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Background With increasing survival rates, a growing population of patients with cancer have received or will receive adjuvant therapy to prevent cancer recurrences. Patients and caregivers will confront the complexities of balancing the preventative benefits of adjuvant therapy with possible near‐term or long‐term adverse events (AEs). Adjuvant treatment–related AEs (from minimal to severe) can impact therapeutic adherence, quality of life, emotional and physical health, and survival. However, to the authors' knowledge, limited information is available regarding how stakeholders use or desire to use adjuvant‐related AE information to inform the care of patients with cancer. Methods A qualitative, purposeful sampling approach was used to elicit stakeholder feedback via semistructured interviews (24 interviews). Drug development, drug regulatory, clinical, payer, and patient/patient advocacy stakeholders were questioned about the generation, dissemination, and use of adjuvant treatment–related AE information to inform the care of patients with cancer. Transcripts were coded independently by 2 senior health care researchers and reconciled to identify key themes. Results All stakeholder groups in the current study identified needed improvements in each of the following 4 areas: 1) improving the accessibility and relevance of AE‐related information; 2) better integrating and implementing available information regarding AEs for decisions; 3) connecting contemporary cultural and economic value systems to the generation and use of information regarding adjuvant treatment–related AEs; and 4) addressing a lack of alignment and ownership of stakeholder efforts to improve the use of AE information in the adjuvant setting. Conclusions Despite commonalities in the overall needs identified by the diverse stakeholders in the current study, broad systemic change has been stymied. The current study identified the lack of alignment and the absence of a central “owner” of these diffuse efforts as a previously unrecognized hurdle to realizing the desired systemic improvements. Future initiatives aimed at improving quality of life and outcomes for patients receiving adjuvant therapy through the improved use of AE information must address this challenge through innovative collectives and novel leadership strategies., Navigating complex risk‐benefit tradeoffs in the adjuvant treatment setting requires robust and accessible information regarding treatment‐related adverse events. The current multistakeholder qualitative study identifies systemic challenges in the generation and use of information regarding adjuvant treatment–related adverse events to improve patient outcomes and quality of life.

The recent surge in telemedicine during the COVID-19 pandemic has highlighted how imperative it is to understand: 1) how liver transplant (LT) recipients use smartphone technology, and 2) what they need in terms of remote support to assist with post-transplant recovery. Smartphone applications (i.e. apps) have been used in other chronic medical conditions to improve coordination of care, patient education, and medication adherence (1).

In this article, we seek to unpack and enrich the notion of the design concept. We do this through the use of Gilles Deleuze and Felix Guattari’s ‘concept’ in its philosophical specificity to critique less-effective uses of the design concept. In particular, we investigate the idea that a concept is actually an aggregation of many concepts that can be seen to have a virtual consistency as a way to reframing more limited, typical, design concepts – used as justification, explanation, clarification or excuse. Our interest here is to explore how concepts can become much more useful throughout the process of design by drawing linkages between the concept and the workings of the creative process itself. In other words, we see the concept, parsed philosophically, as fusing with design thinking; and by taking advantage of this coupling each strengthens the other. Ultimately, we claim that a richer view of language and a more performative processes of making (diagramming) drive this coupling; and when it is working, the design concept becomes a much more useful instrument for designing.

Many women do not get mammography screenings at the intervals recommended for early detection and treatment of breast cancer. The Guide to Community Preventive Services (Community Guide) recommends a range of evidence-based strategies to improve mammography rates. However, nurses and others working in community-based settings make only limited use of these strategies. We report on a dissemination intervention that partnered the University of North Carolina with the Susan G. Komen Triangle Affiliate to disseminate Community Guide breast cancer screening strategies to community organizations. The intervention was guided by social marketing and diffusion of innovation theory and was designed to provide evidence and support via Komen's existing relationships with grantee organizations. The present study reports the findings from a formative evaluation of the intervention, which included a content analysis of 46 grant applications pre- and post intervention and focus groups with 20 grant recipients.

Design thinking can be a powerful way to engage the world, allowing interactive understandings that are both analytic and experiential. When fully functioning, design thinking necessarily calls upon faculties often considered a-rational, a-causal and a-logical. Unfortunately, such faculties often give rise to academic suspicion. That is to say, the indeterminacies of design thinking often spawn unhelpful (and undermining) reductions. When this occurs, the fullness of design thinking gets channelled into a series of steps, rules of thumb or professional categories, thereby diluting its potency. In order to encourage a richer image of design thinking, particularly for the education of design students, this article explores ways to complement more familiar logical understandings of the design process with the functional complexity of Gilles Deleuze and Felix Guattari's ‘rhizome’. As a heuristic device, the rhizome and its related concepts are employed to provide a more complete picture of design thinking and to develop a practice that imbues design work with meaningful complexity. In this way, the rhizome promotes design thinking as a process comprised of both linear and non-linear aspects.

From the late Middle Ages onward an emphasis on the rational and the technical aspects of design and design drawing gained hold of architectural practice. In this transformation, the phenomenon of mood has been frequently overlooked or seen as something to be added on to a design; yet the fundamental grounding of mood, as described in Martin Heidegger's philosophy, is anything but secondary to our experience of the world. In fact, other facilities such as embodied experience, tactile and spatial awareness, and temporal perception all spring from the basic encounter with mood. In this article I describe how a lack of attunement to, and limited ability with, the various manifestations of mood perpetuates a disconnection between the architectural drawing and real buildings. I argue that as long as educational frameworks relegate the emotional and experiential to the place of a supplement, then our design processes will continue to unconsciously promote environments of thinness and superficiality.

Improving crop management inputs with remote sensing devices is an emerging technology. This study documented the progression of the normalized difference vegetative index (NDVI) during the life cycle of corn (Zea mays L.), evaluated the spatial variability of corn growth in terms of the CV (calculated from NDVI readings), and documented the relationships between NDVI,CV (calculated from NDVI), and grain and biomass yields and plant density. Four rows, 30 m in length, from two locations during 2 yr were randomly selected for this study. An optical sensor was used to collect NDVI readings at multiple growth stages during the life cycle of corn. The NDVI increased with progression of vegetative growth stages until V10, where a plateau was encountered, followed by a decline in NDVI after the VT growth stage. Coefficient of variation data from the NDVI readings revealed two dominant peaks during the life cycle of corn, one between the V6 and V8 growth stages and the second during the late reproductive growth stages. The CV data illustrated that the greatest variation expressed by corn during the vegetative growth stages was between the V6 and V8 growth stages. The highest correlation of NDVI with corn grain yield was found at the V7 to V9 growth stages; likewise, CV and plant density were also more highly correlated from V7 to V9. The CV from NDVI readings was highly correlated with grain and biomass yields at all growth stages.

Drastic increases in the cost of N fertilizer and increased public scrutiny have encouraged development and implementation of improved N management practices. This study evaluated the relationship between corn (Zea mays L.) grain yield and early season normalized difference vegetation index (NDVI) sensor readings using the GreenSeeker sensor. The relationships between grain yield and several predictor variables were determined using linear and nonlinear regression analysis. Categorizing NDVI measurement by leaf stage indicated that growth stagewas criticalfor predictinggrain yield potential. Poor exponential relationships existed between NDVI from early sensor measurements (V6–V7 leaf stage) and grain yield. By the V8 stage, a strong relationship (R 2 5 0.77) was achieved between NDVI and grain yield. Later sensor measurements (V9 and later) failed to distinguish variation in green biomass as a result of canopy closure. Normalizing the NDVI with GDD (growing degree days) did not significantly improve yield potential prediction (R 2 5 0.73), but broadened the yield potential prediction equation to include temperature and allowed for adaptation into various climates. Sensor measurements at the range of 800 to 1000 GDD resulted in a significant exponential relationship between grain yield and NDVI (R 2 5 0.76) similar to the V8 leaf stage categorization. Categorizing NDVI by GDD (800–1000 GDD) extended the sensing time by two additional leaf stages (V7–V9) to allow a practical window of opportunity for sidedress N applications. This study showed that yield potential in corn could be accurately predicted in season with NDVI measured with the GreenSeeker sensor.