essays.
Supporting portfolio: photo documentation of ‘Begin Civil Twilight’ exhibition (CD); URL for information about ‘Begin CivilTwilight’; copy of wall text from exhibition, jointly authored by Bodor and Hunter; copy of research presentation by Bodor and Hunter as part of Dartington’s annual cross-college research seminar series
How to validate numerical results on primary particle diameter to experimental data from laminar sooting flames
No full textCombustion generated soot particles have harmful effects on human health and our environment. An important aspect is to accurately determine the surface area of the particle population, which can be estimated from the particle size distribution (PSD) and morphology. Experimental investigations showed that large particles are aggregates constituted of several small primary particles [1]. Therefore, the determination of the primary particle size distribution (PPSD) is essential for the characterization of soot population. On the one side, sectional methods can be used to numerically predict the particle population of sooting flames. However, most of models assumes that large particles are spherical for all sections [2] or aggregates constituted of primary particles of identical size for all sections [3-5]. These strong assumptions can affect the results’ quality and the validity of the models themselves. On the other side, Time Resolved Laser Induced Incandescence (TiRe-LII) is a powerful, nonintrusive experimental method, which exploits the fact that the temporal decay of the LII signal is related to the primary particle diameter dp. Information on the PPSD can then be derived once the PPSD shape is presumed [6]. The general approach is to assume log-normal distribution, but Transmission Electron Microscopy measurements showed that this assumption may be not always valid [7]. In this context, the comparison of numerical results on the PPSD with experiments is extremely complex due to the strong assumptions underlying the numerical models and the fact that TiRE-LII technique does not measure directly the PPSD. In this work, we propose a new way to compare numerical to experimental data on PPSD. First, we improved our existing CFD code to obtain the mean size of the primary particles for each section, based on what proposed in [4]. Second, the TiRe-LII signal is reconstructed from the numerical PPSD and compared directly to the measured signal [8] to avoid any potential errors due to a presumed PPSD shape. This approach is applied to the investigation of an ethylene laminar-coflow diffusion flame [9], which is a target of the ISF workshop [10], and potential sources of errors are discussed
Spectroscopy as a rapid detecting paprika powder adulteration
No full textPaprika powder, a spice known for imparting flavour,
colour and aroma in foods has recently become
compromised by fraudulent activities involving
diverse adulterants such as corn flour and has
prompted quality assurance (QA) measures. Near
infrared spectroscopy (NIRS) is a non-destructive
method gaining grounds in QA applications. The
study applied NIRS to detect paprika powder
adulterated with corn flour. Chemometric evaluation
spectra showed that NIRS could discriminate cornflour
adulteration with 100% classification accuracy.
Adulteration was also predicted with high accuracies
coefficient of determination (R2CV) between 0.97
and 0.99 and low errors (0.72 g/100g), proving the
future QA applications of NIRS
Bábszínjáték : amit a bábszínjátszásról tudni kell
No full textMárton Lajos címlapjávalvitéz Bodor Aladá
Recommended from our members
Erratum: Octanol‐Water partition of nonzwitterionic peptides: Predictive power of a molecular size‐based model. Proteins 30:86–99, 1998
No full textBuchwald, P., Bodor, N. Octanol‐Water Partition of Nonzwitterionic Peptides: Predictive Power of a Molecular Size‐Based Model. Proteins 30:86–99, 1998.
Equation 2 should read: P = (Cin − Cfin) Vw/Cfin Vo.
In the printed version, the volume ratio (Vw/Vo) incorrectly divides, and not multiplies, the concentration ratio.
The publisher apologizes for this error
Bábszínjáték : amit a bábszínjátszásról tudni kell
No full textMárton Lajos címlapjávalvitéz Bodor Aladá
Preliminary assessment of Boise Cascade Corporation, Fern Flat., number 300 Road, Valsetz, Oregon 97393
No full textprepared by Aaron Bodor, Environmental Specialist.Title from PDF cover (viewed on April 1, 2021).Includes letter of transmittal."Site assessment database site no. 1100."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Presence at a distance:Alastair MacLennan and performing drawing in lockdown
No full textHow can the liveness of performance be sustained through mediated presence? How can performance artists reach audiences at times of physical isolation? What are the inherent difficulties and opportunities within performance art that curators can draw upon to respond to these questions after the COVID-19 pandemic? In response to these questions Judit Bodor discusses her approach – in collaboration with Adam Lockhart – to curating Scottish performance artist Alastair MacLennan's new body of performance drawing, LIM(I)NAL, using the artist’s archive website hosted by the University of Dundee. Looking at a range of ways that performance is mediated and materialised through exploring MacLennan’s central notion of ‘actuation’, Bodor situates the online exhibition within broader critical and curatorial approaches to liveness. The chapter concludes by reflecting upon the extent to which literal notion of liveness applied to performance art might disguise the fluidity and serendipity at the heart of MacLennan's practice which enforces, not distracts, from the holistic core and outlook of his work
Near infrared spectroscopy as a rapid method for detecting paprika powder adulteration with corn flour
No full textPaprika powder is a spice of culinary importance in many homes but it’s powdered form, has been targeted for fraudulent activities intended at consumer deception. Diverse methods have been used to investigate some of these adulterations but there is no report of paprika adulteration with corn flour, although it remains a suspicion. Technologies such as the near infrared spectroscopy (NIRS) possess non-invasive and rapid advantages that could be explored to monitor this type of adulteration. The study aimed to discriminate and quantify different levels of paprika powder adulterated with corn flour, using NIRS. Two authentic paprika types (DP and SP) were purchased from reputable sources in Hungary and artificially adulterated in the laboratory. Three repeats of each adulteration level (40%, 30%, 25%, 20%, 15%, 10%, 5%, 3%, 1%) were prepared and scanned with the Metri NIRS respectively, then, analysed with chemometrics: Linear discriminant analysis (LDA) and partial least squares regression (PLSR). LDA showed 100% recognition and prediction accuracies respectively when DP and SP were analyzed separately to discriminate different concentrations of paprika adulteration. LDA models with NIRS recognize corn flour adulteration with 95.55% and predict it with 95.02% accuracy irrespective of the paprika type used in this experiment. PLSR prediction of 40%, 30%, 25%, 20%, 15%, 10%, 5%, 3%, 1% corn flour adulteration yielded an R2CV of 0.98 (high accuracy) and a low RMSECV of 1.71 g/100g (low error). Near infrared as a non-invasive technique exhibited good potentials for paprika powder authentication when corn flour is used as an adulterant
Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR
No full textThe chemical composition of bee pollens differs greatly and depends primarily on the botanical origin of the product. Therefore, it is a crucially important task to discriminate pollens of different plant species. In our work, we aim to determine the applicability of microscopic pollen analysis, spectral colour measurement, sensory, NIR spectroscopy, e-nose and e-tongue methods for the classification of bee pollen of five different botanical origins. Chemometric methods (PCA, LDA) were used to classify bee pollen loads by analysing the statistical pattern of the samples and to determine the independent and combined effects of the above-mentioned methods. The results of the microscopic analysis identified 100% of sunflower, red clover, rapeseed and two polyfloral pollens mainly containing lakeshore bulrush and spiny plumeless thistle. The colour profiles of the samples were different for the five different samples. E-nose and NIR provided 100% classification accuracy, while e-tongue > 94% classification accuracy for the botanical origin identification using LDA. Partial least square regression (PLS) results built to regress on the sensory and spectral colour attributes using the fused data of NIR spectroscopy, e-nose and e-tongue showed higher than 0.8 R2 during the validation except for one attribute, which was much higher compared to the independent models built for instruments
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