The author argues that both Maine & Holmes were overly influenced by others, which prevented both of their works from being as significant as they could have been.

This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding (t-SNE) and ISOMAP, in order to facilitate the identification of network attacks by human experts. This work research begins with the creation of a testing environment with IoT devices and web clients, simulating attacks over Message Queuing Telemetry Transport (MQTT) for recording all relevant traffic information. The unsupervised algorithms chosen provide a set (...) of projections that enable human experts to visually identify most attacks in real-time, making it a powerful tool that can be implemented in IoT environments easily. (shrink)

The primary purpose of the current research was to examine the psychometric properties of the Time Flow Mindfulness Questionnaire, a new self-report scale designed to measure cognitive, emotional, bodily, context-related, and action-related distracting inputs experienced by the mind during three different time windows of mindfulness practice. The 42-item scale assesses the following second-order and first-order factors: Practice, Benefits and Benefits at work. Three studies were conducted. The first study assessed the factor structure and internal consistency on a sample of 141 (...) mindfulness practitioners. Using a two-wave lagged design on a different sample of 46 trainees attending mindfulness based stress reduction courses, the second study examined concurrent validity by performing correlations between the TFMQ and Five Facets Mindfulness Questionnaire. The third study examined criterion validity by testing a structural equation model wherein mindfulness practice predicts job burnout, both directly and indirectly through mindfulness benefits at work. All studies relied on anonymous surveys. Our findings suggest that the TFMQ: has a factor structure consistent with the hypothesized conceptual dimensions; has good concurrent validity as demonstrated by significant correlations with the FFMQ dimensions; and consists of mindfulness dimensions that predict job burnout in organizations. The TFMQ is a valid and reliable mindfulness measure that may help practitioners gain awareness of different types of inputs that potentially distract the mind and mindfulness beneficial consequences, and organizations implement mindfulness in work-settings. (shrink)