bluuebunny/crossref_metadata_2025 huggingface dataset:
machine learning method for heart disease prediction using convolutional neural network
Authors: Khandhan C. Rukumani , Sowndharya P. , Visalini N. D.
Published: August 2022

Heart disorder is one of the complicated sicknesses and globally many human beings suffered from this disorder. On time and green identity of coronary heart disorder a key function in fitness care especially withinside the area of cardiology. The utility of disorder prediction the usage of system gaining knowledge of withinside the scientific analysis area is growing successively. This may be contributed mainly to the development withinside the type and pinpointing structures utilized in disorder identity and reputation structures utilized in disorder analysis that's capable of offer records that aids health workers in early identity of deadly sicknesses and therefore, elevating the survival price of sufferers importantly. Applying distinctive styles of algorithms, every with its personal benefit on 3 separate databases of disorder (Heart) to be had in UCI repository for disorder prognosis. The results regarding the identification of diseases using machine learning algorithm has strengthen the concept of the applying of machine learning in early detection of diseases, so that the disease can be diagnosed in the early stage itself and then it can be treated as earlier.So that the survival prices of the sufferers may be increased.
La cultura educativa que nos transmiten las pantallas
Authors: Fondón Ludeña Ana , Ravina Ripoll Rafael , Gutiérrez Montoya Guillermo Antonio
Published: August 2022

El siguiente artículo resume una investigación cultural sobre los elementos identitarios de los sistemas educativos que continúan transmitiéndose a los y las jóvenes a través de los medios de comunicación en los formatos más consumidos por los adolescentes. El principal objetivo es alertar de las disonancias socializadoras que encontramos entre lo que puede estar en el imaginario de los estudiantes sobre su contexto educativo y la realidad. Todo ello, para elaborar un punto de partida que sirva para posteriores estudios que nos permitan “educar la mirada”.
Ações preventivas para o controle da Leishmaniose Tegumentar Americana (LTA) no Vale do Ribeira, Paraná, Brasil
Authors: Romero Neto Irienu , De Oliveira Germano Kelly , José De Andrade Andrey , Costa Ribeiro Magda
Published: August 2022

A Leishmaniose Tegumentar Americana (LTA) é caracterizada por feridas na pele em forma de “cratera de lua” com baixa mortalidade, mas alta morbidade. Embora exista diagnóstico e tratamento para a LTA, a doença requer que seja feito um trabalho educativo de prevenção, uma vez que o diagnóstico é muito invasivo e o tratamento muito agressivo. Considerando os elevados números de casos autóctones de LTA na região do Vale do Ribeira, o objetivo desse estudo foi realizar ações formativas e educativas nos municípios de Cerro Azul e de Itaperuçu nos anos de 2016 a 2019. Desse modo, para ambos os municípios, foram propostas atividades educativas considerando aspectos relacionados ao: a) agente etiológico, o protozoário; b) vetor, o inseto, c) ambiente; d) profilaxia; e) diagnóstico e; f) tratamento da LTA. Em Itaperuçu, os agentes de saúde receberam capacitação sobre a coleta e reconhecimento dos flebotomíneos, vetores de Leishmania spp. Ainda, em Itaperuçu e Cerro Azul, diversas atividades educativas como jogos, palestras, teatro foram realizados para estudantes e professores. A discussão e os esclarecimentos sobre essa endemia, envolvendo os órgãos de saúde e as escolas, auxiliam na implantação de políticas públicas e melhoria ao acesso para o diagnóstico, o tratamento e, sobretudo, na sua profilaxia para a comunidade. Esses fatores favorecem o sistema de vigilância da LTA, resultando em benefícios na saúde pública para a população dessa região.
Sistema agrossilvipastoril como alternativa para agricultura familiar: Um Estudo de Caso em Três Passos/RS
Authors: Antoniazzi Marli Salete , Lanzanova Mastrângello Enivar , Silva Danni Maisa , Weber Fernanda Hart , Lanzanova Luciane Sippert
Published: August 2022

No estado do Rio Grande do Sul há uma busca incessante para desenvolver tecnologias com finalidade de inovar no campo das produções agrícola, pecuária e florestal. Dentre essas tecnologias está o sistema de integração entre lavoura, pecuária, e floresta, também conhecido como sistema agrosilvipastoril (SASP). O objetivo deste Estudo de Caso foi Elaborar um Plano de Ações de Desenvolvimento Sustentável, através de um SASP, para uma pequena propriedade rural do município de Três Passos. O presente trabalho constou inicialmente de uma pesquisa bibliográfica sobre os sistemas integrados de produção. Em seguida, foi selecionada uma propriedade rural, onde foi realizado um diagnóstico da sua situação atual. Posteriormente, após realização de entrevista com os proprietários da área, foi apresentada uma proposta de implantação de um SASP. Observou-se que muitos dos problemas encontrados na propriedade pesquisada, eram passíveis de solução através de técnicas adequadas de manejo e conservação do solo e de tratos culturais ou culturas adaptadas à situação. Buscou-se através do SASP, propor alternativas para o gerenciamento das atividades através de tecnologias conservacionistas, que trazem inúmeros benefícios ao produtor. O Estudo de Caso abordou os principais ganhos e mudanças que a propriedade teria com a implantação do SASP, considerando as perspectivas econômicas e sustentáveis da produção agropecuária. Concluiu-se que este sistema de integração pode ser uma opção viável e próspera para o desenvolvimento da propriedade do casal de agricultores, desde que utilizado de forma correta, trabalhando práticas conservacionistas, sendo capaz de assim, mudar para melhor o atual cenário social, econômico e ambiental.
Avaliação de Jogos de Prevenção ao Bullying por Estudantes do Ensino Fundamental
Authors: Alves Dayse Lorrane Gonçalves , Da Silva Steffany Rocha , Martins Júnior Antonio Torres , Nunes Bruna Rodrigues , Stelko-Pereira Ana Carina
Published: August 2022

Diante das graves consequências do bullying, que afetam o desenvolvimento e aprendizagem de crianças e adolescentes, torna-se relevante construir estratégias lúdicas e criativas, a fim de compor programas preventivos nas escolas, para o enfrentamento desse problema. Dessa forma, o presente artigo tem como objetivo avaliar a atratividade e o conteúdo de três jogos de prevenção ao bullying por meio da percepção de 30 crianças de 10 a 12 anos. Trata-se de um estudo de avaliação, realizado em Fortaleza, Ceará, com uma turma de 5º ano da Rede Pública de Ensino. Os jogos foram desenvolvidos pela equipe do projeto de extensão “Prevenir na escola” e possuem o objetivo de promover o ensino de habilidades sociais e a identificação de situações de bullying. Para a coleta de dados, foi utilizado um questionário com perguntas abertas e fechadas, acerca do conteúdo e da atratividade dos jogos. As respostas às perguntas abertas foram submetidas a uma análise qualitativa e os dados referentes às perguntas fechadas foram analisados quantitativamente, por meio de cálculo percentual. Aproximadamente 75% das respostas em relação à avaliação caracterizaram-se como positivas no que se refere à aprendizagem, ao conteúdo e à atratividade. Enquanto os dados qualitativos demonstraram que os jogos proporcionaram uma experiência positiva aos estudantes, por meio da possibilidade de jogar e aprender em grupo. Este estudo indica que os jogos aplicados se constituem em ferramentas lúdicas promissoras de prevenção ao bullying, pois se mostraram atrativas e interessantes para o público-alvo.
Horto de plantas medicinais: modelo didático como contribuição na extensão universitária
Authors: Paulert Roberta , Kozera Carina , Zonetti Patricia Da Costa , Stefanello Suzana , Araujo Fernanda Cristina , De Oliveira Bruno Scaravonato , Nardi Gabriel , Ruppelt Bettina Monika
Published: August 2022

RESUMO As atividades com plantas medicinais colaboram com o papel transformador da extensão proposto pelas universidades públicas, tornando-as um instrumento de mudança profissional e social. Os projetos de extensão com plantas medicinais do Setor Palotina da Universidade Federal do Paraná (UFPR) contam com uma importante área para o cultivo de plantas, o Horto botânico. É um espaço didático que tem forte atuação há 25 anos (desde 2010) e abriga uma coleção diversificada com mais de 85 espécies vegetais nativas e exóticas. O horto é um local de 495 m2 com outras estruturas de apoio que configura espaço adequado para ações educativas, além de conservar o germoplasma e fornecer material de propagação no preparo de mudas. O Horto botânico recebe visitas guiadas de pessoas ou de grupos de várias regiões do Estado do Paraná, atendendo diferentes públicos que compreendem desde crianças até idosos, profissionais da saúde, além de funcionários terceirizados, técnicos, discentes e docentes da própria Universidade. Além da finalidade de extensão, o Horto apoia as atividades práticas de disciplinas e fortalece a pesquisa. Muitos projetos científicos das áreas da biologia, ciências agronômicas e biotecnologia na graduação e/ou pós-graduação são desenvolvidos utilizando a sua estrutura e biomassa e, portanto, configura-se como um espaço-ciência. Desta forma, o Horto associado as ações extensionistas com plantas medicinais têm papel essencial no intercâmbio de informações com a comunidade local regatando o saber popular, na conservação de espécies e na formação dos acadêmicos. Palavras-chave: Interação dialógica. Espaço didático. Popularização da ciência.
Grupo de automaquiagem para pessoas com deficiência visual: repercussões de uma ação extensionista da Terapia Ocupacional
Authors: Nascimento Gabriela Cordeiro Corrêa do
Published: August 2022

A deficiência visual, em interação com barreiras ambientais, pode repercutir na realização de atividades diárias, sendo necessárias intervenções envolvendo treino, utilização de recursos de tecnologia assistiva e modificações instrucionais ou da tarefa. A maquiagem foi identificada como demanda de intervenção com pessoas com deficiência visual. O objetivo deste relato consistiu em identificar as repercussões práticas de ação extensionista referente a intervenção terapêutica ocupacional no desempenho da atividade de automaquiar-se em um grupo de adolescentes e mulheres com deficiência visual. De abordagem qualitativa, exploratória-descritiva, do tipo pesquisa-ação, o projeto foi realizado com a implementação do Curso Básico de Automaquiagem para Pessoas com Deficiência Visual – Maquiagem Diurna. Foram aplicadas duas entrevistas semiestruturadas, antes e após o curso, para coletar dados sobre a experiência das participantes, sendo analisados por meio de análise de conteúdo. O formato do curso, a metodologia e as técnicas utilizadas repercutiram positivamente na automaquiagem, facilitando a realização das etapas, ampliando o repertório e minimizando a quantidade e o tipo de auxílio necessário. Observou-se escassez de estudos sobre o assunto; a necessidade de abordar o papel da maquiagem e sua importância no cotidiano dessas mulheres; e a relação dessa atividade com a autoimagem, a autoconfiança e a autoestima. Evidenciou-se a potência transformadora da ação extensionista relatada permitindo: a correlação teórico prática; a aproximação e a atuação de discentes e docentes em demandas advindas da comunidade e do campo de atuação; e proporcionando experiências e aprendizados que, tanto discentes quanto a coordenadora do projeto, não teriam em outros formatos de ações.
Ensino de Engenharia de Software a distância para alunos com Transtorno Espectro Autista: Relato de experiências
Authors: Macedo Helena
Published: August 2022

A Engenharia de Software é uma disciplina específica dos cursos de Computação. Além da dificuldade natural ao ministrar a disciplina, especialmente durante a pandemia, a complexidade aumentou devido a necessidade das universidades ofertarem disciplinas a distância para continuarem a oferecer educação para os alunos. Uma das dificuldades é a diversidade de níveis de conhecimento e características dos alunos, como alunos com Transtorno do Espectro Autista (TEA). Este artigo apresenta o relato em ministrar a disciplina de Engenharia de Software a distância para um aluno com TEA. Os resultados obtidos por observação da professora que ministrou a disciplina foram separados em dois domínios: cognitivo e socioemocional. Espera-se que este artigo possa auxiliar professores a desenvolverem seus materiais didáticos para alunos com TEA e contribuir para a comunidade científica na apresentação de oportunidades de pesquisa.
Investor Sentiment and Stock Market Return of Non-Financial Firms Listed on the Nairobi Securities Exchange
Authors:   The Catholic University of Eastern Africa, Nabosu Simon Sokorte , M’ithiria Esther Nkatha ,   The Catholic University of Eastern Africa
Published: August 2022

Investor sentiment is associated with attitude, thought, feeling, mood, belief, judgment, or expectation of market performance. The sentiment feeling is associated with investors' cognitive comparisons in their investment as well as their experience in making an investment decision. This study examined the effect of investor sentiment on stock market return of non-financial firms listed on the Nairobi Securities Exchange. The study adopted positivism as data collection and hypothesis development and testing was achieved. The study used quantitative research design to correlate study variables using mathematical analysis methods. The correlation results indicated that investor sentiment portrayed a positive association to stock market return. Regression of coefficients of the static model results indicate that investor sentiment and stock market return of non-financial firms listed on the Nairobi securities exchange is positively and significantly related. The results implied that there exist a positive and significant relationship between investor sentiment on stock market return since their coefficient values were positive. The regression coefficients result of lagged stock market return and stock market return was positively and significantly related. The regression of coefficients results indicate that investor sentiment and stock market return is positively and significantly related. The study concluded that investor sentiment has a positive and significant effect on stock market return in non-financial firms. These results imply that when investors are more optimistic about the market generating excess returns, their extreme optimism leads to more speculative activities that tempt them to invest even more. The study also shows that sentiment is relatively correlated with stock returns significantly over time. The study recommends that by taking the investor sentiment into account as a significant determinant of stock market volatility in asset price models, investors can enhance their stock returns. The results can inform on policymakers’ efforts to stabilize stock market volatility and uncertainty in order to protect investors’ wealth and attract more investors. Keywords: Investor Sentiment, Stock Market Return & Non-Financial Firms
Dimensional Tailoring Endows Tin Halide Perovskite Solar Cells with High Efficiency and Stability
Authors: Hao Feng
Published: August 2022

Tin halide perovskite solar cells (TPSCs) have been recognized as one of the most promising candidates for efficient and stable eco-friendly photovoltaic technology. The certified power conversion efficiency of TPSCs has been delivered to over 14% recently. Emerging low-dimensional tin halide perovskites such as Ruddlesden-Popper (RP), Dion−Jacobson (DJ), or 2D-3D perovskite structures have recently offered new approaches to stabilizing tin perovskite devices. Given the important role of low-dimensional tin perovskites, in this review, we focused on the dimensionality regulation in TPSCs to clarify the rule of performance and stability. We first discussed the structural flexibility and optoelectronic properties of tin halide perovskites. Moreover, the updated development along with the use of large organic spacer cations was assessed. Last, we reviewed the status of RP, DJ, 2D-3D mixed perovskites, and surface passivation strategy to boost the efficiency and operational stability of TPSCs, further highlighting the current challenges to enhancing these key performance metrics.
Исследование и выбор кристаллов корунда с различными активизирующими агентами для создания УФ детекторов длин волн 50–400 нм
Authors:   Институт прикладных проблем физики НАН Армении, Ереван, Армения, Мхитарян С. А. , Варданян Дж. Г. ,   Институт прикладных проблем физики НАН Армении, Ереван, Армения, Агаджанян Г. С. ,   Институт прикладных проблем физики НАН Армении, Ереван, Армения, Нерсисян М. Н. ,   Институт физических исследований НАН Армении, Аштарак, Армения, Мнацаканян А. Р. ,   Институт прикладных проблем физики НАН Армении, Ереван, Армения, Арутюнян A. П. ,   Институт прикладных проблем физики НАН Армении, Ереван, Армения, Оганнисян М. А. ,   Институт прикладных проблем физики НАН Армении, Ереван, Армения
Published: August 2022

Проведены исследования сцинтилляционных характеристик и оптических свойств кристаллов корунда с различными активизирующими агентами, на основе которых выбраны кристаллы с оптимальными параметрами для разработки и создания монокристаллических интегральных и матричных координатно-чувствительных широкополосных УФ детекторов в диапазоне 50–400 нм. При определенных частотах облучения кристаллов корунда с различными легирующими примесями, проведены спектральные измерения их люминесценции и поглощения и определены оптимальные составы и концентрации примесей. Исследованы также спектры поглощения некоторых выбранных образцов корунда в зависимости от условий термического отжига. Выявлены и разделены резонансные линии, соответствующие каждому конкретному легирующему элементу. Изучены роли легирующих примесей в формировании общего спектра поглощения и оценены возможности принудительного формирования желаемого спектра поглощения в диапазоне интересующих длин волн.
Financial Analysis and Net Profit Prediction about Shanghai Jahwa Corporation
Authors: Chen Tianyi
Published: August 2022

Implementing financial analysis by financial ratios is a reliable approach to comprehend a firm’s condition. Besides that, Dupont analysis is a way which regards return on equity as the core ratio of the system and decompose the core into an equation that consists of three other ratios. Forecast of net profit can assist investors in making investment decision. In this work, representative financial ratios are selected and divided into four groups that indicate four main abilities severally. Line charts are produced to show variation tendency of the enterprise’s four main abilities. Dupont analysis of the company is expressed by frame diagram and factor analysis is used to measure different ratios’ degree of influence on return on equity respectively. This research applies weighted average growth rate and average increment speed to increase rate’s calculation. After calculating, two results of predicted net profit are attained and compared with average predicted net profit of authorities. On the whole, Jahwa’ s condition worsened in the first three years, but it bottomed up and rose in the latest year. Net profit margin on sales is the main factor that cause return on equity’s rise through the latest two years while equity multiplier has no impact on its change. As for net profit forecast, using weighted average growth rate to calculate has closer result with authorities’ prediction than using average increment speeds.
Prediction of Carbon Financial Transaction Price Based on CEEMD Denoising and PSO-LSSVM——Take Guangdong Province as an example
Authors: Cai Yingshi , Yang Yizhou , Yang Guangye
Published: August 2022

Climate change has an unprecedented impact on the world, and it is also an important era proposition to be solved in China's development. Carbon emissions trading occupies an important position, which aims to adapt to the global carbon neutrality context and implement sustainable development requirements. The market mechanism of China is to deal with climate change, and carbon emissions trading occupies an important position. Based on the carbon emission trading price data of Guangdong Province from 2015 to 2021, this paper uses the contribution analysis model of complete ensemble empirical mode decomposition (CEEMD), and particle swarm optimization algorithm-least squares support vector machine (PSO-LSSVM) to predict the carbon price of Guangdong Province. Firstly, the carbon emission trading data of Guangdong Province are obtained. Based on CEEMD decomposition data, the data filtering and noise reduction are completed. The PSO-LSSVM model is used for iterative particles and obtains the optimal solution, and each component is predicted respectively. Finally, the results are integrated. The results are shown that: (1) CEEMD data decomposition noise reduction technology is used to improve the prediction accuracy of IMFs ; (2) The optimization of parameters in LSSVM modeling by PSO algorithm helps to select parameters more reasonably and avoids the randomness of artificial selection to some extent. The research results show that the decomposition ensemble prediction model applies to the carbon emission prediction in Guangdong Province. The good generalization ability of the model provides a more accurate prediction scheme for carbon price prediction in China.
The ESG index evaluation system for idol economy is constructed based on the two levels of companies and individuals and the correlation is verified
Authors: Li Hongyu , Yang Wenhui , Tang Sizhe , Yin Junye , Li Xinrui
Published: August 2022

This paper logically analyzes that the ESG evaluation results of film and television companies will affect the stock price performance of companies in the idol economy industry. On this basis, it further demonstrates the necessity of ESG evaluation system from the perspectives of the company and the company's product idol, and establishes evaluation indicators. On the one hand, from the perspective of idol companies, with the panel data of 7 companies from 2017 to 2020 as samples, the ridge regression model is constructed from two dimensions of qualitative and quantitative indicators, conventional evaluation direction and public opinion direction, to empirically verify the impact of ESG on ROE of idol economic companies. On the other hand, idol is taken as the research object, VAR model is established through data analysis, and SVM model is used to predict, demonstrating the effectiveness of establishing ESG evaluation system for idol products.
Daily Trading Decisions Based on Prediction and Optimization
Authors: Wang Lintian , Luo Xuexue , Song Tingxuan
Published: August 2022

With the continuous development of the social economy, people's disposable income continues to increase, and more and more families begin to enter the ranks of financial investment. In order to seek greater investment returns, it is necessary to formulate the best trading strategy. In this paper, BP neural network is used for price forecasting, and according to the principles of controlling risks and increasing returns, a daily transaction decision-making model based on forecasting, optimization and risk control is established to determine the optimal investment portfolio. And through the volatility assessment, the final decision on whether to buy or sell gold and bitcoin. At the same time, this paper establishes a trading strategy evaluation model based on Analytic Hierarchy Process (AHP) to evaluate three trading strategies. The analysis shows that the trading strategy evaluation model can serve as the basis for optimal strategy evaluation.
Measurement and Forecasting of China's Financial Stress Index in the A-E-G Coupling Perspective
Authors: Wang Baoqian , Xu Guangjie , Sun Siyi
Published: August 2022

After the outbreak of the global financial crisis in 2008, many scholars began to quantify financial risks and find alternative variables to reflect financial risks better. The financial stress index is a good alternative. In this paper, nine important factors of economic aggregate, economic benefit, and economic structure are selected to construct China's Financial Stress Index (CFSI). Then, the coupling identification of AHP and entropy weight method (A-E) is carried out, and the CFSI and its fluctuation are predicted by the grey dynamic prediction model GM(1, N). The results show that the CFSI constructed by a-E coupling weight can measure the pressure of China's financial system more accurately, and the CFSI is predicted to show A gentle decline trend from 2022 to 2024. Inspired by previous studies by scholars, this paper tries to construct and predict CFSI from the perspective of A-E-G coupling, combining subjective and objective, and hoping to open new ideas on CFSI construction and prediction.
Research on the new Keynesian and monetarist economists’ responses to the 2008 financial crisis in the USA
Authors: Chu Xuanle , Guo Chang , Liu Chang
Published: August 2022

This article’s main topic is How New Keynesian and monetary response to most countries’ business cycle recession. The purpose of choosing this topic is to study how new Keynesian and monetarist economists respond to the 2008 financial crisis in the USA by an easy way from definition-model-reality to analyze the question. Using a case study and comparative analysis, this paper research Model explanations of the Great Recession in different methods and causes of the great recession from 2007 to 2009. Moreover, this paper shows that the primary distinction between new Keynesian and monetarist approaches to the Great Recession is the use of the government budget and money supply. Finally, through the data and results this paper obtained, readers may have a clearer understanding of the practicability of these two theories so that they can make a better choice according to the real situation. In addition, it lets the readers understand the question and provide more research information for the researchers in the future.
Gold or Bitcoins based on ARIMA
Authors: Lv Haotian , Mou Yujie , Li Jiasheng
Published: August 2022

To be or not to be is the question that Hamlet thinks about day and night. Gold or Bitcoins is an inescapable choice for investors. With the ever rising and falling price of gold and bitcoin, making good trading decisions is of paramount importance. In this paper, we systematically investigate how data can be used to quantify the factors that influence trading and make the final decision. We build time series with the prices of gold and bitcoin for the past five years. We obtained forecast curves with excellent fit by seasonality analysis and ARIMA time series model forecasts.
Detection of Fake News Based on Typical Machine Learning Models
Authors: Yang Ruining
Published: August 2022

With the rapid expansion of the network, the glut of news spread everywhere. Because of the obscurity of news sources and the unrestricted types of viewers, the harmful impact of false news is more pervasive than ever before. The goal of this study is to evaluate the efficacy of five machine learning models, namely Decision Tree, Logistic Regression, Random Forest, Multilayer Perceptron (MLP) and Naive Bayes to detect false news using a dataset obtained from Kaggle. Following the application of five models for predicting false news based on the news' title and comparison of the training and testing accuracies of each model, the results indicate that Random Forest is the best model, with Decision Tree and MLP models also having very high testing accuracies. Surprisingly, the Naive Bayes model, widely recognized as the optimal classifier for text data, had the lowest testing accuracy in this study, implying that more research is required to explain this outcome. Finally, the limits of current machine learning algorithms, as well as the possibility of bias in datasets, provide a good direction for future studies.
Corporate Strategic Radicalization and the Quality of Analysts’ Forecasts: A Moderated Mediation Model
Authors: Mei Li
Published: August 2022

This paper examines the impact of corporate strategic radicalization on the quality of analysts’ forecasts and the moderating effect of the effectiveness of internal control by using the data of A-share listed companies from 2008 to 2018 in Shanghai and Shenzhen. The following research results were obtained: Both the error and dispersion of analysts’ forecasts are significant negative with the corporate strategic radicalization; A higher internal control quality can promote the role of strategic radicalization in improving the quality of analysts’ forecasts; The mechanism analysis shows that corporate performance may be a channel by which strategic radicalization works. Further, internal control quality also moderated the mediating effect of corporate performance in the relationship between strategic radicalization and the quality of analysts’ forecasts. The research results further enrich the existing literature on the impact of corporate strategy on analysts’ forecasts, which is conducive to alleviating the negative impact of analysts’ forecast bias.
Study for Suicide Phenomenon and Prevention in the US with Data Analysis
Authors: Chen Tianchong
Published: August 2022

Suicide is a global problem and the US has a very high suicide rate, it is a very serious social problem and the leading cause of death in the United States. To prevent further deterioration of the suicide problem, many scholars focus on suicide data for research, which is essential for current situation in US. Based on this limitation in the other research, in this project, an open suicide data set was used to analyse the characteristics of suicide groups and the methods of suicide. This study also used multiple linear regression modelling to analyse the reasons for their suicides with good accuracy. By analysing the data, the proposed methods can identify the groups that are more likely to commit suicide and the methods they prefer to use, as well as the reasons that lead them to commit suicide, and the certain recommendations were made to reduce the suicide rate. It can help people to understand suicide better and can help the government to give people better guidance and take appropriate preventive measures.
The US- China trade war: Causes and Effects
Authors: Tang Huangzhirou
Published: August 2022

This paper studies the US-China trade war currently being initiated by the US in early 2018 from a US standpoint. This paper starts by introducing the chronology of the trade war. With the findings, we attributed the causes of the US-China trade war to three main reasons: US intentions to reduce the trade deficit, block China’s access to core technologies, and close the government deficit gap. In contrast to President Trump’s optimistic expectation that the US would benefit, the trade war became a lose-lose game. The trade war's escalation, which included both additional tariffs and restrictions on the transfer of high-tech products, had a negative impact on domestic consumers, businesses, and employment, further slowing down the US economic growth.
Research on the Optimal Ordering and Shipping Scheme Based on TOPSIS and Objective Function Optimization Model
Authors: An Jiaran , Si Yuqing , Zhu Jingwen
Published: August 2022

The selection of different suppliers, different raw materials, and different transportation options all have an impact on costs, so it is important to measure and consider these factors to keep costs as low as possible. In this paper, we use the TOPSIS model to analyze the 240-week order quantity and the supplier's supply quantity to evaluate the supplier's fulfillment and to determine the most important supply for the optimal solution of material ordering and transportation. An objective function optimization model is applied to ensure that the inventory is kept at least two weeks to meet the production demand, so that the purchase price is the most economical, the depletion rate is the least, and the storage cost is the lowest, and finally the optimal ordering and transportation solution is programmed and analyzed.
Research the Impact of Rising Freight Rates on the Real Economy under COVID-19
Authors: Feng Yueqi
Published: August 2022

In the deep integration of global industrial and supply chains, COVID-19 has negatively impacted global flows of goods, people, and capital, resulting in disruptions to the global supply chain. The transportation industry plays a vital role in the real economy in contemporary society because most enterprises in the real economy are production-oriented. Most of them need to support their industrial chain through transportation. Since the lack of concern from society has contributed to the difficult development of these real economy enterprises, actions such as subsidies, controlling the freight rates, and other staff like that should be taken to prevent the economic crisis. This paper summarizes the phenomenon of rising freight rates and its impact on the real economy under the pandemic through data analysis and real-life example analysis. Moreover, through the conclusions drawn in the observation and understanding of the needs of entrepreneurs in real cases, some solutions have been developed to improve this problem.
PRIVACY PRESERVING PHOTO SHARING SCHEME ON ONLINE SOCIAL NETWORKS
Authors: Muthyalu P.
Published: August 2022

–Photograph sharing is an alluring component which advocates Online Social Networks (OSNs). Tragically, it might spill users'privacy assuming they are permitted to post, remark, and label a photograph unreservedly. In this paper, we endeavor to resolve this issue and study thescenario when a client shares a photograph containing people other than himself/herself (named co-photograph for short). To forestall possibleprivacy spillage of a photograph, we plan a component to empower every person in a photograph know about the posting movement and participatein the decision making on the photograph posting. For this reason, we really want a productive facial acknowledgment (FR) framework that can perceiveeverybody in the photograph. Nonetheless, really intense protection setting might restrict the quantity of the photographs freely accessible to prepare theFR framework. To manage this predicament, our component endeavors to use clients' private photographs to plan a customized FR systemspecifically prepared to separate conceivable photograph co-proprietors without releasing their security. We additionally create a dispersed consensusbased technique to lessen the computational intricacy and safeguard the private preparation set.Index Terms – photo privacy, online social network, facial recognition.
Decision Support System In Land Selection For Rubber Tree Planting Using The Moora Method
Authors: Eliza Amanda
Published: August 2022

Decision support system in the selection of land for rubber tree planting in order to minimize time and help PT. GERGAS UTAMA to determine quality land so as to increase rubber productivity. This method also has a good level of selectivity because it can determine the purpose of conflicting criteria. Where the criteria can be profitable (benefit) or unfavorable (cost). The selection of the right rubber area will certainly affect the production of rubber plants. In the process of selecting the right rubber area, of course, there are several criteria that will determine whether or not a land is suitable for producing rubber plantations such as temperature, rainfall, drainage, soil texture and so on. PT Gergas Utama has difficulty in the process of selecting this land because the selection process is still done manually which of course will take longer so that it becomes ineffective and affects the productivity of the rubber plant.Based on the description above, it is necessary to build a decision support system in the selection of land for rubber tree planting in order to minimize time and help PT Gergas Utama to determine quality land so as to increase rubber productivity. In the development of this decision support system, the MOORA (Multi-Objective Optimization by Ratio Analysis) method is used, which is a method that has a level of flexibility and ease of understanding in separating the subjective part of an evaluation process into decision weight criteria with several decision-making attributes. The program used in the development of the Decision Support System is PHP for a web-based system and MySQL as a database management system. The results ofthis program indicate that the Decision Support System for the selection of land for planting rubber trees can be utilized by PT. GERGAS UTAMA is the rubber plantation sector in selecting the best land for planting. The results of the ranking calculation from the MOORA (Multi-Objective Optimization by Ratio Analysis) method from a total of 10 rubber land planting locations with a value of 0.369, the result of the sum of the criteria weights being the highest. the best has the highest value of 0.369.
Bandwidth Management and Web Filtering with Per Connection Queue (PCQ) Method using Microtik
Authors: Budi Purnomo Siahaan  , Akim M.H Pardede  , Siswan Syahputra
Published: August 2022

Communication is a very important activity. Communication is carried out with the aim of exchanging information between several individuals. Communication can be done in various ways. Those who wish to communicate with each other can meet in person or through intermediaries. There are several types of media that function as intermediaries of information. You can use several media such as print media, electronic media, and online media to get various information. Digital communication in the modern era is not far from the Internet because almost all digital communication tools use the Internet. Internet needs vary greatly from old to young, because Internet needs are different, connection management is needed (Management Bandwidth) so that client requests with high connections do not interfere with clients with relatively low connection requests. One of the tools commonly used for connection management is MikroTik with the Peer Connection Queue (PCQ) feature. The reason for choosing Mikrotik is because Mikrotik has complete features at an affordable price. The importance of connection management is to maximize the connection provided by the ISP so that clients can use the Internet without buffering.
Grouping the Distribution of Diarrhea Based on the Public Health Centers in Binjai City Using the Clustering Method
Authors: Rika Hedy Anggraini Prastio  , Akim M.H Pardede  , Hermansyah Sembiring
Published: August 2022

Diarrhea is one of the endemic diseases that occurs throughout the year and is one of the highest causes of death for everyone, especially children under five in Indonesia. The purpose of this thesis is to analyze the spread of diarrheal disease by forming a grouping of the spread of diarrheal disease and to analyze the characteristics of the spread of diarrheal disease. With the development of technology that is increasingly sophisticated and easy to use, such technological developments motivate us to know the importance of using computers in fast and practical data processing. Clustering is a data analysis method, which is often included as one of the Data Mining methods, whose purpose is to group data with the same characteristics and data with different characteristics into others.
Production Track Balance Analysis Using The Moodie Young Method
Authors: Yudi Daeng Polewangi  , Sutrisno  , Susilawati
Published: August 2022

The purpose of this study was to find out the efficiency level of the production line by using the Moodie Young method. Where the method was used to determine the balance level of the production line consisted of 3 parts, namely: Line Efficiency, Balance Delay, and Smooth Index.The results showed that in the actual production line arrangement, there were 5 workstations with 7 work elements with Line Efficiency results of 40.29 %, Balance Delay of 59.70%, and Smoothness Index of 9578.22.
Utilization of Macromedia Flash Application Technology as Learning Media Development in Solving Islamic Religion Test Questions SPSS Data Processing
Authors: Wahyu Azhar Ritonga  , Ahmad Habin Sagala  , Syahrul Budiman  , Fauzi Ahmad Syawaluddin  , Syafaruddin
Published: August 2022

The use of Multimedia Technology in the development of learning innovations in the digital era shows that the use of macromedia flash applications is very influential on the interest and motivation of students in solving both practice questions and exam questions, this is because in addition to using computer tools, the scores we get are directly listed. after doing the questions. Based on the results of testing using the SPSS application related to learning media and motivation on student satisfaction with a large sample of 30 people, the results obtained F = 21,645 with sig 0.000 meaning that there is a significant influence with the use of multimedia on student satisfaction in the implementation of learning.
Coconut Wood Density Image Processing Techniques Based On Texture Image With Comparison Of Sobel Edge Detection Algorithm And Canny Edge Detection Algorithm
Authors: Aulia Annisa Br Bangun  , Achmad Fauzi  , Husnul Khair
Published: August 2022

Indonesia is the second largest country that has Cocos nucifera coconut trees, coconut wood has a strength that is not inferior to existing forest wood, other building elements and for mabel and building construction materials. Coconut wood also has unique fibers, so it has a high aesthetic value. The quality of coconut wood, namely strength and durability, is determined by many factors, one of which is the pattern of fiber density in coconut wood. How to find out the density of coconut wood digitally by detecting the outer patch of coconut wood using a computer so that it can make it easier and help determine the image of quality coconut wood. To determine the quality of coconut wood by looking at the fiber density by reducing noise before calculating the edge detection so that more edges are produced. By checking the numbers if the value of the number >= 128 then the binary value given is 1, if the value of the number < 128 then the binary value given is 0, then the binary value given for the numbers 12,12,10 is 0,0,0. And By checking the numbers if the value of the number >= 128 then the binary value given is 1, if the value of the number < 128 then the binary value given is 0, then the binary value given for the numbers 12,29,-28 is ,0,0, 0.
The Effect Of Progressive Muscle Relaxation Exercise And Diaphragmatic Breath On Quality Of Life In Diabetes Mellitus Patients
Authors: Sukma Wicaturatmashudi  , Ismar Agustin  , Prahardian Putri
Published: August 2022

Diabetes Mellitus is a metabolic disease that has an impact on almost all organ systems of the body. The risk of complications and the long treatment period and even a lifetime is one of the triggers for the worsening quality of life. This study aims to determine the effect of a combination of progressive muscle relaxation exercises and diaphragmatic breathing exercises on the quality of life in Diabetes Mellitus patients at Siti Khadijah Islamic Hospital Palembang. The design of this study was a quasi-experimental pre post test with control group. The population in this study were all patients with diabetes mellitus at the Siti Khadijah Islamic Hospital in Palembang. Data analysis was performed with univariate and bivariate. Bivariate analysis using t test dependent and independent t test. The results showed that there was a significant difference in the mean quality of life before and after the treatment of progressive muscle relaxation exercise and diaphragmatic breathing exercise (p value = 0.014) and there was a significant effect of progressive muscle relaxation exercise and diaphragmatic breathing exercise on the quality of life value (p value = 0.005). Based on the results of the study, it is recommended to implement progressive muscle relaxation exercises and diaphragmatic breathing exercises in patients with Diabetes Mellitus on a regular and continuous basis.
Design Of Automatic Hand Sanitizer Spray System Based On Arduino Uno Using Fuzzy Logic Method
Authors: Firhan Ali  , Husnul Khair  , Imeldawaty Gultom
Published: August 2022

Washing hands is the act of cleaning like fingers to wrists using water or other liquids. Hand sanitizer with a minimum alcohol content of 60% is believed to be effective for killing germs and other harmful microorganisms because hands are one part of the body that often interacts such as touching and can be a medium for the spread of viruses, germs and bacteria. The manufacture of tools is carried out as one of the efforts in advancing technology to provide convenience and comfort through the development of an automatic system for hand sanitizer containers. From the above problems an Arduino based automatic hand sanitizer system was created. This system works directly to be able to spray liquid automatically. This system is expected to make it easier for users to spray liquids without having to do it manually or touching the container directly to maximize time efficiency and keep it clean. By designing a prototype to make this automatic hand sanitizer using an ultrasonic sensor as input, Arduino Uno Atmega328p as a microcontroller, and a servo motor as a driver for the hand sanitizer container. The system on the tool to be made is capable of spraying liquid automatically at a maximum distance of 10 centimeters.
Counseling About Menopause Complaints in Simbolon Village, Padang Bolak District, Padang Lawas Utara Regency Year 2022
Authors: Harahap Ica Fauziah , Ratna Wulandari  , Yeni Zahara  , Melia Sintia Mutiara Pohan
Published: August 2022

Menopause is phase final where A woman's menstrual bleeding stops completely. syndrome menopause experienced by many woman almost in whole world. Women who will experience menopause will experience symptoms or signs such as depressed mood, anxiety, decreased well-being and sleep disturbances. Factors causing menopause are caused by changes in the production of the hormones estrogen and progesterone, age at menarche , parity and contraception. The purpose of this study was to determine the knowledge of women about menopause complaints in Simbolon Village. This type of research is quantitative in nature by using a descriptive research design . The population in this study were all women aged 45-55 years who live in Simbolon Village totaling 56 people with a total sampling technique, where the entire population was used as the research sample. The results of the study showed that the majority of respondents had sufficient knowledge about menopause complaints as many as 22 people (39.3%) and a minority of less knowledge as many as 16 people (28.6%). It is expected that respondents to actively seek information about complaints during menopause.