bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

Abstract

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.
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.
Uji Toksisitas Subkronik Ekstrak Etanol Daun Sungkai (Paronema canescens Jack.) Terhadap Tikus Putih Rattus noverticus (Wistar strain)
Authors: Muharni Muharni , Ferlinahayati Ferlinahayati , Fitrya Fitrya , Eliza Eliza , Yohandini Heni , Cenora Cindy 
Published: September 2023

Tumbuhan sungkai (Paronema canescens Jack) merupakan salah satu tumbuhan obat tradisional yang telah digunakan untuk pengobatan berbagai penyakit. Penggunaan suatu tumbuhan obat harus teruji keamanannya, terutama untuk penggunaan jangka panjang. Pada penelitian ini telah dilakukan uji toksisitas subkronis ekstrak etanol daun P. canescens menggunakan 30 ekor tikus putih jantan Rattus noverticus (Wistar strain), Penelitian ini menggunakan 5 kelompok hewan terdiri dari kelompok kontrol, kelompok perlakuan dosis 100, 200, 400, dan 800 mg/kg berat badan (bb) . Percobaan dilakukan selama 28 hari. Parameter yang diamati meliputi hematologi darah, biokimia darah, makroskopik organ, berat organ relatif dan histopatologi organ hati dan ginjal. Hasil pengukuran menunjukkan tidak terdapat perbedaan yang signifikan (p>0.05) antara kelompok kontrol dengan kelompok perlakuan untuk semua parameter hematologi maupun biokimia darah. Analisa histopatologi juga menunjukkan tidak terdapat gejala kerusakan pada organ hati dan ginjal. Hal ini mengindikasikan ekstrak daun sungkai tidak memberikan efek toksik pada hewan uji.