The influence of non-cancer-related risk factors on the development of cancer-related lymphedema: a rapid review.

Extensive research supports an evidence-base for cancer treatment-related risk factors, including extent of lymph node dissection and use of radiotherapy, as contributing to secondary lymphedema. Additionally, comorbidities, such as higher body mass index, and vascular-related conditions are identified to further augment risk. While social determinants of health (SDOH) and socioeconomic factors are widely regarded as influencing an individual's healthcare outcomes, including cancer risk and survival, these factors have not been explored as risk factors for developing secondary lymphedema.

Prepandemic Feasibility of Tele-Exercise as an Alternative Delivery Mode for an Evidence-Based, Tai Ji Quan Fall-Prevention Intervention for Older Adults.

There is a critical need for fall-prevention interventions to reach medically underserved, hard-to-reach, rural older adults. The evidence-based Tai Ji Quan: Moving for Better Balance (TJQMBB) program reduces falls in older adults. This pre-COVID-19 pandemic study assessed the feasibility and impact of a 16-week tele-TJQMBB intervention in older adults.

Community college students' perspectives on online learning during COVID-19 and factors related to success.

This study's purpose was to research trends in community college students' perceptions of online learning during the COVID-19 pandemic and discover factors related their success, applying this knowledge to nursing education. Community college students (N = 156) participated in the 34-question survey that asked questions related to perception of online learning, instructor involvement and characteristics of success. Thirty-seven percent of the sampling self-reported that they were nursing or allied health majors (N = 51).

Investigation of Fractal Carbon Nanotube Networks for Biophilic Neural Sensing Applications.

We propose a carbon-nanotube-based neural sensor designed to exploit the electrical sensitivity of an inhomogeneous fractal network of conducting channels. This network forms the active layer of a multi-electrode field effect transistor that in future applications will be gated by the electrical potential associated with neuronal signals. Using a combination of simulated and fabricated networks, we show that thin films of randomly-arranged carbon nanotubes (CNTs) self-assemble into a network featuring statistical fractal characteristics.

Data on liquid gated CNT network FETs on flexible substrates.

This article presents the raw and analyzed data from a set of experiments performed to study the role of junctions on the electrostatic gating of carbon nanotube (CNT) network field effect transistor (FET) aptasensors. It consists of the raw data used for the calculation of junction and bundle densities and describes the calculation of metallic content of the bundles. In addition, the data set consists of the electrical measurement data in a liquid gated environment for 119 different devices with four different CNT densities and summarizes their electrical properties.