2,704 research outputs found

    The convergent validity of two sensory processing scales used with school - age children : comparing the sensory profile and the sensory processing measure

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    Abstract: Aim: To investigate the convergent validity between the Sensory Profile, the Sensory Profile School Companion, and the Home and Main Classroom Forms of the Sensory Processing Measure. Method: Thirty mothers completed the Sensory Profile and the Sensory Processing Measure - Home Form on one child each. Nineteen teachers of the same children completed the Sensory Profile School Companion and the Sensory Processing Measure - Main Classroom Form. Results: The Sensory Profile and the Sensory Processing Measure - Home Form were significantly correlated (rho=0.86, p less-than .01). The Sensory Profile School Companion and Sensory Processing Measure - Main Classroom Form were also significantly correlated (rho=.74, p less-than .01). Conclusion: The two sets of sensory processing scales had moderate levels of convergent validity.<br /

    Using Ecological and Water Resources Planning Tools to Achieve Sustainable Development Outcomes

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    2008 S.C. Water Resources Conference - Addressing Water Challenges Facing the State and Regio

    That Rag

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    A woman, wearing a sweater and long ripped skirt, standing, while looking displeasedhttps://scholarsjunction.msstate.edu/cht-sheet-music/14045/thumbnail.jp

    Twenty-first Century Literacy and Technology in K-8 Classrooms

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    The development of a test of letter and number reversal tendency for primary school children

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    Development of a standardised instrument to assess visual perceptual skills or primary age school children using letters and numbershttps://ro.ecu.edu.au/ecuposters/1004/thumbnail.jp

    Dataflow-Oriented Provenance System for Multifusion Wireless Sensor Networks

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    We present a dataflow-oriented provenance system for data fusion sensor networks. This model works best with net- works sensing dynamic objects and although our system is generic, we model it on a proximity binary sensor network. We introduce a network-level fault-tolerance mechanism by using the cognitive strength of provenance models. Our provenance model reduce the limitations of a sensor’s capability and decrease the error-prone nature of wireless sen- sor networks. In addition provenance data is used in order to efficiently build the dynamic data fusion scenario and to adjust the network such as turning of some sensors. In a fault-tolerant, self-adjusting sensor network, sensor data produce more accurate results and with the improvements, tasks such as target localization is more precisely done. One other aspect of our network is that by having computation nodes spread to the network, the computation is done in a distributed manner and as nodes make decisions based on the provenance and fusion data available, the network has a distributed intelligence. Keywords: Multifusion, Wireless Sensor Networks, Open Provenance Mode

    An examination of the structural validity of the Physical Self-Description Questionnaire-Short Form (PSDQ–S) using the Rasch Measurement Model

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    It is important for self-report scales and measures used by educators and health care professionals (such as the Physical Self-Description Questionnaire-Short Form [PSDQ–S]) to have documented reliability and validity. The aim of this study is to investigate the structural validity of the full PSDQ–S composite scale and 11 subscales using the Rasch Measurement Model. 117 healthy children (65 males and 52 females; M = 10 years, 2 months, SD = 1 year, 4 months) completed the PSDQ–S. The PSDQ–S’s rating scale functioning, dimensionality, hierarchical ordering, differential item functioning (DIF), and item and person separation reliability were examined. Results supported the scale functioning, dimensionality, hierarchical ordering, DIF, and reliability of the PSDQ–S composite scale and each of its 11 subscales. Therefore, the PSDQ–S composite scale and 11 subscales can be used with confidence to assess children’s self-reported physical self-concept.publishedVersio

    A Survey of Provenance Leveraged Trust in Wireless Sensor Networks

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    A wireless sensor network is a collection of self-organized sensor nodes. WSNs have many challenges such as lack of a centralized network administration, absence of infrastructure, low data transmission capacity, low bandwidth, mobility, lack of connectivity, limited power supply and dynamic network topology. Due to this vulnerable nature, WSNs need a trust architecture to keep the quality of the network data high for a longer time. In this work, we aim to survey the proposed trust architectures for WSNs. Provenance can play a key role in assessing trust in these architectures. However not many research have leveraged provenance for trust in WSNs. We also aim to point out this gap in the field and encourage researchers to invest in this topic. To our knowledge our work is unique and provenance leveraged trust work in WSNs has not been surveyed before. Keywords:Provenance, Trust, Wireless Sensor Networks  

    Evaluation of Masculinization Treatments to Produce Feminized Hemp Seed (Cannabis sativa L.)

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    Cannabis sativa L. (hemp) develops plants with either male or female flowers, and growers of hemp greatly prefer female flowers which bear the glandular trichomes that contain cannabinoids. Feminized (all female) seeds are highly desired, which are produced by crossing a female plant with a masculinized female plant. Masculinization is achieved through the inhibition of ethylene and/or addition of gibberellins before flower initiation in female plants. The hemp industry uses silver thiosulfate (STS) to masculinize hemp, but spraying silver poses environmental concerns. This study compared STS to three other ethylene-inhibiting agents: aminoethoxyvinylglycine (AVG), cobalt nitrate (CBN), and 1-methylcyclopropene (1-MCP). Treatments of STS and CBN also included gibberellic acid as a synergist. Plants treated with STS exhibited superior masculinization and pollen dispersal compared to plants treated with AVG, CBN or 1-MCP. Only plants treated with STS or AVG produced pollen in sufficient quantities for collection. This pollen was assayed for germination potential initially and after storage for up to five weeks at 22.2, 7.2, or 1.1°C. Pollen from plants treated with AVG remained viable for four weeks at 1.1°C, whereas STS-treated plants produced pollen that was viable for three weeks at 1.1°C. Due to phytotoxicity problems with AVG, STS remains the best treatment to masculinize female hemp plants when breeding for feminized seeds. In a separate study, flower tissues of hemp had considerably higher total cannabinoid concentrations compared to leaf tissues but significantly lower ratios of cannabidivarin (CBDV) to cannabidiol (CBD). To reduce variability, at least 1 g samples of fresh leaf or flower tissue should be extracted with 10 mL of methanol. Rapid throughput testing of cannabinoids as part of a breeding program should use flower tissue, preferably at the time typical of harvest
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