The temple of nature : or, The origin of society, a poem with philosophical notes /

Bound with the author's The botanic garden. London, 1825.

The harbinger : a May-gift.

A collection of poems in three parts: pt. I, by Park Benjamin, p. 1-30; pt. II, by Oliver Wendell Holmes, p. 31-61; pt. III, by John O. Sargent, p. 63-96. cf. G. B. Ives, Bibl. of Oliver Wendell Holmes, p. 118.

Quinti Sereni Samonici De medicina praecepta salvberrima /

Printed Ex officina Breitkopfia, Leipzig, Germany.

Reflective writing: The student nurse's perspective on reflective writing and poetry writing.

Summary Background Reflective writing is a mandatory part of nurse education but how students develop their skills and use reflection as part of their experiential learning remains relatively unknown. Understanding reflective writing in all forms from the perspective of a student nurse is therefore important. Objectives To explore the use of reflective writing and the use of poetry in pre-registered nursing students. Design A qualitative design was employed to explore reflective writing in pre-registered nursing students. Setting A small university in Scotland. Participants BSc (Hons) Adult and Mental Health Pre-registration Student Nurses. Methods Two focus groups were conducted with 10 student nurses during March 2012. Data was analysed thematically using the framework of McCarthy (1999). Results Students found the process of reflective writing daunting but valued it over time. Current educational methods, such as assessing reflective accounts, often lead to the ‘narrative’ being watered down and the student feeling judged. Despite this, reflection made students feel responsible for their own learning and research on the topic. Some students felt the use of models of reflection constricting, whilst poetry freed up their expression allowing them to demonstrate the compassion for their patient under their care. Conclusions Poetry writing gives students the opportunity for freedom of expression, personal satisfaction and a closer connection with their patients, which the more formal approach to reflective writing did not offer. There is a need for students to have a safe and supportive forum in which to express and have their experiences acknowledged without the fear of being judged.

The silent statue theme: complex imitation and Neo-Latin poetry

This paper analyses how the topic of the silent statue is dealt with in Neo-Latin literature. The subject matter comes from the epigrams about Pythagoras of the Palatine Anthology. There are numerous Neo-Latin imitations of this topic that are complex as various sources are used at the same time. The authors focus on an active reading of the epigrams of their predecessors, applying the traditional motive to new subjects and adapting it to the religious theme.

From Rhythm to Topic: Horacian themes in a crepuscular poem by Manuel Bandeira

This paper consists of an analysis of the poem “Chama e fumo”, from As Cinzas das Horas, first book by Manuel Bandeira, regarding specially formal aspects and horacian themes within it. Moreover, it is intended to discuss how the modernist poet interweaves elements related both to classic and end of century symbolist tradition, considering some of the main ancient poetry themes, as theorized by Francisco Achcar in his book Lírica e Lugar-comum - Alguns Temas de Horário e sua presença em português, such as the topic of transience and its variations: carpe diem and the invitation to love.

A distributed knowledge management infrastructure based on a Topic Map grid

Modern enterprise knowledge management systems typically require distributed approaches and the integration of numerous heterogeneous sources of information. A powerful foundation for these tasks can be Topic Maps, which not only provide a semantic net-like knowledge representation means and the possibility to use ontologies for modelling knowledge structures, but also offer concepts to link these knowledge structures with unstructured data stored in files, external documents etc. In this paper, we present the architecture and prototypical implementation of a Topic Map application infrastructure, the ‘Topic Grid’, which enables transparent, node-spanning access to different Topic Maps distributed in a network.

Adaptive dual control of topic-based information retrieval

Information Retrieval is an important albeit imperfect component of information technologies. A problem of insufficient diversity of retrieved documents is one of the primary issues studied in this research. This study shows that this problem leads to a decrease of precision and recall, traditional measures of information retrieval effectiveness. This thesis presents an adaptive IR system based on the theory of adaptive dual control. The aim of the approach is the optimization of retrieval precision after all feedback has been issued. This is done by increasing the diversity of retrieved documents. This study shows that the value of recall reflects this diversity. The Probability Ranking Principle is viewed in the literature as the “bedrock” of current probabilistic Information Retrieval theory. Neither the proposed approach nor other methods of diversification of retrieved documents from the literature conform to this principle. This study shows by counterexample that the Probability Ranking Principle does not in general lead to optimal precision in a search session with feedback (for which it may not have been designed but is actively used). Retrieval precision of the search session should be optimized with a multistage stochastic programming model to accomplish the aim. However, such models are computationally intractable. Therefore, approximate linear multistage stochastic programming models are derived in this study, where the multistage improvement of the probability distribution is modelled using the proposed feedback correctness method. The proposed optimization models are based on several assumptions, starting with the assumption that Information Retrieval is conducted in units of topics. The use of clusters is the primary reasons why a new method of probability estimation is proposed. The adaptive dual control of topic-based IR system was evaluated in a series of experiments conducted on the Reuters, Wikipedia and TREC collections of documents. The Wikipedia experiment revealed that the dual control feedback mechanism improves precision and S-recall when all the underlying assumptions are satisfied. In the TREC experiment, this feedback mechanism was compared to a state-of-the-art adaptive IR system based on BM-25 term weighting and the Rocchio relevance feedback algorithm. The baseline system exhibited better effectiveness than the cluster-based optimization model of ADTIR. The main reason for this was insufficient quality of the generated clusters in the TREC collection that violated the underlying assumption.