Movement Without Boundaries

Johnson Simon is an artist based in West Palm Beach, Florida. Johnson always wanted to become a dancer. Born with cerebral palsy, physical limitations make it difficult for Johnson to coordinate his body movements. Determined not to let his disability keep him from pursuing his dreams, Johnson decided to study body movement and motion to learn more about what his body could not do. For Johnson, painting is all about self-discovery. Through use of vibrant colors and bold strokes, Johnson’s expressionist paintings evoke movement and motion. Occupational therapy helped Johnson discover his artistic abilities. The occupation of painting has empowered him to move without boundaries.https://scholarworks.wmich.edu/ojot_occupationandartist/1019/thumbnail.jp

One Day Ahead Prediction of Wind Speed Class by Statistical Models

This paper deals with the clustering of daily wind speed time series based on two features, namely the daily average wind speed and the corresponding degree of fluctuation. Daily values of the feature pairs are first classified by means of the fuzzy c-means unsupervised clustering algorithm and then results are used to train a supervised MLP neural network classifier. It is shown that associating to a true wind speed time series a time series of classes allows performing some useful statistics. Further, the problem of predicting the class of daily wind speed 1-step ahead is addressed by using both the Hidden Markov Models (HMM) and the Non-linear Auto-Regressive (NAR) approaches. The performances of the considered class prediction models are finally assessed in terms of True Positive rate (TPR) and True Negative rate (TNR), also in comparison with the persistent model

Creating a New Normal Through Engagement in Meaningful Occupation

Katie Edick, an occupational therapist and artist based in Portland, Michigan, provided the cover art for the Winter 2021 edition of The Open Journal of Occupational Therapy (OJOT). “Katie Bird” is a 4” x 6” watercolor painting. After receiving a diagnosis of metastatic breast cancer (MBC), Katie set out to find a new purpose and leave a legacy. She made the decision to live with intention and choose life experiences that create joy. Through engagement in meaningful occupations, such as painting and patient advocacy, Katie is creating a new normal

Ikebana: An Ancient Tradition of Contemporary Healing and Artful Practice

Dr. Ricardo Carrásco, PhD, OTR/L, FAOTA, is an occupational therapy professor and ikebana artist. He provided the cover art for the Summer 2021 edition of The Open Journal of Occupational Therapy (OJOT). Ikebana is the ancient Japanese art of arranging flowers. “Kanta of the Wind, Sun and Moon” is an ikebana design made from blue and white Phalaenopsis orchids, chrysanthemum, bear grass, and heirloom driftwood. This gendaika, or freestyle design, is a haiku tribute to the wind, sun, and moon. Dr. Carrásco has been practicing occupational therapy and ikebana for more than 5 decades. As an occupational scientist and therapist, he has experience working in pediatric, academic, research, mental health, and wellness practice settings. Dr. Carrásco currently serves as headmaster of the Banmi Shofu Ryu school of ikebana. His story is shared from a sense of duty and obligation to preserve this ancient tradition of contemporary healing and artful practice

Adult Day Service Providers: Untapped Potential for Care Coordination

Adult Day Services (ADS) have become increasingly available for community-dwelling older adults who are often experiencing multiple chronic conditions and/or dementia. ADS providers spend a significant amount of time with their clients and offer the opportunity for a wealth of clinical information that can be used by primary care providers and specialists for decision-making about patient care. There are also opportunities for hospitals to coordinate care transitions with ADS providers by involving them with discharge planning with appropriate patients who require post-hospital care. However, ADS providers are often viewed as social service providers, and there is little known about the role they can and do play as part of clinical care coordination teams. This paper reviews the current state of practice, policy, and research on ADS providers and evaluates the benefits and challenges to increasing their involvement in the health care of older adults

Modelling lava flows by Cellular Nonlinear Networks (CNN): preliminary results

International audienceThe forecasting of lava flow paths is a complex problem in which temperature, rheology and flux-rate all vary with space and time. The problem is more difficult to solve when lava runs down a real topography, considering that the relations between characteristic parameters of flow are typically nonlinear. An alternative approach to this problem that does not use standard differential equation methods is Cellular Nonlinear Networks (CNNs). The CNN paradigm is a natural and flexible framework for describing locally interconnected, simple, dynamic systems that have a lattice-like structure. They consist of arrays of essentially simple, nonlinearly coupled dynamic circuits containing linear and non-linear elements able to process large amounts of information in real time. Two different approaches have been implemented in simulating some lava flows. Firstly, a typical technique of the CNNs to analyze spatio-temporal phenomena (as Autowaves) in 2-D and in 3-D has been utilized. Secondly, the CNNs have been used as solvers of partial differential equations of the Navier-Stokes treatment of Newtonian flow

Instantaneous cell migration velocity may be ill-defined

Cell crawling is critical to biological development, homeostasis and disease. In many cases, cell trajectories are quasi-random-walk. In vitro assays on flat surfaces often described such quasi-random-walk cell trajectories as approximations to a solution of a Langevin process. However, experiments show quasi-diffusive behavior at small timescales, indicating that instantaneous velocity and velocity autocorrelations are not well-defined. We propose to characterize mean-squared cell displacement using a modified F\"urth equation with three temporal and spatial regimes: short- and long-time/range diffusion and intermediate time/range ballistic motion. This analysis collapses mean-squared displacements of previously published experimental data onto a single-parameter family of curves, allowing direct comparison between movement in different cell types, and between experiments and numerical simulations. Our method also show that robust cell-motility quantification requires an experiment with a maximum interval between images of a few percent of the cell-motion persistence time or less, and a duration of a few orders-of-magnitude longer than the cell-motion persistence time or more.Comment: 5 pages, plus Supplemental materia