Emotive computing may have a role in telecare

This brief paper sets out arguments for the introduction of new technologies into telecare and lifestyle monitoring that can detect and monitor the emotive state of patients. The significantly increased use of computers by older people will enable the elements of emotive computing to be integrated with features such as keyboards and webcams, to provide additional information on emotional state. When this is combined with other data, there will be significant opportunities for system enhancement and the identification of changes in user status, and hence of need. The ubiquity of home computing makes the keyboard a very attractive, economic and non-intrusive means of data collection and analysis

A Futile Endeavor: Defining Scandalous in the Bankruptcy Code

(Excerpt) This Note addresses the various, sometimes contradictory, approaches courts have taken in interpreting what constitutes scandalous material under § 107(b)(2) of the Code. Part I traces the right of public access to documents and records in bankruptcy courts to its common-law and First Amendment origins and discusses why transparency is particularly important in the bankruptcy context. Part II addresses the split of authority among the circuit courts regarding the appropriate way to define scandalous, focusing on the United States Court of Appeals for the First Circuit’s “truthfulness and relevance” approach, the Eighth Circuit’s “context-sensitive” approach, and the Ninth Circuit’s “plain-meaning” approach. Part III explores the pros and cons of these approaches and formulates a new rule to resolve this interpretive split. This rule fuses the context-sensitive and plain-meaning approaches to create a hybrid rule where courts first look at the purpose of a filed document before analyzing whether it is “disgraceful, offensive, shameful and the like.” Under this approach, commonly filed papers are less likely to be sealed under § 107(b)(2) while rare, strategic filings are more likely to be withheld from the public

Developing a systems and informatics based approach to lifestyle monitoring within eHealth:part I - technology and data management

Lifestyle monitoring forms a subset of telecare in which data derived from sensors located in the home is used to identify variations in behaviour which are indicative of a change in care needs. Key to this is the performance of the sensors themselves and the way in which the information from multiple sources is integrated within the decision making process. The paper therefore considers the functions of the key sensors currently deployed and places their operation within the context of a proposed multi-level system structure which takes due cognisance of the requisite informatics framework

eHealth and the Internet of Things

To respond to an ageing population, eHealth strategies offer significant opportunities in achieving a balanced and sustainable healthcare infrastructure. Advances in technology both at the sensor and device levels and in respect of information technology have opened up other possibilities and options. Of significance among these is what is increasingly referred to as the Internet of Things, the interconnection of physical devices to an information infrastructure. The paper therefore sets out to position the Internet of Things at the core of future developments in eHealt

Linking recorded data with emotive and adaptive computing in an eHealth environment

Telecare, and particularly lifestyle monitoring, currently relies on the ability to detect and respond to changes in individual behaviour using data derived from sensors around the home. This means that a significant aspect of behaviour, that of an individuals emotional state, is not accounted for in reaching a conclusion as to the form of response required. The linked concepts of emotive and adaptive computing offer an opportunity to include information about emotional state and the paper considers how current developments in this area have the potential to be integrated within telecare and other areas of eHealth. In doing so, it looks at the development of and current state of the art of both emotive and adaptive computing, including its conceptual background, and places them into an overall eHealth context for application and development

FilTar: Using RNA-Seq data to improve microRNA target prediction accuracy in animals

MOTIVATION: MicroRNA (miRNA) target prediction algorithms do not generally consider biological context and therefore generic target prediction based on seed binding can lead to a high level of false-positive predictions. Here, we present FilTar, a method that incorporates RNA-Seq data to make miRNA target prediction specific to a given cell type or tissue of interest. RESULTS: We demonstrate that FilTar can be used to: (i) provide sample specific 3'-UTR reannotation; extending or truncating default annotations based on RNA-Seq read evidence and (ii) filter putative miRNA target predictions by transcript expression level, thus removing putative interactions where the target transcript is not expressed in the tissue or cell line of interest. We test the method on a variety of miRNA transfection datasets and demonstrate increased accuracy versus generic miRNA target prediction methods. AVAILABILITY AND IMPLEMENTATION: FilTar is freely available and can be downloaded from https://github.com/TBradley27/FilTar. The tool is implemented using the Python and R programming languages, and is supported on GNU/Linux operating systems. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online

Workforce development and effective evaluation of projects

Date of Acceptance: 01/05/2014The success of a project or programme is typically determined in relation to outputs. However, there is a commitment among UK public services to spending public funds efficiently and on activities that provide the greatest benefit to society. Skills for Health recognised the need for a tool to manage the complex process of evaluating project benefits. An integrated evaluation framework was developed to help practitioners identify, describe, measure and evaluate the benefits of workforce development projects. Practitioners tested the framework on projects within three NHS trusts and provided valuable feedback to support its development. The prospective approach taken to identify benefits and collect baseline data to support evaluation was positively received and the clarity and completeness of the framework, as well as the relevance of the questions, were commended. Users reported that the framework was difficult to complete; an online version could be developed, which might help to improve usability. Effective implementation of this approach will depend on the quality and usability of the framework, the willingness of organisations to implement it, and the presence or establishment of an effective change management culture.Peer reviewedFinal Accepted Versio

Molecular diversity of arbuscular mycorrhizal fungi colonising Hyacinthoides non-scripta (bluebell) in a seminatural woodland

Arbuscular mycorrhizal (AM) fungi form symbiotic associations with plant roots. Around 150 species have been described and it is becoming clear that many of these species have different functional properties. The species diversity of AM fungi actively growing in roots is therefore an important component of ecosystem diversity. However, it is difficult to identify AM fungi below the genus level from morphology in planta, as they possess few informative characters. We present here a molecular method for identifying infrageneric sequence types that estimate the taxonomic diversity of AM fungi present in actively growing roots. Bluebell roots were sampled from beneath two different canopy types, oak and sycamore, and DNA sequences were amplified from roots by the polymerase chain reaction with fungal-specific primers for part of the small subunit ribosomal RNA gene. Restriction fragment length polymorphism among 141 clones was assessed and 62 clones were sequenced. When aligned, discrete sequence groups emerged that cluster into the three families of AM fungi: Acaulosporaceae, Gigasporaceae and Glomaceae. The sequence variation is consistent with rRNA secondary structure. The same sequence types were found at both sampling times. Frequencies of Scutellospora increased in December, and Acaulospora increased in abundance in July. Sites with a sycamore canopy show a reduced abundance of Acaulospora, and those with oak showed a reduced abundance of Glomus. These distribution patterns are consistent with previous morphological studies carried out in this woodland. The molecular method provides an alternative method of estimating the distribution and abundance of AM fungi, and has the potential to provide greater resolution at the infrageneric level