bluuebunny/crossref_metadata_2025 huggingface dataset:
Overview of Spatial-Temporal Traffic Flow Prediction Models
Authors: Li Xinyue
Published: November 2024

Predicting traffic flow is crucial for optimizing traffic management and ensuring public safety. Traditional methods often struggle with the complexity of traffic systems, which are influenced by spatial relationships, temporal dynamics, and various external factors. To address these challenges, recent research has focused on deep learning techniques, which have shown promise in capturing the intricate patterns of traffic flow. This article reviews the state-of-the-art deep learning approaches for spatio-temporal traffic forecasting, including convolutional neural networks (CNNs) that can process spatial data, attention mechanisms that allow models to focus on relevant features, and heterogeneity-aware models that account for diverse traffic patterns. Each method has its own strengths and limitations, and the article discusses their applicability in different scenarios and the constraints they face. Looking ahead, the future of traffic flow prediction is likely to involve more detailed spatio-temporal analysis, the development of more sophisticated network architectures, and the integration of enhanced mechanisms to improve prediction accuracy. As deep learning continues to evolve, these advancements could greatly benefit urban traffic control systems, leading to more efficient and safer transportation networks.
Comprehensive Approaches to Traffic Flow Prediction
Authors: Xue Manqi
Published: November 2024

Intelligent transportation systems require traffic flow prediction, and anomaly detection is the key to ensuring accuracy. Using traditional statistical models to handle complex traffic scenarios is becoming increasingly challenging as urbanization accelerates. Consequently, to enhance the precision of forecasting traffic flow and detecting anomalies, various deep learning techniques, and emerging methods have been introduced. The purpose of this paper is to examine how traditional and deep learning methods, as well as emerging technologies, can be used to predict traffic flow and detect anomalies, including techniques such as the autoregressive integrated moving average model (ARIMA), K-nearest neighbor (KNN) algorithm and convolutional neural network (CNN). The result shows that emerging technologies can improve system performance in multiple traffic environments by accurately extracting features from complex data. The research of this paper provides a theoretical basis for the traffic management department and helps to realize a safer and more efficient advanced transportation system.
Quadruped Robots Gait Planning and Kinematic Analysis
Authors: Wang Yanhe
Published: November 2024

Quadruped robots imitate the gait of animals in nature to achieve flexible and stable movement. Their superior mobility and adaptability have secured an important position in modern robotics. However, quadruped robots still face numerous technical challenges, including complex gait planning. Gait refers to the swinging and supporting movements of the legs and the relative timing of these movements. Different gaits determine various movement forms for quadruped robots, and studying these gaits plays a crucial role in the stable periodic motion of the robot. This paper analyzes three types of gaitsstatic gait, dynamic gait, and quasi-static gaitbased on traditional gait planning methods. Additionally, this paper analyze the movement of the single leg, including the forward and inverse kinematics and the endpoint cycloidal trajectory. Finally, we simulate the stable trot gait in MATLAB, returning the force curve at the foot, joint angles, angular velocity, and angular acceleration curves to complete the verification of the theory.
Research on Path Planning Strategy of Driverless Cars Based on SLAM Data
Authors: Deng Yifan
Published: November 2024

Unmanned vehicles have great development potential. Path planning is the key, and the continuous progress of SLAM technology can provide accurate environmental perception and map construction. However, existing research has deficiencies in aspects such as adaptability to complex environments, multi-objective optimization, and the effectiveness of data fusion, which prompts the research on path-planning strategies for unmanned vehicles based on SLAM data. The study found that the fusion of SLAM technology can better handle the uncertainties and noise in map data in unmanned vehicles, ensuring that the A* algorithm can still plan a reliable path under imprecise environmental information. Simulation results show that in unmanned vehicle path planning, different scenes demand distinct search neighborhoods. For simple scenes, a smaller search neighborhood reduces the computational burden and enables quick path generation. In complex scenes, expanding the search neighborhood can increase the success rate of finding an optimal path. However, it is necessary to carefully control the computational load to guarantee efficient path planning.
Evaluating Machine Learning Techniques for Credit Risk Management: An Algorithmic Comparison
Authors: Han Bowen
Published: November 2024

The evaluation of credit risk has become an indispensable element within the financial sector. This research aims to conduct a comparative examination of several machine learning model's performance in predicting credit risk. This research uses comprehensive metrics to give a comparative examination of six machine learning models, including Random Forests (RF) and Support Vector Machines (SVM). The features used in the training of these models were screened by a combination of Random Forest feature importance and Recursive Feature Elimination (RFE) to ensure model accuracy. After comparing the model results, the study concluded that the Random Forest model combined with RFE performed the best among all the risk columns with an accuracy of 0.71. KNN was the next best with an accuracy of 0.69. Logistic regression was the worst performer among the six models with an accuracy of only 0.29. In the study of this paper, the imbalance of the dataset categories resulted in a weak identification of moderate risk categories. It shows that the model is not well adapted to the dataset with imbalanced categories. The paper validates the viability of machine learning in credit risk by offering useful advice on how it may be applied. To further enhance prediction performance, future studies could investigate the combination of more advanced data-balancing strategies and deep learning approaches.
Enhancing User Experience through Machine Learning-Based Personalized Recommendation Systems: Behavior Data-Driven UI Design
Authors: Liu Yingchia , Xu Yang , Zhou Shiji
Published: November 2024

The application of artificial intelligence (AI) continues to expand across various industries, especially in enhancing user experience and optimizing business processes. Through deep learning and machine learning algorithms, companies are able to analyze user behavior data and provide personalized recommendations, which effectively improve customer satisfaction and loyalty. This data-driven approach enables businesses to stand out in a highly competitive market. This paper explores the key role of machine learning-based personalized recommendation systems in improving user experience and highlights the importance of behavioral data-driven UI design for business success. Research shows that successful recommendation systems not only rely on advanced technology applications, but also need to deeply understand user needs to optimize user interface design and promote effective user interaction. As technology continues to advance, personalized recommendation systems will become more intelligent, and companies should actively explore these innovative ways to increase user engagement and brand loyalty to achieve sustainable business growth.
The Integrated Development of Wireless Networks and AI
Authors: Wang Pengbo
Published: November 2024

This paper combines the current research status of wireless networks and artificial intelligence, delving into the state of wireless network research and its impacts, and highlights the importance and necessity of the integrated development of wireless networks and AI. The aim is to provide readers with an understanding of the current situation and challenges of wireless networks. With the increasing number of mobile communication users, spectrum resources are becoming increasingly scarce, network security issues are more prominent, and the complexity of network architecture and business processes has significantly increased, making it difficult for traditional operations and maintenance methods to meet these demands. Therefore, leveraging AI to build a new mode of communication network operation has become an inevitable choice. The intelligent evolution of wireless networks is an unstoppable trend. In the future, full intelligence will be achieved through digital infrastructure, knowledge introduction, and digital twins, driving the efficient development of wireless networks.
Exploration of the Application of Multimodal Model in Psychological Analysis
Authors: Wang Weihan
Published: November 2024

Multimodal sentiment analysis is one of the important research areas in the field of artificial intelligence today. Multimodal sentiment analysis is to extract features from various human modalities such as facial expressions, body movements, and voice information, perform modal fusion, and finally classify and predict emotions. This technology can be used in multiple scenarios such as stock prediction, product analysis, movie box office prediction, etc., especially psychological state analysis, and has important research significance. This paper introduces two important datasets in multimodal sentiment analysis, namely CMU-MOSEI and IEMOCAP. It also introduces the feature-level fusion, model-level fusion, decision-level fusion and other fusion methods in multimodal fusion methods, and also introduces the semantic feature fusion neural network and sentiment word perception fusion network in multimodal sentiment analysis related models. Finally, the application of multimodal sentiment analysis models in depression and other related mental illnesses and the challenges of multimodal sentiment analysis models in the future are introduced. This paper hopes that the above research will be helpful for multimodal sentiment analysis.
Assessment of the Impact of Anemia on the Treatment of Acute Bronchiolitis Cases
Authors: Dozmez Tugrul , Dundaroz Mehmet
Published: November 2024

Objective: Acute bronchiolitis is a clinical condition characterized by inflammation of the bronchioles, primarily caused by viral agents in children under two years of age. The cornerstone of treatment includes hydration and oxygenation, while patients should be closely monitored for potential complications. Our objective is to evaluate the impact of anemia on treatment outcomes in children diagnosed with acute bronchiolitis.
Methods: Children aged 1-24 months diagnosed with mild or moderate acute bronchiolitis in a tertiary pediatric health and disease clinic were retrospectively included in the study. Demographic characteristics and bronchiolitis severity (mild/moderate) were recorded. Pre- and post-treatment clinical severity, respiratory rate, heart rate, oxygen saturation levels, and bronchiolitis clinical scores were analyzed. The clinical findings and treatment responses of anemic and non-anemic patients were compared. A p-value of <0.05 was considered statistically significant in all analyses.
Results:
A total of 85 patients with a median age of 5.4 months (52.9% male) were included in the study. Anemia was present in 25.9% of the patients. At admission, the respiratory rate (RR) was significantly lower in anemic patients compared to non-anemic patients (median 37 vs 41, p=0.003). No significant differences were observed between anemic and non-anemic groups for clinical respiratory scores (CRS) (median 4.7 vs 4.7, p=0.721), heart rate (HR) (median 135.6 vs 134.3, p=0.798), or oxygen saturation (SaO2) (median 93.1 vs 93.0, p=0.304) at admission. Post-treatment, both groups demonstrated significant improvements in CRS, HR, and SaO2 (p<0.05 for all). However, RR remained lower in the anemic group compared to the non-anemic group (median 32.1 vs 36, p=0.003). The overall change in CRS and other parameters between the anemic and non-anemic groups was not statistically significant (p>0.05).
Conclusion: Mild anemia does not affect the response to treatment for hypoxia in children with mild to moderate acute bronchiolitis.
Sentiment Analysis Of Indonesian Video Streaming Application Services Reviews Using Fine-Tuning Indobert And Aspect Modeling
Authors: Fiarni Cut , Cellose christell
Published: December 2024

Aim : This research aims to analyze user sentiment towards Indonesian video streaming application services on the Google Play Store and map consumers of interest into categories of Over-the-top (OTT) service aspects.

Methods: A sentiment analysis model was developed using a fine-tuned IndoBERT model in conjunction with aspect-based sentiment analysis (ABSA) techniques to identify specific aspects within user reviews and classify their sentiment. A dataset of 32,000 reviews was utilized for this study. The research methodology followed the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. A crucial step in the modeling phase was category mapping, which involved identifying critical aspects of OTT services from the dataset. Word clouds were employed to visualize the most frequent terms associated with each aspect.

Result: The fine-tuned IndoBERT model achieved impressive performance, with an accuracy of 95%, precision of 94%, recall of 94%, and an F1-score of 94%. This indicates the model's effectiveness in classifying sentiment towards specific aspects of OTT services. The final stage of the CRISP-DM deployment process involved creating interactive dashboards using Tableau to visualize the sentiment analysis results.

Conclusion: This research successfully employed a fine-tuned IndoBERT model and aspect-based sentiment analysis techniques to analyze user sentiment toward Indonesian video streaming application services on the Google Play Store. The model deployment through interactive dashboards facilitated the visualization and interpretation of sentiment analysis results. By leveraging these insights, OTT service providers can make data-driven decisions to improve user satisfaction, optimize their services, and gain a competitive edge in the market.
Comparison of the effects of nicardipine and remifentanil on surgical visual field and hemodynamic parameters in tympanomastoidectomy cases
Authors: Saritoy Celal , Karaaslan Erol , Ozkan Ahmet , Tan Mehmet , Gulcek Ilham
Published: December 2024

In this study; We aimed to compare the surgical visual field and hemodynamic effects of Nicardipine and Remifentanil in microscopic tympanomastoidectomy patients. The study was planned as a prospective, double-blind, and randomized clinical trial. A total of 64 patients aged between 18 and 65 were included in the study and the patients were randomized into 2 groups: Group N (Nicardipine=32) and Group R (Remifentanil=32). The input data were measured at pre-induction (T0), 5 minutes post-incision (T1), 20 minutes post-incision (T2), mastoidectomy during the tour (T3), cholesteatoma clearance (T4), grafting (T5), extubation (T6), 10 minutes post-extubation (T7), at the time of admission to the post-anesthesia care unit (PACU) (T8) and the 15th minute (T9) in PACU along with hemodynamic parameters values. In the evaluation of the visibility of the surgical field, the Boezaart Scale was used. There was no significant difference in demographic data in both groups. Considering the hemodynamic parameters between the groups, HR values were higher in Group N during the whole period (T1-T9) (p<0.05). T1, T6, T7, and T8, while DAB and MAP were lower in Group N. No difference was observed between the groups in terms of Boezaart Scoring, nausea-vomiting and pain scoring. Remifentanil and Nicardipine provided similar surgical field visual quality in CH application in tympanomastoidectomy cases. We think that nicardipine may be preferred in cases with sensitivity to the pathological effects of bradycardia because it does not have a bradycardia-producing effect.
The beneficial effects of thymoquinone on viability and differentiation of human adipose tissue-derived mesenchymal stem cells
Authors: Erginsoy Ahsen , Gokdemir Nur , Cinar Venhar , Koseoglu Eda , Gonen Zeynep , Unal Tuba
Published: December 2024

Thymoquinone is the primary active substance extracted from Nigella sativa. It has been reported to have many beneficial and protective effects on several cell types. However, there are limited studies about its effects on mesenchymal stem cells (MSCs). The purpose of this study is to investigate the effect of thymoquinone on the cell viability, proliferation, and differentiation of MSCs obtained from human adipose tissue. MSCs were obtained from the biobank and treated with concentrations of 50 nM, 100 nM, 200 nM, and 300 nM thymoquinone. Cell viability, proliferation, and apoptosis analysis were performed. The effects of thymoquinone on the differentiation of human adipose tissue-derived mesenchymal stem cells (haMSCs) were investigated through adipogenic, osteogenic, and chondrogenic assays. As a result of our study, doses of 50 nM, 100 nM, 200 nM, and 300 nM thymoquinone have been demonstrated to enhance cell proliferation, prevent apoptosis, and contribute to adipogenic, chondrogenic, and osteogenic differentiation. Thymoquinone promotes the viability of haMSCs and induces differentiation into osteogenic, adipogenic, and chondrogenic lienages. Therefore, it is an auxiliary active ingredient that can be used safely in regenerative medicine.
The examination of the relationship between stigma and self-efficacy in women undergoing infertility treatment
Authors: Ozan Yeter , Deger Ugur , ncer Sumbul
Published: December 2024

This research aimed to explore the connection between stigma and self-efficacy in women undergoing infertility treatment. The research was designed as a descriptive and correlational study. The study’s sample included 264 infertile women undergoing treatment for infertility. Data collection was conducted using the ‘personal information form’, the ‘infertility self-efficacy scale,’ and the ‘infertility stigma scale’. Based on the findings, women’s mean score on the Infertility Stigma Scale was 55.0 ± 24.4. The highest mean sub-dimension score was obtained from the public stigma, one of the sub-dimensions of the infertility stigma scale (18.9 ± 4.8). A notable negative correlation was found between the scores of the infertility stigma scale and the infertility self-efficacy scale (r=-0.28, p<0.01). The results of the study indicated that increased levels of stigma led to a decline in women’s self-efficacy. It is recommended that nurses increase their awareness of stigma and provide necessary interventions to increase women's self-efficacy in order to help women with infertility problems adapt to the treatment process.
Investigation of TORCH seroprevalence in a tertiary university hospital
Authors: Kirat Samet
Published: December 2024

This study aimed to investigate the seroprevalence of TORCH (Toxoplasma gondii, other agents, Rubella, Cytomegalovirus (CMV), and herpes simplex virus (HSV)) in pregnant women at a tertiary university hospital and determine the level of immunity in the community. This retrospective study included 1,556 pregnant women aged 18-50 years who visited the Department of Obstetrics and Gynecology between January 2022 and January 2024. Demographic data and TORCH antibody test results were collected from medical records. Seroprevalence rates were compared between the 18-35 and 35-50 age groups. Avidity test results were recorded for pregnant women with positive IgM antibodies against Toxoplasma, Rubella, and CMV. Seroprevalence rates were Toxoplasma IgM (0.3%), Toxoplasma IgG (76%), Rubella IgM (0.4%), Rubella IgG (96.7%), CMV IgM (0.2%), CMV IgG (97.2%), HSV IgG (97.8%), HBsAg (0.6%), Anti-HBs (18.1%), Anti-HCV (0.3%), and Anti-HIV (0.1%). The frequency of previous infections and proportion of vaccinated individuals increased in pregnant women aged 35-50 years. Avidity tests were performed on pregnant women with positive IgM antibodies against Toxoplasma, Rubella, and CMV to confirm the primary infection. The seroprevalence of TORCH infections in pregnant women at a tertiary university hospital was determined, with a higher proportion of previous infections and immunized individuals in the older age group. The results highlight the importance of prenatal screening for TORCH infections to prevent potential complications and guide health policies for infection control strategies.
Fetal biometry measurements in diabetic pregnant women and neonatal outcomes
Authors: Heo Aram , Chung Jinha , Lee Seula , Cho Hyunjin
Published: November 2024

ObjectiveIn this study, we aimed to investigate how fetal head and abdominal circumferences are related to the incidence of neonatal complications in mothers with gestational diabetes mellitus (GDM) and pre-gestational diabetes mellitus (PGDM) compared to normal pregnancies.MethodsWe retrospectively analyzed data of expectant mothers with GDM, PGDM, and normal pregnancies who delivered singleton full-term infants (≥37 weeks) at a tertiary center from January 2013 to December 2022. Ultrasonography-measured fetal weight, fetal head circumference, fetal abdominal circumference, difference between head and abdominal circumference, and head-to-abdominal circumference ratio were assessed. Neonatal outcomes were evaluated based on the rates of admission to the neonatal intensive care unit, intubation, and hypoglycemia. Statistical analyses, including univariate and multivariate analyses, were performed using the SPSS software (IBM Corp., Armonk, NY, USA).ResultsAmong the 473 participants, 175 (37.0%) were mothers with diabetes (DM). A head-to-abdominal circumference ratio <0.95 and a difference of ≥2.5 cm were significantly associated with neonatal hypoglycemia in all mothers with DM, with statistical significance noted only in the PGDM group. No significant association was observed in normal pregnancies.ConclusionOur findings indicate that a head-to-abdominal circumference ratio <0.95 and a ≥2.5 cm difference in circumferences are associated with neonatal hypoglycemia in mothers with DM.
O PAPEL DA ATIVIDADE FÍSICA COMO PREVENÇÃO A ANSIEDADE E DEPRESSÃO
Authors: Daros Rafael , Mello Paulo Cezar , Dalamaria Maurício Júnior
Published: November 2024

Este artigo teve como objetivo compreender o papel da atividade física na prevenção da ansiedade e depressão entre alunos do 8º ano Instituto Estadual de Educação Assis Brasil, localizado no município de David Canabarro/RS. Caracterizado como um estudo descritivo de natureza quantitativa e voltado para análise populacional, a pesquisa utilizou um delineamento transversal para alcançar os objetivos propostos. A análise estatística foi realizada com o auxílio dos softwares SPSS 21.0 e Microsoft Excel, utilizando estatísticas descritivas de frequência e percentuais das variáveis, além de uma análise exploratória em tabelas. O teste Qui-quadrado foi aplicado como método estatístico para medir associações. A contribuição teórica deu-se através da expansão dos conceitos estudados sob uma perspectiva complementar, enquanto a contribuição prática identificou subsídios empíricos com potencial para aprimorar práticas docentes e iniciativas de conscientização. Os resultados apontam que 96% dos alunos praticam atividade física fora do ambiente escolar, embora apenas 56% o façam por mais de uma hora semanalmente. Ademais, 80% dos estudantes relataram já ter ouvido falar sobre ansiedade na escola, mas apenas 36% a consideram um problema comum. Observou-se também que 84% dos alunos identificam fatores como problemas familiares, bullying e pressão acadêmica como agravantes para quadros de ansiedade e depressão, enquanto 40% acreditam que a Educação Física pode ser muito benéfica para mitigar esses sintomas.
DESENVOLVIMENTO DE UM CRM EDUCACIONAL PARA AUXÍLIO DA GESTÃO DE RELACIONAMENTO COM O CLIENTE
Authors: Valente Mateus de Sousa , Coelho Arthur Brenno Ribeiro , Ribeiro Humberto Patrick Lacerda
Published: November 2024

Atualmente, os clientes estão cada vez mais bem informados e com muito mais expectativas em relação a serviços e produtos. Aliado à grande disponibilidade de preços, modelos, serviços e fornecedores, atrair e reter clientes é uma tarefa difícil, mas que pode contar com um diferencial: O relacionamento com o cliente. A preocupação com o atendimento ao cliente pode destacar uma organização, tornada altamente competitiva. Neste contexto, uma importante ferramenta é utilizada, o CRM, um sistema destinado a realizar o gerenciamento do relacionamento com o cliente. Quando se trata do ambiente educacional há pouca opções no mercado capazes de atender completamente o relacionamento da instituição com o aluno. Este projeto tem como objetivo produzir um CRM que seja capaz de acompanhar o aluno desde o processo seletivo até o final de sua graduação e também atuar na gestão de permanência para evitar evasão de alunos.
OS IMPACTOS DO USO DAS REDES SOCIAIS NA SAÚDE MENTAL DOS ADOLESCENTES: UMA REVISÃO BIBLIOGRÁFICA
Authors: Ruggeri Henrique Barros , Silva Henrique Paiva da , Tomazine Gustavo Rodrigo
Published: December 2024

Introdução: As redes sociais se tornaram ferramentas de uso significativo no cotidiano de toda a população, proporcionando entretenimento e acesso à informação de forma democrática. Nas últimas décadas, o aumento dos problemas relacionados à saúde mental tem sido notavelmente associado ao uso das mídias sociais. De acordo com dados do Instituto Brasileiro de Geografia e Estatística (IBGE, 2021), o uso da internet, principalmente através de dispositivos móveis, aumentou de 79,5% em 2019 para 84,7% em 2021. Essa tendência de crescimento é observada em todos os grupos etários com maior incidência nas crianças e adolescentes. Ademais, a pandemia do coronavírus resultou em altos índices de problemas relacionado à saúde mental, tais como transtorno de estresse pós-traumático (TEPT), ansiedade, depressão entre outros, diante do quadro de confinamento que todos foram submetidos. Essa pesquisa demonstra a crescente preocupação com a saúde mental dos jovens na sociedade atual. No entanto, ainda são limitados os estudos que exploram a relação entre o uso das redes sociais e a saúde mental. Objetivo: Analisar se realmente há relação com o desenvolvimento de distúrbios da saúde mental correlacionado com o uso excessivo das redes sociais e quais seriam os mecanismos e mudança social na vida das pessoas. Métodos: Trata-se de um estudo realizado por meio de levantamento bibliográfico, segundo SOUZA; SILVA e CARVALHO, 2010. Será realizado uma revisão de artigos científicos publicados nos últimos 10 anos nas bases eletrônicas PubMed/Medline, SciELO. O PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) foi utilizado para organizar os artigos relevantes.
A ATUAÇÃO DO ENFERMEIRO NA PREVENÇÃO DO CÂNCER DE MAMA
Authors: Costa Dionas Mendes da , Leão Irlana Pereira , Vale Francisca Ribeiro , Silva Francisca Solange Oliveira , Barros Girlene Oliveira , Costa Zenilce Pereira de Oliveira , Alencar Pedro Henrique Rodrigues
Published: December 2024

O câncer de mama está entre as neoplasias com maior ocorrência no mundo e mesmo com todo avanço em relação ao diagnóstico e tratamento, é visto por muitas pessoas como uma sentença de morte. Porém, se diagnosticado no início este pode ser uma doença de tratamento rápido e não doloroso para a paciente. Para isso é necessário que a mulher saiba o que é a patologia, como ela se desenvolve, bem como quais são os meios de prevenção, informações essas que podem ser transmitidas pelo o enfermeiro na Unidade Básica de Saúde. O trabalho teve como objetivo geral identificar na literatura cientifica nacional, como ocorre a atuação do enfermeiro na prevenção do câncer de mama. A metodologia usada no estudo foi uma pesquisa bibliográfica, exploratória, descritiva, de caráter qualitativo, baseado no método de revisão integrativa, tendo como pergunta norteadora “como ocorre a atuação do enfermeiro na prevenção do câncer de mama?”. O levantamento dos dados foi realizado no ano de 2024. As bases de dados pesquisadas foram: A Scientific Electronic Library Online (SCIELO), Biblioteca Virtual em Saúde (BVS), Bases de dados em enfermagem (BDENF), Google Acadêmico e Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS). Aplicados os critérios de inclusão e exclusão foram selecionados 09 artigos encontrados nas bases de dados e disponíveis em português. Em relação as características dos artigos, o ano de 2017 teve maior prevalência comparado aos outros anos. Dentro das possibilidades da pesquisa, foi possível caracterizar a realidade da atuação do enfermeiro na prevenção do câncer mama.  Evidenciou nos estudos que o enfermeiro para dá total assistência tanto a mulher como seus familiares deve estar bem capacitado para enfrentar os obstáculos envolvidos no câncer de mama, para isso é importante o investimento de políticas públicas na capacitação destes profissionais, para que os mesmos tenham conhecimentos específicos na área oncológica e do câncer mama, para que possam desenvolver com excelência ações em saúde voltadas para a prevenção da doença.
Evaluating HUFLIT Lecturers’ Perspectives on ChatGPT’s Capabilities in Designing English Testing and Assessment
Authors: Le Thi Thu Huong
Published: November 2024

Despite its widespread adoption in education, the potential of ChatGPT in English language teaching and learning, especially in testing and assessment design, still needs to be studied. This paper, therefore, seeks to investigate lecturers’ perspectives on the capabilities of ChatGPT in designing English testing and assessment with the participation of thirty lecturers of the Faculty of Foreign Languages at HUFLIT. Data from the questionnaire and semi-structured interview suggest that ChatGPT is a promising tool for designing English testing and assessment owing to its versatility in drafting quicker, more diverse, and more detailed types of questions, resulting in enhanced time efficiency and reduced efforts in test design. The greatest areas of concern, however, lie in ChatGPT's inability to generate questions that match the specific learning outcomes and students' linguistic abilities. The study contributes to providing lecturers with in-depth insights into the potentialities and challenges of ChatGPT in testing and assessment design, assisting them in employing this AI tool more critically and effectively.
The strategic role of the senate in leadership selection in higher education institutions: A case study of UIN Sunan Kalijaga
Authors: Maragustam Maragustam , Khodijah Siti
Published: November 2024

This study aims to analyze the strategic role of the Senate in the selection of leadership at UIN Sunan Kalijaga. This research critiques the reduction of the Senate’s authority due to recent regulatory changes and examines how these changes affect leadership selection and governance in higher education institutions. This research employs a mixed-method approach, combining qualitative document analysis and quantitative survey methods. Key documents such as Minister of Religious Affairs Regulation No. 68/2015 and related decrees were analyzed. Additionally, a survey was distributed to Senate members to assess their perceptions of the regulatory changes and their effects on the leadership selection process. The findings reveal that the reduced authority of the Senate significantly impacts the transparency and accountability of the leadership election process. Senate members express concerns that external political influences and bureaucratic involvement have undermined the meritocratic values that traditionally guided leadership selection. The study is limited to a case study of UIN Sunan Kalijaga, which may not fully represent other Islamic universities. Future research should explore the effects of similar regulatory changes in different institutional contexts to enhance generalizability. This research provides a critical perspective on the effects of governmental intervention in academic governance, particularly in leadership elections at Islamic higher education institutions. It highlights the tension between maintaining academic autonomy and the influence of external regulations.
Designing Cultural-Based Worksheets (LKPD) in Osing Village Culture for Elementary School Geometry Learning
Authors: Septohadi Theo , Desinta Shabilla , Udhmiyah Soraya Himmah , Setiyani Setiyani , Santi Dina Pratiwi Dwi
Published: November 2024

The aim of this research is to be able to use it as a learning resource for elementary school mathematics using the Osing traditional house, and also to introduce the Osing traditional house to the community. This research is qualitative research that uses an ethnographic approach, and also collects data by surveying students while building rooms in Osing traditional houses and also interviews with teachers. The school sample was selected based on student ability, namely students with high, medium and low ability. A sample of 8 grade 5 students were involved in this research. After the data was collected, the survey data was analyzed descriptively, and the interview data was analyzed by data collection and drawing conclusions. Based on the results of student perceptions, with the largest percentage, almost all students were able to work on the LKPD questions given by the author.
Statistique pour mathématiciens. Un premier cours rigoureux
Authors: Panaretos Victor M.
Published: November 2024

Cet ouvrage propose une introduction claire et rigoureuse aux méthodes et notions principales de la statistique inférentielle, dont l’apprentissage et la maîtrise sont indispensables à tous les étudiants en science. Tout spécialement conçu pour les étudiants en mathématiques suivant un premier cours de statistique, sa caractéristique disctinctive est qu’il maintient un niveau élémentaire et toujours didactique sans sacrifier à la rigueur mathématique. Il expose de manière pédagogique l’origine des concepts statistiques, et les inscrit dans un champ de compréhension global. Il se positionne clairement comme un ouvrage de statistique pour mathématiciens, à la différence des nombreux autres ouvrages en statistique mathématique: le but n’est pas de traiter les aspects plutôt théoriques de la statistique, mais de procurer une introduction méthodologique exempte de recettes, de résultats sans démonstration ou de formules toute faites. Une nouvelle référence dans son domaine, augmentée de nombreux exercices résolus d’auto-évaluation.
La recepció de l'obra d'Arnau de Vilanova
Authors: Mensa Jaume , Giralt Sebastià , Arrizabalaga Jon , De Puig Jaume
Published: November 2024

Actes de la IV Trobada Internacional d’Estudis Arnaldians, organitzada per Jaume de Puig i Jaume Mensa amb Jon Arrizabalaga i Sebastià Giralt.
Studi Komparatif Model Problem Based Learning (PBL) dan Model Talking Stick Terhadap Peningkatan Keterampilan Berbicara Siswa SDN Pembina Tolitoli
Authors: Rahim Fitriani Abd , BK Muh. Khaerul Ummah , Marto Hasia
Published: November 2024

This study was conducted to identify the differences between classes that implement the Problem Based Learning (PBL) model and classes that implement the Talking Stick model. The purpose of this study was to determine the description of the application of the Problem Based model and the application of the Talking Stick model of students at SDN Pembina Tolitoli, to determine the description of the speaking skills of students at SDN Pembina Tolitoli, to determine whether the Problem Based Learning (PBL) model and the Talking Stick model have a significant effect on improving the speaking skills of students at SDN Pembina Tolitoli, and to determine the differences in comparative results between the Problem Based Learning (PBL) model and the Talking Stick model on improving the speaking skills of students at SDN Pembina Tolitoli. The type of research used in this study is quantitative research using the pre-experimental design method with a one-shot case study design, which was carried out on students at SDN Pembina Tolitoli with a total population of 633 students. The research sample consisted of three classes, namely class VA with 30 students, class VB with 29 students, and class VC with 29 students, which were selected using purposive sampling. Data collection was done through observation and testing, and data analysis using SPSS 25 software. The results of the study showed that the significance value of the Problem Based Learning (PBL) model was 0.212> 0.05 and the Talking Stick model was 0.000 <0.05. Thus, there is a significant influence where, Fcount> Ftable (41.765> 4.88) it can be concluded that Ha is accepted and H0 is rejected which means that the independent variable affects the dependent variable.
Komparasi Penerapan Model Pembelajaran Berbasis Proyek dengan Model Pembelajaran Inkuiri Terbimbing Terhadap Pemahaman IPA (Natural Sains) Siswa di SDN Pembina Tolitoli
Authors: Idris Nuramaliah , BK Muh. Khaerul Ummah , Marto Hasia
Published: November 2024

This study aims to compare the implementation of project-based learning models with guided inquiry learning models in improving students' understanding of science materials at SDN Pembina Tolitoli. The type of research used in this study is quantitative using the true experiment method of pretest-posttest type with a comparative study conducted on students of SDN Pembina Tolitoli with a total population of 633 students. The research sample consisted of three classes, namely class VI A with 28 students, class VI B with 30 students, and class VI C with 26 students selected using probability sampling. Data collection was carried out through observation and testing, and data analysis using SPSS 25 software. The results showed that the significance value of the project-based learning model (PJBL) was 0.737 <0.05 and the guided inquiry model was 0.906 <0.05. Thus, it can be concluded that the implementation of the project-based learning model (PJBL) and the implementation of the guided inquiry model have been effectively given to classes VB and VC, the results of Indonesian language lessons of students of SDN Pembina Tolitoli and there are differences between classes that implement the project-based learning model (PJBL) and the implementation of the guided inquiry model where the results in the class implementing the project-based learning model (PJBL) are 88.86 while the implementation of the Guided Inquiry model is 88.92.
Internasionalisasi Praktik Permeabilitas Sistem Pendidikan Tinggi di Swiss
Authors: Hasanah Eni Uswatun , Sassi Komarudin
Published: November 2024

This study aims to analyze the internationalization practices and permeability of the Swiss higher education system. Through a literature review and case studies, this research reveals how Switzerland has succeeded in building an open and inclusive higher education system for international students. The research results show that Switzerland has implemented various strategies to increase the permeability of its higher education system, including: (1) offering diverse and high-quality study programs in various languages, (2) facilitating the mobility of students and staff, (3) establishing collaborations with universities and research institutions throughout the world, and (4) creating a multicultural learning environment. This study concludes that the successful internationalization of the Swiss higher education system can be a model for other countries wishing to improve the quality and competitiveness of their higher education at the global level. However, further research is needed to identify the challenges and opportunities faced by Switzerland in maintaining and improving its position as an attractive study destination for international Student
Psychological Interventions for Reducing Public Speaking Anxiety in Adults with Speech Impairments
Authors: Najeeb Sidra , Bibi Amna , Abdullah Syed Muhammad , Imran Hassan , Shafique Farwa
Published: November 2024

This study aimed to evaluate the effectiveness of psychological interventions, specifically cognitive-behavioural therapy (CBT), mindfulness-based stress reduction (MBSR), and exposure therapy, in reducing public speaking anxiety in adults with speech impairments. Public speaking anxiety is prevalent in this population, often exacerbated by communication challenges, which limit participation in social and professional contexts. Previous research supports the effectiveness of these interventions for general social anxiety, but limited evidence exists on their specific application for individuals with speech impairments. A quantitative, randomized, controlled design was employed with a sample of n=100 adults diagnosed with speech impairments and public speaking anxiety. Participants were randomly assigned to one of the three intervention groups or a control group, with data collected at baseline, post-intervention, and follow-up using the Public Speaking Anxiety Scale (PSAS), Brief Fear of Negative Evaluation Scale (BFNE), and Connor-Davidson 2023 Resilience Scale (CD-RISC). Results indicated significant reductions in anxiety across all intervention groups compared to the control, with CBT showing the largest effect (F(2, 188) = 85.3, p < .001). The findings highlight the potential of psychological interventions to reduce public speaking anxiety and improve resilience in adults with speech impairments, emphasizing the need for integrated treatment approaches. Future research should explore combined therapeutic approaches and include qualitative data for a more comprehensive understanding.
Imposição de multa para ausência à audiência autocompositiva: violação do princípio da autonomia da vontade?
Authors: Fabrício Letícia Lima , Brito Marcella Mourão de , Damasceno Mara Lívia Moreira
Published: December 2024

A sociedade atual percebe o conflito como um fenômeno negativo. Nesse contexto, a mediação de conflitos foi estabelecida no Código de Processo Civil com o intuito de reestabelecer o diálogo e, transversalmente, proporcionar o consenso. Assim, analisa-se o artigo 334, §8º do CPC para examinar se é positivo ao trazer uma penalidade pecuniária, em casos de ausência injustificada em audiência de mediação, ou se obsta o funcionamento do instituto ao interferir na autonomia da vontade. Examinou-se o processo civil constitucionalizado e o método consensual na legislação processual civil brasileira, e sua influência no acesso à justiça. Utilizou-se pesquisa bibliográfica, de cunho qualitativo, utilizando o método hipotético dedutivo, com natureza exploratória. Ao final, verifica-se que a multa disciplinada no dispositivo legal citado é benéfica para a mediação, não havendo violação ao princípio da autonomia da vontade. Contudo, deve-se ponderar as circunstâncias concretas, a fim de preservar a autodeterminação dos sujeitos.
Determinação do estoque de segurança de subconjuntos de equipamentos móveis com base no histórico de falhas
Authors: Monteiro Gleiton Jones Nery , Viana Herbert Ricardo Garcia
Published: November 2024

Este estudo analisa o dimensionamento do estoque de segurança para subconjuntos de equipamentos móveis, fundamentando-se no histórico de falhas e em metodologias estatísticas. A pesquisa adota uma abordagem exploratória e aplicada, com base em dados coletados pelo software Smartmine. Foram utilizados métodos como FMEA, FTA e algoritmos de classificação para identificar os subconjuntos mais críticos, considerando critérios como segurança, meio ambiente, custo e impacto na produção. O cálculo do estoque de segurança incluiu variáveis como desvio padrão, nível de serviço e lead time, utilizando a distribuição normal padrão para maior precisão. Os resultados destacaram a relevância do uso de dados históricos e ferramentas estatísticas no ajuste eficiente de estoques, garantindo a disponibilidade de peças críticas e otimizando custos operacionais. Dificuldades foram observadas na padronização dos dados e na definição de critérios de criticidade, evidenciando a necessidade de maior integração entre as áreas de manutenção e logística. Sugere-se, para trabalhos futuros, a exploração de tecnologias avançadas, como inteligência artificial, e a ampliação do estudo para outros setores industriais.
Políticas públicas educacionais e o contexto de pandemia da Covid-19: desafios para a efetivação da educação especial e da perspectiva de inclusão no Brasil
Authors: Santos Rafael Gonçalves dos , Piana Maria Cristina
Published: November 2024

O presente trabalho parte de um breve estudo bibliográfico e documental, visando refletir os desafios no âmbito das políticas públicas educacionais na perspectiva da Educação Inclusiva, acentuados pelo contexto de pandemia de Covid-19. Fundamentadas a partir do referencial teórico crítico-dialético, as reflexões deste ensaio permitem compreender sobre os direitos historicamente conquistados de estudantes com Transtornos do Espectro Autista (TEA), assim como o trabalho de profissionais que realizam atendimento educacional especializado com vistas à educação inclusiva. Nesse sentido, também serão elucidados os principais desafios intensificados pela atual crise sanitária do novo coronavírus (Covid-19) e de seus impactos mais emergentes no que concerne à construção de um sistema educacional de qualidade, inclusivo e diversificado socialmente. A partir desta proposição, é preciso reafirmar a centralidade do papel de profissionais que atuam na promoção de Atendimento Educacional Especializado (AEE) nas redes de ensino, cujo trabalho é insubstituível na organização e planejamento de processos pedagógicos de qualidade. Dentre os princípios previstos no âmbito da educação, é preciso destacar a promoção da igualdade nas condições de acesso e permanência à educação, além de contribuir para a realização do AEE na esfera da Educação Especial, garantindo o atendimento das necessidades dos estudantes com deficiência, principalmente no ensino regular. Assim, seguimos traçando lutas estratégicas para a defesa e para a resistência diante do contingenciamento dos gastos públicos para o financiamento de políticas educacionais, contemplando a Educação Inclusiva de modo a atender as suas particularidades na sua efetivação.
Crescimento inicial de espécime arbórea do bioma Caatinga, submetida a adubação mineral e diferentes lâminas de irrigação
Authors: Silva Jodiene do Nascimento , Silva Viviane Farias , Borges Igo Marinho Serafim , Firmino Lílian de Queiroz , Melo Nádia Diniz de , Morais Gerlanny Vieira de , Oliveira Elisabete de Farias Sousa , Pessoa Dihego de Souza
Published: November 2024

O bioma da caatinga apresenta resistência a escassez hídrica, no entanto a produção de mudas nativas desse bioma para recuperação de áreas degradadas é uma prática muito comum. Portanto o objetivo desse é estudo avaliar o crescimento inicial de espécime arbórea do Bioma Caatinga, submetida a adubação mineral e diferentes lâminas de irrigação. A área do estudo foi a casa de vegetação da Universidade Federal de Campina Grande (UFCG), Campus de Patos – PB; A água utilizada para irrigação foi proveniente da concessionária responsável, a CAGEPA; O período de rega foi de 2 dias; A espécime florestal escolhida foi a Erythrina velutina (Mulungu) submetidas a três (3) doses dos macronutrientes NPK (0% NPK (D1), 50% NPK (D2) e 100% NPK (D3), para 5 lâminas de irrigação (L). As avaliações das mudas foram aos 30, 60 e 90 dias. Aplicando-se, por fim, o delineamento experimental inteiramente casualidade, com esquema fatorial 3x5, totalizando 45 unidades experimentais. Os dados obtidos foram submetidos à análise de variância através do software estatístico SISVAR 5.6. Foram obtidos como resultados da análise de variância interações significativas a 5% para altura de planta, diâmetro de caule e lâmina de irrigação aos 30 e 90 DAS; enquanto que diâmetro de caule, o fator de doses de NPK e lâmina de irrigação foram significativos a nível de 1%. Conclui-se que a espécie supracitada por ser uma espécie do bioma da caatinga não possui tanta exigência nutricional, e pode-se obter bons resultados sem a adubação mineral, e ainda se conclui que a Erythrina velutina (Mulungu) apresenta melhor desenvolvimento inicial irrigada com 80% de sua necessidade hídrica.