191 research outputs found

    Modeling the Effects of Distribution System Topology on Water Quality

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    Inadequate treatment of drinking water causes the formation of disinfection by-products and the regrowth of harmful microbial species. Various studies have addressed the problem of water quality monitoring, but very few have employed topological analysis, a valuable mathematical tool widely applied in biological, business, and social research. This thesis examines the relationship between the topological properties of water distribution systems and water-quality models. In particular, the research proposes a novel framework for mapping network topological attributes to water-quality models. This research adopts topological metrics to assess the accuracy of the predictions of chlorine concentrations in dead ends. It examines four fundamental water-quality models: advection, advection-dispersion, bulk-advection, and bulk-advection-dispersion. The results show the bulk-advection-dispersion model has larger root mean square errors in networks with a grid structure, and that topological metrics are generally correlated with water-quality models, although more studies are required to develop this correlation in detail

    Ordering, time, & place : a Cistercian monastery

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    This thesis investigates the making of architecture according to the monastic principles of order, time and place as prescribed in the Rule of St. Benedict. Monastic life requires order and those who live according to the Rule of St. Benedict lead a life that is structured according to a set of activities: work, prayer, living in community, reading, hospitality, mutual help, and support. It is order that instills a sense of harmony within the monastic community and allows for each member to develop their lives spirituality. Cistercians follow the Rule of St. Benedict with strict observance. Historically, Cistercian monasteries and churches are simple and minimalist in design and construction. Their simplicity and sparseness reinforces the ideal of poverty and desire to escape the material world. Truthfulness and honesty are inherent qualities of Cistercian architecture. Spaces are created that respond directly to a monk\u27s daily activities of \u27ora\u27 and \u27labora\u27. The proposed project will be the design of a Cistercian monastery in a remote location bordering the village of Hot Springs, North Carolina. Architectural notions of ordering, time, and place as they relate to Cistercian principles will be investigated and incorporated in the overall design of the monastery

    Discrimination in lexical decision.

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    In this study we present a novel set of discrimination-based indicators of language processing derived from Naive Discriminative Learning (ndl) theory. We compare the effectiveness of these new measures with classical lexical-distributional measures-in particular, frequency counts and form similarity measures-to predict lexical decision latencies when a complete morphological segmentation of masked primes is or is not possible. Data derive from a re-analysis of a large subset of decision latencies from the English Lexicon Project, as well as from the results of two new masked priming studies. Results demonstrate the superiority of discrimination-based predictors over lexical-distributional predictors alone, across both the simple and primed lexical decision tasks. Comparable priming after masked corner and cornea type primes, across two experiments, fails to support early obligatory segmentation into morphemes as predicted by the morpho-orthographic account of reading. Results fit well with ndl theory, which, in conformity with Word and Paradigm theory, rejects the morpheme as a relevant unit of analysis. Furthermore, results indicate that readers with greater spelling proficiency and larger vocabularies make better use of orthographic priors and handle lexical competition more efficiently

    Innovator, 2000-07-10

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    The Innovator was a student newspaper published at Governors State University between March 1972 and October 2000. The newspaper featured student reporting, opinions, news, photos, poetry, and original graphics

    Efficient and Accurate Spiking Neural Networks

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    Planting a Lyman alpha forest on AbacusSummit

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    The full-shape correlations of the Lyman alpha (Ly α) forest contain a wealth of cosmological information through the Alcock-Paczyński effect. However, these measurements are challenging to model without robustly testing and verifying the theoretical framework used for analysing them. Here, we leverage the accuracy and volume of the N-body simulation suite AbacusSummit to generate high-resolution Ly α skewers and quasi-stellar object (QSO) catalogues. One of the main goals of our mocks is to aid in the full-shape Ly α analysis planned by the Dark Energy Spectroscopic Instrument (DESI) team. We provide optical depth skewers for six of the fiducial cosmology base-resolution simulations (, N = 69123) at z = 2.5. We adopt a simple recipe based on the Fluctuating Gunn-Peterson Approximation (FGPA) for constructing these skewers from the matter density in an N-body simulation and calibrate it against the 1D and 3D Ly α power spectra extracted from the hydrodynamical simulation IllustrisTNG (TNG;, N = 25003). As an important application, we study the non-linear broadening of the baryon acoustic oscillation (BAO) peak and show the cross-correlation between DESI-like QSOs and our Ly α forest skewers. We find differences on small scales between the Kaiser approximation prediction and our mock measurements of the Ly α × QSO cross-correlation, which would be important to account for in upcoming analyses. The AbacusSummit Ly α forest mocks open up the possibility for improved modelling of cross-correlations between Ly α and cosmic microwave background (CMB) lensing and Ly α and QSOs, and for forecasts of the 3-point Ly α correlation function. Our catalogues and skewers are publicly available on Globus via the National Energy Research Scientific Computing Center (NERSC) (full link under the section 'Data Availability')
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