bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis of Nano-ZnO Composite Polystyrene Acrylic Emulsion and Its Application in Chinese Painting Pigments
Authors: Liang Jian , Sun Ningning
Published: July 2022

With the continuous development of coating technology and environmental protection concepts, coating has become an indispensable item in the field of architecture and industry. Styrene acrylic emulsion as a new type of waterborne paint has attracted much attention since its emergence. Its functional modification is the focus of research, but the research results have not been ideal. To further improve the performance of styrene acrylic emulsion, nano-ZnO composite polystyrene emulsion was synthesized by emulsion polymerization, and its properties were analyzed. Aiming at the problem that nanopigments are prone to agglomeration, corresponding solutions are proposed, and the stability of nano-coatings is preliminarily studied. The inherent culture and essence of traditional culture and art is the wealth of realizing the unique nationalization and internationalization of design works. There is a lot of artistic quintessence in traditional Chinese painting art that can be used for reference to visual communication design. Through in-depth understanding and learning of Chinese painting theory and techniques, designers’ aesthetic abilities and innovation abilities can be qualitatively improved. First of all, the emulsion polymerization was carried out by semicontinuous method. The composite polystyrene emulsion containing different content of nano-ZnO was successfully prepared, which was recorded as N, Z, Z15, Z25, and Z35, respectively. The properties of the emulsion were determined, and the solid content, monomer conversion, viscosity, water absorption, and bacteriostatic effect of the emulsion were determined. The experimental results show that the solid content of emulsion Z15 (nano-ZnO content is 15%) reaches the highest value of 43.5%. The content of monomer in the emulsion affects the solid content, but the higher the monomer content, the better the solid content. The highest monomer conversion of Z15 was 86.4% at 80°C. The monomer conversion increased with the increase of polymerization temperature and tended to be stable after reaching the highest value. In the absence of nano-ZnO, the viscosity of the emulsion is the highest, and the viscosity of the emulsion decreases with the increase of the content of nano-ZnO monomer. Z35 (when the content of nano-ZnO is 35%) is the highest, which is 18.91%. The water absorption increases with the increase of nano-ZnO content. The content of nano-ZnO in the emulsion increased, the MIC value became smaller, and the bacteriostatic effect became better and better. This indicates that nano-ZnO composite polystyrene emulsion has good monomer conversion, super water resistance, and bacteriostatic effect, but its viscosity is relatively poor.
Efficacy of Gamma Globulins in Children with Kawasaki Disease and Factors Influencing Children’s Short-Term Prognosis
Authors: Sun Hao , Lu Huimin , Wu Yunhong
Published: July 2022

Purpose. To explore and analyze the therapeutic effect of gamma globulins (GG) on Kawasaki disease (KD) in children and the influencing factors of short-term prognosis. Methods. First, 90 pediatric KD patients admitted between January 2019 and January 2021 were selected and divided into a control group (

n
=
40

) and a research group (

n
=
50

) according to the difference in treatment. In addition to routine treatment and nursing given to both groups, control group was given aspirin (ASA), based on which research group was supplemented with GG therapy. The treatment outcome and adverse events (AEs) of the two cohorts of patients were analyzed and compared, and the influencing factors of children’s short-term prognosis were analyzed by logistics multivariate analysis. Results. Research group had a statistical higher overall response rate than control group, with significantly fewer cases suffering from AEs such as nausea and vomiting, diarrhea, rash, dizziness and headache, and coronary artery injury. On the other hand, logistics multivariate analysis identified that gender, body mass index (BMI), onset time, platelet (PLT), and treatment mode all independently influence the short-term prognosis of children with KD. Conclusions. GG therapy is effective in treating pediatric KD patients and can effectively prevent AEs. In addition, gender, BMI, onset-to-treatment time, PLT, C-reactive protein (CRP), and treatment methods are independent risk factors for short-term prognosis of children with KD.
Experimental Study on Mechanical Properties of Cement-Solidified Remolded Soil Reinforces by Polyvinyl Alcohol Fiber
Authors: Mei Ling , Dong Xin , Yang Shuyan , Deng Jie
Published: July 2022

As a reusable resource, remolded soils are often not utilized on a large scale due to their high water content and low bearing capacity. By using polyvinyl alcohol fiber (PVA) as reinforcing material and cement as cementing material, the remolded soil was improved into a usable consolidated remolded soil, and the effects of different fiber content, fiber length modulus, and conservation age on the static and dynamic characteristics of the consolidated remolded soil were investigated by conducting triaxial consolidated undrained shear tests and dynamic triaxial tests on the consolidated remolded soil. The results show that the use of PVA fiber reinforced cement can effectively improve the shear strength and dynamic strength of the remolded soil and reduce the water content of the remolded soil; the best effect on the static strength of the remolded soil was achieved when 0.1% of PVA fibers with a length of 6 mm were incorporated into the specimens at a conservation age of 28 d; the best effect on the dynamic strength of the remolded soil was achieved when 0.3% of PVA fibers with a length of 12 mm were incorporated into the specimens at a conservation age of 7 d.
miR-145-3p Hampers the Malignant Progression of Esophageal Carcinoma via CXCL5 Downregulation
Authors: Chen Gang , Teng Zhihua , Zhu Zhouyu , Li Xing
Published: July 2022

Esophageal carcinoma (EC) is the most prevalent malignant tumor that occurs frequently worldwide. The early diagnostic biomarkers are crucial for EC treatment. miRNA can regulate EC progression, with diagnostic and prognostic value. Herein, differentially expressed miRNAs and mRNAs (DEmRNAs) in EC were predicted based on TCGA database. The target mRNAs of miRNA were predicted through databases, which were then intersected with DEmRNAs. Next, the correlation between miRNA and candidate mRNAs was analyzed. qRT-PCR was introduced to analyze expression of miR-145-3p and CXCL5 mRNA in EC cell lines, and western blot was performed to assess protein expression of CXCL5. Cell proliferation, migration, invasion, and apoptosis in EC were examined through CCK-8, wound healing, Transwell invasion, and flow cytometry assays. Moreover, targeting relationship between miR-145-3p and CXCL5 was verified through luciferase reporter gene analysis. The experimental results revealed a decreased miR-145-3p expression and an increased CXCL5 expression in EC. Enforced expression of miR-145-3p hindered proliferation, migration, invasion, and stimulated apoptosis of EC cells by repressing CXCL5. This study manifested that miR-145-3p may be a tumor suppressor in EC, and miR-145-3p/CXCL5 axis restrained the malignant progression of EC. These results supply an underlying target for prognosis and treatment of EC patients.
Influence of Statins on the Survival Outcomes of Patients with Diffuse Large B Cell Lymphoma: A Systematic Review and Meta-Analysis
Authors: Li Yanbing , Zhou Huijie , Zou Liqun
Published: July 2022

Background. Previous studies evaluating the influence of statins on the survival of patients with diffuse large B cell lymphoma (DLBCL) showed inconsistent results. This systematic review and meta-analysis was conducted to investigate whether statin use is correlated with the survival of DLBCL patients. Methods. Related cohort studies were obtained by searching PubMed, Embase, Cochrane’s Library, and Web of Science databases. Study characteristics and outcome data were extracted independently by two authors. The random-effect model was used for meta-analysis, considering the possible influence of between-study heterogeneity. Results. Eight studies involving 9927 patients with DLBCL were included. Results did not show significant associations of statins with overall survival (OS, hazard ratio [HR]: 0.88, 95% confidence interval [CI]: 0.69∼1.11,

p
=
0.27

; I2 = 60%) or progression-free survival (PFS, HR: 0.92, 95% CI: 0.72∼1.17,

p
=
0.49

; I2 = 23%) in these patients. Subgroup analyses suggested that statin was be associated with survival of DLBCL patients from Asia (HR for OS: 1.19, 95% CI: 0.91∼1.56,

p
=
0.19

, I2 = 2%; HR for PFS: 1.13, 95% CI: 0.89∼1.44,

p
=
0.33

, I2 = 0%), but was associated with significantly improved survival of patients from Western countries (HR for OS: 0.73, 95% CI: 0.66∼0.81,

p
<
0.001

, I2 = 0%; for PFS, HR: 0.72, 95% CI: 0.53∼0.96,

p
=
0.03

, I2 = 0%), which fully explained the heterogeneity (

p

for subgroup difference <0.05). Variables such as study design, patient age, and study quality were not shown to affect the findings. Conclusions. Overall, statins did not affect the survival of patients with DLBCL. However, statin use may be associated with an improved survival rate of DLBCL patients from Western countries.
A Nonstandard Fitted Operator Method for Singularly Perturbed Parabolic Reaction-Diffusion Problems with a Large Time Delay
Authors: Tiruneh Awoke Andargie , Derese Getachew Adamu , Tefera Dagnachew Mengstie
Published: July 2022

In this paper, we design and investigate a higher order

ε

-uniformly convergent method to solve singularly perturbed parabolic reaction-diffusion problems with a large time delay. We use the Crank–Nicolson method for the time derivative, while the spatial derivative is discretized using a nonstandard finite difference approach on a uniform mesh. Furthermore, to improve the order of convergence, we used the Richardson extrapolation technique. The designed scheme converges independent of the perturbation parameter (

ε

-uniformly convergent) and also achieves fourth-order convergent in both time and spatial variables. Two model examples are considered to demonstrate the applicability of the suggested method. The proposed method produces better accuracy and a higher rate of convergence than some methods that appear in the literature.
Product Design Method Based on Data Fusion and Transmission Based on Multimode Sensor
Authors: Hu Jun
Published: July 2022

With the progress of society and the improvement of economic level, the traditional manufacturing industry is gradually transformed and upgraded in the changing times. In addition to the need for innovation in production technology, product design also plays a vital role in the sustainable development of the entire industry. However, the existing design methods have been unable to meet the high-quality requirements of consumers for material life. Therefore, this paper integrates multimodal sensor data fusion and transmission into product design. The multimodal sensor data fusion and transmission technology is developed on the basis of the human organs’ ability to comprehensively judge the environmental information. This paper gives a brief overview of product design methods on the basis of this theory. Among them, the generation, development, classification, attribute level, and emotional level of products of product design methods are studied. And through the research on multimodal data fusion algorithm, the design method based on multimodal sensor data fusion and transmission technology is designed and practiced, and compared with the traditional QFD technology design method. The experimental results show that the design method proposed in this paper has the highest market demand adaptability of 86.37%, which proves its effectiveness. Popularizing this technology and method in the current stage of manufacturing industry product design can effectively improve the quality and efficiency of the design process. This has practical significance for enhancing the core competitiveness of products in the market.
[Retracted] Sports Medicine Image Modeling for Injury Prevention in Basketball Training
Authors: E. Wenjie , Yu Qiufen , Guo Han
Published: July 2022

In order to solve the problem of sports medical image in basketball training, a sports medical image modeling research method based on injury prevention in basketball training was proposed. By the method, the current situation of sports injury in university basketball was investigated. At the same time, the injury factors were analyzed on four occasions, including basketball class, extracurricular activities, competition, and training. In order to reduce the occurrence of injury and enhance the security of basketball sports for nonbasketball students of physical education, combined with the problems and reasons, the corresponding suggestions were put forward. Through the experiment, it was found that the incidence of basketball injury for nonbasketball male university students was as high as 90.7%. The results of the experiment showed that it was necessary to enhance the awareness of self‐protection, control emotions and exhibitionism, strengthen physical training, attach importance to basic skills training, do warm‐up activities, stay focused, pay attention to exercise load, and prevent excessive fatigue.
The Model of Ceramic Surface Image Based on 3D Printing Technology
Authors: Yu Hui , Chen Enze , Chen Yao , Qi Zhenyu
Published: July 2022

With the rapid development of the new manufacturing industry, 3D printing technology continues to make new technological breakthroughs, and new works emerge in the manufacturing, medical, construction, military, and other application fields. However, for ceramic materials, there are still many problems to be solved in 3D printing. In this study, a dual-scale lightweight interactive model based on lofted surface and periodic parameter curve embedding is proposed for ceramic 3D printing. Users can model and manufacture lofted surfaces with small-scale geometric textures. For the two closed curves entered by the user, the intermediate section sampling points are generated by interpolation between them, and the shape of the current surface is adjusted under ceramic 3D printing manufacturing constraints such as no support and path non-interference. complete large-scale surface modeling based on lofted surfaces. Then the straight line path between the sampling points is replaced by a periodic curve path, and the small-scale geometric texture modeling is completed by adjusting the period and amplitude of the curve function. Finally, each section sampling point is spirally connected layer by layer and directly generats a single continuous printing path and manufacture. The experimental results show that the tool provides users with sufficient modeling space and high efficiency of model generation and effectively generates G-code files with textured lofted surfaces that can directly print ceramic 3D. It can also avoid the collision between printer nozzles and printing models and can be directly used in 3D printing and manufacturing based on clay materials.
Research on SQL Injection Attack and Defense Technology of Power Dispatching Data Network: Based on Data Mining
Authors: Sheng Jingyuan
Published: July 2022

In the process of SQL injection attack and defense of power dispatching data network, in order to ensure the accuracy of identification and defense, it is often necessary to build a rule base. However, the scale of the temporarily constructed rule base is limited, which is easy to cause false positives and omissions. Based on the traditional defense, data mining technology is introduced to design a SQL injection attack and defense technology for power dispatching data network. First, the SQL injection attack is analyzed, and the attack flow diagram is obtained as the basis of attack identification. Using the ITFIDF algorithm in data mining technology, combined with the dataset distribution diagram of conventional words and sensitive characters, the SQL injection attack is detected. Design the SQL injection attack early warning mechanism, establish the SQL injection attack defense model, and optimize the workflow of the defense model. The performance test results show that compared with the traditional defense technology, the proposed technology has certain advantages in false alarm rate and running time.
A New Type of Nanomaterial Traditional Martial Arts Training Body Protector with Buffering Effect
Authors: Li Zengli , Zhao Jinxiang
Published: July 2022

With the development of people’s living standards, the growing prosperity of the motherland, the traditional culture has been paid more and more attention, and traditional martial arts as a part of traditional culture is not only good for viewing but also strengthens the body, so it has been loved by many people. Traditional martial arts training is a high‐collision, injury‐prone sport, and making a good buffer protector can improve the safety of martial arts trainers and reduce the concept or degree of injury to athletes. Nanomaterials are materials produced by nanotechnology that are extremely small in one‐dimensional, two‐dimensional, or even three‐dimensional directions, and are several nanometers long in at least one direction. The purpose of this paper is to study a new type of nanomaterial with buffering effect, so as to understand the actual protective effect of body protectors made of this material on martial arts trainers. In this paper, a net‐like plant fiber nanobuffer material is proposed, and the relevant mechanical experimental tests are carried out on the material. According to static tensile experiments, the mesh nanofiber material can withstand a pressure of 1.2 million Pa under 90% strain, while ordinary fiber materials can only withstand a pressure of 700 thousand Pa under 80% strain. And the resilience of the mesh nanofiber material reaches 1.8 mm/s, while the maximum of ordinary fiber material is only 0.6 mm/s, which means that the protective gear made of mesh nanofiber material can significantly improve the stress bearing capacity of the protective gear and improve the rebound effect.
Application of Deep Learning Algorithm in Web Page Advertising Design Style
Authors: Deng Qing , Yang Ning , Yang Na
Published: July 2022

With the development of deep learning algorithm in Internet web pages and customers’ demand for web advertising design, different businesses begin to pay attention to web advertising design style. In order to predict and promote the development of web advertising design style, this paper studies the establishment process of web design model based on deep learning algorithm in detail. With the application of this model to the web advertising design of different businesses, this paper compares and analyzes the differences of web advertising design styles of different businesses and puts forward corresponding suggestions on web advertising design styles, which promotes the diversified development of web advertising design styles to a certain extent and has a good application effect.
Expressway Asphalt Pavement Technical Status Cluster Dimensional Reduction Evaluation Method
Authors: Li Yanli
Published: July 2022

In the process of asphalt pavement maintenance management, the technical condition of the pavement is accurately predicted, its performance trend is predicted, and the right time is chosen to take targeted maintenance measures that will play a multiplier role, so predicting the technical condition of the pavement is important significance. This paper mainly studies the cluster dimensionality reduction evaluation method of the technical condition of expressway asphalt pavement. This paper summarizes the experience of regular highway inspection data inspection and analysis, and mainly studies the standardized analysis method of highway pavement inspection data, aiming to meet the data requirements at all levels through effective data analysis indicators. The experimental data in this paper show that the driving quality of the two-way pavement is good, the total average SRI is 91.2, and the evaluation is “excellent,” and the left width is slightly better than the right width; the transverse crack penetration of most reconstructed road sections is greater than 0.4, indicating that the transverse crack penetrates the road surface more serious. The experimental results of this paper show that the technical status of asphalt pavement based on cluster analysis has practical significance, and the analysis results show that the treatment effect is ideal.
A Computer-Aided Assessment and Evaluation System for Modern Apprenticeship of Accounting Class On-the-Job Training
Authors: Sun LinLin , Liu ChunChao , Lin MaoNian , Zhou Ying
Published: July 2022

With China’s economy and the accelerated pace of globalization, the accounting environment is constantly changing, some accounting laws and regulations are constantly being revised or promulgated, and the accounting system and system are gradually being improved. At the same time, breach of trust in economic activities and violation of financial laws and regulations are common, making the accounting environment more complex. All these have put forward higher requirements for accounting practitioners, which require accounting personnel to receive systematic and professional accounting professional training. Therefore, it is very important for the construction of the assessment and evaluation system for accounting internship. Based on this paper, we study the construction of the computer-aided implementation of the assessment and evaluation system of accounting internship for modern apprenticeship in order to improve the practical and effective help for the employment of accounting students.
Degradation of Antibiotics by Fenton-like Reaction Catalyzed by Iron Oxide
Authors: You Junqing , Zhang Xihui , Chen Jinglei
Published: July 2022

In recent years, antibiotics have been widely used in the treatment of human and animal diseases due to their effectiveness. Most antibiotics enter the environment in the form of primitive or metabolites, making them new environmental pollutants, destroying the ecological environment, and endangering human health. The Fenton method is one of the advanced oxidation technologies including the traditional Fenton method and various Fenton methods. It has a good effect on the degradation of antibiotics in wastewater. Among them, the Fenton-like method has been widely studied by scholars because of its wide pH reaction conditions and better degradation efficiency. This article takes the Fenton-like reaction as the research object to study the catalytic and promotion effect of iron oxide as a catalyst on the degradation of antibiotics in the Fenton-like reaction. The experimental results show that the iron oxide catalytic system is much better than the traditional ferrous ion-catalyzed Fenton system to degrade antibiotics. Under certain experimental conditions, the degradation rate of ofloxacin in the Fe3O4-H2O2 reaction system for 72 hours reached 79.3%.
Clinical Features of Dermatomyositis/Polymyositis with Anti‐MDA5 Antibody Positivity
Authors: Chen Qiuhe , Qian Long
Published: July 2022

This paper aims to investigate the clinical and laboratory test characteristics of patients with anti‐MDA5 antibody‐positive PM/DM by analyzing the clinical characteristics, laboratory test results, and 1‐year survival rate of patients with anti‐MDA5 antibody‐positive PM/DM in polymyositis (PM) and dermatomyositis (DM). To further investigate the impact of positive anti‐MDA5 antibodies on the prognosis of PM/DM patients. According to the anti‐MDA5 antibody test results, 18 cases with positive anti‐MDA5 antibodies were in the positive group and 46 cases with negative anti‐MDA5 antibodies were in the negative group. The clinical manifestations, laboratory tests, treatment protocols, and prognostic risk factors were collected for both groups. The chi‐square test, Mann–Whitney method, Fisher test, t‐test, Kaplan–Meier method, and Log‐rank test were used for statistical analysis. Anti‐MDA5 antibody positivity was more common in patients with DM/CADM. With no statistically significant differences in age and sex ratio between the two groups, The differences in erythrocyte sedimentation rate (ESR), ferritin (Fer), and creatine kinase (CK) levels in the positive group were statistically significant compared with the negative group. Clinically, the positive group was more prone to arthralgia, skin rash, and interstitial pneumonia.
Local Defogging Algorithm for Improving Visual Impact in Image Based on Multiobjective Optimization
Authors: Lu Qiuju
Published: July 2022

The preprocessing of images is required for many applications based on industry, social, and academic requirements. Researchers have developed a number of techniques to improve the visual effect of images and appropriately interpret visual effects. The accuracy of visuals is important in cyber security, military organization, police organizations, and forensics to detect the true story from the pictures. They search for evidence by digging deep into the network in search of evidence. If visuals are not clear, preprocessing of images is not done correctly, then it may lead to wrong interpretations. This paper proposes an image local defogging technique based on multiobjective optimization to improve the visual effect of the image as well as the information entropy. The multiobjective function is selected to establish the image reconstruction model based on multiple objectives. The model is utilized to reconstruct a single image to moderate the impact of noise and other interference factors in the original image. The color constancy model and effective detail intensity model are also devised for image enhancement to get the visual details. The atmospheric light value and transmittance are evaluated using a physical model of atmospheric scattering, and the guided filter is used to maximize the transmittance of a single image and improve the efficiency of image defogging. The dark channel priority method is used to realize the local defogging of a single image and to design the local defogging algorithm. Experiments verify the optimization effect of the proposed algorithm in terms of information entropy and container network interface (CNI) value. The tone restoration degree is good, and it improves the overall image quality. The image defogging effect of the proposed algorithm is verified with respect to subjective and objective levels to check the efficacy of the proposed multiobjective model.
Blockchain‐Based Privacy‐Preserving Approach Using SVML for Encrypted Smart City Data in the Era of IR 4.0
Authors: Xihua Zhang , Goyal S. B. , Tesfayohanis Miretab , Verma Chaman
Published: July 2022

The collection of amounts of useful data from various IoT devices through machine learning (ML) techniques has been extensively applied in lots of areas of the smart city. To improve the efficiency of machine learning, people realize efficient data classification by supporting the ML model, namely, the support vector machine (SVM) model, which is used in the realization of linear classification. However, data security and data protection are not addressed in SVM classifier training from multiple entity‐labeled IoT data. In the existing solution, they depend on the implicit hypothesis that learning data can be dependable collected from complex data providers, which is often not the reality. To solve the question between the above problems, in this article, we put forward a secure support vector machine—a secure SECURE SVM training scheme for protecting the privacy on encrypted IoT data based on blockchain. Firstly, a secure and dependable data encryption sharing platform is established among complex data providers by using blockchain technology, which is recorded in a distributed ledger. Secondly, the homomorphic cryptosystem is used to design secure components, and the secure polynomial multiplication is improved to design a secure SVM training algorithm, which only needs two interactions in one iteration and does not need a trusted third party. Finally, the experimental results display that the plan ensures the confidentiality of sensitive data of each data provider and the confidentiality and validity of SVM model parameters of data analysts.
Analysis of the Direct Shear Test and Microstructure of the Lunar Soil Simulant Solidified by Sodium Silicate
Authors: Ma Qinyong , Wang Hanyan
Published: July 2022

The lunar soil is an ideal building material for future lunar base construction. In order to improve the strength of lunar soil, basalt with similar composition to lunar soil was used to simulate lunar soil due to lack of real lunar soil, and the simulated lunar soil was reinforced with sodium silicate. In order to study the direct shear mechanical properties of the simulated lunar soil by sodium silicate solidification, a series of direct shear tests and SEM microstructure tests were carried out, and the shear stress-displacement whole process curve was obtained. Influence law of mechanical characteristic parameters such as shear strength, shear deformation modulus, peak deformation and energy dissipation was studied. The results of the direct shear test show that the shear stress-shear displacement curve of the sample changes from hardening to softening with the increase of sodium silicate content. The shear strength and shear deformation modulus of simulated lunar soil increased first and then decreased. When the sodium silicate content was 5%, the shear strength and shear deformation modulus reached the maximum, which were 560 kPa and 7224 kPa, respectively. The addition of 5% sodium silicate increases the energy dissipation coefficient of the simulated lunar soil by about 12%. The microscopic test results show that the N-A-S-H gel and AFt formed by the alkali excitation and adsorption of the sodium silicate will connect the lunar soil simulant particles into a whole network structure, thereby improving the shear strength.
Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion
Authors: Bai Jie
Published: July 2022

Medical colleges need to strengthen the cultivation of medical students’ humanistic and spiritual literacy. First of all, schools need to change the current educational concept and the cultivation mode of humanistic quality. In educational work, schools should pay attention to the social cognitive skills of medical students, and at the same time pay attention to the cultivation of students’ basic qualities. Schools need to find problems in time, and schools need to take corresponding measures to deal with these problems. Medical colleges need to strengthen the training of medical students’ comprehensive quality and incorporate humanistic education into the goal of all-round development of medical students. Specifically, schools need to adopt a work method of distributed implementation and distributed guidance to fully mobilize the enthusiasm and initiative of school leaders, teachers, and students themselves. Schools need to strengthen inspection and supervision and summarize the experiences and lessons that students have learned in their learning. On this basis, schools need to improve the quality and efficiency of students’ humanities education work. Through the analysis of multisource medical data, this paper conducts research on the working mode of humanistic quality cultivation in medical colleges. Specifically, school education will be people-centered. Schools need to cultivate the humanistic spirit of medical students in the ideological and political education work. This paper conducts mathematical statistical analysis based on multisource medical data and analyzes the differences in the effect of different teaching modes and training methods on the cultivation of medical students’ humanistic spiritual literacy. Based on this, the research proposes recommendations for the future development of medical schools. First of all, schools need to build a humanized classroom, combine skills education with moral education, and improve the learning efficiency of student groups. In addition, schools need to teach students to feel respected and valued. Secondly, schools need to implement human-oriented teaching work to give full play to students’ own talents and personalities. During school education work, schools need to organically combine classroom education and social practice. Schools need to link teaching and real society and link students’ learning process with real life. Schools need to organically combine reading and learning with life, so as to promote the all-round development of students’ humanistic quality.
An Epidemiological Study on the Relationship between Drug Control Program and Patient Compliance in Elderly Patients with Hypertension
Authors: Pu Yuting , Wang Xinye , Min Bo , Sun Zhibo
Published: July 2022

Objective. To explore the relationship between medication control regimen and patient compliance in elderly hypertensive patients. Methods. A retrospective analysis of 1432 elderly hypertensive patients in our hospital from February 2020 to February 2021 was conducted. The general data of patients, the drug control regimen, the occurrence of drug side effects, and blood pressure control of patients during hospitalization and outpatient follow-up were statistically analyzed. Results. The first dose rate was higher in patients given a single dose during hospitalization than in patients followed up in outpatient clinics, and the discharge rate was lower than for single doses (

P
<
0.05

). Patients had a lower first dose rate and a higher discharge rate for the two drug combinations during hospitalization compared to outpatient follow-up patients, while the first dose rate and discharge rate were significantly lower during hospitalization. Three drugs were administered (

P
<
0.05

). A higher incidence of first-dose and discharge medication was observed in patients with four drug coadministration during hospitalization than in patients with outpatient follow-up. The incidence of angiotensin-converting enzyme inhibitors (dry cough) was higher and the incidence of diuretics (hypokalemia) was lower in patients during hospitalization compared with patients at outpatient follow-up (

P
<
0.05

). Maximum systolic blood pressure and fluctuations in systolic and diastolic blood pressure were lower in well compliant patients than in poorly compliant patients (

P
<
0.05

). First systolic, maximal systolic, first diastolic, maximal diastolic, systolic and diastolic fluctuations were higher in hospitalised patients than in patients with outpatient follow-up, regardless of treatment compliance (

P
<
0.05

). Conclusion. Elderly hypertensive patients with outpatient follow-up had the best discharge medication compliance, patients during hospitalization showed good medication compliance, and patients with outpatient follow-up had poor medication compliance.
Tandem Mass Tag Analysis of the Effect of the Anterior Cingulate Cortex in Nonerosive Reflux Disease Rats with Shugan Jiangni Hewei Granules Treatment
Authors: Wang Tianzuo , Li Jing , Jia Yuebo , Zhao Jiaqi , He Meijun , Bai Guang
Published: July 2022

Objective. The current study aims to analyze the improvement mechanism of visceral hypersensitivity (VH) and targets of Shugan Jiangni Hewei granules (SJHG) for nonerosive reflux disease (NERD) treatment as well as to offer an experimental foundation for its clinical use. Methods. Healthy male Sprague–Dawley rats (

n

 = 36) were acquired in the current study that was further split into three groups: blank, model, and drug (SJHG). Subsequently, differentially expressed proteins and bioinformatics analysis were performed on the collected tissue samples acquired from the anterior cingulate cortex of the model and SJHG rat groups using a tandem mass tag- (TMT-) based proteomics. Eventually, the obtained data from the bioinformatic analysis was further verified through western blotting. Results. From the bioinformatics analysis, only 64 proteins were differentially expressed between the NC and SJHG groups. These molecules were found to be highly expressed in immunological response and neural signal transmission. Finally, we confirmed three therapeutic targets of SJHG, namely, kininogen 1 (Kng1), junctional adhesion molecule A (JAM-A), and the PI3K/Akt signaling pathway. Conclusions. SJHG is effective in treating VH, Kng1 and JAM-A may be therapeutic targets of SJHG, and the therapeutic mechanism of SJHG may be realized by influencing immune response or transmission of neural signals.
Artificial Intelligence-Based Tools for Process Optimization: Case Study—Bromocresol Green Decolorization with Active Carbon
Authors: Suditu Gabriel Dan , Drăgoi Elena Niculina , Apostică Alexandra Georgiana , Mănăilă Andra Maria , Radu Veronica Mădălina , Puițel Adrian Cătălin , Nechita Mircea Teodor
Published: July 2022

This study highlights the benefits of optimizing the decolorization of bromocresol green (a colorant/pH indicator widely used in the industry, whose degradation produces toxic byproducts) by adsorption on active carbon. A set of experiments were planned and performed based on the design of experiments methodology for the following parameters: the colorant concentration (0.009-0.045 g/L), the amount of adsorbent (0.5-3 g/L), and the contact time (60-240 min). Modeling and optimization strategies were employed to determine the working conditions leading to efficiency maximization. Using the response surface methodology, the optimum values of the primary process parameters were established. In addition, a modified bacterial foraging optimization algorithm was applied as an alternative optimizer in combination with artificial neural networks in order to determine multiple combinations of parameters that can lead to maximum process efficiency. Different solutions were obtained with the considered strategies, and the maximum efficiency obtained was >99%. The study emphasizes that adsorption on active carbon is an effective method for bromocresol green decolorization in wastewater that can be further improved using advanced optimization methods.
A Refinement of the Integral Jensen Inequality Pertaining Certain Functions with Applications
Authors: Sayed Zaid Mohammed Mohammed Mahdi , Adil Khan Muhammad , Khan Shahid , Pečarić Josip
Published: July 2022

In this paper, we present a new refinement of the integral Jensen inequality by utilizing certain functions and give its applications to various means. We utilize the refinement to obtain some new refinements of the Hermite-Hadamard and Hölder’s inequalities as well. Also, we present its applications in information theory. At the end of this paper, we give a more general form of the proposed refinement of the Jensen inequality, associated to several functions.
Analysis of College Students’ Ability to Improve Innovation and Entrepreneurship Based on Constrained Clustering Algorithm
Authors: Shi Chen
Published: July 2022

With the expansion of college enrollment, college graduates have continued to expand, and the employment situation has become more and more severe. As a new form of employment, innovation and entrepreneurship are becoming more and more important in college teaching. Entrepreneurial success is crucial. This paper proposes an entropy-based active learning method (ALPCS), which is divided into three stages: selection, exploration, and consolidation. The main contents are as follows: in the selection stage, the fuzzy

c

-means algorithm is used to obtain the membership of all samples, then calculate their Shannon entropy, and finally, select the sample with large Shannon entropy to generate an information subset (the larger the Shannon entropy, the greater the uncertainty, and the more information it contains). The distance-first strategy actively selects samples from the information subset to construct a cluster skeleton cluster. If it is equal to the real number of clusters, it enters the consolidation phase; otherwise, the active learning method stops. In the consolidation phase, sequentially from the information, the nonskeleton set points with the largest uncertainty are selected in the subset to form queries with the points in the skeleton set until the must-link constraint is formed. In this stage, the principle of minimum symmetric relative entropy first is used to reduce the number of queries. The ALPCS algorithm is compared and evaluated, and the final experimental results show that the ALPCS algorithm has a good performance when the number of queries is large.
FOXF1 Was Identified as a Novel Biomarker of Infantile Hemangioma by Weighted Coexpression Network Analysis and Differential Gene Expression Analysis
Authors: Zhang Yuchao , Wang Ping
Published: July 2022

Background. The most frequent benign tumor in newborns is infantile hemangioma. The majority of infantile hemangiomas has a favorable prognosis and generally fades away on their own. Some people, however, do experience major consequences. Transcriptome alterations in infantile hemangiomas are yet unclear. The use of transcriptome analysis to uncover diagnostic markers for infantile hemangioma has clinical implications. Methods. The dataset GSE127487 for infantile hemangioma was obtained from the GEO database. The gene set most related with infantile hemangioma was investigated using weighted coexpression network analysis. Differential expression analysis was performed to see whether genes were up or downregulated in infantile hemangiomas. The enrichment of gene sets in pathways or functions is determined via enrichment analysis. Hub genes were discovered via protein‐protein interaction network analysis. The relationship between hub genes and immune cells was investigated using immunomicroenvironment analysis. Results. Turquoise and Pink modules were revealed to be the most linked with infantile hemangioma in a weighted coexpression network analysis (p < 0.001). The genes in the two modules were mostly concentrated in actin filament organization, embryonic organ development, reproductive structure development, cell substrate adhesion, extracellular matrix organization, and so on, according to GO enrichment analysis (p < 0.05). These gene enrichment pathways comprised the PI3K‐Akt signaling pathway, human papillomavirus infection, focal adhesion, and hepatitis C pathways, according to KEGG enrichment analyzes (p < 0.05). Differential expressed gene analysis showed 43 upregulated and 21 downregulated genes in infantile hemangiomas. We found the gene set most associated to infantile hemangioma by intersecting the elevated genes with the genes acquired by WGCNA, with FOXF1 serving as the hub gene. FOXF1 was linked to the degree of monocyte infiltration, according to immunocorrelation analysis (p < 0.05). B cell memory, dendritic cells resting, macrophage M0, neutrophils, and T cells helper are all negatively connected (p < 0.05). In the FOXF1 hyperexpression group, GSEA analysis revealed that cholesterol homeostasis and cell cycle‐associated pathways G2M checkpoint were primarily activated (p < 0.05). Conclusion. FOXF1 was found to be a reliable biomarker of infantile hemangiomas in our research of transcriptome changes in infantile hemangiomas.
Research on the Green Production Motivation of New Agricultural Business Entities: Benefit Perception and Environmental Regulation
Authors: Li Yufeng , Zhu Zihan , Xu Pu
Published: July 2022

The new agricultural business entities are key carriers of modern agriculture in China, and increasing their willingness to engage in green production is critical to the country’s agricultural green transformation. The Economic and Social Man Hypothesis and Externality Theory are used to construct analysis models of the green production willingness of new agricultural business entities based on 106 survey data points from Shanghai to study the impact of benefit perception, environmental regulation, and their synergy on the green production willingness of new agricultural business entities. The results show that (1) benefit perception and environmental regulation can significantly improve the willingness of new agricultural business entities to engage in green production. Economic benefit perception, ecological benefit perception, guidance regulation, and restraint regulation are all important influencing factors. (2) There is a significant synergy between ecological benefit perception and environmental regulation in increasing the willingness of new agricultural business entities to engage in green production. Further research revealed that the synergistic item of ecological benefit perception and guidance regulation, as well as the synergistic item of ecological benefit perception and restraint regulation, significantly increases the willingness of new agricultural business entities to green production. The government should strengthen the perceptions of the economic and ecological benefit of new agricultural business entities to green production; change the incentive regulation and strengthen guidance regulation and restraint regulations; enhance the synergy between ecological benefit perception and guidance regulation; and enhance the synergy between ecological benefit perception and restraint regulation.
Recent Evidence of Tea Tree Oil Effectiveness in Blepharitis Treatment
Authors: Capasso Luigi , Abbinante Giulia , Coppola Alessia , Salerno Giulio , De Bernardo Maddalena
Published: July 2022

The purpose of our study is to see how beneficial is tea tree oil (TTO) for treating chronic blepharitis topically, with a focus on the Demodex mite. To discover all possibly relevant published papers, an accurate Pubmed database search analysis of the current literature was undertaken from 2012 to December 2021. Fourteen papers dealing with the use of TTO to treat chronic blepharitis have been found. The effectiveness of TTO treatment was tested in vitro by 4 authors and in vivo by 10 authors. All studied confirmed efficacy of TTO treatment, even cyclic, on Demodex mite blepharitis. TTO can be used for lid scrubs, facial cleanser, eyelid patch, eyelid gel, eyelash shampoo or, more commonly, as TTO impregnated eyelid wipes. The scientific evidence of TTO for chronic blepharitis treatment gives a lot of confidence for the progress that this treatment may have in the future clinical practice.
Infrastructure Smart Service System Based on Big Data Information System
Authors: Dou Wang
Published: July 2022

With the acceleration of urbanization and the improvement of people’s living standards, people pay more and more attention to the services provided by infrastructure. Smart services refer to the services provided by individuals or organizations using their wisdom for other people or organizations to facilitate people’s lives. Wisdom is not only a tool of service but also the content of service. In fact, the rapid economic development and infrastructure construction did not develop in equal proportions. With the continuous progress of society, groups with different social attributes have emerged, and they have put forward diversified demands for public services in terms of both quality and quantity. This paper aims to study the research of infrastructure intelligent service system based on big data information system. It expects to use the big data information system to integrate the current infrastructure resources to meet people’s needs. Big data refer to a large amount of diverse digital information that requires new processing modes to have higher decision-making power. This paper designs and develops a new smart community service system, hoping to provide people with more and more convenient services through this system. This paper explores public facilities services from the perspective of public facilities stakeholders to realize the value transformation of public facilities. The experimental results of this paper show that 67% of the people participating in the experiment believe that the protection of stair treads is very necessary, and 73% of people think that it is very necessary to install elevators in multistorey residences. According to the data, most consumers believe that smart services are very necessary and need to be equipped.