10 research outputs found
Recommended from our members
JNDS, Volume 36, Number 1
Results of a study to test knowledge and attitudes among licensed U.S. counselors regarding near-death experiences (NDEs) through surveys administered before and after the counselors completed an online course
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JNDS, Volume 34, Number 1
Partial abstract: In this article, we present a case study of an adult male who experienced both gravity induced loss of consciousness (G-LOC) as a Korean War aviation cadet, including narrowing of his visual field to a point of light and also two subsequent transpersonal experiences -- a near-death experience (NDE) and an after-death communication (ADC) -- that both included a tunnel-and-light feature. His Near-Death Experience Scale scores for each experience and his comparison of the qualia of these experiences provide unique evidence in the debate about the nature and likely origins of such experiences. These data place more weight on the argument that the tunnel and light in transpersonal experiences cannot reasonably be attributed to loss of oxygen in the brain
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JNDS, Volume 31, Number 4
Abstract: Previously in this Journal, Holden and Christian (2005) profiled patterns in the field of near-death studies through an analysis of the scholarly publications from Near-Death Experiences: Index to the Periodical Literature through 2001. In this article, we provide an updated analysis of a similar type through 2011. The body of literature on which we based this analysis included 892 scholarly articles by 629 authors spanning more than a century. We report on patterns related to publication dates and venues, experts and their most cited articles, and most and least published topics in the field - both with regard to current status and in comparison to 2001. We discuss limitations of our analysis and implications of it for the future of scholarship in the field of near-death studies
From modeling to implementation of virtual sensors in body sensor networks
Body Sensor Networks (BSNs) represent an emerging technology which has received much attention recently due to its enormous potential to enable remote, real-time, continuous and non-invasive monitoring of people in health-care, entertainment, fitness, sport, social interaction. Signal processing for BSNs usually comprises of multiple levels of data abstraction, from raw sensor data to data calculated from processing steps such as feature extraction and classification. This paper presents a multi-layer task model based on the concept of Virtual Sensors to improve architecture modularity and design reusability. Virtual Sensors are abstractions of components of BSN systems that include sensor sampling and processing tasks and provide data upon external requests. The Virtual Sensor model implementation relies on SPINE2, an open source domain-specific framework that is designed to support distributed sensing operations and signal processing for wireless sensor networks and enables code reusability, efficiency, and application interoperability. The proposed model is applied in the context of gait analysis through wearable sensors. A gait analysis system is developed according to a SPINE2-based Virtual Sensor architecture and experimentally evaluated. Obtained results confirm that great effectiveness can be achieved in designing and implementing BSN applications through the Virtual Sensor approach while maintaining high efficiency and accuracy