Type of Multimorbidity and Propensity to Seek Care among Elderly Medicare Beneficiaries

Greater propensity to seek care is critical for improving health of elderly individuals with multimorbidity. We used the Medicare Current Beneficiary Survey (2012) to assess propensity to seek care among community-dwelling elderly Medicare beneficiaries (\u3e 65 yrs.; N=11,270) having (1) no physical or mental illness; (2) single physical or mental condition; (3) multimorbidity with physical conditions only; and (4) multimorbidity with both physical and mental conditions. As compared to multimorbidity with physical conditions, elderly with no multimorbidity were less likely (Adjusted Odds Ratio [95% CI]: 0.50 [0.36, 0.68]) and elderly with both physical and mental conditions were more likely (1.57 [1.28, 1.93]) to have a health problem for which they should have seen a doctor but did not. Further, elderly having a usual source of care were less likely (0.53 [0.37, 0.75]) to have a health problem for which they should have seen a doctor but did not. Multimorbidity is negatively associated with propensity to seek care. The presence of both chronic mental and physical conditions worsened propensity to seek care among elderly individuals. Future efforts to increase the awareness of receiving timely care and improve the access to care can enhance propensity to seek care among elderly individuals with multimorbidity

A distributed multi-agent framework for shared resources scheduling

Nowadays, manufacturers have to share some of their resources with partners due to the competitive economic environment. The management of the availability periods of shared resources causes a problem because it is achieved by the scheduling systems which assume a local environment where all resources are on the same site. Therefore, distributed scheduling with shared resources is an important research topic in recent years. In this communication, we introduce the architecture and behavior of DSCEP framework (distributed, supervisor, customer, environment, and producer) under shared resources situation with disturbances. We are using a simple example of manufacturing system to illustrate the ability of DSCEP framework to solve the shared resources scheduling problem in complex systems

Microscopic Investigation of Vortex Breakdown in a Dividing T-Junction Flow

3D-printed microfluidic devices offer new ways to study fluid dynamics. We present the first clear visualization of vortex breakdown in a dividing T-junction flow. By individual control of the inflow and two outflows, we decouple the effects of swirl and rate of vorticity decay. We show that even slight outflow imbalances can greatly alter the structure of vortex breakdown, by creating a net pressure difference across the junction. Our results are summarized in a dimensionless phase diagram, which will guide the use of vortex breakdown in T-junctions to achieve specific flow manipulation.Comment: 5 pages, 5 figure

Open Access

Depression treatment and short-term healthcare expenditures among elderly Medicare beneficiaries with chronic physical condition

The role of extracellular matrix in planarian regeneration

Poster Presentation - Theme 3: Development & stem cellsAs an important niche component, the role of extracellular matrix (ECM) in stem cell biology is well recognized, however, its role in tissue regeneration is not well understood. Planarians are able to regenerate any missing parts of the organism and this feat is thought to be contributing by its large population of stem cells, which are distributed throughout the inner mesenchymal region. Here we use planarian as the model system to study the dynamic protein expression changes during tissue regeneration in order to gain insights into the role of ECM in ...postprin

Implementation of a Neuromorphic Development Platform with DANNA

Neuromorphic computing is the use of artificial neural networks to solve complex problems. The specialized computing field has been growing in interest during the past few years. Specialized hardware that function as neural networks can be utilized to solve specific problems unsuited for traditional computing architectures such as pattern classification and image recognition. However, these hardware platforms have neural network structures that are static, being limited to only perform a specific application, and cannot be used for other tasks. In this paper, the feasibility of a development platform utilizing a dynamic artificial neural network for researchers is discussed

A method for estimating the instantaneous frequency of non-stationary heart sound signals

Practical signals such as speech, biomedical measurement and communications turn out to be extremely non-stationary and nonlinear time series. Traditional FFT-based power spectral analysis fails to deal with these transient signals. To provide more efficient way for investigating non-stationary and nonlinear signals with high time-frequency resolution and extract more information regarding the transient frequency features involved in the signals, a novel method based on the instantaneous frequency distribution is developed in this paper to provide the time-frequency distribution of the practical signals. The aim of this contribution is to explore the role that both empirical mode decomposition and Hilbert transform can be used to play in such practical signals. Both simulation and experimental results were presented and analyzed to demonstrate the power and effectiveness of the proposed new time-frequency distribution.published_or_final_versio