bluuebunny/crossref_metadata_2025 huggingface dataset:
Identity in dynamics. Transformation of the narrative in a literary fairy tale
Authors: Tetiana Savrasova-Viun
Published: January 2025

The article presents the results of research into the problem of the influence of narrative transformations in a literary fairy tale on the dynamics of the characters' identity. Studying changes in the narrative of a literary fairy tale is a way of understanding the characteristics of the development of personal identity, which helps determine the nature of the interaction between the identity of the heroes of the work and its reproduction in real life circumstances. The essence of identity is determined as a dynamic structure that influences the formation of integrity, predetermining the nature of a person’s self-determination in the process of choosing values. Scientific approaches to the interpretation of identity are characterized: literary, ontological, anthropological, psychoanalytic, sociological, cognitive-oriented, existential-humanistic, narrative. The content of the narrative is presented as a set of linguistic and psychological structures that unfold past events in the present time, transforming the state of the characters. It is noted that the narrative matrix of narrative schemes is a literary fairy tale as an author's work that focuses on elements of reality and fantasy. The purpose of the article is to substantiate and analyze the influence of transformations in the narrative of a literary fairy tale on the evolution of the characters’ identity. The object of the study is the narrative of literary fairy tales by О. Zuber “Golden Grains”, V. Sukhomlynskyi “Chrysanthemum and Onion”, A. Zaitseva “The Tale of Fear”, Lesya Ukrainka “Three Butterflies”. The subject of the study is the characteristics of the characters' identity in the aforementioned fairy tales. The article uses such research methods as analysis of scientific works, systematization of approaches, generalization of provisions on the role of narrative in a literary fairy tale, comparison of works, narrative analysis.

Based on the results of the study, it was found that the narrative in a literary work influences personal identity and contributes to the assimilation of experience. The process of transformation of the narrative in a literary fairy tale determines the nature of changes in identity, which is reproduced in the worldview of the narrator. Narrative analysis of literary fairy tales has shown that dynamic changes in the identity of the heroes of fairy tales in the process of transformation of the narrative of the work causes the emergence of a spectrum of identity changes: loss, self-searching, taking on new roles, lessons of compassion, overcoming obstacles, revaluation of values, etc. The novelty of the research results lies in the identification of the characteristics of the characters’ identity depending on changes in the narrative of a literary fairy tale. Further prospects for research may be related to the description of identity models of heroes of literary fairy tales and their classification according to their functions in the work.
ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN RESEARCH ACTIVITIES: OVERVIEW AND APPLICATION
Authors: Buinytska Oksana , Smirnova Valeriia
Published: January 2025

The rapid development of artificial intelligence (AI) technologies is significantly changing approaches to research in the modern educational environment. Thanks to the capabilities of modern technologies, researchers have access to tools that help automate routine processes, facilitate data analysis and interpretation, and increase the accuracy of complex tasks. The study identifies key areas of application of AI tools in research, including search and selection of literature on the research topic, organisation of scientific publications, work with research results, increasing the visibility and dissemination of research results, analysis of the research network and research impact, visualisation of research results, creation of presentations, translation of texts and grammar checking, conversion of audio and video to text. In these areas, the researchers analysed and selected AI-based tools that support the research process. A study of the functionality of common AI tools and ways to use them in research activities was carried out. The positive impact of using AI tools in the preparation of research results is confirmed by the results of a survey of young researchers, in particular, AI tools simplify the process of working with scientific sources, interpreting and analysing data, facilitate the creation of visualisations, graphs, charts, and help increase the visibility, dissemination and impact of research results. However, the use of artificial intelligence technologies poses a number of challenges and risks, including the risk of violating the principles of academic integrity and ethics, so it is important to comply with the principles of ethical and responsible use of AI technologies in research.
GERMANY: RELEVANCE OF THE STUDY FOR UKRAINE
Authors: Honcharuk Maryna
Published: January 2025

The article examines key regulatory and legal acts of Germany that shape the foundations of preschool education and the organization of early childhood development. Their impact on ensuring the accessibility and quality of educational services, supporting inclusion, professional training, and continuous development of educators is outlined. Special attention is paid to the achievements of German preschool education in organizing language training, addressing regional disparities in access to educational institutions, reducing ethnic educational inequality, and introducing innovative approaches to education, including individualized approaches to each child and digitalization of preschool education. The article stresses the importance of utilizing German experience to reform Ukraine’s regulatory framework, enhance educational process management, expand accessibility for children with special needs, and improve education quality through innovations. It concludes that Germany's experience can serve as a basis for improving preschool education in Ukraine, particularly in the context of its integration into the European educational space.
ATIVIDADE FÍSICA NA ATENÇÃO BÁSICA E DOENÇAS CRÔNICAS NÃO TRANSMISSÍVEIS
Authors: Santos Tony Anderson , De Novais Maykon Anderson Pires
Published: January 2025

Com o aumento das Doenças Crônicas não Transmissíveis (DCNT) o Sistema Único de Saúde (SUS), por meio da Atenção Básica de Saúde ofertam às Práticas Corporais e Atividade Física (PCAF) como cuidado para a população brasileira. O estudo objetiva descrever o quantitativo de dados sobre o cenário de indivíduos suficiente e insuficientemente ativos nas regiões e capitais do Brasil, além de, projetar dados referentes às DCNT. Foram coletados dados do Sistema de Informação em Saúde para a Atenção Básica (SISAB), Pesquisa Nacional de Saúde (PNS) e o Inquérito Telefônico (VIGITEL), que foram compiladas em planilha eletrônica (Excel 2016) e expostas em gráficos e tabelas. As regiões Nordeste e Sudeste destacam-se com maior oferta de PCAF e número de participantes. No entanto, houve aumento em todas as regiões. Segundo PNS e VIGITEL houve aumento de indivíduos ativos de 7,7% e 26%, respectivamente, e a faixa etária mais ativa, situa-se entre 18 e 24 anos, por outro lado, às DCNT também cresceram. Nota-se aumento nas PCAF, coincidindo com aumento de indivíduos ativos. Porém, esse cenário coexiste com um aumento das DCNT, destacando um grande desafio para saúde pública.
Descritores: Saúde Coletiva; Atenção Primária à Saúde; Doenças Crônicas não Transmissíveis; Atividade Física; Inatividade Física.
The role of personal relationships during supply chain disruptions
Authors: GELDERMAN Cees J. , BRUGGINK Rens , HOLMAN Richard , SEMEIJN Janjaap
Published: January 2025

Aim: Research on supply chain disruptions is most commonly conducted on the inter-organizational level of analysis. Although personal relationships in business-to-business relationships are generally considered important, the role of personal relationships during supply chain disruptions has been neglected in extant literature. Our study aims to fill this void by focusing on the role of personal relationships from the buyer perspective.
Design / Research methods: An embedded case study was conducted at manufacturer ASML on the role of personal relationships during seven supply chain disruptions. ASML is the world’s leading supplier of machines for the semiconductor industry. The unit of analysis is a supply chain disruption due to a delay or interruption in supply caused by the supplier or a sub-supplier. A total of seven sub-cases were examined.
Conclusions / findings: We found that personal relationships facilitate communication, the building of trust, flexibility, mutual understanding and anticipating behaviors. The results indicate that personal relationships indeed can play an important role in advancing supplier performance and addressing supply chain disruptions.
Originality / value of the article: The lack of research into the role of personal relationships in handling supply chain disruptions is a notable omission and points to a gap in the current body of knowledge. This study contributes to current understandings and knowledge by being one of the first studies to specifically investigate the role of personal relationships in a context of supply chain disruptions.
Implications of the research (if applicable): The results of this study have important implications for practice. The recommendation for management is to make employees aware and train them to invest in personal relationships which lays the foundation for successful collaboration also on the inter firm level. Trust and communication can be reinforced by regular face-to-face meetings, team-building activities with counterparts and communication training for better personal skills. Regular communication and maintaining relationships in stable times can help to increase supply chain resilience.
Limitations of the research: A limitation of this research is its focus on describing the role of personal relationships during different supply chain disruptions within a single focus organization. Another limitation of our study is the focus on supply chain disruptions that were successfully resolved. Further research could address these issues.
JEL: L63, M5
Note about the authors
Authors: Platje Johannes (Joost)
Published: January 2025

Note about the authors
Organizational citizenship behaviour relationship on challenge stress, hindrance stress and turnover intention in hotel industry employees in Java island
Authors: Prasetio Kumala Hasta , Hendarsjah Hidajat
Published: January 2025

The high employee turnover rate in the hotel industry on Java Island, influenced by work stress and organizational behavior, poses a significant challenge to operational sustainability and service quality in this sector.This study examines the relationship between Organizational Citizenship Behavior (OCB), Challenge Stress (CS), Hindrance Stress (HS), and Turnover Intention (TI) among employees in the hotel industry on Java Island. The research investigates the distinct roles of OCB at the individual level (OCBI) and organizational level (OCBO) in influencing stress perceptions and employee turnover intentions. A quantitative approach was utilized, involving 220 hotel employees from various regions in Java. Data was collected using online questionnaires and analyzed using Structural Equation Modeling (SEM) with the SmartPLS tool. The findings reveal that OCBO significantly influences CS positively and HS significantly, while OCBI does not significantly impact either type of stress. Furthermore, HS has a strong positive effect on TI, whereas CS shows no significant impact. Interestingly, OCBO also exhibits a direct positive influence on TI. These results suggest that while OCB behaviors can enhance organizational functioning, they may also inadvertently contribute to stress and turnover intentions, especially when organizational support is insufficient. This study highlights the nuanced effects of OCB in the high-pressure context of the hotel industry. Practical implications include the need for organizations to balance employee contributions with adequate rewards and stress management strategies. Future research should explore additional moderating factors, such as organizational culture and job resources, to better understand the dynamics of stress and turnover in the hospitality sector
Clinical condition of patients with Obesity Hypoventilation Syndrome (OHS): case report
Authors: Heryana Made Oka , Widjono Heru
Published: January 2025

Abstract. Obesity hypoventilation syndrome (OHS) or Pickwikian's syndrome consists of obesity, breathing-related sleep disturbances, and chronic daytime hypoventilation. Identifying OHS is essential due to the risk of clinical exacerbation leading to respiratory failure and the high mortality rate among untreated patients. A 55-year-old woman was admitted to the emergency room with two days of weakness and fatigue. She is unable to perform daily tasks due to shortness of breath. She was recently diagnosed with diabetes. The patient weighs 133 kilograms and has a height of 155 centimeters (Body Mass Index of 55,4 kg/m2). The patient's blood glucose was 351 mg/dl, with an abnormal result of HbA1C of 11.5%. The blood pressure tends to stage 1 hypertension, and arterial blood gas examination showed respiratory acidosis. We diagnosed her with obesity hypoventilation syndrome, type 2 diabetes, and stage 1 hypertension. During her five-day hospitalization, her condition improved. Correct diagnosis and management can improve the patient's quality of life and decrease the risk of comorbidities. In addition, it can reduce the cost and time of hospital care.
Safety of metamizole analgesic therapy in patients with dyspepsia syndrome: a case report
Authors: Anam Khoirul , Widiyawat Rina , Sugesti Tita , Pristantiningtyas M. Hari , Dharma Herya Putra , Muchlis Muhammad , Pratama Jainuri Erik , Setiadi Adji Prayitno , Gondokesumo Marisca Evalina
Published: January 2025

The selection of drugs in patients who have experienced dyspepsia syndrome needs to be studied for its use. Non-steroidal anti-inflammatory drugs (NSAIDs) are a class of drugs that are effective in controlling various inflammatory conditions and treating inflammatory symptoms such as pain but are limited in their use in patients with dyspepsia. We report case of patients with metamizole NSAIDs during three days of hospitalization with a diagnosis of dyspepsia. Other side effects such as cardiovascular, neurological disorders and agranulocytosis can also occur with the use of metamizole. There were no side effects that exacerbated dyspepsia symptoms in patients or other side effects during the three days of using metamizol. It can be concluded that short-term metamizole therapy is safe for use in patients with dyspeptic syndrome. Concomitant use with gastric acid blocking agents such as H2 receptor antagonists may also reduce the effects of gastrointestinal disturbances.
Effect of Sechium edule extract on blood sugar levels and pancreatic histopathology in male Rats with type II diabetes mellitus
Authors: Marti Silfia  , Gusbakti Rusip  , Linda Chiuma  , Ade Indra Mukti  , Lia Restumulia
Published: January 2025

Diabetes mellitus (DM) is a metabolic disorder characterized by elevated blood glucose levels (hyperglycemia) and the presence of glucose in the urine (glucosuria). The etiology of diabetes varies depending on its type, including Type 1 diabetes, which is caused by autoimmune destruction of pancreatic beta cells responsible for insulin production; Type 2 diabetes, resulting from insulin resistance; and gestational diabetes, triggered by hormonal changes during pregnancy affecting insulin sensitivity. Insulin plays a crucial role in glucose metabolism by converting glucose into glycogen for storage. This study aimed to evaluate the effect of Siamese pumpkin extract (Sechium edule) on blood glucose levels in male Wistar rats (Rattus norvegicus) with type II diabetes. A pre-test and post-test control group experimental design was employed, using 25 rats divided into five groups: a negative control group, a positive control group, and treatment groups receiving chayote extract at doses of 14 mg/kgBW, 28 mg/kgBW, and 42 mg/kgBW, respectively. Streptozotocin (STZ) was administered to induce diabetes in all groups except the negative control. Data analysis included normality tests, homogeneity tests, ANOVA, and post-hoc multiple comparison tests. The results demonstrated that Siamese pumpkin extract contains active compounds such as alkaloids, saponins, flavonoids, steroids, triterpenoids, tannins, and glycosides. Among the treatment groups, the administration of chayote extract at a dose of 42 mg/kgBW resulted in the most significant reduction in blood glucose levels compared to the lower doses. Histopathological analysis of pancreatic tissue revealed no abnormalities, necrosis, or degeneration across all treatment groups. The superior efficacy of the 42 mg/kgBW dose is attributed to the higher concentration of active compounds, enhanced glucose-lowering mechanisms, and improved systemic distribution.
Epitope-Driven Vaccine Development for Zika Virus: A Bioinformatics Approach
Authors: Riska Ayu Sutriyansyah  , Muhamad Hilmi Ihsanul Iman  , Cahya Ajeng Valenta Tresna Sulung  , Nelly Indira Kusuma Wardani  , Ansori Arif Nur Muhammad
Published: January 2025

Zika virus (ZIKV) has become a global concern in 2015-2016, which can infect adults and developing fetuses. ZIKV is a member of the Flaviviridae family, which can spread through Aedes mosquitoes, sexual intercourse, from mother to fetus, and blood transfusions. The genetic material is single-stranded RNA with positive polarity. Conventional vaccine development requires a long time and significant resources, so the bioinformatics approach is an efficient alternative for identifying B cell epitopes as vaccine candidates. This research uses bioinformatics or In silico methods to identify B cell epitopes with the immune epitope database (IEDB) web server. This research showed that the peptide sequence of "EWFHDIPLPWHAGADTGTPHWNNKEA" (peptide 6E) in the envelope protein E of ZIKV is a potential vaccine candidate. This peptide is predicted to have high antigenicity, non-allergenicity and non-toxicity. This study concluded that peptide 6E is a promising vaccine candidate. Further studies are needed in vitro and in vivo to reconfirm that it can be used as a potential ZIKV vaccine candidate and can be applied in the future.
Efficient Face Mask Detection Using Hybrid Deep Learning Algorithms
Authors: AL-Abbasi Mohammed , Kareem Tamarah , Waley Shneen Salam
Published: January 2025

The coronavirus COVID-19 pandemic has caused a global health crisis. According to According to the World Health Assembly, one of the best preventative measures is to wear a face mask while out outdoors (WHO). This work presents a hybrid model for face mask identification that combines deep and traditional machine learning. I have trained the proposed system, which consists of convolutional neural networks (ConNN), support vector machines (SVM), and random forests (RF), in three stages, the first stage, used ConNN, the second stage, used the same ConNN with the SVM method, and in the third stage, used ConNN and RF. This paper suggests three different kinds of masked face recognition datasets: the Incorrectly Masked Face Dataset (IMFD), the Correctly Masked Face Dataset (CMFD), and the combination for MaskedFace-Net, a worldwide masked face detection system. Two objectives are presented for the realistic masked face datasets: i) to identify individuals whose faces are covered or not covered, ii) to identify faces whose masks are put on properly or improperly (for example, at airport entrances or among crowds). The suggested model is made up of two parts. The first part is designed for feature extraction using a convolutional neural networks. In contrast, the second section is made to classify face masks using SVM and RF methods. The ConNN achieved 99.92%. and achieved for ConNN and SVM 99.94%. ConNN and RF 98.79%. Moreover,The system has been tested in real world scenarios and can recognize and classify any image selected by Google with high accuracy. we a comparison and the results aim to evaluate the proposed model.
An optimization-based approach to identifying and detecting malicious activity in the dark web
Authors: Hasan Abd Ali Arif
Published: January 2025

Dark web emerged as an encrypted and closed network that can only be accessed by computers using specific software and allows users to apply for membership and you have to provide your IDs to the admin of that network, which creates severe challenges in passing cybersecurity; With advanced Internet facilities, the origin and possibility of network invasions or attacks are increasing, and it is becoming very difficult for traditional anomaly detection systems to analyze objectively and pass Functional Purpose: Our ultimate goal by applying machine learning algorithms and network analysis methods is to identify a certain set of attributes that May indicate a cyber threat. Like many other studies, the traffic in the current paper has also been generalized to represent darknet traffic with a classification of unique features between attacks and attacks. As is known, based on the results of the experimental analysis of the proposed approach, it is possible to conclude about the high efficiency of the developed method in identifying types of cyber threats . This project contributes, by utilizing and improving machine learning techniques, to finding reliable measures to mitigate threats in cyberspace,  and improving threat detection programs.
Dry Matter Accumulation and Nutrient Acquisition of Summer Irrigated Greengram (Vigna Radiata L.) as Influenced by Integrated Application of Basal Nitrogen and Foliar Feeding of Nano and Conventional Urea
Authors:   Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India, Saitheja Vaddi , M Senthivelu ,   Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India, G Prabukumar ,   Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India, V Babu Rajendra Prasad ,   Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
Published: January 2025

A field experiment was conducted at wetland farm of Tamil Nadu
Agricultural University, Coimbatore, during the summer of 2022 to study
the influence of different levels of basal nitrogen in combination with foliar
fertilization of various concentrations of nano and conventional urea on dry
matter production, nutrient uptake of green gram and post-harvest availability
of soil nutrients. The experiment was framed in a factorial randomized block
design comprising of two factors (N and F) with four levels under each factor.
Basal nitrogen levels viz., N1 - 100% RDN (25 kg N ha-1 ), N2 - 80% RDN (20 kg
N ha-1 ), N3 - 60% RDN (15 kg N ha-1 ) and N4 - Absolute nitrogen control (0 kg
N ha-1) were assigned under factor N. Likewise, foliar nutrition practices viz.,
F1 - Nano urea @ 2 mL litre-1 of water, F2 - Nano urea @ 3 mL litre-1 of water,
F3 - Nano urea @ 4 mL litre-1 of water, F4 - 1% conventional urea were assigned
under factor F which were sprayed at flower initiation (FI) stage and 15 days
thereafter. All the treatment combinations were replicated thrice. The results
of the field experiment indicated that basal application of 100% and 80%
RDN in combination with foliar spray of nano urea @ 4 mL litre-1 of water at FI
stage and 15 days thereafter significantly recorded the maximum dry matter
production and higher uptake of nitrogen, phosphorus, and potassium. As the
performance of both the treatment combinations was almost comparable,
the adoption of reduced dose, i.e., application of 80% RDN integrated with
foliar feeding of nano urea @ 4 mL litre-1 of water at FI stage and 15 days
thereafter, would be effective in maximizing the dry matter production and
nutrient uptake by greengram.
A IMPORTÂNCIA DO AUTOCUIDADO DO PSICÓLOGO CLÍNICO PARA SUA ATUAÇÃO FRENTE A PSICOTERAPIA
Authors: Rios Danyelle Nogueira , Almendra Matheus Da Costa
Published: January 2025

A pesquisa pretende apresentar como a ausência do autocuidado influência na saúde mental do psicólogo clínico na atuação da psicoterapia. Em razão disto, no decorrer de uma revisão bibliográfica pretende responder ao seguinte questionamento. Qual a importância do autocuidado do psicólogo clínico para a atuação frente a psicoterapia? O objetivo geral é identificar como o autocuidado pode ajudar na saúde mental do psicólogo clínico, sendo os objetivos específicos: expectativas quanto a inserção no mercado de trabalho; atuação profissional em outras áreas além da clínica, resultando no excesso de trabalho; exaustão emocional por não cumprir com todos os processos de trabalho; tratar de pacientes com demandas emocionais semelhantes as suas; dificuldade em gerenciar a carga de trabalho da vida pessoa; apresentar adoecimento psicossomáticos devido ao estresse em obter êxito constante profissionalmente. Através da pesquisa bibliográfica alguns dos autores que abordaram a temática foram Morais (2016); Lima (2016); Bermúdez (2017); Mota (2017); Silva (2020); Teixeira (2021). Acredita-se que o estudo sobre à temática possa permitir o aprofundamento sobre esse olhar do autocuidado do psicólogo no âmbito clínico que lida com as partes do todo do cliente, para assim contribuir com maneiras de cuidar de si para se disponibilizar no cuidado com o outro. Além de ampliar a discussões sobre o tema para desmistificar o estereótipo de que o psicólogo precisa estar sempre bem, com um olhar mais humanizado para a profissão independente da abordagem e dando notoriedade para mais pesquisas cientificas.

Palavras-chaves: Autocuidado. Psicólogo. Psicoterapia.
COVID-19 E SUAS IMPLICAÇÕES NA SAÚDE MENTAL DE CRIANÇAS EM IDADE ESCOLAR
Authors: Costa Iara dos Santos , Almendra Matheus da Costa
Published: January 2025

Esta revisão bibliográfica apresenta como tema central elencar as implicações que a pandemia do vírus Covid-19 veio desencadear na saúde mental de crianças em idade escolar, tendo como objetivo geral identificar o processo de adoecimento psíquico em decorrência da pandemia. Quanto à metodologia, trata-se de uma pesquisa bibliográfica de cunho qualitativo. A coleta de dados foi realizada por meio de artigos científicos, revistas digitais e livros. No referencial teórico foram abordados os seguintes temas: Infância e Covid-19, Modelo de Educação à Distância e Transtornos do Neurodesenvolvimento, e o Papel do Psicólogo Durante a Pandemia. A análise de dados foi desenvolvida por meio de conteúdo, nos quais os resultados preliminares apontaram para um impacto traumático de situações históricas adversas no desenvolvimento infantil, tendo como melhor forma de contato com o indivíduo a ludicidade, a qual torna-se mais estruturada com o avançar da idade. O diferencial foi a constatação de ações remediadoras na forma como o Conselho Federal de Psicologia e a Organização Mundial da Saúde buscaram ofertar formas de amenizar o impacto da pandemia na saúde mental da população em geral.
Palavras-chave: Covid-19. Educação. Crianças. Neurodesenvolvimento. Psicomotor.
ANÁLISE DO ADOECIMENTO PSÍQUICO NA SOCIEDAE DO CANSAÇO: UMA PERSPECTIVA PSICALÍTICA
Authors: Ramos Laudicéia Brito , Leão Lucas Marchado Carvalho de Arêa
Published: January 2025

Este trabalho analisa o adoecimento psíquico na sociedade contemporânea, caracterizada por Byung-Chul Han como a ‘sociedade do cansaço', sob uma perspectiva psicanalítica. O estudo investiga como o excesso de demandas, a hiperprodutividade e a sobrecarga emocional impactam negativamente a saúde mental dos indivíduos. A metodologia consiste em uma pesquisa bibliográfica, com análise qualitativa de obras teóricas e artigos científicos. A psicanálise é apresentada como ferramenta crucial para compreender os conflitos inconscientes que alimentam o sofrimento psíquico, propondo intervenções focadas na escuta analítica e no reconhecimento da subjetividade. Nesse contexto, destaca-se a influência do superego, que internaliza as expectativas sociais e contribui para a sobrecarga emocional, agravada pela lógica neoliberal de autoexploração. Transtornos como ansiedade, depressão e burnout emergem como manifestações recorrentes dessa dinâmica, reforçando a importância de estratégias de cuidado e prevenção. Conclui-se que é essencial repensar os valores da sociedade contemporânea, propondo práticas que priorizem o equilíbrio emocional e a saúde psíquica em meio às demandas excessivas da modernidade. Ademais, é indispensável o desenvolvimento de políticas públicas que promovam o bem-estar coletivo e individual, conciliando produtividade e descanso. Ao final, este trabalho reforça a necessidade de ressignificar as exigências sociais e estimular uma convivência mais saudável, integrando o autocuidado como um componente central para uma vida mais sustentável.
Palavras-chave: sociedade do cansaço; psicanálise; adoecimento psíquico; mal-estar; saúde mental.
CONTRIBUIÇÃO DA PSICANÁLISE PARA A TERAPIA DO TRANSTORNO DO ESPECTRO AUTISTA(TEA) INFANTIL NA PSICOTERAPIA CONTEMPORÂNIA: ATUAÇÃO DO PSICANALISTA CLÍNICO
Authors: Miranda Eudes dos Santos , Paz Lucas Machado Carvalho de Arêa Leão
Published: January 2025

Este artigo aborda a influência da psicanálise no tratamento do Transtorno do Espectro Autista (TEA) na psicoterapia atual, com ênfase na perspectiva clínica analítica. O Transtorno do Espectro Autista (TEA) é uma condição de desenvolvimento que impacta diversas capacidades cognitivas, de comunicação e sociais das crianças, apresentando uma ampla gama de manifestações que variam de forma significativa de uma pessoa para outra. Realizou-se uma revisão bibliográfica qualitativa de materiais publicados entre 2014 e 2024, incluindo artigos, dissertações e livros. As fontes foram obtidas em bases de dados como SciELO, BVS e PePSIC, focando em estratégias psicanalíticas aplicadas ao manejo clínico de crianças com TEA. Apesar de ainda serem debatidas diversas questões, como as causas do TEA, se tem origem genética ou se possui cura, o artigo ressalta o crescente interesse em terapias eficazes para lidar com essa condição. A psicanálise, ao se concentrar na interpretação por meio do lúdico e da fala, procura compreender os comportamentos das crianças com TEA e incentivar uma adaptação gradual às suas realidades únicas. Os psicanalistas franceses Laurent e Maleval tiveram uma contribuição significativa para a teoria do Transtorno do Espectro Autista, ressaltando a relevância do gozo e da linguagem na caracterização desse distúrbio. A psicanálise valoriza a relevância do ambiente terapêutico e da conexão entre pessoas, com o objetivo não só de tratar os sintomas do TEA, mas também de aprimorar a qualidade de vida das crianças, fomentando maior autonomia e bem-estar. Dessa forma, a abordagem psicanalítica proporciona uma visão em camadas e que se encaixa harmoniosamente no tratamento do TEA, destacando a singularidade e as necessidades terapêuticas únicas de cada criança.

Palavras-chave: psicanálise, psicoterapia infantil, psicanálise infantil, TEA e autismo infantil.
BORDERLINE: UMA ANÁLISE DAS CAUSAS, SINTOMAS, IMPACTOS E DA IMPORTÂNCIA DO DIAGNÓSTICO E TRATAMENTO PRECOCE DO TRANSTORNO NA ADOLESCÊNCIA E NA VIDA ADULTA
Authors: Silva Ismael Gonçalves da , Neta Olindina Fernandes da Silva
Published: January 2025

A presente revisão bibliográfica sistemática, de cunho qualitativo, tem caráter exploratório e está pautada em estudos publicados anteriormente. Sendo assim, o objetivo deste estudo é averiguar globalmente, seja as causas, os sintomas, impactos, a importância do diagnóstico e a importância do tratamento precoce do transtorno borderline na adolescência e na jovem adultez. Para tal análise foi realizada uma revisão integrativa da literatura, formulada em seis passos metodológicos, onde foram definidos por critérios de inclusão e exclusão 10 artigos sobre a temática. A pesquisa foi realizada no mês de agosto de 2024, através das bases de dados que seguem: Literatura Latino Americana Caribe em Ciências e Saúde (LILACS); Medical Literature Analysis and Retrievel Sistem Oline (MEDLINE); por meio da Biblioteca Virtual em Saúde (BVS); Scientifique Electronic Library Online (SciELO); Periódicos Eletrônicos em psicologia (PEPSIC). Os principais resultados encontrados se dão ao tocante da compreensão do transtorno como um padrão de comportamento que gera grandes prejuízos para o indivíduo nos aspectos sociais, relações afetivas e familiares e laborais. Portanto, estratégias de tratamento carecem de multidisciplinaridade, envolvendo psiquiatras, psicólogos e terapeutas para fornecerem técnicas de enfrentamento, bem como a escassez de produções voltadas a compreender a temática abordada.

PALAVRAS-CHAVES: Transtorno de Personalidade Borderline; Adolescência; Jovens Adultos; Diagnóstico; Tratamento.
O USO DA INTELIGÊNCIA ARTIFICIAL COMO FERRAMENTA PARA DIAGNÓSTICOS CLÍNICOS EM PSICOLOGIA
Authors: Sousa Ângela Victoria Teixeira Medeiros Silva e , Dantas Júnior Augusto Ferreira
Published: January 2025

O uso da Inteligência Artificial (IA) em diagnósticos clínicos na psicologia tem se mostrado uma ferramenta promissora. A IA pode analisar grandes volumes de dados rapidamente, identificando padrões que podem ser difíceis para humanos detectarem. Isso pode levar a diagnósticos mais precisos e personalizados, permitindo tratamentos mais eficazes. No entanto, o uso de IA também levanta questões éticas e de privacidade que precisam ser cuidadosamente consideradas. Estudos indicam que a integração de IA em práticas clínicas pode revolucionar a psicologia, desde que implementada com cautela. Esse trabalho visa explorar e compreender a inteligência artificial, abordando o seu uso em diagnósticos e intervenções personalizadas de forma única ao paciente, aprimorando processos de avaliação, analisando sintomas e históricos médicos para detecção precoce de distúrbios mentais como um todo. Utilizados artigos de Oxford University Press, Jornal da USP, Boletim Psicológico, Lovise, MIT Press, W.W. Norton & Company, Viking, Harper e Journal of Clinical Psychology. Levando em consideração que com esse estudo e com as pontuações previstas na revisão bibliográfica, identificar as contribuições da inteligência artificial perante a psicologia levando em consideração a problemática no quesito ética, em tal realidade, frisando a IA somente uma ferramenta de suporte e auxílio perante o profissional de psicologia
Palavras-chave: Diagnósticos clínicos. Psicologia. Inteligência Artificial.
EFECTO DE LA INCLUSIÓN ALIMENTICIA DE ZINC EN EL RENDIMIENTO PRODUCTIVO DE LOS LECHONES: META-ANÁLISIS
Authors: Males Vasco Alejandra Saraí , Quisirumbay Gaibor Jimmy
Published: January 2025

El zinc (Zn) es un elemento esencial en la dieta de los cerdos. Sin embargo, existe variabilidad en los niveles, duración y fuentes de suplementación de este nutriente, lo cual puede generar incertidumbre en los nutricionistas de porcinos. El presente meta-análisis se desarrolló con el objetivo de evaluar el efecto de la inclusión alimenticia de zinc sobre el rendimiento productivo de los lechones. Para ello se incluyó un total de 53 artículos; bajo el modelo de efectos aleatorios se determinó tamaño de efecto, heterogeneidad y efecto de moderadores. Los resultados mostraron que la suplementación con zinc inorgánico mejoró la ganancia diaria de peso (+0,03581 kg día-1, p 0,00001), consumo diario de alimento (+0,01868 kg día-1, p=0,00001), conversión alimenticia (-0,0554 kg kg-1, p=0,00844) y eficiencia alimenticia (+0,03197 kg kg-1, p 0,00001), versus el grupo control (sin suplementación). El uso de zinc orgánico mejoró la ganancia diaria de peso (+0,0118 kg día-1, p 0,00001), consumo diario de alimento (+0,01697 kg día-1, p=0,01266), y eficiencia alimenticia (+0,01923 kg kg-1, p=0,01529). Se encontraron valores altos de heterogeneidad ( 80%) en la mayoría de las variables evaluadas, por lo que se realizaron meta-regresiones con los moderadores: duración y nivel de suplementación de zinc y nivel de cobre. Se concluye que la suplementación alimenticia de zinc, con cualquiera de sus fuentes, favorece el rendimiento productivo en lechones.
Implementasi Algoritma K-means Clustering pada Pengelompokan Data Kepuasan Penggunaan E-learning
Authors: Rohman MGhofar , Yahya Kurnia , Susilo Purnomo Hadi
Published: January 2025

– Selama pandemic covid-19 kegiatan pembelajaran di perguruan tinggi mengalami perubahan, dari yang pembelajaran secara langsung yang dilaksanakan di kelas menjadi pembelajaran secara daring dengan memanfatkan koneksi internet (pembelajaran daring). Selama kegiatan pembelajaran dilakukan secara daring banyak sekali pro dan kontra pada pelaksaan kegiatan dilapangan, sehingga perlu dilakukan penggelompokan mengenai kepuasan mahasiswa pada pelaksaan pembelajaran daring. Tujuan pada penelitian ini adalah untuk melakukan pengelompokan data kepuasan mahasiswa pada pembelajaran daring dengan menggunakan metode k-means. Data yang digunakan dalam penelitian ini adalah data yang dihasilakan dari sebaran angket/kuisioner kepada 185 mahasiswa fakultas Teknik. Pada penelitian ini, penerapan metode K-Means klastering pada aplikasi yang dibuat pada matlab dengan menggunakan 3 klaster. Penelitian  ini menggunakan data sebanyak 185 data yang didapatkan dari mahasiwa fakultas teknik Universitas Islam Lamongan. Dari hasil perhitungan aplikasi matlab diperoleh keanggotaan pada klaster adalah sebagai berikut: klaster 1 dengan anggota sebanyak 80 data mahasiswa, klaster 2 beranggotakan sebanyak 23 data mahasiswa dan pada klaster 3 dengan anggota sejumlah 82 data mahasiswa.
Enriqueta Vásquez Digital History Project: Snapshots of an Immersive Experience
Authors: Córdova Theresa J. , Cotera María Eugenia , deMaría Jaelyn , Merchant Linda García , Montañez Margie , Rodríguez Annette M. , Roybal Karen , Vésquez Enriqueta L.
Published: January 2025

Abstract: This essay provides snapshots from the field that emerged from the Enriqueta Vásquez Digital History Project, an immersive field school focused on the archive of the life and works of Chicana feminist, activist, and author Enriqueta Vásquez. As a result of these collaborative efforts, her archive is now housed at the Center for Southwest Research at the University of New Mexico. A community-driven, collaborative, and interdisciplinary Chicana feminist praxis guided the field school, which was hosted in El Prado, New Mexico, at Las Pistoleras Instituto Cultural de Arte, and within the sacred landscapes of northern New Mexico. The snapshots shared here are from the group of Chicanas who have worked together in various capacities over the course of many years. The authors provide insights about this form of deliberate praxis as a potential model for others invested in community-centered archival work to follow and/or adapt.
Endoscopia bajo sueño inducido en la apnea obstructiva del sueño (DISE) o somnoscopia
Authors: Mª Teresa Stein Marzoa  , Raquel Iglesias Guitián  , Sonia Martín Ventura
Published: January 2025

El síndrome de la apnea obstructiva del sueño (SAOS) tiene una alta prevalencia en la población adulta y cuando no se trata, produce un deterioro en la salud y en la calidad de vida de los pacientes afectos. La endoscopia bajo sueño inducido (DISE) es una técnica diagnóstica que permite evaluar la vía aérea de pacientes roncadores y con SAOS. Para ello se utiliza una sedación farmacológica que simula el sueño natural. Sus hallazgos permiten ayudar a decidir que tratamiento es el más adecuado para estos pacientes cuando la CPAP no es una opción considerada o bien tolerada.
Adamgammadex
Authors: Alba Porto Soto  , Elena Vilardell Ortiz  , Anna Abad Torrent
Published: January 2025

El adamgammadex es un nuevo agente reversor del bloqueo neuromuscular inducido por rocuronio o vecuronio. Debido a su mayor peso molecular, requiere una dosis más alta que el sugammadex. Estudios clínicos llevados a cabo en China sugieren que es bien tolerado y equiparable al sugammadex en la recuperación del TOF ratio ≥ 0,9 en 5 minutos, con menos efectos adversos como anafilaxis, recurarización, bradicardia y laringoespasmo. Sin embargo, se necesitan más estudios para confirmar su eficacia y seguridad.
Design and Validation of a Biocompatible and Cost-Effective Biomaterial Based Arm Patch for Intravenous Training Applications
Authors: Zaheer Fizza , Moiz Wali Khan  , Maida Nadeem
Published: January 2025

The objective of this study was to construct an efficient arm patch for intravenous medical simulation and training using easily accessible biomaterials to make a realistic and affordable training model for healthcare workers. In this assessment, factors like durability, biocompatibility and ease of fabrication were considered in order to determine the appropriate biomaterials. It was important to have realistic veins together with skin texture in the arm patch in order to achieve the best psychological imitation. The experiment was designed to make glycerinated gelatin skin layers for an arm patch with IV tubing as veins. The material was subjected to compression and bending tests to confirm that the mechanical properties required for realistic and sustainable simulation. Findings indicated that the arm patch was capable of accommodating a lot of pressure and possessed elastic properties like human skin. Arm patch users demonstrated enhanced performance and accuracy level in IV catheter insertion procedures. In this way, excluding a live patient, this arm patch improves patient safety forgoing ethical issues in the education of medical personnel.
Optimizing researcher mentorship matching: A particle swarm optimization-based recommendation model
Authors: Rianat Abimbola Oguntuase
Published: January 2025

Mentoring is an essential collaborative practice among academic researchers, fostering growth and expertise. It is widely believed that scientific knowledge, practices, and skills are transferred from one generation of scientists to the next through mentorship. The increasing significance of collaboration among academic researchers necessitates innovative, effective tools for optimal mentor-mentee matching, facilitating successful mentorship and knowledge transfer. Despite existing expert-finding recommender systems, matching mentors with mentees remains understudied. This research addresses this gap by developing a novel metaheuristic-based approach to optimize mentor-mentee pairing. Utilizing profile and publication datasets from Academic Family Tree, a Support Vector Machine (SVM) classifier is employed to categorize researchers as experts or young researchers. Term Frequency-Inverse Document Frequency (TF-IDF) extracts research area features, generating researcher vectors. These inputs are then optimized using Particle Swarm Optimization (PSO) algorithm to facilitate mentorship connections. The results demonstrate exceptional performance: the Support Vector Machine (SVM) classifier achieves 99% accuracy, while the optimized recommendation model based on PSO algorithm, which achieves 100% accuracy, outperforms three baseline models, collaborative filtering (CF), content-based filtering (CBF) and Hybrid CF-CBF models. This study's findings can inform research institutions seeking to enhance researcher-mentor connections, fostering collaborative excellence. Future research will explore expanded datasets and algorithmic refinements.
Exploring the factors influencing the usage of antiepileptic drugs in women with epilepsy
Authors: Raisa Anand  , Ruby Chopra  , Kunal Khobragade  , Nitinkumar S Doshi
Published: January 2025

Background: Levetiracetam's relatively low teratogenic risk and minimal interactions with hormonal contraceptives have made it a preferred option in the management of women with epilepsy (WWE). This study aimed to analyze and evaluate the factors influencing antiepileptic drug (AED) usage in WWE.
Methods: The observational cross-sectional survey was conducted between April 2024 to May 2024, among neurologists from various regions across India, who are having special epilepsy clinics.
Results: A total of 253 neurologists participated in the survey. Approximately 47.04% of the neurologists reported that 20-40% of their patients were female in their clinical practice, while 45.06% reported that 40-60% of their patients were female. The majority of neurologists prefer levetiracetam for treating WWE across various groups: 87.75% for reproductive-age women with focal epilepsy, 84.98% for generalized epilepsy, and 73.91% for pediatric patients. It is also widely prescribed for elderly women (70.36%), pregnant women (86.56%), and breastfeeding women (85.38%). Additionally, 74.31% neurologists recommend it for male partners with epilepsy due to its high efficacy and tolerability. About 47.04% of neurologists preferred levetiracetam for treating WWE due to its advantage in lowering the risk of teratogenicity, followed by 26.48% who cited better seizure control. To reduce the teratogenic risk, 34.94% of neurologists consider alternative medications with lower teratogenic potential, while 34.94% consider folic acid supplementation.
Conclusion: The survey highlights a strong preference among neurologists for levetiracetam in treating WWE across various patient groups.
The role of predictive analytics in enhancing public health surveillance: Proactive and data-driven interventions
Authors: Chinedu James Ezeh  , Sandra Chioma Anioke  , Sola Oyewole  , Munakur Garnvwa David
Published: January 2025

Predictive analytics has transformed public health surveillance, shifting it from reactive to proactive care. Leveraging advanced mathematical tools, artificial intelligence (AI), and machine learning (ML) algorithms, healthcare systems now analyze data to detect patterns, predict outbreaks, and implement timely interventions. This study examines the role of predictive analytics in strengthening disease surveillance, prioritizing resources, and building effective early warning systems. Using qualitative assessments of implemented systems in various healthcare organizations, data was synthesized from case studies and technical evaluations. Sources included health records, environmental data, and social determinants of health.
Results demonstrated that predictive analytics significantly enhance early disease detection and resource management. Integrated models yielded higher accuracy than conventional forecasting methods, and organizations using these systems showed improved preparedness and response to health risks. Success factors identified include data quality, integration, and organizational readiness. However, challenges persist in data normalization and system interoperability.
The findings underscore the potential of predictive analytics to improve public health outcomes through timely and precise actions, emphasizing the need for robust analytical models and seamless data integration. While promising, successful implementation requires addressing technical, organizational, and ethical issues. These insights offer valuable guidance for healthcare institutions aiming to adopt and enhance predictive analytics tools.