Sedimentation in an artificial lake -Lake Matahina, Bay of Plenty

Lake Matahina, an 8 km long hydroelectric storage reservoir, is a small (2.5 km2), 50 m deep, warm monomictic, gorge-type lake whose internal circulation is controlled by the inflowing Rangitaiki River which drains a greywacke and acid volcanic catchment. Three major proximal to distal subenvironments are defined for the lake on the basis of surficial sediment character and dominant depositional process: (a) fluvial-glassy, quartzofeld-spathic, and lithic gravel-sand mixtures deposited from contact and saltation loads in less than 3 m depth; (b) (pro-)deltaic-quartzofeldspathic and glassy sand-silt mixtures deposited from graded and uniform suspension loads in 3-20 m depth; and (c) basinal-diatomaceous, argillaceous, and glassy silt-clay mixtures deposited from uniform and pelagic suspension loads in 20-50 m depth. The delta face has been prograding into the lake at a rate of 35-40 m/year and vertical accretion rates in pro-delta areas are 15-20 cm/year. Basinal deposits are fed mainly from river plume dispersion involving overflows, interflows, and underflows, and by pelagic settling, and sedimentation rates behind the dam have averaged about 2 cm/year. Occasional fine sand layers in muds of basinal cores attest to density currents or underflows generated during river flooding flowing the length of the lake along a sublacustrine channel marking the position of the now submerged channel of the Rangitaiki River

Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models

The interpretation of complex high-dimensional data typically requires the use of dimensionality reduction techniques to extract explanatory low-dimensional representations. However, in many real-world problems these representations may not be sufficient to aid interpretation on their own, and it would be desirable to interpret the model in terms of the original features themselves. Our goal is to characterise how feature-level variation depends on latent low-dimensional representations, external covariates, and non-linear interactions between the two. In this paper, we propose to achieve this through a structured kernel decomposition in a hybrid Gaussian Process model which we call the Covariate Gaussian Process Latent Variable Model (c-GPLVM). We demonstrate the utility of our model on simulated examples and applications in disease progression modelling from high-dimensional gene expression data in the presence of additional phenotypes. In each setting we show how the c-GPLVM can extract low-dimensional structures from high-dimensional data sets whilst allowing a breakdown of feature-level variability that is not present in other commonly used dimensionality reduction approaches

Price Discovery in Canadian Government Bond Futures and Spot Markets

In this paper we look at the relative information content of cash and futures prices for Canadian Government bonds. We follow the information-share approaches introduced by Hasbrouck (1995) and Harris et al (1995), applying the techniques in Gonzalo-Granger (1995), to evaluate the relative contributions of trading in the cash and futures markets to the price discovery process. Both approaches estimate a vector error correction model that permits the separation of long-run price movements from short-run market microstructure effects. As well, we follow Yan and Zivot (2004) who introduce size measures of a market's adjustment to a new equilibrium during the price discovery process. We find that, on an average day, just over 70% of price discovery occurs on the futures market where bid-ask spreads are lower and trading activity is higher. The size of the responses to shocks and the time taken to adjust to a new equilibrium are found to be significantly larger for the cash market.Financial markets; Market structure and pricing

Growth or Glamour? Fundamentals and Systematic Risk in Stock Returns

The cash flows of growth stocks are particularly sensitive to temporary movements in aggregate stock prices (driven by movements in the equity risk premium), while the cash flows of value stocks are particularly sensitive to permanent movements in aggregate stock prices (driven by market-wide shocks to cash flows. ) Thus the high betas of growth stocks with the market's discount-rate shocks, and of value stocks with the market's cash-flow shocks, are determined by the cash-flow fundamentals of growth and value companies. Growth stocks are not merely "glamour stocks" whose systematic risks are purely driven by investor sentiment. More generally, accounting measures of firm-level risk have predictive power for firms' betas with market-wide cash flows, and this predictive power arises from the behavior of firms' cash flows. The systematic risks of stocks with similar accounting characteristics are primarily driven by the systematic risks of their fundamentals.

Growth or Glamour? Fundamentals and Systematic Risk in Stock Returns

The cash flows of growth stocks are particularly sensitive to temporary movements in aggregate stock prices (driven by movements in the equity risk premium), while the cash flows of value stocks are particularly sensitive to permanent movements in aggregate stock prices (driven by market-wide shocks to cash flows.) Thus the high betas of growth stocks with the market's discount-rate shocks, and of value stocks with the market's cash-flow shocks, are determined by the cash-flow fundamentals of growth and value companies. Growth stocks are not merely "glamour stocks" whose systematic risks are purely driven by investor sentiment. More generally, accounting measures of firm-level risk have predictive power for firms' betas with market-wide cash flows, and this predictive power arises from the behavior of firms' cash flows. The systematic risks of stocks with similar accounting characteristics are primarily driven by the systematic risks of their fundamentals.

Web of Lives: How Regulating the Dark Web Can Combat Online Human Trafficking

This article argues that one of the ways to appropriately fight online human trafficking is through governmental regulation of the Dark Web. Specifically, this article argues that a new Attaching Criminal Dark Web Statute is the best method to combat human trafficking because it can incentivize prosecutors to use current human trafficking statutes to prosecute traffickers. This proposal can deter traffickers from enslaving people. Additionally, this article shows the evolution of online human trafficking laws, investigation, and prosecution (Section II); demonstrates why current and proposed laws do not effectively address the online human trafficking issue (Sections III and IV); introduces novel, proposed laws and methods to regulate the Dark Web (Section V); and presents arguments for and against proposals to regulate the Dark Web (V and VI)

Electrophilic Cleavage and Functionalization of Polyisobutylenes Bearing Unsaturations in the Backbone and Synthesis of Polymers for this Process

In the first project, we demonstrated a new reaction, which is a subset of the Friedel‑Crafts alkylation reaction, in which the alkylating carbocation undergoes a cleavage reaction prior to reaction with the aromatic substrate. This reaction was discovered by the observation that when a PIB containing a large amount of coupled fraction was subjected to a mixture of protic and Lewis acids (HCl/TiCl4) in the presence of an alkoxybenzene compound, the coupled fraction was quantitatively converted to its constituent monofunctional chains, which became functionalized by the alkoxybenzene. In the second project, a commercial polymer, poly(isobutylene-co-isoprene) (butyl rubber) was used as a substrate upon which the aforementioned electrophilic cleavage and functionalization reaction was performed. The goal of this project was to degrade a high molecular weight, main-chain olefin-containing copolymer of isobutylene into low molecular weight difunctional telechelic polyisobutylenes. This general process, though not necessarily proceeding by the aforementioned novel chemical reaction, has been described in the literature as “constructive degradation.” Though we were unable to synthesize truly telechelic polyisobutylenes by this method, we were able to demonstrate this method as a viable route to low molecular weight multifunctional PIBs. In the third project, we attempted to synthesize a random copolymer, previously reported by Kennedy et al., of isobutylene and 2,4-dimethyl-1,3-pentadiene (DMPD). The interest in this copolymer was based on its structural similarity to the coupled PIB mentioned in the first project. However, we found that these two monomers are not well suited to the creation of random copolymers due to a large difference in reactivity ratios. The project presented in this chapter was then redirected toward the structural characterization of the products of attempted copolymerization and of the homo-polymerization of DMPD. In the fourth project, we investigated the copolymer of isobutylene and β-pinene as a substrate for the aforementioned cleavage/functionalization reaction. We were able to synthesize high molecular weight copolymers of these two monomers via slurry polymerization catalyzed by either TiCl4 or ethylaluminum dichloride (EADC), and though the degradation and functionalization kinetics were much slower than for butyl rubber, we did observe a drastic decrease in molecular weight accompanied by functionalization of the polymer, thus proving this chemistry is applicable to copolymers of isobutylene other than butyl rubber

Controlled Production of Microalgae for Possible Use as the Biofuel Feedstock

As a part of the research directed at the production of biofuels from microalgae, we\u27ve been exploring algal strains and their growth conditions that yield the maximum amount of biomass and target biochemicals. Microalgal species were collected from local and non-local regions, and subjected to the isolation, identification, and cultivation. Lipid contents were monitored in order to evaluate their potential as a sustainable feedstock for producing biodiesel. Microalgae growth media containing various concentrations of essential nutrients were compared for the best algal biomass production. The optimum algal cultivation condition was determined by measuring the amount of biomass present during the log phase of growth through the measurement of optical density or dry weight. For the large-scale (65L) algae cultivation, an incremental volume was harvested daily for biomass yield determination. The harvesting and de-watering of algae culture were conducted via the chitosan-aided flocculation technique which allowed the treatment of large quantities