bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Properties of HGBTPU Composite Foam for Football Protection
Authors: Zhou Wei
Published: August 2022

Football is a very dangerous sport. In order to reduce the injury of athletes, we must have corresponding protective articles, and the materials used are very important. Foam material has attracted the attention of all circles for its light weight, high strength, strong absorption impact load, and good heat insulation performance. However, the mechanical properties of foam materials will decrease with the decrease of density, which limits their application in sports, especially in some sports occasions, such as motorcycle competition, football, and other sports protection. In this paper, HGB/TPU foam materials are mainly studied. The material not only has good shock absorption performance but also has light weight and good mechanical properties. It can be used as protective equipment for football. In this paper, HGB/TPU composite foam materials were prepared by extrusion foaming method using TPU and HGB as raw materials. The effects of HGB surface modification, foaming agent content, and HGB content on the cellular structure and mechanical properties of composite foams were also investigated. The experimental results show that when the foaming method is extrusion foaming, the content of HGB is 3% and the content of foaming agent is 1.5%. It has better resistance to external forces, which helps to protect athletes from serious injuries.
Control Method of Nanomaterial Numerical Control Electronic Processing Based on RBF Neural Network
Authors: Wang Haiyan , Meng Fanwei
Published: August 2022

With the rapid development of social economy and modern industry, the performance requirements of some important nanomaterials in various fields are constantly improving. The processing of these nanomaterials will have a direct impact on the development level of some core industries, such as aerospace, medical devices, and automobile manufacturing. In the early stage of the machining process, the BP neural network is generally used to control the CNC machining. However, it also has some shortcomings, such as the inability to determine the initial parameter weights according to the errors in the processing process, which limits its application in processing control. Therefore, this paper used RBF neural network to solve the problems in the process of CNC machining of nanomaterials and, at the same time, integrated RBF neural network technology into CNC electronic machining control, so as to improve the precision of CNC electronic machining of nanomaterials and avoid the occurrence of errors to the greatest extent. The method proposed in this paper used the self-learning and self-adaptive ability of RBF neural network to adjust the parameters of CNC machining control and relied on its fast convergence speed and strong approximation ability to achieve better CNC machining control effect. The experimental results showed that, after integrating the control technology of RBFNN in the CNC machining process of nanomaterials, the roundness error and roughness error of the machined workpiece were reduced by 70% and 50%, respectively. The control method proposed in this paper has high precision and strong stability.
Water Conservancy Automation Monitoring System Based on VR Image Video and Internet of Things
Authors: Che Pengfei
Published: August 2022

With the rapid development of science and technology and the widespread application of automatic control and wireless transmission technology, water conservancy automation monitoring system plays an important role in agricultural water conservancy and the automatic water conservancy monitoring system can conduct automatic water conservancy irrigation and monitor the growth of crop, greatly improving the efficiency of water resources management. However, there is still a certain gap between China and developed countries, mainly reflected in the two aspects of imperfect information resources and low level of data analysis and application, there are still technical deficiencies, and the training of high-end talents is relatively scarce, so there is still a big gap. The purpose of this article is to study the water conservancy automation monitoring system based on VR image video and the Internet of Things. This article first analyzes virtual reality technology and introduces Unity3D, the development engine of virtual reality, then introduces the Internet of Things and its key technologies, studies the classification of existing water conservancy automation systems, and then details the use of C/S Structured water conservancy automatic monitoring system. On this basis, this article combines VR and IoT technologies in the experimental part to design and implement a water conservancy automation monitoring system. Experimental results prove that the system designed in this article has certain theoretical and practical value for the development of water conservancy informatization. In this article, by creating 1000 concurrent users, the performance of the designed system is tested, and the response time of this system is 3.4 seconds.
Polysaccharides from Garlic Protect against Liver Injury in DSS-Induced Inflammatory Bowel Disease of Mice via Suppressing Pyroptosis and Oxidative Damage
Authors: Zhan Xinyi , Peng Weijie , Wang Zhuqiang , Liu Xin , Dai Weibo , Mei Quanxi , Hu Xianjing
Published: August 2022

Inflammatory bowel disease (IBD), a widespread intestinal disease threatening human health, is commonly accompanied by secondary liver injury (SLI). Pyroptosis and oxidative stress act as an important role underlying the pathophysiology of SLI, during which a large number of proinflammatory cytokines and oxidative intermediates can be produced, thereby causing the liver severely damaged. Suppression of pyroptosis and oxidative damage can be considered one of the critical strategies for SLI therapy. Garlic, a natural food with eatable and medicinal functions, is widely used in people’s daily life. There is no study about the alleviation of garlic against IBD accompanied with SLI. This study is aimed at investigating the efficacy of the polysaccharides from garlic (PSG) in treating IBD and SLI, as well as its pharmacological mechanism. The results showed that PSG significantly alleviated dextran sulfate sodium-induced IBD determined by evaluating the bodyweight loss, disease activity index, colon length, and colonic pathological examination of mice. PSG significantly reduced the colonic inflammation by reversing the levels of myeloperoxidase, diamine oxidase activity, iNOS, and COX2 and strengthened the intestinal barrier by increasing the expressions of ZO1, occludin, and MUC2 of IBD mice. Furthermore, PSG strongly alleviated SLI determined by assessing the liver morphological change, liver index, levels of ALT and AST, and liver pathological change of mice. Mechanically, PSG reduced the high levels of LPS, IL-1β, IL18, NLRP3, gasdermin D, caspase 1, ASC, TLR4, MyD88, NF-κB, phospho-NF-κB, while it increased IL-10 in the livers of mice, indicating that PSG alleviated SLI by suppressing inflammation and pyroptosis. Additionally, PSG significantly inhibited the oxidative damage in the liver tissues of SLI mice by reducing the levels of ROS, MDA, Keap-1, 8-OHDG, and phospho-H2AX and increasing the levels of GPX4, SOD2, HO1, NQO1, and Nrf2. These findings suggested that the garlic polysaccharides could be used to treat IBD accompanied with SLI in humans.
Data Sharing Method of College Dance Teaching Resource Database Based on PSO Algorithm
Authors: ZhuGe Xulong , Cao Haibin
Published: August 2022

Aiming at the problems of long sharing time, low accuracy, recall, and F1 value in the traditional data sharing method of college dance teaching resource database, a data sharing method of college dance teaching resource database based on PSO algorithm is proposed. Multiple regression KNN method is used to eliminate the data noise of college dance teaching resource database, so as to obtain the missing value and complete the filling of incomplete data of college dance teaching resource database. Taking the preprocessed data as the basic element of transmission object statistics and analysis, establish the data transmission self-service channel of college dance teaching resource database, calculate the similarity of the data according to the unequal length sequence, and use the partial least square method to complete the feature extraction of the resource database data. According to the feature extraction results, particle swarm optimization algorithm is adopted to share the data of college dance teaching resource database. The simulation results show that the accuracy, recall, and F1 value of the data sharing method of college dance teaching resource database based on PSO algorithm are high, and the sharing time is short.
Diagnostic Effectiveness of Dual Source Dual Energy Computed Tomography for Benign and Malignant Thyroid Nodules
Authors: Zhu Tong , Xie Kanglin , Wang Chongxiao , Wang Linkui , Liu Wei , Zhang Faping
Published: August 2022

Objective. To evaluate the diagnostic effectiveness of dual source dual energy computed tomography (DS-DECT) for benign and malignant thyroid nodules. Methods. Between January 2019 and December 2021, 60 patients with surgically and pathologically verified thyroid nodules treated at our institution were recruited. DS-DECT was administered to all patients. The iodine content of lesioned and normal tissues, the normalized iodine concentration (NIC) and standardized CT values of benign and malignant nodules, the consistency of examination results and pathological findings, and diagnostic effectiveness were all investigated. Results. The diagnosis accuracy was the same as that of surgical pathology, producing a 100% accuracy for the 60 patients with thyroid nodules (42 were benign and 18 were malignant). The iodine content of lesioned solid tissue differed significantly from that of normal tissue, as did the iodine content of malignant and benign nodules (

P
<
0.05

). In the arterial phase, no significant difference was found in NIC and standardized CT values between benign and malignant nodules (

P
>
0.05

). The optimal critical NIC for differentiating benign and malignant nodules in the venous phase was 0.74 and the standardized CT value was 0.79 HU according to the receiver operating characteristics (ROC) curve. Malignant nodules were diagnosed when the NIC was <0.74 and the standardized CT value was <0.79 HU, with AUC values of 0.89 and 0.93, respectively, where the sensitivity and specificity of the differential diagnosis of NIC were 90.48% (38/42) and 88.89% (16/18), respectively, and those of the differential diagnosis of standardized CT value were 92.86% (39/ 42) and 94.44% (17/18), respectively. The diagnosis accuracy of DS-DECT was 100%, and the diagnostic results of morphological characteristics and pathological testing were consistent. The sensitivity and specificity of the NIC values and standardized CT values in the venous phase differential diagnosis of benign and malignant nodules were compatible with the morphological differential diagnosis. Conclusion. DS-DECT is highly accurate in determining the benignity and malignancy of thyroid nodules and has a strong potential for clinical promotion to allow for prompt treatment.
Moral Hazard and the Demand for Dental Treatment: Evidence from a Nationally Representative Survey in Thailand
Authors: Srimuang Krichkanok , Pholphirul Piriya
Published: August 2022

Even though there are examples in the health economics literature of evidence investigating moral hazard in health insurance provided by general healthcare services, studies of moral hazard in dental care in developing countries are still scarce, especially when it comes to nationally representative data on dental care demand and expenditure. Using Thailand as a case study, we investigate here whether moral hazard in dental insurance exists and, if so, the extent to which it affects different dental insurance on the demand for dental care in developing countries. We use a nationally representative sample of 269,206 individuals to quantify the impacts of dental care insurance on four sets of dependent variables describing demand for dental care. They are: (i) dental care utilization, (ii) numbers of dental care visits, (iii) dental care expenditure, and (iv) each type of dental care. Our probit and tobit estimations show that there is no evidence of the existence of moral hazard in terms of dental care utilization and dental care expenditure. However, there is a moral hazard of dental insurance existence on the number of dental care visits and type of dental care. People with generous dental benefits coverage tend to use preventive dental treatments along with necessary treatment but also use costly restorative dental treatments more than do those with lower coverage. It can thus be concluded that, in the case of developing countries, dental care insurance is found to increase the use of dental care, especially for preventive care.
Exploration of Intelligent Teaching Methods for Ideological and Political Education in Colleges and Universities under the Background of “Mass Entrepreneurship and Innovation”
Authors: An Kaiqiang
Published: August 2022

The core subject matter of the development of innovative and entrepreneurial talents in higher vocational colleges, as well as the solution to the social employment issue, is the investigation of intelligent teaching methods for ideological and political education in colleges and universities against the backdrop of “mass entrepreneurship and innovation.” Artificial intelligence presents challenges of lack of emotion in the process of ideological and political education innovation in colleges and universities under the background of AI. AI does not provide information resources, technology, and thinking opportunities for the innovation of ideological and political education in colleges and universities. Therefore, this research presents a facial expression recognition approach based on facial recognition technology to address the emotional problem in intelligent teaching methods. This method can effectively and accurately identify the facial expressions of students during learning so that intelligent tools can identify students’ emotions in time, make corresponding adjustments quickly, and improve teaching efficiency. According to this study’s experimental findings, the facial expression recognition approach based on the upgraded AlexNet achieves an average recognition accuracy of around 75%, while the fine-tuning method based on the VGG-Face model achieves an average recognition accuracy of about 88.5%. The method based on the VGG-Face model is better suitable for face recognition in intelligent education, which can determine the status of students in real-time and alter the lesson plan, as seen by the facial expression recognition accuracy rate based on the enhanced AlexNet being 13% higher.
[Retracted] Innovation of Network Political and Ideological Education in Colleges Based on Service Concept in Network Environment
Authors: Yin Doudou
Published: August 2022

With the ongoing advancement of information technology, we must adopt the proper mindset when addressing the opportunities and difficulties that political thought education in institutions of higher learning face in the current network environment, take full advantage of the network’s benefits, and take proactive steps to address the innovation of political thought education in institutions of higher education under the network environment. Based on the field of political thought education itself, this article studies the new characteristics of political thought education communication in institutions of higher learning under the network environment, analyses the problems and causes in the process of political thought education innovation in institutions of higher learning under the network environment, and explores a number of measures to improve the innovation level of political thought education under the network environment. This article describes the significance, traits, and internal connections between network media and the innovative development of political thought education in higher education institutions and proposes a cutting‐edge course for the advancement of political thought education in higher education in the network era. In parallel, a system for early detection and evaluation of political thought education in higher education institutions is being built. The accuracy of this algorithm, according to experiments, can reach a high level of 95.31%, which is impressive. This study has served as a guide and a source of encouragement for institutions of higher learning to use network carriers to deliver political thought education.
[Retracted] The Correlation of PM2.5 Exposure with Acute Attack and Steroid Sensitivity in Asthma
Authors: Luo Jingjing , Liu Han , Hua Shucheng , Song Lei
Published: August 2022

Bronchial asthma is a common chronic inflammatory disease of the respiratory system. Asthma primarily manifests in reversible airflow limitation and airway inflammation, airway remodeling, and persistent airway hyperresponsiveness. PM2.5, also known as fine particulate matter, is the main component of air pollution and refers to particulate matter with an aerodynamic diameter of ≤2.5 μm. PM2.5 can be suspended in the air for an extensive time and, in addition, can contain or adsorb heavy metals, toxic gases, polycyclic aromatic hydrocarbons, bacterial viruses, and other harmful substances. Epidemiological studies have demonstrated that, in addition to increasing the incidence of asthma, PM2.5 exposure results in a significant increase in the incidence of hospital visits and deaths due to acute asthma attacks. Furthermore, PM2.5 was reported to induce glucocorticoid resistance in asthmatic individuals. Although various countries have implemented strict control measures, due to the wide range of PM2.5 sources, complex components, and unknown pathogenic mechanisms involving the atmosphere, environment, chemistry, and toxicology, PM2.5 damage to human health still cannot be effectively controlled. In this present review, we summarized the current knowledge base regarding the relationship between PM2.5 toxicity and the onset, acute attack prevalence, and steroid sensitivity in asthma.
Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics
Authors: Xu Chenxing , Yasenjiang Jiarula , Cui Pengfei , Zhang Shengpeng , Zhang Xin
Published: August 2022

Traditional onefold data-driven methods for fault detection in complex process industrial systems with high-dimensional, linear, nonlinear, Gaussian, and non-Gaussian coexistence often have less than satisfactory monitoring performance because only a single distribution of process variables is considered. To address this problem, a hybrid fault detection model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) is proposed, taking into account the advantages of principal component analysis (PCA), kernel principal component analysis (KPCA), independent component analysis (ICA), and kernel independent component analysis (KICA) in terms of dimensionality reduction and feature extraction. Foremost, this paper proposed a nonlinear evaluation method and divided the feature variables into Gaussian linear blocks, Gaussian nonlinear blocks, non-Gaussian linear blocks, and non-Gaussian nonlinear blocks by using the Jarque–Bera (JB) test and nonlinear discrimination method. Each division was monitored by the PCA-KPCA-ICA-KICA model, and finally the Bayesian fusion strategy proposed in this study is used to synthesize the detection results for each block. The hybrid model helps in evaluating variable features and bettering detection performance. Ultimately, the superiority of this hybrid model was verified through the Tennessee Eastman (TE) process and the Continuous Stirred Tank Reactor (CSTR) process, and the fault monitoring results showed an average accuracy of 85.91% for this hybrid model.
In Silico and In Vitro Screening Constituents of Eclipta alba Leaf Extract to Reveal Antimicrobial Potential
Authors: Sharma Rahul Kumar , Bibi Shabana , Chopra Hitesh , Khan Muhammad Saad , Aggarwal Navidha , Singh Inderbir , Ahmad Syed Umair , Hasan Mohammad Mehedi , Moustafa Mahmoud , Al-Shehri Mohammed , Alshehri Abdulaziz , Kabra Atul
Published: August 2022

Phytochemicals have been shown to possess multiple bioactives and have been reported to showcase many medicinal effects. A similar kind of evaluation of phytoconstituents for their antimicrobial action has been reported, based on in vitro and in silico data. The goal of the research was to explore bioactive phytoconstituents of Eclipta alba leaf for antimicrobial activity. The antimicrobial activity was validated by both molecular docking and antimicrobial assay. Bioactive metabolites were identified using GC-MS. The antimicrobial and antimycobacterial activity of Eclipta alba leaves was investigated using the Kirby–Bauer well diffusion method and the rapid culture—MGIT™ DST method against a variety of human pathogens, as well as Mycobacterium tuberculosis (H37Rv) and Mycobacterium tuberculosis bacteria resistant to isoniazid and rifampicin. Eclipta alba’s GC-MS studies confirmed the detection of 17 bioactive constituents. The extract demonstrates the highest antibacterial activity against Escherichia coli (sensitive), Pseudomonas aeruginosa (sensitive) and methicillin-resistant Staphylococcus aureus (MRSA), and Pseudomonas aeruginosa susceptible and MRSA (sensitive) with zone of inhibition of 27 mm, 24 mm, and 32 mm respectively. The extract showed no effect on Mycobacterium tuberculosis (H37Rv) and Mycobacterium tuberculosis bacteria resistant to isoniazid and rifampicin in antimycobacterial activity testing. Molecular docking investigation revealed that three compounds (phthalic acid, isobutyl octadecyl ester, hexadecanoic acid, 1(hydroxymethyl)1,2-ethanediylester, and 2,myristynoyl pantetheine) have generated the best results in terms of binding energies and significant interactions with key residues of target protein 3-hydroxydecanoyl-acyl carrier protein dehydratase (FabA) and confirm its activity as antimicrobial inhibitors. These two-dimensional plots show significant protein-ligand binding interactions (van der Waals interactions, hydrogen bond, alkyl, and Pi-alkyl interactions). ADMET (absorption, distribution, metabolism, excretion, and toxicity) results additionally support the drug-likeness characteristics of concluded potential compounds. The experimental and computational results demonstrated that methanolic extract of Eclipta alba leaves had antimicrobial effects for specific infections due to the presence of phytochemical compounds.
A Ferroptosis-Related Gene Signature for Predicting Survival and Immunotherapy Effect in Renal Cancer
Authors: Tong Liang , Yin Zhao-fa , Peng Liang , Li Yu-ting , Liu Rong , Cai Jia-rong , Kang Le
Published: August 2022

Background. Most recently, no efficient prognostic indictor is present for kidney cancer. Thus, we aimed to build and validate a new prognostic gene signature for renal cancer patients using the Cancer Genomic Atlas (TCGA). Methods. A “time-dependent receiver operating characteristic (tROC)” curve was generated, and a log-rank test was performed to assess the performance of the biomarker in training and validation. A “ferroptosis-related gene signature” was developed. In different training and validations sets, tROC and log-rank test were used to validate the biomarker’s performance. Results. In the training set with a

P

value less than 0.01 and the validation set, the “gene signature” was significantly correlated with survival. Eventually, it was found that the ferroptosis-related gene signature was directly correlated with immune score and the score of tumor mutation, suggesting its role in predicting response to immunotherapy. Conclusion. We developed and validated a “ferroptosis-related gene signature” that can be sued for patients with kidney cancer. It can also assist in facilitating the plan for treatment and risk stratification.
Identification of MAN1B1 as a Novel Marker for Bladder Cancer and Its Relationship with Immune Cell Infiltration
Authors: Wang Xueping , Chen Bin , Cao Yifang , He Yi , Chen Wei
Published: August 2022

Bladder cancer (BC) is a common malignant tumor of the genitourinary system, and there are not enough tumor biomarker tests that are specific, trustworthy, and noninvasive for the diagnosis and prognosis. The purpose of this study is to investigate the clinical relevance, prognostic value, and immunological signature of Mannosidase alpha class 1B member 1(MAN1B1) expressions in BC. The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases provided the raw information that was used to analyze the expression of MAN1B1 in tumor patients. Then, a statistical study was carried out to assess the correlations of MAN1B1 expression with the clinical characteristics and the prognosis of BC. The correlation between MAN1B1 expression and tumor immune infiltration was explored via single-sample gene set enrichment analysis (ssGSEA). In human cancers, MAN1B1 expressions were shown to be generally higher in tumors than in normal specimens. We confirmed that MAN1B1 expression was distinctly increased in BC specimens compared with nontumor specimens. BC specimens with advanced T stage and M stage showed a higher level of MAN1B1. Survival analysis revealed that the overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) of patients with high MAN1B1 expressions were distinctly worse than those with low MAN1B1 expressions. Importantly, multivariate analyses only confirmed that MAN1B1 expression was an independent prognostic factor for OS of the patients with BC. Furthermore, we observed that MAN1B1 expression level was significantly correlated with abundance of multiple immune infiltrates including Th2 cells, macrophages, Th1 cells, neutrophils, T helper cells, and NK CD56 bright cells. In conjunction with all of these findings, elevated MAN1B1 expression is associated with a poor prognosis and a higher number of immune cells in BC. MAN1B1 has the potential to act as a biomarker that can evaluate both the patient’s prognosis and the degree of immune infiltration in BC.
Mobile Edge Computing Application in English Teaching Classroom Evaluation System Based on BPSO Algorithm
Authors: Yu Junling
Published: August 2022

This paper proposes a multi-user and multi-MEC scenario based on mobile edge computing to maximize the overall revenue to complete the task and proposes business guarantee and resource constraints as conditions to form the optimal task offloading resource allocation problem based on the Lyapunov mobile edge computing theory. Because this problem is NP-hard problem, decoupling is proposed as a solution to the channel resource allocation problem, which is solved by the KKT task allocation condition and the 0-1 integer programming problem. Aiming at the high-speed mobile terminal scene, a high-speed unloading algorithm is proposed, which explains the task unloading system model in the high-speed mobile terminal scene. The task offloading algorithm first allocates several subtasks according to the number of MEC servers and the remaining available resources of the MEC servers. At the same time, taking campus as an example, the English teaching classroom evaluation application uses the big data evaluation scale to complete the evaluation and uses statistical software to test the reliability of the evaluation results. Based on the analysis results, it summarizes and reflects on the education evaluation index system and puts forward suggestions for improving the evaluation system and implementing the English education guarantee mechanism. This paper uses the research of mobile edge computing resources to allocate big data and applies it to the application of English teaching classroom evaluation, thereby promoting the rapid development of classroom teaching.
Blood Biomarkers Predict Survival Outcomes in Patients with Hepatitis B Virus-Induced Hepatocellular Carcinoma Treated with PD-1 Inhibitors
Authors: Huang Rui , Zheng Yanfen , Zou Wenxue , Liu Chao , Liu Jibing , Yue Jinbo
Published: August 2022

Purpose. To investigate the prognostic value of blood markers in patients with hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC) treated with PD-1 inhibitors. Patients and Methods. We retrospectively collected and analyzed the clinicopathological data of 110 HBV-induced HCC patients treated with PD-1 inhibitors. Progression-free survival (PFS) and overall survival (OS) were scrutinized using Kaplan-Meier analysis and the log-rank test, and all potential risk factors were analyzed with univariate and multivariate Cox regression analyses. Results. The mean OS and PFS were 6.5 and 5.5 months, respectively. According to Kaplan-Meier survival curves, elevated systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) correlated with decreased OS and PFS (all

P
<
0.05

), and low lymphocyte-to-monocyte ratio (LMR) correlated with decreased PFS and OS (all

P
<
0.05

). Per multivariate Cox regression analyses, SII, PLR, and portal vein tumor thrombus (PVTT) correlated independently with PFS (all

P
<
0.05

), whereas SII, PLR, NLR, and portal vein tumor thrombus (PVTT) correlated with OS (all

P
<
0.05

). Conclusion. SII, PLR, and PVTT predicted OS and PFS in HCC patients who received PD-1 inhibitors and, therefore, could be useful predictors for risk stratification and individualized therapeutic decision-making for patients with HBV-induced HCC treated with PD-1 inhibitors.
CCAAT/Enhancer-Binding Protein Delta Regulates Glioblastoma Survival through Catalase-Mediated Hydrogen Peroxide Clearance
Authors: Lin Hong-Yi , Lim Sher-Wei , Hsu Tsung-I , Yang Wen-Bin , Huang Chi-Chen , Tsai Yu-Ting , Chang Wen-Chang , Ko Chiung-Yuan
Published: August 2022

It has long been documented that cancer cells show increased and persistent oxidative stress due to increased reactive oxygen species (ROS), which is necessary for their increased proliferative rate. Due to the high levels of ROS, cancer cells also stimulate the antioxidant system, which includes the enzymes superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPX), to eliminate ROS. However, overexpressed antioxidant enzymes often lead to drug resistance and therapeutic failure. Glioblastoma (GBM) is the most aggressive brain tumor and has the poorest prognosis. The transcription factor CCAAT/enhancer-binding protein delta (CEBPD) is highly expressed in GBM and correlates with drug resistance, prompting us to elucidate its role in GBM cell survival. In this study, we first demonstrated that loss of CEBPD significantly inhibited GBM cell viability and increased cell apoptosis. Furthermore, the expression of CAT was attenuated through promoter regulation following CEBPD knockdown, accelerating intracellular hydrogen peroxide (H2O2) accumulation. In addition, mitochondrial function was impaired in CEBPD knockdown cells. Together, we revealed the mechanism by which CEBPD-mediated CAT expression regulates H2O2 clearance for GBM cell survival.
Identification and Validation of Prognostic Markers for Lung Squamous Cell Carcinoma Associated with Chronic Obstructive Pulmonary Disease
Authors: Li Zheng , Xu Dan , Jing Jing , Wang Jing , Jiang Min , Li Fengsen
Published: August 2022

Background. Globally, the incidence and associated mortality of chronic obstructive pulmonary disease (COPD) and lung carcinoma are showing a worsening trend. There is increasing evidence that COPD is an independent risk factor for the occurrence and progression of lung carcinoma. This study aimed to identify and validate the gene signatures associated with COPD, which may serve as potential new biomarkers for the prediction of prognosis in patients with lung carcinoma. Methods. A total of 111 COPD patient samples and 40 control samples were obtained from the GSE76925 cohort, and a total of 4933 genes were included in the study. The weighted gene coexpression network analysis (WGCNA) was performed to identify the modular genes that were significantly associated with COPD. The KEGG pathway and GO functional enrichment analyses were also performed. The RNAseq and clinicopathological data of 490 lung squamous cell carcinoma patients were obtained from the TCGA database. Further, univariate Cox regression and Lasso analyses were performed to screen for marker genes and construct a survival analysis model. Finally, the Human Protein Atlas (HPA) database was used to assess the gene expression in normal and tumor tissues of the lungs. Results. A 6-gene signature (DVL1, MRPL4, NRTN, NSUN3, RPH3A, and SNX32) was identified based on the Cox proportional risk analysis to construct the prognostic RiskScore survival model associated with COPD. Kaplan–Meier survival analysis indicated that the model could significantly differentiate between the prognoses of patients with lung carcinoma, wherein higher RiskScore samples were associated with a worse prognosis. Additionally, the model had a good predictive performance and reliability, as indicated by a high AUC, and these were validated in both internal and external sets. The 6-gene signature had a good predictive ability across clinical signs and could be considered an independent factor of prognostic risk. Finally, the protein expressions of the six genes were analyzed based on the HPA database. The expressions of DVL1, MRPL4, and NSUN3 were relatively higher, while that of RPH3A was relatively lower in the tumor tissues. The expression of SNX32 was high in both the tumor and paracarcinoma tissues. Results of the analyses using TCGA and GSE31446 databases were consistent with the expressions reported in the HPA database. Conclusion. Novel COPD-associated gene markers for lung carcinoma were identified and validated in this study. The genes may be considered potential biomarkers to evaluate the prognostic risk of patients with lung carcinoma. Furthermore, some of these genes may have implications as new therapeutic targets and can be used to guide clinical applications.
Machine Learning-Based Aesthetic Music Education Informatics Assessment Method
Authors: Li Yanjing
Published: August 2022

Purpose. An instrumental mechanism for the identification, theoretical substantiation, and introduction of didactic conditions is a dynamic functional-structural model that performs orientation, managerial, formative, and analytical functions in the optimal organization of students’ independent educational activity with the use of information and communication technologies. Method. During the research, a comprehensive target program of research and experimental work was developed, which was based on the step-by-step implementation of the didactic model, and its effectiveness was proved. Findings. The integration of traditional and electronic learning technologies within the framework of research and experimental work ensured systematic, planned, optimized organization, and enhanced control and diagnostic procedures of students’ autonomous skills due to the requirements of manufacturability, adaptability, and control laid down in the tried-and-tested models of blended learning. Following the completion of the experimental work, quantitative, qualitative, and statistical analyses revealed positive dynamics in the levels of organization of independent educational activity of students of technological and pedagogical specialties with the use of information and communication technologies in motivational, content, operational, and productive criteria in the experimental group. Implications for Research and Practice. According to the results of experimental work in the experimental groups, statistically significant positive dynamics were recorded: 10% more students became with a high level of organization of independent educational activity, 13.3% ones were with a sufficient level, thus a number of students with indicators of critical and insufficient levels decreased on 23.3%.
Long-Term Mechanism and Fitness Impact of Rural Sports Precision Poverty Alleviation Based on Improved Decision Tree
Authors: Ma Zhen , Ma Yanping
Published: August 2022

In the process of the development of sports resources, the first step is to strengthen mechanism construction, including the government and the market “- poor areas” tripartite coordination mechanism, the development of sports resource development policy supervision mechanism, sports resource development precision poverty alleviation mechanism, legal protection mechanism, and accountability mechanism. The establishment of the fitness model recommendation model is realized. The fitness pattern recommendation model itself is a multibranch decision tree model. Therefore, as long as it is a variety of fitness methods, according to different classification, in the fitness database to add the corresponding classification, this is helpful to build a multibranch decision tree model.
Big Data Logistics Service Supply Chain Innovation Model Based on Artificial Intelligence and Blockchain
Authors: Zhang Xin , Shi Xiaomin , Pan Wenan
Published: August 2022

Blockchain technology is widely used in various fields according to its programmable advantages. Such technology has several typical characteristics, such as openness, automation, independence, security, sharing, and modularity. The logistics system is greatly beneficial from such characteristics. Therefore, blockchain technology can provide core technical support for the construction of logistics supply chain system. In this paper, we focus on the current demands of “blockchain + logistics” business system and reduce half risks in the supply chain through decentralization and detrusting of blockchain technology. Finally, experimental results show that it has a certain practical significance for the adjustment of the strategic layout and sound development of supply chain logistics.
Green Finance Evaluation Based on Neural Network Model
Authors: Wang Ke
Published: August 2022

The weights of green finance indicators are established in accordance with the AHP in order to suggest an evaluation system that is more thorough and reasonable and to construct an evaluation index system. The findings indicate that the growth of urban green finance is more closely correlated with the development of environmental protection businesses, capital allocation efficiency, and governmental and social capital support. Regulation of consumption also has a significant impact. In order to encourage the growth of urban green finance, this paper analyzes the scoring outcomes and changes for each city and offers solutions and recommendations.
Design and Application of Spatial Experience System for Urban Village Reconstruction Based on GIS
Authors: Chen Weiwei
Published: August 2022

This paper takes the village in the city as a case study, through the investigation of the basic information of the village in the city, such as housing construction, construction quality, property rights characteristics, and so on. We use GIS technology to evaluate the construction and reconstruction cost of the plot. This paper puts forward different transformation schemes and explores the application of GIS technology in the transformation planning of urban villages. Finally, this paper designs a GIS-based spatial experience system for micro-transformation of urban villages.
Development of Cultural and Creative Industries and the Innovation of Packaging Design under the Background of Big Data
Authors: Liu Sisi
Published: August 2022

In recent years, the strong growth of cultural and creative industries has led to its occupying an increasingly important position in the social economy. The inheritance and development of traditional art forms are one of the most important sources of materials for the cultural and creative industries. Product packaging is an important part of visual communication. Under the influence of the rapid development of cultural and creative industries, packaging design has a new development trend. In addition to satisfying basic functions such as protection and transportation, today’s packaging design has also been endowed with some new connotations. The article analyzes the development status and outstanding problems of Chinese packaging design. Combined with the significance of cultural and creative industries to packaging design, innovative explorations were carried out on various elements in the process of packaging design. The study found that in the analysis of the contribution of cultural and creative industries to the economy, the cultural and creative industries of City A have been showing a growth trend since 2015. And among the design concepts of environmental protection, emotional attention, and integration of Chinese and Western design concepts selected in packaging design, more than 80% of consumers agree to integrate environmental protection concepts into packaging design. A total of 67% of the public are in favor of incorporating the concept of emotional care into the design. A total of 54% of the public agree with the design concept of combining Chinese and Western. Understanding the preferences of customers is beneficial to making packaging design a highlight of product sales.
ATO/Polyaniline/PbS Nanocomposite as Highly Efficient Photoelectrode for Hydrogen Production from Wastewater with Theoretical Study for the Water Splitting
Authors: Khalafalla Mohammed A. H. , Hadia N. M. A. , Elsayed Asmaa M. , Alruqi Mansoor , El Malti Wassim , Shaban Mohamed , Rabia Mohamed
Published: August 2022

Polyaniline-assisted deposition of PbS is carried out on antimony tin oxide (ATO) glass for ATO/PANI/PbS composite formation. The deposition of PbS was carried out inside and outside the polymer chains using the ionic adsorption deposition process. Various analyses were conducted to confirm the chemical structure and morphological, optical, and electrical properties of the resulting composite. TEM and SEM analyses demonstrated the spherical shape of PbS particles inside and outside the PANI network with more dark or white color, respectively. Moreover, the ImageJ program confirmed the composite formation. The XRD characterization showed the shifts in the PANI peaks after the composite formation with the appearance of a new additional peak related to PbS nanoparticles. The optical analyses were massively enhanced after the composite formation with more broadening in the Vis region at 630 nm, in which there was more enhancement in the bandgap that reached 1.5 eV. The electrode application in the H2 generation process was carried out from wastewater (sewage water, third treatment) without any additional sacrificing agent. The electrode responded well to light, where the current density ([Formula: see text]) changed from 10-6 to 0.13 mA.cm-2 under dark and light, respectively. The electrode had high reproducibility and stability. The numbers of generated H2 moles were 0.1 mmol/cm2.h. The produced [Formula: see text] and [Formula: see text] were 7.3 kJ/mol and 273.4 J/mol.K, respectively. Finally, the mechanism explains the H2 generation reaction using three-electrode cell.
Comparison of Effectiveness and Safety between High-Power Short-Duration Ablation and Conventional Ablation for Atrial Fibrillation: A Systematic Review and Meta-Analysis
Authors: Jin Shuyu , Fu Lu , Jiang Junrong , Ye Xingdong , Liu Huiyi , Chen Yanlin , Pu Sijia , Wu Shulin , Xue Yumei
Published: August 2022

Aim. We aimed to evaluate the effectiveness and safety between high-power short-duration (HPSD) radiofrequency ablation (RFA) and conventional RFA in patients with atrial fibrillation (AF). Methods. Studies comparing HPSD and traditional applications in patients undergoing initial catheter ablation for atrial fibrillation from inception through December 2021 were searched on Pubmed, Medline, Cochrane, and Clinicaltrials.gov. Results. The meta-analysis included seventeen studies with a total of 4934 patients. HPSD group decreased procedure duration (mean difference (MD) −38.28 min,

P
<
0.001

), RF duration (MD −20.51 min,

P
<
0.001

), fluoroscopy duration (MD −5.19 min,

P
<
0.001

), and acute pulmonary vein reconnection (Odds ratio (OR) 0.40,

P
<
0.001

), while improving the freedom from atrial arrhythmia at one year (OR 1.48, 95% confidence interval (CI) 1.12–1.94,

P
=
0.005

) and rates of first-pass isolation (OR 8.92,

P
=
0.001

). Compared with the conventional group, freedom from atrial arrhythmia at one-year follow-up was higher in the HPSD group without the guidance of AI/LSI (OR 1.66,

P
=
0.01

) and studies with a power setting of 40–50 W (OR 1.93,

P
=
0.002

). Nevertheless, the two groups had similar effectiveness with a power setting of 50 W in the HPSD RFA (OR 1.10,

P
=
0.52

). There was no difference in complications between the two groups (

P
=
0.71

). Conclusion. HPSD RFA was associated with shorter procedure duration, higher freedom from atrial arrhythmia, and comparable safety compared to conventional RFA.
Macrophage Infiltration Reduces Neurodegeneration and Improves Stroke Recovery after Delayed Recanalization in Rats
Authors: Pang Jinwei , Matei Nathanael , Peng Jianhua , Zheng Wen , Yu Jing , Luo Xu , Camara Richard , Chen Ligang , Tang Jiping , Zhang John H. , Jiang Yong
Published: August 2022

Background. Recent cerebrovascular recanalization therapy clinical trials have validated delayed recanalization in patients outside of the conventional window. However, a paucity of information on the pathophysiology of delayed recanalization and favorable outcomes remains. Since macrophages are extensively studied in tissue repair, we anticipate that they may play a critical role in delayed recanalization after ischemic stroke. Methods. In adult male Sprague-Dawley rats, two ischemic stroke groups were used: permanent middle cerebral artery occlusion (pMCAO) and delayed recanalization at 3 days following middle cerebral artery occlusion (rMCAO). To evaluate outcome, brain morphology, neurological function, macrophage infiltration, angiogenesis, and neurodegeneration were reported. Confirming the role of macrophages, after their depletion, we assessed angiogenesis and neurodegeneration after delayed recanalization. Results. No significant difference was observed in the rate of hemorrhage or animal mortality among pMCAO and rMCAO groups. Delayed recanalization increased angiogenesis, reduced infarct volumes and neurodegeneration, and improved neurological outcomes compared to nonrecanalized groups. In rMCAO groups, macrophage infiltration contributed to increased angiogenesis, which was characterized by increased vascular endothelial growth factor A and platelet-derived growth factor B. Confirming these links, macrophage depletion reduced angiogenesis, inflammation, neuronal survival in the peri-infarct region, and favorable outcome following delayed recanalization. Conclusion. If properly selected, delayed recanalization at day 3 postinfarct can significantly improve the neurological outcome after ischemic stroke. The sanguineous exposure of the infarct/peri-infarct to macrophages was essential for favorable outcomes after delayed recanalization at 3 days following ischemic stroke.