Abstract
Storytelling is a powerful marketing tool that can be used to attract the audience's attention and influence behavior. However, this investigation seeks to understand more deeply the importance of written narratives in the marketing field. In this sense, the objective of this article is to explore similarities and identify patterns, phases or stages, variables, indicators, and respective relationships (models) to help marketers to create storytelling. In the analogy of the visual methodology analytical process, this literature review created a selection of the sample and developed content to structure storytelling within the marketing framework. Through the analysis of 78 papers published in the Web of Science main collection, this research finds out three clusters: marketing cluster, content cluster, and context cluster. Our results indicate that, in marketing, storytelling elicits brand identification, awareness, and customer engagement, as well as it helps with self-expression, a sense of belonging, and a perception of the value of the product or brand. We find some variables, indicators, and respective relationships (models) that can be used in storytelling in the marketing field to improve value awareness. This review also allowed us to identify factors related to the structuring of marketing storytelling. And we found three key elements of the story construct that are transversal: content, classification, and character. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
Extreme weather events, such as windstorms, hurricanes, and heat waves, exert a significant impact on global natural catastrophes and pose substantial challenges for weather forecasting systems. To enhance the accuracy and preparedness for extreme weather events, this study explores the potential of using expert crowdsourcing in storm forecasting research through the application of stigmergic collaboration. We present the development and implementation of an expert Crowdsourcing for Semantic Annotation of Atmospheric Phenomena (eCSAAP) system, designed to leverage the collective knowledge and experience of meteorological experts. Through a participatory co-creation process, we iteratively developed a web-based annotation tool capable of capturing multi-faceted insights from weather data and generating visualizations for expert crowdsourcing campaigns. In this context, this article investigates the intrinsic coordination among experts engaged in crowdsourcing tasks focused on the semantic annotation of extreme weather events. The study brings insights about the behavior of expert crowds by considering the cognitive biases and highlighting the impact of existing annotations on the quality of data gathered from the crowd and the collective knowledge generated. The insights regarding the crowdsourcing dynamics, particularly stigmergy, offer a promising starting point for utilizing stigmergic collaboration as an effective coordination mechanism for weather experts in crowdsourcing platforms but also in other domains requiring expertise-driven collective intelligence.

Abstract
Cardiovascular imaging studies provide a multitude of structural and functional data to better understand disease mechanisms. While pooling data across studies enables more powerful and broader applications, performing quantitative comparisons across datasets with varying acquisition or analysis methods is problematic due to inherent measurement biases specific to each protocol. We show how dynamic time warping and partial least squares regression can be applied to effectively map between left ventricular geometries derived from different imaging modalities and analysis protocols to account for such differences. To demonstrate this method, paired real-time 3D echocardiography (3DE) and cardiac magnetic resonance (CMR) sequences from 138 subjects were used to construct a mapping function between the two modalities to correct for biases in left ventricular clinical cardiac indices, as well as regional shape. Leave-one-out cross-validation revealed a significant reduction in mean bias, narrower limits of agreement, and higher intraclass correlation coefficients for all functional indices between CMR and 3DE geometries after spatiotemporal mapping. Meanwhile, average root mean squared errors between surface coordinates of 3DE and CMR geometries across the cardiac cycle decreased from 7 +/- 1 to 4 +/- 1 mm for the total study population. Our generalised method for mapping between time-varying cardiac geometries obtained using different acquisition and analysis protocols enables the pooling of data between modalities and the potential for smaller studies to leverage large population databases for quantitative comparisons.

Abstract
The recent release of ChatGPT-3 by OpenAI may have been a major disruptive mark in terms of Artificial Intelligence based tools. The testing and rapid user adoption rate of ChatGPT-3 was massive with a worldwide impact. Despite its recent public release ChatGPT-3 is already eliciting a mix of positive reactions revealing outstanding positive aspects as well as some negative ones. A short evaluation of ChatGPT-3 is presented, using the context of genetic algorithms, a topic lectured in introductory artificial intelligence courses. Examples outlining potential advantages of adopting ChatGPT and disadvantages which raise ethical issues and may limit its use are presented. © 2023 IEEE.

Abstract
This article comparedidentified models in the literature that incorporates sustainability in project management, with an integrated model used as reference, mapping their points of similarity. For this purpose, bibliographic research of 90 articles from the Web of Science and Scopus databases was carried out, which address the themes of sustainability and project management. The reference model was compared with 16 models identified during the literature search, through comparative analysis and grounded theory. As a result, the study presents the identified similarity between model & PRIME;s constructs. It is concluded that there is no pattern or convergence between the different models identified, that thereference model plays a role in stimulating the integration of sustainability with project management in a more comprehensive way.

Abstract