1,361 research outputs found

    Nucleic acid analysis by sandwich hybridization

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    Personal effectiveness training for unemployed people: where to now?

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    Unemployment remains a major social problem in Australia. Successive governments have attempted to address the problem, in part, by funding occupational skills based training programs for the unemployed. This paper reviews the general area of occupational skills/personal effectiveness training for unemployed people, and reports on outcomes for individuals attending 'typical' courses in Australia. Also reported, are outcomes for unemployed people who attended specially devised training, based on the cognitive behavioural (e.g., Beck, 1976) and learned optimism (Seligman, 1990) intervention approaches, that was aimed at improving well-being, confidence and coping abilities. Variables assessed include individual well-being (e.g., psychological distress), confidence (e.g., self-efficacy), attitude-to-work (e.g., work-commitment); training climate; and labour market outcomes such as return-to-work. More positive outcomes were identified for unemployed people attending the specially devised programs. The authors argue that training targeted at unemployed people must be based on sound theoretical principles to produce measurable long-term benefits. Future applications of personal development programs are discussed in relation to occupational skills based training and as stand-alone programs

    Detecting Irregular Patterns in IoT Streaming Data for Fall Detection

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    Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and irregular patterns has become an important machine learning problem to enable predictive analytics for automated notification and decision support. In this work, we address the problem of learning an irregular human activity pattern, fall, from streaming IoT data from wearable sensors. We present a deep neural network model for detecting fall based on accelerometer data giving 98.75 percent accuracy using an online physical activity monitoring dataset called "MobiAct", which was published by Vavoulas et al. The initial model was developed using IBM Watson studio and then later transferred and deployed on IBM Cloud with the streaming analytics service supported by IBM Streams for monitoring real-time IoT data. We also present the systems architecture of the real-time fall detection framework that we intend to use with mbientlabs wearable health monitoring sensors for real time patient monitoring at retirement homes or rehabilitation clinics.Comment: 7 page

    The minima of indefinite binary quadratic forms

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    AbstractThe study of the minima of indefinite binary quadratic forms has a long history and the classical results concerning the determination of such minima are stated in terms of the continued fraction expansion of the roots. These results are recast in geometric terms. Using this, and well-known geometric properties of the modular group, some necessary and sufficient conditions for a certain class of quadratic forms to have positive unattained minima are obtained

    Self-management of musculoskeletal hand pain and hand problems in community-dwelling adults aged 50 years and older: results from a cross-sectional study in a UK population

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    BACKGROUND: Musculoskeletal pain is common in adults, with the hand being frequently affected. Healthcare services have the potential to be of benefit to adults with hand pain and problems, through promotion and facilitation of self-management. METHODS: This paper explores existing self-management in a UK population of community-dwelling adults aged 50 years and over using data from surveys and a nested clinical cohort study. Self-management of hand problems was considered in three ways: self-directed treatment approaches used, adaptation behaviours adopted and choice to consult with a healthcare professional. RESULTS: The treatment approaches most commonly used were 'exercise/movement' (n = 151, 69 %) and 'resting' the hands (n = 139, 69 %). The use of adaptation behaviour was widespread: 217 (99 %) people reported using one or more adaptation behaviours. Under half of survey respondents who reported hand pain (n = 783, 43 %) had consulted a healthcare professional about their problem during the last year: the lowest rate of consultation was for occupational therapy (n = 60, 3 %). CONCLUSIONS: Self-directed treatment and adaptation behaviours were widespread in adults aged 50 years and over with hand problems, but consultation with a healthcare professional was low

    An Examination of the Growth of Internet Self Help Sites for Depression and Related Problems

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    The aim of this research study is to evaluate the availability and classification of the types of currently available Internet self-help for depression. Its aim is to develop an understanding of what is available for young people at risk of depression who would otherwise perhaps not seek help. In Australia, depression is the top-ranked cause of nonfatal disability. Over 27% of young adults have a current mental disorder, with depression being the most prevalent (10.8%). Though there are Internet-based self-help programs, evidence-based interactive programs developed specifically for young people, are not yet available. Recommendations are also made for further research

    The Effects of Mild Chemical Extractions on the Dimensional Stability of uf and pf Bonded Red Oak Flakeboard

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    Red oak (Quercus rubra L.) flakes were chemically extracted under mild conditions to determine the effects on red oak flakeboard properties, particularly dimensional stability. Flakes were extracted with weak acetic acid solutions or water under selected treatment pressures and treatment times. Weight loss values of extracted flakes ranged from 4 to 25%. Phenol formaldehyde (PF) and urea formaldehyde (UF) bonded flakeboards were manufactured using either red oak or chemically extracted red oak flakes. Physical and mechanical properties evaluated were modulus of elasticity, modulus of rupture, internal bond, water immersion related properties, and linear expansion. Static bending properties of flakeboards using extracted flakes for both resins, even at high levels of flake weight loss, were similar to boards from unextracted flakes. Internal bond average values for the extracted flakes were lower for the PF boards compared to the controls. Internal bond values for the UF boards were similar to the controls. Dimensional stability values for the PF boards were similar for the extracted and control boards. Dimensional stability tests on the UF boards produced the following results: (1) 2-hour dimensional stability values were improved for the extracted versus control boards; (2) 24-hour dimensional stability values for the extracted boards were similar to the control boards; and (3) linear expansion values for the extracted boards were similar to the control values
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