The works of Mr. John Oldham, together with his remains : in two volumes : to this edition are added, memoirs of his life, and explanatory notes upon some obscure passages of his writings : adorned with cuts.

Signatures: v. 1. A¹²,a⁶,B-I¹²,K-L¹²,M⁶; v. 2. [*]³,A-I¹²,K-O¹²,P³.

The history of Everton, including familiar dissertations on the people, and descriptive delineations of the several & separate properties of the township : with map, plates, and wood-cuts /

Mode of access: Internet.

The complete works of Robert Burns (self-interpreting) Illustrated with sixty etchings and wood cuts, maps and facsimiles...

Mode of access: Internet.

Fifty years a journalist. Line cuts by Paul Brown.

Mode of access: Internet.

Against government salary cuts!

Mode of access: Internet.

Do LBO's profit after R&D cuts?

Mode of access: Internet.

The domestic encyclopaedia; or, A dictionary of facts, and useful knowledge: : comprehending a concise view of the latest discoveries, inventions, and improvements, chiefly applicable to rural and domestic enconomy; together with descriptions of the most interesting objects of nature and art; the history of men and animals, in a state of health or disease; and practical hints respecting the arts and manufactures, both familiar and commercial. Illustrated with numerous engravings and cuts. In four volumes. Volume first[-fourth]. /

Includes indexes.

Can we predict dividend cuts?

I examine the predictability of dividend cuts based on the time interval between dividend announcement dates using a large dataset of US firms from 1971 to 2014. The longer the time interval between dividend announcements, the larger the probability of a cut in the dividend per share, consistent with the view that firms delay the release of bad news.

Women demonstrate against social security cuts

General note: Title and date provided by Bettye Lane.

Women demonstrate against social security cuts

General note: Title and date provided by Bettye Lane.

Women demonstrate against social security cuts

General note: Title and date provided by Bettye Lane.

MLCut: exploring multi-level cuts in dendrograms for biological data.

Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alternative automated or semi-automated methods that cut dendrograms in multiple levels make assumptions about the data in hand. In an attempt to help the user to find patterns in the data and resolve ambiguities in cluster assignments, we developed MLCut: a tool that provides visual support for exploring dendrograms of heterogeneous data sets in different levels of detail. The interactive exploration of the dendrogram is coordinated with a representation of the original data, shown as parallel coordinates. The tool supports three analysis steps. Firstly, a single-height similarity threshold can be applied using a dynamic slider to identify the main clusters. Secondly, a distinctiveness threshold can be applied using a second dynamic slider to identify “weak-edges” that indicate heterogeneity within clusters. Thirdly, the user can drill-down to further explore the dendrogram structure - always in relation to the original data - and cut the branches of the tree at multiple levels. Interactive drill-down is supported using mouse events such as hovering, pointing and clicking on elements of the dendrogram. Two prototypes of this tool have been developed in collaboration with a group of biologists for analysing their own data sets. We found that enabling the users to cut the tree at multiple levels, while viewing the effect in the original data, is a promising method for clustering which could lead to scientific discoveries.

Jazz Innovations, Part 1 The Fresh Cuts and Hammers to Horns December 7, 2016

Concert Program

The promise of computational journalism.

There are at least four key challenges in the online news environment that computational journalism may address. Firstly, news providers operate in a rapidly evolving environment and larger businesses are typically slower to adapt to market innovations. News consumption patterns have changed and news providers need to find new ways to capture and retain digital users. Meanwhile, declining financial performance has led to cost cuts in mass market newspapers. Finally investigative reporting is typically slow, high cost and may be tedious, and yet is valuable to the reputation of a news provider. Computational journalism involves the application of software and technologies to the activities of journalism, and it draws from the fields of computer science, social science and communications. New technologies may enhance the traditional aims of journalism, or may require “a new breed of people who are midway between technologists and journalists” (Irfan Essa in Mecklin 2009: 3). Historically referred to as ‘computer assisted reporting’, the use of software in online reportage is increasingly valuable due to three factors: larger datasets are becoming publicly available; software is becoming sophisticated and ubiquitous; and the developing Australian digital economy. This paper introduces key elements of computational journalism – it describes why it is needed; what it involves; benefits and challenges; and provides a case study and examples. Computational techniques can quickly provide a solid factual basis for original investigative journalism and may increase interaction with readers, when correctly used. It is a major opportunity to enhance the delivery of original investigative journalism, which ultimately may attract and retain readers online.