bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Biochar on the Stability of Soil Organic Carbon in the Context of Global Warming
Authors: Yuan Yifei
Published: April 2023

Since the industrial revolution, the mean global temperature has increased by more than 0.6°C, and this has led to serious ecoenvironmental problems, such as melting ice sheets, retreating glaciers, species extinction and extreme weather-climate events, which have substantially affected human social life. The issue of how to reduce global warming has become a worldwide concern. Soil is one of the primary carbon emission sources, and maintaining the stability of soil organic carbon (SOC) plays a crucial part in reducing soil carbon emission. Soil-biochar has great potential as a natural carbon sequestration solution. Biochar produces positive/negative stimulation effects on soil organic carbon when applied to soil. In this review, the direct and indirect effects of biochar on the soil environment are described, with a focus on priming effects and influencing factors of biochar. In terms of direct effects, biochar and its surface dissolved organic carbon can directly replenish the organic carbon source required by the soil carbon cycle. In terms of indirect effects, biochar can influence SOC mineralization by affecting the species, number, and activity of microorganisms in soil. Soil properties, vegetation type, biochar raw material, and pyrolysis temperature as well as their aging effects are the key factors affecting soil-biochar carbon sequestration. This review will contribute to the understanding of the contribution of biochar to the reduction of soil emissions.
Effects of Pesticides on Asthma
Authors: Lyu Difei
Published: April 2023

It is very necessary to apply pesticides to crops in today's world, given the level of scientific development, so that we can be successfully protected from pests. However, pesticides are a double-edged sword that may both save our lives and take them at the same time. This is especially true when considering the adverse effects that organophosphorus and carbamate pesticides can have on asthma sufferers. Once we have a better understanding of what causes disease, we will be able to develop more effective treatments. For instance, in the not-too-distant future, we may be able to develop medications that can dilute organophosphorus before it has an adverse effect on acetylcholinesterase. In this study, case analysis was used to determine the hypothesis directly through a study, and then to find evidence to analyze and confirm the hypothesis, which is that organophosphorus pesticides can inhibit acetylcholinesterase, thereby causing bronchospasm and triggering asthma. This hypothesis was confirmed by finding evidence that organophosphorus pesticides can inhibit acetylcholinesterase. At the end of this paper, through the course of the study, we arrived at the conclusion that organophosphorus pesticides can block acetylcholinesterase. Therefore, what we need to do is avoid exposing asthma patients to pesticides that include organophosphorus. The findings of this study point the way in the path that the future production of related drunk protection should take. Patients should take precautions against exposure to organophosphorus pesticides by avoiding agricultural land that has been irrigated with these chemicals and thoroughly washing any clothing or produce that has come into possible contact with these chemicals.
A method with safety and convenience to synthesize Regorafenib
Authors: Li Ruizhe , Peng Guanlin
Published: April 2023

To date, three methods have been developed to synthesize Regorafenib, a drug which can effectively cure colorectal cancer. However, all of them have drawbacks: some are complicated to obtain due to the high requirements the drugs need. And some even contain dangerous processes or poisonous drugs that are difficult to store. Also, there is a way that contains a lot of by-products, which makes extracting Regorafenib very difficult. In this essay, one of the synthetic routes and the data from the experiment will be used to test whether it works. Furthermore, the selected route was improved. Here, the best base on the reaction is t-BuOK; 1.1 eq of potassium tert-butoxide was preferred; the most appropriate temperature is 100°C; the ZA1 and SM3 feeding ratio is preferably 1.10 eq; the reaction time can be chosen 3-7 h.
Differential Expression Factors in Radiation Induced Lung Injury and Immune Checkpoint Inhibitor associated Pneumonia in Lung Cancer
Authors: Guo Yuyan , Wu Yangxiaolong
Published: April 2023

Radiotherapy and immune checkpoint inhibitors (ICIs) are both important treatments for lung cancer patients. However, radiation induced lung injury (RILI) and immune checkpoint inhibitor associated pneumonia (CIP) are severe dose-limited pulmonary inflammation. The prediction or early diagnosis of them can help improve the therapeutic effect and avoid lung injury, thus improve the quality of life (QOL) for patients with lung cancer. This study obtained datasets GSE41789 and GSE184000 from National Center for Biotechnology Information (NCBI), Gene Expression Omnibus (GEO). Using DEseq2 in R packages to analysis differential gene expression (DEGs). T-test and Fold Change were used to screen DEGs. By comparing the differential expressed genes between the two datasets, the contemporary DEGs were elected and analyzed. Four DEGs in both RILI high risk group and CIP high risk group were identified, including PER3, DBP, CXCL5 and SPON2, indicated that these gene may be potential biomarkers for RILI and CIP, during the radiation an ICIs treatment process. Molecular and clinical experiments will be conducted in the next stage to verify the results.
Prevention of Cardiovascular and Cerebrovascular Diseases in the Elderly based on Smart Senior Care Healthy Monitoring
Authors: Fan Xiaorui
Published: April 2023

With the deepening of social aging and the high mortality rate of cardiovascular and cerebrovascular diseases in China, a smart senior care health monitoring model is adopted to monitor the health of the elderly in real-time, to achieve the effect of preventing cardiovascular and cerebrovascular diseases in the elderly. The study sample consisted of a key community monitoring population in Xintang Town, Zengcheng District, Guangzhou who participated in at least two annual medical examinations under the National Basic Public Health Service Program between January 2020 and July 2021. The study includes two sets of controlled trials, and statistical analysis is conducted using two independent samples t-tests, Mann-Whitney U-test, Pearson chi-square test or Fisher's exact probability method, paired t-test, analysis of covariance, and multifactor linear regression model. A smart health-based monitoring approach for elderly individuals was connected with a decrease in systolic blood pressure (P=0.000). Smart senior care health monitoring aids in the prevention of cardiovascular disease in the elderly.
The Impact of the COVID-19 Pandemic on China's Economic Structure the Stay-at-Home Economy
Authors: Wei Haoqi
Published: April 2023

The impact of the new coronavirus outbreak on China's industrial economy is enormous. the outbreak of the new coronavirus at the end of 2019 coinciding with the Chinese New Year interrupted the current economic development plan of China. It also had an impact on the macroeconomic, meso-industrial and micro-individual development. To solve the current development problems and to avoid the phenomenon of economic cliff, which is the main policy choice of the grassroots industrial organizations and related departments at this stage. This paper analyzes the impact of the new coronary pneumonia on China's economy, compares the online consumption before and after the epidemic, theorizes the "home economy" under the epidemic, and explores the relevant countermeasures after the epidemic, in order to boost market confidence, support steady economic growth, and lay a solid economic foundation for the country to achieve the general tone of "seeking progress while maintaining stability". In this way, this paper can boost market confidence, support steady economic growth, and lay a solid economic foundation for the country to achieve the general keynote of seeking progress while maintaining stability.
The Emerging Landscape and Application of Protein Sequencing
Authors: Xu Hao
Published: April 2023

Proteins play an indispensable role in all cells and tissues in all living creatures especially the human body. To determine the protein primary structure, also known as protein sequencing, is an important subject in life science and medicine. Scientists have tried chemical reactions such as Edman degradation, as well as instrument analysis like mass spectrometry. These mainstream methods can effectively determine the sequence of protein and are widely used. On the other hand, the new method like nanopore sequencing shows the single molecule level sequencing sensitivity and has great emerging landscape. The development of protein sequencing technology will help people better understand the laws of life activities and achieve early diagnosis and precise treatment of diseases. This paper will briefly summarize the traditional protein sequencing methods, focus on the introduction of the new generation of sequencing technology represented by nanopore sequencing. Meanwhile, after comparing those advantages and disadvantages, its future research direction could be found. More cheap, high-throughput and highly sensitive protein sequencing methods and instruments will be discovered and popularized in the near future.
Response of Radial Growth of Mongolian Pine to Climate Factors in Mu Us Sandy Land, Inner Mongolia
Authors: Siqing Bilige , Yu Jian , Liu Liping , Qi Kai , Gexi Getu , Liu Qijing
Published: April 2023

The Mu Us sandy land is located on the northwestern edge of the East Asian monsoon region in China, and its environment is fragile and sensitive to climate change. To explore the response of the radial growth of Mongolian pine (Pinus sylvestris var. mongolica), the main afforestation tree species in this area, to climate change, a traditional method of tree-ring climatology was adopted to analyze the correlation of radial growth to climatic factors in the region from 1959 to 2019 based on annual ring widths of Mongolian pine. The results showed that water and heat conditions in May of the current year were the main climatic factors restricting the growth of this tree species in the Mu Us sandy land, mainly manifested as a negative correlation with the average temperature and maximum temperature in May of the current year, while a positive correlation with precipitation in this month. In addition, the average temperature and minimum temperature in March of the current year are also restricted to tree growth. Mongolian pine is one of the excellent tree species suitable for desertification control and afforestation in the Mu Us sandy land. Under the background of the changing climate, becoming warmer and drier, the effect of drought stress on the radial growth of Mongolian pine will become more and more prominent. If the temperature continues to increase in the future, the radial growth and carbon sequestration of Mongolian pine in Mu Us sandy land will be severely affected.
Forest management system based on carbon sequestration
Authors: Zhang Shaopu , Jiang Yuxin , Gu Jiangxu
Published: April 2023

It is a new challenge for forest managers to balance the relationship between the forest and its derivatives to maximize the overall benefits of the forest. Based on the growth pattern of trees and statistical theory, we developed a carbon sequestration model with a normal distribution at different ages of the forest and derived the amount of carbon sequestered by the forest and its products in a certain period of time. In order to balance the ecological and social values of the forest, we firstly selected 12 indicators from three aspects: climate benefit, ecological benefit and social benefit to build a forest decision model. Secondly, the original indicators were downscaled to three principal components by cluster analysis and principal component analysis and the benefit scores were obtained for each year. Finally, a linear fitting method was used to derive the relationship between the forest area and the composite score.
Electrochromic properties of methylol modified poly (3, 4-propylenedioxythiophene) and its copolymer with poly (3, 4-ethylenedioxythiophene)
Authors: Niu Junlong , Wang Yi , Jia Chunyang
Published: April 2023

A functionalized monomer (3, 4-dihydro-2H-thieno [3, 4-b] [1, 4] dioxepin-3-yl) methanol (ProDTM) was synthesized in one step and corresponding polymer PProDTM and copolymer of ProDTM-EDOT films were obtained by electrochemical deposition. Both PProDTM and copolymer films shown light blue in the oxidized state, while in the reduced state PProDTM and copolymer films shown purple and dark blue, respectively. The optical contrast of PProDTM and copolymer films reached 43.6% and 27.7%. In addition, the coloration efficiency of PProDTM and copolymer films reached 91.3 and 107.8 cm2C-1. The results of electrochemical and electrochromic property shown that the PProDTM and copolymer films potential application in electrochromic field.
Facial Expressions Recognitions with Supervised Contrastive Learning
Authors: Wang Xiaotian
Published: April 2023

Facial expressions are significant ways that humans express and perceive emotions. Facial Expression Recognition (FER) can be challenging in computer vision since facial expressions tend to be different among individuals. Researchers have introduced many outstanding methodologies and approaches to achieve the best performance in classifying and identifying emotions based on images of facial expressions. Supervised Contrastive Learning (SCL), outperforming supervised learning with cross-entropy loss, has gained much attention due to its recent performance in computer vision. In this work, we extended traditional approaches to common cross entropy loss and made approaches of contrastive learning to tackle the issue. Specifically, the frameworks in this work focus on the performance of cross entropy loss and supervised contrastive loss on the FER-2013 dataset. The result showed that supervised contrastive loss substantially improved accuracy by about 2% to 6% for ResNet architectures.
ML Classification Methods Comparison for Breast Cancer Diagnosis in Clinical Application Field
Authors: Lin Yuyan
Published: April 2023

With the development of computing resources, deep learning method has made great progress in the field of image recognition. And as a result, deep learning-based image detection methods have been able to make great breakthroughs in medical fields such as disease recognition, microbiological testing, bacterial quantification, and tumour detection. With the advancement of in the ML field, the computer-aid diagnosis system has been improving. This paper reviews basic CAD ML system, and the recently improved DL system. In general, both methods offer the ability to assist the medical expert in giving them opinions. Deep learning, on the other hand, shows promising improvement in breast cancer diagnosis, but still with some limitations, such as requirement of high computational power and cost, as well as data scarcity. The accuracy rate of DL can reach up to 97%, which is the best in the field.  Thus, both effectively reduce false positive rate of detecting breast cancer, improving the performance for detection and diagnosis.
White Wine Quality Prediction and Feature Importance Analysis Based on Chemical Composition and Machine Learning Models
Authors: Yan Jialiang
Published: April 2023

Consumers tends to purchase white wines based only on their taste and price due to the difficulty of studying the composition of white wine. Popular classifications of white wines are usually depending on some easily understandable aspects such as carbon dioxide pressure and grape harvest time. A detailed way to classify the quality of the white wines is needed for both the consumers and the market regulators. In this research, a white wine dataset with 11 parameters and a final quality value is being used to train the machine learning models for future prediction. To avoid extreme values influencing the dataset, this paper used the Interquartile Range method to remove the outliers. After processing the data, six machine learning models were applied to the dataset to test the initial accuracies of the models. The Random Forest had the best accuracy among all the models. Then the focus of the research turned into the feature importance of the Decision Tree and Random Forest methods. The project found out that it is possible to remove one of the parameters from two parameters that have similar importance while maintaining almost the same model accuracy. Both models’ parameter number were reduced to nine instead of 11 at the cost of less than 3% of accuracy. This provides people a useful way to make their analyzing processes easier in machine learning research.
Advanced Deep Learning Approaches for Hate Speech Detection
Authors: Wang Qizheng
Published: April 2023

At present, the influence of social networks on a global scale is increasing, the number of users is increasing significantly, and massive amounts of information are being created every day. How to automatically and efficiently identify harmful information, especially hate speech, has become an important issue in the governance of the network environment. In order to improve the screening efficiency of information containing hate speech, deep learning is applied in this field. Although the research work around this task has made great progress, there are very few reviews on this task, lack of a comprehensive review of the latest development in recent years and can not provide help for researchers who are interested in this task. Therefore, we give an overview of the deep learning applied in hate speech, introducing new ideas for solving this task in recent years, and propose potential problems in the task and analyze it.
Machine Learning on Wine Quality: Prediction and Feature Importance Analysis
Authors: Xie Quanyue
Published: April 2023

Recently, wine has become a common drink in most people's homes, but most people have different opinions on the evaluation of wine quality. Artificial intelligence can provide a relatively fair assessment and help practitioners focus on certain features to improve wine quality. This study uses decision trees and random forests to learn and predict on wine datasets and investigate feature importance to derive the features that have the greatest impact on wine quality. First of all, this study deals with the original data reasonably, and uses the IQR method to remove some outliers, specifically the data of the first 0.09 and the last 0.09. Second, since the correlation between the two features of density and residual sugar is as high as 0.84, this study removes density to improve the final prediction accuracy. When using both the decision tree and random forest models, the parameters are debugged multiple times in this study, and the three results are retained in this paper. Finally, on the basis of random forest, this study analyses feature importance, and draws a bar graph and the ranking order of different feature importance. In the final result, the prediction accuracy of random forest is relatively higher than that of decision tree, because the random forest model optimizes the decision tree to some extent. In the study on feature importance, alcohol has the greatest impact on the quality of white wine, while the smallest feature is citric acid. This study adjusts the original data set and compares the accuracy of different models, focusing on the importance of features based on the random forest model.
Process optimization of C4 olefins by ethanol coupling based on BP neural network and genetic algorithm
Authors: Yu Jiawei , Sun Wenxin , Qiu Pengxu
Published: April 2023

C4 olefins are widely used in chemical production, and the preparation of C4 olefins by ethanol coupling is one of the important methods to obtain this raw material, so it is important to study the process conditions for the preparation of C4 olefins. In this paper, we analyze and discuss the correlation between catalyst combination and temperature on ethanol conversion and C4 olefin selectivity based on the experimental data collected from laboratory preparation, and explore the reasonable catalyst combination scheme and temperature selection in order to achieve the optimization of preparation efficiency. Further investigation of the preparation process to obtain the optimum yield is also carried out based on the error of the validation results.
Glass Cultural Relic Classification Based on Random Forest and Robust K-Means Algorithm
Authors: Wang Yifei , Jiang Fuyu , He Dongyang
Published: April 2023

The ancient glass relics have weathered to a certain extent under the influence of the environment, and there is a certain degree of chemical exchange between the glass relics and the external environment, which interferes with the classification of the glass relics. In order to better study the classification of glass relics. In this paper, the random forest algorithm is firstly used to determine the characteristic importance of various chemical components in high potassium glass and lead barium glass, and some chemical substances are sorted out, and then their classification rules are analyzed according to the selected chemical substances. Then, the elbow method was used to determine the number of two kinds of glass subclasses into 3 categories, and then the robust K-Means algorithm was used to divide the subclasses, and the characteristics of each subclass were analyzed and studied. Finally, the standardized mutual information NMI value was used to analyze the sensitivity, and the logic theory and classification results were used to evaluate the model.
Glass Classification Method Based on K-Means++ Algorithm
Authors: Chen Yuhao , Ji Kun
Published: April 2023

Ancient glass is highly susceptible to weathering by the influence of the buried environment, resulting in changes in the proportion of its components. In order to select the appropriate chemical components for each category and divide them into subclasses, and give specific classification methods and classification results, this paper considers first using the K-means++ algorithm for clustering, and calculating the aggregation coefficient of each k value to determine the number of clusters. The three-level nomenclature is used to name each type according to the amount of chemical component content contained in each category, lists its division basis and the names of each type of high potassium glass and lead barium glass, and then conducts rationality analysis, uses the contour coefficient to evaluate the quality of the cluster, and concludes that the number of clusters of high potassium glass and lead barium glass is 3 and 5 respectively. Finally, sensitivity analysis is performed on the aggregation coefficients.
Il Gran Sottisier. Mirabilia, falsi e plagi nel giornalismo letterario di Giovanni Pellegrino Dandi
Authors: Narros Jacopo
Published: April 2023

Giovanni Pellegrino Dandi (1664-1726 c.), abate, giornalista, poligrafo, nelle colonne dei vari periodici letterari da lui promossi nella sua frenetica carriera ha fatto risuonare le voci principali dell’erudizione di fine Seicento e inizio Settecento, attirando l’attenzione di alcuni degli intellettuali di spicco del suo tempo, da Lodovico Antonio Muratori ad Antonio Vallisneri. Le pubblicazioni di Dandi – a partire dal «Gran Giornale de’ Letterati» (1701-1704) – rimediavano a un’effettiva lacuna della coeva divulgazione culturale a stampa, ma erano il più delle volte confezionate rubando scritti già usciti in precedenza e ormai dimenticati dai lettori. Jacopo Narros ripercorre con grande capacità narrativa la disinvoltura editoriale di questo singolare e a lungo dimenticato letterato e, ricorrendo a molti documenti, ne delinea la figura di falsario e plagiario. Nello stesso tempo, ponendo il «gran sottisier» in rapporto con la comunità intellettuale sei-settecentesca, traccia il quadro di una cultura in movimento, nella quale altri letterati – tra i primi Apostolo Zeno e Scipione Maffei – erano impegnati a creare nuovi e più fondati strumenti per trasmettere ai lettori una innovativa informazione scientifica e letteraria.
GIÁ TRỊ VĂN HÓA CỦA CÁC DÒNG HỌ GỐC CHĂM TẠI ĐÀ NẴNG (NGHIÊN CỨU TRƯỜNG HỢP DÒNG HỌ CHẾ VĂN, PHƯỜNG BÌNH HIÊN, QUẬN HẢI CHÂU)
Authors: Tăng Chánh Tín
Published: April 2023

Bên cạnh diện mạo của một thành phố trẻ, năng động ở ven biển miền Trung Việt Nam; thành phố Đà Nẵng còn được biết đến như một mảnh đất “đầu biển, cuối sông”, chứng kiến nhiều sự kiện quan trọng trong lịch sử dân tộc. Với vị trí địa lý đặc biệt cùng sự lắng đọng các trầm tích văn hóa, Đà Nẵng đã ghi đậm dấu ấn của mình trong hành trình dựng nước và giữ nước của cha ông. Trước khi trở thành một phần lãnh thổ của Đại Việt, vùng đất Đà Nẵng ngày nay từng thuộc về vương quốc Chămpa. Thời gian qua đi, những dấu ấn văn hóa Chăm trên mảnh đất này đã có sự hòa quyện, giao thoa và tiếp biến cùng văn hóa Việt để trở thành nét đặc trưng trong văn hóa xứ Quảng nói chung và Đà Nẵng nói riêng. Một trong những đặc trưng đó là sự tồn tại của các dòng họ người Việt gốc Chăm tại Đà Nẵng. Qua khảo sát trường hợp dòng họ Chế Văn tại phường Bình Hiên, quận Hải Châu, thành phố Đà Nẵng; bài viết này sẽ góp phần làm rõ những giá trị văn hóa độc đáo của các dòng họ gốc Chăm tại thành phố này.
ASSESSING THE AESTHETIC CREATIVE CAPACITY OF STUDENTS IN LEARNING PROJECTS AT HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
Authors: Đặng Thị Minh Tuan , Linh  , Luong
Published: April 2023

The development, expansion of exchange and integration relations in all fields such as economy, culture, science, education... has had a significant impact on the value system of society, in which have aesthetic values. Before that situation, the Document of the 9th Conference of the Central Committee of the 11th  term affirmed: Currently, the issue of building, preserving and promoting a good value system of aesthetic tastes in the process of construction Vietnamese people to develop comprehensively and a new advanced culture imbued with national identity becomes urgent. Studying the change of the value system in Vietnamese culture through the study of art, aesthetic tastes and aesthetic education has both theoretical and practical significance. This article evaluates the current situation of students' aesthetic creativity through learning projects at HCM City University of Technology and Education.
TÌNH HÌNH NGHIÊN CỨU VỀ TÍN NGƯỠNG THỜ CÚNG TỔ TIÊN CỦA NGƯỜI TÀY Ở VÙNG ĐÔNG BẮC VIỆT NAM HIỆN NAY
Authors: Hứa Đức Hội
Published: April 2023

Tín ngưỡng thờ cúng tổ tiên là một hiện tượng văn hóa tâm linh có vai trò quan trọng trong đời sống văn hóa của người Tày ở vùng đông bắc Việt Nam hiện nay. Ở đó ẩn chứa nhiều giá trị văn hóa của gia đình, dòng họ; biểu hiện niềm tin của cộng đồng ấy. Bài viết nhằm làm rõ những vấn đề nghiên cứu đã đạt được ở góc độ dân tộc học, văn hoá học…; những vẫn đề cần tiếp tục nghiên cứu ở góc độ triết học. Từ đó góp phần cơ sở lý luận và thực tiễn xây dựng quan điểm, đường lối, chính sách của Đảng, pháp luật của Nhà nước đối với vấn đề tín ngưỡng, tôn giáo, dân tộc; đề xuất gìn giữ, bảo tồn, phát huy bản sắc văn hoá dân tộc Tày hiện nay.
Blogging as a Learning Tool: A Study of Writing Gains in an EFL Setting
Authors: Aljafen Bandar Saleh
Published: April 2023

Technology in the classroom today offers novel ways for enhancing the learning experience in ways that also engage the learners. This study aims to evaluate the efficacy of Blog writing in engaging and motivating Saudi EFL learners in the writing class to boost their writing output. The participants are 12 EFL learners at Qassim University, Saudi Arabia, who undertake a blog writing five-week support exercise. The instruments of data collection are pre and post-tests, writing evaluation, and interviews. Results of the paired sample-t test indicated that there is a significantly large difference between before (M = 2.04) and after (M = 3, 0.5), p =.032 phases of testing due to the five-week blogging intervention, with organization of ideas being the faculty most developed at the end of the experiment, followed by presentation, vocabulary, grammar, content, context, and audience appropriacy. Interviews reveal learners’ enhanced engagement and motivation after the intervention. The study concludes with recommendations that will be useful for teachers, curriculum planners, and learners.
Determination of the Specific Heat Flux During Boiling of the Dispersed Phase of the Emulsion
Authors: Pavlenkо Anatoliy , Koshlak Hanna , Basok Borys , Hrabova Tatiana
Published: April 2023

The intensity of heat exchange between the boiling emulsion and the enclosing surfaces is associated with the physical phenomena of the formation, growth, and destruction of vapour bubbles of the low-boiling component in the liquid phase. This article presents a methodology to assess the intensity of heat exchange processes. Using this technique, it is possible to predict the energy parameters of heat exchange equipment and the degree of intensification of heat transfer processes.
Optimisation of the Aerodynamic Characteristics of H-Darrieus Vertical-axis Wind Turbines
Authors: Pavlenkо Anatoliy , Koshlak Hanna , Basok Borys , Novikov Volodymyr
Published: April 2023

This article presents a study of the aerodynamic characteristics of a small H-Darrieus wind turbine to optimise its design. The article proposes correlations between the blades' geometric and aerodynamic characteristics, optimising the blades' profile and their dimensions for various values of wind speed, aerodynamic forces, and rotational moments. The data obtained can be helpful in the design and study of low-power wind turbines operating at low wind speeds with variable directions.
APLICAÇÃO DA DESIGN SCIENCE RESEARCH PARA CONSTRUÇÃO DE UM MÉTODO DE PLANEJAMENTO ESTRATÉGICO ORIENTADO PARA AS EMPRESAS JUNIORES
Authors: De Andrade Amanda Ferreira Aboud , Trigo Miguel Rombert
Published: April 2023

Proposição de um modelo de planejamento estratégico para empresas juniores a partir da aplicação da Design Science Research. As empresas juniores (EJs) – que são as organizações criadas pelos alunos, no âmbito das instituições de ensino superior, para experimentarem realidades de mercado e de atuação na área profissional de formação – sofrem com problemas de continuidade de desempenho e aplicação de um planejamento estratégico eficaz. Assim, tem-se como objetivo desenvolver um método de planejamento estratégico que permita um melhor funcionamento dos pequenos negócios, com foco nas empresas juniores. Para tanto, a DSR foi utilizada como metodologia de pesquisa própria para solução de problemas no contexto das organizações (ciências artificiais). Trata-se de uma pesquisa qualitativa e exploratória, que buscou a construção de um modelo de aplicação através da pesquisa aplicada, a partir de casos múltiplos, seguindo o projeto da DSR. O resultado foi a criação de um conjunto de frameworks para planejamento estratégico de pequenos negócios, sendo o principal produto o Canvas Estratégico, através do qual o pequeno negócio pode organizar planos de ciclos rápidos e visualizar suas ações, acompanhado do modelo de plano de sucessão e do sistema de gestão do conhecimento com foco no desenvolvimento da Inteligência de Negócio.
RELAÇÕES INTERGERACIONAIS NA EDUCAÇÃO DE JOVENS E ADULTOS: RELATO DE UMA EXPERIÊNCIA COM UM PROJETO INCLUSIVO DE MATEMÁTICA
Authors: Jean Evren Ney da Silva , Nascimento Greicy Oliveira , Ghedin Evandro Luiz
Published: April 2023

O presente relato de experiência visa apresentar os resultados de um projeto de matemática desenvolvido com estudantes da Educação de Jovens e Adultos de uma escola pública no município de Itacoatiara no estado do Amazonas, cujo os resultados foram apresentados na I Feira Amazonense de Matemática, na categoria Escolas Públicas de Educação Inclusiva, modalidade EJA. O projeto teve como objetivo investigar o processo teórico-metodológico para o cálculo matemático utilizado pelos estudantes em suas atividades profissionais na construção civil, realizando observações e comparações entre os métodos usados na sua profissão e os utilizados nas aulas de matemática. A metodologia usada foi a pesquisa qualitativa, tendo como percurso investigativo a pesquisa de campo que possibilitou a compreensão das atividades profissionais dos alunos por meio das aulas de matemática. Os resultados alcançados exigiram do pesquisador e dos colaboradores um estudo interdisciplinar no processo de ensino-aprendizagem da matemática que pôde aproximar a comunidade escolar desse conhecimento por meio das experiências intergeracionais dos estudantes da Educação de Jovens e Adultos.
PANORAMA EPIDEMIOLÓGICO DOS CASOS DE TUBERCULOSE ASSOCIADOS AO TABAGISMO NO BRASIL NO PERÍODO DE 2017 A 2021
Authors: Cavalcanti Lívia Ayres de Miranda , Alves Junior Roberto Carlos de Sousa , Barradas João Vicente Vieira Soares , Reis Renandro de Carvalho , Silva Nickolle Beckman Oliveira Lopes , Lima Lethícia de Melo , Manganeli Júlia de Santis , Vieira Gabrielly Azevedo
Published: April 2023

A tuberculose é uma doença infecto-contagiosa causada pelo Mycobacterium tuberculosis, cuja transmissão depende de gotículas de aerossóis liberadas pelo infectado. Somando-se a isso, fumar configura-se como importante fator de risco evitável para a tuberculose, podendo aumentar em 9 vezes o risco de morte por essa doença em relação aos não tabagistas.
Early Disaster Recovery Strategy: The Missing Link in Post-Disaster Implementation in Indonesia
Authors: Herlianto Medi
Published: April 2023

Indonesia is a region that is prone to various types of disasters such as earthquakes, volcanic eruptions, tsunamis, rain fires, landslides and floods. As a country prone to natural disasters, Indonesia must have a disaster emergency response management with a clear concept of early recovery because Law No. 24 of 2007 and Government Regulation No. 21 of 2008 are not strictly regulated. This study aims to analyze post-disaster early recovery strategies which are the missing link in post-disaster implementation in Indonesia. This study uses a qualitative approach with the Miles & Huberman Interactive Analysis Model research method. 1992, where in this study the data analysis was carried out simultaneously with the data collection process and the flow of analysis followed an interactive analysis model. The results of the study show that the implementation of early disaster recovery in Indonesia does not yet have a clear legal umbrella and generally early recovery options are focused on recovering physical assets and ignoring traumatic recovery. The main activities of early recovery mainly only provide shelters for victims of damaged houses but other actions and activities towards humanitarian recovery have not been carried out optimally.
Pengembangan Sistem Informasi Wisuda berbasis Web menggunakan Model MVC
Authors: Idris Muhamad , Rahmah Amalia
Published: April 2023

Penggunaan website sebagai sistem informasi guna mendukung kegiatan internal menjadi salah satu faktor keberhasilan dan kemajuan instansi pendidikan. Salah satunya pemanfaatan sistem informasi untuk memfasilitasi sivitas akademik dalam melakukan pendaftaran wisuda. Pada STT Nurul Fikri proses pendaftaran wisuda masih dilakukan dengan cara manual dan terlalu menyita waktu. Tujuan penelitian ini adalah untuk merancang dan membangun sistem informasi pendaftaran wisuda (SIPUDA) berbasis website menggunakan framework Yii 2. Metode yang dilakukan dalam penelitian ini adalah studi kasus dengan proses pengumpulan data melalui wawancara, observasi dan dokumentasi. Hasil penelitian ini adalah sistem informasi pendaftaran wisuda yang dapat membantu memudahkan mahasiswa dalam melakukan pendaftaran wisuda pada STT Nurul Fikri kapanpun dan dimanapun berada tanpa harus menyita banyak waktu. Namun, terdapat fitur yang belum berhasil dibuat yaitu fitur notifikasi yang terintegrasi langsung dengan email mahasiswa.
Analisis dan Evaluasi User Interface Design untuk Usability menggunakan Metode Heuristic Evaluation pada Web Perusahaan Bioteknologi
Authors: Rabila Sella , Munir Sirojul , Nabarian Tifanny , Wismanindra Davied
Published: April 2023

Dalam sebuah website haruslah memenuhi kebutuhan penggunanya. Tentunya pengguna saat mengakses sebuah website pasti untuk menemukan sebuah informasi yang dicarinya. Untuk itu perlu diperhatikan halaman web sudah memenuhi kebutuhan penggunanya. Dalam memperhatikan hal ini maka dilakukanlah evaluasi terhadap usablitas user interface pada website PT. Enzym Bioteknologi Internusa dengan umpan balik yang diberikan pengguna berdasarkan pengalamannya saat berinteraksi dengan website. Diharapkan dengan pengujian ini dapat diketahui hasil usability desain user interface pada website menggunakan metode Heuristics Evaluation dan hasil analisa dapat mengetahui pengaruh efektivitas, efisiensi, dan kualitas informasi yang dialami pengguna pada website. Metode pengujiannya dengan menggunakan Heuristics Evaluation, dengan sampel pengguna awam dan pengguna yang biasa mengakses website, pengumpulan data dilakukan dengan menggunakan kuesioner. Hasil yang didapatkan dari penelitian ini responden menyetujui bahwa keseluruhan aspek Heuristics sudah cukup baik dan usabilitas pada website cukup mudah dipahami, tampilan sudah memenuhi harapan pengguna, dan informasi yang diberikan cukup sesuai dengan kenyataannya.
Aplikasi Android Untuk Pelaporan Perlengkapan Jalan di Kota Banjarmasin
Authors: Imama Muhammad Haykam , Arifin Aridhanyati
Published: April 2023

Dinas Perhubungan Kota Banjarmasin selaku penyelenggara jalan memiliki keluhan terhadap aplikasi perlengkapan jalan berbasis web dikarenakan waktu yang dibutuhkan untuk memuat halaman website cukup lama. Kondisi ini membuat efisiensi pekerjaan menjadi turun. Akibatnya pelayanan terhadap masyarakat berpotensi tidak optimal. Penelitian ini membuat sistem bernama sistem informasi perlengkapan jalan (SIPJ) dengan basis android. Tujuan utama penelitian ini adalah membangun sistem perlengkapan jalan berbasis android yang efisien. Harapannya menjadi alternatif solusi yang dapat membantu Dinas Perhubungan Kota Banjarmasin dalam pemeliharaan perlengkapan jalan raya. Tahapan penelitiannya terdiri atas tiga tahap yaitu pengumpulan data, studi pustaka dan pengembangan software. Pengumpulan data menggunakan dua teknik yaitu wawancara dan observasi. Metode pengembangan yang digunakan adalah Extreme Programming (XP). Aplikasi dibangun menggunakan tools Android Studio, bahasa pemrograman Java dan database MySQL. Metode pengujian yang digunakan adalah black box testing. Hasil dari penelitian adalah sistem yang dapat menampung data perlengkapan jalan dan menampilkan lokasi perlengkapan jalan yang dimaksud pada peta secara akurat. Selain itu aplikasi SIPJ berbasis Android lebih efisien dibandingkan SIPJ berbasis web berdasarkan kecepatan akses.
Penerapan Model Machine Learning Untuk Menentukan Klasifikasi Jenis Bantuan Sosial
Authors: Rosanti Nurvelly , Iqbal Muhammad , Munir Sirojul
Published: April 2023

Pemerintah Provinsi DKI Jakarta memiliki program bantuan sosial yang dianggarkan oleh APBD berupa program Kartu Lansia Jakarta (KLJ), Kartu Penyandang Disabilitas Jakarta (KPDJ) dan Kartu Anak Jakarta (KAJ). Permasalahan yang terjadi di tingkat Kelurahan terkait bantuan sosial yaitu kesulitan menentukan jenis bantuan yang tepat diperoleh warga sesuai dengan syarat dan kriteria yang sudah ditentukan Pemerintah serta tidak terjadi tumpang tindih penerima bantuan. Faktor pendaftaran  serta kurangnya pemahaman warga terkait kriteria jenis bantuan sosial mengakibatkan penentuan penerima bantuan sosial belum tepat sasaran seperti warga penerima bantuan yang tidak sesuai dengan kriteria sehingga mengakibatkan kecemburuan sosial. Untuk membantu permasalahan tersebut dilakukan penelitian untuk menentukan model terbaik dalam klasifikasi jenis bantuan sosial berdasarkan kriteria penerima dengan membandingkan tiga metode klasifikasi. Penelitian ini menggunakan 100 data responden dan 8 kriteria yang digunakan sebagai penentu penerima. Perbandingan model Certainty Factor, Naïve Bayes dan Decision Tree akan memberikan gambaran model terbaik berdasarkan tingkat akurasi.  Confusion matrix digunakan untuk menguji akurasi untuk Naïve Bayes dan Decision Tree dan luaran dari model yang terpilih adalah aplikasi berbasis web yang dapat memberikan rekomendasi jenis bantuan sosial. Hasil akurasi terbaik adalah Certainty Factor yaitu 98,4%, Naïve Bayes dan Decision Tree adalah 93,3%.
Quelques réformes progressives des taxes à la consommation
Authors: Leung David , Poschke† Markus
Published: April 2023

Nous étudions les effets de plusieurs réformes fiscales à l’aide d’un modèle de cycle de vie avec générations chevauchantes. Le modèle décrit des agents hétérogènes qui confrontent des risques idiosyncratiques pour leurs revenus du travail et du capital, dans un environnement avec un système fiscal progressif complexe. Le modèle réplique fidèlement les distributions empiriques conjointes du revenu, de la richesse et des paiements de taxes et d’impôts. Dans ce contexte, un déplacement du fardeau fiscal à effet neutre sur les revenus publics vers les taxes à la consommation augmente l’épargne et la production tout en réduisant les inégalités. Cette politique est avantageuse particulièrement pour les individus disposant d’un faible niveau de richesse par rapport à leur revenu, mais tend à nuire aux personnes retraitées en raison du niveau élevé de leur richesse par rapport à leurs revenus. En revanche, une hausse de la progressivité de l’impôt sur le revenu des particuliers réduit aussi les inégalités, mais génère une épargne et une production plus faible
PHARMACY MANAGEMENT SYSTEM
Authors: Devi Gayathri , Boomika V , Kiran S , Sudharshan K
Published: April 2023

The main objective of this project is to replace the manual billing generate system to the computerized the billing process the pharmacy store. The man power is reduced and the accurate bill is generated. The system is expected to be efficient, useful and affordable on implementing tasks that is instructed by the pharmacy manager. Software will do all things in pharmacy like sales, insert new incoming goods, make bills, calculate taxes, and debt, also compute worker salaries, give information about. The pharmacy manager can easily operate the software and no false bills are generated. Compare to the manual billing this is more effective in terms of time consuming, accurate data is provided, the stock details are in hand and it is easy to handle all the details about pharmacy store. The main purpose of this project is to reduce the man power and manual billing. Key words – Billing, invoice message generation, stock details and database.
Factors Causing Stunting in Toddlers in Gunung Baran Village, Panyabungan District, Mandailing Natal Regency
Authors: Doriani Harahap  , Nurkholidah
Published: April 2023

Stunt on child reflect condition fail grow on child consequence from chronic malnutrition, so child be too short for especially her age in the first 1,000 days of life (HPK). This study aims to determine factors that cause stunting in toddlers based on a lack of caregivers well, health services are still limited including ANC services, lack of coverage nutritious food, lack of clean water and sanitation coverage, economic status, LBW. Type study This characteristic descriptive with technique total sampling with amount 30 respondent. From the results of research based on the knowledge of the majority of knowledgeable mothers Enough as much 20 respondent. based on nanny Which not enough Good majority good knowledge as many as 24 respondents (80%), based on limited service ANC majority knowledgeable Good as much 21 respondent (70%), based on lack of access family food nutritious majority knowledgeable Enough as much 19 respondents (63.33%), based on the family's lack of access to clean water and sanitation majority knowledgeable Good as much 13 respondent (43.33%), based on status the majority of the economy is knowledgeable enough as many as 15 respondents (50%), based on LBW majority have child normal as much 26 respondent (86.67%). Results From the analysis it can be concluded that mothers are knowledgeable enough, but do not use it enough knowledge the so from That Mother can Mother can clarify benefit Which important For health And to power health so that more maximum in give promotion health to Mother about factor reason happening stunting
Ranking of four dual loop EGR modes
Authors: Nyerges Ádám , Zöldy Máté
Published: April 2023

Modern Diesel engines contain sophisticated control systems to keep their environmental impact low for sustainable road transport. One of these systems is the dual loop exhaust gas recirculation, which can change combustion properties in several ways. This article presents an engine dyno measurement based on analyzing the duel loop EGR with a medium-duty Diesel engine. Intake throttles and exhaust brakes for the highest freedom in the air-fuel ratio setting support the EGR systems. The EGR modes are compared from fuel consumption, NOx emission, and exhaust gas opacity in steady and transient operations. There are expected results, for instance, in the HP EGR’s faster reaction time or the LP EGR’s boost pressure holding property. Unexpected results are also presented. Contrary to theory, LP EGR generally provides a fuel consumption advantage in many operation points due to its higher boost pressure. Typically, HP EGR can provide lower fuel consumption at higher engine power. In the emission results, LP EGR is favourable both in NOx emission and exhaust gas opacity, whereas the intake throttle-supported HP EGR usually shows the highest emission. Besides, with high EGR rates at lower engine loads, LP EGR can realize low-temperature combustion, where both emissions decrease. No difference can be detected between the LP EGR’s support valves’ results. HP EGR was faster in the transient operation, with about half the reaction time. The results can be utilized for dual-loop EGR layout and control design.
Application of specific tools of the Theory of Constraints – a case study
Authors: Stopka Ondrej , Zitrický Vladislav , Ľupták Vladimír , Stopková Mária
Published: April 2023

The Theory of Constraints is a management tool for continuously improving corporate performance. In the USA, it has been very successful, above all due to the contribution of a comprehensive assessment of the issues of managerial control. Its development has also been taking place in the Czech Republic. This paper aims to present the Theory of Constraints tools and then apply some of them to a specific enterprise in logistics activities. The findings in terms of detecting and widening the bottleneck afterwards should exert a positive impact on corporate performance. Current Reality Tree, Conflict Diagram and Future Reality Tree are applied in the paper to eliminate undesirable effects that prevent the enterprise from increasing its performance. Besides providing this specific enterprise with concrete solutions to identified issues, this study aims at depicting the procedure for implementing the methods of the Theory of Constraints, including specific results and benefits of the suggested solutions, along with the quantification of their costs, savings and throughput.
Driver alertness monitoring system in the context of safety increasing and sustainable energy use
Authors: Scurt Florin Bogdan , Beles Horia , Vesselenyi Tiberiu , Lehel Csokmai
Published: April 2023

Road transport is an important factor in carbon dioxide emissions. These emissions can be reduced by improving propulsion sources and traffic flow (avoiding traffic jams due to accidents). This article presents a system for monitoring and warning the driver to prevent a possible accident involving material damage, injury, or loss of life. The system performs video monitoring of the driver in order to determine his state (tired or attentive). By reducing traffic incidents and traffic jams, the energy consumed will not be wasted; thus, more sustainable transport energy use can be achieved.