A checklist of the Limnichidae and the Lutrochidae (Coleoptera) of the world

A checklist of the world species of Limnichidae (35 genera, 345 species) and Lutrochidae (1 genus, 11 species) is presented. The author, year of publication and page number, synonyms, distribution by country, and a terminal bibliography are given for each genus and species. Biological information is also reviewed

Three new species of Hexanchorus Sharp, 1882 (Coleoptera: Elmidae: Larainae) from South America

Three new species of Hexanchorus Sharp, H. dimorphus and H. shannoni from Argentina, and H. mcdiarmidi from Venezuela, are described and illustrated

Rediscovery and redescription of Ceradryops punctatus Hinton, 1937 (Coleoptera: Dryopidae)

Ceradryops punctatus Hinton from Sri Lanka is redescribed and illustrated. Notes are made on the habitat of the species

Luchoelmis : a new genus of Elmidae (Coleoptera) from Chile and Argentina

Luchoelmis New Genus is described with four new species: aequalis, magallanensis, and penai from Chile and cekalovici from Argentina and Chile. Luchoelmis penai is designated as the type species of the genus. A key to the four species is presented

Mining Text and Time Series Data with Applications in Finance

Finance is a field extremely rich in data, and has great need of methods for summarizing and understanding these data. Existing methods of multivariate analysis allow the discovery of structure in time series data but can be difficult to interpret. Often there exists a wealth of text data directly related to the time series. In this thesis it is shown that this text can be exploited to aid interpretation of, and even to improve, the structure uncovered. To this end, two approaches are described and tested. Both serve to uncover structure in the relationship between text and time series data, but do so in very different ways. The first model comes from the field of topic modelling. A novel topic model is developed, closely related to an existing topic model for mixed data. Improved held-out likelihood is demonstrated for this model on a corpus of UK equity market data and the discovered structure is qualitatively examined. To the authors’ knowledge this is the first attempt to combine text and time series data in a single generative topic model. The second method is a simpler, discriminative method based on a low-rank decomposition of time series data with constraints determined by word frequencies in the text data. This is compared to topic modelling using both the equity data and a second corpus comprising foreign exchange rates time series and text describing global macroeconomic sentiments, showing further improvements in held-out likelihood. One example of an application for the inferred structure is also demonstrated: construction of carry trade portfolios. The superior results using this second method serve as a reminder that methodological complexity does not guarantee performance gains

A revised attack on computational ontology

There has been an ongoing conflict regarding whether reality is fundamentally digital or analogue. Recently, Floridi has argued that this dichotomy is misapplied. For any attempt to analyse noumenal reality independently of any level of abstraction at which the analysis is conducted is mistaken. In the pars destruens of this paper, we argue that Floridi does not establish that it is only levels of abstraction that are analogue or digital, rather than noumenal reality. In the pars construens of this paper, we reject a classification of noumenal reality as a deterministic discrete computational system. We show, based on considerations from classical physics, why a deterministic computational view of the universe faces problems (e.g., a reversible computational universe cannot be strictly deterministic)

Are the special educational needs of children in their first year in primary school in Ireland being identified: a cross-sectional study

BACKGROUND: If the window of opportunity presented by the early years is missed, it becomes increasingly difficult to create a successful life-course. A biopsychosocial model of special educational need with an emphasis on participation and functioning moves the frame of reference from the clinic to the school and the focus from specific conditions to creating supportive environments cognisant of the needs of all children. However, evidence suggests that an emphasis on diagnosed conditions persists and that the needs of children who do not meet these criteria are not identified. The Early Development Instrument (EDI) is a well-validated, teacher-completed population-level measure of five domains of child development. It is uniquely placed, at the interface between health and education, to explore the developmental status of children with additional challenges within a typically developing population. The aim of this study was to examine the extent to which the special educational needs of children in their first year of formal education have been identified. METHODS: This cross-sectional study was conducted in Ireland in 2011. EDI (teacher completed) scores were calculated for 1344 children. Data were also collected on special needs and on children identified by the teacher as needing assessment. Mean developmental scores were compared using one-way ANOVA. RESULTS: Eighty-three children in the sample population (6.2%) had identified special educational needs. A further 132 children were judged by the teacher as needing assessment. Children with special needs had lower mean scores than typically developing children, in all five developmental domains. Children considered by the teacher as needing assessment also had lower scores, which were not significantly different from those of children with special needs. Speech, emotional or behavioural difficulties were the most commonly reported problems among children needing further assessment. There was also a social gradient among this group. CONCLUSIONS: A small but significant number of children have not had their needs adequately assessed. Teacher observation is an effective means of identifying children with a level of impairment which prevents them from fully participating in their educational environment and could be integrated into a multi-disciplinary approach to meeting the needs of all children

The Early Development Instrument: an evaluation of its five domains using Rasch analysis

Background: Early childhood development is a multifaceted construct encompassing physical, social, emotional and intellectual competencies. The Early Development Instrument (EDI) is a population-level measure of five domains of early childhood development on which extensive psychometric testing has been conducted using traditional methods. This study builds on previous psychometric analysis by providing the first large-scale Rasch analysis of the EDI. The aim of the study was to perform a definitive analysis of the psychometric properties of the EDI domains within the Rasch paradigm. Methods: Data from a large EDI study conducted in a major Irish urban centre were used for the analysis. The unidimensional Rasch model was used to examine whether the EDI scales met the measurement requirement of invariance, allowing responses to be summated across items. Differential item functioning for gender was also analysed. Results: Data were available for 1344 children. All scales apart from the Physical Health and Well-Being scale reliably discriminated between children of different levels of ability. However, all the scales also had some misfitting items and problems with measuring higher levels of ability. Differential item functioning for gender was particularly evident in the emotional maturity scale with almost one-third of items (9 out of 30) on this scale biased in favour of girls. Conclusion: The study points to a number of areas where the EDI could be improved