Developing a new business model for enabling research - the case of the ACPFG in Australia

Publisher's postprint archived as permitted by publisher.The way in which companies, research centres and educational institutions are organised and structured may provide a competitive advantage for commercialisation, in particular if companies are dependent on the deployment of complementary assets and capabilities by third parties. This paper presents the case of the Australian Centre for Plant Functional Genomics (ACPFG), a private agricultural biotechnology (agbiotech) company specialising in early stage Research and Development (R&D) to produce superior adapted cereal varieties, tolerant to abiotic stress conditions such as drought, frost, salt, or mineral toxicity, all of which have a direct and negative impact on plant growth and crop productivity. The organisational structure of the company has been influenced and shaped by Government policy, shareholders expectations and trends in the agbiotech industrial organisation. It has proved attractive to potential alliance partners for collaborative R&D and commercialisation. We present the ACPFG as a new business model to fund basic research and facilitate technology transfer.Stephanie C. Agius, David Corkindale, Antonio G. Dottore, Michael Gilber

Clinical interventions proposed by a pharmacist in the intensive care unit.

Patients admitted to the Intensive Care Unit (ICU) are at increased risk of adverse drug events due to underlying comorbidities, organ dysfunction and pharmacokinetic alterations in addition to being prescribed almost twice as many medications as patients in general hospital wards. The role of the pharmacist in this setting has developed considerably and includes working as a part of the multi-disciplinary team providing several clinical services. Locally, clinical pharmacy services were limited in ICU. Thus, the aim of this study was to assess the interventions of a pharmacist in ICU by quantifying and categorising drug-related problems (DRPs) identified by, and determining the frequency and type of clinical interventions suggested by a pharmacist introduced in ICU. The study was carried out over eight weeks in ICU of an acute general hospital in Malta, during which the pharmacist reviewed medication charts of patients admitted to ICU over the study period and identified DRPs. DRPs and suggested pharmaceutical interventions (PIs) were discussed with ICU clinicians or nurses depending on type of PI, and the outcome was recorded. All data was recorded in a previously validated, adapted, and piloted data collection tool. Data was classified into type of DRP and PI, therapeutic class, and outcome relating to acceptance and implementation of PIs. During the study period, medication charts of 124 ICU patients were reviewed. The pharmacist identified 161 DRPs in 54 patients and suggested a PI for each DRP. The most frequently identified DRP categories were 'administration related' (29%), 'supratherapeutic dosage' (20%) and 'drug monitoring' (18%). The most common categories of suggested PIs were 'dose adjustment' (34%) and 'administration optimisation' (29%). Antimicrobials (46%) and medications acting on the central nervous system (17%) were the therapeutic classes most frequently involved in DRPs. The ICU clinical team accepted and implemented 95% of PIs suggested by the pharmacist. This research demonstrated the value of introduction of a pharmacist within ICU. The high rate of accepted PIs concerning a wide range of DRPs demonstrate that advanced collaboration between a pharmacist and the ICU team is possible. The proposed clinical interventions by the pharmacist reflect the contribution of the pharmacist to the reduction of DRPs in critically ill patients, thus, optimising treatment for these patients

P 139 Serum dramatically enhances orientation and migration of cultured bovine corneal epithelial cells in an applied electric field (EF)

Digitalitzat per Artypla

A hybrid embedded cohesive element method for predicting matrix cracking in composites

The complex architecture of many fibre-reinforced composites makes the generation of finite element meshes a labour-intensive process. The embedded element method, which allows the matrix and fibre reinforcement to be meshed separately, offers a computationally efficient approach to reduce the time and cost of meshing. In this paper we present a new approach of introducing cohesive elements into the matrix domain to enable the prediction of matrix cracking using the embedded element method. To validate this approach, experiments were carried out using a modified Double Cantilever Beam with ply drops, with the results being compared with model predictions. Crack deflection was observed at the ply drop region, due to the differences in stiffness, strength and toughness at the bi-material interface. The new modelling technique yields accurate predictions of the failure process in composites, including fracture loads and crack deflection path

An MPEG-7 scheme for semantic content modelling and filtering of digital video

Abstract Part 5 of the MPEG-7 standard specifies Multimedia Description Schemes (MDS); that is, the format multimedia content models should conform to in order to ensure interoperability across multiple platforms and applications. However, the standard does not specify how the content or the associated model may be filtered. This paper proposes an MPEG-7 scheme which can be deployed for digital video content modelling and filtering. The proposed scheme, COSMOS-7, produces rich and multi-faceted semantic content models and supports a content-based filtering approach that only analyses content relating directly to the preferred content requirements of the user. We present details of the scheme, front-end systems used for content modelling and filtering and experiences with a number of users

The influence of prior training on GPs’ attitudes to sickness absence certification post-fit note.

AimTo investigate the attitudes to health and work of general practitioners (GPs) with training in occupational medicine (OM) compared with non-OM trained GPs, since the introduction of the fit note.BackgroundChanges to the UK sickness certification system since 2010 and the introduction of the fit note required GPs to change their focus to what patients can do, rather than what they cannot do in relation to work. In an effort to reduce the UK sickness absence burden, GPs completion of the fit note should help to keep people in work, or assist patients to return to work as quickly as possible after a period of absence.MethodsQuestionnaire data were collected via the 7th National General Practitioner Worklife Survey.FindingsResults indicate that responses from GPs who had undertaken training in OM, and GPs having received some form of work and health training in the 12-month period before the study were associated with significantly more positive attitudes to patients’ returning to work and to the fit note. This study reveals evidence of a difference between trained and non-trained GPs in their attitude to the fit note, and to work and health generally. Further work investigating the effect of specific training in OM on the management and recognition of ill-health by GPs is recommended.</jats:sec

Optimized methods to measure acetoacetate, 3-hydroxybutyrate, glycerol, alanine, pyruvate, lactate and glucose in human blood using a centrifugal analyser with a fluorimetric attachment

Optimized methods are described for the analysis of glucose, lactate, pyruvate, alanine, glycerol, D-3-hydroxybutyrate and acetoacetate in perchloric acid extracts of human blood using the Cobas Bio centrifugal analyser. Glucose and lactate are measured using the photometric mode and other metabolites using the fluorimetric mode. The intra-assay coefficients of variation ranged from 0.7 to 4.1%, except with very low levels of pyruvate and acetoacetate where the coefficients of variation were 7.1 and 12% respectively. All seven metabolites can be measured in a perchloric acid extract of 20 μl of blood. The methods have been optimized with regard to variation in the perchloric acid content of the samples. These variations arise from the method of sample preparation used to minimize changes occurring in metabolite concentration after venepuncture

H-ATLAS/GAMA and HeViCS – dusty early-type galaxies in different environments

The Herschel Space Observatory has had a tremendous impact on the study of extragalactic dust. Specifically, early-type galaxies (ETG) have been the focus of several studies. In this paper, we combine results from two Herschel studies – a Virgo cluster study Herschel Virgo Cluster Survey (HeViCS) and a broader, low-redshift Herschel-Astrophysical Terahertz Large Area Survey (H-ATLAS)/Galaxy and Mass Assembly (GAMA) study – and contrast the dust and associated properties for similar mass galaxies. This comparison is motivated by differences in results exhibited between multiple Herschel studies of ETG. A comparison between consistent modified blackbody derived dust mass is carried out, revealing strong differences between the two samples in both dust mass and dust-to-stellar mass ratio. In particular, the HeViCS sample lacks massive ETG with as high a specific dust content as found in H-ATLAS. This is most likely connected with the difference in environment for the two samples. We calculate nearest neighbour environment densities in a consistent way, showing that H-ATLAS ETG occupy sparser regions of the local Universe, whereas HeViCS ETG occupy dense regions. This is also true for ETG that are not Herschel-detected but are in the Virgo and GAMA parent samples. Spectral energy distributions are fit to the panchromatic data. From these, we find that in H-ATLAS the specific star formation rate anticorrelates with stellar mass and reaches values as high as in our Galaxy. On the other hand HeViCS ETG appear to have little star formation. Based on the trends found here, H-ATLAS ETG are thought to have more extended star formation histories and a younger stellar population than HeViCS ETG

ELVIS: Entertainment-led video summaries

© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Multimedia Computing, Communications, and Applications, 6(3): Article no. 17 (2010) http://doi.acm.org/10.1145/1823746.1823751Video summaries present the user with a condensed and succinct representation of the content of a video stream. Usually this is achieved by attaching degrees of importance to low-level image, audio and text features. However, video content elicits strong and measurable physiological responses in the user, which are potentially rich indicators of what video content is memorable to or emotionally engaging for an individual user. This article proposes a technique that exploits such physiological responses to a given video stream by a given user to produce Entertainment-Led VIdeo Summaries (ELVIS). ELVIS is made up of five analysis phases which correspond to the analyses of five physiological response measures: electro-dermal response (EDR), heart rate (HR), blood volume pulse (BVP), respiration rate (RR), and respiration amplitude (RA). Through these analyses, the temporal locations of the most entertaining video subsegments, as they occur within the video stream as a whole, are automatically identified. The effectiveness of the ELVIS technique is verified through a statistical analysis of data collected during a set of user trials. Our results show that ELVIS is more consistent than RANDOM, EDR, HR, BVP, RR and RA selections in identifying the most entertaining video subsegments for content in the comedy, horror/comedy, and horror genres. Subjective user reports also reveal that ELVIS video summaries are comparatively easy to understand, enjoyable, and informative