bluuebunny/crossref_metadata_2025 huggingface dataset:
Os benefícios do treinamento de força em crianças que praticam futebol e futsal
Authors: Miranda Melo Bryan de , Pereira Evranilson dos Santos , Pinto Aluísio Avelino
Published: December 2023

O futebol é essencial para preparar uma criança ou adolescente a ter uma vida física saudável e observa-se um desenvolvimento motor considerável que acelera a maturação devido a uma exposição significativa as demandas que ele exige. Com isso trabalhar em cima dessas habilidades traz melhorias para o desenvolvimento da criança no esporte. Diante disso, esta pesquisa tem por objetivo apresentar os benefícios do treinamento de força em crianças que praticam futebol e futsal. O presente estudo é uma revisão bibliográfica, feita através de uma abordagem sistemática e exploratória com o seguinte tema: Efeitos do treinamento de força em crianças no futebol e futsal. Após a leitura do resumo e aplicação dos critérios de inclusão e exclusão restaram 14 artigos. A amostra final do número de materiais após a realização da leitura do texto na íntegra aplicação dos critérios de exclusão, somaram 07 artigos. Nossos resultados sugerem que o treinamento de potência e de força melhoram as habilidades de crianças jogadoras de futebol e futsal. O treinamento de potência, força e pliométrico, além de serem seguros, são uma ótima opção para melhorar as habilidades de crianças jogadoras de futebol e futsal. No entanto, é evidente a necessidade de mais pesquisas e estudos sobre o treinamento físico e de força no futebol e futsal, tendo em vista ser uma prática mundialmente reconhecida se torna necessário abranger para outros meios como aprofundamento em exercícios de sprints, saltos e agilidades no futebol.
Manejo clínico sob uma ótica inovadora: Explorando novas abordagens na prescrição farmacêutica
Authors: Sousa Adriano da Silva , Veloso Willian Fraga , Marquez Carolinne Oliveira
Published: December 2023

No âmbito de competência dos farmacêuticos a prescrição favorece a eficácia clínica no cuidado direto ao paciente, com o intuito de contribuir para a melhoria da atenção à saúde, proporcionando acesso mais seguro e eficiente aos medicamentos, otimizando o uso das habilidades dos profissionais de saúde. Este estudo de revisão de literatura, portanto, objetivou descrever a importância da prescrição farmacêutica como uma nova ferramenta de manejo clínico favorecendo dessa forma o uso racional dos medicamentos. Uma revisão de literatura foi realizada, sendo incluídos estudos conduzidos no Brasil e no exterior, retrospectivos e prospectivos que abordassem sobre a prescrição farmacêutica e uso indiscriminado de medicamentos. Para isso, realizou-se investigação nas bases de dados MEDLINE, SciELO, LILACS e PUBMED resultando na seleção de 10 estudos. Diante dos resultados encontrados nos estudos mencionados é válido destacar que a prescrição farmacêutica além de ser amparada por lei (RDC 586/2013 – CFF), foi um divisor de águas na profissão farmacêutica. Os farmacêuticos geralmente ainda não estão familiarizados e preparados para exercer suas atribuições clínicas com afinco. As atividades de prescrição farmacêutica são regulamentadas em diversos países, entretanto permanecem desconhecidos para a maioria da população. Este estudo aponta alguns desafios envolvidos na prática da prescrição farmacêutica e seus achados podem ser úteis para sugerir caminhos para o fortalecimento da prática.
Use of splinting in traumatized primary teeth: A systematic review of case reports
Authors: França Shirlei Borges , Guimarães Ayla Kelle Araújo , Silva Jane dos Santos Oliveira da , Fernandez Matheus dos Santos , Araújo Jamille Alves
Published: December 2023

The aim of this study was to explore the use of splinting in the management of traumatized primary dentition in case reports published in the literature. Systematic searches were performed in the main health databases to identify case reports (a) with children presenting trauma in primary teeth, and (b) those that described any outcomes related to the use of splints in the management of traumatized primary teeth. The stages of study selection, data extraction and risk of bias analysis were performed. Descriptive data analysis was described. The reporting of information from this review was based on the PRISMA 2020 guidelines. Of the total number of studies initially found (n=246), eight were case reports. Outcomes of splint immobilization in primary teeth with luxation (intrusion, extrusion, and lateral displacement), intra-alveolar root fracture and/or alveolar fracture were reported. All case reports described splinting as a viable technique for immobilizing traumatized primary teeth, regardless of the type of traumatic dental injury (TDIs) and splinting technique used. Only case report verified the effectiveness of the splinting in the management of dentoalveolar trauma and demonstrated the clinical effectiveness of the contentive approach. Based on low evidence studies with a moderate risk of bias, it was observed that the use of splints for the management of alveolar bone fractures and intrusive root fractures, and in specific cases of teeth with lateral luxation, can bring additional benefits to the dento-alveolar health of traumatized primary teeth.
Possíveis riscos do uso de medicamentos para obesidade
Authors: Oliveira Naynara Martins , Pereira Joquebede Rodrigues
Published: December 2023

O aumento do uso de medicamentos para emagrecimento revela a busca por resultados rápidos trazendo consigo riscos significativos. Desde inibidores de apetite e de absorção de gordura, essas opções prometem eficácia imediata, mas frequentemente causam efeitos adversos como insônia, irritabilidade, aumento da pressão arterial e náuseas. Vários desses medicamentos são proibidos em diversos países devido aos problemas de saúde que podem causar, incluindo doenças cardíacas, depressão e até mesmo risco de morte. A pesquisa se baseia em 19 estudos bibliográficos criteriosamente selecionados, dentre 61 que foram analisados. Os resultados destacam os perigos associados aos medicamentos para emagrecimento, como sibutramina, femproporex, orlistate, fentermina, fenfluramina, dexfenfluramina, agonistas do receptor de GLP-1 (liraglutida, semaglutida) e a combinação de bupropiona com naltrexona. Assim, este estudo visa abordar sobre os perigos desses medicamentos, enfatizando a importância da informação detalhada ao paciente sobre riscos, benefícios, efeitos colaterais e uso fora das indicações promovendo desta forma uma compreensão mais holística da abordagem ao emagrecimento, destacando a necessidade de orientação profissional e escolhas saudáveis.
Alteração das doenças hemorrágicas resultante do déficit de um ou mais fatores de coagulação: Artigo de revisão
Authors: Andrade Ádamo Newton Marinho , Andrade Mariamália Newton , Teles Weber de Santana , Silva Max Cruz da
Published: December 2023

A hemofilia é uma alteração relativo aos genes, hemorrágica, e de herança recessiva, afetando somente membros do sexo masculino, procedentes de modificações nas unidades fundamental da hereditariedade, codificando os fatores VIII (hemofilia A) ou IX (hemofilia B) da coagulação, localizados no braço longo do cromossomo X contidas no plasma sanguíneo incumbida pela sequência complexa de reações químicas que resultam na formação de um coágulo de fibrina. O objetivo da perquirição foi argumentar a vasta referência que trata da presença de hemofilia face à abordagem diagnóstica, laboratorial, terapêutica e ambulatorial. Trata-se de uma revisão narrativa composta por 21 artigos, utilizaram-se os descritores "Hemofilia" e "Tratamento". Conclui-se que A Hemofilia do tipo A e B é uma doença que tem sido muito investigada no perpassar dos tempos, contudo envolve inúmeras contextualizações de alta complexidade que carecem serem ponderadas e as análises laboratoriais utilizados para a investigação e acompanhamento da hemofilia, promove conjecturas limitadas haja visto as complicações de quantificação de níveis baixos de anticorpos.
Chronic diaphragmatic hernia and axial skeletal anomalies in a cat – Case report
Authors: Almeida Gustavo Luiz Gouvêa de , Almeida Marcelo Barbosa de , Santos Ana Carolina Mendes dos , Vargas Ângela , Ballot Sophie , Santos Liana Monteiro
Published: December 2023

Diaphragmatic hernia and congenital anomalies of the axial skeleton are alterations frequently identified in domestic cats. The objective of this case report was to present the electrocardiographic, radiographic, and tomographic findings observed in a 5-year-old neutered domestic shorthair cat, with skeletal malformations simultaneously with chronic diaphragmatic hernia. The cat lived well until he was 10-years old, when he developed progressive respiratory compromise leading to death. To our knowledge, occurrence of combined diaphragmatic hernia and congenital skeletal anomalies in domestic cats is very rare.
Uniformidade da irrigação por gotejamento com energia fotovoltaica autônoma utilizando rastreador solar
Authors: Berwanger Diego , Haupenthal Soni Willian , Siqueira Jair Antonio Cruz , Vilas Boas Marcio Antonio
Published: December 2023

Objetivou-se avaliar o desempenho de um sistema de irrigação por gotejamento, utilizando energia fotovoltaica autônoma. O experimento foi composto por um módulo fotovoltaico, diretamente conectado à bomba de água, com recalque conduzido a um sistema de irrigação formado por quatro tubos gotejadores instalados em uma bancada. Os ensaios foram realizados com o fornecimento de energia, utilizando o sistema fixo e de rastreamento solar, de modo que os dois tratamentos se caracterizam da seguinte maneira: T1- Fixo e Nível e T2 – Rastreamento e Nível. Os coletores foram posicionados para coleta da vazão às 9:00, 10:00, 11:00, 12:00, 13:00, 14:00, 15:00, 16:00 e 17:00 horas. No sistema de energia, foram medidos os parâmetros de tensão, corrente e irradiação; na irrigação, a vazão da água, e pressão de serviço inicial e final. Calculou-se os Coeficientes de Uniformidade de Distribuição (CUD) e Coeficiente de Uniformidade de Christiansen (CUC) além do gráfico de controle de Shewhart e o índice de capacidade do processo. Os resultados apresentaram maior estabilidade, quando da utilização do sistema de rastreamento, com CV de 65,28% e potência de 64,71W, para o sistema fixo, e CV de 16,31% com 142,40W com o sistema de rastreamento. Ambos os tratamentos superaram os 90%, na uniformidade, com o CUD atingindo valor mínimo necessário do índice de capacidade do processo para se manter em níveis de excelência. Portanto, a melhor geração de energia do sistema de rastreamento influenciou positivamente a irrigação, o que pode ser constatado principalmente nos gráficos de controle de Shewhart.
Morfologia craniana e influência na qualidade da amamentação e sucção de lactentes
Authors: Oliveira Gustavo Yudi Orikassa de , Schaefer Alessandro , Loth Eduardo Alexandre , Abramovecht Janaina , Ertel Julia Pasqualotto , Burgarelli Juliana Almeida , Vilagra José Mohamud
Published: December 2023

As malformações congênitas em suturas são alterações conhecidas como craniossinostoses, onde ocorre a união precoce de uma ou mais suturas cranianas, podendo levar a deformidades no crânio em diferentes graus e proporções. Para a mensuração das disfunções cranianas, a avaliação consiste por meio de um dispositivo, o craniômetro manual. O objetivo deste estudo é verificar se existe relação entre a morfologia craniana e a qualidade da amamentação de recém-nascidos na unidade materno infantil do Hospital Universitário do Oeste do Paraná. Foram avaliados recém-nascidos entre 24 e 48 horas, onde foi realizada entrevista com a mãe e posteriormente avaliação do LATCH e craniometria dos recém-nascidos, a fim de determinar a qualidade da amamentação e a morfologia craniana. Participaram do estudo 82 recém-nascidos, destes 51 foram excluídos. A amostra para o estudo foi de 31 recém-nascidos, sendo 18 (58,06%) do sexo masculino, com peso médio de 3,224kg e comprimento de 48,80cm. A média de idade das mães foram de 26 anos e a idade gestacional foi de 39 semanas. O tipo de parto predominante foi o cesariano com 19 (61,29%). Diante dos dados obtidos, conclui-se que independente do CVAI estar normal ou alterado e/ou o LATCH estar normal ou alterado, não há correlação de dependência com significância estatística e pode não haver correlação na alteração com a qualidade da amamentação e sucção em pacientes lactentes nas primeiras 24 a 48 horas de vida para este grupo específico.
O papel do Acompanhante Terapêutico (AT) dentro do ambiente escolar e seu suporte especializado: Apontamentos bibliográficos
Authors: Moreira Ana Beatriz Rocha , Silva Erica Santos , Oliveira Janderson Carneiro de
Published: December 2023

O papel do Acompanhante Terapêutico (AT) tem se tornado cada vez mais essencial diante do crescimento na taxa de crianças neurodiversas dentro do ambiente escolar, com o aumento do número de diagnóstico como Transtorno do Espectro Autista (TEA), Transtorno de Déficit de Atenção e Hiperatividade (TDAH), Transtorno Opositivo Desafiador (TOD), dentre outros. Nesse sentido, o presente estudo tem como objetivo geral analisar as publicações científicas brasileiras, entre 2013 e 2023, sobre o papel do acompanhante terapêutico (AT) dentro do ambiente escolar. Trata-se de uma pesquisa bibliográfica, cuja finalidade é possibilitar ao pesquisador um amplo acesso às informações, reunindo dados dispersos em uma gama de publicações e colaborando, para uma delimitação teórica-conceitual mais precisa do objeto de pesquisa. Foram feitas buscas nas bases de dados virtuais Scielo, PePsic e Lilacs, utilizando os seguintes descritores: acompanhante terapêutico, acompanhamento terapêutico escolar, inclusão escolar e crianças atípicas. Foi encontrado um total de 235 artigos e apenas 05 confluíram diretamente do objeto de estudo dessa pesquisa. O processo de categorização evidenciou três eixos temáticos: 1- Inclusão escolar das crianças neurodiversas; e 2- O papel do Acompanhante Terapêutico no contexto escolar. Foi percebido que a inclusão escolar de crianças atípicas é um objetivo a ser perseguido por todos os sistemas educacionais, criando ambientes educacionais que valorizem a diversidade, respeitem as diferenças individuais e garantam que todas as crianças tenham a oportunidade de desenvolver seu potencial máximo, participando plenamente da vida escolar e construindo um futuro mais inclusivo e humanizado.
FEATURES OF THE FORMATION OF LINGUISTIC SOCIO-CULTURAL COMPETENCE IN SPEAKING IN THE FOREIGN LANGUAGES LEARNING PROCESS
Authors: ASADCHYKH OKSANA , HIMAWAN PRABOWO , KINDZHYBALA OKSANA , BUROVSKA OLEKSANDRA , PERELOMA TETIANA
Published: December 2023

The article aims to examine the actual problem of modern methods of teaching foreign languages, reveals the relationship between the culture and the language of the people, the foundations of the formation of linguistic socio-cultural competence of students. A communicative approach guides the modern method of teaching foreign languages. Teaching foreign languages is to achieve by students a foreign language communicative competence: the ability and actual readiness of students to carry out foreign language communication and gain mutual understanding with native speakers of a foreign language.
PHILOSOPHICAL AND METHODOLOGICAL PRINCIPLES OF TEACHING JAPANESE LANGUAGE TO PHILOLOGY STUDENTS IN UKRAINIAN HIGHER EDUCATION INSTITUTIONS
Authors: BUGROV VOLODYMYR , ASADCHYKH OKSANA
Published: December 2023

The article describes an attempt to trace essential peculiarities of Japanese language within the context of non-Western (Japanese) concept of education, with the aim to analyze the possibilities of improving philosophical and methodological base of teaching Japanese language to philology students in Ukrainian universities. In particular, the system of Japanese language teaching standards (JF standard), developed by the Japan Foundation on the basis of the system used in European methods of teaching foreign languages, is described. The paper discusses strategies through which current JFL teaching and learning practices can be improved, to effectively form communicative and academic language competence of students.
INSTITUTIONALIZATION OF INFORMATION POLICY IN THE DIGITAL SPACE OF POST-WAR UKRAINE
Authors: ZAPOROZHETS TETIANA , HORNYK VOLODYMYR , BASHTANNYK OKSANA , PASICHNYI ROMAN , PUTINTSEV ANATOLII
Published: December 2023

The article examines the media environment and aspects of information policy in Ukraine in the digital space during a full-scale war and in the perspective of the institutionalization of information policy in the post-war landscape. The opportunities, risks, and role of digital citizen journalism in the institutionalization of information policy are outlined. It is shown that the field of information policy operates within a multifaceted institutional framework, exhibiting a wide range of meanings, applications, and implications. It is assumed that institutionalization of information policy in the digital space of post-war Ukraine should be carried out within “quadruple helix” model.
INNOVATIVE METHODS OF UPBRINGING PROCESS MANAGEMENT IN SECONDARY EDUCATION INSTITUTIONS (IN UKRAINIAN CONTEXT)
Authors: KHAMSKA NELINA , IVATS OKSANA , ZADOROZHNA LIUBOV , BALTREMUS VOLODYMYR , HURALNYK TETIANA
Published: December 2023

The authors substantiate the need for the development and application of modern scientific and theoretical approaches in education management, updating the principles, forms, and methods of management activities that correlate with the requirements of the New Ukrainian School. Scientific approaches (humanistic, competence-based, systemic, axiological, acmeological, environment-based), which define a set of research principles and methods, as well as design the conditions for the implementation of innovative methods of managing the education process, are identified as the leading ones within the scope of the study. Modeling of innovative methods of managing the educational process of a secondary education institution based on a functional approach was carried out. A complex of innovative management methods that ensure the implementation of functions diagnostic, prognostic, planning, organizational, control, pedagogical analysis, coordination and regulation is highlighted. It is proven that the management of the educational process will be effective if the use of innovative methods is considered as a subsystem that is consistent with the defined educational problem of the school, the selection of methods of influence, interaction, adequate to this problem, if it corresponds to the capabilities of the institution. The result of the empirical study shows that the rate of coordination of the actions of various educational institutions, the informal approach to conducting educational activities has significantly increased; motivation in the activities of class supervisors (emergence of interest in the original, creation of conditions for self-realization) increased; democratic relations deepened, the right to resolve issues, opportunities to become a leader of student self-government bodies improved.
BASIC PRINCIPLES OF MUSICAL PERFORMANCE LOGIC
Authors: SAPSOVYCH OLEKSANDRA , KAZNACHEIEVA TATIANA , XIAORAN XU , HAO PANG , XIAOZHEN QIU
Published: December 2023

The article examines musical performance logic as a type of artistic logic that has its own individual measure of the relationship between the rational, cognitive, and sensory. The relationship and interaction of emotional-imaginative and logical components of musical intelligence are analyzed. It is shown that the hermeneutic method is quite applicable to musical performance interpretation and logic as a method of revealing the plurality of meanings contained in the text.
Prediction of Sleep Disorders Based on Occupation and Lifestyle: Performance Comparison of Decision Tree, Random Forest, and Naïve Bayes Classifier
Authors: Lestiawan Heru , Jatmoko Cahaya , Agustina Feri , Sinaga Daurat , Erawan Lalang
Published: December 2023

Health is a very important thing in life. Therefore, to maintain health, we need adequate rest. Without adequate rest, the body will not be healthy and fit. In this study, a person's sleep disorder prediction will be made based on their lifestyle and work. The predictions made will classify sleep disorders that are absent, sleep apnea and insomnia from certain lifestyles and work. The methods used to make predictions are decision tree classifier, random forest classifier and naïve Bayes classifier. The test was carried out using a total of 375 data which was broken down into 70% training data and 30% testing data. The results obtained after testing with test data are by using the decision tree classifier algorithm to get an accuracy of 89.431%, using the random forest classifier algorithm to get an accuracy of 90.244% and by using the naïve Bayes classifier algorithm to get an accuracy of 86.992%.
Conditional Matting For Post-Segmentation Refinement Segment Anything Model
Authors: Susanto Al Birr Karim , Soeleman Moch Arief , Budiman Fikri
Published: December 2023

Segment Anything Model (SAM) is a model capable of performing object segmentation in images without requiring any additional training. Although the segmentation produced by SAM lacks high precision, this model holds interesting potential for more accurate segmentation tasks. In this study, we propose a Post-Processing method called Conditional Matting 4 (CM4) to enhance high-precision object segmentation, including prominent, occluded, and complex boundary objects in the segmentation results from SAM. The proposed CM4 Post-Processing method incorporates the use of morphological operations, DistilBERT, InSPyReNet, Grounding DINO, and ViTMatte. We combine these methods to improve the object segmentation produced by SAM. Evaluation is conducted using metrics such as IoU, SAD, MAD, Grad, and Conn. The results of this study show that the proposed CM4 Post-Processing method successfully improves object segmentation with a SAD evaluation score of 20.42 (a 27% improvement from the previous study) and an MSE evaluation score of 21.64 (a 45% improvement from the previous study) compared to the previous research on the AIM-500 dataset. The significant improvement in evaluation scores demonstrates the enhanced capability of CM4 in achieving high precision and overcoming the limitations of the initial segmentation produced by SAM. The contribution of this research lies in the development of an effective CM4 Post-Processing method for enhancing object segmentation in images with high precision. This method holds potential for various computer vision applications that require accurate and detailed object segmentation.
Identification of Organic and Non-Organic Waste with Computer Image Recognition using Convolutionalneural Network with Efficient-Net-B0 Architecture
Authors: Sutomo Heny Indriani
Published: December 2023

This study aims to develop a method for identifying organic and non-organic waste using a computer image recognition technique based on Convolutional Neural Network (CNN) with Efficient-Net-B0 architecture. Efficient and accurate waste identification is important in sustainable waste management. The primary goal of this research is to distinguish between organic and non-organic waste in images. Manually labeling waste images as organic or non-organic can be a time-consuming and error-prone task. Configuring and fine-tuning the EfficientNet-B0 architecture and CNN parameters for optimal performance can be a complex and iterative process. Hyperparameter tuning may be needed. Ensuring accurate labels is essential for training a reliable model. The choice of using the Convolutional Neural Network (CNN) with the EfficientNet-B0 architecture is a crucial part of the solution. EfficientNet-B0 is known for its balance between accuracy and computational efficiency. The use of CNNs and EfficientNet-B0 for this task indicates the system's ability to discern visual differences between the two waste types. The method proposed in this study utilizes CNN's ability to study important features of waste images to recognize various types of waste. This research includes the waste data collection stage which includes organic and non-organic waste in the form of 2D images. To evaluate the performance of the proposed method, a test was carried out using a waste dataset taken from a predetermined environment. The test results show that the proposed method is able to identify organic and non-organic waste with a high degree of accuracy. In test scenarios, this method achieves an accuracy of 98%, which demonstrates its ability to effectively identify the type of waste. Through the use of CNN-based computer image recognition techniques with the Efficient-Net-B0 architecture, this research succeeded in solving the problem of identifying organic and non-organic waste automatically and accurately. The proposed method has the potential to be applied in more efficient waste management systems, helps minimize human identification errors, and makes a positive contribution to environmental protection efforts. This research is expected to be the basis for further development in the introduction and management of waste in a sustainable manner.
Implementation Chatbot on Discord for Information Assistance and Conflict Prevention
Authors: Pratama Zudha , Mintorini Ery , Karmila Karmila , Hermanto Didik
Published: December 2023

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.
Film Review Sentiment Analysis: Comparison of Logistic Regression and Support Vector Classification Performance Based on TF-IDF
Authors: Ramdan Dadan Saepul , Apnena Riri Damayanti , Sugianto Castaka Agus
Published: December 2023

Film sentiment analysis is a process for evaluating a sentiment value that exists in film reviews, so that positive or negative responses from films can be identified. In this study, a sentiment analysis will be carried out on film reviews on IMBD. The analysis was carried out to find out which reviews were positive and negative from film critics. The method used to carry out sentiment analysis in this study is review analysis and processing with TF-IDF and a positive or negative prediction process based on reviews that have been processed using a logistic regression algorithm and support vector classification. The data to be used is film reviews on IMBD, which consists of 2000 data, which is divided into 1000 positive data and 1000 negative data. Which is where the data will be preprocessed first and split with a percentage of 70% training data and 30% testing data. In the prediction process using the logistic regression algorithm, obtaining a test accuracy of 80.61%. While the prediction process using the support vector classification algorithm obtains a test accuracy of 82.42%.
Application of PSO in CNN attribute weighting for banana tree classification based on leaf images
Authors: Novichasari Suamanda Ika , Nata Imam Adi
Published: December 2023

Banana (Musa paradisiaca) is a very popular fruit in Indonesia. Banana production in Indonesia, with more than 200 types of bananas, accounts for more than 50% of banana production in Asia. Differences in how to consume Ambon bananas and Kepok bananas and their various benefits encourage cultivators to be careful in choosing seeds to avoid mistakes. Distinguishing the seeds of Ambon bananas and kepok bananas is more difficult than distinguishing between Ambon bananas and kepok bananas. This is because the leaves and stems of the seeds look the same. The purpose of this study is to use an optimization algorithm to improve the performance of the image classification algorithm on the image of kepok banana leaves and Ambon bananas to assist in the selection of banana plant seeds that can be used by banana cultivators to get the maximum benefit according to the desired type of banana. The results of this study are used as the basis for making a decision support system to assist in the selection of banana plant seeds that can be used by banana cultivators in order to get the maximum benefit according to the desired type of banana
Message Hiding Using the Least Significant Bit Method with Shifting Hill Cipher Security
Authors: Mahendra Syafrie Naufal , Budiman Fikri
Published: December 2023

Technological developments go hand in hand with advances in digital messaging. In protecting the confidentiality of the message, it is necessary to double secure the data. This security can be done with a combination of steganography and cryptographic techniques. Steganography algorithm which is a technique for hiding messages well, one of which is Least Significant Bit (LSB). The LSB algorithm is a simple method because it only converts the value of the last bit in a message with the inserted message bit, which is a convenience of the LSB algorithm, but it becomes vulnerable to message theft attacks if not combined with other algorithms for security. So it is necessary to increase security. This research developed a combination method of LSB algorithm for steganography technique with Hill Cipher algorithm for cryptographic technique, Hill Cipher was developed with shifting (shifting) 2 (two) characters. With the development of this method, hackers will find it difficult to crack messages, and is expected to improve the performance of the algorithm in affecting image quality and travel time in running the algorithm. The results of this study will be tested using several evaluation tools MSE, PSNR, BER, CER, AE, and Entropy. With the development of this method, hackers will find it difficult to decipher messages, and from the results of this experiment has been able to improve the performance of the algorithm in maintaining image quality and can shorten travel time in running the algorithm.
A Comparative study of Transfer Learning CNN for Flower Type Classification
Authors: Sumpena Jaya
Published: December 2023

Flowers are plants that had many types and often found around. But because the many types of flowers, sometimes difficult to distinguish the type from one flower to another. Therefore, in this study, will discuse about the process of identification and classification of flower types, namely daisy, dandelion, rose, sunflower and tulip. The data that would used in this research is image data that consisting of 764 daisy images, 1052 dandelion images, 784 rose images, 733 sunflower images and 984 tulip images. From the total images used, would be divided again into 60% training data, 30% testing data and 10% validation data that would been used to train and evaluate the CNN model. In this study, the classification process would using transfer learning CNN method using the DenseNet and NasNetLarge architectures, which later from these two architectures would compare to find which architecture is best for classifying flower types. The results that obtained after testing in this study are in the flower classification process using the DenseNet architecture to get a test accuracy of 89% and using the NasLargeNet architecture to get a test accuracy of 86%.
Enhancing Augmentation-Based Resnet50 for Car Brand Classification
Authors: Sugiarto Triga Agus , Soeleman Moch Arief , Pujiono Pujiono
Published: December 2023

This research focuses on car classification and the use of the ResNet-50 neural network architecture to improve the accuracy and reliability of car detection systems. Indonesia, as one of the countries with high daily mobility, has a majority of the population using cars as the main mode of transportation. Along with the increasing use of cars in Indonesia, many automotive industries have built factories in this country, so the cars used are either local or imported. The importance of car classification in traffic management is a major concern, and vehicle make and model recognition plays an important role in traffic monitoring. This study uses the Vehicle images dataset which contains high-resolution images of cars taken from the highway with varying viewing angles and frame rates. This data is used to analyze the best- selling car brands and build car classifications based on output or categories that consumers are interested in. Digital image processing methods, machine learning, and artificial neural networks are used in the development of automatic and real-time car detection systems.The ResNet-50 architecture was chosen because of its ability to overcome performance degradation problems and study complex and abstract features from car images. Residual blocks in the ResNet architecture allow a direct flow of information from the input layer to the output layer, overcoming the performance degradation problem common in neural networks. In this paper, we explain the basic concepts of ResNet-50 in car detection and popular techniques such as optimization, augmentation, and learning rate to improve performance and accuracy. in this study, it is proved that ResNet has a fairly high accuracy of 95%, 92% precision, 93% recall, and 92% F1-Score.
Optimization Water Conservation Through IoT Sensor Implementation At Smartneasy Nusantara
Authors: Abdurrafi Alfin , Maulana Donny , Kurniadi Nanang Tedi
Published: December 2023

The use of IoT sensors in technology is a fascinating research subject due to the possibility of real-time monitoring of water usage and temperature effects. Developing tools and systems that make observations of water usage through Max6675 sensors can optimize data collection and processing through remote monitoring. Utilizing the IoT technique, the ESP8266 WeMOS D1 R2 microcontroller and the Max6675 temperature sensor are utilized to regulate the water pump via a relay. This approach enhances water sustainability for plant assumptions based on the predetermined temperature. The device activates the water pump when the temperature surpasses the standard level at the observation site. The outcome indicated that this device operates accordingly with a 100% success rate. The device was determined to function effectively by activating the water pump based on temperature. Additionally, it can provide real-time monitoring data and process sensor data for analysis.
Covid-19 Classification using Convolutional Neural Networks Based on Adam, RMSP, and SGD Optimalization
Authors: Hidajat Moch Sjamsul , Wibowo Dibyo Adi
Published: December 2023

In this comprehensive study, a meticulous analysis of the application of Convolutional Neural Network (CNN) methodologies in the classification of Covid-19 and non-Covid-19 cases was conducted. Leveraging diverse optimization techniques such as RMS, SGD, and Adam, the research systematically evaluated the performance of the CNN model in accurately discerning intricate patterns and distinct features associated with Covid-19 pathology. the implementation of the RMS and Adam optimization methods resulted in the highest accuracy levels, with both models achieving an impressive 98% accuracy in the classification of Covid-19 and non-Covid-19 cases. Leveraging the robust capabilities of these optimization techniques, the study successfully demonstrated the effectiveness of the RMS and Adam models in enhancing the precision and reliability of the Convolutional Neural Network (CNN) for the accurate identification and differentiation of Covid-19 patterns within the medical imaging datasets. The notable achievement of 98% accuracy further emphasizes the potential of these optimization methods in advancing the capabilities of CNN-based diagnostic tools, thus contributing significantly to the ongoing efforts in Covid-19 diagnosis and management.
PREDICTION OF THE MAXIMUM LEVEL OF TANGENT STRESSES IN THE ASPHALT CONCRETE SURFACE LAYING ON THE CONCRETE BASE OF A MOTOR ROAD
Authors:   National Transport University, Onyshchenko Artur , Soloviov Ihor ,   National Transport University, Khudolii Serhiy ,   National Transport University, Fedorenko Oleh ,   National Transport University
Published: December 2023

In this paper, in order to evaluate the tangential stress levels in the asphalt concrete coating arranged on concrete foundation, finite element modeling of various constructions of road clothing with different values of the thickness of the asphalt layer and its modulus of elasticity, was carried out. The thickness of the asphalt layer varied from 5 cm to 30 cm with a step of 5 cm. The modulus of elasticity of asphalt ranges from 3000 MPa to 9000 MPa. In addition, the position of the transport load in relation to the deformation joint between the slabs of the concrete base varied for different versions of the structures. Calculations using the finite element method show that in this case τxz is the largest tangent component of the stress tensor. Among the different load positions, the option was chosen in which the tangential stress τxz in asphalt reaches a maximum in terms of modulus. Based on the maximum tangential stress values in the asphalt calculated in this way, a surface plot of the function τmax is obtained, which depends on two variables h and E. From the appearance of this surface, it can be seen that τmax increases with decreasing asphalt coating thickness and depends almost linearly on its elastic modulus. For this surface, an approximating function is proposed, with the help of which the level of maximum tangential stresses in the asphalt layer above the expansion joint can be approximately estimated for structures with intermediate values of h (cm) and E (MPa). Based on this surface level diagram, the design parameters of road clothing can be chosen such that the maximum tangential stress level in it is lower than the allowable value.
THERMO-MECHANICAL SIMILARITY IN THE EXPERIMENTAL AND THEORETICAL MODELING OF THE THERMAL RESISTANCE OF ROAD MATERIALS AND STRUCTURES
Authors:   National Transport University, Shlyun Nataliia
Published: December 2023

Experimental or theoretical modeling of the thermal strength of road materials and structures is usually associated with replacing the study of the effect we are interested in nature (prototype) with the analysis of the solutions of the corresponding mathematical equations or with the consideration of a similar phenomenon on a smaller or larger scale experimental model in special laboratory or experimental conditions with full or partial observance of the correspondence between the physical properties of the objects of nature and the model. The main content of modeling is that, based on the results of mathematical or experimental experiments, it is possible to draw conclusions about the behavior of the system in natural conditions. As a rule, modeling is based on consideration of geometrically or physically similar deformation phenomena of structures. At the same time, it is considered that two bodies are geometrically similar, if the ratio of all corresponding lengths is the same, that is, equal to the coefficient of similarity or scale. Two phenomena are physically similar if the given characteristics of one of them can be used to determine the characteristics of the other with the transition from one system of units to another. As a result of establishing a system of parameters defining a selected class of phenomena, conditions for the similarity of two phenomena can be established. The task of determining similarity conditions for road materials and structures becomes more complicated when they are operated in conditions of variable temperatures, and the number of parameters for which it is necessary to calculate scale factors increases. In this work, they are determined on the basis of the theory of thermoelasticity for geometric characteristics, elasticity parameters (Young's modulus, Poisson's ratio), thermal parameters (linear thermal expansion coefficient, thermal conductivity coefficient). Similarity conditions are defined for the thermal displacement, thermal stress, and temperature functions. Concrete examples also show that methods of similarity theory can be a tool for solving applied problems.
STUDY OF THE PECULIARITIES OF THE ASSESSMENT OF PROPERTY DAMAGED AS A CONSEQUENCE OF MILITARY ACTIONS, ON THE EXAMPLE OF RESIDENTIAL REAL ESTATE IN MAKARIV VILLAGE OF KYIV REGION
Authors:   National Transport University, Davydenko Mykhailo , Kozarchuk Ihor ,   National Transport University, Nevinhlovskyi Vadym ,   National Transport University
Published: December 2023

The article analyzes statistics and main types of destruction of real estate as a result of the armed aggression of the Russian Federation on the example of residential buildings in Makariv village, Kyiv region. The methodology of determining the degrees of destruction and the approximate assessment of total damages was studied. The key provisions of the draft "Methods for determining damage..." of the State Property Fund of Ukraine are given. The peculiarities of the evaluation of real estate damaged as a result of hostilities were determined. Recommendations and proposals for improving the evaluation procedure in such conditions were developed. A conclusion was drawn on the expediency of using drones and gradation on the degree of destruction and the size of the object for the preliminary assessment of total losses. The exact value of individual real estate objects should be determined using a cost approach based on the cost of replacement (recreation).
ANALYSIS OF THE STRESS-STRAIN STATE OF THE JOINT OPERATION OF THE SPAN STRUCTURE OF THE BRIDGE AND THE CEMENT-CONCRETE COATING OF THE CARRIAGEWAY, TAKING INTO ACCOUNT LONG-TERM PROCESSES
Authors:   National Transport University, Snytko Valerii
Published: December 2023

Introduction. The statement of the problem, the relevance of the chosen topic, an analysis of the latest research, and the purpose and tasks of the work are outlined. Taking into account the effect of shrinkage and creep of concrete nowadays is a mandatory component calculation of reinforced concrete bridge structures. In prestressed structures, the main part prestressing losses are losses caused by shrinkage and creep of concrete. According to the current norms [1], in prestressed reinforced concrete structures of bridges, losses from concrete creep are taken into account only from the action of prestressing forces. In fact, the creep of concrete should be taken into account from the long-term action of the first and second part of the constant load and shrinkage of concrete. A methodology for determining the stress-strain state of a reinforced concrete beam of a span structure of a bridge, taking into account long-term processes, is proposed. The results. In the presentation main material of the study, a methodology for calculating the stress-strain state reinforced concrete beam span structure of the bridge is proposed, taking into account the shrinkage and creep of concrete. The formulas used to determine the stress in concrete and reinforcement at an arbitrary moment of time t are given. The results study operation temperature-unbroken reinforced concrete beam span structure of the road bridge according to the scheme 3x21.0 m, taking into account the long-term processes according to the given methodology, were analyzed. Conclusions. The proposed method of calculating the reinforced concrete beam span structure of the bridge taking into account the shrinkage and creep of concrete under the action of the bending moment M and the normal force N is based on the apparatus construction mechanics of elastic systems and can be used for the calculation of other building structures. The study work temperature-unbroken reinforced concrete span structure of the bridge made of i-like prestressed beams according to the 21.0+21.0+21.0 m scheme showed that the stress from the creep concrete from the action prestressing forces of the reinforcement in relation to the initial stresses are from 23% to 30%. The stress from concrete shrinkage in relation to the allowable calculated values was from 2% to 6.5%.
IMPROVING THE METHODOLOGY OF EXPERT SAFETY LEVEL ASSESSMENT OF ROAD TRAFFIC
Authors:   National Transport University, Melnichenko Oleksandr
Published: December 2023

The article is devoted to the improvement of the method of expert safety level assessment of road traffic. A general analysis of road safety assessment methods and techniques was performed. Proposed ways to improve the methodology of expert assessment of the level of road safety based on the use of a combination of statistical and proactive models. The object of research in the article is the process of assessing the level of road traffic safety in a specific area at a certain time. The purpose of the study is to improve the methodology of expert assessment of the level of road safety based on the analysis of foreign and domestic experience. The article provides a general analysis of road safety assessment methods and techniques. It has been established that the indicators of most of the developed methods and techniques for assessing the level of security are based on one of two methodological approaches - the use of statistical and reactive methods and models or proactive and prognostic methods and models. However, it was determined that the analyzed methods and techniques mostly do not establish the influence of external conditions, in particular, variable road factors when assessing the level of road safety. The author's approach is proposed - a method of expert evaluation of road traffic safety, which is based on the use of a combination of statistical and proactive models and takes into account the importance and priority of one or another means of passive anti-accident protection of road traffic. An algorithm for evaluating road traffic safety according to the developed methodology is proposed. The developed method of expert assessment of the level of road safety allows you to make informed management decisions regarding projects and programs on road safety due to the consideration of justified factors of influence and a relative reduction in the time for conducting an examination. It is proposed to combine the use of the developed methodology with the analysis of the established level of road traffic safety using the " bow-tie " or "petal" approach.