An interdisciplinary consortium organized a group to explore the meaning and the future of nursing in South Dakota using scenario planning. This column provides a general description of the four scenarios that emerged, some observations about how they might evolve, comments on their implications, and first-person stories, as told by fictitious residents. The process of scenario planning is connected to nursing science by explicating how five lessons of scenario planning are linked with Parse's human becoming concepts of creative imagining, glimpsing the paradoxical, and affirming personal becoming.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0894318402239063DOI Listing

Publication Analysis

Top Keywords

scenario planning
16
unfolding scenario
4
planning
4
planning nursing
4
nursing interdisciplinary
4
interdisciplinary consortium
4
consortium organized
4
organized group
4
group explore
4
explore meaning
4

Similar Publications

Reward cues have long been considered to enhance creative performance; however, little is known about whether rewards can affect creative problem solving by manipulating states of flexibility and persistence. This study sought to elucidate the differential impacts of real versus hypothetical rewards on the creative process utilizing the Chinese compound remote association task. Behavioral analysis revealed a significantly enhanced solution rate and response times in scenarios involving real rewards, in contrast to those observed with hypothetical rewards.

View Article and Find Full Text PDF

Integrating Ecological Suitability and Socioeconomic Feasibility at Landscape Scale to Restore Biodiversity and Ecosystem Services in Southern Chile.

Environ Manage

December 2024

Departamento de Ciencias de la Vida - UD Ecología, Edificio de Ciencias, Universidad de Alcalá, E-28805, Alcalá de Henares, Spain.

Deforestation and forest degradation are key drivers of biodiversity loss and global environmental change. Ecosystem restoration is recognized as a global priority to counter these processes. Forest restoration efforts have commonly adopted a predominantly ecological approach, without including broader socioeconomic variables and the characteristics of the rural context.

View Article and Find Full Text PDF

Since agriculture is a major source of greenhouse gas emissions, accurately calculating these emissions is essential for simultaneously addressing climate change and food security challenges. This paper explores the critical role of trade in transferring agricultural greenhouse gas (AGHG) emissions throughout global agricultural supply chains. We develop a detailed AGHG emission inventory with comprehensive coverage across a wide range of countries and emission sources at first.

View Article and Find Full Text PDF

This paper presents a ground motion prediction (GMP) model using an artificial neural network (ANN) for shallow earthquakes, aimed at improving earthquake hazard safety evaluation. The proposed model leverages essential input variables such as moment magnitude, fault type, epicentral distance, and soil type, with the output variable being peak ground acceleration (PGA) at 5% damping. To develop this model, 885 data pairs were obtained from the Pacific Engineering Research Center, providing a robust dataset for training and validation.

View Article and Find Full Text PDF

Heuristic-based vehicle arrangement for ro-ro ships.

Sci Rep

December 2024

Information Science and Engineering School, Northeastern University, Shenyang, 110819, Liaoning, China.

In this paper, a two-level search strategy fused with an improved no-fit polygon algorithm and improved bat algorithm is proposed to obtain the layout points of multiple vehicles. Additionally, a space-time scheduling strategy is proposed using the Improved D*Lite Algorithm (ID*Lite) and improved Bezier curve to generate the trajectories of individual vehicles. Furthermore, a conflict resolution strategy is introduced to address the collision conflict problem during multi-vehicle scheduling.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!