A central limit theorem for the sample autocorrelations of a L\'evy driven continuous time moving average process

In this article we consider L\'evy driven continuous time moving average processes observed on a lattice, which are stationary time series. We show asymptotic normality of the sample mean, the sample autocovariances and the sample autocorrelations. A comparison with the classical setting of discrete moving average time series shows that in the last case a correction term should be added to the classical Bartlett formula that yields the asymptotic variance. An application to the asymptotic normality of the estimator of the Hurst exponent of fractional L\'evy processes is also deduced from these results

A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

Recollective awareness meditation : a self-care process for meditating therapists

Research substantiates the common phenomenon of therapist burnout, which poses serious challenges to mental health clinicians. Effective practices of self-care are necessary to ensure therapist well-being and allow professionals to provide their clients with the highest quality of care. This qualitative study examines how Recollective Awareness Meditation (RAM) functions as a self-care process for meditating therapists. RAM is unique in its receptive and unstructured style, and its focus on the importance of recollection after meditation. This investigation is based on the perspectives of twelve therapists, who discussed their personal experiences with RAM. Ellen Baker\u27s (2002) framework of selfcare (as consisting of self-awareness, self-regulation, and balance) was used to guide interviews and organize findings. This study\u27s major findings show RAM offered therapists in the study a powerful process of self-care with many significant benefits. Central findings reported by therapists included: increased self-awareness (including various positive effects on therapy practice and increased awareness of burnout symptoms); increased self-regulation; increased balance; reduced self-criticism and judgment, increased self-compassion and validation; increased connection to values, increased gratitude; and a heightened awareness of conditionality. Findings also speak to how RAM compares to and interacts with other forms of self-care, and the limitations of RAM. RAM encourages a meditator to know and tolerate one\u27s inner world; this study suggests it is highly protective for therapists, whose jobs entail effectively working with others\u27 pain, thoughts, and emotions

Coordination of Care by Primary Care Practices: Strategies, Lessons and Implications

Documents successful strategies for coordinating care within primary care settings, including family and caregivers; with specialists; with hospital settings; and with community-based services. Discusses challenges, lessons learned, and implications

Change detection in children with autism: an auditory event-related fMRI study

Autism involves impairments in communication and social interaction, as well as high levels of repetitive, stereotypic and ritualistic behaviours, and extreme resistance to change. This latter dimension, whilst required for a diagnosis, has received less research attention. We hypothesise that this extreme resistance to change in autism is rooted in atypical processing of unexpected stimuli. We tested this using auditory event-related fMRI to determine regional brain activity associated with passive detection of infrequently occurring frequency-deviant and complex novel sounds in a no-task condition. Participants were twelve 10 to 15-year-old children with autism, and a group of 12 age- and sex-matched healthy controls