bluuebunny/crossref_metadata_2025 huggingface dataset:
Visual Analysis of Sports Actions Based on Machine Learning and Distributed Expectation Maximization Algorithm
Authors: Luo Yan
Published: June 2022

In order to improve the scientificity of sports action analysis, this paper constructs a sports action analysis model based on machine learning based on the greedy algorithm and the bat algorithm. According to the structural characteristics of the model, the structure of the model is reflected in the form of face order, that is, the face neighborhood structure. Moreover, this paper judges the degree of similarity between model faces through the pros and cons of the order and applies it to the structural similarity matrix between models. In addition, this paper establishes corresponding mathematical models for the shape and structure of the model and constructs the shape similarity matrix, the surface neighborhood structure similarity matrix, and the structure similarity matrix between the source model and the target model. Finally, this paper designs and implements CAD model retrieval methods based on greedy algorithm and bat algorithm and designs experiments to compare the performance of the algorithm proposed in this paper with traditional algorithms. The result of the experiment shows that the algorithm proposed in this paper has obvious advantages in sports action analysis compared with the traditional algorithm.
Based on the Role of Intelligent Multimedia Man-Machine Exchange in Product Design
Authors: Su Fei
Published: June 2022

Designing human-computer interaction, as the name suggests, is a branch of the study of how humans and machines (or systems) communicate or operate to better adapt machines to humans. We must first have a complete understanding of the human body. Only by fully understanding your own body’s ability to stretch and range of activities can you be confident in your own abilities, so that people can better use us in the design and construction of machinery or systems. This article aims to study the role of intelligent multimedia man-machine exchange in product design, so as to realize the application and development of intelligent multimedia man-machine exchange technology in various fields. This paper proposes to focus on human-computer interaction design and also proposes the algorithm of PNSR index and the method of remote control of equipment and human-machine monitoring. Through the performance, development prospects, and development trends of human-computer interaction design in product design, human-computer interaction is introduced. The importance is of interaction design in today’s product design. The experimental results of this paper show that the intelligence coefficient of my country’s main intelligent network equipment has reached 245, which has exceeded the world average coefficient level and its utilization rate has exceeded 39%. Therefore, the conclusion of this paper is that human-computer interaction design plays a role in promoting the development of mobile products. It plays an important role.
BERT-BiGRU Intelligent Classification of Metro On-Board Equipment Faults Based on Key Layer Fusion
Authors: Liu Endong , Lin Junting
Published: June 2022

Metro train operation may result in massive and complex unstructured fault text data. To solve the problem of low classification accuracy and incomplete classification effect of unstructured fault data automatic classification task, a BERT-BiGRU fault text classification model based on key layer fusion is proposed. Firstly, the unstructured text data is processed into word vectors with location information in the word embedding layer and then input into the BERT layer. Based on the traditional 12-layer BERT model, the semantic information is fully obtained by encoding the two-way transformer encoder in layers 2, 4, 6, 8, and 12 for fusion and dimensionality reduction, which is then input into the BiGRU layer to extract the context information to obtain the high-level feature representation of the text. After that, the final classification results are output in the output layer through the full connection layer FC and softmax functions. This model is tested with other mainstream models on the fault text data of metro on-board equipment. The experiment results show that on the same data set, the

F

1

-score of this model is 7%~8% higher than that of the current mainstream classification model, that is, about 1~2% higher than that of other PLMs, and the

F

1

-score of this model is higher than that of BERT model with different transformer layers, reaching the highest value of 0.9272, and the convergence speed in the training process is fast.
Fibropreventive and Antifibrotic Effects of Uncaria gambir on Rats with Pulmonary Fibrosis
Authors: Desdiani Desdiani , Rengganis Iris , Djauzi Samsuridjal , Setiyono Agus , Sadikin Mohamad , Jusman Sri Widia A. , Siregar Nuryati Chairani , Suradi Suradi , Eyanoer Putri C.
Published: June 2022

Pulmonary fibrosis causes scar tissue formation that disrupts the functioning of the lungs. Uncaria gambir (Hunter) Roxb (hereafter gambir)—a plant native to West Sumatra in Indonesia—contains flavonoid (+)-catechin, which has strong antioxidant activity and can be used to combat pulmonary fibrosis. This random in vivo experimental study analyzed the antifibrotic effect of gambir on the lungs of rats with bleomycin-induced fibrosis. The subjects were 10 groups of 10-week-old male rats weighing around 200–250 g. All groups were terminated at the end of the seventh week or on day 50. The lungs were cleaned, and tissues were taken to analyze inflammatory cell counts and TGF-β1 levels using bronchoalveolar lavage (BAL) with ELISA; type I collagen and tissue inhibitor of metalloproteinase 1 (TIMP-1) levels using immunohistochemistry (IHC); and activation of NF-κB using ELISA and Western blot assays. The most severe histopathological characteristic based on the modified Ashcroft score was in the bleomycin group (BG), whereas the mildest was in the 262 mg/kg of the bodyweight antifibrotic gambir-dosed group (AF G262). The results showed a significant difference in the BAL inflammatory cell count (

p
=
0.017

;

p
<
0.05

). AF G262 differed most from the other antifibrotic groups in terms of the number of inflammatory cells (0.63), TGF-β1 levels (3.80), and NF-κB levels (0.48), followed by the 131 mg/kg of the bodyweight antifibrotic gambir-dosed group (AF G131), which also differed most from other antifibrotic groups in terms of NF-κB (0.48), TIMP-1 (11.74), and collagen I (14.50) levels. Western blot analysis showed that the fibropreventive and antifibrotic groups had a specific band size of p65, whereas no specific band binding existed in the control group. This study concluded that the administration of AF G262 could improve fibrosis by lysing the extracellular matrix (ECM) in rat lungs.
College English Teaching Evaluation with Neural Network
Authors: Sun Li
Published: June 2022

The notion of abilities in colleges and universities is undergoing a substantial transition, and the accompanying curricular view is also evolving in response to the demands of social and economic development. Students who are not English majors in college or university play a critical role in growing their knowledge of foreign languages, improving the quality of foreign languages, and fostering their capacity to use the language in real-world situations. As a result, one of the most important methods to assess the quality of a college's curriculum is to look at how well it teaches English. Consequently, how to evaluate collegiate English instruction has become a major concern. This research offers a neural network (NNs) for evaluating collegiate English education based on the BP network’s application principle. The main work is as follows: (1) based on the peculiarities of college English teaching assessment, the weights and thresholds of the BP network are tuned using the global optimization ability of the ant colony algorithm. (2) To improve optimization ability of ACO, an update of pheromone is realized by combining global as well as local methods. In formula of the global update pheromone, a function is added to adjust the information residual coefficient according to the distribution of the solution. The residual coefficient of the local pheromone is adjusted according to the way of the minimum error judgment. (3) Optimize the BP algorithm with the improved ant colony optimization (IACO), build the IACO-BP network, and comprehend the optimal selection of weights and thresholds. Optimized BP algorithm is applied to the English teaching evaluation.
[Retracted] Research on the Effect Evaluation of Urban Regional Environmental Management and Control Based on Data Depth Mining
Authors: Huang Qingzi
Published: June 2022

Industrial and economic development in China are both advancing at a rapid rate. China is currently the world’s second‐largest economy. The immediate result of China’s continuous economic development is a steady improvement in people’s living standards, the great improvement of living environment compared to the past, the deepening of the national urbanization level, and cities becoming the first choice for people’s living and life. Nonetheless, as the number of city dwellers continues to rise, the management and control of China’s urban regional environment face increasingly difficult challenges. The constant production of domestic waste by urban residents has a significant impact on the urban environment. Therefore, government departments have issued corresponding urban regional environmental control measures to improve the appearance of the urban environment at the government level. Due to the enormous size of the city, however, urban regional environmental control affects every aspect of residents’ lives. It has become extremely challenging to objectively, effectively, and precisely evaluate the impact of urban regional environmental control. On the basis of this issue, this paper seeks to develop an evaluation system employing data deep mining technology and computer and artificial intelligence‐related technologies in order to achieve an objective evaluation of the effect of environmental management and control in urban areas and to provide a scientific foundation for the subsequent decision‐making by government departments. Moreover, the model is highly robust and compatible with different levels of management and control regulations, even when the control effect of the corresponding control deployment is evaluated objectively.
Parameter Sensitivity Analysis of the Hydraulic Fracture Growth Geometry in a Deep Shale Oil Formation: An Experimental Study
Authors: Shi Shanzhi , Zou Yushi , Hao Lihua , Chen Beibei , Zhang Shicheng , Ma Xinfang , Zhang Shipeng
Published: June 2022

The depth of shale oil of Fengcheng Formation in Mahu of Junggar Basin, China, is 4500-5000 m. The horizontal principal stress difference of deep shale reservoir is high, which makes it difficult to form complex fractures during fracturing reconstruction. In order to fully understand the law of hydraulic fracture propagation in the formation during fracturing construction, the anisotropy characteristics and basic reservoir physical parameters (mineral composition and rock strength parameters) of rock were obtained through mineral composition test and indoor rock mechanics test (Brazil splitting test), and it was found that the heterogeneity was strong. The true triaxial fracturing simulation experimental system is used to carry out experimental research on full-diameter core rock samples, and the propagation patterns of hydraulic fractures under the influence of different geological factors (in situ stress difference and natural fractures) and engineering factors (pumping rate and fracturing fluid viscosity) are compared and analyzed. The results show that the in situ stress is the most important factor affecting fracture propagation, which determines the direction and shape of fracture propagation. The natural weak surface (lamina/bedding and natural fractures, etc.) in shale reservoir is an important reason for complex fractures. The nature of the weak plane, occurrence, and in situ stress jointly determine whether the fracture can extend through the weak plane. With the increase of pumping rate (18 mL/min to 30 mL/min), the ability of hydraulic fractures to penetrate layers is continuously enhanced. The horizontal principal stress difference of deep shale reservoir is high, and the low viscosity fracturing fluid (10 mPa·s) tends to activate the horizontal bedding, while the high viscosity fracturing fluid (80 mPa·s) tends to directly penetrate the bedding to form the vertical main fracture. Therefore, the fracturing technology of alternating injection of prehigh viscosity fracturing fluid and postlow viscosity fracturing fluid can be adopted to maximize the complexity of fracturing fractures in deep shale reservoirs. The research results are designed to provide theoretical guidance for prediction of hydraulic fracturing fracture propagation in shale reservoir and have certain reference significance for field construction.
Full Scale Test and Numerical Simulation Based on Artificial Intelligence Background Analyze Hydraulic Structures and Derive Weir Height Equation
Authors: Cao Xiuqin , Hong Guoyuan
Published: June 2022

The confluence overflow facility with transverse weir is adopted in China to reduce the occurrence of overflow. Under normal conditions, most of the facilities do not overflow. The study on the hydraulic structure without overflow is helpful to improve the pollutant interception efficiency. In addition, the weir height equation for different intercepting pipe diameters was required. Full scale experiments and simulation studies were carried out, and the reliability of the simulation results was verified by experiments. The simulation describes the hydraulic structure and shows that the backflow area appears on the side of the chamber away from the interceptor and at the inlet of the pipe. The results show that when the ratio of weir height to pipe diameter is less than 1.2, the closure pipe is non pressure closure, when the ratio is from 1.2 to 1.75, it becomes half pressure, and when the ratio is greater than 1.75, it is converted to pressure. The increased rate of intercepting flow with the rise of weir height would change under the effect of different flow characteristics. Based on the experimental data distribution and the hydraulic characteristic, the weir height equation was deduced for the pipe diameter of 0.4 m. Other pipe diameter simulations showed that this equation was also applicable.
Color Matching in Children’s Room Based on Computer Interactive Experience
Authors: Huang Jia
Published: June 2022

In order to improve the effect of color matching in children’s room, this paper studies the color matching of children’s room combined with computer interactive experience technology. Moreover, this paper analyzes the basic knowledge of colorimetry, the principle of color measurement equipment, the basic concepts and mathematical models of color conversion, equipment color characteristic correction, and color gamut matching used in color management research and analyzes the color perception in the process of computer interaction experience. The color design method based on hue harmony is a color harmony design method extracted on the basis of the basic color system and Chevrel’s theory of color harmony. The experimental research shows that the indoor color matching system for children’s room based on computer interactive experience proposed in this paper has a good color matching effect.
Fast Trajectory Generation Method for Midcourse Guidance Based on Convex Optimization
Authors: Zhang Jinlin , Li Jiong , Zhou Chijun , Lei Humin , Li Wanli
Published: June 2022

To generate the midcourse guidance trajectory for intercepting the high-speed and high maneuvering target, which is a strongly nonlinear and strongly constrained problem, a two-stage convex optimization method is proposed to solve the optimal trajectory quickly. In the first stage, an initial trajectory generation method is proposed, by which the trajectory’s terminal state is close to the terminal position. And the generated trajectory is used as the initial solution of the convex optimization method. In the second stage, the original nonconvex optimization problem is transformed into a convex optimization problem by linearization and relaxation methods and then solved discretely. In the numerical simulation, the effectiveness of the proposed method is verified, and the robustness of the method is verified in different initial and terminal states. Then, several ablation experiments are operated to verify the advantage of the rapid initial trajectory generation method in the first stage. Finally, compared with the gauss pseudospectral method (GPM), the proposed method is proved to be efficient and has the potential of online trajectory generation.
The Dynamic Effect of Unemployment Rate and Crime Rate on Suicide Rate under Economic Growth Rate
Authors: Chen Ssu-Han , Yang Tzu-Yi , Yang Yu-Tai , Wang Chiu-Yen
Published: June 2022

In this study, the panel smooth transition regression model was used for an empirical survey to investigate the dynamic effect of unemployment rate and crime rate on suicide rate under economic growth rate. The research period was from 2000 to 2019. Statistical results indicated that unemployment rate and crime rate had dynamic effects on suicide rate and that nonlinear relationships existed among them. In addition, depending on the fluctuation of dynamic value, the rise or fall of suicide rate had an asymmetrical influence on the value of unemployment rate and crime rate. Finally, when the rate of change of economic growth rate was larger than the dynamic value, the unemployment rate and crime rate had an aggressive influence on suicide rate.
Influence of Different Surgical Timing after Percutaneous Kyphoplasty for Osteoporotic Vertebral Compression Fractures: A Retrospective Study
Authors: Liu Hao , Wang Wenhao , Huang Yixue , Hu Xiayu , Li Xuefeng , Yang Huilin
Published: June 2022

Background. A large number of people suffer from osteoporotic vertebral compression fractures (OVCFs) worldwide. Percutaneous kyphoplasty (PKP), considered a minimally invasive surgery, has been widely used to treat OVCFs and achieves satisfactory outcomes. However, the surgical timing of PKP is still under discussion. Methods. A total of 149 patients were enrolled in the study and were divided into 3 groups according to different surgical timing. Group A (n = 52) included patients who required emergency surgery. Group B (n = 50) included patients who required surgery around a week after injury. Group C (n = 47) included patients who required surgery a month or more after injury. Characteristics of patients and radiological images were recorded. The Visual Analog Scale (VAS) scores and the Oswestry Disability Index (ODI) scores were analyzed before, 1 day, 1 month, and 6 months after surgery. In addition, compression rates of anterior vertebral height (AVH) were calculated and the kyphosis Cobb angle was measured before and after surgery. Results. There was a significant difference in the VAS and ODI scores between the three groups at 1 day, 1 month, and 6 months after PKP. The VAS and ODI scores of Group C were higher than those of Groups A and B. The AVH compression rates of Group C were significantly higher than those of Groups A and B postoperatively 1 day, 1 month, and 6 months. The kyphosis Cobb angles in Group C was significantly larger than those in Groups A and B at 1 day and 1 month after PKP. Conclusions. Emergency PKP showed more advantages in both clinical and radiological outcomes. We recommend early PKP for the treatment of OVCFs.
Application of Sustainable Education Innovation in the Integrated Teaching of Theory and Practice Adopted in the Auto Chassis Course
Authors: Chen Tzu-Chia , Yu Jiuqi , Golmohammadi Amir-Mohammad
Published: June 2022

With the swift advancement of the auto repair industry, the demand for relevant talents and professionals in auto repair is thereby increasing steadily. Meanwhile, due to higher and higher expectations and requirements from contemporary society towards these professionals, it is a must to continuously reform the course teaching mode adopted for the auto repair specialists in the secondary vocational schools to adapt to the market needs ultimately. The study’s primary aim was to investigate the application of sustainable education innovation in the integrated teaching of theory and practice adopted in the auto chassis course. Some research tools such as fuzzy Delphi method, fuzzy failure mode and effect analysis (FFMEA), and theory of inventive problem‐solving (TRIZ) have been employed during the research process. After surveying and collecting the security incidents, which occurred in the integrated teaching of theory and practice adopted in the automobile chassis course, the presented reality that teachers were reluctant to accept the integrated teaching of theory and practice, and the deficiencies sensed in the school‐enterprise engagement; the researcher firstly obtained the risk priority number (RPN) of each deficiency above via fuzzy failure mode and effect analysis (FFMEA) and accordingly expounded how TRIZ was applied under this circumstance. Furthermore, the conflicts among the enterprise, school, teachers, and students were explored in sequence utilizing technical contradiction solutions. Henceforth, three strategies were generated and proposed aimed at enhancing the integrated course teaching of theory and practice for the automobile chassis major: (1) hardware construction, involving the construction of not only the teaching workplace and teaching equipment but also teaching faculty training; (2) resource construction, along with the construction of school‐based courses; and (3) improvement of classroom teaching. At the last stage, the three advancement strategies' validity was verified based on the implementation of a six‐month remedial period.
Genetic Polymorphism of E2F1 Influences Susceptibility to Ovarian Cancer in a Chinese Population
Authors: Wu Yueyuan , You Zhiqun , Xu Mindan
Published: June 2022

Purpose. The present study is aimed at exploring whether rs3213172, rs3213173, and rs3213176 polymorphisms of the E2F1 gene confer risk for ovarian cancer. Methods. A total of 80 patients with ovarian cancer were selected from the first affiliated hospital of Soochow University in Jiangsu Province from January 2016 to June 2021, including 48 cases that were premenopausal and 32 cases that were menopausal. 130 healthy women who participated in normal physical examinations during the same period were selected as the control group. The rs3213172, rs3213173, and rs3213176 polymorphisms of the E2F1 gene were detected by the fluorescent probe method. Results. For rs3213173 and rs3213176 loci, there were no statistical significances in genotype distribution frequency between the ovarian cancer group and the control group (P > 0.05). For rs3213172 loci, a significant difference was observed in CT genotype between the ovarian cancer group and the control group (P = 0.024). Conclusion.E2F1 gene rs3213173 and rs3213176 polymorphisms confer no risk to ovarian cancer risk. The CT genotype of E2F1 gene rs3213172 polymorphism is associated with an increased risk of ovarian cancer, and E2F1 gene rs3213172 polymorphism may be a novel marker for the risk prediction of ovarian cancer.
Cannabis Extract Effects on Metabolic Parameters and Gut Microbiota Composition in a Mice Model of NAFLD and Obesity
Authors: Zandani Gil , Anavi-Cohen Sarit , Assa-Glazer Tal , Gorelick Jonathan , Nyska Abraham , Sela Noa , Bernstein Nirit , Madar Zecharia
Published: June 2022

Nonalcoholic fatty liver disease (NAFLD) is a major cause of chronic liver abnormalities and has been linked with metabolic syndrome hallmarks. Unfortunately, current treatments are limited. This work aimed to elucidate the effects of three cannabis extracts on metabolic alteration and gut microbiota composition in a mouse model of NAFLD and obesity. Male mice were fed with a high-fat diet (HFD) for 12 weeks. Following the establishment of obesity, the HFD-fed group was subdivided into HFD or HFD that was supplemented with one of three cannabis extracts (CN1, CN2, and CN6) for additional 8 weeks. Metabolic parameters together with intestinal microbiota composition were evaluated. Except for several minor changes in gene expression, no profound metabolic effect was found due to cannabis extracts addition. Nevertheless, marked changes were observed in gut microbiota diversity and composition, with CN1 and CN6 exhibiting microbial abundance patterns that are associated with more beneficial outcomes. Taken together, specific cannabis extracts’ addition to an HFD results in more favorable modifications in gut microbiota. Although no marked metabolic effect was disclosed, longer treatments duration and/or higher extracts concentrations may be needed. More research is required to ascertain this conjecture and to establish the influence of various cannabis extracts on host health in general and NAFLD in particular.
Influence of Caprock Morphology on Solubility Trapping during CO2 Geological Sequestration
Authors: Punnam Pradeep Reddy , Krishnamurthy Balaji , Surasani Vikranth Kumar
Published: June 2022

Carbon capture and sequestration (CCS) technology is one of the indispensable alternatives to reduce carbon dioxide (CO2) emissions. In this technology, carbon capture and transport grid will send CO2 to the storage facilities that are using various storage techniques. Geologic carbon sequestration (GCS) is one such storage technique where CO2 is injected into a deep geological subsurface formation. The injected CO2 is permanently stored in the formation due to structural, residual, solubility, and mineral trapping phenomena. Among different trapping mechanisms, solubility trapping plays a significant role in the safe operation of GCS. In this work, the study is conducted to elucidate the influence of top surface caprock morphology on the solubility trapping mechanism. The simulation results show that the naturally available heterogeneous formations with anticline and without anticline structure influence the solubility fingering phenomena and solubility entrapment percentage over a geological time scale. The lateral migration and sweeping efficiency results of both the synthetic domains for the injected CO2 have shown the importance of caprock morphology on solubility trapping and selection of injection rate. Quantification of solubility trapping in two morphological structures revealed that the synthetic domain without anticline morphology had shown higher solubility trapping. In the future, the simulation data using Artificial Neural Networks can be applied to predict the structural and solubility trapping of geological formations. This analysis further helps incorporating the interaction of CO2 with porous media leading to a mineral trapping mechanism.
Methodology and Application of Fiscal and Tax Forecasting Analysis Based on Multi-Source Big Data Fusion
Authors: Zhu Lin
Published: June 2022

With the advent of the big data era, the use of computers has spread to all walks of life, and the finance and taxation industry is also in the middle of it. The current taxation system is huge and complex, and different tax types are inevitably linked to different economic indicators at a deep level, so tax forecasting requires personalised forecasting analysis for different tax types. This paper selects several tax types that account for a large proportion of tax revenue for prediction analysis, respectively, and conducts fusion research on multi-source big data, including business tax, corporate income tax, and personal income tax. Based on the multi-source big data fusion method, the prediction research on fiscal taxation tax types is conducted, and experiments are conducted with the taxation data of Beijing from 1995 to 2020 to predict the three tax types from 2017 to 2020. The results show that the deviation of the forecast data from the real tax data is small, controlling the forecast deviation to within 14%, indicating the effectiveness of the proposed method.
[Retracted] Comparison of Clinical Efficacy and Recovery Effect between Lateral and Posterior Foraminoscopy and PELD in LDH Patients
Authors: Zhang Zhimin , Zhang Yaning , Huang Chunxia , Huo Jianzhong
Published: June 2022

In order to analyze the clinical efficacy and recovery of lumbar disc herniation (LDH) treated by lateral and posterior foraminoscopy and posterior approach foraminoscopy (PELD), the comparison of clinical efficacy and recovery effect between lateral and posterior foraminoscopy and PELD in LDH patients was conducted. A total of 96 LDH patients admitted to our hospital from July 2020 to July 2021 were selected, and the lateral and posterior foraminoscopy group and PELD group were, respectively, established according to different surgical intervention methods. The lateral posterior foraminoscopy group is treated with lateral posterior foraminoscopy intervention, and the PELD group is treated with posterior foraminoscopy intervention. The intraoperative and postoperative indicators of the two groups were observed, and the pain improvement, lumbar function, clinical efficacy, and incidence of adverse complications were compared between the two groups before and 3 months after surgery. The Spearman correlation coefficient is used to analyze the correlation between visual analogue scale (VAS) score, lumbar function (ODI) score, and the incidence of complications. For patients with LDH in implementing lientang road intervertebral foramen mirror, the clinical efficacy of the intervertebral foramen to a rear mirror was more apparent. It demonstrates that the treatment can reduce intraoperative blood loss, shorten hospitalization time, improve lumbar vertebral function, and reduce a patient’s risk of complications.
Design and Application of Preschool Education System Based on Mobile Application
Authors: Qing Sun
Published: June 2022

With the rapid development of information technology in recent years, the country’s information reform in the field of education is advancing gradually. As the first link in the chain of lifelong education, the development of early childhood education informatization has become an essential component of the national education informatization construction. In order to better realize the gamification of early childhood education courses and strengthen the management and deepening of course resources, this paper analyzes the significance of the application of children’s games in teaching and the significance of the application of new media resources in children’s course games by combining the actual situation of education and the teaching advantages of new media resources. The paper studies the application of early childhood education teaching and the research on the development of gamification in early childhood education courses. In light of the fact that emerging preschool education products on the market cannot fully meet the requirements of preschool education informatization construction at the level of function and technology, this paper proposes a preschool education system based on mobile applications as well as a child-appropriate recommendation algorithm based on a multiattention mechanism. Experiments conducted on public data sets demonstrate that our algorithm is considerably superior to the benchmark algorithm.
Systems Pharmacology and Molecular Docking Reveals the Mechanisms of Nux Vomica for the Prevention of Myasthenia Gravis
Authors: Qiu Chao , Chen Qiang , Hou Qun , Qi Guanshu
Published: June 2022

Background. Myasthenia gravis (MG) is a rare autoimmune disease with clinical symptoms of fluctuating muscle weakness. Due to the side effects of current therapies, there is an urgent need for a new medication for MG treatment. Nux vomica is a traditional Chinese medicine used in various diseases. However, the mechanism of action of Nux vomica against MG remains unclear. Methods. Network pharmacology was used to explore the underlying mechanisms of Nux vomica in MG treatment, which was validated using molecular docking and in vivo experiments in mice. Results. Twelve bioactive compounds and 72 targets in Nux vomica were screened. Seventy-nine myasthenia-related targets were obtained from the GENECARD and DisGeNET databases. PPI networks of Nux vomica- and myasthenia-related targets were constructed using Bisogenet, and these two networks were subsequently merged into an intersection to establish a core-target PPI network that consisted of 204 nodes and 4,668 edges. KEGG enrichment analysis indicated that 132 pathways were enriched in 204 core targets. In addition, we obtained 50 docking pairs via molecular docking. In vivo experiments revealed that Nux vomica can improve the symptoms of MG. Conclusion. Nux vomica is involved in the pathogenesis of MG through the “multicomponent-target-pathway” mechanism.
Innovation Model of College Education Based on Nonlinear Random Matrix Organization and Management
Authors: Luo Zhikai , Zhang Mao , Jiang Lingxiao
Published: June 2022

At present, the scientific research and innovation team in colleges and universities has become an important carrier for the development of science and technology and personnel training in China, but in terms of its development status, the role of the scientific research and innovation team has not been really brought into play. Most colleges and universities only have the organizational form of scientific research and innovation teams. Too many scientific research tasks still rely on a small number of backbones. The cohesion of the team is not enough, and the combined force of the team is not manifested. In production practice, more and more high-dimensional data with dimension p approaching or even exceeding the number of samples n are collected and stored. Unlike traditional data analysis, high-dimensional data analysis is more complex and difficult. Layer of scientific research and innovation teams in colleges and universities is often ignored by managers, which is manifested by ignoring the cultural construction of the team. In the eyes of team managers, the time spent on building a team culture is far less than the time it takes to do a few more scientific experiments. University scientific research and innovation team is a multi-level network system. The asymptotic and nonasymptotic theories of random matrices break the framework of classical multivariate statistical analysis and are very suitable for the study of statistical characteristics of high-dimensional data, which can help machine learning algorithms to complete the analysis of high-dimensional data and expand its application range. The research and innovation team in colleges and universities is deeply analyzed from the perspective of nonlinearity. It is believed that the scientific research and innovation team in colleges and universities is a complex nonlinear system in terms of scientific research objects-interdisciplinary research, or from the perspective of personnel composition. Correspondingly, the construction should be considered from a nonlinear perspective in the process, following the systematic, integral, and multi-dimensional characteristics of nonlinear systems. Specifically applied to the construction of the team, first, from a macro perspective, three principles should be paid attention to at the beginning of the creation of the team, and then the specific application should be explained in detail. It is hoped that a new perspective will be put forward in the construction of scientific research innovation teams in colleges and universities to better promote the development of teams.
Analyzing Factors Influencing Government Control Rights in PPP Projects from the Perspective of Investors
Authors: Liu Jiaqi , Lei Xiaoying , Zhou Yining , Zeng Jing
Published: June 2022

The information resources owned by the government cannot be completely defined due to the incompleteness of the PPP contract. These information resources influence investors’ judgment on the government’s control rights, thus influencing the fair cooperative relationship and rational decision‐making. In order to analyze the criteria for investors to evaluate the government’s control rights in PPP projects in the process of decision, 14 factors that influence the government’s control rights are identified through literature analysis and a questionnaire survey. Factor analysis shows that 14 factors are divided into explicit control indicators and implicit control indicators, which measure the explicit control rights and implicit control rights of the government, respectively. Considering the influence of differences in investors’ opinions, the entropy weighing is made. The results show that the weight of implicit control right reaches 47.90%, which cannot be ignored in practice. The risk ratio has the greatest influence on explicit control rights, followed by the equity ratio. The status of government has the greatest influence on implicit control rights. The study helps to reduce the perceived bias of investors to the government’s control rights of PPP projects for achieving partnership sustainability.
Cellular Network Power Allocation Algorithm Based on Deep Reinforcement Learning and Artificial Intelligence
Authors: Cao Jinghua , Zou Xiang , Xie Rui , Li Yujiang
Published: June 2022

In the shortest path planning problem, the old algorithm usually has many defects, such as the robot’s cognition being contrary to reality, the lack of practical operation feasibility, or the limitation of problem processing. Nowadays, with deep learning, artificial intelligence algorithms tend to be mature; it has become a mainstream trend to adopt end-to-end learning system instead of traditional old algorithms. In recent years, with the rise of the Internet of things emerging technology industry and the explosive surge of network data traffic, the drawback is the increasingly severe shortage of wireless spectrum resources. In order to effectively reduce the cochannel interference of D2D communication technology in the system and enhance the useable range of the cellular network, it is necessary to distribute the useful and efficient cellular resources of the system. In this article, we will study the D2D users and the selection scheme of D2D users’ transmission power control mode and allocate the spectrum resources in the uplink of the cellular users in the communication network. In order to reduce the cochannel interference in a cellular network and improve the spectrum utilization of the system, the research direction of this article is to solve the problem of user communication resource allocation in a single-cell hybrid cellular network.
Lower Cambrian Organic-Rich Shales in Southern China: A Review of Gas-Bearing Property, Pore Structure, and Their Controlling Factors
Authors: Li Gang , Gao Ping , Xiao Xianming , Lu Chengang , Feng Yue
Published: June 2022

The Lower Cambrian shales are widely developed in southern China, with greater thicknesses and higher TOC contents. Although the shale gas resource potential has been suggested to be huge, the shale gas exploration and development is not satisfactory. At present, the gas-bearing property evaluation of the Lower Cambrian shale is still a hot spot of concern. According to previous works, this paper systematically summarizes the gas-bearing characteristics and controlling factors of the Lower Cambrian shales in southern China. The buried depth of Lower Cambrian shales mainly ranges from 3000 m to 6000 m, and the thickness of organic-rich shale intervals (

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) varies from 20 m to 300 m. The TOC content and EqVRo value are generally up to 2%-10% and 2.5%-6.0%, respectively. The gas content of the Lower Cambrian shales in the Weiyuan-Qianwei block of the Sichuan Basin and the western Hubei area generally exceeds 2 m3/t, and gas composition is dominated by CH4. In southeastern Chongqing, northwestern Hunan, and northern Guizhou areas, the gas content of the Lower Cambrian shales is generally <2 m3/t, and the N2 content is generally >60%. In the Lower Yangtze region, the Lower Cambrian shale reservoirs basically contain no gas. Higher maturity, lower porosity, and less-no organic pores are suggested to be responsible for low gas contents and/or the predominate of N2 in shale gas reservoirs. Strong tectonic deformation is an important factor leading to the massive gas loss from shale reservoirs, thus resulting in no gas or only a small amount of N2 in the Lower Cambrian shales. In a word, the Lower Cambrian shale gas plays with low maturity and relatively stable tectonic condition, especially deep-ultradeep zones, may be the favorable targets for shale gas exploration.
[Retracted] Cognitive Analysis of Pragmatic Functions of Discourse Markers in Spoken English in the Context of Computational Intelligence
Authors: Huang Leping , Zhu Yingfu
Published: June 2022

To improve the level of oral English teaching, improve students’ oral communicative competence (OCA), and promote successful communication with native English speakers, this study studies the pragmatic function of dialogue markers and constructs the cognitive evaluation system of artificial intelligence (AI) by comparing the two cognitive evaluation systems of human subjectivity and knowledge base; in this study, the credibility of human subjective evaluation and the coupling degree of machine objective evaluation are discussed. The key coefficient R2 is obtained by the linear regression method, and the correlation is obtained by the Spearman correlation algorithm. The cognitive effects of knowledge base and AI are verified; the results show that the cognitive analysis system of pragmatic function of discourse markers in oral English based on AI has good teaching value. In the context of AI computing, we can put forward targeted learning methods and learning methods for students according to the amount and accuracy of markers in oral English that students have mastered, so that students can quickly improve the learning quality and the learning effect of oral English markers, which is more conducive to improving students’ oral English level and realizing students’ effective communication.
Multisensor Speech Enhancement Technology in Music Synthesizer Design
Authors: Peng Jing
Published: June 2022

Creating music through sound synthesis is the most representative electronic music creation method, and electronic music is actually the result of sound synthesis technology. Today, the field of electronic music encompasses multiple areas such as recording, mixing, composing, and producing. It also has some advantages over traditional music composition. Voice is the most effective and direct way of communication between people. And with the explosive development of speech recognition technology, the recognition rate of speech recognition systems in the near field environment has been greatly improved. However, in practical applications, there is often a large amount of ambient noise. If these environmental noises are strong, it will seriously affect the quality, accuracy, and speed of music synthesis. This greatly reduces not only the sound quality and clarity of speech but also the speed of speech recognition. To solve these problems, this paper proposes a multisensor speech enhancement technique and implements a multisensor speech enhancement system. It also proposes an enhancement method based on speaker speech and microphone speech. In this paper, the low-frequency harmonic components of the bone conduction signal are used to replace the frequency points disturbed by wind noise to reduce the influence of wind noise on speech quality and intelligibility. The experimental results show that the PESQ and MOS scores of the improved algorithm in this paper are 1.65 and 3.67, respectively. Compared with the existing methods, it has a great improvement. This can effectively improve the voice quality of the music synthesizer and reduce background noise.
Does reviving organizations serve an advantage for college students?
Authors: Hidayah Yayuk , Trihastuti Meiwatizal , Halimah Lili , Dianasari Dianasari
Published: June 2022

Student organizations are very essentials in developing basic qualities of students and share interests, talents, and potential in extracurricular activities in the organizations. In Indonesia, student organizations play an important role of developing the student potential. The purpose of this article therefore is to review, describe, and explore the benefits of student organizations. Data were collected from eight Student Executive Board (BEM) in eight different campuses located in the Special Region of Yogyakarta. The phenomenological approach is carried out to uncover the usefulness of student organizations. In general, this article establishes that student organizations support the mastery of citizenship skills. The results show that there are 5 benefits students gain, including (1) Increasing civic awareness, (2) Increasing civic engagement, (3) enhanced the level of professionalism, (4) Instilling creativity, and (5) improved critical thinking. This article concludes that there is a need to carry out activities related to the management of skills in the planning work programs of the Student Executive Board (BEM), participating in scientific meetings, seminars, conferences, or training. This leads to a harmonious work atmosphere and wise decision making.
Implementation of Music, Arts, Physical Education and Health (MAPEH) Program and Challenges Encountered: Basis for a Proposed Action Plan
Authors: Dulay Malvin Quiles
Published: June 2022

The study used the descriptive-survey method of research because it was most appropriate to use in determining the status of the MAPEH program in terms of its implementation and challenges. It used a survey-questionnaire as the main instrument to gather the data needed in the study. It involved 22 school administrators and 70 MAPEH teachers sourced from nine public junior high schools who served as respondents in the study. The data gathered were statistically treated using weighted mean, t-test, frequency count and ranking. The study generated the following findings: (1). The MAPEH program was implemented to a high extent in terms of the program’s objectives, curriculum, learning resources, teachers’ qualification, and competency, administrative support, funding, and community partnership. (2). There was no significant difference between the assessment of the two groups of respondents in the implementation of MAPEH program in terms of the aforementioned aspects. (3) The top five challenges encountered by the two groups of respondents in the implementation of the MAPEH program were: a) Fund for MAPEH program is not enough to finance its needs, b) Facilities for Music, Arts, P.E. and Health Education are not adequate c) Not all MAPEH teachers are competent in teaching all the components of the subject, d) Students’ engagement in MAPEH activities was limited in this pandemic time and e) Online instruction for MAPEH activities was difficult to carry out. (4) An action plan was proposed based on the result of the study.