bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Innovative Marketing Model of E-Commerce Platform Driven by Big Data in the Era of Network Economy
Authors: Zhou Xiaofeng , Zhou Ying
Published: August 2022

With the booming development of Internet information technology, e-commerce platforms in the era of network economy have undergone great changes, triggering a new marketing model change. Innovative research on marketing models can help the transformation and development of small and medium-sized e-commerce companies, which has important practical significance and theoretical value. The prediction of e-commerce sales is one of the key aspects of the evaluation of innovative marketing models, and only an accurate prediction of future sales can lead to a reasonable marketing plan. Therefore, a big data-driven e-commerce sales forecasting method is proposed. First of all, for 1703 real e-commerce companies, a large number of relevant data that affect sales are selected, including sales records, product information, product evaluation, and other information. A knowledge graph was then used to preprocess the data samples to produce a sample set containing concepts, entities, and relationships. Next, the knowledge graph K-modes clustering model is established. By fixing the affiliation matrix and the clustering cluster matrix in turn, the minimum of the objective function is continuously solved to obtain the cluster centres. Finally, sales prediction is achieved based on the clustering results. The experimental results show that the proposed clustering model is able to obtain better performance in terms of cluster purity, NMI, and F-value. The proposed clustering model has high sales prediction accuracy and has certain reference value for e-commerce enterprises of different scales to formulate innovative marketing models.
Clinical Value of Pleural Effusion and Serum MMP-3 and CYFRA21-1 Combined with ADA in Differential Diagnosis of Pleural Exudative Effusion
Authors: Xu Zhiyang , Guan Jun , Xu Jianxin , Tu Jiahua , Cheng Jiangdong
Published: August 2022

Objective. The aim of the study is to investigate the clinical value of matrix metalloproteinases-3 (MMP-3) and cytokeratin 19 fragment antigen 21-1 (CYFRA21-1) combined with adenosine deaminase (ADA) in pleural effusion and serum in benign and malignant pleural exudative effusion (PEE). Methods. A total of 119 adult patients with PEE admitted in our hospital from May 2018 to October 2021 were selected. According to the patient’s condition, the patients were divided into the benign group (n = 75) and the malignant group (n = 44). The levels of MMP-3, CYFRA21-1, and ADA in pleural effusion and serum were detected. The receiver operating characteristic (ROC) curve was used to analyze the individual and combined predictive value of MMP-3, CYFRA21-1, and ADA levels. Results. In the malignant group, the pleural effusion and serum MMP-3 and CYFRA21-1 levels were higher than those in the benign group and the ADA levels were lower than those in the benign group (P < 0.05). In the malignant group, the positive detection rate of pleural effusion and serum MMP-3 and CYFRA21-1 was higher than that in the benign group and the positive detection rate of pleural effusion and serum ADA were lower than that in the benign group (P < 0.05). The AUC of pleural effusion MMP-3, serum MMP-3 and the combination of them in the diagnosis of PEE were 0.764, 0.722 and 0.810, respectively. The AUC of pleural effusion CYFRA21-1 and serum CYFRA21-1 and combination of them in the diagnosis of PEE were 0.776, 0.748 and 0.822, respectively. The AUC of pleural effusion ADA, serum ADA and their combination in differential diagnosis of PEE were 0.762, 0.737 and 0.836, respectively. The AUC of pleural effusion and serum of MMP-3 and CYFRA21-1 combined with ADA for differential diagnosis of PEE was 0.923. Conclusions. The diagnostic efficacy of MMP-3 combined with CYFRA21-1 and ADA in pleural effusion and serum for benign and malignant PEE are better than single index, which has certain clinical values for the selection of early intervention scheme for PEE patients.
Enhanced Salp Swarm Algorithm for Optimizing the Shape of Developable Bézier-Like Surfaces
Authors: Lu Jing , Su XiaoBo , Zhong Jingyu , Hu Gang
Published: August 2022

The shape optimization of developable surfaces is a key and difficult technology in CAD/CAM. This paper studies the shape optimization of generalized developable Bézier-like surfaces using the improved salp swarm algorithm. First, aiming at the problems of slow convergence speed and low calculation accuracy, quickly falling into the optimal local solution for the salp swarm algorithm, and by adjusting the control parameters, the added Morlet wavelet mutation strategy to the individual position updates operation. An improved salp swarm algorithm is proposed, called FMSSA for short. Numerical results show that FMSSA performed the best among 18 (78%) comparisons with other improved SSAs in the CEC2005 test set. In addition, FMSSA serves the best among 16 (69%) comparisons with other algorithms. Therefore, the convergence speed and computational accuracy of FMSSA are improved, and the computational results are significantly better than other intelligent algorithms. Second, according to the duality principle of point and plane, the shape optimization problem of generalized developable Bézier-like surface is transformed into the minimization problem of arc length, energy, and curvature change rate of the dual curve, and three shape optimization models of the developable surface are established. Finally, shape optimization of expandable surfaces is mathematically an optimization problem that the swarm intelligence algorithm can efficiently handle, so FMSSA is used to solve these three optimization models. Numerical experiments show that FMSSA obtains optimal generalized developable Bézier-like surfaces in solving these three optimization models, demonstrating the superiority of the proposed FMSSA in effectively solving the shape optimization models in terms of precision and robustness.
Comparison of Different Adhesive Systems on Bond Strength of Resin Composite Posts Placed in Primary Teeth
Authors: Bahrololoomi Zahra , Mehravar Fateme
Published: August 2022

Background. This study evaluated the push-out bond strength of resin composite posts to the intracanal dentin in primary teeth using different adhesive systems. Materials and Methods. In this experimental study, sixty-eight primary lateral incisors were randomly allocated in four groups (n = 17): Adper Single Bond 2 (ASB), Clearfil SE Bond 2 (CSE), G-Premio Bond in etch-and-rinse mode (GP-ER), and G-Premio Bond in the self-etch mode (GP-SE). The coronal one third of root canals was filled with resin composite. The push-out test was performed using a universal testing machine. ANOVA and LSD tests were used to analyze the data (P<0.05). Results. One-way ANOVA showed significant differences between the four groups in push-out bond strength (P=0.002). The ASB and GP-SE groups showed lower and higher bond strengths, respectively. The failure mode distribution did not differ between the bonding agents used (P=0.763). Adhesive and mixed failures were more frequent. Conclusion. The GP-SE, GP-ER, and CSE exhibited significantly higher push-out bond strength than ASB. A universal adhesive system and 6th generation self-etch adhesives are recommended for use with resin composite posts in primary anterior teeth. Regarding the advantages of these bonding agents, such as fewer clinical steps, lower technical sensitivity, and easy application, they can be a good option for restoring primary teeth with short resin composite posts.
Quantitative Evaluation Method of Physical Fitness Factor Indicators in Youth Endurance Running Events
Authors: Guo Bailing , Zhou Changlei
Published: August 2022

Adolescents are in a critical period of physical and intellectual development, and their growth represents the future of a country. However, with the rapid development of social economy and science and technology, sports and health-related education has not been fully developed, and due to some deviations in the current school curriculum, the physical quality of young people generally declines. Endurance running is a comprehensive index to measure a person’s physical fitness. It reflects the basic motor function of the matrix. It is a must-test item in the physical fitness test of young people. However, the level of endurance running has shown a downward trend in recent years. In the current endurance running training, there are many disadvantages such as extensive training methods, low efficiency, and human errors during detection. In order to improve the performance of endurance running, this paper establishes the index system of endurance running elements by introducing the concept of healthy physical fitness. Based on the elements of endurance running, the article made a detection system and compared it with the standard test method. The data showed that

P
<
0.001

, indicating that the test results of the two were consistent. The detection system in this paper is suitable for the detection of physical fitness index elements. Then, the endurance running performance of the selected 124 adolescents was combined with the physical fitness index elements, and the correlation was analyzed, indicating that the endurance running level is closely related to the human body shape, cardiopulmonary function, muscle strength, and endurance level. Systematic testing and quantitative results showed that body mass index was significantly correlated with endurance running performance in adolescents (

P
<
0.01

). Also, the number of vertical jumps in place was significantly correlated with the number of sit-ups completed (r= 0.55,

P
<
0.01

). This strongly suggests that it is important to quantitatively evaluate the fitness factor indicators of endurance running in adolescents.
[Retracted] Study on the Adjustment of Cervical Spondylopathy in Middle‐Aged and Elderly People Based on CT Image Analysis
Authors: Zhang Shan
Published: August 2022

Cervical spondylosis has caused serious distress to the patient’s body and mind, and traditional treatment methods take time and effort. Based on this, this paper proposes a study on the regulation of cervical spondylopathy in the elderly by sports dance. In this article, 81 patients with cervical spondylosis treated in the rehabilitation department of the hospital from March 2019 to November 2019 were randomly divided into a control group of 39 cases and an experimental group of 42 cases. The control group received routine rehabilitation nursing intervention, including dietary nursing intervention. The patient received neck traction 3 times a week. In addition to the above treatments, patients with cervical spondylosis in the experimental group also received care for 20–30 minutes of sports and dance exercises. At first, the patient received exercise training once a day. After his symptoms resolved, he changed to twice a day for 180 days of continuous rehabilitation and exercise therapy. Before treatment, after treatment, and after 3 months of follow‐up, NPS, NPP, and CROM scores were performed on the two groups of patients through CT images. Results. The effective rate of the control group was 66.0%, and the effective rate of the experimental group was 96.4%. There was no significant difference in NPRS, NPQ, and cr scores between the two groups before treatment (P > 0.05). After treatment, the improvement of the experimental group was significantly greater than that of the control group (P < 0.05). There was a significant difference in curative effect between the two groups (P < 0.05). It shows that when adjusting the cervical spondylosis of the elderly, the auxiliary application of sports dance therapy has a significant effect on improving the treatment efficiency. If this method is popularized in the current stage of medical treatment, it can effectively promote the diversified development of cervical spondylosis treatment methods for middle‐aged and elderly people.
Research on Cognition and Training Needs of Sex Education during Pregnancy among Obstetricians and Obstetric Nurses in Guangdong Province Based on Mixed Research Perspective
Authors: Xie Xiaolan , Wang Xiaojiao , Chen Ling , Liang Surui , Liu Sha , Zhong Xiuming , Chen Min , Cai Wenzhi
Published: August 2022

Objective. The purpose of this study was to understand the current status and existing responses of obstetricians and obstetric nurses in Guangdong Province regarding sex education during pregnancy and to understand their acceptance of sex education during pregnancy and the knowledge and information they would like to obtain in sex education courses. Methods. A phenomenological research method was used to conduct in-depth interviews with 12 obstetricians and obstetric nurses in a tertiary hospital in Guangdong Province to understand their perceptions and attitudes toward providing sex education to pregnant women. A self-designed questionnaire was used to survey 462 obstetricians and obstetric nurses in Guangdong Province to understand their needs for sex education. Results. Three themes were summarized: insufficient awareness of sex education during pregnancy; negative attitudes of obstetricians and obstetric nurses toward sex education during pregnancy; and the need for a long-term process for the development and popularization of sex education during pregnancy. We obtained the required scores of obstetricians and obstetric nurses on 11 aspects of sex education during pregnancy with a coefficient of variation ≤25%. Conclusion. There is an urgent need to improve the awareness and related competencies of obstetricians and obstetric nurses about sex education during pregnancy, and the purpose and content of sex education courses should be in line with the clinical reality.
Dynamics of DNA Replication during Male Gametogenesis in the Malaria Parasite Plasmodium Falciparum
Authors: Matthews Holly , McDonald Jennifer , Totañes Francis Isidore G. , Merrick Catherine J.
Published: August 2022

Malaria parasites undergo a single phase of sexual reproduction in their complex lifecycle. It involves specialised, sexually committed cells called gametocytes, which develop rapidly into mature gametes and mate upon entering the mosquito midgut. Gamete development is unique, involving unprecedentedly fast replication to produce male gametes. Within ~15 minutes a male gametocyte replicates its ~23 Mb genome three times to produce 8 genomes, segregates these into newly-assembled flagellated gametes and releases them to seek female gametes. Here, for the first time, we use fluorescent labelling of de novo DNA synthesis to follow this process at the whole-cell and single-molecule levels. We make several novel observations, including characterising the origin recognition complex protein Orc1 for the first time in gametocytes, finding that cytokinesis is uncoupled from DNA replication (implying a lack of cell cycle checkpoints), and that the single-molecule dynamics of DNA replication are entirely different from the dynamics in asexual schizogony.
Analysis of Financial Management Target Architecture Based on ISM Model
Authors: Bi Yulin
Published: August 2022

In order to better construct the financial management standard distribution architecture, this paper proposes a financial management target architecture based on the ISM model. By discussing the stability, periodicity, and hierarchy of enterprise financial management objectives, this paper describes the system structure of enterprise financial management objectives by using the ISM model method of system engineering and establishes a five-level hierarchical structure model of financial management objective system. In this paper, the ISM algorithm is improved, two algorithms are proposed and their root mean square error is compared and analyzed. The experimental results show that the root mean square error of the EWISM algorithm and ETISM algorithm is significantly smaller than that of the traditional ism algorithm when the signal-to-noise ratio is 5–20db. Conclusion. By analyzing the architecture of financial management objectives based on the ISM model and improving the ISM algorithm, it can provide a better reference for enterprises to determine financial management objectives.
[Retracted] Biorational Control of Callosobruchus maculatus (Coleoptera: Buchidae) in Stored Grains with Botanical Extracts
Authors: Akbar Rasheed , Khan Imtiaz Ali , Faheem Brekhna , Azad Rashid , Zaman Maid , Altaf Rubab , Usman Amjad , Fawad Muhammad , Farid Abid , Saljoqi Ahmad Ur Rahman , Syed Asad , Bahkali Ali H. , Elgorban Abdallah M. , Shah Jawad Ali , Qayyum Abdul
Published: August 2022

Globally, around 2000 plant species are used against pest control. The utilization of botanicals is considered the most economic and biodegradable methods for the control of stored grains pests. Therefore, the current study was carried out to investigate the repellency potential of five botanicals against Callosbruchus maculatus F. in Haripur, Pakistan. The concentrations of Azadirachta indica L., Nicotiana tabacum L., Melia azedarach L., Nicotiana rustica L., and Thuja orientalis L. were, i.e., 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0% in four replicates to establish contact effects. The data were recorded after 1, 2, 3, 6, 24, 48, 72, and 96 hours. The repellency effect of these plant species against C. maculatus were increased in both the time‐ and dose‐dependent manner, and highest effect was observed at 72 h. In addition, the repellency effect was 91% for A. indica (class: V), 86% M. azedarach, 82%, N. tabacum (class: V), 79% N. rustica (class: IV), and 75% T. orientalis (class: IV) at 3% concentration against C. maculatus. Furthermore, following 96 hours’ exposure to treatment the sensitivity response of insects decreases as the time interval increases, i.e., 86% A. indica (class: V) was followed by 71% M. azedarach (class: IV), 65% N. tabacum (class: IV), 61% N. rustica (class: IV), and T. orientalis 57% (class: III) repellency at highest concentration of 3%. The current study concluded that A. indica and M. azedarach can be incorporated for the management of C. maculatus and these plant species might be helpful in the productions of new biopesticides.
Antimicrobial Sensitivity Pattern from Hospitalized Pneumonia Patients in National Referral Infectious Disease Hospital in Indonesia
Authors: Sitompul Pompini Agustina , Indriani Roza , Rusli Adria , Sundari Titi , Rosamarlina Rosamarlina , Hartono Teguh Sarry , Maemun Siti , Syahril Mohammad , Rudiatmoko Diar Riyanti , Setiawaty Vivi
Published: August 2022

Background. Pneumonia is still a major global problem with high morbidity and mortality. The increasing number of pneumonia cases caused by bacteria, especially multidrug-resistant pathogens, increasing age of the population, patients with chronic disease (comorbid), and inappropriate antimicrobial therapy at initial administration make the treatment become less effective. These issues finally contribute to higher morbidity and mortality in cases of hospitalized pneumonia patients. Therefore, it is crucial to know the microbial pattern and select the therapy according to local antimicrobial sensitivity patterns. Method. A cross-sectional study was conducted for hospitalized pneumonia patients between January 2015 and December 2016 in Indonesia National Referral Infectious Disease Hospital. Data were collected from medical records to show patient characteristics, antimicrobial treatment data, culture examination, and bacterial sensitivity. Results. A total of 99 pneumonia patients required hospitalization and underwent sputum culture examination. The patients were mostly above 65 years old (32.3%) and male (57.6%). The most common comorbidities were pulmonary tuberculosis (21%), and the others were heart failure, chronic obstructive pulmonary disease (COPD), and HIV/AIDS. Based on the sputum culture, fungi were identified in most specimens (56%), while the bacteria identified were Klebsiella pneumoniae (14%), Acinetobacter sp. (12%), and Pseudomonas sp. (8%). Third-generation cephalosporin, such as ceftriaxone (50%), was commonly used as an antibiotic for pneumonia treatment. Conclusion. Most common bacteria isolated from sputum culture were Klebsiella pneumoniae which were more sensitive to the beta-lactam and aminoglycoside groups. The higher risk factors were age above 65 years old, being male, and having tuberculosis.
A Nomogram-Based Risk Classification System Predicting the Overall Survival of Childhood with Clear Cell Sarcoma of the Kidney Based on the SEER Database
Authors: Ding Jingchao , Yao Huanyin , Chen Qingchun
Published: August 2022

Objective. Clear cell sarcoma of the kidney (CCSK) is a lethal pediatric renal malignancy with poor prognosis. A prognostic nomogram needs to be established for overall survival (OS) prediction of patients with CCSK. Methods. Eligible 2588 CCSK patients (age 0–19) diagnosed between 2000 and 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomized into training and validation cohorts (7 : 3). Independent prognostic factors were identified by univariate and multifactorial Cox regression analyses and used to construct a nomogram. Receiver operating characteristics (ROC) analysis, calibration curves, and decision curve analysis (DCA) were used to validate the nomogram. Moreover, a risk classification system was established based on the risk scores of the nomogram. Results. Cox analyses revealed that age, combined stage, and origin were most significant prognostic factors. Based on these prognostic factors, a nomogram was established for predicting 3- and 5-year OS of patients with CCSK. The area under the ROC curve (AUC) of 3- and 5-year OS was 0.733 and 0.728 in the training cohort, corresponding to 0.69 and 0.674 in the validation cohort. The C-index of calibration curves in the training and validation cohorts was 0.724 and 0.686. DCAs indicated the clinical utility of this nomogram. A risk classification system stratified CCSK patients into three different risk cohorts. The OS time of low-, intermediate-, and high-risk patients was 76, 68, and 65 months in the training cohort, corresponding to 69.5, 66, and 72 months in the validation cohort. Conclusion. A nomogram-based risk classification system has high accuracy for the prognostic prediction of CCSK.
[Retracted] Analysis of the Application Value of Echocardiography Combined with CK‐MB, Alb, and CysC in the Prognosis Assessment of Patients with Chronic HF
Authors: Ma Yiyi , Zhu Dongxiao , Chen Xinyan , Li Baihong , Zhu Jun
Published: August 2022

In order to evaluate the diagnostic and prognostic value of echocardiography combined with serum creatine kinase‐MB (CK‐MB), albumin (Alb), and cystatin C (CysC) in patients with chronic heart failure (HF), 93 patients diagnosed with chronic HF in our hospital from March 2019 to January 2020 are retrospectively analyzed and included in the HF group. Another 100 healthy subjects who come to our hospital for general physical examination are selected as the control group. Echocardiography is used to detect the cardiac parameters of each group. The experimental results show that echocardiography parameters combined with CK‐MB, Alb, and CysC have high application value in diagnosis and evaluation of patients with chronic HF, which can provide theoretical basis for improving the prognosis of patients with chronic HF through real‐time monitoring of the above indicators.
Aberrant Expression TFR1/CD71 in Gastric Cancer Identifies a Novel Potential Prognostic Marker and Therapeutic Target
Authors: Cao Jielu , Hu Can , Xu Jingli , Han Jing , Zhang Ruolan , Cao Mengxuan , Yuan Li , Xu Zhiyuan
Published: August 2022

Background. Gastric cancer (GC) is one of the most common malignant tumors with poor prognosis. So far, other than the HER2, GC lacks effective therapeutic targets. Transferrin receptor 1 (TFR1) expressions are abnormally upregulated in various cancers for the satisfaction of iron demand increased. This study aimed to explore the expression and clinical value of TFR1 in GC. Methods. A tissue microarray including GC tissues and matched noncancerous tissues from 155 GC patients were collected. Moreover, the level of TFR1 expression was detected by immunohistochemistry, and we also evaluated the relationship between TFR1 expression and the clinicopathologic characteristics. What is more, univariate analysis and multivariate analysis were used to evaluate the risk factors and independent risk factors affecting the prognosis of GC. Results. We found that TFR1 was overexpressed in GC tissues compared with noncancerous tissues, and a significant relationship was found between TFR1 expression and age (

P
=
0.001

), Lauren type (

P
=
0.008

), T stage (

P
=
0.003

), HER2 (

P
=
0.003

), PD-L1 (

P
<
0.001

), and the level of CA72-4 (

P
=
0.028

). Survival analysis confirmed that GC patients with positive TFR1 expression had a poorer OS than that with negative TFR1 expression, and TFR1 expression was an independent risk factor in GC. Furthermore, we also found that there was a significant difference between the TFR1-PD-L1− group and the TFR1+PD-L1+ group (

P
=
0.023

), while there was no significant difference between the TFR1-PD-L1− group and the TFR1+PD-L1− group (

P
=
0.119

), or between the TFR1-PD-L1− group and the TFR1-PD-L1+ group (

P
=
0.396

). Conclusions. TFR1 was overexpressed in GC and its aberrant expression identifies a novel potential prognostic marker and therapeutic target. In addition, TFR1 expression may be associated with the immune microenvironment and suppress the immune response via regulating the PD-L1 expression.
[Retracted] Can European Union (EU) Enlargement Boost Regional Economic Common Growth? Multi‐Period Difference‐in‐Difference (DID) Method
Authors: Zhao Xuejiao , Shi Chaoying , Li Yangjie
Published: August 2022

Under the dual background of Britain’s blatant “Brexit” and the steady “expansion” of the European Union (EU) audit list, the economic effect of the development of regional alliances, in the end, is a question worthy of in‐depth discussion. Using data from a sample of 27 EU member states from 2000 to 2018, this study examines and compares the impact of EU enlargement on economic growth for countries as a whole, developed and developing countries, and Central and Eastern European (CEE) countries using a multi‐period difference‐in‐difference (DID) method and explores the mechanisms underlying that. The results show that EU enlargement contributes to the expected regional economic growth, and the effect is more evident in developed countries and CEE countries; the robustness of the results is tested by the dynamic effect test and counterfactual method; EU enlargement improves the spatial allocation of factor markets through regional integration, increases productivity, and positively promotes the overall national economic growth. As a typical quasi‐natural experiment of the development of regional integration, the research results of this study on the enlargement of the EU provide a useful reference for the promotion of the development of cross‐administrative integration around the world.
Optimization and Evaluation of Oral English CAF Based on Artificial Intelligence and Corpus
Authors: Wang Zhan
Published: August 2022

With the development of the times, the exchanges between countries are increasing. China is becoming a superpower, and the number of international cities is increasing. This requires the communication level of Chinese people to be improved. English, as the second largest communication language in China, should be better understood and studied. This paper makes an in-depth discussion on the optimization and evaluation of oral English CAF based on artificial intelligence and corpus and makes an experimental analysis. The results are as follows: (1) introducing oral English teaching based on artificial intelligence and oral English based on a corpus, so as to deepen the public’s cognition of both and make oral English more deeply rooted in people’s hearts and get attention. (2) Analyzing the algorithms of phoneme errors in spoken English. Errors in spoken English are very common. Algorithms can be used to identify them better. When evaluating spoken English, algorithms are needed to evaluate them more accurately. (3) There are many examples of the benefits of artificial intelligence to oral English teaching. By comparison, it is found that the method of evaluating using artificial intelligence is more accurate, a corpus can improve oral English, and CAF optimization is also of great help to oral English.
Peach Kernel Extracts Inhibit Lipopolysaccharide-Induced Activation of HSC-T6 Hepatic Stellate Cells
Authors: Chen Hong-Jie , Huang Jin-Yuan , Ko Chih-Yuan
Published: August 2022

There is an important role for hepatic stellate cells (HSCs) in liver fibrosis. As it stands, many traditional Chinese medicine formulations can effectively improve liver fibrosis, whether it is clinically used or in animal studies; however, the efficacy and mechanism of the main formulations remain unclear, including the peach kernel, which contains numerous phytochemicals with a wide range of biological activities. The purpose of this study was to investigate peach kernel’s anti-liver fibrosis effects. In this study, peach kernel extracts inhibited lipopolysaccharide (LPS) activation in HSC-T6 cells and the expression of α-smooth muscle actin and connective tissue growth factor induced by LPS in HSC-T6 cells. Furthermore, peach kernel extracts inhibited signal transducers involving protein kinase B and mitogen-activated protein kinase, which regulate downstream genes associated with inflammation. As a result, peach kernel extracts inhibited inflammatory responses and subsequently inhibited LPS-induced transformation of activated HSC-T6 cells.
[Retracted] The Influence of Network Location on Knowledge Hiding from the Perspective of Lifelong Education
Authors: Liu Huan , Dong Mingfang
Published: August 2022

Inhibiting negative knowledge behavior is one of the ways to improve the effective circulation of knowledge within the organization. This study puts employees’ knowledge hiding behavior in the organizational relationship network situation and discusses the influence of network location on knowledge hiding, exploring the moderating role of knowledge acquisition in the relationship between network location and knowledge hiding. From the perspective of social network, 232 knowledge‐based employees were used to obtain the data, and we used literature analysis, social network analysis, multiple regression analysis, UCINET, SPSS, and other software packages. Research shows that employees in the central network are less willing to do knowledge hiding behavior, and those in the structural hole network tend to do knowledge hiding behavior. Knowledge acquisition as the supply way of knowledge resources plays a positive role on the negative relationship between centrality and knowledge hiding and on the positive relationship between structure hole and knowledge hiding. The research results have positive significance for understanding and mastering the hiding behavior law of individual knowledge in the organizational relationship network and also provide certain theoretical basis and data support for organizational knowledge governance.
Tripeptide Leu-Pro-Phe from Corn Protein Hydrolysates Attenuates Hyperglycemia-Induced Neural Tube Defect in Chicken Embryos
Authors: Yan Chang-Yu , Sun Jie , Yu Gui-Yuan , Liu Jiang-Han-Zi , Huang Rong-Ping , Han Shao-Cong , Zhang Qiong-Yi , Li Xiao-Min , Yan Jian-Gang , Kurihara Hiroshi , Li Wei-Xi , Li Yi-Fang , He Rong-Rong
Published: August 2022

Neural tube defect (NTD) is the most common and severe embryopathy causing embryonic malformation and even death associated with gestational diabetes mellitus (GDM). Leu-Pro-Phe (LPF) is an antioxidative tripeptide isolated from hydrolysates of corn protein. However, the biological activity of LPF in vivo and in vitro remains unclear. This study is aimed at investigating the protective effects of tripeptide LPF against NTD in the high glucose exposure condition and delineate the underlying biological mechanism. We found that LPF alleviated NTD in the high glucose-exposed chicken embryo model. In addition, DF-1 chicken embryo fibroblast was loaded with high glucose for induction of oxidative stress and abnormal O-GlcNAcylation in vitro. LPF significantly decreased accumulation of reactive oxygen species and content of malondialdehyde in DF-1 cells but increased the ratio of reduced glutathione and oxidized glutathione in chick embryo. Oxygen radical absorbance capacity results showed that LPF itself had good free radical scavenging capacity and could enhance antioxidant activity of the cell content. Mechanistic studies suggested that the resistance of LPF to oxidative damage may be related to promotion of NRF2 expression and nuclear translocation. LPF alleviated the overall O-GlcNAcylation level of cellular proteins under high glucose conditions and restored the level of Pax3 protein. Collectively, our findings indicate that LPF peptide could act as a nutritional supplement for the protection of development of embryonic neural tube affected by GDM.
[Retracted] Investigation of the Clinical Application Value of HR‐HPV DNA Combined with Liquid Based Cytology in Colposcopy of Cervical Cancer
Authors: Zhou Ying
Published: August 2022

In order to investigate the clinical application value of HR‐HPV DNA combined with liquid‐based cytology in colposcopy of cervical cancer, a retrospective analysis is performed on 428 patients who underwent a cervical pathological examination in our hospital from May 2020 to December 2021. The pathological biopsy results are used as the gold standard to determine whether cervical lesions occurred in patients, and patients with positive gold standard results are included in the study group. The positive rates of liquid‐based cytology and HR‐HPV DNA are observed and recorded, and the patients with negative gold standard results are used as the control group. The positive rate of HR‐HPV DNA and liquid‐based cytology will increase with the aggravation of pathological results. The ROC curve shows that HR‐HPV DNA combined with liquid‐based cytology has high diagnostic efficiency in colposcopy of cervical lesions. It is clearly evident that both liquid‐based cytology and HR‐HPV DNA tests have certain advantages in the screening of cervical lesions, and the combined detection can further improve the screening value of cervical lesions.
Design of an Automatic Evaluation System for English Translation Based on Artificial Intelligence Fusion Control Algorithm
Authors: A Rigui , Bao Luer
Published: August 2022

In the process of globalization, language plays an increasingly important role in international communication. As a global language, English involves many fields, so the translation of English is very important. Not all translations can be used, and the quality of the translation must be accurate. Therefore, it is necessary to evaluate the quality of the translation of the translation system. Only when it reaches a certain level can it meet the application standard. The automatic evaluation system is a specific application of intelligent information processing technology. The system can automatically complete the compilation and feed back the system space-time resource information consumed by the user to the user in time, so that the user can check the pros and cons of the algorithm. The purpose of this article is to study the design and research of the English translation automatic evaluation system based on the artificial intelligence fusion control algorithm, and it was expected to combine the artificial intelligence fusion algorithm with the automatic evaluation of the English translation system. In this way, the traditional evaluation efficiency of translation could be further improved and the consumption of human resources can be reduced. Data fusion refers to an information processing technology that uses a computer to automatically analyze and synthesize several observational information obtained in time series under certain criteria to complete the required decision-making and evaluation tasks. This article proposed an automatic terminology translation method based on central word constraints aimed at the different linguistic characteristics of English and Chinese terms; the materials were sequenced before translation. The macroevaluation index was also introduced into the machine translation fusion method to achieve a balance between the robustness and effectiveness of the translation fusion technology. The experimental results of this article showed that under the traditional evaluation system, the response time of the system was 5.5 s and 6.3 s when the number of translations to be judged was 9 sentences and 11 sentences, respectively, whereas under the fusion control method, it was 4.1 s and 4.6 s, respectively. Therefore, the system evaluation efficiency under the fusion control algorithm was higher.
A Multimodal Convolutional Neural Network Model for the Analysis of Music Genre on Children’s Emotions Influence Intelligence
Authors: Chen Wei , Wu Guobin
Published: August 2022

This paper designs a multimodal convolutional neural network model for the intelligent analysis of the influence of music genres on children’s emotions by constructing a multimodal convolutional neural network model and profoundly analyzing the impact of music genres on children’s feelings. Considering the diversity of music genre features in the audio power spectrogram, the Mel filtering method is used in the feature extraction stage to ensure the effective retention of the genre feature attributes of the audio signal by dimensional reduction of the Mel filtered signal, deepening the differences of the extracted features between different genres, and to reduce the input size and expand the model training scale in the model input stage, the audio power spectrogram obtained by feature extraction is cut the MSCN-LSTM consists of two modules: multiscale convolutional kernel convolutional neural network and long and short term memory network. The MSCNN network is used to extract the EEG signal features, the LSTM network is used to remove the temporal characteristics of the eye-movement signal, and the feature fusion is done by feature-level fusion. The multimodal signal has a higher emotion classification accuracy than the unimodal signal, and the average accuracy of emotion quadruple classification based on a 6-channel EEG signal, and children’s multimodal signal reaches 97.94%. After pretraining with the MSD (Million Song Dataset) dataset in this paper, the model effect was further improved significantly. The accuracy of the Dense Inception network improved to 91.0% and 89.91% on the GTZAN dataset and ISMIR2004 dataset, respectively, proving that the Dense Inception network’s effectiveness and advancedness of the Dense Inception network were demonstrated.
Phytochemical, Antioxidant, Antihyaluronidase, Antityrosinase, and Antimicrobial Properties of Nicotiana tabacum L. Leaf Extracts
Authors: Prommaban Adchara , Kheawfu Kantaporn , Chittasupho Chuda , Sirilun Sasithorn , Hemsuwimon Kirachuda , Chaiyana Wantida
Published: August 2022

Nicotiana tabacum L. (tobacco) is an important and valuable crop for the cigarette industry. However, cigarette cessation has been encouraged worldwide. Therefore, this study aimed to investigate the potential of N. tabacum leaf extract use in other industries besides cigarette production, especially cosmeceutical industries, which are of interest for increasing the value and widening the applications of N. tabacum. The leaves of N. tabacum var. Virginia and Turkish were extracted by maceration using 95% v/v ethanol or petroleum ether. The extracts were evaluated for their phytochemical compositions, antioxidant capacity, and anti-aging, antimelanogenic, and antimicrobial activities. The phytochemical screening of the extracts revealed terpenoids, steroids, alkaloids, tannins, and carbohydrates in all of the N. tabacum leaf extracts. The total phenolic content was detected to be the highest in the ethanolic extract of Virginia tobacco leaf, which had the most significantly potent antioxidant and antihyaluronidase activity (

P
<
0.05

). On the contrary, the extracts from the Turkish variety demonstrated the most powerful antimicrobial activity against Staphylococcus aureus. Thus, ethanolic extracts of N. tabacum var. Virginia are suggested as good natural anti-aging ingredients with potent antioxidant and antihyaluronidase effects, whereas the leaf of N. tabacum var. Turkish is suggested as a good source of natural antimicrobial components, particularly for S. aureus inhibition. In summary, in addition to the cigarette industry, N. tabacum leaf could be a source of pharmaceutical and cosmeceutical compounds, particularly natural anti-aging and antimicrobial ingredients.
Effect and Clinical Value of Protective Motivation Intervention Rehabilitation Model on Pain Perception and Dysfunction in Patients with Lumbar Disc Herniation: Based on a Retrospective Cohort Study
Authors: Liu Xingbang , He Yong
Published: August 2022

Objective. To examine the potential medical benefits of protective motivation intervention rehabilitation mode on pain perception and dysfunction in patients with lumbar disc herniation (LDH). Methods. 140 LDH patients hospitalized from January 2021 to September 2021 were totally selected. The control group received regular rehabilitation, and the research group received protective motivation intervention rehabilitation. The comparisons of scores of disease knowledge, visual analogue scale (VAS), pain belief and perception scale (PBPI), Japanese Orthopedic Association Score (JOA), Roland-Morris dysfunction (RMDQ), and quality of life scale (SF-36) were made across different groups. Results. The scores of disease knowledge in the two cohorts at 1 month, 2 months, and 3 months after intervention were greater than those before intervention, and the difference is statistically significant (

P
<
0.05

). The scores of VAS, PBPI, JOA, and RMDQ at 1 month, 2 months, and 3 months after intervention were downregulated. At 1 month, 2 months, and 3 months after intervention, the experimental scores of VAS, PBPI, JOA, and RMDQ were markedly fewer than the control group, and the difference is statistically significant (

P
<
0.05

). The scores of SF-36 after intervention were statistically upregulated, and the difference is statistically significant (

P
<
0.05

). After intervention, the score of SF-36 in the research group was significantly higher than that in the control group, and the difference is statistically significant (

P
<
0.05

). Conclusion. The application of protective motivation intervention in rehabilitation of LDH patients can more effectively improve their cognitive level, reduce their pain perception, improve their lumbar function, and enhance their well-being.
Quasisimple Wave Solutions of Euler’s System of Equations for Ideal Gas
Authors: Desale B. S. , Potadar N. B.
Published: August 2022

Quasisimple wave solutions of Euler’s system of equations for ideal gas are investigated under the assumption of spherical and cylindrical symmetries. These solutions are proved to be stabilized into sound wave solutions and cavitation. It is proved that if initial conditions from outside the invariant region approach to transitional solution, then reciprocal of the self-similar parameter goes to infinity. However, when initial conditions stabilize into sound waves or cavitation, then reciprocal of self-similar parameter approaches finite value. Further, it is proved that initial conditions can be parametrized so that some of the initial conditions stabilize into sound wave solutions. The rest of the initial conditions are proved to be stabilized into cavitation. This extends the work of G. I. Taylor to the case of cavitation. It is proved that quasisimple wave solutions exist for the balance laws comprised of Euler’s system of equations in the case of cylindrically and spherically symmetric cases. The description applies to the motion of cylindrical and spherical piston in real life. In particular, self-similar description of appearance of vacuum in the motion of cylindrical and spherical piston is given.
[Retracted] Expression and Relationship of Netrin‐1, DCC, UNC5B, and VEGF in Villous Tissues of Patients with Delayed Abortion
Authors: Dong Fen , Cao Yan , Huang Zhonghui , Li Sha
Published: August 2022

In order to investigate the correlation between neuroaxon‐guiding factor (Netrin‐1), deleted in colorectal cancer (DCC), uncoordinated 5B (UNC5B), and vascular endothelial growth factor (VEGF) expression machine in villus tissues of delayed abortion in colorectal cancer, a total of 120 pregnant women are selected from February 2019 to August 2021. The two groups of subjects improve the relevant examinations before surgery and the underwent negative pressure induces abortion hysterectomy guided by abdominal ultrasound under intravenous anesthesia. The mRNA and protein expressions of netrin‐1, DCC, UNC5B, and VEGF in the villi of the two groups are detected by real‐time fluorescence quantitative polymerase chain reaction (RT‐PCR) and immunohistochemistry (IHC), and the correlation of the four indicators is analyzed by Pearson's test.
Research on Securities Portfolio Model Based on Genetic Optimization Neural Network
Authors: Zhang Puming
Published: August 2022

Portfolio is an investment management concept different from individual asset management. This consideration leads to an interesting result, that is, investors should buy a variety of securities at the same time instead of one kind of securities for diversified investment. Aiming at the limitations of BPNN (BP neural network) in traditional artificial neural network and its shortcomings such as many iterations, low convergence accuracy, and poor generalization, a portfolio method based on GA_BPNN (Genetic Optimization Neural Network) was proposed. The setting of GA (genetic algorithm) parameters and BPNN parameters are discussed in detail, and the implementation steps of genetic BP algorithm are described. The results show that the evaluation indexes of GA_BPNN prediction model are obviously better than those of the comparison prediction model, with the coincidence rate of 77.96% and the average absolute error of 12.451. The combination of GA and BPNN can effectively solve this problem. The simulation results of optimizing securities portfolio show that its optimization scheme is better than quadratic programming method, and this method is more correct, efficient, and practical.
3D Human Pose Estimation Based on Transformer Algorithm
Authors: Chen Guowei
Published: August 2022

Human pose estimation (HPE) is a fundamental problem in computer vision, and it is also the basis of applied research in many fields, which can be used for virtual fitting, fashion analysis, behavior analysis, human-computer interaction, and auxiliary pedestrian detection. The purpose of HPE is to use image processing and machine learning methods to find out the positions and types of joints of people in pictures. There are two main difficulties in HPE. First, the complex human images make the model need to learn a highly nonlinear mapping relationship, and the learning of this mapping relationship is extremely difficult. Second, the highly nonlinear mapping relationship needs to be learned by using a model with high complexity, and a model with high complexity requires a lot of computational overhead. In this context, this paper studies the 3D HPE based on the transformer. We introduce the research status of HPE at home and abroad and provide a theoretical basis for designing the transformer 3D HPE model in this paper. We introduce the technical principle and optimization scheme of CNN and transformer and propose a 3D HPE model based on transformer. We used two datasets, COCO and the MPII datasets, and performed a number of experiments to find the best parameters for model development and then assess the model’s performance. The experimental findings suggest that the strategy described in this study outperforms all other methods on both datasets. The average precision (AP) of our model reaches up to 79% on COCO dataset but a PCKh-0.5 score of 81.5% on the MPII dataset.