bluuebunny/crossref_metadata_2025 huggingface dataset:
A Modified Algorithm Based on Haar Wavelets for the Numerical Simulation of Interface Models
Authors: Rana Gule , Asif Muhammad , Haider Nadeem , Bilal Rubi , Ahsan Muhammad , Al-Mdallal Qasem , Jarad Fahd
Published: August 2022

In this paper, a new numerical technique is proposed for the simulations of advection-diffusion-reaction type elliptic and parabolic interface models. The proposed technique comprises of the Haar wavelet collocation method and the finite difference method. In this technique, the spatial derivative is approximated by truncated Haar wavelet series, while for temporal derivative, the finite difference formula is used. The diffusion coefficients, advection coefficients, and reaction coefficients are considered discontinuously across the fixed interface. The newly established numerical technique is applied to both linear and nonlinear benchmark interface models. In the case of linear interface models, Gauss elimination method is used, whereas for nonlinear interface models, the nonlinearity is removed by using the quasi-Newton linearization technique. TheL∞errors are calculated for different number of collocation points. The obtained numerical results are compared with the immersed interface method. The stability and convergence of the method are also discussed. On the whole, the numerical results show more efficiency, better accuracy, and simpler applicability of the newly developed numerical technique compared to the existing methods in literature.
[Retracted] Entrepreneurial Mentality Analysis for College Students Based on the Improved BP Neural Network
Authors: Fan Jinling
Published: August 2022

In this study, the fuzzy comprehensive evaluation model is used to evaluate the characteristics of college students’ entrepreneurial psychology, and a prediction model of college students’ entrepreneurial psychology characteristics is established, which is simulated by Matlab to achieve good validity. Based on the research on the characteristics of college students’ entrepreneurial psychology, this study proposes a design method of indicators and parameters for evaluating the characteristics of college students’ entrepreneurial psychology. In this study, the genetic algorithm is used to optimize the BP neural network. The optimized neural network greatly improves the global search and local search capabilities. The performance of the model is tested through simulation tests. Through the simulation comparison test between the improved model and the standard model, the results show that the model can predict the entrepreneurial psychological characteristics of college students. By comparing the improved BP neural network algorithm with the original algorithm simulation experiment, the improved BP neural network improves the sensitivity by 20%, the specificity by 5%, and the accuracy by 8%.
[Retracted] Focal Microscopy Observe the Mechanism of Gegen Qinlian Decoction Treating Type 2 Diabetic Nephropathy in Nude Mice
Authors: Zheng Fei , Xu Juan , Gu Hao
Published: August 2022

The incidence of diabetes is increasing year by year; among them, the rising trend of T2D is particularly obvious, and because it has many complications and poor prognosis, it has become one of the diseases that seriously endanger human health. Gegen Qinlian Decoction (GQD) has achieved good results in the treatment of type 2 diabetes (T2D). It can not only improve the anti‐insulin effect of nude mice with type 2 diabetic, but also has the characteristics of small side effects and remarkable curative effect; it can improve the function of tissues and organs by multiple target spots and multiple ways. The method was to raise 30 nude mice with high fat and high sugar and inject small doses of streptozotocin (STZ). The treated nude mice were randomly divided into rosiglitazone group, Gegen Qinlian group, and model group, normally rearing 10 nude mice as a control group. The model group and the blank group were treated with 0.9% sodium chloride solution at 10 mL/kg, and the rosiglitazone group was intragastric administration with 3 mg/kg rosiglitazone solution. The GQD group was treated with 18.2 g/kg GQD, once a day, and lasting for 4 weeks. Use blood glucose meter to detect the FBG content in nude mice, use the radioimmunoassay to detect the amount of FINS, and calculate HOMA‐IR. Use immunoenzyme linked assay method to detect the level of serum inflammatory factors. The experimental results showed that compared with the model group, the FBG of the rosiglitazone group mice was significantly decreased; the levels of the rosiglitazone group and the Gegen Qinlian group were significantly lower. Therefore, it is concluded that GQD can treat T2D in nude mice.
Type 2 Diabetes Mellitus (T2DM) and Carbohydrate Metabolism in Relation to T2DM from Endocrinology, Neurophysiology, Molecular Biology, and Biochemistry Perspectives
Authors: Mills Hilla , Acquah Ronald , Tang Nova , Cheung Luke , Klenk Susanne , Glassen Ronald , Pirson Magali , Albert Alain , Hoang Duong Trinh , Van Thang Nguyen
Published: August 2022

Type 2 diabetes mellitus (T2DM) is a severe disease caused by metabolic disorders, particularly carbohydrate metabolism disorders. The disease is a fatal global trouble characterised by high prevalence rates, causing death, blindness, kidney failure, myocardial infarction, amputation of lower limps, and stroke. Biochemical metabolic pathways like glycolysis, gluconeogenesis, glycogenesis, and glycogenolysis are critical pathways that regulate blood glucose levels with the glucokinase (GK) enzyme playing a central role in glucose homeostasis. Any factor that perturbs the aforementioned biochemical pathways is detrimental. Endocrinological, neurophysiological, and molecular biological pathways that are linked to carbohydrate metabolism should be studied, grasped, and manipulated in order to alleviate T2DM global chaos. The challenge, howbeit, is that, since the body is an integration of systems that complement one another, studying one “isolated” system is not very useful. This paper serves to discuss endocrinology, neurophysiology, and molecular biology pathways that are involved in carbohydrate metabolism in relation to T2DM.
[Retracted] Common Pathogens and Drug Resistance of Neonatal Pneumonia with New Multichannel Sensor
Authors: Dong Xueping , Zhou Peipei , Zhu Guannan
Published: August 2022

This study aimed to study the application value of a new multichannel sensor in pathogen detection and drug resistance analysis of neonatal pneumonia. 180 newborns with infectious pneumonia were selected, and a new multichannel piezoelectric sensor was constructed. The traditional Kirby–Bauer (K–B) method and the piezoelectric sensor were adopted to detect the pathogens and drug resistance in newborn samples, respectively. The results showed that the sensitivity and specificity under the K–B method (99.58% and 99.32%) and the multichannel piezoelectric sensor (99.43% and 94.29%) were not statistically different (P> 0.05). The detection time (17.25 h) of the K–B method was significantly longer than that (7.43 h) of the multichannel piezoelectric sensor (P< 0.05). From the results of pathogen detection, it was found thatKlebsiella pneumoniaeaccounted for a relatively high proportion of 25.1%, followed byStaphylococcus aureusandHaemophilus influenzaeof 13.4% and 12.33%, respectively. The resistance rate of theStaphylococcus aureusto vancomycin and rifampicin was as high as 100% and that to gentamicin, ciprofloxacin, and erythromycin reached more than 50%. In short, the new multichannel piezoelectric sensor had the high sensitivity and specificity for the pathogens’ detection of neonatal pneumonia, and it required a shorter time. The pathogens were mostly Gram‐negative bacteria, followed by Gram‐positive bacteria and fungi.Klebsiella pneumoniae,Staphylococcus aureus, andHaemophilus influenzaewere the main ones. The neonatal pneumonia pathogens had also strong drug resistance against vancomycin, rifampicin, chloramphenicol, meropenem, amikacin sulfate, chloramphenicol, and many other antibacterial drugs.
Comprehensive Multiomics Analysis Reveals Potential Diagnostic and Prognostic Biomarkers in Adrenal Cortical Carcinoma
Authors: Li Xiunan , Li Jiayi , Zhao Leizuo , Wang Zicheng , Zhang Peizhi , Xu Yingkun , Wu Guangzhen
Published: August 2022

Adrenal cortical carcinoma (ACC) is a severe malignant tumor with low early diagnosis rates and high mortality. In this study, we used a variety of bioinformatic analyses to find potential prognostic markers and therapeutic targets for ACC. Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data sets were used to perform differential expressed analysis. WebGestalt was used to perform enrichment analysis, while String was used for protein-protein analysis. Our study first detected 28 up-regulation and 462 down-regulation differential expressed genes through the GEO and TCGA databases. Then, GO functional analysis, four pathway analyses (KEGG, REACTOME, PANTHER, and BIOCYC), and protein-protein interaction network were performed to identify these genes by WebGestalt tool and KOBAS website, as well as String database, respectively, and finalize 17 hub genes. After a series of analyses from GEPIA, including gene mutations, differential expression, and prognosis, we excluded one candidate unrelated to the prognosis of ACC and put the remaining genes into pathway analysis again. We screened out CCNB1 and NDC80 genes by three algorithms of Degree, MCC, and MNC. We subsequently performed genomic analysis using the TCGA and cBioPortal databases to better understand these two hub genes. Our data also showed that the CCNB1 and NDC80 genes might become ACC biomarkers for future clinical use.
[Retracted] Clinical Significance and Correlation Decomposition of Cord Blood NO, Activin A Levels, and MCA/UA with Fetal Distress
Authors: Liu Yongli , Yan Jinling , Jiao Ruifen , Li Meixiang , Wei Luohong
Published: August 2022

The clinical significance and correlation of cord blood NO, activin A levels, and middle cerebral artery (MCA)/umbilical artery (UA) with fetal distress are explored. 120 puerperae who delivered in the obstetrics department of our hospital from January 2021 to January 2022 are selected as the examination subjects. According to the diagnostic criteria of fetal distress, they are divided into 70 cases of fetal distress and 50 cases of normal delivery. The parameters of umbilical cord blood NO, activin A, UA, and MCA are contrast between the two sets, then the diagnostic value of umbilical cord blood NO and activin A combined with UA and MCA in fetal distress is analyzed. The experimental results show cord blood NO and activin A combined with UA and MCA have a high diagnostic value for fetal distress, and there is an extensive correlation with the occurrence of fetal distress, which provides a reliable clinical diagnosis of fetal distress in a timely manner.
Prediction of Transmission Line Icing Using Machine Learning Based on GS-XGBoost
Authors: Ma Yi , Pan Hao , Qian Guochao , Zhou Fangrong , Ma Yutang , Wen Gang , Zhao Meng , Li Tianyu
Published: August 2022

In recent years, data have shown that transmission line icing is the main problem affecting the operation of power grids in bad weather; it greatly increases operating costs and affects people’s lives. Therefore, the development of a calculation method to predict the risk of ice on transmission lines is of great importance for the stability of the power grid. In this study, we propose a maximum mutual information coefficient (MIC) and grid search optimization extreme gradient boosting (GS-XGBoost) transmission line ice risk prediction method. First, the MICs between the ice thickness and the precipitation, wind speed, wind direction, relative humidity, slope, aspect, and elevation characteristic factors are calculated to filter out the effective features. Second, a grid search method is used to adjust the hyperparameters of XGBoost. The resulting GS-XGBoost model builds a prediction system based on the best parameters using a training set (70% of the data). Finally, the performance of GS-XGBoost is evaluated using a test set (30% of the data). For multiline, cross-regional icing data, our experimental results show that GS-XGBoost outperforms other machine learning methods in terms of accuracy, precision, recall, and

F
1

score.
Water Quality Substance Detection System Based on Internet of Things
Authors: Zhang Jing
Published: August 2022

According to the sources of pollution in different river regions, the characteristics of rivers and lakes, and on the basis of investigation and analysis of the actual situation of water environment monitoring in different river regions, this paper carries out a research on the optimization of water quality detection and gives the definition of a super network as a super network based on a hypergraph structure. Moreover, according to the simulation results of topological parameters, this paper analyzes the structural characteristics of the super network and combines the Internet of Things technology to construct a water quality material detection system. In addition, this paper evaluates the water quality detection effect of the system proposed in this paper through a control experiment. According to the quality inspection results, it can be seen that the accuracy rate of the water quality material detection system based on the Internet of Things proposed in this paper is more than 92%, which verifies that the system model proposed in this paper has a good effect.
Observation on the Effect of Rehabilitative Physical Training on Ice and Snow Sports Injury under Ultrasound Examination
Authors: Wang Yang , Zhou Yongzhi
Published: August 2022

In order to solve the problem of rehabilitative physical training on ice and snow sports injuries, the author proposed an observation method using ultrasonography to be proposed. This method selects patients with anterior talofibular ligament injury treated in a hospital, forty-nine patients who did not undergo conventional rehabilitation under the surveillance of sports medicine ultrasound were set as the control group, a total of 49 patients with anterior talofibular ligament injury who underwent rehabilitation treatment under the monitoring of sports medicine ultrasound were selected as the experimental group, and the clinical efficacy of the two groups of patients was retrospectively analyzed, in order to discuss the application value of sports medicine ultrasound in the rehabilitation of anterior talofibular ligament injury. The results showed that comparing the rehabilitation effect, ankle function score, and daily living ability of the two groups of patients, the experimental group was better than the control group. Comparing the thickness of ligament and effusion between the two groups, the experimental group was also better than the control group, and the difference was statistically significant (

P
<
0.05

). Ultrasound medical examination can help doctors to effectively judge the degree of injury and recovery of patients, and doctors can adjust the treatment plan in time according to the examination results and formulate an effective rehabilitation plan, which can greatly shorten the recovery time of patients, improve the treatment effect, promote the functional recovery of the ankle joint, and reduce the occurrence of complications.
An Authentication and Key Agreement Scheme Based on Roadside Unit Cache for VANET
Authors: Mei Sun , Yuyan Guo , Juan Zhang , Mingming Jiang
Published: August 2022

Vehicular Ad Hoc Network (VANET) is a wireless Mobile Ad Hoc Network that is used for communication between vehicles, vehicles and fixed access points, and vehicles and pedestrians. However, because of the use of open wireless channels, VANET is more vulnerable. Therefore, VANET security is critical for safe driving and user privacy protection. Authentication and key agreement are crucial for ensuring security. Numerous authentication schemes have been proposed between vehicles and roadside units (RSUs). Many solutions are authentication and key negotiation between the vehicle and a single RSU. The vehicle passing through a region needs to complete authentication and key agreement with multiple RSUs separately, which brings a great burden to the vehicle. In order to simplify the authentication process of vehicles and multiple RSUs and improve the efficiency of authentication and key agreement, an efficient authentication and key agreement scheme based on RSU cache is proposed when the vehicle moves from one RSU to another RSU region. In the proposed scheme, RSUs are divided into regions, and each region has a RSU cluster head. When the vehicle enters a certain region and authenticates with a RSU successfully, the RSU submits the authentication information to the RSU cluster head. The RSU cluster head shares the authentication information with other RSUs in the region using the shared key. Other RSUs record the authentication information in the cache. When the vehicle communicates with other RSUs, the authentication is not necessary; the session key can be negotiated by simply exchanging information. After using the cache, the calculation and communication cost of the authentication and key negotiation between the vehicle and other RSU can be significantly saved, the calculation cost is reduced by 37%, and the traffic is reduced by 35%. The random oracle model is used to prove the security of the scheme. The results revealed that the authentication overhead of the proposed scheme is considerably lower than those of other schemes. Compared with the related schemes, the computational cost of the proposed scheme is reduced by 34% on average; the communication cost is close to other related schemes. Moreover, the security analysis shows that the proposed scheme provides better security compared to other related schemes.
Polarimetric Direction of Arrival Estimations Based on Adaptive Linear Time-Frequency Transforms
Authors: Shuai Shao , Aijun Liu , Xiuhong Wang , Hongjuan Yang
Published: August 2022

A spatially polarized time-frequency distribution (SPTFD) based on dual-polarized double-fed antenna arrays is adapted to deal with polarization-unstable signals. A linear time-frequency (TF) representation was used for an instantaneous frequency (IF) estimate, primarily due to its simplicity and immunity to cross-interference. Using a set of linear TF transformations using Gaussian windows and Fourier oscillation kernels, the IF estimated window widths of multiple unstable signals are obtained. This paper introduces a new method for estimating the direction of arrival (DOA) of polarized waves using adaptive linear time-frequency transforms. In this paper, a narrowband far-field point source on the receiving array is analyzed. The source signal is split into two orthogonally polarized components. The optimal window is determined by the first derivative of the IF; for this purpose, we take a simple algorithm for solving the derivative and optimize it. In developing TF-adaptive and fully automatic TF display technology, the first method is to use the time-adaptive window for minimizing the IF estimate mean square error (MSE) sum at each moment, while the second procedure is to adjust according to time and frequency and minimize estimate MSE sum at each position in the TF region. Due to its combination with signal polarization, the spatial time-frequency distribution (STFD) gains more freedom and thus perfects the phonon space estimation of noise and signal. On the SPTFD platform, polarized time-frequency multiple signal classification (PTF-MUSIC) is used for the estimation of signal direction of arrival, which outperforms conventional time-frequency MUSIC. Using the example of a synthesized signal, this method outperforms conventional techniques in DOA estimation.
Efficacy of High-Quality Nursing Service for the Patients during the Anesthesia Recovery Period: A Meta-Analysis
Authors: Li Hui , Wang Heng , Pan Yan , Huang Qian , Li Xueping , Zeng Xiaoqi , Zhou Li
Published: August 2022

Background. To investigate the efficacy of high-quality nursing service for the patients during the anesthesia recovery period. Methods. We used the National Library of Medicine (PubMed), Cochrane Library of Excerpta Medica Database (EMBASE), China National Knowledge Infrastructure (CNKI), Wanfang, and very important person (VIP) databases for conducting a systematic literature study. We employed the fixed-effects model for evaluating the standardized mean differences (SMDs) with 95% confidence intervals (CIs). The sensitivity and publication bias were estimated for determining the efficacy of high-quality nursing services during the recovery period of anesthesia. Results. In our study, the result showed that the efficiency of recovery time of spontaneous respiration was significantly improved in the experimental group (

SMD
=
−
1.48

,

95
%
CI
=

−
1.62

,

−

1.34

). In this analysis, the extubation time of the experimental group was lower than that of the control group. In control group [

WMD
=
−
15.54

, 95% CI (-21.24, -9.83),

P
<
0.00001

], the improvement of extubation time was more obvious on high-quality nursing. Moreover, the incidence of agitation in the experimental group was lower than that of the control group, and the score of nursing satisfaction was higher than that in the control group (

P
=
0.01

). The funnel plots identified no publication bias during the identification of efficacy. Conclusions. The high-quality nursing care for patients during the resuscitation period can shorten the recovery time of their self-consciousness and self-breathing, reduce the occurrence rate of restlessness, improve patients’ anxiety and depression, reduce complications, and play a certain clinical application effect.
Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm
Authors: Yang Fan , Rao Yutai , Wu Ke , Wang Gang , Bao Yi , Liu Cuiling
Published: August 2022

The ideological and political collaborative education mechanism is an important course teaching method that uses all courses as a carrier to cultivate students' all-round development in morality, intelligence, physique, and beauty. The purpose of this paper is to conduct a better research on the construction of the ideological and political collaborative education mechanism by building models based on edge computing and neural network algorithm. This paper first gave a general introduction to edge computing and neural network algorithm and then analyzed the current situation of ideological and political courses in a certain school. Then, edge computing and neural network algorithm were introduced into the analysis of an important course teaching method that used all courses as a carrier to cultivate students’ comprehensive development in morality, intelligence, physique, and beauty. The BP neural network model was established. Through analysis and comparison, the experimental results showed that 56.47% of the students believed that the impact of personal morality on the future development of college students was the first in the relationship between “virtue” and “talent.” More than half of the students believed that the “virtue” of building morality and cultivating people was mainly civic morality, and about 30% of the students thought that the main value was loving the party and patriotism, which meant that most students believed that the main value of building morality and cultivating people was to establish morality.
The Synergy between Pharmacological Regimens and Dermocosmetics and Its Impact on Adherence in Acne Treatment
Authors: Araviiskaia Elena , Layton Alison Margaret , Estebaranz Jose Luis López , Ochsendorf Falk , Micali Giuseppe
Published: August 2022

Background. Acne is the most common inflammatory skin disease in adolescence. It is also prevalent in adults, especially females. The disease has a considerable impact on health‐related quality of life. Many studies have reported the negative impact of acne on patients due to skin disfigurement, ineffective treatment, and adverse effects of the treatment. Numerous factors contribute towards nonadherence to therapy. Summary. This review discusses the various factors that are related to treatment nonadherence such as ineffective therapy, adverse effects with topical pharmacotherapy such as skin irritation and erythema as well as patient‐related factors such as lack of knowledge of disease and a poor patient‐physician relationship. Various methods are being adopted to increase adherence to treatments. Increased adherence to acne therapy has been associated with the use of dermocosmetics, such as moisturizers and cleansers. Encouraging the use of dermocosmetics in synergy with pharmacological regimens could support improved treatment adherence resulting in better clinical outcomes for acne patients. Conclusion. Dermocosmetics as an adjunct to pharmacological regimens has the potential to improve clinical outcomes by increasing treatment adherence in patients with acne.
Grain-Sized Moxibustion Heightens the AntiTumor Effect of Cyclophosphamide in Hepa1-6 Bearing Mice
Authors: Zhu Tao , Ma Yanzhu , Wang Jianyun , Chen Xiaolin , Li Jianhao , Meng Liqiang , Hou Yuduo , Cheng Yanting
Published: August 2022

Objective. The side effects of chemotherapy as a treatment of liver cancer cannot be ignored. Grain-sized moxibustion, a characteristic external therapy, has been shown to reduce the toxic and side effects of chemotherapy and regulate the immune function. The purpose of this study was to explore the synergistic antitumor activity of grain-sized moxibustion combined with cyclophosphamide (CTX). Methods. A hepatoma 1–6 (Hepa1-6)-bearing mouse model was established by injecting mice with Hepa1-6 cancer cells. CTX and grain-sized moxibustion on Dazhui (DU14), Zusanli (ST36), and Sanyinjiao (SP6) were used for treatment, and mouse survival status, body weight, and tumor growth, weight, and volume were measured. White blood cells (WBCs) and bone marrow nucleated cells (BMNCs) were quantified. The spleens and livers of Hepa1-6-bearing mice were pathologically examined and scored. Serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were measured with enzyme-linked immunosorbent assay (ELISA) kits, and protein and mRNA expression levels of Ki67 and proliferating cell nuclear antigen (PCNA) in tumor tissues were measured with immunohistochemistry and real-time quantitative polymerase chain reaction (RT-qPCR) techniques. Results. Both grain-sized moxibustion and CTX could restrain the growth of Hepa1-6 tumors, reducing both tumor volume and weight; the combined treatment had a greater effect. Grain-sized moxibustion down-regulated the expression of proliferation genes Ki67 and PCNA, weakened the proliferation ability of Hepa1-6 tumor cells, inhibited tumor growth, and enhanced the antitumor effect of CTX. In addition, grain-sized moxibustion significantly improved the signs of CTX-induced toxicity (including weight loss, leukopenia, bone marrow suppression, and hepatotoxicity), down-regulated serum AST and ALT levels, reduced spleen and liver inflammation, and improved liver and spleen indices. Conclusion. Grain-sized moxibustion can synergize with CTX to enhance the antitumor effect of CTX and alleviate its toxic and side effects. It may be a promising adjuvant therapy to chemotherapy.
Wear Investigation of Aluminum Alloy Surface Layers Fabricated through Friction Stir Welding Method
Authors: Vijayakumar S. , Anitha S. , Arivazhagan R. , Hailu Ashebir Dingeto , Rao T. V. Janardhana , Pydi Hari Prasadarao
Published: August 2022

In this research paper, an effort was made to investigate the dry sliding wear rate of friction stir welded AA6262/AA5456 composite performed by the Taguchi approach. Wear experiments are carried out by selecting suitable process parameters such as load (LD), sliding speed (SS), and sliding distance (SE) to recognize the individual and combination effects of parameters. Orthogonal array L27 mode is applied to make numbers of experiments to find the extreme and minimum wear amount. The experimental works are conducted on Pin on Disc (POD) apparatus and measured the weight of samples before and after test for calculating wear rate (WR) and then various analyses are performed such as ANOVA, interaction plot between parameters, and regression model with support of MINITAB software. The results revealed that maximum wear rate is found as 0.01215 mm3/Nm at LD of 50 N, SE of 600 m, and SS of 4 m/s, whereas minimum 0.00414 mm3/Nm at the grouping process parameters which are LD of 30 N, SE of 400 m, and SS of 6 m/s. From the observation of ANOVA, the most significant factor is identified as load, followed by sliding distance, sliding speed, and combination of each parameter. The load is considered as main parameter which contributes about 83.75% to achieve the maximum wear rate of developed AA6262/5456 composites. The contribution of sliding distance and speed are 3.75% and 1.85%, respectively.
[Retracted] Preliminary Study on Grading Diagnosis of Early Knee Osteoarthritis by Shear Wave Elastography
Authors: Zhang Xiaojing , Lin Danchun , Jiang Jiatong , Guo Zexing
Published: August 2022

Knee osteoarthritis (KOA) is the most common chronic bone joint disease. The WHO points out that KOA has become the fourth most disabling disease in the world, and the main clinical treatment is prevention. At present, the clinical diagnosis of knee osteoarthritis with deformation is mainly made by X‐ray and two‐dimensional ultrasound, and the preventive treatment effect is not good. Shear wave elastography (SWE) has been widely used in clinical practice for its advantages of noninvasive, simple, rapid, and high accuracy in soft tissue hardness. This study investigates the feasibility of using SWE in the grading diagnosis of KOA and the detection of early skeletal muscle injury. 60 patients were enrolled with unilateral KOA who met the inclusion criteria. Routine scanning and SWE exploration were carried out and compared between the affected and healthy knee joints. The measurements included morphology, damage degree of cartilage, joint effusion, joint synovial thickness, the degree of meniscus convexity, and shear wave speed (SWS) in the tendon attachment area of the quadriceps femoris superior patella, and tendon thickness and SWS between and within groups. The affected was scored according to the ultrasonic characteristics. The correlation between them was analyzed to evaluate the feasibility of SWE in grading the diagnosis of KOA. 57 cases had knee cavity effusion (57/60, 95.0%), 58 cases had knee cartilage injury (58/60, 96.6%), and 35 cases had a lateral process of the medial meniscus (35/60, 53.3%); 30 cases had synovial hyperplasia (30/60, 50%), 21 cases had osteophyte formation (21/60, 35%), and no one had a popliteal cyst. There was no significant difference in tendon thickness between and within groups (p > 0.05), but a significant difference in SWS (p < 0.01); the SWS of the quadriceps femoris tendon is negatively correlated with ultrasound score (r = 0.955, p < 0.01). There is a strong negative correlation between SWS and the degree of KOA. It can be used in the grading diagnosis of KOA to help find more early strain points.
[Retracted] Health Screening and Promotion System Based on Disease Prevention
Authors: Zheng Fangjiang , Zheng Jie , Han Mingxia , Wei Yanqiang , Shi Lili
Published: August 2022

With the rapid development of modern medical technology, more and more clinicians use computerized medical images as the main diagnostic basis. At the same time, the generation of massive medical image information promotes the development of medical image management. Aiming at the above two problems, a medical image reporting system based on physical examination is designed and implemented, in which the medical image reporting system is an independent and complete system including login, registration, appointment, triage and doctor workstation (inquiry, report editing, and report printing), and other modules. Using the methods of literature review, expert interview, case analysis, and rational analysis, combined with nanotechnology research, this paper takes urban population health as the starting point and health promotion as the background. As the basis of systematic comparison, the theory, position, and function of health promotion are discussed in detail. Among them, Chinese Center for Disease Control and Prevention, World Health Organization, and Subscriber Data Center are the collection sites for the literature data mentioned in this article. With the construction of healthy towns and the development of social movements, the establishment of healthy sports to improve health promotion system aims to help sports play an important role in promoting healthy development. The results show that the average scores of step test for boys and girls in the test are 72.97 and 68.77, respectively, while the average scores of distance running in the national physique monitoring are 66 and 63. Therefore, in the newly established scoring standard, the step test scores of boys with 66 points are 72, while those of girls with 66 points are 68.
Feature Extraction for Evaluating the Complexity of Electromagnetic Environment Based on Adaptive Multiscale Morphological Gradient and Nonnegative Matrix Factorization
Authors: Xi Hua-Chen , Li Bing , Mai Wen-Hui , Xu Xiong , Wang Ya
Published: August 2022

In the current battlefield space, with the massive application of electromagnetic equipment, the electromagnetic environment in the battlefield space tends to be complex, which can lead to the electromagnetic equipment and personnel in the battlefield space receiving interference from the electromagnetic environment signal. To protect the safety of personnel and equipment quality, it is necessary to evaluate the complexity of the electromagnetic environment signal research, to use the corresponding measures. However, there is still little research related to the evaluation of the complexity of electromagnetic environmental signals. In this paper, a feature extraction method for electromagnetic environmental signals based on adaptive multiscale morphological gradient filtering and a nonnegative matrix factorization algorithm is proposed. First, the electromagnetic environment signal is filtered by AMMG, and then the filtered signal is processed by NMF for feature extraction. Finally, the complex electromagnetic environment signals after feature extraction are evaluated and classified by the SVM method. The results show that the evaluation results have good classification accuracy, and this paper provides an effective feature extraction method for the complexity of electromagnetic environment signals.
[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment
Authors: Quan Wei , Xie Qiao
Published: August 2022

In order to solve the problem that the ideological and political work mechanism in colleges and universities is relatively backward, which has no significant effect on ensuring the healthy and vigorous development of socialist universities with Chinese characteristics and promoting the all‐round growth of students, this research focuses on the innovative countermeasures of ideological and political work in colleges and universities under the network environment from the perspective of ideological and political education. Therefore, the current situation and problems of ideological and political education management in colleges and universities are understood through questionnaire survey and interview. It is learned that 24.09% of students believe that the level of ideological and political education activities in colleges and universities is declining, 32.12% of students do not like the traditional way of ideological and political education, 33.94% of students have a general evaluation of the current ideological and political education management, and 58.03% of students believe that the way of ideological and political education is relatively single. Network psychological education for college students is a kind of educational behavior aimed at the psychological change process of college students in the Internet environment, and it conducts psychological education for college students in terms of cognition, emotion, will, ethics, personality shaping, interpersonal communication, and so on. Based on the above problems, combined with the requirements of ideological and political management and the needs of students, this article puts forward countermeasures from three aspects: management mechanism innovation, team improvement, and adaptation ways. Therefore, the management of ideological and political education in the network era is not a thing overnight, and must be adhered to for a long time. Only by constantly exploring, strengthening research, absorbing the strengths of others, innovating and developing, the ideological and political education management in the network era will increasingly show its strong effectiveness and play a more and more important role in practical work. The lack of network morality and network norms not only affects the ideological and political education but also affects the ideological and moral elements of higher vocational students’ quality and physical and mental health.
Analysis of Related Factors Affecting Facial Nerve Function after Acoustic Neuroma Surgery
Authors: Liu Chunhan , Shen Yage , Han Dongyi , Zhang Di
Published: August 2022

Objective. To investigate the factors affecting facial nerve function after acoustic neuroma surgery and to provide theoretical reference for clinicians to preserve facial nerve function better after surgery. Methods. A retrospective cohort study was conducted to analyze the correlation between postoperative facial nerve function and surgical approach, age, sex, tumor size and adhesion degree of facial nerve in 152 patients with acoustic neuroma. Results. In the choice of surgical approach, there was no significant difference in the anatomy of the complete facial nerve in labyrinth path, retrosigmoid sinus path, and middle cranial fossa path. There was no statistically significant difference between the middle cranial fossa path and the retrosigmoid sinus path in facial nerve function preservation 7 days after surgery. The difference between middle cranial fossa path and labyrinthine path was statistically significant (

P
<
0.01

). There were statistically significant differences between labyrinth path and retrosigmoid sinus path (

P
<
0.05

). Logistic multivariate regression analysis showed that the operative approach and the degree of adhesion between tumor and facial nerve were the risk factors affecting functional preservation of facial nerve 7 days after surgery. Age and the degree of adhesion between tumor and facial nerve were the risk factors for functional preservation of facial nerve 1 year after operation. Conclusion. The facial nerve function injury in patients with acoustic neuroma may be related to the choice of surgical approach, the adhesion degree of tumor and facial nerve, and their age. Clinicians need to comprehensively evaluate the risk factors before surgery, so as to achieve individualized treatment to protect the integrity of postoperative facial nerve function of patients.
A Study on the Design of English Speaking Examination System Based on SSM Framework
Authors: Zheng Hongying
Published: August 2022

At present, the teaching, training, and assessment programs of English speaking courses in schools are basically carried out by the teaching method of face-to-face teaching by teachers, especially in the English speaking assessment; students and teachers communicate with each other to answer questions, while the students’ performance is subjectively judged by the school English teachers. This model not only consumes the teaching resources of school English teachers but also cannot ensure the uniformity of grading standards. To this end, this paper designs and proposes an English speaking test system with the aim of building an intelligent speaking test system by designing a speech recognition deepening frequency processing function through SSM framework combined with JSP technology and deep learning theory. The English speaking test system designed in this paper integrates several open source frameworks, adopts modular design, and divides it into two subsystems, student-side module system and teacher-side module system for system framework design, and finally, this system is tested for functionality. The system was designed and implemented through the framework description, functional description, and functional testing of this system, and finally, the English speaking test system was designed and implemented. The system is designed and implemented to change the traditional one-to-one mode of school teaching, save teachers’ manpower, strengthen the content of intensive training for students’ English proficiency and improve the frequency of exams, facilitate school administrators and English teachers to evaluate the effectiveness of their teaching implementation, and develop corresponding effective individualized teaching and guidance strategies for schools to provide convenience, which can greatly reduce the recognized labor intensity of English teachers and provide a correct evaluation of students, a correct evaluation of the level, and other roles.
Development and Application of an Expert Decision-Making System for Personalized Exercise Prescriptions for Children with Special Physiques
Authors: Zhang Li-Fang , Fang Chun-Long , Zhou Liang
Published: August 2022

The expert decision-making system is developed to provide a scientific and reasonable exercise solution management platform for primary and middle school students, especially children with special physiques, such as obesity and thinness, to improve the universality and compliance of exercise prescriptions for children with special physiques. The system provides personal information management, exercise management, exercise solution formulation, data statistics, and image management functions, enables self-selection, and free combination of children exercise prescriptions, and can improve the effectiveness of such prescriptions through personalized design. The system first divides exercise prescriptions into three bigger sections: the warm-up section, the main exercise section, and the cool-down section, then subdivides them into 15 smaller sections, further chooses, matches, verifies, and revises the components of the exercise prescription according to the object’s basic demographic information and body mass index and finally formulates a personalized and reasonable exercise prescription. It also can track and manage the exercise solution formulated and dynamically adjust the exercise solution according to the change of the object’s body index, thus strengthening the degree of freedom and personalized characteristics of the exercise prescription.
Suitability Evaluation of Crop Variety via Graph Neural Network
Authors: Zhang Qiusi , Li Bo , Zhang Yong , Wang Shufeng
Published: August 2022

With the continuous growth of the global population, insufficient food production has become an urgent problem to be solved in most countries. At present, using artificial intelligence technology to improve suitability between land and crop varieties to increase crop yields has become a consensus among agricultural researchers. However, there are still many problems in existing works, such as limited crop phenotypic data and the poor performance of artificial intelligence models. In this regard, we take maize as an example to collect a large amount of environmental climate and crop phenotypic traits data at multiple experimental sites and construct an extensive dataset. Then, we introduce a graph neural network model to learn crop suitability evaluation and finally achieve a good evaluation effect. The evaluation results of the model can not only provide a reference for expert evaluation but also judge the suitability of the variety to other test trial sites according to the data of the current one, so as to guide future breeding experiments.
Proposal and Efficacy of a Nurse-Led Pain Management Model for Neurointensive Care Based on the Precede-Proceed Model
Authors: Zhu Xiangxiang , Song Caifang , Lu Tingting , Jin Minli
Published: August 2022

Objective. This study’s objective is to establish a nurse-led pain management model for neurointensive care based on the Precede-Proceed model to provide a theoretical basis for clinical pain management in neurointensive care. Methods. ICU nurses were randomly divided into a control group (giving conventional routine pain care) and an experimental group (managed pain based on the Precede-Proceed model). The nurses from the experimental group were trained in the Precede-Proceed-based management. The nurses then treated a total of 410 critically ill patients, and the patients were randomly divided into a control and an intervention group (205 cases/nursing group), and the data were prospectively recorded. Before and after the intervention, the pain assessment ability, discomfort level, satisfaction degree, usage of the analgesic drug, and the incidence of delirium of the patients from the two groups were evaluated. Nurses from both groups also assessed their knowledge of pain, attitude, and pain nursing behaviors using indicated self-designed questionnaires. Results. Before the intervention, there was no statistical difference between the two groups of nurses in their baseline characteristics, pain knowledge, attitude, pain nursing behavior, and pain assessment ability for the patients. After the intervention, the nurses in the experimental group had better pain knowledge, attitude, pain nursing behavior, and pain assessment ability to patients than the nurses in the control group. Patients in the intervention group felt less discomfort, a higher satisfaction degree, reduced use of analgesics, and a lower incidence of delirium than patients in the control group. Conclusion. Pain management based on the Precede-Proceed model was beneficial in improving the care of neurointensive patients.
Coincidence Summing Factor Calculation for Volumetric γ-ray Sources Using Geant4 Simulation
Authors: Aloraini Dalal Abdullah , Elsafi Mohamed , Almuqrin Aljawhara H. , Sayyed M.I.
Published: August 2022

Geant4 simulation was applied to correct the coincidence summing (CS) effect in detecting a volumetric γ-ray sources, and this technique was applied to a152Eu standard sources. The radioactive sources were a liquid cylindrical, rectangular, and Marinelli beaker shapes of different volume for each one. Radionuclide track (RT) including coincidence summing and monoenergetic track without coincidence summing. The results obtained from two approaches compared with the experimental data and the modified KORSUM code for cylindrical γ-ray source. The comparison showed that the adopted method in this investigation is useful for coincidence summing corrections for a voluminous γ-ray sources.Moreover, this technique requires far less computation time than the techniques that depend on the calculation of total efficiency.