bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang Bangun Aplikasi Katalog Augmented Reality Design Setup Ruang Kerja Minimalis berbasis Android
Authors: Ghani ST. Aminah Dinayati , Andi Alfian
Published: September 2023

Penelitian ini dilatarbelakangi oleh pemanfaatan Augmented Reality pada halaman katalog yang dapat membantu klien melihat visualisasi design Interior ruang kerja minimalis berdasarkan tema Interior yang diinginkan dalam bentuk 3 dimensi. permasalahan yang muncul adalah bagaimana membangun aplikasi yang dapat memindai objek 3D pada halaman katalog beserta informasi konsep ruangan kerja yang menarik dengan memanfaatkan perangkat berbasis Android. Tujuan dari penelitian ini adalah untuk merancang media informasi katalog yang dapat menampilkan design Interior ruang kerja minimalis dengan memanfaatkan fitur Augmented Reality ke dalam perangkat berbasis Android. Aplikasi ini dibuat menggunakan bahasa pemrograman C# serta menggunakan software Unity 3D Engine, SketchUp, dan Photoshop. Pengujian perangkat lunak secara fungsional pada aplikasi katalog menggunakan metode blackbox. Aplikasi yang dihasilkan dari penelitian ini dapat membantu klien melihat tema design ruang kerja minimalis yang dirancang untuk menarik perhatian klien dalam memvisualisasikan ke dalam bentuk objek 3D.
Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings
Authors: Wang Shourui
Published: September 2023

To realize the combination of artificial intelligence and building material manufacturing and its construction in the assembly building, this paper conducts a comprehensive evaluation analysis of assembly building material manufacturing based on a fuzzy object element evaluation model. Firstly, a comprehensive evaluation index system of 5 primary indicators and 18 secondary indicators corresponding to them is established based on the characteristic data of construction material manufacturing. Secondly, the weights of the relevant construction material manufacturing indicators are calculated by combining the ANP method and entropy weighting method to comprehensively evaluate construction materials and construction material utilization of a specific assembly building project. Finally, the constructed evaluation model is applied to the Guiyang JY project, and the fuzzy object element evaluation model calculates the primary and secondary index weights. From the performance of the primary indicators, the average weight value of the entropy method is 19.37%, which is better than the average weight value of 18.15% of the hierarchical analysis method. In terms of the performance of the secondary indexes, the average weight value of the entropy method is 5.09% compared to the average weight value of the hierarchical analysis method of 4.96%, which is more favorable to the research and analysis of the construction of assembled buildings. This study has a guiding reference value for improving the construction level of assembled buildings in China by analyzing artificial intelligence technology in material manufacturing and assembled building construction.
Building an efficient classroom for Civics in vocational colleges in the era of new media
Authors: Wang Siyu
Published: September 2023

To promote the construction of an efficient Civics classroom in vocational colleges and universities and achieve the goal of cultivating talents with moral character, this paper proposes a Civics classroom teaching system based on new media technology to enhance the efficiency and effectiveness of Civics teaching. By constructing the AHP teaching system, the hierarchical structure model is divided into target layer Z, criterion layer C, and program layer P, thus constructing a pairwise comparison array and calculating the weight vector to provide integrity support for the construction of the Civics classroom system. In structuring the teaching model, a third-order nonlinear expression is used to transform and upgrade the traditional Civics teaching system, which simplifies the teaching model. To verify the feasibility of the Civic Science classroom teaching system based on new media technology, experiments were conducted on its teaching effect. The results show that the average response time of the proposed system is 15.694ms. The resource preference time is above 0.92, which is better than the 49.12ms of the recommendation system based on knowledge mapping. The average value of pre and post-test performance of students in the experimental class is 0.675, and the positive interest in learning is 45.71±6.03. It can be seen that the new media technology has promoted the Civics course to break through the traditional teaching mode and further enhance the efficient development of the Civics classroom.
Exploring the path of integration of rural tourism culture and food industry in the context of big data
Authors: Liu Yiyi
Published: September 2023

Under the background of big data, better integrating rural tourism culture and the food culture industry becomes an important research direction to improve the quality of rural tourism and promote rural revitalization. Based on the association rule mining algorithm under big data technology, this paper analyzes the keyword data of tourists for rural tourism culture and food culture on the Internet review platform by combining the survey and research on rural tourism culture resources and food culture resources in Y town. Results: The number of tourists participating in rural tourism was 51.2% for males and 48.8% for females. In terms of age composition, visitors aged 26-60 accounted for 82.5% of the total, thus indicating that middle-aged and older people in pursuit of nostalgia and local flavor dominate rural tourism. Regarding income level, 81.1% of the rural tourism tourists were in the middle and high end. In terms of tourists’ education, 36.1% of the tourists’ education level is undergraduate, while the rest of the education levels are 7.5%/11.2%/19%/26.2%, respectively, indicating that people with high education are more willing and know how to pursue the culture embedded in the countryside. From the big data sentiment analysis of tourists’ evaluation words, the most frequently appearing words are “special” and “delicious”, reaching 492 and 465 times, respectively, while the least frequent keyword is “dangerous”. The least frequent keyword is “dangerous”, but it also appears 61 times. From the viewpoint of experience, the overall experience of rural tourism culture and food culture of tourists is 76.41% and 79.81%. With the above analysis, in the process of integrating the development of rural tourism culture and food culture, we should focus on creating local characteristic brands, developing characteristic food culture, building characteristic rural tribes, and preventing uniformity from enhancing the attractiveness of the countryside and providing a new road for promoting rural revitalization.
The development and application of virtual practical teaching based on a clustering algorithm in the development and application of a resource library of college Civics courses
Authors: Yang Yushuang
Published: September 2023

With the ever-changing times and the expanding scale of colleges and universities, the contradiction between the scarcity of Civics course resources and the unlimited demand of students for resources in our colleges and universities has become more obvious. It is of great practical significance to develop Civics course resources for the high-quality development of colleges and universities. In this paper, we use the clustering algorithm to reduce the complexity of the resource allocation algorithm and the ant colony algorithm to solve the allocation problem between the resource user group and distributed distribution center and then combine the two algorithms to optimize the college Civics course resource library system. The research shows that the retrieval time of the other two algorithms is 247s and 251s, respectively, while the retrieval time of this algorithm is 148s, which is much faster than the other two algorithms, and the slowest query concurrency can reach 3.61 per second under the condition of 20 users, which meets the acceptable query requirements of users. Finally, after teaching tests, students are generally satisfied with the teaching resources organized and managed in the teaching aid platform in terms of richness, quality, and conformity with learning needs. Therefore, the college Civics course resource library system in virtual practice teaching based on the clustering algorithm designed in this paper can manage the course resources well and have a good retrieval effect, which can also play a multiplier effect in Civics teaching.
Research on Ideological and Political Practice Teaching based on VR technology in the Information Age
Authors: Pan Luyan
Published: September 2023

With the continuous development and increasing update of science and technology and Internet big data technology, the traditional teaching mode is, to a certain extent, difficult to meet students’ needs for classroom learning, and also, to a certain extent, affects the pace of promoting practical teaching of Civics and Political Science. Based on the practice of ideological and political teaching in colleges and universities, supported by big data Internet technology, this paper uses the empirical analysis method to construct the parameterized settings of distributed teaching and finally constructs the theoretical model and practical model of teaching Civics and Political Science based on VR technology. The analysis of the questionnaire survey on visiting and experiencing red VR venues shows that 96% of students like this new way of learning based on red VR venues, thus indicating the feasibility of VR teaching in college Civics courses. With the development of big data Internet technology and VR technology, the application of VR technology in the activities of ideological and political teaching in colleges and universities brings important and positive changes to the students’ ideological and political teaching activities, combined with the virtual reality course building entity in colleges and universities, exploring the potential and advantages of embedding VR technology in the college ideology class in the new era and bringing a new experience to the students’ teaching activities.
Exploring the development trend of digital media fashion illustration art based on the content analysis method
Authors: Zhang Xiaoming , Jin Yuanyuan
Published: September 2023

The advent of the digital era has also provided new opportunities for developing fashion illustration art. To explore the development trend of digital media fashion illustration art this paper explores the development trend of digital media fashion illustration art based on the content analysis method through four aspects of creative themes, application carriers, acceptance, and understanding of a digital media platform fashion illustration. The results show that in terms of creative theme styles, the growth rates of the political theme category, regional theme category, and retro theme category are 36.77%, 44.91%, and 40.91%, respectively, while the styles of digital media fashion illustration have developed most rapidly in group theme category and popular theme category, with a growth of 370% and 55.94% respectively in the past ten years. This indicates that with the development of digital media technology, more popular elements are beginning to be explored and gradually applied to fashion illustration in the group and corporate culture. In terms of acceptance, 58.38% said they accept the application of digital media to fashion illustration, and in terms of understanding, nearly 60% said they understand it. In terms of application carriers, over the past ten years, because of the development of digital media, mobile media has become 66.48% of people understand and receive news about fashion illustration, while the percentage of those who understand fashion illustration for television media has decreased from 75.17% to 2.47%. This shows that the art of fashion illustration in the digital era has begun to develop towards mobile media, which is more portable and faster. The fashion illustration theme also became closer to popular elements and corporate cultural values.
The integration of traditional culture and educational drama for young children based on the AdaBoost model
Authors: Cheng Zhihong , Cheng Yu
Published: September 2023

However, the integration of traditional culture and modern children’s theater education is not smooth in digitalizing big data information. Take shadow puppet theater. Its traditional culture is no longer as brilliant as yesterday due to the problems of not easy preservation and disconnected content. This paper focuses on integrating traditional culture and educational drama for young children based on the AdaBoost model. Firstly, we understand the principle, concept, and algorithm of the AdaBoost model by finding literature, constructing the AdaBoost-BPN prediction model and AdaBoost-WBLS model, and adopting ordinary BPN weak predictor, AdaBoost-BPN The AdaBoost-BPN prediction model and the AdaBoost-BPN prediction model with “weekend factor” were used to predict the traditional culture and educational drama of young children, and the prediction error evaluated the prediction results. Has higher integration training efficiency. In the integration weight update, different regularization update methods are used for different data categories to retain the features of the data and increase the inter-class distinction. WBLS is used as the base classifier and the optimization method of embedding WBLS in the AdaBoost framework to improve the performance of the integration of early childhood traditional text and educational drama. The results show that the AdaBoost-WBLS model has significantly improved G-mean on dichotomous and multiclassified datasets compared with similar models, with higher accuracy and better ability to handle unbalanced data. This study is conducive to planning the design of the teaching process according to the characteristics of the integration and change of traditional culture and educational drama for young children, and the combination of traditional culture represented by shadow puppet theater and children’s drama education is of great significance and value in guiding young children to establish the correct three views, stimulating their imagination and creativity, and promoting the development of their aesthetic education.
Research on innovative system development of university art education in the era of big data
Authors: Zhang Muchao
Published: September 2023

Education evolves with the times, and innovation in educational philosophy is a prerequisite for efficient teaching. The birth and development of big data have further expanded and deepened the vision of art education, and its application aims not only to understand individual interests and hobbies but, more importantly, to control the learning and development tendencies of the group from the macro context and to provide all-round support for the digitization of art education. This paper proposes a new pedagogical model, ROF-LGB, based on the LightGBM model and the rotating forest. 30 ten-fold hierarchical cross-validation analyses of the four models are then conducted. The ROF-LGB model has nearly 7% more micro-averages and 10% more macro-averages than the other three models. When all datasets were compared, the ROF-LGB model outperformed in both metrics by as much as 65.2% of the datasets and in the comparison of accuracy by 82.6%. Therefore, the ROF-LGB model has greatly improved the accuracy rate based on the rotating forest and LightGBM, making this system a good aid for innovative art education.
Study and analysis of wastewater treatment in the refining and chemical industry based on multidimensional data analysis
Authors: Guo Guangling
Published: September 2023

To improve the efficiency of wastewater treatment in the refining chemical industry, this paper designs a wastewater treatment process in the refining chemical industry based on multidimensional data analysis to guarantee the optimal operation of wastewater treatment operations. In the process of multidimensional data analysis, triangular polynomials are introduced to calculate the robust distance of high-dimensional data and construct a multidimensional data model. The optimal multidimensional clustering levels are divided using data operations to obtain high-dimensional data sequences in the multidimensional data set to accelerate data clustering. A parallel coordinate system realizes the visual representation of the wastewater treatment process stems to improve the capacity representation of wastewater treatment data. Simulation analysis was conducted to verify the treatment effect of the wastewater treatment process based on multidimensional data analysis in the refining and chemical industries. The results showed that the process designed in this paper resulted in a dissolved organic matter fraction concentration of 16.28, and the humic acid-like fraction increased by 36.2%, which was significantly higher than the protein-like fraction of 21.6%. And among all protein-like fractions, only C4 was positively and significantly correlated with fluorescent organic matter at the P < 0.05 level. It can be seen that the multidimensional data analysis model is conducive to promoting the development of wastewater treatment technology in the refining chemical industry and ensuring that the refining chemical industry steps into a circular and sustainable development track.
Research on the reform and practice of thinking and teaching of computer network technology course based on ant colony algorithm
Authors: Liu Weigang
Published: September 2023

Integrating Civic Education into computer network technology courses can make the professional content more profound. This paper proposes an optimization scheme to improve the teaching effect of the course with an ant colony algorithm, tests the optimization effect of the ant colony scheduling algorithm on the computer network technology course through the index of assignment completion time, and compares the completion time of the same assignment content using four schedulers, ACOScheduler, FIFOScheduler, CapacityScheduler, and FairScheduler, respectively, in the same The results show that the completion time of the same job content in the same environment using ACOScheduler, FIFOScheduler, CapacityScheduler, and FairScheduler. The results show that the task completion time of ACOSchduler is 9.8% lower than that of FairScheduler and 11.4% lower than that of CapacityShcduler at a task size of 500MB, thus optimizing the effectiveness of teaching computer network technology courses. The performance optimization effect of the ACOS scheduling algorithm on the course teaching reform, the achievement of all the target functions to improve the efficiency of task scheduling, more efficient data analysis tasks, and the achievement of the requirements of the expected teaching reform of the subject.
Research on the optimization and practice of mathematical modeling curriculum systems based on the perspective of big data
Authors: Jian Jinfeng
Published: September 2023

Today’s society is undergoing rapid changes from the information age to the big data age and the intelligence age, and some new requirements and challenges are faced by mathematical modeling curriculum teaching in talent training in the big data age. In this paper, we propose a self-adaptive genetic algorithm scheme for the optimization of a mathematical modeling curriculum system, which is mainly reflected in re-planning and designing the constraints for the optimization of the mathematical modeling curriculum, optimizing and improving the initialization population, selection operator, crossover operator, and variation operator processes. The crossover probability at 0.8, the optimal value of individual fitness and the average value of fitness of the group are both maximum, and the variation probability at 0.01, the optimal value of individual fitness and the average value of fitness of mathematical modeling are both maximum, which indicates that this crossover probability and variation probability are better in the quality of the self-adaptive genetic algorithm. This Study is a guiding reference for the research on the optimization and practical exploration of mathematical modeling curriculum systems in colleges and universities and thus is of historical importance to promote the development of Chinese mathematics.
Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data
Authors: Yu Ligang , Ye Jin , Chen Yang
Published: September 2023

Scientific research results represent a country’s innovation capability. To previous statistics, the scientific research results of Chinese university laboratories are more focused on the basic research stage, while the industrialization and commercialization stages of the results are often broken. In this paper, by using the DEA model to determine the relationship between input and output, decision unit, and efficiency variables, the input-output indexes are selected for the calculation to obtain the comprehensive efficiency, pure technical efficiency, and scale efficiency of the transformation of scientific research results in university laboratories; subsequently, the output slack variables of non-DEA validity decision unit are analyzed differently. The results show a 63.41% difference between the maximum comprehensive efficiency value and the minimum value of the transformation of scientific research results in 30 universities, and the slack variable variance analysis reveals that there is 42.27% input redundancy and 31.87% output deficiency in 30 universities. This paper improves the conversion rate of laboratory scientific research results based on the improvement of input and output indicators from the decision-making level; and proposes the tripartite collaboration model of laboratories governments, and enterprises, which promotes the acceleration of scientific research results into the market and the industrialization of scientific research results.
Research on the integration of non-traditional culture and contemporary visual design based on virtual reality technology
Authors: Xie Ji
Published: September 2023

This paper aims to explore the impact of virtual reality and contemporary visual design on non-traditional culture. In this paper, we use virtual reality technology to transform the semantics of visual design interaction, process the visual design into a sparse matrix, and score the eigenvalues in the matrix to form a propagation field screening process for complete automated analysis, a way to build a visual design platform. A questionnaire survey was used to investigate the impact of visual effects of virtualization of non-heritage culture and the current demand for modern virtual reality-based cultural experiences, and a structural equation approach was used to empirically prove the impact of virtualization of non-heritage culture on the sense of experience, on emotional and cognitive responses, emotional involvement, pleasure level and willingness to experience. Before the VR experience, people’s knowledge of NRM culture was about 60%, but after the experience, their knowledge of NRM culture reached more than 80%. For example, the knowledge of traditional skills of NRM culture was only 60%, but after the experience, the knowledge reached 90%; the satisfaction with the NRM culture experience also increased from 60% to 80%. The virtualization of NRM culture gives the experience good visual enjoyment and completes a magnificent transformation of the traditional cultural experience.
Research on AGV cart control system based on fuzzy PID control
Authors: Chen Yuanyuan , Chen Jing , Cheng Sining , Qin Jiaxian
Published: September 2023

As an important carrier of intelligent logistics, AGV can effectively reduce the labor cost of factories and warehouses. With the comprehensive promotion of “smart manufacturing”, the manufacturing industry has a stronger demand for automated AGV logistics systems. This paper firstly analyzes the principle of fuzzy PID controller and establishes its kinematic model to obtain the intrinsic relationship between the motion form and the speed of each driving wheel. Secondly, through the data measured and fed back by the fuzzy PID control system, the AGV driving angle deviation and position deviation are used as the input of the fuzzy controller; its fuzzy deviation correction technology is applied to realize the path correction of the AGV and ensure the stable operation of the AGV through the cooperative motion control technology. Finally, MATLAB software establishes the joint simulation model of the AGV fuzzy PID control system. The results show that through the two algorithms of PID control and fuzzy PID control correction test, the fuzzy PID controller system corrects the deflection efficiency by 47.41%; in the kinematic test, the path tracking efficiency is increased by 30.76%, the distance correction efficiency is increased by 69.56%, the angle correction efficiency is increased by 69.56%, and the average performance is increased by 53.44%. Through the two comparisons, it is concluded that the fuzzy controller designed in this paper has the advantages of fast response speed, good stability, and strong deflection correction performance, which substantially improves the speed and accuracy of intelligent search of intelligent vehicles.
Is Bitcoin an emerging market? A market efficiency perspective
Authors: Skwarek Mateusz
Published: September 2023

Despite recent studies focused on comparing the dynamics of market efficiency between Bitcoin and other traditional assets, there is a lack of knowledge about whether Bitcoin and emerging markets efficiency behave similarly. This paper aims to compare the market efficiency dynamics between Bitcoin and the emerging stock markets. In particular, this study indicates whether the dynamics of Bitcoin market efficiency mimic those of emerging stock markets. Thus, the paper's contribution emerges from the combination of Bitcoin and emerging markets in the field of dynamics of market efficiency. The dynamics of market efficiency are measured using the Hurst exponent in the rolling window. The study uses daily data for the MSCI Emerging Markets Index and the Bitcoin market over the period 2011–2022. Our results show that there is at most a moderate correlation between the dynamics of Bitcoin and emerging stock markets’ efficiency over the entire study period. The strongest correlations occur mainly in periods of high economic policy uncertainty in the largest Bitcoin mining countries. Therefore, the association between Bitcoin market efficiency and emerging stock markets’ efficiency may strengthen with an increase in economic policy uncertainty. These findings may be useful for investors and portfolio managers in constructing better investment strategies.
Developing a High-Performance Sports Results Prediction Artificial Neural Network: Case Study on World Championship Boxing
Authors: Thisani Sandisiwe Khanyisa
Published: September 2023

Major sports events are watched by millions around the world and the prediction of event outcomes is a subject of interest to many stakeholders which underlines the relevance of continuous development and improvement of prediction models. This study uses a factorial design methodology to develop and test 18 Artificial Neural Network (ANN) models for the prediction of world championship boxing matches. The methodology was applied to evaluate the individual and collaborative effects of feature selection, ANN architecture and training data selection on the prediction performance of ANNs. Feature selection was found to be the most influential factor on prediction performance with a statistically significant Analysis of Variance (ANOVA) between the feature selection levels and the test accuracy (p-value of 0.012). The collaborative effect of training data selection and feature selection on prediction performance was found to be statistically significant with ANOVA p-value of 0.007. The best performing model achieved a test accuracy of 81.53% which is an improvement to current benchmarks for sports prediction. The findings of this study contribute to the development of future machine learning sports prediction models.
Prominin 2 decreases cisplatin sensitivity in non-small cell lung cancer and is modulated by CTCC binding factor
Authors: Tang Jiyang , Shu Dejun , Fang Zhimin , Yang Gaolan
Published: September 2023

Background

Non-small cell lung cancer (NSCLC) is the major pathological type of lung cancer and accounts for the majority of lung cancer-related deaths worldwide. We investigated the molecular mechanism of prominin 2 (PROM2) involved in cisplatin resistance in NSCLC.

Patients and methods

The GEO database was analyzed to obtain differential genes to target PROM2. Immunohistochemistry and western blotting were used to detect protein expression levels. To examine the role of PROM2 in NSCLC, we overexpressed or knocked down PROM2 by transfection of plasmid or small interfering RNA. In functional experiments, CCK8 was used to detect cell viability. Cell migration and invasion and apoptosis were detected by transwell assay and flow cytometry, respectively. Mechanistically, the regulation of PROM2 by CTCF was detected by ChIP-PCR. In vivo experiments confirmed the role of PROM2 in NSCLC.

Results

GEO data analysis revealed that PROM2 was up-regulated in NSCLC, but its role in NSCLC remains unclear. Our clinical samples confirmed that the expression of PROM2 was markedly increased in NSCLC tissue. Functionally, Overexpression of PROM2 promotes cell proliferation, migration and invasion, and cisplatin resistance. CTCF up-regulates PROM2 expression by binding to its promoter region. In vivo experiments confirmed that PROM2 knockdown could inhibit tumor growth and increase the sensitivity of tumor cells to cisplatin.

Conclusions

PROM2 up-regulation in NSCLC can attenuate the sensitivity of NSCLC cells to cisplatin and promote the proliferation, migration and invasion of tumor cells. PROM2 may provide a new target for the treatment of NSCLC.
Billroth-I anastomosis in distal subtotal gastrectomy for non-early gastric adenocarcinoma
Authors: Shahbazyan Sevak S , Sahakyan Mushegh A , Gabrielyan Artak , Lai Xiaoran , Martirosyan Aram , Petrosyan Hmayak , Yesayan Shushan , Sahakyan Artur M
Published: September 2023

Background

Billroth-I (B-I) anastomosis is known as a simple and physiological reconstruction method after distal subtotal gastrectomy for early gastric cancer. Yet its role and oncological validity in non-early gastric adenocarcinoma (NEGA) remain unclear.

Patients and methods

Patients with NEGA without distant metastases operated between May 2004 and December 2020 were included. Surgical and oncologic outcomes of distal subtotal gastrectomy were studied in patients with B-I and Billroth II (B-II) anastomoses. Propensity score matching (PSM) was used to adjust for age, gender, tumor size, location, resection type, pT and pN stages.

Results

A total number of 332 patients underwent distal subtotal gastrectomy for NEGA followed by B-I and B-II anastomoses in 165 (49.7%) and 167 (50.3%) cases, respectively. B-I was applied in patients with smaller tumor size, less advanced pT stage and tumor location in the gastric antrum. The former was also associated with lower proportion of multiorgan resections and shorter operative time. After PSM, these differences became statistically non-significant, except operative time. Postoperative outcomes were similar before and after PSM. Greater lymph node yield was observed in patients with B-I anastomosis. The incidence of recurrence, specifically local recurrence was lower in patients with B-I anastomosis. However, this association was not statistically significant in the multivariable model. Median overall survival was 38 months, without significant differences between the groups.

Conclusions

The use of B-I anastomosis after distal subtotal gastrectomy for NEGA is associated with satisfactory surgical and oncologic outcomes. B-I anastomosis should be considered as a valid reconstruction method in these patients.
Improvement of Blast-induced Fragmentation Using Artificial Neural Network and BlastFrag© Optimizer Software
Authors: Taiwo Blessing Olamide , Adebayo Babatunde
Published: September 2023

Abstract in English

The Golden Girl dolomite quarry was selected by the authors to develop predictive artificial neural network (ANN) models and software for optimization of blast fragment size distribution. Blast images from the quarry were analysed using WipFrag©. Seven controllable and two uncontrollable blast parameters, and WipFrag© image analysis results for fifty blasts were used to train ANN models. The reliability of the established models was tested, and the Bayesian regularization algorithm with the architecture of 9-8-3 was found to be superlative. The superlative model was compared with the modified Kuz-Ram model and found to be accurate. The optimum ANN models were translated into mathematical formulas and used to develop user-friendly software called BlastFrag optimizer. The software was validated with R2 greater than 80% for all models and was found suitable for predicting blast fragment size distribution. The optimized result revealed that percentages for oversize and mean-size fragments were reduced from 68.4% and 418 mm to 27.83% and 101.6 mm, respectively, and undersize fragments increased from 50% to 72.17%.
COVID-19 Spread and Financial Distress: Does Managerial Ability Matter?
Authors: Kushermanto Andi , Alisa Inayah Risqi , Ulum Akhmad Samsul , Zulaikha .
Published: September 2023

The COVID-19 pandemic has caused a global-scale economic crisis. This study aims to examine the impact of the COVID-19 spread on financial distress and the moderating role of managerial ability in the relationship between the COVID-19 spread and financial distress. The population of this study is manufacturing companies listed on the Indonesian Stock Exchange between 2017 and 2021. Using purposive sampling techniques, 31 companies were selected as the samples (155 firm-year observations). Data  were collected from the companies’ financial statements and were analyzed using Partial Least Squares (PLS)-Structural Equation Modeling (SEM). The results of this study indicate that the COVID-19 spread has a positive effect on financial distress. Furthermore, managerial ability is a moderating factor that weakens the influence of the COVID-19 spread on financial distress. This study provides evidence that managerial ability is an important factor in managing company resources and is related to the company's efforts in dealing with the crisis caused by the COVID-19 spread.
Foreign Exchange Committee Master Agreements as International Contractual Standards for Foreign Exchange Derivatives
Authors: Klementyev A. P.
Published: September 2023

INTRODUCTION.The ISDA Master Agreement is possibly the most authoritative cross-border contractual standard in the world of financial markets. It also serves as an example for the local transactional documentation drafters in various countries to regulate the conclusion and performance of over-the-counter derivatives transactions by means of bilateral contracts. However, international master agreements for derivatives and other financial products are not limited to the templates produced by International Swaps and Derivatives Association (ISDA). Foreign Exchange Committee (FXC) suggests a remarkable alternative to the documents maintained by this powerful industry club as far as transactions with foreign currency are concerned.

MATERIALS AND METHODS. International Foreign Exchange and Currency Option Master Agreement (IFXCO) and other FXC master agreements served as primary sources of the present article. Its methodological base is represented by general scientific methods (analysis, synthesis, induction, deduction) as well as specific legal research methods. In particular, formal legal method was employed for the literal interpretation of the provisions of FXC standard documentation, historical method was invoked to describe the evolution of standard FXC templates, while comparative legal method was used to undertake a comparative analysis of insolvency laws where appropriate.

RESEARCH RESULTS. The article gives a general overview of master agreements in financial markets to put FXC documentation into a broader context of standard contracts publication in financial markets. The analysis of FXC master agreements is carried out through conclusion and performance of FX transactions as well as risk mitigation mechanisms analysis such as close-out netting and collateral. Moreover, the article covers governing law and enforceability issues as well as puts FXC documentation into Russian legal context. Although Russian court, with a high degree of probability, will recognize the choice of governing law made by the parties to the relevant master agreement published by FXC, the enforceability of collateral and close-out netting provisions amidst the bankruptcy of a Russian entity is not secured due to non-recognition of FXC documentation by the Russian authorities.

DISCUSSION AND CONCLUSIONS. Author comes to conclusion that despite FXC master agreements are not able to compete with ISDA documentation. However, they are popular with certain financial institutions active in foreign exchange markets. To facilitate the development of Russian financial market the list of recognized master agreements should be broadened by addition of documentation produced by FXC. Arguably, it is necessary to amend these provisions and make them compliant with UNIDROIT as well for the purposes of transactions with banks from the countries considered “friendly” to Russia.
Prevalência dos micro-organismos causadores de infecções nosocomiais e coeficiente de sensibilidade dos antimicrobianos na UTI da Santa Casa de Formiga/MG no período de 2013 a 2017
Authors: Silva Wesley Araujo , Silva Renata de Almeida , Ferreira Vitória Goulart , Vaz Raquel , Costa Jane Faria Silva , Júnior Pascoal José Gaspar
Published: September 2023

Introdução: Infecção hospitalar é definida como toda infecção adquirida após a admissão do paciente em um hospital. Visto que há debilidade nos pacientes que se encontram internados na unidade de terapia intensiva (uti), o controle de infecções nesse local se faz ainda mais importante devido a prevalência de patógenos resistentes a antimicrobianos. Objetivos: determinar a incidência de infecções hospitalares na uti da Santa Casa de Formiga/MG, identificar os principais agentes etiológicos, a sensibilidade dos antimicrobianos e aspectos relacionados à sua prevalência. Metodologia: realizou-se uma pesquisa exploratória, retrospectiva onde foram recolhidos dados da Santa Casa de Formiga/MG dos anos de 2013 a 2017, referentes as infecções hospitalares na uti adulto. Resultados: dentre os índices obtidos os microrganismos que mais se destacaram na pneumonia associada a ventilação (pav) foram Acinetobacter sp., seguida por Enterobacter sp., atipicamente no ano de 2017 foi isolada a bactéria Stenotrophomonas maltophilia. Em relação as infecções do trato urinário (itu) a bactéria E. coli junto ao Enterobacter sp. foram os mais prevalentes. Referindo-se as infecções da corrente sanguínea (ics) destaca-se os Staphylococcus coagulase negativa acompanhado pelo Enterobacter sp. Os antimicrobianos que expressaram maior coeficiente de sensibilidade foram à vancomicina, polimixina b, bactrim e amicacina. Conclusão: de acordo com os dados analisados é possível notar que medidas simples como a lavagem adequada das mãos, utilização de substancias saneantes para a desinfecção, entre outras medidas, poderiam ser eficazes frente a redução dos casos de contaminação na uti, além da atenuação dos custos hospitalares e do tempo de internação dos pacientes.
Palavras-chave: Uti; Infecções hospitalares; Microrganismos.
Estratégia reprodutiva da aranha-marrom Loxosceles intermedia Mello-Leitão, 1934 e L. laeta (NICOLET, 1849): reserva espermática nos bulbos copulatórios
Authors: Fischer Marta Luciane , Amaral Vanessa de  Oliveira
Published: September 2023

Introdução: As aranhas do gênero Loxosceles são caracterizadas como primitivas e haplóginas cujo aparelho reprodutor simples é destituído de epígino e hematodocha. A presente pesquisa partiu da hipótese de que superpopulação de L. intermedia em Curitiba seja devido à mecanismos que maximizam o potencial reprodutivo habilitando o macho à cópulas múltiplas em sua curta existência sem necessidade de novos preenchimentos dos bulbos copulatórios. Objetivo: avaliar o efeito da interrupção da cópula na reserva de espermatozoides. Métodos: Foram formados 30 casais de L. intermedia e 30 de L. laeta com machos e fêmeas virgens, 10 cópulas foram ininterruptas para ambas, enquanto para L. intermedia as copulas foram interrompidas após 3 min e 15 min e  para L. laeta após a primeira e após a terceira inserção. Como controle foram analisados os bulbos copulatórios de 10 machos virgens. Resultados: Os machos virgens possuíam seus reservatórios preenchidos, enquanto bolhas de ar foram identificadas no reservatório espermático daqueles que copularam, entretanto embora mais bolhas tenham sido identificadas quanto maior tempo da cópula não houve diferenças significativas entre os tempos de interrupção e a área da bolha. Todas as cópulas resultaram em ootecas, contudo a interrupção precoce impactou na produção de ovos férteis. Conclusão: Foi confirmada a hipótese de que o macho de L. intermedia não utiliza todos os espermatozoides armazenados, possibilitando fertilizar fêmeas sequenciais sem a necessidade de reabastecer o reservatório.
Recursos digitais e o ensino de ciências da natureza e Biologia
Authors: Hermes Gabriela Victoria , Henckes Simone Beatriz Reckziegel , Strohschoen Andreia Aparecida Guimarães
Published: September 2023

Introdução: Diante de uma nova maneira de estudar que todos vivenciamos desde o início da pandemia da COVID - 19, em março de 2020 no Brasil, foi preciso criar e adequar-se ao ensino remoto. Como consequência, professores e estudantes têm procurado novos meios e estratégias, buscando suprir, ou ao menos diminuir, a falta de um ambiente presencial. Objetivos: Com essa nova perspectiva, o presente estudo objetivou conhecer a funcionalidade e potencialidades dos aplicativos disponíveis e utilizados para o ensino de Ciências da Natureza e de Biologia. Metodologia: Para tanto, foi realizada uma pesquisa qualitativa, exploratória e descritiva, com os alunos do 2ºano do Ensino Médio de uma escola alinhada com o Programa Residência Pedagógica. Resultados: Para tanto, foi elaborada e desenvolvida uma Sequência Didática, contendo aplicativos, “sites” e recursos digitais, além da descrição e exemplificação dos seus usos, visando instrumentalizar professores e alunos quanto ao uso de recursos digitais no ensino e aprendizagem de conteúdos de Ciências da Natureza e Biologia. Conclusão: Observou-se maior participação e engajamento dos estudantes durante as atividades, em comparação a aulas puramente expositivas.
The Quality of Kefir with Honey and with Banana Enriched with Almond Milk
Authors: Çoşkun Fatma , Erol Hülya
Published: September 2023

Kefir is a fermented product obtained from goat, sheep and cow milk as a result of lactic acid and ethyl alcohol fermentation. In this study, it was aimed to investigate the possibility of producing an alternative functional kefir product from almond milk. It was enriched with banana and honey to improve its sensory properties. Samples were stored at +4oC for 14 days. The pH and dry matter of samples containing almond milk were lower than those containing cow’s milk. Serum separation increased with the increase of almond milk ratio. The use of banana increased dry matter and viscosity, and decreased serum separation. pH, dry matter and viscosity decreased during storage. The highest L* value was observed in the control kefir produced from 100% cow’s milk, and the lowest in the samples containing honey and banana on the 1st day of storage. It can be said that the addition of honey increases the b* value and the addition of banana decreases the b* value. As almond milk ratio and storage time increased, bacteria counts decreased. The lactococci counts of the samples with banana added (except for the control) were higher than the others. In the samples with banana and honey, a higher increase in yeast count was observed during storage compared to plain kefir (control sample). It can be said that the use of almond milk reduces the general acceptability of kefir. Almond milk can be successfully used in kefir production as a substitute for cow’s milk, if sweeteners, fruit and thickeners are used.
Evolution of the Plays: Event and Structure of Chekhov's Plays “The Wood Demon” and “Uncle Vanya”
Authors:   Institute for Russian and Altaic Studies, CBNU, Paik Yong Sik
Published: September 2023

Chekhov's play “The Wood Demon” was written in 1889, and was adapted as “Uncle Vanya” in 1896. This study compares the event and structure of the two works, explores the compositional causes that made the differences between the two plays, and identifies the evolution of Chekhov's playwriting and its aesthetic characteristics.
When writing “The Wood Demon”, Chekhov took a critical attitude towards the conventions of contemporary theater. He thought it inappropriate to show dramatic events on stage, which belong to exceptional phenomena in everyday life. On the other hand, he was of the opinion that theater should express aspects of real life, in which various human emotions are revealed. To represent real life instead of dramatic events in his plays, Chekhov had to create a new form of his play. His attempt resulted in the creation of “The Wood Demon”, which could not be positively evaluated in the world of contemporary theater.
“The Wood Demon” is a play with a dual structure in which daily life in the countryside and the motif of love coexist: The expression of daily life hinders the dramatic development of events, and the events reduce the space for detailed description and presentation of social aspects. Chekhov tried to create a play with a new aesthetic, but contemporary critics only saw the absence of traditional conventions instead of something new in his play. His intention to add novelty to the play turned out to be a failure. He was neither faithful to the existing theatrical technique nor completely abandoned it. His comedy “The Wood Demon” ended up being an eclectic work of the new and the old.
The adaptation of “The Wood Demon” made it possible for Chekhov to completely get out of the traditional theatrical technique centered on dramatic development of events and create a play “Uncle Vanya” with the new conventions and form. The genre of the new play became ‘scene’, and instead of ‘the event of Love’, ‘the event of Arrival and Departure’ became the center of the content.
If the unity of time and space was maintained in “The Wood Demon”, Chekhov gave up temporal structuring and chose spatial structuring in the play “Uncle Vanya”. As a result, the new play shows various aspects of a space, not the causal flow of events: Fragmentary words and actions with weak causality become the content of each act. While “The Wood Demon” is built on the time structure and maintains the causality, consistency, and sequentiality of time, “Uncle Vanya” uses space instead of time as the compositional principle of the play, opening a new horizon for theater.