We have revealed the critical role of carbon coating in the stability and thermal behaviour of olivine MnPO 4 obtained by chemical delithiation of LiMnPO 4 . (Li)MnPO 4 samples with various particle sizes and carbon contents were studied. Carbon-free LiMnPO 4 obtained by solid state synthesis in O 2 becomes amorphous upon delithiation. Small amounts of carbon (0.3 wt%) help to stabilize the olivine structure, so that completely delithiated crystalline olivine MnPO 4 can be obtained. Larger amount of carbon (2 wt%) prevents full delithiation. Heating in air, O 2 , or N 2 results in structural disorder (<300 C), formation of an intermediate sarcopside Mn 3 (PO 4 ) 2 phase (350-450 C), and complete decomposition to Mn 2 P 2 O 7 on extended heating at 400 C. Carbon coating protects MnPO 4 from reacting with environmental water, which is detrimental to its structural stability.

Purpose -Recent years have seen "really simple syndication" or "rich site summary"(RSS) syndication of frequently updated content become ubiquitous across the internet. RSS's XML-based format allows these data to be stored in a semi-structured format but, despite the presence of online aggregators and readers, and the related work in clustering feeds and mining subjects by keywords, much potentially useful information present in RSS may remain undiscovered. This paper aims to address this issue in an experimental setting. Design/methodology/approach -This paper presents two distinct technologies which employ the semi-structured nature of RSS content to allow users to mine information directly from raw RSS feeds: occurrence mining counts occurrences of text strings in feeds, whilst value mining mines structured ticker tape numeric data. It describes both technologies and their implementation in an experiment, where 35 students mined small numbers of RSS feeds and visualised the data mined. Findings -This paper analyses the results of the experiment and cites examples of data mined and visualisations produced. The subject matter of data mined is also explored and potential applications of the technologies are considered.Research limitations/implications -The mining technologies proposed in this paper have been developed to mine textual and numeric data directly from feeds, but can be extended to mine other data types present in RSS and to include other variants like Atom. Originality/value -These technologies are seen to be applicable to data mining, the role of data and visualisations in social data analysis, issue tracking in news mining and time series analysis.

No abstract

Abstract. RSS, a popular method of syndicating frequently updated on-line content, allows data to be stored in a semi-structured, XMLbased format. Much work has been carried out applying data mining techniques to RSS, but in this paper we propose the visualRSS (vRSS) application as a platform to mine and visualise data trends in RSS feeds, by tracking changes in keyword frequencies as a source of social data. Core components of vRSS's architecture to manipulate RSS feeds are described. We also present the results of vRSS's initial experimental usage involving 36 students in late 2011, concerning our research into preferences of mining types and visualisations.

No abstract