bluuebunny/crossref_metadata_2025 huggingface dataset:
Consumer Behavior on Buying Decision Sanitation Product in Jakarta, Tembagapura, and Bandar Lampung After the End of PPKM
Authors: Riyanto Rakhmat , Parengkuan Klaudia Anatasia , Edbert Andrew
Published: June 2023

As governments impose movement restrictions to reduce COVID-19 infections, many people experienced changes in daily lives. The utilization of hand sanitizers in public spaces has increased due to the COVID-19 pandemic. Eventually, On December 30, 2022, the Indonesian government ended PPKM – the Indonesian-specific COVID-19 restrictions. Through this paper, researchers determined changes in consumer behavior towards sanitation products, how they impacted consumption, and which product categories were affected after the end of PPKM in Jakarta, Tembagapura, and Bandar Lampung. Research participants were located in three cities with total survey participants were 406. Data was collected using the convenience sampling method and a questionnaire adopting the statement of Liu et al. (2021). In analyzing the collected data, several statistical techniques were used and SEM analysis used AMOS with a two-step process. The results of this study prove that there is no change in consumer behavior in buying sanitation products (M: and SD:) and from the beginning of the COVID-19 pandemic to the end of PPKM, cleanliness has become the most important need for comfort and health (M: and SD:). This research can be used to help hand sanitizer manufacturers to rescale their production capacities and will be useful for hand sanitizer and sanitation product manufacturers to prepare their long-term marketing strategy. However, this study only focuses on hand sanitizers, while tons of sanitation products can be covered. Furthermore, this research can be conducted in more than three cities in Indonesia so that the result will be more represent the general Indonesian population.

Keywords: Consumer Behavior, Purchase Decisions, Sanitation, The End of PPKM
Modelagem e simulação da produção de lipídios pela levedura rhodotorula mucilaginosa.
Authors:   , Rafael Barros Eliélson
Published: June 2023

Objetivou-se por meio do presente estudo realizar a modelagem e simulação para o processo de produção de lipídios utilizando a levedura Rhodotorula mucilaginosa. Considerou-se a produção a partir da fração líquida remanescente do processamento das raízes(conhecida popularmente como manipueira) da mandioca (Manihotesculenta Crantz). As simulações foram realizadas mediante um planejamento composto central (22), sendo as variáveis independentes as concentrações iniciais de células (X0) e de substrato (S0) durante 120 horas. O método de Runge-Kutta de quarta ordem também foi utilizado para a resolução das equações diferenciais durante a simulação das condições iniciais do processo, a fim de avaliar os efeitos sobre as varáveis dependentes, produtividades em células (PX) e em lipídios (PL). Para todas as condições testáveis um aumento na concentração inicial de substrato (S0), estimulou o crescimento celular (Px) e a produtividade de lipídios (PL). A produtividade em biomassa variou de 0,012 a 0,083 g.L-1.h-1 e em lipídios variou de 0,90 a 6,34 mg.L-1.h-1. Dentro das condições estudadas em que os ensaios foram realizados, o ensaio 4, apresentou as maiores produtividades, e as condições do ensaio 7, foram as que proporcionaram as menores produtividades, sendo, portanto, a concentração de 2,00 g.L-1 de células e 40,00 g.L-1 de substrato a condição mais indicada para a geração de biomassa e de lipídios. Dessa forma, a partir dos resultados obtidos na simulação, verificou-se que a manipueira mostrou ser um bom substrato para o crescimento da levedura Rhodotorula mucilaginosa e para a produção de lipídios.
Manejo integrado de uva e erva sal (atriplex nummularia) para fins de fitorremediação no Semiárido Paraibano.
Authors:   , Emília Barros do  Nascimento Maria
Published: June 2023

A contaminação dos solos por intermédio de sais vem ocorrendo predominantemente em excesso nas regiões áridas e semiáridas. As consequências dessa salinização acarretam em falta de manejo adequado do processo de irrigação, uma ausência no sistema funcional de drenagem em perímetros irrigados. As plantas halófitas adaptadas aos elevados níveis de salinidade, mostram-se promissoras por acumular grandes quantidades de sais extraídos dos solos em seus tecidos. Diante disto, este trabalho teve como objetivo revitalizar o parreiral existente, com cultivares de Vitis labrusca e Vitis vinífera, através da implantação da Atriplex nummularia (erva sal) como agente fitorremediador de solos salinos. Neste estudo foram avaliados a análise química do solo, o sistema de irrigação por meio das análises físico-químicas das águas, bem como a preservação dos cachos de uvas por meio de diversas técnicas. As análises de solo na profundidade de até 20 cm, indicaram a presença de absorção de grandes quantidades de sódio. A diminuição de potássio apresentada nas coletas com profundidade de até 20 cm demonstrou um equilíbrio entre cátions presentes no solo, tendo função de ativação enzimática por parte das plantas halófitas, como a Atriplex nummularia (erva sal). Nos solos com profundidade de até 40 cm, a diminuição do pH determinou uma menor disponibilidade de nutrientes se referindo a menor capacidade de troca devido a absorção de sais por meio da erva sal (Atriplex nummularia). Diante do exposto pode-se dizer que a erva sal (Atriplex nummularia) se mostra favorável como uma alternativa econômica e viável para a retirada de sais presentes no solo.
Análise cinética comparativa da produção de vodca conduzida em processo fermentativo descontínuo e descontínuo alimentado.
Authors:   , Souza de Oliveira Semyres
Published: June 2023

A vodca é o álcool etílico potável, vem das matérias-primas agrícolas e filtrada através do carvão ativado, tem como principal característica a ausência de cheiros e aromas.Tendo sido desenvolvida provavelmente em meados do século XIV, sua origem ainda é tema de discussões entre os países Rússia e Polônia. Nos últimos anos vem ganhado espaço no mercado de destilados, sendo a 5º bebida mais consumida no Brasil. Assim esse trabalho teve como objetivo estudar a produção de vodca, a partir do mosto de batata doce comparando o desenvolvimento utilizando dois tipos de processos fermentativos, sendo uma em modo descontínuo e outra em descontínuo alimentado. Para a realização das fermentações foi utilizado a levedura Saccharomyces cerevisiae, cepa JP1. O mosto obtido foi inoculado em reatores artesanais. Durante as fermentações, foram analisados os parâmetros fermentativos cinéticos: teor de sólidos solúveis, concentração células e concentração de etanol ao longo dos processos fermentativos. Também foram determinados o rendimento, eficiência e produtividade do fermentado alcoólico.O teor de sólidos solúveis de 18,0°Brix inicial e de 8,0°Brix final, com concentrações de células iniciais de 105,84 g/L e finais de 79,51g/L e a concentração final de etanol foi 19,5°GL.O fermentado foi destilado em alambique artesanal, com melhor rendimento das fermentações realizadas foi0,49, com melhor eficiência de 95,9% e melhor produtividade 0,15 g/L.h-1. Os destilados foram purificados em carvão ativado e foi realizado mais uma destilação para obter uma Vodca com graduação alcoólica de 40% (v/v),dentro dos parâmetros estabelecidos pela legislação brasileira.
Avaliação do potencial de cactáceas para aplicações em processos biotecnológicos.
Authors:   , Maria de Queiroz Silva Luana
Published: June 2023

A busca por energia limpa, pela utilização de matérias-primas renováveis e que apresentem interesse biotecnológico vem crescendo cada vez mais. A biomassa lignocelulósica é uma fonte economicamente viável na qual a energia química pode ser liberada por meio de processos químicos e termoquímicos. O objetivo deste trabalho foi avaliar a aplicabilidade da biomassa de plantas e frutos, oriundos da região do semiárido, como potenciais matérias primas na geração de bioprodutos e biocombustíveis. Para isso, foram utilizados como biomassa o caule e o fruto do mandacaru (Cereus jamacaru P.DC.), raquetes da palma forrageira (Opuntia ficus indica Mill) e o fruto do rabo de raposa (Harrisia adscendens). A determinação da composição da biomassa seca foi realizada determinando os teores de umidade, cinzas, extrativos, lignina e holocelulose (celulose + hemicelulose), além da determinação da quantidade de açúcares redutores pelo método do DNS (Ácido 3,5-Dinitrosalicílico). A partir dos resultados analisados, foi demonstrado que a palma e o mandacaru apresentam maiores teores de umidade, ou seja, são as duas matérias que apresentaram em sua constituição maior quantidade de água. As maiores frações de extrativos foram encontrados nos frutos de mandacaru e de rabo de raposa, provavelmente devido à grande quantidade de sementes em sua constituição. Em relação a holocelulose, fração composta por celulose e hemicelulose, foi possível verificar valores significativos em todas as biomassas utilizadas, principalmente para palma e mandacaru, com valores superiores a 60%. O maior teor de lignina foi observado para o mandacaru, que apresentou 17,64% deste constituinte. Quanto aos açúcares redutores, os frutos apresentaram os valores mais elevados, possibilitando sua utilização em processos fermentativos, como os aplicados para geração de etanol e de produtos como xilitol. Assim, as cactáceas utilizadas, apresentam-se como uma alternativa importante para produção de produtos biotecnológicos e energia alternativa.
Aplicação de técnicas de melhorias para aumento da produtividade: um estudo de caso em um fast-food.
Authors:   , Dádiva Soares Nogueira Thayse
Published: June 2023

Constantemente as empresas necessitam-se adaptarem ao mercado e suas exigências para que consigam ultrapassar os seus concorrentes. Com isso, o objetivo desse trabalho foi realizar a aplicação da cronoanálise e a engenharia de métodos em uma empresa alimentícia para determinar e melhorar os seus processos, evitando a realização de movimentos desnecessários, balanceando e reduzir o tempo de produção. Essa redução foi observada a partir da análise dentro do gargalo de produção realizando a implementação do tempo padrão de acordo com procedimentos operacionais padrão (POP) estabelecidos com base no diagrama de Ishikawa e executando o plano de ação com ferramentas da qualidade. Os resultados obtidos foram satisfatórios e possibilitaram um aumento em sua capacidade produtiva de 312%.
Levantamento de custo para o cálculo de lucratividade em uma usina de processamento de leite de cabra na microrregião do Cariri Paraibano: um estudo de caso.
Authors:   , Lopes de Sousa Lima Kaíque
Published: June 2023

Com o histórico de custos de produção de uma empresa, é possível relacionar seus dados e desenvolver um orçamento, logo, através desses dados é possível planejar estratégias a curto, médio ou longo prazo trazendo cada vez mais melhorias. Traçando o objetivo que a organização desejar alcançar. Visando à análise do sistema de planejamento e controle produtivo, gestão de custos. A avaliação dos resultados é essencial para esclarecer as tomadas de decisões dentro de uma empresa. Sendo indispensável para a sobrevivência de uma organização no mercado. Sabe-se que garantir o fluxo contínuo de informações permite a avaliação da situação atual e a comparação com o planejado, identificando e controlando os possíveis desvios assim como suas causas apresentando soluções cada vez mais rentáveis. Esse trabalho visa analisar a apropriação dos custos e de calcular o lucro líquido obtido pelo o processamento de leite de cabra. Demonstrando-os de forma mais eficaz e objetiva possível, através de tabelas e gráficos.
Aplicação do Lean Manufacturing para a investigação de perdas produtivas: o caso de uma indústria alimentícia.
Authors:   , Carla Maciel Costa Pereira Ivanna
Published: June 2023

A economia brasileira encontra-se de forma instável, oscila com rapidez, e por isso as indústrias devem adequarem-se as mudanças, independentemente de como, e para tal, travam uma luta diária por uma fatia de mercado. Diante disso, as organizações estão buscando incansavelmente atender aos requisitos por meio de novos métodos de gerenciamento, que proporcionem maior qualidade, satisfação do cliente e melhoria nos resultados financeiros. Na cidade de Campina Grande- PB estão instaladas cinco empresas que produzem bolacha sorda, a empresa objeto desse estudo é uma dessas, a qual está no mercado há 20 anos, e busca constantemente por uma fatia desse mercado. A partir disso, este estudo teve como objetivo a aplicação do Lean Manufacturing, para redução de perdas no processo produtivo da bolacha sorda. Ao aplicar os procedimentos metodológicos, foi possível identificar as perdas existentes e um desbalanceamento das atividades pertinentes ao processo em estudo, isso foi possível através do Mapa de Fluxo de Valor (MFV). Foi proposto um balanceamento e através dele, reduziu-se 1 operador na execução das atividades. Com relação ao tempo de processamento foi obtida uma redução de 65%, através da diminuição do tempo de ciclo da atividade gargalo, e do tempo de espera do produto. A partir das soluções propostas será possível minimizar os custos, aumentar a qualidade no desempenho do processo, e por consequência maximizar os lucros.
Roteirização de veículos: estudo de caso em uma indústria de laticínios no Rio Grande do Norte.
Authors:   , Tainá Selba da Silva Jessika
Published: June 2023

A diminuição dos custos logísticos, bem como a melhoria do nível de serviço, são fatores importantes para a manutenção das empresas no mercado, visto queapresentam influência significativa na competitividade e nos resultados econômicos e financeiros da organização.Os problemas de transporte representam grande impacto nos custos logísticos da organização e apresentam papel fundamental no serviço ofertado ao cliente. O presente trabalho propõe a utilização de uma heurística para solucionar um problema real de roteirização de veículos com frota homogênea, demanda conhecida e com restrição de capacidade do veículo e jornada de trabalho dos motoristas. A estratégia adotada consiste na aplicação do método de Varredura para definir e propor novas rotas para o processo de distribuição de uma indústria de laticínios situada na cidade de Angicos, Rio Grande do Norte, de modo a atender as necessidades dos clientes, respeitando todas as restriçõespresentes no problema. O método mostrou-se eficaz no que tange a redução de trajetos, utilização máxima da capacidade do veículo e otimização do tempo disponível para entregas, influenciando na redução de 27,91% dos custos operacionais logísticos.
Botulinum Toxin A Delivery via MMP Technique: An Emerging Therapeutic Approach for Frontal Fibrosing Alopecia
Authors: Neri Simone Ramos Nogueira Guerra , Domingos Marta de Oliveira , Michalany Nílceo Schwery , Michalany Alexandre Ozores , Kalil Celia Luiza Petersen Vitello
Published: June 2023

Frontal Fibrosing Alopecia (FFA) is a disease of unknown etiology and pathogenesis whose prevalence has been increasing since its first description in 1994. With no cure, treatments only control the inflammatory process and disease progression, but do not reverse the changes induced by it. We report the case of a patient with early-stage FFA who underwent three monthly sessions of 30 units of Botulinum Toxin Type A administered by MMP® (Microinfusion of drugs through the skin) technique. The results showed a substantial improvement in the patient's clinical condition with inhibition of the inflammatory process and an evident increase in follicular density in the treated area.
utilização de tecnologias digitais no estágio docente durante o ensino remoto:
Authors: Augusto da Silva Leonardo , Braga Andréa Ribeiro , Pereira Julio Cesar , Shimizo Yasmin de Morais , Gibin Gustavo Bizarria
Published: June 2023

A pandemia causada pelo novo coronavírus, fez com que surgisse a necessidade do distanciamento social, que por sua vez, proporcionou a transformação das aulas presenciais em online, através do modelo de ensino denominado remoto emergencial. A continuidade das aulas se deu através da utilização de tecnologias digitais, que são ferramentas com potencial de facilitação ao acesso à informação e comunicação. Este presente trabalho teve como objetivo relatar a experiência do ensino de conceitos químicos no ensino remoto, bem como refletir sobre as dificuldades enfrentadas, pontos positivos e negativos. Utilizamos como referencial teórico os ideais propostos por Moran acerca das tecnologias digitais. As atividades foram desenvolvidas com alunos do cursinho pré-vestibular Ideal, vinculado à Faculdade de Ciências e Tecnologia da Unesp de Presidente Prudente, por intermédio das tecnologias digitais, como por exemplo Google Meet e quizzes interativos da plataforma Wordwall. Pôde-se notar a desmotivação dos alunos devido à baixa frequência nos encontros, entretanto, notou-se, através de comentários feitos pelos alunos participantes, que as tecnologias digitais empregadas cumpriram com os objetivos propostos de servirem como facilitadoras de comunicação e realização das atividades virtuais. Os pontos positivos foram expressos pela aquisição de experiências por parte dos estagiários, enriquecendo o seu repertório cultural e pessoal.
Educação Ambiental na percepção de professores no Ensino Fundamental I (Ilha Solteira, SP - Brasil)
Authors: Maciel Aline , Cardozo ´Bruna , Dornfeld Carolina
Published: June 2023

Partindo da necessidade de aprofundar os conhecimentos sobre o desenvolvimento da Educação Ambiental (EA), a pesquisa se propõe a traçar um panorama da situação atual da EA desenvolvida por professores polivalentes e especialistas nos anos iniciais do Ensino Fundamental I de três escolas municipais do noroeste paulista, considerando suas concepções e metodologias. Sendo uma pesquisa de cunho qualitativa, caracterizada como uma investigação empírica, as coletas de dados foram realizadas por meio de questionários à 46 professores (especialistas e polivalentes) que compõem a população de amostra. A tabulação dos resultados ocorreu por meio da Análise de Conteúdo que segundo Bardin (2016) consiste num método que tem como componentes essenciais além da descrição, a categorização e interpretação. Foi possível obter informações das diferentes concepções de EA pelos professores, na qual, demonstrou uma complexidade de conceitos sobre meio ambiente com tendência naturalística e antropocêntrica pautado no cuidar e preservar. Revelou-se também que as principais temáticas ambientais desenvolvidas pelos participantes da pesquisa são lixo e reciclagem, tendo como maior número de citação de metodologia adotada os debates e rodas de conversas. Os mesmos encontram dificuldades no desenvolvimento da EA quando se pretende realizar saídas de campo.
DEVELOPMENT OF CONDITIONED ABILITIES OF TAEKWONDO ATHLETES AT THE AGED OF 15-17 WITH THE METHOD OF CIRCULAR TRAINING
Authors: Danielyan G. V. , Harutyunyan Kh. T. , Hasratyan V. B.
Published: June 2023

The relevance of the work is due to the fact that a high level of conditioned abilities plays a crucial role in achieving high sports achievements in taekwondo, and one of the best ways to achieve it is the method of circular training.
The aim of the research is to develop an effective methodology for developing conditioned abilities of taekwondo athletes at the age of 15-17.
When analyzing the results of the experiment, it was found out that the taekwondo athletes, involved in the experimental and control groups, had positive changes in conditioned abilities. Of the five exercises tested, significant differences were registered in only three of them, and in the first and fourth exercises, although there are positive changes, they are unreliable.
The most effective method of joint development of conditioned abilities is the method of circular training. To increase the level of physical fitness, it is necessary to use circular workouts at least twice a week.
Libertad económica de Norteamérica 2022
Authors: Stansel Dean , Torra José , McMahon Fred , Carrión-Tavárez Ángel
Published: June 2023

Libertad Económica de Norteamérica 2022 mide hasta qué punto las políticas de las distintas provincias y estados apoyan la libertad económica —la capacidad de las personas para actuar en la esfera económica sin restricciones indebidas—. Incluye un índice subnacional para la comparación de jurisdicciones individuales (gobiernos provinciales/estatales y municipales/locales) dentro del mismo país, y un índice de todos los gobiernos para la comparación de jurisdicciones (gobiernos federales) en diferentes países. Para el índice subnacional, Libertad económica de Norteamérica emplea 10 variables para los 92 gobiernos provinciales/estatales de Canadá, Estados Unidos y México en tres áreas: (1) Gasto público, (2) Impuestos y (3) Regulación. En el caso del índice de todos los gobiernos, incorporamos tres áreas adicionales a escala federal del informe anual Libertad económica del mundo: (4) Sistemas legales y derechos de propiedad, (5) Moneda sana y (6) Libertad para comerciar internacionalmente. Además, ampliamos el área 1 para incluir la inversión gubernamental, el área 2 para incluir las tasas marginales superiores de impuestos sobre la renta y la nómina, y el área 3 para incluir la regulación del mercado crediticio y las regulaciones comerciales. Estas adiciones ayudan a captar las restricciones a la libertad económica que son difíciles de medir a escala provincial/estatal y municipal/local.
Camera Tripod Removal Model in Panoramic Images Based on Generative Adversarial Networks
Authors: Jian Wu Jian Wu , Jian Wu Honghui Deng , Honghui Deng Fei Cheng , Fei Cheng Hongjun Wang
Published: June 2023

There are often residual images of the camera tripod in panoramic images, which may reduce the image quality and deteriorate the post-processing speed. To address this problem, a camera tripod removal network (TRNet) based on generative adversarial network is proposed. As an end-to-end model, the generator is designed to include recognition and reconstruction branches, which reduce the number of parameters and improve the training efficiency by sharing the encoder and correspond to scaffold recognition and texture reconstruction respectively. The recognition branch based on the U-Net structure can effectively identify the tripod area, while the reconstruction branch can brilliantly reconstruct the texture details through an intermediate layer formed by stacking dilated convolution residual blocks. Furthermore, spectral normalized Markov discriminator and multiple combined loss function are adopted to promote global texture consistency and thus result in a better texture filling effect. Finally, a data set of 400 panoramic images is constructed and experimental results on this data set demonstrate the better repair ability of TRNet against other state-of-the-art methods.

 
Vehicle Clustering and Resource Allocation Algorithm Based on Cellular Network
Authors: Chen-Wei Feng Chen-Wei Feng , Chen-Wei Feng Xian-Guo Lu , Xian-Guo Lu Yu Sun , Yu Sun Huang-Bin Zeng , Huang-Bin Zeng Zhuo Li
Published: June 2023

As a special Mobile Ad-hoc Network (MANET), Vehicular Ad-hoc Network (VANET) plays a very important role in the future intelligent transportation system. In order to solve the problems of unstable communication connection, fast network topology change and low communication resource utilization caused by high vehicle mobility in VANET, a low-complexity resource allocation algorithm based on vehicle cluster is proposed. Firstly, considering the speed, position and moving direction of the vehicles, a vehicle clustering algorithm based on movement consistency is proposed to cluster the vehicles and keep the vehicle cluster stable. Secondly, a low-complexity resource allocation algorithm is proposed to improve the utilization rate of communication resources, which is constrained by the interference caused by the vehicle clusters to the cellular users. Simulation results show that the proposed algorithm has low complexity and can better maintain the stability of vehicle clusters and improve the system capacity in the common complex Internet of Vehicles (IoV) scenarios in cities.

 
A Dynamic Task Assignment Optimization Method for Multi-AGV System Based on Genetic Algorithm
Authors: Shuan-Jun Song Shuan-Jun Song , Shuan-Jun Song Long-Guang Peng , Long-Guang Peng Jie Zhang , Jie Zhang Zhen Liu
Published: June 2023

Aiming at the influence of AGV without considering the working state on task assignment decision in multi-AGV system task assignment, a dynamic task assignment decision method with task completion prediction based on genetic algorithm. When assigning the arrived tasks at each stage, the decision method brings the working AGVs and the idle AGVs into the set of schedulable vehicles at the same time, which expands the scope of the optimal decision, makes the available AGV resources more fully mobilized in the dynamic scheduling process, and improves the efficiency of the whole scheduling system. First, this paper establishes a prediction model for task completion. On this basis, the task assignment decision model of multi-AGV system based on task completion prediction is established, and the coding, fitness function and genetic operation of the genetic algorithm suitable for this problem are designed. Finally, a univariate factor analysis is carried out on the task assignment time interval and the number of AGVs by using an example, which verifies the effectiveness of the task assignment strategy of the multi-AGV system based on task completion prediction. The results show that the genetic algorithm can better solve the task assignment problem with task completion prediction, and can schedule the available AGV resources to a greater extent, which effectively increase the number of tasks completed by the multi-AGV system in one production cycle.

 
Fault Diagnosis of Train Body Sign Abnormal Pattern with Deep Learning Based Target Detection
Authors: Yuanjiang Hu Yuanjiang Hu , Yuanjiang Hu Aisen Yang , Aisen Yang Zonghong Zhang , Zonghong Zhang Na Qin
Published: June 2023

With the development of high-speed trains in recent years, security issues have received more attention. Automatic visual inspection of the train operation system for detecting abnormalities has become a fundamental element to guarantee the safety of the train operation. Train body sign patterns like the loss and fracture of signs and lock catch (SLC) on the electrical box cover (EBC) affect the regular operation of the train electrical system. In this paper, to ensure the safe operation of the train, a novel method combining a faster region-based convolutional neural network (Faster R-CNN) and similarity metrics is proposed to detect the abnormality of SLCs on train EBC. First, the positions of body train signs of multiple sizes are located by Faster R-CNN. Then, the regions of interest (ROI) are cut out and resized to the same size as the corresponding template images. Finally, by similarity measures, the status of the train body sign pattern is judged by comparing with the given threshold similarity value between ROIs and the template images. It is worth noting that the combination of Faster R-CNN and cosine similarity renders high accuracy in small target detection and strong robustness in image similarity comparison. The effectiveness of the proposed fault detection method and its superiority over the other types of combined methods are verified by actual experiments on the train of Guangzhou Metro Line 2.

 
LS-DN Algorithm Based User Matching and Power Minimization in NOMA Disaster Communication
Authors: Chengcheng Zou Chengcheng Zou , Chengcheng Zou Damin Zhang , Damin Zhang Linna Zhang
Published: June 2023

To address the limited and time delay disaster communication, a joint optimization scheme integrates the advantages of differential evolution algorithm (DE) and naked mole- rat algorithm (NMR), and proposes Lévy and sigmoidal DE-NMR, namely LS-DN. LS-DN applies the Lévy flight parameters of adaptive features and sigmoidal selection factor (λ) to the worker of NMR phase, and optimizes the crossover rate (CR) and variation parameter (F) in the DE algorithm, to obtain a balance the exploration and development capabilities. The proposed LS-DN algorithm is used to optimize the user aggregation scheme, since an effect aggregation of disaster victims can reduce power consumption and improve system performance. An value of power external function (Cfn ) is defined for each disaster victim, which is expressed as the system power consumption value for each disaster victim under different aggregation schemes. To minimize the microcell power without deteriorating the quality of service (QoS), it is demonstrated by analyzing the relevant characteristics of non-orthogonal multiple access（NOMA）disaster communication that the power consumption strongly depends on user aggregation method and power allocation. The significance of joint optimization for improving the performance of NOMA disaster communication systems is also emphasized. Simulation results show that LS-DN is able to significantly reduce the power consumption of the system. With the application of LS-DN, the throughput of NOMA system increases by 65% compared to the conventional orthogonal multiple access (OMA) system.

 
A Machine Learning Based Approach to QoS Metrics Prediction in the Context of SDN
Authors: Hao Xu Hao Xu , Hao Xu Xian-Bin Wan , Xian-Bin Wan Hui Liu
Published: June 2023

With the advent of the industrial Internet era and rapid traffic growth, network optimization is increasingly needed, and network optimization starts with knowing QoS-related metrics. In this paper, we use a machine learning approach in a theoretical SDN architecture, using traffic as the input to a machine learning model, to predict network QoS metrics, focusing on network jitter and packet loss rate. We built a LAN and deployed a time server on the LAN in order to make the time of the devices on the LAN highly consistent. Experiments were conducted under this LAN to obtain data sets about traffic and QoS metrics. Then, we used the completed trained machine learning model to predict the network jitter and packet loss rate using traffic as the input to the machine learning model. The highest R² values for the prediction of network jitter and packet loss reached 0.9996 and 0.939, respectively. The experiments show that a suitable machine learning model is able to predict network jitter and packet loss rate relatively accurately for a specific network topology.

 
Human Activity Recognition Based on CNN and LSTM
Authors: Xu-Nan Tan Xu-Nan Tan
Published: June 2023

Human activity recognition (HAR) based on wearable devices is an emerging field of great interest. HAR can provide additional information on a human subject’s physical status. Utilising new technologies for HAR will become very meaningful with the development of deep learning. This study aims to mine deep learning models for HAR prediction with the highest accuracy on the basis of time-series data collected by mobile wearable devices. To this end, convolutional neural networks (CNN) and long short-term memory neural networks (LSTM) are combined in a deep network model to extract behavioural facts. The proposed CNN model contains two convolutional layers and a maximum pooling layer, and batch normalisation is added after each convolutional layer to improve convergence speed and avoid overfitting. This structure yields significant results in terms of performance. The model is evaluated on the MHEALTH dataset with a test set accuracy of 99.61% and can be used for the intelligent recognition of human activity. The results of this study show that the proposed model has better robustness and motion pattern detection capability compared to other models.

 
An End-to-End Multi-Scale Conditional Generative Adversarial Network for Image Deblurring
Authors: Fei Qi Fei Qi , Fei Qi Chen-Qing Wang
Published: June 2023

For image deblurring, multi-scale approaches have been widely used as deep learning methods recently. In this paper, a novel multi-scale conditional generative adversarial network (CGAN) is proposed to make full use of image features, which outperforms most state-of-the-art methods. We define a generator network and a discriminator network. First of all, we use the multi-scale residual modules proposed in this paper as main feature extraction blocks, and add skip connections to extract multi-scale image features at a finer granularity in the generator network. Secondly, we construct PatchGAN as the discriminator network to enhance the local feature extraction capability. In addition, we combine the adversarial loss based on Wasserstein GAN with gradient penalty (WGAN-GP) theory with the content loss defined by perceptual loss as the total loss function, which is conducive to improving the consistency between the generated images and the ground-truth sharp images in content. The experimental results show that the method in this paper outperforms the state-of-the-art methods in visualization and quantitative results.

 
Artificial Intelligence Assisted Energy Optimization and Control Method for Microgrids
Authors: Dong-Liang Fan Dong-Liang Fan , Dong-Liang Fan Jian Wang , Jian Wang Qian-Han Zhang , Qian-Han Zhang Jin-Ping Du , Jin-Ping Du Rui Yuan
Published: June 2023

As the future direction of power development, microgrids are particularly important for rational and efficient energy management. This article establishes an optimization model with multiple uncertainties as parameters for the microgrid energy system, with the objective function of minimizing operating costs. Then, an improved harmony algorithm was used to solve for the optimal solution of the model parameters. Finally, a microgrid system consisting of wind and thermal power units established in a certain area of Hebei Province was used for solution analysis. After experimental verification, the proposed method in this paper achieved significant improvements in both operational cost reduction and microgrid efficiency.

 
Artificial Intelligence Assisted Intelligent Adjustment Method for Urban Rail Transit Train Operation
Authors: Fei An Fei An , Fei An Xiu-Juan Chang , Xiu-Juan Chang Ya-Ping Liu , Ya-Ping Liu Bin He , Bin He Dong-Mei Guo , Dong-Mei Guo Yan-Xiang Yao , Yan-Xiang Yao Ze Chang
Published: June 2023

The operation of intercity rail transit has greatly relieved the pressure of urban traffic. In order to improve the operation quality and passenger carrying capacity, the scheduling strategy of urban rail needs to be timely adjusted according to the passenger flow and other disturbing factors, especially the traffic control problems brought by the outbreak of the epidemic. In this paper, according to the epidemic situation and the characteristics of peak passenger flow in the morning and evening, an optimization model is designed to minimize the travel cost of passengers and the daily cost of the urban rail operation company. The optimal solution of the model is found through the reinforcement learning algorithm. Finally, based on the parameters of Shijiazhuang Metro, the optimal train scheduling scheme is obtained through simulation, which verifies the effectiveness of the research method in this paper.

 
Collaborative Planning Method for Flexible Production Workshop Equipment and AGV Trolley Based on Artificial Intelligence Algorithms
Authors: Jin-Ping Du Jin-Ping Du , Jin-Ping Du Xiao-Fei Wu , Xiao-Fei Wu Jian Wang , Jian Wang Dong-Liang Fan , Dong-Liang Fan Qian-Han Zhang
Published: June 2023

This article proposes a multi-objective function that includes AGV running time, production workshop energy consumption, and machine running efficiency, in response to the problems of path conflicts, single planning objectives, and isolation of planning stages in the current flexible production workshop AGV car planning. Then, the flying mouse algorithm is used to solve the problem using multiple functions. In order to avoid falling into local optima during the solving process, a simulated annealing strategy is incorporated into the flying mouse algorithm. Finally, taking the production of new energy vehicle on-board batteries as an example, a collaborative planning analysis was conducted using the method proposed in this paper. The results showed that the algorithm proposed in this paper can save 30% of running time and improve machine operating efficiency by 22.7%.

 
Conflict Evidence Fusion Algorithm Based on Cosine Distance and Information Entropy
Authors: Ziyang Chen Ziyang Chen , Ziyang Chen Yang Zhang
Published: June 2023

Dealing with high conflict evidence, traditional evidence theory sometimes has certain limitations, and results in fusion results contrary to common sense. In order to solve the problem of high conflict evidence fusion, this paper analyzes traditional evidence theory and proposes an evidence fusion method that combines cosine distance and information entropy. Cosine distance can measure the directionality between two vectors. The better the directionality, the more similar the two vectors are. Therefore, this article uses cosine distance to determine the similarity between evidences, and then calculates the credibility of each piece of evidence. Information entropy can calculate the amount of information for each evidence. The greater the information entropy, the greater the uncertainty of the evidence. Therefore, this article uses information entropy to measure the uncertainty of the evidence. Then, the credibility and uncertainty of the evidence are fused to calculate the weight of the evidence. Then we use d-s evidence theory for evidence fusion. The numerical example shows that the method is feasible and effective in dealing with conflict evidence.

 
The Prediction of Apple Pests Based on CEEMD-GWO-GRU
Authors: Bo-Wen Lv Bo-Wen Lv , Bo-Wen Lv Wen-Bai Chen , Wen-Bai Chen Yi-Qun Wang
Published: June 2023

The study aimed to address the harm caused by frequent occurrence of Carposina sasakii by proposing a predictive model (GEEMD-GWO-GRU) and a warning mechanism. This model combined Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Grey Wolf Optimization Algorithm (GWO) with Gated Recurrent Unit (GRU). The historical data on Carposina sasakii was first decomposed using CEEMD, then each eigenfunction modeled through GWO-GRU. Finally, the prediction of each eigenfunction was integrated to develop an apple and peach microcephalus prediction and early warning model based on GRU. Results indicated that the CEEMD-GWO-GRU model was more accurate in predicting apple Carposina sasakii disease compared to other methods, displaying an average absolute percentage error of 0.823% and a coefficient of determination of 0.961. This method has potential as a new strategy for agricultural pest and disease prediction.

 
Penerapan Metode Problem Solving dalam Meningkatkan Aktivitas Belajar Siswa Mata Pelajaran PPKn Materi Pentingnya Keutuhan NKRI di SDN Temba Kelas V Semester 1 Tahun Ajaran 2016/2017
Authors: Ahmad Ahmad
Published: June 2023

Penelitian tindakan kelas ini bertujuan meningkatkan hasil belajar dan aktivitas belajar siswa melalui metode Problem Solving. Penelitian dilakukan pada siswa kelas V SDN Temba Semester 1 tahun ajaran 2016/2017 sebanyak 7 orang siswa. Pada prasiklus penelitian, ketuntasan klasikal sebesar 42,85% atau sebanyak 3 orang siswa dari jumlah 7 orang siswa dan aktivitas belajar siswa sebesar 58%. Setelah dilakukan tindakan pada siklus 1, persentase ketuntasan klasikal mencapai mencapai 71,42% atau sebanyak 5 orang siswa dan pada ativitas siswa 68% siswa lebih aktif dari sebelumnya. Skor hasil belajar dan aktivitas siswa ini belum memenuhi indikator keberhasilan yang ditetapkan sebelumnya, sehingga penelitian dilanjutkan ke siklus ke 2. Pada siklus 2, persentase ketuntasan kelasikal mencapai mencapai 100% atau sebanyak 7 orang siswa dinyatakan tuntas belajar, semenatara aktivitas siswa meningkat menjadi 98% siswa aktif dalam pembelajaran. Pelaksanaan proses pembelajaran siklus 2 dinyatakan tuntas belajar, karena aktivitas dan hasil belajar siswa sudah mencapai ketuntasan klasikal yang sudah ditetapkan. Berdasarkan hasil observasi proses pembelajaran siklus 2 dan tercapainya indikator keberhasilan, dapat disimpulkan bahwa penelitian tidak dilanjutkan pada siklus berikutnya.
Academic Service Quality Analysis In Walisongo UIN FITK, Semarang
Authors: Wahyudi Wahyudi , Wulandari Sri
Published: June 2023

This study aims to analyze the quality of academic services at the Faculty of Tarbiyah and Teacher Training (FITK) at the Walisongo State Islamic University (UIN) Semarang. This type of research is called mixed research (mix method), which seeks to examine a subject in depth using qualitative and quantitative methods. This in-depth study is intended to form a model or theory based on the interrelationships between the data found. Broadly speaking, there are two types of data used in this study, namely, primary data and secondary data. First, primary data were obtained from study program leaders at the Faculty of Tarbiyah and Teacher Training. This data was obtained using data collection techniques, namely questionnaires, interviews, and focus group discussions. Second, secondary data obtained from collecting and observing documents related to the quality of academic services The results of this study can be summarized as follows: 1) The quality of academic services at the Faculty of Tarbiyah and Teacher Training (FITK) at Walisongo State Islamic University (UIN) Semarang is good. This is based on the average score of academic service quality, 80.43%; 2) The five dimensions of academic service quality, Faculty of Tarbiyah and Teacher Training (FITK) at Walisongo State Islamic University (UIN) Semarang prioritize the tangible dimension.
Analisis Kepuasan Pelanggan Dengan Importance Performance Analysis (IPA)
Authors: Palinggi Yonathan , Sabran Sabran , Hamji Hamji
Published: June 2023

The purpose of this study was to determine customer satisfaction based on service quality and marketing mix variables using the Importance Performance Analysis Method and in which quadrant is customer satisfaction at Anyi Ethnik Stores in Tenggarong using the Importance Performance Analysis Method. The population in this study were all consumers who were directly involved and had made purchases at the Anyi Ethnic Shop in Tenggarong in August 2021 for 10 days. The total number of samples used in this study was 50 people. The results showed that there was a high level of customer satisfaction with Anyi Ethnic Shops using the Importance Performance Analysis Method where there were 6 factors Tenggarong Anyi Ethnic Shops did not provide the best service on this attribute. In order for management to concentrate on improving all of its performance on this attribute (concentrate here). The services provided to the attributes in Quadrant B need to be maintained (keep up the good work). The Anyi Ethnic Shop in Tenggarong provides good service to customers. Therefore, this area is called an excess area (possible overkill).
Profile of publications on tourism with elderly people in Brazil
Authors: Valadares Maíra de Oliveira , Silva Margaret da Conceição , Da Silva Polliana Teixeira , Freitas Soares Chariglione Isabelle Patriciá
Published: June 2023

Tourism and leisure are sectors that have been awakening the demand of elderly consumers. The aim of this article was to map the literature on Brazilian productions on tourism and human aging. For this purpose, a Scoping review was carried out using the PRISMA method. Data collection did not have publication time delimitation and CAPES and BDTD databases were used. The 46 selected documents were analyzed by IRaMuTeQ. The results were presented using the descending hierarchical classification method and the word cloud. The corpus was divided into 365 text segments and 59.06% of these data were evaluated. 12,723 different elements were analyzed. Descending hierarchical classification separated the corpus into five classes of textual elements. The importance of these publications for a national panorama and future analyzes of the development of this theme in our society are highlighted.
Microbiological characterization of soil in Guadalupe Plateau, Piauí
Authors: Cardozo Júnior Francisco , Carneiro Romero Francisco Vieira , Cardozo Leomara Vieira de França , Nicolini Cícero , Almeida Adriano da Silva
Published: June 2023

The effects of replacing native forest with different pasture-based animal production systems on soil microbial biomass and enzymatic activity for fruit cultivation in the Guadalupe Plateaus (PI) were evaluated. Soil samples were collected during the dry and rainy seasons (0-10 cm). The monoculture systems studied were: Acerola, Banana, Guava, and a fragment of native Cerrado forest. The areas with solely banana and guava showed higher Cmic values compared to Acerola. The highest qCO2 results were observed in the acerola treatment during both the dry and rainy seasons. The highest values of fluorescein diacetate (FDA) hydrolysis potential were detected in the guava area in both seasons. The use of soil microbial carbon (Cmic), basal soil respiration (RB), qCO2, and the enzymatic activity of β-glucosidase, acid phosphatase, and FDA demonstrate sensitivity to soil management changes, making them efficient parameters for assessing alterations and ecological sustainability in soil biology in fruit cultivation areas in the southern region of Piauí state.
The nuances of art teaching: transversal themes and interdisciplinarity
Authors: Marques Walter Rodrigues , Rocha Maira Teresa Gonçalves , Soares Herbia Araujo , Rodrigues Bruna Monique Cunha , Silva Rafaela dos Santos , Campos Celso Ulisses Costa , Carvalho Paulo César Alves de
Published: June 2023

The article problematizes the relationship between art teacher education and cross-cutting themes and their implication in professional practice. It aims to clarify concepts and crossings, seeking to explain how to use these approaches without, however, extrapolating other disciplinary fields. For this, it brings some considerations about the History of education, the official curricula and the practical application of it. It presents the relations of the practice of teaching Art in events that take place on the school floor, which led to questioning how Art fits into these events, what is its function. Theoretically, it is based on: Barbosa, Tourinho, Coutinho, Richter, who present concerns in art teaching in contemporary Brazil; Buoro, Ferraz and Fusari, who bring their experiences at school, explaining reality and prejudices; Lowenfeld, the importance of teaching art to children; federal and state legislation on education and the Arts. The methodology adopted was bibliographical and documentary research, of a qualitative nature. The results pointed to the need for a better definition of the disciplinary fields as well as curriculum updating.
Creative Adjustment and the Global Field
Authors: Parlett Malcolm
Published: June 2023

"Abstract: The purpose of this article is to reflect on the future of psychotherapy in a water mntext of society and global change. The first half is about psychotherapy in general. There are both optimistic and pessimistic scenarios concerning world problems, globaIisation, and changes in our ways of life. Psychotherapists need to be aware that distress and confusion may be shared at a mass level in society. This calls for a fundamental review of our profession - its purposes and methods, The field theory perspective provides a basis for such thinking. The second half of the article focuses on the Gestalt concept of 'creative adjustment' as basic to a field-based psychotherapy of the future. Gestalt education and therapy might be mnsidered as involving learning and practice with five aspects of creative adjustment, identified here as 1. Responding; 2. Interrelating; 3. Self-Reoognising; 4, Embodying; and 5. Experimenting. Their status as human abilities, necessary for human beings in the face of global changes, is discussed. Key words: globalisation, mental health, Gestalt therapy, field, creative adjustment, human abilities."