bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating Time-Varying Causality Between Military Spending and Macroeconomic Indicators in the United States
Authors: Raifu Isiaka Akande , Afolabi Joshua Adeyemi 
Published: November 2023

Abstract
Military expenditures constitute a large chunk of the United States’ annual budget and its macroeconomic implications had been modelled using the Granger causality test, which suffers power loss when variables are subjected to structural breaks. This study explored alternative approaches by applying both traditional VAR-based Granger causality and the time-varying causality test techniques to obtain new evidence on the causality between military spending and selected macroeconomic indicators (economic growth, investment, unemployment and inflation rate) in the United States. Relevant data covering 1972Q1–2021Q2 were analysed. The results of the VAR-based Granger Causality test are dominated by a unidirectional causality that runs from macroeconomic variables to military spending and the result are robust to alternative military spending measures. However, the results of the time-varying causality method show that bidirectional causality dominates the relationship between military spending and some macroeconomic indicators, especially economic growth, investment and unemployment. With the variance observed in the causality between military spending and macroeconomic indicators, policymakers need to moderate military spending to achieve desired economic outcomes.
Relationship of comorbidity and platelet function in patients with unstable angina
Authors: Nedbaeva D. N. , Sirotkina O. V. , Mineeva E. V. , Vasilyeva E. Yu. , Morozova E. I. , Vavilova T. V. , Kukharchik G. A. 
Published: November 2023

Background. Platelets play a key role in the pathogenesis of acute coronary syndrome (ACS). In recent years, the amount of data on the advisability of using the platelet function test (PFT) in the appointment of antithrombotic therapy has been growing.Objective. To access PFT in patients with unstable angina and various comorbidities.Design and methods. The study involved 74 patients with the diagnosis of unstable angina. All patients underwent standard clinical examination, PFT (impedance aggregometry with ADP and collagen), assessment of Charlson comorbidity index.Results. The most frequent comorbidities were: hypertension (95 %), type 2 diabetes mellitus (30 %), excessive body weight (35 %), multifocal atherosclerosis (22 %), smoking (24 %). Half of the patients (n = 36) had high level of comorbidity. Patients with a comorbidity index of 5 or more had high platelet aggregation on the 3rd day of hospitalization. Elderly patients, smokers, as well as patients with diabetes mellitus type 2 and multifocal atherosclerosis also had higher values of platelet activity, which may be associated with unfavorable prognosis and risk of recurrent events.Conclusion. We revealed association between PFT and comorbidities both with risk factors or diseases alone and in its integral assessment using the Charlson comorbidity index. Among the individual risk factors, smoking, diabetes mellitus and multifocal atherosclerosis were the most important, which confirms their direct role in the pathogenesis of thrombotic complications.
Results of myocardial revascularization in patients with acute coronary syndrome and COVID-19: experience of the urban multidisciplinary hospital
Authors: Vorobevskii D. A. , Vildanov T. R. , Korepanova A. I. , Scherbak S. G. , Vlasenko S. V. , Plechev V. V. , Lazakovich D. N. , Osadchii A. M. 
Published: November 2023

Background. The 2019 novel coronavirus pandemic has had a significant impact on the prognosis and outcomes of patients with acute coronary syndrome (ACS).Objective. Study of the impact of a new coronavirus infection (NCI) on the nature of the course and outcomes of the disease in patients with ACS.Materials and methods. The study included patients with ACS and a positive test for COVID-19 upon admission to the hospital in the period from April 2020 to August 2021.Results. The study included 107 patients. Among patients with and without ST elevation with more than 50 % lesions (n = 10; n = 10), 8 patients died, which was 80 % in each group. In the group with and without ST elevation with less than 50 % involvement (n = 20; n = 67), 5 and 8 patients died, accounting for 25 % and 11.9 %, respectively. The role of the influence of the levels of Il-6 (interleukin-6), troponin T and creatinine on the course and outcomes of the patients’ disease was analyzed.Conclusion. COVID-19 infection, namely the degree of damage to the lung tissue, significantly worsens the course and outcomes in patients with both NSTE-ACS and STE-ACS. Further accumulation of clinical experience in endovascular treatment of ACS and the development of algorithms for providing medical care to patients with ACS in the context of COVID-19 is required.
Clinical case of combined genetic pathology in a child with jaundice syndrome
Authors: Krylova I. A. , Malyavskaya S. I. , Levitskyi S. N. , Toropygina T. A. , Turabov I. A. 
Published: November 2023

Diagnosis of a combined genetic pathology that occurs with jaundice syndrome is a difficult task, because of common clinical manifestations for several diseases having different genesis and requiring specific diagnosis and treatment tactics. Icteric staining of the skin due to hyperbilirubinemia at any age requires immediate examination to establish its genesis and differential diagnosis between infectious and non-infectious diseases. The spectrum of diseases accompanied by jaundice syndrome includes more than 50 different diseases. The main mechanisms of suprahepatic jaundice are: firstly, a violation of the capture and glucuronidation of bilirubin in the liver, and secondly, an increased destruction of red blood cells due to hemolysis or during the disposal of blood during internal bleeding. The first mechanism is realized in Gilbert’s syndrome, while the second mechanism of suprahepatic jaundice is often due to hemolytic anemia.In presented clinical case, the implementation of two pathogenetic forms of jaundice in one patient is shown — suprahepatic, caused by type 2 hereditary stomatocytosis and Gilbert’s syndrome, as well as obstructive jaundice, caused by cholelithiasis. The special attention should be paid to precise patient examination, if disease manifestations are not consistent with classical clinical picture. The use of a new generation sequencing method, along with traditional diagnostics methods, made it possible to establish an accurate diagnosis and determine the tactics of patient management.
Checking the power of the mathematical model with a computer program to determine the probability of developing congenital pneumonia in premature newborns with very low and extremely low birth weight
Authors: Harachka A. N. 
Published: November 2023

Background. In the age of modern technologies, the relevance of preventive and personalized medicine is growing, therefore, the identification of preclinical markers of the disease is a priority.Objective. Checking the power of a mathematical model with a computer support program to determine the probability of developing congenital pneumonia in premature newborns with very low and extremely low birth weight.Design and methods. Based on the results of a comprehensive examination of 113 premature newborns with very low and extremely low birth weight, a mathematical model was developed (z = –4.59+2.54RFIII+2.40CVAF+1.83HCDH+ 1.81Asphyxia+1.66CCLP+0.86TP+0.74CRP+0.48CPIN)) with a computer support program to determine the likelihood of developing congenital pneumonia (http://pneu.bsmu.by ; https://www.bsmu.by in the Doctor menu/Pharmacist: “Diagnosis of congenital pneumonia”). The power test was carried out with an additional set of 58 premature newborns with very low and extremely low birth weight, not included in the resulting model.Results. The following data were obtained: sensitivity equal to 0.95, specificity — 0.90, prognostic significance of a positive test result — 0.95, prognostic significance of a negative test result — 0.90, likelihood ratio — 9.93.Conclusion. The results of external validation indicate the high power of the proposed model with a computer support program for determining the likelihood of developing congenital pneumonia in premature newborns with very low and extremely low birth weight.
Characteristics of the health of children and adolescents in the regions of the Far North and areas equated to the regions of the Far North (using the example of the Komi Republic)
Authors: Uzkaya A. A. , Kampov I. V. , Sannikov A. L. 
Published: November 2023

Background. Children living in the Far North and areas equated to it are exposed to the climate with insufficient insolation and unstable weather. The lifestyle in the North also contributes to the health, which leads to a high incidence and disablement.Objective. To analyze the incidence of the children aged 0–14 years in the Komi Republic from 2013 to 2021.Design and methods. The research material was the database of the “Republican Medical Information and Analytical Center” and the Federal State Statistics Service from 2013 to 2021. A trend line is used to illustrate trends. The value of the approximation reliability R2 is calculated, the values of which indicate the degree of coincidence of the calculated line with the data.Results. The leading place in the structure of childhood morbidity in the Komi Republic is occupied by respiratory diseases, injuries, poisoning, diseases of the skin, infectious and parasitic diseases. In all cases the rate of primary disease incidence, infant mortality and disability in the Komi Republic exceeded that in Russia.Conclusion. Severe climatic conditions in Komi Republic are one of the risk factors for the deterioration of children’s health in almost all nosologies.
Dakwah bil Lisan dan Religiousitas Generasi Milenial
Authors: Amatullah Ghalda , Wahyu Triatmo Agus 
Published: November 2023

X-School is an association for Muslim K-popers in Indonesia. They are part of the millennial generation who study Islam with da'wah bil lisan approach. This study aims to determine influence the da'wah bil lisan method has on the religiosity of the participants of the X-School Season 4. This research is a quantitative study and uses ex post facto research design. The subjects of this study were participants in the X-Season 4 program. Data collection techniques used a questionnaire. Data were analyzed using normality test, linearity test and heteroscedasticity test. The hypothesis test used is simple linear regression. The result is known that the coefficient of determination is 40.1%. So it can be concluded that the contribution or contribution or influence given by variable X (da'wah bil lisan approach) on variable Y (religiosity) is 40.1% or in other words the use of the da'wah bil lisan approach can increase the religiosity of study participants X-School Season 4 .
Analyzing the decision-making process of international trade agreements using Petri nets
Authors: He Yingchao 
Published: November 2023

Abstract
This paper aims to analyze regulatory cooperation in international trade agreements by combining petri net models with intuitionistic fuzzy petri net models. A security information system for international trade agreements combines formal mathematical methods with visual graphics. The correlation matrix and invariants method is utilized to analyze invariants in international trade agreements. The correlation matrix reorganization algorithm is employed to examine correlation factors in the decision-making process of international trade agreements. The results show that the fuzzy Petri net model has the least fluctuation in analyzing the information security posture value of international trade agreements, and the security posture value floats between 6.7 and 7.3. The newest ITA regulation is 0.2 higher than the traditional regulation in consistency, the embodiment of the newest ITA regulation in democracy is 0.75, and the transparency in the newest ITA regulation is increased by 0.3. This paper’s research enhances the useful data and information for analyzing the factors influencing ITAs’ decision-making.
An Exploration of the Precision Path of Integrating Artificial Intelligence Technology into Japanese Literature Education
Authors: Ma Lili , Yang Yixiao 
Published: November 2023

Abstract
With the further spread of Japanese literature, this paper explores the application of artificial intelligence technology in Japanese literature education, improves the feature extraction TF-IDF algorithm based on information theory, counts the information content of the keywords as the control coefficient of their TF-IDF values in the final result, and constructs the TFIDF-BOIT linguistic feature extraction algorithm for Japanese literary works. The style analysis of literary works was conducted by screening five-dimensional variables based on the extracted linguistic features. A more targeted teaching path is proposed by analyzing the language features and styles of various Japanese literary works. The DR in Japanese literature during the Nara period was 0.345, and the DLS was 0.472. While in the Meiji period, the DR in literature decreased by 0.104, and the DLS increased by 0.085. The refinement of literature education can be achieved through the intelligent analysis of Japanese literature.
Digital news ecology and polarization in the context of deep learning: empowerment, entrenchment and reconciling failure
Authors: Feng Yi 
Published: November 2023

Abstract
This paper aims to discuss the causes of public opinion polarization in digital news ecology and then analyze group polarization’s specific manifestations and carriers. Secondly, it introduces word embedding technology to analyze digital news text, utilizes a multi-head self-attention mechanism to construct a new classification model, and realizes collaborative filtering recommendations of digital news based on users’ interests and news hotspots. Finally, social media is taken as an example to analyze the factors that cause polarization in digital news ecology. The results show that the digital news ecosystem can empower the development of the polarization phenomenon, deeply involve users, and group users by solidifying their identity construction, social endorsement and other directions. It can also provide a space for the polarization phenomenon to be reconciled, but due to the emotional loss of control and the decline of publicity leading to the failure of reconciliation, the similarity of sadness emotion reconciliation is 36.94%. It is suggested that the digital news ecology provides technical support for developing polarization phenomena, enabling them to thrive in digital news.
Research on the Innovation of Path of Nurturing Education for Ethnic Minority Students in Service Colleges and Universities in the Context of Big Data
Authors: Guan Weiwei , Yang Xiaoshan 
Published: November 2023

Abstract
This paper firstly discusses the special name of ethnic minority students’ formation education in colleges and universities under the background of big data, analyzes the influencing factors of formation education, and puts forward the 1535 innovative education model of formation education in colleges and universities. Secondly, based on the innovative education model, the evaluation index system of nurturing education was constructed, the triangular fuzzy number was introduced to optimize the hierarchical analysis method, and the weights of the indexes were determined by using TNFAHP. Finally, an empirical analysis was carried out to assess the effectiveness of the 1535 education model in nurturing education and the evaluation index system. The results show that the path of ethnic minority students in colleges and universities can be coordinated through the development of living habits, learning habits, and civilized habits, and the comprehensive evaluation score of the Adult Education 1535 education model is 80.57 points. This shows that the 1535 education model can effectively promote the formation of education for ethnic minority students and improve their study habits, civilized quality, and life etiquette.
Reform and Innovation of Dance Choreography Teaching Based on Virtual Environment Technology
Authors: Yang Jing 
Published: November 2023

Abstract
This paper firstly researches the reform and innovation of higher vocational dance choreography teaching under the background of new media and puts forward the reform and innovation suggestions of higher vocational dance choreography teaching according to the structure and thinking steps of higher vocational dance choreography teaching. Then, research on dance choreography teaching based on virtual environment technology, using quaternion interpolation to define the distance between dance action frames in dance choreography teaching video, selecting public frames of dance choreography teaching video based on the definition of dance action, articulating the keyframes of dance action according to splicing the dance action sequences and analyzing the research on innovation of higher vocational dance choreography teaching. The results showed that in posture, the P-value of students’ shoulder, torso, sitting, standing, walking, and overall posture were less than 0.01, with highly significant differences. In terms of students’ aesthetics, the P value of students’ aesthetic sensibility was 0.026, P<0.05, aesthetic appreciation P value was 0.051>0.05, and aesthetic creativity P=0.063>0.05, which shows that students in the control class got a significant improvement in aesthetic sensibility. This study plays a certain role in inspiring and leading generalization for the teaching of dance choreography.
Innovative Path of Civic Education Management Mode in Colleges and Universities Based on Bayesian Networks
Authors: Xu Jinping 
Published: November 2023

Abstract
This paper constructs a Bayesian network structure learning model using both the Bayesian network and the Notears algorithm. Combined with acyclic graph and conditional probability table, the structure and parameters of BN are described respectively. Focusing on the basic methods of Bayesian network structure, the hybrid algorithm based on Notears is chosen as the basic method of structure learning by analyzing the application of the evaluation search method, constraint method and hybrid search algorithm. The results show that the ideal education management method should focus on the integration with real life, so much so that it has a low rate of detachment from reality as well as a low rate of theory, accounting for 0.35 and 0.4, respectively. The traditional way of management of ideology and political education in colleges and universities is more theoretical and detached from the actual situation of education and management, with theoretical management accounting for 0.75, and management is inefficient, with a percentage of 0.6. The research in this paper promotes, to a certain extent, the innovation of the management of the ideological education in colleges and universities, for the management of ideological education in colleges and universities.
Modelling and implementation mechanisms for power assessment under ecological environment and sustainable development
Authors: Wu Qiujia , Zhou Zhi’e , Mai Yuanhan 
Published: November 2023

Abstract
In this paper, the constraints faced by the power sector in terms of energy, economy and ecology are first studied in depth, and the relationship between investment efficiency and new power development is explored by using the Data Envelopment Analysis (DEA) method. Secondly, the parameters of the least squares support vector machine (LSSVM) model are optimized based on phase space reconstruction and the artificial bee colony (ABC) algorithm, and an optimized ABC- LSSVM wind abandonment power assessment model is proposed. Finally, the proposed wind power abandonment assessment model’s accuracy and precision are verified by comparing it to the traditional maximum probability method. The results show that the evaluation result obtained by using the traditional maximum probability method is 4580.15 MWh, and the evaluation result of the ABC-LSSVM algorithm is 5123.12 MWh, while the actual output power is calculated as 4975.63 MWh, which indicates that the ABC-LSSVM algorithm is better than the traditional maximum probability method model in the evaluation of wind power abandonment. This paper accurately evaluates the wind power abandoned by wind turbines, which is of guiding significance for realizing wind reuse and rational planning of the power grid.
The Application of Big Data Technology in Educational Management in Higher Education
Authors: Ma Fangqin 
Published: November 2023

Abstract
In this paper, we first constructed a college education management system based on big data technology, clarified the system layout, analyzed the functional requirements of different personnel roles, and used the B/S development structure and mode to complete the layout and construction of hardware. Then, the evaluation model is established by using factor analysis and principal component analysis to calculate the eigenvalue, variance contribution rate and comprehensive score of each factor, and the evaluation index system is established. Finally, the effect of digital education management in colleges and universities is evaluated in terms of reliability, responsiveness, assurance and tangibility, and overall perceived quality. The scores of all dimensions are higher than 4, the student’s expectations are all in the range of 5-6.5, and the real perception is in the range of 4-5.5. Teachers’ expectations were in the range of 5-6 points, and their true perceptions were in the range of 4-5 points. Teachers and students are satisfied with the effectiveness of school management. This study has significance for educational reform as well as management upgrading in colleges and universities.
Exploration of Talent Cultivation Path for Art and Design Majors under Industry-Teaching Integration Mode Based on Big Data Analysis
Authors: Deng Shaobo 
Published: November 2023

Abstract
This paper combines the three elements of industry-teaching fusion with the competency characteristics of art design professionals and puts forward a specific cultivation path for art design professionals under the industry-teaching fusion mode with respect to the cultivation value of industry-teaching fusion for art design professionals. The association rule algorithm is selected to set up art design professional courses, and the neural network algorithm is selected to establish the talent cultivation mechanism model of industry-teaching fusion under the background of big data. According to the association rules for talent training path effect prediction, and then use big data is used to analyze the demand characteristics of art design professional talent training under the fusion of industry and education based on the demand characteristics for targeted talent training. The average difference between the student’s scores and the actual scores is 17.38, the accuracy rate of the model is 87.15% in the case of the allowable error range of 10 points, and the accuracy rate of the model is 90.55% in the case of the allowable error range of 15 points. A series of interventions, such as promotion rate prediction and academic warning, can be implemented based on this.