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.
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http://dx.doi.org/10.1177/0894318402239063 | DOI Listing |
Behav Brain Funct
December 2024
School of Psychology, Northeast Normal University, 5268 Renmin Street, Changchun, 130024, Jilin, China.
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 PDFEnviron 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 PDFSci Rep
December 2024
School of Economics and Management, China University of Geosciences, Beijing, 100083, People's Republic of China.
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 PDFSci Rep
December 2024
Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran.
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 PDFSci 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.
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