bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of economic model optimization algorithm for international trade based on big data technology
Authors: Chen Yali , Xiang Zheng
Published: September 2023

The advent of the era of big data has posed greater challenges to the economic model of international trade and opportunities for international trade. In this paper, from the application of big data in international trade, we study the SVM-based big data clustering analysis method for international trade and propose to optimize the objective function in the iterative process by using the individual fitness function of the chicken flock optimization algorithm for the problem that SVM is easy to fall into the optimal local solution. Then, the steps of international trade big data analysis by constructing CSO-SVM are used to forecast international port throughput, international trade exports, and imports. The average absolute error rate of the trained CSO-SVM model for the prediction of international port throughput decreased to 6.19%, and the accuracy of the prediction of international trade export volume and export price reached 86.86% and 87.83%, respectively, and the accuracy of the prediction of international trade import demand and import price reached 86.71% and 87.07%, respectively. During the test, CSO-SVM has higher prediction performance than other models. The analysis based on big data can better quantify the challenges faced by international trade, optimize international logistics scheduling, and improve import and export planning.
Synergistic study of cellulose enzymatic factors and cellulase adsorption properties under bioinformatics
Authors: Yin Liwei , Yang Chuncheng , Zhou Duoqi , Huang Zhu , Zhu Yu , Wu Lin
Published: September 2023

Cellulose enzymatic saccharification is a key link in converting lignocellulose to fuel ethanol via a sugar platform. In this paper, the maximum information coefficient (MIC) algorithm is proposed to detect linear correlations and nonlinear correlations between bioinformatics variables from the application of bioinformatics. Meanwhile, to address the problems of excessive grid division and low statistical efficacy of MIC algorithm, BackMIC, an optimization algorithm using quiz control number of segments, is proposed to terminate the network search using the chi-square test. Then, cellulase hydrolysis and adsorption experiments were designed and performed, and the experimental data were analyzed based on the BackMIC algorithm. The optimum activity temperature of different cellulases was around 50°C, while the hydrolysis rate of cellulases of different treated raw materials increased and then decreased with the increase of temperature, and basically, the maximum was achieved in the temperature range of 50~55°C. In the pH test, the optimum temperature of cellulase hydrolysis was concentrated at 4.4~4.5. In the cellulase adsorption experiments, the enzymatic activity of steam-popped wheatgrass was adsorbed in the following order: FPA> C1> CMCase> β-Case. The study of cellulase hydrolysis based on bioinformatics reveals the synergistic relationship between cellulase hydrolysis and adsorbed properties, which provides a theoretical basis for reducing the ineffective adsorption of cellulose and the development of enzymatic strengthening technology. The theoretical basis for reducing the ineffective adsorption of cellulose and the development of enzymatic enhancement technology can help reduce the cost of lignocellulose enzymatic digestion.
Financial risk assessment management of state-owned enterprises based on cloud accounting in the era of big data
Authors: Zou Xiang
Published: September 2023

To solve the financial risk problem of enterprise financing difficulties and large financing amounts in the era of big data, this paper constructs a financial risk assessment model and evaluates the indexes of enterprise financial risk by combining it with cloud accounting products. Firstly, we assign and determine the weights, use the evidence theory to develop the enterprise financial risk evaluation, and determine the weights of each risk evaluation index. Secondly, we set up a fuzzy evaluation language set, calculate the maximum value of the fuzzy rubric affiliation function for the risk indicators of state-owned enterprises under cloud accounting, pre-process the obtained data, determine the specific indicator weights with the help of fuzzy hierarchical analysis, and carry out consistency tests on them. Finally, the relative importance of each indicator is calculated among the model factors to obtain the overall risk score of cloud accounting enterprise finance. The experimental results show that the risk level measured according to the steps of the cloud accounting risk assessment system, the data confidentiality risk score is 76.14, the cloud accounting product risk is 85.96, the service risk is 72.88, and only one item is higher risk. This shows that the use of cloud accounting financial risk control measures can improve the quality of financial risk management of enterprises.
Analysis of punitive damages in the context of economic law based on the singular value analysis method
Authors: Geng Qiaoying
Published: September 2023

Based on some problems in the punitive damages system that are not conducive to economic development, we take the perspective of economic law to play a positive role in promoting the further improvement of punitive damages. In this paper, the rank of punitive damages is first defined by the singular value analysis algorithm, and the function is set up as a diagonal matrix composed of different vectors, and the square root of the decomposition eigenvalue is the singular value of the matrix. Then the matrix nodes are calculated, and each node is divided into two column blocks and predicted, and the number of nodes is input for the eigenvalue decomposition. The matrix regression coefficients of the independent variables are examined after the decomposition is performed, and the fit of the singular value analysis algorithm in dealing with the compensation problem is derived from this coefficient. The experimental results from a region of the United States show that among 100 large punitive damages cases exceeding $100 million between January 2009 and December 2018, the number of cases of punitive damages in 2010, 2011, and 2013 was only one, and the highest number reached 12 in 2018 illustrating the accuracy of singular value analysis in locating punitive damages, which helps to promote the construction and development of the punitive compensation system and contribute to the stable development of the social economy.
Analysis of robotic calligraphy copying techniques based on linear regression models
Authors: Jiang Jianlong , Huang Kun
Published: September 2023

A new robotic calligraphy system is constructed to address the problem of robotic calligraphy systems that only consider robotic writing in the straight state of the brush pen, enabling robots to write Chinese characters in the tilted state. A linear regression algorithm-based stroke model suitable for robotic brush writing is developed. Then a genetic algorithm is used to obtain trajectory information from the stroke images, and rules for starting, walking, and closing strokes are added to generate virtual stroke images. Finally, the B spline algorithm was used to realize the robot path planning and coordinate transformation to complete the pose calculation and perform the actual writing. The results show that the width of the pairs of strokes deepens as the stroke depth increases and the stroke speed decreases, corresponding to six sets of experimental speeds from 20mm/s to 120mm/s at stroke depths of 3mm and 7mm, respectively. From this, it can be seen that the relative error of most points is smaller than 10%, and the maximum relative error reaches 79.08%. The higher error was due to its lower benchmark value after comparison, which led to a huge error. In particular, as the independent variable increases in the experiment, making the benchmark value increase, its relative error decreases significantly, indicating the accuracy of the fitted model derived. It can be seen that the linear regression model-based robotic calligraphy copying technique helps to improve the robot’s purely repetitive trajectory in the writing process, adding its writing style to the original one and making it closer to humans.
Design and implementation of a process-aware accounting information system to improve business process management
Authors: Song Fenxian
Published: September 2023

As one of the core components of enterprise information system, accounting information systems is facing double pressure from the enterprise management environment and the development of accounting discipline, and the functional application-oriented accounting information system is unable to meet the needs of modern enterprise management. To improve the accounting efficiency of enterprises, this paper proposes a process-aware accounting information system based on data mining to improve business process management, hoping to provide some reference values for the design of the accounting information system of enterprises. Based on this paper, the advantages and disadvantages of typical accounting information system construction methods are analyzed and compared, and the feasibility of process-aware accounting information systems for improving business process management is analyzed in terms of enterprise efficiency, accounting cost, accounting time, risk, and control quality. The feasibility of improving the process-aware accounting information system for business process management is analyzed in terms of enterprise efficiency, accounting cost, accounting time, risk, and control quality. The results show that the process-aware accounting information system with improved business process management is economically and effectively feasible, saves time, reduces accounting risks, and improves management control quality of the enterprise. The process-aware accounting information system with improved business process management reduces the accounting cost of enterprise Y. The accounting cost before is between 100,000 and 200,000, while the accounting cost after using the new system is between 80,000 and 100,000. Company Y’s accounting behavior, logic, and convenience satisfaction increased by at least 10-20% with the new system. So, in general, the process-aware accounting information system for improving business process management helps companies to grow and manage.
A digital teaching model for jurisprudence courses based on a linear regression model
Authors: Luo Jing
Published: September 2023

To cultivate highly qualified legal talents, this paper designs a digital teaching model for jurisprudence courses based on a linear regression model to enhance the teaching effectiveness of jurisprudence courses. Regression modeling deals with the correlation between teaching variables and establishes a linear regression model in the design process. The sample likelihood function is constructed to output the teaching regression coefficients and the metrics of the model fitting effect, the raw data are dimensionless, and the dimensionless model covariance is calculated according to the nature of teaching expectations. On this basis, the digital teaching model of the jurisprudence course was explored to optimize digital teaching resources, adjust the structure, and establish a student evaluation mechanism. To verify the feasibility of this teaching model, its teaching effect was tested. The results showed that the digital teaching model of jurisprudence based on linear regression led to a teaching level of 2.6594%, and students’ mastery of knowledge reached 2.7952%. And the number of students with failing grades decreased by 480%, and the number of students receiving excellent grades increased by 3.53 times, with a teaching quality rating range of [3.95-4.39] points. It can be seen that the linear regression model promoted the jurisprudence course to break through the traditional teaching model and further improve the teaching quality of the jurisprudence course.
Under the background of ideological and political education, the path optimization of college students’ consumption outlook education based on AdaBoost model
Authors: Liu Lili , Bai Qianfan
Published: September 2023

To better help college students establish correct scientific consumption concepts, this paper constructs an analysis model of college students’ consumption views based on the AdaBoost model in augmented learning. Firstly, the consumption data of college students are input into the analysis model and analyzed, and the weights of each sample are initialized. Next, a suitable weak regression model is selected, the corresponding number of iterations is determined, and the current sample weight distribution is updated according to the weak regressor weight coefficients. Using root mean square error adjustment and determining the threshold value, iterative operations are performed. Finally, a strong regression model is derived from analyzing the main factors influencing college students’ consumption perceptions. To verify that the proposed optimization path can help college students establish correct consumption concepts, simulation experiments are designed in this paper. The results show that after relying on peer education to penetrate scientific consumption in the context of Civic Education, some students’ remaining monthly living expenses increased from 300 yuan to 500 yuan. After strengthening self-education to encourage the practice of scientific consumption, the percentage of monthly living expenses stored by male students increased from 5% to 16%. Thus, based on the AdaBoost model, we can derive the factors that affect college students’ consumption to optimize the education path of college students’ consumption concept in a targeted way.
Design of reduced-current overcurrent protection circuit based on GBDT model
Authors: Wen Zhixian
Published: September 2023

To address the problems of slow response and insufficient protection sensitivity of existing overcurrent protection techniques, this paper verifies the feasibility of the design of reduced-current overcurrent protection circuits by using the GBDT model. Firstly, the regression tree is used as a circuit learner for iteration, and the CART algorithm is applied to calculate circuit splitting characteristics and optimal splitting points to obtain the gain of splitting. Then the line loss rate is calculated using the differential evolution method to derive the objective function of the minimized line and the optimal value of the circuit. Finally, the mean value is extracted by calculating the optimal line’s statistical characteristics, the regression tree nodes are calculated using the GBDT model, and the root means the square error is used to verify the effectiveness of the circuit protection design proposed in this paper. The experimental results show that the overcurrent protection value of the circuit sample is around 1.35A and the current limit protection time is around 13ms by verifying the current reduction protection function and indication function of the circuit in the full temperature range. This shows that the GBDT model enables the reduced-current overcurrent protection circuit to perform timely and accurate overcurrent detection actions, and the circuit can be reliably protected under different overcurrent conditions.
Analysis of Liability for Defective Capital Contribution of Company Shareholders Based on Discrete Regression Algorithm
Authors: Wang Weixia
Published: September 2023

From the generation of defective capital contributions to the transfer of transactions, a series of civil disputes and liability responsibilities still need to be explored for a better solution. In this paper, based on the current research status of the defective capital contribution assessment model of enterprise shareholders, we combine the XG Boost model with good classification ability and the logistic regression model with good interpretability and construct a discrete regression (XG Boost-Logistic) model for the evaluation of the defective capital contribution of enterprises. Combined with the data of 123 shareholders’ capital contributions from enterprises’ financial audit reports, the XG Boost discrete model, the Logistic regression model, and the XG Boost-Logistic evaluation combination model were used to conduct empirical analysis and comparative experimental analysis with the evaluation indexes of the model. The research results show that the accuracy rate based on the XG Boost-Logistic evaluation combination model is 87.39%; the efficiency of liability assessment is improved by 7.35% compared with the XG Boost model and 12.38% compared with the Logistic regression model. XG Boost-Logistic evaluation combination model can effectively improve the liability prediction of capital contribution defects classification accuracy and provide a good explanation of shareholder liability classification at the same time and can help companies to avoid financial risks plays a key role.
Optimization of talent training path of broadcasting and hosting art based on matrix model
Authors: Zhang Guoyan , Zhao Yajun
Published: September 2023

This study explores how to optimize the path of talent cultivation in broadcasting and hosting arts. In this paper, the accuracy matrix is established according to the knowledge network graph theory. The accuracy matrix is estimated by the great likelihood function and solved using the Glasso algorithm to construct the accuracy matrix, network model. The matrix model is used to analyze the influencing factors of the career development of broadcast hosts and the relevance of the employment of broadcast host graduates to their majors. In the development path of the broadcasting hosts, the top three influencing factors are academic level, resilience, and expression ability, accounting for 20.69%, 18.77%, and 13.41%, respectively. Regarding professional relevance, only 5.88% of broadcast hosts have a relevance of 0.9 or above in their majors, while only 15.35% of broadcast graduates are engaged in industries with a relevance of 0.9 or above in their majors. The cultivation of talents in broadcasting and hosting art should focus on students’ professional skills and personalities, and always look at the world with a developing vision and seek a way out with an innovative attitude.
Analysis of Folklore Sports Tourism Resources Development and Protection Strategies under the Management of Rural Revitalization Strategy in the Background of Big Data
Authors: Ma Yin , Lyu Chenchen
Published: September 2023

Under the background of big data, how to better promote the development and protection of folklore sports tourism resources under the management of rural revitalization strategy is the important research direction of this paper. This paper is based on the data mining method of clustering analysis under big data technology, which is realized by constructing a clustering feature tree, i.e., a CF tree. Next, formal clustering under unguided data mining is introduced. Combined with the folk sports tourism market in Langxia town, the development of folk sports tourism in Langxia town under the management of rural revitalization strategy is analyzed to lay the foundation for further folk sports tourism resources development and protection strategies. The analysis results show that 45.8% of the tourists participating in rural folk sports tourism are male and 54.2% are female; in terms of age composition, tourists aged 18-59 account for 93.5% of the total; in terms of income level, the middle and high-end tourist population accounts for 32%; in terms of education, 65% of the tourists’ cultural level is undergraduate or specialist. Regarding the characteristics of tourists’ travel behavior, the mode of travel is mainly self-driving; the largest proportion of tourists choose to travel with their families, and the per capita consumption expenditure is below 200 yuan. Under the management of the rural revitalization strategy, the main target groups of folklore characteristic sports tourist attractions should be women, middle-aged and middle-aged people, with higher education levels, and higher incomes.
A Modern Communication Path for Traditional Chinese Cultural Design Concepts Based on AdaBoost Model
Authors: Wu Shuangyi , Meng Sheng
Published: September 2023

Clarifying the integration and communication path of Chinese traditional cultural design concepts and modern art design is beneficial to inherit Chinese traditional culture and innovate modern art design. This paper proposes an SD-AdaBoost classification model based on the AdaBoost algorithm, optimizes the algorithm’s design using the sample density method, and conducts a comparative performance analysis for the model. The SD-AdaBoost classification model is used to mine two research items, application path, and dissemination mode, for the fusion of Chinese traditional cultural concepts and modern art design communication, and relevant data analysis is presented. As far as the application carriers are concerned, they embody different values, but all reflect traditional Chinese cultural ideas. Regarding dissemination methods, social media, recommendation engines, and advertising are better ways to disseminate traditional Chinese cultural ideas and modern art design, accounting for 46.96%, 47.92%, and 45.47%, respectively. Based on the AdaBoost model, we can analyze the current dissemination path of Chinese traditional culture design ideas and grasp how we can better integrate and develop Chinese traditional culture and modern art and design ideas.
Application of genetic algorithm in model music composition innovation
Authors: Xu Delei , Xu Haoming
Published: September 2023

The genetic algorithm-assisted musical composition combines evolutionary computational techniques and artistic composition. In this article, the evolution of musical compositions based on traditional genetic algorithm compositions is combined with interactive genetic algorithm techniques, mainly in model music innovation, using a genetic algorithm to generate an initial population with real number encoding of all individuals. The article focuses on studying the fitness function used to automatically evaluate the automatically generated melodies, perform evolutionary operations on the generated melodies, and generate high-quality model music melodies based on the treatment of evolutionary operations. The evaluation time of the generated melodies by the improved model is reduced from 4 minutes to 0.002 seconds, which makes the composer much more efficient in performing model music composition. The evaluation data of 16 pieces before and after the genetic manipulation were also compared, and it was found that the system evaluated the music after the genetic manipulation significantly higher than the music without the genetic manipulation. The different forms of musical compositions created by the composing system developed based on the technical research of computer genetic algorithm-assisted model music innovation are also a useful supplement to composers’ creations and open a new chapter for the field of artificial intelligence.
Design of a literature-based poetry appreciation system based on perceptron model
Authors: Yang Xunhua , Wang Shuhao
Published: September 2023

With the continuous promotion and popularity of the digitalization of big data information, it has gradually penetrated various industries and played an increasingly important role in people’s lives. In this paper, the design of a literary poetry appreciation system is studied using a perceptron model, focusing on the construction of a literary poetry appreciation system through a generalized multi-layer perceptron model structure and the evaluation of metrics on the poetry appreciation system dataset using the GBP training algorithm and genetic training method. In the generalized multilevel perceptron model, the data indicators are classified into four categories: poetry music, poetry sound effects, poetry vocals, and other types, and the accuracy rates of the four categories of indicators are analyzed. The analysis shows that the accuracy rate of all four categories of indicators is between 92% and 97%, indicating the feasibility of the poetry appreciation system. The generalized multilevel perceptron model was used to analyze and evaluate the students from the ability perspective. It can be seen that the students’ data showed only a small and insignificant improvement in the dimensions of literacy, comprehension, and analysis, while the scores in the dimensions of reasoning, strategy, and expression improved significantly. It provides a good research perspective for perceptual machine model-assisted teaching and cultivating students’ quality from a competence perspective, which is of historical importance for developing and transmitting Chinese literature.
Electromagnetic properties and structure of superconducting materials based on AHP-FCE model
Authors: Feng Qing
Published: September 2023

In this paper, the electromagnetic properties and structural characteristics of superconducting materials are studied based on AHP hierarchical analysis and FCE fuzzy comprehensive evaluation method. A sub-analytical model is established using hierarchical analysis and a weight set is established using FCE fuzzy comprehensive evaluation method, respectively, and a comprehensive evaluation model is established to study the average magnetization intensity and vortex of samples with different pore size types and sizes under the same conditions. Then the superconducting current situation at special locations is studied, focusing on summarizing the structural characteristics of most typical superconductors. The number of vortices in the superconducting square tube gradually decreases as the pore size increases. The maximum absolute value of its average magnetization intensity decreases with the increase of the aperture diameter, while its penetrating magnetic field increases subsequently. The superconducting square tube remains in the superconducting state until the magnetic field reaches a certain value. Most of the superconducting material structures are hierarchical crystal structures, such as MgB2, a simple binary and substance of simple hexagonal crystal system, and AlB2 type simple hexagonal structure with theoretical density of 2.605g/cm3 and dot constants of a=30.84nm and c=35.24nm, which belong to the P6/mmm space group. Superconductors not only have zero resistance properties at critical temperature, but also have electromagnetic properties that conventional conductors do not have at all under certain conditions, so it is important to study the properties of superconducting materials.
Information dissemination of intangible cultural heritage based on random forest model
Authors: Huang Zhaoyan
Published: September 2023

To effectively protect and rationally exploit intangible cultural heritage, it is an issue worthy of deep consideration by experts in related fields nowadays. This paper verifies the optimality of the random forest algorithm for informative voting weighting of ICH and compares learning about accuracy in advance with that of the traditional random forest model. The development mode of implementing communication in formless legacy knowledge with historical characteristics existing various communication structures carriers is analyzed, and the computerized communication of ICH in new media vision is explored and studied. Users mainly learn about ICH through new media channels, accounting for 78.3%, while only 11.3% learn about ICH through traditional media channels. In addition, among the new media channels for the dissemination of ICH, short video platforms are the main source of dissemination, accounting for 67.9%; WeChat platforms and Sina Weibo account for 51.5% and 46.9%, respectively. Therefore, only by implanting the content of ICH culture in the existing material new media carriers and forming a cultural experience of virtual and real integration and interaction can we better promote the display and dissemination of ICH informatization.
Remote fault detection and location of power fiber optic cable based on a logistic regression model
Authors: Wang Xin , Liang Gang , Cu Limin , Li Qing , Hu Changyue
Published: September 2023

The current fiber optic communication network presents the characteristics of network scale, complexity, and efficiency, and the use of traditional means for the maintenance of power fiber optic cable has been greatly limited. In this paper, based on the characteristics of simple structure, convenient construction, strong randomness, strong sequence autocorrelation, and good iterative performance of chaos theory in a logistic regression model, a logistic-based remote fault detection and location system for power fiber optic cables is proposed. The fault location test is carried out through with TMS200 series fiber optic cable automatic monitoring management system and GIS method. The fault location error of the logistic-based fault detection method is less than ±3m, that of the GIS method is less than ±10m, and that of the TMS200 series cable automatic monitoring and management system is less than ±15. The comparison shows that this paper’s fault detection and location system is more accurate and can help maintenance personnel have a faster and more comprehensive understanding of the line situation. Realize the rapid repair work of faults, which provides great help to maintain the fiber optic cable lines.
Information-based teaching model of college modeling foundation course based on ADDIE model
Authors: Huang Yingying
Published: September 2023

Education informatization is an inevitable change in using information technology for education development in the education field in the information age. This study firstly takes Guilin college teachers as the research object, based on the ADDIE model and optimized BP neural network algorithm, and tries to understand the current situation of using informationized teaching resources of basic modeling course college teachers. Secondly, by analyzing the data collected from students’ evaluation of the ability to use informationized teaching resources of drawing design teachers in the basic modeling course, we found that there are still some problems in the informationized teaching of basic modeling courses in colleges and universities, and we explore these problems in depth. The analysis shows that 80.9% of teachers will use teaching equipment when teaching and 92.72% of teachers will use teaching tools. The students rated the teachers’ ability to use informatization teaching resources highly, and about 50% thought that teachers could use them. College teachers need to establish an awareness of lifelong learning and take the initiative to adapt to the needs of information-based teaching.
Construction of social governance capacity evaluation system based on the ADDIE model
Authors: Liu Yuyang
Published: September 2023

To improve social governance capacity, this paper proposes a social governance capacity evaluation system based on the ADDIE model. The system is mainly based on the public’s subjective evaluation of the effect of social governance, and 40 evaluation indicators of social governance capacity are constructed from five aspects: political governance, economic governance, social governance, cultural governance, and ecological civilization construction. Furthermore, the system is applied to test and evaluate the comprehensive development quality of the social governance level in Shandong Province and analyze the effect. In 2006-2014, Shandong economic governance modernization index had the highest weight of 0.3606 in the evaluation of the province’s governance status, followed by the political governance modernization factor and cultural governance modernization factor of 14.80%, and the ecological environment governance capacity weight is only 0.1213, indicating that the province-wide mainly focuses on economic development, and the investment in social and cultural status and ecological, environmental protection is still at a relative disadvantage. The evaluation of social governance capacity is a complex process, and the screening and quantitative evaluation of indicators should be optimized with the current status of social governance.
Analysis of ductility of hybrid fiber ultra-high performance concrete based on improved GA-BP neural network
Authors: Hu Qin , Gao Yuanzhi
Published: September 2023

Ultra-high-performance concrete is a cement-based material with ultra-high strength, outstanding toughness, and excellent durability, which enables structures to achieve larger spans and lighter dimensions. In this paper, an improved GA-BP neural network model is constructed based on BP neural network, which is optimized and improved by the GA algorithm. Then, the experimental data were input into the improved GA-BP neural network model by designing experiments with different types and volume doping of blended fiber UHPC, and the ductility of blended fiber UHPC was analyzed in terms of compressive strength and tensile strength. In terms of compressive strength, the compressive strengths of each group of PE fibers with 0.5%, 1.0%, and 1.5% volume doping were from PD/S<PD/H<PA/S<PA/H. In terms of tensile strength, the 1.0% volume doping of short straight type S and 1.5% volume doping of end hook type H had the best effect, and the tensile strength reached 12.44 MPa. GA-BP neural network can effectively analyze the factors influencing the ductility of blended fiber ultra-high performance concrete.
Evaluation of the effect of dance therapy for children with high-functioning autism based on the LightGBM model
Authors: Ma Fubo
Published: September 2023

In the context of big data development, the problem of evaluating the effectiveness of dance therapy for children with autism has attracted the attention of researchers. In this paper, feature selection and model construction use the Pearson correlation coefficient and sequence forward selection method to select the optimal feature subset through a Bayesian algorithm-based optimization of integrated LightGBM model, LightGBM model for Latin dance, aerobics, ballet, jazz, street dance, folk dance six autistic children treatment effect evaluation of weight and accuracy rate indicators. In the weight index, 93.4% of the improved LightGBM model performed better than 83.2% of the traditional LightGBM model. In the accuracy index, 95.6% of the improved LightGBM model performed better than 93.4% of the traditional LightGBM model. This study has a guiding reference value for treating autism in children, thus helping more autistic patients.
General layout design of mountain PV plant based on array spacing planning
Authors: Bai Yaoqing , Li Lingling , Lyu Chao
Published: September 2023

Reasonable determination of the installation inclination and array spacing of PV power plant modules is essential to improve the power generation efficiency of PV power plants. This paper firstly derives the formula for calculating the north-south spacing of PV arrays with arbitrary slope inclination and visualizes the north-south spacing of complex mountain PV arrays using ArcGIS. Secondly, a mountain PV array system is proposed to ensure that the system can still operate at the maximum power point in real-time when the solar radiation intensity changes drastically due to unpredictable environmental variables. Finally, to verify the feasibility of the active PV array system in real-life production, an experimental platform is built, and an operational test experiment of the active PV array system under partial shading conditions is conducted, as well as a long-term power boost comparison test. The experimental results show that the mountain PV array system has a 95.7% matching degree in the operation test experiment, which can be perfectly adapted to most PV plants; in the power boost comparison test, the power generation of the traditional PV system is 254Wh, and the power generation of the mountain PV array system is 483Wh, which is about 1.9 times higher than the performance of the traditional PV system. The mountain PV array system has good adaptability to various harsh and unexpected conditions and solves the problem of improving the power output of PV systems in the shadow-shaded environment of mountainous areas, which improves the general usability of PV.
An Exploration of the Challenges of Cross-border Data Flow for International Investment Law by Counting and Fuzzy Numerical Analysis Algorithms
Authors: Wang Qiao
Published: September 2023

In the context of globalization, cross-border data circulation has brought many challenges to international investment law. Based on fuzzy theory, this paper constructs the affiliation function of cross-border data flow for the fuzzy set of international investment law based on fuzzy theory statistical experiment strategy, then establishes the fuzzy numerical analysis method, and uses the entropy weight method to strengthen the connection between the weights and the initial data for the problem that the index weights are not objective enough. The entropy-weight-based fuzzy numerical analysis method will then study the privacy risk, management risk, and strategic risk brought by cross-border data growth to international economic cooperation. From 2010 to 2019, the privacy risk of cross-border flowing data increased by 32.16% on average, the management risk increased by 37.84% on average, and the strategic risk increased by 167.31% on average. Although none of these 3 risk assessments have yet exceeded 50%, they still challenge major economies to balance the regulation of cross-border data security and promote capital cooperation and circulation. Faced with the challenges brought by cross-border data flow, countries should start by improving international investment agreements and enhancing international consensus, take advantage of the advantages of large data resource countries, and promote the establishment of new rules for cross-border data flow.
Tracing down the updates on Ebola virus surges: An update on anti-ebola therapeutic strategies
Authors: Malik Shiza , Waheed Yasir
Published: September 2023

Ebola virus (EBOV) related health complications have presented a great threat to the healthcare system in the endemic regions. The outbreaks of 2013-2016 and 2018-2020 brought along a huge healthcare burden for the afected communities. Knowing the seriousness of the matter, a series of research experiments have been actively carried out to devise efective therapeutics, drugs, and vaccination protocols against the Ebola virus disease (EVD) in the past decade. The purpose of this piece of literature is to shed light on vaccination protocols being clinically evaluated for EVD. A methodological approach has been adopted to gather relevant data from the latest publications. The compiled data include the molecular mechanistic insights into Ebola infection and a brief overview of diferent vaccination strategies: inactivated and DNA vaccines, virus-like particles and replicons, reverse genetic and recombinant approaches, entry, ion, and gene expression inhibitors, and some repurposed drugs. This data will help the scientific community to get a comprehensive overview of therapeutic interventions against Ebola that could be related to modifying EBOV vaccines and designing other antiviral vaccinations. Having said that, further work in modern therapeutic design is pertinent to tackle and lessen the healthcare burden expected from such outbreaks in the future.
Endoscopic diagnosis and treatment of superficial non-ampullary duodenal epithelial tumors: A review
Authors: Zhao Zheng , Jiao Yue , Yang Shuyue , Zhou Anni , Zhao Guiping , Guo Shuilong , Li Peng , Zhang Shutian
Published: September 2023

The surface of the small bowel mucosa is covered more than any other section of the digestive canal; however, the overall prevalence of small bowel tumors of the whole gastrointestinal tract is evidently low. Owing to the improvement in endoscopic techniques, the prevalence of small bowel tumors has increased across multiple countries, which is mainly due to an increase in duodenal tumors. Superficial non-ampullary duodenal epithelial tumors (SNADETs) are defined as tumors originating from the non-ampullary region in the duodenum that share similarities and discrepancies with their gastric and colorectal counterparts in the pathogenesis and clinicopathologic characteristics. To date, white light endoscopy (WLE) remains the cornerstone of endoscopic diagnosis for SNADETs. Besides, narrow-band imaging (NBI) techniques and magnifying endoscopy (ME) have been widely used in the clinic and endorsed by multiple guidelines and consensuses for SNADETs’ evaluation. Confocal laser endomicroscopy (CLE), endocytoscopy (ECS), and artificial intelligence (AI) are also up-and-coming methods, showing an exceptional value in the diagnosis of SNADETs. Similar to the endoscopic treatment for colorectal polyps, the choices for SNADETs mainly include cold snare polypectomy (CSP), endoscopic mucosal resection (EMR), endoscopic submucosal dissection (ESD), and laparoscopic endoscopic cooperative surgery (LECS). However, owing to the narrow lumen, rich vascularity, weak muscle layer, abundant Brunner’s gland, and the hardship of endoscope control, the duodenum ranks as one of the most dangerous operating areas in the digestive tract. Therefore, endoscopists must anticipate the difficulties in endoscopic maneuverability, remain aware of the increased risk of complications, and then select the appropriate treatment according to the advantages and disadvantages of each method.
Approach to different thrombolysis techniques and timing of thrombolysis in the management of portal vein thrombosis in cirrhotic patients
Authors: Primignani Massimo , Tosetti Giulia , Ierardi Anna Maria
Published: September 2023

Thrombolysis is not currently recommended in cirrhotic patients with acute portal vein thrombosis (PVT) in most guidelines, because of the exceedingly limited data and the perceived high risk of bleeding adverse events. However, in the few studies including patients with cirrhosis, the rate of success was high and that of adverse events was similar in patients with or without cirrhosis. Hence, thrombolysis might be a rescue therapeutic option in patients with cirrhosis and acute, symptomatic thrombosis of the portal venous system, unresponsive to anticoagulation, provided a suitable timing is kept, less than 30 days and, if possible, less than 14 days from the acute onset of portal vein thrombosis. In this review perspective article, I discuss the several potential approaches of thrombolysis, either local or systemic, alone or combined with mechanical procedures for thrombus removal, or as a complement to Transjugular Intrahepatic Portosystemic Shunt placement, with a focus on the more suitable timing of thrombolysis. However, the very limited available data preclude from performing firm recommendations, and decision to carry out thrombolysis must take into account both the occurrence of major contraindications and the current critical clinical setting. In the next future, large high-quality multicentre studies will hopefully be able to settle more firm indications and preferable techniques.
The Impact of Sowing Time and Biostimulant Application on Seed Production in Italian Ryegrass
Authors: Akdağ Nurbaki , Avcı Süleyman
Published: September 2023

This research was performed to determine the effects of different sowing times (ST1, ST2, and ST3) and biostimulant (Pi-NFS) doses (0, 100, 250, 500 ml da-1) on seed yield components of Italian ryegrass ryegrass (Lolium multiflorum L.) in the continental condition of Eskişehir, Turkey. The results indicated that the main factors significantly affected the seed yield components except for the effect of sowing time on plant height, however, the interaction effect of these factors was significant only on the number of the reproductive tillers and seed yield. There was no significant difference between the ST1 and ST2 in terms of the number of the reproductive tillers, thousand seed weight, and seed yield. Likewise, the values of these components did not differ significantly in the doses of 250 and 500 ml da-1. The highest seed yield was derived from the dose of 500 ml da-1 at ST2 and the values obtained from the doses of 250 and 500 ml da-1 at the ST1 were in the high seed yield group. It was concluded that early sowing time and the doses of 250 to 500 ml da-1 biostimulant application resulted in high seed yield in Italian grass. On the other hand, the dose of 500 ml was more effective in case of delayed sowing time like ST2.
Economic Analysis of Seed Inoculation and Phosphorus Doses Application in Cowpea (Vigna unguiculata L.)
Authors: Poudel Ankita
Published: September 2023

The study about the economic returns of cowpea (Vigna unguiculata) by the use of rhizobium seed inoculation and different phosphorus doses was conducted at Bharatpur, Chitwan, from February to May 2022. The experiment was conducted in a two-factor randomized complete block design (RCBD) with three replications and eight treatments. Treatments were set as factor A: seed inoculation i.e., un-inoculated and inoculated; and factor B: four different phosphorus doses (20, 40, 60, 80 kg ha­-1). The cowpea variety ‘Prakash’ was used. Results revealed that the application of seed inoculation provides the highest returns compared to an un-inoculated one; similarly, in case of phosphorus dose of 40 kg P2O5 ha-1 gives the maximum economic returns compared to other phosphorus doses. Furthermore, the interaction of rhizobium inoculation with 40 kg ha­-1 gives the highest gross income (NRs. 216005), net return (NRs. 110829.39) and B: C (2.05) compared to all other single inoculation or phosphorus or interaction treatments ( 1 $ = NRs. 132.53) . From the result, it is concluded that the use of rhizobium inoculation along with 40 kg P2O5 ha­-1 would be economically profitable for the farmers under the Terai conditions of Nepal.
A Production Analysis of Dry Onion Powder from the Water Perspective
Authors: Oyedele Oyelayo Ajamu , Adeoti Olusegun , Akinola Funke Florence
Published: September 2023

Nigeria’s dry onion production amounted to 1.38× 106 metric tonnes (t) in 2020. Roughly 50% of yearly production do not reach the table. An option lies in converting fresh dry onions to dry onion powder to mitigate postharvest losses. This study explores the possibility of producing dry onion powder from fresh dry onions using a pre-tested locally fabricated direct-mode solar tent dryer. The outcome of processing revealed a product yield of 8.09%, while there was no statistically significant difference between the measured proximate contents of powder and fresh dry onions (t(28)=0.04, p=0.97, two-tailed; eta square=5.71 × 10-5). Overall, the production of dry onion powder was not water neutral. About 4.5 cubic metres (m3) of freshwater per tonne of cleaned onions were needed during processing. Dry onion powder production (from field to table) freshwater use amounted to 31879.6 m3/t. Converting 40 - 60% of national average dry onion production (2000-2020) to dry onion powder would consume 14.05 - 21.08 × 109 m3 of Nigeria’s freshwater. This study affirms that dry onion powder production is technically feasible and can help to minimise dry onion production postharvest losses in Nigeria.