VoIP for Telerehabilitation: A Pilot Usability Study for HIPAA Compliance

Consumer-based, free Voice and video over the Internet Protocol (VoIP) software systems such as Skype and others are used by health care providers to deliver telerehabilitation and other health-related services to clients. Privacy and security applications as well as HIPAA compliance within these protocols have been questioned by practitioners, health information managers, and other healthcare entities. This pilot usability study examined whether four respondents who used the top three, free consumer-based, VoIP software systems perceived these VoIP technologies to be private, secure, and HIPAA compliant;  most did not.  While the pilot study limitations include the number of respondents and systems assessed, the protocol can be applied to future research and replicated for instructional purposes.  Recommendations are provided for VoIP companies, providers, and users.

Weak Transversality and Partially Invariant Solutions

New exact solutions are obtained for several nonlinear physical equations, namely the Navier-Stokes and Euler systems, an isentropic compressible fluid system and a vector nonlinear Schroedinger equation. The solution methods make use of the symmetry group of the system in situations when the standard Lie method of symmetry reduction is not applicable.Comment: 23 pages, preprint CRM-284

Using Quantum Chemical Features in a Neural Network to Improve Aqueous Solubility Prediction

Aqueous solubility is a vital molecular property in numerous fields, such as drug discovery and material design. Accurate prediction of molecular aqueous solubility can reduce the number of potential candidates prior to experimental analysis. Shrinking the chemical search space can result in streamlining the selection process, saving valuable time and resources. Recent developments have increased interests in utilizing machine learning techniques to computationally predict aqueous solubility rather than experimentation. One such technique is the Molecular Attention Transformer (MAT). Transformers are a special case of graph neural networks (GNN). GNNs utilize inputs in the form of graphs that have data stored as nodes and edges, which can be thought of as atoms and bonds, respectively. An important aspect of building a GNN is determining which features to use as descriptors for the nodes and edges. This paper investigates the effects of including quantum chemical data as node features in a GNN model. The hypothesis was that by including this quantum data, the model will be able to better discriminate between compounds of high similarity and more accurately predict their aqueous solubility. However, there was no significant improvement in model performance when the quantum data was included in the model. The accuracy of the quantum data was analyzed to determine if the performance did not improve due to the data or the model. It was determined that the solvation models being used to compute the quantum data were unable to produce data at a level of accuracy to enable the model to benefit from the inclusion of the quantum features. Furthermore, a recently published model pretrained on quantum data was compared to the base model being used to determine if including quantum features improves performance. The quantum model outperformed the base model, further showing that including quantum features should improve model performance but requires quality quantum data

CAMS comps 2012: Before and After Asphalt [essay], The Incredible Owlbear [video]

My essay, Before and After Asphalt, is a formal analysis of Joe May\u27s 1929 German silent film Asphalt, and how it relates to the German Expressionism movement that came before it and the Film Noir movement that followed. In my video, The Incredible Owlbear, a sullen high school kid discovers that an irritating, grumpy, old man he knows is actually a retired superhero. He attempts to convince the old man to come out of retirement and train him to be a new superhero but is met with hard resistance

VoIP for Telerehabilitation: A Pilot Usability Study for HIPAA Compliance

Abstr act Consumer-based, free Voice and video over the Internet Protocol (VoIP) software systems such as Skype and others are used by health care providers to deliver telerehabilitation and other health-related services to clients. Privacy and security applications as well as HIPAA compliance within these protocols have been questioned by practitioners, health information managers, and other healthcare entities. This pilot usability study examined whether four respondents who used the top three, free consumer-based, VoIP software systems perceived these VoIP technologies to be private, secure, and HIPAA compliant; most did not. While the pilot study limitations include the number of respondents and systems assessed, the protocol can be applied to future research and replicated for instructional purposes. Recommendations are provided for VoIP companies, providers, and clients/consumers

Can’t stop, won’t stop – Continuing the journey to full inclusivity in freshwater science with the Emerge Program

Presented at the Society for Freshwater Science Annual Meeting

Emerging towards a more diverse community of freshwater scientists, using the 4DEE framework

Presented at the Ecological Society of America Virtual Annual Meeting