Heterotopic and Neo-Victorian Affinities: Introducing the Special Issue on Neo-Victorian Heterotopias

The introduction to this special issue on Neo-Victorian Heterotopias investigates the affinities between the spaces designated by Michel Foucault’s ambivalent and protean concept of ‘heterotopia’ and the similarly equivocal, shifting, and adaptable cultural phenomenon of ‘neo-Victorianism’. In both cases, cultural spaces and/or artefacts prove deeply intertwined with chronicity, at once juxtaposing and blending different temporal moments, past and present. Socially produced sites of distinct emplacement are exposed not just as culturally and historically contingent constructs, but simultaneously enable forms of resistance to the prevailing ideologies that call them into being. The fertile exercise of considering heterotopias and neo-Victorianism in conjunction opens up new explorations of the Long Nineteenth Century and its impact on today’s cultural imaginary, memory and identity politics, contestations of systemic historical iniquities, and engagements with forms of difference, non-normativity, and Otherness.

The geometry of artistic space in the works by Valentin Louis Georges Eugène Marcel Proust

The article considers the peculiarities of the artistic system in the works by the French writer of the turn of the 19th–20th centuries, VLGE Marcel Proust. The foundations of his aesthetic views, which are manifested primarily at the level of the structural organisation in the novel cycle “In Search of Lost Timeˮ are studied. The specificity of the narrative, where the main role is played by involuntary memory, allows us to speak about the special geometry of the artistic space in this work. It happens due to Proust's rejection of “plane psychologyˮ in favour of “psychology in time”. It is shown how on such a basis, thanks to the mnemonic mechanism, a complex connection of spontaneously arising spatial fragments with the temporal moments of existence arises and the chronotopic structure of the novel, built on the principle of relativity, is constructed where time becomes, in fact, the fourth dimension of space.

Manual Segmentation of 12 Layers of the Retina and Choroid through SD-OCT in Intermediate AMD: Repeatability and Reproducibility

Purpose: To evaluate the repeatability and reproducibility of the segmentation of 12 layers of the retina and the choroid, performed manually by SD-OCT, along the horizontal meridian at three different temporal moments, and to evaluate its concordance with the same measurements performed by two other operators in intermediate AMD. Methods: A cross-sectional study of 40 eyes from 40 subjects with intermediate AMD was conducted. The segmentation was performed manually, using SD-OCT. The 169 measurements per eye were repeated at three time points to study the intra-operator variability. The same process was repeated a single time by two different trained operators for the inter-operator variability. Results: Forty participants (28 women and 12 men) were enrolled in this study, with an average age of 76.4 ± 8.2 (range, 55–92 years). Overall, the maximum values of the various structures were found in the 3 mm of the macula. Intra-operator variability: the highest ICC values turned out to be discovered in thicker locations. Inter-operator variability: except correlation values of 0.826 (0.727; 0.898) obtained in the OPL (T2.5) and 0.634 (0.469; 0.771) obtained in the IPL (N2), all other correlation values were >0.92, in most cases approaching higher values like 0.98. Conclusion: The measurements of several layers of the retina and the choroid achieved at 13 locations presented a good repeatability and reproducibility. Manual quantification is still an alternative for the weaknesses of automatic segmentation. Locations of greatest concordance should be those used for the clinical control and monitoring.

A Brief Study on a Novel Approach for the Gearbox Fault Diagnosis

Fault diagnosis of the gearbox is a decisive part of the modern industry to find the many gearbox defects like gear tooth crack, chipped or broken, etc. But sometimes, the nonstationary properties of vibration signal and low energy of minimal faults make this procedure very challenging. Previously, many types of techniques have been developed for gearbox condition monitoring. But most of the methods are dealing with conventional techniques of the gearbox condition monitoring, such as time-domain analysis or frequency domain analysis. Most of the conventional methods are not suitable for the nonstationary vibration signal. Thus, this paper presents a novel gearbox fault diagnosis technique using conditional temporal moments and an optimizable support vector machine (SVM). This work also presents an integrated features extraction technique based on the standard features, i.e., statistical and spectral features with the combinations of moment features. The impact of the four conditional temporal moments of each gearbox condition is also presented. This work shows that the proposed method successfully classifies and categorizes the gearbox faults at an early stage.

Joint Distribution of Rainfall Characteristics: Intensity, Total Depth, Spatial and Temporal Moments

<p>Determination of peak flow or flow hydrograph in ungauged basins can be affected by considerable degree of uncertainty. Despite the considerable efforts to overcome this challenge, current methods provide design flood estimates that are still highly uncertain in ungauged catchments, even in the UK where the gauged network is relatively dense. A possible solution may be found in stochastic approaches and more specifically in the Derived Flood Frequency method, which gives the possibility to decompose runoff response effects dictated by the dominant hydrological processes for a catchment under study. Data scarcity can be then circumvented by application of UK-specific stochastic models, from which rainfall events and their relevant features are sampled. In this work, the latter rainfall model will be presented as a joint distribution function of spatial and temporal moments of catchment rainfall, along with their Intensity and Total Depth. The marginal distributions for each rainfall characteristic are studied through the L-moment method, which was previously developed for regional frequency analysis. The multivariate distribution of these rainfall characteristics will be described through the Vine Copula method, which can account for dependence very flexibly among several variables. Parameterisation procedures still require more development to allow application over ungauged case of studies.</p>

The Remarkable Generality of the Transient Storage Model with Residence Time Dependence: Temporal Moments.

<p>Several distinct approaches to the one-dimensional modeling of river corridor transport at the macroscale have been developed as generalizations of the original Transient Storage Model (TSM).  We show that essentially all of them can be captured by simply restructuring the TSM so that the exchange coefficients are functions of residence time, because doing so converts the TSM to a general memory function form.  We use this generalized TSM approach to find novel closed-form expressions for the temporal moments of breakthrough curves resulting from river corridor tracer tests, when hyporheic zone exchange is governed by a memory function.  These expressions are useful because they can be used to test different hypotheses about the hyporheic zone residence time distribution based on analyses of the temporal moments of the tracer test breakthrough curves prior to detailed modeling work.  We demonstrate the application with a case study, and present extensions of the notion of making rate coefficients depend on residence time.</p>

Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests

We compare two ensemble Kalman-based methods to estimate the hydraulic conductivity field of an aquifer from data of hydraulic and tracer tomographic experiments: (i) the Ensemble Kalman Filter (EnKF) and (ii) the Kalman Ensemble Generator (KEG). We generated synthetic drawdown and tracer data by simulating two pumping tests, each followed by a tracer test. Parameter updating with the EnKF is performed using the full transient signal. For hydraulic data, we use the standard update scheme of the EnKF with damping, whereas for concentration data, we apply a restart scheme, in which solute transport is resimulated from time zero to the next measurement time after each parameter update. In the KEG, we iteratively assimilate all observations simultaneously, here inverting steady-state heads and mean tracer arrival times. The inversion with the dampened EnKF worked well for the transient pumping-tests, but less for the tracer tests. The KEG produced similar estimates of hydraulic conductivity but at significantly lower costs. We conclude that parameter estimation in well-defined hydraulic tests can be done very efficiently by iterative ensemble Kalman methods, and ambiguity between state and parameter updates can be completely avoided by assimilating temporal moments of concentration data rather than the time series themselves.