Collaborative Rehabilitation Therapy: A Novel Telehealth Delivery and Learning System

Over the past three decades, the Institute for Cognitive Prosthetics (ICP) has studied and reported [1] [2] [3] [4] [5] a novel approach for treating patients with cognitive deficits following traumatic brain injury (TBI) and certain non-degenerative acquired brain injuries (ABI). A research and development enterprise, ICP’s mission is to advance clinical outcomes by patient use of technology and by providing therapists with new tools that expand their ability to produce clinical outcomes. ICP subsequently established Neuro-Hope as the provider of the professional services now referred to as Collaborative Rehabilitation Therapy (CoRT). CoRT is designed to support patients with a broad range of challenges as well as their families who experience relationship disruptions following sudden brain injury in a loved one. [1] Cole, E., Petti, L., Matthews, Jr., M. & Dehdashti, P. (1994). Rapid functional improvement and generalization in a young stroke patient following computer-based cognitive prosthetic intervention. Presentation at the 1994 NIH Neural Prosthesis Workshop, October 19-21. [2] Cole, E. (2013). Patient-centered design of cognitive assistive technology for traumatic brain injury telerehabilitation. Toronto: Morgan & Claypool. [3] Cole, E. & Starr, L. M. (2021). Collaboration therapy: telehealth principles and case studies. Thomas Jefferson University School of Continuing and Professional Studies Faculty Papers. Paper 9: https://jdc.jefferson.edu/jscpsfp/9. [4] Cole, E. (1999). Cognitive Prosthetics: An Overview to a Method of Treatment. NeuroRehabilitation, 12(1):39–51. https://DOI.org/10.3233/NRE-1999-12105. [5] Cole, E. (2021). Outcomes of a technology-enhanced, patient-centered cognitive rehabilitation therapy program delivered to the patient’s natural environment via telehealth 9 years post injury. Institute for Cognitive Prosthetics, Working Paper 2021-3

Effect of sulfate aerosol on tropospheric NOx and ozone budgets: Model simulations and TOPSE evidence

The distributions of NOx and O3 are analyzed during TOPSE (Tropospheric Ozone Production about the Spring Equinox). In this study these data are compared with the calculations of a global chemical/transport model (Model for OZone And Related chemical Tracers (MOZART)). Specifically, the effect that hydrolysis of N2O5 on sulfate aerosols has on tropospheric NOx and O3 budgets is studied. The results show that without this heterogeneous reaction, the model significantly overestimates NOx concentrations at high latitudes of the Northern Hemisphere (NH) in winter and spring in comparison to the observations during TOPSE; with this reaction, modeled NOx concentrations are close to the measured values. This comparison provides evidence that the hydrolysis of N2O5 on sulfate aerosol plays an important role in controlling the tropospheric NOx and O3 budgets. The calculated reduction of NOx attributed to this reaction is 80 to 90% in winter at high latitudes over North America. Because of the reduction of NOx, O3 concentrations are also decreased. The maximum O3reduction occurs in spring although the maximum NOx reduction occurs in winter when photochemical O3 production is relatively low. The uncertainties related to uptake coefficient and aerosol loading in the model is analyzed. The analysis indicates that the changes in NOxdue to these uncertainties are much smaller than the impact of hydrolysis of N2O5 on sulfate aerosol. The effect that hydrolysis of N2O5 on global NOx and O3 budgets are also assessed by the model. The results suggest that in the Northern Hemisphere, the average NOx budget decreases 50% due to this reaction in winter and 5% in summer. The average O3 budget is reduced by 8% in winter and 6% in summer. In the Southern Hemisphere (SH), the sulfate aerosol loading is significantly smaller than in the Northern Hemisphere. As a result, sulfate aerosol has little impact on NOx and O3 budgets of the Southern Hemisphere

Collaboration Therapy: Telehealth Principles and Case Studies

While conventional in-clinic Traumatic Brain Injury (TBI) rehabilitation serves the needs of the vast majority of patients many of whom go on to resume their lives a significant percentage of patients continue to have enduring cognitive disabilities despite long-term and skilled therapy. However, these patients can rapidly achieve gains which typically continue to increase toward substantial self-sufficiency when engaged in Collaboration Therapy (CT). CT is directed toward patient populations appropriate for a telehealth service who meet the following criteria: 1) patients have plateaued in conventional in-clinic therapy; 2) in-patients are too distant from an appropriate outpatient facility; and 3) individuals with TBI/ABI (acquired brain injury) are in unserved or underserved geographical areas. CT telehealth service is also valuable for High Achieving individuals – by occupational, avocational or educational achievement – who will often have difficulty with conventional rehabilitation. This paper describes CT, telehealth and presents seven case studies that provide context and detail to the CT model and outcomes

Unbiased Inclination Distributions for Objects in the Kuiper Belt

Using data from the Deep Ecliptic Survey (DES), we investigate the inclination distributions of objects in the Kuiper Belt. We present a derivation for observational bias removal and use this procedure to generate unbiased inclination distributions for Kuiper Belt objects (KBOs) of different DES dynamical classes, with respect to the Kuiper Belt Plane. Consistent with previous results, we find that the inclination distribution for all DES KBOs is well fit by the sum of two Gaussians, or a Gaussian plus a generalized Lorentzian, multiplied by sin i. Approximately 80% of KBOs are in the high-inclination grouping. We find that Classical object inclinations are well fit by sin i multiplied by the sum of two Gaussians, with roughly even distribution between Gaussians of widths 2.0 -0.5/+0.6 degrees and 8.1 -2.1/+2.6 degrees. Objects in different resonances exhibit different inclination distributions. The inclinations of Scattered objects are best matched by sin i multiplied by a single Gaussian that is centered at 19.1 -3.6/+3.9 degrees with a width of 6.9 -2.7/+4.1 degrees. Centaur inclinations peak just below 20 degrees, with one exceptionally high-inclination object near 80 degrees. The currently observed inclination distribution of the Centaurs is not dissimilar to that of the Scattered Extended KBOs and Jupiter-family comets, but is significantly different from the Classical and Resonant KBOs. While the sample sizes of some dynamical classes are still small, these results should begin to serve as a critical diagnostic for models of Solar System evolution.Comment: Accepted for publication in the Astronomical Journa

Efficient intra- and inter-night linking of asteroid detections using kd-trees

The Panoramic Survey Telescope And Rapid Response System (Pan-STARRS) under development at the University of Hawaii's Institute for Astronomy is creating the first fully automated end-to-end Moving Object Processing System (MOPS) in the world. It will be capable of identifying detections of moving objects in our solar system and linking those detections within and between nights, attributing those detections to known objects, calculating initial and differentially-corrected orbits for linked detections, precovering detections when they exist, and orbit identification. Here we describe new kd-tree and variable-tree algorithms that allow fast, efficient, scalable linking of intra and inter-night detections. Using a pseudo-realistic simulation of the Pan-STARRS survey strategy incorporating weather, astrometric accuracy and false detections we have achieved nearly 100% efficiency and accuracy for intra-night linking and nearly 100% efficiency for inter-night linking within a lunation. At realistic sky-plane densities for both real and false detections the intra-night linking of detections into `tracks' currently has an accuracy of 0.3%. Successful tests of the MOPS on real source detections from the Spacewatch asteroid survey indicate that the MOPS is capable of identifying asteroids in real data.Comment: Accepted to Icaru

Fit to Predict? Ecoinformatics for Predicting the Catchability of a Pelagic Fish in Near Real-Time

The ocean is a dynamic environment inhabited by a diverse array of highly migratory species, many of which are under direct exploitation in targeted fisheries. The timescales of variability in the marine realm coupled with the extreme mobility of ocean-wandering species such as tuna and billfish complicates fisheries management. Developing ecoinformatics solutions that allow for near real-time prediction of the distributions of highly mobile marine species is an important step towards the maturation of dynamic ocean management and ecological forecasting. Using 25 years (1990-2014) of NOAA fisheries\u27 observer data from the California drift gillnet fishery, we model relative probability of occurrence (presence-absence) and catchability (total catch) of broadbill swordfish Xiphias gladius in the California Current System (CCS). Using freely-available environmental datasets and open source software, we explore the physical drivers of regional swordfish distribution. Comparing models built upon remotely-sensed datasets with those built upon a data-assimilative configuration of the Regional Ocean Modelling System (ROMS), we explore trade-offs in model construction and address how physical data can affect predictive performance and operational capacity. Swordfish catchability was found to be highest in deeper waters (\u3e1500m) with surface temperatures in the 14-20 degrees C range, isothermal layer depth (ILD) of 20-40m, positive sea surface height anomalies and during the new moon