bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Structural Concrete with Bone China Fine Aggregate Using Statistical Approach
Authors: Gour Chandra Prakash , Dhurvey Priyanka , Shaik Nagaraju
Published: September 2022

In this rapidly industrializing world, recycling materials for construction is crucial for protecting natural resources and promoting sustainable human growth. It should be carefully considered because using the waste in the structural concrete is cost-effective but it is also constrained due to its declining qualities. Bone China waste (BCW) possesses pozzolanic properties and it was occasionally used in concrete by a few researchers. Therefore, in the current investigation, the workability, compressive, split tensile, and flexure strengths of the fresh and hardened characteristics are first determined. 0%, 20%, 40%, 60%, 80%, and 100 percent of (BCW) were utilized to replace natural fine aggregate (sand). The experiment’s findings demonstrate that every percentage of BCW replacement yields the desired characteristic strength, a mix with 60% BCW yielding the highest strength value. Furthermore, it was discovered that utilizing fine bone China instead of conventional fine aggregate in concrete increased the compressive, split tensile, and flexure strength. Through traditional laboratory experiments, a valid criterion for choosing an ideal mix combination of BCW as fine aggregate in concrete is quite laborious and time-consuming. As a result, the statistical models were presented based on the laboratory-tested compressive strength data for concrete including varying amounts of bone China waste as fine aggregate, which show resilience and normality when assessed using fundamental statistical techniques. Finally, a good agreement was found between the created models and the experimental results as well as with proven existing models. These models can forecast the compressive, flexural, and split tensile strengths of concrete when combined with bone China fine aggregates or any other type of fine waste. With this framework, one may examine the same factors as the study and make sure that concrete has the maximum strength and sustainability. An improved microstructure of the concrete was observed which exhibits fewer porosity and cracks when fine BCW was used in place of sand.
Macrophage Rmp Ameliorates Myocardial Infarction by Modulating Macrophage Polarization in Mice
Authors: Zhang Jian , Yin Zongtao , Yu Liming , Wang Zhishang , Liu Yu , Huang Xiaoru , Wan Song , Lan Hui-yao , Wang Huishan
Published: September 2022

Background. Inflammation plays important roles during myocardial infarction (MI). Macrophage polarization is a major factor that drives the inflammatory process. Our previous study found that RNA polymerase II subunit 5-mediating protein (RMP) knockout in cardiomyocytes caused heart failure by impairing mitochondrial structure and function. However, whether macrophage RMP plays a role in MI has not been investigated. Methods. Macrophage RMP-knockout in combination with a mouse model of MI was used to study the function of macrophage RMP in MI. Next, we modified bone marrow-derived macrophages (BMDMs) by plasmid transfection, and the BMDMs were administered to LysM-Cre/DTR mice by tail vein injection. Immunoblotting and immunofluorescence were used to detect macrophage polarization, fibrosis, angiogenesis, and the p38 signaling pathway in each group. Results. Macrophage RMP deficiency aggravates cardiac dysfunction, promotes M1 polarization, and inhibits angiogenesis after MI. However, RMP overexpression in macrophages promotes M2 polarization and angiogenesis after MI. Mechanistically, we found that RMP regulates macrophage polarization through the heat shock protein 90– (HSP90–) p38 signaling pathway. Conclusions. Macrophage RMP plays a significant role in MI, likely by regulating macrophage polarization via the HSP90–p38 signaling pathway.
Techno-Economic Feasibility Analysis of a Solar Photovoltaic Hybrid System for Rural Electrification in Sierra Leone for Zero Carbon Emission
Authors: Sankoh Martin , Diarra Bakary , Samikannu Ravi , Ladu Nyagong Santino David
Published: September 2022

Remote area electrification is a crucial need in sub-Saharan Africa’s drive to attain universal electrification. In Sierra Leone, with a rural population of over 5 million, the electrification rate accounts for less than 10% of the total inhabitants. This paper presents a comparative techno-economic analysis carried out to determine the most feasible of four individual options for off-grid mini-grid power generation system utilizing sources that include: Solar Photo Voltaic (SPV), Diesel Generator (DG), and Battery Storage (BS) system, to provide electricity for a rural and remote village located in the northwestern part of Sierra Leone (longitude 9.1°W and latitude 12.6°N), with an average daily solar irradiance between 4.6 and 6 kWh/m2/day. An assessment of the total electrical load estimated an expected daily consumption of 178 kWh. Simulation, optimization, and sensitivity analyses of each one of the individual power generation systems were carried out using HOMER software. Economic parameters such as Cost of Capital (CC), Net Present Cost (NPC), Levelized Cost of Electricity (LCOE)), technical parameters (energy production characteristics), and greenhouse gases emissions were compared and analyzed. Key findings from the simulation result indicate that systems consisting of DG only ($29,750) and SPV/BS ($110,131) obtained the least and highest CC, respectively. Similarly, in a respective manner, the highest and least NPC were obtained for systems with DG only ($496,336) and PV/DG/BS ($152,491) over a 25-year project lifetime. Furthermore, the least LCOE was obtained for the system comprising PV/DG/BS ($0.336/kWh). With an expected annual generation of (75,121 kWh), PV/DG/BS was obtained to be the most optimal solution. The sensitivity analysis observed that a reduction in the discount rate consequently reduces the LCOE of such a system. Furthermore, the model accounts for a 90% renewable energy fraction, with a significant reduction in the amount of annual GHG emissions, when compared with a generation system using diesel generator only.
Clinical Application of a Safe Blood Sampling Device with an Indwelling Needle
Authors: Deng Yeqin , Lv Zhengbing , Cheng Yue , Liu Annuo , Huang Zhengling
Published: September 2022

Background. The traditional indwelling needle catheter is hard and can only complete one puncture at a time. The safety and indwelling needle catheter is soft, with a large lumen, with high success rate of blood collection, and one puncture completes two operations, so it is of important value and significance to study the new safety and indwelling needle. To explore the clinical utility of a novel blood collection device with indwelling needle for blood collection among pediatric patients. Methods. A total of 300 children who were admitted to the children’s hospital from March to June 2020 were selected and randomly divided into the control group (148) and the observation group (152). The control group received venipuncture using regular needles for infusion and blood collection. For the observation group, a modified indwelling needle device was used for the procedures. Comparisons were made between the two devices in five aspects: blood sample quality, operation time, needlestick incidence, related complications, and patient satisfaction. Results. There was no significant difference in coagulation rate between the two groups, but slightly lower overall hemolysis incidence in the observation group. The unqualified rate of blood specimens collected in the observation group was 10.0% lower than that in the control group (

P
<
0.05

). Shorter operation time, lower incidence of needlestick injuries, and improved satisfaction were observed in the group using the novel blood collection device. Conclusions. This modified blood collection device is superior to the regular venipuncture needle, in terms of safety, efficiency, and patient satisfaction; thus, it has potential for broad clinical applications for infusion and blood collection.
Copper-Catalyzed Hydroboration of Enamides with Bis(pinacolato)diboron: Promising Agents with Antimicrobial Activities
Authors: Jelali Hamida , Koko Waleed , Al-Hazmy Sadeq M. , Mansour Lamjed , Al-Tamimi Jameel , Deniau Eric , Sauthier Mathieu , Dridi Khaireddine , Hamdi Naceur
Published: September 2022

We reported in this study the hydroboration of enamides in methanol at room temperature catalyzed by copper complexes. Under such conditions, a Gram-scale reaction with a high yield was also completed. Hydroboration of 3-methylene, 2-(alkyl and phenylisoindolin-1-one 5 with bis(pinacolato)diboron yields the respective compounds 6 in good yields with high-to-moderate enantioselectivity (58% ee). Furthermore, the antimicrobial properties of the synthesized compounds were tested against four indicator microorganisms: the two Gram-positive bacteria L. monocytogenes ATCC 1911 and S. aureus ATCC 6538, the Gram-negative bacterium S. typhimurium ATCC 14028, and the fungus C. albicans (ATCC 90028). The MIC values of compounds 5-6 range from 0.312 to 2.5 (μg/mL) against L. monocytogenes, from 2.1 to 0.136 (μg/mL) against S. aureus, and from 0.126 to 0.923 (μg/mL) against S. typhimurium.
Analysis of the Impact of ESG on Corporate Financial Performance under the Epidemic Based on Static and Dynamic Panel Data
Authors: Gao Weizhen , Li Menggang , Zou Chengzhang
Published: September 2022

Listed firms all over the globe are moving their focus from short-term profit maximization to long-term environmental, social, and governance (ESG) objectives. Most business leaders are now cognizant of the growing importance of ESG concerns, which may have an effect on an organization’s financial health as well as its reputation in the marketplace. A recent study found that countries with strong ESG performance may be able to improve their financial performance. Yet, in China, the subject of “how does ESG impact financial performance” has received little attention. In this paper, we examine the link between ESG operations and financial indices in China’s publicly traded firms using dynamic and static panel data analysis. We begin by gathering financial data and preprocessing it using

z

-score normalization. The consequence of ESG variables on the financial performance of the company under the pandemic was investigated using statistical analytic techniques such as the Pearson correlation test, logistic regression model, and Fisher’s exact test. Due to the study’s dynamic and static data, comprehensive ESG has a considerable influence on corporate value and profitability per share. The impact of ESG variables on the financial performance of the company in the event of a pandemic was analyzed using analytical methods such as Pearson correlation, logistic regression, and Fisher’s exact test. Performance in ESG may boost financial performance, which could impact investors, business administrators, decision-makers, and industry regulations.
Situational English Teaching Experience and Analysis Using Distributed 5G and VR
Authors: Ding Hui , Qi Mingyang
Published: September 2022

Situational teaching has become an important issue in the current development of new teaching modes. The development of the fifth generation (5G) and virtual reality (VR) technologies provide powerful support for reforming the new teaching method. The smart education application scenario implemented by the immersive 5G+ VR smart classroom renders situational English teaching more efficient. Therefore, in this study, we design and analyze a new teaching scenario based on 5G+ VR technology for situational English teaching. First, we design the overall framework of teaching around teaching goals, learner characteristics, teaching resources, and teaching evaluation. We divide the virtual classroom into three different teaching processes: before, during, and after class. Second, we form a virtual classroom teaching system, which includes a cloud system, communication equipment, and a VR classroom applet. Finally, we design the interaction scheme between teachers and students in situational English teaching. The experimental results demonstrate that our method improves teaching effectiveness, which has significant implications for English teaching.
Influences of Online Practice Community on Instructors’ Blended Teaching Behaviors: Analysis Based on an Extended UTAUT Model
Authors: Han Xiaolu
Published: September 2022

During the implementation of China’s Vocational Skill Level Certificate, the Vocational Skill Curriculum Development Organization built an online teaching community of practice (COP) by inviting instructors from several schools to participate. Through this community, instructors constructed a blended teaching system together through multiparty collaboration modes like cooperation, communication, sharing, and mutual assistance. As demonstrated by the research team, when teachers participate in a community of practice, the curriculum development model implemented within that community can strengthen the blended teaching intentions and ability of instructors, thus exerting positive effects on their blended teaching behaviors. Based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT), a theoretical model concerning the influencing factors of online teaching communities of practice on the blended teaching behaviors of instructors was constructed. Through a questionnaire survey and field interviews of 204 instructors, data were analyzed by SPSS and AMOS software and an empirical test of the constructed conceptual model was carried out. The research results demonstrate that performance expectancy influences the blended teaching intentions of instructors only slightly, while effort expectancy and facilitating conditions have significantly positive influences on the blended teaching intentions of instructors. Interactions between the instructors themselves and interactions between instructors and the organization in the online community of practice have significantly positive influences on the blended teaching ability of instructors. The blended teaching intentions and blended teaching ability of instructors both have significantly positive influences on their blended teaching behaviors. In this research conclusion, various methods for online COPs to improve the blended teaching behaviors of instructors were summarized.
Cultivation of Students’ Independent Learning Ability in Teaching Chinese as a Foreign Language Based on the CDIO Model of Guiding Data Structures and Hidden Markov Algorithms
Authors: Wen Ye , Peng Shuang
Published: September 2022

The systematic training of metacognitive strategies in teaching Chinese as a foreign language, cultivating learners’ autonomous learning ability, and improving the effectiveness of teaching Chinese as a foreign language is of great significance for realizing the overall goal of teaching Chinese as a foreign language. Therefore, this paper designs a model based on CDIO to guide the teaching of data structures and algorithms, which emphasizes students’ hands-on ability, advocates learning in use, students’ autonomous learning, and teamwork. Taking massive online open courses(MOOC ) and small private online courses ( SPOC) learning data as a sample, hidden Markov algorithm and data mining technology are used to establish a student learning behavior evaluation model to evaluate students’ learning behavior in real-time. Meanwhile, teachers adjust the teaching content according to the evaluation results and enhance students’ learning performance and improve teaching quality.
Effects of High and Low Training Volume with the Nordic Hamstring Exercise on Hamstring Strength, Jump Height, and Sprint Performance in Female Football Players: A Randomised Trial
Authors: Amundsen Roar , Heimland Janita Sæther , Thorarinsdottir Solveig , Møller Merete , Bahr Roald
Published: September 2022

The evidence-based hamstring strengthening programme for prevention of hamstring injuries is not adopted by football teams because of its high training volume. This study on female football players investigated if high-volume training with the Nordic hamstring exercise is more effective on hamstring strength, jump height, and sprint performance than low-volume training. We also examined the time course of changes in muscle strength during the intervention period. Forty-five female football players were randomised to a high- (21 sessions, 538 total reps) or low-volume group (10 sessions, 144 total reps) and performed an 8-week training intervention with the Nordic hamstring exercise during the preseason. We tested hamstring strength (maximal eccentric force with NordBord and maximal eccentric torque with isokinetic dynamometer), jump height, and 40 m sprint before and after the intervention. The NordBord test was also performed during training weeks 4 and 6. Both groups increased maximal eccentric force (high-volume: 29 N (10%), 95% CI: 19–38 N,

p
<
0.001

, low-volume: 37 N (13%), 95% CI: 18–55 N,

p
=
0.001

), but there were no between-group differences (

p
=
0.38

). Maximal eccentric torque, jump height, and sprint performance did not change. Maximal eccentric force increased from the pretest to week 6 (20 N (7%), 95% CI: 8 to 31 N,

p
<
0.001

), but not week 4 (8 N (3%), 95% CI: −2 to 18 N,

p
=
0.22

). High training volume with the Nordic hamstrings exercise did not lead to greater adaptations in strength, jump height, or speed than a low-volume programme. Players in both groups had to train for at least 6 weeks to improve maximal eccentric force significantly.
Application of Polymer Nanocolloid Preparation in Stability Analysis of Motion Mechanics
Authors: Jia Jun , Sun Fengyuan
Published: September 2022

Nanomaterials are widely used in various fields because of their own advantages. When the particle size of the material is reduced to the nanometer level, it will lead to new characteristics of acoustic, optical, electrical, magnetic, and thermal properties. This will greatly enrich the research content of the material and is expected to get new uses. Therefore, the preparation technology of nanomaterials is one of the current research hotspots and has broad application prospects. At present, the most commonly used preparation techniques are hydrothermal method and sol-gel method, but not all crystals grow in a hydrothermal environment, so this paper adopts the sol-gel method for preparation. However, in the preparation of nanocolloids, agglomeration often occurs between colloidal nanoparticles. In order to avoid the agglomeration between particles, this paper adopts an appropriate method to disperse the particles. In order to further explore the stability of nanocolloids, the colloidal film material prepared by the cadmium sulfide (CdS) sol method was used as the research sample. It also proposes a sol preparation method incorporating ultrasonic waves and further discusses the kinetic characteristics. The research results show that the sedimentation velocity of 1 nm cadmium sulfide nanocolloids in water is 1.3 × 10−12 (m/s) prepared by colloid of cadmium sulfide.
Research on the Injection Mold Design and Molding Process Parameter Optimization of a Car Door Inner Panel
Authors: Yang Kefan , Wang Youmin , Wang Guoqing
Published: September 2022

Numerical simulation of the injection molding of the inner panel of the car door and the optimization of its process parameters were completed. The inner panel and its injection mold were designed by UG software and simulated by the filling and cooling module of the Moldflow software. Different gate schemes were selected to compare quality indicators such as filling time, air pockets, and weld lines to obtain the optimal number of gates. We established the objective function model with gate position as the independent variable, and used a multi-population genetic algorithm to solve the optimal position of the function model to get the best gate position. The mold temperature, melt temperature, cooling time, holding pressure, and holding time were selected as the influencing factors, and volume shrinkage and warpage deformation were selected as the evaluation indicators to design and complete the orthogonal test. The test data were simulated by Moldflow, and the optimal combination of process parameters was determined by range and variance analysis. The BP neural network model related to the molding process parameters, volume shrinkage, and warpage deformation was built, and the trained network model was optimized with the ant colony algorithm. The optimal parameter combination was: mold temperature 76

°
C

, melt temperature 205

°
C

, cooling time 23.8s, holding pressure 54.7Mpa, and holding time 22.1s. The simulation results showed that volume shrinkage was 13.32% and warpage deformation was 4.315 mm. The design of an injection mold for the car door inner panel was completed and its molding process parameters were optimized.
An English Flipped Classroom Teaching Model Based on Big Data Analysis
Authors: Sa Wang , Dan Li , Juan Du , Fei Yu , Wei Wang
Published: September 2022

In order to improve the defect that the quality of English flipped classroom teaching cannot be quantitatively evaluated, an English flipped classroom teaching model based on big data learning analysis is proposed. In the English flipped classroom teaching mode, which applies the flipped classroom teaching mode, the classroom teaching links are changed, the preview feedback, joint answer and question between teachers and students, classroom teaching, and teachers’ questions are taken as the key links of classroom teaching, and the teacher education and school management system are improved, so as to complete the reform of English flipped classroom teaching mode. The convolution neural network is used to extract the evaluation text features, mine the association rules of massive evaluation text data through the Apriori algorithm, determine the evaluation index of English flipped classroom teaching quality, and complete the evaluation of English flipped classroom teaching quality by using the decision tree method in big data analysis. The experimental results show that the proposed method can quantitatively evaluate the quality of English flipped classroom teaching by using the evaluation text, and the evaluation accuracy and recall rate are higher than 98%, which can realize the objective evaluation of English flipped classroom teaching quality.
[Retracted] Sentiment Grading and Evaluation of Network Resources of Ideological and Political Education in Colleges and Universities: A Research Based on Artificial Intelligence
Authors: Jia Junling
Published: September 2022

The current new round of scientific and technological revolution represented by artificial intelligence is rapidly driving a new wave of development of the times, and the rapid iterative update of science and technology is triggering new changes in educational concepts and educational thinking methods. Only by deeply understanding the reshaping of education concept, teaching concept, and learning concept by the new generation of scientific and technological revolution, as well as the major opportunities and challenges brought to education, can we understand the future direction of the development of ideological and political education for college students. This study takes the ideological and political education and teaching of college students as the research object. It begins by defining artificial intelligence and the ideological and political education of college students and analyzes the new concepts of precise individualization, intelligent teaching, and evaluation brought by artificial intelligence to the ideological and political education of college students. Then, it selects the students who have studied ideological and political education network resources as the empirical objects, designs a questionnaire based on the emotional characteristics of the resources, implements a questionnaire survey, uses the Stata software to conduct a correlation analysis on the acceptance of the students, and finally verifies the resources. Combined with empirical results, this article analyzes the influence of emotional characteristics of resources on students’ acceptance, reveals the carrier role of ideological and political network resources in school emotional education and students through mirror theory and student response theory, respectively, and establishes the principle of graded reading guidance.
CNN-Based Multiterrain Moving Target Recognition Model for Unattended Ground Sensor Systems
Authors: Xing Kunsheng , Wang Nan , Wang Wei , Miao Yaoyao , Chen Yaping
Published: September 2022

In recent years, many deep learning algorithms based on seismic signals have been proposed to solve the moving target recognition problem in unattended ground sensor systems. Despite the excellent performance of these deep networks, most of them can only be deployed on cloud-based devices and cannot be deployed on low-power hardware devices due to the large network size. Second, since seismic signals are affected by the terrain, employing only seismic signals as reconnaissance means for unattended ground sensors cannot achieve multiterrain-type adaptability. In response, this paper proposes an MFC-TinyNet method facing a multiterrain. The method adds depthwise separable convolutional layers to the network, which effectively reduces the size of the network while keeping the target recognition accuracy constant, and solves the problem that the model is difficult to deploy on low-power hardware. It also uses the Mel-frequency spectrum feature extraction method to fuse sound and seismic signals to improve the accuracy of the model’s moving target recognition on a multiterrain. Experiments demonstrate that the method can combine the two advantages of the small network model and multiterrain applicability.
Monitoring Technology of Abnormal Displacement of BeiDou Power Line Based on Artificial Neural Network
Authors: Yang Jingbo , Chen Yihan , Yu Jiarong , Zhou Zheng , Guo Yanna , Liu Xingye
Published: September 2022

In the practice of power line engineering, navigation and positioning technology is often used in the fields of information collection and analysis, optimized line design, and deformation monitoring. Compared with traditional measurement technology, it has the characteristics of high precision and high reliability. In order to realize the measurement of abnormal displacement of power lines, improve the efficiency and quality of monitoring, and reduce the occurrence of faults, firstly, this study introduces the basic theory of artificial neural network (ANN). The core algorithm of the ANN-BP (back propagation) neural network has been improved. The improved algorithm is used to improve the BeiDou Navigation Satellite System (BDS). The improved and the unimproved BDS are used to solve the collected related data. The results show that the geometric dilution of precision (GDOP) values obtained by conventional BDS are small, all within the range of less than 4. After the introduction of the BP neural network into the system, the geometric space distribution of positioning satellites is improved, the GDOP is reduced, the reliability and availability of satellite positioning are enhanced, and the accuracy requirements are met. The accuracy of the measured data positioning results of the two systems has reached the cm level. There is not much difference between the processing results of the two modes. Among them, the Z direction accuracy has the largest difference, which is 2.5 cm. The introduction of the BP neural network has improved the spatial combination structure, and the positioning results in the three directions of X, Y, and Z are all better. From the perspective of root mean square (RMS), the RMS fluctuation of the simulation results obtained by observing the conventional BDS is large. The RMS value of BDS displacement based on the BP neural network is smaller, and the change is gentle. With the increase in the number of epochs and the increase in the number of simulations, its value is also more convergent. These data show that the quality of BDS observations based on the BP neural network is significantly better. These contents will effectively improve the monitoring accuracy and operational reliability of the system and have important practical significance and application value.
Mesoparameter Calibration and Macro-Mesoparameter Correlation of Tailing Sand
Authors: Du Changbo , Liang Lidong , Cheng Hailong , Yi Fu , Niu Ben
Published: September 2022

The aim of this study was to explore the correlation between mesoparameters (normal stiffness

k

n

, tangential stiffness

k

s

, and friction coefficient fric) and macromechanical parameters (cohesion, internal friction angle, and peak principal stress as well as its corresponding stress variables) of the particle flow code in 3-dimension (PFC3D) built-in linear contact model, which is suitable for simulating cohesionless materials that are similar to tailing sand. A triaxial test model was established using PFC3D, and nonspherical particles were developed by the clump command. Several numerical triaxial tests were performed under different confining pressures and mesoparameters. The results showed that the linear contact model is effective in simulating sandy soil, and the corresponding gradation of particles should be given. No one-to-one correspondence was found between the macromechanical parameters and the mesoparameters. Each macromechanical parameter was most affected by a certain mesoparameter, and the degree of influence was much greater than that of the other mesoparameters. The macro- and mesoparameters were strongly correlated. The stiffness ratio (

k

n

/

k

s

) mainly affected the cohesion value, the friction coefficient of fillers (pebble-fric) mainly affected the internal friction angle and the peak principal stress, the normal stiffness (

k

n

) of particles mainly affected the strain corresponding to the peak principal stress, and the influence of the side wall friction coefficient (wall-fric) was not the strongest but was non-negligible. The microparameter calibration of the contact model can follow the order of parameter adjustment proposed in this study, which can facilitate and enhance the accuracy of the parameter calibration process of the linear contact model.
Construction of English Intelligent Translation Software Framework Based on Data Analysis Algorithm
Authors: Zhou Zhihui
Published: September 2022

In the era of “Internet + education,” the information technology and learning methods of college students have become inseparable. The rapid development of intelligent translation software can provide convenience for English-Chinese translation and computer English learning and simultaneously improve the quality and efficiency of professional English learning. Under such background, the English teaching of software majors is chosen as the breakthrough to analyze the measures of applying intelligent translation software during the teaching process. Therefore, a data mining algorithm including cluster analysis and BP neural network model is designed. Then, the cluster analysis algorithm is used to classify the data in different forms, which can improve the data utilization efficiency. In addition, K-means algorithm based on feature selection is improved to achieve better performance. In the comparison of translation speed and matching rate, our method is much better than other software.
[Retracted] Application of VIP Care in Patients with Advanced Tumors in the Western Region of China
Authors: Zheng Xiaoqin , Peng Yanqiong , Liu Chonghua , Li Fei , Zhang Haiying , Liao Jia , Wu Guirong , Zeng Xiaomei , Xie Nan
Published: September 2022

Objective. The objective of this study is to explore the application of a very important person (VIP) intervention mode in patients with advanced tumors in the western region of China. Methods. One hundred and sixty‐three patients were randomly divided into a control and experimental groups. The control group received routine care, and the experimental group received VIP future care. The willingness to end‐of‐life treatment, decision‐making certainty, and quality of life were compared between the two groups before intervention (T0), after intervention (T1), and 1 month after intervention (T2). Results. There were no significant differences in the basic data of the two groups. Unlike the control group, the experimental group preferred palliative care at the end of T1 (P < 0.05), and the acceptance rate of cardiopulmonary resuscitation and mechanical treatment decreased significantly. After the VIP intervention, the patient was transferred to the intensive care unit (ICU) (P < 0.05). After 1 month of intervention (T2), the results showed that the overall quality of life, physical discomfort, negative emotions, care and support, survival predicament, and lifetime value of the patients were significantly higher than those before the intervention (all P < 0.05). Decision certainty results showed that the differences between the T0, T1, and T2 time points and the interaction between groups and time were statistically significant, and the interaction was more significant at T2 (P < 0.05). Conclusion. VIP future care can change patients’ wishes for end‐of‐life care, improve patients’ and quality of life, and increase patient decision‐making certainty.
Application Effect of External and Internal Elevation of Maxillary Sinus in Implant Restoration of Posterior Maxilla
Authors: Deng Xuan , Shi Rujie , Zhan Jia , Yang Fang
Published: September 2022

Objective. To explore and analyze the application effect of external and internal elevation of the maxillary sinus in implant restoration of the posterior maxilla. Methods. A total of 84 patients undergoing implant restoration of the posterior maxilla in the hospital were enrolled between January 2019 and March 2021. According to the random number table method, they were divided into the observation group (n = 42) and the control group (n = 42). The control group underwent external elevation of the maxillary sinus, while the observation group underwent internal elevation of the maxillary sinus. At 6 h, 12 h, and 24 h after surgery, the pain degree between the two groups was compared. All were followed up at 6 months after surgery. The osseointegration (bone resorption around implants, elevation height of maxillary sinus floor, average healing time) and soft tissues (bleeding index, plaque index, probing depth) in both groups were observed. The occurrence of postoperative complications was recorded. Results. At 6 h, 12 h, and 24 h after surgery, VAS scores in the observation group were significantly lower than those in the control group (

P
<
0.05

). At 6 months after surgery, bone resorption and elevation height of the maxillary sinus floor in the observation group were significantly higher than those i.0.0n the control group, and the average healing time was significantly shorter than that in the control group (

P
<
0.05

). The bleeding index, plaque index, and probing depth in the observation group were significantly lower than those in the control group (

P
<
0.05

). There was no significant difference in the incidence of postoperative complications between the observation group and the control group (9.52% vs. 19.05%) (

P
>
0.05

). Conclusion. The application effect of internal elevation of the maxillary sinus is good in implant restoration of the posterior maxilla, which can relieve pain and swelling and improve implant effect.
[Retracted] Analysis of Network Resources Integration of Political Thought Courses in Institution of Higher Learning Based on Collaborative Education Environment
Authors: Li Fengfeng
Published: September 2022

The importance of political thought courses in higher education institutions is directly related to the caliber and extent of staff development. This essay carefully examines and discusses the integration of network resources for political thought courses in higher education institutions from the standpoint of collaborative education. This article analyses the current state of the integration of network resources into higher education institutions’ political thought curricula. The general DM process and DM‐related technologies are studied concurrently. The mining model based on the study of political thought course is chosen in conjunction with this course. Additionally, a teaching resource integration method based on the idea of collaborative learning is developed, including the development of an Arduino device identification program based on NN and an Arduino device learning resource base. In accordance with the design of the network resource integration method used in the political thought course, the article evaluates the model’s performance in a number of different areas. The proposed algorithm’s accuracy is 95.11 percent, according to experiments. The recall rate of this algorithm can also go as high as 93.94 percent. In order to further reform teaching and raise the standard of learning, this study can offer students learning direction.
An Insight into the Clinical Application of Gut Microbiota during Anticancer Therapy
Authors: Li Wenyu , Chen Tingtao
Published: September 2022

The gut microbiota, regarded as “the second genome” of human, is responsible for a considerable number of key physiological responses in the host, including the regulation of host immunity, the prevention of pathogen infection, the synthesis and metabolism of critical molecules, and others. More importantly, recent research highlighted that it could also play an indispensable role during anticancer therapy. By interacting with the host immunity or producing direct modifications on the drugs, the gut microbiota can ultimately contribute to the effectiveness of anticancer treatments and also overcome the therapy-induced adverse effects. In this review, we discuss the potential mechanisms of gut microbiota in facilitating anticancer therapy and illustrate the applications of different commensal bacterial species in preclinical and clinical trials, which may provide insights into how the gut microbiota could be used as a promising adjuvant therapy option for the future treatment.
Influence of Optimal Adjustment of FAST Active Reflector on Receiving Efficiency
Authors: Zhao Jianjie
Published: September 2022

In this study, how to optimize and adjust the five hundred-meter aperture spherical radio telescope—FAST—active reflector and the impact on the receiving efficiency after optimization are discussed. The shape adjustment of the active reflector of FAST can be taken as the deformation of a continuous and ideal surface. The surface equation with parameter idealization is established. Meanwhile, the ideal surface equation is obtained and the corresponding evaluation function is given to evaluate the ideal parabolic equation. Furthermore, the ideal surface equation is discretized, and the discrete points are taken as the position to which the actual main cable node should be displaced by the down-tie cable. Finally, a receiving efficiency model is established to compare the actual receiving efficiency of the previous and after reflection panels. The accuracy similar to the ideal paraboloid of the reflector shape in the working area previous and after deformation is given. The results show that our optimization and adjustment model can improve the receiving efficiency of FAST reflective panel with small deformation.
[Retracted] Analysis of Surveying and Mapping Method of Landownership and Environmental Resources Confirmation Based on GPS Technology
Authors: Dai Fanye
Published: September 2022

The establishment of the agricultural and forestry land management information system is predicated on the acquisition of spatial positioning data of agricultural and forestry land, i.e., the surveying and mapping of agricultural and forestry land. It also serves as the central component of the overall management information system. It is necessary to find solutions to the issues of large plot areas and far‐reaching boundary lines in light of the current situation of land right confirmation. With its high efficiency, the use of GPS technology for land right confirmation can not only increase work productivity and speed up construction but also lower operating costs. The method of confirming landownership through surveying and mapping is studied in this paper using GPS technology. With respect to various land types, various classification methods have varying degrees of classification accuracy. This method is one of the three algorithms that classify green land, which includes grassland, cultivated land, and forest land; however, it does not clearly distinguish between forest land and grassland, with forest land having an average classification accuracy of 58.69 percent. The average accuracy of classifying forest land is 73.14 percent. The classification accuracy of forest land using this method is 88.45 percent, which is a relatively high percentage. It can be seen that this method is more accurate in identifying minute differences between ground objects. This is demonstrated by comparing the accuracy of forest land classification with that of other methods. A lot of surveying and mapping work has been done on the assumption that urban control networks have been established in many cities. The most ideal option is to combine GPS technology with high‐precision photogrammetry.
ADAM33 Silencing Inhibits Vascular Smooth Muscle Cell Migration and Regulates Cytokine Secretion in Airway Vascular Remodeling via the PI3K/AKT/mTOR Pathway
Authors: Yan Fang , Hu Xin , He Long , Jiao Kegang , Hao Yanyan , Wang Jing
Published: September 2022

Introduction. Vascular smooth muscle cells (VSMCs) are highly involved in airway vascular remodeling in asthma. Objectives. This study aimed to investigate the mechanisms underlying the effects of a disintegrin and metalloproteinase-33 (ADAM33) gene on the migration capacity and inflammatory cytokine secretion of VSMCs. Methods. Human aortic smooth muscle cells (HASMCs) were transfected with lentiviral vectors carrying short hairpin RNA (shRNA) targeting ADAM33 or negative control vectors. The migration capacity of HASMCs was evaluated by a transwell assay. The levels of secreted inflammatory cytokines were measured using enzyme-linked immunosorbent assay (ELISA) kits. Reverse transcription-quantitative polymerase chain reaction and Western blot assays were performed to detect mRNA and protein expression levels. Results. Silencing of ADAM33 significantly inhibited the migration of HASMCs. The expression of tumor necrosis factor alpha (TNF-α) in the supernatant of HASMCs was decreased, while that of interferon gamma (IFN-γ) was increased after the transfection of shRNA targeting ADAM33. Insufficient ADAM33 expression also suppressed the expression levels of phosphatidylinositol 3-kinase (PI3K), phospho-protein kinase B (AKT), phospho-mammalian target of rapamycin (mTOR), Rho-associated protein kinases, phospho-forkhead box protein O1 (FOXO1), and cyclin D1, but it did not affect the levels of AKT, mTOR, or Rho. Conclusion. Silencing of the ADAM33 gene inhibited HASMC migration and regulated inflammatory cytokine secretion via targeting the PI3K/AKT/mTOR pathway and its downstream signaling. These data contribute to a better understanding of the regulatory mechanisms of airway vascular remodeling in asthma.
Application of Blockchain Technology in Electric Vehicle Charging Piles Based on Electricity Internet of Things
Authors: Liu Haitao , Lv Zhipeng , Song Zhenhao , Zhou Shan , Liu Wenlong , Fang Mu
Published: September 2022

With the continuous development of urban intelligence, as traffic, power grids, and electric vehicles are new ideas to solve energy shortages and air control problems, they have received widespread attention from the society and strong support from the government. The charging pile is a key hub for data exchange and has typical characteristics of IoT terminals. However, the guidance of the grid connection of electric vehicles is not standardized, and the security and stability of the power grid will inevitably be affected. The blockchain has the characteristics that data is difficult to tamper with and decentralized. Based on these two characteristics, the information recorded by the blockchain is more authentic and reliable. This paper is aimed at realizing the global unified identification and management of large terminal equipment based on ubiquitous power Internet of Things equipment with the help of blockchain technology and at providing safe, efficient, and stable online management services for a large number of devices in the ubiquitous power Internet of Things. In this paper, we analyze the application possibility of blockchain technology in the current electricity market and apply blockchain technology to the electricity market to solve the drawbacks of the electricity market, as well as adding blockchain analytics to the renewable energy electricity market. The experimental data analysis shows that with the increase of the length of the blockchain, the blocking time of the new area increases correspondingly, but the overall performance declines slightly, so this scheme can meet the practical needs of a large number of concurrent access terminals in the ubiquitous power Internet of Things. It can be seen that the successful application of blockchain technology based on the power Internet of Things in electric vehicle charging piles has greatly improved work efficiency.
Lack of Association between Epidermal Growth Factor or Its Receptor and Reflux Esophagitis, Barrett’s Esophagus, and Esophageal Adenocarcinoma: A Case-Control Study
Authors: Deissova Tereza , Cvanova Michaela , Kala Zdenek , Jiraskova Zakostelska Zuzana , Dolina Jiri , Kunovsky Lumir , Kroupa Radek , Pavlovsky Zdenek , Lipovy Bretislav , Danek Zdenek , Izakovicova Holla Lydie , Urban Ondrej , Navratil Vit , Lischke Robert , Harustiak Tomas , Grolich Tomas , Prochazka Vladimir , Slaby Ondrej , Borilova Linhartova Petra
Published: September 2022

The epidermal growth factor (EGF) and its receptor (EGFR) gene-gene interactions were shown to increase the susceptibility to esophageal cancer. However, the role of the EGF/EGFR pathway in the development of gastroesophageal reflux disease (GERD) and its complications (reflux esophagitis (RE), Barrett’s esophagus (BE), and esophageal adenocarcinoma (EAC)) remains unclear. This association study is aimed at investigating functional EGF and EGFR gene polymorphisms, their mRNA expression in esophageal tissues, and EGF plasma levels in relation to RE, BE, and EAC development in the Central European population. 301 patients with RE/BE/EAC (cases) as well as 98 patients with nonerosive reflux disease (NERD) and 8 healthy individuals (controls) were genotyped for +61 A>G EGF (rs4444903) and +142285 G>A EGFR (rs2227983) polymorphisms using the TaqMan quantitative polymerase chain reaction (qPCR). In random subgroups, the EGF and EGFR mRNA expressions were analyzed by reverse transcription qPCR in esophageal tissue with and without endoscopically visible pathological changes; and the EGF plasma levels were determined by enzyme-linked immunosorbent assay. None of the genotyped SNPs nor EGF-EGFR genotype interactions were associated with RE, BE, or EAC development (

p
>
0.05

). Moreover, mRNA expression of neither EGF nor EGFR differed between samples of the esophageal tissue with and without endoscopically visible pathology (

p
>
0.05

) nor between samples from patients with different diagnoses, i.e., RE, BE, or EAC (

p
>
0.05

). Nevertheless, the lower EGF mRNA expression in carriers of combined genotypes AA +61 EGF (rs4444903) and GG +142285 EGFR (rs2227983;

p
<
0.05

) suggests a possible direct/indirect effect of EGF-EGFR gene interactions on EGF gene expression. In conclusion, EGF and EGFR gene variants and their mRNA/protein expression were not associated with RE, BE or EAC development in the Central European population.