Publications by authors named "C Diehl"

This study describes the process of designing and developing the user interface of a digital solution aiming to promote physical and cognitive training (DanceMove) and testing for its usability by community-dwelling older adults. This study is subdivided into four phases: (i) concept and ideation, (ii) design and development of the prototype, (iii) testing of the functional mock-ups, and (iv) testing of the prototype in the laboratory and in the real context of use. Through the different phases of the study technological and healthcare professionals and users were involved.

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Research suggests that nursing facility structural characteristics are important contributors toward residents' quality of care. We use 2021 data from 220 Maryland nursing facilities to examine associations between two different quality-of-care metrics: family satisfaction and Care Compare five-star quality ratings. We used descriptive statistics to explore differences in quality metrics across facility ownership (for-profit vs.

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B cell immunity carries the inherent risk of deviating into autoimmunity and malignancy, which are both strongly associated with genetic variants or alterations that increase immune signaling. Here, we investigated the interplay of autoimmunity and lymphoma risk factors centered around the archetypal negative immune regulator TNFAIP3/A20 in mice. Counterintuitively, B cells with moderately elevated sensitivity to stimulation caused fatal autoimmune pathology, while those with high sensitivity did not.

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Recent advances in tissue engineering have been remarkable, yet the precise control of cellular behavior in 2D and 3D cultures remains challenging. One approach to address this limitation is to genomically engineer optogenetic control of cellular processes into tissues using gene switches that can operate with only a few genomic copies. Here, we implement blue and red light-responsive gene switches to engineer genomically stable two- and three-dimensional mammalian tissue models.

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metabolic systems allow the reconstitution of natural and new-to-nature pathways outside of their cellular context and are of increasing interest in bottom-up synthetic biology, cell-free manufacturing, and metabolic engineering. Yet, the analysis of the activity of such networks is very often restricted by time- and cost-intensive methods. To overcome these limitations, we sought to develop an transcription (IVT)-based biosensing workflow that is compatible with the complex conditions of metabolism, such as the crotonyl-CoA/ethylmalonyl-CoA/hydroxybutyryl-CoA (CETCH) cycle, a 27-component metabolic system that converts CO into glycolate.

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