bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformation of obtaining verbal information from a person in criminal proceedings during martial law
Authors: Zinkovskyy І. 
Published: June 2023

The article is devoted to the study of obtaining verbal information from a person in criminal proceedings during martial law.
It is argued that the trends of changes in the normative regulation of obtaining verbal information from a person in criminal proceedings during martial law are: simplification of the mechanism of obtaining information; digitization; expansion of sources of obtaining information; narrowing the content of the principle of immediacy of the examination of testimony, things and documents.
In order to eliminate the incorrectness in the formulation of part 4 of Art. 95 of the Criminal Procedure Code of Ukraine, the second sentence of this part of the article is proposed to be amended as follows: "The court has no right to justify the court decisions with testimony provided to the investigator, prosecutor, or to refer to them, except for testimony received in the procedure, specified by Article 615 of this Code."
It has been proven that the formulation of Part 11 of Art. 615 of the Criminal Procedure Code of Ukraine require synchronization with the standards set out in the practice of the ECHR regarding the use of extrajudicial testimony, for which Part 11 of Art. 615 of the Criminal Procedure Code of Ukraine is proposed to be formulated as follows: "Testimony obtained during the interrogation of a witness, a victim, including the simultaneous interrogation of two or more already interrogated persons, in criminal proceedings carried out under martial law, may be used as evidence in court, provided that the duly notified witness or victim does not appear or refusal to testify only if the course and results of such interrogation were recorded using available technical means of video recording. Testimony obtained during the interrogation of a suspect, including the simultaneous interrogation of two or more already interrogated persons, in criminal proceedings carried out under conditions of martial law, may be used as evidence in court in the case provided for in the second part of Article 323 of this Code, exclusively if a defense counsel participated in such interrogation, and the progress and results of the interrogation were recorded using available technical means of video recording."
Optimization strategy of ideological and political education in colleges and universities based on modern information technology
Authors: Han Ying , Zhao Qiuyi 
Published: June 2023

Abstract
Data-driven is an important thinking concept, technical resource and innovative method in the new era, which expands the way people think about, explain and deal with problems. Starting from reality, this paper adopts data-driven theory to provide technical support and scientific cognitive way for ideological and political education in new era colleges and universities, and explores data-driven optimization strategy for ideological and political education in colleges and universities. With the support of big data technology, data-driven ideological and political education in the new era explores the trajectory and laws of ideological and political education thoughts and behaviors, changes from attaching importance to result orientation to attaching importance to data prediction function, and changes from focusing on theoretical thinking to in-depth practice, which opens up a brand new idea for the research of ideological and political education in the new era.
Research on the Logical Turn and Practical Path of China’s High-Quality Economic Development in the Context of Digitalization
Authors: Lv Xianwang 
Published: June 2023

Abstract
The digital economy is growing rapidly, and all recognize its enormous potential. Based on the ARIMA-LSTM-XGBoost hybrid model, this paper analyzes the current situation of digital economy empowering the high-quality development of manufacturing industry based on the economic development of Anhui Province from 2013 to 2020 and explores the logical turn and practical path of China’s high-quality economic development based on it. This paper first introduces ARIMA time series model, LSTM model and XGBoost model and constructs a hybrid ARIMA-LSTM-XGBoost model based on them. Secondly, we analyze the comprehensive index of high-quality development of manufacturing industry in Anhui Province as an example and research and analyze the level of high-quality development of manufacturing industry based on the ARIMA-LSTM-XGBoost hybrid model. The overall manufacturing high quality development composite index of Anhui province increased from 0.1648 in 2013 to 0.3543 in 2020. The four indicators of urbanization rate, financial development level, human resources and marketization level through significance level are -0.0004, -0.0008, 0.0037 and 0.2608, respectively. In summary, the digital economy is the logical turn for the current high-quality development of China’s economy.
Influencing factors of modern and contemporary decorative pattern design on users’ visual perception characteristics
Authors: Lan Huali 
Published: June 2023

Abstract
There are many classic traditional arts incorporated in modern design patterns design. These traditional arts embody China’s profound national art in modern decorative patterns, making the organic combination of modern and traditional national art, thus realizing the promotion of traditional national art and providing more classical excellent elements for the development of modern decorative art. At the same time, modern decorative pattern design draws on traditional art from five aspects: composition, perspective, image, color, and allegory, and applies its advantages and strengths completely to the modern design process. The most important thing is that modern pattern design has a strong sensory impact on people’s visual perception. Therefore, modern decorative pattern design cannot be separated from the integration of traditional ethnic groups, and even more so from the inspiration and reference brought to it by traditional art. The article analyzes the dynamic changes of higher-order aberrations over time in the near-eye and ortho-eye groups from a design perspective by using the generalized additive mixture models (GAMMs). The threshold effect analysis is used to find the turning point of the dynamic change of higher-order aberration. The interaction analysis method compares the differences in the dynamic changes of higher-order aberrations between the two groups, analyzes the application of modern design to decorative patterns, combines ancient and modern design elements, and studies the impact of the combined product on human senses.
Scientific Training Model of Sports Tourism Based on Nonlinear Differential Equation
Authors: Song Jingtao , Lan Yang , Duan Jing , Huang Quan 
Published: June 2023

Abstract
This paper establishes a scientific training model for sports tourism based on the nonlinear differential equation. This paper takes sports tourism as the research object. Then the nonlinear differential equation method is used to model communication, access, risk assessment and transparency. Then this paper analyzes and discusses how to improve residents' participation in sports tourism sports projects. Finally, this paper finds that the method has a good application prospect in the analysis and modeling sports tourism basketball projects by experimental simulation.
The dilemma and path of rural college students returning to their hometowns for employment and entrepreneurship in the post-epidemic period under the background of big data
Authors: Ge Jiajia 
Published: June 2023

Abstract
The dilemma of exploring the children in institutions of higher learning to find jobs or start their own companies of rural origin and return to their hometown is paving the way for college students to find jobs of rural origin. In this paper, a decision tree optimized by a partial least squares regression algorithm is proposed to construct a DT-PLS data classification model in the case of cloud data, and the performance of the DT-PLS model is evaluated for the DT-PLS model. Using college students’ employment and entrepreneurship data from colleges and universities as examples, two factors that influence college students of rural origin to return to the registered permanent residence to find a job or start a company, namely subjective factors and contextual factors, are mined, and data analysis is carried out for the two influencing factors. From the 12 sub-indicators of subjective factors, the mean values of those considered very unconformable, unconformable, uncertain, conformable and very conformable were 17.87%, 15.38%, 10.82%, 16.09% and 39.84%, respectively. Regarding the 10 sub-indicators of contextual factors, the mean values of the percentages of those considered very non-conforming, non-conforming, uncertain, conforming, and very conforming were 6.56%, 20.95%, 13.69%, 26.13%, and 32.67%, respectively. The DT-PLS classification, the main method here, analyzes the current dilemmas of returning college students of rural origin to entrepreneurship and employment and prompts more college students to invest in the grassroots to provide fresh talent blood for rural revitalization.
Public Management Model Based on Mathematical Equation of Statistics of Probability Theory
Authors: Dong Jiansu 
Published: June 2023

Abstract
Firstly, this paper establishes a cloud computing public opinion management business model based on distributed collection analysis, consultative decision and concurrent collaborative behavior. At the same time, this paper studies the public opinion management system from the logical framework, network structure and security index. Then this paper uses the weak correlation mining technology of probability theory statistics to establish a public health and safety public opinion prediction system composed of three dimensions. The content includes three levels of public opinion bonding, thermal and trend. Then, this paper forecasts the development of public opinion events by combining K-Means clustering and grey correlation degree. The results show that this method is suitable for public opinion prediction in public health and safety.
Optimization path of corporate ESG performance and compensation performance management under carbon neutral target
Authors: Que Xiaoping 
Published: June 2023

Abstract
Under the development of low carbon economy with the goal of “carbon neutrality”, high-emission enterprises are facing more severe pressure of energy saving and emission reduction, and how to build and corporate payroll performance management system becomes the key to corporate carbon compliance. And in the green finance-assisted green low-carbon sustainable development has become the development direction, (Environmental-Social-Governance, ESG) evaluation system has also increasingly highlighted its importance, the ESG evaluation system as the leading investment concept in the international has been the mainstream. This paper analyzes the problems of enterprise compensation management system, constructs an optimization model of enterprise compensation management based on Genetic Algorithm-Back Propagation (GA-BP) neural network, and proposes measures to optimize enterprise compensation in the context of ESG performance, taking into account the current international enterprise economic policy background. The study proposes policy recommendations to promote the implementation of green and sustainable development concepts and policies during the 14th Five-Year Plan period, and effectively addresses the adaptation of ESG and corporate compensation management under the goal of carbon neutrality.
The construction of blockchain platform for engineering museums based on vectorized image processing technology
Authors: Du Shuiting , Yuan Hao , Li Ruiqi , Zhang Jinxiu 
Published: June 2023

Abstract
The characteristics of blockchain such as tamper-evident and distributed can effectively solve the increasingly prominent security and privacy issues in engineering pavilions, however, the current throughput of mainstream blockchain platforms is far from meeting the demand for rapid chain-up of massive data in engineering pavilions, and the high redundancy storage mechanism adopted by traditional blockchain cannot be applied to engineering pavilion scenarios. To address the above problems, based on vectorized image processing technology, a hierarchical blockchain architecture is first proposed to store block data in multiple distributed cloud servers and edge servers in a hierarchical manner to cope with the growing data volume in the industrial Internet. Then based on the topology between edge servers, a blockchain network slicing algorithm is designed based on an improved complex network association partitioning algorithm, which improves the blockchain network throughput while shortening the slicing time. Finally, the impact of block broadcast time on throughput is demonstrated by formalizing the block broadcast process as a spanning tree, based on which a spanning tree-based intra-slice master node selection algorithm is proposed to further improve the throughput of the blockchain network. The analysis and experimental results show that the proposed scheme effectively reduces the partitioning time of the blockchain network and the broadcast time of the blocks within each partition. Compared with the classical association partitioning algorithm, this paper's partitioning algorithm can reduce the partitioning time by about 36% without sacrificing the quality of partitioning when partitioning a large-scale network.
New anergy tide control strategy based on Eviews econometric model
Authors: Ding Jian , Li Kun 
Published: June 2023

Abstract
Along with the limited conventional energy sources and the increasingly prominent environmental problems, new energy sources characterized by “environmental protection” and “renewable” are gradually gaining the attention of many countries in the world. In order to accelerate the development of new energy, countries have introduced control strategies for the new energy industry, but the effect is that the seeds are widely planted and thinly sown. This paper constructs a control strategy for new energy trend based on Eviews econometric model through sliding average model calculation, multiple linear regression prediction, statistics of total new energy, new energy usage and new energy market share calculation. The strategy was also experimented, and the experiments analyzed and predicted the development of new energy in the world and China under the new energy trend. The results show that under the Eviews econometric model, the share of world new energy consumption in the total energy consumption market increases from 25% to 80%, while in China the new energy represented by natural gas grows from 698 million cubic meters to 9,671 million cubic meters, a full 70.76%, and with the development of the economy new energy consumption will rise from 5 billion to 11 billion.
Research and implementation of visual question and answer system based on deep learning
Authors: Wu Kunming 
Published: June 2023

Abstract
With the development and improvement of deep learning technology, its application and practice in modal data (image, speech, and text) has been achieved tremendously. In this paper, based on the neural network modality class model in deep learning, we analyze its adaptation to the visual question and answer system, propose a visual question and answer model based on the gated attention mechanism, and construct a question, and answer prediction mechanism adapted to the recurrent neural network transfer model. To address the problem of low accuracy of the model on complex problems, the inference network module is built using visual inference so that the model can extract complex problem features to improve the inference capability of the model. By predicting answers through semantic information about text and visual elements in images, correlations across modalities, and inference, advances in natural language processing and computational vision have led to improved answer accuracy in deep learning-based visual quiz models. Multiple sets of experiments show that models with deep learning inference capabilities answer complex questions with significantly higher accuracy than other existing methods.
Application of BOPPPS teaching model in online and offline blended teaching of college Public Basic Mathematics
Authors: Zeng Xiang 
Published: June 2023

Abstract
As The Times advances, innovating teaching methods, optimizing teaching resources and building online and offline blended teaching environment have become the top priority. Therefore, this paper constructs a BOPPPS model based on active introduction, problem formation, pre-evaluation, participatory learning, evaluation feedback and summary, which aims to help students deeply understand and master the key knowledge of the course and helps teachers effectively improve the teaching effect of the course. The BOPPPS model integrates the education information technology and undergraduate teaching, establishes the closed-loop feedback framework of teaching and learning and gives full play to the main role of students in teaching, which at the same time, provides students with a learning atmosphere of independent inquiry, cooperative learning, knowledge exchange and critical reflection, and achieves good results in teaching practice. The results show that after applying BOPPPS teaching model in the college public basic mathematics course, the scores of students have been primarily more than 90 points, and at the same time, the proportion of students with scores of 80-90 points has been significantly increased, and the percentage of students failing has dropped dramatically. This indicates that the BOPPPS teaching method can significantly increase the proportion of students with high scores, perfect the learning effect, reduce the failure rate, and improve students’ learning enthusiasm and ability to master knowledge.
Exploring the Application of Modern Fine Arts Artistic Modeling and Color in Modern Art Design Based on Information Fusion Technology
Authors: Li Jia 
Published: June 2023

Abstract
The close combination of modern science and modern art design has led design to the path of modernization with the aesthetic characteristics of “modernity”. The modern art design lacks in-depth research on its shape, aesthetic characteristics and color from the perspective of modern design, and rarely even conducts integration research from design innovation and application. Moreover, it has even less of a specific, systematic program of information integration. To this end, this paper analyzes the application of modern fine arts artistic modeling and color in modern art design. A neural network-based information fusion technology is proposed to realize the application of modern fine arts artistic modeling and color in modern art design. The information fusion technology maximizes the retention of the basic form and color combination of modern artistic model, and integrates color elements that are more in line with modern aesthetics to create a unique visual product of modern culture. The experimental results show that information fusion technology can effectively assist MAD.
Optimization of college physical education curriculum based on G-DINA
Authors: Wen Hongze 
Published: June 2023

Abstract
Physical education curriculum in colleges and universities has been paid more and more attention and turned one of the important contents of education curriculum. In order to make up for the deficiency that traditional tests can only get a general score and further optimize the physical education curriculum, this study selected G-DINA model according to Wald statistic, analyzed the physical education curriculum textbooks, and clarified the cognitive attributes and hierarchical relations of the curriculum. Then, pursuant to the attributes and hierarchical relations obtained, this study constructed typical assessment model matrix and developed the curriculum cognitive diagnosis test paper based on Q matrix. Through comparing results of the two physical education curriculum diagnosis test papers based on G-DINA model, it can be seen that the ratio of students who master the attributes A4 and A5 is climbed up to 67.2% and 59%, respectively, which indicates that students’ overall mastery of A4 and A5 knowledge blocks has been significantly improved after teachers’ intensive and in-depth optimized teaching. Therefore, it can be concluded from the above that the optimized teaching of physical education courses in colleges and universities plays a significant role, and at the same time, for teachers, G-DINA model is conductive to fully controlling the teaching feedback effect, timely adjusting the teaching key and difficult points, and predicting the depth and breadth of teaching trend. Even further, the model is helpful for college physical education institutes to deepen the physical education curriculum optimization in colleges and universities.
De novo formation of twig-like middle cerebral artery: An illustrative case
Authors: Kajita Michihide , Yanaka Kiyoyuki , Hanai Sho , Aiyama Hitoshi , Takahashi Nobuyuki , Saiki Shinji , Ishikawa Eiichi 
Published: June 2023

Background:
Twig-like middle cerebral artery (T-MCA) is a rare vascular abnormality characterized by the replacement of the M1 segment of the middle cerebral artery (MCA) with a plexiform arterial network of small vessels. T-MCA is generally regarded as an embryological persistence. Conversely, T-MCA may also be a secondary sequela but no reports of cases of de novo formation exist. Here, we report the first case describing possible de novo T-MCA formation.

Case Description:
A 41-year-old woman was referred to our hospital from a nearby clinic because of transient left hemiparesis. Magnetic resonance (MR) imaging revealed mild stenosis of the bilateral MCAs. The patient then underwent MR imaging follow-ups once a year. MR imaging at the age of 53 showed a right M1 occlusion. Cerebral angiography revealed a right M1 occlusion and formation of a plexiform network consistent with the occlusion site, leading to the diagnosis of de novo T-MCA.

Conclusion:
This is the first case report describing possible de novo T-MCA formation. Although a detailed laboratory examination did not confirm the etiology, autoimmune disease was suspected to have precipitated this vascular lesion.