bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Brand Perception and Relevance of Sukarara Woven Fabric Motifs in the Context of Cultural Identity and Market
Authors: Kembang Lale Puspita , Dewi Rispawati  , Maryanti Sri
Published: January 2025

This study aims to analyze the level of Brand Awareness of Sukarara woven fabric motifs among domestic tourists. The method used in this study is a quantitative survey with data collection through questionnaires distributed to tourists visiting the area. The research sample consisted of 120 respondents selected through non-probability sampling techniques. The results of the study indicate that the level of Brand Awareness of Sukarara woven fabric motifs is at the brand recall level which is included in the high category, with an average value of 2.89 which is on a scale of 2.52 - 3.27. This finding indicates that domestic tourists have recognized and remembered Sukarara woven fabric motifs, although the product has not been the main choice when buying woven fabrics. This study provides important insights for craftsmen and marketers to formulate more effective marketing strategies to increase the attractiveness and relevance of Sukarara woven fabrics in the market so that they can transform from being simply recognized to being the main choice among consumers. Thus, this study is expected to contribute to the development of the local weaving industry and cultural preservation through increased brand awareness.
Analysis of Export, Investment, and Corruption Perceptions’ Influence on GDP Per Capita of 5 Emerging Countries in ASEAN
Authors: Arina Nur Fitri  , Muhammad Yudhi Lutfi
Published: January 2025

The purpose of this study is to examine how the GDP per capita of 5 ASEAN countries is impacted by exports, investment, and perceptions of corruption. Indonesia, Thailand, Malaysia, the Philippines, and Vietnam are included in this study and categorized as emerging ASEAN. Panel data regression using the Fixed Effect Model (FEM) is the technique employed in this study. The results show that the GDP per capita of the 5 ASEAN countries is significantly impacted by exports and the perception of corruption. Exports are significant at the 5% level whereas the perception of corruption is important at the 10% level. Exports of good and services and low corruption rates will bring the increase of GDP per capita of 5 ASEAN countries. However, investment has found to negatively effect GDP per capita of 5 ASEAN countries. Evaluation of the effectiveness of investment related policies are needed to maximize the spillover effects of investment so it can have positive impact on the economy.
Método avaliativo de risco a inundação em áreas urbanas do Rio Grande do Norte.
Authors: Ferreira Mauricio Tolstoi dos Santos , Lúcio Paulo Sergio , Neves Josemir de Araujo
Published: January 2025

A urbanização brasileira ocorreu de uma forma diferenciada, nessa perspectiva os locais mais atrativos foram sendo ocupados pelo mercado imobiliário, enquanto isso a população com menor poder aquisitivo era forçada a ocupar áreas marginais das cidades, por serem economicamente atrativas, mas bastante perigosas. No estado do Rio Grande do Norte, as inundações é o segundo maior tipo de desastre recorrente. Do ano de 2003 a 2023 esse tipo de ocorrência chegou a 8%, perdendo apenas para as estiagens que somavam 92%, diante disso, ficamos defronte a seguinte problemática: qual é o comportamento das cheias do rio Piranhas-Açu? Qual o grau de risco de inundação das áreas urbanas de Alto do Rodrigues, Pendências e Carnaubais? Utilizamos a metodologia desenvolvida por Ferreira (2019). Que utilizou-se de mapas emergenciais de inundação combinando com o índice de vulnerabilidade, para a definição de um mapa final de risco. Sendo que três anos (1988; 2005 e 1985) foram selecionados para a construção dos Mapas emergenciais de inundação. Nos resultados, os mapas de risco exibiram gradações diferenciadas, que se estendem entre o leito menor e o maior, esse fator demonstrou que os municípios exercem certa pressão nos elementos ambientais, como os rios, tanto em Carnaubais como Pendências a zona de risco está muito próxima da malha urbana da cidade, no caso de Alto do Rodrigues a área de risco se projeta dentro da malha urbana da cidade, isso tudo demonstra o quanto pode estar vulneráveis os municípios e seus habitantes, de um país de dimensões continentais que nem o Brasil.
Evaluation of Reaction Time During Asynchronous Oddball Paradigm
Authors: Uğurgöl Elif , Yeşilbaş Demet , Altınkaynak Miray , Batbat Turgay , Güven Ayşegül , Dolu Nazan , Demirci Esra , İzzetoğlu Meltem
Published: January 2025

Reaction time, defined as the time between the presentation of a stimulus and the response to that stimulus, is widely used for evaluating cognitive functions. Prolonged reaction time is associated with delayed neuronal activity. The type, complexity and length of the stimulus affect reaction time. This study aimed to investigate whether there were differences in reaction time in the auditory and visual oddball paradigms, which are frequently used in cognitive studies and to examine the effect of prolonged task duration on reaction time. The study was conducted on 19 male healthy university students aged between 18-23 years.  A dual-task with an oddball paradigm was applied to the participants. The paradigm consisted of 160 stimuli including 32 auditory targets, 32 visual targets and 96 standard stimuli. The participants were asked to press buttons as soon as they perceive the target stimuli. Reaction time of participants to each target was calculated automatically. The reaction time for both tasks compared statistically and it was observed that visual reaction time was significantly longer than auditory reaction time (p= 0,042). In addition, to examine the effect of task duration on reaction time, the first ten and last ten target stimuli were investigated in both tasks. It was observed that the reaction time was prolonged and errors increased towards the end of the task (p<0,01). As a result, this study demonstrated that auditory reaction time was shorter than visual reaction time, and revealed that the type and length of the stimulus should be considered in reaction time studies.
An Overview of Forecasting Studies Applied in Different Areas of The Aviation Industry Between 2020 and 2024
Authors: Uçar Ukbe
Published: January 2025

The aviation industry is dynamic due to many uncertain processes such as meteorological conditions, economy, wars, pandemics and aircraft failures. This situation makes decision-making processes difficult and decision makers need forecasting techniques to solve this problem. In this way, operational efficiency, line, hangar and flight safety can be maximized while flight and maintenance related costs can be minimized. Issues such as Air Traffic Control, breakdown and maintenance processes, the development of the number of passengers and aircraft in the coming years, accident risks, harmful gas emissions over the years and the need for personnel and aircraft are the application areas of forecasting techniques in aviation. In this context, forecasting methods also serve as a cornerstone for sustainable aviation. In this article, forecasting studies carried out in different categories in the aviation sector between 2020-2024 are systematically analyzed in terms of problems and methods applied. Results of the research, Machine learning, deep learning, data mining, statistical techniques and data mining have been found to be used extensively in solving problems. In addition, researchers have conducted intensive studies on the effects of the pandemic period and the recovery of the sector and focused on CO2 emissions.  The benefits of using these methods for companies and decision makers are presented in the studies.    This paper aims to provide a critical indication of the future of air transportation by systematically reviewing forecasting studies over the years. The review reveals the importance of forecasting in aviation and contributes positively to the creation of a sustainable, safe and efficient transportation sector.
Comparison of sterile inhalation water in oxygen humidifier bottles with tap water and investigation of antibacterial effects and endotoxin limits
Authors: Keklikcioğlu Çakmak Neşe , Mavuş Osman , İşcan Ayşenur , Alegöz Gökhan , Özaydın Fatih
Published: January 2025

In hospitals, medical air feeders and oxygen are used to create dry gas. Patients who need oxygen may experience upper respiratory tract problems due to inhalation of dry oxygen. Therefore, the airway must be humidified while the patient is receiving oxygen. This humidification process is carried out using sterilized water. Oxygen flowmeter is an instrument used in hospitals to adjust the level of oxygen gases. Sterile inhalation waters connected to these flowmeters are used in inpatient wards, intensive care units, operating rooms and all areas where oxygen needs to be administered to the patient. In this study, parameters that will affect water quality such as endotoxin limits, antimicrobial effects and heavy metals contained in untreated, non-sterile tap water and disposable sterile inhalation waters were compared with international norms such as ISO 22519 Standard and European Pharmacopoeia. As a result of the analyzes, it has been proven that the waters contained in the sterile inhalation system produced by Estaş comply with international norms.
In addition, it is foreseen that if sterile water cannot be used in hospitals, antibacterial, antiviral, antimicrobial negative effects will occur or if the same water is used more than once, cross-contamination will occur and different indications will occur. The use of sterile inhalation waters in accordance with the instructions for use reduces the risk of possible infection and ensures that the patient's saturation value reaches the desired level and provides ease of breathing. This solution aims to improve patient care conditions by reducing the risk of infection.
The Impact of Insulation Material Selection on Energy Efficiency Based on Regional Climate Conditions: An Analysis Using Energy3D Simulations
Authors: Sari Mihriban , Aksoy Kaan
Published: January 2025

In recent years, energy conservation and efficiency have gained significant importance globally. Within this scope, increasing the use of renewable energy sources and reducing the energy consumption of buildings, which account for a substantial share of energy use, are among the primary objectives. Insulation applications, in particular, offer a cost-effective and environmentally friendly solution to reduce heating energy demand. Optimal insulation thickness balances insulation and fuel costs, optimizing expenses while reducing the environmental impacts associated with fuel consumption. Consequently, numerous studies in recent years have focused on optimizing insulation thickness. Moreover, in the residential sector, the largest portion of energy consumption is generally attributed to air conditioning systems used for maintaining thermal comfort. In this context, proper insulation applications using energy-saving materials emerge as an effective method to reduce energy costs by minimizing heat loss or gain. This study analyzes the impact of insulation material selection on energy efficiency based on regional climate conditions using Energy3D simulations. The effects of insulation materials applied in different climatic zones and various cities on energy consumption, heating, and cooling loads were examined. The study compares the energy efficiency of insulated and non-insulated buildings under the climatic conditions of different regions in Turkey, including İzmir, Antalya, Istanbul, and Tokat. Simulation results revealed that the use of insulation materials significantly reduces energy consumption and overall costs. Notably, the use of Expanded Polystyrene (EPS) (Dalmaçyalı® Double Carbon Thermal Insulation Board) and Stone Wool (Dalmaçyalı® Stonewool SW035) materials yielded significant improvements in energy efficiency. EPS material demonstrated the highest energy savings due to its low U-value, while Stone Wool provided additional benefits such as fire safety. Additionally, insulation thickness was found to have a considerable impact on energy efficiency. Insulation applications with a thickness of 10–12 cm emerged as the optimal solution for minimizing energy consumption and costs. The study highlights the critical importance of selecting insulation materials suitable for regional climatic conditions in terms of energy efficiency and cost-effectiveness. The findings provide valuable insights for developing sustainable and efficient building designs.
Expectations of Headquarters Employees from ERP Systems in the Turkish Construction Sector
Authors: Yavuz Ecem , Gelişen Gökhan
Published: January 2025

Turkey's construction industry constitutes an important economic power with large projects and large-scale construction activities. Effective management of construction projects requires efficient use of workforce and resources. With today's digitalization and integration processes gaining momentum, Enterprise Resource Planning (ERP) Systems are being used effectively. These systems offer benefits such as providing quick access to information, organizing business processes, using resources more effectively and increasing coordination. In this context, the place of ERP Systems in the sector is increasing. In order for ERP systems to be used effectively, they must be able to meet users' expectations. The main purpose of this research is to thoroughly investigate the expectations of head office personnel in the Turkish construction industry regarding ERP systems and to evaluate to what extent these expectations are met after implementation. A survey was conducted to obtain information about the expectations of employees in the head offices of Turkish construction companies that use and do not use ERP systems and to evaluate the satisfaction levels of employees in the headquarters of companies that use ERP. The results of this study are expected to provide valuable information to both ERP developers and construction companies.
Hydrostatic And Hydrodynamic Bearing On Grinding Machine
Authors: Talih Galip , Kandemir Sani , Bagcı Mehmet
Published: January 2025

In recent years, the demand for hydrostatic bearing application has been increasing due to the possibilities and advantages they offer. Advances in the understanding of hydrostatic lubrication and the improvement of computer technology have opened new avenues for improving hydrostatic bearing performance and precision. This paper reviews the geometry, advantages and disadvantages of hydrostatic bearings, including the hydraulic system. Hydrostatic bearing applications operate using relatively high viscosity oil, but have the potential for extremely low motion errors with high damping, high stiffness and high load capacity. Another important advantage of hydrostatic bearing is the negligible wear of the sliding surfaces, which are completely separated by the oil film. In general, pocket depths of 0.5-5 mm and bearing clearance of 0.001-0.01 mm are preferred in hydrostatic bearings. In hydrodynamically lubricated bearings, the friction efficiency between the spindle and the bearing can be controlled when the spindle shaft starts the rotational movement of the spindle shaft while the spindle shaft passes from the stationary state to the contact state and when the appropriate speed is reached. Therefore, the liquid film thickness in hydrodynamic bearings is at the level of 0.0254 mm. In order for these systems to operate safely and efficiently, the presence of a suitable lubricant is always required. Hydrostatic grinding and hydrodynamic grinding machines were used in the experiments carried out within the scope of this study, and especially the crusher roll with dimensions of 250*1000 mm was used in the experiments. Depending on the use of the grinding machine, the advantages of hydrodynamic bearing and hydrostatic bearing options were compared. In this comparison data, especially the results of how much current these two different bearing applications draw during the operation of the grinding machine and what level of surface roughness they produce are analyzed.
Determination of the parameter studies of different resins with DLP production technology, which is an additive manufacturing method, and determination of their suitability for production and use
Authors: Keklikcioğlu Çakmak Neşe , Mavus Osman , İşcan Ayşenur , Alegöz Gökhan , Özaydın Fatih , Özaydın Funda Yaren
Published: January 2025

Additive manufacturing is used as a production method in many sectors nowadays. This method, which is used as an alternative to machining, is often preferred as an alternative to mass production lines in order to easily produce different geometries and different materials.
Additive manufacturing has diversified with different production methods and different materials. For example, FDA - SLA - FDM - LASER etc.
In our study, DLP (Digital Light Processing) production method, in which photopolymer resins are used as raw materials, was preferred.
There are different reasons why we prefer this method;
1) DLP devices of our own production have adjustable parameter infrastructure for different resins.
2) The mechanical and characteristic properties of the materials preferred in the moving parts of the products that we plan to commercialize within the company should have similar mechanical and characteristic properties with the resins evaluated in this study.
Within the scope of the planned study, 4 different resins were determined to meet the expected properties and parameter studies were carried out. As a result of the parameter studies, the desired results were obtained in 2 different resins and their suitability for use was confirmed.
Parameters and visuals of the resins studied are given in table 1-2.With this work, we have developed the technological production infrastructure and incorporated a new material and production method into the company. In this way, we made a profit from mold - cutting tool, raw material etc. expenses.
Churn Detection and User Classification via Machine Learning in the Food and Beverage Sector
Authors: Avcı Deniz Altay , Şahin Gürkan , Kan Murat
Published: January 2025

In the modern business world, detecting and predicting customer behavior is one of the key factors for any operation to achieve their goals. Customer churn is one of these behaviors of interest, which makes churn detection and prediction a hot topic in the Machine Learning domain. The customer data that was studied is obtained from a global food and beverage company’s operations in Turkey: Their gift-based mobile application rewards customers who buy their products, and the user data of many sorts is stored within its database. In this study, the unlabeled customer data of a large scale was analyzed and classified via the combination of various supervised and unsupervised ML methods such as K-Means Clustering, Random Forest, Support Vector Machines, Logistic Regression, XGBoost. Then, a score-based churn detection & prediction algorithm is developed after picking the best performing models based on their performance metrics.
Real-Time Torque Control and Industry 4.0 Integration of Industrial Hand Tools Using Artificial Intelligence
Authors: Nikbay Oylum Kader , Bilgin Turgay Tugay , Belkan Ahmet Emir
Published: January 2025

In this study, a novel system has been developed to adapt legacy equipment widely used in industrial production lines to Industry 4.0 standards. This research, which aims to digitalize electro-mechanical hand tools used in critical assembly operations and integrate them with higher-level system software, presents an innovative approach based on the hybrid use of artificial neural networks and embedded systems. The developed system can perform real-time torque level prediction by analyzing integrated data from multiple sensors, including voltage measurements, motor current readings, accelerometer data, and gyroscope measurements. The artificial intelligence component of the system consists of the integration of Long Short-Term Memory (LSTM) models running on the server side and optimized Multilayer Perceptron (MLP) models running on the embedded system. In tests conducted on a balanced dataset of 6000 samples, the LSTM model achieved an accuracy rate of 94.8%. Additionally, the embedded MLP model demonstrated a 92.3% binary classification success with a response time lower than 100ms. The system integration implemented using TCP/IP Open Protocol achieved network latency values below 50ms and successfully delivered 99.9% of data packets without loss or corruption. The system developed as a result of this study has demonstrated that legacy equipment can be made compatible with Industry 4.0 with minimal hardware modifications, while automating quality control processes and establishing data-driven decision-making mechanisms. This approach stands out as a cost-effective and scalable solution in industrial digital transformation projects.
Utilization of Industrial Waste Casting Sands as Sustainable Building Material in Autoclaved Aerated Concrete Products
Authors: Biçer Ezgi , Tekin İlker , Gül Ozan , Bakır Fatma , Doğru Alp
Published: January 2025

Autoclaved aerated concrete (AAC) is a building material with low density compared to traditional and structurally lightweight concrete. In addition to being very light, it is frequently preferred in many different areas, especially in external walls, floor slabs, lintels, roof slabs and panel elements of buildings, since it offers good heat and sound insulation. When the AAC production process is evaluated in terms of energy requirement, it has high environmental sensitivity compared to traditional concrete and brick processes. Since environmental sensitivity has become more important today, it was desired to evaluate the waste casting sands (WCS) generated in metal casting companies within the scope of the study. In this study, the usability of WCS as an alternative instead of silica sand used in AAC production was investigated. For this purpose, WCS was provided by 3 different casting companies. The usability potential of WCSs at 30% was examined and the quality of AAC was compared with reference castings. The fineness potentials of WCSs were compared by grinding in a disc mill. First of all, X-ray fluorescence spectrometry (XRF) and grain size analyses were performed on WCSs. 150x150x150 mm3 sized AAC laboratory samples were produced. The produced AAC samples were kept in the oven at 60°C until they set and then cured in an autoclave for approximately 10 hours. After the curing process in the autoclave, analyses such as compressive strength analyses and dry unit weight measurements were performed on the samples, and in addition to these analyses, they were subjected to visual examinations. Mechanical analyses were performed by replacing the WCS, from which positive results were obtained, at 5 different substitution ratios of 5, 10, 15, 20, and 30% by weight. From scanning electron microscope (SEM) and X-ray diffraction (XRD) analyses, it was determined that tobermorite structures were formed. From thermal analyses, it was observed that the thermal stability of the samples produced with WCS was better. When the results were evaluated in general, it was found that up to 30% WCS could be included in the AAC production system. In addition, an increase in compressive strength values occurred. The improvement in compressive strength also showed that WCS could be a good alternative source to silica sand.
IntelliOps: A Generic Multi-Source Monitoring Framework with Predictive Analytics for Enterprise Infrastructure
Authors: Ozpinar Alper , Alarçin Muhammet Mustafa , Halim Volkan , Yeker Hakkı Kıvanç
Published: January 2025

This paper presents IntelliOps, a novel monitoring framework that integrates multi-source system monitoring with predictive analytics capabilities for financial technology infrastructure. The proposed framework aggregates performance metrics from multiple monitoring platforms and consolidates them through a unified API, providing comprehensive visibility into both hardware and software performance metrics. IntelliOps introduces an innovative approach by synthesizing traditional monitoring methodologies with advanced machine learning techniques, incorporating time series predictive models (LSTM, GRU, RNN) and contemporary forecasting libraries for anomaly detection and predictive maintenance.
The framework's architecture consists of three primary components: (1) a centralized data collection system that integrates heterogeneous monitoring sources, (2) an analytical engine that processes infrastructure and application-level metrics, and (3) a machine learning pipeline that performs predictive analysis on the aggregated data. Our implementation analyzes a longitudinal dataset spanning over one year from a large-scale fintech platform, encompassing metrics such as multi-layer response times (caching, message queuing, runtime environment, databases), request volumes, error rates, and deployment events.
Experimental results demonstrate the framework's efficacy in anomaly detection and predictive maintenance, achieving high accuracy across diverse datasets. The evaluation reveals that our hybrid methodology, incorporating both supervised and unsupervised learning techniques, yields superior performance in risk segmentation and anomaly detection compared to conventional threshold-based monitoring systems. Additionally, the integration of modern time series analysis techniques with classical statistical models enables robust detection of seasonal patterns and trends, facilitating proactive infrastructure management.
This research advances the field of systems monitoring by providing a structured methodology for implementing deep learning models in targeted monitoring scenarios, thereby enhancing system performance and mitigating potential disruptions across diverse operational environments. The framework's adaptability and scalability make it particularly suitable for complex financial technology infrastructures where system reliability and performance are paramount.
AI-Based Call Center Management
Authors: Kazancı Nevra , Öztuncel Erçin Tevfik , Akuş Metin
Published: January 2025

Call centers today operate within complex ecosystems where surveillance technology, digitalization, and process automation are pivotal. These advancements enable multi-channel communication, personalized service, and proactive customer support. Unlike traditional models centered solely on phone interactions, modern call centers leverage digital tools to enhance operational efficiency. A significant innovation lies in the application of image processing techniques, including face recognition algorithms. These technologies automate tasks, minimizing human intervention and optimizing workflow. In this context, a proposed artificial intelligence-driven call center management system aims to replicate office environments remotely. It focuses on ensuring high service quality and security through real-time monitoring of representatives. Key features include facial recognition accuracy rates of 99% for detection and 96.88% for recognition. This system distinguishes live faces from photographs using cascade location detection, a novel approach that enhances fraud prevention compared to current methods. Integrating such advanced technologies into call centers marks a transformative step towards efficient, secure, and personalized customer service experiences in the digital age. Only the video call recordings are utilized for all analyses without additional equipment or data sources. Therefore, this easily implementable management system is introduced at a minimal cost.Top of Form
TERRITORIALIZAÇÃO EM FOCO: REFLEXÕES E PLANEJAMENTO DAS DEMANDAS DAS POLÍTICAS DE SAÚDE
Authors: Silva Tatiana Corrêa da , Martinez Maria Regina
Published: January 2025

A fim de promover reflexões sobre a territorialização e sua contribuição para o processo de organização do espaço, dinâmicas sociais, políticas e econômicas incentivamos a busca de conhecimento. Assim, objetivou-se promover reflexões para os enfermeiros frente às relevâncias e os desafios da implementação da territorializaçao em políticas públicas na área de saúde básica. Trata-se de um ensaio teórico, desenvolvido a partir de leituras de estudos encontrados nas seguintes fontes de informação: Scientific Electronic Library Online, National Library of Medicine National Institutes of Health e Google Scholar, no período de outubro a dezembro de 2024. Após o levantamento bibliográfico, dois eixos temáticos foram identificados para realização da reflexão, a saber: “A Territorialização e o Planejamento em Saúde” e “Desafios e Determinantes Sociais de Saúde”. Ao desenvolver esse ensaio teórico, foi possível identificar que é necessário compreender o cenário da comunidade, para realizar um planejamento em saúde que reconheça as particularidades de cada território seus desafios.
INFLUÊNCIA DE ACIDENTES E CATÁSTROFES NA EVOLUÇÃO DA NR-10
Authors: Barros Daniel Moraes , Nascimento Emerson Leão Brito do
Published: January 2025

A segurança no trabalho em instalações elétricas apresenta desafios significativos, impulsionados por altos índices de acidentes e fatalidades relacionadas a riscos elétricos. Diante disso, este estudo teve como objetivo analisar a influência de acidentes e catástrofes na evolução da NR-10, uma norma regulamentadora fundamental para a proteção dos trabalhadores do setor elétrico no Brasil. A pesquisa, de caráter exploratório e descritivo, baseou-se em revisão bibliográfica e análise de dados históricos e estatísticos. Os resultados destacaram que eventos traumáticos, como acidentes graves em instalações elétricas, foram cruciais para impulsionar revisões na NR-10, reduzindo significativamente as fatalidades ao longo das décadas. A integração de conceitos teóricos, como a gestão de riscos e a análise de causas de acidentes, e o fortalecimento da cultura de segurança foram identificados como pilares para essas melhorias. Além disso, verificou-se que a pressão de movimentos sociais, sindicatos e a repercussão na mídia desempenharam papel central na atualização de normas e na criação de regulamentações mais eficazes. Conclui-se que a NR-10 é um exemplo de como legislações podem evoluir em resposta a tragédias e mobilizações sociais, promovendo avanços contínuos na proteção dos trabalhadores e na mitigação de riscos elétricos no Brasil.
INFERÊNCIAS SOBRE O DIREITO À EDUCAÇÃO E ACESSO DE PESSOAS COM DEFICIÊNCIA NAS UNIVERSIDADES DE SANTARÉM/PA
Authors: Santos Évelin Staevie dos , Freitas Nildiran Araújo de , Souza Sarah Lima de , Sobral Alice Arlinda Santos , Sena Raylene Rodrigues de , Bu Ana Lilian Braga do
Published: January 2025

Este estudo se fundamenta na relevância dos debates recorrentes sobre a aplicação prática de normas voltadas à promoção da igualdade, destacando a importância do acesso de pessoas com deficiência ao ensino superior público. O objetivo da pesquisa foi analisar o acesso dessas pessoas às vagas de discentes em universidades públicas, considerando a legislação e os recursos materiais disponíveis. A metodologia adotada foi baseada no método dedutivo; em relação aos meios, a pesquisa teve caráter bibliográfico e documental, utilizando artigos científicos, legislações, editais e notas técnicas; quanto aos fins, a abordagem foi qualitativa. Os resultados evidenciaram que a ausência de cooperação efetiva entre os entes federativos e a sociedade civil gera um atendimento inadequado às necessidades de estudantes com deficiências físicas, sensoriais, intelectuais e mentais, comprometendo o exercício de seus direitos sociais. Também foram identificadas falhas estruturais na organização e na implementação das políticas públicas de inclusão para pessoas com deficiência no ensino superior. Concluiu-se que a falta de articulação entre os entes federativos na execução de estratégias para garantir o acesso e a permanência dessas pessoas nas universidades públicas perpetua práticas institucionais de segregação e preconceito social, dificultando, assim, a concretização de direitos fundamentais.
SENTIDOS CONSTRUÍDOS POR PROFESSORES DE ESCOLAS DO CAMPO ACERCA DA CONTEXTUALIZAÇÃO NO ENSINO DE MATEMÁTICA
Authors: Barreira Jonas Souza , Silva Mark Carvalho da , Barbosa Nazareno Araújo , Nunes Jaél Sanches , Morais Thiago Araújo , Silva Valdiney Conceição da , Gonçalves Mardony Barbosa de Paula , Gomes Francirlei Lima , Milesi Yeda Nayara Chaves do Nascimento , Nascimento Ueslei dos Santos
Published: January 2025

Este estudo tem como objetivo compreender os sentidos construídos por professores de escolas do campo acerca da contextualização no ensino de Matemática, explorando suas práticas pedagógicas e os desafios enfrentados nesse processo. Foram realizadas entrevistas com dois professores de Matemática que atuam em escolas do campo, identificados como Carlos e Roberto. Os resultados apontam que a formação docente é um elemento central para promover a contextualização, permitindo que os educadores alinhem teoria e prática e adaptem os conteúdos matemáticos às vivências cotidianas dos estudantes. Embora ambos os professores reconheçam a importância da contextualização, identificaram desafios como a dificuldade de integrar certos conteúdos, as limitações dos materiais didáticos e a necessidade de maior suporte pedagógico. Além disso, destacaram estratégias que tornam o aprendizado mais significativo, como o uso de referências locais e a interdisciplinaridade. Conclui-se que, apesar dos avanços na reorientação de práticas pedagógicas, ainda há lacunas a serem superadas para consolidar um ensino de Matemática contextualizado e relevante para as especificidades das comunidades do campo.
El impacto de la realidad virtual en el ciclo de desarrollo de emprendimientos: mejora de prototipos y aceleración de la innovación
Authors: Veloz Zambrano Jorge Luis , Navas Benavides Erika Gabriela , Palma Escobar Jean Carlos , Suárez Mera Ader Frederich
Published: January 2025

Esta investigación tuvo el objetivo de conocer cómo esta tecnología puede contribuir a optimizar la creación de prototipos reduciendo tiempos y costos de desarrollo, para poder facilitar la colaboración remota en entornos empresariales promoviendo así avances significativos en el proceso de innovación. A través de una revisión sistemática de la literatura, se obtuvieron resultados que muestran una aceleración significativa en los procesos de innovación de emprendimientos, mejorando su crecimiento. La metodología combinó datos cuantitativos y cualitativos para analizar el impacto de la realidad virtual, destacando su potencial transformador en el ámbito del emprendimiento. Las conclusiones subrayan la capacidad de la realidad virtual para revolucionar el desarrollo de productos en diversas industrias, promoviendo la eficiencia y la creatividad en los emprendimientos.
Laudatio en el acto de investidura del Prof. Dr. Dr. H. C. Mult. Manuel Cancio Meliá como Doctor Honoris Causa por la Universidad Nacional Mayor de San Marcos, a cargo del Prof. Dr. José Urquizo Olaechea
Authors: Urquizo Olaechea José
Published: January 2025

El autor pronunció esta Laudatio en el acto de investidura del Prof. Dr. Dr. H. C. Mult. Manuel Cancio Meliá como Doctor Honoris Causa por la Universidad Nacional Mayor de San Marcos y destaca las principales razones por las que se le otorgó este reconocimiento.
Discurso del Prof. Dr. Manuel Cancio Meliá en la ceremonia de investidura como Doctor Honoris Causa por la Universidad Nacional Mayor de San Marcos.
Authors: Cancio Meliá Manuel
Published: January 2025

El autor pronunció el presente discurso en respuesta a la Laudatio en el acto de investidura del Prof. Dr. Dr. H. C. Mult. Manuel Cancio Meliá como Doctor Honoris Causa por la Universidad Nacional Mayor de San Marcos.
EDUCAÇÃO PATRIMONIAL COMO TRANSFORMAÇÃO SOCIAL: MEMÓRIAS, PROTAGONISMO ESTUDANTIL E INCLUSÃO CURRICULAR NO CONTEXTO DA LAJE DO MURIAÉ
Authors: De Paiva Daniel Costa , Lacerda Fabiano Madeira
Published: January 2025

Este artigo explora a implementação de um projeto de Educação Patrimonial no ensino de Filosofia para estudantes de Formação de Professores, visando a valorização do patrimônio cultural e a formação de cidadãos críticos. A pesquisa, realizada no CIEP 343 de Laje do Muriaé, RJ, integra práticas pedagógicas com a memória histórica local, promovendo o protagonismo juvenil e a consciência sobre a identidade regional.
GAMIFICAÇÃO EM GESTÃO E NEGÓCIOS: INSIGHTS DE UMA REVISÃO SISTEMÁTICA DA LITERATURA
Authors: Lacerda Aline Cristiane Rocha , Fresta Alcina Maria Rodrigues , Da Silva Camila de Macedo , Cantaleano Karen Raphaele , Scherer Leandro , Cleophas Maria das Graças , Barboza Sinara Lúcia , Schmitt Tabata Becker
Published: January 2025

Objetivo: Este estudo buscou explorar os resultados provenientes de uma Revisão Sistemática da Literatura (RSL) sobre estudos relacionados ao uso da gamificação em contextos de gestão e negócios. Originalidade/valor: Entendida como a utilização de elementos de design de jogos em contextos que não são jogos, a gamificação se tornou reconhecida pela sua capacidade intrínseca, de incentivar a ação, solucionar problemas e promover aprendizagens nas mais diferentes áreas do conhecimento. Contudo, embora sua investigação tenha se mostrado promissora, é importante considerar que estes estudos ainda são recentes e as teorias formuladas estão em fase de desenvolvimento. Nesse sentido, a principal contribuição desta pesquisa é sistematizar a literatura sobre a aplicação da gamificação nos contextos de gestão e negócios, preenchendo uma lacuna ao resumir os principais conceitos da gamificação e demonstrando o que já tem sido pesquisado e implementado nesta área do conhecimento. Design/metodologia/abordagem: A metodologia eleita para essa pesquisa seguiu o enfoque qualitativo interpretativo hermenêutico, empregando como estratégia, a análise documental com foco em uma Revisão Sistemática da Literatura (RSL), elegendo-se os periódicos que possibilitassem o emprego do Modelo Sistemático para Pesquisas em Bancos de Dados Livre (MSPBAL) que contempla categorias de análise e organização sistêmica sobre as similaridades apresentadas no rol de dados obtidos. Resultados: Os resultados demonstraram que diante dos contextos de aplicação definidos: Marketing, Treinamento e Desenvolvimento e Colaboratividade. Prevaleceu um número maior de pesquisas em Treinamento e Desenvolvimento, seguidas de Colaboratividade e Marketing. As abordagens metodológicas buscavam, a partir da análise do estado da arte, avaliação ou ainda da experimentação, uma maneira de integrar ou avaliar a gamificação nos processos educacionais e organizacionais. Em termos de uso, a gamificação como ferramenta de gestão apresentou resultados positivos em todos os trabalhos analisados.
RANQUEAMENTO DE FERRAMENTAS DE INTELIGÊNCIA ARTIFICIAL PARA AUXILIAR NA ESCRITA DE ARTIGOS CIENTÍFICOS A PARTIR DO MÉTODO AHP GAUSSIANO
Authors: Machado Gilmara de Oliveira , Souza Herick Ferreira , Cabral Pedro Santana Bonotto , Limongi Ricardo , Dos Santos Marcos
Published: January 2025

Devido à complexidade na elaboração de artigos para publicação em periódicos científicos, observa-se o crescente uso de ferramentas de inteligência artificial (IA), para dar suporte ao pesquisador e aumentar sua produtividade e eficiência. Este artigo tem como objetivo ranquear modelos de IA programadas para auxiliar o pesquisador no processo de redação científica. Os critérios avaliados são relativos ao problema de pesquisa, o estado da arte, a lacuna e a referência bibliográfica. A metodologia consistiu em pontuar as ferramentas de IA em uma escala de 0 a 10, onde zero seria um indicativo de nenhum potencial e dez de alto potencial da ferramenta de IA. E ainda, ranquear as IA’s por meio do método multicritério de tomada de decisão AHP Gaussiano da Pesquisa Operacional, tendo como alternativas o ChatGPT3.5, Elicit, Dimensions IA, Paper Digest, Semantic Scholars, Connected Paper, Jenni.ai, SciSpace Copilot e Grok. Resultados mostraram que o Semantic Scholars foi identificado como a alternativa mais eficaz, evidenciando a importância do critério "Referência Bibliográfica". A menor influência do "Problema de Pesquisa" destaca a maior predominância de outros fatores na escolha dessas ferramentas, como o estado da arte e a lacuna. Estes resultados oferecem insights para pesquisadores, realçando a necessidade de considerações específicas ao contexto e aprimoramentos contínuos na integração de IA no ambiente acadêmico.
EFEITO DA SUPLEMENTAÇÃO DE ÁCIDOS GRAXOS ÔMEGA-3 NO MANEJO DA DERMATITE ATÓPICA CANINA
Authors: Costa Maytta de Oliveira , Aquere Nayana Lorene Ribeiro , Barbosa Jaqueline de Souza , Silva Lizane Paula de Farias , Leite Ana Gabriela Pereira Moura , Valente Kely Feitosa , Alves Erika Patrícia Costa Gonçalves , Mendes Andrea de Melo , De Loyola Nathálya Pereira , Cauás Danila Duca , De Souza Aline Bittencourt , De Brito Nathalia Geovana
Published: January 2025

Objetivo: Avaliar os efeitos da suplementação de ácidos graxos ômega-3 no manejo da dermatite atópica canina (DAC), destacando sua eficácia na modulação inflamatória, restauração da barreira cutânea e controle dos sintomas. A dermatite atópica em cães é uma condição inflamatória persistente marcada por coceira intensa e deficiências na barreira cutânea, impactando de maneira significativa a qualidade de vida dos animais. Os tratamentos convencionais frequentemente não conseguem controlar completamente a doença, particularmente em situações refratárias. Os ácidos graxos ômega-3, especialmente o ácido eicosapentaenoico (EPA) e o ácido docosahexaenoico (DHA), têm mostrado propriedades anti-inflamatórias e imunomoduladoras. Eles atuam na diminuição da produção de mediadores pró-inflamatórios derivados do ácido araquidônico, como as prostaglandinas da série 2 (PGE2) e leucotrienos da série 4 (LTB4). Ademais, esses ácidos graxos estimulam a produção de ceramidas, fundamentais para a manutenção da barreira cutânea, diminuindo a perda de água transepidérmica (TEWL) e melhorando a hidratação da pele. Estudos indicam que a suplementação de ômega-3 pode reduzir o prurido em até 65% após quatro semanas de uso, além de diminuir a incidência de complicações secundárias, como piodermites e escoriações. Esses efeitos são mais eficazes quando associados a terapias tópicas ou sistêmicas, como corticoides e ciclosporina. Apesar dos avanços, a dose ideal e a proporção entre EPA e DHA ainda não são consensuais, e estudos adicionais são necessários para padronizar protocolos. A suplementação com ômega-3 representa uma abordagem promissora no manejo da DAC, contribuindo para um controle mais eficaz da doença, maior qualidade de vida dos cães e redução da dependência de tratamentos farmacológicos convencionais.
TECNOLOGIA DIGITAL E EDUCAÇÃO DISRUPTIVA: UM CASO APLICADO PARA A ENGENHARIA DE FUNDAÇÕES
Authors: Guimarães Gustavo Vaz de Mello , Dos Santos Cibele Santana , Costa Necésio Gomes , Gomes Rodrigo Caride , Silva Luemy Avila Santos , Junior Roberto Mendonça de Lemos , Gonçalves Rafael de Luna , de Oliveira Carlos Vinicius de Souza
Published: January 2025

A quebra dos paradigmas da maneira de ensinar vem sendo cada vez mais necessária para formação de estudantes, pois a implementação de métodos de ensino mais interativos, práticos e colaborativos é fundamental para o desenvolvimento de habilidades críticas, criativas e adaptativas, essenciais para a plena formação acadêmica. Vale destacar que as novas diretrizes curriculares nacionais da engenharia (DCNs) recomendam que os cursos de graduação em engenharia devem proporcionar aos seus egressos técnicas adequadas de observação, compreensão, registro e análise das necessidades dos usuários e de seus contextos sociais, culturais, legais, ambientais e econômicos. Além disso, formular, de maneira ampla e sistêmica, questões de engenharia, considerando o usuário e seu contexto, concebendo soluções criativas, bem como o uso de técnicas adequadas. Neste ambiente, esta atividade busca apresentar os efeitos de uma experiência disruptiva em uma disciplina eletiva do Curso de Engenharia Civil. Utilizando a cultura Maker e manufaturas aditivas (impressão 3D) foram fabricados e testados diferentes espaçadores destinados a elementos de fundação. com o intuito de encontrar relações entre o percentual de preenchimento e carga de ruptura à compressão. Os resultados permitem observar o impacto de algumas variáveis de impressão na resistência à compressão dos espaçadores, além de fornecer informações quantitativas para a produção alternativa e autônoma de espaçadores com maiores exigências de cobrimento.
Social-emotional education: review of proposals on the role of emotions in guiding actions towards well-being
Authors: Vidal Vargas Solís Justino
Published: January 2025

Throughout the experience and professional in teaching to provide skills and abilities in the clinical and health area, cognitive models have opened a series of reference points on the scope of models related to emotions and their role in people's wellbeing. Based on Caro (1997), the points to be developed in the cognitive models have currently generated proposals oriented to the clinical area as well as to health promotion.In recent years, emotions have been incorporated as a fundamental axis for their teaching aimed at reorienting the quality of life in human development.The present proposal is based on a reflection on the fundamental notions about emotions and the way in which grounded approaches of actions are proposed for the valuation of cognitive and social factors that represent an axis on which the direction of change in their role in human development is oriented.Concurrently, I will describe the proposals to be considered in a broad construction framework in which the learning, transformation and adjustment of emotions to human development is expressed in a psychological-cultural-social continuum.
Integration of ICT in education in a post-pandemic context: a reflection
Authors: Lizardi Samuel , López Guadalupe
Published: January 2025

Throughout the years, technology has been one of the main aspects of humanity that has been studied and that has undergone the greatest evolution. In terms of education, it has been seen that there is a great window of opportunity, which after the Covid-19 pandemic has been explored with greater depth and speed. The results are extremely interesting in terms of how to look at this educational intervention in technology-mediated environments. This paper explores these opportunities and gives an overview of the use of technology in education in a post-pandemic context, particularly located in the Mexican educational system, an opportunity opened thanks to the current postgraduate program in teaching offered by the National Autonomous University of Mexico (UNAM). The results obtained from an educational intervention mediated by technology showed that the inclusion of technological means is beneficial to the face-to-face practice of the master's degree student, since it increases aspects such as motivation and communication.
Listen, learn, create! Cognitive development with rhythm and technology
Authors: Hernández Colunga Carlos
Published: January 2025

This paper presents the results of a disruptive educational experience, in which, from the approach of Developmental Didactics, an innovative project was implemented that integrated music as a trigger for learning in undergraduate students in education. Through the course entitled “Listen, Learn, Create! Cognitive Development with Rhythm and Technology”, students participated in collaborative activities where music and Information and Communication Technologies (ICT) were key elements to contribute to the development of cognitive and instrumental skills. This approach allowed the students to become the protagonists of their own learning, enhancing their creativity and imagination.The results highlight the positive impact on the development of digital and socioemotional competencies, as well as on the ability to apply ICTs in an innovative way in educational contexts. Likewise, the experience showed that the use of music as a pedagogical mediator facilitates the development of analysis, synthesis and critical thinking processes. Finally, we reflect on how this methodology fosters flexible learning environments, self-discovery, genuine experiences of dialogue and recognition of otherness and fun.