International Journal of Advanced Engineering Research and Science最新文献

{"title":"Productivity Evaluation of Five Soybean Cultivars in different Locations in Tocantins State","authors":"Guilherme Raposo Teixeira, Luiz Henrique de Freitas Barbosa, Ângelo Ricardo Balduíno, Cid Tacaoca Muraishi","doi":"10.22161/ijaers.106.1","DOIUrl":"https://doi.org/10.22161/ijaers.106.1","url":null,"abstract":"Soybean (Glycine Max) is characterized as an oleaginous plant, belonging to the Fabaceae family. Considered one of the main cultivars produced in Brazil, soybean has a high protein content for human and animal nutrition. It is a product widely used as biofuel and cooking oil, in addition to having a very important economic value for the economy in Brazil. in addition to having a very important economic value for the economy in Brazil. As main results obtained, it was noticed that the cultivars BMX Domínio IPRO, BMX Olimpo IPRO and SOY Muralha IPRO presented better performance in relation to their cultivation in the cerrado region of Tocantins, in the cities of Santa Rosa, Caseara and Aparecida do Rio Negro. The main objective of this article was to evaluate the productivity of five soybean cultivars (BMX Domínio IPRO, BMX Extrema IPRO, BMX Olimpo IPRO, DM 82I78RSF IPRO and Soy Muralha IPRO), in the cities of Santa Rosa, Caseara, Cariri do Tocantins, Campos Lindos and Aparecida do Rio Negro. The method used in the research was based on quali-quantitative, supported by bibliographical and exploratory research","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77167190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of Customer Satisfaction and Customer Loyalty (Case Study of Café Grind & Pull Makassar)","authors":"Miah Said, Piter Tiong","doi":"10.22161/ijaers.101.15","DOIUrl":"https://doi.org/10.22161/ijaers.101.15","url":null,"abstract":"The lifestyle of drinking coffee is currently becoming a trend among people in the millennial era. This is the reason for the growth of the domestic coffee shop industry.The purpose of this study was to determine the effect of service quality, price on customer satisfaction and customer loyalty. In addition to testing the effect of customer satisfaction on customer loyalty and testing the role of customer satisfaction in mediating the effect of service quality, price (price) on customer loyalty. This study uses a quantitative approach with an explanatory method, namely in the research being conducted is to explain the symptoms that arise in a research subject. The data analysis technique of this study used Amos' SEM, where the findings of this study were that service quality and price had a positive and significant effect on customer satisfaction and customer loyalty at Grind & Pull, Makassar.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77176881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revolutionizing Student Engagement: Artificial Intelligence’s Impact on Specialized Learning Motivation","authors":"Samreen Rizvi","doi":"10.22161/ijaers.109.4","DOIUrl":"https://doi.org/10.22161/ijaers.109.4","url":null,"abstract":"The achievement of specialist formation necessitates students to be highly determined in order to take part actively in the learning and honing of skills. This article investigates how Artificial Intelligence (AI) can help increase student commitment during their preparation for a specialized field. It is proposed that AI-powered technologies such as virtual assistants, intelligent tutoring systems, and algorithms are able to provide personalized feedbacks, adaptable evaluations, and individualized curriculums which address each learner's particular needs and preferences1. The paper surveys empirical studies as well as theoretical frameworks which present evidence on the advantageous effects of AI on motivation among students including autonomy, competency, and relatedness along with other factors. Moreover; it also delves into possible ethical issues associated with utilizing AI to boost student enthusiasm like data security or algorithmic bias – both must be taken into account carefully so that its integration into education can be done responsibly yet fruitfully. In conclusion; this abstract highlights the necessity for additional research alongside partnership between educators/ researchers/ developers who use AI technology if we want to make full use out of it while stimulating motivation amongst learners thus enabling successful realization of specialist formation objectives.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135651026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elements of a New Rhetoric in Foucault’s Work","authors":"Alex Pereira de Araújo","doi":"10.22161/ijaers.1011.1","DOIUrl":"https://doi.org/10.22161/ijaers.1011.1","url":null,"abstract":"The principal objective of this study is to present and discuss the elements that emerge from Michel Foucault's archeological undertakings, which, in our view, configure the existence of a new rhetoric that deals with what the French philosopher called the rarefaction of the subject and rarefaction of discourse in his inaugural lecture at the Collège de France (Foucault, 1996). This new rhetoric would be in charge of reflecting and analyzing the phenomena that result from both the rarefaction of the subject and the rarefaction of discourse, that is, such rhetoric invests in what is responsible for imposing on the speaking subject what to say and how to say it. Therefore, it turns to certain mechanisms of control of discourses that Foucault presented in The Discourse on Language, a work that completes five decades of its publication. This Foucauldian rhetoric also has as its main function to deal with the history of the present, that is, to reflect on what we do and think at this exact moment, which, in turn, would be in charge of contributing to the history of how we became subjects in a culture like ours, at this stage of high modernity and the Information Age. From this perspective, she would be interested in the processes of identification and subjectivation that result from the ways in which we become subjects. In short, it is a study that seeks to present elements that demonstrate the emergence of a new rhetoric that emerges from the work of Michel Foucault, who, according to Deleuze (1992), increasingly invested in a generalized pragmatics.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135447207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effects of the Covid-19 Pandemic on the Mental Health of Children with Attention Deficit and Hyperactivity Disorder","authors":"Lays Bezerra Madeiro, Mylena Laura dos Santos Pereira, Júlia Maria das Neves Carvalho, Thamirys Cavalcanti Cordeiro dos Santos, Lucas Rogério Lessa Leite Silva, Arlete Bulhões Cavalcanti Madeiro de Oliveira, Luana de Almeida Paiva Lima Marinho, Maria Sofia Acioli Barros, Beatriz Lins Pereira, R. Vital, Laercio P Fachin","doi":"10.22161/ijaers.105.12","DOIUrl":"https://doi.org/10.22161/ijaers.105.12","url":null,"abstract":"Introduction: Countless changes were necessary to overcome the coronavirus pandemic (SARS-CoV-19) since its dissemination. Measures such as physical and social distancing, constant antisepsis surveillance, urgency in checking tasks and the possibility of imminent infection were the pillars of this virus control strategy, and as a consequence, the impacts on the psychosocial development among children and adults teenagers. Psychopathological symptoms found in post-traumatic stress, anxiety and depression disorders have become predominant, with such losses being even more reinforced among children with attention deficit hyperactivity disorder (ADHD). Objective: To analyze behavioral changes among children and adolescents previously diagnosed with ADHD, during the COVID-19 pandemic, in a multidisciplinary children's clinic in the city of Maceió, in Alagoas, Brazil. METHODOLOGY: This is a prospective cohort descriptive quantitative research, carried out in a population of 40 participants, with a sample of 35 responses from parents or legal guardians of children with ADHD. Two questionnaires were carried out to assess anxiety, depression and sleep parameters, one during the quarantine period and the other after the restrictive measures of social isolation. Results: The sample had a higher prevalence among male children, with 74.3%. Of the new behaviors presented daily during the period of social distancing, irritability prevailed with 62.9%, followed by agitation, with 42.9%. In the post-quarantine period, the daily presence of these symptoms dropped to 14.3% and 17.1%, respectively. As for the reported feelings, sadness represented 45.7% of the sample, with a frequency of 1 to 2 times a week, during the quarantine period. After the return of face-to-face activities, there was an increase to 48.6%. Regarding sleep, at the peak of the pandemic, 54.3% of children showed anxiety and objection behavior at bedtime and 31.4% stated initial insomnia “every day”. With the end of social restriction, only 4% reported difficulty sleeping. Conclusion: The effects of the pandemic are perceived even more sensitively among children with ADHD. The work gathered scientific knowledge about mental health and emergency care for these children. Therefore, immediate efforts must be employed, at all levels and in the most diverse areas of knowledge, in order to minimize even more negative results in the mental health of children with ADHD in the face of the COVID-19 pandemic.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72866758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facing dengue and malaria as a public health challenge in Brazil","authors":"Wuelison Lelis de Oliveira, Pâmella Polastry Braga Amaral, Jessíca Reco Cruz, Robcharles Rodrigues de Oliveira, Laís Rayane Soares de Freitas, Thainara Bento Deziderio, Maria Eduarda Santos Patez, Claudinei Crescencio De Barros, Alexandre Andreatta Felle, Patrícia Bahia da Silva, Valéria Aparecida dos Anjos, Karolaine Santos de Oliveira, Vívian Gonçalves Bernardes","doi":"10.22161/ijaers.107.1","DOIUrl":"https://doi.org/10.22161/ijaers.107.1","url":null,"abstract":"The present study seeks to analyze through the literature the main challenges in facing dengue and malaria in Brazil. This is an integrative literature review, which presented a synthesis of the results obtained through published literature research as an argument for the results obtained. The occurrence of malaria in Brazil, especially in the states of Amazonas and Pará, is due to the context of occupation of the region, from the 1970s, triggering an increase in the migratory flow of the region and consequently, disorderly urban expansion. Dengue is considered an urban disease because of the ease with which the mosquito can reproduce and transmit the infection to humans. It is necessary to expand the efforts and public policies already in place to control vectors, in addition to improving the conditions of the determinants and conditioning factors of health, such as infrastructure for waste collection and disposal and basic sanitation.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77295981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of Geological and Geophysical Data, Onshore Field of Potiguar basin, northeastern Brazil","authors":"J. B. Siqueira, Thaiane Kamila Alves Roberto","doi":"10.22161/ijaers.103.12","DOIUrl":"https://doi.org/10.22161/ijaers.103.12","url":null,"abstract":"This work presents the results of 3D Geological Modeling with a focus on the onshore field, in the context of the Potiguar Basin. Therefore, the object of study is the silisiclastic reservoirs of the Açu Formation, unit 3, which correspond to the Albian/Cenomanian fluvial sandstones, in which hydrocarbon accumulations are housed. In this way, a better understanding of the reservoirs of a part of the field was sought through the integration of geological and geophysical information in the Leapfrog software. Where the gamma rays (GR), density (ROHB) and neutron porosity (NPHI) profiles were used to identify regions of reservoir rocks and sealants or non-reservoir. And the microresistivity profiles (MSFL), to determine the water saturation in the formation, and from that the oil saturation in the respective intervals. Through modeling, it was found that the highest relative oil saturation is accumulated in the upper portion of the sequence, in reservoir R1, where the average is 45%. In reservoir R2, intermediate, the average is 30% and in reservoir R3, in the lower part, 38%. And a total volume of hydrocarbons of the order of 1.17 MM3 was estimated for the three reservoirs. From this integration, despite the stage of production categorizing the field as mature, it appears that there are still significant volumes to be exploited.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81467859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Humanization in Undergraduate Medical Education: The Brazilian Learner’s Perspective","authors":"Vera Lúcia Lameira Picanço, Gabriela de Barros Melo, Guilherme Alves da Silva, Marcos Alberto Figarella De Oliveira, Edilene da Silva e Silva, Juliana dos Santos Tartáglia, Gabriela de Lyra Sousa, Danielle Lima Barbosa, Marcela Magno Miranda Bezerra, Igor Florenzano Wanzeler, Dienyelle de Nazaré Costa Barbosa, Carolynne Lima de Sousa, Larysse Moura Moreira, M. A. Pinheiro, Gabriela Mutran dos Anjos, Samuel João dos Santos Santana, Felipe de Paula, Camylla Rebbeca Bezerra de Aragão, Gabriel Carvalho de Oliveira, Matheus Albert de Souza Puerro, Aysha Nayane Lisboa Franco, Anna Beatryz Lira da Silva, A. L. N. E. Nobre, I. B. Mansour, Heloisa Pamplona Boulhosa, Luíza Pinheiro Nascimento, Edilson Pamplona Boulhosa, Camila Sisnando Faustino, Patricia Benitez Sousa, Adrianne Raposo Ponte, Renan Reno Martins, Luciana Saliba Mohana Alencar, Danielle Moura Nunes, Mariana Abucater Couto, Joao Costa, Paulo Matheus Sherring e Sousa, Gabriela Blanco de Morais Trindade, J. Cardoso, Renata Barros de Lira, I. Pereira, Bre","doi":"10.22161/ijaers.103.8","DOIUrl":"https://doi.org/10.22161/ijaers.103.8","url":null,"abstract":"The production of humanized health should consider the individual as a whole, taking into account their particularities and perspectives, in order to promote care with ethical, humanistic and clinical quality. The objective of this study is to evaluate, from the perspective of medical students, their perceptions and knowledge regarding humanistic training during medical school. This is a quantitative and qualitative exploratory research in the strict methodological sense of keeping the focus, the object of study, which was made with the students of the Medicine course from the second to the tenth periods of UNIFAMAZ, enrolled in the first semester of 2019. As an instrument of data collection, the structured questionnaire was used, and data obtained transcribed into LibreOffice®, elaborating the corpus for data processing. IRAMUTEQ was used for processing the text corpus. Regarding the absolute frequency of the words within the text corpus, evidence was obtained of the main terms: Patient (frequency of 86), doctor (frequency of 70), care (frequency of 44), empathy (frequency of 48), professional ( frequency of 34), important( frequency of 35), human (frequency of 33), humanized (frequency of 25), relationship (frequency of 17), physical (frequency of 17), health (frequency of 25), treat (frequency of 15), treatment (frequency of 12), In most of the questionnaires these words considered high frequency, were exposed by the students, correlated with the true meaning for him of a good humanized care. In short, the insertion of the teaching of humanized medicine in the undergraduate course exerts on the student and future professional a reflective, motivational and conductive power about the subsequent medical practices.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82943200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing cybersecurity: The power of artificial intelligence in threat detection and prevention","authors":"Mohammed Rizvi","doi":"10.22161/ijaers.105.8","DOIUrl":"https://doi.org/10.22161/ijaers.105.8","url":null,"abstract":"Due to its ability to evaluate security threats in real-time and take appropriate action, artificial intelligence has emerged as a key component of cyber security. AI now has a bigger impact on spotting and stopping attacks that keep businesses on the cutting edge. Threat detection and prevention are the main focus of AI's role in cybersecurity. Artificial intelligence can detect trends and anomalies in network traffic and user behavior that may indicate a potential cyberattack through the use of machine learning algorithms and advanced data analysis. This allows security personnel to respond to potential attacks quickly and proactively. Through predictive modeling, AI can be used to prevent attacks. AI also can recognize potential threats before they occur and take action to avoid them by assessing past attacks and detecting similarities. Creating automated incident response systems is another important function of artificial intelligence in cybersecurity. These systems can evaluate data, identify potential risks, and then work to contain or mitigate the attack, minimizing damage and disruption. Businesses must employ artificial intelligence in cybersecurity to protect their networks and sensitive data from ever changing online threats. Because of its ability to analyze vast volumes of data in real time and automate incident response, AI is swiftly becoming into a key tool for efficient cybersecurity in today's digital environment. In this paper, we will discuss the role of AI in cybersecurity including its uses in threat detection and prevention.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90365507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convolutional Neural Network (CNN) Applied to the Risk Analysis of Accidents in Vessels Navigating the Amazon Rivers","authors":"Ariel Victor do Nascimento, Carolina Costa Ramos, João Antonio Brazão Pantoja, Marcus Rocha, Valcir João Farias da Cunha, M. Neto, Lucelia Marques Lima da Rocha, André Vinicius da Costa Araujo, Juliana Paula Souza Aires","doi":"10.22161/ijaers.102.6","DOIUrl":"https://doi.org/10.22161/ijaers.102.6","url":null,"abstract":"There are many rules to be followed to assess the safety of navigation, the certifiers and classifiers are responsible for ensuring compliance with all these rules that ensure the integrity of the vessels, however, this is not enough. The Naval District, in which the state of Pará is included, was the first in accidents that occurred in the year 2020 and the third in the year 2021. Due to these accident occurrences, concepts of artificial intelligence, machine learning and deep learning were applied in this area. Aiming to assist in this process, this work proposes to develop an application using Convolutional Neural Network (CNN) for image recognition (Vessels and plimsoll disk). In this sense, a Convolutional Neural Network (CNN) learning technique was used to identify the type of ship through a bank of supplied images, the same method was applied to identify if there is accident risk with the ship through the analysis of plimsoll disk images. To perform the training of the CNNs, six different network architectures were evaluated with: changing the number of filters in each convolutional layer; varying the amount of convolutional layers and; using transfer learning of the VGG-16 network with the fine tuning technique. The results achieved in this work are promising and demonstrate the feasibility of employing Convolutional Neural Network as a method for identifying the images of vessels as from the plimsoll disk).","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84691059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}