University of La Laguna Showcase

This dataset was collected to investigate the hypothesis that individuals with borderline personality disorder (BPD) traits exhibit implicit emotional biases and heightened neural reactivity to negative stimuli compared to healthy controls. The data demonstrates that participants with BPD traits responded faster to negative words in an Implicit Association Test (IAT) and showed distinct neural activity patterns in Event-Related Potentials (ERPs), particularly in the P2, N400, and Late Positive Potential (LPP) components. The dataset includes behavioral measures (reaction times and accuracy) from the IAT, as well as electrophysiological recordings obtained via EEG. Participants were classified into two groups (BPD-vulnerable and healthy controls) based on clinical assessments including the SCID-II, BSL-23, and self-reported history of self-harm. EEG data were collected using a 32-electrode cap and processed to extract ERP amplitudes for congruent and incongruent trials with both positive and negative emotional valence words. The findings can be interpreted to suggest that individuals with BPD traits have an implicit negativity bias and altered cognitive-emotional processing mechanisms. This dataset can be used to explore the relationship between implicit biases, emotional processing, and neural activity, offering potential applications for further research in psychopathology and cognitive neuroscience.

MultilingualTweetEval2024 The MultilingualTweetEval2024 dataset consists of two subsets: 1.General Purpose: Includes anonymized tweets in multiple languages (Chinese, English, Spanish, French, and German) containing only the text. 2.English Labeled: Contains English tweets that have been auto-labeled using a custom model for hate speech detection. Both datasets are fully anonymized and designed to facilitate research in multilingual tweet analysis and hate speech detection in Twitter content.

There are currently numerous interactions between anthropogenic activities and wildlife. These activities have caused a decline in sea turtle populations in recent decades. Spanish waters, both on the mainland and on the islands, are staging grounds for these animals, which spend part of their life cycle there, mainly for Caretta caretta. However, it is in these same waters where they are threatened due to various causes of stranding. This study attempts to gain an in-depth understanding of the different phases of the rehabilitation process of these animals at the WRC "La Tahonilla" in Tenerife, Canary Islands. It also aims to learn about the development of this process in the different rehabilitation centres aimed at recovering sea turtles on the mainland and the Canary Islands. We have also studied in depth the process of dealing with a stranded sea turtle in the Canary Islands, which do not have their own recovery centre. The results of this study have revealed the existence of different protocols for action between centres and islands. The improvement and unification of these protocols is of vital importance to improve the rehabilitation of sea turtles in Spain.

Bases de datos modelo explicativo riesgo de suicidio

The dataset provides a summary of the experimental results obtained from an HCAI system implemented using a RAG framework and the Llama 3.0 model. A total of 125 hyperparameter configurations were defined by aggregating metrics based on the median of the results from 91 questions and their corresponding answers. These configurations represent the alternatives evaluated through Multi-Criteria Decision-Making (MCDM) methods.

Genpop file obtained using 2b-RADseq which comprises a total of 14,881 loci for 74 individuals of the black sea urchin Arbacia lixula. The individuals were collected along a natural CO2 gradient from the island of La Palma in the Canary Archipelago, Spain.

The data reflect the results of the experimentation with an HCAI system implemented using a RAG framework and the Llama 3.0 model. During the experimentation, 91 questions were utilized in the domain of legal advice and migrant rights. Metrics assessed included contextual enrichment, textual quality, discourse analysis, and sentiment evaluation. This allows for the analysis of sentiments and emotions, bias detection, content and toxicity classification, as well as an analysis of inclusion and diversity.

Theme_Identifiability_Ad_hoc_Spanish.xls consists of five sheets. The first sheet, "Theme identifiability", contains the raw data. For each participant, it presents the 70 critical words along with their respective lists of 10 ad hoc associates. The first column shows the participant number, the second column identifies the list, the third column specifies the type of relationship of the lists (ad hoc), and the fourth column indicates the type of word (studied vs. critical). The fifth column contains the words themselves, while the sixth column provides the English translations of the critical and studied words. Adjacent columns include all responses provided by participants in the first, second, and third positions, as well as the confidence judgements related to the first response. Additionally, intrusions are noted—i.e., words from a study list that a participant mistakenly identified as the theme of that list, and therefore are not considered valid responses. The second sheet, “First word”, contains the total count of responses given in the first position for each list. It includes all the words that participants generated as the theme in the first position, associated with their respective critical word and list number. Additionally, it provides the English translation of the critical word, the total number of participants who responded to each list, the number of participants who identified a word as the theme, the percentage of participants who did so, and the mean confidence judgement for each first word. Intrusions are also noted, including the quantity and the incorrectly identified word. The third and fourth sheets, “Second word” and “Third word”, respectively, are dedicated to the count of responses given in the second and third positions. The layout is identical to the previous sheets, except that the column for the mean confidence judgement is not included. The fifth sheet, "Summary," presents the final summary, showing the most frequently identified theme for the first, second, and third positions for each list.

Dataset of Computer Aided Drug Design (CADD) and Molecular Dynamics (MD) operations for the article, titled "NEW DYNAMIC SCORING METHOD FOR DEEP EVALUATION OF NALOXEGOL AS Β-TUBULIN BINDING INHIBITOR"

Raw results from cell and animal experiments