Grounds of Morris Rosenwald, Esq....Planting plan.

Ink on linen; location, type, amount of plantings; footpaths, seats; residence by Howard V. Shaw; notes; signed; 84 x 43 cm.; Scale: 1" = 10' [from photographic copy by Lance Burgharrdt]

Estate of C.W. Seabury...Planting plan.

Red, black ink on linen; location, types, amounts of plantings; gardens, pool, seats, steps (?); residence by White and Christie; signed; 61 x 57 cm.; Scale: 1" = 10' [from photographic copy by Lance Burgharrdt]

Plan for grounds of Mr. J.F. Skinner.

Ink on linen; location, type of plantings, tennis court, pool, seats; cross-section of pool area; signed; 62 x 59 cm.; Scale: 1" = 10' [from photographic copy by Lance Burgharrdt]

Estate of Mr. Swift, Esq....Sketch for some alterations in plan.

Pencil on tracing paper; proposed road, tennis court, arbor, seats, native plantings, buildings; unsigned; 91 x 34 cm. [from photographic copy by Lance Burgharrdt]

A preliminary sketch of a campus theatre. Wisconsin University.

Pencil on tracing paper; seats, council hill, player's nooks, council fire, rocks; section of grade; section of council fire; signed; 68 x 62 cm.; Scale: 1" = 10' [from photographic copy by Lance Burgharrdt]

A planting plan for the grounds of Mr. D.M. Yates and Mr. Norman Smith.

Ink on linen; location, type, amounts of plantings; pond, footpaths, seats; signed; 77 x 54 cm.; Scale: 1" = 10' [from photographic copy by Lance Burgharrdt]

Taking the international spotlight: Pauline Hanson and Pauline Hanson's One Nation Party

Pauline Hanson's One Nation Party (PHONP) held an extraordinary place in the Australian and international media from March 1996, when Hanson was elected to the House of Representatives. Hanson's role as a charismatic leader idolised by supporters is unprecedented in postwar Australian politics and the leader and the party were totally identified, with Hanson's name incorporated into that of the organisation when PHONP won 11 of the 89 seats in the Queensland Legislative Assembly in June 1998.

An enigma still: Poujadism fifty years on

Few names resonate more loudly from the French Fourth Republic than that of Pierre Poujade, and few terms exude such a sulfurous odour as le poujadisme. Between 1953 and 1958, the Poujadists secured their place in modern French history, winning 52 seats in the National Assembly and inscribing a lasting entry in the lexicon of political protest. Taking as its starting point the fiftieth anniversary of Poujade’s movement held in its birthplace of Saint-Céré in July 2003, this article reassesses Poujadism fifty years on from its heyday. It considers Poujadism as the first important anti-globalisation movement in post-war France, a locus for the conflict between ‘stalemate’ traditionalism and socio-economic modernisation. It examines the trajectory of the Poujadists from anti-tax movement to political party, arguing the difficulty of defining Poujadism in classic political terms. In particular, the article takes issue with the perception of Poujadism as an extreme-right ideology and interprets it instead as a form of populist protest lacking a solid doctrinal core and opportunistic in its exploitation of political issues and allies. As such, it is argued, Poujadism represents a complex synthesis of both right-wing and left-wing values and discourses, as impervious to definition today as it was fifty years ago. The article considers the brief alliance of convenience between Poujade and Le Pen, and locates in Le Pen’s early Poujadist experience some of the methods and even some of the arguments used by the FN today. It concludes by discussing Poujade’s political activities after 1958, tracing his long-term conversion from violent opposition to the State under the Fourth Republic to co-operation under the Fifth. The author draws here on correspondence with Pierre Poujade up until his death in August 2003.

The antimicrobial efficacy of copper alloy furnishing in the clinical environment:a crossover study

Objective. To determine whether copper incorporated into hospital ward furnishings and equipment can reduce their surface microbial load. Design. A crossover study. Setting. Acute care medical ward with 19 beds at a large university hospital. Methods. Fourteen types of frequent-touch items made of copper alloy were installed in various locations on an acute care medical ward. These included door handles and push plates, toilet seats and flush handles, grab rails, light switches and pull cord toggles, sockets, overbed tables, dressing trolleys, commodes, taps, and sink fittings. Their surfaces and those of equivalent standard items on the same ward were sampled once weekly for 24 weeks. The copper and standard items were switched over after 12 weeks of sampling to reduce bias in usage patterns. The total aerobic microbial counts and the presence of indicator microorganisms were determined. Results. Eight of the 14 copper item types had microbial counts on their surfaces that were significantly lower than counts on standard materials. The other 6 copper item types had reduced microbial numbers on their surfaces, compared with microbial counts on standard items, but the reduction did not reach statistical significance. Indicator microorganisms were recovered from both types of surfaces; however, significantly fewer copper surfaces were contaminated with vancomycin-resistant enterococci, methicillin-susceptible Staphylococcus aureus, and coliforms, compared with standard surfaces. Conclusions. Copper alloys (greater than or equal to 58% copper), when incorporated into various hospital furnishings and fittings, reduce the surface microorganisms. The use of copper in combination with optimal infection-prevention strategies may therefore further reduce the risk that patients will acquire infection in healthcare environments.

Public scientific communication on Twitter:visual analytic approach

Purpose - The purpose of this paper is to assess high-dimensional visualisation, combined with pattern matching, as an approach to observing dynamic changes in the ways people tweet about science topics. Design/methodology/approach - The high-dimensional visualisation approach was applied to three scientific topics to test its effectiveness for longitudinal analysis of message framing on Twitter over two disjoint periods in time. The paper uses coding frames to drive categorisation and visual analytics of tweets discussing the science topics. Findings - The findings point to the potential of this mixed methods approach, as it allows sufficiently high sensitivity to recognise and support the analysis of non-trending as well as trending topics on Twitter. Research limitations/implications - Three topics are studied and these illustrate a range of frames, but results may not be representative of all scientific topics. Social implications - Funding bodies increasingly encourage scientists to participate in public engagement. As social media provides an avenue actively utilised for public communication, understanding the nature of the dialog on this medium is important for the scientific community and the public at large. Originality/value - This study differs from standard approaches to the analysis of microblog data, which tend to focus on machine driven analysis large-scale datasets. It provides evidence that this approach enables practical and effective analysis of the content of midsize to large collections of microposts.

Contextual semantics for sentiment analysis of Twitter

Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments. Results show that our approach significantly outperforms the baselines in accuracy and F-measure for entity-level subjectivity (neutral vs. polar) and polarity (positive vs. negative) detections. For tweet-level sentiment detection, our approach performs better than the state-of-the-art SentiStrength by 4-5% in accuracy in two datasets, but falls marginally behind by 1% in F-measure in the third dataset.

Adapting sentiment lexicons using contextual semantics for sentiment analysis of Twitter

Sentiment lexicons for sentiment analysis offer a simple, yet effective way to obtain the prior sentiment information of opinionated words in texts. However, words' sentiment orientations and strengths often change throughout various contexts in which the words appear. In this paper, we propose a lexicon adaptation approach that uses the contextual semantics of words to capture their contexts in tweet messages and update their prior sentiment orientations and/or strengths accordingly. We evaluate our approach on one state-of-the-art sentiment lexicon using three different Twitter datasets. Results show that the sentiment lexicons adapted by our approach outperform the original lexicon in accuracy and F-measure in two datasets, but give similar accuracy and slightly lower F-measure in one dataset.

Adapting sentiment lexicons using contextual semantics for sentiment analysis of twitter

Sentiment lexicons for sentiment analysis offer a simple, yet effective way to obtain the prior sentiment information of opinionated words in texts. However, words’ sentiment orientations and strengths often change throughout various contexts in which the words appear. In this paper, we propose a lexicon adaptation approach that uses the contextual semantics of words to capture their contexts in tweet messages and update their prior sentiment orientations and/or strengths accordingly. We evaluate our approach on one state-of-the-art sentiment lexicon using three different Twitter datasets. Results show that the sentiment lexicons adapted by our approach outperform the original lexicon in accuracy and F-measure in two datasets, but give similar accuracy and slightly lower F-measure in one dataset.

Semantic patterns for sentiment analysis of Twitter

Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words. Nevertheless, sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets. Unlike previous work on sentiment pattern extraction, our proposed approach does not rely on external and fixed sets of syntactical templates/patterns, nor requires deep analyses of the syntactic structure of sentences in tweets. We evaluate our approach with tweet- and entity-level sentiment analysis tasks by using the extracted semantic patterns as classification features in both tasks. We use 9 Twitter datasets in our evaluation and compare the performance of our patterns against 6 state-of-the-art baselines. Results show that our patterns consistently outperform all other baselines on all datasets by 2.19% at the tweet-level and 7.5% at the entity-level in average F-measure.

The extent of the population paradox in the Hungarian electoral system

The Hungarian mixed-member electoral system, adopted in 1989, is one of the world’s most complicated electoral systems, and, as this paper demonstrates, it suffers from the "population paradox". In particular, the governing coalition may lose as many as 8 seats either by getting more votes or by the opposition obtaining fewer votes on each territorial list.