bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Teaching and Course Evaluation of Performing Arts Students Based on Improved Ant Colony Algorithm and Data Fusion
Authors: Bai Lu , He Yingying
Published: September 2022

Teaching quality evaluation plays a very important role in the evaluation of teaching and learning in universities, especially in performing arts courses. Therefore, in this study, the application and detailed analysis process of clustering analysis on student performance data is used to finally obtain the guidance of clustering results on teaching and management. A mathematical model of teachers was established using graph theory to transform the evaluation process into a bipartite graph model and to fully utilize the memory capacity, mastery of prior knowledge, adaptability, and collaboration of the ant colony algorithm. Moving back and forth between the two sets of partial graphs completed the evaluation of the teacher teaching process. In addition, the maximum and minimum pheromone strategies were applied in the original ant colony algorithm; the robustness of the algorithm itself was enhanced by making full use of the memory ability and the necessary prior knowledge mastery in solving the teacher teaching evaluation problem. For the unqualified teachers, according to the principle of PDCA (quality environment), regular training, mutual lectures, and further training can be adopted to improve teachers’ teaching levels. Through comparison, it is found that the general and practical courses of art performance majors do not have professional characteristics, and the professional courses are mostly dance and performance courses, while physical education, sports training, and other related courses are insufficient. Through the method of this study, all students are concentrated in the group of teachers with higher satisfaction, and “teaching” can achieve the expected effect and provide theoretical and practical basis for the development of performing arts courses.
Adverse Influences of Nonstrabismic Amblyopia on Quality of Life of Teenagers in China
Authors: Wang Yakun , Wang Hong
Published: September 2022

The aim of this study was to explore the influences of nonstrabismic amblyopia on quality of life in adolescents. Health-related quality of life (HRQoL) scale, a multidimensional construct that indicates a fundamental health outcome, was used to measure physical and psychosocial functioning of the adolescents. Forty teenagers with nonstrabismic amblyopia and 40 control teenagers without nonstrabismic amblyopia were recruited between April 2019 and July 2021. The anthropometric measures, body image, physical activity outcome, and HRQoL scores including physical health, emotional functioning, social functioning, and school functioning were compared between the two groups. The results revealed that teenagers with nonstrabismic amblyopia had less weekly sedentary time (

P
<
0.001

), weekly total steps (

P
<
0.001

), and worse school functioning (

P
=
0.0211

) than control teenagers. No significant difference was found in anthropometric measures and body image between the two groups (

P
>
0.05

). This study implied the needs for teenagers with nonstrabismic amblyopia to enhance physical activities. Teachers and parents are encouraged to pay more attention to teenagers with nonstrabismic amblyopia to improve their school functioning.
[Retracted] Nursing Method of Patients with Severe Traumatic Brain Injury and Fracture in the Ambulance
Authors: Zhang Haihua , Zhang Min , Zhao Fengqing
Published: September 2022

Craniocerebral injury accounts for 9%‐21% of the injuries in all parts of the body, and the incidence rate ranks first in all types of trauma or only lower than limb fractures. This study mainly discusses the nursing methods of patients with severe traumatic brain injury and fractures in ambulances. This study is based on risk factors with moderate‐to‐higher association strength from retrospective studies. According to the regression coefficients of the logistic regression model, the risk factors were assigned, and the early warning score table of craniocerebral injury complicated with hyponatremia was established. The energy efficiency of the early warning score table was evaluated by case diagnostic test and ROC analysis. At the same time, risk grading is carried out, and the chi‐square test is used to test the reliability of the grading standard, so as to identify the risk of hyponatremia in patients with craniocerebral injury early and screen out high‐risk patients as the key observation objects of nurses. Based on the early warning score table of craniocerebral injury complicated with hyponatremia, different systematic nursing intervention measures were taken for low‐risk patients and high‐risk patients, and their application effects were evaluated. The clinical application effect of the systematic nursing intervention program was evaluated by the historical control research method, which provided a reference for the nursing in the ambulance to prevent other complications of patients with craniocerebral injury. The positive rate of prehospital operation can reach 64.44%, and the specific rate can reach 84.44%. 60% of the sample sought better metastatic care in terms of the purpose of using an ambulance. The systematic nursing intervention program has a certain effect on reducing the incidence of hyponatremia in patients with craniocerebral injury and shortening the hospitalization time of patients with craniocerebral injury. The early warning score of craniocerebral injury complicated with hyponatremia developed in this study is concise and practical and can provide a basis for clinical assessment of the risk of hyponatremia in patients with craniocerebral injury.
Personalized Information Service System of Smart Library Based on Multimedia Network Technology
Authors: Wang Juan
Published: September 2022

Scientific and objective book quality evaluation and research on the value of books in the smart library are conducive to improving the reading needs of readers. However, it is difficult to obtain the important coefficient of the subjective and objective weight of the personalized information service index of the smart library at present, which has the problem of poor system performance. Therefore, a personalized information service system of the smart library based on multimedia network technology is designed. In multimedia network technology, the data collector module, data retriever module, and data memory module of the system hardware are designed. The Ethernet interface is connected through three buses to ensure the efficient operation of the system; according to the hardware, the software flow is introduced, which is divided into UI layer, logical business layer, and data access layer. On this basis, the application program is designed, all operation instructions follow the association rules, and the single-chip microcomputer is connected with the voice chip through the SPI serial port, so as to complete the design of the personalized information service system of the smart library. The experimental results show that the average absolute deviation of the designed system is small, the comprehensive performance is strong, and the update delay is kept within 0.6 s, which can improve the work efficiency.
Resource Mining Algorithm and IoT Applications for Career Literacy Oriented Civics Courses
Authors: Liu Han
Published: September 2022

The importance of vocational efficiency has gradually grown in stature as a result of rapid population expansion, rapid urbanization, rising competitiveness in the labor market, and the growing requirement for specialist workforce. Around the world, there are several overarching trends in vocational education and training, including increased use of technology, increased relevance of information and communications systems and changes in country demographics. The main aim of this paper is to discuss a resource mining algorithm for vocational literacy-oriented civics courses. The exploratory data comes from a nearby vocational database partitioned into three segments: a record database, a data database, and a video database. The data sublibrary stores data like word-related types, collections, characters, archives, and photographs, though the video sublibrary stores general media data from the play. Indexes for both the data and video sublibraries can be found in the index sublibrary. In our proposed strategy for gathering vocational literacy resources on an organization stage, we have consolidated RFID remote sensor innovation with a remote organization convention stack. We utilized QGA to order the vocational literacy resources on the organization stage in light of the discoveries of the resource assortment. Besides, in the stage’s vocational literacy materials, we joined the fluffy property highlight ID strategy with the semantic affiliation elements of successive examples. The trial results show that this approach outflanks customary techniques as far as resource mining time, mining result breadth, and mining result exactness, demonstrating that this strategy has useful application esteem.
Study on Damage Law of Raw Coal Based on Different Characterization Methods
Authors: Duan Minke , Jiang Changbao , Hu Xuelong , Tang Jinzhou , Gao Xiang , Li Wenpu
Published: September 2022

The different damage variables equation based on strain, energy dissipation, acoustic emission (AE), and permeability characteristics under tiered cyclic loading were defined. The damage variables based on different characteristics were compared, analyzed, and found that there are similarities and differences between them. The results show that: (1) the law curve of single cycle damage based on residual deformation and permeability is the same. With the increase of cycle times, it decreases first and then gently increases, increased sharply before the failure. However, the law curve of single cycle damage based on energy dissipation and AE ring count shows that it first increases slowly and the adjacent failure increases rapidly. (2) The cumulative damage evolution law based on residual deformation and permeability show an obvious three‐stage pattern; that is, first accelerates, then slows down, and then accelerates again. However, the cumulative damage evolution law based on energy dissipation and AE ring count shows an obvious two‐stage pattern, that is, first gently increases, and increased sharply before the failure.
Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring
Authors: Wang Qin
Published: September 2022

In order to improve the current level of Japanese teaching and the difficulty of non-standard Japanese spoken language, the author proposes a method for the study of the automatic scoring model of Japanese ants for scoring. The author introduces a semantic scoring model that integrates the long short-term memory neural network and self-attention mechanism, which can be applied to keyword scoring and sentence semantic scoring. The scoring principle of the model is as follows: firstly, extract the word and sentence features and represent them in a vectorized form, then use a bidirectional long short-term memory neural network to optimize the feature vector, and then use the self-attention mechanism to obtain the semantic features of the word or sentence. Finally, the semantic score is calculated by a simple neural network. Experiments show that compared with the semantic scoring model based on a stretchable recursive autoencoder that performs better in semantic scoring, the average correlation between this model and the original score is 0.444; the lowest rate of agreement with the original score is 95%; and the highest rate of agreement with adjacent ones is 74%. The automatic scoring model for Japanese interpreting with semantic scoring is proved to be practical and has excellent results.
Ways to Realize the Recessive Educational Function of Green Campus Construction in Colleges and Universities
Authors: Sun Yao
Published: September 2022

The construction of green campus in colleges and universities in the new era is an important part of the construction of socialist modern ecological civilization. Therefore, in the process of building a green campus, we should not simply pay attention to “green”, but integrate the ecological civilization into it. In order to further enhance the role of implicit education function in the process of green campus construction, with the help of actual case analysis, this study focuses on how to actively integrate implicit education into the process of building a green campus, and truly give full play to the role of implicit education in building morality, cultivating people and cultural inheritance, starting from three aspects: the realization of the implicit education function, the construction mechanism of green campus environment, and the realization path of implicit ideological and political education in Colleges and universities in the new era.
Digital Development Path of Music Appreciation Based on the Kalman Filter
Authors: Li Xiumin
Published: September 2022

For a long time, due to the influence of curriculum orientation and examination-oriented education, the learning of music appreciation courses has not been paid much attention. This makes the teaching method in music appreciation teaching single, the classroom effect cannot reach the expected learning goal, and the classroom teaching efficiency becomes low, which urgently needs a new learning method to deal with these problems. Focusing on the digital education background of the new curriculum reform, this paper investigates the teaching nature, teaching methods, teaching design and evaluation, classroom construction, and student ability development of music appreciation. In this paper, the Kalman filter algorithm is used, and the optimal transformation order determined in advance is used to suppress the noise in music and improve the sound quality of music appreciation. If the order of the full-band signal model is selected as 10, and the number of sub-bands is selected as 4, then the order of the sub-band signal model should be at least greater than or equal to 2. In the music appreciation teaching test based on the Kalman filter, it was found that 35.6% of the students believed that the music appreciation course based on the Kalman filter could completely improve the learning efficiency, and 49% of students believe that the teaching of music appreciation class based on the Kalman filter can improve a large part of the learning efficiency. Overall, 85.5% of the students believed that the music appreciation class based on the Kalman filter is of great help in improving the learning efficiency, and the Kalman filter denoising method proposed in this paper has an obvious effect, which is a new attempt to promote the digital development of music appreciation.
A Closed-Loop Method for Multiperiod Intelligent Information Processing with Cost Constraints under the Fuzzy Environment
Authors: Fu Ming , Wang Lifang , Cao Xueneng , Zheng Bingyun , Zhou Xianxian , Yin Shishu
Published: September 2022

From trivial matters in life to major scientific projects related to the fate of mankind, decision-making is everywhere. Whether high-quality decisions can be made often directly affects the development of affairs, especially when sudden disasters occur. As the basis of decision-making, data are crucial. The continuously probabilistic linguistic set, a data structure of the fuzzy mathematics, is selected in the paper to collect original data after careful comparisons, because this data structure can fully consider the hesitation of decision-makers and the fuzziness of complex problems. Although all alternatives are costly, the costs of different alternatives still vary greatly; obviously, the low-cost alternative is better than others when the same predetermined goal can be achieved, which is one of the research objectives and characteristics of this paper. Different from other researchers who only take the cost as one of the decision-making indicators, the algorithm proposed in the paper pays much more attention on the cost reduction. When dealing with an emergency, it is often difficult to solve the problem by taking measures only once; usually, multiple rounds of measures are needed. Each round of decision-making has both connections and differences, and the multiround decision-making model is proposed and built in the paper. Different from traditional linear structures, the model mainly adopts the closed-loop structure, which divides the whole process into multiple sub-decision-making points, the severities measured at the current time point will be compared with the values estimated at the latter time point, and then, the differences will be input into the system, the corresponding automatic adjustment modules will be activated immediately according to the values. The accuracy of the system can be verified and adjusted in time by the closed-loop control module. Finally, several experiments are carried out and the results show that the algorithm proposed in the paper is more effective and the cost is lower.
The Impact of Agricultural Information System on Agricultural Product Trading Efficiency Using Internet of Things Technology
Authors: Pingda Wang , Wang Zeyu , Zhong Haiyan
Published: September 2022

In order to promote the application of the Internet of Things (IoT) technology in the agricultural product circulation system and to improve the agricultural product trading efficiency in China, first, the IoT technology, IoT industrial system, and agricultural information system based on the IoT technology are theoretically expounded; then, with H Company as an example, the intelligent sensor and Radio Frequency Identification (RFID) are taken as the core part of the sensing equipment of the company’s agricultural product circulation information system, the Wi-FiZigBee network is selected as its intelligent sensor network layer, and ZigBee, PAN, LAN, and WAN are used as the technical support of the system to analyze the operation environment of the system. The results show that the operation speed and average signal coverage of the system are higher than those of the agricultural product circulation information system without IoT technology; from 2015 to 2019, the proportion of H Company’s investment in agricultural science and technology in the total investment increases year by year, reaching 90% in 2019, and the proportion of the H Company’s agricultural circulation income in the total income also shows an increasing trend. The agricultural product circulation information system can improve the agricultural product trading efficiency based on the IoT technology.
Psychological Analysis of Athletes during Basketball Games from the Perspective of Deep Learning
Authors: Meng Qinghui
Published: September 2022

Due to the influence of psychological factors during sports, basketball players often change the shooting rhythm in sports, which will reduce the shooting rate and directly affect the training effect. Therefore, we need to analyze the basketball shooting process of some athletes, which is not a complete negation of traditional training methods, but a psychological analysis of some athletes’ shooting in the course of competition, so as to complement the feedback and training information after the game. With the great improvement of computer computing power, deep learning natural language processing can help people analyze and solve previously unsolvable problems in production and life. The psychological emotion of adolescence has a great influence on the study and life of middle school students. At present, the unified monitoring and analysis of the daily life of middle school students need not only a lot of manpower, but also slow speed. If the psychological problems are not found in time and feedback is given, it will cause a series of adverse effects on individual athletes. The neural network model based on deep learning can process students' daily mass text information quickly and accurately, and then give comprehensive judgment, which is a good solution. This paper applies the neural network algorithm of the Bi-LSTM model and CNN model to study the text data, and finally has 95.55% and 90.03% accuracy in the psychological analysis experiment, which provides a feasible solution to solve the batch rapid analysis of psychological changes reflected in the daily text of athletes during basketball. Some suggestions are put forward on how to strengthen and improve the psychological quality of college basketball players and their ability to bear pressure and difficulties.
Performance Evaluation of Badminton Trajectory Error Based on Wireless Sensor Network
Authors: Bai YinHui , Li HuiFeng , Guan XiangWei
Published: September 2022

The successful holding of the Olympic Games has made the attention to sports continue to rise. China’s badminton has always been at the forefront of the world, and since badminton became an Olympic sport, it has been tasked with winning gold medals. Because the entry of badminton is simple, badminton has a solid mass foundation in China. Badminton has a very high fitness, confrontation, and fun, with speed as the core and stability, accuracy, ruthlessness, and liveliness as the main tactical style. In professional competitions, athlete’s prediction of badminton’s trajectory is of great significance to the performance of the game, so the prediction of badminton’s trajectory is very important. This paper aims to study the performance evaluation of badminton trajectory error analysis based on wireless sensor network. It is expected to predict the trajectory of badminton with the help of wireless sensor network technology, reduce the prediction error, and improve the game performance. Sensors in WSN communicate wirelessly, so network settings are flexible, device locations can be changed at any time, and wired or wireless connections to the Internet are possible. This paper analyzes and compares the commonly used dynamic target capture algorithms, compares the advantages and disadvantages of this wireless sensor network, combines the flight characteristics of badminton, and analyzes the error of its trajectory. Aiming at the vision system in badminton monitoring, the application research on the side detection, tracking, and trajectory prediction algorithm of flying badminton in the two-dimensional image plane video stream is completed. The experimental results of this paper show that the error of using the wireless sensor network is 2 cm and the trajectory error of not using the wireless sensor network is 8 cm. It can be seen that the trajectory extraction error using the wireless sensor network strategy is small.
MicroRNA-1306-5p Regulates the METTL14-Guided m6A Methylation to Repress Acute Myeloid Leukemia
Authors: Li Jiajia , Wu Yanping , Wang Meng , Chen Xiaofeng , Li Zhongyu , Bai Xue , Wu Haotian
Published: September 2022

miRNA and m6A methylation are two key regulators in cancers. However, in acute myeloid leukemia (AML), the relationship of miRNA and m6A methylation remains unclear. The present work is aimed at determining the effect of m6A methylation induced by miRNAs on AML and its underlying mechanism. The expression of METTL14 was detected by qRT-PCR and western blot. The growth of HL-60 cells was analyzed by CCK-8, Transwell assay, and flow cytometry. Tumor-bearing mice were established, and Ki-67 staining assay was used to detect the proliferation in vivo. Dual luciferase reporter system detected the effect of miR-1306-5p on METTL14 luciferase activity. Dot blot analysis detected m6A methylation. We found that METTL14 was upregulated in AML patients and overexpressed METTL14 promoted AML development. Further analysis indicated that METTL14 was directly targeted by miR-1306-5p and overexpressed miR-1306-5p alleviated AML progression. In addition, m6A methylation level regulated by METTL14 could be affected by miR-1306-5p. In conclusion, we found that suppressed miR-1306-5p enhanced AML progression by elevating m6A methylation level via upregulating METTL14. These findings provided basis for the development of new strategies for treating AML.
[Retracted] Clinical Comparison of Endoscopic Ultrasonography and CT in Preoperative TN Staging of Esophagogastric Junction Cancer
Authors: Peng Tao , Lou Zhan , Wang Xiaoyuan , Huang Di , Zhang Guiyun , Gao Huibin , Li Shuguang
Published: September 2022

In recent years, the incidence of esophagogastric junction cancer has increased year by year. It is a special type of gastric cancer, with 80% of patients being clinically in the middle and late stages. The traditional treatment methods are extremely ineffective, and the accuracy of preoperative staging is not good enough. At present, the medical treatment for esophagogastric junction cancer mainly adopts surgery and postoperative adjuvant therapy. The current mainstream clinical diagnostic methods of esophagogastric junction cancer before concurrent neoadjuvant chemoradiotherapy are X‐ray, CT examination, and gastroscopic diagnosis. However, these clinical diagnostic methods have many limitations. Endoscopic ultrasonography (EUS) can accurately locate malignant tumors in the digestive tract, surrounding microstructures. It can diagnose lymphatic metastasis so as to provide a clear imaging basis for neoadjuvant chemoradiotherapy. This method can also effectively improve the prognosis of the esophagus and stomach according to the characteristics of the patient. In this experiment, we conducted a controlled trial on patients with stage III esophagogastric junction cancer, divided into an experimental group (neoadjuvant chemotherapy + surgery) and a control group (conventional surgery). The preoperative EUS staging in the control group, the preoperative EUS staging in the neoadjuvant chemoradiotherapy group, and the postoperative pathological staging were compared. The experiment showed that in the control group, the preoperative and postoperative accuracy of EUS was 89.2%, while the preoperative and postoperative accuracy of CT examination was only 62.5%. In the experimental group, the preoperative and postoperative accuracies of EUS and CT were 79.6% and 56.7%, respectively. EUS has both specificity and accuracy due to CT examination. Through studying EUS technology in the staging and diagnosis of esophagogastric junction cancer, the therapeutic effect of esophagogastric junction cancer can be improved. The prognosis of esophagogastric junction cancer can also be improved.
Artificial Intelligence Technology to Record the Number of Times the Ball Passes the Net in Tennis Matches
Authors: Liu Wei , Liu Zhen , Huang Zhenjia
Published: September 2022

Tennis competition is one of sports events. The vigorous development of sports can promote people’s pursuit of sports spirit and promote social unity and stability. However, in the course of social modernization development, sports events also need to follow closely, and we can no longer rely on traditional tools to support the development of events, which is not conducive to the positive development of sports. Due to the problem that the number of times the ball crosses the net in the traditional tennis game is too backward and the error rate is high, this paper uses artificial intelligence technology to record the number of times the ball crosses the net in tennis games and introduces the Center Net target based on the diagnostic criteria and comprehensive evaluation of tennis nets. Detect and track tennis balls by target recognition, feature extraction, and other methods, and record the times of net passing. However, considering that abnormal behaviors will also occur in the process of tennis passing through the net, the density-based DBSCAN clustering algorithm is used to discriminate and record abnormal behaviors in tennis matches. In order to verify the detection performance of DBSCAN clustering algorithm and Center Net target detection, the video of tennis match was analyzed and compared by drone from the perspective of time and space. By recording the number of times the ball crosses the net during the tennis receiving, connecting and attacking, and stalemate phases, the performance of the two recording times is compared.

R

2

are all higher than 0.94, and

R

values are 0.982 and 0.963, respectively, so the recall rate of DBSCAN clustering algorithm is 0.02 higher, which is better than Center Net target detection. Using artificial intelligence technology to record the number of times the ball crosses the net in tennis games can not only improve the scientificity and accuracy of the record but also promote the development of the sports industry.
Talent Management Recommendation Technology Based on Deep Learning
Authors: Huo Yingying
Published: September 2022

Nowadays, with the vigorous development of information management technology, talent management has become a hot field that scholars pay attention to. The flow of talent between companies has become increasingly frequent. A large number of cooperative behaviors have produced a large number of cooperative results and subsequently brought a large amount of data on what to do. A huge network of collaborators has also been quietly formed, and how to mine valuable information from it has become a research hotspot, among which talent recommendation is one of the most important topics. Talent recommendation, when an enterprise introduces high-quality talents, provides valuable reference suggestions and selects candidates. When introducing talents, enterprises should not only consider the ability level of talents but also consider the cooperative relationship between them and enterprise personnel. Therefore, it is necessary to analyze the network of partners to find out the rules. There are only author nodes in the isomorphic collaborator network, and the connection between nodes is the cooperative relationship. On this basis, this paper constructs a heterogeneous collaborator network; that is, there are multiple types of nodes and connections in the network. The main research problem of this paper is to find an indicator to measure the strength of association between scholars in the collaborator network and to recommend potential academic talents for enterprises. Based on the data of academic research cooperation network, we carried out sufficient experiments to demonstrate the effectiveness of the heterogeneous cooperation network model proposed in this paper.
Shen-Ling-Bai-Zhu-San Enhances the Antipneumonia Effect of Cefixime in Children by Ameliorating Gut Microflora, Inflammation, and Immune Response
Authors: Feng Jinli , Zhang Cheng , Chen Houjun , Chen Ziliang , Chen Yongfeng , He Degen , Pan Qianyi , Zhou Yongmao , Chen Zhaoyang , Zhuang Xiaozheng
Published: September 2022

Objective. Shen-Ling-Bai-Zhu-San (SLBZS) is used for treating gastrointestinal disorders. However, the role of SLBZS in treating pneumonia in children is still unclear. Methods. In this study, children (≥2 and <9 years) with pneumonia were treated with 0.1 g cefixime (cefixime group) or 0.1 g cefixime + 9 g SLBZS (SLBZS + cefixime). The drugs were administered twice daily for 10 days. The therapeutic effects of the two groups were compared. The white blood cell (WBC), neutrophil, and lymphocyte counts; neutrophil-lymphocyte ratio (NLR); serum inflammatory factor levels; and gut microflora were assessed. Results. The clinical efficacy of SLBZS + cefixime treatment of pneumonia in children was higher than that of cefixime alone (93.3% vs. 86.7%). Both cefixime and SLBZS + cefixime treatments decreased the area of pulmonary inflammatory lesions, reduced white blood cell and neutrophil counts, neutrophil-lymphocyte ratio, inflammation, and increased lymphocyte count in children with pneumonia compared with those before treatment. Moreover, SLBZS enhanced the anti-inflammation and immunity-enhancing effects of cefixime in children with pneumonia. SLBZS + cefixime treatment decreased Enterobacter, Enterococcus, Bacteroides, and Fusobacterium counts and increased Bifidobacterium and Lactobacillus counts. Compared with the cefixime treatment group, the count of the six bacterial strains in the SLBZS + cefixime treatment group was closer to the normal level. Conclusion. SLBZS enhanced the antipneumonia effect of cefixime in children with pneumonia by ameliorating gut microflora, inflammation, and immune response.
Optimization Method of University English Guidance Based on Enhanced Decision Tree Model in the Context of Big Data
Authors: Huang Huan
Published: September 2022

The development of economy has propelled the university’s English guidance system to pay attention to students’ development which further impacts the development of the country because students are the future of any nation. The college English function is rather complicated, and thus, reunderstanding and positioning of the university’s English guidance plays a significant role in the field of education. The existing teaching guidance system puts more emphasis on teaching content and teaching mechanism resulting in lack of application of the knowledge gained. Thus, it is extremely important to clarify and highlight the objectives of college English learning and on the basis of these design personalized curriculum which could convert the skilled talents into compound ones. The present paper explores the evaluation model of the University English Guidance effect based on an enhanced decision tree algorithm. The model has the potential to improve accuracy and efficiency of University English Guidance effect evaluation system and meet the requirements of University English Guidance effect evaluation. The framework constructs a multi-index University English Guidance effect evaluation system constituting of teachers and students as the main entities. It considers the University English Guidance effect evaluation index data as the input sample and implements the least squares support vector machine to realize the University English Guidance effect evaluation. The effectiveness of this model is verified by experiments, which lays a foundation for the optimization of University English Guidance.
Network Pharmacology and Experimental Verification Revealed the Mechanism of Yiqi Jianpi Recipe on Chronic Obstructive Pulmonary Disease
Authors: Chen Ke , Zhang Min , Fan Liming , Wang Zhen
Published: September 2022

Objective. The study aimed to explore the active ingredients, targets, and mechanism of action of Yiqi Jianpi recipe (YQJPR) in the treatment of COPD based on the network pharmacology and COPD rat models. Methods. The active ingredients and targets of YQJPR were collected by TCMSP. Disease-related protein targets were obtained from GeneCards. The Venn diagram was used to show the key therapeutic targets of COPD in YQJPR. The PPI network was established by STRING, and cytoHubba plug-in was used to screen the core targets within the network. GO functional enrichment and KEGG pathway enrichment analysis were performed to describe the functions and pathways of the core targets. Cytoscape software was used to construct the ingredient-target network and the core target-enrichment pathway network. The chemical constituents of YQJPR were analyzed by HPLC-MS/MS. Results. The network pharmacology showed 152 active ingredients and 225 targets in YQJPR for the treatment of COPD. The key active ingredients were quercetin, luteolin, kaempferol, tanshinone IIA, and baicalein. The contents of quercetin and luteolin in YQJPR were quantitatively measured by HPLC-MS/MS. 22 core genes were screened, including AKT1, IL-6, JUN, VEGFA, and CASP3, which were mainly involved in BPs such as cell proliferation and differentiation, oxidative/chemical stress, and regulation of DNA-binding transcription factor activity and regulated viral infection, tumor, HIF-1, MAPK, TNF, and IL-17 pathways. Animal experiments showed that YQJPR could significantly reduce the expression of p-ERK1/2, p-Akt, c-Myc, cleaved caspase-3, and p-Stat3 in lung tissue (

p
<
0.05

). HE staining showed that, compared with the model group, YQJPR significantly improved lung tissue morphology and reduced lung inflammation in rats. Conclusion. The effects of YQJPR on COPD may involve multiple components, pathways, and targets. This study provides new ideas for further and more comprehensive exploration of the therapeutic effect of YQJPR on COPD in the future.
Clinical Characteristics of Target Organ Damage in Primary Aldosteronism with or without Metabolic Syndrome
Authors: Bu Xiaona , Sun Fang , Zhang Hexuan , Liu Xiaoli , Zhao Zhigang , He Hongbo , Li Yingsha , Yan Zhencheng , Zhu Zhiming
Published: September 2022

The aim of this study is to investigate the prevalence of metabolic disorders in patients with primary aldosteronism (PA) and target organ damage (TOD) in different subtypes of patients with PA with or without metabolic syndrome (MS). Patients with PA were screened out from those with secondary hypertension and then subtyped via adrenal venous sampling (AVS). Baseline clinical characteristics (blood pressure, blood glucose, abdominal circumference, and lipid profile) were collected for the diagnosis of MS. Organ damage was evaluated according to cardiac and carotid ultrasound and urine microalbumin measurements. In all 261 patients with PA, 113 patients had concomitant MS and experienced more severe cardiac hypertrophy and increased intima-media thickness (IMT). The incidence of MS and diabetes mellitus (DM) had no statistic difference between the two groups, moreover, the rates of TOD were not different except microalbuminuria. However, metabolic disorders caused more remarkable TOD in PA patients with unilateral hypersecretion. It showed that cardiac hypertrophy was associated with obesity while microalbuminuria was related to plasma aldosterone concentration (PAC) in PA patients. In this retrospective study, our findings suggest that the effect of metabolic disorders on organ damage is more remarkable in patients with unilateral PA.
Comparative Studies on a Standardized Subfraction of Red Onion Peel Ethanolic Extract (Plant Substance), Quercetin (Pure Compound), and Their Cell Mechanism and Metabolism on MDA-MB-231
Authors: Leong Kar Xin , Chao Sin Pei , Siah Poh Chiew , Lim Shern Kwok , Khoo Boon Yin
Published: September 2022

This study indicates the presence of quercetin in subfraction F1 and the standardized value of F1 derived from research using ultra-performance liquid chromatography (UPLC) and AlCl3 colorimetric assays, which further proved that both F1 and quercetin are potential growth inhibitors in MDA-MB-231 cells by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. In the process, staining of F1-treated cells with annexin/propidium iodide (PI) reduced cell proliferation and induced only S and G2 phases of cell cycle arrest in the treated cells by flow cytometry. Quercetin reduced cell proliferation by inducing apoptosis and S phase arrest. The 5′-bromo-2′-deoxyuridine (BrdU) incorporation of DNA synthesis in MDA-MB-231 cells was also inhibited after F1 and quercetin treatments. F1 and quercetin induced CYP1A1 and CYP1B1 gene expression, but only F1 induced CYP2S1 gene expression in the treated cells. Both F1 and quercetin inhibited the proliferation of MDA-MB-231 cells in different ways, but F1 is likely a better potential anticancer agent derived from the green approach towards breast cancer treatment.
[Retracted] Might Patients with Metastatic Gastrointestinal Stromal Tumors Benefit from Operative Management? A Population‐Based Retrospective Study
Authors: Yue Lei , Sun Yingchao , Hu Mengjia , Hu Weiling
Published: September 2022

Background. With respect to effect of surgery on the therapy of patients with metastatic gastrointestinal stromal tumors (mGISTs), still no consensus has been reached. This research designed to investigate the effect of surgical treatment on prognosis in patients with mGISTs. Methods. The population‐based study consisted of 6282 GIST patients diagnosed between 2001 and 2016, from the Surveillance, Epidemiology, and End Results (SEER) database registry. The Kaplan‐Meier method and Cox model were employed for the exploration of the effect of surgery on overall survival (OS) and GIST‐specific survival (GSS). Results. In total, 6282 patients were diagnosed with GISTs, including 1238 (19.7%) mGIST patients and 5044 (80.3%) non‐mGIST patients. Compared with the patients with non‐mGISTs, metastatic patients assumed relatively lower proportion of surgical management (756 [61.1%] vs. 4666 [92.5%], P < 0.001). Based on unadjusted analysis, mGIST patients with operative management presented higher five years OS together with GSS in comparison with those without operative management (OS: 58.3% vs. 33.1%, P < 0.001; GSS: 61.6% vs. 36.7%, P < 0.001). Multivariable analysis found that no surgery was correlated to more than 2‐fold increased death risk (OS, adjusted HR = 2.27, 95% CI: 1.90‐2.71; GSS, adjusted HR = 2.42, 95% CI: 2.00‐2.93). Conclusion. Metastatic GIST patients could potentially benefit from operative management with improved GSS and OS.
A Novel Selective Inhibitor JBI-589 Targets PAD4-Mediated Neutrophil Migration to Suppress Tumor Progression
Authors: Deng Hui , Lin Cindy , Garcia-Gerique Laura , Fu Shuyu , Cruz Zachary , Bonner Erin E. , Rosenwasser Matthew , Rajagopal Sridharan , Sadhu M Naveen , Gajendran Chandru , Zainuddin Mohd , Gosu Ramachandraiah , Sivanandhan Dhanalakshmi , Shelef Miriam A. , Nam Brian , Vogl Dan T. , Gabrilovich Dmitry I. , Nefedova Yulia
Published: September 2022

Neutrophils are closely involved in the regulation of tumor progression and formation of premetastatic niches. However, the mechanisms of their involvement and therapeutic regulation of these processes remain elusive. Here, we report a critical role of neutrophil peptidylarginine deiminase 4 (PAD4) in neutrophil migration in cancer. In several transplantable and genetically engineered mouse models, tumor growth was accompanied by significantly elevated enzymatic activity of neutrophil PAD4. Targeted deletion of PAD4 in neutrophils markedly decreased the intratumoral abundance of neutrophils and led to delayed growth of primary tumors and dramatically reduced lung metastases. PAD4-mediated neutrophil accumulation by regulating the expression of the major chemokine receptor CXCR2. PAD4 expression and activity as well as CXCR2 expression were significantly upregulated in neutrophils from patients with lung and colon cancers compared with healthy donors, and PAD4 and CXCR2 expression were positively correlated in neutrophils from patients with cancer. In tumor-bearing mice, pharmacologic inhibition of PAD4 with the novel PAD4 isoform-selective small molecule inhibitor JBI-589 resulted in reduced CXCR2 expression and blocked neutrophil chemotaxis. In mouse tumor models, targeted deletion of PAD4 in neutrophils or pharmacologic inhibition of PAD4 with JBI-589 reduced both primary tumor growth and lung metastases and substantially enhanced the effect of immune checkpoint inhibitors. Taken together, these results suggest a therapeutic potential of targeting PAD4 in cancer.

Significance:

PAD4 regulates tumor progression by promoting neutrophil migration and can be targeted with a small molecule inhibitor to suppress tumor growth and metastasis and increase efficacy of immune checkpoint blockade therapy.
VRK1 Is a Synthetic–Lethal Target in VRK2-Deficient Glioblastoma
Authors: Shields Julie A. , Meier Samuel R. , Bandi Madhavi , Mulkearns-Hubert Erin E. , Hajdari Nicole , Ferdinez Maria Dam , Engel Justin L. , Silver Daniel J. , Shen Binzhang , Zhang Wenhai , Hubert Christopher G. , Mitchell Kelly , Shakya Sajina , Zhao Shan-Chuan , Bejnood Alborz , Zhang Minjie , Tjin Tham Sjin Robert , Wilker Erik , Lathia Justin D. , Andersen Jannik N. , Chen Yingnan , Li Fang , Weber Barbara , Huang Alan , Emmanuel Natasha
Published: September 2022

Synthetic lethality is a genetic interaction that results in cell death when two genetic deficiencies co-occur but not when either deficiency occurs alone, which can be co-opted for cancer therapeutics. Pairs of paralog genes are among the most straightforward potential synthetic–lethal interactions by virtue of their redundant functions. Here, we demonstrate a paralog-based synthetic lethality by targeting vaccinia-related kinase 1 (VRK1) in glioblastoma (GBM) deficient of VRK2, which is silenced by promoter methylation in approximately two thirds of GBM. Genetic knockdown of VRK1 in VRK2-null or VRK2-methylated cells resulted in decreased activity of the downstream substrate barrier to autointegration factor (BAF), a regulator of post-mitotic nuclear envelope formation. Reduced BAF activity following VRK1 knockdown caused nuclear lobulation, blebbing, and micronucleation, which subsequently resulted in G2–M arrest and DNA damage. The VRK1–VRK2 synthetic–lethal interaction was dependent on VRK1 kinase activity and was rescued by ectopic expression of VRK2. In VRK2-methylated GBM cell line–derived xenograft and patient-derived xenograft models, knockdown of VRK1 led to robust tumor growth inhibition. These results indicate that inhibiting VRK1 kinase activity could be a viable therapeutic strategy in VRK2-methylated GBM.

Significance:

A paralog synthetic–lethal interaction between VRK1 and VRK2 sensitizes VRK2-methylated glioblastoma to perturbation of VRK1 kinase activity, supporting VRK1 as a drug discovery target in this disease.
Abstract 006: Liver-specific Bmal1 Deletion In Mice Increases Aortic Stiffness With Age-dependent Alterations In The Vasculature
Authors: Pati Paramita , De Miguel Carmen , Colson Jackson , Millender-Swain Telisha , Bailey Shannon , Pollock Jennifer S
Published: September 2022

Circadian clock genes are important for vascular homeostasis. Loss of
Bmal1
, a clock gene, impairs vascular function and blood pressure rhythm in mice. We previously reported that hepatocyte-specific Bmal1 deletion (HBK) in the liver alters perivascular adipose tissue-mediated vascular function in young adult mice, yet aortic collagen content and wall thickness in 4- to 6- month old HBK mice is similar to control genotype flox mice. To our knowledge, this is some of the first evidence that liver circadian clock disruption distally affects function in another tissue. We hypothesized that Bmal1 deletion in liver leads to vascular disease in older adult mice. Studies were performed in 8- to 11-month old male HBK and flox control mice. Aortic stiffness, measured by pulse wave velocity, was significantly higher in HBK mice compared to flox control mice (Flox: 1.93 ± 0.2 m/s; HBK: 3.3 ± 0.5 m/s; n = 7-8, p = 0.02). Light phase systolic blood pressure (tail-cuff) was similar in both flox control and HBK mice (Flox: 101 ± 1 mm Hg; HBK: 103 ± 2 mm Hg; n = 3-5, p = 0.35). Plasma and aortas were collected at ZT10 for metabolite measurements and histological analysis. Circulating plasminogen activator inhibitor-1 (PAI-1) was not different between genotypes. Picrosirius red (PSR)-stained aortic sections were examined under bright field or polarized light to assess collagen content with Metamorph software analysis. Aortic collagen content was not different between flox control and HBK mice under bright or polarized light (bright light, % area stained positive for PSR, Flox: 28.5 ± 2.4%; HBK: 23.6 ± 3.3%, p = 0.30; polarized, Flox: 16.7 ± 0.8%; HBK: 16.3 ± 1.3%; n = 4-5, p=0.82). TUNEL staining showed increased cellular apoptosis in aortas of HBK mice (Flox: 0.72 ± 0.3%; HBK: 2.73 ± 0.7%; n = 4, p = 0.04). Aortic wall thickness was measured as the difference between the external elastic lamina and the internal elastic lamina with CellSens software. Interestingly, aortic wall thickness was significantly lower in older HBK mice compared to flox control mice (Flox: 70.0 ± 2.3 μm; HBK: 58.8 ±2 .3 μm; n = 4-5, p =0. 01). Thus, liver circadian clock disruption in older adult mice increases aortic stiffness with aortic apoptosis and reduced wall thickness, which may result in cardiovascular disease.