bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical and Basic Evaluation of the Effects of Upregulated TNFAIP3 Expression on Colorectal Cancer
Authors: Li Jinhe , Ren Shuang , Zhang Yuhua , Wu Bingbing , He Meng , Shan Zhen , Liu Yang , Wang Yuejing
Published: August 2022

Objective. To assess the TNFAIP3 and nuclear factor κB (NFκB) protein expressions in colorectal cancer (CRC) tissue and to analyze the association of these proteins with the clinical pathological characteristics of CRC. Methods. The following methods should be used in clinical trials: information collection and immunohistochemical methods. The following methods are used for cell experiment: cell transfection, CCK8 detection method, transwell experiment, and western blot experiment. Explore the TNFAIP3 expression in CRC cells, and assess the effect of upregulated TNFAIP3 expression on CRC cell proliferation, invasion, and migration. In clinical experiment, we selected the tumor tissues of 39 CRC patients as our experimental samples. We also collected corresponding patient demographics, such as sex, age, cell differentiation, tumor type, and lymph node metastasis. We also analyzed the TNFAIP3 and NFκB protein expressions in 20 experimental and 20 control samples and evaluated potential correlations between these two proteins and clinical pathological characteristics of CRC. For basic experiment, we established CRC cell lines with elevated TNFAIP3 expression and then randomly divided the cells into three groups, namely, TNFAIP3, NS, and Con groups. Using the transwell and CCK8 methods, we detected the CRC migration abilities and cell proliferation, respectively. We also employed western blot analysis to assess protein expression in the three groups. Results. NFκB was highly expressed, and TNFAIP3 was scarcely expressed in the experimental group versus control. The expression of both these proteins were strongly related to the degree of tumor differentiation (

P
<
0.05

). The TNFAIP3 and NFκB protein expressions were significantly associated with lymph node metastasis and tumor differentiation (

P
<
0.05

). For basic experiment, compared to the Con and NS groups, TNFAIP3 protein expression levels, cell proliferation, invasion, and migration were significantly increased in the TNFAIP3 group (

P
<
0.05

). Conclusion. TNFAIP3 overexpression strongly inhibited CRC proliferation, invasion, and migration. Enhanced NFκB protein expression in CRC tissues was associated with elevated malignant degree, metastasis, and TNFAIP3 protein expression in patients who demonstrated high malignant degree and metastasis. Our evidences suggest the promising potential of utilizing TNFAIP3 and NFκB as important reference indices for determining the prognostic outcome of CRC. Furthermore, we revealed that TNFAIP3 overexpression inhibited CRC cell proliferation, invasion, and migration.
Electrical Automation Equipment Management System Based on PLC Frequency Conversion Technology
Authors: Zhao Ziyuan , Xian Richang
Published: August 2022

Electrical automation technology is a technology that uses computer technology, information technology, and control principles to control and optimize the production process, so as to improve production efficiency. However, there are still some deficiencies in the research on the energy-saving effect of electrical automation technology. Based on the PLC frequency conversion technology, we have carried out experimental research on the pumping unit frequency conversion electrical automation energy-saving system. This paper first analyzes the necessity of constructing a new electrical automation experimental platform and then briefly describes the variable frequency control technology based on PLC controller and the working principle of variable frequency speed regulation. It illustrates the feasibility of variable frequency speed regulation to save energy and conducts mathematical modeling analysis on the electrical automatic pumping unit. In this paper, the fuzzy PID algorithm is selected to control the motor by frequency conversion and speed regulation, and the motor model is optimized, so that the motor angular frequency parameter can achieve the best effect. At the end of this paper, the experimental analysis of the frequency conversion electrical automation energy-saving system of the pumping unit is carried out. The experimental results of this paper show that the established model meets the requirements, and the measurement results show that the frequency of the motor load changes. Coupled with fuzzy PID adjustment, it gradually stabilizes the frequency, and the measurement error is within 3%. It meets the preexperiment requirements. When fuzzy PID control is added in the experiment, the motor speed fluctuation is small, and the error value is small. The results show that the frequency conversion technology based on PLC is an effective technology for the energy saving of the frequency conversion electrical automation of the pumping unit.
Immersive Display Design Based on Deep Learning Intelligent VR Technology
Authors: Xu Jing
Published: August 2022

Introducing deep learning into smart VR devices can make them iteratively upgraded and allow users to have a better immersive design experience. This study analyzes and processes the data of visual interaction screens based on image difference prediction computation established by deep learning to build an image prediction model. After the definition of VR technology is clarified, the first VR devices and the mainstream devices today are introduced. After adding the extensions to image difference and difference prediction, the final image prediction computation model for the immersive display design screen is established. This experiment uses the image difference prediction model to perform the removal of redundant pixels from multiple screenshots of the display device, and multiple determinations of the color display, and based on the data of the acquisition points on the initial color, which eventually leads to a quality level improvement of the display screen effect. More polygonal modeling was added to make the display of clothes and props more realistic. The specular reflections are also no longer mirror mapped but are the result of real-time algorithm production images. The final results of the questionnaire distributed showed that 83% of the users were very satisfied with the immersive display screen effect.
3D Simulation Landscape Design Based on Image Sensor
Authors: Lu Yao , Chen Bingyan , Xing Yan , Seok Yang Geon
Published: August 2022

In order to solve the problem of heavy workload of landscape plant modeling, the lack of efficient auxiliary or automatic methods for establishing three-dimensional models for various landscape plants, and the general three-dimensional models of landscape plants which cannot reflect the natural growth of plants and the interaction between the environment, this paper proposes a method of three-dimensional simulation of landscape design based on image sensors. This method includes the construction of three-dimensional image simulation landscape feature analysis function and rationality judgment model, so as to provide theoretical support for landscape design. The experimental results show that the matching number and matching rate of landscape feature points obtained by the traditional deep evaluation method are lower than those obtained by the 3D image simulation method used in this paper, and the steps of image feature points matching are relatively simple. With the gradual expansion of the scope, the accuracy of the three-dimensional image simulation judgment method used in this paper is gradually improved, up to 89%, while the traditional method is always maintained at about 40%. Conclusion. The 3D simulation landscape design method based on image sensor has higher accuracy and wider application prospect.
[Retracted] A Brief Data on Water Demand Assessment for Sustainable Potable Water Supply in Yergalem Tula Kebele, Ethiopia
Authors: Vijayan D. S. , Tadesse Henok Tsegaye , Yokamo Yohanan , Divahar R. , Bezabih Bashe Thomas , Jebasingh Daniel J.
Published: August 2022

In spite of Ethiopia’s abundant water resources, such as rainwater, groundwater, river, and lake, there has been an increase in the demand for potable water during the past decade. Since 1990, Ethiopia has only achieved 57 percent of the Millennium Development Goal target for access to safe drinking water. Inadequate access to clean potable water and sewerage services and lack of good hygiene practices have a negative impact on health and nutrition, such as diarrheal disease which is one of the leading causes of mortality among children under the age of five in Ethiopia. The objective of the present study is to assess the water demand in Yergalem Tula Kebele, which will be used in the sustainable potable water supply design for the city. The water demand analysis is based on a geometric method of population forecasting with an annual growth rate of 3%. The total water demand (domestic and nondomestic water demands) projection has also been made and the per capita water demand of 25 liters for a distance of 0.5 km from the water distribution point for rural piped water supply system is adopted, as per GTP‐II minimum service level. The mode and level of services considered for community water supplies include public fountains and institutions (i.e., schools and health centers/posts) with stand water points.
Algorithm for Evaluating the Intervention Effect of Physical Exercise on Stress Groups
Authors: Yang Bo , Ding Zhizhong
Published: August 2022

Mental health is always a concern, especially for students, as they are more prone to stress based on educational burden and competition. Among student groups at different levels, college students are of serious concern as they are an essential pillar of social and economic development, and their mental health has been the society’s focus in recent years. With the increasing population leading to the increasing number of college students in our country, the competition for professional learning is also becoming fiercer, seriously affecting students’ mental health. Little attention has been paid to adverse effects on mental health or effective mitigation strategies to improve mental health in recent years. However, it is still of grave concern as the stress among students leads to depression, several diseases, and ultimately death. The purpose of this study is to evaluate the effect of physical exercise interventions on stress groups irrespective of their (educational) levels. Physical activity can effectively release stress and is an excellent way to regulate emotions. For this reason, it is a task that the current universities must complete to strengthen physical exercise in students’ mental health education. The paper highlights the impact of various social pressures on students’ mental health, understands its underlying mechanisms, and explores feasible mitigation strategies for improving and schooling students’ mental health. This paper proposes an integrated evaluation-based algorithm to explore the model of the intervention effect of physical exercise on college students. It takes college students as the representative of stress groups. The results show that daily physical activities can effectively relieve the stress of college students.
Nutritional Management Mode of Early Cardiac Rehabilitation in Patients with Stanford Type A Aortic Dissection
Authors: Liu Lu , Yang Yongjian
Published: August 2022

Malnutrition and metabolic disorders are common problems faced by patients with Stanford type A aortic dissection after surgery. Some patients have dietary problems such as malnutrition, unbalanced diet, and poor eating habits before surgery. Therefore, the nutritional management of early heart health can improve the nutritional support for perioperative recovery, to improve the pertinence. Therefore, active nutritional support after surgery will help to change malnutrition and metabolism and is of great significance to postoperative recovery and quality of life. This paper is aimed at studying the nutritional management mode of early cardiac rehabilitation in patients with Stanford type A aortic dissection. Based on the analysis of the pathogenesis of aortic dissection and the diagnosis of aortic dissection, two groups of patients were given individualized nutritional management scheme and routine nutritional scheme, respectively, and the nutritional risk differences between the two groups under different schemes were compared. The results showed that there was a statistical difference between the two groups at discharge. The NRS-2002 score of 14 cases in the observation group was less than 3 after nutritional intervention, indicating that there was no nutritional risk at discharge.
The Application Effect of Jiawei Sanyu Shengjing Decoction Combined with High Ligation of the Spermatic Vein in Varicocele Male Infertility Patients
Authors: Lu Xiangpeng , Han Hao , Zhang Zhi Biao , Chen Hao , Huang Xingru , Zhang Rui
Published: August 2022

Objective. To analyze the application effect of Jiawei Sanyu Shengjing decoction combined with high ligation of the internal spermatic vein in male infertility patients with varicocele (VC). Methods. 106 male infertility patients with VC treated in our hospital from December 2018 to March 2019 were selected as examples. According to the length of stay, they were divided into the control group and observation group, with 53 cases in each group. High ligation of the internal spermatic vein was performed in both groups. On this basis, the observation group was treated with modified Sanyu Shengjing decoction, and the therapeutic effects of the two groups were compared. Results. The effective rate of 94.34% in the observation group was higher than 79.25% in the control group (

P
<
0.05

). After treatment, the serum index level and sperm deformity rate in the observation group were lower than those in the control group, and the semen density and sperm activity were higher than those in the control group (

P
<
0.05

). Conclusion. The treatment of VC male infertility with modified Sanyu Shengjing decoction combined with high ligation of the internal spermatic vein can effectively improve the number of sperm and reduce the density of semen.
Intelligent Reflecting Surfaces with Adaptive Transmit Power for Underlay Cognitive Radio Networks
Authors: Alhamad Raed , Boujemaa Hatem
Published: August 2022

In this article, we study the performance of intelligent reflecting surfaces (IRS) with adaptive transmit power (ATP). The power of secondary source is adapted to have a low interference at primary destination. IRS with ATP offers 14, 20, 26, 32, and 38 dB gains versus the absence of IRS for

N
=
8,16,32,64
,
and
 
128

reflectors. Rayleigh channels are studied with arbitrary positions of primary and secondary nodes.
Gender Discrepancy in Patients with Traumatic Brain Injury: A Retrospective Study from a Level 1 Trauma Center
Authors: El-Menyar Ayman , Mekkodathil Ahammed , Verma Vishwajit , Wahlen Bianca M. , Peralta Ruben , Taha Ibrahim , Hakim Suhail , Al-Thani Hassan
Published: August 2022

Objectives. The objective of this study is to explore the gender discrepancy in patients with traumatic brain injury (TBI). Methods. A retrospective analysis of Qatar Trauma Registry (QTR) was conducted among patients (age ≥14y) who were hospitalized with TBI. Data were collected and analyzed based on the gender and age. Results. Over 5 years (2014‐2019), 9, 309 trauma patients (90% males and 10% females) were admitted to the trauma center. Of these, 1, 620 (17.4%) patients were hospitalized with TBI (94% males and 6% females). Motor vehicle crash was the main mechanism of injury (MOI) in females, and fall from height was predominant among males. Subdural hematoma (SDH) was the more frequent type of TBI in both genders, but it was more prevalent in male patients ≥55 years. Injury severity score, Glasgow coma scale, and head abbreviated injury score were comparable between males and females. The length of stay in the ICU and hospital and mortality were similar in both genders. However, mortality was higher among males ≥55 years when compared to 14‐54 years within the same gender (21% vs. 12%, p = 0.002). The crude and adjusted odds ratio did not show that gender is a significant predictor of mortality among TBI patients. Conclusions. Although the incidence and MOI of TBI show significant differences between male and female patients, the severity and outcomes are comparable.
Relationship between Knowledge and Attitude toward Oral Function in Middle-Aged and Older Adults
Authors: Nakata Haruka , Masaki Yuichi , Watanabe Yuri , Ohkubo Mai , Sugiyama Tetsuya , Kobayashi Kenichiro
Published: August 2022

Oral hypofunction is the stage at which recovery can be expected with proper diagnosis, management, and motivation before oral dysfunction occurs. The knowledge and attitude toward oral function can influence the maintenance and improvement of oral function. However, whether middle-aged and older adults with declining oral function have knowledge of their oral function and how this knowledge and their attitude affect their oral function are unclear. Therefore, we aimed to examine (1) the relationship between knowledge and attitude toward oral function and hypofunction in individuals with suspected oral hypofunction and (2) changes in knowledge and attitude toward oral function through evaluation and education. Participants aged ≥50 years were enrolled during their first community dental clinic visit. A questionnaire assessment of knowledge and attitudes before and after oral function evaluation was performed. The oral function was initially assessed with seven criteria: oral hygiene; oral dryness; occlusal force; tongue pressure; tongue-lip motor, masticatory, and swallowing function. Associations between knowledge and attitudes and their changes were statistically analyzed. Fifty-nine participants (93.7%) were unaware of “oral hypofunction.” Associations between knowledge and attitudes and their changes in the negative to positive response groups, from 86.4% and 61.0% to 6.8% and 25.4%, respectively, after oral function evaluation, indicated that participants understood their oral function and the need for training. Middle-aged and older individuals with poor knowledge and attitudes were more likely to have a worse oral function; however, their knowledge and attitudes toward oral function could be improved through oral function assessment and education.
[Retracted] Luteolin Inhibited the Self‐Renewal and Altered the Polarization of Primary Alveolar Macrophages
Authors: Geng Aiai , Chen Shanze , Ren Laibin , Zhao Xueyi , Pei Tianli , Jia Bo , Gong Daoyin
Published: August 2022

Pure plant extract luteolin has been demonstrated to possess numerous biological and immunological effects. However, how luteolin affects mice alveolar macrophages’ self‐renewal and polarization closely related to inflammatory and immunomodulatory is still unknown. In our study, the transcriptomic analysis showed that several self‐renewal‐related pathways in luteolin‐pretreated alveolar macrophages were inhibited compared to the granulocyte‐macrophage colony‐stimulating factor (GM‐CSF)‐treated group. Ki‐67 staining and EdU assay indicated that luteolin inhibited GM‐CSF‐induced alveolar macrophage proliferation. Moreover, GM‐CSF‐induced expressions of c‐Myc and KLF4 were significantly suppressed by luteolin at transcriptional and protein levels. Besides, we found that luteolin promoted M1 macrophage polarization induced by LPS plus IFN‐γ. At the same time, it inhibited M2 macrophage polarization induced by IL‐4 in both alveolar and bone marrow‐derived macrophages by detecting macrophage polarization‐related gene expressions at mRNA and protein levels. We found that luteolin inhibited self‐renewal and altered the polarization of primary alveolar macrophages. Taken together, our data will aid in a better understanding of the immunomodulatory effects of luteolin on the primary alveolar macrophages.
Analysis of the Construction of Big Data Platform in Scenic Spots to Increase the Number of Tourists: Taking Sports Group Performance as an Example
Authors: Yu Lin , Hua Li , Ding Jiaran
Published: August 2022

The construction of a big data platform is the basis for improving the service level of scenic spots, and it is also a new media way to increase the number of tourists. At present, the scenic spot platform lacks effective evaluation methods and cannot analyze massive data, resulting in an insufficient increase in the number of tourists. Therefore, this paper analyzes the construction of the big data platform from the perspective of sports group performance, aiming at promoting the increase in the number of tourists in scenic spots. Firstly, the continuous clustering sampling method is used to make statistics on the massive tourist data in the platform. Secondly, the equidistant sampling coefficient is added to the sample data to ensure the validity of tourist data.
Optimization of Local Prediction Algorithm of Financial Time Series Based on Fuzzy Neural Network
Authors: Gong Yuanyuan , Ai Hongzhi , Gao Zhi , Wang Mancang
Published: August 2022

A difficult area of study is financial time series forecasting. The development of time series and FNN are introduced in this paper, which also conducts a thorough study of local financial time series prediction. The next step is to propose and build a local forecasting model based on FNN for financial time series. The pseudo-inverse of the matrix is updated using ridge regression in this study in order to update the network parameters. This paper provides the corresponding incremental algorithm to update the network parameters as training input data or fuzzy rules increase, avoiding the need for parameter retraining. This paper employs MATLAB for simulation and comparative analysis in order to validate the viability and reliability of this approach. 96.31 percent is the predicted accuracy according to simulation results, which is 9.84 percent better than the predicted accuracy of the conventional NN algorithm. In terms of predicting financial time series, the model put forth in this paper performs better. The performance of the financial time series prediction model is further enhanced, making up for the shortcomings of the earlier research. Additionally, it contributes to related research in the area of financial time series prediction.
The Implementation Measures of Environmental Accounting in Heavy Pollution Industry in the Context of Sustainable Development
Authors: Cui Chun , Chen Dong
Published: August 2022

Since the 21st century, China’s science and technology and economy have been developing rapidly, but many enterprises are pursuing their economic interests at the expense of the environment. Therefore, research on the implementation of environmental accounting is not only of academic value but also of a practical significance to the implementation of the scientific concept of development and ecological environment. In this paper, we used literature analysis, case study, and fuzzy comprehensive evaluation to analyze the implementation of environmental accounting of “A” joint-stock company as an example and concluded that the problems of environmental information implementation in China are caused by imperfection of national macropolicies and laws and regulations, lack of concrete measures, and low management level, and lack of management concept of enterprises. Therefore, under China’s current policy, further improving the implementation of the internal environmental accounting of enterprises is of constructive significance to promoting ecological civilization and sustainable development.
Epstein–Barr Virus (EBV) and Multiple Sclerosis Disease: A Biomedical Diagnosis
Authors: Alanazi Asma
Published: August 2022

Multiple sclerosis (MS) is a degenerative disease that affects 2.8 million people worldwide. It is a central nervous system disease (CNS), in which the myelin sheath covering the brain and spinal cord neurons is attacked. If the myelin sheath is damaged, a person can suffer permanent damage to the nerves. There are a number of factors that can increase a person’s risk of developing MS, such as obesity, smoking, vitamin D deficiency, certain tissue types (HLADRB1

∗

15 : 01) and infection with the Epstein–Barr virus (EBV). The latter virus can cause infectious mononucleosis, which can, in turn, result in lifelong infection in the host. To establish the relationship between MS and EBV, the author conducted a study on 1176 MS patients admitted to Saudi Arabia King Abdulaziz City centers. The researcher determined that MS occurred twice as much in females as it did in males, and also that EBV was much more widespread in MS female patients than MS male patients (27 : 1). Age was not a factor in the occurrence of EBV. There were limitations on data completeness and availability. Other trials using larger cohorts of patients are needed.
On the Design of Secured and Reliable Dynamic Access Control Scheme of Patient E-Healthcare Records in Cloud Environment
Authors: Zala Kirtirajsinh , Thakkar Hiren Kumar , Jadeja Rajendrasinh , Dholakia Neel H. , Kotecha Ketan , Jain Deepak Kumar , Shukla Madhu
Published: August 2022

Traditional healthcare services have changed into modern ones in which doctors can diagnose patients from a distance. All stakeholders, including patients, ward boy, life insurance agents, physicians, and others, have easy access to patients’ medical records due to cloud computing. The cloud’s services are very cost-effective and scalable, and provide various mobile access options for a patient’s electronic health records (EHRs). EHR privacy and security are critical concerns despite the many benefits of the cloud. Patient health information is extremely sensitive and important, and sending it over an unencrypted wireless media raises a number of security hazards. This study suggests an innovative and secure access system for cloud-based electronic healthcare services storing patient health records in a third-party cloud service provider. The research considers the remote healthcare requirements for maintaining patient information integrity, confidentiality, and security. There will be fewer attacks on e-healthcare records now that stakeholders will have a safe interface and data on the cloud will not be accessible to them. End-to-end encryption is ensured by using multiple keys generated by the key conclusion function (KCF), and access to cloud services is granted based on a person’s identity and the relationship between the parties involved, which protects their personal information that is the methodology used in the proposed scheme. The proposed scheme is best suited for cloud-based e-healthcare services because of its simplicity and robustness. Using different Amazon EC2 hosting options, we examine how well our cloud-based web application service works when the number of requests linearly increases. The performance of our web application service that runs in the cloud is based on how many requests it can handle per second while keeping its response time constant. The proposed secure access scheme for cloud-based web applications was compared to the Ethereum blockchain platform, which uses internet of things (IoT) devices in terms of execution time, throughput, and latency.
Effectiveness and Safety of Electroacupuncture for Depression: A Systematic Review and Meta-Analysis
Authors: Zhou Zhuo , Xu Guixing , Huang Liuyang , Tian Hao , Huang Fengyuan , Liu Yilin , Sun Mingsheng , Liang Fanrong
Published: August 2022

Purpose. The purpose of this systematic review and meta-analysis was to comprehensively evaluate the efficacy and safety of electroacupuncture as an effective adjunctive therapy for patients with depression. Methods. Randomized controlled trials (RCTs) about the treatment of depression by electroacupuncture therapy from inception to September 2021 were searched and collected in eight databases. HAMD, SDS, and Adverse Reactions were used as outcome indicators. The quality of relevant articles was evaluated using the Cochrane Collaboration’s risk of bias tool. The quality of evidence for each outcome was assessed through the Grading of Recommendations Assessment and the Development and Evaluation approach. Stata 15.0 software was used for data analysis. Results. A total of 16 depression-related RCTs were included in this meta-analysis. For the main outcome, electroacupuncture significantly reduced HAMD scores (I2:0.0%, SMD: −2.28% (95% CI−3.16 to −1.39)), and the quality of evidence was moderate. The improvement effect of electroacupuncture plus antidepressants was better than that of western drugs in patients with depression (I2:26.2%, SMD: −1.18% (95% CI−1.42 to −0.94)), and the quality of evidence was moderate. Electroacupuncture significantly reduced HAMD scores without significant heterogeneity (I2:0.0%, SMD: −3.76% (95%CI−5.78−1.73)). Studies with very low quality of evidence found that electroacupuncture was as effective as antidepressants in reducing SDS scores (I2:36.4%, WMD: −1.15% (95%CI−2.93–0.63)), and electroacupuncture was found to be more effective than sham electroacupuncture stimulation as well. Moderate quality evidence showed no statistical difference between electroacupuncture plus antidepressants/electroacupuncture and antidepressants (I2:0%, RR:1.05% (95%CI 0.73 to 1.53)). Conclusions. Our meta-analysis shows that electroacupuncture reduces HAMD scores. It is suggested to use electroacupuncture plus antidepressants to improve the curative effect and effectively reduce drug side effects.
[Retracted] Development of Machine Learning‐Based Ideas for Teaching Physical Education and Health
Authors: Yin Weiyu , Li Sheng , Han Cuiyi
Published: August 2022

With various social pressures and the lack of knowledge about physical health, students have poor physical education quality and insufficient knowledge acquisition about physical health. Traditional physical health teaching is a process in which the teacher tells the theory of physical health and students passively accept it, which leads to physical health problems such as low learning efficiency of students’ physical health knowledge and low interest in learning physical health knowledge. With the emphasis on physical health teaching and the development of technologies such as machine learning, machine learning is used to analyze the problems of physical health teaching and help students to learn physical health better to improve the efficiency of physical health teaching. The results of this paper show that the machine learning‐based physical education and traditional physical education can reduce the injury rate of students’ sports by 7.7% compared with traditional physical education, make students’ interest in physical education and health learning reach 53.3%, and improve the efficiency of physical education and health learning. There is a degree of students’ acquisition of physical health knowledge. The change from traditional physical health teaching ideology to machine learning‐based physical education ideology can improve the teaching efficiency of physical health teaching, allow students to acquire more physical health knowledge, and effectively reduce the risk of students’ injuries in sports.
An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network
Authors: Xing Tianye , Wang Yidan , Liu Yingxue , Wu Qi , Ma Rong , Shang Xiaoling
Published: August 2022

An intelligent health detection model is a new technology developed under an artificial intelligence environment, which is of great significance to the care of the elderly and other people who cannot take care of themselves. This paper comprehensively reviews the structural health monitoring method based on an intelligent algorithm, introduces the application model of neural networks in structural health monitoring in detail, and points out the shortcomings of using neural network technology alone. On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research. Aimed at the shortcoming of insufficient samples for training neural networks based on experimental data, this paper proposes to use the finite element method to construct a genetic fuzzy RBF neural network after corresponding processing of the first six-order bending modal frequencies of the structure, so as to realize the localization and detection of delamination damage of composite beams. Injury Assessment. The experimental results of this paper show that the finite element method proposed in this paper can effectively carry out damage localization and damage assessment; compared with the traditional algorithm, the localization accuracy of this algorithm is improved by 20%, and the damage assessment performance is improved by 10%.
CORM-3 Attenuates Oxidative Stress-Induced Bone Loss via the Nrf2/HO-1 Pathway
Authors: Jin Chen , Lin Bing-hao , Zheng Gang , Tan Kai , Liu Guang-yao , Yao Zhe , Xie Jun , Chen Wei-kai , Chen Liang , Xu Tian-hao , Huang Cheng-bin , Wu Zong-yi , Yang Lei
Published: August 2022

Bone metabolism occurs in the entire life of an individual and is required for maintaining skeletal homeostasis. The imbalance between osteogenesis and osteoclastogenesis eventually leads to osteoporosis. Oxidative stress is considered a major cause of bone homeostasis disorder, and relieving excessive oxidative stress in bone mesenchymal stem cells (BMSCs) is a potential treatment strategy for osteoporosis. Carbon monoxide releasing molecule-3 (CORM-3), the classical donor of carbon monoxide (CO), possesses antioxidation, antiapoptosis, and anti-inflammatory properties. In our study, we found that CORM-3 could reduce reactive oxygen species (ROS) accumulation and prevent mitochondrial dysfunction thereby restoring the osteogenic potential of the BMSCs disrupted by hydrogen peroxide (H2O2) exposure. The action of CORM-3 was preliminarily considered the consequence of Nrf2/HO-1 axis activation. In addition, CORM-3 inhibited osteoclast formation in mouse primary bone marrow monocytes (BMMs) by inhibiting H2O2-induced polarization of M1 macrophages and endowing macrophages with M2 polarizating ability. Rat models further demonstrated that CORM-3 treatment could restore bone mass and enhance the expression of Nrf2 and osteogenic markers in the distal femurs. In summary, CORM-3 is a potential therapeutic agent for the treatment of osteoporosis.
Influence Evaluation Model of Microblog User Based on Gaussian Bayesian Derivative Classifier
Authors: Zhou Chunliang , Zhang Weipeng , Lu Zhengqiu , Meng Xiangpei , Tan Cheng , Xu Ying
Published: August 2022

In order to depict the influence of Weibo user, an evaluation model is proposed with Gaussian Bayesian derivatives. At first, the influence indexes of Weibo user is presented in this model with activity degree, relation degree, and coverage degree. Combining the relationship characteristics between users and behavioral characteristics of user, the solved method for this model is given by Gaussian Bayesian derivatives. At last, a simulation is conducted to study the influence factor with experiment data of Sina Weibo users. The results show that, compared to other algorithm, this method has good adaptability.
Identification of Sports Athletes Psychological Stress Based on K-Means Optimized Hierarchical Clustering
Authors: Huang Jun
Published: August 2022

In order to solve the problem, the psychological identification of athletes in professional competition pressure is difficult. This paper first analyzes the sources of athletes’ psychological pressure based on the hierarchical clustering method, and then divides the weights of the sources of psychological pressure, quantificationally scores them and constructs an identification model of athletes’ psychological pressure. Then, the clustering process is optimized based on the K-Means algorithm, and its effectiveness is verified. Finally, the psychological stress of 10 players in a football club was analyzed. The results show that the model effectively and reasonably reflects the influence of pressure sources on the athletes’ competitive state during the competition, which provides a basis for the decision-making of relief about athletes’ stress.
Class Image Processing Application of XSS Intrusion Intelligent Detection for Big Data in Campus Network Construction
Authors: Zhang Zhe
Published: August 2022

In order to improve the effect of XSS intrusion intelligent detection, this paper proposes an application of big data-oriented XSS intrusion intelligent detection based on class image processing in the construction of university campus network. In this application, image like processing method is used for data acquisition, data cleaning, data sampling, feature extraction, and other data preprocessing; design a word vector quantization algorithm based on neural network to realize word vector quantization and get word vector big data; through theoretical analysis and derivation, a variety of deep neural network intelligent detection algorithms with different depths are realized; through experiments, it is found that the average recognition rate of each deep DNN for the class I big data set is about 99.44%, the variance is about 0.000002, and the standard deviation is about 0.001589; the average recognition rate of class II big data set is about 99.77%, the variance is about 0.000006, and the standard deviation is about 0.002427. The experimental results show that this method has the characteristics of high recognition rate, good stability, and excellent overall performance.
The Causes Affecting the Parenting Stress of the Post-80s Generation in China with Working Mothers of Infants and Young Children as the Target
Authors: Liu Mingxiao , Suh Joohyun
Published: August 2022

At present, people’s life pressure is increasing. In order to help alleviate the pressure of professional mothers’ upbringing, in this study, the treatment program for working mothers or parental education program was analyzed. A questionnaire survey was conducted among 278 mothers of male and female infants aged 0–5 in three kindergartens in Liaocheng City, Shandong Province. SPSS 23.0 software was used for frequency analysis, correlation analysis, and regression analysis. This study aims to improve the mood and self-esteem of working mothers with young children, and briefly introduce the policy of providing important support in addition to relatives. The results show that: first, the age of children is the cause of mother’s parenting pressure. The younger the children are, the greater the parenting pressure is; second, the higher the mother’s sense of parenting efficacy, the lower the parenting pressure; third, the higher the mother’s self-esteem, the lower the parenting pressure; fourth, the social support that working mothers receive may reduce their childcare pressure. Reducing the parental rearing pressure of working mothers with low self-esteem can help actively promote the positive development of their children. This article provides some reference for the relief of the pressure of professional mothers’ parenting.
Data-Driven Winter Landscape Design and Pleasant Factor Analysis of Elderly Friendly Parks in Severe Cold Cities in Northeast China under the Background of Artificial Intelligence
Authors: Shan Pengyu , Sun Wan
Published: August 2022

Urban parks not only combine the greening of the city with the natural landscape but also are places for people’s daily fitness, leisure, entertainment, and activities to meet their psychological needs. At present, the design of our country’s northeast severe cold city park is not perfect, which cannot fully highlight the regional characteristics and show the local winter natural landscape. Under the background of the lagging development of the northeast severe cold city park, we use artificial intelligence technology and data-driven algorithm to design a new northeast severe cold city elderly friendly park. The experimental results are as follows: (1) we analyze the development trend of population aging in our country. As the main demanders of urban parks, the elderly determined the research direction of the experiment, investigated the needs of different people for the park, and designed the function of the park according to the needs of the park. (2) On the basis of retaining the traditional garden design, show artificial intelligence technology in the design of urban parks and transforming the urban park design with intelligent construction can not only let tourists have better entertainment and exercise but also enable residents to better invest in the park surroundings. Intelligent park design can not only show the unique park landscape but also relieve the pressure of tourists.
A Novel Design of Hybrid Precoder in Multicell, Multiuser Heterogeneous Network
Authors: Pouryeganeh Mohammad Reza , Fard Azim , Tavakoli Mohammad Bagher
Published: August 2022

In this paper, the precoders capable of maximizing the weighted sum rate (WSR) for multicell scenarios under power budget constraint conditions per cell were considered based on the MIMO system performance. This rate is strongly affected by intracellular interference, so we recommend using coordinated beam forming (CBF). If the number of user equipment provided per cell is small enough to the number of transmit antennas, simple linear beamformers, such as matched filter (MF), achieve higher performance rates. In general cases, two algorithms meet the best performance in terms of the total achievable rate; these are KG (Kim Giannakis) and WSMSE (Weighted Sum Minimum Squared Error) algorithms. In the KG method, the objective function of the sum rate is suggested to be divided into two functions, one function for the desired user rate and the other for the sum rate of the remaining users. In the WSMSE algorithm, maximizing the sum rate is solved by redefining it as the problem of minimizing the MSE (Mean Square Error) function. These functions are convex and nonconvex functions, respectively. In the proposed method, the WSMSEs were modified to reduce the complexity and calculations to provide optimal performance in beamforming.
A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
Authors: Yang Wenda , Wu Minggong , Wen Xiangxi , Bi Kexin
Published: August 2022

Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. Firstly, a multiple input multiple output (MIMO) cooperative detection model is constructed. Then, based on the perspective of information theory, the channel capacity of the cooperative detection model is derived and used as the objective function for optimizing the detection resources of UAV swarm. Then, the factors affecting the objective function are sorted out and analyzed one by one, and the constraints are clarified. Aiming at the shortcomings of ABC algorithm, its search strategy and parameter optimization method are improved. A joint optimization process of UAV swarm trajectory and radiated power based on improved ABC algorithm is constructed. Finally, through simulation verification and algorithm comparison, it shows that the algorithm in this paper can improve the perception ability of cooperative detection of UAV swarm.
Evaluation of Malt Barley (Hordeum distichon L.) Varieties for Yield and Agronomic Traits in South Gondar, Ethiopia
Authors: Alemayehu Tiringo Yilak , Momina A.
Published: August 2022

The production and productivity of malt barley are limited using disease-susceptible and low-yielding varieties. Study was focused on identifying and selecting the best performed and adapted malt barley variety/varieties for yield and yield-related traits. We evaluated six improved malt barley varieties using a randomized complete block design with three replications. The study was conducted for 2 years (2019 and 2020 cropping season) at Lay Gayint district. The combined analysis showed highly significant differences (

P
<
0.01

) among varieties, years, and their interactions in all traits. The highest yield (31.54 qt·ha−1) was obtained from variety Holker. The correlation coefficient analysis showed a significant and very strong positive association of grain yield with number of effective tillers (

r
=

0.953

∗
∗

), spike length (

r
=

0.973

∗
∗

), and strong positive association with thousand seed weight (

r
=

0.739

∗
∗

) with a medium positive association with seed per spike (

0.554

∗
∗

). In principal component analysis, PC1 was dominated by traits that had a greater effect on yield. A variety of Holker could be recommended in the study areas and other similar agro-ecologies. Farmers lost a lot of quintals of yield by lack of new technologies, by addressing more adapted improved production technology increased average yield.
Proanthocyanidins Activate Nrf2/ARE Signaling Pathway in Intestinal Epithelial Cells by Inhibiting the Ubiquitinated Degradation of Nrf2
Authors: Shuhua Yang , Lingqi Meng , Yunlong Dang , He Tang , Yao Shi , Peng Li
Published: August 2022

Nrf2 plays a key role in the antioxidant system, and many antioxidants can activate the Nrf2/ARE signaling pathway and alleviate oxidative stress. However, the underlying mechanisms of antioxidants, such as proanthocyanidin‐ (PC‐) induced Nrf2 activation, remain poorly understood. In this study, PC was used on MODE‐K cells at different concentrations (0, 1, 2.5, and 5 μg/mL) and different times (0, 3, 6, 12, and 24 h); then, immunoprecipitation, immunofluorescence, and Western blotting were performed to test Nrf2, Bach1, Keap1, HO‐1, and NQO1 protein expressions in MODE‐K cells. Results showed that PC increased Nrf2, HO‐1, and NQO1 protein expressions, decreased Keap1 and Bach1 protein expressions, and enhanced ARE gene activity. PC also decreased the ubiquitinated degradation of the Nrf2 protein, increased Nrf2 protein stability, and increased Nrf2 protein expression by inhibiting Keap1‐dependent Nrf2 protein degradation, promoted Nrf2 entry into the nucleus, competed with Bach1, and activated ARE elements, which in turn initiated the Nrf2/ARE signaling pathway. Thus, we conclude that PC activates the Nrf2/ARE signaling pathway in intestinal epithelial cells by inhibiting the ubiquitinated degradation of Nrf2, increasing Nrf2 protein stability and expression, and then regulating key antioxidant enzymes such as HO‐1 and NQO1 to initiate cytoprotective effects.
Robot Obstacle Recognition and Target Tracking Based on Binocular Vision
Authors: Sun Wencheng
Published: August 2022

To further improve the perception ability of binocular vision sensor in getting rich environment information and scene depth information, a research method of a robot obstacle recognition and target tracking based on binocular vision was proposed. The method focused on target recognition and obstacle recognition of binocular stereo vision. The system based on obstacles of visual identification was set up. Through the analysis of the Bouguet mathematical model algorithm based on OpenCV, the binocular stereo correction was carried out and the obstacle recognition system was calibrated and corrected. Through the experimental data, it was found that the average error of the obstacle recognition and target tracking algorithm based on binocular vision could be controlled within 50 mm within the range of 2100 mm. The average time of obstacle recognition was 0.096 s and the average time consumption of the whole system was 0.466 s, indicating that the robot obstacle recognition and target tracking system based on binocular vision could meet the accuracy and real-timeness requirements of obstacle recognition and detection.