bluuebunny/crossref_metadata_2025 huggingface dataset:
Signal Control Adaptive Model Based on Microtransformation of Urban Street Space
Authors: Zhao Cheng , Xun Yi , Qi Lixin
Published: September 2022

Cities need to develop, people’s lives need to be improved, and the living environment needs to be enhanced. With the strengthening of the national policy of paying attention to people’s livelihood, the speed of development, the increase of the number of cars, and the major demolition and construction of streets are in full swing everywhere. However, traffic congestion has become a serious social problem, which greatly affects economic development and people’s daily life. Therefore, the study of signal coordination control of urban traffic arteries has become an urgent problem for all countries. In this paper, after a brief introduction of the basic concepts and related technologies of traffic control systems, we focus on the arterial coordinated control system. The adaptive control model studied in this paper reveals the vehicle arrival dynamics from a microscopic perspective, which helps to improve the adaptive control effect and alleviate urban intersection congestion. The use of traffic information acquisition and control systems can promote the application of vehicle networking technology, while moreover helping to provide important model simulations for future street simulation renovation.
A Deep Learning-Based Programming and Creation Algorithm of NFT Artwork
Authors: Wang T.
Published: September 2022

In the field of computer vision, it is a very challenging task to use artificial intelligence deep learning method to realize the programming and creation of NFT artwork. With the continuous development and improvement of deep learning technology, this task has become a reality. The generative adversarial network model used in deep learning can generate new images based on the extraction and analysis of image data features and has become an important tool for NFT artwork image generation. In order to better realize the NFT artwork programming, this paper analyzes the working principle of the traditional adversarial generation method and then uses the StyleGAN model to edit the higher-level attributes of the image, which can effectively control the generated style and style of the NFT artwork image. Finally, in order to improve the quality of the generated images, this paper introduces a channel attention mechanism and a spatial attention mechanism to ensure that the generated images are more reasonable and realistic. Finally, through a large number of experiments, it is proved that the NFT artwork transmission programming algorithm based on artificial intelligence deep learning proposed in this paper can control the overall style of image generation according to the needs of the transmission, and the generated image features have good details and high visual quality.
A Study on the Fractal-Fractional Epidemic Probability-Based Model of SARS-CoV-2 Virus along with the Taylor Operational Matrix Method for Its Caputo Version
Authors: Rezapour Shahram , Etemad Sina , Avcı İbrahim , Ahmad Hijaz , Hussain Azhar
Published: September 2022

SARS-CoV-2 is a strain of the large coronavirus family that has led to COVID-19 disease. The virus has been one of the deadliest known viruses in the world to date. Rapid mutations and the creation of new strains cause researchers to focus on the dynamic behaviors of the virus and to analyze it accurately through clinical research and mathematical models. In this paper, from the point of view of mathematical modeling, we intend to focus on the dynamic behavior of the system and examine its analytical and numerical aspects in two different structures. In other words, by recalling newly formulated hybrid fractional-fractal operators, we present a fractal-fractional probability-based model of SARS-CoV-2 virus for the first time and extract its equivalent compact fractal-fractional IVP to investigate its existence and stability criteria. A type of special admissible contractions will help us in this regard. Moreover, based on the source data, we simulate our system according to algorithms derived by Adams-Bashforth method and explain the effects of variation of the dimension of fractal and fractional order on dynamics of solutions. Finally, we transform our fractal-fractional model into a Caputo probability-based model of SARS-CoV-2 to derive solutions via the operational matrix method under Taylor’s basis. The numerical simulations show close behaviors for both of models.
[Retracted] Analysis of Teaching Effect of Korean Education Course Based on Data Acquisition Technology
Authors: Suo Baoli , Zhang Tao
Published: September 2022

Teaching evaluation is a comprehensive judgment of teachers’ teaching effect and students’ learning outcomes. It is an essential basis for comprehensive curriculum reform. There are many teaching evaluation systems for Korean majors, generally based on teachers’ behavior discrimination and ignoring students’ learning process and effect. The existing teaching evaluation system has problems such as heavy workload, slow calculation speed, and intense subjectivity. Based on the characteristics of Korean courses, this study constructs a teaching rating system for Korean courses in universities centered on language learning through data collection, correlation analysis, association rules, and other methods to optimize the student teaching evaluation index. At the same time, the machine learning algorithm is introduced into the teaching evaluation process to construct the teaching evaluation model and realize the automation of the teaching evaluation process. The weighted Bayesian incremental learning method is used to solve the cumulative problem of data acquisition samples. The experimental results show that the accuracy rate of classification using the weighted naive Bayesian algorithm to construct the model can reach 75%. Obviously, due to the traditional Bayesian algorithm and BP neural network algorithm, it is suitable for the teaching evaluation model of Korean majors. It provides a theoretical basis for the development of language education informatization.
[Retracted] Accident Liability Determination of Autonomous Driving Systems Based on Artificial Intelligence Technology and Its Impact on Public Mental Health
Authors: Xiao Yineng , Liu Zhao
Published: September 2022

With the rise of self‐driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self‐driving vehicles has been gradually paid attention to. The determination of tort liability subject of traffic accidents of self‐driving cars is different from that of ordinary motor vehicle traffic accident tort, which challenges the application of traditional fault liability and product liability. The tort issue of self‐driving cars should be discussed by distinguishing two kinds of situations: assisted driving cars and highly automated driving, and typological analysis of each situation is needed. When the car is in the assisted driving mode, the accident occurs due to the quality defect or product damage of the self‐driving car, and there is no other fault cause; then, the producer and seller of the car should bear the product liability according to the no‐fault principle; if the driver has a subjective fault and fails to exercise a high degree of care; the owner and user of the car should bear the fault liability. This paper analyzes the study of the impact of autonomous driving public on public psychological health, summarizes the key factors affecting the public acceptance of autonomous driving, and dissects its impact on public psychological acceptance. In order to fully study the responsibility determination of autonomous driving system accidents and their impact on public psychological health, this paper proposes an autonomous driving risk prediction model based on artificial intelligence technology, combined with a complex intelligent traffic environment vehicle autonomous driving risk prediction method, to complete the risk target detection. The experimental results in the relevant dataset demonstrate the effectiveness of the proposed method.
Simulation of Film and Television Transmission Path Based on Ant Colony Optimization Algorithm
Authors: Zhao Xiyu
Published: September 2022

Aiming at the stagnation and precocity of the basic ant colony algorithm in solving the film and television transmission path problem, an ant colony optimization algorithm with forgetting factor is proposed. By adding forgetting factor to artificial ants, a new state transition formula is established, and pheromone update strategy is modified. Combined with the optimal error rate of the current solution, the state transition equation is adjusted. Due to the introduction of the forgetting factor, the new formula can be adjusted in time when the original ant colony algorithm calculation falls into the local optimal solution, and the selection and updation of the next node are carried out according to the new state transition scheme. Pheromone, which can be used to reduce the optimal value error, improves the tracking ability of the optimal value, modifies the path evaluation model, and calculates the probability of each path to the current optimal solution. The simulation results of the film transmission path problem (FTPP) example show that the improved algorithm takes less time and the result of path optimization is better.
Information Security Decisions with Consideration of Hacker Intrusion Propagation
Authors: Zhao Liurong , Zhou Xinyu , Li Jiao
Published: September 2022

The spread of network attacks is extremely harmful, which poses a great threat to the assets and reputation of firms. Therefore, making a scientific information security strategy is an important task for the continued and stable development of the firms. This paper develops the SIR model of hacker intrusion propagation and then analyzes the evolution trend of hacker intrusion propagation and the conditions of strategy transfer. The research shows that when immune failure and strategy transfer are not considered, the threshold of hacker intrusion propagation is negatively correlated with the probability of invasion, whereas it is positively correlated with the probability of defense success and the externality during outsourcing. In the case of immune failure, there will always be infected firms in the network, where the threshold of hacker intrusion propagation is affected by the proportion of the infected state and the probability of immune failure. When immune failure and strategy transfer occur simultaneously if the externality is positive and high, information security outsourcing can improve firms’ security benefits; if the externality is negative, the firms should stop cooperating with the managed security service provider (MSSP).
Empirical Evaluation of Iranian CIO Perspective with Adoption of Green Information Technology
Authors: Hejri Farkhondeh Mortaz , Radfar Reza , Zohrabi Masoud , RabieiPakdeh Zeynab
Published: September 2022

In recent decades, green aspects became a key priority for governments worldwide, as sustainable policies are able to promote a more equitable society and a healthier economy from the social, economic, and environmental perspectives, in addition to preserving natural resources for future generations. As an essential context in information technology management, green information technology (GIT) has been developed to cope with the existing environmental problems through organizations. The present study is aimed at identifying the influential factors of decision‐making on the adoption of GIT. To collect the required data, interviews were performed along with a structured survey. A total of 112 questionnaires were delivered to chief information officers (CIOs), 99 of which underwent the analysis. The structural equation and partial least square approaches were adopted for data analysis. GIT driver (G‐driver) was found to be an intermediary parameter. Findings revealed the GIT readiness (G‐readiness) and GIT context (G‐context) result in in GIT adoption whenever there was a G‐driver indicator (i.e., ethical driver, economic driver, response driver, or regulatory driver). The present study found the significance of all the variables to be above 1.96 except G‐context −> green intention to adoption path and G‐readiness −> green intention to adoption. Considering that the determination of coefficients and the analysis of relationships between factors directly depends on the opinion of experts and if the opinion of expert’s changes, the results will also change; this can be mentioned as the most important limitation of the research. Therefore, it should be noted that the largest impact was identified to be posed by the economical driver.
Ginsenoside Rg1 Ameliorates Acute Renal Ischemia/Reperfusion Injury via Upregulating AMPKα1 Expression
Authors: Zhou Qing , He Xinlan , Zhao Xiaoyu , Fan Qigui , Lai Songqing , Liu Dan , He Huan , He Ming
Published: September 2022

Acute renal ischemia/reperfusion (I/R) injury often occurs during kidney transplantation and other kidney surgeries, and the molecular mechanism involves oxidative stress. We hypothesized that ginsenoside Rg1 (Rg1), a saponin derived from ginseng, would protect the renal tissue against acute renal I/R injury by upregulating

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adenosine monophosphate-activated protein kinase α1 (AMPKα1) expression and inhibiting oxidative stress. The models of acute anoxia/reoxygenation (A/R) damage in normal rat kidney epithelial cell lines (NRK-52E) and acute renal I/R injury in mice were constructed. The results revealed that pretreatment with 25 μM Rg1 significantly increased NRK-52E viability, decreased lactate dehydrogenase (LDH) activity and apoptosis, suppressed reactive oxygen species generation and oxidative stress, stabilized mitochondrial membrane potential and reduced mitochondria permeability transition pore openness, decreased adenosine monophosphate/adenosine triphosphate ratio, and upregulated the expression of AMPKα1, cytochrome b-c1 complex subunit 2, NADH dehydrogenase (ubiquinone) 1 beta subcomplex subunit 8, and B-cell lymphoma 2, while downregulating BCL2-associated X protein expression. The effects of Rg1 pretreatment were similar to those of pAD/Flag-AMPKα1. After acute renal I/R injury, serum creatinine, blood urea nitrogen, LDH activity, and oxidative stress in renal tissue significantly increased. Rg1 pretreatment upregulated AMPKα1 expression, which protects against acute renal I/R injury by maintaining renal function homeostasis, inhibiting oxidative stress, and reducing apoptosis. Compound C, a specific inhibitor of AMPK, reversed the effects of Rg1. In summary, Rg1 pretreatment upregulated AMPKα1 expression, inhibited oxidative stress, maintained mitochondrial function, improved energy metabolism, reduced apoptosis, and ultimately protected renal tissue against acute renal I/R injury.
Synthesis, Growth, and Characterization of Methyl Orange Dye-Doped Potassium Sulphate Single Crystal and Its Multifaceted Activities
Authors: Jini D. , Aravind M. , Ajitha S. , Parvathiraja C. , Muniyappan M. , Vivekanand P. A. , Kamaraj P. , Arumugam Natarajan , Almansour Abdulrahman I. , Arulnangai R. , Kumar Raju Suresh , Perumal Karthikeyan , Gonfa Girma
Published: September 2022

Methyl orange dye-doped K2SO4 single crystal has been synthesized by a slow evaporation method, and its properties have been investigated. The powder X-ray diffraction (PXRD) studies on the single crystal confirmed the crystalline property, noncentrosymmetric system, and the space group P63/mmc (D64th) of crystal. The reaction involved in the functional group of the grown crystal has been confirmed from the FTIR analysis. The optical properties of absorbance and band gap were calculated from the UV-Vis analysis. The obtained materials were identified from the EDX analysis. The electron transformation and optical distortion were identified at 270 nm in the photoluminescence study. The transmission electron microscopy method analyzed the morphology of the grown crystal. The dielectrics of the grown crystal were studied. The effect of temperature on the grown crystal was studied using the TG/DTA analysis. The bacterial susceptibility of the grown crystal was evaluated from Gram-positive and Gram-negative bacteria. All the results demonstrated that the grown crystal is suitable for optical, electronic, and bacterial applications.
Foreground Detection Based on Superpixel and Semantic Segmentation
Authors: Feng Junying , Liu Peng , Kim Yong Kwan
Published: September 2022

Foreground detection is an essential step in computer vision and video processing. Accurate foreground object extraction is crucial for subsequent high-level tasks such as target recognition and tracking. Although many foreground detection algorithms have been proposed, foreground detection in complex scenes is still a challenging problem. This paper presents a foreground detection algorithm based on superpixel and semantic segmentation. It first uses multiscale superpixel segmentation to obtain the initial foreground mask. At the same time, a semantic segmentation network is applied to separate potential foreground objects, and then use the defined rules to combine the results of superpixel and semantic segmentation to get the final foreground object. Finally, the background model is updated with the refined foreground result. Experiments on the CDNet2014 dataset demonstrate the effectiveness of the proposed algorithm, which can accurately segment foreground objects in complex scenes.
Sufentanil for Spinal Analgesia during Cesarean Section Delivery: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Huang Hongming , Wang Shiwu , Lin Rujun , He Zhongrun
Published: September 2022

Objective. To investigate the effect of sufentanil for spinal analgesia during cesarean section. Method. Eligible papers were systematically retrieved from PubMed, Embase, Ovid, and ScienceDirect. Two researchers independently extracted primary and secondary endpoints to compute relative risk and mean difference by using the random-effects model or the fixed-effects model, as appropriate. Publication bias was quantified and assessed using funnel plot and Egger’s test. Result. A total of 8 publications with 503 pregnant women were included in this study for meta-analysis. Subarachnoid administration of sufentanil did not significantly reduce the onset time of sensory block and motor block. Nonetheless, subarachnoid administration of sufentanil significantly increased the incidence of postoperative skin pruritus (RR = 5.25, 95%CI: 1.90, 14.49,

P
<
0.001

). Conclusion. Subarachnoid administration of sufentanil has no significant difference in the combined effect value of shortening the onset time of sensory block and motor block, prolonging the onset time of local anesthesia and the incidence of some adverse reactions (such as postoperative nausea, vomiting, hypotension, and tremors). However, the incidence of skin pruritus was significantly increased, and the difference was statistically significant. Because of this, the drug still needs to be used with caution in combination with the actual situation in clinical use.
Truncation Multiplier‐Based Cognitive Radio Spectrum Analyzer for Nanomedical Applications
Authors: Kumareshan N. , Umashankar A. , Verma Manoj , Gnanasaravanan Subramaniam , Kumaran G. , Vimalnath S. , Vignesh N. Arun , Santhosh A. Johnson
Published: September 2022

The electromagnetic spectrum is one of nature’s meagre resources. The requirements of wireless communication cannot be satisfied by the new spectrum allocation plan. A policy of self‐driven spectrum allocation results as a result. Cognitive radio (CR) engineering is a brilliant technique to maximise spectrum utilisation in rapidly changing environments by identifying unusable and underutilised bandwidth. One of the information strategies of intellectual radio is range detecting, which uses self‐persuaded range allocation techniques to use open range to determine the existence of critical clients in the approved recurrence band. Energy location and cyclostationary highlight recognition are the two main factors that determine range detection. Energy recognition is a key method of range detection, but it becomes discouraging at low signal to noise ratios. With a cost of the highest degree of execution complexity, the critical cyclostationary highlight recognition based on cyclic range assessment may successfully identify weak signs from crucial clients. This project is aimed at implementing a useful range detecting mechanism in a field programmable door show with meticulous precision for CR. The adaptive absolute‐self‐coherent‐restoral algorithm, specifically using the truncation multiplier, is a new spectrum sensing system. The proposed architecture, which makes use of a truncation multiplier, was created using the Xilinx approach. This study suggests an efficient spectrum sensing technique that makes use of the Adaptive Absolute Score (AAS) algorithm and SQRT‐based Carry Select Adder (CSLA). The TM‐CSLA design includes 228 LUT for the Spartan 6 device, which is fewer than the other architectures.
[Retracted] An Analysis of Students’ Work Values Education Strategies and Environment Based on Psychological Contract
Authors: Dai Wujun
Published: September 2022

An implicit agreement between people and organizations is known as a psychological contract. It represents what each party anticipates from the other in terms of giving and receiving. The psychological contract theory has forced ideological and political educators to adapt their ideas and develop new teaching strategies. The psychological expectations of the educatees can be fully mobilized and the value orientation of both sides tends to be consistent through the creation of a strong psychological contract between the educators on both sides, which will help to increase the efficacy of ideological and political education. There is theoretical and empirical support for the organizational remedy after a psychological contract breach. Student work is intended to meet the individual needs of students or the needs of society, resulting in two completely distinct values, namely, values based on individuals and values based on societies. Students’ work in the new era should be a harmonious blend of personal values and social values. In the study, students’ work values fluctuated about 70% of the time, and psychological contracts had a significant impact on those work values. In the past 50 years, the psychological contract theory has seen the development and refinement of its theoretical framework, the clear definition of its content and organizational principles, the behavior research following psychological contract rupture and breach, the establishment and compensation of psychological contracts, and more. The process of organization management has benefited from the continuous concretization and expansion of its application field as a management theory and method.
Three-Dimensional Numerical Simulation of Soil Deformation during Shield Tunnel Construction
Authors: Liu Chenglong , Yang Shaoyu , Liu Weijing , Wang Zhenyong , Jiang Yusheng , Yang Zhiyong , Jiang Hua
Published: September 2022

In order to effectively control the ground deformation and ground subsidence during subway construction, three-dimensional numerical simulation of soil deformation during shield tunnel construction is proposed. Based on a subway tunnel project, this essay firstly divides the shield construction process into several stages and analyzes the vertical displacement of soil in each stage. FLAC 3D was used for three-dimensional finite difference numerical simulation. By comparing the numerical simulation results with the field measured data, the soil settlement caused by shield tunnel excavation is studied deeply. The simulation results show that the maximum settlement value of the monitoring data is 0.59 mm, and the maximum settlement value of the numerical simulation is 0.82 mm, with a difference of 0.23 mm. The maximum value of uplift on both sides of the tunnel is 0.41 mm in monitoring data and 0.29 in numerical simulation, with a difference of 0.12 mm. The maximum settlement value of monitoring data is 2.59 mm, and the maximum settlement value of numerical simulation is 3.05 mm, with a difference of 0.46 mm. The maximum value of uplift on both sides of the tunnel is 0.32 mm in monitoring data and 1.89 mm in numerical simulation, with a difference of 1.57 mm. The settlement value of numerical simulation is slightly larger than that of monitoring data. Conclusion. The simulation can well simulate the state of soil uplift on both sides, and the width of settlement groove is in good agreement with the monitoring data.
Anti-Inflammatory Activity of Ferula assafoetida Oleo-Gum-Resin (Asafoetida) against TNF-α-Stimulated Human Umbilical Vein Endothelial Cells (HUVECs)
Authors: Mobasheri Leila , Khorashadizadeh Mohsen , Safarpour Hossein , Mohammadi Maryam , Anani Sarab Gholamreza , Askari Vahid Reza
Published: September 2022

Inflammation is the body’s biological reaction to endogenous and exogenous stimuli. Recent studies have demonstrated several anti-inflammatory properties of Ferula species. In this paper, we decided to study the anti-inflammatory effect of ethanolic extract of Ferula assafoetida oleo-gum-resin (asafoetida) against TNF-α-stimulated human umbilical vein endothelial cells (HUVECs). HUVECs were cultured in a flat-bottom plate and then treated with ethanolic extract of asafoetida (EEA, 0-500 μg/ml) and TNF-α (0-100 ng/ml) for 24 h. We used the MTT test to assess cell survival. In addition, the LC-MS analysis was performed to determine the active substances. HUVECs were pretreated with EEA and then induced by TNF-α. Intracellular reactive oxygen species (ROS) and adhesion of peripheral blood mononuclear cells (PBMCs) to HUVECs were evaluated with DCFH-DA and CFSE fluorescent probes, respectively. Gene expression of intercellular cell adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule 1 (VCAM-1), and E-selectin and surface expression of ICAM-1 protein were measured using real-time PCR and flow cytometry methods, respectively. While TNF-α significantly increased intracellular ROS formation and PBMC adhesion to TNF-α-induced HUVECs, the pretreatment of HUVECs with EEA (125 and 250 μg/ml) significantly reduced the parameters. In addition, EEA pretreatment decreased TNF-α-induced mRNA expression of VCAM-1 and surface protein expression of ICAM-1 in the target cells. Taken together, the results indicated that EEA prevented ROS generation, triggered by TNF-α, and inhibited the expression of VCAM-1 and ICAM-1, leading to reduced PBMC adhesion. These findings suggest that EEA can probably have anti-inflammatory properties.
Mechanical Fault Diagnosis Technology of Wind Turbine Transmission System Based on Image Features
Authors: Li Lisen , Wang Wenfeng , Cai Anmin , Li Hui , Zhang Linwei , Liu Pengcheng
Published: September 2022

China’s wind power industry has grown dramatically in recent years as the country’s focus on clean energy and renewable energy generation has increased. Mechanical fault diagnosis of wind power transmission is a common wind maintenance method. It has recently become a research hotspot in the field of mechanical fault diagnosis as a method of fault identification based on picture attributes. Time-frequency images, on the other hand, are better for fault analysis and fault diagnosis of wind power transmission machinery than time-domain and frequency-domain images because they contain more information about the operation status of the gear. This work proposes and applies an image feature extraction-based fault diagnostic method to the defect diagnosis of wind-driven mechanical gears. The feature extraction suitable for gear and gear box faults is analyzed, and the improved artificial immune algorithm is used for fault identification. Through collecting normal vibration signals and two kinds of fault vibration signals from the gearbox of wind power transmission in a wind farm and extracting image features on the basis of data processing, the improved algorithm is finally applied for fault analysis. The experimental results show that the fault diagnosis rate of the improved real-value negative selection algorithm is obviously improved and can improve the fault diagnosis rate by 5%.
Designing the Novel Imported Pork Producer Declaration Price Index Using Chinese Customs Import Declarations
Authors: Shao Ankang , Ning Jirsen , Wu Tsu-Yang , Li Haonan , Wu Jimmy Ming-Tai
Published: September 2022

Pork accounts for a high proportion of the Chinese population’s meat consumption, and imported pork is heavily traded, reducing supply of domestic pork in the face of continued demand. Global pork markets are becoming more competitive, riding the wind of the bilateral free trade agreement. The World Food and Agriculture Organization (FAO) compiles prices for other major food categories but does not track changes in the imported pork prices in China. This study has filled this gap by designing the Imported Pork Producer Declaration Price Index (PPI_IPD). Using the well-known Producer Price Index (PPI) model, PPI_IPD is based on the data from Chinese customs import declarations, which has high reliability and reasonableness. For this reason, the index can help governments, enterprises, analysts, and others to conduct analysis for imported pork prices in China and avoid international trade risks. The findings show that proposed PPI_IPD is highly correlated with the Chinese domestic pork market and the pork price industry stock market. The index helps monitor changes in international pork prices and is an effective tool for analyzing and controlling trade risks.
Image Stitching Technology in 3D Film Production Based on Digital Image Processing
Authors: Peng Sijia , Yu Guojing
Published: September 2022

Image stitching in 3D film production synchronizes multiple independent frame images as a single high-resolution output. The stitching process is common for displaying a large coverage or shot in a single frame containing distinct images. For improving the realistic accuracy of 3D film images, this manuscript introduces an Itinerant Pixel-Matching-based Stitching Process (IPMSP). The proposed stitching process relies on cross-sectional pixels identified in merging two or more images. Based on the linear cumulative distribution in augmenting images, the homogeneity feature is identified. If the homogeneity is high then the stitching for linear pixels occurs increasing the frame resolution and size. The cumulative distribution is determined using the recurrent neural network in verifying homogeneity and contrast. For the contrast pixels identified, the cross-sectional matching is performed for substituting similar pixels in the missing sections. The process is repeated until the stitching region is the same based on the homogeneity feature and increased dimensions. Therefore, this process is capable of improving accuracy, precision, substitution, and reducing errors and complexity.
Tanshinone IIA Ameliorates Nonalcoholic Steatohepatitis in Mice by Modulating Neutrophil Extracellular Traps and Hepatocyte Apoptosis
Authors: Xu Lianjie , Liu Xiao , Jia Tao , Sun Yanhong , Du Yan , Wei Shanshan , Wang Wei , Zhang Yurong , Chen Wenhui , Zhang Shan
Published: September 2022

Salvia miltiorrhiza Bunge, a traditional Chinese medicine, is widely used in the treatment of a variety of diseases and syndromes. Tanshinone IIA (TIIA), a phenanthrenequinone-class derivative extracted from S. miltiorrhiza, is one of its main active components and has anti-inflammatory effects on various tissues and cells. This study aimed to investigate the beneficial effects of TIIA on nonalcoholic steatohepatitis (NASH) induced in mice using a methionine choline deficiency (MCD) diet and the underlying mechanism of these. Our results reveal that TIIA remarkably ameliorated hepatic steatosis and inflammation and decreased the serum levels of liver dysfunction markers while increasing the levels of serum total cholesterol and triglycerides in MCD-fed mice. TIIA significantly reduced mRNA levels of the inflammatory factors TNF-α, IL-6, and TGF-β. Similarly, TIIA inhibited caspase-3 and Bax-mediated apoptosis in MCD-fed mice. Together, our data indicate that TIIA inhibits the formation of MPO and CitH3 in neutrophil extracellular traps and inhibits apoptosis mediated by caspase-3 and Bax in hepatocytes, thereby mitigating inflammatory progression in an MCD diet-induced NASH mouse model.
Overcoming Basal Autophagy, Kangai Injection Enhances Cisplatin Cytotoxicity by Regulating FOXO3a‐Dependent Autophagic Cell Death and Apoptosis in Human Lung Adenocarcinoma A549/DDP Cells
Authors: Zhou Huan , Pan Pengyu , Zhao Qiuyu , Liu Wenjun , Sun Ye , Wang Jianbo , Liu Chunying , Wang Chun
Published: September 2022

Cisplatin resistance is one of the major obstacles in the treatment of nonsmall cell lung cancer (NSCLC). Kangai injection (KAI), a Chinese herbal medicine, has been used in tumors as adjuvant treatment, but its exact antitumor mechanism is still unclear. In this study, we first demonstrated that cisplatin‐resistant A549/DDP cells showed a higher level of basal autophagy in response to cisplatin treatment with increasing autophagic protein expression levels of Beclin 1, p62, and LC3 compared to cisplatin‐sensitive A549/DDP cells; then, we assessed the antitumor effect of KAI in cisplatin‐resistant lung adenocarcinoma A549/DDP cells. Our results showed that KAI exhibited direct cytotoxic and chemosensitizing effects in A549/DDP cells. Combining KAI with cisplatin promoted A549/DDP cell apoptosis, which was confirmed by cell cycle arrest, condensed nuclear chromatin, annexin V fluorescein isothiocyanate/propidium iodide (Annexin V‐FITC/PI) staining, and apoptosis‐related protein expression. In addition, combining KAI with cisplatin induced autophagic cell death in A549/DDP cells with a high level of basal autophagy, as indicated by an increase in LC3 spot count, an accumulation of Beclin 1 and LC3 II, and reduced p62 protein expression. We also found that the apoptosis and autophagic cell death induced by cotreatment of KAI and cisplatin in A549/DDP cells were FOXO3a‐dependent as indicated by decreased p‐FOXO3a expression and increased FOXO3a nuclear localization, respectively. Furthermore, the FOXO3a gene knockdown assay further confirmed that KAI enhanced cisplatin cytotoxicity in A549/DDP cells with a high level of basal autophagy by inducing apoptosis and autophagic cell death in a FOXO3a‐dependent manner. These findings suggest that the combination of KAI and cisplatin might support the potential clinical treatment as a novel strategy to overcome cisplatin resistance.
[Retracted] Research on the Influence of Physical Exercise Health on the Mental Health of University Students
Authors: Wang Jinjin , Li Chengbao
Published: September 2022

Exercise has become one of the essential life skills of university students and is also an integral part of physical exercise and mental health. As a positive influence on their physical and mental health, sports can help people to adjust and regulate their emotions and behavior. At the same time, the mental health of university students has been on the decline in recent years. At the university level, students tend to develop anxiety, depression and other emotions and problems, and temptations of all kinds provide a direction for psychological problems to arise. For university educators, the way to improve the mental health of university students is to study the current psychological situation of university students, identify the symptoms, treat them, and adopt scientific and effective interventions while sports are popular among young people as a positive and fun activity. In order to investigate the relationship between sports health and mental health of university students, the author chose thousands of students in a school as the research subjects using experimental methods and mathematical and statistical methods to conduct physical and psychological tests on the research subjects through different comparative experimental content and data results to explore the impact of sports health on the mental health of university students and using professional data analysis software IBM. The data from the physical health assessment and the psychological health assessment obtained from the school assessment center were analyzed by using the independent sample t‐test and correlation analysis method in SPSS Statistics 19.0, so as to investigate the influence of physical health on psychological health.
Mechanics Model for Inclinometer Deformation in Soft Soil and Improvement of the Measurement Method
Authors: Zheng Dengheng , Tang Liansheng , Wang Yuxi , Chen Yang
Published: September 2022

In practical engineering, data of lateral deformation in field soft soil are measured by inclinometers. Error is always present in soft soil deformation surveys due to rigidity differences and other objective factors, which means that the measured data do not reflect the actual amount of soft soil deformation. Therefore, the forces acting on an inclinometer when soft soil deforms and the difference between the soft soil deformation and the inclinometer deformation were analyzed during this study. A mechanics model for inclinometer deformation in soft soil under different geological conditions was developed, and inclinometer deflection equations were obtained, which can be used to calculate quite accurately the maximal deformation of an inclinometer. Combined with monitoring data of an inclinometer tube in the field, this model can be used to determine whether the soft soil completely bypasses the inclinometer pipe, resulting in a complete distortion of the data measured by the inclinometer tube. On this basis, an improved method for performing inclinometer pipe measurements was proposed, recommending that a new inclinometer be inserted to continue the observations when the original inclinometer reaches its ultimate strain.
Human Responses in Public Health Emergencies for Infectious Disease Control: An Overview of Controlled Topologies for Biomedical Applications
Authors: Naseri Kamal , Aliashrafzadeh Hasan , Otadi Maryam , Ebrahimzadeh Farnoosh , Badfar Homayoun , Alipourfard Iraj
Published: September 2022

COVID‐19 originated in Wuhan city of Hubei Province in China in December three years ago. Since then, it has spread to more than 210 countries and territories. This disease is caused by Severe Acute Respiratory Syndrome Coronavirus 2. The virus has a size of one to two nanometers and a single‐stranded positive RNA. Droplets spread the virus from coughing and sneezing. This condition causes coughing, fever, acute respiratory problems, and even death. According to the WHO, the virus can survive outside the body for several hours. This research aimed to determine how environmental factors influenced the COVID‐19 virus’s survival and behavior, as well as its transmission, in a complex environment. Based on the results, virus transmissions are influenced by various human and environmental factors such as population distribution, travel, social behavior, and climate change. Environmental factors have not been adequately examined concerning the transmission of this epidemic. Thus, it is necessary to examine various aspects of prevention and control of this disease, including its effects on climate and other environmental factors.
[Retracted] The Dissemination, Influence, and Efficiency of Jameson’s Cultural Theory Combined with Chinese Mass Culture and Mass Sports Culture in the Sustainable Development of China
Authors: Chen Xia
Published: September 2022

Fredric Jameson’s cultural theory forms a crucial part of the Western Marxist theory. Jameson’s postmodern cultural theory includes cultural expansion, cultural history, cultural hyperspace, cultural ideology, and so on. The cultural expansion includes the outline of popular sports culture. (1) Content: In order to further understand the acceptance of Jameson’s cultural theory in China, this paper explores the communication of Jameson’s cultural theory in different cultural groups, different regions, and different communication channels in China based on the questionnaire survey in a larger span of social groups. Meanwhile, based on Jameson’s theory, it also reveals that sports is an effective way to achieve national stability and rejuvenation. Mainstream culture not only leads fashion, educates the people, serves society, and promotes development but also has the common characteristics of mass culture, commerce, entertainment, popularity, and media dependence. Sports is both mainstream culture and mass culture, which is the positive energy shared by both. (2) Methods: In order to understand the special meaning of Jameson’s cultural theory and its influence on Chinese mass culture and sports, this paper systematically explains Jameson’s cultural theory and gives a critical explanation to Jameson’s cultural theory, different regions, and different communication channels in China based on the questionnaire survey in a large span of mass culture and sports groups. (3) Results: the majority of readers who buy and read Jameson’s cultural works are mainly 25–35 years old with high educational background. The top three regions for the number of consumers who buy his papers and books are Zhejiang, Hubei, and Guangzhou; the top three regions in the number of understanding Jameson’s cultural theory are Beijing, Shanghai, and Shenzhen; 41.62% of the respondents only know Jameson’s name but have not been exposed to his work; and 34.59% of the respondents have learned about his work through news feeds. (4) Conclusion: the influence of Jameson’s cultural theory on Chinese mass culture and sports community is on the rise. Systematic sorting and interpretation of Jameson’s cultural knowledge can provide support for Chinese mass culture and mass sports culture to carry forward socialist cultural thoughts.
Yanghe Pingchuan Granules Alleviate Airway Inflammation in Bronchial Asthma and Inhibit Pyroptosis by Blocking the TLR4/NF-κB/NRLP3 Signaling Pathway
Authors: Pan Lingyu , Chen Yan , Jiang Yeke , Sun Yehong , Han Yanquan , Wang Yongzhong
Published: September 2022

Bronchial asthma (BA) is a chronic inflammatory disease of the airway. Previous research has shown that Yanghe Pingchuan granules (YPGs) exert a precise therapeutic effect on BA. In our previous work, we showed that YPGs improved inflammation of the airways in rat models of BA. Other studies have shown that the pathogenesis of BA is closely related to pyroptosis and that the TOLL-like receptor pathway plays a key role in the mediation of pyroptosis. Therefore, in the present study, we established a rat model of BA by applying the concept of pyroptosis and used the TLR4/NF-κB/NRLP3 signaling pathway as the target and YPGs as the treatment method. We evaluated the effects of YPGs on airway inflammation and pyroptosis in the model rats by HE staining, Masson’s staining, AP-PAS staining, western blotting, and real-time quantitative PCR. The results showed that Yanghe Pingchuan granules could significantly improve the inflammatory response of bronchial tissue in BA rats, reduce the content of inflammatory factors IL-1β and IL-18, and inhibit the expression of pyroptosis factor. Meanwhile, YPG can block the TLR4/NF-κB signaling pathway. These findings suggest that YPG may be an effective drug for the treatment of BA by blocking the TLR4/NF-κB signaling pathway and inhibiting pyroptosis.
Construction of Multiobjective Planning Decision‐Making Model of Ecological Building Spatial Layout under the Background of Rural Revitalization
Authors: Liu Ying , Long Yong-Di , Wang Bo-Hai , She Xing
Published: September 2022

In order to improve the spatial layout ability of ecological buildings under the background of rural revitalization, a multiobjective planning and decision‐making model for the spatial layout of ecological buildings is constructed. Based on the visual impact detection of ecological building space, a three‐dimensional rendering model is established. The block matrix matching and boundary contour parameter analysis methods are used to plan and design the layout boundary feature points, and the wavelet scale decomposition method is used to analyze the mixed tone of the layout image. Based on this, a multiobjective planning decision‐making model for the spatial layout of ecological buildings is established, based on which the spatial layout design scheme of ecological buildings is output to realize the spatial layout planning of ecological buildings. The simulation results show that the spatial layout of ecological buildings using this method is more reasonable, and the expression ability of ecological aesthetics is stronger, which has a good application value in rural planning and design.
Research on Influencing Factors of Consumption and Purchase Intention of Camellia Oil in Coastal Areas Based on Logistics Model
Authors: Wu Xue
Published: September 2022

Camellia oil contains a variety of active substances, which have the functions of strengthening the heart and lowering cholesterol, and can prevent a variety of cardiovascular and cerebrovascular diseases caused by vascular sclerosis edible oil. Based on the logistics model, this paper builds a research model on the influencing factors of consumption and purchase intention and analyzes the coastal areas of camellia oil. Using this model, it makes an empirical analysis and research on the differences in the purchase intention and influencing factors of different consumers of camellia oil. Based on the results of empirical analysis, the main research conclusions of this paper are extracted, including the influencing factors of consumers’ camellia oil purchase willingness and the differences in the influencing factors of consumers’ camellia oil purchase willingness under different income levels, and put forward some corresponding measures and policy suggestions in a targeted manner. Based on the research model of the influencing factors of purchase intention established by logistic algorithm, this paper analyzes the coastal areas of Chashan oil and finds that the factors affecting consumers’ purchase intention are positively related to education and personal monthly income and negatively related to gender. “Educational education” is significant at 1% and has a positive correlation with a coefficient of 0.864; personal income is significant at 5% with a coefficient of 0.762; for gender, it is negatively correlated with a coefficient of -0.259, indicating that other variables remain unchanged. Education can promote consumers’ willingness to buy camellia oil, and consumers with higher education are more likely to buy camellia oil. In the same regression prediction model, the regression prediction efficiency of this model is better. In general, this shows that the model in this paper has certain superior performance.