Detecting Anomalies in Graphs with Numeric Labels

This paper presents Yagada, an algorithm to search labelled graphs for anomalies using both structural data and numeric attributes. Yagada is explained using several security-related examples and validated with experiments on a physical Access Control database. Quantitative analysis shows that in the upper range of anomaly thresholds, Yagada detects twice as many anomalies as the best-performing numeric discretization algorithm. Qualitative evaluation shows that the detected anomalies are meaningful, representing a com- bination of structural irregularities and numerical outliers.

CHARACTERIZATION OF THE CYSTEINE PROTEINASES OF THE COMMON LIVER FLUKE FASCIOLA-HEPATICA USING NOVEL, ACTIVE-SITE-DIRECTED AFFINITY LABELS

The excreted/secreted proteinases of adult and juvenile Fasciola hepatica maintained in vitro were found to hydrolyse the fluorogenic substrates Cbz-Phe-Arg- and Cbz-Arg-Arg-NHMec. This activity was demonstrated to have a classical cysteine proteinase inhibitor profile, with turn-over of both substrates being blocked by pre-incubation with E64 and peptidyl diazomethanes. The Cbz-Arg-Arg-NHMec hydrolysing activity of the mature fluke exhibited an alkaline stability not characteristic of its mammalian lysosomal counterparts. Further, the biotinylated affinity reagents biotin-Phe-Ala CHN2 and biotin-Phe-Cys(SBzyl)-CHN2 were used to label and characterize these cysteine proteinases in terms of apparent molecular weight and subsite specificity. Adult fluke media were found to contain four species of molecular weights 66, 58, 50 and 25-26 kDa; juvenile media contained three species of molecular weights 66, 54 and 25-26 kDa. The major 25-26 kDa cysteine proteinase common to both stages was shown to have a subsite specificity similar to that of mammalian cathepsin B.

Food Labels, Autonomy and the Right (Not) to Know

Food labelling has been overlooked in the emerging body of literature concerning the normative dimensions of food and drink policies. In this paper, I argue that arguments normally advanced in bioethics and medical ethics regarding the “right to know” and the “right not to know” can provide useful normative guidelines for critically assessing existing and proposed food labelling regimes. More specifically, I claim that food labelling ought to respect the legitimate interests and the autonomy of both consumers who seek knowledge about their food in order to make informed dietary choices and consumers who prefer to remain ignorant about the contents and effects of their food in order to avoid the emotional and psychological harm, or more simply the loss of enjoyment, which may result from receiving that information.

Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels

Many graph datasets are labelled with discrete and numeric attributes. Most frequent substructure discovery algorithms ignore numeric attributes; in this paper we show how they can be used to improve search performance and discrimination. Our thesis is that the most descriptive substructures are those which are normative both in terms of their structure and in terms of their numeric values. We explore the relationship between graph structure and the distribution of attribute values and propose an outlier-detection step, which is used as a constraint during substructure discovery. By pruning anomalous vertices and edges, more weight is given to the most descriptive substructures. Our method is applicable to multi-dimensional numeric attributes; we outline how it can be extended for high-dimensional data. We support our findings with experiments on transaction graphs and single large graphs from the domains of physical building security and digital forensics, measuring the effect on runtime, memory requirements and coverage of discovered patterns, relative to the unconstrained approach.

Smart, Reusable labels for assessing self-cleaning films

Novel, reversible (reusable) photocatalyst activity indicator labels, which undergo a rapid colour change when in contact with a photocatalytic film via the photoreduction of methylene blue contained within the label’s adhesive, are explored as a method for assessing the activity of self-cleaning glass in situ and the laboratory, using digital photography.

Canadian Beer Labels

An assortment of Canadian beer labels.

Imported Brandy Labels

A selection of Brandy labels all imported by the Liquor Control Boards. One is an import from Portugal for the Liquor Control Board of British Columbia, the other imports are for the Liquor Control Board of Ontario and are from France, Portugal, and South Africa.

Sir Robert Burnett Labels

A collection of Sir Robert Burnett labels. The company was established in England in 1770, but these labels read "Distilled and Bottled according to the Original Formula of Sir Robert Burnett Co., Ltd. London W.I., England by The Sir Robert Burnett Co. A Division of Distillers Corporation Ltd. Montreal, Canada".

Gooderham's Labels

A collection of Gooderham's labels that include: Bonded Stock Canadian Whisky, London Dry Gin, Big Brown Jug Canadian Rye Whiskey, and Rich and Rare Canadian Whiskey. The labels indicate the distillery was established in 1832, Toronto, and is Canada's first.