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Changes in atmospheric parameters, such as temperature, precipitation and relative humidity, as well as sea level rise, flooding and storm surge, can aggravate the chemical, biological and mechanical degradation of cultural heritage leading to loss of cultural value. Despite the growing body of research that examine the impacts of climate change on cultural heritage, mainly focused on producing climate change risk maps at the European scale, there is an absence of data, information and assessment methods available to incorporate climate change into preservation frameworks and management practices from government policy level down to the practice in the field. This study investigated the vulnerability and adaptation of cultural heritage sites in Europe. An indepth qualitative analysis of data collected through semi-structured interviews with academics, members of governmental institutions and managers of heritage sites experts in cultural heritage preservation was undertaken and complemented with the analysis of academic literature, management plans, policies and grey literature. The investigated peer-reviewed literature wassynthesized and depicted in diagrams that can help in the understanding of climate change impacts on cultural heritage. An integrated vulnerability assessment methodology was developed and tested in three European UNESCO World Heritage Sites (WHS) to help site managers and decision-makers to understand the vulnerabilities of cultural heritage to climate change impacts and to allow the incorporation ofclimate change risk assessment into the management of heritage sites. Furthermore, the perceptions of experts involved in the management and preservation of cultural heritage were investigated, specifically on their awareness and understanding of the impacts of climate change on heritage assets, on the adaptation of cultural heritage to climate change, and on the mitigation of climate change in the cultural heritage field, in Europe. This research highlights the lack of dissemination of the outcomes of scientific research to managers of cultural heritage in the context of vulnerability assessment and adaptation to climate change impacts. A better understanding of what needs to be provided and prioritized for adaptation to take place and in its strategic planning is derived from this analysis. Adapting cultural heritage to climate change can be possible only if strong actions both from research and government will be taken to overcome the barriers identified in this investigation. 

L’étude a testé l’hypothèse selon laquelle les carrières abandonnées améliorent la diversité floristique locale contrairement à la perception générale selon laquelle l’exploitation des carrières impact négativement la biodiversité. Pour y parvenir, un inventaire a été effectué dans 30 placettes carrées (30 m x 30 m) dont 16 installées dans la végétation des carrières abandonnées et 14 dans des formations naturelles adjacentes (sites de référence). Les indices de diversité (Richesse, Chao1, Chao2, Jack1, Jack2, Shannon et Équitabilité) ont été estimés et comparés entre les deux types d’écosystème. Les résultats montrent que la diversité floristique ne diffère pas significativement entre les deux écosystèmes. Toutefois, la richesse spécifique est plus importante au niveau des sites de référence (62 espèces de plantes) qu’au niveau des carrières (55 espèces de plantes). Une forte similarité floristique (50% à 90%) a été aussi relevée entre les deux écosystèmes. La flore des deux écosystèmes est majoritairement composée des Fabaceae (39,3 % à 40,8 %). On retient que les carrières abandonnées n’ont pas impacté la diversité floristique locale existante comme espéré. Ceci est probablement dû à l’absence de différentiation de niche après excavation qui mérite d’être investigué par des études futures.

This is a dataset with tweets from X. Each tweet mentions one or more UK MPs from a subset selected for our study to give a diverse representation of political leanings. Each tweet is labelled for hostility and the identity characteristic it targets (religion, race, gender). Each annotator also provides a confidence score for each label. Three annotators annotate each tweet. Annotators are UK-based students from Computer Science and Politics.

ATRAS journal is a peer-reviewed journal, published twice a year by the Faculty of Letters, Languages and Arts at Dr Moulay Tahar University, Saida-Algeria. A group of professors and researchers who have experience and knowledge in various disciplines review and evaluate the submitted papers.ATRAS promotes scientific studies in the field of foreign language teaching and learning approaches, methodologies, and methods in a variety of areas.

Die Präsentation „Mit ChatGPT Texte schreiben: Prompting-Methoden für Historiker:innen“ zielt darauf ab, den Teilnehmenden ein tiefes Verständnis über die Funktion und Anwendung von generativen KI-Textgeneratoren zu vermitteln. Zunächst werden Lernziele definiert, wie das Erlangen einer Intuition über die Funktionsweise generativer KI und das Verständnis ihrer Grenzen in der Textproduktion. Die Präsentation fokussiert auf populäre Textgeneratoren wie OpenAI ChatGPT, Google Gemini und Anthropic Claude. Zu den Grundlagen gehören Erklärungen darüber, wie ein Sprachmodell auf Benutzereingaben reagiert und Text generiert. Hier wird das Beispiel von GPT-3 herangezogen, um zu illustrieren, wie solche Modelle trainiert und ausgeführt werden. Es folgt ein Abschnitt über die Möglichkeiten der Interaktion mit Textgeneratoren, wobei auf die Bedeutung klarer und präziser Kommunikation hingewiesen wird. Ein wesentlicher Bestandteil der Präsentation ist die Einführung eines fiktiven Charakters namens Jason, der als metaphorische Repräsentation eines generativen KI-Modells dient. Jason symbolisiert die Stärken und Grenzen von KI-Modellen in der Texterstellung und Interaktion. Es werden konkrete Beispiele für das, was Jason kann und nicht kann, angeführt, wie das Schreiben kurzer Texte und das Unvermögen, zwischen Fiktion und Realität zu unterscheiden. Die Präsentation schliesst mit detaillierten Anleitungen zum effektiven Prompting und interaktiven Übungen. Sie bietet auch eine Liste von Ressourcen für weiterführende Informationen und eine umfassende Bibliographie. Insgesamt ist die Präsentation eine gründliche Einführung in die Nutzung generativer KI für Textproduktion, speziell ausgerichtet auf die Bedürfnisse von Historiker:innen.

These artefacts accompany the "Mining Issue Trackers: Concepts and Techniques" chapter within the "Handbook of Natural Language Processing for Requirements Engineering" book. The book chapter includes a "Use Cases" section where natural language processing (NLP) techniques are applied to issue tracker data from Montgomery et al. [1]. The JupyterNotebooks in this replication package can be used to follow along with the use cases in the chapter. Lloyd Montgomery - lloyd.montgomery@uni-hamburg.deDr. Clara Lüders - clara.marie.lueders@gmail.comProf. Dr. Walid Maalej - walid.maalej@uni-hamburg.de All authors are affiliated with the University of Hamburg in Hamburg, Germany. Please cite this work as: Montgomery L, Lüders C, Maalej W. of Part, "Mining Issue Trackers: Concepts and Techniques," in "Handbook of Natural Language Processing for Requirements Engineering", 1st Edition, Ferrari A, Deshpande G. Eds. Springer Nature Switzerland AG, Cham, Switzerland, 2024, to appear. Title of Chapter: "Mining Issue Trackers: Concepts and Techniques" Abstract of the Chapter: An issue tracker is a software tool used by organisations to interact with users and manage various aspects of the software development lifecycle. With the rise of agile methodologies, issue trackers have become popular in open and closed-source settings alike. Internal and external stakeholders report, manage, and discuss “issues”, which represent different information such as requirements and maintenance tasks. Issue trackers can quickly become complex ecosystems, with dozens of projects, hundreds of users, thousands of issues, and often millions of issue evolutions. Finding and understanding the relevant issues for the task at hand and keeping an overview becomes difficult with time. Moreover, managing issue workflows for diverse projects becomes more difficult as organisations grow, and more stakeholders get involved. To help address these difficulties, software and requirements engineering research have suggested automated techniques based on mining issue tracking data. Given the vast amount of textual data in issue trackers, many of these techniques leverage natural language processing. This chapter discusses four major use cases for algorithmically analysing issue data to assist stakeholders with the complexity and heterogeneity of information in issue trackers. The chapter is accompanied by a follow-along demonstration package with JupyterNotebooks. [1] Montgomery, L., Lüders, C., Maalej, W.: An alternative issue tracking dataset of public jira repositories. In: Proceedings of the 19th International Conference on Mining Software Repositories. pp. 73–77 (2022)

Invited keynote for the Making Meaning 2024: Collections as data conference at the State Library of Queensland on 8 March 2024. Evolutionary Innovations: Collections as Data in the AI era ‘Collections as data’ describes the movement to publish open data from museum, library and archive collections that began in the noughties. The benefits of machine learning for better discoverability and research with digitised/born digital collections are alluring. And the popularity of generative AI - and an increased awareness of the biases it reinscribes - has focused attention on responsible computational access to collections - but what does this mean in practical terms? Mia will share examples from the British Library and the Living with Machines data science project.

Diccionario de Datos que corresponde al dataset "censo-1914-bibliotecas". En este material se documenta el proceso de preparación de los datos sobre las bibliotecas extraídos del Tercer Censo Nacional de la Argentina levantado el 1º de junio de 1914.

Datos sobre bibliotecas extraídos del Tercer Censo Nacional levantado el 1º de junio de 1914.