e-cienciaDatos
Not a member yet
1765 research outputs found
Sort by
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Bolivia
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Bolivi
Circos glaciares de la Península Ibérica (excepto Pirineos)
No full textDescripción del proyecto
Análisis morfométrico de los circos glaciares de la Península Ibérica.Descripción del dataset
Dos shapefiles: uno con la superficie de cada circo y otro con el punto más bajo del mismo (plan closure).
En total hay 1505 circos glaciares cartografiados.Metolodogía
Mapeo de los circos en Google Earth mediante interpretación directa y uso de referencias bibliográficas.
Transformación de formato .klm a .shp.
Mapeo del shapefile "plan closure" en ArcGIS usando el circo glaciar cartografiado y un ráster de tipo hillshade de fondo.
Análisis morfométrico realizado con la herramienta ACME (Spagnolo et al. 2017) a partir de los polígonos de circos glaciares, los puntos de "plan closure" y un Modelo Digital de Elevaciones de la Península Ibérica proveniente del programa ALOS PALSAR.</p
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Seychelles
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Seychelle
Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.
No full textIn recent years, the potential participation of exosomes in this process has been suggested in prostate cancer progression. We aim to study the effect of exosomes isolated from the serum of patients with PCa on various cellular processes associated with increased tumor aggressiveness in two PCa cell lines: LNCaP-FGC and PC3. The presence of exosomes was confirmed by immunodetection of specific markers and their size distribution was analyzed by Dynamic Light Scattering (DLS). The results obtained demonstrated that serum exosomes from PCa patients increased migration of PC3 cells and neuroendocrine differentiation of LNCaP-FGC cells regardless of the grade of the tumor. PCa serum exosomes also enhanced the secretion of enzymes related to invasiveness and resistance to chemotherapeutics, such as extracellular matrix metalloproteases 2 and 9, and gamma-glutamyltransferase in both cell lines. These findings support the pivotal participation of exosomes released by tumoral cells in the progression of PCa.
Western blotting (WB); Zimography; Transmission electron microscopy (TEM) </p
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Haiti
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Hait
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Syria
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Syri
The Educational Impact of a Comprehensive Serious Game within the University Setting
No full textThe dataset includes survey responses, academic performance records, and engagement metrics collected from 575 university students enrolled in a spreadsheet course. Data is categorized into control and experimental groups, with further division into subgroups based on the type of serious game used. The dataset is designed to provide comprehensive insights into how serious games affect student outcomes in an educational setting
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Ireland
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Irelan
Art-GenEvalGPT
No full text
Description of the project
ASTOUND is an EIC funded project (No. 101071191) under the HORIZON-EIC-2021-PATHFINDERCHALLENGES-01 call.
The aim of the project is to develop an artificial conscious AI based on the Attention Schema Theory (AST) proposed by Michel Graziano. This theory proposes that consciousness arises from the brain's ability to create and maintain a simplified model of its own processing, particularly focusing attention on certain aspects of its internal and external environment.
The project entails creating an AI system capable of exhibiting consciousness-like behaviours by implementing principles from the AST. This involves constructing a model that simulates attentional processes, allowing the AI to prioritise and focus on relevant information while disregarding irrelevant stimuli.
The ASTOUND project will provide an Integrative Approach for Awareness Engineering to establish consciousness in machines, and targeting the following goals:
Develop an AI architecture for Artificial Consciousness based on the Attention Schema Theory (AST) through an internal model of the state of the attention.
Implement the proposed architecture into a contextually aware virtual agent and prove improved performance thanks to the Attention Schema; for instance, by providing coherent discussion, self-regulation, short-and-long term memory, personalisation capabilities.
Define novel ways to measure the presence and level of consciousness in both humans and machines.
Description of the dataset
The dataset includes synthetic dialogues in the art domain that can be used for training a chatbot to discuss artworks within a museum setting. Leveraging Large Language Models (LLMs), particularly ChatGPT, the dataset comprises over 13,000 dialogues generated using prompt-engineering techniques. The dialogues cover a wide range of user and chatbot behaviours, including expert guidance, tutoring, and handling toxic user interactions.
The ArtEmis dataset serves as a basis, containing emotion attributions and explanations for artworks sourced from the WikiArt website. From this dataset, 800 artworks were selected based on consensus among human annotators regarding elicited emotions, ensuring balanced representation across different emotions. However, an imbalance in art styles distribution was noted due to the emphasis on emotional balance.
Each dialogue is uniquely identified using a "DIALOGUE_ID", encoding information about the artwork discussed, emotions, chatbot behaviour, and more. The dataset is structured into multiple files for efficient navigation and analysis, including metadata, prompts, dialogues, and metrics.
Objective evaluation of the generated dialogues was conducted, focusing on profile discrimination, anthropic behaviour detection, and toxicity evaluation. Various syntactic and semantic-based metrics are employed to assess dialogue quality, along with sentiment and subjectivity analysis. Tools like the MS Azure Content Moderator API, Detoxify library and LlamaGuard aid in toxicity evaluation.
The dataset's conclusion highlights the need for further work to handle biases, enhance toxicity detection, and incorporate multimodal information and contextual awareness. Future efforts will focus on expanding the dataset with additional tasks and improving chatbot capabilities for diverse scenarios.</p
Absell-Federico-Tena World Trade Historical Database 1948-2020 : United Arab Emirates
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: United Arab Emirate