bluuebunny/crossref_metadata_2025 huggingface dataset:
Metodologia ativa no ensino básico: o jogo educacional como ferramenta para uma aprendizagem significativa
Authors: Piacente Fabrício José , Silva Vanessa de Cillos
Published: October 2024

O uso de jogos pedagógicos no ambiente escolar proporciona às crianças momentos de aprendizagem eficaz e prazerosa, desde que planejados cuidadosamente e alinhados ao nível de conhecimento e às capacidades dos alunos, especialmente nos primeiros anos do Ensino Fundamental. Para que os jogos alcancem os efeitos educacionais esperados, a mediação docente é essencial. Este estudo, desenvolvido no âmbito de um Projeto Interdisciplinar, teve como objetivo aplicar o jogo pedagógico "Avançando com o Resto" em uma turma de 5º ano do Ensino Fundamental, com foco em potencializar a aprendizagem de conceitos matemáticos. A metodologia adotada envolveu uma pesquisa exploratória e descritiva, seguida pela aplicação de um Estudo de Caso. Os resultados indicam que, durante a utilização do jogo, os alunos demonstraram dificuldades pedagógicas relacionadas à disciplina de matemática, com ênfase nas operações de multiplicação e subtração. Esses achados reforçam a importância de estratégias pedagógicas lúdicas para a superação de barreiras no processo de aprendizagem matemática.
Aproveitamento de resíduo (película) de castanha-do-Brasil como insumo para indústria de cosméticos
Authors: Barros Heloisa Lira , Paes Ellen Regina da Costa , Kluczkovski Ariane Mendonça , Barroncas Janaína , Sousa Maria Lucidalva Ribeiro de , Martins Kellly Cristina , Melo Matheus Fonseca de , Simplicio Fernanda Guilhon
Published: October 2024

A castanha-do-Brasil (Bertholletia excelsa H.B.K.) é um produto importante da bioeconomia Amazônica que no processamento pode gerar resíduos como cascas e películas. Esses materiais possuem compostos bioativos e podem ser utilizados como insumos para novos produtos cosméticos. Portanto, o objetivo desse trabalho foi caracterizar a película de castanha-do-Brasil e testar como insumo de uma formulação cosmética (esfoliante labial) submetido aos testes de estabilidade. A película demonstrou ser fonte de fibra e selênio e o produto apresentou boa performance e estabilidade ao longo do tempo. Nesse contexto, o aproveitamento da película pode contribuir com a sustentabilidade de processamentos industriais em diminuir os resíduos ambientais e prospectar como insumo de outras formulações cosméticas.
Educação patrimonial e ambiental a partir dos sítios arqueológicos das serras de Itiúba-BA
Authors: Pereira Mardson Miguel dos Santos , Leonor Maria Ildivânia de Souza , Silva Gilmar D’Oliveira , Vieira Júlio Cesar da Silva Moura , Santana Joyce Avelino Carneiro , Santana Cristiana de Cerqueira Silva
Published: October 2024

Os ambientes de serra e os sítios arqueológicos de arte rupestre apresentam grande potencial educativo tanto ambiental quanto patrimonial, servindo como espaços de aprendizagem na educação escolar e/ou não escolar. Os sítios de arte rupestre apresentam importância educativa e cultural e muitos desses sítios se localizam em espaços remotos, de difícil acesso. Neste artigo localizamos dois sítios de arte rupestre nas serras que margeiam a cidade de Itiúba, semiárido baiano. Esses sítios apresentam grande potencial educativo tanto voltado à Educação Patrimonial quanto à Educação Ambiental. Nosso objetivo consistiu em analisar esses dois sítios arqueológicos de arte rupestre, a fim de utilizá-los como instrumento educativo para a educação básica, estimulando a preservação dos mesmos. Percebe-se que os locais onde encontram-se os sítios apresentam paredões rochosos com pequenas cavernas, vegetação densa, biodiversidade animal e vegetal e próximos a nascentes de água e riachos. Buscando sensibilizar estudantes acerca da importância da preservação dos sítios arqueológicos e das nascentes das serras, foi mobilizado junto à estudantes de uma escolar de Itiúba, uma atividade de Educação Patrimonial e Educação Ambiental. A prática educativa mesclou informações ambientais e patrimoniais e constituiu em um primeiro momento de aproximação dos discentes ao tema dos sítios arqueológicos do município.
Bets e apostas online: o jogo do Tigrinho e seu efeito tangerina
Authors: Mendieta Fábio Henrique Paniagua , Queiroz André Felipe
Published: October 2024

Estima-se que no Brasil 68 bilhões de reais foram gastos com apostas online em 12 meses acumulados até junho de 2024, com saldo líquido nas operações de quase 24 bilhões de reais anuais. Levantamentos evidenciam que apostas online consomem aproximadamente 20% do orçamento discricionário mensal das famílias brasileiras de baixa renda; 60% de pessoas que apostam em jogos online e Bets esportivas reconhecem que as apostas afetam o seu estado emocional; e 42% das pessoas que apostam online afirmam que apostar é uma forma de escapar de problemas ou de evitar emoções negativas. Assim, o objetivo desse trabalho é analisar elementos mercadológicos de neuromarketing que podem ser identificáveis no jogo online de apostas Fortune Tiger, conhecido popularmente como jogo do Tigrinho. Foi identificado a utilização predominante de cores que se associam aos sentimentos de emoção e felicidade, além de brilhos e sons que podem se conectar ao sistema emocional das pessoas, causando efeitos cognitivos e gerar sensações associadas a emoção, entusiasmo, felicidade e otimismo. Na dinâmica do jogo, foi descoberto um fenômeno na qual em determinadas rodadas, existem indicações audiovisuais que reforçam a ocorrência de um resultado vitorioso, enquanto há perdas financeiras do valor apostado. Esse fenômeno foi denominado “efeito tangerina”, que ocorre quando uma combinação de elementos de neuromaketing são formulados com o objetivo de gerar sensações positivas ao indivíduo, em apostas de jogos online, de forma que ele não seja capaz de distinguir os ganhos no jogo das perdas financeiras.
Fitopatologia florestal no Maranhão
Authors: Santos Eloar Nascimento dos , Belan Leônidas Leoni , Vaz Marcelo Martins , Oliveira Gustavo Teixeira da Silva , Souza Natalia Batista de , Silva Kmila Gomes da , Núñez Andrés Mauricio Pinzón
Published: October 2024

O agronegócio voltado para a produção e beneficiamento florestal está em constante expansão em todo mundo, em especial na região norte e nordeste do Brasil. No entanto, fatores como as doenças das plantas podem restringir essa expansão. Mas, a partir do conhecimento sobre doenças em espécies florestais é possível evitar e/ou reduzir danos e perdas para produtores e indústrias de madeira e seus derivados. Logo, o objetivo com esse estudo foi revisar os relatos científicos da ocorrência de doenças nas principais espécies florestais cultivadas no Maranhão e regiões adjacentes. Foram encontrados relatos de doenças nas culturas de eucalipto, jaborandi, plantas ornamentais, paricá, teca e seringueira. Foram relatadas doenças em espécies florestais ocorrendo nos municípios de Imperatriz, Açailândia, Barra do Corda, São Luís, Paço do Lumiar, São Raimundo das Mangabeiras, Estreito e Dom Eliseu. A maior parte das doenças relatadas foram de etiologia fúngica. Foram compiladas dessas publicações as descrições sobre sintomas das doenças, os testes realizados para identificação dos agentes etiológicos, as condições ambientais favoráveis ao desenvolvimento dessas doenças e as respectivas medidas de manejo. Nessa revisão também é abordado sobre as principais doenças para cada uma das espécies, considerando sua etiologia, sintomatologia, epidemiologia e manejo. Assim foi possível concluir que apesar do potencial e favorabilidade para o desenvolvimento do setor florestal do estado do Maranhão e adjacências, as doenças nas plantas podem limitar essa produção. Essa é a primeira reunião de informações sobre fitopatologia florestal para a região e que dão subsídio para propor práticas de manejo sustentáveis.
Semaglutida pode ser utilizada para a perda de peso? - Indicações e possíveis complicações relacionadas ao medicamento
Authors: Mineiro Lara Julia Evangelista , Santana Rafael Caetano da Silva , Oliveira Pedro Henrique Lessa de , Bispo Jéssica de Assis , Hanna Michel Magnani , Aquino Érika Carvalho de
Published: October 2024

Este estudo revisa as indicações e complicações do uso da semaglutida para perda de peso, através de uma revisão integrativa da literatura baseada em artigos indexados nas plataformas PubMed e LILACS. Utilizando os termos "semaglutide" no título e "weight loss" no título e resumo, foram incluídas publicações em inglês, português ou espanhol de 2019 a maio de 2024. A semaglutida, hormônio sintético semelhante ao glucagon (GLP-1), utilizado no tratamento do DM2, também demonstra eficácia na perda de peso em indivíduos obesos e com sobrepeso, sejam diabéticos ou não. O programa SUSTAIN concluiu que a semaglutida é mais eficaz na redução de peso em comparação com placebo e outros antidiabéticos, como a liraglutida. O estudo PIONEER mostrou que doses de 7 mg e 14 mg melhoraram a hemoglobina glicada, enquanto a dose de 3 mg não apresentou benefícios significativos. O estudo STEP avaliou a eficácia da semaglutida exclusivamente para perda de peso, com 85% dos participantes no PASSO 1 alcançando uma perda de peso de 5% ou mais, comparado a 32% no grupo placebo, e uma perda média de 14,9%. No PASSO 4 do STEP, melhorias na circunferência da cintura, pressão arterial, glicemia e lipídios foram observadas durante as primeiras 20 semanas e mantidas até a semana 68 para os que continuaram o tratamento. Os efeitos colaterais mais comuns foram gastrointestinais, incluindo náuseas, diarreia, vômitos e constipação. Eventos adversos graves ocorreram em 9,8% dos participantes que receberam semaglutida e em 6,4% dos que receberam placebo.
Grammatical Alliance in Malay Language: A Study of Linguistic Typology
Authors: Soraya Ratna , Mulyadi
Published: October 2024

This article is entitled Aliansi Gramatikal Na Lingua Melayu: Study of Linguistic Typology. This study of the Malay language's grammatical alliance aims to understand (1) the basic construction of clauses, (2) the construction of complex sentences, (3) the pivotal system, and (4) ultimately the definition of the grammar alliance system. This study uses the theory of language typology as the main theory proposed by Comrie. (1988). These research data are clauses and sentences. Qualitative descriptive. This approach aims to understand the existence of the overlap of different external and internal symptoms of the subject being the subject of the study. Data from the coordinative construction and subordinative construction of the Malay language typologically leads to the finding that in syntax, the Malay languages treat S equally with A, and give different treatment to P (S`=`A`≠ P). The Malay language is a group of languages that works with the S/A pivot system. A system of grammatical alliances such as this suggests that Malay is syntaxically a language of nominative-akusative type. Observing the behavior of S on the intransitive clause with the behaviour of A and P on the transitive clauses of Malay language which indicates that S is equal to A and equally equal with P, then morphologically Malay language has a tendency as a nominative-akusative language.
Efficient and Secure Data Deduplication in Distributed Cloud Storage: A Fault-Tolerant Model Using Active Learning for Big Data Management
Authors: S. Seethalakshmi  , Dr. B. Balakumar
Published: October 2024

As the big data era advances, more and more redundant data are being expressed in various ways. Data deduplication knowledge has never been more important than it is now for lowering redundant data storage and enhancing data quality. Connecting several data tables and identifying distinct entries that point to the same item is typically required, particularly when multi-source data deduplication is involved. Active learning minimises the amount of data that needs to be annotated and trains the classical by choosing the data pieces with the greatest evidence divergence. This approach offers special benefits when handling massive data annotations. Unfortunately, the majority of existing active learning techniques are rarely used for data deduplication jobs and only use classical entity matching. The research effort suggests a model, a distributed cloud storage method that ensures effectiveness, security, and high availability, to close this research gap. By intelligently distributing data subsets among servers, the suggested approach achieves fault tolerance while preserving redundancy for high availability. This suggested model reduces the amount of storage space and upkeep required for the data while eliminating duplicate copies. Additionally, the data is kept in a highly secure and effective manner. The suggested model's efficacy in fault tolerance, cost reduction, batch auditing, and block- and file-level deduplication is demonstrated by the experimental findings. It performs better than current systems thanks to its robust fault tolerance, minimal time complexity, and excellent deduplication capabilities.
FEATURES OF CORPORATE INCOME TAX IN KAZAKHSTAN
Authors:   Turan University, Almaty, Kazakhstan, Pralieva S. Zh. , Barysheva S.K. ,   Turan University, Almaty, Kazakhstan, Amangozhayeva A. ,   Turan University, Almaty, Kazakhstan
Published: October 2024

The relevance of the article is that today one of the fundamentally important problems is to strengthen the financial system and ensure the entry of the national economy of Kazakhstan into the trajectory of sustainable socio-economic development. The priority issues of modern economic policy are the formation of an effective taxation system in Kazakhstan. It is determined by the fact that tax planning contributes to the optimization of taxes and payments in accordance with the tax code of the Republic of Kazakhstan. Modernization of tax obligations is measures of business entities aimed at reducing taxes and payments, taking into account benefits and provisions in accordance with the tax code of the Republic of Kazakhstan. Tax planning is aimed at solving problems such as increasing income and reducing tax liabilities. It is aimed at optimizing taxes and payments by enterprises, opening accounting documents and tax reports for tax structures. To do this, business entities use tax planning, which provides for tax incentives based on the use of benefits in accordance with tax legislation. In general, modernization is any activity aimed at improving the overall situation. In the tax part, optimization involves a combination of tax indicators and, on their basis, improving the calculation of tax liabilities and snow-year conditions of enterprises. One of the tools for optimizing taxes and payments, as well as tax planning, is the development of a tax accounting policy. The tax policy discloses all the tax features of the company, and also provides for the disclosure of tax documents. The article also outlines the types of tax planning – strategic and tactical characteristics. Strategic tax planning is being developed to modernize long-term taxes and payments. The development of a plan of the current reporting time for specific types of taxes and payments implies a set of measures of tactical tax planning. It was noted that the main goal of tax planning is to improve tax liabilities and increase the efficiency of enterprises.
THE EXPERIENCE OF ARTIFICIAL CULTIVATION OF FRY OF THE ARAL BARBEL (LUCIOBARBUS BRACHYCEPHALUS)
Authors:   «Fisheries Research and Production Center» LLP, Aral branch, Kyzylorda, Kazakhstan, Barakbayev T.T. , Iskhakov G.Zh. ,   «Fisheries Research and Production Center» LLP, Aral branch, Kyzylorda, Kazakhstan, Yeraliuly A. ,   RSOE «Kamyshlybashsky fish nursery», Aralsk, Kazakhstan
Published: October 2024

This article presents the results of research to assess the growth of fingerlings of the rare and endangered Aral barbel (Luciobarbus brachycephalus) in fish farms in the Kyzylorda region. The research cover in detail the work on the cultivation of larvae in pond conditions obtained from individuals of barbel caught in the Syrdarya River in the territory of the Kyzylorda region. For research purposes, the characteristics of the pond and the water source in it are given, as well as a description of the tools for conducting control catches. The results of control catches of barbel larvae from the moment they were planted in the pond were analyzed to determine the growth rates of their main biological indicators. The deadlines and intervals of control work are also described in detail. In the conditions of the pond, the obtained results of analyses of indicators of the Fulton fatness index of barbel fry in comparison with representatives of barbel in their natural habitat are presented. During the results of growing barbel fingerlings, it was shown that the average weight of fry in the 2nd decade of September reached 15.1 g, and this indicator gives full opportunity to harvest fish planting material in the conditions of fish farms in the region.
METHOD OF STUDYING PHYSICAL PROCESSES IN A THERMODYNAMIC SYSTEM
Authors:   G. Daukeev Almaty University of Energy and Communications, Almaty, Kazakhstan, Kyrykbaev B.
Published: October 2024

The article uses the thermodynamic method to study the effect of temperature on the Gibbs free energy, the determination of its coefficient and the dependence of the melting temperature of phases on pressure. Nerns's thermal theorem was revised by the method of quantum statistics, and it was discussed in detail and proved that isothermal processes occur without a change in entropy as the temperature approaches T→0, and that changes in free energy (∆G), enthalpy (∆H) are characterized by a tangent parallel to abscissa axis.
THE CURRENT STATE AND MAIN TRENDS IN THE DEVELOPMENT OF INDUSTRY IN ZHAMBYL REGION
Authors:   M. Kh. Dulaty Taraz Regional University, Taraz, Kazakhstan, Amirova G.K. , Narenova A.N. ,   M. Kh. Dulaty Taraz Regional University, Taraz, Kazakhstan, Baitilenova E.S. ,   M. Kh. Dulaty Taraz Regional University, Taraz, Kazakhstan, Amalbekova G.E. ,   M. Kh. Dulaty Taraz Regional University, Taraz, Kazakhstan
Published: October 2024

The industrial sector of the economy is a leading factor in the development of state potential in general, especially taking into account the modernization of the technological component, the formation and integrated application of a competitive business segment. Raw materials industries and government investments continue to be the engines of the economy. The problem is that projects in the manufacturing industry face insufficient conditions for investment due to lack of access to long and inexpensive credit resources. As a result, this sector of the economy is less attractive to investors compared to other sectors of the country's economic complex. Therefore, the key factor of sustainable and high-quality industrial development at the regional level is the introduction of modern methods of influencing the competitive environment, the use of technological and innovative mechanisms in the industrial sector of the Zhambyl region. The article reflects the analysis of the development of industries in the Zhambyl region, and considers the prospects for the development of the industrial complex.
AI w newsach. Standardy dziennikarskie, praktyki redakcyjne, wyzwania/AI in news media. Journalistic Standards, Editorial Practices, Challenges
Authors: Chlebowski Michał
Published: October 2024

Narzędzia zbudowane w oparciu o sztuczną inteligencję coraz częściej wykorzystywane są w codziennej pracy redakcji. AI pisze artykuły, tworzy grafiki, przeprowadza dokumentację, a nawet podejmuje kluczowe decyzje redakcyjne o formie i czasie publikacji. Zmienia się tym samym nie tylko sposób działania mediów, ale cały model komunikowania masowego, poprzez wprowadzenie nowego samodzielnego elementu między nadawcą a odbiorcą, jakim jest sztuczna inteligencja. Tak głęboka ingerencja w sposób pracy dziennikarzy wymaga namysłu nad aspektami etycznymi oraz wypracowania nowych standardów warsztatowych. Celem niniejszego artykułu jest wskazanie głównych obszarów, w jakich AI zmienia współczesne dziennikarstwo na całym świecie oraz pokazanie w jaki sposób redakcje i stowarzyszenia dziennikarskie próbują na to wyzwanie odpowiedzieć, tworząc nowe wytyczne pracy dziennikarzy.Tools built on artificial intelligence are increasingly being utilized in the daily work of editorial teams. AI writes articles, creates graphics, conducts research, and even makes key editorial decisions regarding the form and timing of publication. This not only changes the way media operates but also the entire model of mass communication, by introducing a new independent element between the sender and the receiver, which is artificial intelligence tool. Such deep intervention in journalists' work practices requires reflection on ethical aspects and the development of new professional standards. The aim of this article is to highlight the main areas in which AI is transforming contemporary journalism worldwide and to demonstrate how editorial teams and journalistic associations are attempting to respond to this challenge by creating new guidelines for journalists' work.
Inżynieria społeczna w czasach generatywnej sztucznej inteligencji/Social Engineering in the Age of Generative Artificial Intelligence
Authors: Pajor Paweł
Published: October 2024

Artykuł przedstawia ewolucję inżynierii społecznej w kontekście dynamicznego rozwoju generatywnej sztucznej inteligencji. Socjotechnika w początkach swego istnienia uważana była za dziedzinę naukową reprezentującą praktyczny aspekt zastosowania wiedzy socjologicznej, lecz obecnie najczęściej postrzegana jest jako narzędzie manipulacji. Jednak rozwój generatywnej sztucznej inteligencji oraz jej wykorzystanie w klasycznych technikach i strategiach socjotechnicznych może przesunąć granice zainteresowania socjologii z działań obszaru badań i opisu zachowań społecznych do praktycznego wykorzystania w procesach inicjowania i kierowania zmianami społecznymi. Autor proponuje zdefiniowanie dwóch obszarów oddziaływania inżynierii społecznej, w których wykorzystywane są zaawansowane technologie cyfrowe, oraz definiuje termin syntetycznego przekazu. Wprowadza termin Frontend Socjotechniczny, obejmujący jawne i widoczne formy aktywności algorytmów cyfrowych, oraz Backend Socjotechniczny, który obejmuje niejawne formy działania technologii cyfrowych. Artykuł przedstawia analizę syntetycznych formy przekazu, takich jak fakenews (tekst), photofake (obraz), voicefake (głos) i deepfake (obraz i głos), które coraz częściej są wykorzystywane w manipulacji opiniami, postawami i zachowaniami społecznymi. Artykuł porusza również kwestie dotyczące zastosowania technologii cyfrowych do nieautoryzowanej inwigilacji cyfrowej.The article presents the evolution of social engineering in the context of the dynamic development of generative artificial intelligence. Initially, social engineering was considered a scientific field representing the practical application of sociological knowledge. However, today it is often perceived as a tool for manipulation. The development of generative artificial intelligence and its use in classic social engineering techniques and strategies may shift sociology's focus from merely studying and describing social behaviors to practically initiating and directing social changes. The author proposes defining two areas of social engineering impact where advanced digital technologies are used and introduces the term "synthetic communication." The concept of "Frontend Social Engineering" is introduced to encompass the explicit and visible activities of digital algorithms, while "Backend Social Engineering" refers to the covert operations of digital technologies. The article analyzes synthetic forms of communication such as fake news (text), photofake (image), voicefake (voice), and deepfake (image and voice), which are increasingly used to manipulate opinions, attitudes, and social behaviors. The article also addresses issues related to the use of digital technologies for unauthorized digital surveillance.
Sztuczna inteligencja w świetle humanistyki cyfrowej i literaturoznawstwa/Artificial Intelligence in the Light of Digital Humanities Literary and Studies
Authors: Mikołajec Marek
Published: October 2024

Autor snuje rozważania na temat rozwoju sztucznej inteligencji (SI) i jej wpływu na współczesne społeczeństwo, ze szczególnym uwzględnieniem humanistyki cyfrowej i literaturoznawstwa. Przytaczając różnorodne przykłady, od literatury po najnowsze technologie takie jak GPT-4, Copilot, i Gemini, autor analizuje, jak narzędzia te przeformułowują pojęcie inteligencji, kreatywności i pracy intelektualnej. Artykuł porusza kwestię zastępowania tradycyjnych ról zawodowych przez SI, podkreślając jednocześnie, że ludzka interakcja i kreatywność pozostają niezastąpione w procesie tworzenia treści. Przywołując historyczne i filozoficzne refleksje na temat roli człowieka w erze cyfrowej, autor zastanawia się nad przyszłością, w której ludzkość musi znaleźć nową równowagę między korzystaniem z technologii a zachowaniem autentycznej inwencji. W części praktycznej popiera te refleksje studiami przypadków (sonety generowane przy użyciu zaawansowanego promptowania). W konkluzji, artykuł podkreśla znaczenie adaptacji i kreatywnego współistnienia z SI, jako klucza do rozwoju w nowych realiach technologicznych.In the article, the author reflects on the development of artificial intelligence (AI) and its impact on contemporary society, focusing on digital humanities and literary studies. The author examines how these tools redefine the concepts of intelligence, creativity, and intellectual labor by bringing forth a wide array of examples, ranging from literature to the latest technologies, such as GPT-4, Copilot, and Gemini. The article addresses the issue of AI replacing traditional professional roles while emphasizing that human interaction and creativity remain indispensable in content creation. Invoking historical and philosophical considerations on the role of humans in the digital era, the author contemplates a future where humanity must find a new balance between leveraging technology and preserving genuine innovation. In the practical section, these reflections are supported by case studies (sonnets generated using advanced prompting). In conclusion, the article underscores the importance of adaptation and creative coexistence with AI as key to evolving in the new technological landscapes
Integracja kształcenia polonistycznego – wykorzystanie generatora AI na lekcjach języka polskiego/Polish language integration – using an AI generator in Polish language lessons
Authors: Półćwiartek Aleksandra
Published: October 2024

Nie ulega wątpliwości, że przed nauczycielem języka polskiego stoi w obecnych czasach trudne zadanie. Sztuczna inteligencja zaczyna wpływać na nas wszystkich, toteż trzeba umieć stawić jej czoła. Uczniowie coraz częściej korzystają z „dobrodziejstw” Chatu GPT podczas pisania szkolnych wypracowań, uwielbiają spędzać czas w wirtualnym świecie, a zadaniem nauczyciela jest wyjście naprzeciw uczniom i pokazanie im dobrodziejstw, jak i zagrożeń płynących ze stron wykorzystujących nowoczesne technologie. Nauczyciel języka polskiego niejednokrotnie stosuje rozmaite metody dydaktyczne podczas lekcji, integrując różne działy kształcenia. Jednym z nowszych osiągnięć techniki stał się ostatnio generator AI, z którego polonista może korzystać również podczas planowania zajęć dydaktycznych. Za jego pomocą może wprowadzić na lekcję elementy sztucznej inteligencji, zintegrować treści nauczania, a także pokazać uczniom nowe podejście do kształcenia i nauki języka polskiego. W poniższym artykule zostaną opisane sposoby wykorzystania generatora AI na lekcjach języka polskiego.There is no doubt that a Polish language teacher faces a difficult task nowadays. Artificial intelligence is starting to affect us all, and we need to be able to face it head-on. Students are increasingly using the "benefits" of GPT chat when writing school essays, they love spending time in the virtual world, and the teacher's task is to meet students' needs and show them the benefits and threats of websites using modern technologies. The teacher often uses various teaching methods during lessons, integrating various areas of education. One of the newest technological achievements has recently become an AI generator, which a teacher can also use when planning teaching classes. Using it, he can introduce elements of artificial intelligence into the lesson, integrate educational departments, and show students a new approach to teaching and learning Polish. The following article will describe ways of using the AI generator in Polish language lessons.
Zelige Door on Golborne Road
Authors: Terracciano Alda
Published: October 2024

In this paper I discuss the multisensory digital interface and art installation Zelige Door on Golborne Road as part of the wider research project ‘Mapping Memory Routes: Eliciting Culturally Diverse Collective Memories for Digital Archives’. The interface is conceived as a tool for capturing and displaying the living heritage of members of Moroccan migrant communities, shared through an artwork composed of a digital interactive sensorial map of Golborne Road (also known as Little Morocco), which includes physical objects related to various aspects of Moroccan culture, each requiring a different sense to be experienced (smell, taste, sight, hearing, touch). Augmented Reality (AR) and olfactory technologies have been used in the interface to superimpose pre-recorded video material and smells to the objects. As a result, the neighbourhood is represented as a living museum of cultural memories expressed in the form of artefacts, sensory stimulation and narratives of citizens living, working or visiting the area. Based on a model I developed for the multisensory installation ‘Streets of...7 cities in 7 minutes’, the interface was designed with Dr Mariza Dima (HCI designer), and Prof. Monica Bordegoni and Dr Marina Carulli (olfactory technology engineers/designers) to explore new methods able to elicit cultural Collective Memories through the use of multi-sensory technologies. The tool is also aimed at stimulating collective curatorial practices and democratise decision-making processes in urban planning and cultural heritage.
The unchallenged persuasions of mobile media technology
Authors: Saariketo Minna
Published: October 2024

In recent years, networked devices have taken an ever tighter hold of people’s everyday lives. The tech companies are frantically competing to grab people’s attention and secure a place in their daily routines. In this short paper, I elaborat further a key finding from an analysis of Finnish press coverage on Google Glass between 2012 and 2015. The concept of pre-domestication is used to discuss the ways in which we are invited and persuaded by the media discourse to integrate ourselves in the carefully orchestrated digital environment. It is shown how the news coverage deprives potential new users of digital technology a chance to evaluate the underpinnings of the device, the attachments to data harvesting, and the practices of hooking attention. In the paper, the implications of contemporary computational imaginaries as (re)produced and circulated in the mainstream media are reflected, thereby shedding light on and opening possibilities to criticize the politics of mediated pre-domestication.
Towards the Automatic Classification of Speech Subjects in the Danish Parliament Corpus
Authors: Haltrup Hansen Dorte , Navarretta Costanza , Offersgaard Lene , Wedekind Jürgen
Published: October 2024

This paper addresses the semi-automatic subject area annotation of the Danish Parliament Corpus 2009-2017 in order to construct a gold standard corpus for automatic classification. The corpus consists of the transcriptions of the speeches in the Danish parliamentary meetings. In our annotation work, we mainly use subject categories proposed by Danish scholars in political sciences. The relevant subjects areas of the speeches have been manually annotated using the titles of the agendas items for the parliamentary meetings and then the subjects areas have been assigned to the corresponding speeches. Some subjects co-occur in the agendas, since they are often debated at the same time. The fact that the same speech can belong to more subject areas is further analysed. Currently, more than 29,000 speeches have been classified using the titles of the agenda items. Different evaluation strategies have been applied. We also describe automatic classification experiments on a subset of the corpus using feature extracted with NLP techniques. The best results (96% F-score) were obtained using features extracted from the agenda items. These results indicate that the gold standard corpus and agenda items can be used for automatically classify parliamentary debates with high accuracy.
A Citizen Science Approach to Archaeology
Authors: Wessman Anna , Thomas Suzie , Rohiola Ville , Kuitunen Jutta , Ikkala Esko , Tuominen Jouni , Koho Mikko , Hyvönen Eero
Published: October 2024

In this paper, we present an ongoing project called Finnish Archaeological Finds Recording Linked Open Database (Suomen arkeologisten löytöjen linkitetty avoin tietokanta – SuALT), including the reasons why this citizen science project is underway. SuALT will be a digital web service catering for discoveries of archaeological material made by the public; especially, but not exclusively, metal-detectorists. SuALT engages the citizens by providing them access to contextualized data about other related finds by linking data from different data sources in Finland and beyond. SuALT is a collaborative consortium project. The project team members work in three sub-projects, each led by a different organization and thus represents a broad interdisciplinary group, that combines specialisms from archaeology, semantic computing, cultural heritage studies, and archaeological heritage management. Subproject 1, which is based at the Department of Cultures at the University of Helsinki, focuses on user needs research and on the public Cultural Heritage interactions. Subproject 2, based in both Aalto University and in Helsinki Centre for Digital Humanities at the University of Helsinki, is specializing on the technology and implementation of the SuALT prototype. Subproject 3 works with ensuring the sustainability of SuALT at the Finnish Heritage Agency, the organization that will manage the database after the end of this project in 2021.
Classification of Medieval Documents
Authors: Dahllöf Mats
Published: October 2024

The present study is a comparative exploration of different classification tasks for Swedish medieval charters (transcriptions from the “SDHK” collection) and different classifier setups. In particular, we explored the identification of the issuer, place of issue, and decade of production. The experiments used features based on lowercased words and character 3- and 4-grams. We evaluated the performance of two learning algorithms: linear discriminant analysis and decision trees. For evaluation, five-fold cross-validation was performed. We report accuracy and macro-averaged F1 score. The validation made use of six labeled subsets of SDHK combining the three tasks with Old Swedish and Latin. Issuer identification for the Latin dataset (595 charters from 12 issuers) reached the highest scores, above 0.9, for the decision tree classifier using word features. The best accuracy for Old Swedish issuer identification was 0.81. Place and decade identification produced lower performance scores for both languages. Which classifier design is the best one seems to depend on peculiarities of the dataset and the classification task. The present study does however support the idea that text classification is useful also for medieval documents characterized by extreme spelling variation.
Digging Deeper into the Finnish Parliamentary Protocols
Authors: Kettunen Kimmo , La Mela Matti
Published: October 2024

This paper analyses the protocols of the Parliament of Finland 1907–2000. They have been digitised and published as open data by the Finnish Parliament in 20181. In the analysis we use a novel tool, a semantic tagger for Finnish – FiST [1]. We describe the tagger generally and show results of seman-tic analysis both on the whole of the parliamentary corpus and on a small subset of data where everyman’s rights (a widely used right of public access to nature) have been the main topic of parliamentary discussions. Our analysis contributes to the understanding of the development of this “tradition” of public access rights, and is also the first study utilizing the Finnish semantic tagger as a tool for content analysis in digital humanities research. Keyword search shows first that that the discussion of everyman’s rights has had three different peak peri-ods in the Finnish Parliament: 1946, 1973, and 1992. Secondly, the contents of the discussions have different nature for all the periods, which could be clearly detected with FiST and keyness analysis.
Exploring the Potential of Bootstrap Consensus Networks for Large-scale Authorship Attribution in Luxdorph’s Freedom of the Press Writings
Authors: Meier Florian , Larsen Birger , Stjernfelt Frederik
Published: October 2024

Authorship attribution (AA) is concerned with the task of finding out about the true authorship of a disputed text based on a set of documents of known authorship. In this paper, we investigate the potential of Bootstrap Consensus Networks (BCN) – a novel approach to generate visualizations in stylometry by mapping similarities of authorial style between texts into the form of a network – for large-scale authorship attribution tasks. We apply this method to the freedom of the press writings (Trykkefrihedsskrifter), a corpus of pamphlets published and collected in Denmark at the end of the 18th century. By conducting multiple experiments, we find that the size of the constructed networks depends heavily on the type of variables and distance measures used. Furthermore, we find that, although a small set of unknown authorship problems can be solved, in general, the precision of the BCN method is too low to apply it in a large-scale AA scenario.
Linked Open Data Vocabularies and Identifiers for Medieval Studies
Authors: Burrows Toby , Brix Antoine , Emery Douglas , Fraas Arthur Mitchell , Hyvönen Eero , Ikkala Esko , Koho Mikko , Lewis David , Myking Synnøve , Page Kevin , Ransom Lynn , Cawlfield Thomson Emma , Tuominen Jouni , Wijsman Hanno , Willcox Pip
Published: October 2024

This paper examines the use of Linked Open Data in the research field of medieval studies. We report on a survey of common identifiers and vocabularies used across digitized medieval resources, with a focus on three internationally significant collections in the field. This survey has been undertaken within the “Mapping Manuscript Migrations” (MMM) project since 2017, aimed at aggregating and linking disparate datasets relating to the history of medieval manuscripts. This has included reconciliation and matching of data for five main classes of entities: Persons, Places, Organizations, Works, and Manuscripts. For each of these classes, we review the identifiers used in MMM’s source datasets, and note the way in which they tend to rely on generic vocabularies rather than specialist medieval ones. As well as discussing some of the major issues and difficulties involved in conceptualizing each of these types of entity in a medieval context, we suggest some possible directions for building a more specialized Linked Open Data environment for medieval studies in the future.
Curatr
Authors: Greene Derek , Wade Karen , Leavy Susan , Meaney Gerardine
Published: October 2024

The increasing availability of digital collections of historical texts presents a wealth of possibilities for new research in the humanities. However, the scale and heterogeneity of such collections raises significant challenges when researchers attempt to find and extract relevant content. This work describes Curatr, an online platform that incorporates domain expertise and methods from machine learning to support the exploration and curation of large historical corpora. We discuss the use of this platform in making the British Library Digital Corpus of 18th and 19th century books more accessible to humanities researchers.
Deep learning for paleographic analysis of medieval Hebrew manuscripts
Authors: Vasyutinsky Shapira Daria , Rabaev Irina , Kurar Barakat Berat , Droby Ahmad
Published: October 2024

Our research project is part of the Visual Media Lab, headed by Professor Jihad El-Sana, the Department of Computer Science at BenGurion University of the Negev, Israel. In this interdisciplinary project we apply deep learning models to classify script types and sub-types in medieval Hebrew manuscripts. The model incorporates the the techniques and databases of Hebrew paleography and (with reservations) Hebrew codicology. Main theoretical base of our project is the SfarData dataset, that includes the full codicological descriptions and paleographical definitions of all dated medieval Hebrew manuscripts till the year 1540. In some exceptional cases, we go beyond this dataset framework. The major source of the data in terms of high definition photos of manuscripts is the Institute of Microfilmed Hebrew Manuscripts at the National Library of Israel that has undertaken the mission to collect copies of all extant Hebrew manuscripts from all over the world. We mostly use manuscripts from the National library of Israel, the British library, and the French National library. This multidisciplinary project brings together researchers from both fields, Humanities and Computer Science. Currently, one professor, one lecturer, one post-doc, and two doctoral students are participating in the project. This is a very exciting work in which there are no ready-made solutions for the various challenges. We collectively discuss ways to address these challenges and adapt our solution on the go. During the presentation, we will talk about how our project functions and how we strive to achieve a common result. The inevitable difficulties that we face during this collaboration include, inter alia, different research systems in Humanities and in Computer Sciences, lack of common terminology, different technical training, different requirements for publications and conferences, etc.
Healthy Food Depiction on Social Media
Authors: Kāle Maija , Agbozo Ebenezer
Published: October 2024

This food computing study analyzes Twitter microblog entries related to food. A particular attention here is paid to one specific healthy food – kale. Such an approach is chosen due to kale’s popularity as a healthy food. By applying sentiment measurement, authors contribute to the understanding of text-based stories behind healthy food, and conclude that kale offers clear benefits for consumers via its specific health-related aspects (anti-inflammatory, immune system boosting, etc.) while taste is being left outside the discourse. The lack of any references to taste in kale-related social media stories leads to the conclusion that healthy food descriptions in general are short of hedonistic manifestations. Subsequently, this can be seen as one of the drawbacks of healthy food presentation textually vis-a-vis comfort foods. With this study authors add to the knowledge of the most efficient methods in shaping healthier consumer behaviors and inspire for further research of text-based information related to food.
Arctic Visible
Authors: O’Dochartaigh Eavan
Published: October 2024

This paper describes progress of the ongoing postdoctoral project ARCVIS. The project is funded by a two-year individual fellowship from Marie Skłodowska-Curie actions (2019-2021). ARCVIS gathers, maps, and disseminates representations of Indigenous peoples in the western Arctic (Greenland, Canada, Alaska) between 1800 and 1880. The material is comprised of watercolours, pencil sketches, photographs, and prints, such as lithographs, woodcuts, and engravings. The visual material is scattered in archives around the world and this project’s aim is to gather that material together and display it geographically, linked to its places of origin in the Arctic. A key element of this project is the collation and interpretation of the material through an open access online geospatial platform, which combines the visuality of exploration and travel with digital methods that seek to bring out the richly contextual information often bypassed in visual documentary records. The project will present the peopled western Arctic that was encountered by ‘explorers.’ Through the analysis of picture and text in archives and published lnineteenth-century texts, it will strive to give ‘voice’ to the Indigenous people who were key to the success or failure of expeditions from the south. The project challenges the common outsider perception of the Arctic, which is often seen as an empty, icy region, devoid of human populations. Due to the COVID-19 pandemic, it has not been possible to include ‘new’ archival sources and the online platform will now only use images and texts available online and in the public domain.
Linked Data for Digital Humanities Scholars and Researchers
Authors: Bojārs Uldis , Rašmane Anita , Goldberga Anita
Published: October 2024

This paper presents the Linked Digital Collection “Rainis and Aspazija” that demonstrates the use of Linked Data in Digital Humanities. This collection offers interlinked digital objects and data from several memory institutions and private repositories related to two Latvian poets of the period of National Awakening – Rainis and Aspazija. The paper also describes the semantic annotation tool developed for cultural heritage needs that was used to create annotations in this collection. Digital object annotations are the source of links between collection’s digital objects and the entities mentioned in these annotations. Information about collection’s objects and entities is published as Linked Open Data facilitating reuse of this information.
Snippets of Folk Legends
Authors: Skeppstedt Maria , Domeij Rickard , Skott Fredrik
Published: October 2024

A topic modelling tool was adapted to requirements for a collection of Swedish folk legends. To offer an overview of a list of folk legend texts, which had been automatically extracted by the topic modelling tool, snippet text versions of the folk legends were displayed. The snippets were constructed from the full-text versions of the legends using the sentences most relevant to the topics extracted by the topic modelling algorithm. In addition, collection-adapted data was constructed for performing a pre-processing of the folk legend texts, before they were submitted to the topic modelling algorithm. This data consisted of a collection-adapted stop word list and word lists for improving the quality of clusters of semantically similar words.