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This repository contains the data used for and generated during our research for the article "Neo-Assyrian Imperial Religion Counts: A Quantitative Approach to the Affiliations of Kings and Queens with their Gods and Goddesses" by Amy Rebecca Gansell, Tero Alstola, Heidi Jauhiainen, and Saana Svärd, published in the Journal of Ancient Near Eastern Religions. In the article, we study the relationships between Neo-Assyrian deities, kings, and queens. Our text data on kings comes from the Open Richly Annotated Cuneiform Corpus (Oracc). After preprocessing our dataset, we analyzed 575 texts in which at least one king and one deity co-occur within a window of ten words. These texts come from the Oracc projects RINAP, RIAo, RIBo, and SAAo. The connections between queens and deities were collected manually. The folders in this repository contain the following: Kings: Files that relate to the textual dataset on kings and deities, including various statistics and the text file from which we extracted the co-occurrences of kings and deities within a window of ten words. OraccData: Oracc texts and their metadata converted to .tsv files. Queens: Data used for analyzing the co-occurrences of queens and deities, including some statistics. Standardization: Lists used for standardizing proper nouns in the textual data. Tables: Full versions of the tables that are published in a shortened form in the article. We gratefully acknowledge that our research has been funded by the Academy of Finland (decision numbers 298647, 312051, and 330727). Our research data originates from the Open Richly Annotated Cuneiform Corpus (Oracc). We thank Oracc for their efforts in making linguistically annotated cuneiform texts available online. We are indebted to everyone who has been involved in creating this research data, including the authors of the original publications and the researchers who have made the data Oracc-compatible and enriched it through lemmatizations and by adding other metadata (for a list of projects and their contributors, see the file OraccCredits.txt). In the context of this article and dataset, we want to acknowledge the work of the Munich Open-access Cuneiform Corpus Initiative (PIs Karen Radner and Jamie Novotny) and the Royal Inscriptions of the Neo-Assyrian Period project (PI Grant Frame) in particular. We thank Jamie Novotny for making the royal inscriptions of Sargon II from the RINAP 2 project available to us before their publication. We thank Aleksi Sahala for support with the Pmizer tool and running the first co-occurrence lists, Johannes Bach for helping to develop the rules to replace first person verbs and pronouns, Repekka Uotila for help with preliminary analysis of our data, and Shana Zaia for feedback on earlier drafts of the article.

This thesis navigates the complex landscape of cultural heritage digitization in Finland, focusing on standardization and preservation challenges. Examining technological advancements and industry collaborations, the research adopts a case study approach, partnering with Tietoa Oy and the Finnish Heritage Agency. The study explores the guiding principles for cultural heritage digitization, emphasizing the importance of site selection, preservation considerations, and the impact of technology development. An analysis of digitization projects, particularly the Ainola Artist Homes, reveals the evolving influence of equipment, technology, and techniques on digital model fidelity. As a contribution to the ongoing discourse, this thesis aims to provide nuanced insights into the challenges of standardization in cultural heritage digitization, offering a perspective that aligns with the ever-changing demands of the field. Tämä opinnäytetyö tarkastelee kulttuuriperinnön digitointia Suomessa, keskittyen standardointiin ja säilyttämisen haasteisiin. Tutkimus hyödyntää tapaustutkimusta yhteistyössä Tietoa Oy:n ja Museoviraston kanssa. Tutkimus syventyy kulttuuriperinnön digitoinnin ohjaaviin periaatteisiin, korostaen esinevalintaa, säilyttämisen näkökohtia ja teknologian kehityksen vaikutusta. Analyyttinen tarkastelu digitointiprojekteista, erityisesti taiteilija koti Ainola-projektista, paljastaa laitteiden, teknologian ja menetelmien kehityksen vaikutukset digitaalisten mallien laatuun. Osana jatkuvaa keskustelua tämä opinnäytetyö pyrkii tarjoamaan hienovaraisen näkemyksen standardoinnin haasteisiin kulttuuriperinnön digitalisoinnissa, tarjoten näkökulman, joka mukautuu alati muuttuviin vaatimuksiin alalla.

The thesis presents the artistic research project that began alongside my artistic practice and was further developed in reflective collaboration with Tomi Humalisto and Nanni Vapaavuori. The approach used to conduct the research follows the practices and the processual character of artistic research. My individual work was the preliminary step for the common research. A virtual reality artwork that I created served as the catalyst for the research. Consequently, the creative process of the author and the audience’s experience were put under examination. The artistic research occurred in different steps and adopted various methods to meet the current objectives. The research was initiated from personal interest to reflect on the possibilities of experiencing light art in virtual reality. The urge to disseminate the reflection widely led to the collaboration with colleagues and to a colloquium presentation. Finally, the research resulted in a proceedings article from this presentation. The article has been submitted at the moment of writing this thesis report, and its publication has been agreed upon. The article explains the process of examining the virtual reality artwork. It connects this particular artwork to a broader context of virtual reality experiences and to the philosophical ideas of Georges Didi-Huberman. It legitimises and articulates the reflexive and discursive work done during the process. The thesis report frames the whole artistic research project shedding light on the context of light art, the character of virtual reality as an experiential medium, and the field of artistic research retroactively.

Climate change, particularly through Arctic amplification, poses significant concerns for the preservation of cultural heritage sites in the Arctic region, with Svalbard’s cultural heritage objects highly vulnerable to the exacerbating natural hazards like permafrost degradation, landslides, and erosion. This thesis presents a comprehensive assessment of the risks associated with ten specific hazards affecting 260 cable car posts and other cultural heritage objects in the Longyearbyen area and Ny-Ålesund, which house the most valuable heritage collections in Svalbard. The study employs a multidisciplinary approach, combining literature analysis, geographical information analysis, PCCH-Arctic Risk Assessment data, and fieldwork. By incorporating climate change projections, the research evaluates the natural hazards and determines the level of risk faced by cultural heritage in Svalbard. The outcomes of this study include an updated and enhanced Risk Assessment and an interactive ArcGIS Online map that highlights the risks associated with each cultural heritage object and cable car line. The findings indicate that approximately 16% of the studied cultural heritage objects in Longyearbyen are exposed to a high level of total risk, primarily due to permafrost degradation, snow avalanches, and rockfalls. Notably, Line 1b of the cable car system exhibits the highest overall risk. This assessment identifies the most vulnerable cultural heritage objects and cable car lines, thereby providing valuable data for prioritizing safeguarding efforts and protecting Svalbard's heritage in the face of natural hazards and climate change. Ilmastonmuutos aiheuttaa merkittäviä huolenaiheita arktisen alueen, kuten Huippuvuorten kulttuuriperintökohteiden säilyttämiselle. Nämä kulttuuriperintökohteet ovat alttiita ilmastonmuutoksen vaikutuksesta voimistuville luonnonkatastrofeille, kuten ikiroudan sulamiselle, maanvyörymille ja eroosiolle. Tämä diplomityö tarkastelee kymmentä luonnonkatastrofia ja niiden aiheuttamaa riskiä yhteensä 260:een köysiratarakennelmaan ja muuhun kulttuuriperintökohteeseen Longyearbyenin alueella ja Ny-Ålesundissa, missä Huippuvuorten arvokkaimmat kulttuuriperintökokoelmat sijaitsevat. Tutkimuksessa käytetään monialaista lähestymistapaa, jossa yhdistetään kirjallisuusanalyysi, geoinformatiivinen analyysi, PCCH-Arctic riskiarvion aineisto ja kenttätyöskentelyn materiaali. Tutkimuksessa määritellään luonnonkatastrofien aiheuttama kulttuuriperintöön kohdistuva kokonaisriski. Tämän tutkimuksen tuloksia ovat päivitetty riskiarvio ja interaktiivinen ArcGIS Online -kartta, joka korostaa kuhunkin kulttuuriperintökohteeseen ja köysiratajärjestelmään liittyvät riskit. Löydökset osoittavat, että noin 16 % Longyearbyenin tutkituista kulttuuriperintökohteista on alttiina korkealle kokonaisriskille, mikä johtuu pääasiassa ikiroudan rappeutumisesta, lumivyöryistä ja kivivyöryistä. Köysiratajärjestelmistä, linjalla 1b on suurin kokonaisriski. Tämä arvio tunnistaa haavoittuvassa asemassa olevat kulttuuriperintökohteet ja köysilinjat, tarjoten arvokasta tietoa turvaavien toimien priorisoimiseksi luonnonuhkien ja ilmastonmuutoksen vaikutuksessa.

The main objective of this work was to investigate the effectiveness of various Natural Language Processing (NLP) techniques in processing and analyzing text data. The study focused on identifying and detecting toxic comments, which is becoming increasingly important in the digital age due to the massive amount of user-generated content on social media and online platforms. Robust methods are needed to monitor and filter harmful or inappropriate language to create a safer and more respectful online environment. This research aimed to contribute to this effort by efficiently identifying toxic commentary. The study utilized the Jigsaw Multilingual Toxic Comment dataset to train several models. This dataset is valuable because it contains a diverse and comprehensive collection of comments, which can simulate real-world online interactions. The research involved experimenting with various word embedding techniques, such as Word2Vec, TF-IDF, GloVe, FastText, and specialized embedding layers, to represent text data effectively. These techniques play a crucial role in translating human language into formats that can be understood and processed by machine learning models. For the classification task, a diverse set of models was employed, including both traditional machine learning algorithms like Naive Bayes, Random Forest, Logistic Regression, LinearSVM, and XGBoost, as well as advanced deep learning models such as Convolutional Neural Network (CNN), Recurrent Network (RNN), Long-short Term Memory (LSTM), Gated Recurrent Units (GRU), Bidirectional Encoder Representations from Transformers (BERT), a distilled version of BERT (DistilBert), and XLM-RoBERTa (XLM-R). This comprehensive approach was designed to assess and compare the capabilities of different models in accurately identifying toxic comments. XLM-RoBERTa was the most effective model, with an accuracy of 96% and an F1 score of 88% in detecting toxic comments. This high level of performance indicates the model's robustness and reliability in detecting toxic comments in diverse contexts. Further solidifying its practical applicability, the best-performing model was then tested on real-world data obtained from Twitter, aiming to detect inappropriate tweets in a live environment.

This research-type thesis aims to explore the Generative AI technology and its application to the workflow of an IT specialist, the possibilities of integration of Generative AI tools to the business processes, define the scenarios of the technology development and influence on the IT field for the next five years. The research is conducted using qualitative methods. By comparing information collected through systematic literature review and semi-structured interviews with IT specialists, thesis aims to realistically evaluate Generative AI potential and define risks associated with the technology that cannot be overlooked. The report begins with an introduction chapter that defines research aims and objectives as well as the key concepts explored in the study. The introduction is followed by literature review that outlines possibilities and limitations of Generative AI, ways of its application to the IT specialist workflow, impact of the technology on the employee productivity, opportunities and risks related to integration of Generative AI tools into the business processes. The next chapter defines and justifies the interview method, outlines the research focus group and implementation steps. It is followed by the summary of the interview participant’s insights and experiences. In the discussion chapter gathered information is efficiently analyzed to answer the research questions. The report is closed by a list of Generative AI tools and their application to various IT roles, recommendations for individual specialists and businesses regarding Generative AI, as well as formulated scenarios of this technology future development and influence on the field of IT. The study concludes that Generative AI is the technology that will stay and become a new norm in the IT specialist workflow. Currently ChatGPT and GitHub Copilot are the tools that will be the most beneficial for the IT specialist, while other role-specific tools may be not yet developed enough to be useful for senior specialists. Generative AI is expected to transform standard IT roles, automate, and simplify development processes. Albeit its benefits for individual specialists, this technology is not recommended to be integrated on the business level for now, since there is no sufficient law regulation of AI, which makes the tools not safe in terms of potential confidential information leakage, issues related to copyright and output bias of the current Generative AI models. The research also formulates negative, neutral, and positive Generative AI evolvement scenarios that cover changes that the technology may cause on the IT industry in the next five years.

This dataset contains a proof-of-concept GIS database of over 29,000 individual historical road polyline segments as a shapefile dataset, covering over 11,000 km2 in the western Finland from the city of Turku to northern parts of the province of Satakunta. These polylines capture the regional layout of the overland transport infrastructure of late nineteenth and early twentieth century Finland. {"references": ["Oksanen, Eljas, Saarenp\u00e4\u00e4, Ida. and Lahtinen, Anu. 2023. The HISCOM Project. Exploring Methodologies for Large-scale Digitisation of Historical Roadways. SKAS 2/2022, 8-14"]}

Interview guide for service developers interviews regarding a research infrastructure for the digital humanities and computational social sciencies.

This thesis is observing and analyzing a contemporary painting practice happening in the post internet era. Post internet is a definition of the wholesome global culture environment of today, risen after the moment of common internet access and entitled to the standard existence of the internet everywhere and for everyone. Post internet is a layer in the culture and on a constant emergence affecting the society. The theoretical framework of this thesis is discussing the nature of post internet and showcasing examples of contemporary painting that have physical and traditional mediums: observing influences of post internet in contemporary, physical painting. Throughout the artwork examples are pointed influences of the post internet era; influences that can be analyzed within the subject matters, visual styles and processes. The examples chosen for the theoretical analysis are interesting for supporting the continuum and development of contemporary, physical painting. Thesis also includes a report of an artistic part of the thesis: a series of works consisting of two oil paintings and two mixed media sculptures. The artworks are introduced with artwork statements reflecting the post internet era.

This thesis is intended to answer a question why feminist erotic art is important. Erotic art encompasses a diverse range of artistic expressions that delve into human sexuality, desire, and sensuality. It explores the intricacies of intimacy, pleasure, and the human body through various mediums such as paintings, sculptures, photographs, literature, and performances. Throughout history, different cultures have depicted sexual acts, nudity, and desire in their art, challenging societal norms and conventions surrounding sexuality. Erotic art evokes a wide array of emotions, from arousal and excitement to introspection and contemplation. It celebrates the beauty of the human form while delving into themes of passion, intimacy, and the exploration of desires. Though at times controversial, erotic art sparks meaningful conversations about the multifaceted nature of human experiences and the diverse expressions of sexuality.