bluuebunny/crossref_metadata_2025 huggingface dataset:
Antibacterial Activity of the Leaves of Colocasia esculenta Linn
Authors: B. Shelke Mohini , N. Kanawade Shubham , B. Laware Ravindra
Published: May 2024

The purpose of the investigation was to see if the leaves of Colocasia esculenta Linn were antibacterial. Taro is a plant whose tubers are commonly consumed by Indonesians. Taro leaves, in addition to tubers, can be used as an alternate medication. As a result of their antibacterial qualities. The content Secondary metabolites found in taro leaves have the ability to stop dangerous microorganisms from growing, including Staphylococcus aureus and Pseudomonas Aeruginosa. The method used in this research is to use taro leaf extract, which is divided into various concentration variations. Taro leaf extract is made using hydroalcoholic solvents. The results showed that each concentration showed an antibacterial ability to inhibit the growth of pathogenic bacteria. The higher the concentration of taro leaf extract used, the greater its ability to inhibit the growth of bacteria. This study utilised taro leaf extract, which was separated into various concentrations. variants. Using an hydroalcoholic solvent to extract taro leaves at the time. The findings revealed that each concentration had a different effect and exhibited antibacterial properties by reducing the growth of harmful bacteria proliferation. The higher the content of taro leaf extract, the better. The more it's used, the more it'll be able to stop bacteria from growing. A hydroalcoholic extract of Colocasia esculenta was found to have antibacterial activity against S. Aureus, P. Aeruginosa, and others in our research.
Experimental Analysis of Mechanical Properties of Fiber Reinforced Cenosphere Lightweight Concrete with Higher Temperature Effect
Authors: Nilesh Zanjad
Published: May 2024

The aim of this research is to explore the impact of polypropylene fibers and glass fibers on the mechanical characteristics of lightweight concrete when subjected to elevated temperatures. Different fiber ratios ranging from 0.25% & 0.50% by volume of concrete were tested to evaluate their impact on various concrete mixtures. Cenosphere is lightweight material as used with cement as bonding material. Pumice aggregate, which is known for its lightweight properties, was utilized as the coarse aggregate. The study aimed to explore various characteristics of lightweight concrete such as slump value, unit weight, and compressive, tensile, and flexural strength. The concrete samples were subjected to different temperatures ranging from 200°C to 400°C for two hours. The findings revealed that the addition of glass fibers improved the tensile strength of the concrete and enhanced the compressive and flexural strength of the lightweight concrete. However, the incorporation of polypropylene fibers resulted in more cracks and pore formation in the concrete. Additionally, the compressive and flexural strength of the concrete decreased with an increase in temperature up to 400°C.
Exploring Nonlinear Behavior of Gasket Joints in DEF Dosing Units through Finite Element Analysis
Authors: B. D. Patil
Published: May 2024

Gaskets serve the crucial function of maintaining a durable seal within 2fixed components within a mechanical structure, even when subjected to varying pressures and temperatures during operation. Gasket joint is necessary in many mechanical systems to form a leak free joint. DEF dosing system is one of the examples where gasket joints are used to prevent exhaust gases leaking before going through SCR. Gasket joint requires certain minimum pressure to make leak free joints. If the gasket pressure goes below the pressure of the internal fluid in the assembly, then there are chances of leaking the fluid out. If the gasket pressure is increased by applying high bolt preload, then there may be chances of yielding of the flanges or this may cause damage to bolt/nut threads. So, there must be optimum gasket pressure in the assembly. The gasket pressure gets affected by many parameters. The present paper aims to avoid leak in case of gasket joints.   There are number of parameters which affects the performance of the gaskets e.g. bolt preload, bolt tightening sequence, internal pressure, temperature of internal fluid, creep of gasket etc. Different analysis has been carried out to check effect of allthese parameter on the contact pressure at the gaskets joint. Initial gasket pressure was mainly controlled by bolt preload/torque. The effect of bolt torque on the performance of the gasket joint assembly was studied. A dimensional nonlinear finite element analysis was carried out on the gasket joint and sealing performance was correlated with experimental study. Different geometric configurations are studied at different bolt pre-load levels. Effect of bolt torque on gasket pressure as well as other components of the assembly was studied. The best configuration which gives gasket pressure above minimum required to maintain leak proof joint and with no yielding in the assembly has been recommended.
Nonlinear Analysis of Steel Fiber Reinforced Recycled Aggregate Concrete under Compression, Tension, and Elevated Temperatures
Authors: Uday Shankar Patil
Published: May 2024

In this study, we report on experiments conducted to determine the compressive behaviour of steel fibre reinforced-recycled coarse aggregate concrete (SFRCAC). Many researchers are interested in exploring the utilize of recycled aggregate in concrete for its potential to reduce environmental impact. By using recycled materials in place of natural ones, Recycled Aggregate Concrete (RAC) represents a novel environmentally friendly construction material. Processing waste concrete with a high proportion of building waste yields recycled aggregates. Natural sand & gravel reserves have been drastically depleted, and natural resources used, as a result of the expansion of the construction sector. Fire damage caused by spalling is a major issue when considering the use of such concrete in construction. SFRAC could help with this. In this research, we provide the outcomes of an investigational study into the compressive properties, particularly the compressive strength, of SFRAC cylinders subjected to extreme temperatures. Compressive mechanical characteristics of concrete were studied as a function of temperature (room temperature, 200 ℃, 400 ℃, & 600 ℃) & steel fibre volume percentage (0%, 0.5%, 1%, 1.5%). Adding steel fibres to RAC that has been heated at high temperatures greatly improves its ductility & cracking behaviour, making it more appropriate for usage in building construction since it lessens the likelihood of spalling.
A Machine-based Robotic System for Precision Grinding Wheel Saw Replacement: Mathematical and Non-linear Analysis Perspective
Authors: Amit S. Chaudhary
Published: May 2024

Steel is general material which is used in many applications and the demand of steel is huge in the world market. As the demand is huge then the industry need to produce the steel component in mass quantity. The cutting operation is done with the grinding wheel saw known as saving operation which need to be replaced frequently as it warn out quickly. The replacement need time which creates impacts on the productivity of needle, to avoid such delay in replacement an automatic system will be needed. This paper presents grinding wheel saw replacement through an intelligent robotic system, powered by machine technology, designed to swiftly replace grinding wheel saws. This system consists of mechanical arm with 6 axis and DOF manipulator.  For the analysis purpose of newly system design FEA is applied. For the detection purpose a digital cam is placed for the positioning of machine vision. To test the system thousands of actual results are measured and collected for the reliable working of newly proposed system.
An Analysis of Laser Welding Technology used for Joining Dissimilar Metals, Computational Parameters and Challenges
Authors: Jeevan S. Patil
Published: May 2024

Welding particularly joining dissimilar metals is new technology. Laser welding is a challenging task and most essential and reliable method of joining dissimilar metal used in various industrial area. Out of the modern welding laser welding is gaining its popularity due to its various unique features. Laser welding, is modern method of joining similar or dissimilar parts metal/non-metal by laser beam of very high power, high temperature source. Very good control on input factors, very small heat affected zone, precise accurate welding joint and high speed are some attractive features of this technique. This technology gives more flexibility to design engineer. Various kind of lasers such as Nd:YAG, Co2 laser, Diode laser, disk laser m/c are used in welding of automobile, aerospace and ships. All concept of laser welding depends on the key-hole phenomena. It is a cavity formed by recoil pressure and energy absorption is due to high temperature multi reflection of laser rays. So this gives deep Penetration of weld joint. This paper shows various Challanges of dissimilar metal welding and technique to over come this. In our use study We are going to use dissimilar metal plates of 3.5 mm thick of 16MnCr5 and 316 SS. This metal jonts are used in production of automotive cylindrical part in large quantity.
Preparation and Analysis of New Hybrid PAEK Nano-Composites Containing MWCNT, Inorganic and Organic Nano-Particles
Authors: Shripad Nirantar
Published: May 2024

In modern era light weight material with complex shape and high material properties is required for advanced applications at room temperature. In this concern, the experimental study analysis to observe the effect of different nanofiller material like GO, MWCNT, NH2 and COOH modified MWCNT as organic nanofiller and WS2 and MoS2 as inorganic nanofiller reinforced in pure PAEK. This experimental study focuses on incorporation of organic and inorganic nanofillers separately and combine as hybrid nanofiller nanocomposite. On preparation of PAEK nano-composite and hybrid nanocomposite the comparative study of mechanical properties like tensile, flexural and impact is carried out. The nano-composites were prepared by melt compounding method. Scanning Electron Microscopy confirm the homogenous dispersion and alignment of nanofilers. The hybrid nano-composites show highest tensile strength as compared to the organic and in-organic nanofiller nanocomposite. As the percentage of MWCNT increases from 0.2  to 1 wt% , the properties of nano-composites decreases due agglomeration tendency of MWCNT that results in low load transfer capacity of nanocomposite, therefore agglomeration tendency of MWCNT required to be controlled for preparation of nano-composite and this is achieved by reinforcing Hybrid nanofillers to pure PAEK matrix. However, organic filler shows 75 MPa to 83 MPa tensile properties and which is lower compared to in-organic and hybrid filler due agglomeration tendency of organic nanofiller confirmed by SEM analysis.
Experimental Analysis of Mechanical Tests on a Plate Composed of Banana Fibre
Authors: Rohit Jadhao
Published: May 2024

Due to their attractive characteristics, natural and synthetic fibre - reinforced hybrid composite materials are playing a prominent role in science. Innovators are now being drawn to the poor world to create new sustainable and environment products and materials focused on environmental objectives. Natural fibre has a number of advantageous qualities, including low density, non-toxicity, and minimal comparability in strengths, minimal waste disposal issues, and inexpensive cost. This study presents the experimental analysis of mechanical tests performed on a plate composed of banana fiber. The mechanical properties, including tensile strength, flexural strength, and compression strength, were evaluated to assess the performance and potential applications of the banana fibre plate. The experimental tests were conducted following standard testing procedures specified by ASTM. The results obtained provide valuable insights into the mechanical behavior of the banana fibre plate and contribute to the understanding of its suitability for various engineering applications.
ED-SS based Cognitive Radio (CR) over Various Fading Channels for Modern Wireless Communications
Authors: V. Soni
Published: May 2024

Cognitive Radio (CR) has already been proved to provide the better solution for the problem of spectrum insufficiency in which every wireless system occupies the limited bandwidth spectrum (LBS) allotting to the licensed users. Sometimes, this LBS is empty in a certain place at a certain time that is called as spectrum holes estimated by spectrum sensing (SS). The spectrum sensing is the main technique used in cognitive radio and various spectrum sensing techniques are available in the literature such as: energy detection (ED), matched filter detection (MFD) and cyclo-stationary feature detection (CFD). In the present work, energy detection-spectrum sensing (ED-SS) based cognitive radio system has been implemented which can analyze the energy of the spectrum. The various fading channels such as additive white gaussian noise (AWGN), Rayleigh, and Nakagami have been incorporated in the present work over which the performance of cognitive radio has been analyzed and compared using the ED-SS technique. The experimental results show thatt the detection of the presence of primary user signal using proposed ED-SS technique is easier with low computational complexities in Cognitive Radio (CR) networks. The present work also demonstrates when the performance of proposed ED-SS technique over aforesaid three fading channels are compared, Nakagami-m fading channels exhibits superior improvement in Pd compared to Rayleigh and AWGN fading channels
Cloud Enabled e-Banking Payment Security Implementation using Blockchain Technology
Authors: Shalu J. Rajawat
Published: May 2024

Cloud computing has revolutionized the banking industry by offering flexible and flexible products for the delivery of electronic banking services. However, due to the sensitivity of the central authority, ensuring the security of online transaction is still a critical issue. In this context, blockchain technology is promising by offering decentralization, transferability and cryptographic security. This article presents a new way to increase the security of electronic banking payments by combining blockchain technology with cloud computing. The system plans to use the cloud to host business applications and services, and use blockchain to securely record and verify transactions. Smart contracts are used to streamline the payment process and manage transactions, providing transparency and trust. Additionally, encryption technology is used to encrypt sensitive information and protect the user's identity. Using this solution provides many benefits, including improving the security, transparency and efficiency of electronic banking. Research articles and experimental results demonstrate the effectiveness and applicability of the proposed process in real life. Overall, the integration of blockchain technology with cloud banking provides a solution to solve security issues and increase the reliability of online payments.
IoT based Efficient and Secure Building Architecture with Constrained Application Protocol (CoAP)
Authors: Ritu Dewan
Published: May 2024

The Internet of Things (IoT), one of the newest technologies, has great potential for many industry businesses. Smart building technology is one of the biggest IoT industries. IoT is used on a regular basis in many different industries. It is used in a variety of contexts, including physical defense, e-health, smart buildings, grids, cities, homes, asset management, and transportation management. IoT-level, networked smart buildings offer affordable assistance. Comfort, accessibility, security, and energy management are necessary for commercial space.
Naturally, IoT-based solutions can satisfy these requirements. With the depletion of the energy supply and the increase in demand for energy, there has been a growing focus on energy usage and building maintenance. This paper uses emerging IoT technology to demonstrate a smart building design that is both safe and energy-efficient. Constrained Application Protocol (CoAP) is a crucial internet transmission protocol that assigns a unique address to every device. Data is transferred using this application layer protocol outside of secure channels. While there are several recommended techniques to protect sensitive data transfer, one likely way to improve the security aspect of CoAP for authentication and end-to-end security is through the use of Datagram Transport Layer Protection (DTLS).This paper propose a smart building design in which the Internet of Things is used to control the operation of all technological components. The simulation results show that compared to the situation of employing Message Queuing Telemetry Transport (MQTT), adopting CoAP in a smart building saves energy use by around 34.86%. In order to increase security in a smart building, this article also explains how to include the DTLS protocol inside of CoAPutilising enhancements from the Certificate Authority (CA).Finally, using the ContikiCooja (CC) simulator to simulate system performance and data collecting in terms of latency, throughput, and resource consumption, CoAP is utilized to modify orderer and peer nodes for performance research in smart building.
Exploration of Natural Element Form Optimization Algorithm using Spatial-Temporal Multi-Scale Alignment Graph Neural Network in Architectural Design Based on Morphological Theory
Authors: Chen Liu
Published: May 2024

The construction industry has experienced important changes in recent years due to advancements in digital, artificial intelligence, and construction technologies, as well as the sector's on-going development and the advancement of science and technology. The creative growth of building industry, creative creation of architectural forms are partially supported technically by sophisticated parametric design apparatuses, the potent computing benefits of computer technology. In this manuscript, Exploration of Natural Element Form Optimization Algorithm using Spatial-Temporal Multi-Scale Alignment Graph Neural Network in Architectural Design Based on Morphological Theory (ENEF-OA-ADMT) is proposed. The STMSA-GNN and the Chaotic Coyote Algorithm (CCA) are two tools used by the proposed ENEF-OA-ADMT approach to improve architectural design based on morphological theory. The ST-MSA GNN's ability to capture intricate interactions and dependencies between several components in both space and time allows it to perform a comprehensive study of the morphological aspects of architectural designs. This graph neural network's integration of spatial and temporal dimensions enables a deeper understanding of how the architectural structural form design changes over time. The CCA optimized the ST-MSA-GNN to enhance the architectural structural form design. The proposed ENEF-OA-ADMT methodology skill fully combines these methodologies, creating a strong framework that allows architects and designers to work together to explore, refine, and create architectural structural design forms. The framework provided serves as a spur for further research, encouraging a more complete integration of technology and environment in the architectural domain. The effectiveness of proposed method is executed in python, evaluated through performance metrics encompassing accuracy, precision, specificity, Recall, computational time, F1 score, population diversification, randomness. Proposed ENEF-OA-ADMT method 34.56%, 28.63% and 21.89% higher accuracy, 34.97%, 32.13% and 21.89% higher precision and 34.68%, 20.84% and 29.76% higher randomness when compared with the existing methods such as Study of Morphological Design of Architecture from Geometric Logic Perspective (SOT-MDA-GLP), learning deep morphological networks by neural architecture search (LD-MN-NAS) and identifying degrees of deprivation from space utilizing deep learning with morphological spatial analysis of deprived urban areas (IDDS-DLMSA-DUA) respectively.
Language Dissemination Paths and Modes Aided by Computer Technology
Authors: Yanghong Wu
Published: May 2024

The expansion of technology and computer science, as well as advancements in language instruction and learning methodologies, has enabled computer-assisted language learning technologies to tackle this challenge. In the field of Chinese learning, a few language learning computerized systems in the country and abroad concentrate mainly on language, grammar acquisition only have one or two assessment indicators as basis of evaluation, that definite functional flaws provide a general assessment to learners' pronunciation. In this manuscript, Language Dissemination Paths and Modes Aided by Computer Technology (LDPM-QICCNN-KOA) are proposed. The input data are collected from Chinese Corpus dataset. Then the data is given into unscented trainable kalman filter for preprocessing the input data. Then the preprocessed data are provided to QICCNN for Language Dissemination. In general, the based Quantum-inspired Complex Convolutional Neural Network doesn’t express adapting optimization approaches to determine optimal parameters to ensure exact identification. Hence, KOA utilized to enhance Quantum-inspired Complex Convolutional Neural Network, which accurately done the Language Dissemination Paths and Modes. The proposed LDPM-QICCNN-KOA method is executed on python. Then performance of proposed technique is analyzed with other existing methods. The proposed technique attains 26.36%, 20.69% and 35.29% higher accuracy; 19.23%, 23.56%, and 33.96% higher F1-Score; 26.28%, 31.26%, and 19.66% higher precision when comparing with the existing methods such as research on network oral English teaching system depend on machine learning (LDPM-DBN), nonlinear network speech recognition structure in deep learning algorithm (LDPM-DNN), research on open oral English scoring system depend on neural network (LDPM-BPNN).
Electrical Properties of Porous Nano Modified Lithium-ion Battery Negative Electrode Materials
Authors: Guigang Cheng
Published: May 2024

The negative electrode material of lithium-ion batteries is one of the key factors affecting the overall performance of the battery. Traditional carbon/graphite materials are prone to safety issues such as capacity loss and metal precipitation during application. Due to its high conductivity and flexibility, as well as its excellent properties in battery energy density, cycle life, and other aspects, Ti3C2 nanomaterials have brought new opportunities for the lithium-ion batteries development. The development of convenient electronic products and power equipment has put forward higher requirements for the performance of lithium-ion batteries. On the basis of introducing modification technologies for lithium-ion battery electrode materials (such as carbon coating, nanocomposition, etc.), this study further reviews and analyzes the electrochemical performance characteristics of batteries under porous nanomaterials. The purpose is to provide reference value for the selection and design synthesis of battery negative electrode materials.
Exploring Fault Tolerance Consensus for Wireless Sensor Networks: A Comprehensive Detailed Study
Authors: Mohammad Ubaidullah Bokhari
Published: May 2024

The integration of wireless networks into modern communication systems has revolutionized information exchange across various applications. However, achieving reliable agreement in these networks is significantly impeded by their unique properties, such as blurring, interruption, and transparency. A fundamental component of distributed systems, fault-tolerant consensus ensures that nodes in the network can agree on a consistent value even in the presence of malfunctioning or corrupted elements. This study explores both non-Byzantine and Byzantine fault-tolerant consensus approaches, with a focus on achieving agreement in the presence of benign faults. The importance of fault-tolerant consensus in wireless connections is underscored, particularly in applications like wireless blockchain, IoT, and vehicular networks. The research delves into wireless network-specific fault-tolerant consensus algorithms to address the specific challenges posed by networking environments. Furthermore, a comparative analysis of Byzantine Fault Tolerance mechanisms in distributed systems is provided to shed light on their features and benefits. It highlights the importance of ensuring system reliability and consistency in wireless networks to maintain seamless communication and data integrity. Moreover, the paper emphasizes the critical role of fault-tolerant consensus in enhancing system resilience and performance. It underscores the need for robust algorithms and protocols to detect and mitigate errors, ensuring reliable communication and coordination despite potential node failures. By providing insights into fault-tolerant consensus mechanisms tailored to dynamic conditions, the study aims to optimize system adaptation and effectively mitigate both Byzantine and non-Byzantine failures in wireless network environments.
Adaptive Random Mac Strategy for IoT Security Through Network Forensics Investigation
Authors: Konika Abid
Published: May 2024

In the rapidly evolving landscape of digital systems and networks, ensuring robust cyber security measures is of paramount importance. This study delves into the evaluation of a proposed security method's efficiency through a comprehensive comparative analysis conducted under diverse security breach simulations. The objective is to discern the method's effectiveness in safeguarding sensitive information and maintaining system integrity.The research methodology involves the selection of representative security breach scenarios, each emulating distinct attack vectors and potential vulnerabilities. A benchmark security protocol, widely acknowledged for its reliability, serves as a reference for the proposed method's assessment. A series of controlled breach simulations are executed, simulating real-world cyber threats, ranging from sophisticated malware intrusions to social engineering attacks. Key performance metrics, such as response time, resource utilization, and data recovery rates, are meticulously recorded and analyzed for both the benchmark and proposed methods. Furthermore, the impact on system functionality and user experience is evaluated to comprehend the trade-off between heightened security and seamless user interaction. The experiments are conducted across multiple system architectures to account for variations in hardware and software configurations. The findings reveal nuanced insights into the proposed method's efficiency under distinct breach scenarios. It showcases commendable resilience against certain attack vectors while potentially exposing limitations in others. The comparative analysis provides a comprehensive overview of the method's overall efficacy and enables the identification of scenarios where enhancements might be necessary. The performance of the suggested approach under various security breach simulations is empirically demonstrated in this paper, adding to the body of current knowledge. The insights gained from this research aid in refining the method's design and implementation, bolstering its potential to address the dynamic and evolving landscape of cyber security threats. As digital systems continue to play an increasingly integral role in our lives, the significance of such evaluations cannot be overstated, ensuring that our vital digital infrastructure remains secure and resilient.
Design and Development of a Hybrid Cooperative- Based Routing Protocol avoiding the void nodes in WSNs using the Concepts of Minimum Energy Consumption with good Data Security features
Authors: Manjula G. Hegde
Published: May 2024

This paper presents a novel cooperative-based routing protocol designed for underwater Wireless Sensor Network Cloud Applications (uWSNCA). The protocol aims to minimize energy consumption by avoiding void nodes, which are areas without sensor coverage. The proposed approach consists of two main steps: first, avoiding void nodes using an adaptive hop-by-hop vector method, and second, applying a cooperative rule-based adaptive hop-by-hop vector method to create a hybrid algorithm that is more efficient than existing approaches, such as the watch-dog protocol. The research focuses on developing an energy-efficient distributed cooperative routing protocol for wireless sensor networks, specifically tailored for cooperation-based uWSNCA. This is achieved by preventing data packets from being forwarded through void nodes.  The proposed routing protocol utilizes cooperation-based adaptive hop-by-hop vector-based forwarding concepts, where sensor nodes forward data packets in a multi-hop fashion within a virtual pipeline. In the developed algorithm for the underwater WSN cloud application, data packets are forwarded in a multi-hop manner using a virtual pipelining mechanism.Nodes outside the virtual pipeline do not forward data packets, thereby reducing flooding in the cooperative WSN. To prevent data packets from being forwarded towards void areas in the WSN, 2-hop information is used at each hop. This approach improves the performance of the wireless sensor network in terms of various performance criteria compared to existing routing protocols.  The simulation tool NS2 is used to observe the simulation results of the energy packets being transferred from the source to the sink. The simulation results demonstrate the effectiveness of the proposed methodology. Overall, this paper contributes to the field of underwater WSNs by introducing a novel routing protocol that improves energy efficiency and performance for cloud applications.
Dessensibilização à penicilina para o tratamento da sífilis em gestantes: um relato de experiência exitosa
Authors: Kierski Juliana da Costa Duarte , Andrade Claudia Alexandra de , Aragão Karolyne Gaio Ribeiro de
Published: May 2024

Introdução: A sífilis é uma infecção bacteriana causada pelo Treponema pallidum. A transmissão ocorre principalmente por contato sexual, mas também pode acontecer por transmissão vertical de uma mãe infectada para o filho durante a gestação ou parto. A dessensibilização à penicilina é recomendada para mulheres grávidas com sífilis que são alérgicas a betalactâmicos. Objetivo: Relatar o procedimento exitoso de dessensibilização à penicilina realizado em uma gestante com sífilis do município de Pinhais, Paraná, com o intuito de estimular a realização dessa prática em outros municípios, contribuindo para reduzir os casos de sífilis congênita. Métodos: Trata-se de um relato de estudo de caso que foi vivenciado em fevereiro de 2023 e registrado pela equipe multiprofissional de saúde mobilizada, que envolveu profissionais do município de Pinhais e da Secretaria Estadual de Saúde para viabilizar a disponibilização de um hospital com leito de UTI, necessário para a realização do procedimento. Resultados: Não houve nenhuma intercorrência durante o procedimento de dessensibilização à penicilina efetuado na gestante. A primeira aplicação da penicilina G benzatina 2.400.000 UI foi realizada com a paciente internada no hospital e as demais aplicações foram realizadas sem a necessidade de internamento. Os exames de acompanhamento da gestante já demonstraram queda na titulação do Venereal Disease Research Laboratory (VDRL), de 1:16 para 1:8. Conclusão: Considerando os aumentos crescentes de casos de sífilis em gestantes e a importância do tratamento adequado, o processo de dessensibilização realizado permitiu a execução do seu tratamento de forma segura e efetiva, envolvendo procedimentos que não exigem grande complexidade e que podem ser utilizados como mais uma importante forma de prevenção da sífilis congênita.
HIV/AIDS e o envelhecimento: percepção da Atenção Primária à Saúde
Authors: Borges Patrícia Aparecida , Borges Larissa , Hattori Wallisen
Published: May 2024

No Brasil, a incidência de HIV/AIDS em idosos também é ascendente. Nesse sentido, é importante analisar as perspectivas de profissionais que atendem idosos vivendo com HIV, pois essa realidade desafia o profissional cotidianamente a empreender críticas e reflexões acerca de suas práticas. Este estudo teve como objetivo identificar se fatores sociodemográficos e da formação de profissionais de saúde influenciam na percepção em relação ao idoso vivendo com HIV, além de avaliar as diferentes visões de profissionais de saúde envolvidos no processo saúde-doença-cuidado em relação aos idosos vivendo com HIV. Como objetivos específicos, focou-se em revisar os estudos da saúde do idoso vivendo com HIV, avaliar a visão dos profissionais de saúde lotados em serviço de atendimento especializado em relação aos idosos vivendo com HIV e avaliar a visão dos profissionais de saúde lotados na atenção primaria à saúde em relação aos idosos vivendo com HIV. Trata-se de um estudo observacional transversal realizado no município de Uberlândia, Minas Gerais, que ocorreu entre outubro de 2019 e outubro de 2021, no qual foram coletados dados de 115 profissionais que trabalhavam na Atenção Primária à Saúde (APS) da referida cidade. Para coleta de dados foi utilizado um questionário sociodemográfico, com questões sobre a idade, cor, estado civil, status de relacionamento, sexo, gênero, orientação sexual, religião e tempo de formação. Para avaliar a percepção dos profissionais foi aplicado um questionário composto de cinco categorias temáticas que envolvem os pacientes idosos vivendo com HIV que fazem tratamento na APS da cidade de Uberlândia: concepção da AIDS, vulnerabilidade do idoso, solicitação do teste de HIV, comunicação do diagnóstico e dificuldade no atendimento. Informações detalhadas sobre o questionário são fornecidas em outro estudo. As análises estatísticas foram realizadas utilizando o software IBM SPSS Statistics 20. Os resultados sugerem que fatores sociodemográficos e características de profissionais que trabalham na APS estão relacionados com a percepção em relação ao idoso vivendo com HIV. Cenários como a faixa etária, o estado civil, o status de relacionamento, o sexo, o gênero, a orientação sexual, o nível de formação, a cor, a religião e as categorias de profissão foram relacionados com a percepção em relação ao idoso.
Relato exitoso de um pré-natal em pessoa em situação de extrema vulnerabilidade
Authors: Manhães Ana Cláudia , Faria Carmen Aparecida , Schuenck Rayssa Tavares
Published: May 2024

R.D.O. mulher negra, 34 anos, G8P5A3 (uma filha aos cuidados da avó materna, uma filha com o ex-parceiro e três filhos abandonados ao nascer), usuária de crack e outras drogas lícitas e ilícitas, múltiplos parceiros, sem renda, com diagnóstico recente de tuberculose com baixa adesão ao tratamento. Natural de um município na Baixada Fluminense do Rio de Janeiro, afastou-se da família, indo residir no município de Niterói para ter mais liberdade e acesso ao uso de drogas. Ao se descobrir grávida novamente e diagnosticada com sífilis, entrou em processo de negação e rejeição da gravidez. Recusou iniciar o pré-natal e o tratamento profilático. Afirmava estar em depressão e não desejava aquela gestação. Por várias vezes abandonava o tratamento e sumia do território. R.D.O não aceitava o acompanhamento do pré-natal. Não se sentia à vontade. Isso levou a vigilância epidemiológica a intensificar o processo de busca ativa, em que a sensibilização e o acolhimento foram essenciais para a realização do pré-natal com três consultas e dos exames complementares da rotina do acompanhamento da gestante e do tratamento adequado para tuberculose e sífilis (protocolo de pré-natal de alto risco). Com desfecho para a cura de ambos e, principalmente, a promoção dos laços afetivos da mãe pelo bebê, culminou também com o regresso da mulher para o seio familiar, saindo da situação de rua e acolhendo os seus filhos.
Fatores associados ao uso de aplicativos de encontros sexuais em pessoas com sífilis adquirida: um estudo transversal
Authors: Pedrosa Nathalia Lima , Pinheiro Patrícia Matias , Araújo Wildo Navegantes de
Published: May 2024

Introdução: A sífilis adquirida é uma infecção sexualmente transmissível (IST) que tem taxas de incidência crescentes, e o uso de aplicativos para encontros sexuais pode influenciar o seu contexto. Objetivo: Conhecer a prevalência do uso de aplicativos de redes sociais para encontros sexuais em pessoas com sífilis adquirida, além de analisar fatores associados. Métodos: Foi realizado um estudo transversal analítico em um serviço público de testagem rápida e aconselhamento para IST localizado em Brasília, Distrito Federal. Entrevistaram-se pacientes com idade maior ou igual a 18 anos, diagnóstico recente de sífilis adquirida, que aceitassem participar do estudo, no período de novembro de 2019 a janeiro de 2022 (interrompido durante dois lockdown, na pandemia da COVID-19). Coletaram-se dados socioeconômicos, sobre uso de aplicativos e sobre comportamentos de risco para IST. Este estudo foi aprovado por Comitê de Ética. Resultados: Participaram do estudo 138 pacientes, a maioria do sexo masculino (86,2%), com mediana de 29 anos (IQR 24-3 anos), preta e/ou parda (70,6%), com ensino médio completo (52,2%) e renda familiar per capita mediana de R$ 1.600,00. Cerca de 51% dos entrevistados relataram ser homossexuais, seguido de heterossexuais (25%). A prevalência de uso de aplicativos de redes sociais para fins sexuais foi de 58,7%, e o mais citado foi o Grindr (38,4%). Pessoas que adquiriram sífilis e que usam redes sociais para encontros sexuais têm prevalência 5,17 vezes maior de terem menos de 30 anos, 4,68 vezes maior de serem homossexuais ou 5,17 vezes maior de serem bissexuais. Ainda, há prevalência 11,13 vezes maior de terem tido parcerias sexuais anônimas nos últimos 12 meses. Conclusão: Há proporção importante de pessoas com sífilis adquirida que fazem uso de aplicativos para encontros sexuais, com associação a comportamentos de risco. Sugere-se, assim, inserção da abordagem sobre o uso de aplicativos durante os aconselhamentos pré e pós-teste.
Renklerin Yemek Tercihleri ve Algıları Üzerindeki Etkisi: Türk ve Alman Kültürleri Karşılaştırması
Authors: Çelik Esra , Evren Savaş
Published: May 2024

Yemekler sahip olduğu lezzet, koku, ısı, görüntü gibi nitelikleriyle insanları etkilemektedir. İnsanların yemek tercihlerini etkileyen önemli unsurlardan biri olan renkler, bir yemeğin iştah açıcılığını ve çekiciliğini de büyük ölçüde belirlemektedir. Yemek renklerinin etkileri farklı kültürlerde farklı düzeylerde gerçekleşebilmektedir. Bu çalışma, farklı kültürel altyapıya sahip bireylerin yemek renklerine yönelik algıları ve tercihlerinin belirlenmesi amacıyla yürütülmüştür. Çalışmada Alman (n=10) ve Türk (n=14) katılımcılarla yarı yapılandırılmış görüşmeler yapılmıştır. Görüşme formunda yer alan sorular genel olarak üç yemeğin (çorba, makarna, hamburger) altı farklı renkli (kırmızı, yeşil, sarı, mor, siyah, beyaz) görselleri üzerine kurgulanmıştır. Görüşmelerin tümü 20 Ekim-30 Kasım 2020 tarihleri arasında gerçekleştirilmiştir. Bulgular Almanların renkli yemekleri deneyimlemeye daha açık olduğunu göstermektedir. Algılar yemeğe göre farklılaşmakla beraber her iki kültürde de mor ve siyahın katkı madde algısı oluşturduğu tespit edilmiştir. Renkli yemekler bireyleri katkı maddesi içerdiği kanısına itebileceğinden, rengin nasıl elde edildiği ile ilgili açıklamaların menülere eklenmesi önerilmektedir.
Müzik Festivallerinde Program İçeriğinin ve Sosyalleşmenin Davranışsal Niyetler Üzerindeki Etkisinde Hedonizmin Aracılık Rolü
Authors: Seçilmiş Cihan , Düşmezkalender Ebru , Özdemir Cansev
Published: May 2024

Müzik festivallerinin dünya genelinde giderek artan sıklıkta düzenlenmesi akademik bir ilgiyi hak etmektedir. Buradan hareketle bu çalışma, müzik festivali katılımcılarının katıldıkları festivalin program içeriğine ilişkin görüşlerini, festivaldeki sosyalleşmelerini, festivale ilişkin hedonik değerlendirmelerini ve tüm bu unsurların davranışsal niyetler üzerindeki etkilerini incelemeyi amaçlamaktadır. Araştırma, Eskişehir’deki yerel bir müzik festivalinde gerçekleştirilmiştir. Araştırmanın örneklemini EskiFest’e katılan bireyler oluşturmaktadır. Anket formları festival alanı çıkışında katılımcılara dağıtılmıştır. Toplam 278 kullanılabilir anket analize dâhil edilmiştir. Araştırmanın sonuçları, festival program içeriği ve sosyalleşmenin hedonizm üzerindeki, program içeriği, sosyalleşme ve hedonizmin ise davranışsal niyetler üzerindeki olumlu etkisini doğrulamaktadır. Ayrıca, festival programı ve sosyalleşme ile davranışsal niyetler arasındaki ilişkilerde hedonizmin aracılık rolü bulunmaktadır. Bu çalışma, müzik festivallerinin katılımcılarının deneyimlerini ve davranışlarını anlamak için önemlidir. Araştırma sonucunda elde bilgilerin festivallerin planlanması ve yönetilmesi süreçlerinde değerli bir rehberlik sağlayacağı düşünülmektedir. Araştırmanın, festival organizatörlerine katılımcıların beklentilerini karşılamak, memnuniyetlerini artırmak ve festivallerin etkin bir şekilde düzenlenmesine yardımcı olabilecek önemli bir katkı sunması beklenmektedir.
Exploring the Intersections of Artificial Intelligence, Organizational Behavior, and Communication Dynamics in the Modern Workplace
Authors: Gabelaia Ioseb , Bagočiūnaitė Ramunė , Navickienė Viktorija
Published: May 2024

Purpose: While organisations struggle to improve efficiency and productivity, the interaction between AI, organisational behaviour, and communication dynamics tends to be complex in the rapidly evolving modern workplace. Moreover, understanding the implications of this intersection is necessary to encourage a balanced and effective workplace. Hence, employing AI technologies in organisational structures introduces challenges such as workforce adaptation, psychological impact, and communication patterns. This research explored how AI influences organisational behaviour and communication dynamics in the modern workplace.
Study design/methodology/approach: This study used a mixed method to explore organisational behaviour and communication dynamics across diverse industries comprehensively. This questionnaire aimed to gather respondents’ experiences, focusing on organisational behaviour and communication dynamics. Furthermore, in-depth interviews were conducted with key stakeholders (n = 13) to obtain additional insights into goodness and trustworthiness. These interviews offered more depth and richness, providing insights into organisational settings. This mixed methodology ensured a complex understanding of the research problem, leveraging quantitative and qualitative data to enhance the analysis.
Findings: The research findings revealed the pathways to how AI influences organisational behaviour and communication dynamics. Initial analysis of survey data and interviews offered insights into employee perceptions, identifying potential challenges and opportunities. One major trait emerging from data analysis is employees’ unstable levels of apprehension and enthusiasm regarding AI integration. While many view it as a mechanism for efficiency, productivity, and innovation, others indicate distress about job shifts and loss of autonomy. Understanding and adopting these opposing insights are fundamental for encouraging a positive organisational ecosystem for AI readiness and adoption.
Originality/value: By examining the impact of AI on employees’ attitudes, collaboration, and communication patterns, this research contributes viable insights for organisations navigating the integration of AI into their structures.
Supporting the Ethical Use of Artificial Intelligence Applications in Universities – A Research Based on Students Opinions
Authors: Draghici Anca , Luminosu Caius , Repanovici Angela , Koukourakis Manolis , Dermol Valerij , Taucean Ilie Mihai
Published: May 2024

Purpose: The purpose of the research was to identify a feasible way to support the ethical use of AI in universities based on identifying how the AI software application ChatGPT is used in education at higher education institutions and with students in different majors.
Study design/methodology/approach: The research methodology consisted of the following stages: (1) a survey based on a questionnaire designed considering the Technology Acceptance Model (TAM) framework to collect students’ opinions on the use of AI ChatGPT; (2) The results of the survey were used to design the materials of the AI Transmedia Campaign, but also to identify the best distribution channels of them; (3) After implementing the AI Transmedia Campaign, a feedback survey was developed, ascertaining the effectiveness of the approach to create an ethical behaviour towards the AI software application in general, and on AI ChatGPT, in particular.
Findings: Research shows a gap in regulating the ethical use of AI applications in higher education. Thus, the AI Transmedia Campaign has been well received and appreciated by all categories of students.
Originality/value: The research is international and was carried out in higher education institutions in Romania, Greece, and Slovenia (the size of the research sample, 2942, proves the scope of the study). The research results have demonstrated and characterised the students’ behaviour (the cognitive response and the intention to use) towards the use of AI ChatGPT and the utility of the AI Transmedia Campaign realised in the context of the implementation of the RespectNET project (2021-1-IT02-KA220-HED-000027578, https://respectnet.eu/).
Gestión de riesgos en atmósferas explosivas para la reducción de accidentes en una planta minera
Authors: Trujillo Huamán Jorge Luis , López Kohler José Raúl
Published: May 2024

La presente investigación tuvo como objetivo realizar la gestión de riesgos en atmósferas explosivas para reducir los accidentes en la planta minera de Nexa Cajamarquilla, durante los años 2021 – 2022. El tipo de estudio fue explicativo, descriptivo y diseño no experimental; la muestra estuvo conformada por cuarenta trabajadores de la empresa, entre supervisores y operadores, quienes tienen relación directa con el acceso a 4 tanques de que producen hidrogeno, en el proceso de purificación fría en el área de hidrometalurgia. La técnica utilizada para recolectar los datos fue de observación utilizando para ello como instrumento como una lista de comprobación para obtener datos históricos de construcción, operación y mantenimiento de los equipos. Conclusión, durante los años previos al 2018 ocurrieron más 80 accidentes relacionados a atmósferas explosivas, incrementándose éstos a 43 accidentes entre los años 2018 al 2020, no obstante, luego de implementar la adecuada gestión de riesgos en atmósferas explosivas se generaron 20 accidentes entre los años 2021 y 2022 reduciéndose así en más del 50 % en relación a los últimos años. Estos datos nos permiten afirmar que la gestión de riesgos en atmósferas explosivas reduce los accidentes.