bluuebunny/crossref_metadata_2025 huggingface dataset:
First-Principles Prediction of Structural, Elastic, Mechanical, and Electronic Properties of Cu2ZnSnS4 under Pressure
Authors: Liu Jiao
Published: July 2022

Quaternary compounds are high desirable for realizing advanced optoelectronic and spintronic devices. In this paper, we have systematic studied the effects of pressure on the structural, elastic, mechanical, and electronic properties of Cu2ZnSnS4 by means of first-principles calculations. The results indicated that both the lattice constant and cell volume decrease with the increase of pressure, which are matched well with available previous values. The pressure has a more significant influence on the c direction than the a and b direction. The obtained elastic constants reveal the Cu2ZnSnS4 is mechanically stable between 0 GPa and 15 GPa. The bulk modulus, shear modulus, and Young’s modulus are evaluated by Voigt-Reuss-Hill approximation. All these elastic moduli exhibit a monotonic feature as a function of pressure. The Poisson’s ratio, Pugh’s criterion, and Cauchy pressure indicate that the quaternary compound Cu2ZnSnS4 is ductile against pressure. Meanwhile, the analysis of the electronic structures reveals that the states near the valence band top are derived from Cu 3d and S 3p orbitals, and the lowest conduction band is composed of Sn 5s and S 3p orbitals. We expect that the findings predicted the physical properties of this compound will promote future experimental studies on Cu2ZnSnS4.
Seed Longevity of Tagasaste (Chamaecytisus palmensis) after Seed Treatment Using Boiling Water as Affected by Storage Durations
Authors: Faji Mulisa , Kebede Gezahagn , Feyissa Fekede , Mohammed Kedir , Mengistu Gezahagn
Published: July 2022

Storage duration and seed treatments before storage are important factors responsible for retaining seed longevity. Hence, germination of tagasaste seed in the laboratory or nursery has been difficult and problematic without seed treatment, and yet, there is no information about the tagasaste seed longevity after treatment. Thus, this research was carried out to investigate the longevity of tagasaste seed after seed treatment for optimum germination percentage. The tagasaste seed was collected from the field of Holetta Agricultural Research Centre and treated monthly from March 2016 through February 2017. The germination test for the treated seed was done in the month of March for three consecutive years (2017, 2018, and 2019). The experiment was conducted in a randomized complete block design with three replications. The data were analyzed using the SAS software, and the least significant difference was employed for mean separation. The germination percentage was not significantly

P
>
0.05

different within the months of the first, second, and third years of storage durations. While, the germination percentage of the seed stored after treatment for one, two, and three years was nonsignificant

P
>
0.05

. Therefore, the treated seed of tagasaste can be stored under the ambient conditions of a tropical highland environment for about three years without significant loss in germination percentage. However, the study should be conducted for more years to know the effect of storage duration on seed viability of tagasaste after seed treatment.
Jieduan–Niwan Formula Ameliorates Oxidative Stress and Apoptosis in Acute-on-Chronic Liver Failure by Suppressing HMGB1/TLR-4/NF-κB Signaling Pathway: A Study In Vivo and In Vitro
Authors: Fang Peng , Dou Bo , Hou Weixin , Wei Xiaoyi , Liang Jiajun , Ma Chongyang , Zhang Qiuyun
Published: July 2022

Jieduan-Niwan (JDNW) formula is a traditional Chinese medicine compound created by the famous Chinese medicine expert Professor Qian Ying, and has been used clinically for decades to treat acute-on-chronic liver failure (ACLF) and exhibits remarkable efficacy. However, the exact mechanism remains to be discovered. As an important hepatocyte damage-associated molecular patterns (DAMP) factor, high mobility group box 1 (HMGB1) is a potential therapeutic target as an accelerator of ACLF in the pathogenesis. Therefore, the present study investigated whether JDNW inhibits the overexpression and cytoplasmic translocation of HMGB1 in ACLF liver tissue and alleviates its mediated oxidative stress and apoptosis. In vivo, an immune-induced ACLF rat model was established, and then treated with JDNW for 5, 10, and 15 d. The results showed that a large number of cytoplasmic translocations of HMGB1 occurred in the ACLF group. And there was an increase in the expression of HMGB1 in the M-5 d group. After the intervention of JDNW, the overexpression and translocation of HMGB1 were inhibited. In vitro, D-GaLN caused an increase in the expression and translocation of HMGB1 in L02 cells. Similar to the inhibitor of HMGB1, JDNW serum alleviated this kind of increase. Further tests showed that JDNW attenuated ACLF-related oxidative stress and apoptosis, and the inhibition was associated with the regulation of TLR-4/NF-κB signaling pathway. In conclusion, our present findings suggest that the therapeutic effect of JDNW on ACLF was associated with the inhibition of high expression and cytoplasmic translocation of HMGB1 during the acute injury phase, thus, attenuating oxidative stress injury and apoptosis induced by HMGB1/TLR-4/NF-κB pathway.
Icariin Regulates the hsa_circ_0003159/eIF4A3/bcl-2 Axis to Promote Gastric Cancer Cell Apoptosis
Authors: Yin Yanfen , Xu Wenwen , Song Yanan , Zhou Zhou , Sun Xin , Zhang Fengli
Published: July 2022

Objective. To clarify the mechanism of icariin (ICA) promoting gastric cancer (GC) cell apoptosis by regulating circ_0003159/eIF4A3/bcl-2 axis. Methods. The mRNA or protein levels were detected by qRT-PCR or the western blot. The interaction between eIF4A3 protein and circ_0003159 or eIF4A3 protein and bcl-2 mRNA were validated by RNA pull down assays and the RNA immunoprecipitation (RIP) assay. The cell viability was measured by the cell counting kit (CCK)-8 kit. The cell apoptosis was measured by flow cytometry. Results. Compared with the group Vector, the ratio of cytoplasmic eIF4A3/nuclear eIF4A3 in the cell with circ_0003159 overexpression was significantly higher. RIP and RNA pull down results proved the interaction between eIF4A3 and circ_0003159. The RIP assay further validated the interaction between eIF4A3 and bcl-2. By gain or loss of the functional experiment, hsa_circ_0003159 was proved to recruit eIF4A3 to inhibit bcl-2 expression. Hsa_circ_0003159 regulates eIF4A3/bcl-2 to reduce GC cell viability and increase apoptosis Furthermore, ICA regulates hsa_circ_0003159/eIF4A3/bcl-2 axis to inhibit GC cell activity and induce GC cell apoptosis in vitro. Conclusion. These data showed that ICA could effectively reduce the GC cell activity and induce GC cell apoptosis via hsa_circ_0003159/eIF4A3/bcl-2 axis, which provides new theoretical evidence for the treatment of GC by ICA.
Clinical Efficacy of Dienogest versus Levonorgestrel-Releasing Intrauterine System for Adenomyosis
Authors: Yang Siyuan , Liu Yuchen , Wen Jing , Sun Yi , Ren Fang
Published: July 2022

Objective. The aim of this study is to evaluate the efficacy of dienogest versus levonorgestrel-releasing intrauterine system (LNG-IUS) for the treatment of adenomyosis. Methods. In this retrospective study, 85 patients with adenomyosis treated in The First Affiliated Hospital of Zhengzhou University from May 2019 to May 2021 were recruited and assigned, via the random number table method at a ratio of 1 : 1, to receive either dienogest (observation group, n = 41) or LNG-IUS (control group, n = 44). The patients presented with dysmenorrhea, menorrhagia, and infertility. The treatment outcome was evaluated using visual analogue scale (VAS) scores, menstrual volume, uterine volume, endometrial thickness, and adverse reactions. Results. After treatment, the VAS score, menstrual volume, and endometrial thickness were significantly decreased in both groups (

P
<
0.05

). After 3, 6, and 12 months of treatment, patients receiving dienogest showed significantly lower VAS scores compared to those treated with LNG-IUS (

P
<
0.05

). After 6 and 12 months of treatment, patients receiving dienogest were also found to have a significantly better control of menstrual volume compared to those receiving LNG-IUS (

P
<
0.05

). Irregular vaginal bleeding was mainly seen in the first 3 months of treatment with dienogest. The incidence of irregular vaginal bleeding lasting more than 6 months was lower with LNG-IUS treatment than with dienogest (

P
<
0.05

), and it decreased in both groups as the duration of treatment increased. Conclusion. Dienogest effectively alleviates dysmenorrhea, relieves pelvic pain, dyspareunia, and reduces menstrual flow in patients with adenomyosis, with few adverse effects and a high safety profile.
Inhibitory Effect of miR-339-5p on Glioma through PTP4A1/HMGB1 Pathway
Authors: Zheng Buyi , Wang Shouyi , Shen Huanan , Lin Jie
Published: July 2022

Objective. Finding miR-339-5p inhibitory functions in glioma through PTP4A1/HMGB1 pathway. Methods. From May 2020 to August 2021, 20 glioblastoma and para cancer tissues were chosen for qRT-PCR analysis. The miR-NC, miR-con, miR-339-5PMIMIC, and miR-con + groups were transfected into human glioma U251 cells. The capacity of cell vascular-like structure construction was found by simulating angiogenesis, and the ability of cell movement was examined by cell scratching. The twofold luciferase reporter gene method determined that miR-339-5p targets PTP4A1, and the protein expression levels of PTP4A1 and HMGB1 were examined using Western blot. Results. MiR-339-5P expression was substantially lower in cancer samples than noncancer samples (

P
<
0.05

). PTP4A1 expression in cancer samples was higher than in healthy controls (

P
<
0.05

). The miR-339-5p group produced significantly less vascular-like structures than the NC and miR-con groups (

P
<
0.05

). The miR-339-5p group lowered the invasive index and migratory rate of U251 cells (

P
<
0.05

). PTP4A1 inhibited the luciferase activity of the pTP4A1-WT reporter gene (

P
<
0.05

) but not the PTP4A1-MUT (

P
>
0.05

). The miR-339-5p group had lower protein levels of PTP4A1 and HMGB1 than the NC and miR-con groups (

P
<
0.05

). The development of vascular-like structures was substantially more significant in the miR-con +PTP4A1 group than in the miR-con and miR-339-5p +PTP4A1 groups (

P
<
0.05

). In terms of migration and invasion index, there was a substantial difference between the miR-339-5p +PTP4A1 and the miR-con +PTP4A1 groups (

P
<
0.05

). The miR-con +PTP4A1 group had a greater migration rate and invasive index than the miR-con and miR-339-5p +PTP4A1 groups (

P
<
0.05

). Conclusion. MiR-339-5P inhibits angiogenic mimicry, migration, and invasion of brain glioma U251 cells by inhibiting the PTP4A1/HMGB1 signal pathway.
Research on the Effect of Nursing Methods for Gestational Diabetes Mellitus Based on Comprehensive Nursing Intervention
Authors: Ren Xueqiong , Jin Jianing , Chen Yaer , Jin Jing
Published: July 2022

In order to explore the effective way of gestational diabetes care, this paper applies comprehensive nursing to gestational diabetes care. In terms of nursing intervention for pregnant women with gestational diabetes mellitus, combining the phased changes of pregnant women’s physiological and psychological needs during pregnancy, this paper comprehensively implements health education, diet intervention, exercise intervention, pregnancy monitoring, psychological intervention, infection prevention, and perinatal monitoring and other nursing interventions in a selective and focused manner. This makes the intervention measures at each stage focused, intersecting, interpenetrating, and continuing to play a role, which can effectively improve the implementation effect of the intervention measures and better promote the effective improvement of pregnancy outcomes. In addition, this paper studies the effect of gestational diabetes care based on comprehensive nursing intervention through a controlled trial, and the study verifies that comprehensive nursing has a good effect in gestational diabetes care.
Characteristics of Water Pollution and Evaluation of Water Quality in Subsidence Water Bodies in Huainan Coal Mining Areas, China
Authors: Deng Xinyue , Chen Guangzhou
Published: July 2022

The subsidence water bodies in coal mining areas are vulnerable to being polluted by the surrounding mining production wastewater, domestic sewage, and agricultural return flow. Therefore, it is important to grasp the water quality condition of the above water bodies. A total of 16 surface water samples from 7 different subsidence water bodies in the Huainan mining area were collected and focused on the selection of 22 water quality indicators for water pollution characteristics analysis. The result of correlation analysis showed that Cr and Zn came from the same source of pollution. Three principal factors were selected by factor analysis, which could explain 82.294% of the total variance. Principal factor 1 indicated a mixture of pollution related to nitrogen and phosphorus nutrients, organic pollutants, and heavy metals; principal factor 2 showed heavy metal pollution; and principal factor 3 presented the pollution from heavy metals and cations. Results of cluster analysis showed that the water quality status of 16 sampling points could be divided into 4 clusters. The results of the heavy metal pollution index method showed that the heavy metal pollution was most serious in sample 9 (S9), S15, and S16, and the main elements of pollution were Ni, Fe, and Mn. Single-factor evaluation, comprehensive pollution index, the universal exponential formula of logarithmic power function, and membership degree method were used to evaluate the five important water quality indicators, namely total nitrogen, ammonia nitrogen, total phosphorus, dissolved oxygen, and chemical oxygen demand. The results showed that the total nitrogen pollution in the study area was more serious, most of the sites exceed class V standards of the surface water, S14 and S16 were heavily polluted. Based on the comparison of the different methods, the surface water quality in the study area can be reflected more comprehensively.
Safety and Efficacy of Unicondylar Knee Prosthesis Treatment for Unicompartmental Osteoarthritis of the Knee Joint
Authors: Zhang Dahua , Zhang Xiang
Published: July 2022

Background. Knee osteoarthritis (KOA) is a chronic disease that seriously endangers the health of the elderly. Choosing appropriate surgery for knee osteoarthritis patients is especially important. Objective. To investigate the safety and efficacy of unicondylar knee prosthesis treatment for unicompartmental osteoarthritis of the knee. Materials and Methods. One hundred patients with unicondylar osteoarthritis of the knee treated in our hospital from June 2019 to June 2021 were selected as retrospective study subjects and were divided into 50 cases each in the comparison group and the observation group according to the different surgical methods. Among them, the comparison group was treated with unicondylar knee arthroplasty (UKA), and the observation group was treated with unicondylar knee prosthesis replacement, and the differences in AKS score, knee flexion angle, tibial angle orthosis, joint mobility, and postoperative recovery were compared between the two groups. Results. The AKS score and knee flexion angle score of the observation group were higher than those of the comparison group after surgery. However, the tibial angle orthopedic score of the observation group was significantly lower than that of the comparison group after surgery for comparison, and the VAS score of the observation group was lower than that of the comparison group. However, the Lysholm score of the observation group was higher than that of the control group after surgery (

P
<
0.05

). The complication rate of patients in the observation group was significantly lower than that of the comparison group, and the HSS score, VAS score, and knee mobility (ROM) of the two groups were statistically significant (

P
<
0.05

) when compared at 7 d after surgery and 6 months after surgery. Conclusion. The clinical efficacy of unicondylar knee prosthesis replacement for osteoarthritis of the knee is better than that of unicondylar knee arthroplasty (UKA) treatment.
Active Compounds and Targets of Yuanzhi Powder in Treating Alzheimer’s Disease and Its Relationship with Immune Infiltration Based on HPLC Fingerprint and Network Pharmacology
Authors: Liu Qingsong , Wang Shaofeng , Hao Yanwei , Li Jiaxin , Li Wei , Zhang Yi , Li Bin
Published: July 2022

Background. Yuanzhi powder (YZP) has been extensively investigated as a natural prescription with therapeutic benefits for Alzheimer’s disease (AD). However, its active compounds and underlying immune mechanism for treating AD are still unclear. This study aimed to investigate the immune mechanism of YZP against AD through high-performance liquid chromatography (HPLC)-based network pharmacology and gene chip technology. Methods. Active components of YZP were obtained from HPLC and public databases. Subsequently, GSE5281, GSE28146, GSE29378, and GSE97760 from the Gene Expression Omnibus (GEO) database were downloaded to extract AD difference genes (DEGs). The active components-targets network and protein interaction network were then constructed by Cytoscape. The biological processes and signaling pathways, which implicate the targets of YZP for AD, were analyzed using the ClueGo Cytoscape plug-in. Molecular docking experiments were performed to verify the affinity of targets and ligands. Ultimately, the link between the hub genes and immune cell infiltration was assessed via CIBERSORT. Results. 83 YZP active compounds and 641 DEGs associated with AD, including quercetin, berberine, 3,6′-disinapoylsucrose, coptisine, and palmatine, were evaluated. We showed that FOS, CCL2, and GJA1 were the core targets and that the gap junction is an essential signaling pathway in YZP for AD. Furthermore, the AD group had a higher infiltration level of naïve B cells and resting CD4 memory T cells, as determined by the CIBERSORT. Notably, the immune cells-targets network demonstrates that GJA1 and GRM1 are intimately related to naïve B cells and plasma cells. Conclusions. YZP may help treat AD by targeting proteins with key active compounds to regulate naïve B cells and plasma cells. Our results demonstrate a new immune mechanism for treating AD with YZP.
The Intelligent Management Mode of College Sports under the Background of 5G Internet of Things
Authors: Huang Zhiqiang , Xu Sun , De Li , Xiong Ma , Gang Wu , Liu Min , Neely Leo
Published: July 2022

The era of 5G Internet of Things (IoT) has changed people’s daily life, brought great convenience to people’s clothing, food, housing, and transportation, and also changed the management mode of physical education in colleges and universities (CAU). The research purpose of this paper is to make college physical education have a better management method in the IoT era. The intelligent management mode in the IoT era is deeply integrated into sports management (SM), and a new mode of college SM is created. This paper uses the questionnaire survey method to analyze the management status of 12 colleges and universities in a city from the aspects of sports course management, sports venue management, physical education teacher management, student and sports management, and so on. The results show that most colleges and universities only implement part of the physical education management system, the sports venues are inconsistent with the curriculum, teachers and students are not satisfied with the use of sports equipment, and the training system for physical education teachers is not perfect. The current situation of sports management reflects the problems in colleges and universities in sports management. In this regard, this paper puts forward suggestions for improving the management of sports teaching, hoping to promote the reform of intelligent management in colleges and universities.
Field Test Study on Deformation Monitoring of Antifloating Anchor Using Optic Fiber Sensor
Authors: Gao Lei , Chen Xiao-Cun , Liu Yin , Liu Jun-Chi , Zhou Huai-Min
Published: July 2022

The antifloating anchors have been widely used in the antifloating problem of underground engineering recently. Due to the complexity of the anchor force in the geotechnical material and the limitations of traditional monitoring methods, it is impossible to grasp the deformation characteristics of the anchor comprehensively. The pullout test of the antifloating anchor on-site is carried out in this paper based on the housing construction project. The Optical Frequency Domain Reflectometry (OFDR) technology is used, the strain distributions are obtained, and the distribution law of axial force is analyzed. The test results show that the strain of the antifloating anchor gradually decreases when anchoring depth increases and eventually tends to zero. The anchoring section is divided into main stressed section and unstressed section. The results show that the OFDR technology can be used to effectively monitor the antifloating anchor in the pullout test; it will help to grasp the deformation of antifloating anchor.
Analysis of Intervention Effect and Satisfaction of Holistic Nursing after Oral Tumor Resection
Authors: Qu Lingling , Yin Yan , Zhao Na , Lv Yongmei , Xu Hangyong
Published: July 2022

Objective. To explore the intervention effect and satisfaction analysis of holistic nursing after oral tumor resection. Methods. A total of 70 oral tumor patients who underwent surgical treatment in our hospital from April 2020 to September 2021 were randomly divided into two groups, with 35 patients in each group. The control group was given basic oral care, the observation group was given overall oral care, and the actual effects of the two groups of care were compared, including the emotional status, compliance and nursing satisfaction, hospital stay and nursing quality scores, pain level, quality of life, and complications occurred. Results. After nursing, the patients in the observation group had good mood, higher compliance and nursing satisfaction, shorter hospital stay, higher nursing quality and quality of life scores, lower pain level, and lower incidence of complications, when compared with the control group. Conclusion. Holistic nursing has obvious effects on patients after oral tumor surgery, which can relieve patients’ negative emotions, improve patients’ compliance with treatment, improve their quality of life, and effectively reduce the degree of pain and the occurrence of complications, which is worthy of clinical promotion.
Simulation of Sports Monitoring System Based on Feature Network
Authors: Luo Guangxia , Yao Guangwen , Zhao Xiaopeng , Wu Gang , Liu Yang
Published: July 2022

In recent years, the network can gradually express more and more complex systems. In the process of network expression, the basic elements of the system are defined as nodes, and the interaction relationship is defined as links. In the current application process, network data are diversified, some express feature structure information, and some express node attribute data. In practice, there is a lot of feature information of network nodes, many of which are redundant. How to filter out the redundant and useless feature information has become an important problem. So that, the feature network is applied, and the node feature correction method is designed. The weight method is used to express the relative importance of the feature problem. At present, the main discovery algorithms can only find the network structure features, and the clustering algorithm can only find the feature information about the network nodes. Therefore, this paper builds an embedded platform based on the remote control and constructs an embedded motion monitoring system. This paper starts with experimental research and completes the design of nutrition scheme through big data analysis method to enhance students’ physique. In this paper, we use the feature network to complete the embedded sports monitoring system and put forward several suggestions to improve sports nutrition management.
MiR-199 Aggravates Doxorubicin-Induced Cardiotoxicity by Targeting TAF9b
Authors: Yu Yangsheng , Guo Degang , Zhao Lin
Published: July 2022

The clinical application of doxorubicin (DOX) is limited because of its cardiotoxicity. However, the pathogenic mechanism of DOX and the role of miRNA in DOX-induced cardiotoxicity remain to be further studied. This study aimed to investigate the role of miR-199 in DOX-mediated cardiotoxicity. A mouse model of myocardial cell injury induced by DOX was established. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression changes of miR-199 and TATA-binding protein associated factor 9B (TAF9b) in DOX-induced cardiac injury. Cell apoptosis was detected by TUNEL staining and flow cytometry. The expression levels of apoptosis-related proteins, namely, Bax and Bcl-2, were detected by qPCR. The expression of Beclin-1 and LC3b was detected by western blotting. The binding effect of miR-199 with TAF9b was verified by dual-luciferase reporter gene assay. In this study, overexpression of miR-199 could promote cardiotoxicity. Inhibition of miR-199 could alleviate DOX-mediated myocardial injury. Further studies showed that miR-199 targeted TAF9b. Moreover, miR-199 promoted apoptosis of myocardial cells and aggravated autophagy. Furthermore, we demonstrated that TAF9B knockdown reversed the myocardial protective effect of miR-199 inhibitors. Therefore, miR-199 promoted DOX-mediated cardiotoxicity by targeting TAF9b, thereby aggravating apoptosis and regulating autophagy.
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease
Authors: Mahesh T. R. , Kumar Dhilip , Vinoth Kumar V. , Asghar Junaid , Mekcha Bazezew Banchigize , Natarajan Rajesh , Vivek V.
Published: July 2022

Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses characterized by persistently high blood sugar levels. The signs of elevated blood sugar include increased hunger, frequent urination, and increased thirst. If DM is not treated properly, it may lead to several complications. Diabetes is caused by either insufficient insulin production by the pancreas or an insufficient insulin response by the body’s cells. Every year, 1.6 million individuals die from this disease. The objective of this research work is to use relevant features to construct a blended ensemble learning (EL)-based forecasting system and find the optimal classifier for comparing clinical outputs. The EL based on Bayesian networks and radial basis functions has been proposed in this article. The performances of five machine learning (ML) techniques, namely, logistic regression (LR), decision tree (DT) classifier, support vector machine (SVM), K-nearest neighbors (KNN), and random forest (RF), are compared with the proposed EL technique. Experiments reveal that the EL method performs better than the existing ML approaches in predicting diabetic illness, with the remarkable accuracy of 97.11%. The proposed ensemble learning could be useful in assisting specialists in accurately diagnosing diabetes and assisting patients in receiving the appropriate therapy.
Resection of Bilateral Symmetrical Multiple Level Cervical Ganglioneuroma in a 43-Year-Old Man, a Probable Case of Neurofibromatosis Type-1: Report of a Case and Review of Literature
Authors: Mousavi Seyed Reza , Motlagh Mohammadhadi Amirshahpari , Karimi Fatemeh , Ebrahimi Bahareh
Published: July 2022

Ganglioneuroma is a benign tumor, originating from sympathetic nervous system. Intradural and dumbbell shape spinal ganglioneuroma has been reported in the literature. In this study, we intend to present our case, a 43-year-old man with multiple cutaneous dimples—probably a Neurofibromatosis type-1 (NF-1) case—and subacute myelopathy, who presented with bilateral symmetric dumbbell shape C2/C3 and C4/C5 intradural extramedullary tumors. After resection, the pathologic feature was revealed as ganglioneuroma. We also reviewed the literature for similar cases, which revealed our case to be the 9th bilateral and symmetrical spinal GN, all of which in cervical region; the 5th involving multiple level (the 3rd multiple bilateral symmetrical involvement), the 3rd extending intradurally, and the first case of involving all cervical nerve root ganglions in different sizes. Bilateral symmetrical spinal GNs have also appeared to have different body location, geographic, and gender distribution.
Research on Machine Vision System Design Based on Deep Learning Neural Network
Authors: Sun Tao , Cao Jujiang
Published: July 2022

A machine vision system (MVS) is a technology that can analyze and recognize still or moving pictures using a computer. It is a branch of computer vision that looks like a security camera but can automatically capture, evaluate, and analyze images. The drawbacks are obvious. In the event of a computer vision system failure, firms must have a team of highly trained people with a thorough understanding of the distinctions. Artificial neural networks with numerous layers between the input and output layers are deep neural networks (DNN). Neurons, synapses, weights, biases, and functions are all part of any neural network, regardless of the kind. Many of the challenges in computer vision revolve around using convolutional neural networks (CNN) to categorize images into predefined categories. Convolutional and pooling layers were utilized to decrease the image’s size before feeding the reduced data to fully connected layers. According to the paper, the MVS-CNN algorithm can analyze a picture and determine the value of various characteristics and objects inside it. It is called convolution when combining two functions to create a third function. It is a fusion of two different datasets. A CNN performs convolution on the input data to build a feature map using a filter or kernel. Using a convolutional neural network, an inverted residual block is introduced as the basic block to balance identification accuracy and processing efficiency. The suggested method’s higher inspection performance is achieved with a huge dataset of photos of faulty and defect-free bottles. The result is obtained from the proposed method, the standard deviation ratio is 83.56%, absolute error ratio is 77.26%, trajectory length difference ratio is 82.35%, source pattern radiation amplitude ratio is 86.25%, classification of accuracy ratio is 83.25%, and finally, overall percentage performance ratio is 90.26%.
Synergistic and Attenuating Effect of Electroacupuncture on Aconitine in Improving Heart Failure and Its Calcium Regulation Mechanism
Authors: Zhou Chen , Wu Mo-Zheng , Liu Qun , Xin Juan-Juan , Wu Shuang , Zhao Yu-Xue , Zhang Wen-Xi , Yu Xiao-Chun , Gao Jun-Hong
Published: July 2022

Objective. The objective is to observe the synergistic and attenuating effect of electroacupuncture (EA) on aconitine (ACO) in improving heart failure (HF) and to explore its underlying mechanism for calcium regulation. Methods. Twenty-four male Sprague-Dawley rats were randomly divided into four groups: normal control (NC) (n = 6), HF(n = 6), ACO (n = 6), and ACO + EA (n = 6). The maximum rates of left ventricular pressure rising and declining (±dp/dtmax), arrhythmia, the left ventricular systolic pressure (LVSP), ejection fraction (LVEF), and fractional shortening (LVFS) were measured by physiological recorder and ultrasound, respectively. Protein expressions of sarcoplasmic/endoplasmic reticulum Ca2+ ATPase (SERCA2a), phospholamban (PLB), and Na+-Ca2+ exchange (NCX1) in the left ventricle tissue were detected by fluorescence immunoblotting. Results. Compared with the NC group, LVSP, ±dp/dtmax, LVEF, and LVFS were decreased in the HF group; compared with the HF group, LVSP, ±dp/dtmax, LVEF, and LVFS were significantly increased in the ACO + EA group. Compared with the ACO group, the incidence and the degree of arrhythmia were significantly reduced in the ACO + EA group. Compared with the NC group, the activity of SERCA2a was decreased, and the expression of PLB and NCX1 was enhanced in the HF group; compared with the HF group and ACO group, the activity of SERCA2a was increased, and the expression of PLB and NCX1 was significantly attenuated in the ACO + EA group. Conclusions. EA plays a synergistic and attenuated role in ACO improving HF, and the mechanism may be related to the enhancement of the SERCA2a activity and the decrease of the expression of PLB and NCX1 in cardiomyocytes.
E-minBatch GraphSAGE: An Industrial Internet Attack Detection Model
Authors: Lan Jin , Lu Jia Z. , Wan Guo G. , Wang Yuan Y. , Huang Chen Y. , Zhang Shi B. , Huang Yu Y. , Ma Jin N.
Published: July 2022

The Industrial Internet has grown rapidly in recent years, and attacks against the Industrial Internet have also increased. When compared with the traditional Internet, the industrial Internet has a more complex network structure, and the traditional graph neural network attack behavior detection model cannot well adapt to the complex network environment. To make the model better adapt to the complex network environment, this paper proposes the E-minBatch GraphSAG model. First, the application layer source port and source IP address is used as source nodes, the application layer target port and target IP address are used as target nodes, and the remaining traffic information is used as edge information to complete the construction of the graph structure data, and then the constructed graph structure data is presampled to select the edge information that needs to be aggregated next, followed by using the AGG aggregation function to aggregate the information in the domain generated by the presampling process. Finally, the information of two adjacent nodes is aggregated as edge information to classify the edges. Increase the number of IP addresses in the UNSW-NB15 dataset, and then use it for model training and testing. The experimental results show that the accuracy of the model reaches 99.49% in a relatively complex network environment. In this paper, the E-minBatch GraphSAG model is presented in an attempt to solve the problem of attack detection in the complex industrial Internet environment.
Seismic Safety Review of Gravity Dam Based on Finite Element Method
Authors: Xu Guanchao , Guo Bowen , Meng Zhuolun , Zhao Jiwei
Published: July 2022

With the change of the seismic parameter zoning map of China (GB 18306-2015), the seismic grade of reservoir dams in some areas had changed. At the same time, the standard for seismic design of hydraulic structures (GB 51247-2018) also put forward new requirements for the seismic calculation of reservoir dams. In order to ensure the safe operation of reservoir dams, it is necessary to review the seismic safety based on the finite element numerical simulation technology. Taking the retaining dam section of a gravity dam as an example, a finite element model of the retaining dam section was established, the corresponding calculation and analysis of ground motion were carried out using the mode decomposition response spectrum method, and the seismic safety evaluation of the retaining dam section was carried out according to the calculation results. The results show the following: (1) after considering the effect of hydrodynamic pressure, the natural frequency of the dam body has been significantly reduced, and the first-order natural frequency has been reduced by about 10%; (2) in addition to the local tensile stress at the dam heel, the rest of the vertical stress on the foundation surface of the retaining dam section is compressive stress, and the length of the tensile stress is less than the distance from the dam heel to the curtain center line, which met the requirements; (3) the antisliding stability safety factor of the retaining dam section is greater than the design value in the specification and meets the safety requirements; and (4) the seismic safety of the retaining dam section meets the standard requirements, and the seismic grade is evaluated as grade A.
A Novel Method for Diagnosis of Broken Bars Based on Optimum Resolution of Prescient Direction Algorithm
Authors: Jia Zhuzhi , Wang Yizhe , Zhu Hongyu , Song Xiangjin
Published: July 2022

Fourier transformation (FT) and Multiple Signal Classification (MUSIC) method suffer the insufficient ability in diagnosing broken rotor bar (BRB) fault using short-time data. Theoretical and simulation analyses show that the Optimum Resolution of Prescient Direction (ORPD) algorithm has the best frequency resolution performance due to a priori knowledge. The main objective of this paper is to detect BRB faults in induction machines using a condition monitoring architecture based on ORPD algorithm. In the proposed application, the ORPD algorithm with the best frequency resolution performance is used to estimate the fault-sensitive frequencies in the stator current signature. The prior information of BRB fault characteristic distribution is used to construct a weighting matrix in the ORPD algorithm, for acquiring the lowest signal-to-noise ratio resolution threshold. Once frequencies are estimated, their corresponding amplitudes are obtained by using the least squares estimator. The proposed methods were tested using experimental induction motors with different fault severity under the effect of several load levels or supply frequencies. Two types of power supply modes are considered: main and inverter. The results show that compared with traditional method which uses FT and MUSIC algorithm for fault diagnosing, the method based on ORPD algorithm has a higher frequency resolution and identification ability with short-time data, and still has good diagnostic performance even under light loading and lower supply frequencies.
Screening of Proliferation‐Related Genes and Pathological Changes in Thiram‐Induced Tibial Dyschondroplasia
Authors: Jahejo Ali Raza , Zhang Chen-Liang , Nabi Fazul , Kalhoro Nazeer Hussain , Shah Qurban Ali , Bhutto Zohaib Ahmed , Zhao Jin-Feng , Yu Jin , Ning Guan-Bao , Zhang Ding , Chen Shu-Ming , Tian Wen-Xia
Published: July 2022

Aim and Background. Tibial dyschondroplasia (TD) is a tibiotarsal bone disorder of rapid growing poultry species. The complete pathogenicity of TD remains unknown; therefore, a study was conducted to screen possible role of proliferation‐related gene expression in thiram‐induced tibial TD chickens. Materials and Methods. Three hundred sixty (n = 360) broiler chickens were equally divided into control (C) and thiram (T) groups. Furthermore, the C and T groups were dividedinto 8‐, 9‐, 11‐, and 13‐day‐old chickens. Results. Clinically, it was observed that broiler chickens of group T had abnormal posture, gait, and lameness, and histopathological results revealed dead and abnormal chondrocytes of T group on day 6. Real‐time qPCR results showed that HDAC1, MTA1, H4, and PCNA genes were significantly expressed (P < 0.05). HDAC1 was upregulated on days 1, 2, 4, and 6 (P < 0.01); MTA1 was upregulated on days 1 and 2 (P < 0.01); H4 was upregulated on days 2 and 4 (P < 0.01), and PCNA was downregulated on days 1, 2, and 4 (P < 0.01). Furthermore, IHC results of HDAC1 protein were significantly (P < 0.01) expressed in proliferative zone of day 1 and hypertrophic zone of day 6. MTA1 protein was significantly (P < 0.01) expressed on days 1, 2, and 6 in all zones, except prehypertrophic zone of day 2. Conclusion. In conclusion, the mRNA expressions of HDAC1, MTA1, H4, and PCNA were differentially expressed in the chondrocytes of thiram‐induced TD chickens. HDAC1 and MTA1 protein expression found involved and responsible in the abnormal chondrocytes’ proliferation of broiler chicken.
Fitted Operator Method Using Multiple Fitting Factors for Two Parameters Singularly Perturbed Parabolic Problems
Authors: Tefera Dagnachew Mengstie , Tiruneh Awoke Andargie , Derese Getachew Adamu
Published: July 2022

In this paper, we produce

ϵ
,
μ

−

uniform numerical method for a singularly perturbed parabolic differential equation with two parameters. To approximate the solution, we consider the implicit Euler method for time direction, the finite difference method for spatial direction on a uniform mesh, and the fitted operator method with multiple fitting factors. To accelerate the convergence of the method, the Richardson extrapolation method is applied. The results show that the proposed method is second-order convergent in both temporal and spatial directions. The convergence of the scheme is insensitive to the two perturbation parameters. Two model examples are considered to validate the applicability of the proposed method and produced more accurate results compared to some methods that appear in the literature. Matlab software is used to manipulate the results.
Motion Control Analysis of Tennis Robot Based on Ant Colony Algorithm
Authors: Wang Feng , Dong Yujie , Gao Haobo , Wu Lin
Published: July 2022

Visual recognition and automatic control technology is an important way to realize robot automatic ball picking. Therefore, a tennis robot motion control method based on ant colony algorithm is evaluated. After the camera position was fixed, the motion control system software was designed, and the optimal path was solved by ant colony algorithm. The results show that the two adjacent positioning errors and the current total positioning errors fluctuate around -0.05 mm and -2.29 mm, respectively, and the fluctuation range is less than 3.50 mm. Ant colony algorithm is superior to greedy algorithm in path planning of collecting tennis balls. The number of iterations of ant colony algorithm for optimal path planning of 30 to 50 tennis balls is about 20 to 30 times, and the path length is reduced to reduce the time of collecting tennis balls, which meets the actual work requirements.
Military Chain: Construction of Domain Knowledge Graph of Kill Chain Based on Natural Language Model
Authors: Wang Yanfeng , Wang Tao , Wang Junhui , Zhou Xin , Gao Ming , Liu Runmin
Published: July 2022

With the advent of the Big Data era, the specialized data in the kill chain domain has increased dramatically, and the engine-based method of retrieving information can hardly meet the users' need for more accurate answers. The kill chain domain includes four components: control equipment, sensor equipment, strike equipment (weapon and platform), and evaluator equipment, as well as related data which contain a large amount of valuable information such as the parameter information contained in each component. If these fragmented and confusing data are integrated and effective query methods are established, they can help professionals complete the military kill chain knowledge system. The knowledge system constructed in this paper is based on the Neo4j graph database and the US Command simulation system to establish a target-oriented knowledge map of kill chain, aiming to provide data support for the Q&A system. Secondly, in order to facilitate the query, this paper establishes entity and relationship/attribute mining based on the continuous bag-of-words (CBOW) encoding model, bidirectional long short-term memory–conditional random field (BiLSTM-CRF) named entity model, and bidirectional gated recurrent neural network (BiGRU) intent recognition model for Chinese kill chain question and answer; returns the corresponding entity or attribute values in combination with the knowledge graph triad form; and finally constructs the answer return. The constructed knowledge map of the kill chain contains 2767 items (including sea, land, and air), and the number of parameters involved is 30124. The number of model parameters of the deep learning network is 27.9 M for the Q&A system built this time, and the accuracy rate is 85.5% after 200 simulated queries.
Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing
Authors: Liu Lijuan
Published: July 2022

Machine learning is a discipline that covers probability theory, statistics, approximate theoretical knowledge, and complex algorithm knowledge. It is committed to real-time simulation of human learning methods, which can effectively improve learning efficiency. The main function of this calculation method is to use a relatively open platform to integrate the Internet, computers, memory, and other terminal applications through integrated technical means. For providing short-distance services and applications, we should start from the edge of the program to create a faster network. Service response covers the basic needs of real-time processing industry, intelligent applications, and security and privacy protection. This paper aims to study the recognition of urban traffic conditions and refine the recognition through the improvement of edge computing algorithms. This paper proposes a method to calculate traffic flow parameters, preprocess the traffic flow data, delete irrelevant features, use flow theory to delete wrong data, and change the data in time according to actual needs, carrying out refined discrimination and analysis of urban traffic status. The experimental results in this paper show that the use of edge computing to fine-tune the state of urban traffic can divert traffic, greatly reduce traffic congestion, and increase traffic safety by 13%. Among them, the efficiency of road network time and space resources has also increased by 23%.
Effect of Different Membranes on Vertical Bone Regeneration: A Systematic Review and Network Meta‐Analysis
Authors: Zhang Mi , Zhou Zili , Yun Jiahao , Liu Rui , Li Jie , Chen Yimeng , Cai HongXin , Jiang Heng Bo , Lee Eui-Seok , Han Jianmin , Sun Yunhan
Published: July 2022

This study is aimed at performing a systematic review and a network meta‐analysis of the effects of several membranes on vertical bone regeneration and clinical complications in guided bone regeneration (GBR) or guided tissue regeneration (GTR). We compared the effects of the following membranes: high‐density polytetrafluoroethylene (d‐PTFE), expanded polytetrafluoroethylene (e‐PTFE), crosslinked collagen membrane (CCM), noncrosslinked collagen membrane (CM), titanium mesh (TM), titanium mesh plus noncrosslinked (TM + CM), titanium mesh plus crosslinked (TM + CCM), titanium‐reinforced d‐PTFE, titanium‐reinforced e‐PTFE, polylactic acid (PLA), polyethylene glycol (PEG), and polylactic acid 910 (PLA910). Using the PICOS principles to help determine inclusion criteria, articles are collected using PubMed, Web of Science, and other databases. Assess the risk of deviation and the quality of evidence using the Cochrane Evaluation Manual, and GRADE. 27 articles were finally included. 19 articles were included in a network meta‐analysis with vertical bone increment as an outcome measure. The network meta‐analysis includes network diagrams, paired‐comparison forest diagrams, funnel diagrams, surface under the cumulative ranking curve (SUCRA) diagrams, and sensitivity analysis diagrams. SUCRA indicated that titanium‐reinforced d‐PTFE exhibited the highest vertical bone increment effect. Meanwhile, we analyzed the complications of 19 studies and found that soft tissue injury and membrane exposure were the most common complications.