bluuebunny/crossref_metadata_2025 huggingface dataset:
Perfil de distribuição epidemiológica da toxoplasmose gestacional no município de Porto Nacional–TO e microrregiões, entre os anos de 2018 a 2023
Authors: Lopo Sthefany Macedo , Coelho Gabriel Jhomilson Rodrigues , Leão Gabriel Rosa , Gosch Carina Scolari , Gomes Wegila dos Santos , Callegaro Ana Carolina Negre , Bezerra Ana Gabriella Costa Sá Neres , Paixão Nicolli Alves
Published: December 2024

Introdução: A toxoplasmose é uma doença infecciosa zoonótica de alcance global, causada pelo protozoário intracelular “Toxoplasma gondii”, que pode ser adquirida pelo consumo de carne crua ou malpassada, ou por contato com água e alimentos contaminados por fezes de gatos infectados. Durante a gestação, a infecção materna pode resultar na transmissão vertical para o feto, especialmente perigosa nos primeiros estágios da gravidez, levando a complicações como coriorretinite, calcificações intracranianas e hidrocefalia. Objetivo: O presente estudo tem como objetivo identificar e analisar os casos de Toxoplasmose Gestacional na região de saúde de Amor Perfeito, em Porto Nacional, TO, entre os anos de 2018 a 2023.  Metodologia: Trata-se de um estudo epidemiológico de abordagem quantitativa e descritiva, com a coleta de dados por meio das fichas de notificação de agravos registradas no Sistema de Informação de Agravos de Notificação (SINAN), no período delimitado. Resultados e discussão: A maioria das gestantes acometidas estava na faixa etária de 25 a 29 anos (29%), sendo predominante entre mulheres pardas (66%). Quanto à escolaridade, 37% dos registros estavam como "ignorado", e a maioria das notificações (95%) ocorreu na zona urbana, principalmente em Porto Nacional (97%). Clinicamente, registrou-se maior ocorrência no segundo trimestre de gestação (35%). Em relação à evolução dos casos, 91% das gestantes apresentaram cura ou melhora, sem registros de óbitos. A confirmação diagnóstica foi majoritariamente por exames laboratoriais (89%). Conclusão: Os resultados sugerem que, apesar da alta taxa de cura, as medidas preventivas, como orientações no pré-natal, precisam ser fortalecidas.
Atenção de enfermagem no levantamento dos determinantes de saúde da população. Vila-Matilde, Malanje – Angola. Outubro-Dezembro 2021
Authors: Gonçalves Mateus Ferreira Alfredo , Anjos Rodeth dos , Nobre Simão , Gonçalves Maura Fernanda Inácio Romão , Valentim Eduardo Ekundi
Published: December 2024

A Atenção Primária à Saúde (APS) é a principal entrada ao sistema de saúde, e caracteriza-se por acções individuais e colectivas, voltadas a promoção e  protecção da saúde. A função do Enfermeiro é garantir a implementação da APS nos diferentes espaços sociais e em todas as fases do ciclo vital. Objectivo: Levantar os determinantes do estado de saúde da população do Bairro da Vila-Matilde-Malanje-Angola. Outubro-Dezembro 2021. Método: Tratou-se de um estudo de observação descritivo transversal, do qual participaram nove agregados familiares oriundos de um universo de 1. 234 pessoas, seleccionados pelo método de amostragem por conveniência.  Para o levantamento dos determinantes foi empregue o Processo de Atenção de Enfermagem para às famílias, com recurso à entrevista semi-estruturada por meio de um inquérito por questionário e observação sistemática durante as visitas domiciliárias, pelos estudantes do 5º ano do curso de Enfermagem. Resultados: 66 indivíduos foram incluídos no estudo, 38 masculinos e 28 femininos. A composição média dos agregados familiares foi de 7 indivíduos, com idades entre 0-60 anos, e predomínio da faixa etária dos 20-35 anos (24.2%). Com o nível educacional de ensino primário (40,9%), (22,7%) das pessoas fazem má deposição do lixo, (72,7%) consome álcool e um número de crianças em idade vacinal não tinham a vacinação completa (78,6%). Conclusões: Existe factores de risco à saúde, onde a identificação e priorização dos principais problemas, os estudantes desenvolvem acções para a resolução e/ou mitigação do mesmo. Este trabalho põe em evidência a participação dos estudantes de Enfermagem na resolução dos problemas de saúde das famílias.
Pulp stones in intact teeth: a study in 5616 medical records
Authors: Souza Patrícia Oliveira de , Samuel Renata Oliveira , Argondizzi Gabriela Teixeira , Miranzi Benito André Silveira , Borges Gilberto Antônio , Borges Luis Henrique , Cintra Luciano Tavares Angelo , Júnior Carlos Paulino dos Santos , Reis Cleisla Caroline Maria , Pereira Matheus Lima , Pereira Sanivia Aparecida de Lima
Published: December 2024

Considering the possible correlation of pulp stones (PS) with systemic diseases, the present study aimed to assess the prevalence of PS in healthy teeth and to associate it with age, sex, and systemic changes such as hypertension, diabetes and smoking. To this end, panoramic digital radiographs of individuals aged 9-75 years, from the Getúlio Vargas Dental Polyclinic University of Uberaba, Brazil were evaluated. Patients with PS in teeth with restorations and/or dental cavities, just like patients undergoing orthodontic treatment, or with a history of mechanical trauma and bruxism were excluded. There were analyzed 5616 medical records. In this way, PS were observed in 263 patients and 96 of these patients had at least one PS in healthy teeth. Of the patients with PS in intact teeth, 64,6% were female and 35.4% were male. All teeth with PS were molars. Of the 96 patients with PS in intact teeth, 50% had PS in only one tooth; 27.1% had PS in two teeth; 13.6% had PS in three teeth; 6.3% had PS in four teeth; 1.0% had PS in five teeth; and 2.1% had PS in six teeth. Patients with hypertension presented with a higher frequency of PS in three or four teeth (p =0.0021). PS in one or two teeth was more prevalent in smokers (p = 0.005). The results suggest there is a positive association between the presence in three or more teeth with PS and arterial hypertension, and in one or two teeth with PS with smoking.
Avaliação da saúde mental e qualidade de vida em estudantes de enfermagem de uma universidade pública
Authors: Nunes Fernanda Daniela Dornelas , Marques Ingrid Vitório , Ávila Letícia Pimenta , Marques Mariana de Souza , Januário Gabriela da Cunha , Santos Alisson Junior dos , Peixoto Janaíne Aparecida , Rosa Walisete de Almeida Godinho
Published: December 2024

Estima-se que a depressão impacta mais de 6% dos brasileiros e 9% são afetados com distúrbios associados a ansiedade, com propensão ao surgimento dos sinais e sintomas no início da fase adulta. Com isso, o presente estudo objetivou rastrear sinais e sintomas de ansiedade e depressão, e avaliar a qualidade de vida em adultos jovens matriculados regularmente no curso de enfermagem de uma universidade pública de um município no interior de Minas Gerais. Para tanto, procedeu-se à um estudo observacional, descritivo e transversal. Realizado em uma instituição de ensino superior pública credenciada ao Ministério da Educação localizada no interior de Minas Gerais, Brasil, no período de agosto a setembro de 2023. Participaram do estudo 41 acadêmicos.  Desse modo, os dados permitiram apresentar que conforme a avaliação da gravidade dos sintomas de ansiedade generalizada, 30% dos estudantes foram classificados com sintomas graves e 20% com sintomas muito graves, e conforme a gravidade dos sintomas de depressão 26% dos estudantes foram classificados com sintomas moderadamente graves e graves. Ao analisar o questionário sobre Qualidade de Vida aplicado aos acadêmicos, observou-se na somatória dos domínios que 17,9% necessitam melhorar a qualidade de vida, visto que nenhum participante pontuou para a qualidade de vida muito boa. Contudo, foi possível concluir que uma parcela significativa dos acadêmicos de enfermagem na fase adulto jovem apresenta sinais preocupantes de ansiedade e depressão, que sugerem um impacto negativo na qualidade de vida dessa população.
Aspectos clínicos que podem interferir na reagudização de alterações periapicais (flare-up: revisão de literatura)
Authors: Souza Alynne Cecillia Vieira de , Martins Helena Maria Calaça , Costa Iana Maria Coutinho da , Pessoa Karolinne Dantas , Fonseca Tiago Silva da , Nunes Eduardo da Costa
Published: December 2024

O Flare-up é um termo característico utilizado para retratar edema e dor pós-operatória aguda que pode ocorrer após horas ou dias depois da intervenção endodôntica. Possui uma etiologia multifatorial e está associada aos fatores microbianos, mecânicos e químicos. O seguinte trabalho com intuito e objetivo de efetuar uma revisão de literatura acerca do tema proposto utilizou de uma revisão bibliográfica na plataforma PubMed utilizando-se as palavras-chave (endodontic) AND (flare-up). Foram utilizados os seguintes critérios para a inclusão: estudos publicados e indexados nos bancos de dados sem um período de tempo definido. Critérios de exclusão, publicações que não se enquadravam na temática proposta. É fundamental que se adotem medidas preventivas e a técnica apropriada para o preparo químico-cirúrgico durante a intervenção endodôntica, buscando assim evitar a ocorrência de dor aguda no período pós-operatório.
A exposição a telas e mídias sociais a população infantil e seu impacto no sono e na cognição: uma revisão integrativa da literatura
Authors: Fernandes Eduardo Lasmar , Porto Davi Palhares Rocha , Soares Gustavo Alexandre Dutra Braga , Araujo Laís Moreira Borges
Published: December 2024

As mídias sociais se tornaram parte integrante do cotidiano da maioria das pessoas, sendo utilizadas por crianças cada vez mais jovens. No entanto, o uso excessivo de telas exerce um impacto negativo no desenvolvimento neuropsicomotor infantil, podendo causar atrasos cognitivos, originar transtornos mentais e prejudicar o sono. Nesse contexto, a exposição a telas não é recomendada para crianças menores de dois anos, e deve ser limitada a, no máximo, uma hora por dia para crianças de dois a quatro anos. Esse estudo tem como objetivo uma revisão integrativa da literatura acerca dos impactos negativos do uso de telas, mídias e redes sociais na população infantil, dando ênfase no sono e na capacidade cognitiva. A busca bibliográfica foi realizada nas bases de dados EbscoHost, Google Scholar, Scielo (SciELO) e National Library of Medicne (Pubmed), com os seguintes descritores: “Cognição”; “Desenvolvimento infantil”; “Sono”; “Tempo de tela”; e se restringiu aos idiomas português e inglês. Foram analisados 11 artigos que se enquadraram nos parâmetros pré-estabelecidos. Os resultados revelaram que a exposição a telas e mídias sociais na infância podem impactar de forma negativa no desenvolvimento neuropsicomotor e em seu sono. Portanto, conclui-se que a exposição precoce e prolongada de crianças a telas, mídias sociais representa um risco significativo ao desenvolvimento neuropsicomotor, repercutindo negativamente na qualidade do sono, saúde mental e cognição.
موجهات العمالة ومحددات الدخل وتباينه داخل قطاعات سوق العمل بإمارة أبوظبي
Authors: عبدالله إبراهيم محمد
Published: December 2024

يرتكز هذا البحث على نظرية رأس المال البشري (human capital) والاستعانة بالبيانات التي يوفرها مسح الإنفاق الأسري لإمارة أبوظبي للعام 1997 في إجراء دراسة تطبيقية تناقش موجهات العمالة ومحددات الدخل داخل سوق العمل بدولة الإمارات العربية المتحدة، ممثلة في إمارة أبوظبي. تعتمد الدراسة على نموذجين في إجراء التحليل الإحصائي هما النموذج الاحتمالي (Probit Model) لدراسة موجهات العمالة، والنموذج الأساسي لمنسر (Mincerian Framework) لدراسة محددات الدخل، وذلك حسب الجنس ونوع قطاع العمل. وقد خلصت الدراسة إلى تأكيد انقسام سوق العمل في دولة الإمارات إلى قطاعين خاص وعام (يشمل القطاع الحكومي)، مع وجود محددات مختلفة للعمالة والدخل داخل كل قطاع. وأبرزت نتائج التحليل الدور الإيجابي للمستوى التعليمي للذكور في الحصول على وظائف القطاع العام خلافا للإناث، حيث يرتبط ازدياد مستواهن التعليمي بفرص عمل أكبر في القطاع الخاص. من النتائج الأخرى التي أبرزتها الدراسة أن مستويات الدخول للذكور والإناث في القطاع العام متقاربة بصورة عامة، أما في القطاع الخاص فإن مستوى دخل الذكور أعلى، مقارنة بالإناث.
Strategies for boosting national competitiveness through environnemental gouvernance
Authors: Djoumana Tehirichi , Zohra Belhoucine Fatima
Published: December 2024

The purpose of this study was to clarify the role played by environmental governance in enhancing a nation's competitiveness by addressing the main issue : How can a country increase its competitiveness through the adoption of environmental governance standards ? In order to answer this question, we employed a descriptive methodology to define the concepts related to the study's variables and an analytical approachto ascertain the nature of the relationship between environmental governance and competitiveness. This wasachieved by analyzing data and information concerning the extent of environmental governance implementation by nations and its subsequent impact on their competitiveness.
Our study produced a range of results, with the most significant ones being that environmental governance empowers countries to attain environmental justice and responsibility. Consequently, this fosters the attraction of foreign investment, stimulates domestic investment, promotes transparency, and combats administratifs and environmental corruption.
Reinventando futuros: a jornada de renovação do time PUC-SP/Enactus
Authors: Monteiro Amanda , Vicari Donata Marin , Moresi Enzo Fonseca , Zackiewicz Natália Marose , Krempser Yasmin Carvalho , Barros Neto João Pinheiro de
Published: December 2024

O Time PUC-SP/Enactus criado em 2018, mas foi extinto devido à falta de estrutura e liderança. Após reestruturação, o Time ressurgiu e lançou com sucesso o projeto Catavento para facilitar o acesso à educação. Contudo, com a pandemia, houve a necessidade de readequar o projeto, que não logrou sucesso, frustrando os membros e desacelerando o Time. Agravando a situação, veio a falta de coesão e estrutura. Não obstante, a situação gerou rico aprendizado que, após tentativas frustradas, levaram a mudanças organizacionais, com objetivo de criar um Time coeso, apaixonado e com identidade comum para impulsionar projetos de extensão focados em empreendedorismo social. Este é o relato de como o modelo de gestão do Time amadureceu, implementaram-se novas práticas e foram lançados novos projetos.
Enterolitiase em potro sobreano: relato de caso
Authors: Melo Ubiratan Pereira de , Ferreira Cintia
Published: December 2024

Os enterólitos são concreções formadas principalmente por fosfato de amônio e magnésio (estruvita), podendo causar obstrução em diferentes partes do cólon. Um potro macho da raça Quarto de Milha, com 14 meses, apresentou desconforto abdominal e cólicas intermitentes por cinco dias. O exame clínico revelou hipomotilidade intestinal e distensão abdominal moderada, levando ao diagnóstico de obstrução intestinal causada por enterolitíase. Apesar de terapia analgésica inicial, o potro não respondeu adequadamente, o que indicou a necessidade de intervenção cirúrgica. Devido a limitações logísticas e financeiras, foi realizada uma laparotomia à campo para remoção de um enterólito de formato irregular do cólon menor, com enterotomia e fechamento subsequente. Após a cirurgia, o potro recebeu tratamento com anti-inflamatórios e antibióticos, e ajustes alimentares foram feitos, incluindo a substituição do farelo de trigo por concentrado comercial e a interrupção da suplementação com alfafa. Nos 36 meses seguintes, o potro permaneceu sem sinais de dor abdominal, comprovando o sucesso do tratamento cirúrgico e cuidados pós-operatórios.
A study of ethnobotanical knowledge in Souk Ahras city, Algeria
Authors: Draiaia Radia , Amri Assia , Boubsil Soumaya , Necib Asma , Ketfi Louiza , Azzedine Chefrour
Published: December 2024

Ethnobotanical surveys were conducted in Souk Ahras, focusing on traditional knowledge of medicinal plants among local populations. Between 2021 and 2022, a total of 200 informants from the town center were interviewed using a combination of knowledge interviews and field visits. Data collected included socio-demographic information and traditional knowledge about medicinal plants and their uses. The survey revealed that 80 species of medicinal plants from 41 botanical families are utilized by traditional folk healers in the region. The most frequently represented families were Lamiaceae (12 species), Asteraceae (7 species), Apiaceae (7 species), and Fabaceae (4 species). Plant parts most commonly used include leaves (44%) and flowers (36%). Decoction (50%) was the predominant method of preparation, followed by infusion (26%). Artemisia herba alba Asso emerged as the most frequently cited species, with 76 citations, a high use value (UV=0.38), and a citation frequency (38%). The medicinal plants address a variety of ailments, with gastrointestinal disorders being the most common (84 species), followed by metabolic disorders (42 species), respiratory system diseases (39 species), and reproductive and sexual diseases (32 species). This study highlights the rich ethnomedicinal knowledge in the Souk Ahras region. The species identified, particularly those with high use value and frequency of citation, hold potential for further pharmacological research. The findings underscore the importance of traditional plant knowledge in addressing various health issues and contribute valuable insights for future studies.
Análisis de calidad del carbón de mezquite (Prosopis sp.), encino (Quercus sp.) y eucalipto (Eucalyptus sp.)
Authors: Patlán Edna Elena Suárez , Aquino Valeria Martínez , Prado Casimiro Ordoñez , López Martha Elena Fuentes , Ortiz Azucena Olvera
Published: December 2024

Un derivado importante de la industria forestal en México es el carbón vegetal, sin embargo, una problemática de las prácticas de producción es la obtención de un producto no estandarizado y de baja calidad, por tal motivo, el objetivo de esta investigación fue evaluar la calidad de tres especies maderables, dos productoras de carbón: mezquite (Prosopis sp.) y encino (Quercus sp.) y una como propuesta de uso: eucalipto (Eucalyptus sp.), bajo tres diferentes temperaturas y tasas de calor, con la finalidad de valorizar el eucalipto para este aprovechamiento. Se evaluaron variables experimentales: temperatura y tasa de calor y variables de respuesta: carbono fijo y volátiles (ASTM D 1762- 84). Como resultados; el de carbono fijo mostró que a temperatura de 500 °C se obtiene mayor contenido: 81.1 % (encino), 80.09 % (mezquite) y 81.39 % (eucalipto), mientras que a temperatura de 300 °C se obtuvo bajo contenido de carbono fijo: 65.8 % (encino), 64.2 % (mezquite) y 53.5 % (eucalipto), el rendimiento de material volátil, a menor temperatura (300 °C) se producen mayores contenidos de éste, 31 % (encino), 32.4 % (mezquite) y 46.2 % (eucalipto), sin embargo a mayor temperatura este contenido disminuye, a 500 °C se producen 15.3 % (encino), 14.7 % (mezquite) y 18.3 % (eucalipto). Por otro lado, la tasa de calor no tuvo efecto estadístico significativo sobre las variables. Se concluye que las variaciones de carbono fijo y material volátil en el carbón vegetal de las especies de estudio se encuentran relacionadas con la especie y la temperatura de pirólisis y respecto a las características evaluadas que presentan el carbón de mezquite y encino contra el de eucalipto, solo fue significativo el contenido de material volátil, por lo que se recomienda mayor temperatura de pirólisis para aprovechar la madera de eucalipto como carbón vegetal.
Impact of Glyphosate herbicide on blood parameters and selected tissues organs of rabbits (oryctolagus cuniculus)
Authors: Ati Samia , Djemil Randa , Khelili Kamel , Cherif Abdennour
Published: December 2024

Numerous studies have demonstrated that pesticides are toxic and harmful to human, animal, and environmental health. Glyphosate is the most widely used herbicide globally. This research aimed to assess the impacts of various dosages of glyphosate on rabbits. A total of 30 rabbits were divided into four groups: one control group and three treatment groups, with three concentrations of glyphosate selected as D1 (200 mg/kg/bw). The treatment groups were administered glyphosate at a dosage of 1 mL/day for 6 days per week over 4 weeks. The findings substantially reduced several hematological parameters, including hemoglobin, erythrocytes, leukocytes, hematocrit, and platelets. At the same time, the levels of white blood cells and lymphocytes increased significantly in all glyphosate-treated groups compared to the control group. Additionally, changes were observed in the liver, thymus, and kidney tissues, including alterations in hepatocyte cells, portal blood vessel congestion, inflammatory cell infiltration, and necrosis of sporadic hepatocytes.
Generative Artificial Intelligence and the Impact on Sustainability
Authors: Humble Niklas , Mozelius Peter
Published: December 2024

An increasingly popular subcategory of Artificial Intelligence (AI) is Generative AI (GAI), which encompasses technologies capable of creating new content, such as images, text, and music, often resembling outputs made by humans. The potential impact by GAI on sustainability is multifaceted. On the positive side, generative AI can aid in optimizing processes, developing innovative solutions, and identifying patterns in large datasets related to sustainability. This can lead to more efficient resource management, reduced energy consumption, and the creation of more sustainable products. However, there are also potential negative impacts, such as increased energy consumption associated with training and running generative AI models, as well as the potential for unintended consequences or biases in the generated content. Additionally, overreliance on generative AI may lead to reduced human oversight, which could undermine holistic, interdisciplinary, and collaborative approaches to sustainability. The aim of this paper is to explore the potential impacts on sustainability by generative artificial intelligence through a review of prior research on the topic.
The study was conducted with a scoping literature review approach to identify potential impacts by generative AI on sustainability. Data were collected through a search in the database Scopus during the spring semester of 2024. Keywords, relevant for the study, were combined with Boolean operators. Papers identified through the search underwent a manual screening process by the authors, in which papers were selected for inclusion or exclusion in the study based on a set of criteria. Included paper were then analyzed with thematic analysis, according to the guidelines by Braun and Clarke. A categorization matrix, based in prior research on sustainability, supported the analysis and deductive coding of collected data. Results of the study highlight generative AI’s potential impact on sustainability that relate to both environmental aspects, economic aspects, and social aspects of sustainability. These different aspects of sustainability impact make this research an important contribution for deepening the understanding of generative AI and its potential consequences for society. Findings of the study provide theoretical contribution, implications for practice, and recommendations for future research on generative AI and sustainability.
Educating the Educators on Generative Artificial Intelligence in Higher Education
Authors: Mozelius Peter , Håkansson Lindqvist Marcia , Martha Cleveland-Innes , Jaldemark Jimmy , Sundgren Marcus
Published: December 2024

In the current spring of Artificial Intelligence, the rapid development of Generative AI (GenAI) has initiated vivid discussions in higher education.  Opportunities as well as challenges have been identified and to cope with this new situation there is a need for a large-scale teacher professional development. With basic skills about GenAI teachers could use the new technology as an extension of the existing technology enhanced teaching and learning. The aim of this paper is to present and discuss the project FAITH (Frontline Application of AI and Technology-enhanced Learning for Transforming Higher Education). FAITH is a higher education pedagogical development initiative for institutional development for teachers with good fundamental skills in traditional pedagogy.  A project with the overall objective of increasing the staff understanding of AI and to develop new competencies in the field of GenAI and technology enhanced learning. The research question that guided this study was: "What are the perceived opportunities, challenges and expectations of involving GenAI in higher education?" The overall research strategy for the FAITH project is design-based research, which involves iterative and cumulative development processes. In the early iteration that this study was a part of has been carried out inspired by Collective Autoethnography where members of the steering group behind the FAITH project, and members of the project team have constituted the main focus group. Data were collected by structured interviews where two GenAI tools also have been interviewed. Findings show that the expectations are high, but that the FAITH ambition of institutional development is depending on teachers’ motivation for taking an active part in the project. Another challenge could be that many teachers see GenAI as something that threatens the current course design, and that a general ban of GenAI is the appropriate solution. One of, several identified opportunities, is that a general revision of syllabi and assessment in an adaptation for GenAI enhanced learning would improve the current course design.
Adopting Artificial Intelligence in Organisations: A Closer Look
Authors: Albanese Massimo
Published: December 2024

Artificial intelligence (AI) is increasingly being adopted in different types of organisations and is attracting the attention of various actors. In this context, the analysis aims to provide an overview of the most relevant aspects of the adoption of AI technology solutions in organisations. To this end, the analysis adopted the archival research method and carried out a study of recent documents/analyses proposed by leading consulting firms. These players accumulate considerable application knowledge and are, therefore, special sources. To provide an in-depth and up-to-date picture, the analysis considered a range of archival information (such as reports, articles, insights, technical notes, etc.) published by around 15 organisations in the consulting sector since the beginning of 2023. The study highlights the main opportunities/risks associated with the introduction of AI. The findings cover various aspects, including AI investments, classification of organisations adopting AI, main challenges in AI initiatives, most common areas of AI use, and changes in work. The results may have some limitations due to bias in the identification of documents, as they were derived from direct searches and queries on the search engines of the consulting firms' websites. The audience and implications are broad, and this is a value of the work. AI novices studying the adoption and implementation of AI have a picture of the relevant dimensions on which further in-depth studies can be developed. In addition, entrepreneurs, managers, and policymakers will have an overview of the main threats/opportunities of AI and elements to support decision-making.
Play my thesis
Authors: Humble Niklas
Published: December 2024

The field of Artificial Intelligence (AI) has gained increased attention since the release of ChatGPT in late 2022. Following the popularity and wide application, several generative AI (GAI or GenAI) tools have been released, with capabilities of generating novel content such as text, images, audio, and video. Previous research has noted both opportunities and limitations with GAI for various fields. One field with high potential impact is the game industry and the subfield of serious games, where the purpose of the game extends that of pure entertainment. GAI could play an important role for design and development of serious games, where design teams are typically smaller (compared with big commercial games), and competences in game mechanics, graphics and other game resources can be limited. This paper explores the opportunities and limitations of GAI tools to support development of serious games. This is done through the development of a serious game, based on the author’s PhD thesis, where various GAI tools are used to generate game content such as in-game dialogue, graphics, and audio. Development of the game artefact, which is named ‘Computer Programming in Schools’, follows the process of a design science research (DSR) project where emphasis is placed on the design in one iteration of development. The author’s experiences of utilizing GAI tools during the development of the game were recorded in a researcher diary, together with screenshots and images from the game. In this paper, these experiences are discussed and compared to related research in order to seek the most salient opportunities and limitations for GAI to support design and development of serious games. The paper provides several hands-on examples of design and development of a serious game with GAI tools and concludes with a set of recommendations for the future use of GAI in game development.
Artificial Intelligence and its Role in Legislative Practices
Authors: VACARELU MARIUS
Published: December 2024

One of the most significant challenges faced by the average person is understanding the general context of the legislation that applies to them. The legal discipline has certain characteristics that make it almost esoteric for those who are not part of it, however, it is necessary to know the legal norms as comprehensively as possible. People today are no longer just "from a village/town/province/country", but have become something almost universal within the frameworks of globalization and the vast library the Internet offers at nearly zero cost.
Artificial intelligence (AI) is a technology that is beginning to fundamentally change society, and within this "sea of transformations", the law – and legal and political practices in general – cannot avoid contact and change. There is no area of law not being altered, but in my opinion, the most significant place where transformations will be recorded is in legislating and drafting normative acts.
Legislative operations are always complex and rarely bring satisfaction to those subject to regulation, given the relationship between the rights and obligations set out by normative acts. At the same time, it is challenging to legislate in an increasingly complex society, where enduring and situational interests intersect, where there are poor-quality mechanisms in legal documentation, and where the concept of legality is not always correctly perceived in the political environment. AI should offer a greater understanding of legal concepts to both ordinary citizens and legislators, precisely through its extensive library and its demonstrated synthesis and analysis capabilities.
Therefore, the use of AI in the legislative process will become increasingly necessary as its capabilities grow, primarily to produce faster syntheses of legal documentation, essential for correctly understanding the context that justifies the need for new legislation. I believe that in the coming years, no country will escape this change, and AI will help eliminate some of the poor-quality practices that do not offer countries and citizens better prospects for wealth and professional development.
Exploring Student Perspectives on Generative AI in Requirements Engineering Education
Authors: Nicklas Mellqvist  , Mozelius Peter
Published: December 2024

The rapid development of generative AI (GenAI) technologies in recent years has enabled new opportunities as well as new challenges in higher education. While many studies in computer science have focused on GenAI in programming education, fewer have examined its possibilities and challenges in requirements engineering (RE). This study aims to explore the impact of GenAI on the pedagogical aspects of RE in higher education, focusing on the student perspective, to analyse how GenAI might influence learning experiences, knowledge acquisition, and skill development. The main research question to answer was: "What are the students’ perspectives of the integration of GenAI in the educational practices of requirements engineering?" An Action research strategy was employed, with one of the authors also serving as teacher in the investigated course. A mixed-methods approach was used to collect both qualitative and quantitative data from workshops and surveys. During the workshops, students used ChatGPT to generate and evaluate software requirements and compared these to manually crafted requirements. Thematic analysis of the qualitative data captured students’ perspectives, while survey data identified trends and preferences. Findings show that while students generally had a positive experience with GenAI, valuing its efficiency and the quality of generated requirements, they also recognized the need for human oversight to maintain accuracy. The study highlights both opportunities and challenges of using GenAI in RE education. While GenAI increased learning engagement and helped with brainstorming, students faced difficulties in creating effective prompts and found it time-consuming to refine AI-generated requirements. A hybrid approach, combining AI-generated and manually created requirements, proved most effective by balancing AI's advantages with human insights. Further research is needed on how GenAI could be effectively integrated into computer science education.
Ecosystem Theory and the Adoption of Artificial Intelligence in SMEs
Authors: Nolan Steve , Zyglidopoulos Stelios
Published: December 2024

Given the various risks involved in incorporating artificial intelligence (AI) and machine learning into their business operations, firms are at an inflection point about how to do so. In this paper, we propose that for small medium-sized enterprises (SMEs), which lack capital, large quantities of data, and expertise, the best solution would be to join a pre-existing (or developing) ecosystem.  From the two potential alternatives available to an SME, going it alone or depending on a larger corporation, we argue for a third option, the joining of an ecosystem of organizations that use AI systems in their operations, as the golden mean. We conclude with some practical and theoretical implications.
Security and safety concerns in the age of AI
Authors: Ourzik Victoria Yousra
Published: December 2024

Artificial Intelligence (AI) is transforming industries at an astonishing rate, reshaping how we live, work, and interact with technology. Yet, as AI becomes more pervasive, it brings urgent questions about security and safety. This article explores these critical issues, drawing a clear distinction between AI security and AI safety—two concepts that are often misunderstood but are crucial for responsible AI deployment. AI security focuses on protecting systems from external threats like data breaches, adversarial attacks, and unauthorized access. As AI systems increasingly handle sensitive data and control critical operations, securing them against such risks is essential. A breach or failure could compromise not only privacy but also the integrity of critical infrastructures. On the other hand, AI safety extends beyond technical defenses to the broader societal implications of AI. Issues like algorithmic bias, ethical decision-making, and unintended consequences of AI systems highlight the risks to human well-being. As AI becomes more autonomous, its alignment with human values and societal norms becomes paramount. Furthermore, the existential risks posed by advanced AI—such as loss of control or unintended outcomes—raise profound questions about the future of human-AI coexistence. This article delves into real-world case studies of AI failures and near-misses, offering tangible insights into the potential consequences of unchecked AI growth. It also explores strategies for mitigating these risks, balancing the pursuit of innovation with the need for transparency, accountability, and ethical oversight. As we look to the future, international cooperation and robust regulatory frameworks are essential to managing AI’s growing influence. By examining both technical and ethical dimensions, this article equips readers with a comprehensive understanding of AI security and safety, urging a proactive approach to managing the risks and harnessing the potential of this powerful technology.
The new era of Technology Mysticism: Generative Artificial Intelligence and its effects
Authors: Böhm Karsten , Sammet Jürgen
Published: December 2024

Generative Artificial Intelligence (GenAI) started to disrupt many application areas in the domain of information technology and is developing at a rapid pace. GenAI exhibits different systemic characteristics, it is a trained technology as opposed to the engineered technologies that have been developed in the IT domain in the past. As trained technologies are heavily depending on huge amounts of training data, their behaviour is not deterministic but of a stochastic nature, leading to a limited understanding of those systems.  their behaviour is emergent. Assumptions and beliefs in the abilities of technologies by their users create a new age of mysticism that can be compared with our past and the relation of people in medieval times to the age of Mysticism with respect to their understanding of nature and their surroundings. We are facing AI today like our ancestors faced incomprehensible natural phenomena. This article is discussing the resulting effects from a technical but also from a philosophical perspective.
Online Managerial Tools as Research Tools to Apply Artificial Management: Results of Research
Authors: Flak Olaf
Published: December 2024

Artificial intelligence (AI) can augment human intelligence in teamwork, however, it is still not clear how to implement artificial management. This rapid development of computer science gives opportunities to replace team managers with robots. However, it is still not possible to employ a robot in a managerial position. Therefore, the aim of this paper is to present a theoretical foundation for such an information system which could be widely used by human managers in their day-to-day work. At the same time, it could collect data on managerial work in order to implement artificial management. The research problem concerns the theoretical assumptions needed to design this solution. Two research questions arise from this research problem: (RQ1) What types of research methods should be used to collect data on managerial work? (RQ2) How to implement research methods into the managerial tools to make the managerial work automated? The research methods used in the paper are: literature studies, technical documentation of online managerial tools created by the author, and a long-term observation of human-managed teams. In Section 2 we present the theoretical foundation of research in management science which is the answer to the first research question (RQ1). Section 3 contains the theoretical assumption of the information system design which is the answer to the second research question (RQ2). In Section 4 we present examples of research conducted by the author as the practical use of answers to both research questions (RQ1 and RQ2). Section 5 includes conclusions on the use of the information system in artificial management. The main contribution of this paper is as follows: Firstly, to answer the first research question (RQ1) about the types of research methods which should be used to collect data on managerial work in order to make them automated. The answer is the mixed method as the most appropriate method to study what a manager really does. Secondly, the paper contains the answer to the second research question (RQ2) on ways of implementing research methods into the online managerial tools aimed at artificial management.
Generative AI Learning Environment for Non-Computer Science Engineering Students: Coding Versus Generative AI Prompting
Authors: Robert Alphinas  , Torben Tambo
Published: December 2024

This paper addresses the need for a positive and effective learning environment for engineering students in non-computer science fields to grasp Generative AI principles while navigating the intricate balance between its application and developmental insights. Drawing from pedagogical theories and cognitive science, especially Leinenbach and Corey (2004)’s Universal Design for Learning, this study proposes a framework tailored to the unique needs and backgrounds of engineering students. The framework emphasizes active learning strategies, collaborative problem-solving, and real-world applications to engage learners in meaningful experiences with Generative AI concepts. The central learning context is a M.Sc. program in management engineering with a course/training opportunity in Machine Learning Fundamentals using Python based on Google Collab. The introduction of Generative AI is based on selected Google libraries for Python. Furthermore, this paper explores various instructional approaches and tools to scaffold students' understanding of Generative AI, including hands-on projects, case studies, and interactive simulations. It also addresses ethical considerations and societal implications associated with Generative AI deployment, encouraging students to critically reflect on the broader impacts of their technical decisions. Through a synthesis of pedagogical best practices and AI development principles, this paper contributes to the ongoing discourse on effective AI education for non-computer science disciplines. By embracing a holistic approach that integrates theory with practical application, educators can empower engineering students to harness the transformative potential of Generative AI while navigating its complexities responsibly and ethically.
THE RELATIONSHIP FAMILY SUPPORT AND BLOOD SUGAR LEVELS IN DIABETES MELLITUS SUFFERERS TYPE 2
Authors: Azahra Disa Dwi , Roni Yunisman , Nopriadi
Published: December 2024

Introduction: Type 2 diabetes mellitus (Type 2 DM) is a chronic disease whose prevalence continues to increase globally, including in Indonesia. Diabetes management requires family support which plays an important role in controlling the sufferer's blood sugar levels. Objective: The purpose of this study is to determine how blood sugar levels and family support relate to Type 2 DM patients at the Simpang Tiga Pekanbaru Community Health Center. Methods: This study was conducted at Simpang Tiga Health Center Pekanbaru using cross-sectional method and correlational design. Sampling was done by purposive sampling by selecting 97 people with type 2 diabetes mellitus as samples. Glucometer was used to test blood sugar levels and Hensarling Diabetes Family Support Scale (HDFSS) questionnaire was used to measure family support. Fisher Exact Test statistical technique was used for data analysis. Results: Of 97 respondents, 51 (52.6%) had DM for less than 10 years, and 46 (47.4%) for more than 10 years. Additionally, 53.6% of respondents reported good family support, while 61.9% had uncontrolled blood sugar (>200 mg/dL). Fisher Exact Test showed a significant relationship between family support and blood sugar levels (p=0.037). Conclusion: Blood sugar levels in people with Type 2 DM are significantly correlated with family support. The best possible family support will help control blood sugar levels and avoid problems from diabetes.
Monitoring of developmental defects in deceased children and fetuses in the Omsk Oblast
Authors:   Omsk State Medical University, Omsk, Russia, Антонова И. В. , Антонов О. В. ,   Omsk State Medical University, Omsk, Russia, Турчанинов Д. В. ,   Omsk State Medical University, Omsk, Russia, Терлоева К. С-А. ,   Omsk State Medical University, Omsk, Russia, Казанцева Е. С. ,   Omsk State Medical University, Omsk, Russia
Published: December 2024

The article presents the dynamics of the overall indicator and the structure of the entire spectrum
of malformations in deceased, stillborn children and fetuses eliminated for medical reasons in the Omsk Oblast from 2009 to 2023. Absolute values are determined and indicators of the overall frequency of malformations
are calculated in three observation groups: in fetuses; in stillborn children; in live-born children who died
after birth up to and including 17 years of age. With a moderate tendency to increase, the weighted average (cumulative) indicator of the frequency of malformations was 5.5 ± 0.11 per 1,000 pregnancies. The structure is dominated by defects incompatible with life in the circulatory system (22.0 ± 0.65 %), central nervous system (19.1 ± 0.61 %) and musculoskeletal system (14.9 ± 0.56 %). The rate of malformations showed the most pronounced upward tendency in the “Chromosomal abnormalities” group (16.6; p < 0.05). A pronounced downward tendency is observed in the “Genital malformations” and “Pulmonary airway malformations” groups. The entire set of malformations showed a moderate upward tendency in the rate of malformations (3.65; p < 0.05). The study of the dynamics of the rate and structure of malformations in fetuses, stillborn children and deceased children, in addition to monitoring malformations in live-born children, allows obtaining the most complete data for further objective assessment of the effectiveness of prenatal diagnostics and the system for
preventing the birth of children with potentially life-threatening malformations.
Medical and SPA tourism and rheumatic diseases – challenges and future perspective.
Authors: Dimitrov Ilin
Published: December 2024

In recent years, the concept of "medical tourism" has become popular, due to the increasing interest of governments in search of new sectors for sustainable growth. This trend guarantees an improvement not only of the services offered, but also a significant boost in the socio-economic and political relations between the individual countries. This paper presents a historical overview, challenges and future perspectives for the  development of the “medical and spa” tourism sector in the coming years. By providing critical evaluation, this research identified 3109 publications, of which we selected only 11 that met the additional criterion of association with rheumatic and musculoskeletal diseases. In light of existing literature, the number of publications showing the contribution of spa and medical trourism, as well as physical therapy, in the treatment of rheumatic diseases has significantly increased. The presence of a great number of mineral springs on the territory of Bulgaria and Romania makes them competitive with the already famous resorts in Germany, Austria and Czech Republic. The present research focus on the current state of medical and spa tourism is based on published scolarly articles and data obtained from different soures as well as the websites of the Ministry of tourism of Bulgaria and websites of the resorts.