bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility Deconstruction on the Establishment of Martial Arts Short Soldier Course Assisted by Multimedia Computer Network
Authors: Meng Fei
Published: August 2022

Martial arts short-armed sport is an important item of martial arts. At present, the martial arts short soldier movement in the society cannot be carried out due to various reasons. As a sports academy, it is our responsibility to shoulder this important task. With the popularization of the Internet and the rapid development of multimedia and network technologies, human society has entered an information age. Traditional classroom teaching has been unable to meet the requirements of the times. Due to its characteristics of remote real-time interaction, network education has become a new generation of educational technology that combines network and multimedia technology. Network course is the most important learning content in network teaching, and its design, development, and implementation have received more and more attention. With the rapid development of computer network technology, the status of computer-aided teaching in teaching improvement has also been continuously improved. Computer-assisted instruction (CAI) is a hot topic in today’s classrooms. In physical education, computer-aided teaching makes up for the shortcomings of illustrations, text descriptions, teacher explanations, demonstrations, etc., in textbooks and overcomes the shortcomings of traditional teaching aids. It simplifies complex actions and concretizes non-decomposable actions. Computer-aided teaching can not only help students understand, master knowledge, and develop intelligence, but also help teachers master information and improve teaching quality. This study studies the recognition and application effect of CAI in the short-armed martial arts courses in physical education colleges. The data show that martial arts short-armed sports have outstanding advantages in combat, safety, fitness, and viewing. The experimental group scored around 90 points.
Prediction and Analysis of College Sports Test Scores Based on Computational Intelligence
Authors: Cui Pengtao
Published: August 2022

Nowadays, colleges and universities are paying more and more attention to the physical condition of students. Many schools set up physical education courses to exercise students and improve their physical quality. They also conduct physical examinations every semester to test students’ conditions. In order to ensure more accurate sports results, this paper uses optimization of the neural group particle group model method to forecast the physical culture test scores of the investigated students. In addition, to guarantee accuracy the particle swarm optimization neural network model method, we compare the GXD method and the LM method with our method. It has the advantage of high precision, optimal prediction effect, strong versatility, higher recall rate, stronger antinoise performance, and wider application range. The article compares the neural network model method for particle swarm optimization with the GXD way and the LM way to ensure precision the neural network model method for particle swarm optimization.
Data Acquisition through Mobile Sink for WSNs with Obstacles Using Support Vector Machine
Authors: Sulakshana Guduri , Kamatam Govardhan Reddy
Published: August 2022

Mobile sink-based data collection in wireless sensor networks has become an attractive research area to mitigate hotspot issues. It further increases the efficiency of the WSN, such as throughput, lifetime, and energy efficiency, while decreasing delay and packet losses. Mobile sink algorithms developed by many researchers in recent years have only contributed to obtain efficient path planning, and only a few researchers have focused on solving the problem of network environment with obstacles. Here, constructing an obstacle-aware path for the mobile sink to collect data in WSN is a challenging issue. In this context, we present the data acquisition through mobile sink for WSNs with obstacles using support vector machine (DAOSVM). The DAOSVM algorithm works in two phases: visiting point selection and path construction. The visiting point selection uses spanning tree approach, and the path selection uses SVM. The computational complexity of the proposed DAOSVM is estimated and compared using the existing techniques, and it is lower. The DAOSVM also outperforms traditional methods concerning multiple performance metrics under various scenarios.
Impact of Optimizing the Emergency Care Process on the Emergency Effect and Prognosis of Patients with Hepatic Encephalopathy
Authors: Wei Fang , Tan Haihong , He Yubiao , Shu Xin
Published: August 2022

Hepatic encephalopathy (HE) is a serious complication caused by liver disease and is one of the leading causes of death in patients. Studies have shown that proper emergency care for patients after the occurrence of HE can improve their prognosis and quality of life. Therefore, this study focuses on the effect of optimizing the emergency care process on the effectiveness and prognosis of emergency care for patients with hepatic encephalopathy. In this study, we set 32 patients with HE admitted to receive routine emergency care between May 2020 and March 2021 as the control group and 34 patients with HE admitted to receive optimized emergency care processes between April 2021 and February 2022 as the observation group. The satisfaction of patients’ families with this care was assessed using a self-administered nursing satisfaction questionnaire to record the outcome of emergency care, quality of care, and prognosis of patients in the two groups of palliative care. The data collected were analyzed using SPSS17.0 software, and the results showed that the time spent on diagnosis, resuscitation, DTP, and DTT was much lower in the observation group than in the control group, and the scores related to the quality of care, such as ambulance technique, humanistic care, resuscitation efficiency, and resuscitation effect, were all higher than those of the control group, and the satisfaction of the family members in the observation group was also significantly higher than that of the control group (

P
<
0.05

). The success rate of first aid in the observation group was 100.00%, which was higher than 93.72% in the control group, but the difference between the two groups was not significant (

P
>
0.05

). It can be seen that the application of an optimized emergency nursing process in HE patients is effective, which can effectively improve the success rate of HE resuscitation, shorten the resuscitation time and condition diagnosis, improve the resuscitation effect, improve the quality of nursing care, and improve the prognosis of patients to a certain extent.
A Fault-Tolerant Structure for Nano-Power Communication Based on the Multidimensional Crossbar Switch Network
Authors: Luo Jun , Liao Boxun
Published: August 2022

In order to realize fault tolerance and further reduce the transmission delay, a fault-tolerant structure design method for nano-power communication based on a multidimensional crossbar switch network is proposed. The TSV router is designed as a double crossbar structure, namely the master crossbar (MasterCrossbar) and the slave crossbar (SlaveCrossbar). Each input port of the TSV router is divided into two subports. The port connected to the master crossbar has no input buffer, and the port connected to the slave crossbar has an input buffer. Master crossbar is the first choice for data transmission, and slave crossbar is selected when it is busy to reduce the transmission delay of data packets and reduce power consumption. Dual crossbar switches can also realize the fault tolerance of crossbar switches. The experimental results show that the author's fault-tolerant scheme, without incorporating the double crossbar switch, still has a much smaller transmission delay than the reference because the author realizes fault tolerance for defective TSVs by adding bidirectional TSVs to replace faulty TSVs. Therefore, when there is a TSV failure, the reference transmission delay increases with the number of failures, but the author's design allows packets to be transmitted in the network without being affected; the author's bidirectional TSV fault-tolerant design is combined with the double crossbar design. After that, the transmission delay is smaller than the original, and the maximum transmission delay is about 40% faster than the reference. The authors' design is superior and improves the reliability of the 3DNoC system.
miR-212 Promotes Cardiomyocyte Hypertrophy through Regulating Transcription Factor 7 Like 2
Authors: Yuan Jinxia , Yuan Guoliang
Published: August 2022

To explore the role and possible mechanism of miRNA-212 in heart failure (HF). The rat model of abdominal aortic constriction was constructed, the changes of myocardial morphology were observed by hematoxylin-eosin (HE) staining, and the hypertrophy-related marker molecules were detected by quantitative real-time polymerase chain reaction (qRT-PCR). At the cellular level, phenylephrine and angiotensin II were added to induce cardiomyocyte hypertrophy. The overexpression of miR-212 adenovirus was constructed, and the expression of miR-212 was overexpressed, and its effect on cardiac hypertrophy (CH) was detected by immunofluorescence and qRT-PCR. Then, the mechanism of miR-212 regulating CH was verified by website prediction, luciferase reporter gene assay, qRT-PCR, and western blotting assay. In the successfully constructed rat model of abdominal aortic constriction and cardiomyocyte hypertrophy, ANP and myh7 were dramatically increased, myh6 expression was decreased, and miRNA-212 expression was increased. Overexpression of miRNA-212 in cardiomyocytes can promote cardiomyocyte hypertrophy, while knocking down miR-212 in cardiomyocytes can partially reverse cell hypertrophy. In addition, miR-212 targets TCF7L2 and inhibits the expression of this gene. miRNA-212 targets TCF7L2 and inhibits the expression of this gene, possibly through this pathway to promote cardiomyocyte hypertrophy.
Analysis on the Coupling Relationship between Natural Resource Loss and Environmental Pollution Cost Accounting in Chongqing
Authors: Chen Feng , Zhao Zhanxing
Published: August 2022

Natural resource loss and environmental pollution are the focus of attention at present. Based on the analysis of the coupling relationship between natural resource loss and environmental pollution cost accounting in Chongqing, this paper makes a comprehensive analysis of the accounting results. First of all, we should define the loss of natural resources and set the direction of research and development, establish the ecosystem data model, calculate the environmental pollution cost, and display the calculation results. The results show that (1) air pollution is the focus of environmental pollution. On the premise of ensuring production quality, control the number of emissions from production and reprocess the emissions. (2) In the process of paying attention to water and soil resources, detect and protect water resources and soil, and calculate the ecological value of water resources and soil. Pay attention to the benefits between water and soil and transform and optimize the ecological value system of natural resources.
The Prevalence of Uncontrolled Hypertension among Patients Taking Antihypertensive Medications and the Associated Risk Factors in North Palestine: A Cross-Sectional Study
Authors: Alawneh Issa S. , Yasin Ahmad , Musmar Samar
Published: August 2022

Background. Uncontrolled hypertension (HTN) is a challenge for public health professionals all over the world. It is the leading and most important modifiable risk factor for coronary artery disease, congestive heart failure, stroke, renal diseases, and retinopathy. The aim of the present study was to estimate the prevalence of uncontrolled HTN among Palestinian hypertensive patients on treatment. In addition, the study aimed to explore the relationship between socio-demographic and clinical factors with HTN control as well as establish a comprehensive literature review for similar studies. Methods. A cross-sectional study was conducted. 218 hypertensive patients who met the inclusion criteria were included in the study. Results. HTN is not adequately controlled in over 60% of treated patients. Factors that were linked to uncontrolled HTN and were statistically significant as per this study were diabetes (

p
=
0.010

), high BMI (

p
=
0.009

), smoking (

p
<
0.0001

), lower educational level (

p
=
0.002

), and monotherapy (

p
=
0.004

). Conclusion. The results suggest that effective efforts on improving HTN control are strongly needed. The efforts need to target hypertensive patients who are also smokers, diabetics, having a low education level, and have a higher-than-normal BMI.
Energy Conservation Optimization and Numerical Simulation of Urban Green Space Landscape Pattern
Authors: Wang Lan
Published: August 2022

In order to alleviate the urban heat island effect, absorb harmful gases, reduce temperature, and increase humidity, a method of energy conservation optimization and numerical simulation of urban green space landscape pattern is proposed. Based on the theory of landscape ecology, green wedge, green belt, green road, park, and other types of green space with different ecological functions are designed in Shenyang, and an optimization scheme of urban green space network spatial structure of “four belts, three rings, seven wedges, and network connection” is formed. Combined with remote sensing (RS) and geographic information system (GIS) spatial analysis technology, the atmospheric environment effect under the influence of green space landscape optimization pattern in summer based on computational fluid dynamics (CFD) numerical simulation technology is analyzed, and the corresponding optimization strategies of urban green space planning are put forward. The simulation results show that in the bottom wind speed field of 1.5 m, the area ratio of 0∼0.375 m/s wind speed is 15.87%, and the area ratio of 2.625∼3 m/s wind speed is 32.06%. In the bottom concentration field of 1.5 m, the spatial diffusion capacity of SO2 pollutants is enhanced, and the concentration of pollutants is relatively low. The area ratio of SO2 concentration is 10.06% in the range of 0.1292∼0.1551 mg/m3, and the area ratio of SO2 concentration is 68.08% in the range of 0∼0.05169 mg/m3. It is concluded that the spatial diffusion of wind speed, SO2, and temperature is closely related to the urban spatial layout. The optimal spatial layout of urban green space can effectively alleviate the urban heat island effect, promote the spatial diffusion of SO2, and better form the urban ventilation corridor. The research on atmospheric environmental effects of urban green space based on CFD can effectively simulate and evaluate the optimization measures and conceptual design of urban green space system planning, and also provide new ideas for the quantitative planning of urban green space system.
Research on Cross-Platform Image Recommendation Model Fusing Text Information
Authors: Wang Heyong , Hong Ming , Lin Canxin
Published: August 2022

The user data from different types of network platforms are often presented in different modalities, such as text, image, or audio. Many researches have shown that fusing the data information displayed by users on different platforms can better reflect the interest characteristics of users. Hence, this paper proposes a cross-platform image recommendation model (FITIFCIR), which fuses text and image information to achieve cross-platform data recommendation. Furthermore, it realizes the semantic information fusion of text and image, so as to recommend the images collected by users on the image sharing platform to the text to be published. Compared with baseline image recommendation models, the experimental results indicate that the FITIFCIR outperforms baseline models. The proposed model is effective to recommend appropriate images for users to better illustrate their ideas.
A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining
Authors: Liu Xinlei
Published: August 2022

The development of information technology such as the continuous improvement of mobile Internet infrastructure and the performance of computers has made it easy to process and share information. The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology. Generally speaking, the main causes of climate change can be summarized into two categories: natural climate fluctuations and the impact of human activities which is a major measure taken by China to actively respond to climate change. This is a successful approach to actively explore the rapid development of China’s industrialization and urbanization, which not only develops the economy and improves people’s livelihood but also responds to climate change and reduces carbon intensity. Firstly, this paper mainly is aimed at the connotation of regional low-carbon economic development mode, studying the basic mode of regional low-carbon economic development, and analyzing the characteristics and applicable conditions of each mode. Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. Thirdly and finally, when choosing the regional low-carbon economic development mode, comprehensive consideration should be given to the economic development basis, energy structure, resource characteristics, industrial status, development mode, geographic location, and other factors. This paper studies the basic conditions and applicable conditions of regional economic development models. The conclusion shows that from the perspective of regional economic evolution, low-carbon economy can be regarded as the decarbonization process of economic development. It is an economic form combining its own characteristics and an inevitable requirement for the transformation of regional economy from other economic models to low-carbon economic models. And other factors of Selection of regional economic development foundation, energy structure, resource characteristics, industrial status, development mode, geographical location, were also discussed.
Image Simulation of Traditional Village Spatial Layout Based on Computer Numerical Analysis
Authors: Li Leili , Zhang Jiaqi
Published: August 2022

In order to solve the problems of insufficient protection and spatial development of traditional villages, a method of spatial layout of traditional villages based on computer numerical analysis is proposed. This method uses GIS technology to determine the spatial distribution characteristics of traditional villages in a city by using the nearest neighbor index, geographic concentration index, and kernel density estimation, and analyzes its influencing factors. The experimental results show that most traditional villages are 60–119 km away from the central urban area, and 73% of the traditional villages are more than 60 km away from the central urban area. Traditional villages are generally far away from the central urban area and are less affected by urbanization, maintaining the original style of traditional villages. It shows that elevation, slope, hydrology, traffic conditions, economic indicators, and cultural factors are important factors affecting the spatial distribution of traditional villages in a city. Through analysis, it can be seen that the distribution of traditional villages is affected by multiple factors such as natural conditions, social and economic conditions, and cultural factors. The optimal layout of traditional villages can be strengthened mainly from these aspects.
Mechanical Performance of Deep Circular Caisson Sinking in Deep Layered Soft Soil
Authors: Liu Mingqing , Sun Fuxue , Gan Qinyu , Chi Enan , Li Xiaochun , Ge Gang
Published: August 2022

In order to study the mechanical behavior of open caisson foundation in the Wenzhou area, combined with the characteristics of the soil layer in the Wenzhou area, based on the field measurement and investigation of a wide range of engineering cases, this project studies the mechanical properties of open caisson sinking in soft soil stratum and optimizes the construction parameters through the combination of field measurement, numerical simulation, and theoretical calculation, while ensuring the smooth sinking of the open caisson, control the deformation effect of the soil around the open caisson to serve the urban construction. The research results can directly serve the whole process of design, construction, measurement, and control of open caisson engineering. It has engineering practical significance and can be used as a reference for similar projects.
[Retracted] The Application Value of SMI Technology and Contrast‐Enhanced Ultrasound in the Differential Diagnosis of Benign and Malignant Thyroid Nodules
Authors: Wu Jiahuan , Zhan Tian , Sun Honggang , Wang Fanbo
Published: August 2022

Thyroid disease has always been a common and frequent disease in clinical medicine, and its disease detection rate has been increasing year by year. Thyroid diseases are mainly divided into two categories: thyroid diseases treated by medical treatment and thyroid diseases treated by surgery. Thyroid cancer has also become one of the most common malignant secretory tumor diseases today. Ultrasound examination is a commonly used method for diagnosing thyroid diseases. During the diagnosis process, doctors need to observe the characteristics of ultrasound images and combine professional knowledge and clinical experience to give the patient’s disease status. With the improvement of people’s living standards and health awareness, thyroid disease has become an important issue that plagues the health of Chinese residents. Therefore, people and medical workers are paying more attention to thyroid disease. In recent years, various ultrasound technologies have been applied in the differential diagnosis of benign and malignant thyroid nodules and have played an important role in the diagnosis. This article aims to study the application value of SMI technology (ultra‐microvascular imaging technology) and contrast‐enhanced ultrasound in the differential diagnosis of thyroid benign and malignant nodules. It conducts diagnostic experiments and analysis on some cases of benign and malignant thyroid nodules through the use of SMI diagnostic methods and contrast‐enhanced ultrasound examination methods. And the ROC curve was used to calculate the sensitivity of SMI technology and ultrasound for the identification and diagnosis of thyroid benign and malignant nodules, and the results were 0.83 and 0.81, respectively. It is concluded that SMI technology and contrast‐enhanced ultrasound examination have good diagnostic efficiency and application value for the identification and diagnosis of thyroid benign and malignant nodules.
Chinese Public Perception of Climate Change on Social Media: An Investigation Based on Data Mining and Text Analysis
Authors: Zeng Li
Published: August 2022

Climate change is a serious threat to humankind. As broad public participation is required in climate change mitigation efforts, it is critical to understand how the public talk about climate change on social media. This study sets out to increase the understanding of Chinese public awareness of climate change, as well as explore the potential and limitations of social media for public engagement on climate change issues. It examines the Chinese public’s discussion about climate change on social media Weibo during the last six years through data mining and text analysis. The analyses include volume analysis, keyword extraction, topic modeling, and sentiment analysis. The results indicate three main aspects of public awareness and concern regarding climate change. First, public awareness of climate change is growing in China. Second, the sentiment analysis shows that the general sentiment toward climate change is becoming more positive over time. Third, based on keyword extraction and topic modeling, the discussion on climate change shows a top‐down perspective, an optimistic economic perspective, and a preference for celebrity content. The study provides a comprehensive picture of Chinese social media users’ views on climate change issues, based on large‐scale research data. It contributes to a better understanding of what Chinese people think about climate change on social media generally. These findings may provide government and environmental organizations with valuable insights for better climate change campaigns on social media.
Clinical and Biological Significances of a Ferroptosis-Related Gene Signature in Lung Cancer Based on Deep Learning
Authors: Yang Xiaosong , Hu Xuanjian , Guo Na
Published: August 2022

Acyl-CoA synthetase long-chain family member 4 (ACSL4) has been linked to the occurrence of tumors and is implicated in the ferroptosis process. Deep learning has been applied to many areas in health care, including imaging diagnosis, digital pathology, classification of cancer, and prediction of metastasis. Nonetheless, neither the level of ACSL4 expression nor its predictive significance in non-small-cell lung cancer (NSCLC) is well understood at this time. Predictions of the ACSL4 mRNA expressions in NSCLC and its link to NSCLC prognosis were made with the aid of the Oncomine and TCGA databases. By performing real-time PCR, we detected the levels of ACSL4 expression that were present in human NSCLC samples. Analyses of the diagnostic, as well as the prognostic significance of ACSL4 in NSCLC, were performed with the use of Kaplan-Meier curves. To assess the influence of ACSL4 on ferroptosis in NSCLC cell lines, an inducer of ferroptosis, namely, erastin, was utilized in this study. In NSCLC tissues, there was a substantial decrease in the level of ACSL4 expression (

p
<
0.001

), and this was in line with the findings of the inquiry into the Oncomine and TCGA databases. After that, the findings of the immunohistochemistry analysis revealed that the ACSL4 staining was weakened in NSCLC samples in contrast with the normal samples. It was shown that the differential expression of ACSL4 was substantially linked to the stages of cancer, smoking behaviors, and the status of nodal metastases (all

p
<
0.001

). According to the findings of the survival analysis, both RFS and OS were favorable among NSCLC patients who had elevated expression of ACSL4. The ferroptosis sensitization in cancer cells may be reestablished with upregulation of ACSL4 through gene transfection. Mechanistically, protein ubiquitination could perform a remarkable function in ACSL4-induced ferroptosis. ACSL4, which has a function in ferroptosis as both a contributor and monitor, was shown to be downregulated in NSCLC. This finding suggests that ACSL4 might function as a helpful diagnostic and prognostic biological marker and might also be considered a novel possible treatment target for NSCLC.
Green Synthesis of Datura stramonium (Asaangira) Leaves Infusion for Antibacterial Activity through Magnesium Oxide (MgO) Nanoparticles
Authors: Saka Abel , Jule Leta Tesfaye , Gudata Lamessa , Gindaba Adugna , Abdisa Soressa Shuma , Nagaprasad N , Ramaswamy Krishnaraj
Published: August 2022

The biosynthesized magnesium oxide nanoparticles were pigeon-holed with X-ray diffraction (XRD), ultraviolet-visible (UV-Vis) spectrophotometer, scanning electron microscope (SEM), and photoluminescence spectrometer (PLs) and antibacterial activity. Datura stramonium leaves extract has been used in the present work,; which has medicinal value, and we have synthesized magnesium oxide nanoparticles from both chemical and biosynthesis techniques. The XRD result indicates the realization of crystalline magnesium oxide nanoparticles, and again it is also inveterated with an ultraviolet-visible (UV-Vis) spectrophotometer. The superficial morphology expresses that magnesium oxide nanoparticles have a bulbous morphological shape for both biosynthesis and chemosynthesis. The antibacterial activity of magnesium oxide nanoparticles obtained from Datura stramonium leaves against E. coli and S. aureus was studied. The antibacterial activity also shows a good zone of inhibition. Both techniques are promising for the preparations of MgO nanoparticles in antibacterial activity and show the same result. This outcome demonstrates that the biosynthesized nanoparticles originate from having some medicinal uses and are biodegradable.
[Retracted] The Application of Color Psychology in Community Health Environment Design
Authors: Yang Jicheng , Shen Xiaoying
Published: August 2022

The topic of health has gained importance in today’s society in the context of a healthy China. The success of community environmental design is intimately correlated with everyone’s physical and mental health since it is the setting for people’s daily lives. At present, although the facilities and equipment of the community environment in our country are improving day by day, the important role of color psychology in the community environment has been neglected. Color has always been a part of human life and a very important component of the community environment. When it comes to the design of communal environments, the color design of various areas will have variable degrees of influence on the psychological space and perspective of individuals. Therefore, the purpose of this paper is to investigate the application value of color psychology in the design of community health environments using color psychology as a scientific foundation. Additionally, the paper attempts to use color psychology as a scientific basis to study the thinking of health issues in the community environment. In addition, the results of the questionnaire survey are used to perform analysis and discussion in order to investigate the regular characteristics of the various research objects, as well as their preferences and psychological needs for color. This is done with the goal of providing empirical support for the improvement of the community environment and the health of the people living in it. In the end, the results of the questionnaire survey are compiled with four different design concepts. These design principles include functionality, naturalness, beauty, and safety. And the design intention and optimization strategy from the three directions the overall building, planting, and paving in the community healthy environment are then presented. This is done in order to create a colorful and comfortable healthy environment for the community life of people and to support the development of people’s physical and mental health.
The Association of Obesity and the Antiaging Humoral Factor Klotho in Middle-Aged and Older Adults
Authors: Orces Carlos H.
Published: August 2022

Objectives. Previous studies have reported conflicting results regarding the relationship between obesity and the antiaging humoral factor klotho. Thus, the present study aimed to examine the association of anthropometric measurements, weight history change, and vitamin D status with serum klotho levels. Methods. The National Health and Nutrition Examination Survey data were used to compare sex-specific logarithm transformed serum klotho levels across standardized anthropometric measurements and weight change history in subjects aged 40–79 years. The baseline measured height, and self-reported weight were used to calculate the body mass index (BMI) at two-time intervals: age 25 and ten years before the measured BMI. Subjects were then categorized as never obese, obese to nonobese, nonobese to obese, and always obese. Results. Of 4,971 participants, the prevalence of general obesity was 41%, and abdominal obesity (waist circumference ≥88 cm) was present in 75% of women. Overall, lower serum klotho levels were seen in older adults, men, nonsmokers, alcohol users, and those with an estimated glomerular filtration rate (eGFR) < 60 ml/min. Multivariate models demonstrated that general and abdominal obesity in women was inversely associated with serum klotho levels. Moreover, women who developed obesity from age 25 and ten years before the baseline BMI had significantly lower mean klotho levels at 765.0 and 757.4 pg/ml compared with 820.5 pg/ml (

p
<
0.05

) among those that were never obese, respectively. In contrast, serum klotho levels did not significantly differ among men, irrespective of their weight history. In a subanalysis, higher klotho levels were seen in participants with an adequate vitamin D status (≥50 nmol/L) than their overweight and obese counterparts (

p
<
0.05

). Conclusions. Obesity among women was significantly and inversely associated with serum klotho levels. Similarly, women who developed obesity during their lifetime had consistently lower klotho levels than their never-obese counterparts.
The Effect of Jogging on the Physical Health of College Students Based on Intelligent Computing
Authors: Liang Kai , Wan Yi , Jiang Yan
Published: August 2022

Intelligent computing is an environment-adaptive computing method developed by using various mechanisms of physical or natural phenomena. The university stage is a critical period for a person’s physical and mental development. Healthy psychology and physical quality are the basic characteristics of students’ talents and a reliable guarantee for students’ normal study, life, and work. The purpose of this article is to study how to analyze and study the impression of jogging on the physical health of college students based on intelligent computing and describe the intelligent computing algorithm. This article puts forward the problem of the impact of jogging on the body, which is based on intelligent computing, elaborates on the concept of intelligent computing and related algorithms, and designs and analyzes the impact of jogging. The experimental results showed that after 5 months of jogging, there was no significant difference in the height and weight of the subjects. The body fat percentage of boys decreased significantly before and after exercise, but there was no significant difference after the statistical test (P > 0.05), from 20.42 ± 2.53 to 20.21 ± 3.28. The body fat percentage of girls decreased significantly, with a significant difference (P < 0.05), from 29.43 ± 4.27 to 25.72 ± 2.94.
Tribological Behavior of Al/Nanomagnesium/Aluminum Nitride Composite Synthesized through Liquid Metallurgy Technique
Authors: Srinivasan D. , Meignanamoorthy M. , Gacem Amel , Vinayagam Mohanavel , Sathish Thanakodi , Ravichandran M. , Srinivasan Suresh Kumar , Abdellattif Magda H. , Allasi Haiter Lenin
Published: August 2022

Despite its excellent qualities such as hardness, tensile, and yield strength, aluminum alloys are mostly used in aviation fins and car frames. However, wear resistance at maximum load is weak. This effort will now synthesize and investigate the tribological behavior of AA6063‐ (AlMg0.7Si‐) AlN composites. The goal of this experiment is to determine the best wear rate and coefficient of friction for the AA6063‐AlN with nanomagnesium composites developed. Weight percent, load (L), sliding velocity (SV), and sliding distance (SD) are the process factors studied, and the output responses are wear rate and friction coefficient. Bottom pouring type stir casting was used to create AA6063‐AlN composites with various weight percentages. The various compositions are AA6063, AA6063‐4 wt% AlN, AA6063‐8 wt% AlN, and AA6063‐12 wt% AlN. A pin‐on‐disc machine inspected the wear rate and friction coefficient of AA6063‐AlN composites. Experimentation was done according to L16 orthogonal array (OA). Wear rate (WR) and coefficient of friction (COF) examinations were made to identify the optimum parameters to obtain minimum WR and COF for the AA6063‐AlN composite via grey relational analysis (GRA). The contour plot analysis clear displays WR and COF with respect to wt% vs. L, wt% vs. SV and wt% vs. SD. The ANOVA outcomes revealed that wt% is the most vital parameter (85.55%) persuading WR and COF. The optimized parameters to achieve minor WR and COF was found as 12 wt% of AlN, L 20 N, SV 3 m/s, and SD 400 m. The worn surface was analyzed using scanning electron microscope and indicates that addition of AlN particles with matrix reduces the scratches. These articles offer a key for optimum parameters on wear rate and COF of AA6063‐AlN composites via Taguchi grey relational analysis.
Synthesis of SiO2 Nanoparticle Epoxy Resin Composite and Silicone-Containing Epoxy Resin for Coatings
Authors: Wang Shengwen , Qiu Yinxiang
Published: August 2022

Due to its unique properties, including strong adhesion force, high heat resistivity, high insulation properties, and strong mechanical properties, epoxy resin is the most commonly used material for a variety of applications, including adhesives, electronic devices for coatings, and somewhere as a matrix for reinforcement of composites as a fiber network. To boost their properties, different other materials are also inserted in their structure and made its composites; silicon is one of them. Corrosion is serious for marine equipment and causes economic loss. To overcome such issues, different types of coating materials are developed. In this review, current methods for coatings of different materials using a silicon dioxide epoxy nanocomposite are discussed in diversity with the currently followed synthetic routes for the preparation of nanosilica epoxy composites and enhanced properties.
[Retracted] Analysis of the Effect of the Stability of Athletes’ Psychological Quality on Sports Basketball Games
Authors: Zhang Xin , Zeng Xiaoyun
Published: August 2022

Enthusiasm for sports competitions is consistently high. In sports competitions, athletes not only need to have superb skills but also need a strong psychological quality. Usually, athletes with high psychological quality can make their technical level outstanding; on the contrary, for athletes with low psychological quality, even if the level of competition is very high, it is difficult to achieve excellent results. This study analyzes the data of basketball players to study the influence of the stability of different players’ psychological quality on the performance of basketball games. The “mental state” of basketball players is negatively correlated with their performance in basketball games, and the players’ psychology often shows signs of tension during basketball games. This tension is the result of a variety of psychological effects, and the number of times of tension is different under different psychological quality stabilities. The experimental analysis results of this study show that through the data analysis of the psychological factors affecting basketball players, the key factors affecting their psychology have been explored, and strategies and methods that can effectively cultivate the psychological quality of basketball players have been found, in order to provide a reference for improving the psychological quality of basketball players.
Physicochemical, Electronic Nose and Tongue, Sensory Evaluation Determination Combined with Chemometrics to Characterize Ficus hirta Vahl. (Moraceae) Beer
Authors: Chen Yanyu , Wei Zilai , Zhang Tianyu , Ng Keng Hong , Ye Jun , He Wenmeng
Published: August 2022

Ficus hirta Vahl. (FHV) is widely consumed because of its functional and aromatic compounds. The incorporation of adjuncts contributes to the functional and flavor properties of beers. This study aims to enrich FHV extractions to develop beers with satisfactory physicochemical, antioxidant, and sensory characteristics. As a result, beers with 0.1 g/mL (P1) and 0.067 g/mL (P3) FHV extraction showed the highest values of physicochemical properties including °Brix, antioxidant activity, foam, lightness, and color intensity. Electronic nose and tongue results show that the aroma of P1 and taste of P3 were quite different from those of other FHV beers, resulting in substantially high consumer preference. The liking drivers of FHV beers were color appearance, hop and malty odor, sweet and malty flavor, thickness, and carbonation mouthfeel. However, the astringency flavor attribute was the disliking factor for beers. The results of this study may provide some references and guidelines for the development of Ficus hirta Vahl. functional beer to control the physicochemical, antioxidative, and sensory properties of the beer.
Unsteady MHD Thin Film Flow of a Second-Grade Fluid past a Tilted Plate under the Impact of Thermal Radiation and Chemical Reaction
Authors: Endalew Mehari Fentahun , Goshu Masitawal Demsie , Tegegne Yimer Chekol
Published: August 2022

This paper explores the impact of chemical reaction and thermal radiation on time-dependent hydromagnetic thin-film flow of a second-grade fluid across an inclined flat plate embedded in a porous medium. The thermal radiation based on the Rosseland approximation is incorporated in the energy equation. Uniform applied magnetic field and first-order homogenous chemical reaction are included in the momentum and concentration equations, respectively. The novel mathematical flow model is constructed by using a set of partial differential equations (PDEs). The PDEs are then transformed into an equivalent set of ordinary differential equations (ODEs) and solved by applying the Laplace transform method. However, the time domain solutions are obtained by using the INVLAP subroutine of MATLAB. Physical parameters influencing thin-film velocity, temperature, and concentration are illustrated graphically, while those affecting skin friction, heat, and mass transfer rates are presented in a tabular form. It is found that thin-film velocity and temperature boost with increasing values of thermal radiation, but thin-film velocity decreases with increasing values of chemical reaction and magnetic field. The current investigation is to enhance heat and mass transfer in the design of mechanical systems involving the thin film flow of second-grade fluids over an inclined flat plate after applying thermal radiation and chemical reaction.
Curriculum Reform and Adaptive Teaching of Computer Education Based on Online Education and B5G Model
Authors: Tian Rongming , Tang Yan
Published: August 2022

At present, my country’s information and computer technology is developing rapidly, and the world has been widely integrated into the Internet age. Under the Internet teaching mode, the reform of computer courses is imminent. Teachers must reverse the traditional backward and lecture-style teaching methods, effectively integrate with information technology, and continue to expand. In this context, this paper briefly analyzes the reform and adjustment of computer education courses based on the B5G model and network education model and proposes specific reform strategies. Undoubtedly, its impact on education will be more direct, and the combination of B5G and artificial intelligence as representatives of emerging technologies will certainly pose new challenges to the educational thinking mode and will also lead to profound changes in the educational ecological model.
Research on Evolutionary Game of Value Co‐Creation Behavior of Shared Private Charging Piles of Electric Vehicles
Authors: Wu Wenjian , Deng Li , Tao Yu , Wang Xin
Published: August 2022

To study the sharing behavior of private charging piles of electric vehicles, an asymmetric evolutionary game model is constructed based on the formation of respective investment costs and benefits of charging service operators and private charging pile owners; and considering the interactive factors such as the investment scale of shared charging platform construction and the number of private charging piles participating in sharing, this study explores the evolution process of value co‐creation between the two parties in the private pile sharing mode, analyzes the evolution mechanism of their respective strategy choices, and explains the impact of sudden variable interference such as investment scale, sharing quantity, marginal cost, and income on the evolution results. The simulation results show that (1) the spillover effect of value co‐creation between operators and private pile owners is the fundamental reason affecting the strategic choice of both sides. The initial willingness of both sides to cooperate will affect the evolution path of value co‐creation, and the evolution speed of operators is the fastest; (2) under certain conditions, there is an optimal investment scale for both shared charging platform and the private pile, but the increase of marginal cost of both sides will lead to the dilemma of value co‐creation, and the marginal cost of operation platform has a greater impact on value co‐creation than the private pile; and (3) there is an optimal bearing quantity in the number of shared private piles, and the ratio of marginal cost to income is the key factor affecting value co‐creation.
Identifying and Monitoring Students’ Classroom Learning Behavior Based on Multisource Information
Authors: Yin Albert Chuck Chung , Sun Yuqi , Li Guang , Peng Jun , Ran Feng , Wang Zheng , Zhou Jie
Published: August 2022

Understanding human activity and behavior, particularly real-time understanding in video feeds, is one of the most active areas of research in Computer Vision (CV) and Artificial Intelligence (AI) nowadays. To advance the topic of integrating learning engagement research with university teaching practice, accurate and efficient assessment, and analysis of students’ classroom learning behavior engagement is very important. The recently proposed classroom behavior recognition algorithms have some limitations, such as the inability to quickly and accurately identify students’ classroom behaviors because they do not consider the motion information of students between consecutive frames. In recent years, action recognition algorithms based on Convolutional Neural Networks (CNN) have improved significantly. To address the limitations of existing algorithms, in this study, a 3D-CNN is selected as a network model for classroom student behavior recognition, which increases information multisourcing and classroom student localization with high accuracy and robustness. For better analysis of human behavior in videos, the 3D convolution extends the 2D convolution to the spatial–temporal domain. In the proposed system, first of all, a real-time picture stream of each student is obtained by combining real-time target detection and tracking. Then, a deep spatiotemporal residual CNN is used to learn the spatiotemporal features of each student’s behavior, so, as to achieve real-time recognition of classroom behaviors for multistudent targets in classroom teaching scenarios. To verify the effectiveness of the proposed model, different experiments are conducted using the labeled classroom behavior dataset. The experimental results demonstrate that the proposed model exhibits better performance in classroom behavior recognition. The accurate recognition of classroom behaviors can assist the teachers and students to understand the classroom learning situation and help to promote the development of smart classroom.
The Evaluation Model of Students’ Network Ideological and Political Education in the Internet Era
Authors: Xu Zhongli , Jia Lixiao
Published: August 2022

In the network environment, two-course educators must enhance the awareness of the times, take the initiative to occupy the network position, and carry out two-course education for college students in the new position. At present, the educational needs of colleges and universities are integrated with information technology. In order to promote the establishment of the “Two Courses” education and teaching evaluation system in colleges and universities, this paper adopts some college evaluation theories to analyze the ideological education evaluation in colleges and universities. It constructs a model to promote the development of teaching evaluation in colleges and universities. At the same time, the evaluation of college teaching under the background of Internet is analyzed by neural algorithm. Through the optimization of the existing evaluation system, the optimization of the corresponding work is completed. This article has carried on the simulation verification; through the time characteristic analysis of the verification system, it provides the reference value for the establishment of the evaluation system of two-course education.