bluuebunny/crossref_metadata_2025 huggingface dataset:
BOM PROFESSOR
Authors: Aredes Soares dos Santos Gislaine , Moreira Machado Lima Vanda
Published: October 2023

Este artigo resulta de pesquisa de mestrado e tem como objetivo refletir o significado da expressão “Bom Professor”, a partir de pesquisas acadêmicas, referenciais teóricos e professores de anos iniciais do Ensino Fundamental de uma escola no interior do Estado de São Paulo. O estudo é de abordagem qualitativa com a realização de pesquisa bibliográfica e empírica através de aplicação de 20 (vinte) questionários e, posteriormente, a realização de 4 (quatro) entrevistas reflexivas junto aos docentes participantes da investigação. O referencial teórico abrange autores com viés da Pedagogia Crítica e Histórico-Crítica. Os resultados revelaram que o trabalho educativo dos professores está imbuído da dimensão técnica do fazer docente e que, nos momentos de reflexão e narrativas acerca de sua própria prática, os elementos para se considerarem bons professores são predominantemente técnicos, pautados pelo domínio dos conteúdos a serem trabalhados.
Application of Chicken Feather in Textiles
Authors:   Dept of Fashion Technology, Kumaraguru College of Technology, K Monish , CM Vidya Bharathi , S Dr.Kavitha
Published: October 2023

Chicken feathers are a valuable source of biomaterials that can be used in a variety of industries. In recent years, chicken feathers have found their way into everything. It is important to note that the exact chemical composition of the chicken feather can vary depending on factors such as the age and health of the bird, diet, genetics, and environmental conditions. Chicken feather fractions have potential applications as textile fibres for yarns, fabrics, and composites. This paper summarizes the chemical composition and biodegradability of chicken feather fibres and discusses their potential applications.
STM32 BASED WATER QUALITY MONITORING SYSTEM
Authors:   Electrical and Electronics Engineering & Bannari Amman Institute of Technology, K Sasinath , F Abigeshwar , M Abdhul Kalaam , R Ramkumar
Published: October 2023

Water is a precious and essential resource for all life on Earth. Ensuring the quality of water is vital for human health, environmental sustainability, and various industrial applications. This project introduces a novel STM32-based Water Quality Monitoring System designed to address the need for continuous and real-time monitoring of water parameters in various settings like pH and electrical conductivity sensors. The STM32-based Water Quality Monitoring System offers several advantages, including early detection of water pollution, enabling prompt action to mitigate environmental damage and health risks. It provides historical data for trend analysis, aiding in the identification of long-term water quality patterns and trends. Additionally, it reduces the need for manual sampling and laboratory testing, thus lowering operational costs for water treatment facilities. Furthermore, the system is highly adaptable and can be integrated into a variety of water management scenarios, including municipal water supplies, industrial processes, aquaculture, and environmental monitoring. It promotes sustainable water resource management by ensuring that water quality remains within safe and regulated standards In summary, this project presents an innovative STM32-Based Water Quality Monitoring System that leverages advanced microcontroller technology to address the critical issue of water quality monitoring. Key Words: water quality, stm32, pH sensor, conductivity sensor, aquaculture
MULTILEVEL INVERTER WITH REDUCED SWITCHES FOR ELECTRICAL VEHICLE
Authors:   Electrical and Electronics Engineering & Bannari Amman Institute of Technology, M Sudharsan , V Surya , S Gnanavel , GM Oorappan
Published: October 2023

This project focuses on the development of an innovative multilevel inverter designed specifically for electric vehicles (EVs), aiming to reduce complexity and enhance efficiency by minimizing the number of switches in the inverter topology. The conventional multilevel inverter configurations often involve a high count of switches, leading to increased costs, intricate designs, and elevated power losses. In contrast, our approach seeks to optimize the inverter's performance by employing advanced control strategies and modulation techniques while significantly reducing the number of switches. This reduction not only simplifies the design but also lowers production costs and maintenance efforts. Moreover, the project emphasizes the compact integration of the inverter into the EV powertrain, addressing the size and weight constraints of electric vehicles. Through thorough simulations and practical experiments, the proposed multilevel inverter's performance will be evaluated in terms of efficiency, power quality, and reliability. The anticipated outcomes aim to contribute to the advancement of power electronics for sustainable transportation, providing a more efficient, cost- effective, and compact solution tailored to the unique requirements of electric mobility. This research has the potential to significantly impact the field, fostering further innovations in power electronics for clean and efficient transportation solutions .Key Words: Electric vehicle, Inverters, Switches, Efficiency.
POWER QUALITY IMPROVEMENT FOR INDUSTRIAL CONNECTED POWER SYSTEM
Authors:   Electrical and Electronics Engineering & Bannari Amman Institute of Technology, N Pradeep , G Jayavarman , R Rajesh , N Rishikesh
Published: October 2023

Power quality is a critical aspect of electrical supply systems, especially in industrial settings where the operation of sensitive equipment and manufacturing processes heavily relies on stable and high-quality electrical power. This paper presents an overview of the challenges associated with power quality in industrial loads and explores various solutions aimed at improving it. Industrial loads are prone to various power quality issues, including voltage sags, harmonic distortions, voltage fluctuations, and transient disturbances. These issues can lead to production downtime, equipment damage, and increased operational costs. To address these challenges, a multifaceted approach is required. This paper discusses several strategies for power quality improvement in industrial loads. These strategies encompass both proactive and reactive measures. Proactive measures include proper equipment selection, load balancing, and the use of power factor correction devices to reduce harmonic distortions and improve overall system efficiency. Reactive measures involve the installation of protective devices such as surge suppressors and voltage regulators to mitigate the impact of voltage sags and transient events. Furthermore, the paper explores the role of advanced technologies such as Dynamic Voltage Restorers (DVRs) in rapidly correcting voltage sags and enhancing power quality. It also emphasizes the significance of real-time monitoring and data analytics for identifying power quality issues and optimizing load management. Key Words: Power quality, Power quality issues, harmonic distortions, Dynamic Voltage Restorers (DVRs),
Assessing the Impact of Service Recovery Strategies on Customer Satisfaction in the Hospitality Industry
Authors: Yuvasubramaniyan Dr. C
Published: October 2023

Studying customer Opinion of service quality in the banking industry holds immense importance for both financial institutions and the customers they serve. Firstly, understanding customer perception allows banks to identify areas of strength and weakness in their service delivery. This insight enables them to make targeted improvements in the dimensions that matter most to their customers. For example, if customers perceive a lack of empathy in their interactions, banks can focus on training and developing their staff to be more empathetic, ultimately enhancing the customer experience. Secondly, the study of customer perception helps banks gauge their competitive position in the market. In a highly competitive industry like banking, where customers have numerous choices, having a clear understanding of how customers perceive the quality of their services can be a strategic advantage. Banks can use this information to differentiate themselves from competitors and attract and retain customers. Moreover, customer perception studies provide valuable feedback that can be used for benchmarking against industry standards and best practices. Banks can compare their performance with that of peers, leading to industry-wide improvements in service quality. Additionally, a positive perception of service quality can directly impact customer loyalty and retention. Keywords: Customer perception, Banks, Reliability, Assurance, Responsiveness and credibility.
CLASSIFICATION OF FRESH AND ROTTEN FRUITS USING DIFFERENT CNN MODELS
Authors: D Ms. Suseela , S Varsha , C Bharaneedharan , Shivani C Lekshana
Published: October 2023

Fruit freshness automated classification is crucial to the agricultural sector. In the traditional procedure, a human being grades the fruit. Additionally, this process is labor-intensive, time-consuming, and ineffective. Additionally, it raises production costs. Therefore, a quick, precise, and automated system that may lessen human effort, enhance production, and decrease manufacturing time and cost is needed for industrial applications. The deep learning- based model for classifying fruit freshness is used in the current work. Various Convolution Neural Network (CNN) models are proposed, and they are implemented using the publicly available "fruit fresh and rotten for classification" kaggle dataset. Three fresh fruit varieties (Apple, Banana, and Oranges) and their rotting category are employed in an experiment using the dataset. From the given fruit photos, traits or attributes are extracted using a CNN model based on deep learning. The input photos are then divided into fresh and rotting categories by a softmax method. The classification of fresh and rotten fruits uses a variety of CNN models, including Resnet50 (50 Layers), InceptionV3 (48 Layers), and VGG16 (16 Layers). The proposed various CNN models accurately and efficiently evaluate the dataset. Later, the accuracy of the proposed CNN models is compared and the highest accuracy among the three CNN models is identified. In this way, the best accuracy CNN models will be identified for classifying the fresh and rotten fruits. KEYWORDS: Deep learning, CNN model, Inception V3, Resnet50, VGG16.
ANALYSIS OF EXISTENCE OF RHEUMATOID ARTHRITIS IN GIVEN SUBJECT WITH ASSISTANCE TO INTERPRET RA IMPACT FACTOR DATA
Authors:   Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode,, B Divya , M Balasurya , J Rithik , M Selvakumar
Published: October 2023

This study proposes an original methodology for distinguishing Rheumatoid Joint pain (RA) utilizing Convolutional Brain Organizations (CNNs) in profound learning. The strategy uses a dataset of clinical pictures, preprocesses them, and feeds them into a CNN model. The CNN design catches pertinent highlights and utilizes completely associated layers for grouping. Execution assessment incorporates precision, awareness, explicitness, and AUC-ROC. Starter results show promising execution, demonstrating the capability of the methodology for early RA discovery. The proposed technique holds guarantee for helping clinical experts in convenient mediation and customized treatment plans. Future work includes approval on bigger datasets and investigating multi-modular information joining for further developed precision and visor. Keywords: Rheumatoid Arthritis, CNN (Convolution Neural Network), Deep Learning
A Review on Control Methods of SEPIC Converters
Authors: Journal IJSREM
Published: October 2023

In recent years, electric vehicles have witnessed a surge in popularity due to their energy-saving and eco-friendly attributes. Unlike conventional internal combustion engine vehicles, electric vehicles exhibit superior performance and operational efficiency. Within the realm of modern electric vehicles, power electronic circuits, notably including DC-DC converters, play a pivotal role. Among these converters, single- ended primary-inductor converters (SEPIC) find extensive use in scenarios where minimizing input and output ripple currents is essential. The primary objective of this project is to conceive and put into action advanced controllers for SEPIC converters, catering to a diverse range of applications, encompassing battery-powered devices, solar energy systems, and LED lighting systems. Key Words: DC-DC converter, SEPIC converter, PID, SMC, ASMC, Fuzzy logic Control.
Design recommendation of a care center to overcome the psychological and behavioral impact of infectious diseases on humans
Authors:   Faculty, Hekma School of Design and Architecture, Dar Al Hekma University, Jeddah, Saudi Arabia., Khan Shamim , Kaafil Shifana Fatima ,   Faculty, General Education, Dar Al Hekma University, Jeddah, Saudi Arabia.
Published: October 2023

The Covid 19 pandemic threatened the life of individuals, and there was a lack of information on treatment, handling of patients and disposal of waste. The psychological and behavioral impact on humans due to outbreak of Covid is studied and based on that, a person-centered care center is suggested. The research methodology used are surveys and interviews among stake holders. Based on the surveys and interviews conducted during the pandemic, it is found that 94% of the respondents prefer to use private vehicles with at least one member to accompany them. People prefer to use 3 ply facemasks, followed by cotton masks and N95 masks. Existing literature discusses the physical effects on individuals. This paper focuses on psychological and behavioral changes. Based on the study, person centered a care center is recommended with facilities to treat patients with different levels of infections and a counselling center for the persons suffering from Covid and other infectious diseases.
Biofilms en pacientes con dispositivos ortopédicos
Authors: Guamán Torres Julio Guillermo , Estrella Toral Cesar Augusto
Published: October 2023

Antecedentes: Los dispositivos ortopédicos, como implantes articulares, placas y tornillos, son ampliamente utilizados para tratar diversas condiciones médicas e implementar medidas que favorezcan el bienestar de los pacientes. A pesar de ello, uno de los problemas más significativos asociados con estos dispositivos es la formación de películas biológicas “biofilms”. La presencia de estas estructuras en dispositivos ortopédicos puede llevar a complicaciones graves, como infecciones crónicas, rechazo del implante y disminución de la funcionalidad del dispositivo, lo que representa un desafío significativo para la comunidad médica.

Objetivo General: Identificar de manera precisa las infecciones óseas postoperatorias en pacientes sometidos a cirugías con implantes ortopédicos.

Desarrollo: se realizó una revisión bibliográfica tipo narrativa. Se uso una variedad de buscadores y bases de datos especializadas en el ámbito de la salud, incluyendo PubMed, Embase, Scopus, Web of Science, Springer, Google Scholar, entre otros recursos, mediante identificación-cribado-elegibilidad-selección y basado en el rango de calidad de Scimago Journal Rank.

Resultados: se observó que biomateriales de cobalto-cromo presentan menor tendencia a infecciones, se evidencio mayor proliferación de cepas bacterianas de S. epidermidis y K. pneumoniae seguidas por P. aeruginosa y E. coli, mientras que S. aureus mostró la adherencia más baja. En la mayoría de los casos no se observó una recaída de la infección.
The Urgency of Local Wisdom-Based Population Training for Family Planning Educators
Authors: Sekarpuri Anindita Dyah , Rubini Bibin , Hardhienata Soewarto , Handayani Handayani
Published: October 2023

This article aims to discuss the importance of technical training for Family Planning instructors to increase competence in developing Population Data Houses, which is one of the government programs for implementing self-management of population data in rural areas using the local wisdom of silih asih, silih asah, and silih asuh. This research is a quantitative descriptive study carried out in June 2022 with 38 Family Planning Counselor respondents in Bogor Regency, West Java. The results of the research show that the perception of Family Planning instructors regarding local wisdom is at an average of 3.84, which means that the basic capital to be able to form a masagi or perfect character is at a good level, this can be the basic capital to be able to help each other develop themselves in the program training that will be developed in the future for West Java Province Family Planning Counselors. From the results of this assessment, it can be concluded that in the future Population technical training based on local wisdom is necessary for Family Planning instructors by preparing training tools that are appropriate to field conditions.
Probabilistic Statistics to Aid Novel Heavy Metal Analysis in ADHD – A Case-Control Study with Bayesian Statistics
Authors:   Department of Biochemistry, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India, Nayak Saurav , Sahu Suchanda ,   Department of Biochemistry, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India, John Joseph ,   Professor, Department of Paediatrics, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Published: October 2023

Background and objectives: Probabilistic statistical methods with the help of Bayesian Statistics help to analyze biomedical data with a newer and wider perspective. Combined with the knowledge provided by previous data, the novel approach was undertaken to study the association of Attention Deficit Hyperactivity Disorder (ADHD) with heavy metals in children. ADHD is characterized by inattention, impulsivity, and hyperactivity. Being a widely prevalent neurodevelopmental disorder, it is attributed to both genetic and environmental etiology. Hair and urine samples were used instead of blood as two non-invasive sources for assessing heavy metals. Materials and Methods: ADHD children diagnosed as per DSM-V criteria and age-matched healthy controls were recruited in this study. Hair and urine samples were analyzed for arsenic, cadmium, copper, lead, nickel, and zinc. The levels of heavy metals were measured using ICP-OES after acid digestion and extraction. Bayesian Statistics in JASP v0.15 was used for statistical analysis. Results: The Bayes Factor, BF10 for the group with ADHD vs. healthy children, were significantly different for all heavy metals. In both hair and urine, lead, cadmium, nickel, and copper concentrations were higher in ADHD. However, zinc levels were lower in both samples for ADHD. Conclusion: By the probabilistic method, heavy metals are higher in the urine and hair of children with ADHD. Key Words: Attention Deficit Hyperactivity Disorder, Bayesian Statistics, ICP-OES, heavy metals
Evaluating Light Pollution: An IES Model for Intervention Strategies
Authors: Su Ruixi , Chen Yi , Huang Zibin
Published: October 2023

There is an increasing urgency to address how the light pollution risk level can be accurately and comprehensively measured and evaluated. Based on current research and data, this paper proposes a model concerning light pollution risk levels applicable to various regions. Optimized intervention strategies are then provided to reduce the effect of light pollution. For one thing, this paper establishes an Illumination-Environment-Society Evaluation (IES) model to evaluate a region’s light pollution risk level. Primary indicators of the model involve three dimensions, each quantified by 2 to 5 secondary indicators, with sufficient data analysis conducted, including data rasterization of satellite remote sensing images, K-means clustering analysis, Principal Component Analysis (PCA), Entropy Weight Method (EWM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytic Hierarchy Process (AHP), and other assistant algorithms. In this regard, the present study obtains and grades some regions’ light pollution risk levels. For another, this paper determines three possible intervention strategies for light pollution based on the IES model after interpreting the results. Non-linear programming methods are also employed to optimize these three strategies. The present study aims to exploit a new avenue for relevant environmental research, providing references for light pollution measurement and intervention.
Pengaruh Model Pembelajaran Problem Based Learning terhadap Hasil Belajar Siswa pada Materi Perkalian di Kelas III SDN Sidoklumpuk
Authors: Atikah  , Istiq’faroh Nurul
Published: October 2023

Model pembelajaran konvensional pada materi perkalian matematika yang umum dipakai oleh guru di kelas sering belum memenuhi kriteria ketuntasan minimal (KKM). Tujuan penelitian ini adalah untuk mengetahui pengaruh model pembelajaran Problem Based Learning (PBL) terhadap hasil belajar siswa pada materi perkalian di sifat komutatif matematika. Penelitian menggunakan studi kasus pada kelas III di SDN Sidoklumpuk, Sidoarjo. Jenis desain penelitian adalah quasi experiment. Hasil uji prasyarat menunjukkan bahwa terdapat perbedaan antara penggunaan model pembelajaran Problem Based Learning terhadap hasil belajar siswa pada materi perkalian di sifat komutatif. Perbedaan nilai N-Gain hasil belajar siswa pada materi perkalian di sifat komutatif pada kelas eksperimen yang menggunakan model pembelajaran Problem Based Learning menunjukkan nilai N-Gain sebesar 0,58 dan pada kelas kontrol yang menggunakan model pembelajaran konvensional menunjukkan nilai N-Gain sebesar 0,36. Model pembelajaran Problem Based Learning terbukti lebih berpengaruh terhadap hasil belajar siswa dibandingkan model pembelajaran konvensional.
The conventional learning model on math multiplication material that is commonly used by teachers in the classroom often does not meet the minimum completeness criteria. The purpose of this study was to determine the effect of the Problem Based Learning (PBL) learning model on student learning outcomes in multiplication material in the commutative nature of mathematics. The research used a case study in class III at SDN Sidoklumpuk, Sidoarjo. This type of research design was a quasi experiment. The results of the prerequisite test show that there were differences between the use of the Problem Based Learning learning model on student learning outcomes in multiplication material in the commutative nature. The difference in the N-Gain value of student learning outcomes in multiplication material was commutative in the experimental class using the Problem Based Learning learning model showing an N-Gain value of 0.58 and in the control class using conventional learning models showing an N-Gain value of 0. 36. The Problem Based Learning learning model is proven to have more influence on student learning outcomes than conventional learning models.
EFFICIENCY IMPROVEMENT FOR ELECTRONICALLY STEERED DUAL-BEAM ANTENNA BY USING METAMATERIAL BASED RADOME
Authors: Yatongchai Auychai , Khamsalee Peerasan , Wongsan Rangsan
Published: October 2023

Efficiency improvement for electronically steered dual-beam antenna by using metamaterial based radome are a PCB based circular-patch antenna design for dual beam steering is presented. This design employs the symmetrical slots inserted into the surface at eight angles of circular-patch antenna, thus, the original circular-patch antenna is reconfigured as consisting of eight small square-patches placed on eight angles and separated by such the slots. The beam steering property of this antenna can be implemented by controlling the on/off state of PIN diodes, which connected between each small square-patches and main patch at each angle of the structure. When the diode is on, the small square-patch becomes a part of radiating patch, whereas is off, the small square-patch becomes the parasitic element. The antenna is designed for the future high altitude platform such as, drone, Aircraft, missile, etc. That can be tracked or commanded from its control station within the given range and without disconnection. This antenna is investigated at 5.8 GHz of frequency and provided the bandwidth at 113 MHz, which is high enough for the unmanned aerial vehicles UAVs application, The antenna provides the gain of 7.13 dB without meta radome and switchable the dual-beam in eight different space quadrants for the azimuth plane by exciting forward bias with binary sequence to the PIN diodes. While it provides the constant tilted beam of 35° and angular width (3dB) 52.4° in the elevation plane and efficiency improvement for the antenna provides a gain of 10.18 dB with meta radome, approximately.
Sistemas de despoeiramento em processos siderúrgicos
Authors: De Souza Marcelo Augusto Vieira , Rodrigues Fernando Altino Medeiros , Sousa Zilacleide da Silva Barros , Lacerda Dilma dos Santos
Published: October 2023

Os sistemas de despoeiramento industriais são compostos por equipamentos e dispositivos que auxiliam na limpeza e tratamento do ar, além da melhoria no processo de produção. Desse modo, os resíduos gerados no manuseio e na manufatura das matérias-primas são captados e tratados corretamente, evitando que afetem a saúde dos trabalhadores, bem como área de produção. Assim sendo, praticamente todo tipo de resíduo pode ser tratado com a utilização de um sistema de despoeiramento: fumos; pós e poeiras (combustíveis ou não) e partículas em suspensão. Um sistema de despoeiramento eficiente e inteligente possibilita a filtragem do ar no ambiente, ajudando também no controle de emissão de poluentes, previstos nas leis e normas. Os sistemas de despoeiramento nos processos siderúrgicos visam a retirar o material particulado presente nos fluxos gasosos. O objetivo central é reduzir a poluição atmosférica resultante da produção do aço, considerando os vários requisitos legais aplicados nos âmbitos nacionais e internacionais. O objetivo do artigo visa realizar uma abordagem ampla dos sistemas de despoeiramento existentes em processos siderúrgicos, através de operações que geram emissões durante o processo de produção de aço.
Prospecção fitoquímica e inibição da formação de biofilmes de Listeria monocytogenes por extratos (aquoso bruto e fracionados) de Eugenia pitanga
Authors: Buhl Bárbara , Da Silva Bárbara Parraga , Pereira Cristiano de Aguiar , Schneider Giovana , Willrich Joana Elisa , De Freitas Elisete Maria , Hoehne Lucélia , Ethur Eduardo Miranda
Published: October 2023

A listeriose é uma doença grave causada pelo patógeno Listeria monocytogenes e apresenta altas taxas de hospitalização e mortalidade. Sua ocorrência se dá pela ingestão de alimentos contaminados, como carnes e queijos, e é um grande desafio às indústrias alimentícias devido ao seu potencial de adaptação a diferentes situações, em especial ao seu potencial de formação de biofilmes. Desta forma, novas substâncias com diferentes mecanismos de ação são necessárias para enfrentar este problema e a pesquisa com plantas pode resultar em moléculas inéditas e com um grande potencial terapêutico. O gênero Eugenia já possui diversos estudos demonstrando seu potencial antimicrobiano, como é o caso de Eugenia uniflora (popularmente conhecida como pitanga) e dessa forma, a pesquisa de espécies ainda não muito exploradas como é o caso de Eugenia pitanga (popularmente conhecida como pitanga-do-campo), pode resultar em moléculas importantes para uso na saúde. O objetivo deste estudo foi avaliar o potencial antibiofilme do extrato bruto e de diferentes frações de E. pitanga frente a L. monocytogenes e analisar quais classes de metabólitos estão presentes nestes extratos. Extrato aquoso bruto, hexânico, diclorometano, acetato de etila, metanol e água residual foram produzidos a partir das folhas de E. pitanga e a prospecção fitoquímica foi realizada a partir de cromatografia em camada delgada, já para a atividade antibiofilme utilizou-se microplacas de 96 poços, onde verificou-se a biomassa formada. Como resultados, destacamos o potencial dos extratos mais polares de E. pitanga como agente antibiofilme, já que estes extratos foram capazes de inibir mais de 90% da formação dos biofilmes de L. monocytogenes, na concentração de 4000 µg.mL-1. Dessa forma, este estudo contribui para futuros bioensaios que visem a identificação e isolamento de substâncias bioativas vegetais responsáveis pelo potencial antibiofilme dos extratos de E. pitanga.
The challenge of innovation and the nature of jobs under the pandemic-19
Authors: Maldaner Luís Felipe , Fiorin Flávia Siqueira , Eckert Daniela Carolina
Published: October 2023

This article aims to discuss the impact of technological advances on the nature of work in Brazil, under three main aspects: a) the context of innovation processes; b) the introduction of industry 4.0 concept; c) the Covid-19 pandemic. Technological changes, both in the innovation process in the company, and in the advent of industry 4.0, were, to a certain extent, hastened by the emergence of the Covid-19 pandemic. In this sense, the analysis carried out by this study was based on data provided in surveys carried out by IBGE (Brazilian Institute of Geography and Statistics) and by IPEA (Institute of Applied Research). The findings of this research show two main aspects: a) workers in certain areas need to improve new skills, especially with regard to cognitive flexibility and emotional intelligence to support work in this new era of digitalization associated with remote work caused by the pandemic; b) companies will have to rethink their infrastructure and invest in new digital technologies to remain competitive and be able to operate with a portion of their employees working in the home office productively. In addition, they will have the flexibility to manage people in these conditions and obtain the best results from them.
Fezes humanas como fonte de energia renovável em unidades risionais: análise de viabilidade econômica
Authors: Brito Mateus Ramos , Muniz Pablo Rodrigues
Published: October 2023

Devido ao constante aumento da demanda por fontes renováveis para geração de energia elétrica, faz-se necessário realizar um estudo de viabilidade econômica sobre possibilidades disponíveis no país. Uma vez que unidades prisionais têm população e consumo de energia com baixa variabilidade, este artigo avalia economicamente a instalação de sistemas geradores de energia elétrica a partir das fezes produzidas por detentos em uma unidade prisional. Considerando o custo de capital para investimentos públicos, as variáveis técnico-econômicas dos equipamentos e materiais envolvidos, conclui-se que o sistema é atrativo economicamente.
Construção e avaliação coletiva e protagonista de indicadores qualitativos de educação permanente em saúde
Authors: Lourenço Mariana Pissioli , Silva Poliana Avila , Costa Maria Antonia Ramos , Berardinelli Lina Márcia Migueis , Brito Irma da Silva , Baldissera Vanessa Denardi Antoniassi
Published: October 2023

Objetivo: analisar o processo de construção e avaliação coletiva e protagonista de indicadores qualitativos de Educação Permanente em Saúde (EPS). Metodologia: participativa e colaborativa, desenvolvida a partir do método Design Thinking, que teve como público alvo os gestores municipais de saúde, profissionais de saúde representantes da gestão municipal, representantes setoriais e equipe diretiva da Regional de Saúde da macrorregião noroeste de saúde do estado do Paraná-Brasil. Realizou-se análise documental, grupos focais e formulários online para coleta de dados, que foram analisados segundo a Política Nacional de Educação Permanente em Saúde e a Teoria Dialógica de Freire. Resultados: indicadores qualitativos de educação permanente em saúde foram construídos e validados, de forma participativa, a partir da problematização da realidade. Considerações finais: a atividade colaborativa propiciou a análise da construção de indicadores qualitativos de EPS, além de consolidar a produção de conhecimentos relacionado a EPS e seus conceitos, a partir da emancipação dos sujeitos.
O direito da personalidade e os reveses da responsabilização civil na inteligência artificial
Authors: Cugula Jarbas Rodrigues Gomes , Otero Cleber Sanfelici
Published: October 2023

O texto aborda a importância da identidade individual e sua relação com o contexto social. O objetivo é propor uma reflexão quanto à reponsabilidade civil em razão do emprego da Inteligência Artificial (IA), resguardando os direitos de personalidade. A metodologia empregada é pesquisa bibliográfica e inicia-se por meio de uma revisão da literatura. A evolução da IA traz novos desafios, exigindo regulamentações adequadas para proteger os direitos individuais, como a integridade corporal, psicológica e moral. É essencial garantir a privacidade, segurança e dignidade das pessoas diante do uso crescente da IA em reconhecimento facial, análise de dados e tomadas de decisões automatizadas. É crucial a utilização ética e responsável da Inteligência Artificial, com a mitigação de vieses e preconceitos presentes nos dados, para isso é vital estabelecer a responsabilidade legal em casos de danos causados por sistemas autônomos de IA. Regulamentações são necessárias para aproveitar os benefícios da IA, com proteção dos direitos individuais e promovendo um convívio social harmonioso.
Os desafios enfrentados pelas docentes na educação infantil em meio a pandemia da COVID-19
Authors: Stein Saiba Magalhães , Ruiz Simone Cecilia Paoli , Queiroz Joristelma de Souza , Da Silva Joyce Mara Lima , Souza Welynton Pereira
Published: October 2023

Em meio as lutas e conquistas na   Educação Infantil nas últimas décadas, viu-se o acréscimo de mais desafios para os docentes desta etapa de educação, com a chegada da pandemia. A pesquisa, buscou amparo em documentos legais dos governos Federal e municipal, artigos, teóricos e autores especialistas. A pesquisa teve foco quantitativo e qualitativo. Como objetivo geral:  identificar os principais desafios encontrados pelas docentes para o desenvolvimento do processo de ensino e aprendizagem na Educação Infantil.  Os objetivos específicos: refletir os desafios vivenciados pelas docentes para o desenvolvimento do ensino e aprendizagem do ensino remoto no contexto pandêmico e analisar os desafios relatados pelas docentes para desenvolvimento das aulas remotas na Educação Infantil em meio da pandemia da covide19. A pesquisa abordou um número de sete docentes de dois CMEI’s. Foi aplicado um questionário com uma pergunta discursiva. Dos dados coleta com as docentes; 100% registraram os desafios. As análises dos dados comprovam a necessidade de repensar novas ferramentas como as mídias tecnológicas para o desenvolvimento das aulas na Educação Infantil, com a finalidade de abrandar o impacto que foi o momento pandêmico.
Avaliação dos registros de enfermagem em rede básica de saúde: abordagem quantitativo descritiva
Authors: Sales Fabrícia Martins , Almeida Victórya Borges Nascimento , Santana Rosimere Ferreira , Hipólito Rodrigo Leite , Flores Paula Vanessa Peclat , De Oliveira Natan Duarte , Dos Santos Mauro Leonardo Salvador Caldeira , Correia Dayse Mary da Silva
Published: October 2023

Avaliar a qualidade dos registros de enfermagem evidenciados em prontuários de indivíduos atendidos em rede básica de saúde segundo as recomendações estabelecidas pelo Conselho Federal de Enfermagem. Estudo quantitativo, retrospectivo, descritivo. Amostra composta por 156 registros de enfermagem. Dados coletados por meio de instrumento estruturado e analisados através do cálculo das frequências absoluta e relativa dos indicadores. 120 registros (77%) foram efetuados por técnicos e 36 (23%) por enfermeiros. Quanto às recomendações, 6 (22,22%) foram totalmente cumpridas, 10 parcialmente (37,03%) e 11 (40,75%) não foram cumpridas. Foi constatada a baixa qualidade dos registros de enfermagem. Recomenda-se o investimento em sistema de linguagem padronizada, educação permanente e auditorias. Adverte-se quanto à necessidade de aprimoramento do ensino sobre registros e Processo de Enfermagem, elementos fundamentais para assegurar a qualidade e a segurança da assistência prestada.
Notwendige Maßnahmen zur Beseitigung naturwidriger Zustände im Nationalpark Schwarzwald
Authors: Asch Thomas , Straub Florian
Published: October 2023

In the Black Forest National Park (Germany), the target must be to restore ecological integrity by reactivating deactivated natural processes and thus to promote biodiversity, including the umbrella species capercaillie (Tetrao urogallus), which is threatened with extinction. Relevant priority actions include the rewetting of peatlands, a significant change in deer management, an increase in grazing pressure and (re)expansion of grazing especially for favorable (low) height of the blueberry shrub cover (15 cm), and the integration of fire into site management. These mea- sures are likely to restore, at least in part, lost but essential natural processes in the national park and contribute strongly to the promotion of biodiversity. In addition to the habitat management measures already initiated, they are an indispensable contribution to climate and species protec- tion and stringently continue the idea of process conservation.
EFFECT OF HOT ROLLING AND SOLUTION TREATMENT ON THE MICROSTRUCTURE AND MECHANICAL PROPERTIES OF FE-MN-SI-CR-NI SHAPE MEMORY ALLOY
Authors: Rohmah Miftakhur - , Sendouw Emmanoela Carissa , Tanjung Rifqi Aulia , Utama Dedi Pria , Mabruri Efendi
Published: October 2023

Fe-14Mn-4Si-8Ni-11Cr SMA (shape memory alloy) was designed as a smart material because of its specific properties, which can memorize the original shape, so it has the potential to dampen vibration in seismic structures. Memory effect is triggered by SIM (stress-induced martensitic) transformation from γ-austenite to ε-martensite (hexagonal close-packed / HCP) structure, and it is recovered by heating after unloading. This study investigated the effect of hot rolling and solution treatment on the microstructure and its relationship with hardness and SME (shape memory effect) properties. The as cast of Fe-14Mn-4Si-8Ni-11Cr was hot rolled (900 and 1000 ℃) and solution treated (1000 and 1100 ℃). After the thermomechanical process, all microstructures consist of γ-FCC (face-centered cubic), the annealing twins, and a fine band of ε-martensite. The grain size of the γ-phase is 29.43, 41.96, 42.44, and 45.57 μm for samples B, C, D, and E, respectively. The higher the temperature of hot rolling and solution treatment applied, the larger the grain size obtained, indirectly reducing the hardness to 299.93 BHN and 286.52 BHN for samples D and E. The coarsened austenite grain, a lower number of annealing twins, and the pre-existing line band of ε-martensite are favorable to obtain the enormous recovery strain, up to 8.26% for sample E.
SYNTHESIS OF NICRALX MICROPARTICLES USING DRY MILLING AND WET MILLING PROCESSES
Authors: Ramandhany Safitry , Triyono Djoko , Sugiarti Eni , Desiati Resetiana Dwi , Sundawa Risma Yulita
Published: October 2023

The characteristics of synthesized NiCrAlY and NiCrAlZr composite powders produced by the milling process were investigated to understand the particle size, the shape of particles, and the properties of crystalline structure. The milling process was carried out by combining dry milling with the wet milling method to prevent agglomeration, produce a homogeneous alloy powder, and reduce the particle size. Ethanol was used during the wet milling process as a process control agent. The PSA (particle size analysis) showed that the particle size was effectively reduced from ±70 μm to less than 30 μm. In addition, surface structure analysis characterized by SEM (scanning electron microscope) revealed that particle shape changed from blocky particles after dry milling into flaky, flattened, and fragmented particles after wet milling. An XRD (x-ray diffraction) was used to identify the phases of powders before and after the mechanical milling process. Crystal structure analysis was calculated from the change of peak broadening in XRD peak spectra. The Williamson-hall method has been performed to calculate the strain and crystallite size of synthesized NiCrAlY and NiCrAlZr composite powder in the present study. The findings in this study show the characteristics of powders, which are important information for producing coatings with good performance.
EFFECT OF COOLING-MEDIUM INDUCED INITIAL STRUCTURE BEFORE INTERCRITICAL ANNEALING ON THE MICROSTRUCTURE AND MECHANICAL PROPERTIES OF LOW ALLOY DUAL-PHASE STEEL
Authors: Romijarso Toni Bambang , Rohmah Miftakhur , Ariati Myrna , Mabruri Efendi , Siradj Eddy Sumarno
Published: October 2023

The present research focused on determining the effect of cooling-medium-induced initial structure before the intercritical annealing induced dual-phase structure in the low alloy steel. Low carbon steel, which consists of containing 0.09 wt.% C was heated at 920 °C for 30 minutes to austenitization and then cooled in various media to provide the different initial structures before the IA (intercritical annealing) process. After austenization, the cooling process in the furnace and open-air provided a ferrite-pearlite phase, while the cooling process in water generated full martensite as the initial structure. Afterwards, the sample was intercritical-annealed at 750 °C (temperature between Ac1 and Ac3 lines or intercritical zone) for 10 minutes and then quenched in water. The water quenching after the austenitizing process improved the mechanical strength of steel (919 MPa), compared to the as-received state (519 MPa) due to martensite formation. As the cooling rate increased after the austenitizing process, the tensile strength increased and the elongation decreased. The different structures before intercritical annealing affected the martensite volume fraction and further correlated with improving mechanical properties. The ferrite and pearlite, as the initial structure before the IA process, provide a smaller fraction of martensite (18.36 vol.% for furnace cooling and 27.85 vol.% for open-air cooling). In contrast, the full martensite as the initial structure before IA generates a higher fraction of martensite (39.25 vol.%). The tensile strengths obtained were 512, 516, and 541 MPa with elongations of 29.8%, 30.1% and 32.6% for cooling furnace, open air and water, respectively. The strain-hardening behavior during the intercritical annealing is not affected by the initial process of the structure.
Electroanalysis of tert-butylhydroquinone in food products using a paste electrode enlarged with single wall carbon nanotubes as catalyst
Authors: Dehdashtian Niloofar , Shahidi Seyed-Ahmad , Ghorbani-HasanSaraei Azade , Hosseini Shabnam , Ahmadi Mohammad
Published: October 2023

In this study, an electrochemical sensor was introduced as a simple and fast electro­analytical tool to monitor and sensing of tert-butylhydroquinone (TBHQ) in food products. The suggested electrochemical sensor is fabricated by modification of paste electrode (PE) by single wall carbon nanotubes (SWCNTs) as nanocatalyst. The oxidation current of TBHQ was improved by about 2.62 times and its oxidation potential was reduced by about 50 mV after using SWCNTs as conductive catalyst on a carbon paste matrix. The oxidation current of TBHQ showed a linear dynamic range of 0.05 to 390 µM in the sensing process using SWCNTs/PE as the electroanalytical sensor. On the other hand, SWCNTs/PE successfully monitored TBHQ with a detection limit of 10 nM at optimum conditions. The real sample analysis data clearly showed a recovery range of 97.2 to 104.3 %, which is very interesting for a new analytical tool in the food-sensing process.
Research on New Word Recognition Based on Weibo Information and SVM
Authors: Xu Yuanfang
Published: October 2023

In order to effectively recognize Weibo new words, this paper proposes a Weibo new word recognition method based on Weibo information and SVM. Firstly, positive and negative samples are extracted from the Weibo corpus and the training corpus annotated with part of speech. Next, the word features of these samples are vectorized and trained through support vector machines to obtain support vectors for new word classification. Finally, it is vectorized and inputted into the trained support vector machine classifier to obtain the recognized Weibo new words. By comparing the experimental results, the optimal fusion feature combination and SVM kernel function are obtained.
Selected cases of security deficit of social workers in field and office work
Authors: Mucha Wojciech
Published: October 2023

The publicystom is addressed primarily to pole Wdo arce responsie for the propenfunctioning of Social Welfare Centers (directors and managers) and to people whoperform public functions and practically create self-government in local governmentcommunities (presidents of cities, mayors and commune heads).In the presented article, the author points out the problem of the safety deficitof social workers during the performance of social work in the field and in office work.In the study, he points to selected case studies that prove that the area of work safetyof social workers is still a current problem.The text presents the tools with which Social Welfare Centers try to eliminatethe deficit of occupational safety of social workers and office workers. Attention wasdrawn to the ineffectiveness of the tools used or to their incorrect use.
Descriptive Osteology of Catfish, Sperata aorides (Jerdon, 1849) of the Bagridae Family from Cauvery River Basin, Tamil Nadu, India
Authors: Yaswanthkumar S.  , Bhavadharani P.  , Kannan K.  , S. Raja
Published: October 2023

The descriptive and comparative osteological analysis was conducted on Bagridae catfish S. aorides based on the specimens collected from the Cauvery River Basin in Tamil Nadu. S. aorides with a supraoccipital spine that is equal to or longer than the inter-neural shield with 26 pre-caudal vertebrae and has the first dorsal fin pterygiophores that are externally visible and united anteriorly rather than being distinct. The supra-occipital spine had the same width from base to tip with a broader base. The groves in the skull serve as the primary osteological indicator and serve as the morphological marker. The neuron cranium, upper and lower jaws, pectoral and pelvic girdles, and the vertebral column were among the bones whose structures were described based on the findings.
Polacy w Chorwacji – historia i współczesność
Authors: Kale Slaven
Published: October 2023

Artykuł przedstawia zarys historii mniejszości polskiej w Chorwacji ze szczególnym uwzględnieniem ważnych wydarzeń związanych z tą grupą narodową. Omówiono najważniejsze okresy w dziejach obecności polskiej w Chorwacji, uwzględniając wydarzenia od czasów nowożytnych do współczesności. Przedstawiono główne miejsca osadnictwa polskiego na ziemiach chorwackich, zarówno w XIX wieku, jak i współcześnie, przywołując najnowsze dane z przeprowadzonych spisów ludności. W treści artykułu przedstawiono sylwetki osób, które na różnych etapach swojego życia związane były z Chorwacją. Tym samym wyróżniono szereg osobistości ze świata kultury, polityki, życia gospodarczego czy społecznego, które wpływały na dalsze pogłębianie relacji polsko-chorwackich. Opisano także wszelkie obszary wpływające na kreowania życia polonijnego, szczególnie na przestrzeni ostatnich trzech dekad. Zaprezentowano status prawny i pozycję społeczną polskiej mniejszości oraz wskazano na szereg instytucji wspierających grupy polonijne w zachowywaniu narodowej tożsamości na chorwackiej ziemi.
Wilhelm Gibałka i pierwszy PZL P-24 zbudowany w Turcji
Authors: Baş Osman Firat
Published: October 2023

W latach 1935–1939 całkowicie metalowy myśliwiec PZL P-24 był zaliczany przez ekspertów lotniczych do najlepszych samolotów myśliwskich na świecie. Był on rozwiniętą wersją P-11 na eksport, napędzaną silnikiem Gnome-Rhône 14 Kfs o mocy 900 KM (662 kW). W 1936 roku Turecka Liga Lotnicza nabyła licencję na ich budowę i 40 gotowych płatowców P-24 (14 szt. P-24A i 26 szt. P-24C). Niniejszy artykuł przedstawia historię produkcji pierwszego P-24 w Wytwórni Samolotów Kayseri na podstawie obszernego artykułu opublikowanego w 1960 r. przez mgr inż. Wilhelm Gibałka – szefa zespołu instruktorów delegowanych do Turcji.