This exploration with ChatGPT underscores two vital lessons for human rights law education. First, the importance of reflective and critical prompting techniques that challenge it to critique its responses. Second, the potential of customizing AI tools like ChatGPT, incorporating diverse scholarly perspectives to foster a more inclusive and comprehensive understanding of human rights. It also shows the promise of using collaborative approaches to build tools that help create pluriversal approaches to the study of human rights law.
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To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
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This research paper looks at a selection of science-fiction films and its connection with the progression of the use of television, telephone and print media. It also analyzes statistical data obtained from a questionnaire conducted by the research group regarding the use of communication media.
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![Does Science-Fiction predict [or change] the future?](https://publinova-harvester-content-prod.s3.amazonaws.com/thumbnails/files/previews/pdf/20250506145555255024.adbf7edd-9619-4d0e-9a17-e0e7096adc7f-thumbnail-400x300.png)
Hoofdstuk 2 gaat over peer en professionele online support voor ouders bij het opvoeden. In totaal bevat het boek 31 hoofdstukken over sociaal netwerken, geschreven door tientallen onderzoekers wereldwijd.
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INTRODUCTION: A stay in the intensive care unit (ICU), although potentially life-saving, may cause considerable discomfort to patients. However, retrospective assessment of discomfort is difficult because recollection of stressful events may be impaired by sedation and severe illness during the ICU stay. This study addresses the following questions. What is the incidence of discomfort reported by patients recently discharged from an ICU? What were the sources of discomfort reported? What was the degree of factual recollection during patients' stay in the ICU? Finally, was discomfort reported more often in patients with good factual recollection?METHODS: All ICU patients older than 18 years who had needed prolonged (>24 hour) admission with tracheal intubation and mechanical ventilation were consecutively included. Within three days after discharge from the ICU, a structured, in-person interview was conducted with each individual patient. All patients were asked to complete a questionnaire consisting of 14 questions specifically concerning the environment of the ICU they had stayed in. Furthermore, they were asked whether they remembered any discomfort during their stay; if they did then they were asked to specify which sources of discomfort they could recall. A reference group of surgical ward patients, matched by sex and age to the ICU group, was studied to validate the questionnaire.RESULTS: A total of 125 patients discharged from the ICU were included in this study. Data for 123 ICU patients and 48 surgical ward patients were analyzed. The prevalence of recollection of any type of discomfort in the ICU patients was 54% (n = 66). These 66 patients were asked to identify the sources of discomfort, and presence of an endotracheal tube, hallucinations and medical activities were identified as such sources. The median (min-max) score for factual recollection in the ICU patients was 15 (0-28). The median (min-max) score for factual recollection in the reference group was 25 (19-28). Analysis revealed that discomfort was positively related to factual recollection (odds ratio 1.1; P < 0.001), especially discomfort caused by the presence of an endotracheal tube, medical activities and noise. Hallucinations were reported more often with increasing age. Pain as a source of discomfort was predominantly reported by younger patients.CONCLUSION: Among postdischarge ICU patients, 54% recalled discomfort. However, memory was often impaired: the median factual recollection score of ICU patients was significantly lower than that of matched control patients. The presence of an endotracheal tube, hallucinations and medical activities were most frequently reported as sources of discomfort. Patients with a higher factual recollection score were at greater risk for remembering the stressful presence of an endotracheal tube, medical activities and noise. Younger patients were more likely to report pain as a source of discomfort.
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Het is een eer om met deze openbare lezing het ambt van hoogleraar Vaktherapie te aanvaarden. Temeer omdat dit de allereerste leerstoel Vaktherapie in Nederland is. Een bijzonder domein van behandelingen voor mensen met psychische aandoeningen en psychosociale klachten dat sinds jaren is ingebed in de geestelijke gezondheidszorg en in sectoren als de ouderenzorg, somatische zorg, basis- en voortgezet onderwijs. ‘Waarom nu pas?’ ‘Waarom is deze of een vergelijkbare, leerstoel niet eerder ingesteld, wetende dat deze behandelingen al jaren worden toegepast binnen de zorg en daarbuiten?’ Er zijn in Nederland veel vaktherapeuten, circa 5800. In vergelijking met de ongeveer 6700 psychotherapeuten in Nederland (Centraal Bureau voor de Statistiek, 2018), is het dus geen klein gebied. Er is ook de actieve Federatie Vaktherapeutische Beroepen, dit is de koepelorganisatie van de verenigingen van vaktherapeutische disciplines. Ik ga daar later nog iets over te zeggen en over de ontwikkelingen die er momenteel gaande zijn. In het buitenland zijn er wel leerstoelen op dit gebied. Dus waarom nu pas een leerstoel Vaktherapie?
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Humans use metaphors in thinking. Most metaphors are visual. In processing information stimuli the mind depends partly on visual codes. Information is processed and stored through two channels: one for non-verbal information and another for verbal information. The two different areas of information in the brain are interconnected. The information is stored in patterns that form an inner representation of how individuals perceive their reality and their self. The active processing of new information, remembering and the self-image are related phenomena, that influence each other, sometimes leading to biased interpretation or even reconstruction of contents in each of these areas. Imagination, expectations and anticipations of the future and memories are the more active manifestations of this process. In this process mimesis plays an important role. Mimesis is the imitation of reality in play, story-telling or creating images of how things should look like in the future. Through mimesis people can anticipate on roles in social life, or appropriate experiences from someone else and relate them to one’s own life story. When this happens the information is related to the self through processes of association and becomes ‘Erfahrung’.
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In the modern day and age, cybersecurity facesnumerous challenges. Computer systems and networks become more and more sophisticated and interconnected, and the attack surface constantly increases. In addition, cyber-attacks keep growing in complexity and scale. In order to address these challenges, security professionals started to employ generative AI (GenAI) to quickly respond to attacks. However, this introduces challenges in terms of how GenAI can be adapted to the security environment and where the legal and ethical responsibilities lie. The Universities of Twente and Groningen and the Hanze University of Applied Sciences have initiated an interdisciplinary research project to investigate the legal and technical aspects of these LLMs in the cybersecurity domain and develop an advanced AI-powered tool.
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“Early warning signs of aggression” refers to recurring changes in behaviors, thoughts, perceptions, and feelings of the patient that are considered to be precursors of aggressive behavior. The early recognition of these signs offers possibilities for early intervention and prevention of aggressive behaviors in forensic patients. The Forensic Early warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying and monitoring these early warning signs of aggression.
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