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Andrew C Smith - One of the best experts on this subject based on the ideXlab platform.

  • ambulatory function in motor incomplete spinal cord injury a magnetic resonance imaging study of spinal cord edema and lower extremity muscle morphometry
    Spinal Cord, 2017
    Co-Authors: Andrew C Smith, Kenneth A Weber, Todd B Parrish, T G Hornby, Vicki M Tysseling, Jacob G Mcpherson, Michael R Wasielewski, James M Elliott
    Abstract:

    This research utilized a cross-sectional design. Spinal cord edema length has been measured with T2-weighted sagittal MRI to predict motor recovery following spinal cord injury. The purpose of our study was to establish the correlational value of axial spinal cord edema using T2-weighted MRI. We hypothesized a direct relationship between the size of damage on axial MRI and walking ability, motor function and distal muscle changes seen in motor incomplete spinal cord injury (iSCI). University-based laboratory in Chicago, IL, USA. Fourteen Participants with iSCI took part in the study. Spinal cord axial damage ratios were assessed using axial T2-weighted MRI. Walking ability was investigated using the 6-min walk test and daily stride counts. Maximum plantarflexion torque was quantified using isometric dynomometry. Muscle fat infiltration (MFI) and relative muscle cross-sectional area (rmCSA) were quantified using fat/water separation magnetic resonance imaging. Damage ratios were negatively correlated with distance walked in 6 min, average daily strides and maximum plantarflexion torque, and a negative linear trend was found between damage ratios and lower leg rmCSA. While damage ratios were not significantly correlated with MFI, we found significantly higher MFI in the wheelchair User Participant group compared to community walkers. Damage ratios may be useful in prognosis of motor recovery in spinal cord injury. The results warrant a large multi-site research study to investigate the value of high-resolution axial T2-weighted imaging to predict walking recovery following motor incomplete spinal cord injury.

James M Elliott - One of the best experts on this subject based on the ideXlab platform.

  • ambulatory function in motor incomplete spinal cord injury a magnetic resonance imaging study of spinal cord edema and lower extremity muscle morphometry
    Spinal Cord, 2017
    Co-Authors: Andrew C Smith, Kenneth A Weber, Todd B Parrish, T G Hornby, Vicki M Tysseling, Jacob G Mcpherson, Michael R Wasielewski, James M Elliott
    Abstract:

    This research utilized a cross-sectional design. Spinal cord edema length has been measured with T2-weighted sagittal MRI to predict motor recovery following spinal cord injury. The purpose of our study was to establish the correlational value of axial spinal cord edema using T2-weighted MRI. We hypothesized a direct relationship between the size of damage on axial MRI and walking ability, motor function and distal muscle changes seen in motor incomplete spinal cord injury (iSCI). University-based laboratory in Chicago, IL, USA. Fourteen Participants with iSCI took part in the study. Spinal cord axial damage ratios were assessed using axial T2-weighted MRI. Walking ability was investigated using the 6-min walk test and daily stride counts. Maximum plantarflexion torque was quantified using isometric dynomometry. Muscle fat infiltration (MFI) and relative muscle cross-sectional area (rmCSA) were quantified using fat/water separation magnetic resonance imaging. Damage ratios were negatively correlated with distance walked in 6 min, average daily strides and maximum plantarflexion torque, and a negative linear trend was found between damage ratios and lower leg rmCSA. While damage ratios were not significantly correlated with MFI, we found significantly higher MFI in the wheelchair User Participant group compared to community walkers. Damage ratios may be useful in prognosis of motor recovery in spinal cord injury. The results warrant a large multi-site research study to investigate the value of high-resolution axial T2-weighted imaging to predict walking recovery following motor incomplete spinal cord injury.

Jacqueline Smithautard - One of the best experts on this subject based on the ideXlab platform.

Derek Perkins - One of the best experts on this subject based on the ideXlab platform.

  • Narrative child sexual exploitation material (NCSEM): NCSEM functions and offence pathways model
    2017
    Co-Authors: Kogilavani Kunasegaran, Emily Glorney, Hannah Lena Merdian, Derek Perkins
    Abstract:

    Research on Child Sexual Exploitation Material has explored visual forms but little attention has been paid to understanding narrative forms, Narrative Child Sexual Exploitation Material (NCSEM). This research provides a thematic representation of the functions of NCSEM and its role in the offence pathway. A secondary analysis was conducted on 11 NCSEM and CSEM User Participant transcripts. Two superordinate themes were derived: ‘Emergence of NCSEM use: Motivations and Functions’ and ‘NCSEM Safe or Abusive?’. Twelve NCSEM functions were recorded. Three NCSEM offence pathways were theorized: (1) NCSEM use escalating to visual CSEM use, (2) NCSEM use and sexual fantasies influencing offence escalation to contact sexual offending, and (3) reading NCSEM escalating to the writing and sharing of NCSEM. Findings reveal important implications for assessment and treatment of NCSEM Users. In order to complement and advance the understanding of NCSEM functions, a second sample comprising 26 Users of legal pornography were recruited from the general population to complete an online survey exploring the functions of legal narrative pornography. Content analysis derived three superordinate themes: ‘Freedom for Sexual Exploration, ‘Emotional Sex’ and ‘Fundamental Human Motive’. Future research is warranted to validate and extend the framework of NCSEM offence pathways.

Daqing Zhang - One of the best experts on this subject based on the ideXlab platform.

  • From participatory sensing to Mobile Crowd Sensing
    2014 IEEE International Conference on Pervasive Computing and Communication Workshops PERCOM WORKSHOPS 2014, 2014
    Co-Authors: Bin Guo, Zhiwen Yu, Xingshe Zhou, Daqing Zhang
    Abstract:

    The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two User-Participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.