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As necessidades de letramento informacional com estudantes universitários
Full text linkIntroduction: This article investigated the information profile of higher education students, focusing on their information needs and the impact of information literacy. The objective was to identify how these needs can be met to develop effective literacy strategies. Methodology: The research was conducted with Agroecology and Physics students from a technical and higher education institution in Acre, through anonymous questionnaires that collected data on their research practices and use of information sources. Results: The results show that, although many students are familiar with search tools such as Google Scholar, there is a significant lack of knowledge about specialized databases and citation standards, which compromises the quality of research. Most students are not familiar with the critical evaluation of sources, essential skills in the contemporary information environment. Conclusion: The study concludes that there is an urgent need to integrate information literacy into academic curricula. Training and workshops are recommended to enable students to locate, evaluate, and use information critically and ethically. Differences between courses highlight the importance of approaches tailored to the specific needs of each area of study. Investing in information literacy is crucial to preparing students for academic and professional challenges, promoting a research culture that values quality and ethics. Introdução: O artigo investigou o perfil informacional de estudantes de cursos superiores, com foco em suas necessidades informacionais e o impacto do letramento informacional. O objetivo foi identificar como essas necessidades podem ser atendidas para desenvolver estratégias eficazes de letramento. Metodologia: a pesquisa foi realizada com alunos de Agroecologia e Física de uma instituição de ensino técnico e superior no Acre, por meio de questionários anônimos que coletaram dados sobre suas práticas de pesquisa e uso de fontes de informação. Resultados: os resultados mostram que, embora muitos alunos conheçam ferramentas de busca como o Google Acadêmico, há um desconhecimento significativo sobre bases de dados especializadas e normas de citação, o que compromete a qualidade das pesquisas. A maioria dos alunos não está familiarizada com a avaliação crítica de fontes, habilidades essenciais no ambiente informacional contemporâneo. Conclusão: no estudo conclui que há uma necessidade urgente de integrar o letramento informacional nos currículos acadêmicos. Treinamentos e oficinas são recomendados para capacitar os alunos a localizar, avaliar e usar informações de maneira crítica e ética. Diferenças entre os cursos destacam a importância de abordagens adaptadas às necessidades específicas de cada área de estudo. Investir no letramento informacional é crucial para preparar estudantes para desafios acadêmicos e profissionais, promovendo uma cultura de pesquisa que valoriza qualidade e ética.
Inteligência artificial e automação na pesquisa científica: uma proposta de agente computacional para apoio à revisão da literatura
Full text linkIntroduction: The growing volume of scientific publications in the field of Information Science has increased the demand for automated tools to support literature review processes. In this context, artificial intelligence (AI) agents based on large language models (LLMs) emerge as promising solutions to assist in reading and extracting information from academic texts.Objective: This study aims to propose and evaluate the use of an AI agent created by the authors for the semi-automated analysis of scientific articles, focusing on the identification of structural elements such as objectives, research gaps, methodologies, results, and future perspectives. Methodology: This is an applied research study, with a qualitative approach, exploratory design, and instrumental case study technique. A computational architecture was implemented using the libraries CrewAI, langchain_openai, and PyPDFLoader, allowing for autonomous reading of PDF files and systematic extraction of analytical information. The data were structured in YAML format, ensuring standardization and facilitating later analysis.Results: The agent correctly identified the structural elements of the articles and produced summaries that were compatible with human interpretations in most of the analyzed dimensions. However, it showed limitations in analytical depth and contextualization, highlighting the need for human mediation. Conclusion: The study demonstrates that AI agents can support systematic reviews by automating initial analysis stages. However, their use should be accompanied by qualified supervision to ensure the epistemological rigor of scientific interpretations. The proposed model represents a promising starting point for integrating AI into academic research workflows.Introdução: O crescimento do volume de publicações científicas na área da Ciência da Informação tem intensificado a demanda por ferramentas automatizadas que apoiem processos de revisão da literatura. Nesse contexto, agentes de inteligência artificial (IA) baseados em modelos de linguagem de larga escala (LLMs) despontam como soluções promissoras para auxiliar na leitura e extração de informações de textos acadêmicos. Objetivo: Este estudo tem como objetivo propor e avaliar a utilização de um agente de IA criado pelos autores para a análise semi-automatizada de artigos científicos, com foco na identificação de elementos estruturais como objetivos, lacunas de pesquisa, metodologias, resultados e perspectivas futuras. Metodologia: Trata-se de uma pesquisa aplicada, de abordagem qualitativa, com delineamento exploratório e técnica de estudo de caso instrumental. Foi implementada uma arquitetura computacional com as bibliotecas CrewAI, langchain_openai e PyPDFLoader, permitindo a leitura autônoma de arquivos PDF e a extração sistemática de informações analíticas. Os dados foram estruturados em formato YAML, assegurando padronização e facilitando a análise posterior. Resultados: O agente identificou corretamente os elementos estruturais dos artigos e produziu resumos compatíveis com interpretações humanas em grande parte das dimensões analisadas. No entanto, apresentou limitações em profundidade analítica e contextualização, reforçando a necessidade de mediação humana. Conclusão: O estudo demonstra que agentes de IA podem apoiar revisões sistemáticas ao automatizar etapas iniciais de análise. Todavia, sua aplicação deve ser acompanhada por supervisão qualificada, garantindo o rigor epistemológico das interpretações científicas. O modelo proposto representa um ponto de partida promissor para a integração da IA nos fluxos de trabalho da pesquisa acadêmica
*Dossiê* Towards a Conversational Public Administration? Public Services, Chatbots, and New Organisational Challenges for Local Authorities: public services, chatbots, and new organisational challenges for local authorities
No full textIntroduction: In a context where public administrations are increasingly required to rethink their organizational and relational models in light of digital transformation, artificial intelligence (AI) emerges as a promising lever for innovation in local public services. In particular, the intersection between AI and institutional communication opens up new scenarios for the interaction between administrations and citizens, raising critical questions about efficiency, accessibility, and trust. Objective: This study explores the organizational challenges and communication practices associated with the introduction of AI in Italian local governments, with a specific focus on the deployment of chatbots and the use of AI tools by public employees. Methodology: The research adopts a qualitative methodology, based on 26 in-depth interviews with managers, officials, and heads of ICT and communication departments in public entities across three Italian regions (Lombardy, Emilia-Romagna, and Lazio), selected based on their level of digital maturity. Results: The findings reveal a heterogeneous and still experimental landscape: while there are promising opportunities in terms of automation and service improvement, structural weaknesses persist, particularly concerning organizational fragmentation, data governance, and the shortage of internal competencies. The use of chatbots in communication processes is widely viewed as potentially beneficial, yet its effectiveness is heavily dependent on the quality of informational infrastructures and the ability of AI to support trust-based relationships. Conclusion: Ultimately, the study offers a reflection on the conditions necessary for the effective integration of AI into the broader eGovernment framework.Introduzione: in un contesto in cui le pubbliche amministrazioni sono sempre più chiamate a ripensare i propri modelli organizzativi e relazionali alla luce della trasformazione digitale, l’intelligenza artificiale (IA) emerge come una leva promettente per l’innovazione nei servizi pubblici locali. In particolare, l’intersezione tra IA e comunicazione istituzionale apre nuovi scenari per l’interazione tra amministrazioni e cittadini, sollevando questioni critiche riguardo a efficienza, accessibilità e fiducia. Obiettivo: questo studio esplora le sfide organizzative e le pratiche comunicative associate all’introduzione dell’IA nelle amministrazioni locali italiane, con un focus specifico sull’impiego di chatbot e sull’uso di strumenti di IA da parte dei dipendenti pubblici. Metodologia: la ricerca adotta una metodologia qualitativa, basata su 26 interviste in profondità con dirigenti, funzionari e responsabili dei dipartimenti ICT e di comunicazione in enti pubblici di tre regioni italiane (Lombardia, Emilia Romagna e Lazio), selezionati in base al loro livello di maturità digitale (Indice DESI Regionale, Politecnico di Milano, 2022). Risultati: i risultati rivelano un panorama eterogeneo e ancora sperimentale: sebbene vi siano opportunità promettenti in termini di automazione e miglioramento dei servizi, persistono debolezze strutturali, in particolare riguardo alla frammentazione organizzativa, alla governance dei dati e alla carenza di competenze interne. L’uso dei chatbot nei processi comunicativi è ampiamente percepito come potenzialmente vantaggioso, ma la sua efficacia dipende in larga misura dalla qualità delle infrastrutture informative e dalla capacità dell’IA di sostenere relazioni basate sulla fiducia. Conclusione: lo studio offre una riflessione sulle condizioni necessarie per l’efficace integrazione dell’IA all’interno del più ampio quadro dell’eGovernment.In a context where public administrations are increasingly required to rethink their organizational and relational models in light of digital transformation, artificial intelligence (AI) emerges as a promising lever for innovation in local public services. In particular, the intersection between AI and institutional communication opens up new scenarios for the interaction between administrations and citizens, raising critical questions about efficiency, accessibility, and trust. This study explores the organizational challenges and communication practices associated with the introduction of AI in Italian local governments, with a specific focus on the deployment of chatbots and the use of AI tools by public employees. The research adopts a qualitative methodology, based on 26 in-depth interviews with managers, officials, and heads of ICT and communication departments in public entities across three Italian regions (Lombardy, Emilia-Romagna, and Lazio), selected based on their level of digital maturity. The findings reveal a heterogeneous and still experimental landscape: while there are promising opportunities in terms of automation and service improvement, structural weaknesses persist, particularly concerning organizational fragmentation, data governance, and the shortage of internal competencies. The use of chatbots in communication processes is widely viewed as potentially beneficial, yet its effectiveness is heavily dependent on the quality of informational infrastructures and the ability of AI to support trust-based relationships. Ultimately, the study offers a reflection on the conditions necessary for the effective integration of AI into the broader eGovernment framework
Artificial intelligence technologies of the symbolic paradigm and their interdisciplinary implications for Information Science
Full text linkIntrodução: A inteligência artificial está transformando a Ciência, a economia, o mercado laboral e o contexto social. A popularização dessas tecnologias se deu a partir de 2022, quando surgiram modelos de inteligência artificial generativa como Chat GPT e DeepSeek. Inteligência artificial é um termo que contempla paradigmas tecnológicos com distintas aplicações, tal qual o simbólico, que utiliza símbolos e lógica indutiva para desenvolver sistemas autônomos. Objetivo: Objetiva-se analisar a produção de artigos nesse paradigma, na base Web of Science, em relação à popularidade ao longo do tempo, por área e por país, evidenciando pontes com teorias da Ciência da Informação. Metodologia: Os dados quantitativos dos artigos foram analisados em forma de gráficos e tabelas, calculando-se totais absolutos, parciais, médias e porcentagens. Ademais, utilizou-se o DeepSeek para relacionar as tecnologias com teorias/autores da Ciência da Informação. Resultados: Como resultados, notou-se a liderança da China nas pesquisas, uma participação tímida do Brasil, e, especificamente, tímida da Ciência da Informação. Concernente à interdisciplinaridade, foram apontadas dezessete teorias/tecnologias da Ciência da Informação, destacando a representação do conhecimento, ontologias e recuperação da informação. Conclusão: Verificou-se que algumas tecnologias de inteligência artificial estão em ascensão, enquanto outras em estabilização ou declínio. É preciso que a Ciência da Informação invista mais em pesquisas neste nicho e que o Brasil acentue parcerias público-privadas para alavancar seus ecossistemas de Inteligência artificial, a exemplo da China.Introduction: Artificial intelligence is transforming science, the economy, the job market, and the social context. These technologies began to gain popularity in 2022, when generative artificial intelligence models such as Chat GPT and DeepSeek emerged. Artificial intelligence is a term that encompasses technological paradigms with distinct applications, such as symbolic intelligence, which uses symbols and inductive logic to develop autonomous systems. Objective: The aim was to analyze the production of articles in this paradigm, in the Web of Science database, in relation to popularity over time, by field, and by country, highlighting connections with Information Science theories. Methodology: The quantitative data from the articles were analyzed in the form of graphs and tables, calculating absolute totals, partial totals, averages, and percentages. Furthermore, DeepSeek was used to relate the technologies to Information Science theories and authors. Results: China's leadership in research was noted, with Brazil's limited participation, and, specifically, Information Science's limited participation. Regarding interdisciplinarity, seventeen Information Science theories/technologies were identified, highlighting knowledge representation, ontologies, and information retrieval. Conclusion: Some artificial intelligence technologies are on the rise, while others are stabilizing or declining. Information Science needs to invest more in research in this niche, and Brazil needs to strengthen public-private partnerships to leverage its Artificial Intelligence ecosystems, following China's example
Bibliotherapy in higher education in Brazil: an overview of library science courses in the northeast
Full text linkIntrodução: A biblioterapia é compreendida como uma prática interdisciplinar que utiliza a leitura para fins terapêuticos e para a promoção do bem-estar, sendo o bibliotecário um possível mediador desse processo. No Brasil, a região Nordeste conta com dez cursos presenciais de Biblioteconomia, abrangendo todos os estados da região, sendo que o estado do Ceará possui dois cursos. Objetivo: O trabalho investigou como a biblioterapia é abordada nos currículos dos cursos presenciais de Biblioteconomia das universidades do Nordeste do Brasil. Metodologia: Trata-se de uma pesquisa de natureza exploratória e descritiva, com abordagem qualitativa e quantitativa, que analisou os sites e documentos de dez universidades da região. Resultados: Os resultados indicam que apenas três cursos apresentam disciplinas com conteúdos relacionados à biblioterapia e à informação terapêutica. O estudo revela uma presença incipiente da temática na formação do bibliotecário, o que pode estar relacionado a currículos tradicionais e ao número reduzido de docentes especializados. Conclusão: Concui-se que é essencial a atualização regular dos currículos dos cursos de Biblioteconomia, com a inclusão de disciplinas que explorem práticas integrativas, como a biblioterapia. Salienta-se, ainda a relevância do fomento de pesquisas e ações de extensão que fortaleçam o conhecimento e a prática da biblioterapia no âmbito acadêmico e profissional, preparando os futuros bibliotecários para atuar como agentes de cuidado e transformação social. Introduction: Bibliotherapy is understood as an interdisciplinary practice that uses reading for therapeutic purposes and the promotion of well-being, with the librarian as a potential mediator of this process. In Brazil, the Northeast region offers ten on-campus Library Science programs, covering all states of the region, with the state of Ceará hosting two programs. Objective: This study investigated how bibliotherapy is addressed in the curricula of on-campus Library Science programs at universities in the Northeast Brazil. Methodology: This is an exploratory and descriptive study with a qualitative and quantitative approach, analyzing the websites and documents of ten universities in the region. Results: The findings indicate that only three programs include courses with content related to bibliotherapy and therapeutic information. The study reveals an incipient presence of this subject in librarian education, which may be linked to traditional curricula and the limited number of specialized faculty members. Conclusion: It is concluded that the regular updating of Library Science curricula, including disciplines that address integrative practices such as bibliotherapy, is essential. Furthermore, the encouragement of research and extension activities that strengthen knowledge and practice in bibliotherapy within academic and professional contexts is emphasized, in order to prepare future librarians to act as agents of care and social transformation
Symmetry in root canal number and morphology between contralateral premolars and molars using cone-beam-computed-tomography
Full text linkAim: This study aimed to evaluate the symmetry of root canal number and morphology between opposite premolars and molars in each jaw using Cone-Beam Computed Tomography. Methods: 100 CBCT images of patients aged 18-65 were analyzed for diagnostic or therapeutic purposes. 96 premolars and mandibular molars, as well as 98 premolars and maxillary molars, were examined separately by two endo- and radiologists. Parameters such as canal numbers and root numbers in each root, and shape, and morphology of the canals were evaluated using NNT software. The symmetry of similar teeth in each jaw was also determined. Results: This study found that most mandibular premolars have one root and one canal with a type I Vertucci, while there are two roots and three canals in mandibular molars. Mostly, there is one root, two canals, and a type IV canal in maxillary premolars, while maxillary molars have three roots and three or four canals. The jaws have symmetry in terms of canal type, root numbers, and canal numbers. The mandible has greater symmetry than the maxilla in all cases. Conclusion: Assessing the symmetry of the canal numbers and premolars and molars morphology on both sides of each jaw using CBCT showed a significant correlation on both sides particularly between the first and second premolars and second molars, which can help dentists in comprehending root canal treatments and enhancing outcomes
Association between control of vertical dimension in orthodontics and orthopedic treatment: a systematic review
Full text linkTransverse maxillary discrepancy, mandibular skeletal retrusion, and increased lower anterior face height have been recognized as frequent abnormalities in growing individuals, despite the paucity of available data. Aim: This research looked at the relationship between treatment planning and Control of Vertical Dimension (CVD) effectiveness in orthopaedic and orthodontic therapy (OT). Methods: We searched full-text publications in PubMed, Web of Science, Scopus, Embase, Google Scholar, and ScienceDirect databases from 1970 to 2024. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) quality scale was used for the critical selection of the studies. Results: We identified 43 articles, of which 28 were included in the review. Also observed that a strong and positive relation was established for the two parameters of CVD and OT for both growing subjects. Conclusion: We can suggest from our study that rapid maxillary expansion (RME) can be used as an aid for the control of vertical dimension estimation
Clinical characteristics oforal lichen planus patientsin northeastern Iran over aperiod of 13 years
Full text linkAim: Oral lichen planus (OLP) is a relatively common chronic inflammatory mucocutaneous disease in middle-aged individuals that often affects the oral cavity, and its prevalence has increased in recent years. The aim of this study was, in addition to examining the epidemiological information on OLP, to investigate the referral pattern, the chief complaint of patients, and the clinical manifestations of the diseases in OLP patients in northeastern Iran. Methods: The records of OLP patients referred to the Department of Oral and Maxillofacial Diseases at the Faculty of Dentistry of Mashhad University of Medical Sciences in Iran from 2004 to 2017 were examined. The data were collected from the records by completing a checklist that included age, sex, education, place of residence, location and type of lesion (reticular, papular, plaque-like, atrophic, erosive and bullous), the patient’s main complaint, referral pattern, and referral time. The data were analyzed using SPSS 22 and Chi-squared, Fisher’s exact, and Kendall’s Tau-b tests were used for data comparison. Results: The records of 504 OLP patients were evaluated. 68.3% of the patients were female and 31.7% were male with a mean age of 50.10 ± 13.99 years. 32.3% of the cases were referred by general dentists and 26% by specialist dentists. The most common area of involvement was the buccal mucosa (84.1%) and the most complaint was the burning sensation (59.5%). The patient complaints were significantly associated with the clinical manifestations of erosive and non-erosive lesions (P <0.001). In addition, dysplasia was observed in 4.6% of the patients with biopsy (in subsequent biopsy). Based on the history of treatment, the number of patients with skin involvement was significantly higher than that of patients without skin involvement (P = 0.045). Furthermore, 43.8% of patients with skin involvement referred within 6 to 12 months, which was significantly higher than the number of patients without skin involvement (P = 0.016). Here, the most referrals were made by general dentists and the most common clinical manifestation was erosive (nonkeratotic) lesions. Conclusions: The patient complaints were significantly associated with clinical manifestations, so that pain and burning sensation were more common in patients with erosive lesions. Knowledge of the main complaints and clinical manifestations helps dentists diagnose the disease at an early stage and refer patients to specialists in a timely manner.
Tooth discoloration caused by repair cements in a simulated regenerative endodontic procedure
Full text linkAim: The present study evaluated color changes caused by endodontic repair materials in a simulated regenerative endodontic procedure (REP). Methods: Fifty-six bovine incisors were randomly distributed into three experimental groups according to the repair cement placed over the blood clot [Conventional white MTA (Angelus), MTA Repair HP (Angelus), and Bio-C Repair (Angelus)] and a control group (n=14). Color measurements were taken before the access cavity preparation, one week, one month, three months, and six months after REP. The CIELAB system was chosen to calculate color change (ΔE), and the generalized estimating equations model was used to compare mean ΔE values between cements and periods. Results: Teeth from the three cement groups exhibited a clinically perceptible color change. No significant differences between groups were found in any experimental period. Within each group, MTA Repair HP and Bio-C Repair exhibited significantly greater color change at the six-month evaluation. Conclusions: The three endodontic repair materials caused similar changes in tooth color when used as a cervical plug in a simulated REP.
Management ofparotidectomy with facialnerve preservation for thetreatment of pleomorphicadenoma of the parotid gland
Full text linkObjectives: Facial paralysis is recognized as the most prevalent complication following parotidectomy. This study aimed to evaluate the symptoms and post-operative complications of parotidectomy while employing facial nerve preservation techniques. Methods: The study involved 14 patients (9 men and 5 women) with a mean age of 53.0 ± 16.5 years. Clinical characteristics, facial paralysis, and other complications in these patients were monitored at three post-operative intervals: 1 week, 1 month, and 3 months. Results: Following ultrasonography, homogeneous echo textures were observed in 64.3% of tumors compared with 35.7% with heterogeneous textures. Regarding tumor locations, 50% were found in the superficial lobe, 14.3% in the deep lobe, and 35.7% involving both lobes. The FNA (Fine Needle Aspiration) test identified 64.3% of the tumors as pleomorphic, 13.3% as oncocytomas, 7.1% as Warthin tumors, and 14.3% as other benign tumors, with no cases suspected of cancer. Post-operative complications: Temporary facial paralysis was noted in 57.1% of cases at one week post-operation, declining to 28.6% after one month and 14.3% after three months. Hemorrhage occurred in 7.1% of patients, with no reports of infection, skin flap necrosis, or postoperative seroma. Additionally, 92.9% of patients experienced ear numbness at one week post-operation, decreasing to 21.4% by three months. Conclusion: the study demonstrates that parotidectomy, when performed with careful preservation of the facial nerve, is an effective and constructive approach for removing pleomorphic tumors in the parotid gland